2023/04/02 17:33:24 - mmengine - INFO - ------------------------------------------------------------ System environment: sys.platform: linux Python: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0] CUDA available: True numpy_random_seed: 526623202 GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB CUDA_HOME: /usr/local/cuda-11.7 NVCC: Cuda compilation tools, release 11.7, V11.7.99 GCC: gcc (GCC) 11.3.0 PyTorch: 1.13.1+cu116 PyTorch compiling details: PyTorch built with: - GCC 9.3 - C++ Version: 201402 - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815) - OpenMP 201511 (a.k.a. OpenMP 4.5) - LAPACK is enabled (usually provided by MKL) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.6 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 - CuDNN 8.8 (built against CUDA 11.8) - Built with CuDNN 8.3.2 - Magma 2.6.1 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, TorchVision: 0.14.1+cu116 OpenCV: 4.7.0 MMEngine: 0.7.0 Runtime environment: cudnn_benchmark: False mp_cfg: {'mp_start_method': 'fork', 'opencv_num_threads': 0} dist_cfg: {'backend': 'nccl'} seed: None deterministic: False Distributed launcher: pytorch Distributed training: True GPU number: 8 ------------------------------------------------------------ 2023/04/02 17:33:24 - mmengine - INFO - Config: model = dict( _scope_='mmrazor', type='MMArchitectureQuant', data_preprocessor=dict( type='mmcls.ClsDataPreprocessor', num_classes=1000, mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), architecture=dict( type='ImageClassifier', backbone=dict( type='ResNet', depth=18, num_stages=4, out_indices=(3, ), style='pytorch'), neck=dict(type='GlobalAveragePooling'), head=dict( type='LinearClsHead', num_classes=1000, in_channels=512, loss=dict(type='CrossEntropyLoss', loss_weight=1.0), topk=(1, 5)), _scope_='mmcls'), float_checkpoint= 'https://download.openmmlab.com/mmclassification/v0/resnet/resnet18_8xb32_in1k_20210831-fbbb1da6.pth', quantizer=dict( type='mmrazor.OpenVINOQuantizer', global_qconfig=dict( w_observer=dict(type='mmrazor.LSQPerChannelObserver'), a_observer=dict(type='mmrazor.LSQObserver'), w_fake_quant=dict(type='mmrazor.LearnableFakeQuantize'), a_fake_quant=dict(type='mmrazor.LearnableFakeQuantize'), w_qscheme=dict( qdtype='qint8', bit=8, is_symmetry=True, is_symmetric_range=True), a_qscheme=dict(qdtype='quint8', bit=8, is_symmetry=True)), tracer=dict( type='mmrazor.CustomTracer', skipped_methods=[ 'mmcls.models.heads.ClsHead._get_loss', 'mmcls.models.heads.ClsHead._get_predictions' ]))) dataset_type = 'ImageNet' data_preprocessor = dict( num_classes=1000, mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) train_pipeline = [ dict(type='LoadImageFromFile', _scope_='mmcls'), dict(type='RandomResizedCrop', scale=224, _scope_='mmcls'), dict(type='RandomFlip', prob=0.5, direction='horizontal', _scope_='mmcls'), dict(type='PackClsInputs', _scope_='mmcls') ] test_pipeline = [ dict(type='LoadImageFromFile', _scope_='mmcls'), dict(type='ResizeEdge', scale=256, edge='short', _scope_='mmcls'), dict(type='CenterCrop', crop_size=224, _scope_='mmcls'), dict(type='PackClsInputs', _scope_='mmcls') ] train_dataloader = dict( batch_size=32, num_workers=5, dataset=dict( type='ImageNet', data_root='data/imagenet', ann_file='meta/train.txt', data_prefix='train', pipeline=[ dict(type='LoadImageFromFile'), dict(type='RandomResizedCrop', scale=224), dict(type='RandomFlip', prob=0.5, direction='horizontal'), dict(type='PackClsInputs') ], _scope_='mmcls'), sampler=dict(type='DefaultSampler', shuffle=True, _scope_='mmcls')) val_dataloader = dict( batch_size=32, num_workers=5, dataset=dict( type='ImageNet', data_root='data/imagenet', ann_file='meta/val.txt', data_prefix='val', pipeline=[ dict(type='LoadImageFromFile'), dict(type='ResizeEdge', scale=256, edge='short'), dict(type='CenterCrop', crop_size=224), dict(type='PackClsInputs') ], _scope_='mmcls'), sampler=dict(type='DefaultSampler', shuffle=False, _scope_='mmcls')) val_evaluator = dict(type='Accuracy', topk=(1, 5), _scope_='mmcls') test_dataloader = dict( batch_size=32, num_workers=5, dataset=dict( type='ImageNet', data_root='data/imagenet', ann_file='meta/val.txt', data_prefix='val', pipeline=[ dict(type='LoadImageFromFile'), dict(type='ResizeEdge', scale=256, edge='short'), dict(type='CenterCrop', crop_size=224), dict(type='PackClsInputs') ], _scope_='mmcls'), sampler=dict(type='DefaultSampler', shuffle=False, _scope_='mmcls')) test_evaluator = dict(type='Accuracy', topk=(1, 5), _scope_='mmcls') optim_wrapper = dict( optimizer=dict( type='SGD', lr=0.0001, momentum=0.9, weight_decay=0.0001, _scope_='mmcls')) param_scheduler = dict( type='CosineAnnealingLR', T_max=100, by_epoch=True, begin=0, end=100) train_cfg = dict( type='mmrazor.LSQEpochBasedLoop', max_epochs=100, val_interval=1) val_cfg = dict(type='mmrazor.QATValLoop') test_cfg = dict(type='mmrazor.QATValLoop') auto_scale_lr = dict(base_batch_size=256) default_scope = 'mmcls' default_hooks = dict( timer=dict(type='IterTimerHook', _scope_='mmcls'), logger=dict(type='LoggerHook', interval=100, _scope_='mmcls'), param_scheduler=dict(type='ParamSchedulerHook', _scope_='mmcls'), checkpoint=dict( type='CheckpointHook', interval=1, _scope_='mmcls', max_keep_ckpts=3), sampler_seed=dict(type='DistSamplerSeedHook', _scope_='mmcls'), visualization=dict( type='VisualizationHook', enable=False, _scope_='mmcls')) env_cfg = dict( cudnn_benchmark=False, mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0), dist_cfg=dict(backend='nccl')) vis_backends = [dict(type='LocalVisBackend', _scope_='mmcls')] visualizer = dict( type='ClsVisualizer', vis_backends=[dict(type='LocalVisBackend')], _scope_='mmcls') log_level = 'INFO' load_from = None resume = False randomness = dict(seed=None, deterministic=False) resnet = dict( type='ImageClassifier', backbone=dict( type='ResNet', depth=18, num_stages=4, out_indices=(3, ), style='pytorch'), neck=dict(type='GlobalAveragePooling'), head=dict( type='LinearClsHead', num_classes=1000, in_channels=512, loss=dict(type='CrossEntropyLoss', loss_weight=1.0), topk=(1, 5)), _scope_='mmcls') float_checkpoint = 'https://download.openmmlab.com/mmclassification/v0/resnet/resnet18_8xb32_in1k_20210831-fbbb1da6.pth' global_qconfig = dict( w_observer=dict(type='mmrazor.LSQPerChannelObserver'), a_observer=dict(type='mmrazor.LSQObserver'), w_fake_quant=dict(type='mmrazor.LearnableFakeQuantize'), a_fake_quant=dict(type='mmrazor.LearnableFakeQuantize'), w_qscheme=dict( qdtype='qint8', bit=8, is_symmetry=True, is_symmetric_range=True), a_qscheme=dict(qdtype='quint8', bit=8, is_symmetry=True)) model_wrapper_cfg = dict( type='mmrazor.MMArchitectureQuantDDP', broadcast_buffers=False, find_unused_parameters=True) launcher = 'pytorch' work_dir = 'r18_lsq' 2023/04/02 17:33:25 - mmengine - WARNING - The "task util" registry in mmrazor did not set import location. Fallback to call `mmrazor.utils.register_all_modules` instead. 2023/04/02 17:33:26 - mmengine - WARNING - The "model_wrapper" registry in mmrazor did not set import location. Fallback to call `mmrazor.utils.register_all_modules` instead. 2023/04/02 17:33:31 - mmengine - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) RuntimeInfoHook (BELOW_NORMAL) LoggerHook -------------------- before_train: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (VERY_LOW ) CheckpointHook -------------------- before_train_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (NORMAL ) DistSamplerSeedHook -------------------- before_train_iter: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook -------------------- after_train_iter: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- after_train_epoch: (NORMAL ) IterTimerHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- before_val_epoch: (NORMAL ) IterTimerHook -------------------- before_val_iter: (NORMAL ) IterTimerHook -------------------- after_val_iter: (NORMAL ) IterTimerHook (NORMAL ) VisualizationHook (BELOW_NORMAL) LoggerHook -------------------- after_val_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- before_test_epoch: (NORMAL ) IterTimerHook -------------------- before_test_iter: (NORMAL ) IterTimerHook -------------------- after_test_iter: (NORMAL ) IterTimerHook (NORMAL ) VisualizationHook (BELOW_NORMAL) LoggerHook -------------------- after_test_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook -------------------- after_run: (BELOW_NORMAL) LoggerHook -------------------- 2023/04/02 17:33:31 - mmengine - WARNING - The "loop" registry in mmrazor did not set import location. Fallback to call `mmrazor.utils.register_all_modules` instead. 2023/04/02 17:33:38 - mmengine - WARNING - init_weights of ImageClassifier has been called more than once. Name of parameter - Initialization information architecture.backbone.conv1.weight - torch.Size([64, 3, 7, 7]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.bn1.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.bn1.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer1.0.conv1.weight - torch.Size([64, 64, 3, 3]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer1.0.bn1.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer1.0.bn1.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer1.0.conv2.weight - torch.Size([64, 64, 3, 3]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer1.0.bn2.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer1.0.bn2.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer1.1.conv1.weight - torch.Size([64, 64, 3, 3]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer1.1.bn1.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer1.1.bn1.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer1.1.conv2.weight - torch.Size([64, 64, 3, 3]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer1.1.bn2.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer1.1.bn2.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer2.0.conv1.weight - torch.Size([128, 64, 3, 3]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer2.0.bn1.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer2.0.bn1.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer2.0.conv2.weight - torch.Size([128, 128, 3, 3]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer2.0.bn2.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer2.0.bn2.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer2.0.downsample.0.weight - torch.Size([128, 64, 1, 1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer2.0.downsample.1.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer2.0.downsample.1.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer2.1.conv1.weight - torch.Size([128, 128, 3, 3]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer2.1.bn1.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer2.1.bn1.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer2.1.conv2.weight - torch.Size([128, 128, 3, 3]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer2.1.bn2.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer2.1.bn2.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer3.0.conv1.weight - torch.Size([256, 128, 3, 3]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer3.0.bn1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer3.0.bn1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer3.0.conv2.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer3.0.bn2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer3.0.bn2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer3.0.downsample.0.weight - torch.Size([256, 128, 1, 1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer3.0.downsample.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer3.0.downsample.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer3.1.conv1.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer3.1.bn1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer3.1.bn1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer3.1.conv2.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer3.1.bn2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer3.1.bn2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer4.0.conv1.weight - torch.Size([512, 256, 3, 3]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer4.0.bn1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer4.0.bn1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer4.0.conv2.weight - torch.Size([512, 512, 3, 3]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer4.0.bn2.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer4.0.bn2.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer4.0.downsample.0.weight - torch.Size([512, 256, 1, 1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer4.0.downsample.1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer4.0.downsample.1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer4.1.conv1.weight - torch.Size([512, 512, 3, 3]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer4.1.bn1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer4.1.bn1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer4.1.conv2.weight - torch.Size([512, 512, 3, 3]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer4.1.bn2.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.backbone.layer4.1.bn2.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.head.fc.weight - torch.Size([1000, 512]): The value is the same before and after calling `init_weights` of MMArchitectureQuant architecture.head.fc.bias - torch.Size([1000]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.activation_post_process_0.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.backbone.conv1.weight_fake_quant.scale - torch.Size([64]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.backbone.layer1.0.conv1.weight_fake_quant.scale - torch.Size([64]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.backbone.layer1.0.conv2.weight_fake_quant.scale - torch.Size([64]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.backbone.layer1.1.conv1.weight_fake_quant.scale - torch.Size([64]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.backbone.layer1.1.conv2.weight_fake_quant.scale - torch.Size([64]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.backbone.layer2.0.conv1.weight_fake_quant.scale - torch.Size([128]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.backbone.layer2.0.conv2.weight_fake_quant.scale - torch.Size([128]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.backbone.layer2.0.downsample.0.weight_fake_quant.scale - torch.Size([128]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.backbone.layer2.1.conv1.weight_fake_quant.scale - torch.Size([128]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.backbone.layer2.1.conv2.weight_fake_quant.scale - torch.Size([128]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.backbone.layer3.0.conv1.weight_fake_quant.scale - torch.Size([256]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.backbone.layer3.0.conv2.weight_fake_quant.scale - torch.Size([256]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.backbone.layer3.0.downsample.0.weight_fake_quant.scale - torch.Size([256]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.backbone.layer3.1.conv1.weight_fake_quant.scale - torch.Size([256]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.backbone.layer3.1.conv2.weight_fake_quant.scale - torch.Size([256]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.backbone.layer4.0.conv1.weight_fake_quant.scale - torch.Size([512]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.backbone.layer4.0.conv2.weight_fake_quant.scale - torch.Size([512]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.backbone.layer4.0.downsample.0.weight_fake_quant.scale - torch.Size([512]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.backbone.layer4.1.conv1.weight_fake_quant.scale - torch.Size([512]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.backbone.layer4.1.conv2.weight_fake_quant.scale - torch.Size([512]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.activation_post_process_1.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.activation_post_process_3.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.activation_post_process_5.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.activation_post_process_6.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.activation_post_process_7.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.activation_post_process_9.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.activation_post_process_10.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.activation_post_process_11.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.activation_post_process_13.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.activation_post_process_14.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.activation_post_process_15.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.activation_post_process_16.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.activation_post_process_18.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.activation_post_process_19.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.activation_post_process_20.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.activation_post_process_22.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.activation_post_process_23.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.activation_post_process_24.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.activation_post_process_25.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.activation_post_process_27.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.activation_post_process_28.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.activation_post_process_29.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.activation_post_process_31.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.activation_post_process_32.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.activation_post_process_33.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.activation_post_process_34.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.activation_post_process_36.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.tensor.head.fc.weight_fake_quant.scale - torch.Size([1000]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.activation_post_process_0.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.backbone.conv1.weight_fake_quant.scale - torch.Size([64]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.backbone.layer1.0.conv1.weight_fake_quant.scale - torch.Size([64]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.backbone.layer1.0.conv2.weight_fake_quant.scale - torch.Size([64]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.backbone.layer1.1.conv1.weight_fake_quant.scale - torch.Size([64]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.backbone.layer1.1.conv2.weight_fake_quant.scale - torch.Size([64]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.backbone.layer2.0.conv1.weight_fake_quant.scale - torch.Size([128]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.backbone.layer2.0.conv2.weight_fake_quant.scale - torch.Size([128]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.backbone.layer2.0.downsample.0.weight_fake_quant.scale - torch.Size([128]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.backbone.layer2.1.conv1.weight_fake_quant.scale - torch.Size([128]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.backbone.layer2.1.conv2.weight_fake_quant.scale - torch.Size([128]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.backbone.layer3.0.conv1.weight_fake_quant.scale - torch.Size([256]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.backbone.layer3.0.conv2.weight_fake_quant.scale - torch.Size([256]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.backbone.layer3.0.downsample.0.weight_fake_quant.scale - torch.Size([256]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.backbone.layer3.1.conv1.weight_fake_quant.scale - torch.Size([256]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.backbone.layer3.1.conv2.weight_fake_quant.scale - torch.Size([256]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.backbone.layer4.0.conv1.weight_fake_quant.scale - torch.Size([512]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.backbone.layer4.0.conv2.weight_fake_quant.scale - torch.Size([512]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.backbone.layer4.0.downsample.0.weight_fake_quant.scale - torch.Size([512]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.backbone.layer4.1.conv1.weight_fake_quant.scale - torch.Size([512]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.backbone.layer4.1.conv2.weight_fake_quant.scale - torch.Size([512]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.activation_post_process_1.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.activation_post_process_3.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.activation_post_process_5.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.activation_post_process_6.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.activation_post_process_7.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.activation_post_process_9.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.activation_post_process_10.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.activation_post_process_11.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.activation_post_process_13.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.activation_post_process_14.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.activation_post_process_15.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.activation_post_process_16.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.activation_post_process_18.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.activation_post_process_19.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.activation_post_process_20.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.activation_post_process_22.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.activation_post_process_23.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.activation_post_process_24.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.activation_post_process_25.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.activation_post_process_27.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.activation_post_process_28.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.activation_post_process_29.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.activation_post_process_31.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.activation_post_process_32.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.activation_post_process_33.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.activation_post_process_34.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.activation_post_process_36.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.predict.head.fc.weight_fake_quant.scale - torch.Size([1000]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.activation_post_process_0.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.backbone.conv1.weight_fake_quant.scale - torch.Size([64]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.backbone.layer1.0.conv1.weight_fake_quant.scale - torch.Size([64]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.backbone.layer1.0.conv2.weight_fake_quant.scale - torch.Size([64]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.backbone.layer1.1.conv1.weight_fake_quant.scale - torch.Size([64]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.backbone.layer1.1.conv2.weight_fake_quant.scale - torch.Size([64]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.backbone.layer2.0.conv1.weight_fake_quant.scale - torch.Size([128]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.backbone.layer2.0.conv2.weight_fake_quant.scale - torch.Size([128]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.backbone.layer2.0.downsample.0.weight_fake_quant.scale - torch.Size([128]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.backbone.layer2.1.conv1.weight_fake_quant.scale - torch.Size([128]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.backbone.layer2.1.conv2.weight_fake_quant.scale - torch.Size([128]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.backbone.layer3.0.conv1.weight_fake_quant.scale - torch.Size([256]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.backbone.layer3.0.conv2.weight_fake_quant.scale - torch.Size([256]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.backbone.layer3.0.downsample.0.weight_fake_quant.scale - torch.Size([256]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.backbone.layer3.1.conv1.weight_fake_quant.scale - torch.Size([256]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.backbone.layer3.1.conv2.weight_fake_quant.scale - torch.Size([256]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.backbone.layer4.0.conv1.weight_fake_quant.scale - torch.Size([512]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.backbone.layer4.0.conv2.weight_fake_quant.scale - torch.Size([512]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.backbone.layer4.0.downsample.0.weight_fake_quant.scale - torch.Size([512]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.backbone.layer4.1.conv1.weight_fake_quant.scale - torch.Size([512]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.backbone.layer4.1.conv2.weight_fake_quant.scale - torch.Size([512]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.activation_post_process_1.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.activation_post_process_3.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.activation_post_process_5.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.activation_post_process_6.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.activation_post_process_7.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.activation_post_process_9.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.activation_post_process_10.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.activation_post_process_11.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.activation_post_process_13.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.activation_post_process_14.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.activation_post_process_15.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.activation_post_process_16.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.activation_post_process_18.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.activation_post_process_19.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.activation_post_process_20.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.activation_post_process_22.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.activation_post_process_23.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.activation_post_process_24.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.activation_post_process_25.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.activation_post_process_27.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.activation_post_process_28.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.activation_post_process_29.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.activation_post_process_31.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.activation_post_process_32.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.activation_post_process_33.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.activation_post_process_34.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.activation_post_process_36.scale - torch.Size([1]): The value is the same before and after calling `init_weights` of MMArchitectureQuant qmodels.loss.head.fc.weight_fake_quant.scale - torch.Size([1000]): The value is the same before and after calling `init_weights` of MMArchitectureQuant 2023/04/02 17:33:38 - mmengine - WARNING - "FileClient" will be deprecated in future. Please use io functions in https://mmengine.readthedocs.io/en/latest/api/fileio.html#file-io 2023/04/02 17:33:38 - mmengine - WARNING - "HardDiskBackend" is the alias of "LocalBackend" and the former will be deprecated in future. 2023/04/02 17:33:38 - mmengine - INFO - Checkpoints will be saved to /nvme/caoweihan.p/projects/mmrazor/r18_lsq. 2023/04/02 17:33:43 - mmengine - INFO - Epoch(val) [0][100/196] eta: 0:00:04 time: 0.0329 data_time: 0.0082 memory: 421 2023/04/02 17:33:55 - mmengine - INFO - Epoch(val) [0][196/196] qat.accuracy/top1: 0.1000 qat.accuracy/top5: 0.5000data_time: 0.0073 time: 0.0313 2023/04/02 17:33:59 - mmengine - INFO - Epoch(val) [0][100/196] eta: 0:00:04 time: 0.0358 data_time: 0.0084 memory: 421 2023/04/02 17:34:11 - mmengine - INFO - Epoch(val) [0][196/196] qat.accuracy/top1: 0.1000 qat.accuracy/top5: 0.5000data_time: 0.0068 time: 0.0318 2023/04/02 17:34:14 - mmengine - INFO - Epoch(val) [0][100/196] eta: 0:00:02 time: 0.0238 data_time: 0.0134 memory: 376 2023/04/02 17:34:27 - mmengine - INFO - Epoch(val) [0][196/196] original.accuracy/top1: 69.9020 original.accuracy/top5: 89.4280data_time: 0.0173 time: 0.0273 2023/04/02 17:34:36 - mmengine - INFO - Epoch(train) [1][ 100/5005] lr: 1.0000e-04 eta: 12:24:35 time: 0.0735 data_time: 0.0178 memory: 1733 loss: 1.3785 2023/04/02 17:34:44 - mmengine - INFO - Epoch(train) [1][ 200/5005] lr: 1.0000e-04 eta: 11:37:45 time: 0.0758 data_time: 0.0183 memory: 1733 loss: 1.3063 2023/04/02 17:34:51 - mmengine - INFO - Epoch(train) [1][ 300/5005] lr: 1.0000e-04 eta: 11:09:43 time: 0.0733 data_time: 0.0178 memory: 1733 loss: 1.2824 2023/04/02 17:34:59 - mmengine - INFO - Epoch(train) [1][ 400/5005] lr: 1.0000e-04 eta: 10:59:38 time: 0.0785 data_time: 0.0184 memory: 1733 loss: 1.5929 2023/04/02 17:35:06 - mmengine - INFO - Epoch(train) [1][ 500/5005] lr: 1.0000e-04 eta: 10:55:25 time: 0.0763 data_time: 0.0177 memory: 1733 loss: 1.4202 2023/04/02 17:35:15 - mmengine - INFO - Epoch(train) [1][ 600/5005] lr: 1.0000e-04 eta: 11:01:59 time: 0.0775 data_time: 0.0176 memory: 1733 loss: 1.4602 2023/04/02 17:35:23 - mmengine - INFO - Epoch(train) [1][ 700/5005] lr: 1.0000e-04 eta: 11:04:57 time: 0.0769 data_time: 0.0182 memory: 1733 loss: 1.4853 2023/04/02 17:35:30 - mmengine - INFO - Epoch(train) [1][ 800/5005] lr: 1.0000e-04 eta: 11:01:08 time: 0.0722 data_time: 0.0176 memory: 1733 loss: 1.4677 2023/04/02 17:35:38 - mmengine - INFO - Epoch(train) [1][ 900/5005] lr: 1.0000e-04 eta: 10:59:10 time: 0.0885 data_time: 0.0189 memory: 1684 loss: 1.3500 2023/04/02 17:35:46 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 17:35:46 - mmengine - INFO - Epoch(train) [1][1000/5005] lr: 1.0000e-04 eta: 10:56:21 time: 0.0753 data_time: 0.0182 memory: 1684 loss: 1.3508 2023/04/02 17:35:53 - mmengine - INFO - Epoch(train) [1][1100/5005] lr: 1.0000e-04 eta: 10:53:00 time: 0.0745 data_time: 0.0166 memory: 1684 loss: 1.3254 2023/04/02 17:36:01 - mmengine - INFO - Epoch(train) [1][1200/5005] lr: 1.0000e-04 eta: 10:54:31 time: 0.0763 data_time: 0.0168 memory: 1684 loss: 1.3443 2023/04/02 17:36:09 - mmengine - INFO - Epoch(train) [1][1300/5005] lr: 1.0000e-04 eta: 10:55:39 time: 0.0748 data_time: 0.0170 memory: 1684 loss: 1.1858 2023/04/02 17:36:17 - mmengine - INFO - Epoch(train) [1][1400/5005] lr: 1.0000e-04 eta: 10:55:33 time: 0.0760 data_time: 0.0164 memory: 1684 loss: 1.1800 2023/04/02 17:36:25 - mmengine - INFO - Epoch(train) [1][1500/5005] lr: 1.0000e-04 eta: 10:53:33 time: 0.0745 data_time: 0.0166 memory: 1684 loss: 1.2958 2023/04/02 17:36:32 - mmengine - INFO - Epoch(train) [1][1600/5005] lr: 1.0000e-04 eta: 10:52:03 time: 0.0858 data_time: 0.0166 memory: 1684 loss: 1.4808 2023/04/02 17:36:40 - mmengine - INFO - Epoch(train) [1][1700/5005] lr: 1.0000e-04 eta: 10:51:15 time: 0.0844 data_time: 0.0169 memory: 1684 loss: 1.3395 2023/04/02 17:36:48 - mmengine - INFO - Epoch(train) [1][1800/5005] lr: 1.0000e-04 eta: 10:51:38 time: 0.0765 data_time: 0.0169 memory: 1684 loss: 1.4226 2023/04/02 17:36:56 - mmengine - INFO - Epoch(train) [1][1900/5005] lr: 1.0000e-04 eta: 10:51:20 time: 0.0758 data_time: 0.0168 memory: 1684 loss: 1.3023 2023/04/02 17:37:04 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 17:37:04 - mmengine - INFO - Epoch(train) [1][2000/5005] lr: 1.0000e-04 eta: 10:51:30 time: 0.0769 data_time: 0.0167 memory: 1684 loss: 1.6421 2023/04/02 17:37:12 - mmengine - INFO - Epoch(train) [1][2100/5005] lr: 1.0000e-04 eta: 10:52:29 time: 0.0734 data_time: 0.0167 memory: 1684 loss: 1.3663 2023/04/02 17:37:20 - mmengine - INFO - Epoch(train) [1][2200/5005] lr: 1.0000e-04 eta: 10:52:16 time: 0.0855 data_time: 0.0169 memory: 1684 loss: 1.4542 2023/04/02 17:37:28 - mmengine - INFO - Epoch(train) [1][2300/5005] lr: 1.0000e-04 eta: 10:52:22 time: 0.0850 data_time: 0.0179 memory: 1684 loss: 1.2672 2023/04/02 17:37:36 - mmengine - INFO - Epoch(train) [1][2400/5005] lr: 1.0000e-04 eta: 10:53:01 time: 0.0883 data_time: 0.0170 memory: 1684 loss: 1.3286 2023/04/02 17:37:44 - mmengine - INFO - Epoch(train) [1][2500/5005] lr: 1.0000e-04 eta: 10:53:41 time: 0.0795 data_time: 0.0171 memory: 1684 loss: 1.1680 2023/04/02 17:37:51 - mmengine - INFO - Epoch(train) [1][2600/5005] lr: 1.0000e-04 eta: 10:52:40 time: 0.0741 data_time: 0.0171 memory: 1684 loss: 1.3943 2023/04/02 17:37:59 - mmengine - INFO - Epoch(train) [1][2700/5005] lr: 1.0000e-04 eta: 10:51:52 time: 0.0749 data_time: 0.0170 memory: 1684 loss: 1.2557 2023/04/02 17:38:07 - mmengine - INFO - Epoch(train) [1][2800/5005] lr: 1.0000e-04 eta: 10:51:48 time: 0.0985 data_time: 0.0169 memory: 1684 loss: 1.5062 2023/04/02 17:38:15 - mmengine - INFO - Epoch(train) [1][2900/5005] lr: 1.0000e-04 eta: 10:52:34 time: 0.0865 data_time: 0.0169 memory: 1684 loss: 1.2045 2023/04/02 17:38:23 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 17:38:23 - mmengine - INFO - Epoch(train) [1][3000/5005] lr: 1.0000e-04 eta: 10:52:14 time: 0.0733 data_time: 0.0167 memory: 1684 loss: 1.3307 2023/04/02 17:38:31 - mmengine - INFO - Epoch(train) [1][3100/5005] lr: 1.0000e-04 eta: 10:51:48 time: 0.0747 data_time: 0.0170 memory: 1684 loss: 1.2948 2023/04/02 17:38:38 - mmengine - INFO - Epoch(train) [1][3200/5005] lr: 1.0000e-04 eta: 10:51:06 time: 0.0739 data_time: 0.0167 memory: 1684 loss: 1.2687 2023/04/02 17:38:46 - mmengine - INFO - Epoch(train) [1][3300/5005] lr: 1.0000e-04 eta: 10:50:12 time: 0.0867 data_time: 0.0171 memory: 1684 loss: 1.4930 2023/04/02 17:38:54 - mmengine - INFO - Epoch(train) [1][3400/5005] lr: 1.0000e-04 eta: 10:50:47 time: 0.0848 data_time: 0.0171 memory: 1684 loss: 1.1466 2023/04/02 17:39:02 - mmengine - INFO - Epoch(train) [1][3500/5005] lr: 1.0000e-04 eta: 10:51:01 time: 0.0755 data_time: 0.0168 memory: 1684 loss: 1.3529 2023/04/02 17:39:10 - mmengine - INFO - Epoch(train) [1][3600/5005] lr: 1.0000e-04 eta: 10:50:54 time: 0.0780 data_time: 0.0168 memory: 1684 loss: 1.4990 2023/04/02 17:39:18 - mmengine - INFO - Epoch(train) [1][3700/5005] lr: 1.0000e-04 eta: 10:51:03 time: 0.0747 data_time: 0.0169 memory: 1684 loss: 1.3258 2023/04/02 17:39:25 - mmengine - INFO - Epoch(train) [1][3800/5005] lr: 1.0000e-04 eta: 10:49:45 time: 0.0739 data_time: 0.0166 memory: 1684 loss: 1.2959 2023/04/02 17:39:33 - mmengine - INFO - Epoch(train) [1][3900/5005] lr: 1.0000e-04 eta: 10:49:16 time: 0.0841 data_time: 0.0161 memory: 1684 loss: 1.3035 2023/04/02 17:39:41 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 17:39:41 - mmengine - INFO - Epoch(train) [1][4000/5005] lr: 1.0000e-04 eta: 10:50:02 time: 0.1007 data_time: 0.0167 memory: 1684 loss: 1.2317 2023/04/02 17:39:49 - mmengine - INFO - Epoch(train) [1][4100/5005] lr: 1.0000e-04 eta: 10:50:25 time: 0.0741 data_time: 0.0169 memory: 1684 loss: 1.5343 2023/04/02 17:39:57 - mmengine - INFO - Epoch(train) [1][4200/5005] lr: 1.0000e-04 eta: 10:50:21 time: 0.0751 data_time: 0.0168 memory: 1684 loss: 1.3298 2023/04/02 17:40:05 - mmengine - INFO - Epoch(train) [1][4300/5005] lr: 1.0000e-04 eta: 10:49:39 time: 0.0763 data_time: 0.0168 memory: 1684 loss: 1.3093 2023/04/02 17:40:13 - mmengine - INFO - Epoch(train) [1][4400/5005] lr: 1.0000e-04 eta: 10:49:51 time: 0.0797 data_time: 0.0170 memory: 1684 loss: 1.2556 2023/04/02 17:40:21 - mmengine - INFO - Epoch(train) [1][4500/5005] lr: 1.0000e-04 eta: 10:49:55 time: 0.0763 data_time: 0.0162 memory: 1684 loss: 1.3485 2023/04/02 17:40:29 - mmengine - INFO - Epoch(train) [1][4600/5005] lr: 1.0000e-04 eta: 10:49:59 time: 0.0734 data_time: 0.0166 memory: 1684 loss: 1.2515 2023/04/02 17:40:37 - mmengine - INFO - Epoch(train) [1][4700/5005] lr: 1.0000e-04 eta: 10:49:58 time: 0.0768 data_time: 0.0167 memory: 1684 loss: 1.3679 2023/04/02 17:40:44 - mmengine - INFO - Epoch(train) [1][4800/5005] lr: 1.0000e-04 eta: 10:49:29 time: 0.0755 data_time: 0.0167 memory: 1684 loss: 1.4114 2023/04/02 17:40:52 - mmengine - INFO - Epoch(train) [1][4900/5005] lr: 1.0000e-04 eta: 10:49:22 time: 0.0794 data_time: 0.0167 memory: 1684 loss: 1.3680 2023/04/02 17:41:00 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 17:41:00 - mmengine - INFO - Epoch(train) [1][5000/5005] lr: 1.0000e-04 eta: 10:49:13 time: 0.0779 data_time: 0.0177 memory: 1684 loss: 1.2286 2023/04/02 17:41:00 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 17:41:01 - mmengine - INFO - Saving checkpoint at 1 epochs 2023/04/02 17:41:07 - mmengine - INFO - Epoch(val) [1][100/196] eta: 0:00:04 time: 0.0328 data_time: 0.0078 memory: 1684 2023/04/02 17:41:19 - mmengine - INFO - Epoch(val) [1][196/196] qat.accuracy/top1: 68.9800 qat.accuracy/top5: 88.7180data_time: 0.0069 time: 0.0302 2023/04/02 17:41:24 - mmengine - INFO - Epoch(val) [1][100/196] eta: 0:00:03 time: 0.0358 data_time: 0.0076 memory: 513 2023/04/02 17:41:37 - mmengine - INFO - Epoch(val) [1][196/196] qat.accuracy/top1: 68.9580 qat.accuracy/top5: 88.7280data_time: 0.0068 time: 0.0333 2023/04/02 17:41:40 - mmengine - INFO - Epoch(val) [1][100/196] eta: 0:00:02 time: 0.0246 data_time: 0.0140 memory: 470 2023/04/02 17:41:52 - mmengine - INFO - Epoch(val) [1][196/196] original.accuracy/top1: 68.8900 original.accuracy/top5: 88.8080data_time: 0.0316 time: 0.0414 2023/04/02 17:42:01 - mmengine - INFO - Epoch(train) [2][ 100/5005] lr: 9.9975e-05 eta: 10:50:11 time: 0.0799 data_time: 0.0170 memory: 1735 loss: 1.2888 2023/04/02 17:42:09 - mmengine - INFO - Epoch(train) [2][ 200/5005] lr: 9.9975e-05 eta: 10:50:27 time: 0.0782 data_time: 0.0173 memory: 1735 loss: 1.1247 2023/04/02 17:42:17 - mmengine - INFO - Epoch(train) [2][ 300/5005] lr: 9.9975e-05 eta: 10:51:20 time: 0.0874 data_time: 0.0166 memory: 1735 loss: 1.3440 2023/04/02 17:42:25 - mmengine - INFO - Epoch(train) [2][ 400/5005] lr: 9.9975e-05 eta: 10:50:57 time: 0.0781 data_time: 0.0170 memory: 1735 loss: 1.2920 2023/04/02 17:42:33 - mmengine - INFO - Epoch(train) [2][ 500/5005] lr: 9.9975e-05 eta: 10:50:35 time: 0.0749 data_time: 0.0171 memory: 1735 loss: 1.4131 2023/04/02 17:42:40 - mmengine - INFO - Epoch(train) [2][ 600/5005] lr: 9.9975e-05 eta: 10:49:47 time: 0.0726 data_time: 0.0167 memory: 1735 loss: 1.2285 2023/04/02 17:42:48 - mmengine - INFO - Epoch(train) [2][ 700/5005] lr: 9.9975e-05 eta: 10:49:21 time: 0.0854 data_time: 0.0174 memory: 1735 loss: 1.3845 2023/04/02 17:42:56 - mmengine - INFO - Epoch(train) [2][ 800/5005] lr: 9.9975e-05 eta: 10:49:01 time: 0.0746 data_time: 0.0169 memory: 1735 loss: 1.2421 2023/04/02 17:43:03 - mmengine - INFO - Epoch(train) [2][ 900/5005] lr: 9.9975e-05 eta: 10:48:40 time: 0.0752 data_time: 0.0170 memory: 1684 loss: 1.3763 2023/04/02 17:43:11 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 17:43:11 - mmengine - INFO - Epoch(train) [2][1000/5005] lr: 9.9975e-05 eta: 10:48:39 time: 0.0777 data_time: 0.0169 memory: 1684 loss: 1.1483 2023/04/02 17:43:19 - mmengine - INFO - Epoch(train) [2][1100/5005] lr: 9.9975e-05 eta: 10:48:27 time: 0.0742 data_time: 0.0167 memory: 1684 loss: 1.1910 2023/04/02 17:43:27 - mmengine - INFO - Epoch(train) [2][1200/5005] lr: 9.9975e-05 eta: 10:47:52 time: 0.0758 data_time: 0.0169 memory: 1684 loss: 1.3890 2023/04/02 17:43:34 - mmengine - INFO - Epoch(train) [2][1300/5005] lr: 9.9975e-05 eta: 10:47:35 time: 0.0896 data_time: 0.0170 memory: 1684 loss: 1.2806 2023/04/02 17:43:43 - mmengine - INFO - Epoch(train) [2][1400/5005] lr: 9.9975e-05 eta: 10:47:56 time: 0.0732 data_time: 0.0171 memory: 1684 loss: 1.3927 2023/04/02 17:43:50 - mmengine - INFO - Epoch(train) [2][1500/5005] lr: 9.9975e-05 eta: 10:47:30 time: 0.0746 data_time: 0.0171 memory: 1684 loss: 1.0914 2023/04/02 17:43:58 - mmengine - INFO - Epoch(train) [2][1600/5005] lr: 9.9975e-05 eta: 10:47:23 time: 0.0773 data_time: 0.0169 memory: 1684 loss: 1.2716 2023/04/02 17:44:06 - mmengine - INFO - Epoch(train) [2][1700/5005] lr: 9.9975e-05 eta: 10:47:01 time: 0.0760 data_time: 0.0165 memory: 1684 loss: 1.2301 2023/04/02 17:44:13 - mmengine - INFO - Epoch(train) [2][1800/5005] lr: 9.9975e-05 eta: 10:46:34 time: 0.0757 data_time: 0.0167 memory: 1684 loss: 1.2702 2023/04/02 17:44:21 - mmengine - INFO - Epoch(train) [2][1900/5005] lr: 9.9975e-05 eta: 10:46:36 time: 0.0755 data_time: 0.0160 memory: 1684 loss: 1.2780 2023/04/02 17:44:29 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 17:44:29 - mmengine - INFO - Epoch(train) [2][2000/5005] lr: 9.9975e-05 eta: 10:46:36 time: 0.0765 data_time: 0.0166 memory: 1684 loss: 1.1758 2023/04/02 17:44:37 - mmengine - INFO - Epoch(train) [2][2100/5005] lr: 9.9975e-05 eta: 10:46:04 time: 0.0773 data_time: 0.0165 memory: 1684 loss: 1.4074 2023/04/02 17:44:45 - mmengine - INFO - Epoch(train) [2][2200/5005] lr: 9.9975e-05 eta: 10:45:49 time: 0.0753 data_time: 0.0158 memory: 1684 loss: 1.3048 2023/04/02 17:44:52 - mmengine - INFO - Epoch(train) [2][2300/5005] lr: 9.9975e-05 eta: 10:45:28 time: 0.0757 data_time: 0.0165 memory: 1684 loss: 1.3830 2023/04/02 17:45:00 - mmengine - INFO - Epoch(train) [2][2400/5005] lr: 9.9975e-05 eta: 10:45:10 time: 0.0773 data_time: 0.0166 memory: 1684 loss: 1.2079 2023/04/02 17:45:08 - mmengine - INFO - Epoch(train) [2][2500/5005] lr: 9.9975e-05 eta: 10:45:35 time: 0.0766 data_time: 0.0165 memory: 1684 loss: 1.1805 2023/04/02 17:45:16 - mmengine - INFO - Epoch(train) [2][2600/5005] lr: 9.9975e-05 eta: 10:45:25 time: 0.0732 data_time: 0.0169 memory: 1684 loss: 1.4343 2023/04/02 17:45:24 - mmengine - INFO - Epoch(train) [2][2700/5005] lr: 9.9975e-05 eta: 10:45:05 time: 0.0852 data_time: 0.0166 memory: 1684 loss: 1.2941 2023/04/02 17:45:31 - mmengine - INFO - Epoch(train) [2][2800/5005] lr: 9.9975e-05 eta: 10:44:37 time: 0.0758 data_time: 0.0166 memory: 1684 loss: 1.3029 2023/04/02 17:45:39 - mmengine - INFO - Epoch(train) [2][2900/5005] lr: 9.9975e-05 eta: 10:44:28 time: 0.0806 data_time: 0.0197 memory: 1684 loss: 1.2023 2023/04/02 17:45:47 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 17:45:47 - mmengine - INFO - Epoch(train) [2][3000/5005] lr: 9.9975e-05 eta: 10:44:32 time: 0.0762 data_time: 0.0165 memory: 1684 loss: 1.2532 2023/04/02 17:45:56 - mmengine - INFO - Epoch(train) [2][3100/5005] lr: 9.9975e-05 eta: 10:44:44 time: 0.0735 data_time: 0.0166 memory: 1684 loss: 1.2893 2023/04/02 17:46:03 - mmengine - INFO - Epoch(train) [2][3200/5005] lr: 9.9975e-05 eta: 10:44:30 time: 0.0853 data_time: 0.0166 memory: 1684 loss: 1.4182 2023/04/02 17:46:11 - mmengine - INFO - Epoch(train) [2][3300/5005] lr: 9.9975e-05 eta: 10:43:59 time: 0.0733 data_time: 0.0168 memory: 1684 loss: 1.3862 2023/04/02 17:46:18 - mmengine - INFO - Epoch(train) [2][3400/5005] lr: 9.9975e-05 eta: 10:43:34 time: 0.0737 data_time: 0.0174 memory: 1684 loss: 1.5089 2023/04/02 17:46:26 - mmengine - INFO - Epoch(train) [2][3500/5005] lr: 9.9975e-05 eta: 10:43:23 time: 0.0768 data_time: 0.0165 memory: 1684 loss: 1.3276 2023/04/02 17:46:34 - mmengine - INFO - Epoch(train) [2][3600/5005] lr: 9.9975e-05 eta: 10:43:41 time: 0.1004 data_time: 0.0167 memory: 1684 loss: 1.4626 2023/04/02 17:46:43 - mmengine - INFO - Epoch(train) [2][3700/5005] lr: 9.9975e-05 eta: 10:43:52 time: 0.0782 data_time: 0.0170 memory: 1684 loss: 1.2801 2023/04/02 17:46:50 - mmengine - INFO - Epoch(train) [2][3800/5005] lr: 9.9975e-05 eta: 10:43:36 time: 0.0744 data_time: 0.0158 memory: 1684 loss: 1.1079 2023/04/02 17:46:58 - mmengine - INFO - Epoch(train) [2][3900/5005] lr: 9.9975e-05 eta: 10:43:12 time: 0.0811 data_time: 0.0161 memory: 1684 loss: 1.2475 2023/04/02 17:47:05 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 17:47:06 - mmengine - INFO - Epoch(train) [2][4000/5005] lr: 9.9975e-05 eta: 10:42:53 time: 0.0821 data_time: 0.0170 memory: 1684 loss: 1.3422 2023/04/02 17:47:13 - mmengine - INFO - Epoch(train) [2][4100/5005] lr: 9.9975e-05 eta: 10:42:28 time: 0.0731 data_time: 0.0168 memory: 1684 loss: 1.3770 2023/04/02 17:47:21 - mmengine - INFO - Epoch(train) [2][4200/5005] lr: 9.9975e-05 eta: 10:42:18 time: 0.0813 data_time: 0.0165 memory: 1684 loss: 1.2498 2023/04/02 17:47:28 - mmengine - INFO - Epoch(train) [2][4300/5005] lr: 9.9975e-05 eta: 10:41:58 time: 0.0730 data_time: 0.0166 memory: 1684 loss: 1.2575 2023/04/02 17:47:36 - mmengine - INFO - Epoch(train) [2][4400/5005] lr: 9.9975e-05 eta: 10:41:27 time: 0.0746 data_time: 0.0168 memory: 1684 loss: 1.1033 2023/04/02 17:47:44 - mmengine - INFO - Epoch(train) [2][4500/5005] lr: 9.9975e-05 eta: 10:41:13 time: 0.0743 data_time: 0.0168 memory: 1684 loss: 1.4177 2023/04/02 17:47:51 - mmengine - INFO - Epoch(train) [2][4600/5005] lr: 9.9975e-05 eta: 10:40:57 time: 0.0761 data_time: 0.0167 memory: 1684 loss: 1.1375 2023/04/02 17:47:59 - mmengine - INFO - Epoch(train) [2][4700/5005] lr: 9.9975e-05 eta: 10:41:03 time: 0.0847 data_time: 0.0269 memory: 1684 loss: 1.2684 2023/04/02 17:48:07 - mmengine - INFO - Epoch(train) [2][4800/5005] lr: 9.9975e-05 eta: 10:40:59 time: 0.0869 data_time: 0.0168 memory: 1684 loss: 1.2479 2023/04/02 17:48:15 - mmengine - INFO - Epoch(train) [2][4900/5005] lr: 9.9975e-05 eta: 10:40:46 time: 0.0744 data_time: 0.0168 memory: 1684 loss: 1.1810 2023/04/02 17:48:22 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 17:48:23 - mmengine - INFO - Epoch(train) [2][5000/5005] lr: 9.9975e-05 eta: 10:40:26 time: 0.0729 data_time: 0.0169 memory: 1684 loss: 1.1810 2023/04/02 17:48:23 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 17:48:23 - mmengine - INFO - Saving checkpoint at 2 epochs 2023/04/02 17:48:29 - mmengine - INFO - Epoch(val) [2][100/196] eta: 0:00:04 time: 0.0326 data_time: 0.0077 memory: 1684 2023/04/02 17:48:41 - mmengine - INFO - Epoch(val) [2][196/196] qat.accuracy/top1: 69.0920 qat.accuracy/top5: 88.7620data_time: 0.0089 time: 0.0323 2023/04/02 17:48:45 - mmengine - INFO - Epoch(val) [2][100/196] eta: 0:00:03 time: 0.0359 data_time: 0.0080 memory: 513 2023/04/02 17:48:59 - mmengine - INFO - Epoch(val) [2][196/196] qat.accuracy/top1: 69.0600 qat.accuracy/top5: 88.7440data_time: 0.0067 time: 0.0331 2023/04/02 17:49:02 - mmengine - INFO - Epoch(val) [2][100/196] eta: 0:00:02 time: 0.0277 data_time: 0.0169 memory: 470 2023/04/02 17:49:14 - mmengine - INFO - Epoch(val) [2][196/196] original.accuracy/top1: 69.2080 original.accuracy/top5: 88.8740data_time: 0.0320 time: 0.0421 2023/04/02 17:49:23 - mmengine - INFO - Epoch(train) [3][ 100/5005] lr: 9.9901e-05 eta: 10:41:06 time: 0.0790 data_time: 0.0171 memory: 1735 loss: 1.1167 2023/04/02 17:49:30 - mmengine - INFO - Epoch(train) [3][ 200/5005] lr: 9.9901e-05 eta: 10:40:51 time: 0.0771 data_time: 0.0172 memory: 1735 loss: 1.5255 2023/04/02 17:49:38 - mmengine - INFO - Epoch(train) [3][ 300/5005] lr: 9.9901e-05 eta: 10:40:44 time: 0.0781 data_time: 0.0174 memory: 1735 loss: 1.1189 2023/04/02 17:49:47 - mmengine - INFO - Epoch(train) [3][ 400/5005] lr: 9.9901e-05 eta: 10:41:07 time: 0.1010 data_time: 0.0171 memory: 1735 loss: 1.3958 2023/04/02 17:49:55 - mmengine - INFO - Epoch(train) [3][ 500/5005] lr: 9.9901e-05 eta: 10:41:00 time: 0.0797 data_time: 0.0169 memory: 1735 loss: 1.1461 2023/04/02 17:50:03 - mmengine - INFO - Epoch(train) [3][ 600/5005] lr: 9.9901e-05 eta: 10:41:11 time: 0.0912 data_time: 0.0168 memory: 1735 loss: 1.1493 2023/04/02 17:50:11 - mmengine - INFO - Epoch(train) [3][ 700/5005] lr: 9.9901e-05 eta: 10:41:06 time: 0.0767 data_time: 0.0174 memory: 1735 loss: 1.1733 2023/04/02 17:50:19 - mmengine - INFO - Epoch(train) [3][ 800/5005] lr: 9.9901e-05 eta: 10:40:54 time: 0.0736 data_time: 0.0166 memory: 1735 loss: 1.4272 2023/04/02 17:50:27 - mmengine - INFO - Epoch(train) [3][ 900/5005] lr: 9.9901e-05 eta: 10:40:49 time: 0.0742 data_time: 0.0167 memory: 1735 loss: 1.2138 2023/04/02 17:50:33 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 17:50:34 - mmengine - INFO - Epoch(train) [3][1000/5005] lr: 9.9901e-05 eta: 10:40:33 time: 0.0777 data_time: 0.0169 memory: 1684 loss: 1.2246 2023/04/02 17:50:42 - mmengine - INFO - Epoch(train) [3][1100/5005] lr: 9.9901e-05 eta: 10:40:23 time: 0.0771 data_time: 0.0161 memory: 1684 loss: 1.2565 2023/04/02 17:50:50 - mmengine - INFO - Epoch(train) [3][1200/5005] lr: 9.9901e-05 eta: 10:40:19 time: 0.0758 data_time: 0.0166 memory: 1684 loss: 1.4109 2023/04/02 17:50:58 - mmengine - INFO - Epoch(train) [3][1300/5005] lr: 9.9901e-05 eta: 10:40:08 time: 0.0774 data_time: 0.0166 memory: 1684 loss: 1.2181 2023/04/02 17:51:06 - mmengine - INFO - Epoch(train) [3][1400/5005] lr: 9.9901e-05 eta: 10:39:59 time: 0.0862 data_time: 0.0278 memory: 1684 loss: 1.2171 2023/04/02 17:51:13 - mmengine - INFO - Epoch(train) [3][1500/5005] lr: 9.9901e-05 eta: 10:39:48 time: 0.0762 data_time: 0.0170 memory: 1684 loss: 1.2478 2023/04/02 17:51:21 - mmengine - INFO - Epoch(train) [3][1600/5005] lr: 9.9901e-05 eta: 10:39:42 time: 0.0869 data_time: 0.0167 memory: 1684 loss: 1.6149 2023/04/02 17:51:29 - mmengine - INFO - Epoch(train) [3][1700/5005] lr: 9.9901e-05 eta: 10:39:28 time: 0.0759 data_time: 0.0174 memory: 1684 loss: 1.2541 2023/04/02 17:51:37 - mmengine - INFO - Epoch(train) [3][1800/5005] lr: 9.9901e-05 eta: 10:39:24 time: 0.0766 data_time: 0.0168 memory: 1684 loss: 1.3652 2023/04/02 17:51:45 - mmengine - INFO - Epoch(train) [3][1900/5005] lr: 9.9901e-05 eta: 10:39:18 time: 0.0958 data_time: 0.0171 memory: 1684 loss: 1.2973 2023/04/02 17:51:52 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 17:51:53 - mmengine - INFO - Epoch(train) [3][2000/5005] lr: 9.9901e-05 eta: 10:39:15 time: 0.0754 data_time: 0.0169 memory: 1684 loss: 1.3642 2023/04/02 17:52:01 - mmengine - INFO - Epoch(train) [3][2100/5005] lr: 9.9901e-05 eta: 10:39:14 time: 0.0862 data_time: 0.0176 memory: 1684 loss: 1.1993 2023/04/02 17:52:08 - mmengine - INFO - Epoch(train) [3][2200/5005] lr: 9.9901e-05 eta: 10:38:55 time: 0.0856 data_time: 0.0170 memory: 1684 loss: 1.2198 2023/04/02 17:52:16 - mmengine - INFO - Epoch(train) [3][2300/5005] lr: 9.9901e-05 eta: 10:38:46 time: 0.0754 data_time: 0.0170 memory: 1684 loss: 1.3962 2023/04/02 17:52:24 - mmengine - INFO - Epoch(train) [3][2400/5005] lr: 9.9901e-05 eta: 10:38:30 time: 0.0750 data_time: 0.0183 memory: 1684 loss: 1.3709 2023/04/02 17:52:32 - mmengine - INFO - Epoch(train) [3][2500/5005] lr: 9.9901e-05 eta: 10:38:14 time: 0.0851 data_time: 0.0282 memory: 1684 loss: 1.1014 2023/04/02 17:52:39 - mmengine - INFO - Epoch(train) [3][2600/5005] lr: 9.9901e-05 eta: 10:38:02 time: 0.0755 data_time: 0.0171 memory: 1684 loss: 1.3628 2023/04/02 17:52:47 - mmengine - INFO - Epoch(train) [3][2700/5005] lr: 9.9901e-05 eta: 10:37:52 time: 0.0743 data_time: 0.0171 memory: 1684 loss: 1.2718 2023/04/02 17:52:55 - mmengine - INFO - Epoch(train) [3][2800/5005] lr: 9.9901e-05 eta: 10:37:37 time: 0.0769 data_time: 0.0171 memory: 1684 loss: 1.2874 2023/04/02 17:53:03 - mmengine - INFO - Epoch(train) [3][2900/5005] lr: 9.9901e-05 eta: 10:37:33 time: 0.0761 data_time: 0.0170 memory: 1684 loss: 1.2751 2023/04/02 17:53:10 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 17:53:11 - mmengine - INFO - Epoch(train) [3][3000/5005] lr: 9.9901e-05 eta: 10:37:34 time: 0.0779 data_time: 0.0180 memory: 1684 loss: 1.1124 2023/04/02 17:53:19 - mmengine - INFO - Epoch(train) [3][3100/5005] lr: 9.9901e-05 eta: 10:37:34 time: 0.0910 data_time: 0.0169 memory: 1684 loss: 1.4049 2023/04/02 17:53:27 - mmengine - INFO - Epoch(train) [3][3200/5005] lr: 9.9901e-05 eta: 10:37:28 time: 0.0750 data_time: 0.0167 memory: 1684 loss: 1.5303 2023/04/02 17:53:35 - mmengine - INFO - Epoch(train) [3][3300/5005] lr: 9.9901e-05 eta: 10:37:20 time: 0.0760 data_time: 0.0169 memory: 1684 loss: 1.2159 2023/04/02 17:53:42 - mmengine - INFO - Epoch(train) [3][3400/5005] lr: 9.9901e-05 eta: 10:37:08 time: 0.0836 data_time: 0.0170 memory: 1684 loss: 1.1992 2023/04/02 17:53:50 - mmengine - INFO - Epoch(train) [3][3500/5005] lr: 9.9901e-05 eta: 10:36:59 time: 0.0763 data_time: 0.0175 memory: 1684 loss: 1.3533 2023/04/02 17:53:58 - mmengine - INFO - Epoch(train) [3][3600/5005] lr: 9.9901e-05 eta: 10:36:45 time: 0.0726 data_time: 0.0174 memory: 1684 loss: 1.3140 2023/04/02 17:54:06 - mmengine - INFO - Epoch(train) [3][3700/5005] lr: 9.9901e-05 eta: 10:36:42 time: 0.0760 data_time: 0.0169 memory: 1684 loss: 1.3993 2023/04/02 17:54:14 - mmengine - INFO - Epoch(train) [3][3800/5005] lr: 9.9901e-05 eta: 10:36:36 time: 0.0738 data_time: 0.0172 memory: 1684 loss: 1.1968 2023/04/02 17:54:21 - mmengine - INFO - Epoch(train) [3][3900/5005] lr: 9.9901e-05 eta: 10:36:21 time: 0.0768 data_time: 0.0169 memory: 1684 loss: 1.4441 2023/04/02 17:54:28 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 17:54:29 - mmengine - INFO - Epoch(train) [3][4000/5005] lr: 9.9901e-05 eta: 10:36:02 time: 0.0727 data_time: 0.0169 memory: 1684 loss: 1.2699 2023/04/02 17:54:37 - mmengine - INFO - Epoch(train) [3][4100/5005] lr: 9.9901e-05 eta: 10:35:53 time: 0.0819 data_time: 0.0175 memory: 1684 loss: 1.1112 2023/04/02 17:54:44 - mmengine - INFO - Epoch(train) [3][4200/5005] lr: 9.9901e-05 eta: 10:35:39 time: 0.0786 data_time: 0.0175 memory: 1684 loss: 1.2673 2023/04/02 17:54:53 - mmengine - INFO - Epoch(train) [3][4300/5005] lr: 9.9901e-05 eta: 10:35:58 time: 0.0741 data_time: 0.0171 memory: 1684 loss: 1.1850 2023/04/02 17:55:01 - mmengine - INFO - Epoch(train) [3][4400/5005] lr: 9.9901e-05 eta: 10:35:57 time: 0.0774 data_time: 0.0170 memory: 1684 loss: 1.2206 2023/04/02 17:55:09 - mmengine - INFO - Epoch(train) [3][4500/5005] lr: 9.9901e-05 eta: 10:35:47 time: 0.0880 data_time: 0.0172 memory: 1684 loss: 1.2935 2023/04/02 17:55:17 - mmengine - INFO - Epoch(train) [3][4600/5005] lr: 9.9901e-05 eta: 10:35:44 time: 0.0759 data_time: 0.0172 memory: 1684 loss: 1.2346 2023/04/02 17:55:25 - mmengine - INFO - Epoch(train) [3][4700/5005] lr: 9.9901e-05 eta: 10:35:34 time: 0.0755 data_time: 0.0173 memory: 1684 loss: 1.1161 2023/04/02 17:55:33 - mmengine - INFO - Epoch(train) [3][4800/5005] lr: 9.9901e-05 eta: 10:35:38 time: 0.0876 data_time: 0.0172 memory: 1684 loss: 1.1768 2023/04/02 17:55:41 - mmengine - INFO - Epoch(train) [3][4900/5005] lr: 9.9901e-05 eta: 10:35:30 time: 0.0935 data_time: 0.0182 memory: 1684 loss: 1.2309 2023/04/02 17:55:48 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 17:55:48 - mmengine - INFO - Epoch(train) [3][5000/5005] lr: 9.9901e-05 eta: 10:35:12 time: 0.0763 data_time: 0.0199 memory: 1684 loss: 1.4103 2023/04/02 17:55:49 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 17:55:49 - mmengine - INFO - Saving checkpoint at 3 epochs 2023/04/02 17:55:54 - mmengine - INFO - Epoch(val) [3][100/196] eta: 0:00:03 time: 0.0344 data_time: 0.0083 memory: 1684 2023/04/02 17:56:07 - mmengine - INFO - Epoch(val) [3][196/196] qat.accuracy/top1: 69.1740 qat.accuracy/top5: 88.8320data_time: 0.0067 time: 0.0309 2023/04/02 17:56:11 - mmengine - INFO - Epoch(val) [3][100/196] eta: 0:00:03 time: 0.0351 data_time: 0.0076 memory: 513 2023/04/02 17:56:24 - mmengine - INFO - Epoch(val) [3][196/196] qat.accuracy/top1: 69.1700 qat.accuracy/top5: 88.7840data_time: 0.0068 time: 0.0330 2023/04/02 17:56:28 - mmengine - INFO - Epoch(val) [3][100/196] eta: 0:00:02 time: 0.0268 data_time: 0.0140 memory: 470 2023/04/02 17:56:40 - mmengine - INFO - Epoch(val) [3][196/196] original.accuracy/top1: 69.0960 original.accuracy/top5: 88.8120data_time: 0.0322 time: 0.0419 2023/04/02 17:56:49 - mmengine - INFO - Epoch(train) [4][ 100/5005] lr: 9.9778e-05 eta: 10:35:56 time: 0.0811 data_time: 0.0174 memory: 1735 loss: 1.4584 2023/04/02 17:56:57 - mmengine - INFO - Epoch(train) [4][ 200/5005] lr: 9.9778e-05 eta: 10:35:40 time: 0.0736 data_time: 0.0177 memory: 1735 loss: 1.2135 2023/04/02 17:57:04 - mmengine - INFO - Epoch(train) [4][ 300/5005] lr: 9.9778e-05 eta: 10:35:20 time: 0.0744 data_time: 0.0179 memory: 1735 loss: 1.4884 2023/04/02 17:57:12 - mmengine - INFO - Epoch(train) [4][ 400/5005] lr: 9.9778e-05 eta: 10:35:13 time: 0.0756 data_time: 0.0175 memory: 1735 loss: 1.0828 2023/04/02 17:57:21 - mmengine - INFO - Epoch(train) [4][ 500/5005] lr: 9.9778e-05 eta: 10:35:26 time: 0.0956 data_time: 0.0169 memory: 1735 loss: 1.2209 2023/04/02 17:57:29 - mmengine - INFO - Epoch(train) [4][ 600/5005] lr: 9.9778e-05 eta: 10:35:27 time: 0.0762 data_time: 0.0167 memory: 1735 loss: 1.3247 2023/04/02 17:57:37 - mmengine - INFO - Epoch(train) [4][ 700/5005] lr: 9.9778e-05 eta: 10:35:23 time: 0.0778 data_time: 0.0173 memory: 1735 loss: 1.2001 2023/04/02 17:57:45 - mmengine - INFO - Epoch(train) [4][ 800/5005] lr: 9.9778e-05 eta: 10:35:11 time: 0.0751 data_time: 0.0173 memory: 1735 loss: 1.4291 2023/04/02 17:57:53 - mmengine - INFO - Epoch(train) [4][ 900/5005] lr: 9.9778e-05 eta: 10:35:14 time: 0.0781 data_time: 0.0173 memory: 1735 loss: 1.3947 2023/04/02 17:58:00 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 17:58:01 - mmengine - INFO - Epoch(train) [4][1000/5005] lr: 9.9778e-05 eta: 10:35:22 time: 0.0870 data_time: 0.0169 memory: 1684 loss: 1.2288 2023/04/02 17:58:09 - mmengine - INFO - Epoch(train) [4][1100/5005] lr: 9.9778e-05 eta: 10:35:18 time: 0.0767 data_time: 0.0185 memory: 1684 loss: 1.1196 2023/04/02 17:58:17 - mmengine - INFO - Epoch(train) [4][1200/5005] lr: 9.9778e-05 eta: 10:35:04 time: 0.0737 data_time: 0.0169 memory: 1684 loss: 1.1944 2023/04/02 17:58:25 - mmengine - INFO - Epoch(train) [4][1300/5005] lr: 9.9778e-05 eta: 10:34:52 time: 0.0768 data_time: 0.0169 memory: 1684 loss: 1.5202 2023/04/02 17:58:32 - mmengine - INFO - Epoch(train) [4][1400/5005] lr: 9.9778e-05 eta: 10:34:32 time: 0.0740 data_time: 0.0166 memory: 1684 loss: 1.3337 2023/04/02 17:58:40 - mmengine - INFO - Epoch(train) [4][1500/5005] lr: 9.9778e-05 eta: 10:34:28 time: 0.0755 data_time: 0.0170 memory: 1684 loss: 1.3652 2023/04/02 17:58:48 - mmengine - INFO - Epoch(train) [4][1600/5005] lr: 9.9778e-05 eta: 10:34:22 time: 0.0928 data_time: 0.0172 memory: 1684 loss: 1.2605 2023/04/02 17:58:56 - mmengine - INFO - Epoch(train) [4][1700/5005] lr: 9.9778e-05 eta: 10:34:21 time: 0.0763 data_time: 0.0177 memory: 1684 loss: 1.3279 2023/04/02 17:59:04 - mmengine - INFO - Epoch(train) [4][1800/5005] lr: 9.9778e-05 eta: 10:34:12 time: 0.0760 data_time: 0.0172 memory: 1684 loss: 1.3963 2023/04/02 17:59:12 - mmengine - INFO - Epoch(train) [4][1900/5005] lr: 9.9778e-05 eta: 10:34:04 time: 0.0761 data_time: 0.0176 memory: 1684 loss: 1.3321 2023/04/02 17:59:19 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 17:59:20 - mmengine - INFO - Epoch(train) [4][2000/5005] lr: 9.9778e-05 eta: 10:33:52 time: 0.0755 data_time: 0.0171 memory: 1684 loss: 1.2542 2023/04/02 17:59:27 - mmengine - INFO - Epoch(train) [4][2100/5005] lr: 9.9778e-05 eta: 10:33:33 time: 0.0736 data_time: 0.0170 memory: 1684 loss: 1.2362 2023/04/02 17:59:35 - mmengine - INFO - Epoch(train) [4][2200/5005] lr: 9.9778e-05 eta: 10:33:29 time: 0.0764 data_time: 0.0177 memory: 1684 loss: 1.3475 2023/04/02 17:59:44 - mmengine - INFO - Epoch(train) [4][2300/5005] lr: 9.9778e-05 eta: 10:33:33 time: 0.0774 data_time: 0.0184 memory: 1684 loss: 1.3115 2023/04/02 17:59:51 - mmengine - INFO - Epoch(train) [4][2400/5005] lr: 9.9778e-05 eta: 10:33:13 time: 0.0748 data_time: 0.0169 memory: 1684 loss: 1.3045 2023/04/02 17:59:59 - mmengine - INFO - Epoch(train) [4][2500/5005] lr: 9.9778e-05 eta: 10:33:08 time: 0.0788 data_time: 0.0170 memory: 1684 loss: 1.3217 2023/04/02 18:00:07 - mmengine - INFO - Epoch(train) [4][2600/5005] lr: 9.9778e-05 eta: 10:32:59 time: 0.0902 data_time: 0.0179 memory: 1684 loss: 1.1735 2023/04/02 18:00:15 - mmengine - INFO - Epoch(train) [4][2700/5005] lr: 9.9778e-05 eta: 10:33:07 time: 0.0808 data_time: 0.0185 memory: 1684 loss: 1.2351 2023/04/02 18:00:23 - mmengine - INFO - Epoch(train) [4][2800/5005] lr: 9.9778e-05 eta: 10:33:03 time: 0.0770 data_time: 0.0177 memory: 1684 loss: 1.3299 2023/04/02 18:00:31 - mmengine - INFO - Epoch(train) [4][2900/5005] lr: 9.9778e-05 eta: 10:32:53 time: 0.0743 data_time: 0.0176 memory: 1684 loss: 1.4895 2023/04/02 18:00:38 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:00:39 - mmengine - INFO - Epoch(train) [4][3000/5005] lr: 9.9778e-05 eta: 10:32:47 time: 0.0760 data_time: 0.0171 memory: 1684 loss: 1.2655 2023/04/02 18:00:47 - mmengine - INFO - Epoch(train) [4][3100/5005] lr: 9.9778e-05 eta: 10:32:36 time: 0.0746 data_time: 0.0176 memory: 1684 loss: 1.3279 2023/04/02 18:00:55 - mmengine - INFO - Epoch(train) [4][3200/5005] lr: 9.9778e-05 eta: 10:32:29 time: 0.0769 data_time: 0.0177 memory: 1684 loss: 1.2481 2023/04/02 18:01:03 - mmengine - INFO - Epoch(train) [4][3300/5005] lr: 9.9778e-05 eta: 10:32:34 time: 0.0845 data_time: 0.0172 memory: 1684 loss: 1.2967 2023/04/02 18:01:11 - mmengine - INFO - Epoch(train) [4][3400/5005] lr: 9.9778e-05 eta: 10:32:32 time: 0.0765 data_time: 0.0175 memory: 1684 loss: 1.2837 2023/04/02 18:01:20 - mmengine - INFO - Epoch(train) [4][3500/5005] lr: 9.9778e-05 eta: 10:32:42 time: 0.0852 data_time: 0.0206 memory: 1684 loss: 1.3313 2023/04/02 18:01:28 - mmengine - INFO - Epoch(train) [4][3600/5005] lr: 9.9778e-05 eta: 10:32:35 time: 0.0798 data_time: 0.0194 memory: 1684 loss: 1.2375 2023/04/02 18:01:36 - mmengine - INFO - Epoch(train) [4][3700/5005] lr: 9.9778e-05 eta: 10:32:35 time: 0.0753 data_time: 0.0170 memory: 1684 loss: 1.2738 2023/04/02 18:01:44 - mmengine - INFO - Epoch(train) [4][3800/5005] lr: 9.9778e-05 eta: 10:32:38 time: 0.0775 data_time: 0.0193 memory: 1684 loss: 1.3287 2023/04/02 18:01:53 - mmengine - INFO - Epoch(train) [4][3900/5005] lr: 9.9778e-05 eta: 10:32:55 time: 0.0946 data_time: 0.0174 memory: 1684 loss: 1.4005 2023/04/02 18:01:59 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:02:01 - mmengine - INFO - Epoch(train) [4][4000/5005] lr: 9.9778e-05 eta: 10:32:45 time: 0.0977 data_time: 0.0173 memory: 1684 loss: 1.1935 2023/04/02 18:02:09 - mmengine - INFO - Epoch(train) [4][4100/5005] lr: 9.9778e-05 eta: 10:32:39 time: 0.0754 data_time: 0.0174 memory: 1684 loss: 1.2406 2023/04/02 18:02:17 - mmengine - INFO - Epoch(train) [4][4200/5005] lr: 9.9778e-05 eta: 10:32:29 time: 0.0754 data_time: 0.0175 memory: 1684 loss: 1.2453 2023/04/02 18:02:24 - mmengine - INFO - Epoch(train) [4][4300/5005] lr: 9.9778e-05 eta: 10:32:19 time: 0.0753 data_time: 0.0169 memory: 1684 loss: 1.2375 2023/04/02 18:02:32 - mmengine - INFO - Epoch(train) [4][4400/5005] lr: 9.9778e-05 eta: 10:32:13 time: 0.0767 data_time: 0.0169 memory: 1684 loss: 1.1653 2023/04/02 18:02:41 - mmengine - INFO - Epoch(train) [4][4500/5005] lr: 9.9778e-05 eta: 10:32:15 time: 0.0922 data_time: 0.0197 memory: 1684 loss: 1.2656 2023/04/02 18:02:48 - mmengine - INFO - Epoch(train) [4][4600/5005] lr: 9.9778e-05 eta: 10:32:03 time: 0.0760 data_time: 0.0180 memory: 1684 loss: 1.4406 2023/04/02 18:02:56 - mmengine - INFO - Epoch(train) [4][4700/5005] lr: 9.9778e-05 eta: 10:31:54 time: 0.0787 data_time: 0.0170 memory: 1684 loss: 1.2647 2023/04/02 18:03:04 - mmengine - INFO - Epoch(train) [4][4800/5005] lr: 9.9778e-05 eta: 10:31:56 time: 0.0861 data_time: 0.0188 memory: 1684 loss: 1.3544 2023/04/02 18:03:12 - mmengine - INFO - Epoch(train) [4][4900/5005] lr: 9.9778e-05 eta: 10:31:51 time: 0.0743 data_time: 0.0185 memory: 1684 loss: 1.2174 2023/04/02 18:03:19 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:03:20 - mmengine - INFO - Epoch(train) [4][5000/5005] lr: 9.9778e-05 eta: 10:31:39 time: 0.0740 data_time: 0.0187 memory: 1684 loss: 1.3126 2023/04/02 18:03:21 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:03:21 - mmengine - INFO - Saving checkpoint at 4 epochs 2023/04/02 18:03:27 - mmengine - INFO - Epoch(val) [4][100/196] eta: 0:00:04 time: 0.0325 data_time: 0.0077 memory: 1684 2023/04/02 18:03:39 - mmengine - INFO - Epoch(val) [4][196/196] qat.accuracy/top1: 69.1740 qat.accuracy/top5: 88.9600data_time: 0.0083 time: 0.0317 2023/04/02 18:03:44 - mmengine - INFO - Epoch(val) [4][100/196] eta: 0:00:03 time: 0.0350 data_time: 0.0078 memory: 513 2023/04/02 18:03:57 - mmengine - INFO - Epoch(val) [4][196/196] qat.accuracy/top1: 69.1940 qat.accuracy/top5: 88.9680data_time: 0.0070 time: 0.0336 2023/04/02 18:04:00 - mmengine - INFO - Epoch(val) [4][100/196] eta: 0:00:02 time: 0.0240 data_time: 0.0134 memory: 470 2023/04/02 18:04:13 - mmengine - INFO - Epoch(val) [4][196/196] original.accuracy/top1: 69.4220 original.accuracy/top5: 88.8820data_time: 0.0333 time: 0.0432 2023/04/02 18:04:22 - mmengine - INFO - Epoch(train) [5][ 100/5005] lr: 9.9606e-05 eta: 10:32:08 time: 0.0764 data_time: 0.0176 memory: 1735 loss: 1.3449 2023/04/02 18:04:30 - mmengine - INFO - Epoch(train) [5][ 200/5005] lr: 9.9606e-05 eta: 10:32:07 time: 0.0734 data_time: 0.0169 memory: 1735 loss: 1.1115 2023/04/02 18:04:38 - mmengine - INFO - Epoch(train) [5][ 300/5005] lr: 9.9606e-05 eta: 10:31:54 time: 0.0722 data_time: 0.0164 memory: 1735 loss: 1.3827 2023/04/02 18:04:46 - mmengine - INFO - Epoch(train) [5][ 400/5005] lr: 9.9606e-05 eta: 10:31:44 time: 0.0784 data_time: 0.0171 memory: 1735 loss: 1.1328 2023/04/02 18:04:54 - mmengine - INFO - Epoch(train) [5][ 500/5005] lr: 9.9606e-05 eta: 10:31:30 time: 0.0736 data_time: 0.0172 memory: 1735 loss: 1.2777 2023/04/02 18:05:02 - mmengine - INFO - Epoch(train) [5][ 600/5005] lr: 9.9606e-05 eta: 10:31:24 time: 0.0856 data_time: 0.0169 memory: 1735 loss: 1.1575 2023/04/02 18:05:10 - mmengine - INFO - Epoch(train) [5][ 700/5005] lr: 9.9606e-05 eta: 10:31:16 time: 0.0733 data_time: 0.0176 memory: 1735 loss: 1.2308 2023/04/02 18:05:18 - mmengine - INFO - Epoch(train) [5][ 800/5005] lr: 9.9606e-05 eta: 10:31:21 time: 0.0932 data_time: 0.0331 memory: 1735 loss: 1.3713 2023/04/02 18:05:26 - mmengine - INFO - Epoch(train) [5][ 900/5005] lr: 9.9606e-05 eta: 10:31:11 time: 0.0748 data_time: 0.0178 memory: 1684 loss: 1.5472 2023/04/02 18:05:32 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:05:33 - mmengine - INFO - Epoch(train) [5][1000/5005] lr: 9.9606e-05 eta: 10:30:56 time: 0.0756 data_time: 0.0170 memory: 1684 loss: 1.2782 2023/04/02 18:05:41 - mmengine - INFO - Epoch(train) [5][1100/5005] lr: 9.9606e-05 eta: 10:30:46 time: 0.0754 data_time: 0.0171 memory: 1684 loss: 1.2401 2023/04/02 18:05:49 - mmengine - INFO - Epoch(train) [5][1200/5005] lr: 9.9606e-05 eta: 10:30:44 time: 0.0775 data_time: 0.0182 memory: 1684 loss: 1.3483 2023/04/02 18:05:58 - mmengine - INFO - Epoch(train) [5][1300/5005] lr: 9.9606e-05 eta: 10:30:41 time: 0.0888 data_time: 0.0172 memory: 1684 loss: 1.3072 2023/04/02 18:06:05 - mmengine - INFO - Epoch(train) [5][1400/5005] lr: 9.9606e-05 eta: 10:30:34 time: 0.0769 data_time: 0.0162 memory: 1684 loss: 1.2514 2023/04/02 18:06:13 - mmengine - INFO - Epoch(train) [5][1500/5005] lr: 9.9606e-05 eta: 10:30:23 time: 0.0762 data_time: 0.0173 memory: 1684 loss: 1.2592 2023/04/02 18:06:21 - mmengine - INFO - Epoch(train) [5][1600/5005] lr: 9.9606e-05 eta: 10:30:13 time: 0.0789 data_time: 0.0167 memory: 1684 loss: 1.5560 2023/04/02 18:06:29 - mmengine - INFO - Epoch(train) [5][1700/5005] lr: 9.9606e-05 eta: 10:30:07 time: 0.0784 data_time: 0.0176 memory: 1684 loss: 1.3852 2023/04/02 18:06:37 - mmengine - INFO - Epoch(train) [5][1800/5005] lr: 9.9606e-05 eta: 10:30:02 time: 0.0751 data_time: 0.0175 memory: 1684 loss: 1.1530 2023/04/02 18:06:45 - mmengine - INFO - Epoch(train) [5][1900/5005] lr: 9.9606e-05 eta: 10:29:58 time: 0.0760 data_time: 0.0173 memory: 1684 loss: 1.3595 2023/04/02 18:06:51 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:06:53 - mmengine - INFO - Epoch(train) [5][2000/5005] lr: 9.9606e-05 eta: 10:29:51 time: 0.0790 data_time: 0.0193 memory: 1684 loss: 1.4240 2023/04/02 18:07:01 - mmengine - INFO - Epoch(train) [5][2100/5005] lr: 9.9606e-05 eta: 10:29:37 time: 0.0775 data_time: 0.0174 memory: 1684 loss: 1.2298 2023/04/02 18:07:09 - mmengine - INFO - Epoch(train) [5][2200/5005] lr: 9.9606e-05 eta: 10:29:29 time: 0.0770 data_time: 0.0182 memory: 1684 loss: 1.2023 2023/04/02 18:07:17 - mmengine - INFO - Epoch(train) [5][2300/5005] lr: 9.9606e-05 eta: 10:29:24 time: 0.0779 data_time: 0.0176 memory: 1684 loss: 1.1857 2023/04/02 18:07:25 - mmengine - INFO - Epoch(train) [5][2400/5005] lr: 9.9606e-05 eta: 10:29:30 time: 0.0979 data_time: 0.0172 memory: 1684 loss: 1.4467 2023/04/02 18:07:34 - mmengine - INFO - Epoch(train) [5][2500/5005] lr: 9.9606e-05 eta: 10:29:30 time: 0.0801 data_time: 0.0175 memory: 1684 loss: 1.3075 2023/04/02 18:07:41 - mmengine - INFO - Epoch(train) [5][2600/5005] lr: 9.9606e-05 eta: 10:29:20 time: 0.0779 data_time: 0.0179 memory: 1684 loss: 1.2274 2023/04/02 18:07:51 - mmengine - INFO - Epoch(train) [5][2700/5005] lr: 9.9606e-05 eta: 10:29:43 time: 0.1051 data_time: 0.0254 memory: 1684 loss: 1.3773 2023/04/02 18:08:01 - mmengine - INFO - Epoch(train) [5][2800/5005] lr: 9.9606e-05 eta: 10:30:31 time: 0.1111 data_time: 0.0243 memory: 1684 loss: 1.3561 2023/04/02 18:08:13 - mmengine - INFO - Epoch(train) [5][2900/5005] lr: 9.9606e-05 eta: 10:31:33 time: 0.1202 data_time: 0.0245 memory: 1684 loss: 1.2560 2023/04/02 18:08:22 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:08:24 - mmengine - INFO - Epoch(train) [5][3000/5005] lr: 9.9606e-05 eta: 10:32:36 time: 0.1131 data_time: 0.0245 memory: 1684 loss: 1.3017 2023/04/02 18:08:35 - mmengine - INFO - Epoch(train) [5][3100/5005] lr: 9.9606e-05 eta: 10:33:40 time: 0.1209 data_time: 0.0248 memory: 1684 loss: 1.3147 2023/04/02 18:08:46 - mmengine - INFO - Epoch(train) [5][3200/5005] lr: 9.9606e-05 eta: 10:34:33 time: 0.1057 data_time: 0.0271 memory: 1684 loss: 1.2402 2023/04/02 18:08:57 - mmengine - INFO - Epoch(train) [5][3300/5005] lr: 9.9606e-05 eta: 10:35:21 time: 0.0984 data_time: 0.0266 memory: 1684 loss: 1.1671 2023/04/02 18:09:08 - mmengine - INFO - Epoch(train) [5][3400/5005] lr: 9.9606e-05 eta: 10:36:08 time: 0.1055 data_time: 0.0255 memory: 1684 loss: 1.3610 2023/04/02 18:09:19 - mmengine - INFO - Epoch(train) [5][3500/5005] lr: 9.9606e-05 eta: 10:36:58 time: 0.1022 data_time: 0.0217 memory: 1684 loss: 1.2644 2023/04/02 18:09:30 - mmengine - INFO - Epoch(train) [5][3600/5005] lr: 9.9606e-05 eta: 10:37:49 time: 0.1317 data_time: 0.0405 memory: 1684 loss: 1.3145 2023/04/02 18:09:40 - mmengine - INFO - Epoch(train) [5][3700/5005] lr: 9.9606e-05 eta: 10:38:33 time: 0.1104 data_time: 0.0244 memory: 1684 loss: 1.1783 2023/04/02 18:09:51 - mmengine - INFO - Epoch(train) [5][3800/5005] lr: 9.9606e-05 eta: 10:39:16 time: 0.1016 data_time: 0.0250 memory: 1684 loss: 1.2922 2023/04/02 18:10:02 - mmengine - INFO - Epoch(train) [5][3900/5005] lr: 9.9606e-05 eta: 10:40:03 time: 0.1056 data_time: 0.0265 memory: 1684 loss: 1.5035 2023/04/02 18:10:10 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:10:12 - mmengine - INFO - Epoch(train) [5][4000/5005] lr: 9.9606e-05 eta: 10:40:45 time: 0.1054 data_time: 0.0253 memory: 1684 loss: 1.3912 2023/04/02 18:10:23 - mmengine - INFO - Epoch(train) [5][4100/5005] lr: 9.9606e-05 eta: 10:41:32 time: 0.1048 data_time: 0.0265 memory: 1684 loss: 1.3514 2023/04/02 18:10:35 - mmengine - INFO - Epoch(train) [5][4200/5005] lr: 9.9606e-05 eta: 10:42:34 time: 0.1171 data_time: 0.0385 memory: 1684 loss: 1.2932 2023/04/02 18:10:45 - mmengine - INFO - Epoch(train) [5][4300/5005] lr: 9.9606e-05 eta: 10:43:16 time: 0.1030 data_time: 0.0246 memory: 1684 loss: 1.3978 2023/04/02 18:10:56 - mmengine - INFO - Epoch(train) [5][4400/5005] lr: 9.9606e-05 eta: 10:43:52 time: 0.1043 data_time: 0.0253 memory: 1684 loss: 1.3771 2023/04/02 18:11:07 - mmengine - INFO - Epoch(train) [5][4500/5005] lr: 9.9606e-05 eta: 10:44:40 time: 0.1068 data_time: 0.0266 memory: 1684 loss: 1.3971 2023/04/02 18:11:18 - mmengine - INFO - Epoch(train) [5][4600/5005] lr: 9.9606e-05 eta: 10:45:24 time: 0.1032 data_time: 0.0244 memory: 1684 loss: 1.2375 2023/04/02 18:11:29 - mmengine - INFO - Epoch(train) [5][4700/5005] lr: 9.9606e-05 eta: 10:46:16 time: 0.1244 data_time: 0.0266 memory: 1684 loss: 1.1880 2023/04/02 18:11:40 - mmengine - INFO - Epoch(train) [5][4800/5005] lr: 9.9606e-05 eta: 10:47:05 time: 0.1087 data_time: 0.0239 memory: 1684 loss: 1.2119 2023/04/02 18:11:51 - mmengine - INFO - Epoch(train) [5][4900/5005] lr: 9.9606e-05 eta: 10:47:55 time: 0.1148 data_time: 0.0243 memory: 1684 loss: 1.3833 2023/04/02 18:12:00 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:12:02 - mmengine - INFO - Epoch(train) [5][5000/5005] lr: 9.9606e-05 eta: 10:48:41 time: 0.1127 data_time: 0.0261 memory: 1684 loss: 1.3453 2023/04/02 18:12:03 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:12:03 - mmengine - INFO - Saving checkpoint at 5 epochs 2023/04/02 18:12:08 - mmengine - INFO - Epoch(val) [5][100/196] eta: 0:00:03 time: 0.0335 data_time: 0.0080 memory: 1684 2023/04/02 18:12:21 - mmengine - INFO - Epoch(val) [5][196/196] qat.accuracy/top1: 69.3460 qat.accuracy/top5: 88.9500data_time: 0.0076 time: 0.0319 2023/04/02 18:12:26 - mmengine - INFO - Epoch(val) [5][100/196] eta: 0:00:04 time: 0.0364 data_time: 0.0083 memory: 513 2023/04/02 18:12:39 - mmengine - INFO - Epoch(val) [5][196/196] qat.accuracy/top1: 69.2480 qat.accuracy/top5: 88.9240data_time: 0.0069 time: 0.0337 2023/04/02 18:12:42 - mmengine - INFO - Epoch(val) [5][100/196] eta: 0:00:02 time: 0.0176 data_time: 0.0071 memory: 470 2023/04/02 18:12:54 - mmengine - INFO - Epoch(val) [5][196/196] original.accuracy/top1: 69.2120 original.accuracy/top5: 88.8500data_time: 0.0316 time: 0.0418 2023/04/02 18:13:03 - mmengine - INFO - Epoch(train) [6][ 100/5005] lr: 9.9384e-05 eta: 10:48:43 time: 0.0801 data_time: 0.0172 memory: 1735 loss: 1.3376 2023/04/02 18:13:11 - mmengine - INFO - Epoch(train) [6][ 200/5005] lr: 9.9384e-05 eta: 10:48:31 time: 0.0770 data_time: 0.0189 memory: 1735 loss: 1.3417 2023/04/02 18:13:19 - mmengine - INFO - Epoch(train) [6][ 300/5005] lr: 9.9384e-05 eta: 10:48:15 time: 0.0740 data_time: 0.0170 memory: 1684 loss: 1.3429 2023/04/02 18:13:27 - mmengine - INFO - Epoch(train) [6][ 400/5005] lr: 9.9384e-05 eta: 10:48:05 time: 0.0761 data_time: 0.0170 memory: 1684 loss: 1.1566 2023/04/02 18:13:34 - mmengine - INFO - Epoch(train) [6][ 500/5005] lr: 9.9384e-05 eta: 10:47:45 time: 0.0772 data_time: 0.0171 memory: 1684 loss: 1.3561 2023/04/02 18:13:42 - mmengine - INFO - Epoch(train) [6][ 600/5005] lr: 9.9384e-05 eta: 10:47:34 time: 0.0778 data_time: 0.0167 memory: 1684 loss: 1.4654 2023/04/02 18:13:50 - mmengine - INFO - Epoch(train) [6][ 700/5005] lr: 9.9384e-05 eta: 10:47:16 time: 0.0766 data_time: 0.0171 memory: 1684 loss: 1.2873 2023/04/02 18:13:58 - mmengine - INFO - Epoch(train) [6][ 800/5005] lr: 9.9384e-05 eta: 10:47:05 time: 0.0763 data_time: 0.0168 memory: 1684 loss: 1.1562 2023/04/02 18:14:06 - mmengine - INFO - Epoch(train) [6][ 900/5005] lr: 9.9384e-05 eta: 10:46:57 time: 0.0922 data_time: 0.0167 memory: 1684 loss: 1.2816 2023/04/02 18:14:12 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:14:14 - mmengine - INFO - Epoch(train) [6][1000/5005] lr: 9.9384e-05 eta: 10:46:39 time: 0.0738 data_time: 0.0174 memory: 1684 loss: 1.4035 2023/04/02 18:14:21 - mmengine - INFO - Epoch(train) [6][1100/5005] lr: 9.9384e-05 eta: 10:46:18 time: 0.0745 data_time: 0.0169 memory: 1684 loss: 1.3378 2023/04/02 18:14:29 - mmengine - INFO - Epoch(train) [6][1200/5005] lr: 9.9384e-05 eta: 10:46:02 time: 0.0782 data_time: 0.0171 memory: 1684 loss: 1.2339 2023/04/02 18:14:37 - mmengine - INFO - Epoch(train) [6][1300/5005] lr: 9.9384e-05 eta: 10:45:45 time: 0.0744 data_time: 0.0168 memory: 1684 loss: 1.3309 2023/04/02 18:14:44 - mmengine - INFO - Epoch(train) [6][1400/5005] lr: 9.9384e-05 eta: 10:45:27 time: 0.0727 data_time: 0.0169 memory: 1684 loss: 1.1307 2023/04/02 18:14:53 - mmengine - INFO - Epoch(train) [6][1500/5005] lr: 9.9384e-05 eta: 10:45:24 time: 0.1004 data_time: 0.0187 memory: 1684 loss: 1.1707 2023/04/02 18:15:01 - mmengine - INFO - Epoch(train) [6][1600/5005] lr: 9.9384e-05 eta: 10:45:07 time: 0.0771 data_time: 0.0169 memory: 1684 loss: 1.1895 2023/04/02 18:15:08 - mmengine - INFO - Epoch(train) [6][1700/5005] lr: 9.9384e-05 eta: 10:44:51 time: 0.0759 data_time: 0.0169 memory: 1684 loss: 1.4349 2023/04/02 18:15:16 - mmengine - INFO - Epoch(train) [6][1800/5005] lr: 9.9384e-05 eta: 10:44:33 time: 0.0787 data_time: 0.0171 memory: 1684 loss: 1.2476 2023/04/02 18:15:24 - mmengine - INFO - Epoch(train) [6][1900/5005] lr: 9.9384e-05 eta: 10:44:19 time: 0.0751 data_time: 0.0169 memory: 1684 loss: 1.1565 2023/04/02 18:15:30 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:15:32 - mmengine - INFO - Epoch(train) [6][2000/5005] lr: 9.9384e-05 eta: 10:44:08 time: 0.0913 data_time: 0.0170 memory: 1684 loss: 1.2673 2023/04/02 18:15:40 - mmengine - INFO - Epoch(train) [6][2100/5005] lr: 9.9384e-05 eta: 10:43:55 time: 0.0755 data_time: 0.0170 memory: 1684 loss: 1.3637 2023/04/02 18:15:48 - mmengine - INFO - Epoch(train) [6][2200/5005] lr: 9.9384e-05 eta: 10:43:43 time: 0.0774 data_time: 0.0167 memory: 1684 loss: 1.2780 2023/04/02 18:15:56 - mmengine - INFO - Epoch(train) [6][2300/5005] lr: 9.9384e-05 eta: 10:43:33 time: 0.0769 data_time: 0.0168 memory: 1684 loss: 1.2407 2023/04/02 18:16:04 - mmengine - INFO - Epoch(train) [6][2400/5005] lr: 9.9384e-05 eta: 10:43:24 time: 0.0770 data_time: 0.0168 memory: 1684 loss: 1.0701 2023/04/02 18:16:11 - mmengine - INFO - Epoch(train) [6][2500/5005] lr: 9.9384e-05 eta: 10:43:06 time: 0.0755 data_time: 0.0168 memory: 1684 loss: 1.3794 2023/04/02 18:16:20 - mmengine - INFO - Epoch(train) [6][2600/5005] lr: 9.9384e-05 eta: 10:42:57 time: 0.0746 data_time: 0.0169 memory: 1684 loss: 1.3714 2023/04/02 18:16:28 - mmengine - INFO - Epoch(train) [6][2700/5005] lr: 9.9384e-05 eta: 10:42:46 time: 0.0726 data_time: 0.0170 memory: 1684 loss: 1.2577 2023/04/02 18:16:35 - mmengine - INFO - Epoch(train) [6][2800/5005] lr: 9.9384e-05 eta: 10:42:32 time: 0.0748 data_time: 0.0170 memory: 1684 loss: 1.1935 2023/04/02 18:16:43 - mmengine - INFO - Epoch(train) [6][2900/5005] lr: 9.9384e-05 eta: 10:42:19 time: 0.0777 data_time: 0.0170 memory: 1684 loss: 1.1689 2023/04/02 18:16:49 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:16:51 - mmengine - INFO - Epoch(train) [6][3000/5005] lr: 9.9384e-05 eta: 10:42:03 time: 0.0788 data_time: 0.0171 memory: 1684 loss: 1.3141 2023/04/02 18:16:59 - mmengine - INFO - Epoch(train) [6][3100/5005] lr: 9.9384e-05 eta: 10:41:51 time: 0.0901 data_time: 0.0298 memory: 1684 loss: 1.4046 2023/04/02 18:17:07 - mmengine - INFO - Epoch(train) [6][3200/5005] lr: 9.9384e-05 eta: 10:41:43 time: 0.0779 data_time: 0.0170 memory: 1684 loss: 1.3795 2023/04/02 18:17:15 - mmengine - INFO - Epoch(train) [6][3300/5005] lr: 9.9384e-05 eta: 10:41:26 time: 0.0830 data_time: 0.0166 memory: 1684 loss: 1.2444 2023/04/02 18:17:23 - mmengine - INFO - Epoch(train) [6][3400/5005] lr: 9.9384e-05 eta: 10:41:15 time: 0.0960 data_time: 0.0171 memory: 1684 loss: 1.3265 2023/04/02 18:17:30 - mmengine - INFO - Epoch(train) [6][3500/5005] lr: 9.9384e-05 eta: 10:40:59 time: 0.0762 data_time: 0.0168 memory: 1684 loss: 1.3094 2023/04/02 18:17:38 - mmengine - INFO - Epoch(train) [6][3600/5005] lr: 9.9384e-05 eta: 10:40:43 time: 0.0904 data_time: 0.0288 memory: 1684 loss: 1.1453 2023/04/02 18:17:46 - mmengine - INFO - Epoch(train) [6][3700/5005] lr: 9.9384e-05 eta: 10:40:36 time: 0.0745 data_time: 0.0166 memory: 1684 loss: 1.2846 2023/04/02 18:17:54 - mmengine - INFO - Epoch(train) [6][3800/5005] lr: 9.9384e-05 eta: 10:40:22 time: 0.0759 data_time: 0.0170 memory: 1684 loss: 1.3869 2023/04/02 18:18:02 - mmengine - INFO - Epoch(train) [6][3900/5005] lr: 9.9384e-05 eta: 10:40:07 time: 0.0763 data_time: 0.0171 memory: 1684 loss: 1.2804 2023/04/02 18:18:08 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:18:10 - mmengine - INFO - Epoch(train) [6][4000/5005] lr: 9.9384e-05 eta: 10:39:53 time: 0.0747 data_time: 0.0179 memory: 1684 loss: 1.2804 2023/04/02 18:18:17 - mmengine - INFO - Epoch(train) [6][4100/5005] lr: 9.9384e-05 eta: 10:39:40 time: 0.0735 data_time: 0.0170 memory: 1684 loss: 1.3351 2023/04/02 18:18:25 - mmengine - INFO - Epoch(train) [6][4200/5005] lr: 9.9384e-05 eta: 10:39:20 time: 0.0730 data_time: 0.0173 memory: 1684 loss: 1.0678 2023/04/02 18:18:33 - mmengine - INFO - Epoch(train) [6][4300/5005] lr: 9.9384e-05 eta: 10:39:13 time: 0.0912 data_time: 0.0171 memory: 1684 loss: 1.1466 2023/04/02 18:18:41 - mmengine - INFO - Epoch(train) [6][4400/5005] lr: 9.9384e-05 eta: 10:39:03 time: 0.0774 data_time: 0.0169 memory: 1684 loss: 1.2246 2023/04/02 18:18:49 - mmengine - INFO - Epoch(train) [6][4500/5005] lr: 9.9384e-05 eta: 10:38:50 time: 0.0739 data_time: 0.0170 memory: 1684 loss: 1.2978 2023/04/02 18:18:57 - mmengine - INFO - Epoch(train) [6][4600/5005] lr: 9.9384e-05 eta: 10:38:36 time: 0.0757 data_time: 0.0172 memory: 1684 loss: 1.3703 2023/04/02 18:19:04 - mmengine - INFO - Epoch(train) [6][4700/5005] lr: 9.9384e-05 eta: 10:38:21 time: 0.0760 data_time: 0.0171 memory: 1684 loss: 1.3508 2023/04/02 18:19:13 - mmengine - INFO - Epoch(train) [6][4800/5005] lr: 9.9384e-05 eta: 10:38:14 time: 0.0769 data_time: 0.0171 memory: 1684 loss: 1.3389 2023/04/02 18:19:21 - mmengine - INFO - Epoch(train) [6][4900/5005] lr: 9.9384e-05 eta: 10:38:05 time: 0.0768 data_time: 0.0178 memory: 1684 loss: 1.2738 2023/04/02 18:19:26 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:19:28 - mmengine - INFO - Epoch(train) [6][5000/5005] lr: 9.9384e-05 eta: 10:37:49 time: 0.0774 data_time: 0.0178 memory: 1684 loss: 1.1860 2023/04/02 18:19:29 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:19:29 - mmengine - INFO - Saving checkpoint at 6 epochs 2023/04/02 18:19:34 - mmengine - INFO - Epoch(val) [6][100/196] eta: 0:00:03 time: 0.0336 data_time: 0.0086 memory: 1684 2023/04/02 18:19:46 - mmengine - INFO - Epoch(val) [6][196/196] qat.accuracy/top1: 69.3520 qat.accuracy/top5: 88.9740data_time: 0.0076 time: 0.0315 2023/04/02 18:19:51 - mmengine - INFO - Epoch(val) [6][100/196] eta: 0:00:03 time: 0.0360 data_time: 0.0081 memory: 513 2023/04/02 18:20:03 - mmengine - INFO - Epoch(val) [6][196/196] qat.accuracy/top1: 69.2060 qat.accuracy/top5: 88.9180data_time: 0.0069 time: 0.0336 2023/04/02 18:20:07 - mmengine - INFO - Epoch(val) [6][100/196] eta: 0:00:02 time: 0.0240 data_time: 0.0135 memory: 470 2023/04/02 18:20:19 - mmengine - INFO - Epoch(val) [6][196/196] original.accuracy/top1: 69.3040 original.accuracy/top5: 88.8520data_time: 0.0300 time: 0.0398 2023/04/02 18:20:28 - mmengine - INFO - Epoch(train) [7][ 100/5005] lr: 9.9114e-05 eta: 10:37:49 time: 0.0804 data_time: 0.0180 memory: 1735 loss: 1.0957 2023/04/02 18:20:36 - mmengine - INFO - Epoch(train) [7][ 200/5005] lr: 9.9114e-05 eta: 10:37:35 time: 0.0748 data_time: 0.0176 memory: 1735 loss: 1.4261 2023/04/02 18:20:44 - mmengine - INFO - Epoch(train) [7][ 300/5005] lr: 9.9114e-05 eta: 10:37:22 time: 0.0981 data_time: 0.0177 memory: 1735 loss: 1.1930 2023/04/02 18:20:51 - mmengine - INFO - Epoch(train) [7][ 400/5005] lr: 9.9114e-05 eta: 10:37:04 time: 0.0757 data_time: 0.0182 memory: 1735 loss: 1.2189 2023/04/02 18:21:00 - mmengine - INFO - Epoch(train) [7][ 500/5005] lr: 9.9114e-05 eta: 10:37:03 time: 0.0742 data_time: 0.0170 memory: 1735 loss: 1.3349 2023/04/02 18:21:08 - mmengine - INFO - Epoch(train) [7][ 600/5005] lr: 9.9114e-05 eta: 10:36:53 time: 0.0771 data_time: 0.0180 memory: 1735 loss: 1.1917 2023/04/02 18:21:15 - mmengine - INFO - Epoch(train) [7][ 700/5005] lr: 9.9114e-05 eta: 10:36:35 time: 0.0751 data_time: 0.0169 memory: 1735 loss: 1.1859 2023/04/02 18:21:23 - mmengine - INFO - Epoch(train) [7][ 800/5005] lr: 9.9114e-05 eta: 10:36:19 time: 0.0745 data_time: 0.0182 memory: 1735 loss: 1.4376 2023/04/02 18:21:31 - mmengine - INFO - Epoch(train) [7][ 900/5005] lr: 9.9114e-05 eta: 10:36:04 time: 0.0738 data_time: 0.0175 memory: 1735 loss: 1.2653 2023/04/02 18:21:36 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:21:38 - mmengine - INFO - Epoch(train) [7][1000/5005] lr: 9.9114e-05 eta: 10:35:51 time: 0.0758 data_time: 0.0173 memory: 1735 loss: 1.4591 2023/04/02 18:21:47 - mmengine - INFO - Epoch(train) [7][1100/5005] lr: 9.9114e-05 eta: 10:35:45 time: 0.1041 data_time: 0.0452 memory: 1684 loss: 1.1921 2023/04/02 18:21:55 - mmengine - INFO - Epoch(train) [7][1200/5005] lr: 9.9114e-05 eta: 10:35:31 time: 0.0764 data_time: 0.0181 memory: 1684 loss: 1.2130 2023/04/02 18:22:02 - mmengine - INFO - Epoch(train) [7][1300/5005] lr: 9.9114e-05 eta: 10:35:15 time: 0.0762 data_time: 0.0174 memory: 1684 loss: 1.3400 2023/04/02 18:22:10 - mmengine - INFO - Epoch(train) [7][1400/5005] lr: 9.9114e-05 eta: 10:35:00 time: 0.0759 data_time: 0.0171 memory: 1684 loss: 1.2712 2023/04/02 18:22:18 - mmengine - INFO - Epoch(train) [7][1500/5005] lr: 9.9114e-05 eta: 10:34:49 time: 0.0793 data_time: 0.0183 memory: 1684 loss: 1.2111 2023/04/02 18:22:26 - mmengine - INFO - Epoch(train) [7][1600/5005] lr: 9.9114e-05 eta: 10:34:42 time: 0.0843 data_time: 0.0172 memory: 1684 loss: 1.1677 2023/04/02 18:22:34 - mmengine - INFO - Epoch(train) [7][1700/5005] lr: 9.9114e-05 eta: 10:34:31 time: 0.0851 data_time: 0.0169 memory: 1684 loss: 1.2396 2023/04/02 18:22:41 - mmengine - INFO - Epoch(train) [7][1800/5005] lr: 9.9114e-05 eta: 10:34:14 time: 0.0829 data_time: 0.0241 memory: 1684 loss: 1.2309 2023/04/02 18:22:49 - mmengine - INFO - Epoch(train) [7][1900/5005] lr: 9.9114e-05 eta: 10:34:01 time: 0.0756 data_time: 0.0170 memory: 1684 loss: 1.2428 2023/04/02 18:22:55 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:22:57 - mmengine - INFO - Epoch(train) [7][2000/5005] lr: 9.9114e-05 eta: 10:33:50 time: 0.0777 data_time: 0.0168 memory: 1684 loss: 1.2851 2023/04/02 18:23:05 - mmengine - INFO - Epoch(train) [7][2100/5005] lr: 9.9114e-05 eta: 10:33:43 time: 0.0799 data_time: 0.0197 memory: 1684 loss: 1.5007 2023/04/02 18:23:13 - mmengine - INFO - Epoch(train) [7][2200/5005] lr: 9.9114e-05 eta: 10:33:35 time: 0.0836 data_time: 0.0173 memory: 1684 loss: 1.2235 2023/04/02 18:23:22 - mmengine - INFO - Epoch(train) [7][2300/5005] lr: 9.9114e-05 eta: 10:33:32 time: 0.0789 data_time: 0.0170 memory: 1684 loss: 1.2679 2023/04/02 18:23:30 - mmengine - INFO - Epoch(train) [7][2400/5005] lr: 9.9114e-05 eta: 10:33:17 time: 0.0758 data_time: 0.0185 memory: 1684 loss: 1.4097 2023/04/02 18:23:38 - mmengine - INFO - Epoch(train) [7][2500/5005] lr: 9.9114e-05 eta: 10:33:06 time: 0.0754 data_time: 0.0177 memory: 1684 loss: 1.2000 2023/04/02 18:23:46 - mmengine - INFO - Epoch(train) [7][2600/5005] lr: 9.9114e-05 eta: 10:32:57 time: 0.0761 data_time: 0.0174 memory: 1684 loss: 1.3582 2023/04/02 18:23:53 - mmengine - INFO - Epoch(train) [7][2700/5005] lr: 9.9114e-05 eta: 10:32:44 time: 0.0766 data_time: 0.0177 memory: 1684 loss: 1.2426 2023/04/02 18:24:02 - mmengine - INFO - Epoch(train) [7][2800/5005] lr: 9.9114e-05 eta: 10:32:40 time: 0.0754 data_time: 0.0174 memory: 1684 loss: 1.2903 2023/04/02 18:24:10 - mmengine - INFO - Epoch(train) [7][2900/5005] lr: 9.9114e-05 eta: 10:32:28 time: 0.0764 data_time: 0.0172 memory: 1684 loss: 1.2845 2023/04/02 18:24:15 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:24:18 - mmengine - INFO - Epoch(train) [7][3000/5005] lr: 9.9114e-05 eta: 10:32:15 time: 0.0754 data_time: 0.0184 memory: 1684 loss: 1.3513 2023/04/02 18:24:25 - mmengine - INFO - Epoch(train) [7][3100/5005] lr: 9.9114e-05 eta: 10:32:02 time: 0.0878 data_time: 0.0286 memory: 1684 loss: 1.2911 2023/04/02 18:24:33 - mmengine - INFO - Epoch(train) [7][3200/5005] lr: 9.9114e-05 eta: 10:31:52 time: 0.0831 data_time: 0.0238 memory: 1684 loss: 1.2990 2023/04/02 18:24:41 - mmengine - INFO - Epoch(train) [7][3300/5005] lr: 9.9114e-05 eta: 10:31:40 time: 0.0776 data_time: 0.0174 memory: 1684 loss: 1.1760 2023/04/02 18:24:49 - mmengine - INFO - Epoch(train) [7][3400/5005] lr: 9.9114e-05 eta: 10:31:31 time: 0.0757 data_time: 0.0178 memory: 1684 loss: 1.3261 2023/04/02 18:24:57 - mmengine - INFO - Epoch(train) [7][3500/5005] lr: 9.9114e-05 eta: 10:31:16 time: 0.0768 data_time: 0.0177 memory: 1684 loss: 1.3270 2023/04/02 18:25:04 - mmengine - INFO - Epoch(train) [7][3600/5005] lr: 9.9114e-05 eta: 10:31:01 time: 0.0735 data_time: 0.0172 memory: 1684 loss: 1.3170 2023/04/02 18:25:13 - mmengine - INFO - Epoch(train) [7][3700/5005] lr: 9.9114e-05 eta: 10:30:55 time: 0.0775 data_time: 0.0175 memory: 1684 loss: 1.2459 2023/04/02 18:25:21 - mmengine - INFO - Epoch(train) [7][3800/5005] lr: 9.9114e-05 eta: 10:30:43 time: 0.0765 data_time: 0.0174 memory: 1684 loss: 1.3399 2023/04/02 18:25:28 - mmengine - INFO - Epoch(train) [7][3900/5005] lr: 9.9114e-05 eta: 10:30:27 time: 0.0827 data_time: 0.0183 memory: 1684 loss: 1.3517 2023/04/02 18:25:34 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:25:36 - mmengine - INFO - Epoch(train) [7][4000/5005] lr: 9.9114e-05 eta: 10:30:17 time: 0.0761 data_time: 0.0175 memory: 1684 loss: 1.3254 2023/04/02 18:25:44 - mmengine - INFO - Epoch(train) [7][4100/5005] lr: 9.9114e-05 eta: 10:30:06 time: 0.0754 data_time: 0.0174 memory: 1684 loss: 1.2771 2023/04/02 18:25:52 - mmengine - INFO - Epoch(train) [7][4200/5005] lr: 9.9114e-05 eta: 10:29:54 time: 0.0761 data_time: 0.0176 memory: 1684 loss: 1.3649 2023/04/02 18:26:00 - mmengine - INFO - Epoch(train) [7][4300/5005] lr: 9.9114e-05 eta: 10:29:44 time: 0.0852 data_time: 0.0175 memory: 1684 loss: 1.3001 2023/04/02 18:26:08 - mmengine - INFO - Epoch(train) [7][4400/5005] lr: 9.9114e-05 eta: 10:29:39 time: 0.0776 data_time: 0.0172 memory: 1684 loss: 1.2232 2023/04/02 18:26:16 - mmengine - INFO - Epoch(train) [7][4500/5005] lr: 9.9114e-05 eta: 10:29:26 time: 0.0778 data_time: 0.0172 memory: 1684 loss: 1.3055 2023/04/02 18:26:24 - mmengine - INFO - Epoch(train) [7][4600/5005] lr: 9.9114e-05 eta: 10:29:19 time: 0.0754 data_time: 0.0166 memory: 1684 loss: 1.4289 2023/04/02 18:26:32 - mmengine - INFO - Epoch(train) [7][4700/5005] lr: 9.9114e-05 eta: 10:29:04 time: 0.0747 data_time: 0.0173 memory: 1684 loss: 1.3170 2023/04/02 18:26:40 - mmengine - INFO - Epoch(train) [7][4800/5005] lr: 9.9114e-05 eta: 10:28:54 time: 0.0901 data_time: 0.0185 memory: 1684 loss: 1.2680 2023/04/02 18:26:48 - mmengine - INFO - Epoch(train) [7][4900/5005] lr: 9.9114e-05 eta: 10:28:44 time: 0.0755 data_time: 0.0171 memory: 1684 loss: 1.5248 2023/04/02 18:26:53 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:26:55 - mmengine - INFO - Epoch(train) [7][5000/5005] lr: 9.9114e-05 eta: 10:28:32 time: 0.0796 data_time: 0.0188 memory: 1684 loss: 1.3680 2023/04/02 18:26:56 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:26:56 - mmengine - INFO - Saving checkpoint at 7 epochs 2023/04/02 18:27:02 - mmengine - INFO - Epoch(val) [7][100/196] eta: 0:00:04 time: 0.0341 data_time: 0.0090 memory: 1684 2023/04/02 18:27:15 - mmengine - INFO - Epoch(val) [7][196/196] qat.accuracy/top1: 69.4360 qat.accuracy/top5: 89.0240data_time: 0.0121 time: 0.0357 2023/04/02 18:27:19 - mmengine - INFO - Epoch(val) [7][100/196] eta: 0:00:03 time: 0.0365 data_time: 0.0090 memory: 513 2023/04/02 18:27:33 - mmengine - INFO - Epoch(val) [7][196/196] qat.accuracy/top1: 69.4640 qat.accuracy/top5: 89.0420data_time: 0.0073 time: 0.0337 2023/04/02 18:27:36 - mmengine - INFO - Epoch(val) [7][100/196] eta: 0:00:02 time: 0.0234 data_time: 0.0106 memory: 470 2023/04/02 18:27:48 - mmengine - INFO - Epoch(val) [7][196/196] original.accuracy/top1: 69.2780 original.accuracy/top5: 88.9160data_time: 0.0340 time: 0.0441 2023/04/02 18:27:57 - mmengine - INFO - Epoch(train) [8][ 100/5005] lr: 9.8796e-05 eta: 10:28:29 time: 0.0758 data_time: 0.0178 memory: 1735 loss: 1.3723 2023/04/02 18:28:05 - mmengine - INFO - Epoch(train) [8][ 200/5005] lr: 9.8796e-05 eta: 10:28:24 time: 0.0776 data_time: 0.0169 memory: 1735 loss: 1.3240 2023/04/02 18:28:13 - mmengine - INFO - Epoch(train) [8][ 300/5005] lr: 9.8796e-05 eta: 10:28:16 time: 0.0903 data_time: 0.0175 memory: 1735 loss: 1.3161 2023/04/02 18:28:21 - mmengine - INFO - Epoch(train) [8][ 400/5005] lr: 9.8796e-05 eta: 10:28:06 time: 0.0763 data_time: 0.0170 memory: 1735 loss: 1.0890 2023/04/02 18:28:29 - mmengine - INFO - Epoch(train) [8][ 500/5005] lr: 9.8796e-05 eta: 10:27:54 time: 0.0744 data_time: 0.0169 memory: 1735 loss: 1.3382 2023/04/02 18:28:37 - mmengine - INFO - Epoch(train) [8][ 600/5005] lr: 9.8796e-05 eta: 10:27:41 time: 0.0729 data_time: 0.0169 memory: 1735 loss: 1.2507 2023/04/02 18:28:45 - mmengine - INFO - Epoch(train) [8][ 700/5005] lr: 9.8796e-05 eta: 10:27:28 time: 0.0869 data_time: 0.0169 memory: 1735 loss: 1.2369 2023/04/02 18:28:53 - mmengine - INFO - Epoch(train) [8][ 800/5005] lr: 9.8796e-05 eta: 10:27:19 time: 0.0917 data_time: 0.0173 memory: 1735 loss: 1.2537 2023/04/02 18:29:01 - mmengine - INFO - Epoch(train) [8][ 900/5005] lr: 9.8796e-05 eta: 10:27:08 time: 0.0743 data_time: 0.0171 memory: 1735 loss: 1.3397 2023/04/02 18:29:06 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:29:09 - mmengine - INFO - Epoch(train) [8][1000/5005] lr: 9.8796e-05 eta: 10:26:58 time: 0.0747 data_time: 0.0171 memory: 1735 loss: 1.1497 2023/04/02 18:29:16 - mmengine - INFO - Epoch(train) [8][1100/5005] lr: 9.8796e-05 eta: 10:26:45 time: 0.0755 data_time: 0.0169 memory: 1684 loss: 1.2475 2023/04/02 18:29:24 - mmengine - INFO - Epoch(train) [8][1200/5005] lr: 9.8796e-05 eta: 10:26:32 time: 0.0768 data_time: 0.0173 memory: 1684 loss: 1.1554 2023/04/02 18:29:32 - mmengine - INFO - Epoch(train) [8][1300/5005] lr: 9.8796e-05 eta: 10:26:20 time: 0.0774 data_time: 0.0171 memory: 1684 loss: 1.2660 2023/04/02 18:29:40 - mmengine - INFO - Epoch(train) [8][1400/5005] lr: 9.8796e-05 eta: 10:26:08 time: 0.0878 data_time: 0.0170 memory: 1684 loss: 1.1411 2023/04/02 18:29:48 - mmengine - INFO - Epoch(train) [8][1500/5005] lr: 9.8796e-05 eta: 10:25:59 time: 0.0757 data_time: 0.0172 memory: 1684 loss: 1.4077 2023/04/02 18:29:55 - mmengine - INFO - Epoch(train) [8][1600/5005] lr: 9.8796e-05 eta: 10:25:47 time: 0.0849 data_time: 0.0170 memory: 1684 loss: 1.3199 2023/04/02 18:30:03 - mmengine - INFO - Epoch(train) [8][1700/5005] lr: 9.8796e-05 eta: 10:25:32 time: 0.0747 data_time: 0.0169 memory: 1684 loss: 1.1954 2023/04/02 18:30:11 - mmengine - INFO - Epoch(train) [8][1800/5005] lr: 9.8796e-05 eta: 10:25:20 time: 0.0831 data_time: 0.0181 memory: 1684 loss: 1.1651 2023/04/02 18:30:19 - mmengine - INFO - Epoch(train) [8][1900/5005] lr: 9.8796e-05 eta: 10:25:08 time: 0.0740 data_time: 0.0171 memory: 1684 loss: 1.2654 2023/04/02 18:30:24 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:30:26 - mmengine - INFO - Epoch(train) [8][2000/5005] lr: 9.8796e-05 eta: 10:24:57 time: 0.0757 data_time: 0.0172 memory: 1684 loss: 1.1880 2023/04/02 18:30:34 - mmengine - INFO - Epoch(train) [8][2100/5005] lr: 9.8796e-05 eta: 10:24:45 time: 0.0743 data_time: 0.0170 memory: 1684 loss: 1.2444 2023/04/02 18:30:42 - mmengine - INFO - Epoch(train) [8][2200/5005] lr: 9.8796e-05 eta: 10:24:35 time: 0.0771 data_time: 0.0177 memory: 1684 loss: 1.2243 2023/04/02 18:30:50 - mmengine - INFO - Epoch(train) [8][2300/5005] lr: 9.8796e-05 eta: 10:24:25 time: 0.0779 data_time: 0.0171 memory: 1684 loss: 1.1896 2023/04/02 18:30:58 - mmengine - INFO - Epoch(train) [8][2400/5005] lr: 9.8796e-05 eta: 10:24:15 time: 0.0794 data_time: 0.0171 memory: 1684 loss: 1.3761 2023/04/02 18:31:06 - mmengine - INFO - Epoch(train) [8][2500/5005] lr: 9.8796e-05 eta: 10:24:09 time: 0.0938 data_time: 0.0173 memory: 1684 loss: 1.0523 2023/04/02 18:31:15 - mmengine - INFO - Epoch(train) [8][2600/5005] lr: 9.8796e-05 eta: 10:24:04 time: 0.0765 data_time: 0.0173 memory: 1684 loss: 1.1075 2023/04/02 18:31:23 - mmengine - INFO - Epoch(train) [8][2700/5005] lr: 9.8796e-05 eta: 10:23:56 time: 0.0779 data_time: 0.0176 memory: 1684 loss: 1.3087 2023/04/02 18:31:31 - mmengine - INFO - Epoch(train) [8][2800/5005] lr: 9.8796e-05 eta: 10:23:45 time: 0.0901 data_time: 0.0170 memory: 1684 loss: 1.2501 2023/04/02 18:31:38 - mmengine - INFO - Epoch(train) [8][2900/5005] lr: 9.8796e-05 eta: 10:23:33 time: 0.0786 data_time: 0.0171 memory: 1684 loss: 1.4073 2023/04/02 18:31:43 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:31:46 - mmengine - INFO - Epoch(train) [8][3000/5005] lr: 9.8796e-05 eta: 10:23:21 time: 0.0746 data_time: 0.0169 memory: 1684 loss: 1.2936 2023/04/02 18:31:54 - mmengine - INFO - Epoch(train) [8][3100/5005] lr: 9.8796e-05 eta: 10:23:09 time: 0.0867 data_time: 0.0289 memory: 1684 loss: 1.2005 2023/04/02 18:32:02 - mmengine - INFO - Epoch(train) [8][3200/5005] lr: 9.8796e-05 eta: 10:22:57 time: 0.0763 data_time: 0.0173 memory: 1684 loss: 1.0717 2023/04/02 18:32:10 - mmengine - INFO - Epoch(train) [8][3300/5005] lr: 9.8796e-05 eta: 10:22:46 time: 0.0780 data_time: 0.0170 memory: 1684 loss: 1.1783 2023/04/02 18:32:17 - mmengine - INFO - Epoch(train) [8][3400/5005] lr: 9.8796e-05 eta: 10:22:35 time: 0.0761 data_time: 0.0173 memory: 1684 loss: 1.3196 2023/04/02 18:32:26 - mmengine - INFO - Epoch(train) [8][3500/5005] lr: 9.8796e-05 eta: 10:22:29 time: 0.0757 data_time: 0.0174 memory: 1684 loss: 1.2307 2023/04/02 18:32:34 - mmengine - INFO - Epoch(train) [8][3600/5005] lr: 9.8796e-05 eta: 10:22:19 time: 0.0772 data_time: 0.0181 memory: 1684 loss: 1.2771 2023/04/02 18:32:42 - mmengine - INFO - Epoch(train) [8][3700/5005] lr: 9.8796e-05 eta: 10:22:12 time: 0.0859 data_time: 0.0174 memory: 1684 loss: 1.1533 2023/04/02 18:32:50 - mmengine - INFO - Epoch(train) [8][3800/5005] lr: 9.8796e-05 eta: 10:21:59 time: 0.0736 data_time: 0.0173 memory: 1684 loss: 1.3231 2023/04/02 18:32:57 - mmengine - INFO - Epoch(train) [8][3900/5005] lr: 9.8796e-05 eta: 10:21:48 time: 0.0768 data_time: 0.0174 memory: 1684 loss: 1.1294 2023/04/02 18:33:03 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:33:05 - mmengine - INFO - Epoch(train) [8][4000/5005] lr: 9.8796e-05 eta: 10:21:35 time: 0.0738 data_time: 0.0174 memory: 1684 loss: 1.2486 2023/04/02 18:33:13 - mmengine - INFO - Epoch(train) [8][4100/5005] lr: 9.8796e-05 eta: 10:21:25 time: 0.0873 data_time: 0.0174 memory: 1684 loss: 1.3158 2023/04/02 18:33:21 - mmengine - INFO - Epoch(train) [8][4200/5005] lr: 9.8796e-05 eta: 10:21:14 time: 0.0763 data_time: 0.0166 memory: 1684 loss: 1.2857 2023/04/02 18:33:29 - mmengine - INFO - Epoch(train) [8][4300/5005] lr: 9.8796e-05 eta: 10:21:06 time: 0.0772 data_time: 0.0179 memory: 1684 loss: 1.1740 2023/04/02 18:33:37 - mmengine - INFO - Epoch(train) [8][4400/5005] lr: 9.8796e-05 eta: 10:20:59 time: 0.0790 data_time: 0.0178 memory: 1684 loss: 1.2625 2023/04/02 18:33:45 - mmengine - INFO - Epoch(train) [8][4500/5005] lr: 9.8796e-05 eta: 10:20:52 time: 0.0790 data_time: 0.0172 memory: 1684 loss: 1.2209 2023/04/02 18:33:53 - mmengine - INFO - Epoch(train) [8][4600/5005] lr: 9.8796e-05 eta: 10:20:41 time: 0.0930 data_time: 0.0174 memory: 1684 loss: 1.3095 2023/04/02 18:34:01 - mmengine - INFO - Epoch(train) [8][4700/5005] lr: 9.8796e-05 eta: 10:20:29 time: 0.0762 data_time: 0.0174 memory: 1684 loss: 1.3086 2023/04/02 18:34:10 - mmengine - INFO - Epoch(train) [8][4800/5005] lr: 9.8796e-05 eta: 10:20:27 time: 0.1125 data_time: 0.0367 memory: 1684 loss: 1.3093 2023/04/02 18:34:18 - mmengine - INFO - Epoch(train) [8][4900/5005] lr: 9.8796e-05 eta: 10:20:20 time: 0.0768 data_time: 0.0172 memory: 1684 loss: 1.0844 2023/04/02 18:34:23 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:34:26 - mmengine - INFO - Epoch(train) [8][5000/5005] lr: 9.8796e-05 eta: 10:20:11 time: 0.0939 data_time: 0.0183 memory: 1684 loss: 1.1430 2023/04/02 18:34:26 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:34:26 - mmengine - INFO - Saving checkpoint at 8 epochs 2023/04/02 18:34:33 - mmengine - INFO - Epoch(val) [8][100/196] eta: 0:00:04 time: 0.0327 data_time: 0.0078 memory: 1684 2023/04/02 18:34:45 - mmengine - INFO - Epoch(val) [8][196/196] qat.accuracy/top1: 69.3560 qat.accuracy/top5: 88.9780data_time: 0.0067 time: 0.0305 2023/04/02 18:34:50 - mmengine - INFO - Epoch(val) [8][100/196] eta: 0:00:04 time: 0.0354 data_time: 0.0075 memory: 513 2023/04/02 18:35:03 - mmengine - INFO - Epoch(val) [8][196/196] qat.accuracy/top1: 69.3280 qat.accuracy/top5: 88.9880data_time: 0.0066 time: 0.0326 2023/04/02 18:35:06 - mmengine - INFO - Epoch(val) [8][100/196] eta: 0:00:02 time: 0.0236 data_time: 0.0106 memory: 470 2023/04/02 18:35:18 - mmengine - INFO - Epoch(val) [8][196/196] original.accuracy/top1: 69.3700 original.accuracy/top5: 88.9880data_time: 0.0336 time: 0.0437 2023/04/02 18:35:27 - mmengine - INFO - Epoch(train) [9][ 100/5005] lr: 9.8429e-05 eta: 10:20:18 time: 0.0788 data_time: 0.0170 memory: 1735 loss: 1.1072 2023/04/02 18:35:35 - mmengine - INFO - Epoch(train) [9][ 200/5005] lr: 9.8429e-05 eta: 10:20:08 time: 0.0754 data_time: 0.0170 memory: 1735 loss: 1.2812 2023/04/02 18:35:43 - mmengine - INFO - Epoch(train) [9][ 300/5005] lr: 9.8429e-05 eta: 10:19:56 time: 0.0747 data_time: 0.0172 memory: 1735 loss: 1.2345 2023/04/02 18:35:51 - mmengine - INFO - Epoch(train) [9][ 400/5005] lr: 9.8429e-05 eta: 10:19:46 time: 0.0887 data_time: 0.0304 memory: 1735 loss: 1.1910 2023/04/02 18:35:59 - mmengine - INFO - Epoch(train) [9][ 500/5005] lr: 9.8429e-05 eta: 10:19:37 time: 0.0783 data_time: 0.0185 memory: 1684 loss: 1.2945 2023/04/02 18:36:07 - mmengine - INFO - Epoch(train) [9][ 600/5005] lr: 9.8429e-05 eta: 10:19:33 time: 0.0878 data_time: 0.0169 memory: 1684 loss: 1.0957 2023/04/02 18:36:15 - mmengine - INFO - Epoch(train) [9][ 700/5005] lr: 9.8429e-05 eta: 10:19:25 time: 0.0750 data_time: 0.0170 memory: 1684 loss: 1.0843 2023/04/02 18:36:23 - mmengine - INFO - Epoch(train) [9][ 800/5005] lr: 9.8429e-05 eta: 10:19:14 time: 0.0775 data_time: 0.0169 memory: 1684 loss: 1.3042 2023/04/02 18:36:31 - mmengine - INFO - Epoch(train) [9][ 900/5005] lr: 9.8429e-05 eta: 10:19:06 time: 0.0773 data_time: 0.0169 memory: 1684 loss: 1.3237 2023/04/02 18:36:36 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:36:39 - mmengine - INFO - Epoch(train) [9][1000/5005] lr: 9.8429e-05 eta: 10:18:55 time: 0.0725 data_time: 0.0170 memory: 1684 loss: 1.2207 2023/04/02 18:36:48 - mmengine - INFO - Epoch(train) [9][1100/5005] lr: 9.8429e-05 eta: 10:18:48 time: 0.0750 data_time: 0.0168 memory: 1684 loss: 1.2289 2023/04/02 18:36:55 - mmengine - INFO - Epoch(train) [9][1200/5005] lr: 9.8429e-05 eta: 10:18:38 time: 0.0830 data_time: 0.0168 memory: 1684 loss: 1.2594 2023/04/02 18:37:03 - mmengine - INFO - Epoch(train) [9][1300/5005] lr: 9.8429e-05 eta: 10:18:29 time: 0.0772 data_time: 0.0167 memory: 1684 loss: 1.3102 2023/04/02 18:37:11 - mmengine - INFO - Epoch(train) [9][1400/5005] lr: 9.8429e-05 eta: 10:18:16 time: 0.0766 data_time: 0.0170 memory: 1684 loss: 1.3290 2023/04/02 18:37:19 - mmengine - INFO - Epoch(train) [9][1500/5005] lr: 9.8429e-05 eta: 10:18:08 time: 0.0868 data_time: 0.0279 memory: 1684 loss: 1.2925 2023/04/02 18:37:27 - mmengine - INFO - Epoch(train) [9][1600/5005] lr: 9.8429e-05 eta: 10:18:00 time: 0.0922 data_time: 0.0170 memory: 1684 loss: 1.4720 2023/04/02 18:37:35 - mmengine - INFO - Epoch(train) [9][1700/5005] lr: 9.8429e-05 eta: 10:17:50 time: 0.0899 data_time: 0.0169 memory: 1684 loss: 1.2868 2023/04/02 18:37:43 - mmengine - INFO - Epoch(train) [9][1800/5005] lr: 9.8429e-05 eta: 10:17:43 time: 0.0862 data_time: 0.0171 memory: 1684 loss: 1.2509 2023/04/02 18:37:52 - mmengine - INFO - Epoch(train) [9][1900/5005] lr: 9.8429e-05 eta: 10:17:36 time: 0.0777 data_time: 0.0172 memory: 1684 loss: 1.1246 2023/04/02 18:37:56 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:37:59 - mmengine - INFO - Epoch(train) [9][2000/5005] lr: 9.8429e-05 eta: 10:17:26 time: 0.0736 data_time: 0.0167 memory: 1684 loss: 1.2791 2023/04/02 18:38:07 - mmengine - INFO - Epoch(train) [9][2100/5005] lr: 9.8429e-05 eta: 10:17:12 time: 0.0745 data_time: 0.0173 memory: 1684 loss: 1.4535 2023/04/02 18:38:15 - mmengine - INFO - Epoch(train) [9][2200/5005] lr: 9.8429e-05 eta: 10:17:03 time: 0.0793 data_time: 0.0170 memory: 1684 loss: 1.1859 2023/04/02 18:38:23 - mmengine - INFO - Epoch(train) [9][2300/5005] lr: 9.8429e-05 eta: 10:16:55 time: 0.0757 data_time: 0.0165 memory: 1684 loss: 1.5017 2023/04/02 18:38:31 - mmengine - INFO - Epoch(train) [9][2400/5005] lr: 9.8429e-05 eta: 10:16:48 time: 0.1012 data_time: 0.0233 memory: 1684 loss: 1.3259 2023/04/02 18:39:15 - mmengine - INFO - Epoch(train) [9][2500/5005] lr: 9.8429e-05 eta: 10:23:02 time: 0.7257 data_time: 0.4317 memory: 1684 loss: 1.2908 2023/04/02 18:39:51 - mmengine - INFO - Epoch(train) [9][2600/5005] lr: 9.8429e-05 eta: 10:27:52 time: 0.0745 data_time: 0.0168 memory: 1684 loss: 1.3200 2023/04/02 18:39:59 - mmengine - INFO - Epoch(train) [9][2700/5005] lr: 9.8429e-05 eta: 10:27:42 time: 0.0768 data_time: 0.0169 memory: 1684 loss: 1.3279 2023/04/02 18:40:07 - mmengine - INFO - Epoch(train) [9][2800/5005] lr: 9.8429e-05 eta: 10:27:30 time: 0.0908 data_time: 0.0173 memory: 1684 loss: 1.0432 2023/04/02 18:40:15 - mmengine - INFO - Epoch(train) [9][2900/5005] lr: 9.8429e-05 eta: 10:27:17 time: 0.0788 data_time: 0.0176 memory: 1684 loss: 1.1914 2023/04/02 18:40:19 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:40:22 - mmengine - INFO - Epoch(train) [9][3000/5005] lr: 9.8429e-05 eta: 10:27:04 time: 0.0744 data_time: 0.0169 memory: 1684 loss: 1.3067 2023/04/02 18:40:30 - mmengine - INFO - Epoch(train) [9][3100/5005] lr: 9.8429e-05 eta: 10:26:50 time: 0.0751 data_time: 0.0173 memory: 1684 loss: 1.2318 2023/04/02 18:40:38 - mmengine - INFO - Epoch(train) [9][3200/5005] lr: 9.8429e-05 eta: 10:26:39 time: 0.0757 data_time: 0.0172 memory: 1684 loss: 1.2305 2023/04/02 18:40:46 - mmengine - INFO - Epoch(train) [9][3300/5005] lr: 9.8429e-05 eta: 10:26:32 time: 0.1058 data_time: 0.0170 memory: 1684 loss: 1.3785 2023/04/02 18:40:54 - mmengine - INFO - Epoch(train) [9][3400/5005] lr: 9.8429e-05 eta: 10:26:21 time: 0.0753 data_time: 0.0170 memory: 1684 loss: 1.2704 2023/04/02 18:41:02 - mmengine - INFO - Epoch(train) [9][3500/5005] lr: 9.8429e-05 eta: 10:26:06 time: 0.0767 data_time: 0.0172 memory: 1684 loss: 1.4761 2023/04/02 18:41:10 - mmengine - INFO - Epoch(train) [9][3600/5005] lr: 9.8429e-05 eta: 10:25:54 time: 0.0758 data_time: 0.0170 memory: 1684 loss: 1.3273 2023/04/02 18:41:18 - mmengine - INFO - Epoch(train) [9][3700/5005] lr: 9.8429e-05 eta: 10:25:41 time: 0.0757 data_time: 0.0178 memory: 1684 loss: 1.1628 2023/04/02 18:41:26 - mmengine - INFO - Epoch(train) [9][3800/5005] lr: 9.8429e-05 eta: 10:25:31 time: 0.0812 data_time: 0.0175 memory: 1684 loss: 1.2458 2023/04/02 18:41:34 - mmengine - INFO - Epoch(train) [9][3900/5005] lr: 9.8429e-05 eta: 10:25:22 time: 0.0767 data_time: 0.0182 memory: 1684 loss: 1.3787 2023/04/02 18:41:39 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:41:42 - mmengine - INFO - Epoch(train) [9][4000/5005] lr: 9.8429e-05 eta: 10:25:09 time: 0.0772 data_time: 0.0172 memory: 1684 loss: 1.2923 2023/04/02 18:41:50 - mmengine - INFO - Epoch(train) [9][4100/5005] lr: 9.8429e-05 eta: 10:24:58 time: 0.0772 data_time: 0.0171 memory: 1684 loss: 1.2933 2023/04/02 18:41:57 - mmengine - INFO - Epoch(train) [9][4200/5005] lr: 9.8429e-05 eta: 10:24:45 time: 0.0807 data_time: 0.0222 memory: 1684 loss: 1.1563 2023/04/02 18:42:06 - mmengine - INFO - Epoch(train) [9][4300/5005] lr: 9.8429e-05 eta: 10:24:36 time: 0.0763 data_time: 0.0171 memory: 1684 loss: 1.3551 2023/04/02 18:42:14 - mmengine - INFO - Epoch(train) [9][4400/5005] lr: 9.8429e-05 eta: 10:24:27 time: 0.0862 data_time: 0.0166 memory: 1684 loss: 1.3710 2023/04/02 18:42:22 - mmengine - INFO - Epoch(train) [9][4500/5005] lr: 9.8429e-05 eta: 10:24:17 time: 0.0875 data_time: 0.0183 memory: 1684 loss: 1.2149 2023/04/02 18:42:30 - mmengine - INFO - Epoch(train) [9][4600/5005] lr: 9.8429e-05 eta: 10:24:04 time: 0.0801 data_time: 0.0182 memory: 1684 loss: 1.2123 2023/04/02 18:42:37 - mmengine - INFO - Epoch(train) [9][4700/5005] lr: 9.8429e-05 eta: 10:23:51 time: 0.0769 data_time: 0.0169 memory: 1684 loss: 1.2732 2023/04/02 18:42:45 - mmengine - INFO - Epoch(train) [9][4800/5005] lr: 9.8429e-05 eta: 10:23:37 time: 0.0784 data_time: 0.0171 memory: 1684 loss: 1.1046 2023/04/02 18:42:53 - mmengine - INFO - Epoch(train) [9][4900/5005] lr: 9.8429e-05 eta: 10:23:26 time: 0.0878 data_time: 0.0278 memory: 1684 loss: 1.2055 2023/04/02 18:42:58 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:43:01 - mmengine - INFO - Epoch(train) [9][5000/5005] lr: 9.8429e-05 eta: 10:23:16 time: 0.0770 data_time: 0.0180 memory: 1684 loss: 1.2069 2023/04/02 18:43:01 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:43:02 - mmengine - INFO - Saving checkpoint at 9 epochs 2023/04/02 18:43:07 - mmengine - INFO - Epoch(val) [9][100/196] eta: 0:00:03 time: 0.0332 data_time: 0.0077 memory: 1684 2023/04/02 18:43:19 - mmengine - INFO - Epoch(val) [9][196/196] qat.accuracy/top1: 69.3160 qat.accuracy/top5: 88.9440data_time: 0.0063 time: 0.0302 2023/04/02 18:43:24 - mmengine - INFO - Epoch(val) [9][100/196] eta: 0:00:03 time: 0.0342 data_time: 0.0068 memory: 513 2023/04/02 18:43:37 - mmengine - INFO - Epoch(val) [9][196/196] qat.accuracy/top1: 69.2580 qat.accuracy/top5: 88.8880data_time: 0.0073 time: 0.0333 2023/04/02 18:43:40 - mmengine - INFO - Epoch(val) [9][100/196] eta: 0:00:03 time: 0.0239 data_time: 0.0134 memory: 470 2023/04/02 18:43:53 - mmengine - INFO - Epoch(val) [9][196/196] original.accuracy/top1: 69.2760 original.accuracy/top5: 88.9680data_time: 0.0314 time: 0.0414 2023/04/02 18:44:02 - mmengine - INFO - Epoch(train) [10][ 100/5005] lr: 9.8015e-05 eta: 10:23:17 time: 0.0769 data_time: 0.0172 memory: 1735 loss: 1.2713 2023/04/02 18:44:10 - mmengine - INFO - Epoch(train) [10][ 200/5005] lr: 9.8015e-05 eta: 10:23:10 time: 0.0925 data_time: 0.0170 memory: 1735 loss: 1.2996 2023/04/02 18:44:18 - mmengine - INFO - Epoch(train) [10][ 300/5005] lr: 9.8015e-05 eta: 10:22:57 time: 0.0781 data_time: 0.0172 memory: 1735 loss: 1.3322 2023/04/02 18:44:26 - mmengine - INFO - Epoch(train) [10][ 400/5005] lr: 9.8015e-05 eta: 10:22:49 time: 0.0813 data_time: 0.0169 memory: 1735 loss: 1.3067 2023/04/02 18:44:34 - mmengine - INFO - Epoch(train) [10][ 500/5005] lr: 9.8015e-05 eta: 10:22:38 time: 0.0849 data_time: 0.0182 memory: 1735 loss: 1.2516 2023/04/02 18:44:42 - mmengine - INFO - Epoch(train) [10][ 600/5005] lr: 9.8015e-05 eta: 10:22:29 time: 0.0783 data_time: 0.0175 memory: 1735 loss: 1.3618 2023/04/02 18:44:51 - mmengine - INFO - Epoch(train) [10][ 700/5005] lr: 9.8015e-05 eta: 10:22:24 time: 0.0989 data_time: 0.0168 memory: 1735 loss: 1.2682 2023/04/02 18:44:59 - mmengine - INFO - Epoch(train) [10][ 800/5005] lr: 9.8015e-05 eta: 10:22:13 time: 0.0778 data_time: 0.0166 memory: 1735 loss: 1.5365 2023/04/02 18:45:07 - mmengine - INFO - Epoch(train) [10][ 900/5005] lr: 9.8015e-05 eta: 10:22:04 time: 0.0791 data_time: 0.0171 memory: 1735 loss: 1.3248 2023/04/02 18:45:11 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:45:15 - mmengine - INFO - Epoch(train) [10][1000/5005] lr: 9.8015e-05 eta: 10:21:55 time: 0.0745 data_time: 0.0169 memory: 1684 loss: 1.2968 2023/04/02 18:45:23 - mmengine - INFO - Epoch(train) [10][1100/5005] lr: 9.8015e-05 eta: 10:21:41 time: 0.0765 data_time: 0.0169 memory: 1684 loss: 1.2696 2023/04/02 18:45:31 - mmengine - INFO - Epoch(train) [10][1200/5005] lr: 9.8015e-05 eta: 10:21:31 time: 0.0764 data_time: 0.0167 memory: 1684 loss: 1.1924 2023/04/02 18:45:39 - mmengine - INFO - Epoch(train) [10][1300/5005] lr: 9.8015e-05 eta: 10:21:23 time: 0.0760 data_time: 0.0173 memory: 1684 loss: 1.2242 2023/04/02 18:45:47 - mmengine - INFO - Epoch(train) [10][1400/5005] lr: 9.8015e-05 eta: 10:21:12 time: 0.0898 data_time: 0.0174 memory: 1684 loss: 1.2495 2023/04/02 18:45:55 - mmengine - INFO - Epoch(train) [10][1500/5005] lr: 9.8015e-05 eta: 10:21:02 time: 0.0795 data_time: 0.0172 memory: 1684 loss: 1.2402 2023/04/02 18:46:03 - mmengine - INFO - Epoch(train) [10][1600/5005] lr: 9.8015e-05 eta: 10:20:52 time: 0.0750 data_time: 0.0176 memory: 1684 loss: 1.5076 2023/04/02 18:46:11 - mmengine - INFO - Epoch(train) [10][1700/5005] lr: 9.8015e-05 eta: 10:20:39 time: 0.0762 data_time: 0.0170 memory: 1684 loss: 1.2155 2023/04/02 18:46:19 - mmengine - INFO - Epoch(train) [10][1800/5005] lr: 9.8015e-05 eta: 10:20:29 time: 0.0740 data_time: 0.0169 memory: 1684 loss: 1.3291 2023/04/02 18:46:26 - mmengine - INFO - Epoch(train) [10][1900/5005] lr: 9.8015e-05 eta: 10:20:15 time: 0.0896 data_time: 0.0173 memory: 1684 loss: 1.1679 2023/04/02 18:46:31 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:46:35 - mmengine - INFO - Epoch(train) [10][2000/5005] lr: 9.8015e-05 eta: 10:20:06 time: 0.0778 data_time: 0.0167 memory: 1684 loss: 1.3780 2023/04/02 18:46:43 - mmengine - INFO - Epoch(train) [10][2100/5005] lr: 9.8015e-05 eta: 10:19:57 time: 0.0846 data_time: 0.0169 memory: 1684 loss: 1.2634 2023/04/02 18:46:51 - mmengine - INFO - Epoch(train) [10][2200/5005] lr: 9.8015e-05 eta: 10:19:47 time: 0.0874 data_time: 0.0168 memory: 1684 loss: 1.3584 2023/04/02 18:46:59 - mmengine - INFO - Epoch(train) [10][2300/5005] lr: 9.8015e-05 eta: 10:19:37 time: 0.0768 data_time: 0.0175 memory: 1684 loss: 1.3592 2023/04/02 18:47:07 - mmengine - INFO - Epoch(train) [10][2400/5005] lr: 9.8015e-05 eta: 10:19:25 time: 0.0757 data_time: 0.0170 memory: 1684 loss: 1.2869 2023/04/02 18:47:14 - mmengine - INFO - Epoch(train) [10][2500/5005] lr: 9.8015e-05 eta: 10:19:11 time: 0.0761 data_time: 0.0170 memory: 1684 loss: 1.2317 2023/04/02 18:47:22 - mmengine - INFO - Epoch(train) [10][2600/5005] lr: 9.8015e-05 eta: 10:19:02 time: 0.0757 data_time: 0.0170 memory: 1684 loss: 1.4967 2023/04/02 18:47:31 - mmengine - INFO - Epoch(train) [10][2700/5005] lr: 9.8015e-05 eta: 10:18:55 time: 0.0754 data_time: 0.0173 memory: 1684 loss: 1.2687 2023/04/02 18:47:39 - mmengine - INFO - Epoch(train) [10][2800/5005] lr: 9.8015e-05 eta: 10:18:44 time: 0.0975 data_time: 0.0170 memory: 1684 loss: 1.4355 2023/04/02 18:47:47 - mmengine - INFO - Epoch(train) [10][2900/5005] lr: 9.8015e-05 eta: 10:18:36 time: 0.0862 data_time: 0.0170 memory: 1684 loss: 1.1703 2023/04/02 18:47:51 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:47:55 - mmengine - INFO - Epoch(train) [10][3000/5005] lr: 9.8015e-05 eta: 10:18:26 time: 0.0853 data_time: 0.0167 memory: 1684 loss: 1.1705 2023/04/02 18:48:03 - mmengine - INFO - Epoch(train) [10][3100/5005] lr: 9.8015e-05 eta: 10:18:16 time: 0.0764 data_time: 0.0172 memory: 1684 loss: 1.0114 2023/04/02 18:48:11 - mmengine - INFO - Epoch(train) [10][3200/5005] lr: 9.8015e-05 eta: 10:18:05 time: 0.0828 data_time: 0.0169 memory: 1684 loss: 1.2333 2023/04/02 18:48:19 - mmengine - INFO - Epoch(train) [10][3300/5005] lr: 9.8015e-05 eta: 10:17:55 time: 0.0857 data_time: 0.0170 memory: 1684 loss: 1.3217 2023/04/02 18:48:27 - mmengine - INFO - Epoch(train) [10][3400/5005] lr: 9.8015e-05 eta: 10:17:43 time: 0.0749 data_time: 0.0170 memory: 1684 loss: 1.0952 2023/04/02 18:48:34 - mmengine - INFO - Epoch(train) [10][3500/5005] lr: 9.8015e-05 eta: 10:17:31 time: 0.0748 data_time: 0.0171 memory: 1684 loss: 1.3011 2023/04/02 18:48:42 - mmengine - INFO - Epoch(train) [10][3600/5005] lr: 9.8015e-05 eta: 10:17:19 time: 0.0757 data_time: 0.0174 memory: 1684 loss: 1.3839 2023/04/02 18:48:50 - mmengine - INFO - Epoch(train) [10][3700/5005] lr: 9.8015e-05 eta: 10:17:09 time: 0.0767 data_time: 0.0164 memory: 1684 loss: 1.1830 2023/04/02 18:48:58 - mmengine - INFO - Epoch(train) [10][3800/5005] lr: 9.8015e-05 eta: 10:16:55 time: 0.0768 data_time: 0.0171 memory: 1684 loss: 1.1549 2023/04/02 18:49:06 - mmengine - INFO - Epoch(train) [10][3900/5005] lr: 9.8015e-05 eta: 10:16:45 time: 0.0793 data_time: 0.0170 memory: 1684 loss: 1.3327 2023/04/02 18:49:10 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:49:14 - mmengine - INFO - Epoch(train) [10][4000/5005] lr: 9.8015e-05 eta: 10:16:35 time: 0.0762 data_time: 0.0169 memory: 1684 loss: 1.1775 2023/04/02 18:49:22 - mmengine - INFO - Epoch(train) [10][4100/5005] lr: 9.8015e-05 eta: 10:16:25 time: 0.0905 data_time: 0.0170 memory: 1684 loss: 1.3701 2023/04/02 18:49:30 - mmengine - INFO - Epoch(train) [10][4200/5005] lr: 9.8015e-05 eta: 10:16:13 time: 0.0781 data_time: 0.0170 memory: 1684 loss: 1.2637 2023/04/02 18:49:38 - mmengine - INFO - Epoch(train) [10][4300/5005] lr: 9.8015e-05 eta: 10:16:02 time: 0.0759 data_time: 0.0169 memory: 1684 loss: 1.1966 2023/04/02 18:49:46 - mmengine - INFO - Epoch(train) [10][4400/5005] lr: 9.8015e-05 eta: 10:15:51 time: 0.0751 data_time: 0.0172 memory: 1684 loss: 1.4208 2023/04/02 18:49:53 - mmengine - INFO - Epoch(train) [10][4500/5005] lr: 9.8015e-05 eta: 10:15:40 time: 0.0760 data_time: 0.0171 memory: 1684 loss: 1.2782 2023/04/02 18:50:01 - mmengine - INFO - Epoch(train) [10][4600/5005] lr: 9.8015e-05 eta: 10:15:28 time: 0.0763 data_time: 0.0172 memory: 1684 loss: 1.4262 2023/04/02 18:50:09 - mmengine - INFO - Epoch(train) [10][4700/5005] lr: 9.8015e-05 eta: 10:15:19 time: 0.0911 data_time: 0.0172 memory: 1684 loss: 1.1698 2023/04/02 18:50:17 - mmengine - INFO - Epoch(train) [10][4800/5005] lr: 9.8015e-05 eta: 10:15:09 time: 0.0745 data_time: 0.0170 memory: 1684 loss: 1.2592 2023/04/02 18:50:25 - mmengine - INFO - Epoch(train) [10][4900/5005] lr: 9.8015e-05 eta: 10:14:59 time: 0.0846 data_time: 0.0170 memory: 1684 loss: 1.1834 2023/04/02 18:50:30 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:50:33 - mmengine - INFO - Epoch(train) [10][5000/5005] lr: 9.8015e-05 eta: 10:14:47 time: 0.0799 data_time: 0.0176 memory: 1684 loss: 1.1715 2023/04/02 18:50:34 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:50:34 - mmengine - INFO - Saving checkpoint at 10 epochs 2023/04/02 18:50:39 - mmengine - INFO - Epoch(val) [10][100/196] eta: 0:00:03 time: 0.0329 data_time: 0.0080 memory: 1684 2023/04/02 18:50:51 - mmengine - INFO - Epoch(val) [10][196/196] qat.accuracy/top1: 69.5260 qat.accuracy/top5: 89.1460data_time: 0.0132 time: 0.0370 2023/04/02 18:50:56 - mmengine - INFO - Epoch(val) [10][100/196] eta: 0:00:04 time: 0.0346 data_time: 0.0075 memory: 513 2023/04/02 18:51:09 - mmengine - INFO - Epoch(val) [10][196/196] qat.accuracy/top1: 69.4800 qat.accuracy/top5: 89.1480data_time: 0.0066 time: 0.0325 2023/04/02 18:51:12 - mmengine - INFO - Epoch(val) [10][100/196] eta: 0:00:02 time: 0.0230 data_time: 0.0127 memory: 470 2023/04/02 18:51:25 - mmengine - INFO - Epoch(val) [10][196/196] original.accuracy/top1: 69.3840 original.accuracy/top5: 89.1100data_time: 0.0402 time: 0.0499 2023/04/02 18:51:34 - mmengine - INFO - Epoch(train) [11][ 100/5005] lr: 9.7553e-05 eta: 10:14:46 time: 0.0913 data_time: 0.0169 memory: 1735 loss: 1.3228 2023/04/02 18:51:41 - mmengine - INFO - Epoch(train) [11][ 200/5005] lr: 9.7553e-05 eta: 10:14:31 time: 0.0745 data_time: 0.0175 memory: 1735 loss: 1.0828 2023/04/02 18:51:49 - mmengine - INFO - Epoch(train) [11][ 300/5005] lr: 9.7553e-05 eta: 10:14:18 time: 0.0776 data_time: 0.0168 memory: 1735 loss: 1.3995 2023/04/02 18:51:57 - mmengine - INFO - Epoch(train) [11][ 400/5005] lr: 9.7553e-05 eta: 10:14:08 time: 0.0928 data_time: 0.0171 memory: 1735 loss: 1.2500 2023/04/02 18:52:06 - mmengine - INFO - Epoch(train) [11][ 500/5005] lr: 9.7553e-05 eta: 10:14:03 time: 0.0793 data_time: 0.0168 memory: 1735 loss: 1.2606 2023/04/02 18:52:13 - mmengine - INFO - Epoch(train) [11][ 600/5005] lr: 9.7553e-05 eta: 10:13:51 time: 0.0773 data_time: 0.0170 memory: 1684 loss: 1.2479 2023/04/02 18:52:21 - mmengine - INFO - Epoch(train) [11][ 700/5005] lr: 9.7553e-05 eta: 10:13:41 time: 0.0761 data_time: 0.0172 memory: 1684 loss: 1.1476 2023/04/02 18:52:29 - mmengine - INFO - Epoch(train) [11][ 800/5005] lr: 9.7553e-05 eta: 10:13:30 time: 0.0761 data_time: 0.0171 memory: 1684 loss: 1.2495 2023/04/02 18:52:37 - mmengine - INFO - Epoch(train) [11][ 900/5005] lr: 9.7553e-05 eta: 10:13:17 time: 0.0740 data_time: 0.0172 memory: 1684 loss: 1.2508 2023/04/02 18:52:41 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:52:45 - mmengine - INFO - Epoch(train) [11][1000/5005] lr: 9.7553e-05 eta: 10:13:10 time: 0.0783 data_time: 0.0169 memory: 1684 loss: 1.3843 2023/04/02 18:52:54 - mmengine - INFO - Epoch(train) [11][1100/5005] lr: 9.7553e-05 eta: 10:13:02 time: 0.0756 data_time: 0.0173 memory: 1684 loss: 1.1255 2023/04/02 18:53:01 - mmengine - INFO - Epoch(train) [11][1200/5005] lr: 9.7553e-05 eta: 10:12:51 time: 0.0758 data_time: 0.0172 memory: 1684 loss: 1.3511 2023/04/02 18:53:09 - mmengine - INFO - Epoch(train) [11][1300/5005] lr: 9.7553e-05 eta: 10:12:42 time: 0.0763 data_time: 0.0175 memory: 1684 loss: 1.4626 2023/04/02 18:53:17 - mmengine - INFO - Epoch(train) [11][1400/5005] lr: 9.7553e-05 eta: 10:12:30 time: 0.0803 data_time: 0.0175 memory: 1684 loss: 1.3901 2023/04/02 18:53:25 - mmengine - INFO - Epoch(train) [11][1500/5005] lr: 9.7553e-05 eta: 10:12:22 time: 0.0776 data_time: 0.0193 memory: 1684 loss: 1.3726 2023/04/02 18:53:34 - mmengine - INFO - Epoch(train) [11][1600/5005] lr: 9.7553e-05 eta: 10:12:16 time: 0.0949 data_time: 0.0172 memory: 1684 loss: 1.3382 2023/04/02 18:53:42 - mmengine - INFO - Epoch(train) [11][1700/5005] lr: 9.7553e-05 eta: 10:12:05 time: 0.0743 data_time: 0.0172 memory: 1684 loss: 1.5284 2023/04/02 18:53:50 - mmengine - INFO - Epoch(train) [11][1800/5005] lr: 9.7553e-05 eta: 10:11:54 time: 0.0871 data_time: 0.0172 memory: 1684 loss: 1.2578 2023/04/02 18:53:57 - mmengine - INFO - Epoch(train) [11][1900/5005] lr: 9.7553e-05 eta: 10:11:41 time: 0.0740 data_time: 0.0176 memory: 1684 loss: 1.3225 2023/04/02 18:54:01 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:54:05 - mmengine - INFO - Epoch(train) [11][2000/5005] lr: 9.7553e-05 eta: 10:11:28 time: 0.0751 data_time: 0.0170 memory: 1684 loss: 1.4003 2023/04/02 18:54:13 - mmengine - INFO - Epoch(train) [11][2100/5005] lr: 9.7553e-05 eta: 10:11:17 time: 0.0847 data_time: 0.0280 memory: 1684 loss: 1.3358 2023/04/02 18:54:21 - mmengine - INFO - Epoch(train) [11][2200/5005] lr: 9.7553e-05 eta: 10:11:07 time: 0.0828 data_time: 0.0170 memory: 1684 loss: 1.1319 2023/04/02 18:54:29 - mmengine - INFO - Epoch(train) [11][2300/5005] lr: 9.7553e-05 eta: 10:10:56 time: 0.0753 data_time: 0.0170 memory: 1684 loss: 1.3428 2023/04/02 18:54:36 - mmengine - INFO - Epoch(train) [11][2400/5005] lr: 9.7553e-05 eta: 10:10:44 time: 0.0801 data_time: 0.0172 memory: 1684 loss: 1.1101 2023/04/02 18:54:44 - mmengine - INFO - Epoch(train) [11][2500/5005] lr: 9.7553e-05 eta: 10:10:32 time: 0.0878 data_time: 0.0169 memory: 1684 loss: 1.2270 2023/04/02 18:54:52 - mmengine - INFO - Epoch(train) [11][2600/5005] lr: 9.7553e-05 eta: 10:10:17 time: 0.0782 data_time: 0.0170 memory: 1684 loss: 1.3388 2023/04/02 18:54:59 - mmengine - INFO - Epoch(train) [11][2700/5005] lr: 9.7553e-05 eta: 10:10:07 time: 0.0777 data_time: 0.0178 memory: 1684 loss: 1.2524 2023/04/02 18:55:07 - mmengine - INFO - Epoch(train) [11][2800/5005] lr: 9.7553e-05 eta: 10:09:56 time: 0.0753 data_time: 0.0171 memory: 1684 loss: 1.3492 2023/04/02 18:55:15 - mmengine - INFO - Epoch(train) [11][2900/5005] lr: 9.7553e-05 eta: 10:09:45 time: 0.0815 data_time: 0.0169 memory: 1684 loss: 1.2722 2023/04/02 18:55:19 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:55:24 - mmengine - INFO - Epoch(train) [11][3000/5005] lr: 9.7553e-05 eta: 10:09:38 time: 0.0928 data_time: 0.0193 memory: 1684 loss: 1.3456 2023/04/02 18:55:31 - mmengine - INFO - Epoch(train) [11][3100/5005] lr: 9.7553e-05 eta: 10:09:25 time: 0.0769 data_time: 0.0165 memory: 1684 loss: 1.2342 2023/04/02 18:55:39 - mmengine - INFO - Epoch(train) [11][3200/5005] lr: 9.7553e-05 eta: 10:09:16 time: 0.0872 data_time: 0.0170 memory: 1684 loss: 1.3761 2023/04/02 18:55:47 - mmengine - INFO - Epoch(train) [11][3300/5005] lr: 9.7553e-05 eta: 10:09:07 time: 0.1118 data_time: 0.0512 memory: 1684 loss: 1.3252 2023/04/02 18:55:55 - mmengine - INFO - Epoch(train) [11][3400/5005] lr: 9.7553e-05 eta: 10:08:56 time: 0.0778 data_time: 0.0184 memory: 1684 loss: 1.2755 2023/04/02 18:56:03 - mmengine - INFO - Epoch(train) [11][3500/5005] lr: 9.7553e-05 eta: 10:08:45 time: 0.0738 data_time: 0.0177 memory: 1684 loss: 1.4007 2023/04/02 18:56:11 - mmengine - INFO - Epoch(train) [11][3600/5005] lr: 9.7553e-05 eta: 10:08:32 time: 0.0758 data_time: 0.0172 memory: 1684 loss: 1.0376 2023/04/02 18:56:19 - mmengine - INFO - Epoch(train) [11][3700/5005] lr: 9.7553e-05 eta: 10:08:21 time: 0.0833 data_time: 0.0170 memory: 1684 loss: 1.2559 2023/04/02 18:56:27 - mmengine - INFO - Epoch(train) [11][3800/5005] lr: 9.7553e-05 eta: 10:08:14 time: 0.0757 data_time: 0.0171 memory: 1684 loss: 1.1928 2023/04/02 18:56:35 - mmengine - INFO - Epoch(train) [11][3900/5005] lr: 9.7553e-05 eta: 10:08:03 time: 0.0811 data_time: 0.0203 memory: 1684 loss: 1.2853 2023/04/02 18:56:39 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:56:43 - mmengine - INFO - Epoch(train) [11][4000/5005] lr: 9.7553e-05 eta: 10:07:52 time: 0.0886 data_time: 0.0170 memory: 1684 loss: 1.3211 2023/04/02 18:56:51 - mmengine - INFO - Epoch(train) [11][4100/5005] lr: 9.7553e-05 eta: 10:07:43 time: 0.0747 data_time: 0.0172 memory: 1684 loss: 1.1406 2023/04/02 18:56:58 - mmengine - INFO - Epoch(train) [11][4200/5005] lr: 9.7553e-05 eta: 10:07:29 time: 0.0767 data_time: 0.0172 memory: 1684 loss: 1.1709 2023/04/02 18:57:06 - mmengine - INFO - Epoch(train) [11][4300/5005] lr: 9.7553e-05 eta: 10:07:18 time: 0.0988 data_time: 0.0171 memory: 1684 loss: 1.1867 2023/04/02 18:57:14 - mmengine - INFO - Epoch(train) [11][4400/5005] lr: 9.7553e-05 eta: 10:07:09 time: 0.0759 data_time: 0.0165 memory: 1684 loss: 1.0930 2023/04/02 18:57:22 - mmengine - INFO - Epoch(train) [11][4500/5005] lr: 9.7553e-05 eta: 10:06:56 time: 0.0761 data_time: 0.0173 memory: 1684 loss: 1.2484 2023/04/02 18:57:30 - mmengine - INFO - Epoch(train) [11][4600/5005] lr: 9.7553e-05 eta: 10:06:47 time: 0.0879 data_time: 0.0179 memory: 1684 loss: 1.4116 2023/04/02 18:57:38 - mmengine - INFO - Epoch(train) [11][4700/5005] lr: 9.7553e-05 eta: 10:06:39 time: 0.0878 data_time: 0.0171 memory: 1684 loss: 1.3740 2023/04/02 18:57:46 - mmengine - INFO - Epoch(train) [11][4800/5005] lr: 9.7553e-05 eta: 10:06:28 time: 0.0855 data_time: 0.0174 memory: 1684 loss: 1.1914 2023/04/02 18:57:54 - mmengine - INFO - Epoch(train) [11][4900/5005] lr: 9.7553e-05 eta: 10:06:22 time: 0.1036 data_time: 0.0171 memory: 1684 loss: 1.1994 2023/04/02 18:57:58 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:58:03 - mmengine - INFO - Epoch(train) [11][5000/5005] lr: 9.7553e-05 eta: 10:06:15 time: 0.0913 data_time: 0.0164 memory: 1684 loss: 1.3721 2023/04/02 18:58:03 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 18:58:03 - mmengine - INFO - Saving checkpoint at 11 epochs 2023/04/02 18:58:08 - mmengine - INFO - Epoch(val) [11][100/196] eta: 0:00:03 time: 0.0339 data_time: 0.0081 memory: 1684 2023/04/02 18:58:21 - mmengine - INFO - Epoch(val) [11][196/196] qat.accuracy/top1: 69.4840 qat.accuracy/top5: 89.0120data_time: 0.0080 time: 0.0316 2023/04/02 18:58:25 - mmengine - INFO - Epoch(val) [11][100/196] eta: 0:00:04 time: 0.0360 data_time: 0.0081 memory: 513 2023/04/02 18:58:38 - mmengine - INFO - Epoch(val) [11][196/196] qat.accuracy/top1: 69.5060 qat.accuracy/top5: 88.9960data_time: 0.0068 time: 0.0319 2023/04/02 18:58:41 - mmengine - INFO - Epoch(val) [11][100/196] eta: 0:00:02 time: 0.0262 data_time: 0.0154 memory: 470 2023/04/02 18:58:54 - mmengine - INFO - Epoch(val) [11][196/196] original.accuracy/top1: 69.3700 original.accuracy/top5: 89.0240data_time: 0.0273 time: 0.0373 2023/04/02 18:59:03 - mmengine - INFO - Epoch(train) [12][ 100/5005] lr: 9.7044e-05 eta: 10:06:11 time: 0.0790 data_time: 0.0176 memory: 1735 loss: 1.3594 2023/04/02 18:59:11 - mmengine - INFO - Epoch(train) [12][ 200/5005] lr: 9.7044e-05 eta: 10:06:02 time: 0.0764 data_time: 0.0174 memory: 1735 loss: 1.1371 2023/04/02 18:59:19 - mmengine - INFO - Epoch(train) [12][ 300/5005] lr: 9.7044e-05 eta: 10:05:55 time: 0.0906 data_time: 0.0166 memory: 1735 loss: 1.3139 2023/04/02 18:59:27 - mmengine - INFO - Epoch(train) [12][ 400/5005] lr: 9.7044e-05 eta: 10:05:45 time: 0.0769 data_time: 0.0181 memory: 1735 loss: 1.3115 2023/04/02 18:59:35 - mmengine - INFO - Epoch(train) [12][ 500/5005] lr: 9.7044e-05 eta: 10:05:37 time: 0.0771 data_time: 0.0173 memory: 1735 loss: 1.2534 2023/04/02 18:59:43 - mmengine - INFO - Epoch(train) [12][ 600/5005] lr: 9.7044e-05 eta: 10:05:26 time: 0.0772 data_time: 0.0172 memory: 1735 loss: 1.2559 2023/04/02 18:59:51 - mmengine - INFO - Epoch(train) [12][ 700/5005] lr: 9.7044e-05 eta: 10:05:19 time: 0.0769 data_time: 0.0171 memory: 1735 loss: 1.0617 2023/04/02 18:59:59 - mmengine - INFO - Epoch(train) [12][ 800/5005] lr: 9.7044e-05 eta: 10:05:05 time: 0.0767 data_time: 0.0172 memory: 1684 loss: 1.2122 2023/04/02 19:00:07 - mmengine - INFO - Epoch(train) [12][ 900/5005] lr: 9.7044e-05 eta: 10:04:55 time: 0.0758 data_time: 0.0170 memory: 1684 loss: 1.5830 2023/04/02 19:00:10 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:00:14 - mmengine - INFO - Epoch(train) [12][1000/5005] lr: 9.7044e-05 eta: 10:04:41 time: 0.0756 data_time: 0.0168 memory: 1684 loss: 1.1726 2023/04/02 19:00:22 - mmengine - INFO - Epoch(train) [12][1100/5005] lr: 9.7044e-05 eta: 10:04:33 time: 0.0843 data_time: 0.0177 memory: 1684 loss: 1.2679 2023/04/02 19:00:30 - mmengine - INFO - Epoch(train) [12][1200/5005] lr: 9.7044e-05 eta: 10:04:23 time: 0.0863 data_time: 0.0169 memory: 1684 loss: 1.2834 2023/04/02 19:00:38 - mmengine - INFO - Epoch(train) [12][1300/5005] lr: 9.7044e-05 eta: 10:04:11 time: 0.0763 data_time: 0.0171 memory: 1684 loss: 1.2638 2023/04/02 19:00:46 - mmengine - INFO - Epoch(train) [12][1400/5005] lr: 9.7044e-05 eta: 10:04:02 time: 0.0810 data_time: 0.0170 memory: 1684 loss: 1.3592 2023/04/02 19:00:54 - mmengine - INFO - Epoch(train) [12][1500/5005] lr: 9.7044e-05 eta: 10:03:53 time: 0.0778 data_time: 0.0174 memory: 1684 loss: 1.2903 2023/04/02 19:01:02 - mmengine - INFO - Epoch(train) [12][1600/5005] lr: 9.7044e-05 eta: 10:03:44 time: 0.0767 data_time: 0.0174 memory: 1684 loss: 1.1336 2023/04/02 19:01:10 - mmengine - INFO - Epoch(train) [12][1700/5005] lr: 9.7044e-05 eta: 10:03:33 time: 0.0890 data_time: 0.0300 memory: 1684 loss: 1.2667 2023/04/02 19:01:18 - mmengine - INFO - Epoch(train) [12][1800/5005] lr: 9.7044e-05 eta: 10:03:23 time: 0.0843 data_time: 0.0175 memory: 1684 loss: 1.0398 2023/04/02 19:01:26 - mmengine - INFO - Epoch(train) [12][1900/5005] lr: 9.7044e-05 eta: 10:03:12 time: 0.0737 data_time: 0.0172 memory: 1684 loss: 1.2094 2023/04/02 19:01:30 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:01:34 - mmengine - INFO - Epoch(train) [12][2000/5005] lr: 9.7044e-05 eta: 10:03:01 time: 0.0786 data_time: 0.0172 memory: 1684 loss: 1.3045 2023/04/02 19:01:42 - mmengine - INFO - Epoch(train) [12][2100/5005] lr: 9.7044e-05 eta: 10:02:53 time: 0.0783 data_time: 0.0173 memory: 1684 loss: 1.1890 2023/04/02 19:01:50 - mmengine - INFO - Epoch(train) [12][2200/5005] lr: 9.7044e-05 eta: 10:02:46 time: 0.0770 data_time: 0.0176 memory: 1684 loss: 1.3608 2023/04/02 19:01:58 - mmengine - INFO - Epoch(train) [12][2300/5005] lr: 9.7044e-05 eta: 10:02:37 time: 0.0791 data_time: 0.0172 memory: 1684 loss: 1.2412 2023/04/02 19:02:07 - mmengine - INFO - Epoch(train) [12][2400/5005] lr: 9.7044e-05 eta: 10:02:31 time: 0.0817 data_time: 0.0195 memory: 1684 loss: 1.2147 2023/04/02 19:02:14 - mmengine - INFO - Epoch(train) [12][2500/5005] lr: 9.7044e-05 eta: 10:02:19 time: 0.0763 data_time: 0.0170 memory: 1684 loss: 1.1783 2023/04/02 19:02:23 - mmengine - INFO - Epoch(train) [12][2600/5005] lr: 9.7044e-05 eta: 10:02:11 time: 0.0936 data_time: 0.0302 memory: 1684 loss: 1.2716 2023/04/02 19:02:30 - mmengine - INFO - Epoch(train) [12][2700/5005] lr: 9.7044e-05 eta: 10:01:58 time: 0.0727 data_time: 0.0172 memory: 1684 loss: 1.3830 2023/04/02 19:02:38 - mmengine - INFO - Epoch(train) [12][2800/5005] lr: 9.7044e-05 eta: 10:01:48 time: 0.0752 data_time: 0.0168 memory: 1684 loss: 1.4387 2023/04/02 19:02:46 - mmengine - INFO - Epoch(train) [12][2900/5005] lr: 9.7044e-05 eta: 10:01:40 time: 0.0785 data_time: 0.0169 memory: 1684 loss: 1.2394 2023/04/02 19:02:50 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:02:55 - mmengine - INFO - Epoch(train) [12][3000/5005] lr: 9.7044e-05 eta: 10:01:33 time: 0.0774 data_time: 0.0170 memory: 1684 loss: 1.3209 2023/04/02 19:03:03 - mmengine - INFO - Epoch(train) [12][3100/5005] lr: 9.7044e-05 eta: 10:01:22 time: 0.0751 data_time: 0.0170 memory: 1684 loss: 1.3056 2023/04/02 19:03:10 - mmengine - INFO - Epoch(train) [12][3200/5005] lr: 9.7044e-05 eta: 10:01:11 time: 0.0858 data_time: 0.0181 memory: 1684 loss: 1.1173 2023/04/02 19:03:18 - mmengine - INFO - Epoch(train) [12][3300/5005] lr: 9.7044e-05 eta: 10:01:03 time: 0.0754 data_time: 0.0169 memory: 1684 loss: 1.3093 2023/04/02 19:03:26 - mmengine - INFO - Epoch(train) [12][3400/5005] lr: 9.7044e-05 eta: 10:00:52 time: 0.0756 data_time: 0.0169 memory: 1684 loss: 1.2291 2023/04/02 19:03:34 - mmengine - INFO - Epoch(train) [12][3500/5005] lr: 9.7044e-05 eta: 10:00:44 time: 0.0736 data_time: 0.0170 memory: 1684 loss: 1.1725 2023/04/02 19:03:42 - mmengine - INFO - Epoch(train) [12][3600/5005] lr: 9.7044e-05 eta: 10:00:33 time: 0.0793 data_time: 0.0170 memory: 1684 loss: 1.2851 2023/04/02 19:03:50 - mmengine - INFO - Epoch(train) [12][3700/5005] lr: 9.7044e-05 eta: 10:00:22 time: 0.0759 data_time: 0.0171 memory: 1684 loss: 0.9564 2023/04/02 19:03:58 - mmengine - INFO - Epoch(train) [12][3800/5005] lr: 9.7044e-05 eta: 10:00:11 time: 0.0771 data_time: 0.0170 memory: 1684 loss: 1.1610 2023/04/02 19:04:06 - mmengine - INFO - Epoch(train) [12][3900/5005] lr: 9.7044e-05 eta: 10:00:01 time: 0.0822 data_time: 0.0171 memory: 1684 loss: 1.2667 2023/04/02 19:04:10 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:04:14 - mmengine - INFO - Epoch(train) [12][4000/5005] lr: 9.7044e-05 eta: 9:59:53 time: 0.0915 data_time: 0.0168 memory: 1684 loss: 1.4337 2023/04/02 19:04:22 - mmengine - INFO - Epoch(train) [12][4100/5005] lr: 9.7044e-05 eta: 9:59:44 time: 0.0761 data_time: 0.0168 memory: 1684 loss: 1.3224 2023/04/02 19:04:30 - mmengine - INFO - Epoch(train) [12][4200/5005] lr: 9.7044e-05 eta: 9:59:32 time: 0.0757 data_time: 0.0171 memory: 1684 loss: 1.2335 2023/04/02 19:04:37 - mmengine - INFO - Epoch(train) [12][4300/5005] lr: 9.7044e-05 eta: 9:59:21 time: 0.0866 data_time: 0.0170 memory: 1684 loss: 1.1918 2023/04/02 19:04:45 - mmengine - INFO - Epoch(train) [12][4400/5005] lr: 9.7044e-05 eta: 9:59:11 time: 0.0773 data_time: 0.0169 memory: 1684 loss: 1.1654 2023/04/02 19:04:54 - mmengine - INFO - Epoch(train) [12][4500/5005] lr: 9.7044e-05 eta: 9:59:02 time: 0.0901 data_time: 0.0170 memory: 1684 loss: 1.1607 2023/04/02 19:05:02 - mmengine - INFO - Epoch(train) [12][4600/5005] lr: 9.7044e-05 eta: 9:58:56 time: 0.0887 data_time: 0.0170 memory: 1684 loss: 1.1757 2023/04/02 19:05:10 - mmengine - INFO - Epoch(train) [12][4700/5005] lr: 9.7044e-05 eta: 9:58:46 time: 0.0773 data_time: 0.0170 memory: 1684 loss: 1.3346 2023/04/02 19:05:18 - mmengine - INFO - Epoch(train) [12][4800/5005] lr: 9.7044e-05 eta: 9:58:37 time: 0.0791 data_time: 0.0176 memory: 1684 loss: 1.2758 2023/04/02 19:05:26 - mmengine - INFO - Epoch(train) [12][4900/5005] lr: 9.7044e-05 eta: 9:58:27 time: 0.0772 data_time: 0.0168 memory: 1684 loss: 1.2651 2023/04/02 19:05:29 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:05:34 - mmengine - INFO - Epoch(train) [12][5000/5005] lr: 9.7044e-05 eta: 9:58:18 time: 0.1042 data_time: 0.0177 memory: 1684 loss: 1.2311 2023/04/02 19:05:34 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:05:34 - mmengine - INFO - Saving checkpoint at 12 epochs 2023/04/02 19:05:41 - mmengine - INFO - Epoch(val) [12][100/196] eta: 0:00:04 time: 0.0338 data_time: 0.0083 memory: 1684 2023/04/02 19:05:53 - mmengine - INFO - Epoch(val) [12][196/196] qat.accuracy/top1: 69.3740 qat.accuracy/top5: 89.0420data_time: 0.0083 time: 0.0324 2023/04/02 19:05:58 - mmengine - INFO - Epoch(val) [12][100/196] eta: 0:00:03 time: 0.0353 data_time: 0.0072 memory: 513 2023/04/02 19:06:11 - mmengine - INFO - Epoch(val) [12][196/196] qat.accuracy/top1: 69.4060 qat.accuracy/top5: 88.9900data_time: 0.0072 time: 0.0341 2023/04/02 19:06:14 - mmengine - INFO - Epoch(val) [12][100/196] eta: 0:00:02 time: 0.0259 data_time: 0.0155 memory: 470 2023/04/02 19:06:26 - mmengine - INFO - Epoch(val) [12][196/196] original.accuracy/top1: 69.3020 original.accuracy/top5: 89.0560data_time: 0.0342 time: 0.0441 2023/04/02 19:06:35 - mmengine - INFO - Epoch(train) [13][ 100/5005] lr: 9.6489e-05 eta: 9:58:16 time: 0.0822 data_time: 0.0172 memory: 1735 loss: 1.1872 2023/04/02 19:06:44 - mmengine - INFO - Epoch(train) [13][ 200/5005] lr: 9.6489e-05 eta: 9:58:10 time: 0.0780 data_time: 0.0177 memory: 1735 loss: 1.3873 2023/04/02 19:06:52 - mmengine - INFO - Epoch(train) [13][ 300/5005] lr: 9.6489e-05 eta: 9:58:03 time: 0.0959 data_time: 0.0163 memory: 1735 loss: 1.1656 2023/04/02 19:07:00 - mmengine - INFO - Epoch(train) [13][ 400/5005] lr: 9.6489e-05 eta: 9:57:53 time: 0.0760 data_time: 0.0175 memory: 1735 loss: 1.3430 2023/04/02 19:07:08 - mmengine - INFO - Epoch(train) [13][ 500/5005] lr: 9.6489e-05 eta: 9:57:40 time: 0.0792 data_time: 0.0178 memory: 1684 loss: 1.1172 2023/04/02 19:07:16 - mmengine - INFO - Epoch(train) [13][ 600/5005] lr: 9.6489e-05 eta: 9:57:30 time: 0.0788 data_time: 0.0173 memory: 1684 loss: 1.2701 2023/04/02 19:07:24 - mmengine - INFO - Epoch(train) [13][ 700/5005] lr: 9.6489e-05 eta: 9:57:22 time: 0.0949 data_time: 0.0268 memory: 1684 loss: 1.2666 2023/04/02 19:07:32 - mmengine - INFO - Epoch(train) [13][ 800/5005] lr: 9.6489e-05 eta: 9:57:11 time: 0.0780 data_time: 0.0186 memory: 1684 loss: 1.1139 2023/04/02 19:07:39 - mmengine - INFO - Epoch(train) [13][ 900/5005] lr: 9.6489e-05 eta: 9:57:01 time: 0.0761 data_time: 0.0172 memory: 1684 loss: 1.2881 2023/04/02 19:07:42 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:07:47 - mmengine - INFO - Epoch(train) [13][1000/5005] lr: 9.6489e-05 eta: 9:56:50 time: 0.0754 data_time: 0.0171 memory: 1684 loss: 1.4469 2023/04/02 19:07:55 - mmengine - INFO - Epoch(train) [13][1100/5005] lr: 9.6489e-05 eta: 9:56:39 time: 0.0759 data_time: 0.0172 memory: 1684 loss: 1.4587 2023/04/02 19:08:03 - mmengine - INFO - Epoch(train) [13][1200/5005] lr: 9.6489e-05 eta: 9:56:31 time: 0.0906 data_time: 0.0171 memory: 1684 loss: 1.3280 2023/04/02 19:08:11 - mmengine - INFO - Epoch(train) [13][1300/5005] lr: 9.6489e-05 eta: 9:56:22 time: 0.0770 data_time: 0.0176 memory: 1684 loss: 1.2344 2023/04/02 19:08:19 - mmengine - INFO - Epoch(train) [13][1400/5005] lr: 9.6489e-05 eta: 9:56:14 time: 0.0782 data_time: 0.0172 memory: 1684 loss: 1.2658 2023/04/02 19:08:28 - mmengine - INFO - Epoch(train) [13][1500/5005] lr: 9.6489e-05 eta: 9:56:07 time: 0.0742 data_time: 0.0171 memory: 1684 loss: 1.1390 2023/04/02 19:08:35 - mmengine - INFO - Epoch(train) [13][1600/5005] lr: 9.6489e-05 eta: 9:55:55 time: 0.0745 data_time: 0.0171 memory: 1684 loss: 1.1946 2023/04/02 19:08:43 - mmengine - INFO - Epoch(train) [13][1700/5005] lr: 9.6489e-05 eta: 9:55:43 time: 0.0844 data_time: 0.0170 memory: 1684 loss: 1.3262 2023/04/02 19:08:51 - mmengine - INFO - Epoch(train) [13][1800/5005] lr: 9.6489e-05 eta: 9:55:31 time: 0.0782 data_time: 0.0171 memory: 1684 loss: 1.2183 2023/04/02 19:08:59 - mmengine - INFO - Epoch(train) [13][1900/5005] lr: 9.6489e-05 eta: 9:55:22 time: 0.0751 data_time: 0.0169 memory: 1684 loss: 1.2589 2023/04/02 19:09:02 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:09:06 - mmengine - INFO - Epoch(train) [13][2000/5005] lr: 9.6489e-05 eta: 9:55:10 time: 0.0861 data_time: 0.0280 memory: 1684 loss: 1.3729 2023/04/02 19:09:14 - mmengine - INFO - Epoch(train) [13][2100/5005] lr: 9.6489e-05 eta: 9:55:02 time: 0.0759 data_time: 0.0171 memory: 1684 loss: 1.3226 2023/04/02 19:09:22 - mmengine - INFO - Epoch(train) [13][2200/5005] lr: 9.6489e-05 eta: 9:54:49 time: 0.0744 data_time: 0.0169 memory: 1684 loss: 1.2994 2023/04/02 19:09:30 - mmengine - INFO - Epoch(train) [13][2300/5005] lr: 9.6489e-05 eta: 9:54:40 time: 0.0761 data_time: 0.0173 memory: 1684 loss: 1.3172 2023/04/02 19:09:38 - mmengine - INFO - Epoch(train) [13][2400/5005] lr: 9.6489e-05 eta: 9:54:32 time: 0.0773 data_time: 0.0167 memory: 1684 loss: 1.2145 2023/04/02 19:09:46 - mmengine - INFO - Epoch(train) [13][2500/5005] lr: 9.6489e-05 eta: 9:54:23 time: 0.0746 data_time: 0.0169 memory: 1684 loss: 1.3002 2023/04/02 19:09:54 - mmengine - INFO - Epoch(train) [13][2600/5005] lr: 9.6489e-05 eta: 9:54:14 time: 0.0759 data_time: 0.0170 memory: 1684 loss: 1.6724 2023/04/02 19:10:02 - mmengine - INFO - Epoch(train) [13][2700/5005] lr: 9.6489e-05 eta: 9:54:02 time: 0.0744 data_time: 0.0169 memory: 1684 loss: 1.3512 2023/04/02 19:10:09 - mmengine - INFO - Epoch(train) [13][2800/5005] lr: 9.6489e-05 eta: 9:53:50 time: 0.0759 data_time: 0.0169 memory: 1684 loss: 1.2604 2023/04/02 19:10:17 - mmengine - INFO - Epoch(train) [13][2900/5005] lr: 9.6489e-05 eta: 9:53:38 time: 0.0756 data_time: 0.0170 memory: 1684 loss: 1.2637 2023/04/02 19:10:20 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:10:25 - mmengine - INFO - Epoch(train) [13][3000/5005] lr: 9.6489e-05 eta: 9:53:27 time: 0.0727 data_time: 0.0168 memory: 1684 loss: 1.2562 2023/04/02 19:10:33 - mmengine - INFO - Epoch(train) [13][3100/5005] lr: 9.6489e-05 eta: 9:53:18 time: 0.0761 data_time: 0.0170 memory: 1684 loss: 1.1370 2023/04/02 19:10:41 - mmengine - INFO - Epoch(train) [13][3200/5005] lr: 9.6489e-05 eta: 9:53:08 time: 0.0768 data_time: 0.0164 memory: 1684 loss: 1.2964 2023/04/02 19:10:49 - mmengine - INFO - Epoch(train) [13][3300/5005] lr: 9.6489e-05 eta: 9:52:58 time: 0.0747 data_time: 0.0169 memory: 1684 loss: 1.4797 2023/04/02 19:10:57 - mmengine - INFO - Epoch(train) [13][3400/5005] lr: 9.6489e-05 eta: 9:52:48 time: 0.0920 data_time: 0.0169 memory: 1684 loss: 1.3045 2023/04/02 19:11:04 - mmengine - INFO - Epoch(train) [13][3500/5005] lr: 9.6489e-05 eta: 9:52:38 time: 0.0763 data_time: 0.0170 memory: 1684 loss: 1.3189 2023/04/02 19:11:12 - mmengine - INFO - Epoch(train) [13][3600/5005] lr: 9.6489e-05 eta: 9:52:28 time: 0.0808 data_time: 0.0169 memory: 1684 loss: 1.4166 2023/04/02 19:11:21 - mmengine - INFO - Epoch(train) [13][3700/5005] lr: 9.6489e-05 eta: 9:52:22 time: 0.0768 data_time: 0.0170 memory: 1684 loss: 1.4509 2023/04/02 19:11:29 - mmengine - INFO - Epoch(train) [13][3800/5005] lr: 9.6489e-05 eta: 9:52:13 time: 0.0776 data_time: 0.0170 memory: 1684 loss: 1.0961 2023/04/02 19:11:37 - mmengine - INFO - Epoch(train) [13][3900/5005] lr: 9.6489e-05 eta: 9:52:03 time: 0.0842 data_time: 0.0171 memory: 1684 loss: 1.2285 2023/04/02 19:11:40 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:11:45 - mmengine - INFO - Epoch(train) [13][4000/5005] lr: 9.6489e-05 eta: 9:51:54 time: 0.0826 data_time: 0.0171 memory: 1684 loss: 1.2790 2023/04/02 19:11:52 - mmengine - INFO - Epoch(train) [13][4100/5005] lr: 9.6489e-05 eta: 9:51:43 time: 0.0746 data_time: 0.0168 memory: 1684 loss: 1.3936 2023/04/02 19:12:01 - mmengine - INFO - Epoch(train) [13][4200/5005] lr: 9.6489e-05 eta: 9:51:34 time: 0.0760 data_time: 0.0172 memory: 1684 loss: 1.2315 2023/04/02 19:12:08 - mmengine - INFO - Epoch(train) [13][4300/5005] lr: 9.6489e-05 eta: 9:51:24 time: 0.0754 data_time: 0.0166 memory: 1684 loss: 1.1335 2023/04/02 19:12:16 - mmengine - INFO - Epoch(train) [13][4400/5005] lr: 9.6489e-05 eta: 9:51:12 time: 0.0754 data_time: 0.0171 memory: 1684 loss: 1.1995 2023/04/02 19:12:24 - mmengine - INFO - Epoch(train) [13][4500/5005] lr: 9.6489e-05 eta: 9:51:03 time: 0.0776 data_time: 0.0163 memory: 1684 loss: 1.3134 2023/04/02 19:12:32 - mmengine - INFO - Epoch(train) [13][4600/5005] lr: 9.6489e-05 eta: 9:50:54 time: 0.0774 data_time: 0.0172 memory: 1684 loss: 1.4141 2023/04/02 19:12:40 - mmengine - INFO - Epoch(train) [13][4700/5005] lr: 9.6489e-05 eta: 9:50:45 time: 0.0894 data_time: 0.0171 memory: 1684 loss: 1.2288 2023/04/02 19:12:48 - mmengine - INFO - Epoch(train) [13][4800/5005] lr: 9.6489e-05 eta: 9:50:38 time: 0.0749 data_time: 0.0171 memory: 1684 loss: 1.2725 2023/04/02 19:12:56 - mmengine - INFO - Epoch(train) [13][4900/5005] lr: 9.6489e-05 eta: 9:50:28 time: 0.0763 data_time: 0.0179 memory: 1684 loss: 1.3142 2023/04/02 19:12:59 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:13:04 - mmengine - INFO - Epoch(train) [13][5000/5005] lr: 9.6489e-05 eta: 9:50:16 time: 0.0755 data_time: 0.0173 memory: 1684 loss: 1.2298 2023/04/02 19:13:04 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:13:04 - mmengine - INFO - Saving checkpoint at 13 epochs 2023/04/02 19:13:10 - mmengine - INFO - Epoch(val) [13][100/196] eta: 0:00:04 time: 0.0334 data_time: 0.0082 memory: 1684 2023/04/02 19:13:23 - mmengine - INFO - Epoch(val) [13][196/196] qat.accuracy/top1: 69.4740 qat.accuracy/top5: 89.0260data_time: 0.0069 time: 0.0309 2023/04/02 19:13:27 - mmengine - INFO - Epoch(val) [13][100/196] eta: 0:00:03 time: 0.0347 data_time: 0.0070 memory: 513 2023/04/02 19:13:40 - mmengine - INFO - Epoch(val) [13][196/196] qat.accuracy/top1: 69.4660 qat.accuracy/top5: 89.0320data_time: 0.0071 time: 0.0338 2023/04/02 19:13:43 - mmengine - INFO - Epoch(val) [13][100/196] eta: 0:00:02 time: 0.0235 data_time: 0.0130 memory: 470 2023/04/02 19:13:56 - mmengine - INFO - Epoch(val) [13][196/196] original.accuracy/top1: 69.3040 original.accuracy/top5: 89.0440data_time: 0.0326 time: 0.0425 2023/04/02 19:14:04 - mmengine - INFO - Epoch(train) [14][ 100/5005] lr: 9.5888e-05 eta: 9:50:11 time: 0.0778 data_time: 0.0172 memory: 1735 loss: 1.2742 2023/04/02 19:14:12 - mmengine - INFO - Epoch(train) [14][ 200/5005] lr: 9.5888e-05 eta: 9:50:02 time: 0.0758 data_time: 0.0171 memory: 1735 loss: 1.2226 2023/04/02 19:14:20 - mmengine - INFO - Epoch(train) [14][ 300/5005] lr: 9.5888e-05 eta: 9:49:52 time: 0.0787 data_time: 0.0170 memory: 1735 loss: 0.9918 2023/04/02 19:14:28 - mmengine - INFO - Epoch(train) [14][ 400/5005] lr: 9.5888e-05 eta: 9:49:44 time: 0.0774 data_time: 0.0171 memory: 1735 loss: 1.2791 2023/04/02 19:14:37 - mmengine - INFO - Epoch(train) [14][ 500/5005] lr: 9.5888e-05 eta: 9:49:36 time: 0.0823 data_time: 0.0173 memory: 1735 loss: 1.4563 2023/04/02 19:14:45 - mmengine - INFO - Epoch(train) [14][ 600/5005] lr: 9.5888e-05 eta: 9:49:29 time: 0.0918 data_time: 0.0174 memory: 1735 loss: 1.0699 2023/04/02 19:14:53 - mmengine - INFO - Epoch(train) [14][ 700/5005] lr: 9.5888e-05 eta: 9:49:19 time: 0.0888 data_time: 0.0169 memory: 1735 loss: 1.1274 2023/04/02 19:15:00 - mmengine - INFO - Epoch(train) [14][ 800/5005] lr: 9.5888e-05 eta: 9:49:07 time: 0.0775 data_time: 0.0167 memory: 1735 loss: 1.3153 2023/04/02 19:15:08 - mmengine - INFO - Epoch(train) [14][ 900/5005] lr: 9.5888e-05 eta: 9:48:55 time: 0.0763 data_time: 0.0172 memory: 1735 loss: 1.3031 2023/04/02 19:15:11 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:15:16 - mmengine - INFO - Epoch(train) [14][1000/5005] lr: 9.5888e-05 eta: 9:48:45 time: 0.0770 data_time: 0.0168 memory: 1684 loss: 1.1953 2023/04/02 19:15:24 - mmengine - INFO - Epoch(train) [14][1100/5005] lr: 9.5888e-05 eta: 9:48:35 time: 0.0849 data_time: 0.0170 memory: 1684 loss: 1.2278 2023/04/02 19:15:32 - mmengine - INFO - Epoch(train) [14][1200/5005] lr: 9.5888e-05 eta: 9:48:25 time: 0.0775 data_time: 0.0184 memory: 1684 loss: 1.3522 2023/04/02 19:15:39 - mmengine - INFO - Epoch(train) [14][1300/5005] lr: 9.5888e-05 eta: 9:48:15 time: 0.0769 data_time: 0.0168 memory: 1684 loss: 1.4563 2023/04/02 19:15:47 - mmengine - INFO - Epoch(train) [14][1400/5005] lr: 9.5888e-05 eta: 9:48:05 time: 0.0758 data_time: 0.0164 memory: 1684 loss: 1.4919 2023/04/02 19:15:55 - mmengine - INFO - Epoch(train) [14][1500/5005] lr: 9.5888e-05 eta: 9:47:55 time: 0.0836 data_time: 0.0171 memory: 1684 loss: 1.2054 2023/04/02 19:16:03 - mmengine - INFO - Epoch(train) [14][1600/5005] lr: 9.5888e-05 eta: 9:47:46 time: 0.0771 data_time: 0.0175 memory: 1684 loss: 1.3090 2023/04/02 19:16:11 - mmengine - INFO - Epoch(train) [14][1700/5005] lr: 9.5888e-05 eta: 9:47:37 time: 0.0757 data_time: 0.0171 memory: 1684 loss: 1.2839 2023/04/02 19:16:19 - mmengine - INFO - Epoch(train) [14][1800/5005] lr: 9.5888e-05 eta: 9:47:28 time: 0.0764 data_time: 0.0171 memory: 1684 loss: 1.3912 2023/04/02 19:16:27 - mmengine - INFO - Epoch(train) [14][1900/5005] lr: 9.5888e-05 eta: 9:47:16 time: 0.0765 data_time: 0.0170 memory: 1684 loss: 1.3896 2023/04/02 19:16:30 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:16:35 - mmengine - INFO - Epoch(train) [14][2000/5005] lr: 9.5888e-05 eta: 9:47:06 time: 0.0751 data_time: 0.0169 memory: 1684 loss: 1.1423 2023/04/02 19:16:43 - mmengine - INFO - Epoch(train) [14][2100/5005] lr: 9.5888e-05 eta: 9:46:56 time: 0.0770 data_time: 0.0168 memory: 1684 loss: 1.2568 2023/04/02 19:16:50 - mmengine - INFO - Epoch(train) [14][2200/5005] lr: 9.5888e-05 eta: 9:46:45 time: 0.0764 data_time: 0.0170 memory: 1684 loss: 1.2343 2023/04/02 19:16:58 - mmengine - INFO - Epoch(train) [14][2300/5005] lr: 9.5888e-05 eta: 9:46:35 time: 0.0955 data_time: 0.0168 memory: 1684 loss: 1.5361 2023/04/02 19:17:06 - mmengine - INFO - Epoch(train) [14][2400/5005] lr: 9.5888e-05 eta: 9:46:27 time: 0.0986 data_time: 0.0169 memory: 1684 loss: 1.2059 2023/04/02 19:17:14 - mmengine - INFO - Epoch(train) [14][2500/5005] lr: 9.5888e-05 eta: 9:46:16 time: 0.0809 data_time: 0.0168 memory: 1684 loss: 1.3041 2023/04/02 19:17:22 - mmengine - INFO - Epoch(train) [14][2600/5005] lr: 9.5888e-05 eta: 9:46:09 time: 0.0769 data_time: 0.0170 memory: 1684 loss: 1.0881 2023/04/02 19:17:30 - mmengine - INFO - Epoch(train) [14][2700/5005] lr: 9.5888e-05 eta: 9:45:59 time: 0.0861 data_time: 0.0169 memory: 1684 loss: 1.2942 2023/04/02 19:17:38 - mmengine - INFO - Epoch(train) [14][2800/5005] lr: 9.5888e-05 eta: 9:45:49 time: 0.0850 data_time: 0.0170 memory: 1684 loss: 1.1153 2023/04/02 19:17:46 - mmengine - INFO - Epoch(train) [14][2900/5005] lr: 9.5888e-05 eta: 9:45:39 time: 0.0771 data_time: 0.0168 memory: 1684 loss: 1.3312 2023/04/02 19:17:49 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:17:54 - mmengine - INFO - Epoch(train) [14][3000/5005] lr: 9.5888e-05 eta: 9:45:28 time: 0.0745 data_time: 0.0168 memory: 1684 loss: 1.3492 2023/04/02 19:18:01 - mmengine - INFO - Epoch(train) [14][3100/5005] lr: 9.5888e-05 eta: 9:45:17 time: 0.0844 data_time: 0.0170 memory: 1684 loss: 1.0248 2023/04/02 19:18:09 - mmengine - INFO - Epoch(train) [14][3200/5005] lr: 9.5888e-05 eta: 9:45:06 time: 0.0790 data_time: 0.0169 memory: 1684 loss: 1.4315 2023/04/02 19:18:17 - mmengine - INFO - Epoch(train) [14][3300/5005] lr: 9.5888e-05 eta: 9:44:56 time: 0.0777 data_time: 0.0172 memory: 1684 loss: 1.3166 2023/04/02 19:18:25 - mmengine - INFO - Epoch(train) [14][3400/5005] lr: 9.5888e-05 eta: 9:44:47 time: 0.0754 data_time: 0.0177 memory: 1684 loss: 1.2247 2023/04/02 19:18:33 - mmengine - INFO - Epoch(train) [14][3500/5005] lr: 9.5888e-05 eta: 9:44:38 time: 0.0799 data_time: 0.0168 memory: 1684 loss: 1.2623 2023/04/02 19:18:41 - mmengine - INFO - Epoch(train) [14][3600/5005] lr: 9.5888e-05 eta: 9:44:30 time: 0.0935 data_time: 0.0171 memory: 1684 loss: 1.1270 2023/04/02 19:18:49 - mmengine - INFO - Epoch(train) [14][3700/5005] lr: 9.5888e-05 eta: 9:44:21 time: 0.0742 data_time: 0.0171 memory: 1684 loss: 1.4023 2023/04/02 19:18:57 - mmengine - INFO - Epoch(train) [14][3800/5005] lr: 9.5888e-05 eta: 9:44:13 time: 0.0863 data_time: 0.0176 memory: 1684 loss: 1.2711 2023/04/02 19:19:05 - mmengine - INFO - Epoch(train) [14][3900/5005] lr: 9.5888e-05 eta: 9:44:04 time: 0.0770 data_time: 0.0169 memory: 1684 loss: 1.3510 2023/04/02 19:19:08 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:19:13 - mmengine - INFO - Epoch(train) [14][4000/5005] lr: 9.5888e-05 eta: 9:43:55 time: 0.0767 data_time: 0.0167 memory: 1684 loss: 1.1321 2023/04/02 19:19:21 - mmengine - INFO - Epoch(train) [14][4100/5005] lr: 9.5888e-05 eta: 9:43:46 time: 0.0756 data_time: 0.0169 memory: 1684 loss: 1.2937 2023/04/02 19:19:29 - mmengine - INFO - Epoch(train) [14][4200/5005] lr: 9.5888e-05 eta: 9:43:35 time: 0.0750 data_time: 0.0172 memory: 1684 loss: 1.2570 2023/04/02 19:19:37 - mmengine - INFO - Epoch(train) [14][4300/5005] lr: 9.5888e-05 eta: 9:43:24 time: 0.0761 data_time: 0.0165 memory: 1684 loss: 1.2256 2023/04/02 19:19:45 - mmengine - INFO - Epoch(train) [14][4400/5005] lr: 9.5888e-05 eta: 9:43:16 time: 0.0897 data_time: 0.0173 memory: 1684 loss: 1.1077 2023/04/02 19:19:52 - mmengine - INFO - Epoch(train) [14][4500/5005] lr: 9.5888e-05 eta: 9:43:06 time: 0.0758 data_time: 0.0169 memory: 1684 loss: 1.2461 2023/04/02 19:20:00 - mmengine - INFO - Epoch(train) [14][4600/5005] lr: 9.5888e-05 eta: 9:42:56 time: 0.0862 data_time: 0.0171 memory: 1684 loss: 1.2199 2023/04/02 19:20:08 - mmengine - INFO - Epoch(train) [14][4700/5005] lr: 9.5888e-05 eta: 9:42:46 time: 0.0782 data_time: 0.0170 memory: 1684 loss: 1.1570 2023/04/02 19:20:16 - mmengine - INFO - Epoch(train) [14][4800/5005] lr: 9.5888e-05 eta: 9:42:36 time: 0.0743 data_time: 0.0165 memory: 1684 loss: 1.3350 2023/04/02 19:20:24 - mmengine - INFO - Epoch(train) [14][4900/5005] lr: 9.5888e-05 eta: 9:42:27 time: 0.0885 data_time: 0.0171 memory: 1684 loss: 1.1441 2023/04/02 19:20:27 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:20:32 - mmengine - INFO - Epoch(train) [14][5000/5005] lr: 9.5888e-05 eta: 9:42:19 time: 0.0894 data_time: 0.0178 memory: 1684 loss: 1.0344 2023/04/02 19:20:33 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:20:33 - mmengine - INFO - Saving checkpoint at 14 epochs 2023/04/02 19:20:38 - mmengine - INFO - Epoch(val) [14][100/196] eta: 0:00:03 time: 0.0351 data_time: 0.0093 memory: 1684 2023/04/02 19:20:51 - mmengine - INFO - Epoch(val) [14][196/196] qat.accuracy/top1: 69.4660 qat.accuracy/top5: 88.9860data_time: 0.0066 time: 0.0304 2023/04/02 19:20:55 - mmengine - INFO - Epoch(val) [14][100/196] eta: 0:00:04 time: 0.0358 data_time: 0.0077 memory: 513 2023/04/02 19:21:08 - mmengine - INFO - Epoch(val) [14][196/196] qat.accuracy/top1: 69.4720 qat.accuracy/top5: 89.0080data_time: 0.0070 time: 0.0336 2023/04/02 19:21:11 - mmengine - INFO - Epoch(val) [14][100/196] eta: 0:00:02 time: 0.0243 data_time: 0.0136 memory: 470 2023/04/02 19:21:24 - mmengine - INFO - Epoch(val) [14][196/196] original.accuracy/top1: 69.4440 original.accuracy/top5: 88.9800data_time: 0.0347 time: 0.0443 2023/04/02 19:21:33 - mmengine - INFO - Epoch(train) [15][ 100/5005] lr: 9.5241e-05 eta: 9:42:21 time: 0.0824 data_time: 0.0169 memory: 1735 loss: 1.1767 2023/04/02 19:21:42 - mmengine - INFO - Epoch(train) [15][ 200/5005] lr: 9.5241e-05 eta: 9:42:15 time: 0.0800 data_time: 0.0181 memory: 1735 loss: 1.1748 2023/04/02 19:21:50 - mmengine - INFO - Epoch(train) [15][ 300/5005] lr: 9.5241e-05 eta: 9:42:06 time: 0.0765 data_time: 0.0173 memory: 1684 loss: 1.2320 2023/04/02 19:21:58 - mmengine - INFO - Epoch(train) [15][ 400/5005] lr: 9.5241e-05 eta: 9:41:59 time: 0.0895 data_time: 0.0174 memory: 1684 loss: 1.1614 2023/04/02 19:22:06 - mmengine - INFO - Epoch(train) [15][ 500/5005] lr: 9.5241e-05 eta: 9:41:48 time: 0.0756 data_time: 0.0171 memory: 1684 loss: 1.1456 2023/04/02 19:22:14 - mmengine - INFO - Epoch(train) [15][ 600/5005] lr: 9.5241e-05 eta: 9:41:38 time: 0.0777 data_time: 0.0173 memory: 1684 loss: 1.1381 2023/04/02 19:22:22 - mmengine - INFO - Epoch(train) [15][ 700/5005] lr: 9.5241e-05 eta: 9:41:28 time: 0.0901 data_time: 0.0169 memory: 1684 loss: 1.4385 2023/04/02 19:22:30 - mmengine - INFO - Epoch(train) [15][ 800/5005] lr: 9.5241e-05 eta: 9:41:19 time: 0.0760 data_time: 0.0171 memory: 1684 loss: 1.1894 2023/04/02 19:22:37 - mmengine - INFO - Epoch(train) [15][ 900/5005] lr: 9.5241e-05 eta: 9:41:09 time: 0.0823 data_time: 0.0170 memory: 1684 loss: 1.2226 2023/04/02 19:22:40 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:22:46 - mmengine - INFO - Epoch(train) [15][1000/5005] lr: 9.5241e-05 eta: 9:41:04 time: 0.0779 data_time: 0.0170 memory: 1684 loss: 1.2588 2023/04/02 19:22:54 - mmengine - INFO - Epoch(train) [15][1100/5005] lr: 9.5241e-05 eta: 9:40:52 time: 0.0777 data_time: 0.0173 memory: 1684 loss: 1.2730 2023/04/02 19:23:01 - mmengine - INFO - Epoch(train) [15][1200/5005] lr: 9.5241e-05 eta: 9:40:42 time: 0.0755 data_time: 0.0173 memory: 1684 loss: 1.3008 2023/04/02 19:23:09 - mmengine - INFO - Epoch(train) [15][1300/5005] lr: 9.5241e-05 eta: 9:40:31 time: 0.0749 data_time: 0.0171 memory: 1684 loss: 1.1936 2023/04/02 19:23:17 - mmengine - INFO - Epoch(train) [15][1400/5005] lr: 9.5241e-05 eta: 9:40:22 time: 0.0760 data_time: 0.0171 memory: 1684 loss: 1.1683 2023/04/02 19:23:25 - mmengine - INFO - Epoch(train) [15][1500/5005] lr: 9.5241e-05 eta: 9:40:12 time: 0.0883 data_time: 0.0172 memory: 1684 loss: 1.2573 2023/04/02 19:23:33 - mmengine - INFO - Epoch(train) [15][1600/5005] lr: 9.5241e-05 eta: 9:40:02 time: 0.0766 data_time: 0.0169 memory: 1684 loss: 1.2769 2023/04/02 19:23:41 - mmengine - INFO - Epoch(train) [15][1700/5005] lr: 9.5241e-05 eta: 9:39:53 time: 0.0760 data_time: 0.0173 memory: 1684 loss: 1.1323 2023/04/02 19:23:49 - mmengine - INFO - Epoch(train) [15][1800/5005] lr: 9.5241e-05 eta: 9:39:43 time: 0.0754 data_time: 0.0170 memory: 1684 loss: 1.3590 2023/04/02 19:23:56 - mmengine - INFO - Epoch(train) [15][1900/5005] lr: 9.5241e-05 eta: 9:39:33 time: 0.0774 data_time: 0.0190 memory: 1684 loss: 1.2428 2023/04/02 19:23:59 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:24:04 - mmengine - INFO - Epoch(train) [15][2000/5005] lr: 9.5241e-05 eta: 9:39:23 time: 0.0732 data_time: 0.0171 memory: 1684 loss: 1.1621 2023/04/02 19:24:12 - mmengine - INFO - Epoch(train) [15][2100/5005] lr: 9.5241e-05 eta: 9:39:15 time: 0.0764 data_time: 0.0174 memory: 1684 loss: 1.2582 2023/04/02 19:24:21 - mmengine - INFO - Epoch(train) [15][2200/5005] lr: 9.5241e-05 eta: 9:39:07 time: 0.0751 data_time: 0.0175 memory: 1684 loss: 1.1871 2023/04/02 19:24:29 - mmengine - INFO - Epoch(train) [15][2300/5005] lr: 9.5241e-05 eta: 9:38:59 time: 0.0853 data_time: 0.0179 memory: 1684 loss: 1.4232 2023/04/02 19:24:37 - mmengine - INFO - Epoch(train) [15][2400/5005] lr: 9.5241e-05 eta: 9:38:50 time: 0.0793 data_time: 0.0175 memory: 1684 loss: 1.1653 2023/04/02 19:24:45 - mmengine - INFO - Epoch(train) [15][2500/5005] lr: 9.5241e-05 eta: 9:38:40 time: 0.0882 data_time: 0.0177 memory: 1684 loss: 1.2885 2023/04/02 19:24:52 - mmengine - INFO - Epoch(train) [15][2600/5005] lr: 9.5241e-05 eta: 9:38:30 time: 0.0752 data_time: 0.0174 memory: 1684 loss: 1.1103 2023/04/02 19:25:00 - mmengine - INFO - Epoch(train) [15][2700/5005] lr: 9.5241e-05 eta: 9:38:21 time: 0.0773 data_time: 0.0170 memory: 1684 loss: 1.2076 2023/04/02 19:25:08 - mmengine - INFO - Epoch(train) [15][2800/5005] lr: 9.5241e-05 eta: 9:38:12 time: 0.0778 data_time: 0.0179 memory: 1684 loss: 1.1989 2023/04/02 19:25:16 - mmengine - INFO - Epoch(train) [15][2900/5005] lr: 9.5241e-05 eta: 9:38:04 time: 0.0908 data_time: 0.0177 memory: 1684 loss: 1.2205 2023/04/02 19:25:19 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:25:25 - mmengine - INFO - Epoch(train) [15][3000/5005] lr: 9.5241e-05 eta: 9:37:56 time: 0.0766 data_time: 0.0179 memory: 1684 loss: 1.2239 2023/04/02 19:25:33 - mmengine - INFO - Epoch(train) [15][3100/5005] lr: 9.5241e-05 eta: 9:37:48 time: 0.0786 data_time: 0.0181 memory: 1684 loss: 1.2045 2023/04/02 19:25:41 - mmengine - INFO - Epoch(train) [15][3200/5005] lr: 9.5241e-05 eta: 9:37:40 time: 0.0763 data_time: 0.0180 memory: 1684 loss: 1.2622 2023/04/02 19:25:49 - mmengine - INFO - Epoch(train) [15][3300/5005] lr: 9.5241e-05 eta: 9:37:29 time: 0.0752 data_time: 0.0190 memory: 1684 loss: 1.4690 2023/04/02 19:25:57 - mmengine - INFO - Epoch(train) [15][3400/5005] lr: 9.5241e-05 eta: 9:37:21 time: 0.0772 data_time: 0.0175 memory: 1684 loss: 1.2954 2023/04/02 19:26:05 - mmengine - INFO - Epoch(train) [15][3500/5005] lr: 9.5241e-05 eta: 9:37:12 time: 0.0815 data_time: 0.0182 memory: 1684 loss: 1.3067 2023/04/02 19:26:12 - mmengine - INFO - Epoch(train) [15][3600/5005] lr: 9.5241e-05 eta: 9:37:02 time: 0.0747 data_time: 0.0174 memory: 1684 loss: 1.3294 2023/04/02 19:26:20 - mmengine - INFO - Epoch(train) [15][3700/5005] lr: 9.5241e-05 eta: 9:36:52 time: 0.0759 data_time: 0.0177 memory: 1684 loss: 1.5141 2023/04/02 19:26:28 - mmengine - INFO - Epoch(train) [15][3800/5005] lr: 9.5241e-05 eta: 9:36:44 time: 0.0796 data_time: 0.0183 memory: 1684 loss: 1.1890 2023/04/02 19:26:36 - mmengine - INFO - Epoch(train) [15][3900/5005] lr: 9.5241e-05 eta: 9:36:34 time: 0.0791 data_time: 0.0174 memory: 1684 loss: 1.1631 2023/04/02 19:26:39 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:26:44 - mmengine - INFO - Epoch(train) [15][4000/5005] lr: 9.5241e-05 eta: 9:36:23 time: 0.0734 data_time: 0.0174 memory: 1684 loss: 1.5575 2023/04/02 19:26:52 - mmengine - INFO - Epoch(train) [15][4100/5005] lr: 9.5241e-05 eta: 9:36:13 time: 0.0748 data_time: 0.0181 memory: 1684 loss: 1.1865 2023/04/02 19:26:59 - mmengine - INFO - Epoch(train) [15][4200/5005] lr: 9.5241e-05 eta: 9:36:03 time: 0.0753 data_time: 0.0186 memory: 1684 loss: 1.1947 2023/04/02 19:27:07 - mmengine - INFO - Epoch(train) [15][4300/5005] lr: 9.5241e-05 eta: 9:35:53 time: 0.0801 data_time: 0.0171 memory: 1684 loss: 1.2929 2023/04/02 19:27:16 - mmengine - INFO - Epoch(train) [15][4400/5005] lr: 9.5241e-05 eta: 9:35:46 time: 0.0794 data_time: 0.0175 memory: 1684 loss: 1.2269 2023/04/02 19:27:24 - mmengine - INFO - Epoch(train) [15][4500/5005] lr: 9.5241e-05 eta: 9:35:38 time: 0.0824 data_time: 0.0172 memory: 1684 loss: 1.3850 2023/04/02 19:27:31 - mmengine - INFO - Epoch(train) [15][4600/5005] lr: 9.5241e-05 eta: 9:35:26 time: 0.0741 data_time: 0.0180 memory: 1684 loss: 1.2163 2023/04/02 19:27:39 - mmengine - INFO - Epoch(train) [15][4700/5005] lr: 9.5241e-05 eta: 9:35:16 time: 0.0744 data_time: 0.0177 memory: 1684 loss: 1.1793 2023/04/02 19:27:47 - mmengine - INFO - Epoch(train) [15][4800/5005] lr: 9.5241e-05 eta: 9:35:05 time: 0.0762 data_time: 0.0172 memory: 1684 loss: 1.3424 2023/04/02 19:27:55 - mmengine - INFO - Epoch(train) [15][4900/5005] lr: 9.5241e-05 eta: 9:34:57 time: 0.0878 data_time: 0.0173 memory: 1684 loss: 1.2485 2023/04/02 19:27:57 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:28:02 - mmengine - INFO - Epoch(train) [15][5000/5005] lr: 9.5241e-05 eta: 9:34:46 time: 0.0758 data_time: 0.0181 memory: 1684 loss: 1.1611 2023/04/02 19:28:03 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:28:03 - mmengine - INFO - Saving checkpoint at 15 epochs 2023/04/02 19:28:08 - mmengine - INFO - Epoch(val) [15][100/196] eta: 0:00:03 time: 0.0337 data_time: 0.0077 memory: 1684 2023/04/02 19:28:21 - mmengine - INFO - Epoch(val) [15][196/196] qat.accuracy/top1: 69.5380 qat.accuracy/top5: 89.0760data_time: 0.0220 time: 0.0463 2023/04/02 19:28:26 - mmengine - INFO - Epoch(val) [15][100/196] eta: 0:00:03 time: 0.0377 data_time: 0.0088 memory: 513 2023/04/02 19:28:39 - mmengine - INFO - Epoch(val) [15][196/196] qat.accuracy/top1: 69.5120 qat.accuracy/top5: 89.0860data_time: 0.0072 time: 0.0332 2023/04/02 19:28:42 - mmengine - INFO - Epoch(val) [15][100/196] eta: 0:00:02 time: 0.0237 data_time: 0.0136 memory: 470 2023/04/02 19:28:54 - mmengine - INFO - Epoch(val) [15][196/196] original.accuracy/top1: 69.4620 original.accuracy/top5: 88.9940data_time: 0.0449 time: 0.0545 2023/04/02 19:29:03 - mmengine - INFO - Epoch(train) [16][ 100/5005] lr: 9.4550e-05 eta: 9:34:40 time: 0.0922 data_time: 0.0178 memory: 1735 loss: 1.1933 2023/04/02 19:29:12 - mmengine - INFO - Epoch(train) [16][ 200/5005] lr: 9.4550e-05 eta: 9:34:37 time: 0.0876 data_time: 0.0176 memory: 1735 loss: 1.3454 2023/04/02 19:29:19 - mmengine - INFO - Epoch(train) [16][ 300/5005] lr: 9.4550e-05 eta: 9:34:26 time: 0.0783 data_time: 0.0192 memory: 1684 loss: 1.3154 2023/04/02 19:29:27 - mmengine - INFO - Epoch(train) [16][ 400/5005] lr: 9.4550e-05 eta: 9:34:15 time: 0.0758 data_time: 0.0191 memory: 1684 loss: 1.2061 2023/04/02 19:29:35 - mmengine - INFO - Epoch(train) [16][ 500/5005] lr: 9.4550e-05 eta: 9:34:06 time: 0.0743 data_time: 0.0168 memory: 1684 loss: 1.4297 2023/04/02 19:29:43 - mmengine - INFO - Epoch(train) [16][ 600/5005] lr: 9.4550e-05 eta: 9:33:58 time: 0.0814 data_time: 0.0189 memory: 1684 loss: 1.3439 2023/04/02 19:29:51 - mmengine - INFO - Epoch(train) [16][ 700/5005] lr: 9.4550e-05 eta: 9:33:50 time: 0.0781 data_time: 0.0177 memory: 1684 loss: 1.4018 2023/04/02 19:30:00 - mmengine - INFO - Epoch(train) [16][ 800/5005] lr: 9.4550e-05 eta: 9:33:43 time: 0.0765 data_time: 0.0181 memory: 1684 loss: 1.3600 2023/04/02 19:30:07 - mmengine - INFO - Epoch(train) [16][ 900/5005] lr: 9.4550e-05 eta: 9:33:33 time: 0.0766 data_time: 0.0179 memory: 1684 loss: 1.1505 2023/04/02 19:30:09 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:30:15 - mmengine - INFO - Epoch(train) [16][1000/5005] lr: 9.4550e-05 eta: 9:33:23 time: 0.0895 data_time: 0.0190 memory: 1684 loss: 1.2113 2023/04/02 19:30:23 - mmengine - INFO - Epoch(train) [16][1100/5005] lr: 9.4550e-05 eta: 9:33:14 time: 0.0753 data_time: 0.0180 memory: 1684 loss: 1.2064 2023/04/02 19:30:32 - mmengine - INFO - Epoch(train) [16][1200/5005] lr: 9.4550e-05 eta: 9:33:07 time: 0.0766 data_time: 0.0182 memory: 1684 loss: 1.4191 2023/04/02 19:30:40 - mmengine - INFO - Epoch(train) [16][1300/5005] lr: 9.4550e-05 eta: 9:33:00 time: 0.0767 data_time: 0.0180 memory: 1684 loss: 1.2916 2023/04/02 19:30:48 - mmengine - INFO - Epoch(train) [16][1400/5005] lr: 9.4550e-05 eta: 9:32:50 time: 0.0769 data_time: 0.0182 memory: 1684 loss: 1.3264 2023/04/02 19:30:55 - mmengine - INFO - Epoch(train) [16][1500/5005] lr: 9.4550e-05 eta: 9:32:40 time: 0.0763 data_time: 0.0181 memory: 1684 loss: 1.1532 2023/04/02 19:31:03 - mmengine - INFO - Epoch(train) [16][1600/5005] lr: 9.4550e-05 eta: 9:32:28 time: 0.0752 data_time: 0.0194 memory: 1684 loss: 1.1281 2023/04/02 19:31:11 - mmengine - INFO - Epoch(train) [16][1700/5005] lr: 9.4550e-05 eta: 9:32:19 time: 0.0765 data_time: 0.0181 memory: 1684 loss: 1.1481 2023/04/02 19:31:19 - mmengine - INFO - Epoch(train) [16][1800/5005] lr: 9.4550e-05 eta: 9:32:11 time: 0.0803 data_time: 0.0185 memory: 1684 loss: 1.2493 2023/04/02 19:31:27 - mmengine - INFO - Epoch(train) [16][1900/5005] lr: 9.4550e-05 eta: 9:32:03 time: 0.0784 data_time: 0.0188 memory: 1684 loss: 1.2446 2023/04/02 19:31:29 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:31:35 - mmengine - INFO - Epoch(train) [16][2000/5005] lr: 9.4550e-05 eta: 9:31:54 time: 0.0761 data_time: 0.0181 memory: 1684 loss: 1.1248 2023/04/02 19:31:43 - mmengine - INFO - Epoch(train) [16][2100/5005] lr: 9.4550e-05 eta: 9:31:44 time: 0.0776 data_time: 0.0179 memory: 1684 loss: 1.1129 2023/04/02 19:31:51 - mmengine - INFO - Epoch(train) [16][2200/5005] lr: 9.4550e-05 eta: 9:31:36 time: 0.1030 data_time: 0.0309 memory: 1684 loss: 1.2993 2023/04/02 19:31:59 - mmengine - INFO - Epoch(train) [16][2300/5005] lr: 9.4550e-05 eta: 9:31:26 time: 0.0764 data_time: 0.0180 memory: 1684 loss: 1.3541 2023/04/02 19:32:07 - mmengine - INFO - Epoch(train) [16][2400/5005] lr: 9.4550e-05 eta: 9:31:17 time: 0.0858 data_time: 0.0179 memory: 1684 loss: 1.2138 2023/04/02 19:32:15 - mmengine - INFO - Epoch(train) [16][2500/5005] lr: 9.4550e-05 eta: 9:31:07 time: 0.0754 data_time: 0.0184 memory: 1684 loss: 1.5171 2023/04/02 19:32:23 - mmengine - INFO - Epoch(train) [16][2600/5005] lr: 9.4550e-05 eta: 9:30:58 time: 0.0781 data_time: 0.0196 memory: 1684 loss: 1.2819 2023/04/02 19:32:31 - mmengine - INFO - Epoch(train) [16][2700/5005] lr: 9.4550e-05 eta: 9:30:49 time: 0.0775 data_time: 0.0183 memory: 1684 loss: 1.2742 2023/04/02 19:32:39 - mmengine - INFO - Epoch(train) [16][2800/5005] lr: 9.4550e-05 eta: 9:30:41 time: 0.0785 data_time: 0.0178 memory: 1684 loss: 1.4196 2023/04/02 19:32:46 - mmengine - INFO - Epoch(train) [16][2900/5005] lr: 9.4550e-05 eta: 9:30:30 time: 0.0820 data_time: 0.0184 memory: 1684 loss: 1.2440 2023/04/02 19:32:48 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:32:55 - mmengine - INFO - Epoch(train) [16][3000/5005] lr: 9.4550e-05 eta: 9:30:24 time: 0.0892 data_time: 0.0184 memory: 1684 loss: 1.4302 2023/04/02 19:33:02 - mmengine - INFO - Epoch(train) [16][3100/5005] lr: 9.4550e-05 eta: 9:30:13 time: 0.0743 data_time: 0.0185 memory: 1684 loss: 1.0238 2023/04/02 19:33:10 - mmengine - INFO - Epoch(train) [16][3200/5005] lr: 9.4550e-05 eta: 9:30:03 time: 0.0765 data_time: 0.0187 memory: 1684 loss: 1.3265 2023/04/02 19:33:18 - mmengine - INFO - Epoch(train) [16][3300/5005] lr: 9.4550e-05 eta: 9:29:56 time: 0.0803 data_time: 0.0177 memory: 1684 loss: 1.3303 2023/04/02 19:33:27 - mmengine - INFO - Epoch(train) [16][3400/5005] lr: 9.4550e-05 eta: 9:29:48 time: 0.0778 data_time: 0.0187 memory: 1684 loss: 1.1348 2023/04/02 19:33:34 - mmengine - INFO - Epoch(train) [16][3500/5005] lr: 9.4550e-05 eta: 9:29:38 time: 0.0790 data_time: 0.0181 memory: 1684 loss: 1.4757 2023/04/02 19:33:43 - mmengine - INFO - Epoch(train) [16][3600/5005] lr: 9.4550e-05 eta: 9:29:30 time: 0.0740 data_time: 0.0189 memory: 1684 loss: 1.4494 2023/04/02 19:33:50 - mmengine - INFO - Epoch(train) [16][3700/5005] lr: 9.4550e-05 eta: 9:29:19 time: 0.0782 data_time: 0.0187 memory: 1684 loss: 1.2855 2023/04/02 19:33:58 - mmengine - INFO - Epoch(train) [16][3800/5005] lr: 9.4550e-05 eta: 9:29:10 time: 0.0788 data_time: 0.0186 memory: 1684 loss: 1.0419 2023/04/02 19:34:06 - mmengine - INFO - Epoch(train) [16][3900/5005] lr: 9.4550e-05 eta: 9:29:00 time: 0.0741 data_time: 0.0182 memory: 1684 loss: 1.3989 2023/04/02 19:34:08 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:34:14 - mmengine - INFO - Epoch(train) [16][4000/5005] lr: 9.4550e-05 eta: 9:28:50 time: 0.0774 data_time: 0.0187 memory: 1684 loss: 1.2904 2023/04/02 19:34:21 - mmengine - INFO - Epoch(train) [16][4100/5005] lr: 9.4550e-05 eta: 9:28:40 time: 0.0784 data_time: 0.0180 memory: 1684 loss: 1.3212 2023/04/02 19:34:30 - mmengine - INFO - Epoch(train) [16][4200/5005] lr: 9.4550e-05 eta: 9:28:32 time: 0.0742 data_time: 0.0177 memory: 1684 loss: 1.2757 2023/04/02 19:34:38 - mmengine - INFO - Epoch(train) [16][4300/5005] lr: 9.4550e-05 eta: 9:28:23 time: 0.0778 data_time: 0.0186 memory: 1684 loss: 1.3292 2023/04/02 19:34:45 - mmengine - INFO - Epoch(train) [16][4400/5005] lr: 9.4550e-05 eta: 9:28:13 time: 0.0772 data_time: 0.0184 memory: 1684 loss: 1.2513 2023/04/02 19:34:53 - mmengine - INFO - Epoch(train) [16][4500/5005] lr: 9.4550e-05 eta: 9:28:05 time: 0.0788 data_time: 0.0195 memory: 1684 loss: 1.1762 2023/04/02 19:35:02 - mmengine - INFO - Epoch(train) [16][4600/5005] lr: 9.4550e-05 eta: 9:27:57 time: 0.0886 data_time: 0.0178 memory: 1684 loss: 1.2929 2023/04/02 19:35:10 - mmengine - INFO - Epoch(train) [16][4700/5005] lr: 9.4550e-05 eta: 9:27:48 time: 0.0866 data_time: 0.0181 memory: 1684 loss: 1.1634 2023/04/02 19:35:18 - mmengine - INFO - Epoch(train) [16][4800/5005] lr: 9.4550e-05 eta: 9:27:40 time: 0.0793 data_time: 0.0208 memory: 1684 loss: 1.3376 2023/04/02 19:35:25 - mmengine - INFO - Epoch(train) [16][4900/5005] lr: 9.4550e-05 eta: 9:27:30 time: 0.0749 data_time: 0.0181 memory: 1684 loss: 1.2531 2023/04/02 19:35:27 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:35:33 - mmengine - INFO - Epoch(train) [16][5000/5005] lr: 9.4550e-05 eta: 9:27:19 time: 0.0752 data_time: 0.0191 memory: 1684 loss: 1.0324 2023/04/02 19:35:33 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:35:34 - mmengine - INFO - Saving checkpoint at 16 epochs 2023/04/02 19:35:39 - mmengine - INFO - Epoch(val) [16][100/196] eta: 0:00:03 time: 0.0338 data_time: 0.0080 memory: 1684 2023/04/02 19:35:52 - mmengine - INFO - Epoch(val) [16][196/196] qat.accuracy/top1: 69.6060 qat.accuracy/top5: 89.0040data_time: 0.0073 time: 0.0313 2023/04/02 19:35:57 - mmengine - INFO - Epoch(val) [16][100/196] eta: 0:00:03 time: 0.0381 data_time: 0.0086 memory: 513 2023/04/02 19:36:10 - mmengine - INFO - Epoch(val) [16][196/196] qat.accuracy/top1: 69.6460 qat.accuracy/top5: 88.9860data_time: 0.0069 time: 0.0344 2023/04/02 19:36:13 - mmengine - INFO - Epoch(val) [16][100/196] eta: 0:00:02 time: 0.0231 data_time: 0.0132 memory: 470 2023/04/02 19:36:25 - mmengine - INFO - Epoch(val) [16][196/196] original.accuracy/top1: 69.4600 original.accuracy/top5: 88.9780data_time: 0.0305 time: 0.0399 2023/04/02 19:36:35 - mmengine - INFO - Epoch(train) [17][ 100/5005] lr: 9.3815e-05 eta: 9:27:18 time: 0.0764 data_time: 0.0169 memory: 1735 loss: 1.1643 2023/04/02 19:36:43 - mmengine - INFO - Epoch(train) [17][ 200/5005] lr: 9.3815e-05 eta: 9:27:09 time: 0.0833 data_time: 0.0167 memory: 1684 loss: 1.3947 2023/04/02 19:36:51 - mmengine - INFO - Epoch(train) [17][ 300/5005] lr: 9.3815e-05 eta: 9:27:00 time: 0.0928 data_time: 0.0169 memory: 1684 loss: 1.2354 2023/04/02 19:36:59 - mmengine - INFO - Epoch(train) [17][ 400/5005] lr: 9.3815e-05 eta: 9:26:52 time: 0.0765 data_time: 0.0168 memory: 1684 loss: 1.1821 2023/04/02 19:37:07 - mmengine - INFO - Epoch(train) [17][ 500/5005] lr: 9.3815e-05 eta: 9:26:44 time: 0.0756 data_time: 0.0171 memory: 1684 loss: 1.2345 2023/04/02 19:37:15 - mmengine - INFO - Epoch(train) [17][ 600/5005] lr: 9.3815e-05 eta: 9:26:35 time: 0.0894 data_time: 0.0175 memory: 1684 loss: 1.3164 2023/04/02 19:37:23 - mmengine - INFO - Epoch(train) [17][ 700/5005] lr: 9.3815e-05 eta: 9:26:27 time: 0.0805 data_time: 0.0185 memory: 1684 loss: 1.1843 2023/04/02 19:37:31 - mmengine - INFO - Epoch(train) [17][ 800/5005] lr: 9.3815e-05 eta: 9:26:17 time: 0.0755 data_time: 0.0179 memory: 1684 loss: 1.2468 2023/04/02 19:37:39 - mmengine - INFO - Epoch(train) [17][ 900/5005] lr: 9.3815e-05 eta: 9:26:08 time: 0.1079 data_time: 0.0176 memory: 1684 loss: 1.0703 2023/04/02 19:37:41 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:37:47 - mmengine - INFO - Epoch(train) [17][1000/5005] lr: 9.3815e-05 eta: 9:26:00 time: 0.0790 data_time: 0.0177 memory: 1684 loss: 1.3506 2023/04/02 19:37:55 - mmengine - INFO - Epoch(train) [17][1100/5005] lr: 9.3815e-05 eta: 9:25:51 time: 0.0749 data_time: 0.0181 memory: 1684 loss: 1.0278 2023/04/02 19:38:03 - mmengine - INFO - Epoch(train) [17][1200/5005] lr: 9.3815e-05 eta: 9:25:44 time: 0.0790 data_time: 0.0187 memory: 1684 loss: 1.3690 2023/04/02 19:38:11 - mmengine - INFO - Epoch(train) [17][1300/5005] lr: 9.3815e-05 eta: 9:25:35 time: 0.0778 data_time: 0.0178 memory: 1684 loss: 1.2144 2023/04/02 19:38:19 - mmengine - INFO - Epoch(train) [17][1400/5005] lr: 9.3815e-05 eta: 9:25:24 time: 0.0746 data_time: 0.0182 memory: 1684 loss: 1.2527 2023/04/02 19:38:27 - mmengine - INFO - Epoch(train) [17][1500/5005] lr: 9.3815e-05 eta: 9:25:15 time: 0.0753 data_time: 0.0188 memory: 1684 loss: 1.5637 2023/04/02 19:38:35 - mmengine - INFO - Epoch(train) [17][1600/5005] lr: 9.3815e-05 eta: 9:25:07 time: 0.0874 data_time: 0.0175 memory: 1684 loss: 1.3329 2023/04/02 19:38:43 - mmengine - INFO - Epoch(train) [17][1700/5005] lr: 9.3815e-05 eta: 9:24:56 time: 0.0757 data_time: 0.0181 memory: 1684 loss: 1.3857 2023/04/02 19:38:50 - mmengine - INFO - Epoch(train) [17][1800/5005] lr: 9.3815e-05 eta: 9:24:46 time: 0.0752 data_time: 0.0183 memory: 1684 loss: 1.2152 2023/04/02 19:38:58 - mmengine - INFO - Epoch(train) [17][1900/5005] lr: 9.3815e-05 eta: 9:24:37 time: 0.0813 data_time: 0.0177 memory: 1684 loss: 1.2138 2023/04/02 19:39:00 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:39:06 - mmengine - INFO - Epoch(train) [17][2000/5005] lr: 9.3815e-05 eta: 9:24:29 time: 0.0791 data_time: 0.0189 memory: 1684 loss: 1.1984 2023/04/02 19:39:15 - mmengine - INFO - Epoch(train) [17][2100/5005] lr: 9.3815e-05 eta: 9:24:21 time: 0.0762 data_time: 0.0182 memory: 1684 loss: 1.3179 2023/04/02 19:39:22 - mmengine - INFO - Epoch(train) [17][2200/5005] lr: 9.3815e-05 eta: 9:24:12 time: 0.0751 data_time: 0.0178 memory: 1684 loss: 1.5180 2023/04/02 19:39:31 - mmengine - INFO - Epoch(train) [17][2300/5005] lr: 9.3815e-05 eta: 9:24:05 time: 0.1118 data_time: 0.0555 memory: 1684 loss: 1.4039 2023/04/02 19:39:39 - mmengine - INFO - Epoch(train) [17][2400/5005] lr: 9.3815e-05 eta: 9:23:55 time: 0.0755 data_time: 0.0182 memory: 1684 loss: 1.2729 2023/04/02 19:39:46 - mmengine - INFO - Epoch(train) [17][2500/5005] lr: 9.3815e-05 eta: 9:23:45 time: 0.0762 data_time: 0.0178 memory: 1684 loss: 1.4756 2023/04/02 19:39:54 - mmengine - INFO - Epoch(train) [17][2600/5005] lr: 9.3815e-05 eta: 9:23:36 time: 0.0821 data_time: 0.0201 memory: 1684 loss: 1.1396 2023/04/02 19:40:03 - mmengine - INFO - Epoch(train) [17][2700/5005] lr: 9.3815e-05 eta: 9:23:29 time: 0.0917 data_time: 0.0194 memory: 1684 loss: 1.1697 2023/04/02 19:40:11 - mmengine - INFO - Epoch(train) [17][2800/5005] lr: 9.3815e-05 eta: 9:23:20 time: 0.0782 data_time: 0.0180 memory: 1684 loss: 1.2343 2023/04/02 19:40:19 - mmengine - INFO - Epoch(train) [17][2900/5005] lr: 9.3815e-05 eta: 9:23:11 time: 0.0762 data_time: 0.0177 memory: 1684 loss: 1.1603 2023/04/02 19:40:20 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:40:26 - mmengine - INFO - Epoch(train) [17][3000/5005] lr: 9.3815e-05 eta: 9:23:02 time: 0.0808 data_time: 0.0177 memory: 1684 loss: 1.3096 2023/04/02 19:40:34 - mmengine - INFO - Epoch(train) [17][3100/5005] lr: 9.3815e-05 eta: 9:22:53 time: 0.0798 data_time: 0.0173 memory: 1684 loss: 1.2449 2023/04/02 19:40:43 - mmengine - INFO - Epoch(train) [17][3200/5005] lr: 9.3815e-05 eta: 9:22:45 time: 0.1125 data_time: 0.0298 memory: 1684 loss: 1.1748 2023/04/02 19:40:50 - mmengine - INFO - Epoch(train) [17][3300/5005] lr: 9.3815e-05 eta: 9:22:35 time: 0.0743 data_time: 0.0175 memory: 1684 loss: 1.1329 2023/04/02 19:40:58 - mmengine - INFO - Epoch(train) [17][3400/5005] lr: 9.3815e-05 eta: 9:22:27 time: 0.0893 data_time: 0.0177 memory: 1684 loss: 1.2853 2023/04/02 19:41:07 - mmengine - INFO - Epoch(train) [17][3500/5005] lr: 9.3815e-05 eta: 9:22:19 time: 0.0797 data_time: 0.0180 memory: 1684 loss: 1.2884 2023/04/02 19:41:15 - mmengine - INFO - Epoch(train) [17][3600/5005] lr: 9.3815e-05 eta: 9:22:10 time: 0.0760 data_time: 0.0176 memory: 1684 loss: 1.2478 2023/04/02 19:41:22 - mmengine - INFO - Epoch(train) [17][3700/5005] lr: 9.3815e-05 eta: 9:22:00 time: 0.0799 data_time: 0.0178 memory: 1684 loss: 1.1213 2023/04/02 19:41:30 - mmengine - INFO - Epoch(train) [17][3800/5005] lr: 9.3815e-05 eta: 9:21:52 time: 0.0767 data_time: 0.0179 memory: 1684 loss: 1.1459 2023/04/02 19:41:38 - mmengine - INFO - Epoch(train) [17][3900/5005] lr: 9.3815e-05 eta: 9:21:43 time: 0.0768 data_time: 0.0183 memory: 1684 loss: 1.2828 2023/04/02 19:41:40 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:41:46 - mmengine - INFO - Epoch(train) [17][4000/5005] lr: 9.3815e-05 eta: 9:21:33 time: 0.0771 data_time: 0.0182 memory: 1684 loss: 1.2187 2023/04/02 19:41:54 - mmengine - INFO - Epoch(train) [17][4100/5005] lr: 9.3815e-05 eta: 9:21:26 time: 0.0747 data_time: 0.0178 memory: 1684 loss: 1.2657 2023/04/02 19:42:02 - mmengine - INFO - Epoch(train) [17][4200/5005] lr: 9.3815e-05 eta: 9:21:16 time: 0.0826 data_time: 0.0241 memory: 1684 loss: 1.1513 2023/04/02 19:42:10 - mmengine - INFO - Epoch(train) [17][4300/5005] lr: 9.3815e-05 eta: 9:21:08 time: 0.0792 data_time: 0.0176 memory: 1684 loss: 1.2877 2023/04/02 19:42:18 - mmengine - INFO - Epoch(train) [17][4400/5005] lr: 9.3815e-05 eta: 9:21:00 time: 0.0833 data_time: 0.0202 memory: 1684 loss: 1.3233 2023/04/02 19:42:26 - mmengine - INFO - Epoch(train) [17][4500/5005] lr: 9.3815e-05 eta: 9:20:52 time: 0.0887 data_time: 0.0174 memory: 1684 loss: 1.1284 2023/04/02 19:42:34 - mmengine - INFO - Epoch(train) [17][4600/5005] lr: 9.3815e-05 eta: 9:20:42 time: 0.0752 data_time: 0.0172 memory: 1684 loss: 1.1509 2023/04/02 19:42:42 - mmengine - INFO - Epoch(train) [17][4700/5005] lr: 9.3815e-05 eta: 9:20:32 time: 0.0771 data_time: 0.0181 memory: 1684 loss: 1.2157 2023/04/02 19:42:50 - mmengine - INFO - Epoch(train) [17][4800/5005] lr: 9.3815e-05 eta: 9:20:23 time: 0.0769 data_time: 0.0183 memory: 1684 loss: 0.9289 2023/04/02 19:42:58 - mmengine - INFO - Epoch(train) [17][4900/5005] lr: 9.3815e-05 eta: 9:20:13 time: 0.0899 data_time: 0.0178 memory: 1684 loss: 1.4293 2023/04/02 19:42:59 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:43:06 - mmengine - INFO - Epoch(train) [17][5000/5005] lr: 9.3815e-05 eta: 9:20:05 time: 0.0896 data_time: 0.0298 memory: 1684 loss: 1.1647 2023/04/02 19:43:06 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:43:06 - mmengine - INFO - Saving checkpoint at 17 epochs 2023/04/02 19:43:12 - mmengine - INFO - Epoch(val) [17][100/196] eta: 0:00:03 time: 0.0340 data_time: 0.0081 memory: 1684 2023/04/02 19:43:24 - mmengine - INFO - Epoch(val) [17][196/196] qat.accuracy/top1: 69.5120 qat.accuracy/top5: 89.1000data_time: 0.0115 time: 0.0354 2023/04/02 19:43:29 - mmengine - INFO - Epoch(val) [17][100/196] eta: 0:00:03 time: 0.0367 data_time: 0.0088 memory: 513 2023/04/02 19:43:42 - mmengine - INFO - Epoch(val) [17][196/196] qat.accuracy/top1: 69.5780 qat.accuracy/top5: 89.0900data_time: 0.0071 time: 0.0327 2023/04/02 19:43:45 - mmengine - INFO - Epoch(val) [17][100/196] eta: 0:00:03 time: 0.0247 data_time: 0.0138 memory: 470 2023/04/02 19:43:57 - mmengine - INFO - Epoch(val) [17][196/196] original.accuracy/top1: 69.4380 original.accuracy/top5: 89.0340data_time: 0.0324 time: 0.0425 2023/04/02 19:44:07 - mmengine - INFO - Epoch(train) [18][ 100/5005] lr: 9.3037e-05 eta: 9:20:03 time: 0.0991 data_time: 0.0175 memory: 1735 loss: 1.3303 2023/04/02 19:44:15 - mmengine - INFO - Epoch(train) [18][ 200/5005] lr: 9.3037e-05 eta: 9:19:55 time: 0.0800 data_time: 0.0178 memory: 1735 loss: 1.1219 2023/04/02 19:44:23 - mmengine - INFO - Epoch(train) [18][ 300/5005] lr: 9.3037e-05 eta: 9:19:50 time: 0.0758 data_time: 0.0170 memory: 1735 loss: 1.1945 2023/04/02 19:44:31 - mmengine - INFO - Epoch(train) [18][ 400/5005] lr: 9.3037e-05 eta: 9:19:39 time: 0.0753 data_time: 0.0171 memory: 1735 loss: 1.2906 2023/04/02 19:44:39 - mmengine - INFO - Epoch(train) [18][ 500/5005] lr: 9.3037e-05 eta: 9:19:29 time: 0.0748 data_time: 0.0172 memory: 1735 loss: 1.3147 2023/04/02 19:44:46 - mmengine - INFO - Epoch(train) [18][ 600/5005] lr: 9.3037e-05 eta: 9:19:19 time: 0.0859 data_time: 0.0173 memory: 1735 loss: 1.2503 2023/04/02 19:44:54 - mmengine - INFO - Epoch(train) [18][ 700/5005] lr: 9.3037e-05 eta: 9:19:10 time: 0.0766 data_time: 0.0174 memory: 1735 loss: 1.2288 2023/04/02 19:45:02 - mmengine - INFO - Epoch(train) [18][ 800/5005] lr: 9.3037e-05 eta: 9:19:02 time: 0.0753 data_time: 0.0170 memory: 1735 loss: 1.2870 2023/04/02 19:45:10 - mmengine - INFO - Epoch(train) [18][ 900/5005] lr: 9.3037e-05 eta: 9:18:53 time: 0.0737 data_time: 0.0172 memory: 1735 loss: 1.2657 2023/04/02 19:45:11 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:45:18 - mmengine - INFO - Epoch(train) [18][1000/5005] lr: 9.3037e-05 eta: 9:18:41 time: 0.0733 data_time: 0.0172 memory: 1735 loss: 1.2627 2023/04/02 19:45:26 - mmengine - INFO - Epoch(train) [18][1100/5005] lr: 9.3037e-05 eta: 9:18:32 time: 0.0781 data_time: 0.0172 memory: 1735 loss: 1.3091 2023/04/02 19:45:33 - mmengine - INFO - Epoch(train) [18][1200/5005] lr: 9.3037e-05 eta: 9:18:22 time: 0.0774 data_time: 0.0170 memory: 1684 loss: 1.2972 2023/04/02 19:45:41 - mmengine - INFO - Epoch(train) [18][1300/5005] lr: 9.3037e-05 eta: 9:18:14 time: 0.0808 data_time: 0.0175 memory: 1684 loss: 1.4360 2023/04/02 19:45:49 - mmengine - INFO - Epoch(train) [18][1400/5005] lr: 9.3037e-05 eta: 9:18:05 time: 0.0754 data_time: 0.0172 memory: 1684 loss: 1.3686 2023/04/02 19:45:57 - mmengine - INFO - Epoch(train) [18][1500/5005] lr: 9.3037e-05 eta: 9:17:55 time: 0.0757 data_time: 0.0171 memory: 1684 loss: 1.2855 2023/04/02 19:46:05 - mmengine - INFO - Epoch(train) [18][1600/5005] lr: 9.3037e-05 eta: 9:17:45 time: 0.0886 data_time: 0.0172 memory: 1684 loss: 1.1553 2023/04/02 19:46:13 - mmengine - INFO - Epoch(train) [18][1700/5005] lr: 9.3037e-05 eta: 9:17:36 time: 0.0750 data_time: 0.0172 memory: 1684 loss: 1.2259 2023/04/02 19:46:20 - mmengine - INFO - Epoch(train) [18][1800/5005] lr: 9.3037e-05 eta: 9:17:26 time: 0.0870 data_time: 0.0170 memory: 1684 loss: 1.3460 2023/04/02 19:46:28 - mmengine - INFO - Epoch(train) [18][1900/5005] lr: 9.3037e-05 eta: 9:17:17 time: 0.0774 data_time: 0.0173 memory: 1684 loss: 1.3104 2023/04/02 19:46:29 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:46:36 - mmengine - INFO - Epoch(train) [18][2000/5005] lr: 9.3037e-05 eta: 9:17:09 time: 0.0886 data_time: 0.0172 memory: 1684 loss: 1.2468 2023/04/02 19:46:44 - mmengine - INFO - Epoch(train) [18][2100/5005] lr: 9.3037e-05 eta: 9:16:58 time: 0.0763 data_time: 0.0172 memory: 1684 loss: 1.3785 2023/04/02 19:46:52 - mmengine - INFO - Epoch(train) [18][2200/5005] lr: 9.3037e-05 eta: 9:16:49 time: 0.0737 data_time: 0.0172 memory: 1684 loss: 1.3458 2023/04/02 19:46:59 - mmengine - INFO - Epoch(train) [18][2300/5005] lr: 9.3037e-05 eta: 9:16:38 time: 0.0741 data_time: 0.0174 memory: 1684 loss: 1.3224 2023/04/02 19:47:07 - mmengine - INFO - Epoch(train) [18][2400/5005] lr: 9.3037e-05 eta: 9:16:29 time: 0.0790 data_time: 0.0172 memory: 1684 loss: 1.2228 2023/04/02 19:47:15 - mmengine - INFO - Epoch(train) [18][2500/5005] lr: 9.3037e-05 eta: 9:16:19 time: 0.0762 data_time: 0.0171 memory: 1684 loss: 1.1799 2023/04/02 19:47:23 - mmengine - INFO - Epoch(train) [18][2600/5005] lr: 9.3037e-05 eta: 9:16:09 time: 0.0753 data_time: 0.0172 memory: 1684 loss: 1.1735 2023/04/02 19:47:30 - mmengine - INFO - Epoch(train) [18][2700/5005] lr: 9.3037e-05 eta: 9:15:58 time: 0.0741 data_time: 0.0171 memory: 1684 loss: 1.4373 2023/04/02 19:47:38 - mmengine - INFO - Epoch(train) [18][2800/5005] lr: 9.3037e-05 eta: 9:15:49 time: 0.0755 data_time: 0.0171 memory: 1684 loss: 1.2599 2023/04/02 19:47:46 - mmengine - INFO - Epoch(train) [18][2900/5005] lr: 9.3037e-05 eta: 9:15:38 time: 0.0769 data_time: 0.0173 memory: 1684 loss: 1.2182 2023/04/02 19:47:47 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:47:54 - mmengine - INFO - Epoch(train) [18][3000/5005] lr: 9.3037e-05 eta: 9:15:30 time: 0.0758 data_time: 0.0186 memory: 1684 loss: 1.2673 2023/04/02 19:48:02 - mmengine - INFO - Epoch(train) [18][3100/5005] lr: 9.3037e-05 eta: 9:15:21 time: 0.0753 data_time: 0.0176 memory: 1684 loss: 1.3816 2023/04/02 19:48:09 - mmengine - INFO - Epoch(train) [18][3200/5005] lr: 9.3037e-05 eta: 9:15:11 time: 0.0774 data_time: 0.0175 memory: 1684 loss: 1.3120 2023/04/02 19:48:18 - mmengine - INFO - Epoch(train) [18][3300/5005] lr: 9.3037e-05 eta: 9:15:04 time: 0.1045 data_time: 0.0172 memory: 1684 loss: 1.1303 2023/04/02 19:48:25 - mmengine - INFO - Epoch(train) [18][3400/5005] lr: 9.3037e-05 eta: 9:14:54 time: 0.0746 data_time: 0.0171 memory: 1684 loss: 1.3293 2023/04/02 19:48:34 - mmengine - INFO - Epoch(train) [18][3500/5005] lr: 9.3037e-05 eta: 9:14:46 time: 0.0825 data_time: 0.0177 memory: 1684 loss: 1.4264 2023/04/02 19:48:41 - mmengine - INFO - Epoch(train) [18][3600/5005] lr: 9.3037e-05 eta: 9:14:37 time: 0.0760 data_time: 0.0171 memory: 1684 loss: 1.1343 2023/04/02 19:48:49 - mmengine - INFO - Epoch(train) [18][3700/5005] lr: 9.3037e-05 eta: 9:14:27 time: 0.0747 data_time: 0.0172 memory: 1684 loss: 1.3033 2023/04/02 19:48:57 - mmengine - INFO - Epoch(train) [18][3800/5005] lr: 9.3037e-05 eta: 9:14:18 time: 0.0762 data_time: 0.0173 memory: 1684 loss: 1.2114 2023/04/02 19:49:05 - mmengine - INFO - Epoch(train) [18][3900/5005] lr: 9.3037e-05 eta: 9:14:09 time: 0.0750 data_time: 0.0172 memory: 1684 loss: 1.2615 2023/04/02 19:49:06 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:49:13 - mmengine - INFO - Epoch(train) [18][4000/5005] lr: 9.3037e-05 eta: 9:14:01 time: 0.0808 data_time: 0.0183 memory: 1684 loss: 1.1646 2023/04/02 19:49:21 - mmengine - INFO - Epoch(train) [18][4100/5005] lr: 9.3037e-05 eta: 9:13:53 time: 0.0774 data_time: 0.0174 memory: 1684 loss: 1.3130 2023/04/02 19:49:29 - mmengine - INFO - Epoch(train) [18][4200/5005] lr: 9.3037e-05 eta: 9:13:45 time: 0.0799 data_time: 0.0170 memory: 1684 loss: 1.3460 2023/04/02 19:49:37 - mmengine - INFO - Epoch(train) [18][4300/5005] lr: 9.3037e-05 eta: 9:13:37 time: 0.0793 data_time: 0.0172 memory: 1684 loss: 1.3036 2023/04/02 19:49:46 - mmengine - INFO - Epoch(train) [18][4400/5005] lr: 9.3037e-05 eta: 9:13:30 time: 0.0788 data_time: 0.0173 memory: 1684 loss: 1.2947 2023/04/02 19:49:54 - mmengine - INFO - Epoch(train) [18][4500/5005] lr: 9.3037e-05 eta: 9:13:21 time: 0.0794 data_time: 0.0171 memory: 1684 loss: 1.3150 2023/04/02 19:50:02 - mmengine - INFO - Epoch(train) [18][4600/5005] lr: 9.3037e-05 eta: 9:13:13 time: 0.0799 data_time: 0.0172 memory: 1684 loss: 1.2645 2023/04/02 19:50:10 - mmengine - INFO - Epoch(train) [18][4700/5005] lr: 9.3037e-05 eta: 9:13:04 time: 0.0804 data_time: 0.0174 memory: 1684 loss: 1.2714 2023/04/02 19:50:18 - mmengine - INFO - Epoch(train) [18][4800/5005] lr: 9.3037e-05 eta: 9:12:56 time: 0.0798 data_time: 0.0177 memory: 1684 loss: 1.1633 2023/04/02 19:50:26 - mmengine - INFO - Epoch(train) [18][4900/5005] lr: 9.3037e-05 eta: 9:12:47 time: 0.0943 data_time: 0.0176 memory: 1684 loss: 1.2515 2023/04/02 19:50:27 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:50:34 - mmengine - INFO - Epoch(train) [18][5000/5005] lr: 9.3037e-05 eta: 9:12:39 time: 0.0760 data_time: 0.0176 memory: 1684 loss: 1.3077 2023/04/02 19:50:34 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:50:34 - mmengine - INFO - Saving checkpoint at 18 epochs 2023/04/02 19:50:40 - mmengine - INFO - Epoch(val) [18][100/196] eta: 0:00:03 time: 0.0344 data_time: 0.0080 memory: 1684 2023/04/02 19:50:52 - mmengine - INFO - Epoch(val) [18][196/196] qat.accuracy/top1: 69.5100 qat.accuracy/top5: 89.0680data_time: 0.0071 time: 0.0306 2023/04/02 19:50:57 - mmengine - INFO - Epoch(val) [18][100/196] eta: 0:00:03 time: 0.0350 data_time: 0.0078 memory: 513 2023/04/02 19:51:10 - mmengine - INFO - Epoch(val) [18][196/196] qat.accuracy/top1: 69.5380 qat.accuracy/top5: 89.0720data_time: 0.0070 time: 0.0337 2023/04/02 19:51:13 - mmengine - INFO - Epoch(val) [18][100/196] eta: 0:00:02 time: 0.0272 data_time: 0.0166 memory: 470 2023/04/02 19:51:26 - mmengine - INFO - Epoch(val) [18][196/196] original.accuracy/top1: 69.4640 original.accuracy/top5: 89.0460data_time: 0.0356 time: 0.0456 2023/04/02 19:51:35 - mmengine - INFO - Epoch(train) [19][ 100/5005] lr: 9.2216e-05 eta: 9:12:35 time: 0.0778 data_time: 0.0172 memory: 1735 loss: 1.2225 2023/04/02 19:51:43 - mmengine - INFO - Epoch(train) [19][ 200/5005] lr: 9.2216e-05 eta: 9:12:26 time: 0.0786 data_time: 0.0181 memory: 1735 loss: 1.2535 2023/04/02 19:51:51 - mmengine - INFO - Epoch(train) [19][ 300/5005] lr: 9.2216e-05 eta: 9:12:18 time: 0.0980 data_time: 0.0202 memory: 1735 loss: 1.0106 2023/04/02 19:51:59 - mmengine - INFO - Epoch(train) [19][ 400/5005] lr: 9.2216e-05 eta: 9:12:09 time: 0.0833 data_time: 0.0176 memory: 1735 loss: 1.1846 2023/04/02 19:52:07 - mmengine - INFO - Epoch(train) [19][ 500/5005] lr: 9.2216e-05 eta: 9:12:01 time: 0.0740 data_time: 0.0189 memory: 1735 loss: 1.5144 2023/04/02 19:52:15 - mmengine - INFO - Epoch(train) [19][ 600/5005] lr: 9.2216e-05 eta: 9:11:53 time: 0.0757 data_time: 0.0178 memory: 1735 loss: 1.1372 2023/04/02 19:52:23 - mmengine - INFO - Epoch(train) [19][ 700/5005] lr: 9.2216e-05 eta: 9:11:43 time: 0.0775 data_time: 0.0173 memory: 1735 loss: 1.2051 2023/04/02 19:52:31 - mmengine - INFO - Epoch(train) [19][ 800/5005] lr: 9.2216e-05 eta: 9:11:34 time: 0.0749 data_time: 0.0175 memory: 1735 loss: 1.3347 2023/04/02 19:52:40 - mmengine - INFO - Epoch(train) [19][ 900/5005] lr: 9.2216e-05 eta: 9:11:27 time: 0.0781 data_time: 0.0172 memory: 1735 loss: 1.1884 2023/04/02 19:52:40 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:52:47 - mmengine - INFO - Epoch(train) [19][1000/5005] lr: 9.2216e-05 eta: 9:11:17 time: 0.0772 data_time: 0.0173 memory: 1735 loss: 1.1369 2023/04/02 19:52:55 - mmengine - INFO - Epoch(train) [19][1100/5005] lr: 9.2216e-05 eta: 9:11:09 time: 0.0869 data_time: 0.0175 memory: 1684 loss: 1.1430 2023/04/02 19:53:04 - mmengine - INFO - Epoch(train) [19][1200/5005] lr: 9.2216e-05 eta: 9:11:02 time: 0.0967 data_time: 0.0170 memory: 1684 loss: 1.2017 2023/04/02 19:53:11 - mmengine - INFO - Epoch(train) [19][1300/5005] lr: 9.2216e-05 eta: 9:10:52 time: 0.0775 data_time: 0.0172 memory: 1684 loss: 1.4358 2023/04/02 19:53:19 - mmengine - INFO - Epoch(train) [19][1400/5005] lr: 9.2216e-05 eta: 9:10:42 time: 0.0758 data_time: 0.0174 memory: 1684 loss: 1.3843 2023/04/02 19:53:27 - mmengine - INFO - Epoch(train) [19][1500/5005] lr: 9.2216e-05 eta: 9:10:33 time: 0.0778 data_time: 0.0174 memory: 1684 loss: 1.2378 2023/04/02 19:53:35 - mmengine - INFO - Epoch(train) [19][1600/5005] lr: 9.2216e-05 eta: 9:10:23 time: 0.0748 data_time: 0.0173 memory: 1684 loss: 1.3021 2023/04/02 19:53:43 - mmengine - INFO - Epoch(train) [19][1700/5005] lr: 9.2216e-05 eta: 9:10:16 time: 0.0795 data_time: 0.0178 memory: 1684 loss: 1.2120 2023/04/02 19:53:51 - mmengine - INFO - Epoch(train) [19][1800/5005] lr: 9.2216e-05 eta: 9:10:08 time: 0.0794 data_time: 0.0170 memory: 1684 loss: 1.3327 2023/04/02 19:53:59 - mmengine - INFO - Epoch(train) [19][1900/5005] lr: 9.2216e-05 eta: 9:09:58 time: 0.0754 data_time: 0.0173 memory: 1684 loss: 1.2798 2023/04/02 19:54:00 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:54:07 - mmengine - INFO - Epoch(train) [19][2000/5005] lr: 9.2216e-05 eta: 9:09:49 time: 0.0786 data_time: 0.0174 memory: 1684 loss: 1.1344 2023/04/02 19:54:15 - mmengine - INFO - Epoch(train) [19][2100/5005] lr: 9.2216e-05 eta: 9:09:41 time: 0.0881 data_time: 0.0280 memory: 1684 loss: 1.2437 2023/04/02 19:54:23 - mmengine - INFO - Epoch(train) [19][2200/5005] lr: 9.2216e-05 eta: 9:09:32 time: 0.0777 data_time: 0.0171 memory: 1684 loss: 1.3896 2023/04/02 19:54:31 - mmengine - INFO - Epoch(train) [19][2300/5005] lr: 9.2216e-05 eta: 9:09:23 time: 0.0757 data_time: 0.0172 memory: 1684 loss: 1.3484 2023/04/02 19:54:38 - mmengine - INFO - Epoch(train) [19][2400/5005] lr: 9.2216e-05 eta: 9:09:14 time: 0.0790 data_time: 0.0172 memory: 1684 loss: 1.1970 2023/04/02 19:54:46 - mmengine - INFO - Epoch(train) [19][2500/5005] lr: 9.2216e-05 eta: 9:09:05 time: 0.0767 data_time: 0.0173 memory: 1684 loss: 1.2484 2023/04/02 19:54:54 - mmengine - INFO - Epoch(train) [19][2600/5005] lr: 9.2216e-05 eta: 9:08:56 time: 0.0848 data_time: 0.0177 memory: 1684 loss: 1.2982 2023/04/02 19:55:02 - mmengine - INFO - Epoch(train) [19][2700/5005] lr: 9.2216e-05 eta: 9:08:47 time: 0.0765 data_time: 0.0172 memory: 1684 loss: 1.3531 2023/04/02 19:55:10 - mmengine - INFO - Epoch(train) [19][2800/5005] lr: 9.2216e-05 eta: 9:08:39 time: 0.0866 data_time: 0.0172 memory: 1684 loss: 1.2563 2023/04/02 19:55:19 - mmengine - INFO - Epoch(train) [19][2900/5005] lr: 9.2216e-05 eta: 9:08:32 time: 0.0777 data_time: 0.0170 memory: 1684 loss: 1.3453 2023/04/02 19:55:19 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:55:26 - mmengine - INFO - Epoch(train) [19][3000/5005] lr: 9.2216e-05 eta: 9:08:23 time: 0.0779 data_time: 0.0174 memory: 1684 loss: 1.2408 2023/04/02 19:55:34 - mmengine - INFO - Epoch(train) [19][3100/5005] lr: 9.2216e-05 eta: 9:08:14 time: 0.0768 data_time: 0.0173 memory: 1684 loss: 1.2766 2023/04/02 19:55:42 - mmengine - INFO - Epoch(train) [19][3200/5005] lr: 9.2216e-05 eta: 9:08:04 time: 0.0773 data_time: 0.0172 memory: 1684 loss: 1.4590 2023/04/02 19:55:50 - mmengine - INFO - Epoch(train) [19][3300/5005] lr: 9.2216e-05 eta: 9:07:55 time: 0.0768 data_time: 0.0172 memory: 1684 loss: 1.1516 2023/04/02 19:55:58 - mmengine - INFO - Epoch(train) [19][3400/5005] lr: 9.2216e-05 eta: 9:07:45 time: 0.0772 data_time: 0.0173 memory: 1684 loss: 1.3369 2023/04/02 19:56:06 - mmengine - INFO - Epoch(train) [19][3500/5005] lr: 9.2216e-05 eta: 9:07:37 time: 0.0762 data_time: 0.0165 memory: 1684 loss: 1.4441 2023/04/02 19:56:13 - mmengine - INFO - Epoch(train) [19][3600/5005] lr: 9.2216e-05 eta: 9:07:26 time: 0.0750 data_time: 0.0173 memory: 1684 loss: 1.1058 2023/04/02 19:56:22 - mmengine - INFO - Epoch(train) [19][3700/5005] lr: 9.2216e-05 eta: 9:07:19 time: 0.0943 data_time: 0.0172 memory: 1684 loss: 1.1811 2023/04/02 19:56:30 - mmengine - INFO - Epoch(train) [19][3800/5005] lr: 9.2216e-05 eta: 9:07:11 time: 0.0788 data_time: 0.0170 memory: 1684 loss: 1.0520 2023/04/02 19:56:38 - mmengine - INFO - Epoch(train) [19][3900/5005] lr: 9.2216e-05 eta: 9:07:02 time: 0.0776 data_time: 0.0170 memory: 1684 loss: 1.3942 2023/04/02 19:56:38 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:56:46 - mmengine - INFO - Epoch(train) [19][4000/5005] lr: 9.2216e-05 eta: 9:06:53 time: 0.0872 data_time: 0.0171 memory: 1684 loss: 1.2426 2023/04/02 19:56:54 - mmengine - INFO - Epoch(train) [19][4100/5005] lr: 9.2216e-05 eta: 9:06:45 time: 0.0753 data_time: 0.0175 memory: 1684 loss: 1.2149 2023/04/02 19:57:02 - mmengine - INFO - Epoch(train) [19][4200/5005] lr: 9.2216e-05 eta: 9:06:37 time: 0.0773 data_time: 0.0171 memory: 1684 loss: 1.2799 2023/04/02 19:57:10 - mmengine - INFO - Epoch(train) [19][4300/5005] lr: 9.2216e-05 eta: 9:06:29 time: 0.0809 data_time: 0.0200 memory: 1684 loss: 1.2433 2023/04/02 19:57:18 - mmengine - INFO - Epoch(train) [19][4400/5005] lr: 9.2216e-05 eta: 9:06:19 time: 0.0761 data_time: 0.0173 memory: 1684 loss: 1.3470 2023/04/02 19:57:25 - mmengine - INFO - Epoch(train) [19][4500/5005] lr: 9.2216e-05 eta: 9:06:09 time: 0.0746 data_time: 0.0171 memory: 1684 loss: 1.2434 2023/04/02 19:57:33 - mmengine - INFO - Epoch(train) [19][4600/5005] lr: 9.2216e-05 eta: 9:06:00 time: 0.0744 data_time: 0.0170 memory: 1684 loss: 1.3450 2023/04/02 19:57:41 - mmengine - INFO - Epoch(train) [19][4700/5005] lr: 9.2216e-05 eta: 9:05:50 time: 0.0763 data_time: 0.0172 memory: 1684 loss: 1.1927 2023/04/02 19:57:49 - mmengine - INFO - Epoch(train) [19][4800/5005] lr: 9.2216e-05 eta: 9:05:43 time: 0.0797 data_time: 0.0176 memory: 1684 loss: 1.3512 2023/04/02 19:57:57 - mmengine - INFO - Epoch(train) [19][4900/5005] lr: 9.2216e-05 eta: 9:05:35 time: 0.0822 data_time: 0.0176 memory: 1684 loss: 1.3669 2023/04/02 19:57:58 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:58:05 - mmengine - INFO - Epoch(train) [19][5000/5005] lr: 9.2216e-05 eta: 9:05:26 time: 0.0780 data_time: 0.0182 memory: 1684 loss: 1.2545 2023/04/02 19:58:06 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 19:58:06 - mmengine - INFO - Saving checkpoint at 19 epochs 2023/04/02 19:58:11 - mmengine - INFO - Epoch(val) [19][100/196] eta: 0:00:03 time: 0.0342 data_time: 0.0081 memory: 1684 2023/04/02 19:58:24 - mmengine - INFO - Epoch(val) [19][196/196] qat.accuracy/top1: 69.5620 qat.accuracy/top5: 89.1460data_time: 0.0107 time: 0.0343 2023/04/02 19:58:28 - mmengine - INFO - Epoch(val) [19][100/196] eta: 0:00:04 time: 0.0365 data_time: 0.0086 memory: 513 2023/04/02 19:58:41 - mmengine - INFO - Epoch(val) [19][196/196] qat.accuracy/top1: 69.5740 qat.accuracy/top5: 89.0740data_time: 0.0070 time: 0.0331 2023/04/02 19:58:44 - mmengine - INFO - Epoch(val) [19][100/196] eta: 0:00:02 time: 0.0249 data_time: 0.0143 memory: 470 2023/04/02 19:58:56 - mmengine - INFO - Epoch(val) [19][196/196] original.accuracy/top1: 69.4420 original.accuracy/top5: 89.0120data_time: 0.0357 time: 0.0452 2023/04/02 19:59:05 - mmengine - INFO - Epoch(train) [20][ 100/5005] lr: 9.1354e-05 eta: 9:05:23 time: 0.0773 data_time: 0.0169 memory: 1735 loss: 1.1401 2023/04/02 19:59:13 - mmengine - INFO - Epoch(train) [20][ 200/5005] lr: 9.1354e-05 eta: 9:05:15 time: 0.0765 data_time: 0.0182 memory: 1735 loss: 1.2131 2023/04/02 19:59:22 - mmengine - INFO - Epoch(train) [20][ 300/5005] lr: 9.1354e-05 eta: 9:05:09 time: 0.0957 data_time: 0.0172 memory: 1735 loss: 1.3007 2023/04/02 19:59:30 - mmengine - INFO - Epoch(train) [20][ 400/5005] lr: 9.1354e-05 eta: 9:05:00 time: 0.0794 data_time: 0.0172 memory: 1684 loss: 1.2617 2023/04/02 19:59:39 - mmengine - INFO - Epoch(train) [20][ 500/5005] lr: 9.1354e-05 eta: 9:04:54 time: 0.0777 data_time: 0.0172 memory: 1684 loss: 1.1634 2023/04/02 19:59:47 - mmengine - INFO - Epoch(train) [20][ 600/5005] lr: 9.1354e-05 eta: 9:04:46 time: 0.0782 data_time: 0.0172 memory: 1684 loss: 1.2410 2023/04/02 19:59:54 - mmengine - INFO - Epoch(train) [20][ 700/5005] lr: 9.1354e-05 eta: 9:04:37 time: 0.0747 data_time: 0.0172 memory: 1684 loss: 1.3089 2023/04/02 20:00:03 - mmengine - INFO - Epoch(train) [20][ 800/5005] lr: 9.1354e-05 eta: 9:04:29 time: 0.0769 data_time: 0.0172 memory: 1684 loss: 1.1310 2023/04/02 20:00:10 - mmengine - INFO - Epoch(train) [20][ 900/5005] lr: 9.1354e-05 eta: 9:04:19 time: 0.0745 data_time: 0.0172 memory: 1684 loss: 1.3737 2023/04/02 20:00:11 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:00:18 - mmengine - INFO - Epoch(train) [20][1000/5005] lr: 9.1354e-05 eta: 9:04:11 time: 0.0913 data_time: 0.0171 memory: 1684 loss: 1.4141 2023/04/02 20:00:27 - mmengine - INFO - Epoch(train) [20][1100/5005] lr: 9.1354e-05 eta: 9:04:03 time: 0.0871 data_time: 0.0171 memory: 1684 loss: 1.3213 2023/04/02 20:00:34 - mmengine - INFO - Epoch(train) [20][1200/5005] lr: 9.1354e-05 eta: 9:03:54 time: 0.0821 data_time: 0.0176 memory: 1684 loss: 1.2119 2023/04/02 20:00:42 - mmengine - INFO - Epoch(train) [20][1300/5005] lr: 9.1354e-05 eta: 9:03:45 time: 0.0777 data_time: 0.0170 memory: 1684 loss: 1.2327 2023/04/02 20:00:51 - mmengine - INFO - Epoch(train) [20][1400/5005] lr: 9.1354e-05 eta: 9:03:38 time: 0.0867 data_time: 0.0283 memory: 1684 loss: 1.2606 2023/04/02 20:00:59 - mmengine - INFO - Epoch(train) [20][1500/5005] lr: 9.1354e-05 eta: 9:03:30 time: 0.0783 data_time: 0.0187 memory: 1684 loss: 1.3480 2023/04/02 20:01:06 - mmengine - INFO - Epoch(train) [20][1600/5005] lr: 9.1354e-05 eta: 9:03:20 time: 0.0779 data_time: 0.0182 memory: 1684 loss: 1.4149 2023/04/02 20:01:14 - mmengine - INFO - Epoch(train) [20][1700/5005] lr: 9.1354e-05 eta: 9:03:11 time: 0.0754 data_time: 0.0165 memory: 1684 loss: 1.1702 2023/04/02 20:01:22 - mmengine - INFO - Epoch(train) [20][1800/5005] lr: 9.1354e-05 eta: 9:03:01 time: 0.0781 data_time: 0.0175 memory: 1684 loss: 1.2640 2023/04/02 20:01:30 - mmengine - INFO - Epoch(train) [20][1900/5005] lr: 9.1354e-05 eta: 9:02:52 time: 0.0864 data_time: 0.0181 memory: 1684 loss: 1.0960 2023/04/02 20:01:30 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:01:38 - mmengine - INFO - Epoch(train) [20][2000/5005] lr: 9.1354e-05 eta: 9:02:45 time: 0.0757 data_time: 0.0182 memory: 1684 loss: 1.4933 2023/04/02 20:01:47 - mmengine - INFO - Epoch(train) [20][2100/5005] lr: 9.1354e-05 eta: 9:02:38 time: 0.1118 data_time: 0.0171 memory: 1684 loss: 1.3446 2023/04/02 20:01:55 - mmengine - INFO - Epoch(train) [20][2200/5005] lr: 9.1354e-05 eta: 9:02:30 time: 0.0966 data_time: 0.0182 memory: 1684 loss: 1.2907 2023/04/02 20:02:03 - mmengine - INFO - Epoch(train) [20][2300/5005] lr: 9.1354e-05 eta: 9:02:21 time: 0.0819 data_time: 0.0174 memory: 1684 loss: 1.3455 2023/04/02 20:02:10 - mmengine - INFO - Epoch(train) [20][2400/5005] lr: 9.1354e-05 eta: 9:02:11 time: 0.0789 data_time: 0.0174 memory: 1684 loss: 1.3455 2023/04/02 20:02:18 - mmengine - INFO - Epoch(train) [20][2500/5005] lr: 9.1354e-05 eta: 9:02:03 time: 0.0947 data_time: 0.0256 memory: 1684 loss: 1.0996 2023/04/02 20:02:26 - mmengine - INFO - Epoch(train) [20][2600/5005] lr: 9.1354e-05 eta: 9:01:54 time: 0.0756 data_time: 0.0171 memory: 1684 loss: 1.2072 2023/04/02 20:02:34 - mmengine - INFO - Epoch(train) [20][2700/5005] lr: 9.1354e-05 eta: 9:01:45 time: 0.0766 data_time: 0.0170 memory: 1684 loss: 1.4655 2023/04/02 20:02:42 - mmengine - INFO - Epoch(train) [20][2800/5005] lr: 9.1354e-05 eta: 9:01:36 time: 0.0859 data_time: 0.0172 memory: 1684 loss: 1.2524 2023/04/02 20:02:50 - mmengine - INFO - Epoch(train) [20][2900/5005] lr: 9.1354e-05 eta: 9:01:27 time: 0.0752 data_time: 0.0169 memory: 1684 loss: 1.1994 2023/04/02 20:02:50 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:02:58 - mmengine - INFO - Epoch(train) [20][3000/5005] lr: 9.1354e-05 eta: 9:01:18 time: 0.0748 data_time: 0.0172 memory: 1684 loss: 1.2328 2023/04/02 20:03:06 - mmengine - INFO - Epoch(train) [20][3100/5005] lr: 9.1354e-05 eta: 9:01:11 time: 0.0902 data_time: 0.0169 memory: 1684 loss: 1.1036 2023/04/02 20:03:14 - mmengine - INFO - Epoch(train) [20][3200/5005] lr: 9.1354e-05 eta: 9:01:02 time: 0.0886 data_time: 0.0171 memory: 1684 loss: 1.3552 2023/04/02 20:03:22 - mmengine - INFO - Epoch(train) [20][3300/5005] lr: 9.1354e-05 eta: 9:00:55 time: 0.0769 data_time: 0.0185 memory: 1684 loss: 1.2808 2023/04/02 20:03:30 - mmengine - INFO - Epoch(train) [20][3400/5005] lr: 9.1354e-05 eta: 9:00:46 time: 0.0784 data_time: 0.0185 memory: 1684 loss: 1.0135 2023/04/02 20:03:39 - mmengine - INFO - Epoch(train) [20][3500/5005] lr: 9.1354e-05 eta: 9:00:39 time: 0.0815 data_time: 0.0179 memory: 1684 loss: 1.1059 2023/04/02 20:03:47 - mmengine - INFO - Epoch(train) [20][3600/5005] lr: 9.1354e-05 eta: 9:00:31 time: 0.0919 data_time: 0.0283 memory: 1684 loss: 1.4547 2023/04/02 20:03:55 - mmengine - INFO - Epoch(train) [20][3700/5005] lr: 9.1354e-05 eta: 9:00:23 time: 0.0772 data_time: 0.0176 memory: 1684 loss: 1.4447 2023/04/02 20:04:03 - mmengine - INFO - Epoch(train) [20][3800/5005] lr: 9.1354e-05 eta: 9:00:14 time: 0.0751 data_time: 0.0175 memory: 1684 loss: 1.0900 2023/04/02 20:04:11 - mmengine - INFO - Epoch(train) [20][3900/5005] lr: 9.1354e-05 eta: 9:00:05 time: 0.0945 data_time: 0.0167 memory: 1684 loss: 1.1949 2023/04/02 20:04:11 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:04:19 - mmengine - INFO - Epoch(train) [20][4000/5005] lr: 9.1354e-05 eta: 8:59:57 time: 0.0767 data_time: 0.0175 memory: 1684 loss: 1.1508 2023/04/02 20:04:27 - mmengine - INFO - Epoch(train) [20][4100/5005] lr: 9.1354e-05 eta: 8:59:48 time: 0.0798 data_time: 0.0173 memory: 1684 loss: 1.3446 2023/04/02 20:04:35 - mmengine - INFO - Epoch(train) [20][4200/5005] lr: 9.1354e-05 eta: 8:59:40 time: 0.0774 data_time: 0.0173 memory: 1684 loss: 1.1966 2023/04/02 20:04:43 - mmengine - INFO - Epoch(train) [20][4300/5005] lr: 9.1354e-05 eta: 8:59:33 time: 0.0764 data_time: 0.0174 memory: 1684 loss: 1.2888 2023/04/02 20:04:51 - mmengine - INFO - Epoch(train) [20][4400/5005] lr: 9.1354e-05 eta: 8:59:24 time: 0.0797 data_time: 0.0174 memory: 1684 loss: 1.2939 2023/04/02 20:05:00 - mmengine - INFO - Epoch(train) [20][4500/5005] lr: 9.1354e-05 eta: 8:59:18 time: 0.0826 data_time: 0.0184 memory: 1684 loss: 1.3398 2023/04/02 20:05:08 - mmengine - INFO - Epoch(train) [20][4600/5005] lr: 9.1354e-05 eta: 8:59:11 time: 0.0753 data_time: 0.0192 memory: 1684 loss: 1.4126 2023/04/02 20:05:16 - mmengine - INFO - Epoch(train) [20][4700/5005] lr: 9.1354e-05 eta: 8:59:01 time: 0.0761 data_time: 0.0178 memory: 1684 loss: 1.1259 2023/04/02 20:05:24 - mmengine - INFO - Epoch(train) [20][4800/5005] lr: 9.1354e-05 eta: 8:58:53 time: 0.0875 data_time: 0.0177 memory: 1684 loss: 1.3022 2023/04/02 20:05:32 - mmengine - INFO - Epoch(train) [20][4900/5005] lr: 9.1354e-05 eta: 8:58:45 time: 0.0795 data_time: 0.0172 memory: 1684 loss: 1.0399 2023/04/02 20:05:32 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:05:40 - mmengine - INFO - Epoch(train) [20][5000/5005] lr: 9.1354e-05 eta: 8:58:36 time: 0.0847 data_time: 0.0185 memory: 1684 loss: 1.1853 2023/04/02 20:05:40 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:05:40 - mmengine - INFO - Saving checkpoint at 20 epochs 2023/04/02 20:05:46 - mmengine - INFO - Epoch(val) [20][100/196] eta: 0:00:03 time: 0.0375 data_time: 0.0091 memory: 1684 2023/04/02 20:05:59 - mmengine - INFO - Epoch(val) [20][196/196] qat.accuracy/top1: 69.6080 qat.accuracy/top5: 89.1820data_time: 0.0100 time: 0.0339 2023/04/02 20:06:03 - mmengine - INFO - Epoch(val) [20][100/196] eta: 0:00:03 time: 0.0359 data_time: 0.0075 memory: 513 2023/04/02 20:06:16 - mmengine - INFO - Epoch(val) [20][196/196] qat.accuracy/top1: 69.5580 qat.accuracy/top5: 89.0920data_time: 0.0067 time: 0.0331 2023/04/02 20:06:19 - mmengine - INFO - Epoch(val) [20][100/196] eta: 0:00:02 time: 0.0231 data_time: 0.0123 memory: 470 2023/04/02 20:06:32 - mmengine - INFO - Epoch(val) [20][196/196] original.accuracy/top1: 69.4920 original.accuracy/top5: 89.1200data_time: 0.0331 time: 0.0426 2023/04/02 20:06:42 - mmengine - INFO - Epoch(train) [21][ 100/5005] lr: 9.0451e-05 eta: 8:58:36 time: 0.0844 data_time: 0.0180 memory: 1735 loss: 1.2050 2023/04/02 20:06:50 - mmengine - INFO - Epoch(train) [21][ 200/5005] lr: 9.0451e-05 eta: 8:58:29 time: 0.0821 data_time: 0.0177 memory: 1735 loss: 1.3084 2023/04/02 20:06:59 - mmengine - INFO - Epoch(train) [21][ 300/5005] lr: 9.0451e-05 eta: 8:58:22 time: 0.0742 data_time: 0.0175 memory: 1735 loss: 1.2955 2023/04/02 20:07:07 - mmengine - INFO - Epoch(train) [21][ 400/5005] lr: 9.0451e-05 eta: 8:58:13 time: 0.0881 data_time: 0.0182 memory: 1735 loss: 1.1290 2023/04/02 20:07:14 - mmengine - INFO - Epoch(train) [21][ 500/5005] lr: 9.0451e-05 eta: 8:58:03 time: 0.0742 data_time: 0.0172 memory: 1735 loss: 1.3138 2023/04/02 20:07:22 - mmengine - INFO - Epoch(train) [21][ 600/5005] lr: 9.0451e-05 eta: 8:57:54 time: 0.0793 data_time: 0.0176 memory: 1735 loss: 1.1475 2023/04/02 20:07:30 - mmengine - INFO - Epoch(train) [21][ 700/5005] lr: 9.0451e-05 eta: 8:57:46 time: 0.0809 data_time: 0.0173 memory: 1735 loss: 1.3726 2023/04/02 20:07:38 - mmengine - INFO - Epoch(train) [21][ 800/5005] lr: 9.0451e-05 eta: 8:57:36 time: 0.0894 data_time: 0.0310 memory: 1735 loss: 1.3694 2023/04/02 20:07:46 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:07:46 - mmengine - INFO - Epoch(train) [21][ 900/5005] lr: 9.0451e-05 eta: 8:57:27 time: 0.0754 data_time: 0.0175 memory: 1684 loss: 1.1659 2023/04/02 20:07:54 - mmengine - INFO - Epoch(train) [21][1000/5005] lr: 9.0451e-05 eta: 8:57:19 time: 0.0747 data_time: 0.0170 memory: 1684 loss: 1.1710 2023/04/02 20:08:02 - mmengine - INFO - Epoch(train) [21][1100/5005] lr: 9.0451e-05 eta: 8:57:09 time: 0.0734 data_time: 0.0165 memory: 1684 loss: 1.3798 2023/04/02 20:08:09 - mmengine - INFO - Epoch(train) [21][1200/5005] lr: 9.0451e-05 eta: 8:57:01 time: 0.0743 data_time: 0.0171 memory: 1684 loss: 1.2771 2023/04/02 20:08:17 - mmengine - INFO - Epoch(train) [21][1300/5005] lr: 9.0451e-05 eta: 8:56:51 time: 0.0840 data_time: 0.0174 memory: 1684 loss: 1.0279 2023/04/02 20:08:25 - mmengine - INFO - Epoch(train) [21][1400/5005] lr: 9.0451e-05 eta: 8:56:44 time: 0.0776 data_time: 0.0175 memory: 1684 loss: 1.3623 2023/04/02 20:08:33 - mmengine - INFO - Epoch(train) [21][1500/5005] lr: 9.0451e-05 eta: 8:56:35 time: 0.0760 data_time: 0.0173 memory: 1684 loss: 1.1962 2023/04/02 20:08:41 - mmengine - INFO - Epoch(train) [21][1600/5005] lr: 9.0451e-05 eta: 8:56:26 time: 0.0793 data_time: 0.0173 memory: 1684 loss: 1.3120 2023/04/02 20:08:50 - mmengine - INFO - Epoch(train) [21][1700/5005] lr: 9.0451e-05 eta: 8:56:20 time: 0.0915 data_time: 0.0169 memory: 1684 loss: 1.3985 2023/04/02 20:08:58 - mmengine - INFO - Epoch(train) [21][1800/5005] lr: 9.0451e-05 eta: 8:56:11 time: 0.0773 data_time: 0.0182 memory: 1684 loss: 1.1729 2023/04/02 20:09:06 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:09:06 - mmengine - INFO - Epoch(train) [21][1900/5005] lr: 9.0451e-05 eta: 8:56:02 time: 0.0780 data_time: 0.0171 memory: 1684 loss: 1.2386 2023/04/02 20:09:14 - mmengine - INFO - Epoch(train) [21][2000/5005] lr: 9.0451e-05 eta: 8:55:57 time: 0.0773 data_time: 0.0169 memory: 1684 loss: 1.1867 2023/04/02 20:09:22 - mmengine - INFO - Epoch(train) [21][2100/5005] lr: 9.0451e-05 eta: 8:55:48 time: 0.0782 data_time: 0.0175 memory: 1684 loss: 1.1678 2023/04/02 20:09:30 - mmengine - INFO - Epoch(train) [21][2200/5005] lr: 9.0451e-05 eta: 8:55:40 time: 0.0848 data_time: 0.0190 memory: 1684 loss: 1.2057 2023/04/02 20:09:54 - mmengine - INFO - Epoch(train) [21][2300/5005] lr: 9.0451e-05 eta: 8:56:32 time: 0.4070 data_time: 0.2281 memory: 1684 loss: 1.2670 2023/04/02 20:10:20 - mmengine - INFO - Epoch(train) [21][2400/5005] lr: 9.0451e-05 eta: 8:57:31 time: 0.0762 data_time: 0.0164 memory: 1684 loss: 1.1244 2023/04/02 20:10:28 - mmengine - INFO - Epoch(train) [21][2500/5005] lr: 9.0451e-05 eta: 8:57:24 time: 0.0776 data_time: 0.0171 memory: 1684 loss: 1.3081 2023/04/02 20:10:36 - mmengine - INFO - Epoch(train) [21][2600/5005] lr: 9.0451e-05 eta: 8:57:15 time: 0.0765 data_time: 0.0173 memory: 1684 loss: 1.2554 2023/04/02 20:10:44 - mmengine - INFO - Epoch(train) [21][2700/5005] lr: 9.0451e-05 eta: 8:57:06 time: 0.0771 data_time: 0.0173 memory: 1684 loss: 1.1895 2023/04/02 20:10:52 - mmengine - INFO - Epoch(train) [21][2800/5005] lr: 9.0451e-05 eta: 8:56:59 time: 0.0785 data_time: 0.0181 memory: 1684 loss: 1.2409 2023/04/02 20:11:01 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:11:01 - mmengine - INFO - Epoch(train) [21][2900/5005] lr: 9.0451e-05 eta: 8:56:52 time: 0.0830 data_time: 0.0197 memory: 1684 loss: 1.1972 2023/04/02 20:11:08 - mmengine - INFO - Epoch(train) [21][3000/5005] lr: 9.0451e-05 eta: 8:56:43 time: 0.0781 data_time: 0.0175 memory: 1684 loss: 1.2720 2023/04/02 20:11:17 - mmengine - INFO - Epoch(train) [21][3100/5005] lr: 9.0451e-05 eta: 8:56:37 time: 0.0921 data_time: 0.0172 memory: 1684 loss: 1.2688 2023/04/02 20:11:25 - mmengine - INFO - Epoch(train) [21][3200/5005] lr: 9.0451e-05 eta: 8:56:28 time: 0.0782 data_time: 0.0172 memory: 1684 loss: 1.3648 2023/04/02 20:11:34 - mmengine - INFO - Epoch(train) [21][3300/5005] lr: 9.0451e-05 eta: 8:56:22 time: 0.0918 data_time: 0.0189 memory: 1684 loss: 1.1325 2023/04/02 20:11:42 - mmengine - INFO - Epoch(train) [21][3400/5005] lr: 9.0451e-05 eta: 8:56:15 time: 0.0750 data_time: 0.0175 memory: 1684 loss: 1.2526 2023/04/02 20:11:50 - mmengine - INFO - Epoch(train) [21][3500/5005] lr: 9.0451e-05 eta: 8:56:06 time: 0.0817 data_time: 0.0179 memory: 1684 loss: 1.3909 2023/04/02 20:11:58 - mmengine - INFO - Epoch(train) [21][3600/5005] lr: 9.0451e-05 eta: 8:55:58 time: 0.0963 data_time: 0.0182 memory: 1684 loss: 1.3063 2023/04/02 20:12:06 - mmengine - INFO - Epoch(train) [21][3700/5005] lr: 9.0451e-05 eta: 8:55:48 time: 0.0776 data_time: 0.0176 memory: 1684 loss: 1.3440 2023/04/02 20:12:14 - mmengine - INFO - Epoch(train) [21][3800/5005] lr: 9.0451e-05 eta: 8:55:39 time: 0.0811 data_time: 0.0177 memory: 1684 loss: 1.3517 2023/04/02 20:12:22 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:12:22 - mmengine - INFO - Epoch(train) [21][3900/5005] lr: 9.0451e-05 eta: 8:55:32 time: 0.0783 data_time: 0.0177 memory: 1684 loss: 1.1904 2023/04/02 20:12:30 - mmengine - INFO - Epoch(train) [21][4000/5005] lr: 9.0451e-05 eta: 8:55:24 time: 0.0920 data_time: 0.0347 memory: 1684 loss: 1.2574 2023/04/02 20:12:38 - mmengine - INFO - Epoch(train) [21][4100/5005] lr: 9.0451e-05 eta: 8:55:15 time: 0.0834 data_time: 0.0194 memory: 1684 loss: 1.3503 2023/04/02 20:12:47 - mmengine - INFO - Epoch(train) [21][4200/5005] lr: 9.0451e-05 eta: 8:55:08 time: 0.0782 data_time: 0.0179 memory: 1684 loss: 1.4669 2023/04/02 20:12:55 - mmengine - INFO - Epoch(train) [21][4300/5005] lr: 9.0451e-05 eta: 8:54:59 time: 0.0749 data_time: 0.0174 memory: 1684 loss: 1.3001 2023/04/02 20:13:02 - mmengine - INFO - Epoch(train) [21][4400/5005] lr: 9.0451e-05 eta: 8:54:50 time: 0.0746 data_time: 0.0173 memory: 1684 loss: 1.2670 2023/04/02 20:13:10 - mmengine - INFO - Epoch(train) [21][4500/5005] lr: 9.0451e-05 eta: 8:54:40 time: 0.0781 data_time: 0.0173 memory: 1684 loss: 1.4185 2023/04/02 20:13:19 - mmengine - INFO - Epoch(train) [21][4600/5005] lr: 9.0451e-05 eta: 8:54:34 time: 0.0747 data_time: 0.0172 memory: 1684 loss: 1.3010 2023/04/02 20:13:27 - mmengine - INFO - Epoch(train) [21][4700/5005] lr: 9.0451e-05 eta: 8:54:25 time: 0.0865 data_time: 0.0289 memory: 1684 loss: 1.3484 2023/04/02 20:13:34 - mmengine - INFO - Epoch(train) [21][4800/5005] lr: 9.0451e-05 eta: 8:54:15 time: 0.0752 data_time: 0.0178 memory: 1684 loss: 1.2424 2023/04/02 20:13:42 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:13:42 - mmengine - INFO - Epoch(train) [21][4900/5005] lr: 9.0451e-05 eta: 8:54:06 time: 0.0774 data_time: 0.0178 memory: 1684 loss: 1.3029 2023/04/02 20:13:50 - mmengine - INFO - Epoch(train) [21][5000/5005] lr: 9.0451e-05 eta: 8:53:57 time: 0.0773 data_time: 0.0185 memory: 1684 loss: 1.1976 2023/04/02 20:13:51 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:13:51 - mmengine - INFO - Saving checkpoint at 21 epochs 2023/04/02 20:13:57 - mmengine - INFO - Epoch(val) [21][100/196] eta: 0:00:04 time: 0.0335 data_time: 0.0083 memory: 1684 2023/04/02 20:14:10 - mmengine - INFO - Epoch(val) [21][196/196] qat.accuracy/top1: 69.5940 qat.accuracy/top5: 89.0800data_time: 0.0087 time: 0.0319 2023/04/02 20:14:14 - mmengine - INFO - Epoch(val) [21][100/196] eta: 0:00:03 time: 0.0361 data_time: 0.0087 memory: 513 2023/04/02 20:14:27 - mmengine - INFO - Epoch(val) [21][196/196] qat.accuracy/top1: 69.4940 qat.accuracy/top5: 89.0360data_time: 0.0068 time: 0.0340 2023/04/02 20:14:30 - mmengine - INFO - Epoch(val) [21][100/196] eta: 0:00:02 time: 0.0254 data_time: 0.0147 memory: 470 2023/04/02 20:14:43 - mmengine - INFO - Epoch(val) [21][196/196] original.accuracy/top1: 69.4460 original.accuracy/top5: 89.0060data_time: 0.0351 time: 0.0456 2023/04/02 20:14:52 - mmengine - INFO - Epoch(train) [22][ 100/5005] lr: 8.9508e-05 eta: 8:53:53 time: 0.0856 data_time: 0.0164 memory: 1735 loss: 1.2319 2023/04/02 20:15:01 - mmengine - INFO - Epoch(train) [22][ 200/5005] lr: 8.9508e-05 eta: 8:53:46 time: 0.0763 data_time: 0.0169 memory: 1735 loss: 1.1759 2023/04/02 20:15:09 - mmengine - INFO - Epoch(train) [22][ 300/5005] lr: 8.9508e-05 eta: 8:53:37 time: 0.0781 data_time: 0.0174 memory: 1735 loss: 1.1856 2023/04/02 20:15:17 - mmengine - INFO - Epoch(train) [22][ 400/5005] lr: 8.9508e-05 eta: 8:53:30 time: 0.0953 data_time: 0.0169 memory: 1735 loss: 1.1803 2023/04/02 20:15:26 - mmengine - INFO - Epoch(train) [22][ 500/5005] lr: 8.9508e-05 eta: 8:53:24 time: 0.0928 data_time: 0.0169 memory: 1735 loss: 1.0153 2023/04/02 20:15:34 - mmengine - INFO - Epoch(train) [22][ 600/5005] lr: 8.9508e-05 eta: 8:53:16 time: 0.0757 data_time: 0.0177 memory: 1735 loss: 1.3055 2023/04/02 20:15:42 - mmengine - INFO - Epoch(train) [22][ 700/5005] lr: 8.9508e-05 eta: 8:53:07 time: 0.0822 data_time: 0.0178 memory: 1684 loss: 1.3018 2023/04/02 20:15:50 - mmengine - INFO - Epoch(train) [22][ 800/5005] lr: 8.9508e-05 eta: 8:52:58 time: 0.0763 data_time: 0.0171 memory: 1684 loss: 1.2406 2023/04/02 20:15:57 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:15:58 - mmengine - INFO - Epoch(train) [22][ 900/5005] lr: 8.9508e-05 eta: 8:52:49 time: 0.0751 data_time: 0.0174 memory: 1684 loss: 1.2597 2023/04/02 20:16:06 - mmengine - INFO - Epoch(train) [22][1000/5005] lr: 8.9508e-05 eta: 8:52:41 time: 0.0755 data_time: 0.0173 memory: 1684 loss: 1.3291 2023/04/02 20:16:14 - mmengine - INFO - Epoch(train) [22][1100/5005] lr: 8.9508e-05 eta: 8:52:32 time: 0.0761 data_time: 0.0173 memory: 1684 loss: 1.1303 2023/04/02 20:16:22 - mmengine - INFO - Epoch(train) [22][1200/5005] lr: 8.9508e-05 eta: 8:52:23 time: 0.0784 data_time: 0.0194 memory: 1684 loss: 1.5018 2023/04/02 20:16:30 - mmengine - INFO - Epoch(train) [22][1300/5005] lr: 8.9508e-05 eta: 8:52:15 time: 0.0754 data_time: 0.0175 memory: 1684 loss: 1.6539 2023/04/02 20:16:38 - mmengine - INFO - Epoch(train) [22][1400/5005] lr: 8.9508e-05 eta: 8:52:07 time: 0.0764 data_time: 0.0172 memory: 1684 loss: 1.1099 2023/04/02 20:16:46 - mmengine - INFO - Epoch(train) [22][1500/5005] lr: 8.9508e-05 eta: 8:51:58 time: 0.0781 data_time: 0.0165 memory: 1684 loss: 1.4438 2023/04/02 20:16:54 - mmengine - INFO - Epoch(train) [22][1600/5005] lr: 8.9508e-05 eta: 8:51:51 time: 0.0895 data_time: 0.0171 memory: 1684 loss: 1.2082 2023/04/02 20:17:03 - mmengine - INFO - Epoch(train) [22][1700/5005] lr: 8.9508e-05 eta: 8:51:43 time: 0.0934 data_time: 0.0197 memory: 1684 loss: 1.1899 2023/04/02 20:17:10 - mmengine - INFO - Epoch(train) [22][1800/5005] lr: 8.9508e-05 eta: 8:51:34 time: 0.0773 data_time: 0.0173 memory: 1684 loss: 1.1657 2023/04/02 20:17:18 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:17:18 - mmengine - INFO - Epoch(train) [22][1900/5005] lr: 8.9508e-05 eta: 8:51:25 time: 0.0769 data_time: 0.0173 memory: 1684 loss: 1.2780 2023/04/02 20:17:26 - mmengine - INFO - Epoch(train) [22][2000/5005] lr: 8.9508e-05 eta: 8:51:17 time: 0.0918 data_time: 0.0177 memory: 1684 loss: 1.3987 2023/04/02 20:17:34 - mmengine - INFO - Epoch(train) [22][2100/5005] lr: 8.9508e-05 eta: 8:51:08 time: 0.1050 data_time: 0.0207 memory: 1684 loss: 1.2820 2023/04/02 20:17:43 - mmengine - INFO - Epoch(train) [22][2200/5005] lr: 8.9508e-05 eta: 8:51:01 time: 0.0872 data_time: 0.0290 memory: 1684 loss: 1.2872 2023/04/02 20:17:51 - mmengine - INFO - Epoch(train) [22][2300/5005] lr: 8.9508e-05 eta: 8:50:53 time: 0.0764 data_time: 0.0170 memory: 1684 loss: 1.3747 2023/04/02 20:17:59 - mmengine - INFO - Epoch(train) [22][2400/5005] lr: 8.9508e-05 eta: 8:50:44 time: 0.0901 data_time: 0.0192 memory: 1684 loss: 1.2518 2023/04/02 20:18:07 - mmengine - INFO - Epoch(train) [22][2500/5005] lr: 8.9508e-05 eta: 8:50:34 time: 0.0774 data_time: 0.0174 memory: 1684 loss: 1.1205 2023/04/02 20:18:15 - mmengine - INFO - Epoch(train) [22][2600/5005] lr: 8.9508e-05 eta: 8:50:27 time: 0.0904 data_time: 0.0177 memory: 1684 loss: 1.0713 2023/04/02 20:18:23 - mmengine - INFO - Epoch(train) [22][2700/5005] lr: 8.9508e-05 eta: 8:50:17 time: 0.0771 data_time: 0.0178 memory: 1684 loss: 1.2445 2023/04/02 20:18:31 - mmengine - INFO - Epoch(train) [22][2800/5005] lr: 8.9508e-05 eta: 8:50:11 time: 0.0864 data_time: 0.0175 memory: 1684 loss: 1.3875 2023/04/02 20:18:39 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:18:39 - mmengine - INFO - Epoch(train) [22][2900/5005] lr: 8.9508e-05 eta: 8:50:02 time: 0.0816 data_time: 0.0173 memory: 1684 loss: 1.1387 2023/04/02 20:18:47 - mmengine - INFO - Epoch(train) [22][3000/5005] lr: 8.9508e-05 eta: 8:49:54 time: 0.0779 data_time: 0.0178 memory: 1684 loss: 1.3247 2023/04/02 20:18:55 - mmengine - INFO - Epoch(train) [22][3100/5005] lr: 8.9508e-05 eta: 8:49:45 time: 0.0781 data_time: 0.0193 memory: 1684 loss: 1.3730 2023/04/02 20:19:04 - mmengine - INFO - Epoch(train) [22][3200/5005] lr: 8.9508e-05 eta: 8:49:37 time: 0.0941 data_time: 0.0184 memory: 1684 loss: 1.4168 2023/04/02 20:19:12 - mmengine - INFO - Epoch(train) [22][3300/5005] lr: 8.9508e-05 eta: 8:49:30 time: 0.0754 data_time: 0.0175 memory: 1684 loss: 1.1912 2023/04/02 20:19:20 - mmengine - INFO - Epoch(train) [22][3400/5005] lr: 8.9508e-05 eta: 8:49:23 time: 0.0753 data_time: 0.0171 memory: 1684 loss: 1.3453 2023/04/02 20:19:28 - mmengine - INFO - Epoch(train) [22][3500/5005] lr: 8.9508e-05 eta: 8:49:13 time: 0.0782 data_time: 0.0171 memory: 1684 loss: 1.5175 2023/04/02 20:19:36 - mmengine - INFO - Epoch(train) [22][3600/5005] lr: 8.9508e-05 eta: 8:49:04 time: 0.0768 data_time: 0.0173 memory: 1684 loss: 1.3482 2023/04/02 20:19:44 - mmengine - INFO - Epoch(train) [22][3700/5005] lr: 8.9508e-05 eta: 8:48:56 time: 0.0808 data_time: 0.0219 memory: 1684 loss: 1.2812 2023/04/02 20:19:52 - mmengine - INFO - Epoch(train) [22][3800/5005] lr: 8.9508e-05 eta: 8:48:49 time: 0.0832 data_time: 0.0172 memory: 1684 loss: 1.4449 2023/04/02 20:20:00 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:20:01 - mmengine - INFO - Epoch(train) [22][3900/5005] lr: 8.9508e-05 eta: 8:48:41 time: 0.0864 data_time: 0.0171 memory: 1684 loss: 1.1686 2023/04/02 20:20:08 - mmengine - INFO - Epoch(train) [22][4000/5005] lr: 8.9508e-05 eta: 8:48:32 time: 0.0748 data_time: 0.0174 memory: 1684 loss: 1.2181 2023/04/02 20:20:17 - mmengine - INFO - Epoch(train) [22][4100/5005] lr: 8.9508e-05 eta: 8:48:23 time: 0.1166 data_time: 0.0175 memory: 1684 loss: 1.3271 2023/04/02 20:20:24 - mmengine - INFO - Epoch(train) [22][4200/5005] lr: 8.9508e-05 eta: 8:48:14 time: 0.0795 data_time: 0.0173 memory: 1684 loss: 1.0721 2023/04/02 20:20:32 - mmengine - INFO - Epoch(train) [22][4300/5005] lr: 8.9508e-05 eta: 8:48:06 time: 0.0792 data_time: 0.0181 memory: 1684 loss: 1.3101 2023/04/02 20:20:41 - mmengine - INFO - Epoch(train) [22][4400/5005] lr: 8.9508e-05 eta: 8:47:58 time: 0.0939 data_time: 0.0340 memory: 1684 loss: 1.2964 2023/04/02 20:20:49 - mmengine - INFO - Epoch(train) [22][4500/5005] lr: 8.9508e-05 eta: 8:47:49 time: 0.0902 data_time: 0.0311 memory: 1684 loss: 1.3137 2023/04/02 20:20:57 - mmengine - INFO - Epoch(train) [22][4600/5005] lr: 8.9508e-05 eta: 8:47:41 time: 0.0785 data_time: 0.0177 memory: 1684 loss: 1.2145 2023/04/02 20:21:05 - mmengine - INFO - Epoch(train) [22][4700/5005] lr: 8.9508e-05 eta: 8:47:32 time: 0.0763 data_time: 0.0176 memory: 1684 loss: 1.0382 2023/04/02 20:21:12 - mmengine - INFO - Epoch(train) [22][4800/5005] lr: 8.9508e-05 eta: 8:47:22 time: 0.0742 data_time: 0.0175 memory: 1684 loss: 1.2507 2023/04/02 20:21:20 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:21:20 - mmengine - INFO - Epoch(train) [22][4900/5005] lr: 8.9508e-05 eta: 8:47:13 time: 0.0772 data_time: 0.0184 memory: 1684 loss: 1.2466 2023/04/02 20:21:28 - mmengine - INFO - Epoch(train) [22][5000/5005] lr: 8.9508e-05 eta: 8:47:06 time: 0.0783 data_time: 0.0184 memory: 1684 loss: 1.1908 2023/04/02 20:21:29 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:21:29 - mmengine - INFO - Saving checkpoint at 22 epochs 2023/04/02 20:21:35 - mmengine - INFO - Epoch(val) [22][100/196] eta: 0:00:03 time: 0.0346 data_time: 0.0084 memory: 1684 2023/04/02 20:21:47 - mmengine - INFO - Epoch(val) [22][196/196] qat.accuracy/top1: 69.5420 qat.accuracy/top5: 89.1400data_time: 0.0066 time: 0.0308 2023/04/02 20:21:51 - mmengine - INFO - Epoch(val) [22][100/196] eta: 0:00:03 time: 0.0359 data_time: 0.0079 memory: 513 2023/04/02 20:22:04 - mmengine - INFO - Epoch(val) [22][196/196] qat.accuracy/top1: 69.5100 qat.accuracy/top5: 89.1160data_time: 0.0206 time: 0.0466 2023/04/02 20:22:07 - mmengine - INFO - Epoch(val) [22][100/196] eta: 0:00:02 time: 0.0255 data_time: 0.0150 memory: 470 2023/04/02 20:22:20 - mmengine - INFO - Epoch(val) [22][196/196] original.accuracy/top1: 69.5660 original.accuracy/top5: 89.0260data_time: 0.0309 time: 0.0403 2023/04/02 20:22:29 - mmengine - INFO - Epoch(train) [23][ 100/5005] lr: 8.8526e-05 eta: 8:47:01 time: 0.0815 data_time: 0.0172 memory: 1735 loss: 1.0895 2023/04/02 20:22:38 - mmengine - INFO - Epoch(train) [23][ 200/5005] lr: 8.8526e-05 eta: 8:46:55 time: 0.0805 data_time: 0.0175 memory: 1735 loss: 1.2110 2023/04/02 20:22:46 - mmengine - INFO - Epoch(train) [23][ 300/5005] lr: 8.8526e-05 eta: 8:46:49 time: 0.0850 data_time: 0.0171 memory: 1684 loss: 1.0709 2023/04/02 20:22:55 - mmengine - INFO - Epoch(train) [23][ 400/5005] lr: 8.8526e-05 eta: 8:46:42 time: 0.0783 data_time: 0.0176 memory: 1684 loss: 1.3087 2023/04/02 20:23:03 - mmengine - INFO - Epoch(train) [23][ 500/5005] lr: 8.8526e-05 eta: 8:46:33 time: 0.0782 data_time: 0.0174 memory: 1684 loss: 1.0917 2023/04/02 20:23:11 - mmengine - INFO - Epoch(train) [23][ 600/5005] lr: 8.8526e-05 eta: 8:46:25 time: 0.0767 data_time: 0.0174 memory: 1684 loss: 1.0827 2023/04/02 20:23:19 - mmengine - INFO - Epoch(train) [23][ 700/5005] lr: 8.8526e-05 eta: 8:46:18 time: 0.0754 data_time: 0.0176 memory: 1684 loss: 1.3496 2023/04/02 20:23:28 - mmengine - INFO - Epoch(train) [23][ 800/5005] lr: 8.8526e-05 eta: 8:46:10 time: 0.0876 data_time: 0.0173 memory: 1684 loss: 1.2669 2023/04/02 20:23:35 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:23:35 - mmengine - INFO - Epoch(train) [23][ 900/5005] lr: 8.8526e-05 eta: 8:46:01 time: 0.0788 data_time: 0.0171 memory: 1684 loss: 1.4875 2023/04/02 20:23:43 - mmengine - INFO - Epoch(train) [23][1000/5005] lr: 8.8526e-05 eta: 8:45:52 time: 0.0758 data_time: 0.0171 memory: 1684 loss: 1.1257 2023/04/02 20:23:51 - mmengine - INFO - Epoch(train) [23][1100/5005] lr: 8.8526e-05 eta: 8:45:43 time: 0.0869 data_time: 0.0180 memory: 1684 loss: 1.2673 2023/04/02 20:23:59 - mmengine - INFO - Epoch(train) [23][1200/5005] lr: 8.8526e-05 eta: 8:45:35 time: 0.0787 data_time: 0.0177 memory: 1684 loss: 1.2587 2023/04/02 20:24:07 - mmengine - INFO - Epoch(train) [23][1300/5005] lr: 8.8526e-05 eta: 8:45:26 time: 0.0752 data_time: 0.0174 memory: 1684 loss: 1.0380 2023/04/02 20:24:15 - mmengine - INFO - Epoch(train) [23][1400/5005] lr: 8.8526e-05 eta: 8:45:17 time: 0.0751 data_time: 0.0171 memory: 1684 loss: 1.2214 2023/04/02 20:24:23 - mmengine - INFO - Epoch(train) [23][1500/5005] lr: 8.8526e-05 eta: 8:45:08 time: 0.0750 data_time: 0.0158 memory: 1684 loss: 1.3399 2023/04/02 20:24:31 - mmengine - INFO - Epoch(train) [23][1600/5005] lr: 8.8526e-05 eta: 8:44:58 time: 0.0745 data_time: 0.0176 memory: 1684 loss: 1.3969 2023/04/02 20:24:38 - mmengine - INFO - Epoch(train) [23][1700/5005] lr: 8.8526e-05 eta: 8:44:48 time: 0.0745 data_time: 0.0173 memory: 1684 loss: 1.4012 2023/04/02 20:24:46 - mmengine - INFO - Epoch(train) [23][1800/5005] lr: 8.8526e-05 eta: 8:44:40 time: 0.0913 data_time: 0.0174 memory: 1684 loss: 1.1141 2023/04/02 20:24:54 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:24:54 - mmengine - INFO - Epoch(train) [23][1900/5005] lr: 8.8526e-05 eta: 8:44:31 time: 0.0744 data_time: 0.0171 memory: 1684 loss: 1.2071 2023/04/02 20:25:02 - mmengine - INFO - Epoch(train) [23][2000/5005] lr: 8.8526e-05 eta: 8:44:22 time: 0.0755 data_time: 0.0172 memory: 1684 loss: 1.1650 2023/04/02 20:25:10 - mmengine - INFO - Epoch(train) [23][2100/5005] lr: 8.8526e-05 eta: 8:44:13 time: 0.0746 data_time: 0.0174 memory: 1684 loss: 1.2017 2023/04/02 20:25:18 - mmengine - INFO - Epoch(train) [23][2200/5005] lr: 8.8526e-05 eta: 8:44:04 time: 0.0771 data_time: 0.0178 memory: 1684 loss: 0.9978 2023/04/02 20:25:26 - mmengine - INFO - Epoch(train) [23][2300/5005] lr: 8.8526e-05 eta: 8:43:54 time: 0.0759 data_time: 0.0180 memory: 1684 loss: 1.2447 2023/04/02 20:25:34 - mmengine - INFO - Epoch(train) [23][2400/5005] lr: 8.8526e-05 eta: 8:43:46 time: 0.0794 data_time: 0.0179 memory: 1684 loss: 1.1801 2023/04/02 20:25:42 - mmengine - INFO - Epoch(train) [23][2500/5005] lr: 8.8526e-05 eta: 8:43:38 time: 0.0921 data_time: 0.0171 memory: 1684 loss: 1.0965 2023/04/02 20:25:49 - mmengine - INFO - Epoch(train) [23][2600/5005] lr: 8.8526e-05 eta: 8:43:28 time: 0.0747 data_time: 0.0171 memory: 1684 loss: 1.2834 2023/04/02 20:25:57 - mmengine - INFO - Epoch(train) [23][2700/5005] lr: 8.8526e-05 eta: 8:43:19 time: 0.0822 data_time: 0.0229 memory: 1684 loss: 1.3151 2023/04/02 20:26:05 - mmengine - INFO - Epoch(train) [23][2800/5005] lr: 8.8526e-05 eta: 8:43:10 time: 0.0757 data_time: 0.0173 memory: 1684 loss: 1.0119 2023/04/02 20:26:12 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:26:12 - mmengine - INFO - Epoch(train) [23][2900/5005] lr: 8.8526e-05 eta: 8:42:59 time: 0.0744 data_time: 0.0174 memory: 1684 loss: 1.1530 2023/04/02 20:26:20 - mmengine - INFO - Epoch(train) [23][3000/5005] lr: 8.8526e-05 eta: 8:42:50 time: 0.0764 data_time: 0.0173 memory: 1684 loss: 1.3570 2023/04/02 20:26:28 - mmengine - INFO - Epoch(train) [23][3100/5005] lr: 8.8526e-05 eta: 8:42:42 time: 0.0771 data_time: 0.0172 memory: 1684 loss: 1.2835 2023/04/02 20:26:36 - mmengine - INFO - Epoch(train) [23][3200/5005] lr: 8.8526e-05 eta: 8:42:33 time: 0.0780 data_time: 0.0176 memory: 1684 loss: 1.2260 2023/04/02 20:26:44 - mmengine - INFO - Epoch(train) [23][3300/5005] lr: 8.8526e-05 eta: 8:42:23 time: 0.0780 data_time: 0.0174 memory: 1684 loss: 1.2361 2023/04/02 20:26:52 - mmengine - INFO - Epoch(train) [23][3400/5005] lr: 8.8526e-05 eta: 8:42:14 time: 0.0754 data_time: 0.0173 memory: 1684 loss: 1.1282 2023/04/02 20:27:00 - mmengine - INFO - Epoch(train) [23][3500/5005] lr: 8.8526e-05 eta: 8:42:06 time: 0.0753 data_time: 0.0172 memory: 1684 loss: 1.2139 2023/04/02 20:27:08 - mmengine - INFO - Epoch(train) [23][3600/5005] lr: 8.8526e-05 eta: 8:41:56 time: 0.0760 data_time: 0.0174 memory: 1684 loss: 1.1576 2023/04/02 20:27:16 - mmengine - INFO - Epoch(train) [23][3700/5005] lr: 8.8526e-05 eta: 8:41:48 time: 0.0759 data_time: 0.0172 memory: 1684 loss: 1.2095 2023/04/02 20:27:23 - mmengine - INFO - Epoch(train) [23][3800/5005] lr: 8.8526e-05 eta: 8:41:38 time: 0.0746 data_time: 0.0173 memory: 1684 loss: 1.0388 2023/04/02 20:27:30 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:27:31 - mmengine - INFO - Epoch(train) [23][3900/5005] lr: 8.8526e-05 eta: 8:41:29 time: 0.0744 data_time: 0.0175 memory: 1684 loss: 1.2486 2023/04/02 20:27:39 - mmengine - INFO - Epoch(train) [23][4000/5005] lr: 8.8526e-05 eta: 8:41:19 time: 0.0772 data_time: 0.0170 memory: 1684 loss: 1.0906 2023/04/02 20:27:47 - mmengine - INFO - Epoch(train) [23][4100/5005] lr: 8.8526e-05 eta: 8:41:10 time: 0.0767 data_time: 0.0176 memory: 1684 loss: 1.2160 2023/04/02 20:27:55 - mmengine - INFO - Epoch(train) [23][4200/5005] lr: 8.8526e-05 eta: 8:41:02 time: 0.0882 data_time: 0.0171 memory: 1684 loss: 1.3222 2023/04/02 20:28:02 - mmengine - INFO - Epoch(train) [23][4300/5005] lr: 8.8526e-05 eta: 8:40:53 time: 0.0766 data_time: 0.0174 memory: 1684 loss: 1.2561 2023/04/02 20:28:10 - mmengine - INFO - Epoch(train) [23][4400/5005] lr: 8.8526e-05 eta: 8:40:43 time: 0.0781 data_time: 0.0171 memory: 1684 loss: 1.2080 2023/04/02 20:28:18 - mmengine - INFO - Epoch(train) [23][4500/5005] lr: 8.8526e-05 eta: 8:40:34 time: 0.0756 data_time: 0.0173 memory: 1684 loss: 1.2121 2023/04/02 20:28:26 - mmengine - INFO - Epoch(train) [23][4600/5005] lr: 8.8526e-05 eta: 8:40:26 time: 0.0757 data_time: 0.0171 memory: 1684 loss: 1.2834 2023/04/02 20:28:34 - mmengine - INFO - Epoch(train) [23][4700/5005] lr: 8.8526e-05 eta: 8:40:17 time: 0.0763 data_time: 0.0173 memory: 1684 loss: 0.9988 2023/04/02 20:28:42 - mmengine - INFO - Epoch(train) [23][4800/5005] lr: 8.8526e-05 eta: 8:40:08 time: 0.0749 data_time: 0.0167 memory: 1684 loss: 1.3055 2023/04/02 20:28:49 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:28:50 - mmengine - INFO - Epoch(train) [23][4900/5005] lr: 8.8526e-05 eta: 8:39:59 time: 0.0752 data_time: 0.0164 memory: 1684 loss: 1.2769 2023/04/02 20:28:57 - mmengine - INFO - Epoch(train) [23][5000/5005] lr: 8.8526e-05 eta: 8:39:49 time: 0.0756 data_time: 0.0181 memory: 1684 loss: 1.4532 2023/04/02 20:28:58 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:28:58 - mmengine - INFO - Saving checkpoint at 23 epochs 2023/04/02 20:29:03 - mmengine - INFO - Epoch(val) [23][100/196] eta: 0:00:03 time: 0.0342 data_time: 0.0082 memory: 1684 2023/04/02 20:29:16 - mmengine - INFO - Epoch(val) [23][196/196] qat.accuracy/top1: 69.5040 qat.accuracy/top5: 89.0400data_time: 0.0096 time: 0.0332 2023/04/02 20:29:20 - mmengine - INFO - Epoch(val) [23][100/196] eta: 0:00:03 time: 0.0367 data_time: 0.0083 memory: 513 2023/04/02 20:29:33 - mmengine - INFO - Epoch(val) [23][196/196] qat.accuracy/top1: 69.4800 qat.accuracy/top5: 89.0620data_time: 0.0067 time: 0.0323 2023/04/02 20:29:36 - mmengine - INFO - Epoch(val) [23][100/196] eta: 0:00:02 time: 0.0268 data_time: 0.0160 memory: 470 2023/04/02 20:29:49 - mmengine - INFO - Epoch(val) [23][196/196] original.accuracy/top1: 69.5360 original.accuracy/top5: 89.0900data_time: 0.0252 time: 0.0351 2023/04/02 20:29:58 - mmengine - INFO - Epoch(train) [24][ 100/5005] lr: 8.7506e-05 eta: 8:39:44 time: 0.0924 data_time: 0.0173 memory: 1735 loss: 1.1617 2023/04/02 20:30:06 - mmengine - INFO - Epoch(train) [24][ 200/5005] lr: 8.7506e-05 eta: 8:39:36 time: 0.0872 data_time: 0.0177 memory: 1735 loss: 1.0345 2023/04/02 20:30:14 - mmengine - INFO - Epoch(train) [24][ 300/5005] lr: 8.7506e-05 eta: 8:39:27 time: 0.0810 data_time: 0.0174 memory: 1735 loss: 1.3359 2023/04/02 20:30:22 - mmengine - INFO - Epoch(train) [24][ 400/5005] lr: 8.7506e-05 eta: 8:39:20 time: 0.0796 data_time: 0.0170 memory: 1735 loss: 1.0882 2023/04/02 20:30:31 - mmengine - INFO - Epoch(train) [24][ 500/5005] lr: 8.7506e-05 eta: 8:39:13 time: 0.0915 data_time: 0.0173 memory: 1735 loss: 1.4909 2023/04/02 20:30:39 - mmengine - INFO - Epoch(train) [24][ 600/5005] lr: 8.7506e-05 eta: 8:39:07 time: 0.0794 data_time: 0.0171 memory: 1735 loss: 1.2906 2023/04/02 20:30:48 - mmengine - INFO - Epoch(train) [24][ 700/5005] lr: 8.7506e-05 eta: 8:39:00 time: 0.0859 data_time: 0.0197 memory: 1735 loss: 1.2696 2023/04/02 20:30:56 - mmengine - INFO - Epoch(train) [24][ 800/5005] lr: 8.7506e-05 eta: 8:38:53 time: 0.0961 data_time: 0.0171 memory: 1735 loss: 1.1492 2023/04/02 20:31:03 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:31:04 - mmengine - INFO - Epoch(train) [24][ 900/5005] lr: 8.7506e-05 eta: 8:38:45 time: 0.0809 data_time: 0.0175 memory: 1735 loss: 1.4276 2023/04/02 20:31:13 - mmengine - INFO - Epoch(train) [24][1000/5005] lr: 8.7506e-05 eta: 8:38:38 time: 0.0782 data_time: 0.0170 memory: 1735 loss: 1.1420 2023/04/02 20:31:21 - mmengine - INFO - Epoch(train) [24][1100/5005] lr: 8.7506e-05 eta: 8:38:31 time: 0.0796 data_time: 0.0173 memory: 1684 loss: 1.1655 2023/04/02 20:31:29 - mmengine - INFO - Epoch(train) [24][1200/5005] lr: 8.7506e-05 eta: 8:38:22 time: 0.0775 data_time: 0.0172 memory: 1684 loss: 1.4475 2023/04/02 20:31:37 - mmengine - INFO - Epoch(train) [24][1300/5005] lr: 8.7506e-05 eta: 8:38:12 time: 0.0752 data_time: 0.0175 memory: 1684 loss: 1.1161 2023/04/02 20:31:45 - mmengine - INFO - Epoch(train) [24][1400/5005] lr: 8.7506e-05 eta: 8:38:03 time: 0.0754 data_time: 0.0171 memory: 1684 loss: 1.3741 2023/04/02 20:31:53 - mmengine - INFO - Epoch(train) [24][1500/5005] lr: 8.7506e-05 eta: 8:37:54 time: 0.0769 data_time: 0.0170 memory: 1684 loss: 1.1171 2023/04/02 20:32:01 - mmengine - INFO - Epoch(train) [24][1600/5005] lr: 8.7506e-05 eta: 8:37:46 time: 0.0754 data_time: 0.0175 memory: 1684 loss: 1.3349 2023/04/02 20:32:09 - mmengine - INFO - Epoch(train) [24][1700/5005] lr: 8.7506e-05 eta: 8:37:38 time: 0.0792 data_time: 0.0171 memory: 1684 loss: 1.1223 2023/04/02 20:32:17 - mmengine - INFO - Epoch(train) [24][1800/5005] lr: 8.7506e-05 eta: 8:37:31 time: 0.0811 data_time: 0.0174 memory: 1684 loss: 1.2206 2023/04/02 20:32:24 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:32:26 - mmengine - INFO - Epoch(train) [24][1900/5005] lr: 8.7506e-05 eta: 8:37:23 time: 0.0773 data_time: 0.0172 memory: 1684 loss: 1.2672 2023/04/02 20:32:33 - mmengine - INFO - Epoch(train) [24][2000/5005] lr: 8.7506e-05 eta: 8:37:14 time: 0.0768 data_time: 0.0175 memory: 1684 loss: 1.1373 2023/04/02 20:32:42 - mmengine - INFO - Epoch(train) [24][2100/5005] lr: 8.7506e-05 eta: 8:37:06 time: 0.1068 data_time: 0.0293 memory: 1684 loss: 1.1181 2023/04/02 20:32:50 - mmengine - INFO - Epoch(train) [24][2200/5005] lr: 8.7506e-05 eta: 8:36:58 time: 0.0815 data_time: 0.0174 memory: 1684 loss: 1.1653 2023/04/02 20:32:58 - mmengine - INFO - Epoch(train) [24][2300/5005] lr: 8.7506e-05 eta: 8:36:50 time: 0.0767 data_time: 0.0171 memory: 1684 loss: 1.1166 2023/04/02 20:33:06 - mmengine - INFO - Epoch(train) [24][2400/5005] lr: 8.7506e-05 eta: 8:36:41 time: 0.0753 data_time: 0.0170 memory: 1684 loss: 1.3070 2023/04/02 20:33:14 - mmengine - INFO - Epoch(train) [24][2500/5005] lr: 8.7506e-05 eta: 8:36:32 time: 0.0759 data_time: 0.0172 memory: 1684 loss: 1.3064 2023/04/02 20:33:21 - mmengine - INFO - Epoch(train) [24][2600/5005] lr: 8.7506e-05 eta: 8:36:23 time: 0.0780 data_time: 0.0176 memory: 1684 loss: 1.2509 2023/04/02 20:33:30 - mmengine - INFO - Epoch(train) [24][2700/5005] lr: 8.7506e-05 eta: 8:36:15 time: 0.0960 data_time: 0.0166 memory: 1684 loss: 1.1167 2023/04/02 20:33:38 - mmengine - INFO - Epoch(train) [24][2800/5005] lr: 8.7506e-05 eta: 8:36:07 time: 0.0789 data_time: 0.0191 memory: 1684 loss: 1.1642 2023/04/02 20:33:44 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:33:46 - mmengine - INFO - Epoch(train) [24][2900/5005] lr: 8.7506e-05 eta: 8:35:57 time: 0.0785 data_time: 0.0196 memory: 1684 loss: 1.2285 2023/04/02 20:33:53 - mmengine - INFO - Epoch(train) [24][3000/5005] lr: 8.7506e-05 eta: 8:35:49 time: 0.0793 data_time: 0.0172 memory: 1684 loss: 1.3014 2023/04/02 20:34:01 - mmengine - INFO - Epoch(train) [24][3100/5005] lr: 8.7506e-05 eta: 8:35:39 time: 0.0775 data_time: 0.0180 memory: 1684 loss: 1.3176 2023/04/02 20:34:09 - mmengine - INFO - Epoch(train) [24][3200/5005] lr: 8.7506e-05 eta: 8:35:30 time: 0.0759 data_time: 0.0173 memory: 1684 loss: 1.3841 2023/04/02 20:34:17 - mmengine - INFO - Epoch(train) [24][3300/5005] lr: 8.7506e-05 eta: 8:35:22 time: 0.0756 data_time: 0.0169 memory: 1684 loss: 1.1437 2023/04/02 20:34:25 - mmengine - INFO - Epoch(train) [24][3400/5005] lr: 8.7506e-05 eta: 8:35:13 time: 0.0745 data_time: 0.0173 memory: 1684 loss: 1.3524 2023/04/02 20:34:33 - mmengine - INFO - Epoch(train) [24][3500/5005] lr: 8.7506e-05 eta: 8:35:04 time: 0.0779 data_time: 0.0170 memory: 1684 loss: 1.3201 2023/04/02 20:34:41 - mmengine - INFO - Epoch(train) [24][3600/5005] lr: 8.7506e-05 eta: 8:34:56 time: 0.0931 data_time: 0.0170 memory: 1684 loss: 1.2234 2023/04/02 20:34:49 - mmengine - INFO - Epoch(train) [24][3700/5005] lr: 8.7506e-05 eta: 8:34:47 time: 0.0749 data_time: 0.0173 memory: 1684 loss: 1.4565 2023/04/02 20:34:56 - mmengine - INFO - Epoch(train) [24][3800/5005] lr: 8.7506e-05 eta: 8:34:37 time: 0.0748 data_time: 0.0173 memory: 1684 loss: 1.1803 2023/04/02 20:35:03 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:35:05 - mmengine - INFO - Epoch(train) [24][3900/5005] lr: 8.7506e-05 eta: 8:34:29 time: 0.0756 data_time: 0.0165 memory: 1684 loss: 1.2272 2023/04/02 20:35:12 - mmengine - INFO - Epoch(train) [24][4000/5005] lr: 8.7506e-05 eta: 8:34:20 time: 0.0755 data_time: 0.0174 memory: 1684 loss: 1.5106 2023/04/02 20:35:20 - mmengine - INFO - Epoch(train) [24][4100/5005] lr: 8.7506e-05 eta: 8:34:11 time: 0.0782 data_time: 0.0170 memory: 1684 loss: 1.3258 2023/04/02 20:35:28 - mmengine - INFO - Epoch(train) [24][4200/5005] lr: 8.7506e-05 eta: 8:34:03 time: 0.0754 data_time: 0.0184 memory: 1684 loss: 1.2806 2023/04/02 20:35:36 - mmengine - INFO - Epoch(train) [24][4300/5005] lr: 8.7506e-05 eta: 8:33:54 time: 0.0759 data_time: 0.0173 memory: 1684 loss: 1.2122 2023/04/02 20:35:44 - mmengine - INFO - Epoch(train) [24][4400/5005] lr: 8.7506e-05 eta: 8:33:45 time: 0.0751 data_time: 0.0171 memory: 1684 loss: 1.2039 2023/04/02 20:35:52 - mmengine - INFO - Epoch(train) [24][4500/5005] lr: 8.7506e-05 eta: 8:33:36 time: 0.0760 data_time: 0.0172 memory: 1684 loss: 1.3117 2023/04/02 20:36:00 - mmengine - INFO - Epoch(train) [24][4600/5005] lr: 8.7506e-05 eta: 8:33:28 time: 0.0886 data_time: 0.0170 memory: 1684 loss: 1.1892 2023/04/02 20:36:08 - mmengine - INFO - Epoch(train) [24][4700/5005] lr: 8.7506e-05 eta: 8:33:20 time: 0.0755 data_time: 0.0178 memory: 1684 loss: 1.4208 2023/04/02 20:36:16 - mmengine - INFO - Epoch(train) [24][4800/5005] lr: 8.7506e-05 eta: 8:33:10 time: 0.0748 data_time: 0.0173 memory: 1684 loss: 1.3238 2023/04/02 20:36:23 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:36:24 - mmengine - INFO - Epoch(train) [24][4900/5005] lr: 8.7506e-05 eta: 8:33:02 time: 0.0756 data_time: 0.0172 memory: 1684 loss: 1.1864 2023/04/02 20:36:32 - mmengine - INFO - Epoch(train) [24][5000/5005] lr: 8.7506e-05 eta: 8:32:54 time: 0.0900 data_time: 0.0182 memory: 1684 loss: 1.2558 2023/04/02 20:36:32 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:36:33 - mmengine - INFO - Saving checkpoint at 24 epochs 2023/04/02 20:36:38 - mmengine - INFO - Epoch(val) [24][100/196] eta: 0:00:03 time: 0.0333 data_time: 0.0077 memory: 1684 2023/04/02 20:36:50 - mmengine - INFO - Epoch(val) [24][196/196] qat.accuracy/top1: 69.4880 qat.accuracy/top5: 89.0980data_time: 0.0089 time: 0.0327 2023/04/02 20:36:55 - mmengine - INFO - Epoch(val) [24][100/196] eta: 0:00:03 time: 0.0357 data_time: 0.0080 memory: 513 2023/04/02 20:37:07 - mmengine - INFO - Epoch(val) [24][196/196] qat.accuracy/top1: 69.4540 qat.accuracy/top5: 89.0280data_time: 0.0119 time: 0.0381 2023/04/02 20:37:11 - mmengine - INFO - Epoch(val) [24][100/196] eta: 0:00:02 time: 0.0239 data_time: 0.0134 memory: 470 2023/04/02 20:37:23 - mmengine - INFO - Epoch(val) [24][196/196] original.accuracy/top1: 69.4000 original.accuracy/top5: 88.9960data_time: 0.0395 time: 0.0500 2023/04/02 20:37:33 - mmengine - INFO - Epoch(train) [25][ 100/5005] lr: 8.6448e-05 eta: 8:32:50 time: 0.0807 data_time: 0.0175 memory: 1735 loss: 1.1223 2023/04/02 20:37:41 - mmengine - INFO - Epoch(train) [25][ 200/5005] lr: 8.6448e-05 eta: 8:32:42 time: 0.0792 data_time: 0.0174 memory: 1735 loss: 1.2334 2023/04/02 20:37:49 - mmengine - INFO - Epoch(train) [25][ 300/5005] lr: 8.6448e-05 eta: 8:32:34 time: 0.0764 data_time: 0.0179 memory: 1735 loss: 1.5060 2023/04/02 20:37:57 - mmengine - INFO - Epoch(train) [25][ 400/5005] lr: 8.6448e-05 eta: 8:32:25 time: 0.0878 data_time: 0.0185 memory: 1735 loss: 1.2229 2023/04/02 20:38:05 - mmengine - INFO - Epoch(train) [25][ 500/5005] lr: 8.6448e-05 eta: 8:32:17 time: 0.0786 data_time: 0.0175 memory: 1735 loss: 1.0285 2023/04/02 20:38:14 - mmengine - INFO - Epoch(train) [25][ 600/5005] lr: 8.6448e-05 eta: 8:32:10 time: 0.0789 data_time: 0.0180 memory: 1735 loss: 1.4622 2023/04/02 20:38:22 - mmengine - INFO - Epoch(train) [25][ 700/5005] lr: 8.6448e-05 eta: 8:32:02 time: 0.0801 data_time: 0.0171 memory: 1735 loss: 1.2679 2023/04/02 20:38:30 - mmengine - INFO - Epoch(train) [25][ 800/5005] lr: 8.6448e-05 eta: 8:31:55 time: 0.0767 data_time: 0.0172 memory: 1735 loss: 1.5216 2023/04/02 20:38:37 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:38:38 - mmengine - INFO - Epoch(train) [25][ 900/5005] lr: 8.6448e-05 eta: 8:31:47 time: 0.0752 data_time: 0.0175 memory: 1684 loss: 1.1505 2023/04/02 20:38:46 - mmengine - INFO - Epoch(train) [25][1000/5005] lr: 8.6448e-05 eta: 8:31:38 time: 0.0777 data_time: 0.0172 memory: 1684 loss: 1.3423 2023/04/02 20:38:54 - mmengine - INFO - Epoch(train) [25][1100/5005] lr: 8.6448e-05 eta: 8:31:29 time: 0.0768 data_time: 0.0172 memory: 1684 loss: 1.1415 2023/04/02 20:39:02 - mmengine - INFO - Epoch(train) [25][1200/5005] lr: 8.6448e-05 eta: 8:31:22 time: 0.0905 data_time: 0.0172 memory: 1684 loss: 1.1791 2023/04/02 20:39:11 - mmengine - INFO - Epoch(train) [25][1300/5005] lr: 8.6448e-05 eta: 8:31:14 time: 0.0769 data_time: 0.0177 memory: 1684 loss: 1.3419 2023/04/02 20:39:19 - mmengine - INFO - Epoch(train) [25][1400/5005] lr: 8.6448e-05 eta: 8:31:05 time: 0.0784 data_time: 0.0171 memory: 1684 loss: 1.0146 2023/04/02 20:39:27 - mmengine - INFO - Epoch(train) [25][1500/5005] lr: 8.6448e-05 eta: 8:30:57 time: 0.0798 data_time: 0.0174 memory: 1684 loss: 1.2033 2023/04/02 20:39:35 - mmengine - INFO - Epoch(train) [25][1600/5005] lr: 8.6448e-05 eta: 8:30:50 time: 0.0806 data_time: 0.0170 memory: 1684 loss: 1.3319 2023/04/02 20:39:44 - mmengine - INFO - Epoch(train) [25][1700/5005] lr: 8.6448e-05 eta: 8:30:42 time: 0.0766 data_time: 0.0174 memory: 1684 loss: 1.2895 2023/04/02 20:39:52 - mmengine - INFO - Epoch(train) [25][1800/5005] lr: 8.6448e-05 eta: 8:30:35 time: 0.0878 data_time: 0.0171 memory: 1684 loss: 1.4216 2023/04/02 20:39:58 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:40:00 - mmengine - INFO - Epoch(train) [25][1900/5005] lr: 8.6448e-05 eta: 8:30:27 time: 0.0749 data_time: 0.0174 memory: 1684 loss: 1.2362 2023/04/02 20:40:08 - mmengine - INFO - Epoch(train) [25][2000/5005] lr: 8.6448e-05 eta: 8:30:17 time: 0.0759 data_time: 0.0175 memory: 1684 loss: 1.3230 2023/04/02 20:40:15 - mmengine - INFO - Epoch(train) [25][2100/5005] lr: 8.6448e-05 eta: 8:30:08 time: 0.0809 data_time: 0.0171 memory: 1684 loss: 1.3282 2023/04/02 20:40:23 - mmengine - INFO - Epoch(train) [25][2200/5005] lr: 8.6448e-05 eta: 8:29:59 time: 0.0797 data_time: 0.0172 memory: 1684 loss: 1.1963 2023/04/02 20:40:31 - mmengine - INFO - Epoch(train) [25][2300/5005] lr: 8.6448e-05 eta: 8:29:51 time: 0.0783 data_time: 0.0178 memory: 1684 loss: 1.2352 2023/04/02 20:40:40 - mmengine - INFO - Epoch(train) [25][2400/5005] lr: 8.6448e-05 eta: 8:29:44 time: 0.1036 data_time: 0.0300 memory: 1684 loss: 1.1646 2023/04/02 20:40:48 - mmengine - INFO - Epoch(train) [25][2500/5005] lr: 8.6448e-05 eta: 8:29:35 time: 0.0764 data_time: 0.0176 memory: 1684 loss: 1.3040 2023/04/02 20:40:56 - mmengine - INFO - Epoch(train) [25][2600/5005] lr: 8.6448e-05 eta: 8:29:26 time: 0.0748 data_time: 0.0172 memory: 1684 loss: 1.3020 2023/04/02 20:41:03 - mmengine - INFO - Epoch(train) [25][2700/5005] lr: 8.6448e-05 eta: 8:29:16 time: 0.0746 data_time: 0.0173 memory: 1684 loss: 1.1314 2023/04/02 20:41:11 - mmengine - INFO - Epoch(train) [25][2800/5005] lr: 8.6448e-05 eta: 8:29:08 time: 0.0768 data_time: 0.0172 memory: 1684 loss: 1.3129 2023/04/02 20:41:18 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:41:20 - mmengine - INFO - Epoch(train) [25][2900/5005] lr: 8.6448e-05 eta: 8:29:01 time: 0.0924 data_time: 0.0171 memory: 1684 loss: 1.3767 2023/04/02 20:41:28 - mmengine - INFO - Epoch(train) [25][3000/5005] lr: 8.6448e-05 eta: 8:28:53 time: 0.0755 data_time: 0.0172 memory: 1684 loss: 1.2888 2023/04/02 20:41:36 - mmengine - INFO - Epoch(train) [25][3100/5005] lr: 8.6448e-05 eta: 8:28:44 time: 0.0883 data_time: 0.0174 memory: 1684 loss: 1.1845 2023/04/02 20:41:44 - mmengine - INFO - Epoch(train) [25][3200/5005] lr: 8.6448e-05 eta: 8:28:35 time: 0.0779 data_time: 0.0172 memory: 1684 loss: 1.3954 2023/04/02 20:41:51 - mmengine - INFO - Epoch(train) [25][3300/5005] lr: 8.6448e-05 eta: 8:28:26 time: 0.0768 data_time: 0.0178 memory: 1684 loss: 1.1300 2023/04/02 20:42:00 - mmengine - INFO - Epoch(train) [25][3400/5005] lr: 8.6448e-05 eta: 8:28:18 time: 0.0803 data_time: 0.0190 memory: 1684 loss: 1.1607 2023/04/02 20:42:08 - mmengine - INFO - Epoch(train) [25][3500/5005] lr: 8.6448e-05 eta: 8:28:11 time: 0.1006 data_time: 0.0288 memory: 1684 loss: 1.3074 2023/04/02 20:42:16 - mmengine - INFO - Epoch(train) [25][3600/5005] lr: 8.6448e-05 eta: 8:28:03 time: 0.0791 data_time: 0.0192 memory: 1684 loss: 1.3424 2023/04/02 20:42:24 - mmengine - INFO - Epoch(train) [25][3700/5005] lr: 8.6448e-05 eta: 8:27:55 time: 0.0789 data_time: 0.0200 memory: 1684 loss: 1.3903 2023/04/02 20:42:32 - mmengine - INFO - Epoch(train) [25][3800/5005] lr: 8.6448e-05 eta: 8:27:46 time: 0.0893 data_time: 0.0310 memory: 1684 loss: 1.3184 2023/04/02 20:42:39 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:42:40 - mmengine - INFO - Epoch(train) [25][3900/5005] lr: 8.6448e-05 eta: 8:27:38 time: 0.0797 data_time: 0.0187 memory: 1684 loss: 1.1257 2023/04/02 20:42:48 - mmengine - INFO - Epoch(train) [25][4000/5005] lr: 8.6448e-05 eta: 8:27:29 time: 0.0767 data_time: 0.0176 memory: 1684 loss: 1.2343 2023/04/02 20:42:56 - mmengine - INFO - Epoch(train) [25][4100/5005] lr: 8.6448e-05 eta: 8:27:21 time: 0.0772 data_time: 0.0180 memory: 1684 loss: 1.2700 2023/04/02 20:43:04 - mmengine - INFO - Epoch(train) [25][4200/5005] lr: 8.6448e-05 eta: 8:27:13 time: 0.0885 data_time: 0.0179 memory: 1684 loss: 1.0718 2023/04/02 20:43:12 - mmengine - INFO - Epoch(train) [25][4300/5005] lr: 8.6448e-05 eta: 8:27:03 time: 0.0762 data_time: 0.0178 memory: 1684 loss: 1.4611 2023/04/02 20:43:20 - mmengine - INFO - Epoch(train) [25][4400/5005] lr: 8.6448e-05 eta: 8:26:54 time: 0.0828 data_time: 0.0183 memory: 1684 loss: 1.0505 2023/04/02 20:43:28 - mmengine - INFO - Epoch(train) [25][4500/5005] lr: 8.6448e-05 eta: 8:26:46 time: 0.0767 data_time: 0.0175 memory: 1684 loss: 1.1292 2023/04/02 20:43:36 - mmengine - INFO - Epoch(train) [25][4600/5005] lr: 8.6448e-05 eta: 8:26:39 time: 0.0837 data_time: 0.0184 memory: 1684 loss: 1.2180 2023/04/02 20:43:45 - mmengine - INFO - Epoch(train) [25][4700/5005] lr: 8.6448e-05 eta: 8:26:31 time: 0.0791 data_time: 0.0181 memory: 1684 loss: 1.2315 2023/04/02 20:43:53 - mmengine - INFO - Epoch(train) [25][4800/5005] lr: 8.6448e-05 eta: 8:26:22 time: 0.0762 data_time: 0.0173 memory: 1684 loss: 1.1702 2023/04/02 20:43:59 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:44:00 - mmengine - INFO - Epoch(train) [25][4900/5005] lr: 8.6448e-05 eta: 8:26:13 time: 0.0820 data_time: 0.0180 memory: 1684 loss: 1.3693 2023/04/02 20:44:08 - mmengine - INFO - Epoch(train) [25][5000/5005] lr: 8.6448e-05 eta: 8:26:04 time: 0.0768 data_time: 0.0186 memory: 1684 loss: 1.0806 2023/04/02 20:44:09 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:44:09 - mmengine - INFO - Saving checkpoint at 25 epochs 2023/04/02 20:44:14 - mmengine - INFO - Epoch(val) [25][100/196] eta: 0:00:03 time: 0.0339 data_time: 0.0079 memory: 1684 2023/04/02 20:44:27 - mmengine - INFO - Epoch(val) [25][196/196] qat.accuracy/top1: 69.5080 qat.accuracy/top5: 89.1600data_time: 0.0117 time: 0.0350 2023/04/02 20:44:31 - mmengine - INFO - Epoch(val) [25][100/196] eta: 0:00:03 time: 0.0351 data_time: 0.0080 memory: 513 2023/04/02 20:44:45 - mmengine - INFO - Epoch(val) [25][196/196] qat.accuracy/top1: 69.4640 qat.accuracy/top5: 89.1140data_time: 0.0070 time: 0.0330 2023/04/02 20:44:48 - mmengine - INFO - Epoch(val) [25][100/196] eta: 0:00:02 time: 0.0254 data_time: 0.0147 memory: 470 2023/04/02 20:45:00 - mmengine - INFO - Epoch(val) [25][196/196] original.accuracy/top1: 69.4640 original.accuracy/top5: 89.1640data_time: 0.0345 time: 0.0450 2023/04/02 20:45:09 - mmengine - INFO - Epoch(train) [26][ 100/5005] lr: 8.5355e-05 eta: 8:25:58 time: 0.0787 data_time: 0.0171 memory: 1735 loss: 1.1026 2023/04/02 20:45:17 - mmengine - INFO - Epoch(train) [26][ 200/5005] lr: 8.5355e-05 eta: 8:25:49 time: 0.0769 data_time: 0.0174 memory: 1735 loss: 1.2368 2023/04/02 20:45:25 - mmengine - INFO - Epoch(train) [26][ 300/5005] lr: 8.5355e-05 eta: 8:25:41 time: 0.0756 data_time: 0.0172 memory: 1735 loss: 1.2407 2023/04/02 20:45:33 - mmengine - INFO - Epoch(train) [26][ 400/5005] lr: 8.5355e-05 eta: 8:25:33 time: 0.0899 data_time: 0.0170 memory: 1684 loss: 1.3343 2023/04/02 20:45:41 - mmengine - INFO - Epoch(train) [26][ 500/5005] lr: 8.5355e-05 eta: 8:25:23 time: 0.0746 data_time: 0.0173 memory: 1684 loss: 1.2253 2023/04/02 20:45:48 - mmengine - INFO - Epoch(train) [26][ 600/5005] lr: 8.5355e-05 eta: 8:25:13 time: 0.0746 data_time: 0.0170 memory: 1684 loss: 1.3371 2023/04/02 20:45:56 - mmengine - INFO - Epoch(train) [26][ 700/5005] lr: 8.5355e-05 eta: 8:25:05 time: 0.0857 data_time: 0.0172 memory: 1684 loss: 1.3861 2023/04/02 20:46:04 - mmengine - INFO - Epoch(train) [26][ 800/5005] lr: 8.5355e-05 eta: 8:24:56 time: 0.0784 data_time: 0.0172 memory: 1684 loss: 1.1294 2023/04/02 20:46:10 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:46:12 - mmengine - INFO - Epoch(train) [26][ 900/5005] lr: 8.5355e-05 eta: 8:24:46 time: 0.0775 data_time: 0.0172 memory: 1684 loss: 1.0520 2023/04/02 20:46:20 - mmengine - INFO - Epoch(train) [26][1000/5005] lr: 8.5355e-05 eta: 8:24:39 time: 0.0782 data_time: 0.0174 memory: 1684 loss: 1.3169 2023/04/02 20:46:28 - mmengine - INFO - Epoch(train) [26][1100/5005] lr: 8.5355e-05 eta: 8:24:29 time: 0.0780 data_time: 0.0173 memory: 1684 loss: 1.1458 2023/04/02 20:46:36 - mmengine - INFO - Epoch(train) [26][1200/5005] lr: 8.5355e-05 eta: 8:24:21 time: 0.0770 data_time: 0.0175 memory: 1684 loss: 1.2878 2023/04/02 20:46:44 - mmengine - INFO - Epoch(train) [26][1300/5005] lr: 8.5355e-05 eta: 8:24:13 time: 0.0861 data_time: 0.0174 memory: 1684 loss: 1.2058 2023/04/02 20:46:52 - mmengine - INFO - Epoch(train) [26][1400/5005] lr: 8.5355e-05 eta: 8:24:05 time: 0.0782 data_time: 0.0166 memory: 1684 loss: 1.2696 2023/04/02 20:47:00 - mmengine - INFO - Epoch(train) [26][1500/5005] lr: 8.5355e-05 eta: 8:23:56 time: 0.0836 data_time: 0.0175 memory: 1684 loss: 1.2211 2023/04/02 20:47:08 - mmengine - INFO - Epoch(train) [26][1600/5005] lr: 8.5355e-05 eta: 8:23:48 time: 0.0792 data_time: 0.0178 memory: 1684 loss: 1.3001 2023/04/02 20:47:16 - mmengine - INFO - Epoch(train) [26][1700/5005] lr: 8.5355e-05 eta: 8:23:38 time: 0.0737 data_time: 0.0174 memory: 1684 loss: 1.2268 2023/04/02 20:47:24 - mmengine - INFO - Epoch(train) [26][1800/5005] lr: 8.5355e-05 eta: 8:23:30 time: 0.0762 data_time: 0.0173 memory: 1684 loss: 1.2416 2023/04/02 20:47:30 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:47:32 - mmengine - INFO - Epoch(train) [26][1900/5005] lr: 8.5355e-05 eta: 8:23:21 time: 0.0773 data_time: 0.0172 memory: 1684 loss: 1.2931 2023/04/02 20:47:40 - mmengine - INFO - Epoch(train) [26][2000/5005] lr: 8.5355e-05 eta: 8:23:13 time: 0.0770 data_time: 0.0172 memory: 1684 loss: 1.2458 2023/04/02 20:47:47 - mmengine - INFO - Epoch(train) [26][2100/5005] lr: 8.5355e-05 eta: 8:23:04 time: 0.0777 data_time: 0.0173 memory: 1684 loss: 1.1926 2023/04/02 20:47:55 - mmengine - INFO - Epoch(train) [26][2200/5005] lr: 8.5355e-05 eta: 8:22:55 time: 0.0767 data_time: 0.0164 memory: 1684 loss: 1.1647 2023/04/02 20:48:03 - mmengine - INFO - Epoch(train) [26][2300/5005] lr: 8.5355e-05 eta: 8:22:47 time: 0.0770 data_time: 0.0169 memory: 1684 loss: 1.4484 2023/04/02 20:48:11 - mmengine - INFO - Epoch(train) [26][2400/5005] lr: 8.5355e-05 eta: 8:22:38 time: 0.0771 data_time: 0.0172 memory: 1684 loss: 1.1578 2023/04/02 20:48:19 - mmengine - INFO - Epoch(train) [26][2500/5005] lr: 8.5355e-05 eta: 8:22:29 time: 0.0765 data_time: 0.0172 memory: 1684 loss: 1.4366 2023/04/02 20:48:27 - mmengine - INFO - Epoch(train) [26][2600/5005] lr: 8.5355e-05 eta: 8:22:21 time: 0.0776 data_time: 0.0171 memory: 1684 loss: 1.2759 2023/04/02 20:48:36 - mmengine - INFO - Epoch(train) [26][2700/5005] lr: 8.5355e-05 eta: 8:22:14 time: 0.0785 data_time: 0.0170 memory: 1684 loss: 1.3658 2023/04/02 20:48:44 - mmengine - INFO - Epoch(train) [26][2800/5005] lr: 8.5355e-05 eta: 8:22:05 time: 0.0774 data_time: 0.0170 memory: 1684 loss: 1.0417 2023/04/02 20:48:50 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:48:52 - mmengine - INFO - Epoch(train) [26][2900/5005] lr: 8.5355e-05 eta: 8:21:57 time: 0.0751 data_time: 0.0170 memory: 1684 loss: 1.1620 2023/04/02 20:49:00 - mmengine - INFO - Epoch(train) [26][3000/5005] lr: 8.5355e-05 eta: 8:21:50 time: 0.0748 data_time: 0.0167 memory: 1684 loss: 1.2217 2023/04/02 20:49:08 - mmengine - INFO - Epoch(train) [26][3100/5005] lr: 8.5355e-05 eta: 8:21:42 time: 0.0892 data_time: 0.0171 memory: 1684 loss: 1.2865 2023/04/02 20:49:16 - mmengine - INFO - Epoch(train) [26][3200/5005] lr: 8.5355e-05 eta: 8:21:34 time: 0.0779 data_time: 0.0172 memory: 1684 loss: 1.2885 2023/04/02 20:49:24 - mmengine - INFO - Epoch(train) [26][3300/5005] lr: 8.5355e-05 eta: 8:21:25 time: 0.0772 data_time: 0.0172 memory: 1684 loss: 1.1774 2023/04/02 20:49:32 - mmengine - INFO - Epoch(train) [26][3400/5005] lr: 8.5355e-05 eta: 8:21:16 time: 0.0812 data_time: 0.0171 memory: 1684 loss: 1.4800 2023/04/02 20:49:40 - mmengine - INFO - Epoch(train) [26][3500/5005] lr: 8.5355e-05 eta: 8:21:08 time: 0.0779 data_time: 0.0171 memory: 1684 loss: 1.2712 2023/04/02 20:49:49 - mmengine - INFO - Epoch(train) [26][3600/5005] lr: 8.5355e-05 eta: 8:21:00 time: 0.0780 data_time: 0.0172 memory: 1684 loss: 1.2309 2023/04/02 20:49:57 - mmengine - INFO - Epoch(train) [26][3700/5005] lr: 8.5355e-05 eta: 8:20:52 time: 0.0772 data_time: 0.0190 memory: 1684 loss: 1.1729 2023/04/02 20:50:04 - mmengine - INFO - Epoch(train) [26][3800/5005] lr: 8.5355e-05 eta: 8:20:43 time: 0.0746 data_time: 0.0171 memory: 1684 loss: 1.3153 2023/04/02 20:50:10 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:50:12 - mmengine - INFO - Epoch(train) [26][3900/5005] lr: 8.5355e-05 eta: 8:20:34 time: 0.0770 data_time: 0.0171 memory: 1684 loss: 1.4113 2023/04/02 20:50:20 - mmengine - INFO - Epoch(train) [26][4000/5005] lr: 8.5355e-05 eta: 8:20:25 time: 0.0759 data_time: 0.0171 memory: 1684 loss: 1.1292 2023/04/02 20:50:28 - mmengine - INFO - Epoch(train) [26][4100/5005] lr: 8.5355e-05 eta: 8:20:16 time: 0.0783 data_time: 0.0172 memory: 1684 loss: 1.4976 2023/04/02 20:50:36 - mmengine - INFO - Epoch(train) [26][4200/5005] lr: 8.5355e-05 eta: 8:20:08 time: 0.0791 data_time: 0.0172 memory: 1684 loss: 1.1400 2023/04/02 20:50:44 - mmengine - INFO - Epoch(train) [26][4300/5005] lr: 8.5355e-05 eta: 8:19:59 time: 0.0772 data_time: 0.0173 memory: 1684 loss: 1.4052 2023/04/02 20:50:52 - mmengine - INFO - Epoch(train) [26][4400/5005] lr: 8.5355e-05 eta: 8:19:51 time: 0.0932 data_time: 0.0180 memory: 1684 loss: 1.2444 2023/04/02 20:51:00 - mmengine - INFO - Epoch(train) [26][4500/5005] lr: 8.5355e-05 eta: 8:19:42 time: 0.0760 data_time: 0.0174 memory: 1684 loss: 1.2894 2023/04/02 20:51:08 - mmengine - INFO - Epoch(train) [26][4600/5005] lr: 8.5355e-05 eta: 8:19:33 time: 0.0759 data_time: 0.0173 memory: 1684 loss: 1.1850 2023/04/02 20:51:16 - mmengine - INFO - Epoch(train) [26][4700/5005] lr: 8.5355e-05 eta: 8:19:24 time: 0.0767 data_time: 0.0171 memory: 1684 loss: 1.3534 2023/04/02 20:51:24 - mmengine - INFO - Epoch(train) [26][4800/5005] lr: 8.5355e-05 eta: 8:19:16 time: 0.0778 data_time: 0.0173 memory: 1684 loss: 1.1952 2023/04/02 20:51:29 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:51:31 - mmengine - INFO - Epoch(train) [26][4900/5005] lr: 8.5355e-05 eta: 8:19:07 time: 0.0761 data_time: 0.0171 memory: 1684 loss: 1.2958 2023/04/02 20:51:40 - mmengine - INFO - Epoch(train) [26][5000/5005] lr: 8.5355e-05 eta: 8:18:59 time: 0.0786 data_time: 0.0175 memory: 1684 loss: 1.3029 2023/04/02 20:51:40 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:51:40 - mmengine - INFO - Saving checkpoint at 26 epochs 2023/04/02 20:51:46 - mmengine - INFO - Epoch(val) [26][100/196] eta: 0:00:04 time: 0.0337 data_time: 0.0082 memory: 1684 2023/04/02 20:51:58 - mmengine - INFO - Epoch(val) [26][196/196] qat.accuracy/top1: 69.4600 qat.accuracy/top5: 89.0380data_time: 0.0105 time: 0.0344 2023/04/02 20:52:03 - mmengine - INFO - Epoch(val) [26][100/196] eta: 0:00:04 time: 0.0366 data_time: 0.0084 memory: 513 2023/04/02 20:52:16 - mmengine - INFO - Epoch(val) [26][196/196] qat.accuracy/top1: 69.5180 qat.accuracy/top5: 88.9920data_time: 0.0069 time: 0.0334 2023/04/02 20:52:19 - mmengine - INFO - Epoch(val) [26][100/196] eta: 0:00:02 time: 0.0240 data_time: 0.0116 memory: 470 2023/04/02 20:52:31 - mmengine - INFO - Epoch(val) [26][196/196] original.accuracy/top1: 69.4080 original.accuracy/top5: 88.9920data_time: 0.0333 time: 0.0434 2023/04/02 20:52:41 - mmengine - INFO - Epoch(train) [27][ 100/5005] lr: 8.4227e-05 eta: 8:18:55 time: 0.0796 data_time: 0.0175 memory: 1735 loss: 1.2636 2023/04/02 20:52:50 - mmengine - INFO - Epoch(train) [27][ 200/5005] lr: 8.4227e-05 eta: 8:18:48 time: 0.0785 data_time: 0.0181 memory: 1735 loss: 1.0138 2023/04/02 20:52:58 - mmengine - INFO - Epoch(train) [27][ 300/5005] lr: 8.4227e-05 eta: 8:18:40 time: 0.0766 data_time: 0.0182 memory: 1735 loss: 1.1444 2023/04/02 20:53:06 - mmengine - INFO - Epoch(train) [27][ 400/5005] lr: 8.4227e-05 eta: 8:18:32 time: 0.0901 data_time: 0.0181 memory: 1735 loss: 1.2028 2023/04/02 20:53:14 - mmengine - INFO - Epoch(train) [27][ 500/5005] lr: 8.4227e-05 eta: 8:18:24 time: 0.0767 data_time: 0.0186 memory: 1735 loss: 1.0284 2023/04/02 20:53:22 - mmengine - INFO - Epoch(train) [27][ 600/5005] lr: 8.4227e-05 eta: 8:18:15 time: 0.0764 data_time: 0.0184 memory: 1735 loss: 1.1545 2023/04/02 20:53:30 - mmengine - INFO - Epoch(train) [27][ 700/5005] lr: 8.4227e-05 eta: 8:18:07 time: 0.0772 data_time: 0.0177 memory: 1735 loss: 1.1678 2023/04/02 20:53:39 - mmengine - INFO - Epoch(train) [27][ 800/5005] lr: 8.4227e-05 eta: 8:18:00 time: 0.0966 data_time: 0.0346 memory: 1735 loss: 1.3526 2023/04/02 20:53:44 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:53:47 - mmengine - INFO - Epoch(train) [27][ 900/5005] lr: 8.4227e-05 eta: 8:17:51 time: 0.0869 data_time: 0.0176 memory: 1684 loss: 1.2452 2023/04/02 20:53:54 - mmengine - INFO - Epoch(train) [27][1000/5005] lr: 8.4227e-05 eta: 8:17:42 time: 0.0795 data_time: 0.0177 memory: 1684 loss: 1.2695 2023/04/02 20:54:03 - mmengine - INFO - Epoch(train) [27][1100/5005] lr: 8.4227e-05 eta: 8:17:34 time: 0.0799 data_time: 0.0178 memory: 1684 loss: 1.1777 2023/04/02 20:54:11 - mmengine - INFO - Epoch(train) [27][1200/5005] lr: 8.4227e-05 eta: 8:17:27 time: 0.0804 data_time: 0.0175 memory: 1684 loss: 1.1492 2023/04/02 20:54:20 - mmengine - INFO - Epoch(train) [27][1300/5005] lr: 8.4227e-05 eta: 8:17:21 time: 0.0835 data_time: 0.0173 memory: 1684 loss: 1.1349 2023/04/02 20:54:29 - mmengine - INFO - Epoch(train) [27][1400/5005] lr: 8.4227e-05 eta: 8:17:16 time: 0.0784 data_time: 0.0179 memory: 1684 loss: 1.3207 2023/04/02 20:54:37 - mmengine - INFO - Epoch(train) [27][1500/5005] lr: 8.4227e-05 eta: 8:17:07 time: 0.0764 data_time: 0.0175 memory: 1684 loss: 1.2462 2023/04/02 20:54:45 - mmengine - INFO - Epoch(train) [27][1600/5005] lr: 8.4227e-05 eta: 8:16:59 time: 0.0779 data_time: 0.0184 memory: 1684 loss: 1.1081 2023/04/02 20:54:53 - mmengine - INFO - Epoch(train) [27][1700/5005] lr: 8.4227e-05 eta: 8:16:51 time: 0.0807 data_time: 0.0176 memory: 1684 loss: 1.3218 2023/04/02 20:55:02 - mmengine - INFO - Epoch(train) [27][1800/5005] lr: 8.4227e-05 eta: 8:16:44 time: 0.0856 data_time: 0.0178 memory: 1684 loss: 1.1267 2023/04/02 20:55:07 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:55:09 - mmengine - INFO - Epoch(train) [27][1900/5005] lr: 8.4227e-05 eta: 8:16:35 time: 0.0762 data_time: 0.0174 memory: 1684 loss: 1.1598 2023/04/02 20:55:17 - mmengine - INFO - Epoch(train) [27][2000/5005] lr: 8.4227e-05 eta: 8:16:26 time: 0.0745 data_time: 0.0177 memory: 1684 loss: 1.3710 2023/04/02 20:55:25 - mmengine - INFO - Epoch(train) [27][2100/5005] lr: 8.4227e-05 eta: 8:16:16 time: 0.0752 data_time: 0.0175 memory: 1684 loss: 1.2144 2023/04/02 20:55:33 - mmengine - INFO - Epoch(train) [27][2200/5005] lr: 8.4227e-05 eta: 8:16:07 time: 0.0799 data_time: 0.0173 memory: 1684 loss: 1.3285 2023/04/02 20:55:41 - mmengine - INFO - Epoch(train) [27][2300/5005] lr: 8.4227e-05 eta: 8:15:59 time: 0.0770 data_time: 0.0172 memory: 1684 loss: 1.2183 2023/04/02 20:55:49 - mmengine - INFO - Epoch(train) [27][2400/5005] lr: 8.4227e-05 eta: 8:15:51 time: 0.0778 data_time: 0.0175 memory: 1684 loss: 1.1814 2023/04/02 20:55:57 - mmengine - INFO - Epoch(train) [27][2500/5005] lr: 8.4227e-05 eta: 8:15:43 time: 0.0908 data_time: 0.0290 memory: 1684 loss: 1.2936 2023/04/02 20:56:05 - mmengine - INFO - Epoch(train) [27][2600/5005] lr: 8.4227e-05 eta: 8:15:34 time: 0.0748 data_time: 0.0173 memory: 1684 loss: 1.2892 2023/04/02 20:56:13 - mmengine - INFO - Epoch(train) [27][2700/5005] lr: 8.4227e-05 eta: 8:15:25 time: 0.0872 data_time: 0.0172 memory: 1684 loss: 1.1984 2023/04/02 20:56:20 - mmengine - INFO - Epoch(train) [27][2800/5005] lr: 8.4227e-05 eta: 8:15:16 time: 0.0748 data_time: 0.0175 memory: 1684 loss: 1.2900 2023/04/02 20:56:26 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:56:28 - mmengine - INFO - Epoch(train) [27][2900/5005] lr: 8.4227e-05 eta: 8:15:07 time: 0.0846 data_time: 0.0173 memory: 1684 loss: 1.2124 2023/04/02 20:56:36 - mmengine - INFO - Epoch(train) [27][3000/5005] lr: 8.4227e-05 eta: 8:14:59 time: 0.0784 data_time: 0.0172 memory: 1684 loss: 1.3073 2023/04/02 20:56:44 - mmengine - INFO - Epoch(train) [27][3100/5005] lr: 8.4227e-05 eta: 8:14:50 time: 0.0744 data_time: 0.0177 memory: 1684 loss: 1.2439 2023/04/02 20:56:52 - mmengine - INFO - Epoch(train) [27][3200/5005] lr: 8.4227e-05 eta: 8:14:41 time: 0.0770 data_time: 0.0174 memory: 1684 loss: 1.2357 2023/04/02 20:57:00 - mmengine - INFO - Epoch(train) [27][3300/5005] lr: 8.4227e-05 eta: 8:14:33 time: 0.0882 data_time: 0.0175 memory: 1684 loss: 1.2696 2023/04/02 20:57:08 - mmengine - INFO - Epoch(train) [27][3400/5005] lr: 8.4227e-05 eta: 8:14:24 time: 0.0756 data_time: 0.0174 memory: 1684 loss: 1.3458 2023/04/02 20:57:16 - mmengine - INFO - Epoch(train) [27][3500/5005] lr: 8.4227e-05 eta: 8:14:16 time: 0.0791 data_time: 0.0176 memory: 1684 loss: 1.4708 2023/04/02 20:57:24 - mmengine - INFO - Epoch(train) [27][3600/5005] lr: 8.4227e-05 eta: 8:14:07 time: 0.0776 data_time: 0.0175 memory: 1684 loss: 1.0733 2023/04/02 20:57:32 - mmengine - INFO - Epoch(train) [27][3700/5005] lr: 8.4227e-05 eta: 8:13:58 time: 0.0796 data_time: 0.0173 memory: 1684 loss: 1.2663 2023/04/02 20:57:40 - mmengine - INFO - Epoch(train) [27][3800/5005] lr: 8.4227e-05 eta: 8:13:50 time: 0.0823 data_time: 0.0197 memory: 1684 loss: 1.2909 2023/04/02 20:57:45 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:57:47 - mmengine - INFO - Epoch(train) [27][3900/5005] lr: 8.4227e-05 eta: 8:13:41 time: 0.0751 data_time: 0.0173 memory: 1684 loss: 1.3076 2023/04/02 20:57:55 - mmengine - INFO - Epoch(train) [27][4000/5005] lr: 8.4227e-05 eta: 8:13:32 time: 0.0737 data_time: 0.0172 memory: 1684 loss: 1.3378 2023/04/02 20:58:03 - mmengine - INFO - Epoch(train) [27][4100/5005] lr: 8.4227e-05 eta: 8:13:24 time: 0.0862 data_time: 0.0171 memory: 1684 loss: 1.1174 2023/04/02 20:58:12 - mmengine - INFO - Epoch(train) [27][4200/5005] lr: 8.4227e-05 eta: 8:13:15 time: 0.0763 data_time: 0.0173 memory: 1684 loss: 1.2064 2023/04/02 20:58:20 - mmengine - INFO - Epoch(train) [27][4300/5005] lr: 8.4227e-05 eta: 8:13:08 time: 0.0889 data_time: 0.0172 memory: 1684 loss: 1.2987 2023/04/02 20:58:28 - mmengine - INFO - Epoch(train) [27][4400/5005] lr: 8.4227e-05 eta: 8:13:00 time: 0.1042 data_time: 0.0173 memory: 1684 loss: 1.2541 2023/04/02 20:58:36 - mmengine - INFO - Epoch(train) [27][4500/5005] lr: 8.4227e-05 eta: 8:12:52 time: 0.0760 data_time: 0.0172 memory: 1684 loss: 1.1532 2023/04/02 20:58:44 - mmengine - INFO - Epoch(train) [27][4600/5005] lr: 8.4227e-05 eta: 8:12:43 time: 0.0783 data_time: 0.0177 memory: 1684 loss: 1.0949 2023/04/02 20:58:52 - mmengine - INFO - Epoch(train) [27][4700/5005] lr: 8.4227e-05 eta: 8:12:35 time: 0.0789 data_time: 0.0173 memory: 1684 loss: 1.1784 2023/04/02 20:59:00 - mmengine - INFO - Epoch(train) [27][4800/5005] lr: 8.4227e-05 eta: 8:12:27 time: 0.0856 data_time: 0.0173 memory: 1684 loss: 1.1833 2023/04/02 20:59:06 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:59:08 - mmengine - INFO - Epoch(train) [27][4900/5005] lr: 8.4227e-05 eta: 8:12:19 time: 0.0796 data_time: 0.0173 memory: 1684 loss: 1.2367 2023/04/02 20:59:16 - mmengine - INFO - Epoch(train) [27][5000/5005] lr: 8.4227e-05 eta: 8:12:10 time: 0.0757 data_time: 0.0176 memory: 1684 loss: 1.1405 2023/04/02 20:59:17 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 20:59:17 - mmengine - INFO - Saving checkpoint at 27 epochs 2023/04/02 20:59:23 - mmengine - INFO - Epoch(val) [27][100/196] eta: 0:00:04 time: 0.0348 data_time: 0.0084 memory: 1684 2023/04/02 20:59:35 - mmengine - INFO - Epoch(val) [27][196/196] qat.accuracy/top1: 69.6680 qat.accuracy/top5: 89.1080data_time: 0.0116 time: 0.0357 2023/04/02 20:59:40 - mmengine - INFO - Epoch(val) [27][100/196] eta: 0:00:03 time: 0.0360 data_time: 0.0077 memory: 513 2023/04/02 20:59:53 - mmengine - INFO - Epoch(val) [27][196/196] qat.accuracy/top1: 69.6240 qat.accuracy/top5: 89.1040data_time: 0.0067 time: 0.0338 2023/04/02 20:59:56 - mmengine - INFO - Epoch(val) [27][100/196] eta: 0:00:02 time: 0.0218 data_time: 0.0097 memory: 470 2023/04/02 21:00:08 - mmengine - INFO - Epoch(val) [27][196/196] original.accuracy/top1: 69.6220 original.accuracy/top5: 89.1080data_time: 0.0312 time: 0.0412 2023/04/02 21:00:18 - mmengine - INFO - Epoch(train) [28][ 100/5005] lr: 8.3066e-05 eta: 8:12:05 time: 0.0928 data_time: 0.0182 memory: 1735 loss: 1.1820 2023/04/02 21:00:26 - mmengine - INFO - Epoch(train) [28][ 200/5005] lr: 8.3066e-05 eta: 8:11:57 time: 0.0759 data_time: 0.0175 memory: 1735 loss: 1.1751 2023/04/02 21:00:34 - mmengine - INFO - Epoch(train) [28][ 300/5005] lr: 8.3066e-05 eta: 8:11:49 time: 0.0888 data_time: 0.0179 memory: 1735 loss: 1.3257 2023/04/02 21:00:42 - mmengine - INFO - Epoch(train) [28][ 400/5005] lr: 8.3066e-05 eta: 8:11:40 time: 0.0791 data_time: 0.0185 memory: 1735 loss: 0.9907 2023/04/02 21:00:50 - mmengine - INFO - Epoch(train) [28][ 500/5005] lr: 8.3066e-05 eta: 8:11:33 time: 0.0785 data_time: 0.0173 memory: 1735 loss: 1.2655 2023/04/02 21:00:59 - mmengine - INFO - Epoch(train) [28][ 600/5005] lr: 8.3066e-05 eta: 8:11:26 time: 0.0867 data_time: 0.0177 memory: 1735 loss: 1.2785 2023/04/02 21:01:07 - mmengine - INFO - Epoch(train) [28][ 700/5005] lr: 8.3066e-05 eta: 8:11:18 time: 0.0801 data_time: 0.0173 memory: 1735 loss: 1.2214 2023/04/02 21:01:15 - mmengine - INFO - Epoch(train) [28][ 800/5005] lr: 8.3066e-05 eta: 8:11:10 time: 0.0764 data_time: 0.0173 memory: 1735 loss: 1.0785 2023/04/02 21:01:20 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:01:23 - mmengine - INFO - Epoch(train) [28][ 900/5005] lr: 8.3066e-05 eta: 8:11:02 time: 0.0934 data_time: 0.0196 memory: 1735 loss: 1.2420 2023/04/02 21:01:31 - mmengine - INFO - Epoch(train) [28][1000/5005] lr: 8.3066e-05 eta: 8:10:53 time: 0.0767 data_time: 0.0173 memory: 1735 loss: 1.2618 2023/04/02 21:01:39 - mmengine - INFO - Epoch(train) [28][1100/5005] lr: 8.3066e-05 eta: 8:10:45 time: 0.0792 data_time: 0.0171 memory: 1684 loss: 1.2036 2023/04/02 21:01:48 - mmengine - INFO - Epoch(train) [28][1200/5005] lr: 8.3066e-05 eta: 8:10:38 time: 0.0772 data_time: 0.0171 memory: 1684 loss: 1.2307 2023/04/02 21:01:56 - mmengine - INFO - Epoch(train) [28][1300/5005] lr: 8.3066e-05 eta: 8:10:29 time: 0.0758 data_time: 0.0173 memory: 1684 loss: 1.2363 2023/04/02 21:02:04 - mmengine - INFO - Epoch(train) [28][1400/5005] lr: 8.3066e-05 eta: 8:10:21 time: 0.0769 data_time: 0.0173 memory: 1684 loss: 1.1556 2023/04/02 21:02:11 - mmengine - INFO - Epoch(train) [28][1500/5005] lr: 8.3066e-05 eta: 8:10:12 time: 0.0899 data_time: 0.0173 memory: 1684 loss: 1.3013 2023/04/02 21:02:20 - mmengine - INFO - Epoch(train) [28][1600/5005] lr: 8.3066e-05 eta: 8:10:04 time: 0.0985 data_time: 0.0288 memory: 1684 loss: 1.4426 2023/04/02 21:02:28 - mmengine - INFO - Epoch(train) [28][1700/5005] lr: 8.3066e-05 eta: 8:09:56 time: 0.0777 data_time: 0.0173 memory: 1684 loss: 1.0436 2023/04/02 21:02:36 - mmengine - INFO - Epoch(train) [28][1800/5005] lr: 8.3066e-05 eta: 8:09:49 time: 0.0763 data_time: 0.0172 memory: 1684 loss: 1.3191 2023/04/02 21:02:42 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:02:45 - mmengine - INFO - Epoch(train) [28][1900/5005] lr: 8.3066e-05 eta: 8:09:41 time: 0.0903 data_time: 0.0220 memory: 1684 loss: 1.2681 2023/04/02 21:02:53 - mmengine - INFO - Epoch(train) [28][2000/5005] lr: 8.3066e-05 eta: 8:09:33 time: 0.0910 data_time: 0.0156 memory: 1684 loss: 1.1292 2023/04/02 21:03:01 - mmengine - INFO - Epoch(train) [28][2100/5005] lr: 8.3066e-05 eta: 8:09:25 time: 0.0779 data_time: 0.0172 memory: 1684 loss: 1.1589 2023/04/02 21:03:09 - mmengine - INFO - Epoch(train) [28][2200/5005] lr: 8.3066e-05 eta: 8:09:17 time: 0.0763 data_time: 0.0176 memory: 1684 loss: 1.1797 2023/04/02 21:03:17 - mmengine - INFO - Epoch(train) [28][2300/5005] lr: 8.3066e-05 eta: 8:09:10 time: 0.0944 data_time: 0.0174 memory: 1684 loss: 1.1856 2023/04/02 21:03:25 - mmengine - INFO - Epoch(train) [28][2400/5005] lr: 8.3066e-05 eta: 8:09:01 time: 0.0777 data_time: 0.0174 memory: 1684 loss: 1.0035 2023/04/02 21:03:33 - mmengine - INFO - Epoch(train) [28][2500/5005] lr: 8.3066e-05 eta: 8:08:52 time: 0.0770 data_time: 0.0173 memory: 1684 loss: 1.1729 2023/04/02 21:03:41 - mmengine - INFO - Epoch(train) [28][2600/5005] lr: 8.3066e-05 eta: 8:08:44 time: 0.0772 data_time: 0.0176 memory: 1684 loss: 1.3137 2023/04/02 21:03:50 - mmengine - INFO - Epoch(train) [28][2700/5005] lr: 8.3066e-05 eta: 8:08:36 time: 0.0895 data_time: 0.0171 memory: 1684 loss: 1.1167 2023/04/02 21:03:58 - mmengine - INFO - Epoch(train) [28][2800/5005] lr: 8.3066e-05 eta: 8:08:28 time: 0.0921 data_time: 0.0180 memory: 1684 loss: 1.3199 2023/04/02 21:04:03 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:04:06 - mmengine - INFO - Epoch(train) [28][2900/5005] lr: 8.3066e-05 eta: 8:08:20 time: 0.0764 data_time: 0.0177 memory: 1684 loss: 1.2240 2023/04/02 21:04:14 - mmengine - INFO - Epoch(train) [28][3000/5005] lr: 8.3066e-05 eta: 8:08:12 time: 0.0768 data_time: 0.0172 memory: 1684 loss: 1.2137 2023/04/02 21:04:22 - mmengine - INFO - Epoch(train) [28][3100/5005] lr: 8.3066e-05 eta: 8:08:04 time: 0.0806 data_time: 0.0178 memory: 1684 loss: 1.2496 2023/04/02 21:04:31 - mmengine - INFO - Epoch(train) [28][3200/5005] lr: 8.3066e-05 eta: 8:07:58 time: 0.0921 data_time: 0.0289 memory: 1684 loss: 1.3420 2023/04/02 21:04:39 - mmengine - INFO - Epoch(train) [28][3300/5005] lr: 8.3066e-05 eta: 8:07:50 time: 0.0780 data_time: 0.0176 memory: 1684 loss: 1.1319 2023/04/02 21:04:47 - mmengine - INFO - Epoch(train) [28][3400/5005] lr: 8.3066e-05 eta: 8:07:41 time: 0.0786 data_time: 0.0174 memory: 1684 loss: 1.1767 2023/04/02 21:04:55 - mmengine - INFO - Epoch(train) [28][3500/5005] lr: 8.3066e-05 eta: 8:07:34 time: 0.0814 data_time: 0.0205 memory: 1684 loss: 1.2604 2023/04/02 21:05:03 - mmengine - INFO - Epoch(train) [28][3600/5005] lr: 8.3066e-05 eta: 8:07:25 time: 0.0826 data_time: 0.0174 memory: 1684 loss: 1.0051 2023/04/02 21:05:12 - mmengine - INFO - Epoch(train) [28][3700/5005] lr: 8.3066e-05 eta: 8:07:17 time: 0.0786 data_time: 0.0173 memory: 1684 loss: 1.1621 2023/04/02 21:05:19 - mmengine - INFO - Epoch(train) [28][3800/5005] lr: 8.3066e-05 eta: 8:07:08 time: 0.0756 data_time: 0.0173 memory: 1684 loss: 1.1133 2023/04/02 21:05:24 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:05:27 - mmengine - INFO - Epoch(train) [28][3900/5005] lr: 8.3066e-05 eta: 8:07:00 time: 0.0749 data_time: 0.0180 memory: 1684 loss: 1.2104 2023/04/02 21:05:35 - mmengine - INFO - Epoch(train) [28][4000/5005] lr: 8.3066e-05 eta: 8:06:50 time: 0.0754 data_time: 0.0174 memory: 1684 loss: 1.0933 2023/04/02 21:05:43 - mmengine - INFO - Epoch(train) [28][4100/5005] lr: 8.3066e-05 eta: 8:06:42 time: 0.0760 data_time: 0.0174 memory: 1684 loss: 1.3560 2023/04/02 21:05:51 - mmengine - INFO - Epoch(train) [28][4200/5005] lr: 8.3066e-05 eta: 8:06:34 time: 0.0764 data_time: 0.0173 memory: 1684 loss: 1.2414 2023/04/02 21:05:59 - mmengine - INFO - Epoch(train) [28][4300/5005] lr: 8.3066e-05 eta: 8:06:25 time: 0.0812 data_time: 0.0234 memory: 1684 loss: 1.1664 2023/04/02 21:06:07 - mmengine - INFO - Epoch(train) [28][4400/5005] lr: 8.3066e-05 eta: 8:06:17 time: 0.0814 data_time: 0.0174 memory: 1684 loss: 1.1980 2023/04/02 21:06:15 - mmengine - INFO - Epoch(train) [28][4500/5005] lr: 8.3066e-05 eta: 8:06:08 time: 0.0881 data_time: 0.0177 memory: 1684 loss: 1.3969 2023/04/02 21:06:23 - mmengine - INFO - Epoch(train) [28][4600/5005] lr: 8.3066e-05 eta: 8:06:00 time: 0.0924 data_time: 0.0173 memory: 1684 loss: 1.2176 2023/04/02 21:06:31 - mmengine - INFO - Epoch(train) [28][4700/5005] lr: 8.3066e-05 eta: 8:05:52 time: 0.0743 data_time: 0.0174 memory: 1684 loss: 1.2679 2023/04/02 21:06:39 - mmengine - INFO - Epoch(train) [28][4800/5005] lr: 8.3066e-05 eta: 8:05:43 time: 0.0767 data_time: 0.0176 memory: 1684 loss: 1.2388 2023/04/02 21:06:44 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:06:47 - mmengine - INFO - Epoch(train) [28][4900/5005] lr: 8.3066e-05 eta: 8:05:36 time: 0.0757 data_time: 0.0173 memory: 1684 loss: 1.3638 2023/04/02 21:06:55 - mmengine - INFO - Epoch(train) [28][5000/5005] lr: 8.3066e-05 eta: 8:05:27 time: 0.0910 data_time: 0.0182 memory: 1684 loss: 1.3752 2023/04/02 21:06:56 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:06:56 - mmengine - INFO - Saving checkpoint at 28 epochs 2023/04/02 21:07:02 - mmengine - INFO - Epoch(val) [28][100/196] eta: 0:00:04 time: 0.0341 data_time: 0.0082 memory: 1684 2023/04/02 21:07:14 - mmengine - INFO - Epoch(val) [28][196/196] qat.accuracy/top1: 69.7520 qat.accuracy/top5: 89.1620data_time: 0.0132 time: 0.0377 2023/04/02 21:07:19 - mmengine - INFO - Epoch(val) [28][100/196] eta: 0:00:04 time: 0.0370 data_time: 0.0081 memory: 513 2023/04/02 21:07:32 - mmengine - INFO - Epoch(val) [28][196/196] qat.accuracy/top1: 69.6420 qat.accuracy/top5: 89.2100data_time: 0.0069 time: 0.0334 2023/04/02 21:07:35 - mmengine - INFO - Epoch(val) [28][100/196] eta: 0:00:02 time: 0.0257 data_time: 0.0151 memory: 470 2023/04/02 21:07:48 - mmengine - INFO - Epoch(val) [28][196/196] original.accuracy/top1: 69.4740 original.accuracy/top5: 89.1440data_time: 0.0358 time: 0.0455 2023/04/02 21:07:57 - mmengine - INFO - Epoch(train) [29][ 100/5005] lr: 8.1871e-05 eta: 8:05:21 time: 0.0803 data_time: 0.0186 memory: 1735 loss: 1.3552 2023/04/02 21:08:05 - mmengine - INFO - Epoch(train) [29][ 200/5005] lr: 8.1871e-05 eta: 8:05:12 time: 0.0772 data_time: 0.0176 memory: 1735 loss: 1.2597 2023/04/02 21:08:13 - mmengine - INFO - Epoch(train) [29][ 300/5005] lr: 8.1871e-05 eta: 8:05:04 time: 0.0771 data_time: 0.0170 memory: 1735 loss: 1.1074 2023/04/02 21:08:22 - mmengine - INFO - Epoch(train) [29][ 400/5005] lr: 8.1871e-05 eta: 8:04:58 time: 0.0928 data_time: 0.0170 memory: 1735 loss: 1.2684 2023/04/02 21:08:31 - mmengine - INFO - Epoch(train) [29][ 500/5005] lr: 8.1871e-05 eta: 8:04:51 time: 0.0830 data_time: 0.0171 memory: 1735 loss: 1.1478 2023/04/02 21:08:39 - mmengine - INFO - Epoch(train) [29][ 600/5005] lr: 8.1871e-05 eta: 8:04:44 time: 0.0797 data_time: 0.0172 memory: 1735 loss: 1.2641 2023/04/02 21:08:47 - mmengine - INFO - Epoch(train) [29][ 700/5005] lr: 8.1871e-05 eta: 8:04:35 time: 0.0748 data_time: 0.0173 memory: 1684 loss: 1.2793 2023/04/02 21:08:55 - mmengine - INFO - Epoch(train) [29][ 800/5005] lr: 8.1871e-05 eta: 8:04:27 time: 0.0884 data_time: 0.0172 memory: 1684 loss: 1.5045 2023/04/02 21:09:00 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:09:04 - mmengine - INFO - Epoch(train) [29][ 900/5005] lr: 8.1871e-05 eta: 8:04:20 time: 0.0789 data_time: 0.0171 memory: 1684 loss: 1.3630 2023/04/02 21:09:12 - mmengine - INFO - Epoch(train) [29][1000/5005] lr: 8.1871e-05 eta: 8:04:13 time: 0.0857 data_time: 0.0173 memory: 1684 loss: 1.4594 2023/04/02 21:09:20 - mmengine - INFO - Epoch(train) [29][1100/5005] lr: 8.1871e-05 eta: 8:04:05 time: 0.0957 data_time: 0.0170 memory: 1684 loss: 1.4058 2023/04/02 21:09:28 - mmengine - INFO - Epoch(train) [29][1200/5005] lr: 8.1871e-05 eta: 8:03:56 time: 0.0753 data_time: 0.0174 memory: 1684 loss: 1.2568 2023/04/02 21:09:36 - mmengine - INFO - Epoch(train) [29][1300/5005] lr: 8.1871e-05 eta: 8:03:47 time: 0.0781 data_time: 0.0172 memory: 1684 loss: 1.2480 2023/04/02 21:09:44 - mmengine - INFO - Epoch(train) [29][1400/5005] lr: 8.1871e-05 eta: 8:03:39 time: 0.0768 data_time: 0.0172 memory: 1684 loss: 1.1739 2023/04/02 21:09:52 - mmengine - INFO - Epoch(train) [29][1500/5005] lr: 8.1871e-05 eta: 8:03:31 time: 0.0780 data_time: 0.0171 memory: 1684 loss: 1.1991 2023/04/02 21:10:01 - mmengine - INFO - Epoch(train) [29][1600/5005] lr: 8.1871e-05 eta: 8:03:23 time: 0.0758 data_time: 0.0174 memory: 1684 loss: 1.4723 2023/04/02 21:10:09 - mmengine - INFO - Epoch(train) [29][1700/5005] lr: 8.1871e-05 eta: 8:03:15 time: 0.0785 data_time: 0.0173 memory: 1684 loss: 1.1499 2023/04/02 21:10:17 - mmengine - INFO - Epoch(train) [29][1800/5005] lr: 8.1871e-05 eta: 8:03:06 time: 0.0766 data_time: 0.0173 memory: 1684 loss: 1.3372 2023/04/02 21:10:21 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:10:25 - mmengine - INFO - Epoch(train) [29][1900/5005] lr: 8.1871e-05 eta: 8:02:58 time: 0.0757 data_time: 0.0171 memory: 1684 loss: 1.4586 2023/04/02 21:10:32 - mmengine - INFO - Epoch(train) [29][2000/5005] lr: 8.1871e-05 eta: 8:02:49 time: 0.0892 data_time: 0.0173 memory: 1684 loss: 1.2937 2023/04/02 21:10:40 - mmengine - INFO - Epoch(train) [29][2100/5005] lr: 8.1871e-05 eta: 8:02:41 time: 0.0784 data_time: 0.0164 memory: 1684 loss: 1.1838 2023/04/02 21:10:49 - mmengine - INFO - Epoch(train) [29][2200/5005] lr: 8.1871e-05 eta: 8:02:32 time: 0.0785 data_time: 0.0172 memory: 1684 loss: 1.0916 2023/04/02 21:10:57 - mmengine - INFO - Epoch(train) [29][2300/5005] lr: 8.1871e-05 eta: 8:02:25 time: 0.0832 data_time: 0.0171 memory: 1684 loss: 1.2296 2023/04/02 21:11:05 - mmengine - INFO - Epoch(train) [29][2400/5005] lr: 8.1871e-05 eta: 8:02:16 time: 0.0744 data_time: 0.0174 memory: 1684 loss: 1.2971 2023/04/02 21:11:13 - mmengine - INFO - Epoch(train) [29][2500/5005] lr: 8.1871e-05 eta: 8:02:07 time: 0.0893 data_time: 0.0172 memory: 1684 loss: 1.1383 2023/04/02 21:11:21 - mmengine - INFO - Epoch(train) [29][2600/5005] lr: 8.1871e-05 eta: 8:01:59 time: 0.0823 data_time: 0.0176 memory: 1684 loss: 1.1359 2023/04/02 21:11:29 - mmengine - INFO - Epoch(train) [29][2700/5005] lr: 8.1871e-05 eta: 8:01:51 time: 0.0777 data_time: 0.0175 memory: 1684 loss: 1.4747 2023/04/02 21:11:37 - mmengine - INFO - Epoch(train) [29][2800/5005] lr: 8.1871e-05 eta: 8:01:44 time: 0.1140 data_time: 0.0173 memory: 1684 loss: 1.2624 2023/04/02 21:11:42 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:11:46 - mmengine - INFO - Epoch(train) [29][2900/5005] lr: 8.1871e-05 eta: 8:01:36 time: 0.0809 data_time: 0.0172 memory: 1684 loss: 1.3878 2023/04/02 21:11:54 - mmengine - INFO - Epoch(train) [29][3000/5005] lr: 8.1871e-05 eta: 8:01:28 time: 0.0773 data_time: 0.0172 memory: 1684 loss: 1.1700 2023/04/02 21:12:02 - mmengine - INFO - Epoch(train) [29][3100/5005] lr: 8.1871e-05 eta: 8:01:19 time: 0.0786 data_time: 0.0172 memory: 1684 loss: 1.4457 2023/04/02 21:12:10 - mmengine - INFO - Epoch(train) [29][3200/5005] lr: 8.1871e-05 eta: 8:01:12 time: 0.0804 data_time: 0.0173 memory: 1684 loss: 1.3309 2023/04/02 21:12:18 - mmengine - INFO - Epoch(train) [29][3300/5005] lr: 8.1871e-05 eta: 8:01:04 time: 0.0859 data_time: 0.0172 memory: 1684 loss: 1.4056 2023/04/02 21:12:26 - mmengine - INFO - Epoch(train) [29][3400/5005] lr: 8.1871e-05 eta: 8:00:55 time: 0.0823 data_time: 0.0175 memory: 1684 loss: 1.0563 2023/04/02 21:12:34 - mmengine - INFO - Epoch(train) [29][3500/5005] lr: 8.1871e-05 eta: 8:00:46 time: 0.0747 data_time: 0.0172 memory: 1684 loss: 1.0896 2023/04/02 21:12:42 - mmengine - INFO - Epoch(train) [29][3600/5005] lr: 8.1871e-05 eta: 8:00:38 time: 0.0826 data_time: 0.0171 memory: 1684 loss: 1.1539 2023/04/02 21:12:50 - mmengine - INFO - Epoch(train) [29][3700/5005] lr: 8.1871e-05 eta: 8:00:29 time: 0.0767 data_time: 0.0173 memory: 1684 loss: 1.2769 2023/04/02 21:12:58 - mmengine - INFO - Epoch(train) [29][3800/5005] lr: 8.1871e-05 eta: 8:00:21 time: 0.0785 data_time: 0.0170 memory: 1684 loss: 1.2376 2023/04/02 21:13:03 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:13:06 - mmengine - INFO - Epoch(train) [29][3900/5005] lr: 8.1871e-05 eta: 8:00:13 time: 0.0752 data_time: 0.0166 memory: 1684 loss: 1.2428 2023/04/02 21:13:14 - mmengine - INFO - Epoch(train) [29][4000/5005] lr: 8.1871e-05 eta: 8:00:04 time: 0.0858 data_time: 0.0172 memory: 1684 loss: 1.1879 2023/04/02 21:13:22 - mmengine - INFO - Epoch(train) [29][4100/5005] lr: 8.1871e-05 eta: 7:59:55 time: 0.0746 data_time: 0.0174 memory: 1684 loss: 1.2788 2023/04/02 21:13:29 - mmengine - INFO - Epoch(train) [29][4200/5005] lr: 8.1871e-05 eta: 7:59:46 time: 0.0752 data_time: 0.0176 memory: 1684 loss: 1.3683 2023/04/02 21:13:37 - mmengine - INFO - Epoch(train) [29][4300/5005] lr: 8.1871e-05 eta: 7:59:38 time: 0.0743 data_time: 0.0173 memory: 1684 loss: 1.1875 2023/04/02 21:13:45 - mmengine - INFO - Epoch(train) [29][4400/5005] lr: 8.1871e-05 eta: 7:59:29 time: 0.0764 data_time: 0.0172 memory: 1684 loss: 1.2211 2023/04/02 21:13:53 - mmengine - INFO - Epoch(train) [29][4500/5005] lr: 8.1871e-05 eta: 7:59:21 time: 0.0780 data_time: 0.0173 memory: 1684 loss: 1.2777 2023/04/02 21:14:01 - mmengine - INFO - Epoch(train) [29][4600/5005] lr: 8.1871e-05 eta: 7:59:12 time: 0.0741 data_time: 0.0176 memory: 1684 loss: 1.2201 2023/04/02 21:14:09 - mmengine - INFO - Epoch(train) [29][4700/5005] lr: 8.1871e-05 eta: 7:59:03 time: 0.0795 data_time: 0.0200 memory: 1684 loss: 1.2567 2023/04/02 21:14:17 - mmengine - INFO - Epoch(train) [29][4800/5005] lr: 8.1871e-05 eta: 7:58:55 time: 0.0796 data_time: 0.0192 memory: 1684 loss: 1.2576 2023/04/02 21:14:22 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:14:25 - mmengine - INFO - Epoch(train) [29][4900/5005] lr: 8.1871e-05 eta: 7:58:46 time: 0.0751 data_time: 0.0171 memory: 1684 loss: 1.2591 2023/04/02 21:14:33 - mmengine - INFO - Epoch(train) [29][5000/5005] lr: 8.1871e-05 eta: 7:58:37 time: 0.0773 data_time: 0.0182 memory: 1684 loss: 1.3040 2023/04/02 21:14:33 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:14:33 - mmengine - INFO - Saving checkpoint at 29 epochs 2023/04/02 21:14:39 - mmengine - INFO - Epoch(val) [29][100/196] eta: 0:00:04 time: 0.0343 data_time: 0.0084 memory: 1684 2023/04/02 21:14:51 - mmengine - INFO - Epoch(val) [29][196/196] qat.accuracy/top1: 69.6240 qat.accuracy/top5: 89.1420data_time: 0.0073 time: 0.0310 2023/04/02 21:14:56 - mmengine - INFO - Epoch(val) [29][100/196] eta: 0:00:03 time: 0.0373 data_time: 0.0089 memory: 513 2023/04/02 21:15:09 - mmengine - INFO - Epoch(val) [29][196/196] qat.accuracy/top1: 69.6460 qat.accuracy/top5: 89.1680data_time: 0.0076 time: 0.0348 2023/04/02 21:15:12 - mmengine - INFO - Epoch(val) [29][100/196] eta: 0:00:02 time: 0.0244 data_time: 0.0118 memory: 470 2023/04/02 21:15:25 - mmengine - INFO - Epoch(val) [29][196/196] original.accuracy/top1: 69.6300 original.accuracy/top5: 89.1440data_time: 0.0353 time: 0.0452 2023/04/02 21:15:34 - mmengine - INFO - Epoch(train) [30][ 100/5005] lr: 8.0645e-05 eta: 7:58:31 time: 0.0790 data_time: 0.0176 memory: 1735 loss: 1.3657 2023/04/02 21:15:42 - mmengine - INFO - Epoch(train) [30][ 200/5005] lr: 8.0645e-05 eta: 7:58:22 time: 0.0763 data_time: 0.0175 memory: 1735 loss: 1.2388 2023/04/02 21:15:51 - mmengine - INFO - Epoch(train) [30][ 300/5005] lr: 8.0645e-05 eta: 7:58:15 time: 0.0832 data_time: 0.0168 memory: 1684 loss: 1.2488 2023/04/02 21:15:59 - mmengine - INFO - Epoch(train) [30][ 400/5005] lr: 8.0645e-05 eta: 7:58:06 time: 0.0780 data_time: 0.0166 memory: 1684 loss: 1.0880 2023/04/02 21:16:07 - mmengine - INFO - Epoch(train) [30][ 500/5005] lr: 8.0645e-05 eta: 7:57:58 time: 0.0773 data_time: 0.0173 memory: 1684 loss: 1.2470 2023/04/02 21:16:15 - mmengine - INFO - Epoch(train) [30][ 600/5005] lr: 8.0645e-05 eta: 7:57:50 time: 0.0849 data_time: 0.0171 memory: 1684 loss: 1.2486 2023/04/02 21:16:23 - mmengine - INFO - Epoch(train) [30][ 700/5005] lr: 8.0645e-05 eta: 7:57:43 time: 0.0787 data_time: 0.0175 memory: 1684 loss: 1.2301 2023/04/02 21:16:31 - mmengine - INFO - Epoch(train) [30][ 800/5005] lr: 8.0645e-05 eta: 7:57:34 time: 0.0777 data_time: 0.0178 memory: 1684 loss: 1.2049 2023/04/02 21:16:36 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:16:40 - mmengine - INFO - Epoch(train) [30][ 900/5005] lr: 8.0645e-05 eta: 7:57:27 time: 0.0765 data_time: 0.0170 memory: 1684 loss: 1.2310 2023/04/02 21:16:48 - mmengine - INFO - Epoch(train) [30][1000/5005] lr: 8.0645e-05 eta: 7:57:19 time: 0.0963 data_time: 0.0173 memory: 1684 loss: 1.2898 2023/04/02 21:16:56 - mmengine - INFO - Epoch(train) [30][1100/5005] lr: 8.0645e-05 eta: 7:57:10 time: 0.0791 data_time: 0.0171 memory: 1684 loss: 1.3061 2023/04/02 21:17:04 - mmengine - INFO - Epoch(train) [30][1200/5005] lr: 8.0645e-05 eta: 7:57:02 time: 0.0794 data_time: 0.0183 memory: 1684 loss: 1.3149 2023/04/02 21:17:12 - mmengine - INFO - Epoch(train) [30][1300/5005] lr: 8.0645e-05 eta: 7:56:55 time: 0.0981 data_time: 0.0300 memory: 1684 loss: 1.3603 2023/04/02 21:17:20 - mmengine - INFO - Epoch(train) [30][1400/5005] lr: 8.0645e-05 eta: 7:56:47 time: 0.0920 data_time: 0.0174 memory: 1684 loss: 1.1384 2023/04/02 21:17:28 - mmengine - INFO - Epoch(train) [30][1500/5005] lr: 8.0645e-05 eta: 7:56:38 time: 0.0760 data_time: 0.0166 memory: 1684 loss: 1.1945 2023/04/02 21:17:37 - mmengine - INFO - Epoch(train) [30][1600/5005] lr: 8.0645e-05 eta: 7:56:30 time: 0.0757 data_time: 0.0175 memory: 1684 loss: 1.2154 2023/04/02 21:17:45 - mmengine - INFO - Epoch(train) [30][1700/5005] lr: 8.0645e-05 eta: 7:56:22 time: 0.0785 data_time: 0.0171 memory: 1684 loss: 1.1343 2023/04/02 21:17:53 - mmengine - INFO - Epoch(train) [30][1800/5005] lr: 8.0645e-05 eta: 7:56:14 time: 0.0768 data_time: 0.0174 memory: 1684 loss: 1.1728 2023/04/02 21:17:57 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:18:01 - mmengine - INFO - Epoch(train) [30][1900/5005] lr: 8.0645e-05 eta: 7:56:05 time: 0.0755 data_time: 0.0171 memory: 1684 loss: 1.1247 2023/04/02 21:18:09 - mmengine - INFO - Epoch(train) [30][2000/5005] lr: 8.0645e-05 eta: 7:55:58 time: 0.0790 data_time: 0.0193 memory: 1684 loss: 1.3268 2023/04/02 21:18:17 - mmengine - INFO - Epoch(train) [30][2100/5005] lr: 8.0645e-05 eta: 7:55:49 time: 0.0755 data_time: 0.0171 memory: 1684 loss: 1.2553 2023/04/02 21:18:25 - mmengine - INFO - Epoch(train) [30][2200/5005] lr: 8.0645e-05 eta: 7:55:41 time: 0.0887 data_time: 0.0299 memory: 1684 loss: 1.1723 2023/04/02 21:18:33 - mmengine - INFO - Epoch(train) [30][2300/5005] lr: 8.0645e-05 eta: 7:55:32 time: 0.0767 data_time: 0.0181 memory: 1684 loss: 1.3688 2023/04/02 21:18:41 - mmengine - INFO - Epoch(train) [30][2400/5005] lr: 8.0645e-05 eta: 7:55:24 time: 0.0769 data_time: 0.0173 memory: 1684 loss: 1.0096 2023/04/02 21:18:49 - mmengine - INFO - Epoch(train) [30][2500/5005] lr: 8.0645e-05 eta: 7:55:16 time: 0.0863 data_time: 0.0172 memory: 1684 loss: 1.2634 2023/04/02 21:18:57 - mmengine - INFO - Epoch(train) [30][2600/5005] lr: 8.0645e-05 eta: 7:55:07 time: 0.0768 data_time: 0.0173 memory: 1684 loss: 1.3129 2023/04/02 21:19:05 - mmengine - INFO - Epoch(train) [30][2700/5005] lr: 8.0645e-05 eta: 7:54:59 time: 0.0955 data_time: 0.0173 memory: 1684 loss: 1.3190 2023/04/02 21:19:13 - mmengine - INFO - Epoch(train) [30][2800/5005] lr: 8.0645e-05 eta: 7:54:50 time: 0.0751 data_time: 0.0176 memory: 1684 loss: 1.3945 2023/04/02 21:19:17 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:19:21 - mmengine - INFO - Epoch(train) [30][2900/5005] lr: 8.0645e-05 eta: 7:54:42 time: 0.0752 data_time: 0.0178 memory: 1684 loss: 1.3375 2023/04/02 21:19:29 - mmengine - INFO - Epoch(train) [30][3000/5005] lr: 8.0645e-05 eta: 7:54:34 time: 0.0753 data_time: 0.0176 memory: 1684 loss: 1.3166 2023/04/02 21:19:37 - mmengine - INFO - Epoch(train) [30][3100/5005] lr: 8.0645e-05 eta: 7:54:25 time: 0.0914 data_time: 0.0182 memory: 1684 loss: 1.4054 2023/04/02 21:19:45 - mmengine - INFO - Epoch(train) [30][3200/5005] lr: 8.0645e-05 eta: 7:54:18 time: 0.0769 data_time: 0.0166 memory: 1684 loss: 1.2652 2023/04/02 21:19:53 - mmengine - INFO - Epoch(train) [30][3300/5005] lr: 8.0645e-05 eta: 7:54:10 time: 0.0774 data_time: 0.0173 memory: 1684 loss: 1.2148 2023/04/02 21:20:01 - mmengine - INFO - Epoch(train) [30][3400/5005] lr: 8.0645e-05 eta: 7:54:01 time: 0.0776 data_time: 0.0171 memory: 1684 loss: 1.3017 2023/04/02 21:20:10 - mmengine - INFO - Epoch(train) [30][3500/5005] lr: 8.0645e-05 eta: 7:53:54 time: 0.1076 data_time: 0.0174 memory: 1684 loss: 1.3438 2023/04/02 21:20:18 - mmengine - INFO - Epoch(train) [30][3600/5005] lr: 8.0645e-05 eta: 7:53:45 time: 0.0773 data_time: 0.0173 memory: 1684 loss: 1.2505 2023/04/02 21:20:26 - mmengine - INFO - Epoch(train) [30][3700/5005] lr: 8.0645e-05 eta: 7:53:37 time: 0.0853 data_time: 0.0171 memory: 1684 loss: 1.1546 2023/04/02 21:20:34 - mmengine - INFO - Epoch(train) [30][3800/5005] lr: 8.0645e-05 eta: 7:53:28 time: 0.0796 data_time: 0.0172 memory: 1684 loss: 1.1222 2023/04/02 21:20:38 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:20:42 - mmengine - INFO - Epoch(train) [30][3900/5005] lr: 8.0645e-05 eta: 7:53:20 time: 0.0895 data_time: 0.0171 memory: 1684 loss: 1.2538 2023/04/02 21:20:50 - mmengine - INFO - Epoch(train) [30][4000/5005] lr: 8.0645e-05 eta: 7:53:12 time: 0.0785 data_time: 0.0172 memory: 1684 loss: 1.1853 2023/04/02 21:20:58 - mmengine - INFO - Epoch(train) [30][4100/5005] lr: 8.0645e-05 eta: 7:53:04 time: 0.0771 data_time: 0.0166 memory: 1684 loss: 1.1116 2023/04/02 21:21:06 - mmengine - INFO - Epoch(train) [30][4200/5005] lr: 8.0645e-05 eta: 7:52:55 time: 0.0778 data_time: 0.0173 memory: 1684 loss: 1.4696 2023/04/02 21:21:14 - mmengine - INFO - Epoch(train) [30][4300/5005] lr: 8.0645e-05 eta: 7:52:48 time: 0.0766 data_time: 0.0169 memory: 1684 loss: 1.4088 2023/04/02 21:21:22 - mmengine - INFO - Epoch(train) [30][4400/5005] lr: 8.0645e-05 eta: 7:52:39 time: 0.0819 data_time: 0.0193 memory: 1684 loss: 1.3437 2023/04/02 21:21:30 - mmengine - INFO - Epoch(train) [30][4500/5005] lr: 8.0645e-05 eta: 7:52:31 time: 0.0782 data_time: 0.0174 memory: 1684 loss: 1.2242 2023/04/02 21:21:38 - mmengine - INFO - Epoch(train) [30][4600/5005] lr: 8.0645e-05 eta: 7:52:23 time: 0.0865 data_time: 0.0173 memory: 1684 loss: 1.2056 2023/04/02 21:21:46 - mmengine - INFO - Epoch(train) [30][4700/5005] lr: 8.0645e-05 eta: 7:52:14 time: 0.0779 data_time: 0.0171 memory: 1684 loss: 1.2291 2023/04/02 21:21:54 - mmengine - INFO - Epoch(train) [30][4800/5005] lr: 8.0645e-05 eta: 7:52:06 time: 0.0819 data_time: 0.0176 memory: 1684 loss: 1.2201 2023/04/02 21:21:59 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:22:02 - mmengine - INFO - Epoch(train) [30][4900/5005] lr: 8.0645e-05 eta: 7:51:58 time: 0.0799 data_time: 0.0171 memory: 1684 loss: 1.2369 2023/04/02 21:22:10 - mmengine - INFO - Epoch(train) [30][5000/5005] lr: 8.0645e-05 eta: 7:51:49 time: 0.0758 data_time: 0.0177 memory: 1684 loss: 1.2127 2023/04/02 21:22:11 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:22:11 - mmengine - INFO - Saving checkpoint at 30 epochs 2023/04/02 21:22:16 - mmengine - INFO - Epoch(val) [30][100/196] eta: 0:00:03 time: 0.0327 data_time: 0.0076 memory: 1684 2023/04/02 21:22:29 - mmengine - INFO - Epoch(val) [30][196/196] qat.accuracy/top1: 69.7400 qat.accuracy/top5: 89.2220data_time: 0.0117 time: 0.0365 2023/04/02 21:22:33 - mmengine - INFO - Epoch(val) [30][100/196] eta: 0:00:03 time: 0.0356 data_time: 0.0079 memory: 513 2023/04/02 21:22:48 - mmengine - INFO - Epoch(val) [30][196/196] qat.accuracy/top1: 69.6980 qat.accuracy/top5: 89.1700data_time: 0.0074 time: 0.0346 2023/04/02 21:22:51 - mmengine - INFO - Epoch(val) [30][100/196] eta: 0:00:02 time: 0.0261 data_time: 0.0160 memory: 470 2023/04/02 21:23:03 - mmengine - INFO - Epoch(val) [30][196/196] original.accuracy/top1: 69.4340 original.accuracy/top5: 89.0500data_time: 0.0270 time: 0.0364 2023/04/02 21:23:11 - mmengine - INFO - Epoch(train) [31][ 100/5005] lr: 7.9389e-05 eta: 7:51:42 time: 0.0780 data_time: 0.0173 memory: 1735 loss: 1.0563 2023/04/02 21:23:20 - mmengine - INFO - Epoch(train) [31][ 200/5005] lr: 7.9389e-05 eta: 7:51:35 time: 0.0789 data_time: 0.0184 memory: 1684 loss: 1.2182 2023/04/02 21:23:28 - mmengine - INFO - Epoch(train) [31][ 300/5005] lr: 7.9389e-05 eta: 7:51:27 time: 0.0815 data_time: 0.0175 memory: 1684 loss: 1.0891 2023/04/02 21:23:36 - mmengine - INFO - Epoch(train) [31][ 400/5005] lr: 7.9389e-05 eta: 7:51:19 time: 0.0797 data_time: 0.0174 memory: 1684 loss: 1.1102 2023/04/02 21:23:44 - mmengine - INFO - Epoch(train) [31][ 500/5005] lr: 7.9389e-05 eta: 7:51:11 time: 0.0818 data_time: 0.0186 memory: 1684 loss: 1.3059 2023/04/02 21:23:52 - mmengine - INFO - Epoch(train) [31][ 600/5005] lr: 7.9389e-05 eta: 7:51:03 time: 0.0918 data_time: 0.0178 memory: 1684 loss: 1.2684 2023/04/02 21:24:01 - mmengine - INFO - Epoch(train) [31][ 700/5005] lr: 7.9389e-05 eta: 7:50:55 time: 0.0785 data_time: 0.0191 memory: 1684 loss: 1.2575 2023/04/02 21:24:09 - mmengine - INFO - Epoch(train) [31][ 800/5005] lr: 7.9389e-05 eta: 7:50:46 time: 0.0779 data_time: 0.0189 memory: 1684 loss: 1.1586 2023/04/02 21:24:13 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:24:17 - mmengine - INFO - Epoch(train) [31][ 900/5005] lr: 7.9389e-05 eta: 7:50:38 time: 0.0870 data_time: 0.0278 memory: 1684 loss: 1.2284 2023/04/02 21:24:26 - mmengine - INFO - Epoch(train) [31][1000/5005] lr: 7.9389e-05 eta: 7:50:32 time: 0.0794 data_time: 0.0179 memory: 1684 loss: 1.1332 2023/04/02 21:24:34 - mmengine - INFO - Epoch(train) [31][1100/5005] lr: 7.9389e-05 eta: 7:50:24 time: 0.0803 data_time: 0.0183 memory: 1684 loss: 1.2894 2023/04/02 21:24:43 - mmengine - INFO - Epoch(train) [31][1200/5005] lr: 7.9389e-05 eta: 7:50:18 time: 0.0894 data_time: 0.0196 memory: 1684 loss: 1.2094 2023/04/02 21:24:52 - mmengine - INFO - Epoch(train) [31][1300/5005] lr: 7.9389e-05 eta: 7:50:11 time: 0.0802 data_time: 0.0183 memory: 1684 loss: 1.1544 2023/04/02 21:25:00 - mmengine - INFO - Epoch(train) [31][1400/5005] lr: 7.9389e-05 eta: 7:50:03 time: 0.0778 data_time: 0.0184 memory: 1684 loss: 1.2210 2023/04/02 21:25:08 - mmengine - INFO - Epoch(train) [31][1500/5005] lr: 7.9389e-05 eta: 7:49:55 time: 0.0784 data_time: 0.0186 memory: 1684 loss: 1.2522 2023/04/02 21:25:16 - mmengine - INFO - Epoch(train) [31][1600/5005] lr: 7.9389e-05 eta: 7:49:48 time: 0.0810 data_time: 0.0185 memory: 1684 loss: 1.2526 2023/04/02 21:25:25 - mmengine - INFO - Epoch(train) [31][1700/5005] lr: 7.9389e-05 eta: 7:49:40 time: 0.0811 data_time: 0.0197 memory: 1684 loss: 1.2112 2023/04/02 21:25:33 - mmengine - INFO - Epoch(train) [31][1800/5005] lr: 7.9389e-05 eta: 7:49:32 time: 0.0803 data_time: 0.0182 memory: 1684 loss: 1.2888 2023/04/02 21:25:37 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:25:41 - mmengine - INFO - Epoch(train) [31][1900/5005] lr: 7.9389e-05 eta: 7:49:24 time: 0.0770 data_time: 0.0175 memory: 1684 loss: 1.1866 2023/04/02 21:25:49 - mmengine - INFO - Epoch(train) [31][2000/5005] lr: 7.9389e-05 eta: 7:49:16 time: 0.0761 data_time: 0.0181 memory: 1684 loss: 1.3159 2023/04/02 21:25:57 - mmengine - INFO - Epoch(train) [31][2100/5005] lr: 7.9389e-05 eta: 7:49:08 time: 0.0856 data_time: 0.0182 memory: 1684 loss: 1.0828 2023/04/02 21:26:05 - mmengine - INFO - Epoch(train) [31][2200/5005] lr: 7.9389e-05 eta: 7:48:59 time: 0.0764 data_time: 0.0181 memory: 1684 loss: 1.1312 2023/04/02 21:26:13 - mmengine - INFO - Epoch(train) [31][2300/5005] lr: 7.9389e-05 eta: 7:48:51 time: 0.0878 data_time: 0.0183 memory: 1684 loss: 1.3425 2023/04/02 21:26:21 - mmengine - INFO - Epoch(train) [31][2400/5005] lr: 7.9389e-05 eta: 7:48:42 time: 0.0777 data_time: 0.0183 memory: 1684 loss: 1.3299 2023/04/02 21:26:29 - mmengine - INFO - Epoch(train) [31][2500/5005] lr: 7.9389e-05 eta: 7:48:33 time: 0.0754 data_time: 0.0190 memory: 1684 loss: 1.2260 2023/04/02 21:26:36 - mmengine - INFO - Epoch(train) [31][2600/5005] lr: 7.9389e-05 eta: 7:48:24 time: 0.0769 data_time: 0.0186 memory: 1684 loss: 1.3658 2023/04/02 21:26:44 - mmengine - INFO - Epoch(train) [31][2700/5005] lr: 7.9389e-05 eta: 7:48:16 time: 0.0902 data_time: 0.0303 memory: 1684 loss: 1.4312 2023/04/02 21:26:52 - mmengine - INFO - Epoch(train) [31][2800/5005] lr: 7.9389e-05 eta: 7:48:07 time: 0.0769 data_time: 0.0192 memory: 1684 loss: 1.1294 2023/04/02 21:26:56 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:27:00 - mmengine - INFO - Epoch(train) [31][2900/5005] lr: 7.9389e-05 eta: 7:47:58 time: 0.0730 data_time: 0.0173 memory: 1684 loss: 1.1097 2023/04/02 21:27:08 - mmengine - INFO - Epoch(train) [31][3000/5005] lr: 7.9389e-05 eta: 7:47:49 time: 0.0783 data_time: 0.0179 memory: 1684 loss: 1.3066 2023/04/02 21:27:16 - mmengine - INFO - Epoch(train) [31][3100/5005] lr: 7.9389e-05 eta: 7:47:41 time: 0.0785 data_time: 0.0176 memory: 1684 loss: 1.0813 2023/04/02 21:27:24 - mmengine - INFO - Epoch(train) [31][3200/5005] lr: 7.9389e-05 eta: 7:47:32 time: 0.0792 data_time: 0.0185 memory: 1684 loss: 1.0321 2023/04/02 21:27:32 - mmengine - INFO - Epoch(train) [31][3300/5005] lr: 7.9389e-05 eta: 7:47:24 time: 0.0750 data_time: 0.0178 memory: 1684 loss: 1.1662 2023/04/02 21:27:39 - mmengine - INFO - Epoch(train) [31][3400/5005] lr: 7.9389e-05 eta: 7:47:15 time: 0.0776 data_time: 0.0183 memory: 1684 loss: 1.2736 2023/04/02 21:27:48 - mmengine - INFO - Epoch(train) [31][3500/5005] lr: 7.9389e-05 eta: 7:47:07 time: 0.0766 data_time: 0.0184 memory: 1684 loss: 1.1763 2023/04/02 21:27:55 - mmengine - INFO - Epoch(train) [31][3600/5005] lr: 7.9389e-05 eta: 7:46:58 time: 0.0782 data_time: 0.0186 memory: 1684 loss: 1.1447 2023/04/02 21:28:03 - mmengine - INFO - Epoch(train) [31][3700/5005] lr: 7.9389e-05 eta: 7:46:50 time: 0.0905 data_time: 0.0181 memory: 1684 loss: 1.3401 2023/04/02 21:28:11 - mmengine - INFO - Epoch(train) [31][3800/5005] lr: 7.9389e-05 eta: 7:46:41 time: 0.0856 data_time: 0.0179 memory: 1684 loss: 1.3876 2023/04/02 21:28:16 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:28:20 - mmengine - INFO - Epoch(train) [31][3900/5005] lr: 7.9389e-05 eta: 7:46:34 time: 0.0788 data_time: 0.0174 memory: 1684 loss: 1.1569 2023/04/02 21:28:28 - mmengine - INFO - Epoch(train) [31][4000/5005] lr: 7.9389e-05 eta: 7:46:26 time: 0.0969 data_time: 0.0387 memory: 1684 loss: 1.2855 2023/04/02 21:28:36 - mmengine - INFO - Epoch(train) [31][4100/5005] lr: 7.9389e-05 eta: 7:46:18 time: 0.0751 data_time: 0.0178 memory: 1684 loss: 1.3062 2023/04/02 21:28:44 - mmengine - INFO - Epoch(train) [31][4200/5005] lr: 7.9389e-05 eta: 7:46:09 time: 0.0759 data_time: 0.0186 memory: 1684 loss: 1.2120 2023/04/02 21:28:52 - mmengine - INFO - Epoch(train) [31][4300/5005] lr: 7.9389e-05 eta: 7:46:00 time: 0.0757 data_time: 0.0186 memory: 1684 loss: 1.3914 2023/04/02 21:29:00 - mmengine - INFO - Epoch(train) [31][4400/5005] lr: 7.9389e-05 eta: 7:45:51 time: 0.0772 data_time: 0.0180 memory: 1684 loss: 1.2477 2023/04/02 21:29:08 - mmengine - INFO - Epoch(train) [31][4500/5005] lr: 7.9389e-05 eta: 7:45:43 time: 0.0919 data_time: 0.0175 memory: 1684 loss: 1.3743 2023/04/02 21:29:16 - mmengine - INFO - Epoch(train) [31][4600/5005] lr: 7.9389e-05 eta: 7:45:36 time: 0.0878 data_time: 0.0173 memory: 1684 loss: 1.1528 2023/04/02 21:29:24 - mmengine - INFO - Epoch(train) [31][4700/5005] lr: 7.9389e-05 eta: 7:45:28 time: 0.0771 data_time: 0.0177 memory: 1684 loss: 1.0798 2023/04/02 21:29:32 - mmengine - INFO - Epoch(train) [31][4800/5005] lr: 7.9389e-05 eta: 7:45:19 time: 0.0744 data_time: 0.0178 memory: 1684 loss: 1.1500 2023/04/02 21:29:36 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:29:40 - mmengine - INFO - Epoch(train) [31][4900/5005] lr: 7.9389e-05 eta: 7:45:10 time: 0.0768 data_time: 0.0188 memory: 1684 loss: 1.3450 2023/04/02 21:29:48 - mmengine - INFO - Epoch(train) [31][5000/5005] lr: 7.9389e-05 eta: 7:45:02 time: 0.0803 data_time: 0.0215 memory: 1684 loss: 1.3246 2023/04/02 21:29:48 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:29:48 - mmengine - INFO - Saving checkpoint at 31 epochs 2023/04/02 21:29:56 - mmengine - INFO - Epoch(val) [31][100/196] eta: 0:00:05 time: 0.0341 data_time: 0.0085 memory: 1684 2023/04/02 21:30:08 - mmengine - INFO - Epoch(val) [31][196/196] qat.accuracy/top1: 69.6640 qat.accuracy/top5: 89.2220data_time: 0.0072 time: 0.0302 2023/04/02 21:30:12 - mmengine - INFO - Epoch(val) [31][100/196] eta: 0:00:03 time: 0.0344 data_time: 0.0077 memory: 513 2023/04/02 21:30:26 - mmengine - INFO - Epoch(val) [31][196/196] qat.accuracy/top1: 69.5680 qat.accuracy/top5: 89.1500data_time: 0.0066 time: 0.0326 2023/04/02 21:30:29 - mmengine - INFO - Epoch(val) [31][100/196] eta: 0:00:02 time: 0.0235 data_time: 0.0134 memory: 470 2023/04/02 21:30:42 - mmengine - INFO - Epoch(val) [31][196/196] original.accuracy/top1: 69.5600 original.accuracy/top5: 89.1620data_time: 0.0355 time: 0.0449 2023/04/02 21:30:51 - mmengine - INFO - Epoch(train) [32][ 100/5005] lr: 7.8104e-05 eta: 7:44:55 time: 0.0798 data_time: 0.0170 memory: 1735 loss: 1.2005 2023/04/02 21:31:00 - mmengine - INFO - Epoch(train) [32][ 200/5005] lr: 7.8104e-05 eta: 7:44:49 time: 0.0788 data_time: 0.0172 memory: 1735 loss: 1.2367 2023/04/02 21:31:08 - mmengine - INFO - Epoch(train) [32][ 300/5005] lr: 7.8104e-05 eta: 7:44:42 time: 0.0803 data_time: 0.0170 memory: 1735 loss: 1.3754 2023/04/02 21:31:16 - mmengine - INFO - Epoch(train) [32][ 400/5005] lr: 7.8104e-05 eta: 7:44:34 time: 0.0797 data_time: 0.0170 memory: 1684 loss: 1.2110 2023/04/02 21:31:25 - mmengine - INFO - Epoch(train) [32][ 500/5005] lr: 7.8104e-05 eta: 7:44:26 time: 0.0785 data_time: 0.0171 memory: 1684 loss: 1.2675 2023/04/02 21:31:33 - mmengine - INFO - Epoch(train) [32][ 600/5005] lr: 7.8104e-05 eta: 7:44:19 time: 0.0863 data_time: 0.0173 memory: 1684 loss: 1.0955 2023/04/02 21:31:41 - mmengine - INFO - Epoch(train) [32][ 700/5005] lr: 7.8104e-05 eta: 7:44:11 time: 0.0890 data_time: 0.0181 memory: 1684 loss: 1.2565 2023/04/02 21:31:50 - mmengine - INFO - Epoch(train) [32][ 800/5005] lr: 7.8104e-05 eta: 7:44:04 time: 0.0815 data_time: 0.0187 memory: 1684 loss: 1.3300 2023/04/02 21:31:54 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:31:58 - mmengine - INFO - Epoch(train) [32][ 900/5005] lr: 7.8104e-05 eta: 7:43:55 time: 0.0771 data_time: 0.0182 memory: 1684 loss: 1.3056 2023/04/02 21:32:06 - mmengine - INFO - Epoch(train) [32][1000/5005] lr: 7.8104e-05 eta: 7:43:47 time: 0.0781 data_time: 0.0180 memory: 1684 loss: 1.3367 2023/04/02 21:32:14 - mmengine - INFO - Epoch(train) [32][1100/5005] lr: 7.8104e-05 eta: 7:43:39 time: 0.0779 data_time: 0.0183 memory: 1684 loss: 1.2389 2023/04/02 21:32:23 - mmengine - INFO - Epoch(train) [32][1200/5005] lr: 7.8104e-05 eta: 7:43:32 time: 0.0781 data_time: 0.0183 memory: 1684 loss: 1.1582 2023/04/02 21:32:31 - mmengine - INFO - Epoch(train) [32][1300/5005] lr: 7.8104e-05 eta: 7:43:24 time: 0.0881 data_time: 0.0180 memory: 1684 loss: 1.0348 2023/04/02 21:32:39 - mmengine - INFO - Epoch(train) [32][1400/5005] lr: 7.8104e-05 eta: 7:43:15 time: 0.0781 data_time: 0.0175 memory: 1684 loss: 1.3257 2023/04/02 21:32:47 - mmengine - INFO - Epoch(train) [32][1500/5005] lr: 7.8104e-05 eta: 7:43:07 time: 0.0808 data_time: 0.0180 memory: 1684 loss: 1.5646 2023/04/02 21:32:55 - mmengine - INFO - Epoch(train) [32][1600/5005] lr: 7.8104e-05 eta: 7:42:58 time: 0.0783 data_time: 0.0192 memory: 1684 loss: 1.3531 2023/04/02 21:33:03 - mmengine - INFO - Epoch(train) [32][1700/5005] lr: 7.8104e-05 eta: 7:42:51 time: 0.0916 data_time: 0.0179 memory: 1684 loss: 1.2091 2023/04/02 21:33:12 - mmengine - INFO - Epoch(train) [32][1800/5005] lr: 7.8104e-05 eta: 7:42:43 time: 0.0934 data_time: 0.0183 memory: 1684 loss: 1.3476 2023/04/02 21:33:15 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:33:19 - mmengine - INFO - Epoch(train) [32][1900/5005] lr: 7.8104e-05 eta: 7:42:35 time: 0.0755 data_time: 0.0176 memory: 1684 loss: 1.0086 2023/04/02 21:33:27 - mmengine - INFO - Epoch(train) [32][2000/5005] lr: 7.8104e-05 eta: 7:42:26 time: 0.0823 data_time: 0.0210 memory: 1684 loss: 1.2201 2023/04/02 21:33:35 - mmengine - INFO - Epoch(train) [32][2100/5005] lr: 7.8104e-05 eta: 7:42:17 time: 0.0797 data_time: 0.0187 memory: 1684 loss: 1.3045 2023/04/02 21:33:44 - mmengine - INFO - Epoch(train) [32][2200/5005] lr: 7.8104e-05 eta: 7:42:10 time: 0.0775 data_time: 0.0185 memory: 1684 loss: 1.3301 2023/04/02 21:33:52 - mmengine - INFO - Epoch(train) [32][2300/5005] lr: 7.8104e-05 eta: 7:42:02 time: 0.0784 data_time: 0.0183 memory: 1684 loss: 1.3422 2023/04/02 21:34:00 - mmengine - INFO - Epoch(train) [32][2400/5005] lr: 7.8104e-05 eta: 7:41:54 time: 0.0868 data_time: 0.0269 memory: 1684 loss: 1.3244 2023/04/02 21:34:08 - mmengine - INFO - Epoch(train) [32][2500/5005] lr: 7.8104e-05 eta: 7:41:47 time: 0.0790 data_time: 0.0183 memory: 1684 loss: 1.2107 2023/04/02 21:34:16 - mmengine - INFO - Epoch(train) [32][2600/5005] lr: 7.8104e-05 eta: 7:41:38 time: 0.0799 data_time: 0.0185 memory: 1684 loss: 0.9723 2023/04/02 21:34:24 - mmengine - INFO - Epoch(train) [32][2700/5005] lr: 7.8104e-05 eta: 7:41:30 time: 0.0880 data_time: 0.0188 memory: 1684 loss: 1.0092 2023/04/02 21:34:32 - mmengine - INFO - Epoch(train) [32][2800/5005] lr: 7.8104e-05 eta: 7:41:21 time: 0.0853 data_time: 0.0185 memory: 1684 loss: 1.2595 2023/04/02 21:34:36 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:34:41 - mmengine - INFO - Epoch(train) [32][2900/5005] lr: 7.8104e-05 eta: 7:41:14 time: 0.0780 data_time: 0.0185 memory: 1684 loss: 1.3640 2023/04/02 21:34:48 - mmengine - INFO - Epoch(train) [32][3000/5005] lr: 7.8104e-05 eta: 7:41:05 time: 0.0756 data_time: 0.0179 memory: 1684 loss: 1.2269 2023/04/02 21:34:56 - mmengine - INFO - Epoch(train) [32][3100/5005] lr: 7.8104e-05 eta: 7:40:56 time: 0.0755 data_time: 0.0188 memory: 1684 loss: 1.3101 2023/04/02 21:35:04 - mmengine - INFO - Epoch(train) [32][3200/5005] lr: 7.8104e-05 eta: 7:40:48 time: 0.0923 data_time: 0.0333 memory: 1684 loss: 1.3169 2023/04/02 21:35:13 - mmengine - INFO - Epoch(train) [32][3300/5005] lr: 7.8104e-05 eta: 7:40:40 time: 0.0763 data_time: 0.0187 memory: 1684 loss: 1.1550 2023/04/02 21:35:21 - mmengine - INFO - Epoch(train) [32][3400/5005] lr: 7.8104e-05 eta: 7:40:31 time: 0.0757 data_time: 0.0182 memory: 1684 loss: 1.2899 2023/04/02 21:35:29 - mmengine - INFO - Epoch(train) [32][3500/5005] lr: 7.8104e-05 eta: 7:40:23 time: 0.0756 data_time: 0.0182 memory: 1684 loss: 1.2607 2023/04/02 21:35:37 - mmengine - INFO - Epoch(train) [32][3600/5005] lr: 7.8104e-05 eta: 7:40:15 time: 0.0834 data_time: 0.0198 memory: 1684 loss: 1.1678 2023/04/02 21:35:44 - mmengine - INFO - Epoch(train) [32][3700/5005] lr: 7.8104e-05 eta: 7:40:06 time: 0.0796 data_time: 0.0189 memory: 1684 loss: 1.2741 2023/04/02 21:35:53 - mmengine - INFO - Epoch(train) [32][3800/5005] lr: 7.8104e-05 eta: 7:39:58 time: 0.0791 data_time: 0.0186 memory: 1684 loss: 1.2121 2023/04/02 21:35:56 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:36:01 - mmengine - INFO - Epoch(train) [32][3900/5005] lr: 7.8104e-05 eta: 7:39:50 time: 0.0848 data_time: 0.0180 memory: 1684 loss: 1.3152 2023/04/02 21:36:09 - mmengine - INFO - Epoch(train) [32][4000/5005] lr: 7.8104e-05 eta: 7:39:42 time: 0.0769 data_time: 0.0192 memory: 1684 loss: 1.4714 2023/04/02 21:36:17 - mmengine - INFO - Epoch(train) [32][4100/5005] lr: 7.8104e-05 eta: 7:39:33 time: 0.0778 data_time: 0.0183 memory: 1684 loss: 1.1691 2023/04/02 21:36:25 - mmengine - INFO - Epoch(train) [32][4200/5005] lr: 7.8104e-05 eta: 7:39:25 time: 0.0912 data_time: 0.0300 memory: 1684 loss: 1.4081 2023/04/02 21:36:33 - mmengine - INFO - Epoch(train) [32][4300/5005] lr: 7.8104e-05 eta: 7:39:17 time: 0.0744 data_time: 0.0179 memory: 1684 loss: 1.1722 2023/04/02 21:36:41 - mmengine - INFO - Epoch(train) [32][4400/5005] lr: 7.8104e-05 eta: 7:39:08 time: 0.0903 data_time: 0.0185 memory: 1684 loss: 1.2985 2023/04/02 21:36:49 - mmengine - INFO - Epoch(train) [32][4500/5005] lr: 7.8104e-05 eta: 7:39:01 time: 0.0939 data_time: 0.0313 memory: 1684 loss: 1.1526 2023/04/02 21:36:57 - mmengine - INFO - Epoch(train) [32][4600/5005] lr: 7.8104e-05 eta: 7:38:52 time: 0.0876 data_time: 0.0181 memory: 1684 loss: 1.3083 2023/04/02 21:37:05 - mmengine - INFO - Epoch(train) [32][4700/5005] lr: 7.8104e-05 eta: 7:38:44 time: 0.0770 data_time: 0.0182 memory: 1684 loss: 1.2849 2023/04/02 21:37:13 - mmengine - INFO - Epoch(train) [32][4800/5005] lr: 7.8104e-05 eta: 7:38:35 time: 0.0780 data_time: 0.0187 memory: 1684 loss: 1.2107 2023/04/02 21:37:17 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:37:21 - mmengine - INFO - Epoch(train) [32][4900/5005] lr: 7.8104e-05 eta: 7:38:27 time: 0.0826 data_time: 0.0258 memory: 1684 loss: 1.1379 2023/04/02 21:37:29 - mmengine - INFO - Epoch(train) [32][5000/5005] lr: 7.8104e-05 eta: 7:38:19 time: 0.0884 data_time: 0.0190 memory: 1684 loss: 1.2824 2023/04/02 21:37:30 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:37:30 - mmengine - INFO - Saving checkpoint at 32 epochs 2023/04/02 21:37:36 - mmengine - INFO - Epoch(val) [32][100/196] eta: 0:00:04 time: 0.0341 data_time: 0.0086 memory: 1684 2023/04/02 21:37:49 - mmengine - INFO - Epoch(val) [32][196/196] qat.accuracy/top1: 69.5760 qat.accuracy/top5: 89.0380data_time: 0.0072 time: 0.0309 2023/04/02 21:37:54 - mmengine - INFO - Epoch(val) [32][100/196] eta: 0:00:04 time: 0.0345 data_time: 0.0081 memory: 513 2023/04/02 21:38:07 - mmengine - INFO - Epoch(val) [32][196/196] qat.accuracy/top1: 69.6540 qat.accuracy/top5: 88.9360data_time: 0.0063 time: 0.0319 2023/04/02 21:38:10 - mmengine - INFO - Epoch(val) [32][100/196] eta: 0:00:02 time: 0.0236 data_time: 0.0126 memory: 470 2023/04/02 21:38:23 - mmengine - INFO - Epoch(val) [32][196/196] original.accuracy/top1: 69.5000 original.accuracy/top5: 89.0400data_time: 0.0375 time: 0.0476 2023/04/02 21:38:32 - mmengine - INFO - Epoch(train) [33][ 100/5005] lr: 7.6791e-05 eta: 7:38:14 time: 0.1215 data_time: 0.0178 memory: 1735 loss: 1.0631 2023/04/02 21:38:40 - mmengine - INFO - Epoch(train) [33][ 200/5005] lr: 7.6791e-05 eta: 7:38:06 time: 0.0811 data_time: 0.0175 memory: 1735 loss: 1.2491 2023/04/02 21:38:49 - mmengine - INFO - Epoch(train) [33][ 300/5005] lr: 7.6791e-05 eta: 7:37:58 time: 0.0795 data_time: 0.0166 memory: 1735 loss: 1.2645 2023/04/02 21:38:57 - mmengine - INFO - Epoch(train) [33][ 400/5005] lr: 7.6791e-05 eta: 7:37:50 time: 0.0803 data_time: 0.0174 memory: 1735 loss: 1.2136 2023/04/02 21:39:05 - mmengine - INFO - Epoch(train) [33][ 500/5005] lr: 7.6791e-05 eta: 7:37:41 time: 0.0852 data_time: 0.0190 memory: 1735 loss: 1.4055 2023/04/02 21:39:13 - mmengine - INFO - Epoch(train) [33][ 600/5005] lr: 7.6791e-05 eta: 7:37:34 time: 0.0753 data_time: 0.0185 memory: 1735 loss: 1.4218 2023/04/02 21:39:22 - mmengine - INFO - Epoch(train) [33][ 700/5005] lr: 7.6791e-05 eta: 7:37:26 time: 0.0773 data_time: 0.0185 memory: 1684 loss: 1.0614 2023/04/02 21:39:30 - mmengine - INFO - Epoch(train) [33][ 800/5005] lr: 7.6791e-05 eta: 7:37:18 time: 0.0902 data_time: 0.0175 memory: 1684 loss: 1.4250 2023/04/02 21:39:33 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:39:37 - mmengine - INFO - Epoch(train) [33][ 900/5005] lr: 7.6791e-05 eta: 7:37:09 time: 0.0745 data_time: 0.0189 memory: 1684 loss: 1.4630 2023/04/02 21:39:45 - mmengine - INFO - Epoch(train) [33][1000/5005] lr: 7.6791e-05 eta: 7:37:01 time: 0.0785 data_time: 0.0183 memory: 1684 loss: 1.2870 2023/04/02 21:39:53 - mmengine - INFO - Epoch(train) [33][1100/5005] lr: 7.6791e-05 eta: 7:36:53 time: 0.0921 data_time: 0.0181 memory: 1684 loss: 1.3404 2023/04/02 21:40:02 - mmengine - INFO - Epoch(train) [33][1200/5005] lr: 7.6791e-05 eta: 7:36:44 time: 0.0775 data_time: 0.0179 memory: 1684 loss: 1.1962 2023/04/02 21:40:10 - mmengine - INFO - Epoch(train) [33][1300/5005] lr: 7.6791e-05 eta: 7:36:36 time: 0.0891 data_time: 0.0178 memory: 1684 loss: 1.1863 2023/04/02 21:40:18 - mmengine - INFO - Epoch(train) [33][1400/5005] lr: 7.6791e-05 eta: 7:36:28 time: 0.0790 data_time: 0.0173 memory: 1684 loss: 1.3934 2023/04/02 21:40:26 - mmengine - INFO - Epoch(train) [33][1500/5005] lr: 7.6791e-05 eta: 7:36:20 time: 0.0811 data_time: 0.0176 memory: 1684 loss: 1.3251 2023/04/02 21:40:34 - mmengine - INFO - Epoch(train) [33][1600/5005] lr: 7.6791e-05 eta: 7:36:12 time: 0.0752 data_time: 0.0176 memory: 1684 loss: 1.2053 2023/04/02 21:40:42 - mmengine - INFO - Epoch(train) [33][1700/5005] lr: 7.6791e-05 eta: 7:36:04 time: 0.0867 data_time: 0.0181 memory: 1684 loss: 1.3055 2023/04/02 21:40:50 - mmengine - INFO - Epoch(train) [33][1800/5005] lr: 7.6791e-05 eta: 7:35:55 time: 0.0766 data_time: 0.0185 memory: 1684 loss: 1.3639 2023/04/02 21:40:53 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:40:58 - mmengine - INFO - Epoch(train) [33][1900/5005] lr: 7.6791e-05 eta: 7:35:47 time: 0.0752 data_time: 0.0182 memory: 1684 loss: 1.2272 2023/04/02 21:41:06 - mmengine - INFO - Epoch(train) [33][2000/5005] lr: 7.6791e-05 eta: 7:35:38 time: 0.0792 data_time: 0.0175 memory: 1684 loss: 1.3163 2023/04/02 21:41:14 - mmengine - INFO - Epoch(train) [33][2100/5005] lr: 7.6791e-05 eta: 7:35:30 time: 0.0941 data_time: 0.0179 memory: 1684 loss: 1.2104 2023/04/02 21:41:22 - mmengine - INFO - Epoch(train) [33][2200/5005] lr: 7.6791e-05 eta: 7:35:22 time: 0.0787 data_time: 0.0180 memory: 1684 loss: 1.1337 2023/04/02 21:41:30 - mmengine - INFO - Epoch(train) [33][2300/5005] lr: 7.6791e-05 eta: 7:35:14 time: 0.0791 data_time: 0.0175 memory: 1684 loss: 1.1145 2023/04/02 21:41:38 - mmengine - INFO - Epoch(train) [33][2400/5005] lr: 7.6791e-05 eta: 7:35:06 time: 0.0756 data_time: 0.0179 memory: 1684 loss: 1.1889 2023/04/02 21:41:46 - mmengine - INFO - Epoch(train) [33][2500/5005] lr: 7.6791e-05 eta: 7:34:57 time: 0.0773 data_time: 0.0179 memory: 1684 loss: 1.2903 2023/04/02 21:41:54 - mmengine - INFO - Epoch(train) [33][2600/5005] lr: 7.6791e-05 eta: 7:34:49 time: 0.0776 data_time: 0.0173 memory: 1684 loss: 1.3068 2023/04/02 21:42:02 - mmengine - INFO - Epoch(train) [33][2700/5005] lr: 7.6791e-05 eta: 7:34:40 time: 0.0777 data_time: 0.0178 memory: 1684 loss: 1.0313 2023/04/02 21:42:10 - mmengine - INFO - Epoch(train) [33][2800/5005] lr: 7.6791e-05 eta: 7:34:33 time: 0.0840 data_time: 0.0177 memory: 1684 loss: 1.4036 2023/04/02 21:42:14 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:42:19 - mmengine - INFO - Epoch(train) [33][2900/5005] lr: 7.6791e-05 eta: 7:34:25 time: 0.0785 data_time: 0.0173 memory: 1684 loss: 1.1664 2023/04/02 21:42:27 - mmengine - INFO - Epoch(train) [33][3000/5005] lr: 7.6791e-05 eta: 7:34:17 time: 0.0856 data_time: 0.0181 memory: 1684 loss: 1.3389 2023/04/02 21:42:35 - mmengine - INFO - Epoch(train) [33][3100/5005] lr: 7.6791e-05 eta: 7:34:09 time: 0.0845 data_time: 0.0176 memory: 1684 loss: 1.2946 2023/04/02 21:42:43 - mmengine - INFO - Epoch(train) [33][3200/5005] lr: 7.6791e-05 eta: 7:34:01 time: 0.0762 data_time: 0.0185 memory: 1684 loss: 1.2898 2023/04/02 21:42:51 - mmengine - INFO - Epoch(train) [33][3300/5005] lr: 7.6791e-05 eta: 7:33:52 time: 0.0800 data_time: 0.0177 memory: 1684 loss: 1.1937 2023/04/02 21:42:59 - mmengine - INFO - Epoch(train) [33][3400/5005] lr: 7.6791e-05 eta: 7:33:43 time: 0.0865 data_time: 0.0287 memory: 1684 loss: 1.1060 2023/04/02 21:43:07 - mmengine - INFO - Epoch(train) [33][3500/5005] lr: 7.6791e-05 eta: 7:33:34 time: 0.0771 data_time: 0.0174 memory: 1684 loss: 1.2498 2023/04/02 21:43:15 - mmengine - INFO - Epoch(train) [33][3600/5005] lr: 7.6791e-05 eta: 7:33:26 time: 0.0756 data_time: 0.0178 memory: 1684 loss: 1.3055 2023/04/02 21:43:23 - mmengine - INFO - Epoch(train) [33][3700/5005] lr: 7.6791e-05 eta: 7:33:18 time: 0.0938 data_time: 0.0181 memory: 1684 loss: 1.4615 2023/04/02 21:43:31 - mmengine - INFO - Epoch(train) [33][3800/5005] lr: 7.6791e-05 eta: 7:33:09 time: 0.0744 data_time: 0.0178 memory: 1684 loss: 1.4503 2023/04/02 21:43:34 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:43:38 - mmengine - INFO - Epoch(train) [33][3900/5005] lr: 7.6791e-05 eta: 7:33:01 time: 0.0808 data_time: 0.0175 memory: 1684 loss: 1.3289 2023/04/02 21:43:47 - mmengine - INFO - Epoch(train) [33][4000/5005] lr: 7.6791e-05 eta: 7:32:53 time: 0.0783 data_time: 0.0176 memory: 1684 loss: 1.2406 2023/04/02 21:43:54 - mmengine - INFO - Epoch(train) [33][4100/5005] lr: 7.6791e-05 eta: 7:32:44 time: 0.0768 data_time: 0.0175 memory: 1684 loss: 1.2463 2023/04/02 21:44:02 - mmengine - INFO - Epoch(train) [33][4200/5005] lr: 7.6791e-05 eta: 7:32:36 time: 0.0783 data_time: 0.0173 memory: 1684 loss: 1.2604 2023/04/02 21:44:10 - mmengine - INFO - Epoch(train) [33][4300/5005] lr: 7.6791e-05 eta: 7:32:27 time: 0.0759 data_time: 0.0176 memory: 1684 loss: 1.3204 2023/04/02 21:44:18 - mmengine - INFO - Epoch(train) [33][4400/5005] lr: 7.6791e-05 eta: 7:32:18 time: 0.0758 data_time: 0.0175 memory: 1684 loss: 1.0211 2023/04/02 21:44:26 - mmengine - INFO - Epoch(train) [33][4500/5005] lr: 7.6791e-05 eta: 7:32:10 time: 0.0861 data_time: 0.0178 memory: 1684 loss: 1.1835 2023/04/02 21:44:34 - mmengine - INFO - Epoch(train) [33][4600/5005] lr: 7.6791e-05 eta: 7:32:02 time: 0.0805 data_time: 0.0177 memory: 1684 loss: 1.2013 2023/04/02 21:44:42 - mmengine - INFO - Epoch(train) [33][4700/5005] lr: 7.6791e-05 eta: 7:31:54 time: 0.0837 data_time: 0.0176 memory: 1684 loss: 1.3727 2023/04/02 21:44:50 - mmengine - INFO - Epoch(train) [33][4800/5005] lr: 7.6791e-05 eta: 7:31:45 time: 0.0754 data_time: 0.0176 memory: 1684 loss: 1.1488 2023/04/02 21:44:53 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:44:58 - mmengine - INFO - Epoch(train) [33][4900/5005] lr: 7.6791e-05 eta: 7:31:37 time: 0.0782 data_time: 0.0174 memory: 1684 loss: 1.3414 2023/04/02 21:45:06 - mmengine - INFO - Epoch(train) [33][5000/5005] lr: 7.6791e-05 eta: 7:31:28 time: 0.0853 data_time: 0.0186 memory: 1684 loss: 1.2473 2023/04/02 21:45:06 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:45:07 - mmengine - INFO - Saving checkpoint at 33 epochs 2023/04/02 21:45:13 - mmengine - INFO - Epoch(val) [33][100/196] eta: 0:00:04 time: 0.0346 data_time: 0.0081 memory: 1684 2023/04/02 21:45:25 - mmengine - INFO - Epoch(val) [33][196/196] qat.accuracy/top1: 69.7160 qat.accuracy/top5: 89.0920data_time: 0.0070 time: 0.0308 2023/04/02 21:45:30 - mmengine - INFO - Epoch(val) [33][100/196] eta: 0:00:03 time: 0.0348 data_time: 0.0069 memory: 513 2023/04/02 21:45:43 - mmengine - INFO - Epoch(val) [33][196/196] qat.accuracy/top1: 69.7020 qat.accuracy/top5: 89.1020data_time: 0.0074 time: 0.0354 2023/04/02 21:45:46 - mmengine - INFO - Epoch(val) [33][100/196] eta: 0:00:02 time: 0.0245 data_time: 0.0145 memory: 470 2023/04/02 21:45:59 - mmengine - INFO - Epoch(val) [33][196/196] original.accuracy/top1: 69.5280 original.accuracy/top5: 89.0660data_time: 0.0299 time: 0.0393 2023/04/02 21:46:09 - mmengine - INFO - Epoch(train) [34][ 100/5005] lr: 7.5452e-05 eta: 7:31:22 time: 0.0826 data_time: 0.0189 memory: 1735 loss: 1.1342 2023/04/02 21:46:17 - mmengine - INFO - Epoch(train) [34][ 200/5005] lr: 7.5452e-05 eta: 7:31:15 time: 0.0790 data_time: 0.0190 memory: 1735 loss: 1.3483 2023/04/02 21:46:26 - mmengine - INFO - Epoch(train) [34][ 300/5005] lr: 7.5452e-05 eta: 7:31:08 time: 0.0769 data_time: 0.0193 memory: 1735 loss: 1.2901 2023/04/02 21:46:34 - mmengine - INFO - Epoch(train) [34][ 400/5005] lr: 7.5452e-05 eta: 7:31:00 time: 0.0787 data_time: 0.0177 memory: 1684 loss: 1.2577 2023/04/02 21:46:42 - mmengine - INFO - Epoch(train) [34][ 500/5005] lr: 7.5452e-05 eta: 7:30:52 time: 0.0780 data_time: 0.0183 memory: 1684 loss: 1.2026 2023/04/02 21:46:50 - mmengine - INFO - Epoch(train) [34][ 600/5005] lr: 7.5452e-05 eta: 7:30:44 time: 0.0763 data_time: 0.0200 memory: 1684 loss: 1.1254 2023/04/02 21:46:58 - mmengine - INFO - Epoch(train) [34][ 700/5005] lr: 7.5452e-05 eta: 7:30:36 time: 0.0766 data_time: 0.0185 memory: 1684 loss: 1.2237 2023/04/02 21:47:06 - mmengine - INFO - Epoch(train) [34][ 800/5005] lr: 7.5452e-05 eta: 7:30:27 time: 0.0751 data_time: 0.0180 memory: 1684 loss: 1.3049 2023/04/02 21:47:09 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:47:14 - mmengine - INFO - Epoch(train) [34][ 900/5005] lr: 7.5452e-05 eta: 7:30:19 time: 0.0759 data_time: 0.0179 memory: 1684 loss: 1.3343 2023/04/02 21:47:23 - mmengine - INFO - Epoch(train) [34][1000/5005] lr: 7.5452e-05 eta: 7:30:11 time: 0.0773 data_time: 0.0188 memory: 1684 loss: 1.2511 2023/04/02 21:47:31 - mmengine - INFO - Epoch(train) [34][1100/5005] lr: 7.5452e-05 eta: 7:30:02 time: 0.0763 data_time: 0.0193 memory: 1684 loss: 1.2035 2023/04/02 21:47:39 - mmengine - INFO - Epoch(train) [34][1200/5005] lr: 7.5452e-05 eta: 7:29:54 time: 0.0759 data_time: 0.0180 memory: 1684 loss: 1.2498 2023/04/02 21:47:47 - mmengine - INFO - Epoch(train) [34][1300/5005] lr: 7.5452e-05 eta: 7:29:46 time: 0.0917 data_time: 0.0183 memory: 1684 loss: 1.1741 2023/04/02 21:47:55 - mmengine - INFO - Epoch(train) [34][1400/5005] lr: 7.5452e-05 eta: 7:29:38 time: 0.0868 data_time: 0.0194 memory: 1684 loss: 1.2889 2023/04/02 21:48:03 - mmengine - INFO - Epoch(train) [34][1500/5005] lr: 7.5452e-05 eta: 7:29:29 time: 0.0842 data_time: 0.0181 memory: 1684 loss: 1.1181 2023/04/02 21:48:11 - mmengine - INFO - Epoch(train) [34][1600/5005] lr: 7.5452e-05 eta: 7:29:21 time: 0.0788 data_time: 0.0187 memory: 1684 loss: 1.2309 2023/04/02 21:48:19 - mmengine - INFO - Epoch(train) [34][1700/5005] lr: 7.5452e-05 eta: 7:29:13 time: 0.0836 data_time: 0.0182 memory: 1684 loss: 1.4033 2023/04/02 21:48:27 - mmengine - INFO - Epoch(train) [34][1800/5005] lr: 7.5452e-05 eta: 7:29:05 time: 0.0768 data_time: 0.0184 memory: 1684 loss: 1.4088 2023/04/02 21:48:30 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:48:35 - mmengine - INFO - Epoch(train) [34][1900/5005] lr: 7.5452e-05 eta: 7:28:57 time: 0.0765 data_time: 0.0176 memory: 1684 loss: 1.1541 2023/04/02 21:48:43 - mmengine - INFO - Epoch(train) [34][2000/5005] lr: 7.5452e-05 eta: 7:28:49 time: 0.0775 data_time: 0.0189 memory: 1684 loss: 1.3816 2023/04/02 21:48:51 - mmengine - INFO - Epoch(train) [34][2100/5005] lr: 7.5452e-05 eta: 7:28:40 time: 0.0761 data_time: 0.0183 memory: 1684 loss: 1.0034 2023/04/02 21:48:59 - mmengine - INFO - Epoch(train) [34][2200/5005] lr: 7.5452e-05 eta: 7:28:32 time: 0.0765 data_time: 0.0183 memory: 1684 loss: 1.0823 2023/04/02 21:49:07 - mmengine - INFO - Epoch(train) [34][2300/5005] lr: 7.5452e-05 eta: 7:28:23 time: 0.0774 data_time: 0.0176 memory: 1684 loss: 1.1332 2023/04/02 21:49:15 - mmengine - INFO - Epoch(train) [34][2400/5005] lr: 7.5452e-05 eta: 7:28:15 time: 0.0807 data_time: 0.0182 memory: 1684 loss: 1.3907 2023/04/02 21:49:23 - mmengine - INFO - Epoch(train) [34][2500/5005] lr: 7.5452e-05 eta: 7:28:06 time: 0.0791 data_time: 0.0191 memory: 1684 loss: 1.2388 2023/04/02 21:49:31 - mmengine - INFO - Epoch(train) [34][2600/5005] lr: 7.5452e-05 eta: 7:27:58 time: 0.0785 data_time: 0.0186 memory: 1684 loss: 1.3574 2023/04/02 21:49:39 - mmengine - INFO - Epoch(train) [34][2700/5005] lr: 7.5452e-05 eta: 7:27:50 time: 0.0784 data_time: 0.0186 memory: 1684 loss: 1.2185 2023/04/02 21:49:47 - mmengine - INFO - Epoch(train) [34][2800/5005] lr: 7.5452e-05 eta: 7:27:41 time: 0.0776 data_time: 0.0178 memory: 1684 loss: 1.4276 2023/04/02 21:49:50 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:49:55 - mmengine - INFO - Epoch(train) [34][2900/5005] lr: 7.5452e-05 eta: 7:27:33 time: 0.0737 data_time: 0.0166 memory: 1684 loss: 1.3744 2023/04/02 21:50:03 - mmengine - INFO - Epoch(train) [34][3000/5005] lr: 7.5452e-05 eta: 7:27:24 time: 0.0758 data_time: 0.0179 memory: 1684 loss: 1.3473 2023/04/02 21:50:11 - mmengine - INFO - Epoch(train) [34][3100/5005] lr: 7.5452e-05 eta: 7:27:17 time: 0.1057 data_time: 0.0386 memory: 1684 loss: 1.2979 2023/04/02 21:50:19 - mmengine - INFO - Epoch(train) [34][3200/5005] lr: 7.5452e-05 eta: 7:27:08 time: 0.0776 data_time: 0.0185 memory: 1684 loss: 1.3968 2023/04/02 21:50:27 - mmengine - INFO - Epoch(train) [34][3300/5005] lr: 7.5452e-05 eta: 7:27:00 time: 0.0790 data_time: 0.0185 memory: 1684 loss: 1.0744 2023/04/02 21:50:35 - mmengine - INFO - Epoch(train) [34][3400/5005] lr: 7.5452e-05 eta: 7:26:51 time: 0.0794 data_time: 0.0183 memory: 1684 loss: 1.2586 2023/04/02 21:50:43 - mmengine - INFO - Epoch(train) [34][3500/5005] lr: 7.5452e-05 eta: 7:26:43 time: 0.0872 data_time: 0.0297 memory: 1684 loss: 1.1822 2023/04/02 21:50:51 - mmengine - INFO - Epoch(train) [34][3600/5005] lr: 7.5452e-05 eta: 7:26:34 time: 0.0776 data_time: 0.0182 memory: 1684 loss: 1.2535 2023/04/02 21:50:59 - mmengine - INFO - Epoch(train) [34][3700/5005] lr: 7.5452e-05 eta: 7:26:26 time: 0.0771 data_time: 0.0183 memory: 1684 loss: 1.2653 2023/04/02 21:51:07 - mmengine - INFO - Epoch(train) [34][3800/5005] lr: 7.5452e-05 eta: 7:26:18 time: 0.0783 data_time: 0.0189 memory: 1684 loss: 1.1775 2023/04/02 21:51:10 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:51:15 - mmengine - INFO - Epoch(train) [34][3900/5005] lr: 7.5452e-05 eta: 7:26:09 time: 0.0767 data_time: 0.0171 memory: 1684 loss: 1.2323 2023/04/02 21:51:23 - mmengine - INFO - Epoch(train) [34][4000/5005] lr: 7.5452e-05 eta: 7:26:01 time: 0.0787 data_time: 0.0177 memory: 1684 loss: 1.3150 2023/04/02 21:51:31 - mmengine - INFO - Epoch(train) [34][4100/5005] lr: 7.5452e-05 eta: 7:25:53 time: 0.0756 data_time: 0.0175 memory: 1684 loss: 1.1898 2023/04/02 21:51:39 - mmengine - INFO - Epoch(train) [34][4200/5005] lr: 7.5452e-05 eta: 7:25:44 time: 0.0765 data_time: 0.0174 memory: 1684 loss: 1.0339 2023/04/02 21:51:47 - mmengine - INFO - Epoch(train) [34][4300/5005] lr: 7.5452e-05 eta: 7:25:36 time: 0.0765 data_time: 0.0175 memory: 1684 loss: 1.0570 2023/04/02 21:51:55 - mmengine - INFO - Epoch(train) [34][4400/5005] lr: 7.5452e-05 eta: 7:25:28 time: 0.0769 data_time: 0.0173 memory: 1684 loss: 1.3302 2023/04/02 21:52:03 - mmengine - INFO - Epoch(train) [34][4500/5005] lr: 7.5452e-05 eta: 7:25:19 time: 0.0747 data_time: 0.0178 memory: 1684 loss: 1.2320 2023/04/02 21:52:11 - mmengine - INFO - Epoch(train) [34][4600/5005] lr: 7.5452e-05 eta: 7:25:10 time: 0.0799 data_time: 0.0175 memory: 1684 loss: 1.0639 2023/04/02 21:52:18 - mmengine - INFO - Epoch(train) [34][4700/5005] lr: 7.5452e-05 eta: 7:25:02 time: 0.0772 data_time: 0.0178 memory: 1684 loss: 1.2876 2023/04/02 21:52:27 - mmengine - INFO - Epoch(train) [34][4800/5005] lr: 7.5452e-05 eta: 7:24:54 time: 0.0784 data_time: 0.0175 memory: 1684 loss: 1.2236 2023/04/02 21:52:29 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:52:35 - mmengine - INFO - Epoch(train) [34][4900/5005] lr: 7.5452e-05 eta: 7:24:45 time: 0.0759 data_time: 0.0176 memory: 1684 loss: 1.4052 2023/04/02 21:52:42 - mmengine - INFO - Epoch(train) [34][5000/5005] lr: 7.5452e-05 eta: 7:24:37 time: 0.0746 data_time: 0.0184 memory: 1684 loss: 1.2354 2023/04/02 21:52:43 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:52:43 - mmengine - INFO - Saving checkpoint at 34 epochs 2023/04/02 21:52:48 - mmengine - INFO - Epoch(val) [34][100/196] eta: 0:00:03 time: 0.0357 data_time: 0.0086 memory: 1684 2023/04/02 21:53:01 - mmengine - INFO - Epoch(val) [34][196/196] qat.accuracy/top1: 69.5800 qat.accuracy/top5: 89.0760data_time: 0.0126 time: 0.0362 2023/04/02 21:53:06 - mmengine - INFO - Epoch(val) [34][100/196] eta: 0:00:04 time: 0.0367 data_time: 0.0082 memory: 513 2023/04/02 21:53:20 - mmengine - INFO - Epoch(val) [34][196/196] qat.accuracy/top1: 69.5440 qat.accuracy/top5: 89.1000data_time: 0.0069 time: 0.0330 2023/04/02 21:53:23 - mmengine - INFO - Epoch(val) [34][100/196] eta: 0:00:02 time: 0.0252 data_time: 0.0144 memory: 470 2023/04/02 21:53:35 - mmengine - INFO - Epoch(val) [34][196/196] original.accuracy/top1: 69.4400 original.accuracy/top5: 89.1400data_time: 0.0341 time: 0.0441 2023/04/02 21:53:45 - mmengine - INFO - Epoch(train) [35][ 100/5005] lr: 7.4088e-05 eta: 7:24:32 time: 0.0772 data_time: 0.0170 memory: 1735 loss: 1.1861 2023/04/02 21:53:54 - mmengine - INFO - Epoch(train) [35][ 200/5005] lr: 7.4088e-05 eta: 7:24:25 time: 0.0776 data_time: 0.0168 memory: 1735 loss: 1.0435 2023/04/02 21:54:02 - mmengine - INFO - Epoch(train) [35][ 300/5005] lr: 7.4088e-05 eta: 7:24:17 time: 0.0937 data_time: 0.0168 memory: 1735 loss: 1.2326 2023/04/02 21:54:10 - mmengine - INFO - Epoch(train) [35][ 400/5005] lr: 7.4088e-05 eta: 7:24:10 time: 0.0757 data_time: 0.0173 memory: 1735 loss: 1.1814 2023/04/02 21:54:19 - mmengine - INFO - Epoch(train) [35][ 500/5005] lr: 7.4088e-05 eta: 7:24:02 time: 0.0914 data_time: 0.0171 memory: 1735 loss: 1.1363 2023/04/02 21:54:27 - mmengine - INFO - Epoch(train) [35][ 600/5005] lr: 7.4088e-05 eta: 7:23:55 time: 0.0974 data_time: 0.0176 memory: 1684 loss: 1.1586 2023/04/02 21:54:35 - mmengine - INFO - Epoch(train) [35][ 700/5005] lr: 7.4088e-05 eta: 7:23:46 time: 0.0905 data_time: 0.0187 memory: 1684 loss: 1.2050 2023/04/02 21:54:43 - mmengine - INFO - Epoch(train) [35][ 800/5005] lr: 7.4088e-05 eta: 7:23:38 time: 0.0755 data_time: 0.0185 memory: 1684 loss: 1.3346 2023/04/02 21:54:46 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:54:51 - mmengine - INFO - Epoch(train) [35][ 900/5005] lr: 7.4088e-05 eta: 7:23:30 time: 0.0906 data_time: 0.0338 memory: 1684 loss: 1.1382 2023/04/02 21:55:00 - mmengine - INFO - Epoch(train) [35][1000/5005] lr: 7.4088e-05 eta: 7:23:22 time: 0.0799 data_time: 0.0179 memory: 1684 loss: 1.1772 2023/04/02 21:55:08 - mmengine - INFO - Epoch(train) [35][1100/5005] lr: 7.4088e-05 eta: 7:23:14 time: 0.0799 data_time: 0.0183 memory: 1684 loss: 1.2223 2023/04/02 21:55:16 - mmengine - INFO - Epoch(train) [35][1200/5005] lr: 7.4088e-05 eta: 7:23:06 time: 0.0781 data_time: 0.0184 memory: 1684 loss: 1.3548 2023/04/02 21:55:24 - mmengine - INFO - Epoch(train) [35][1300/5005] lr: 7.4088e-05 eta: 7:22:58 time: 0.0860 data_time: 0.0248 memory: 1684 loss: 1.1208 2023/04/02 21:55:32 - mmengine - INFO - Epoch(train) [35][1400/5005] lr: 7.4088e-05 eta: 7:22:50 time: 0.0815 data_time: 0.0191 memory: 1684 loss: 1.3169 2023/04/02 21:55:41 - mmengine - INFO - Epoch(train) [35][1500/5005] lr: 7.4088e-05 eta: 7:22:42 time: 0.0773 data_time: 0.0179 memory: 1684 loss: 1.1810 2023/04/02 21:55:49 - mmengine - INFO - Epoch(train) [35][1600/5005] lr: 7.4088e-05 eta: 7:22:35 time: 0.0774 data_time: 0.0185 memory: 1684 loss: 0.9865 2023/04/02 21:55:57 - mmengine - INFO - Epoch(train) [35][1700/5005] lr: 7.4088e-05 eta: 7:22:26 time: 0.0883 data_time: 0.0186 memory: 1684 loss: 1.2829 2023/04/02 21:56:05 - mmengine - INFO - Epoch(train) [35][1800/5005] lr: 7.4088e-05 eta: 7:22:18 time: 0.0762 data_time: 0.0187 memory: 1684 loss: 1.1936 2023/04/02 21:56:07 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:56:13 - mmengine - INFO - Epoch(train) [35][1900/5005] lr: 7.4088e-05 eta: 7:22:09 time: 0.0765 data_time: 0.0187 memory: 1684 loss: 1.2489 2023/04/02 21:56:20 - mmengine - INFO - Epoch(train) [35][2000/5005] lr: 7.4088e-05 eta: 7:22:00 time: 0.0757 data_time: 0.0185 memory: 1684 loss: 1.1240 2023/04/02 21:56:29 - mmengine - INFO - Epoch(train) [35][2100/5005] lr: 7.4088e-05 eta: 7:21:53 time: 0.0881 data_time: 0.0185 memory: 1684 loss: 1.2936 2023/04/02 21:56:37 - mmengine - INFO - Epoch(train) [35][2200/5005] lr: 7.4088e-05 eta: 7:21:44 time: 0.0790 data_time: 0.0184 memory: 1684 loss: 1.1751 2023/04/02 21:56:45 - mmengine - INFO - Epoch(train) [35][2300/5005] lr: 7.4088e-05 eta: 7:21:36 time: 0.0778 data_time: 0.0177 memory: 1684 loss: 1.3224 2023/04/02 21:56:53 - mmengine - INFO - Epoch(train) [35][2400/5005] lr: 7.4088e-05 eta: 7:21:27 time: 0.0808 data_time: 0.0188 memory: 1684 loss: 1.1357 2023/04/02 21:57:00 - mmengine - INFO - Epoch(train) [35][2500/5005] lr: 7.4088e-05 eta: 7:21:18 time: 0.0753 data_time: 0.0180 memory: 1684 loss: 1.2120 2023/04/02 21:57:08 - mmengine - INFO - Epoch(train) [35][2600/5005] lr: 7.4088e-05 eta: 7:21:10 time: 0.0828 data_time: 0.0180 memory: 1684 loss: 1.0065 2023/04/02 21:57:17 - mmengine - INFO - Epoch(train) [35][2700/5005] lr: 7.4088e-05 eta: 7:21:02 time: 0.0889 data_time: 0.0312 memory: 1684 loss: 1.4317 2023/04/02 21:57:24 - mmengine - INFO - Epoch(train) [35][2800/5005] lr: 7.4088e-05 eta: 7:20:53 time: 0.0764 data_time: 0.0182 memory: 1684 loss: 1.2848 2023/04/02 21:57:27 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:57:32 - mmengine - INFO - Epoch(train) [35][2900/5005] lr: 7.4088e-05 eta: 7:20:45 time: 0.0771 data_time: 0.0184 memory: 1684 loss: 1.1466 2023/04/02 21:57:40 - mmengine - INFO - Epoch(train) [35][3000/5005] lr: 7.4088e-05 eta: 7:20:36 time: 0.0792 data_time: 0.0183 memory: 1684 loss: 1.2519 2023/04/02 21:57:48 - mmengine - INFO - Epoch(train) [35][3100/5005] lr: 7.4088e-05 eta: 7:20:27 time: 0.0754 data_time: 0.0183 memory: 1684 loss: 1.2193 2023/04/02 21:57:56 - mmengine - INFO - Epoch(train) [35][3200/5005] lr: 7.4088e-05 eta: 7:20:19 time: 0.0876 data_time: 0.0181 memory: 1684 loss: 1.3783 2023/04/02 21:58:04 - mmengine - INFO - Epoch(train) [35][3300/5005] lr: 7.4088e-05 eta: 7:20:11 time: 0.0910 data_time: 0.0178 memory: 1684 loss: 1.3455 2023/04/02 21:58:12 - mmengine - INFO - Epoch(train) [35][3400/5005] lr: 7.4088e-05 eta: 7:20:03 time: 0.0855 data_time: 0.0183 memory: 1684 loss: 1.1721 2023/04/02 21:58:20 - mmengine - INFO - Epoch(train) [35][3500/5005] lr: 7.4088e-05 eta: 7:19:55 time: 0.0761 data_time: 0.0178 memory: 1684 loss: 1.2904 2023/04/02 21:58:28 - mmengine - INFO - Epoch(train) [35][3600/5005] lr: 7.4088e-05 eta: 7:19:47 time: 0.0764 data_time: 0.0177 memory: 1684 loss: 1.3511 2023/04/02 21:58:36 - mmengine - INFO - Epoch(train) [35][3700/5005] lr: 7.4088e-05 eta: 7:19:38 time: 0.0914 data_time: 0.0177 memory: 1684 loss: 1.0812 2023/04/02 21:58:45 - mmengine - INFO - Epoch(train) [35][3800/5005] lr: 7.4088e-05 eta: 7:19:30 time: 0.0768 data_time: 0.0172 memory: 1684 loss: 1.5486 2023/04/02 21:58:47 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 21:58:52 - mmengine - INFO - Epoch(train) [35][3900/5005] lr: 7.4088e-05 eta: 7:19:22 time: 0.0746 data_time: 0.0179 memory: 1684 loss: 1.2542 2023/04/02 21:59:00 - mmengine - INFO - Epoch(train) [35][4000/5005] lr: 7.4088e-05 eta: 7:19:13 time: 0.0766 data_time: 0.0188 memory: 1684 loss: 1.2260 2023/04/02 21:59:08 - mmengine - INFO - Epoch(train) [35][4100/5005] lr: 7.4088e-05 eta: 7:19:05 time: 0.0930 data_time: 0.0333 memory: 1684 loss: 1.2223 2023/04/02 21:59:16 - mmengine - INFO - Epoch(train) [35][4200/5005] lr: 7.4088e-05 eta: 7:18:56 time: 0.0748 data_time: 0.0177 memory: 1684 loss: 1.3996 2023/04/02 21:59:24 - mmengine - INFO - Epoch(train) [35][4300/5005] lr: 7.4088e-05 eta: 7:18:49 time: 0.0794 data_time: 0.0175 memory: 1684 loss: 1.4192 2023/04/02 21:59:33 - mmengine - INFO - Epoch(train) [35][4400/5005] lr: 7.4088e-05 eta: 7:18:41 time: 0.0798 data_time: 0.0175 memory: 1684 loss: 1.1293 2023/04/02 21:59:41 - mmengine - INFO - Epoch(train) [35][4500/5005] lr: 7.4088e-05 eta: 7:18:33 time: 0.0761 data_time: 0.0177 memory: 1684 loss: 1.1940 2023/04/02 21:59:49 - mmengine - INFO - Epoch(train) [35][4600/5005] lr: 7.4088e-05 eta: 7:18:24 time: 0.0804 data_time: 0.0176 memory: 1684 loss: 1.2576 2023/04/02 21:59:56 - mmengine - INFO - Epoch(train) [35][4700/5005] lr: 7.4088e-05 eta: 7:18:15 time: 0.0793 data_time: 0.0181 memory: 1684 loss: 1.2692 2023/04/02 22:00:04 - mmengine - INFO - Epoch(train) [35][4800/5005] lr: 7.4088e-05 eta: 7:18:07 time: 0.0767 data_time: 0.0180 memory: 1684 loss: 1.4189 2023/04/02 22:00:07 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:00:12 - mmengine - INFO - Epoch(train) [35][4900/5005] lr: 7.4088e-05 eta: 7:17:59 time: 0.0754 data_time: 0.0176 memory: 1684 loss: 1.1842 2023/04/02 22:00:21 - mmengine - INFO - Epoch(train) [35][5000/5005] lr: 7.4088e-05 eta: 7:17:51 time: 0.0792 data_time: 0.0191 memory: 1684 loss: 1.2143 2023/04/02 22:00:21 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:00:21 - mmengine - INFO - Saving checkpoint at 35 epochs 2023/04/02 22:00:28 - mmengine - INFO - Epoch(val) [35][100/196] eta: 0:00:04 time: 0.0337 data_time: 0.0082 memory: 1684 2023/04/02 22:00:40 - mmengine - INFO - Epoch(val) [35][196/196] qat.accuracy/top1: 69.6680 qat.accuracy/top5: 89.1780data_time: 0.0080 time: 0.0314 2023/04/02 22:00:44 - mmengine - INFO - Epoch(val) [35][100/196] eta: 0:00:03 time: 0.0365 data_time: 0.0080 memory: 513 2023/04/02 22:00:58 - mmengine - INFO - Epoch(val) [35][196/196] qat.accuracy/top1: 69.6760 qat.accuracy/top5: 89.2120data_time: 0.0068 time: 0.0340 2023/04/02 22:01:01 - mmengine - INFO - Epoch(val) [35][100/196] eta: 0:00:02 time: 0.0234 data_time: 0.0125 memory: 470 2023/04/02 22:01:15 - mmengine - INFO - Epoch(val) [35][196/196] original.accuracy/top1: 69.5320 original.accuracy/top5: 89.2120data_time: 0.0265 time: 0.0366 2023/04/02 22:01:25 - mmengine - INFO - Epoch(train) [36][ 100/5005] lr: 7.2700e-05 eta: 7:17:46 time: 0.0817 data_time: 0.0178 memory: 1735 loss: 1.4142 2023/04/02 22:01:34 - mmengine - INFO - Epoch(train) [36][ 200/5005] lr: 7.2700e-05 eta: 7:17:39 time: 0.0819 data_time: 0.0178 memory: 1735 loss: 1.1639 2023/04/02 22:01:42 - mmengine - INFO - Epoch(train) [36][ 300/5005] lr: 7.2700e-05 eta: 7:17:32 time: 0.0781 data_time: 0.0174 memory: 1735 loss: 1.1906 2023/04/02 22:01:50 - mmengine - INFO - Epoch(train) [36][ 400/5005] lr: 7.2700e-05 eta: 7:17:24 time: 0.0851 data_time: 0.0173 memory: 1735 loss: 1.2744 2023/04/02 22:01:59 - mmengine - INFO - Epoch(train) [36][ 500/5005] lr: 7.2700e-05 eta: 7:17:16 time: 0.0794 data_time: 0.0177 memory: 1735 loss: 1.1116 2023/04/02 22:02:07 - mmengine - INFO - Epoch(train) [36][ 600/5005] lr: 7.2700e-05 eta: 7:17:08 time: 0.0769 data_time: 0.0175 memory: 1735 loss: 1.1632 2023/04/02 22:02:15 - mmengine - INFO - Epoch(train) [36][ 700/5005] lr: 7.2700e-05 eta: 7:17:00 time: 0.0884 data_time: 0.0303 memory: 1735 loss: 1.2704 2023/04/02 22:02:23 - mmengine - INFO - Epoch(train) [36][ 800/5005] lr: 7.2700e-05 eta: 7:16:52 time: 0.0768 data_time: 0.0178 memory: 1684 loss: 1.2440 2023/04/02 22:02:25 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:02:31 - mmengine - INFO - Epoch(train) [36][ 900/5005] lr: 7.2700e-05 eta: 7:16:44 time: 0.0800 data_time: 0.0177 memory: 1684 loss: 1.0631 2023/04/02 22:02:40 - mmengine - INFO - Epoch(train) [36][1000/5005] lr: 7.2700e-05 eta: 7:16:37 time: 0.0778 data_time: 0.0175 memory: 1684 loss: 1.4010 2023/04/02 22:02:49 - mmengine - INFO - Epoch(train) [36][1100/5005] lr: 7.2700e-05 eta: 7:16:30 time: 0.0802 data_time: 0.0196 memory: 1684 loss: 1.2983 2023/04/02 22:02:57 - mmengine - INFO - Epoch(train) [36][1200/5005] lr: 7.2700e-05 eta: 7:16:22 time: 0.0797 data_time: 0.0176 memory: 1684 loss: 1.3117 2023/04/02 22:03:05 - mmengine - INFO - Epoch(train) [36][1300/5005] lr: 7.2700e-05 eta: 7:16:14 time: 0.0872 data_time: 0.0169 memory: 1684 loss: 1.3123 2023/04/02 22:03:13 - mmengine - INFO - Epoch(train) [36][1400/5005] lr: 7.2700e-05 eta: 7:16:06 time: 0.0843 data_time: 0.0174 memory: 1684 loss: 1.2951 2023/04/02 22:03:21 - mmengine - INFO - Epoch(train) [36][1500/5005] lr: 7.2700e-05 eta: 7:15:57 time: 0.0883 data_time: 0.0173 memory: 1684 loss: 1.1787 2023/04/02 22:03:29 - mmengine - INFO - Epoch(train) [36][1600/5005] lr: 7.2700e-05 eta: 7:15:48 time: 0.0757 data_time: 0.0173 memory: 1684 loss: 1.2379 2023/04/02 22:03:37 - mmengine - INFO - Epoch(train) [36][1700/5005] lr: 7.2700e-05 eta: 7:15:40 time: 0.0765 data_time: 0.0172 memory: 1684 loss: 1.3121 2023/04/02 22:03:45 - mmengine - INFO - Epoch(train) [36][1800/5005] lr: 7.2700e-05 eta: 7:15:32 time: 0.0869 data_time: 0.0173 memory: 1684 loss: 1.2195 2023/04/02 22:03:47 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:03:53 - mmengine - INFO - Epoch(train) [36][1900/5005] lr: 7.2700e-05 eta: 7:15:24 time: 0.0787 data_time: 0.0174 memory: 1684 loss: 1.3234 2023/04/02 22:04:01 - mmengine - INFO - Epoch(train) [36][2000/5005] lr: 7.2700e-05 eta: 7:15:15 time: 0.0799 data_time: 0.0172 memory: 1684 loss: 1.1487 2023/04/02 22:04:09 - mmengine - INFO - Epoch(train) [36][2100/5005] lr: 7.2700e-05 eta: 7:15:08 time: 0.0872 data_time: 0.0172 memory: 1684 loss: 1.2881 2023/04/02 22:04:18 - mmengine - INFO - Epoch(train) [36][2200/5005] lr: 7.2700e-05 eta: 7:15:00 time: 0.0841 data_time: 0.0182 memory: 1684 loss: 1.2965 2023/04/02 22:04:26 - mmengine - INFO - Epoch(train) [36][2300/5005] lr: 7.2700e-05 eta: 7:14:52 time: 0.0782 data_time: 0.0175 memory: 1684 loss: 1.2579 2023/04/02 22:04:34 - mmengine - INFO - Epoch(train) [36][2400/5005] lr: 7.2700e-05 eta: 7:14:44 time: 0.0756 data_time: 0.0173 memory: 1684 loss: 1.3415 2023/04/02 22:04:42 - mmengine - INFO - Epoch(train) [36][2500/5005] lr: 7.2700e-05 eta: 7:14:35 time: 0.0742 data_time: 0.0173 memory: 1684 loss: 1.3205 2023/04/02 22:04:50 - mmengine - INFO - Epoch(train) [36][2600/5005] lr: 7.2700e-05 eta: 7:14:27 time: 0.0784 data_time: 0.0175 memory: 1684 loss: 1.1588 2023/04/02 22:04:58 - mmengine - INFO - Epoch(train) [36][2700/5005] lr: 7.2700e-05 eta: 7:14:18 time: 0.0738 data_time: 0.0173 memory: 1684 loss: 1.2915 2023/04/02 22:05:06 - mmengine - INFO - Epoch(train) [36][2800/5005] lr: 7.2700e-05 eta: 7:14:10 time: 0.0793 data_time: 0.0166 memory: 1684 loss: 1.1752 2023/04/02 22:05:08 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:05:14 - mmengine - INFO - Epoch(train) [36][2900/5005] lr: 7.2700e-05 eta: 7:14:01 time: 0.0762 data_time: 0.0180 memory: 1684 loss: 1.1556 2023/04/02 22:05:22 - mmengine - INFO - Epoch(train) [36][3000/5005] lr: 7.2700e-05 eta: 7:13:53 time: 0.0775 data_time: 0.0176 memory: 1684 loss: 1.2313 2023/04/02 22:05:30 - mmengine - INFO - Epoch(train) [36][3100/5005] lr: 7.2700e-05 eta: 7:13:45 time: 0.0789 data_time: 0.0176 memory: 1684 loss: 1.1425 2023/04/02 22:05:38 - mmengine - INFO - Epoch(train) [36][3200/5005] lr: 7.2700e-05 eta: 7:13:37 time: 0.1041 data_time: 0.0176 memory: 1684 loss: 1.3934 2023/04/02 22:05:46 - mmengine - INFO - Epoch(train) [36][3300/5005] lr: 7.2700e-05 eta: 7:13:28 time: 0.0775 data_time: 0.0173 memory: 1684 loss: 1.4770 2023/04/02 22:05:54 - mmengine - INFO - Epoch(train) [36][3400/5005] lr: 7.2700e-05 eta: 7:13:21 time: 0.0771 data_time: 0.0175 memory: 1684 loss: 1.1064 2023/04/02 22:06:02 - mmengine - INFO - Epoch(train) [36][3500/5005] lr: 7.2700e-05 eta: 7:13:13 time: 0.0921 data_time: 0.0172 memory: 1684 loss: 1.2100 2023/04/02 22:06:11 - mmengine - INFO - Epoch(train) [36][3600/5005] lr: 7.2700e-05 eta: 7:13:05 time: 0.0779 data_time: 0.0172 memory: 1684 loss: 1.2202 2023/04/02 22:06:18 - mmengine - INFO - Epoch(train) [36][3700/5005] lr: 7.2700e-05 eta: 7:12:56 time: 0.0773 data_time: 0.0175 memory: 1684 loss: 1.2151 2023/04/02 22:06:26 - mmengine - INFO - Epoch(train) [36][3800/5005] lr: 7.2700e-05 eta: 7:12:48 time: 0.0796 data_time: 0.0173 memory: 1684 loss: 1.0460 2023/04/02 22:06:29 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:06:35 - mmengine - INFO - Epoch(train) [36][3900/5005] lr: 7.2700e-05 eta: 7:12:40 time: 0.0907 data_time: 0.0181 memory: 1684 loss: 1.1420 2023/04/02 22:06:42 - mmengine - INFO - Epoch(train) [36][4000/5005] lr: 7.2700e-05 eta: 7:12:32 time: 0.0868 data_time: 0.0280 memory: 1684 loss: 1.1172 2023/04/02 22:06:50 - mmengine - INFO - Epoch(train) [36][4100/5005] lr: 7.2700e-05 eta: 7:12:23 time: 0.0888 data_time: 0.0166 memory: 1684 loss: 1.1606 2023/04/02 22:06:58 - mmengine - INFO - Epoch(train) [36][4200/5005] lr: 7.2700e-05 eta: 7:12:14 time: 0.0756 data_time: 0.0174 memory: 1684 loss: 1.3681 2023/04/02 22:07:06 - mmengine - INFO - Epoch(train) [36][4300/5005] lr: 7.2700e-05 eta: 7:12:06 time: 0.0794 data_time: 0.0173 memory: 1684 loss: 1.1258 2023/04/02 22:07:15 - mmengine - INFO - Epoch(train) [36][4400/5005] lr: 7.2700e-05 eta: 7:11:58 time: 0.0862 data_time: 0.0168 memory: 1684 loss: 1.3137 2023/04/02 22:07:23 - mmengine - INFO - Epoch(train) [36][4500/5005] lr: 7.2700e-05 eta: 7:11:50 time: 0.0806 data_time: 0.0180 memory: 1684 loss: 1.2693 2023/04/02 22:07:31 - mmengine - INFO - Epoch(train) [36][4600/5005] lr: 7.2700e-05 eta: 7:11:42 time: 0.0808 data_time: 0.0174 memory: 1684 loss: 1.2920 2023/04/02 22:07:39 - mmengine - INFO - Epoch(train) [36][4700/5005] lr: 7.2700e-05 eta: 7:11:34 time: 0.0758 data_time: 0.0173 memory: 1684 loss: 1.1888 2023/04/02 22:07:47 - mmengine - INFO - Epoch(train) [36][4800/5005] lr: 7.2700e-05 eta: 7:11:25 time: 0.0753 data_time: 0.0172 memory: 1684 loss: 1.2097 2023/04/02 22:07:48 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:07:54 - mmengine - INFO - Epoch(train) [36][4900/5005] lr: 7.2700e-05 eta: 7:11:17 time: 0.0813 data_time: 0.0175 memory: 1684 loss: 1.3177 2023/04/02 22:08:03 - mmengine - INFO - Epoch(train) [36][5000/5005] lr: 7.2700e-05 eta: 7:11:09 time: 0.0772 data_time: 0.0181 memory: 1684 loss: 1.4673 2023/04/02 22:08:03 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:08:03 - mmengine - INFO - Saving checkpoint at 36 epochs 2023/04/02 22:08:09 - mmengine - INFO - Epoch(val) [36][100/196] eta: 0:00:03 time: 0.0342 data_time: 0.0089 memory: 1684 2023/04/02 22:08:21 - mmengine - INFO - Epoch(val) [36][196/196] qat.accuracy/top1: 69.4920 qat.accuracy/top5: 89.0720data_time: 0.0172 time: 0.0407 2023/04/02 22:08:26 - mmengine - INFO - Epoch(val) [36][100/196] eta: 0:00:03 time: 0.0353 data_time: 0.0082 memory: 513 2023/04/02 22:08:39 - mmengine - INFO - Epoch(val) [36][196/196] qat.accuracy/top1: 69.4120 qat.accuracy/top5: 89.0740data_time: 0.0073 time: 0.0336 2023/04/02 22:08:42 - mmengine - INFO - Epoch(val) [36][100/196] eta: 0:00:03 time: 0.0205 data_time: 0.0100 memory: 470 2023/04/02 22:08:55 - mmengine - INFO - Epoch(val) [36][196/196] original.accuracy/top1: 69.4620 original.accuracy/top5: 89.0380data_time: 0.0275 time: 0.0371 2023/04/02 22:09:04 - mmengine - INFO - Epoch(train) [37][ 100/5005] lr: 7.1289e-05 eta: 7:11:02 time: 0.0761 data_time: 0.0174 memory: 1735 loss: 1.2500 2023/04/02 22:09:12 - mmengine - INFO - Epoch(train) [37][ 200/5005] lr: 7.1289e-05 eta: 7:10:54 time: 0.0897 data_time: 0.0207 memory: 1735 loss: 1.3819 2023/04/02 22:09:20 - mmengine - INFO - Epoch(train) [37][ 300/5005] lr: 7.1289e-05 eta: 7:10:46 time: 0.0788 data_time: 0.0172 memory: 1735 loss: 1.2586 2023/04/02 22:09:28 - mmengine - INFO - Epoch(train) [37][ 400/5005] lr: 7.1289e-05 eta: 7:10:38 time: 0.0900 data_time: 0.0176 memory: 1735 loss: 1.2343 2023/04/02 22:09:36 - mmengine - INFO - Epoch(train) [37][ 500/5005] lr: 7.1289e-05 eta: 7:10:30 time: 0.0889 data_time: 0.0174 memory: 1735 loss: 1.3405 2023/04/02 22:09:44 - mmengine - INFO - Epoch(train) [37][ 600/5005] lr: 7.1289e-05 eta: 7:10:21 time: 0.0777 data_time: 0.0173 memory: 1735 loss: 1.2337 2023/04/02 22:09:52 - mmengine - INFO - Epoch(train) [37][ 700/5005] lr: 7.1289e-05 eta: 7:10:13 time: 0.0888 data_time: 0.0172 memory: 1735 loss: 1.2144 2023/04/02 22:10:00 - mmengine - INFO - Epoch(train) [37][ 800/5005] lr: 7.1289e-05 eta: 7:10:05 time: 0.0783 data_time: 0.0174 memory: 1735 loss: 1.2653 2023/04/02 22:10:02 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:10:08 - mmengine - INFO - Epoch(train) [37][ 900/5005] lr: 7.1289e-05 eta: 7:09:56 time: 0.0764 data_time: 0.0174 memory: 1735 loss: 1.2033 2023/04/02 22:10:17 - mmengine - INFO - Epoch(train) [37][1000/5005] lr: 7.1289e-05 eta: 7:09:48 time: 0.0763 data_time: 0.0173 memory: 1735 loss: 1.1384 2023/04/02 22:10:25 - mmengine - INFO - Epoch(train) [37][1100/5005] lr: 7.1289e-05 eta: 7:09:40 time: 0.0758 data_time: 0.0176 memory: 1735 loss: 1.2692 2023/04/02 22:10:33 - mmengine - INFO - Epoch(train) [37][1200/5005] lr: 7.1289e-05 eta: 7:09:32 time: 0.0785 data_time: 0.0171 memory: 1684 loss: 1.2649 2023/04/02 22:10:41 - mmengine - INFO - Epoch(train) [37][1300/5005] lr: 7.1289e-05 eta: 7:09:24 time: 0.0780 data_time: 0.0185 memory: 1684 loss: 1.1953 2023/04/02 22:10:49 - mmengine - INFO - Epoch(train) [37][1400/5005] lr: 7.1289e-05 eta: 7:09:16 time: 0.0770 data_time: 0.0174 memory: 1684 loss: 1.2159 2023/04/02 22:10:57 - mmengine - INFO - Epoch(train) [37][1500/5005] lr: 7.1289e-05 eta: 7:09:08 time: 0.0869 data_time: 0.0177 memory: 1684 loss: 1.1764 2023/04/02 22:11:05 - mmengine - INFO - Epoch(train) [37][1600/5005] lr: 7.1289e-05 eta: 7:08:59 time: 0.0760 data_time: 0.0175 memory: 1684 loss: 1.3173 2023/04/02 22:11:13 - mmengine - INFO - Epoch(train) [37][1700/5005] lr: 7.1289e-05 eta: 7:08:50 time: 0.0757 data_time: 0.0175 memory: 1684 loss: 1.0877 2023/04/02 22:11:20 - mmengine - INFO - Epoch(train) [37][1800/5005] lr: 7.1289e-05 eta: 7:08:42 time: 0.0775 data_time: 0.0176 memory: 1684 loss: 1.1883 2023/04/02 22:11:22 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:11:28 - mmengine - INFO - Epoch(train) [37][1900/5005] lr: 7.1289e-05 eta: 7:08:34 time: 0.0783 data_time: 0.0177 memory: 1684 loss: 1.2303 2023/04/02 22:11:36 - mmengine - INFO - Epoch(train) [37][2000/5005] lr: 7.1289e-05 eta: 7:08:25 time: 0.0762 data_time: 0.0174 memory: 1684 loss: 1.2539 2023/04/02 22:11:45 - mmengine - INFO - Epoch(train) [37][2100/5005] lr: 7.1289e-05 eta: 7:08:17 time: 0.0772 data_time: 0.0176 memory: 1684 loss: 1.3833 2023/04/02 22:11:53 - mmengine - INFO - Epoch(train) [37][2200/5005] lr: 7.1289e-05 eta: 7:08:09 time: 0.0989 data_time: 0.0293 memory: 1684 loss: 1.0721 2023/04/02 22:12:00 - mmengine - INFO - Epoch(train) [37][2300/5005] lr: 7.1289e-05 eta: 7:08:00 time: 0.0757 data_time: 0.0190 memory: 1684 loss: 1.0865 2023/04/02 22:12:08 - mmengine - INFO - Epoch(train) [37][2400/5005] lr: 7.1289e-05 eta: 7:07:52 time: 0.0818 data_time: 0.0173 memory: 1684 loss: 1.3477 2023/04/02 22:12:16 - mmengine - INFO - Epoch(train) [37][2500/5005] lr: 7.1289e-05 eta: 7:07:44 time: 0.0897 data_time: 0.0182 memory: 1684 loss: 1.1806 2023/04/02 22:12:24 - mmengine - INFO - Epoch(train) [37][2600/5005] lr: 7.1289e-05 eta: 7:07:35 time: 0.0786 data_time: 0.0180 memory: 1684 loss: 1.2134 2023/04/02 22:12:33 - mmengine - INFO - Epoch(train) [37][2700/5005] lr: 7.1289e-05 eta: 7:07:27 time: 0.0773 data_time: 0.0180 memory: 1684 loss: 1.1331 2023/04/02 22:12:41 - mmengine - INFO - Epoch(train) [37][2800/5005] lr: 7.1289e-05 eta: 7:07:19 time: 0.0785 data_time: 0.0172 memory: 1684 loss: 1.3112 2023/04/02 22:12:42 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:12:49 - mmengine - INFO - Epoch(train) [37][2900/5005] lr: 7.1289e-05 eta: 7:07:11 time: 0.0765 data_time: 0.0177 memory: 1684 loss: 1.1719 2023/04/02 22:12:57 - mmengine - INFO - Epoch(train) [37][3000/5005] lr: 7.1289e-05 eta: 7:07:03 time: 0.1056 data_time: 0.0179 memory: 1684 loss: 1.2266 2023/04/02 22:13:05 - mmengine - INFO - Epoch(train) [37][3100/5005] lr: 7.1289e-05 eta: 7:06:54 time: 0.0791 data_time: 0.0181 memory: 1684 loss: 1.3036 2023/04/02 22:13:13 - mmengine - INFO - Epoch(train) [37][3200/5005] lr: 7.1289e-05 eta: 7:06:46 time: 0.0772 data_time: 0.0177 memory: 1684 loss: 1.3168 2023/04/02 22:13:21 - mmengine - INFO - Epoch(train) [37][3300/5005] lr: 7.1289e-05 eta: 7:06:38 time: 0.0870 data_time: 0.0178 memory: 1684 loss: 1.3309 2023/04/02 22:13:29 - mmengine - INFO - Epoch(train) [37][3400/5005] lr: 7.1289e-05 eta: 7:06:30 time: 0.0780 data_time: 0.0176 memory: 1684 loss: 1.2473 2023/04/02 22:13:37 - mmengine - INFO - Epoch(train) [37][3500/5005] lr: 7.1289e-05 eta: 7:06:21 time: 0.0773 data_time: 0.0176 memory: 1684 loss: 1.1528 2023/04/02 22:13:45 - mmengine - INFO - Epoch(train) [37][3600/5005] lr: 7.1289e-05 eta: 7:06:13 time: 0.0772 data_time: 0.0183 memory: 1684 loss: 1.3344 2023/04/02 22:13:53 - mmengine - INFO - Epoch(train) [37][3700/5005] lr: 7.1289e-05 eta: 7:06:05 time: 0.0745 data_time: 0.0176 memory: 1684 loss: 1.3653 2023/04/02 22:14:01 - mmengine - INFO - Epoch(train) [37][3800/5005] lr: 7.1289e-05 eta: 7:05:57 time: 0.0951 data_time: 0.0181 memory: 1684 loss: 1.1774 2023/04/02 22:14:02 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:14:09 - mmengine - INFO - Epoch(train) [37][3900/5005] lr: 7.1289e-05 eta: 7:05:48 time: 0.0788 data_time: 0.0175 memory: 1684 loss: 1.1621 2023/04/02 22:14:17 - mmengine - INFO - Epoch(train) [37][4000/5005] lr: 7.1289e-05 eta: 7:05:40 time: 0.0764 data_time: 0.0178 memory: 1684 loss: 1.2693 2023/04/02 22:14:25 - mmengine - INFO - Epoch(train) [37][4100/5005] lr: 7.1289e-05 eta: 7:05:32 time: 0.0880 data_time: 0.0173 memory: 1684 loss: 1.2986 2023/04/02 22:14:33 - mmengine - INFO - Epoch(train) [37][4200/5005] lr: 7.1289e-05 eta: 7:05:24 time: 0.0797 data_time: 0.0184 memory: 1684 loss: 1.3429 2023/04/02 22:14:42 - mmengine - INFO - Epoch(train) [37][4300/5005] lr: 7.1289e-05 eta: 7:05:17 time: 0.0816 data_time: 0.0178 memory: 1684 loss: 1.2361 2023/04/02 22:14:50 - mmengine - INFO - Epoch(train) [37][4400/5005] lr: 7.1289e-05 eta: 7:05:09 time: 0.0818 data_time: 0.0180 memory: 1684 loss: 1.1797 2023/04/02 22:14:59 - mmengine - INFO - Epoch(train) [37][4500/5005] lr: 7.1289e-05 eta: 7:05:01 time: 0.0780 data_time: 0.0181 memory: 1684 loss: 1.0888 2023/04/02 22:15:07 - mmengine - INFO - Epoch(train) [37][4600/5005] lr: 7.1289e-05 eta: 7:04:53 time: 0.0785 data_time: 0.0174 memory: 1684 loss: 1.1159 2023/04/02 22:15:15 - mmengine - INFO - Epoch(train) [37][4700/5005] lr: 7.1289e-05 eta: 7:04:45 time: 0.0793 data_time: 0.0175 memory: 1684 loss: 1.3178 2023/04/02 22:15:23 - mmengine - INFO - Epoch(train) [37][4800/5005] lr: 7.1289e-05 eta: 7:04:37 time: 0.0988 data_time: 0.0175 memory: 1684 loss: 1.1893 2023/04/02 22:15:24 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:15:31 - mmengine - INFO - Epoch(train) [37][4900/5005] lr: 7.1289e-05 eta: 7:04:28 time: 0.0770 data_time: 0.0181 memory: 1684 loss: 1.3786 2023/04/02 22:15:39 - mmengine - INFO - Epoch(train) [37][5000/5005] lr: 7.1289e-05 eta: 7:04:20 time: 0.0869 data_time: 0.0287 memory: 1684 loss: 1.2711 2023/04/02 22:15:39 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:15:40 - mmengine - INFO - Saving checkpoint at 37 epochs 2023/04/02 22:15:45 - mmengine - INFO - Epoch(val) [37][100/196] eta: 0:00:04 time: 0.0346 data_time: 0.0084 memory: 1684 2023/04/02 22:15:58 - mmengine - INFO - Epoch(val) [37][196/196] qat.accuracy/top1: 69.7640 qat.accuracy/top5: 89.1500data_time: 0.0082 time: 0.0317 2023/04/02 22:16:02 - mmengine - INFO - Epoch(val) [37][100/196] eta: 0:00:03 time: 0.0368 data_time: 0.0089 memory: 513 2023/04/02 22:16:16 - mmengine - INFO - Epoch(val) [37][196/196] qat.accuracy/top1: 69.6760 qat.accuracy/top5: 89.1620data_time: 0.0198 time: 0.0461 2023/04/02 22:16:19 - mmengine - INFO - Epoch(val) [37][100/196] eta: 0:00:02 time: 0.0226 data_time: 0.0115 memory: 470 2023/04/02 22:16:32 - mmengine - INFO - Epoch(val) [37][196/196] original.accuracy/top1: 69.5680 original.accuracy/top5: 89.1280data_time: 0.0325 time: 0.0422 2023/04/02 22:16:41 - mmengine - INFO - Epoch(train) [38][ 100/5005] lr: 6.9857e-05 eta: 7:04:13 time: 0.0797 data_time: 0.0176 memory: 1735 loss: 1.1972 2023/04/02 22:16:49 - mmengine - INFO - Epoch(train) [38][ 200/5005] lr: 6.9857e-05 eta: 7:04:06 time: 0.0814 data_time: 0.0177 memory: 1735 loss: 1.4148 2023/04/02 22:16:58 - mmengine - INFO - Epoch(train) [38][ 300/5005] lr: 6.9857e-05 eta: 7:03:58 time: 0.0787 data_time: 0.0171 memory: 1735 loss: 1.0705 2023/04/02 22:17:06 - mmengine - INFO - Epoch(train) [38][ 400/5005] lr: 6.9857e-05 eta: 7:03:50 time: 0.0774 data_time: 0.0172 memory: 1735 loss: 1.2909 2023/04/02 22:17:14 - mmengine - INFO - Epoch(train) [38][ 500/5005] lr: 6.9857e-05 eta: 7:03:42 time: 0.0765 data_time: 0.0177 memory: 1735 loss: 1.2808 2023/04/02 22:17:22 - mmengine - INFO - Epoch(train) [38][ 600/5005] lr: 6.9857e-05 eta: 7:03:33 time: 0.0771 data_time: 0.0180 memory: 1684 loss: 1.0840 2023/04/02 22:17:30 - mmengine - INFO - Epoch(train) [38][ 700/5005] lr: 6.9857e-05 eta: 7:03:26 time: 0.0775 data_time: 0.0174 memory: 1684 loss: 1.2899 2023/04/02 22:17:38 - mmengine - INFO - Epoch(train) [38][ 800/5005] lr: 6.9857e-05 eta: 7:03:17 time: 0.0895 data_time: 0.0174 memory: 1684 loss: 1.0917 2023/04/02 22:17:39 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:17:46 - mmengine - INFO - Epoch(train) [38][ 900/5005] lr: 6.9857e-05 eta: 7:03:09 time: 0.0782 data_time: 0.0181 memory: 1684 loss: 1.1576 2023/04/02 22:17:54 - mmengine - INFO - Epoch(train) [38][1000/5005] lr: 6.9857e-05 eta: 7:03:01 time: 0.0774 data_time: 0.0173 memory: 1684 loss: 1.2500 2023/04/02 22:18:03 - mmengine - INFO - Epoch(train) [38][1100/5005] lr: 6.9857e-05 eta: 7:02:53 time: 0.0772 data_time: 0.0175 memory: 1684 loss: 1.2850 2023/04/02 22:18:11 - mmengine - INFO - Epoch(train) [38][1200/5005] lr: 6.9857e-05 eta: 7:02:45 time: 0.0771 data_time: 0.0176 memory: 1684 loss: 1.2170 2023/04/02 22:18:19 - mmengine - INFO - Epoch(train) [38][1300/5005] lr: 6.9857e-05 eta: 7:02:38 time: 0.0786 data_time: 0.0177 memory: 1684 loss: 1.2186 2023/04/02 22:18:28 - mmengine - INFO - Epoch(train) [38][1400/5005] lr: 6.9857e-05 eta: 7:02:30 time: 0.0768 data_time: 0.0174 memory: 1684 loss: 1.3236 2023/04/02 22:18:35 - mmengine - INFO - Epoch(train) [38][1500/5005] lr: 6.9857e-05 eta: 7:02:21 time: 0.0768 data_time: 0.0173 memory: 1684 loss: 1.2343 2023/04/02 22:18:44 - mmengine - INFO - Epoch(train) [38][1600/5005] lr: 6.9857e-05 eta: 7:02:14 time: 0.0996 data_time: 0.0291 memory: 1684 loss: 1.3524 2023/04/02 22:18:52 - mmengine - INFO - Epoch(train) [38][1700/5005] lr: 6.9857e-05 eta: 7:02:05 time: 0.0782 data_time: 0.0178 memory: 1684 loss: 1.2006 2023/04/02 22:19:00 - mmengine - INFO - Epoch(train) [38][1800/5005] lr: 6.9857e-05 eta: 7:01:57 time: 0.0762 data_time: 0.0174 memory: 1684 loss: 1.2042 2023/04/02 22:19:01 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:19:08 - mmengine - INFO - Epoch(train) [38][1900/5005] lr: 6.9857e-05 eta: 7:01:49 time: 0.0827 data_time: 0.0177 memory: 1684 loss: 1.2208 2023/04/02 22:19:16 - mmengine - INFO - Epoch(train) [38][2000/5005] lr: 6.9857e-05 eta: 7:01:41 time: 0.0773 data_time: 0.0173 memory: 1684 loss: 1.2385 2023/04/02 22:19:24 - mmengine - INFO - Epoch(train) [38][2100/5005] lr: 6.9857e-05 eta: 7:01:33 time: 0.0789 data_time: 0.0172 memory: 1684 loss: 1.0752 2023/04/02 22:19:32 - mmengine - INFO - Epoch(train) [38][2200/5005] lr: 6.9857e-05 eta: 7:01:24 time: 0.0770 data_time: 0.0195 memory: 1684 loss: 1.4271 2023/04/02 22:19:40 - mmengine - INFO - Epoch(train) [38][2300/5005] lr: 6.9857e-05 eta: 7:01:16 time: 0.0756 data_time: 0.0180 memory: 1684 loss: 1.0597 2023/04/02 22:19:48 - mmengine - INFO - Epoch(train) [38][2400/5005] lr: 6.9857e-05 eta: 7:01:08 time: 0.0959 data_time: 0.0177 memory: 1684 loss: 1.0849 2023/04/02 22:19:56 - mmengine - INFO - Epoch(train) [38][2500/5005] lr: 6.9857e-05 eta: 7:01:00 time: 0.0797 data_time: 0.0172 memory: 1684 loss: 1.1618 2023/04/02 22:20:04 - mmengine - INFO - Epoch(train) [38][2600/5005] lr: 6.9857e-05 eta: 7:00:52 time: 0.0776 data_time: 0.0174 memory: 1684 loss: 1.3148 2023/04/02 22:20:12 - mmengine - INFO - Epoch(train) [38][2700/5005] lr: 6.9857e-05 eta: 7:00:43 time: 0.0784 data_time: 0.0174 memory: 1684 loss: 1.2265 2023/04/02 22:20:21 - mmengine - INFO - Epoch(train) [38][2800/5005] lr: 6.9857e-05 eta: 7:00:35 time: 0.0877 data_time: 0.0173 memory: 1684 loss: 0.9931 2023/04/02 22:20:22 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:20:29 - mmengine - INFO - Epoch(train) [38][2900/5005] lr: 6.9857e-05 eta: 7:00:27 time: 0.0765 data_time: 0.0175 memory: 1684 loss: 1.2279 2023/04/02 22:20:37 - mmengine - INFO - Epoch(train) [38][3000/5005] lr: 6.9857e-05 eta: 7:00:20 time: 0.0789 data_time: 0.0174 memory: 1684 loss: 1.3599 2023/04/02 22:20:45 - mmengine - INFO - Epoch(train) [38][3100/5005] lr: 6.9857e-05 eta: 7:00:11 time: 0.0748 data_time: 0.0176 memory: 1684 loss: 1.2500 2023/04/02 22:20:53 - mmengine - INFO - Epoch(train) [38][3200/5005] lr: 6.9857e-05 eta: 7:00:03 time: 0.0765 data_time: 0.0176 memory: 1684 loss: 1.2854 2023/04/02 22:21:01 - mmengine - INFO - Epoch(train) [38][3300/5005] lr: 6.9857e-05 eta: 6:59:54 time: 0.0757 data_time: 0.0175 memory: 1684 loss: 1.0950 2023/04/02 22:21:09 - mmengine - INFO - Epoch(train) [38][3400/5005] lr: 6.9857e-05 eta: 6:59:46 time: 0.0874 data_time: 0.0175 memory: 1684 loss: 1.2529 2023/04/02 22:21:17 - mmengine - INFO - Epoch(train) [38][3500/5005] lr: 6.9857e-05 eta: 6:59:38 time: 0.0807 data_time: 0.0174 memory: 1684 loss: 1.3275 2023/04/02 22:21:25 - mmengine - INFO - Epoch(train) [38][3600/5005] lr: 6.9857e-05 eta: 6:59:30 time: 0.0790 data_time: 0.0174 memory: 1684 loss: 1.1048 2023/04/02 22:21:33 - mmengine - INFO - Epoch(train) [38][3700/5005] lr: 6.9857e-05 eta: 6:59:21 time: 0.0763 data_time: 0.0173 memory: 1684 loss: 1.5055 2023/04/02 22:21:41 - mmengine - INFO - Epoch(train) [38][3800/5005] lr: 6.9857e-05 eta: 6:59:13 time: 0.0830 data_time: 0.0180 memory: 1684 loss: 1.1352 2023/04/02 22:21:42 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:21:49 - mmengine - INFO - Epoch(train) [38][3900/5005] lr: 6.9857e-05 eta: 6:59:06 time: 0.0895 data_time: 0.0175 memory: 1684 loss: 1.1945 2023/04/02 22:21:58 - mmengine - INFO - Epoch(train) [38][4000/5005] lr: 6.9857e-05 eta: 6:58:58 time: 0.0901 data_time: 0.0171 memory: 1684 loss: 1.2430 2023/04/02 22:22:05 - mmengine - INFO - Epoch(train) [38][4100/5005] lr: 6.9857e-05 eta: 6:58:49 time: 0.0793 data_time: 0.0175 memory: 1684 loss: 1.1482 2023/04/02 22:22:13 - mmengine - INFO - Epoch(train) [38][4200/5005] lr: 6.9857e-05 eta: 6:58:41 time: 0.0766 data_time: 0.0174 memory: 1684 loss: 1.3718 2023/04/02 22:22:22 - mmengine - INFO - Epoch(train) [38][4300/5005] lr: 6.9857e-05 eta: 6:58:33 time: 0.0764 data_time: 0.0176 memory: 1684 loss: 1.0813 2023/04/02 22:22:29 - mmengine - INFO - Epoch(train) [38][4400/5005] lr: 6.9857e-05 eta: 6:58:24 time: 0.0770 data_time: 0.0173 memory: 1684 loss: 1.2627 2023/04/02 22:22:37 - mmengine - INFO - Epoch(train) [38][4500/5005] lr: 6.9857e-05 eta: 6:58:16 time: 0.0753 data_time: 0.0175 memory: 1684 loss: 1.1582 2023/04/02 22:22:46 - mmengine - INFO - Epoch(train) [38][4600/5005] lr: 6.9857e-05 eta: 6:58:08 time: 0.0817 data_time: 0.0173 memory: 1684 loss: 1.3627 2023/04/02 22:22:54 - mmengine - INFO - Epoch(train) [38][4700/5005] lr: 6.9857e-05 eta: 6:58:00 time: 0.0770 data_time: 0.0176 memory: 1684 loss: 1.2681 2023/04/02 22:23:02 - mmengine - INFO - Epoch(train) [38][4800/5005] lr: 6.9857e-05 eta: 6:57:51 time: 0.0796 data_time: 0.0172 memory: 1684 loss: 1.3264 2023/04/02 22:23:03 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:23:10 - mmengine - INFO - Epoch(train) [38][4900/5005] lr: 6.9857e-05 eta: 6:57:44 time: 0.0959 data_time: 0.0182 memory: 1684 loss: 1.1821 2023/04/02 22:23:19 - mmengine - INFO - Epoch(train) [38][5000/5005] lr: 6.9857e-05 eta: 6:57:37 time: 0.0851 data_time: 0.0186 memory: 1684 loss: 1.2400 2023/04/02 22:23:19 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:23:19 - mmengine - INFO - Saving checkpoint at 38 epochs 2023/04/02 22:23:25 - mmengine - INFO - Epoch(val) [38][100/196] eta: 0:00:03 time: 0.0329 data_time: 0.0080 memory: 1684 2023/04/02 22:23:37 - mmengine - INFO - Epoch(val) [38][196/196] qat.accuracy/top1: 69.6080 qat.accuracy/top5: 89.1380data_time: 0.0083 time: 0.0325 2023/04/02 22:23:42 - mmengine - INFO - Epoch(val) [38][100/196] eta: 0:00:03 time: 0.0353 data_time: 0.0078 memory: 513 2023/04/02 22:23:56 - mmengine - INFO - Epoch(val) [38][196/196] qat.accuracy/top1: 69.4800 qat.accuracy/top5: 89.0520data_time: 0.0084 time: 0.0351 2023/04/02 22:23:59 - mmengine - INFO - Epoch(val) [38][100/196] eta: 0:00:02 time: 0.0260 data_time: 0.0152 memory: 470 2023/04/02 22:24:11 - mmengine - INFO - Epoch(val) [38][196/196] original.accuracy/top1: 69.5340 original.accuracy/top5: 89.0940data_time: 0.0335 time: 0.0437 2023/04/02 22:24:20 - mmengine - INFO - Epoch(train) [39][ 100/5005] lr: 6.8406e-05 eta: 6:57:30 time: 0.0761 data_time: 0.0177 memory: 1735 loss: 1.1558 2023/04/02 22:24:29 - mmengine - INFO - Epoch(train) [39][ 200/5005] lr: 6.8406e-05 eta: 6:57:22 time: 0.0769 data_time: 0.0179 memory: 1735 loss: 1.0310 2023/04/02 22:24:37 - mmengine - INFO - Epoch(train) [39][ 300/5005] lr: 6.8406e-05 eta: 6:57:14 time: 0.0773 data_time: 0.0177 memory: 1684 loss: 1.3625 2023/04/02 22:24:45 - mmengine - INFO - Epoch(train) [39][ 400/5005] lr: 6.8406e-05 eta: 6:57:06 time: 0.0761 data_time: 0.0175 memory: 1684 loss: 1.0637 2023/04/02 22:24:54 - mmengine - INFO - Epoch(train) [39][ 500/5005] lr: 6.8406e-05 eta: 6:56:58 time: 0.0773 data_time: 0.0176 memory: 1684 loss: 1.2019 2023/04/02 22:25:02 - mmengine - INFO - Epoch(train) [39][ 600/5005] lr: 6.8406e-05 eta: 6:56:51 time: 0.0764 data_time: 0.0177 memory: 1684 loss: 1.2859 2023/04/02 22:25:10 - mmengine - INFO - Epoch(train) [39][ 700/5005] lr: 6.8406e-05 eta: 6:56:42 time: 0.0752 data_time: 0.0176 memory: 1684 loss: 1.1583 2023/04/02 22:25:18 - mmengine - INFO - Epoch(train) [39][ 800/5005] lr: 6.8406e-05 eta: 6:56:34 time: 0.0885 data_time: 0.0175 memory: 1684 loss: 1.1382 2023/04/02 22:25:19 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:25:26 - mmengine - INFO - Epoch(train) [39][ 900/5005] lr: 6.8406e-05 eta: 6:56:26 time: 0.0799 data_time: 0.0200 memory: 1684 loss: 1.2437 2023/04/02 22:25:34 - mmengine - INFO - Epoch(train) [39][1000/5005] lr: 6.8406e-05 eta: 6:56:17 time: 0.0801 data_time: 0.0180 memory: 1684 loss: 1.0922 2023/04/02 22:25:42 - mmengine - INFO - Epoch(train) [39][1100/5005] lr: 6.8406e-05 eta: 6:56:09 time: 0.0775 data_time: 0.0174 memory: 1684 loss: 1.3635 2023/04/02 22:25:50 - mmengine - INFO - Epoch(train) [39][1200/5005] lr: 6.8406e-05 eta: 6:56:02 time: 0.0764 data_time: 0.0173 memory: 1684 loss: 1.2245 2023/04/02 22:25:58 - mmengine - INFO - Epoch(train) [39][1300/5005] lr: 6.8406e-05 eta: 6:55:53 time: 0.0831 data_time: 0.0172 memory: 1684 loss: 1.3235 2023/04/02 22:26:07 - mmengine - INFO - Epoch(train) [39][1400/5005] lr: 6.8406e-05 eta: 6:55:45 time: 0.0778 data_time: 0.0173 memory: 1684 loss: 1.2737 2023/04/02 22:26:14 - mmengine - INFO - Epoch(train) [39][1500/5005] lr: 6.8406e-05 eta: 6:55:37 time: 0.0845 data_time: 0.0191 memory: 1684 loss: 1.1541 2023/04/02 22:26:22 - mmengine - INFO - Epoch(train) [39][1600/5005] lr: 6.8406e-05 eta: 6:55:28 time: 0.0871 data_time: 0.0251 memory: 1684 loss: 1.1219 2023/04/02 22:26:30 - mmengine - INFO - Epoch(train) [39][1700/5005] lr: 6.8406e-05 eta: 6:55:20 time: 0.0924 data_time: 0.0174 memory: 1684 loss: 1.3160 2023/04/02 22:26:39 - mmengine - INFO - Epoch(train) [39][1800/5005] lr: 6.8406e-05 eta: 6:55:12 time: 0.0765 data_time: 0.0173 memory: 1684 loss: 1.4248 2023/04/02 22:26:39 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:26:46 - mmengine - INFO - Epoch(train) [39][1900/5005] lr: 6.8406e-05 eta: 6:55:03 time: 0.0793 data_time: 0.0182 memory: 1684 loss: 1.1314 2023/04/02 22:26:54 - mmengine - INFO - Epoch(train) [39][2000/5005] lr: 6.8406e-05 eta: 6:54:55 time: 0.0769 data_time: 0.0175 memory: 1684 loss: 1.2950 2023/04/02 22:27:02 - mmengine - INFO - Epoch(train) [39][2100/5005] lr: 6.8406e-05 eta: 6:54:47 time: 0.0873 data_time: 0.0174 memory: 1684 loss: 1.0874 2023/04/02 22:27:10 - mmengine - INFO - Epoch(train) [39][2200/5005] lr: 6.8406e-05 eta: 6:54:39 time: 0.0778 data_time: 0.0174 memory: 1684 loss: 1.2413 2023/04/02 22:27:18 - mmengine - INFO - Epoch(train) [39][2300/5005] lr: 6.8406e-05 eta: 6:54:30 time: 0.0878 data_time: 0.0175 memory: 1684 loss: 1.2575 2023/04/02 22:27:27 - mmengine - INFO - Epoch(train) [39][2400/5005] lr: 6.8406e-05 eta: 6:54:22 time: 0.0769 data_time: 0.0168 memory: 1684 loss: 1.2008 2023/04/02 22:27:35 - mmengine - INFO - Epoch(train) [39][2500/5005] lr: 6.8406e-05 eta: 6:54:14 time: 0.0880 data_time: 0.0174 memory: 1684 loss: 1.0167 2023/04/02 22:27:43 - mmengine - INFO - Epoch(train) [39][2600/5005] lr: 6.8406e-05 eta: 6:54:06 time: 0.0777 data_time: 0.0176 memory: 1684 loss: 1.4159 2023/04/02 22:27:50 - mmengine - INFO - Epoch(train) [39][2700/5005] lr: 6.8406e-05 eta: 6:53:57 time: 0.0748 data_time: 0.0177 memory: 1684 loss: 1.0991 2023/04/02 22:27:58 - mmengine - INFO - Epoch(train) [39][2800/5005] lr: 6.8406e-05 eta: 6:53:49 time: 0.0764 data_time: 0.0173 memory: 1684 loss: 1.1546 2023/04/02 22:27:59 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:28:07 - mmengine - INFO - Epoch(train) [39][2900/5005] lr: 6.8406e-05 eta: 6:53:41 time: 0.0817 data_time: 0.0194 memory: 1684 loss: 1.3189 2023/04/02 22:28:15 - mmengine - INFO - Epoch(train) [39][3000/5005] lr: 6.8406e-05 eta: 6:53:33 time: 0.0773 data_time: 0.0173 memory: 1684 loss: 1.3055 2023/04/02 22:28:22 - mmengine - INFO - Epoch(train) [39][3100/5005] lr: 6.8406e-05 eta: 6:53:24 time: 0.0780 data_time: 0.0174 memory: 1684 loss: 1.2190 2023/04/02 22:28:31 - mmengine - INFO - Epoch(train) [39][3200/5005] lr: 6.8406e-05 eta: 6:53:16 time: 0.0818 data_time: 0.0173 memory: 1684 loss: 1.2337 2023/04/02 22:28:39 - mmengine - INFO - Epoch(train) [39][3300/5005] lr: 6.8406e-05 eta: 6:53:08 time: 0.0774 data_time: 0.0186 memory: 1684 loss: 1.1666 2023/04/02 22:28:47 - mmengine - INFO - Epoch(train) [39][3400/5005] lr: 6.8406e-05 eta: 6:52:59 time: 0.0906 data_time: 0.0171 memory: 1684 loss: 1.3025 2023/04/02 22:28:55 - mmengine - INFO - Epoch(train) [39][3500/5005] lr: 6.8406e-05 eta: 6:52:51 time: 0.0869 data_time: 0.0175 memory: 1684 loss: 1.1145 2023/04/02 22:29:03 - mmengine - INFO - Epoch(train) [39][3600/5005] lr: 6.8406e-05 eta: 6:52:43 time: 0.0798 data_time: 0.0175 memory: 1684 loss: 1.1161 2023/04/02 22:29:11 - mmengine - INFO - Epoch(train) [39][3700/5005] lr: 6.8406e-05 eta: 6:52:35 time: 0.0775 data_time: 0.0174 memory: 1684 loss: 1.1396 2023/04/02 22:29:19 - mmengine - INFO - Epoch(train) [39][3800/5005] lr: 6.8406e-05 eta: 6:52:26 time: 0.0908 data_time: 0.0169 memory: 1684 loss: 1.2433 2023/04/02 22:29:19 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:29:27 - mmengine - INFO - Epoch(train) [39][3900/5005] lr: 6.8406e-05 eta: 6:52:19 time: 0.0792 data_time: 0.0174 memory: 1684 loss: 1.4136 2023/04/02 22:29:35 - mmengine - INFO - Epoch(train) [39][4000/5005] lr: 6.8406e-05 eta: 6:52:11 time: 0.0810 data_time: 0.0190 memory: 1684 loss: 1.1742 2023/04/02 22:29:43 - mmengine - INFO - Epoch(train) [39][4100/5005] lr: 6.8406e-05 eta: 6:52:03 time: 0.0793 data_time: 0.0174 memory: 1684 loss: 1.2271 2023/04/02 22:29:51 - mmengine - INFO - Epoch(train) [39][4200/5005] lr: 6.8406e-05 eta: 6:51:54 time: 0.0776 data_time: 0.0177 memory: 1684 loss: 1.4209 2023/04/02 22:30:00 - mmengine - INFO - Epoch(train) [39][4300/5005] lr: 6.8406e-05 eta: 6:51:46 time: 0.0812 data_time: 0.0177 memory: 1684 loss: 1.2973 2023/04/02 22:30:08 - mmengine - INFO - Epoch(train) [39][4400/5005] lr: 6.8406e-05 eta: 6:51:39 time: 0.0784 data_time: 0.0178 memory: 1684 loss: 1.1238 2023/04/02 22:30:16 - mmengine - INFO - Epoch(train) [39][4500/5005] lr: 6.8406e-05 eta: 6:51:30 time: 0.0783 data_time: 0.0175 memory: 1684 loss: 1.1496 2023/04/02 22:30:24 - mmengine - INFO - Epoch(train) [39][4600/5005] lr: 6.8406e-05 eta: 6:51:22 time: 0.0781 data_time: 0.0173 memory: 1684 loss: 1.3166 2023/04/02 22:30:32 - mmengine - INFO - Epoch(train) [39][4700/5005] lr: 6.8406e-05 eta: 6:51:14 time: 0.0780 data_time: 0.0175 memory: 1684 loss: 1.3718 2023/04/02 22:30:40 - mmengine - INFO - Epoch(train) [39][4800/5005] lr: 6.8406e-05 eta: 6:51:06 time: 0.0781 data_time: 0.0176 memory: 1684 loss: 1.4618 2023/04/02 22:30:41 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:30:48 - mmengine - INFO - Epoch(train) [39][4900/5005] lr: 6.8406e-05 eta: 6:50:57 time: 0.0891 data_time: 0.0189 memory: 1684 loss: 1.2289 2023/04/02 22:30:56 - mmengine - INFO - Epoch(train) [39][5000/5005] lr: 6.8406e-05 eta: 6:50:49 time: 0.0888 data_time: 0.0177 memory: 1684 loss: 1.3280 2023/04/02 22:30:56 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:30:57 - mmengine - INFO - Saving checkpoint at 39 epochs 2023/04/02 22:31:02 - mmengine - INFO - Epoch(val) [39][100/196] eta: 0:00:03 time: 0.0340 data_time: 0.0082 memory: 1684 2023/04/02 22:31:15 - mmengine - INFO - Epoch(val) [39][196/196] qat.accuracy/top1: 69.6380 qat.accuracy/top5: 89.0420data_time: 0.0129 time: 0.0372 2023/04/02 22:31:19 - mmengine - INFO - Epoch(val) [39][100/196] eta: 0:00:03 time: 0.0366 data_time: 0.0083 memory: 513 2023/04/02 22:31:32 - mmengine - INFO - Epoch(val) [39][196/196] qat.accuracy/top1: 69.6140 qat.accuracy/top5: 89.0160data_time: 0.0073 time: 0.0340 2023/04/02 22:31:35 - mmengine - INFO - Epoch(val) [39][100/196] eta: 0:00:02 time: 0.0257 data_time: 0.0150 memory: 470 2023/04/02 22:31:48 - mmengine - INFO - Epoch(val) [39][196/196] original.accuracy/top1: 69.5960 original.accuracy/top5: 89.1000data_time: 0.0315 time: 0.0415 2023/04/02 22:31:57 - mmengine - INFO - Epoch(train) [40][ 100/5005] lr: 6.6937e-05 eta: 6:50:42 time: 0.0932 data_time: 0.0175 memory: 1735 loss: 1.3603 2023/04/02 22:32:05 - mmengine - INFO - Epoch(train) [40][ 200/5005] lr: 6.6937e-05 eta: 6:50:35 time: 0.0826 data_time: 0.0186 memory: 1684 loss: 1.2061 2023/04/02 22:32:14 - mmengine - INFO - Epoch(train) [40][ 300/5005] lr: 6.6937e-05 eta: 6:50:27 time: 0.0807 data_time: 0.0180 memory: 1684 loss: 1.3155 2023/04/02 22:32:22 - mmengine - INFO - Epoch(train) [40][ 400/5005] lr: 6.6937e-05 eta: 6:50:19 time: 0.0788 data_time: 0.0195 memory: 1684 loss: 1.5251 2023/04/02 22:32:30 - mmengine - INFO - Epoch(train) [40][ 500/5005] lr: 6.6937e-05 eta: 6:50:11 time: 0.0804 data_time: 0.0196 memory: 1684 loss: 1.1660 2023/04/02 22:32:38 - mmengine - INFO - Epoch(train) [40][ 600/5005] lr: 6.6937e-05 eta: 6:50:02 time: 0.0751 data_time: 0.0181 memory: 1684 loss: 1.2262 2023/04/02 22:32:47 - mmengine - INFO - Epoch(train) [40][ 700/5005] lr: 6.6937e-05 eta: 6:49:55 time: 0.0764 data_time: 0.0177 memory: 1684 loss: 1.2022 2023/04/02 22:32:55 - mmengine - INFO - Epoch(train) [40][ 800/5005] lr: 6.6937e-05 eta: 6:49:48 time: 0.0792 data_time: 0.0196 memory: 1684 loss: 1.2849 2023/04/02 22:32:56 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:33:03 - mmengine - INFO - Epoch(train) [40][ 900/5005] lr: 6.6937e-05 eta: 6:49:40 time: 0.0792 data_time: 0.0178 memory: 1684 loss: 1.3898 2023/04/02 22:33:11 - mmengine - INFO - Epoch(train) [40][1000/5005] lr: 6.6937e-05 eta: 6:49:32 time: 0.0762 data_time: 0.0180 memory: 1684 loss: 1.1411 2023/04/02 22:33:19 - mmengine - INFO - Epoch(train) [40][1100/5005] lr: 6.6937e-05 eta: 6:49:23 time: 0.0784 data_time: 0.0183 memory: 1684 loss: 1.1991 2023/04/02 22:33:28 - mmengine - INFO - Epoch(train) [40][1200/5005] lr: 6.6937e-05 eta: 6:49:16 time: 0.0789 data_time: 0.0172 memory: 1684 loss: 1.3832 2023/04/02 22:33:36 - mmengine - INFO - Epoch(train) [40][1300/5005] lr: 6.6937e-05 eta: 6:49:08 time: 0.0750 data_time: 0.0179 memory: 1684 loss: 1.4035 2023/04/02 22:33:44 - mmengine - INFO - Epoch(train) [40][1400/5005] lr: 6.6937e-05 eta: 6:49:00 time: 0.0882 data_time: 0.0178 memory: 1684 loss: 1.3296 2023/04/02 22:33:52 - mmengine - INFO - Epoch(train) [40][1500/5005] lr: 6.6937e-05 eta: 6:48:51 time: 0.0768 data_time: 0.0184 memory: 1684 loss: 1.0681 2023/04/02 22:34:00 - mmengine - INFO - Epoch(train) [40][1600/5005] lr: 6.6937e-05 eta: 6:48:43 time: 0.0864 data_time: 0.0177 memory: 1684 loss: 1.3226 2023/04/02 22:34:08 - mmengine - INFO - Epoch(train) [40][1700/5005] lr: 6.6937e-05 eta: 6:48:35 time: 0.0924 data_time: 0.0175 memory: 1684 loss: 1.0532 2023/04/02 22:34:16 - mmengine - INFO - Epoch(train) [40][1800/5005] lr: 6.6937e-05 eta: 6:48:27 time: 0.0773 data_time: 0.0174 memory: 1684 loss: 1.1872 2023/04/02 22:34:17 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:34:25 - mmengine - INFO - Epoch(train) [40][1900/5005] lr: 6.6937e-05 eta: 6:48:19 time: 0.0918 data_time: 0.0191 memory: 1684 loss: 1.0951 2023/04/02 22:34:33 - mmengine - INFO - Epoch(train) [40][2000/5005] lr: 6.6937e-05 eta: 6:48:11 time: 0.0776 data_time: 0.0174 memory: 1684 loss: 1.1495 2023/04/02 22:34:41 - mmengine - INFO - Epoch(train) [40][2100/5005] lr: 6.6937e-05 eta: 6:48:03 time: 0.0875 data_time: 0.0194 memory: 1684 loss: 1.2707 2023/04/02 22:34:49 - mmengine - INFO - Epoch(train) [40][2200/5005] lr: 6.6937e-05 eta: 6:47:55 time: 0.0808 data_time: 0.0203 memory: 1684 loss: 1.2548 2023/04/02 22:34:58 - mmengine - INFO - Epoch(train) [40][2300/5005] lr: 6.6937e-05 eta: 6:47:47 time: 0.0923 data_time: 0.0332 memory: 1684 loss: 1.0784 2023/04/02 22:35:06 - mmengine - INFO - Epoch(train) [40][2400/5005] lr: 6.6937e-05 eta: 6:47:39 time: 0.0877 data_time: 0.0177 memory: 1684 loss: 1.0989 2023/04/02 22:35:14 - mmengine - INFO - Epoch(train) [40][2500/5005] lr: 6.6937e-05 eta: 6:47:31 time: 0.0755 data_time: 0.0177 memory: 1684 loss: 1.2986 2023/04/02 22:35:21 - mmengine - INFO - Epoch(train) [40][2600/5005] lr: 6.6937e-05 eta: 6:47:22 time: 0.0749 data_time: 0.0180 memory: 1684 loss: 1.2463 2023/04/02 22:35:29 - mmengine - INFO - Epoch(train) [40][2700/5005] lr: 6.6937e-05 eta: 6:47:14 time: 0.0792 data_time: 0.0179 memory: 1684 loss: 1.3798 2023/04/02 22:35:37 - mmengine - INFO - Epoch(train) [40][2800/5005] lr: 6.6937e-05 eta: 6:47:06 time: 0.0802 data_time: 0.0183 memory: 1684 loss: 1.3955 2023/04/02 22:35:38 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:35:46 - mmengine - INFO - Epoch(train) [40][2900/5005] lr: 6.6937e-05 eta: 6:46:58 time: 0.0761 data_time: 0.0176 memory: 1684 loss: 1.2115 2023/04/02 22:35:54 - mmengine - INFO - Epoch(train) [40][3000/5005] lr: 6.6937e-05 eta: 6:46:49 time: 0.0789 data_time: 0.0173 memory: 1684 loss: 1.0850 2023/04/02 22:36:01 - mmengine - INFO - Epoch(train) [40][3100/5005] lr: 6.6937e-05 eta: 6:46:41 time: 0.0775 data_time: 0.0178 memory: 1684 loss: 1.1762 2023/04/02 22:36:09 - mmengine - INFO - Epoch(train) [40][3200/5005] lr: 6.6937e-05 eta: 6:46:33 time: 0.0761 data_time: 0.0176 memory: 1684 loss: 1.3466 2023/04/02 22:36:17 - mmengine - INFO - Epoch(train) [40][3300/5005] lr: 6.6937e-05 eta: 6:46:24 time: 0.0762 data_time: 0.0172 memory: 1684 loss: 1.4888 2023/04/02 22:36:25 - mmengine - INFO - Epoch(train) [40][3400/5005] lr: 6.6937e-05 eta: 6:46:16 time: 0.0799 data_time: 0.0174 memory: 1684 loss: 1.3606 2023/04/02 22:36:34 - mmengine - INFO - Epoch(train) [40][3500/5005] lr: 6.6937e-05 eta: 6:46:08 time: 0.0879 data_time: 0.0173 memory: 1684 loss: 1.2640 2023/04/02 22:36:42 - mmengine - INFO - Epoch(train) [40][3600/5005] lr: 6.6937e-05 eta: 6:46:00 time: 0.0911 data_time: 0.0174 memory: 1684 loss: 1.2488 2023/04/02 22:36:50 - mmengine - INFO - Epoch(train) [40][3700/5005] lr: 6.6937e-05 eta: 6:45:51 time: 0.0785 data_time: 0.0176 memory: 1684 loss: 1.1345 2023/04/02 22:36:58 - mmengine - INFO - Epoch(train) [40][3800/5005] lr: 6.6937e-05 eta: 6:45:43 time: 0.0811 data_time: 0.0203 memory: 1684 loss: 1.2979 2023/04/02 22:36:58 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:37:05 - mmengine - INFO - Epoch(train) [40][3900/5005] lr: 6.6937e-05 eta: 6:45:34 time: 0.0770 data_time: 0.0175 memory: 1684 loss: 1.2465 2023/04/02 22:37:13 - mmengine - INFO - Epoch(train) [40][4000/5005] lr: 6.6937e-05 eta: 6:45:26 time: 0.0750 data_time: 0.0174 memory: 1684 loss: 1.1699 2023/04/02 22:37:21 - mmengine - INFO - Epoch(train) [40][4100/5005] lr: 6.6937e-05 eta: 6:45:18 time: 0.0877 data_time: 0.0175 memory: 1684 loss: 1.1211 2023/04/02 22:37:30 - mmengine - INFO - Epoch(train) [40][4200/5005] lr: 6.6937e-05 eta: 6:45:10 time: 0.0810 data_time: 0.0191 memory: 1684 loss: 1.2968 2023/04/02 22:37:38 - mmengine - INFO - Epoch(train) [40][4300/5005] lr: 6.6937e-05 eta: 6:45:02 time: 0.0776 data_time: 0.0175 memory: 1684 loss: 1.2908 2023/04/02 22:37:46 - mmengine - INFO - Epoch(train) [40][4400/5005] lr: 6.6937e-05 eta: 6:44:54 time: 0.0843 data_time: 0.0175 memory: 1684 loss: 1.1455 2023/04/02 22:37:54 - mmengine - INFO - Epoch(train) [40][4500/5005] lr: 6.6937e-05 eta: 6:44:45 time: 0.0795 data_time: 0.0174 memory: 1684 loss: 1.2626 2023/04/02 22:38:02 - mmengine - INFO - Epoch(train) [40][4600/5005] lr: 6.6937e-05 eta: 6:44:37 time: 0.0773 data_time: 0.0176 memory: 1684 loss: 1.2687 2023/04/02 22:38:10 - mmengine - INFO - Epoch(train) [40][4700/5005] lr: 6.6937e-05 eta: 6:44:29 time: 0.0772 data_time: 0.0174 memory: 1684 loss: 1.1701 2023/04/02 22:38:18 - mmengine - INFO - Epoch(train) [40][4800/5005] lr: 6.6937e-05 eta: 6:44:21 time: 0.0802 data_time: 0.0175 memory: 1684 loss: 1.3098 2023/04/02 22:38:18 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:38:26 - mmengine - INFO - Epoch(train) [40][4900/5005] lr: 6.6937e-05 eta: 6:44:13 time: 0.0792 data_time: 0.0173 memory: 1684 loss: 1.0727 2023/04/02 22:38:34 - mmengine - INFO - Epoch(train) [40][5000/5005] lr: 6.6937e-05 eta: 6:44:04 time: 0.0774 data_time: 0.0184 memory: 1684 loss: 1.2894 2023/04/02 22:38:34 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:38:35 - mmengine - INFO - Saving checkpoint at 40 epochs 2023/04/02 22:38:40 - mmengine - INFO - Epoch(val) [40][100/196] eta: 0:00:04 time: 0.0346 data_time: 0.0090 memory: 1684 2023/04/02 22:38:53 - mmengine - INFO - Epoch(val) [40][196/196] qat.accuracy/top1: 69.7060 qat.accuracy/top5: 89.1300data_time: 0.0189 time: 0.0426 2023/04/02 22:38:57 - mmengine - INFO - Epoch(val) [40][100/196] eta: 0:00:03 time: 0.0360 data_time: 0.0082 memory: 513 2023/04/02 22:39:12 - mmengine - INFO - Epoch(val) [40][196/196] qat.accuracy/top1: 69.7100 qat.accuracy/top5: 89.0480data_time: 0.0070 time: 0.0339 2023/04/02 22:39:15 - mmengine - INFO - Epoch(val) [40][100/196] eta: 0:00:02 time: 0.0254 data_time: 0.0142 memory: 470 2023/04/02 22:39:28 - mmengine - INFO - Epoch(val) [40][196/196] original.accuracy/top1: 69.6060 original.accuracy/top5: 89.1760data_time: 0.0260 time: 0.0359 2023/04/02 22:39:38 - mmengine - INFO - Epoch(train) [41][ 100/5005] lr: 6.5451e-05 eta: 6:43:59 time: 0.0803 data_time: 0.0176 memory: 1735 loss: 1.0358 2023/04/02 22:39:46 - mmengine - INFO - Epoch(train) [41][ 200/5005] lr: 6.5451e-05 eta: 6:43:51 time: 0.0849 data_time: 0.0193 memory: 1735 loss: 1.3751 2023/04/02 22:39:54 - mmengine - INFO - Epoch(train) [41][ 300/5005] lr: 6.5451e-05 eta: 6:43:43 time: 0.0832 data_time: 0.0173 memory: 1735 loss: 1.2371 2023/04/02 22:40:03 - mmengine - INFO - Epoch(train) [41][ 400/5005] lr: 6.5451e-05 eta: 6:43:35 time: 0.0771 data_time: 0.0199 memory: 1735 loss: 1.0775 2023/04/02 22:40:11 - mmengine - INFO - Epoch(train) [41][ 500/5005] lr: 6.5451e-05 eta: 6:43:27 time: 0.0789 data_time: 0.0196 memory: 1735 loss: 1.3914 2023/04/02 22:40:19 - mmengine - INFO - Epoch(train) [41][ 600/5005] lr: 6.5451e-05 eta: 6:43:19 time: 0.0784 data_time: 0.0185 memory: 1684 loss: 1.1901 2023/04/02 22:40:28 - mmengine - INFO - Epoch(train) [41][ 700/5005] lr: 6.5451e-05 eta: 6:43:12 time: 0.0915 data_time: 0.0184 memory: 1684 loss: 1.2133 2023/04/02 22:40:35 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:40:35 - mmengine - INFO - Epoch(train) [41][ 800/5005] lr: 6.5451e-05 eta: 6:43:03 time: 0.0787 data_time: 0.0186 memory: 1684 loss: 1.2338 2023/04/02 22:40:44 - mmengine - INFO - Epoch(train) [41][ 900/5005] lr: 6.5451e-05 eta: 6:42:55 time: 0.0799 data_time: 0.0186 memory: 1684 loss: 1.1952 2023/04/02 22:40:52 - mmengine - INFO - Epoch(train) [41][1000/5005] lr: 6.5451e-05 eta: 6:42:47 time: 0.0795 data_time: 0.0203 memory: 1684 loss: 1.4483 2023/04/02 22:41:00 - mmengine - INFO - Epoch(train) [41][1100/5005] lr: 6.5451e-05 eta: 6:42:39 time: 0.0777 data_time: 0.0187 memory: 1684 loss: 1.1248 2023/04/02 22:41:08 - mmengine - INFO - Epoch(train) [41][1200/5005] lr: 6.5451e-05 eta: 6:42:31 time: 0.0808 data_time: 0.0177 memory: 1684 loss: 1.1785 2023/04/02 22:41:16 - mmengine - INFO - Epoch(train) [41][1300/5005] lr: 6.5451e-05 eta: 6:42:23 time: 0.0769 data_time: 0.0183 memory: 1684 loss: 1.1237 2023/04/02 22:41:24 - mmengine - INFO - Epoch(train) [41][1400/5005] lr: 6.5451e-05 eta: 6:42:15 time: 0.0885 data_time: 0.0184 memory: 1684 loss: 1.2159 2023/04/02 22:41:32 - mmengine - INFO - Epoch(train) [41][1500/5005] lr: 6.5451e-05 eta: 6:42:07 time: 0.0867 data_time: 0.0185 memory: 1684 loss: 1.3198 2023/04/02 22:41:40 - mmengine - INFO - Epoch(train) [41][1600/5005] lr: 6.5451e-05 eta: 6:41:58 time: 0.0775 data_time: 0.0189 memory: 1684 loss: 1.2786 2023/04/02 22:41:48 - mmengine - INFO - Epoch(train) [41][1700/5005] lr: 6.5451e-05 eta: 6:41:50 time: 0.0787 data_time: 0.0193 memory: 1684 loss: 1.1228 2023/04/02 22:41:56 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:41:56 - mmengine - INFO - Epoch(train) [41][1800/5005] lr: 6.5451e-05 eta: 6:41:42 time: 0.0788 data_time: 0.0197 memory: 1684 loss: 1.2059 2023/04/02 22:42:05 - mmengine - INFO - Epoch(train) [41][1900/5005] lr: 6.5451e-05 eta: 6:41:34 time: 0.0874 data_time: 0.0287 memory: 1684 loss: 1.2726 2023/04/02 22:42:13 - mmengine - INFO - Epoch(train) [41][2000/5005] lr: 6.5451e-05 eta: 6:41:27 time: 0.0852 data_time: 0.0189 memory: 1684 loss: 1.3640 2023/04/02 22:42:22 - mmengine - INFO - Epoch(train) [41][2100/5005] lr: 6.5451e-05 eta: 6:41:19 time: 0.0823 data_time: 0.0183 memory: 1684 loss: 1.0927 2023/04/02 22:42:30 - mmengine - INFO - Epoch(train) [41][2200/5005] lr: 6.5451e-05 eta: 6:41:11 time: 0.0895 data_time: 0.0312 memory: 1684 loss: 1.0959 2023/04/02 22:42:38 - mmengine - INFO - Epoch(train) [41][2300/5005] lr: 6.5451e-05 eta: 6:41:03 time: 0.0755 data_time: 0.0185 memory: 1684 loss: 1.2760 2023/04/02 22:42:46 - mmengine - INFO - Epoch(train) [41][2400/5005] lr: 6.5451e-05 eta: 6:40:54 time: 0.0778 data_time: 0.0184 memory: 1684 loss: 1.2509 2023/04/02 22:42:54 - mmengine - INFO - Epoch(train) [41][2500/5005] lr: 6.5451e-05 eta: 6:40:46 time: 0.0771 data_time: 0.0183 memory: 1684 loss: 1.2392 2023/04/02 22:43:02 - mmengine - INFO - Epoch(train) [41][2600/5005] lr: 6.5451e-05 eta: 6:40:38 time: 0.0867 data_time: 0.0189 memory: 1684 loss: 1.2989 2023/04/02 22:43:10 - mmengine - INFO - Epoch(train) [41][2700/5005] lr: 6.5451e-05 eta: 6:40:30 time: 0.0795 data_time: 0.0186 memory: 1684 loss: 1.1005 2023/04/02 22:43:18 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:43:18 - mmengine - INFO - Epoch(train) [41][2800/5005] lr: 6.5451e-05 eta: 6:40:22 time: 0.0773 data_time: 0.0187 memory: 1684 loss: 1.1965 2023/04/02 22:43:26 - mmengine - INFO - Epoch(train) [41][2900/5005] lr: 6.5451e-05 eta: 6:40:13 time: 0.0775 data_time: 0.0178 memory: 1684 loss: 1.3076 2023/04/02 22:43:34 - mmengine - INFO - Epoch(train) [41][3000/5005] lr: 6.5451e-05 eta: 6:40:05 time: 0.0767 data_time: 0.0179 memory: 1684 loss: 1.2638 2023/04/02 22:43:42 - mmengine - INFO - Epoch(train) [41][3100/5005] lr: 6.5451e-05 eta: 6:39:56 time: 0.0781 data_time: 0.0177 memory: 1684 loss: 1.1914 2023/04/02 22:43:50 - mmengine - INFO - Epoch(train) [41][3200/5005] lr: 6.5451e-05 eta: 6:39:49 time: 0.0776 data_time: 0.0182 memory: 1684 loss: 1.4089 2023/04/02 22:43:58 - mmengine - INFO - Epoch(train) [41][3300/5005] lr: 6.5451e-05 eta: 6:39:40 time: 0.0767 data_time: 0.0180 memory: 1684 loss: 1.1972 2023/04/02 22:44:06 - mmengine - INFO - Epoch(train) [41][3400/5005] lr: 6.5451e-05 eta: 6:39:32 time: 0.0765 data_time: 0.0180 memory: 1684 loss: 1.0516 2023/04/02 22:44:14 - mmengine - INFO - Epoch(train) [41][3500/5005] lr: 6.5451e-05 eta: 6:39:23 time: 0.0785 data_time: 0.0184 memory: 1684 loss: 1.4125 2023/04/02 22:44:22 - mmengine - INFO - Epoch(train) [41][3600/5005] lr: 6.5451e-05 eta: 6:39:15 time: 0.0806 data_time: 0.0194 memory: 1684 loss: 1.1164 2023/04/02 22:44:30 - mmengine - INFO - Epoch(train) [41][3700/5005] lr: 6.5451e-05 eta: 6:39:07 time: 0.0873 data_time: 0.0173 memory: 1684 loss: 1.3393 2023/04/02 22:44:39 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:44:39 - mmengine - INFO - Epoch(train) [41][3800/5005] lr: 6.5451e-05 eta: 6:39:00 time: 0.0790 data_time: 0.0181 memory: 1684 loss: 1.0752 2023/04/02 22:44:47 - mmengine - INFO - Epoch(train) [41][3900/5005] lr: 6.5451e-05 eta: 6:38:52 time: 0.0836 data_time: 0.0180 memory: 1684 loss: 1.2274 2023/04/02 22:44:55 - mmengine - INFO - Epoch(train) [41][4000/5005] lr: 6.5451e-05 eta: 6:38:44 time: 0.0904 data_time: 0.0310 memory: 1684 loss: 1.2120 2023/04/02 22:45:04 - mmengine - INFO - Epoch(train) [41][4100/5005] lr: 6.5451e-05 eta: 6:38:36 time: 0.0857 data_time: 0.0177 memory: 1684 loss: 1.2184 2023/04/02 22:45:12 - mmengine - INFO - Epoch(train) [41][4200/5005] lr: 6.5451e-05 eta: 6:38:28 time: 0.0799 data_time: 0.0184 memory: 1684 loss: 1.2066 2023/04/02 22:45:20 - mmengine - INFO - Epoch(train) [41][4300/5005] lr: 6.5451e-05 eta: 6:38:21 time: 0.0790 data_time: 0.0179 memory: 1684 loss: 1.0660 2023/04/02 22:45:29 - mmengine - INFO - Epoch(train) [41][4400/5005] lr: 6.5451e-05 eta: 6:38:13 time: 0.0767 data_time: 0.0180 memory: 1684 loss: 1.2897 2023/04/02 22:45:36 - mmengine - INFO - Epoch(train) [41][4500/5005] lr: 6.5451e-05 eta: 6:38:04 time: 0.0851 data_time: 0.0187 memory: 1684 loss: 1.3717 2023/04/02 22:45:44 - mmengine - INFO - Epoch(train) [41][4600/5005] lr: 6.5451e-05 eta: 6:37:56 time: 0.0792 data_time: 0.0190 memory: 1684 loss: 1.3009 2023/04/02 22:45:52 - mmengine - INFO - Epoch(train) [41][4700/5005] lr: 6.5451e-05 eta: 6:37:48 time: 0.0778 data_time: 0.0184 memory: 1684 loss: 1.1796 2023/04/02 22:46:00 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:46:00 - mmengine - INFO - Epoch(train) [41][4800/5005] lr: 6.5451e-05 eta: 6:37:39 time: 0.0802 data_time: 0.0200 memory: 1684 loss: 1.1179 2023/04/02 22:46:08 - mmengine - INFO - Epoch(train) [41][4900/5005] lr: 6.5451e-05 eta: 6:37:31 time: 0.0768 data_time: 0.0183 memory: 1684 loss: 1.2785 2023/04/02 22:46:17 - mmengine - INFO - Epoch(train) [41][5000/5005] lr: 6.5451e-05 eta: 6:37:23 time: 0.0781 data_time: 0.0183 memory: 1684 loss: 1.2013 2023/04/02 22:46:17 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:46:17 - mmengine - INFO - Saving checkpoint at 41 epochs 2023/04/02 22:46:23 - mmengine - INFO - Epoch(val) [41][100/196] eta: 0:00:03 time: 0.0345 data_time: 0.0083 memory: 1684 2023/04/02 22:46:36 - mmengine - INFO - Epoch(val) [41][196/196] qat.accuracy/top1: 69.7560 qat.accuracy/top5: 89.1380data_time: 0.0085 time: 0.0324 2023/04/02 22:46:40 - mmengine - INFO - Epoch(val) [41][100/196] eta: 0:00:03 time: 0.0357 data_time: 0.0078 memory: 513 2023/04/02 22:46:53 - mmengine - INFO - Epoch(val) [41][196/196] qat.accuracy/top1: 69.7280 qat.accuracy/top5: 89.1020data_time: 0.0078 time: 0.0347 2023/04/02 22:46:56 - mmengine - INFO - Epoch(val) [41][100/196] eta: 0:00:02 time: 0.0255 data_time: 0.0152 memory: 470 2023/04/02 22:47:09 - mmengine - INFO - Epoch(val) [41][196/196] original.accuracy/top1: 69.6960 original.accuracy/top5: 89.1540data_time: 0.0267 time: 0.0364 2023/04/02 22:47:18 - mmengine - INFO - Epoch(train) [42][ 100/5005] lr: 6.3950e-05 eta: 6:37:16 time: 0.0932 data_time: 0.0176 memory: 1735 loss: 1.3104 2023/04/02 22:47:26 - mmengine - INFO - Epoch(train) [42][ 200/5005] lr: 6.3950e-05 eta: 6:37:08 time: 0.0765 data_time: 0.0171 memory: 1735 loss: 1.0800 2023/04/02 22:47:34 - mmengine - INFO - Epoch(train) [42][ 300/5005] lr: 6.3950e-05 eta: 6:37:00 time: 0.0756 data_time: 0.0173 memory: 1735 loss: 1.0652 2023/04/02 22:47:43 - mmengine - INFO - Epoch(train) [42][ 400/5005] lr: 6.3950e-05 eta: 6:36:52 time: 0.0813 data_time: 0.0188 memory: 1735 loss: 1.0977 2023/04/02 22:47:51 - mmengine - INFO - Epoch(train) [42][ 500/5005] lr: 6.3950e-05 eta: 6:36:45 time: 0.0776 data_time: 0.0177 memory: 1735 loss: 1.2572 2023/04/02 22:48:00 - mmengine - INFO - Epoch(train) [42][ 600/5005] lr: 6.3950e-05 eta: 6:36:37 time: 0.0786 data_time: 0.0180 memory: 1735 loss: 1.1902 2023/04/02 22:48:08 - mmengine - INFO - Epoch(train) [42][ 700/5005] lr: 6.3950e-05 eta: 6:36:29 time: 0.0809 data_time: 0.0179 memory: 1735 loss: 1.1069 2023/04/02 22:48:15 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:48:16 - mmengine - INFO - Epoch(train) [42][ 800/5005] lr: 6.3950e-05 eta: 6:36:20 time: 0.0767 data_time: 0.0175 memory: 1735 loss: 1.2385 2023/04/02 22:48:24 - mmengine - INFO - Epoch(train) [42][ 900/5005] lr: 6.3950e-05 eta: 6:36:12 time: 0.0855 data_time: 0.0173 memory: 1735 loss: 1.2235 2023/04/02 22:48:32 - mmengine - INFO - Epoch(train) [42][1000/5005] lr: 6.3950e-05 eta: 6:36:04 time: 0.0840 data_time: 0.0198 memory: 1684 loss: 1.4039 2023/04/02 22:48:40 - mmengine - INFO - Epoch(train) [42][1100/5005] lr: 6.3950e-05 eta: 6:35:56 time: 0.0763 data_time: 0.0184 memory: 1684 loss: 1.1925 2023/04/02 22:48:48 - mmengine - INFO - Epoch(train) [42][1200/5005] lr: 6.3950e-05 eta: 6:35:48 time: 0.0763 data_time: 0.0183 memory: 1684 loss: 1.2535 2023/04/02 22:48:56 - mmengine - INFO - Epoch(train) [42][1300/5005] lr: 6.3950e-05 eta: 6:35:39 time: 0.0766 data_time: 0.0185 memory: 1684 loss: 1.2218 2023/04/02 22:49:04 - mmengine - INFO - Epoch(train) [42][1400/5005] lr: 6.3950e-05 eta: 6:35:31 time: 0.0762 data_time: 0.0182 memory: 1684 loss: 1.2565 2023/04/02 22:49:12 - mmengine - INFO - Epoch(train) [42][1500/5005] lr: 6.3950e-05 eta: 6:35:23 time: 0.0756 data_time: 0.0181 memory: 1684 loss: 1.2550 2023/04/02 22:49:20 - mmengine - INFO - Epoch(train) [42][1600/5005] lr: 6.3950e-05 eta: 6:35:14 time: 0.0757 data_time: 0.0182 memory: 1684 loss: 1.4079 2023/04/02 22:49:28 - mmengine - INFO - Epoch(train) [42][1700/5005] lr: 6.3950e-05 eta: 6:35:06 time: 0.0876 data_time: 0.0176 memory: 1684 loss: 1.2871 2023/04/02 22:49:35 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:49:36 - mmengine - INFO - Epoch(train) [42][1800/5005] lr: 6.3950e-05 eta: 6:34:57 time: 0.0769 data_time: 0.0178 memory: 1684 loss: 1.3404 2023/04/02 22:49:43 - mmengine - INFO - Epoch(train) [42][1900/5005] lr: 6.3950e-05 eta: 6:34:49 time: 0.0762 data_time: 0.0183 memory: 1684 loss: 1.2050 2023/04/02 22:49:51 - mmengine - INFO - Epoch(train) [42][2000/5005] lr: 6.3950e-05 eta: 6:34:40 time: 0.0814 data_time: 0.0195 memory: 1684 loss: 1.1475 2023/04/02 22:50:00 - mmengine - INFO - Epoch(train) [42][2100/5005] lr: 6.3950e-05 eta: 6:34:32 time: 0.0798 data_time: 0.0181 memory: 1684 loss: 1.2158 2023/04/02 22:50:08 - mmengine - INFO - Epoch(train) [42][2200/5005] lr: 6.3950e-05 eta: 6:34:24 time: 0.0820 data_time: 0.0183 memory: 1684 loss: 1.2729 2023/04/02 22:50:16 - mmengine - INFO - Epoch(train) [42][2300/5005] lr: 6.3950e-05 eta: 6:34:16 time: 0.0784 data_time: 0.0182 memory: 1684 loss: 1.1244 2023/04/02 22:50:24 - mmengine - INFO - Epoch(train) [42][2400/5005] lr: 6.3950e-05 eta: 6:34:08 time: 0.0774 data_time: 0.0182 memory: 1684 loss: 1.1506 2023/04/02 22:50:32 - mmengine - INFO - Epoch(train) [42][2500/5005] lr: 6.3950e-05 eta: 6:33:59 time: 0.0794 data_time: 0.0181 memory: 1684 loss: 1.2064 2023/04/02 22:50:40 - mmengine - INFO - Epoch(train) [42][2600/5005] lr: 6.3950e-05 eta: 6:33:52 time: 0.0837 data_time: 0.0183 memory: 1684 loss: 1.2080 2023/04/02 22:50:48 - mmengine - INFO - Epoch(train) [42][2700/5005] lr: 6.3950e-05 eta: 6:33:43 time: 0.0749 data_time: 0.0183 memory: 1684 loss: 1.2515 2023/04/02 22:50:56 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:50:56 - mmengine - INFO - Epoch(train) [42][2800/5005] lr: 6.3950e-05 eta: 6:33:36 time: 0.0796 data_time: 0.0194 memory: 1684 loss: 1.3021 2023/04/02 22:51:04 - mmengine - INFO - Epoch(train) [42][2900/5005] lr: 6.3950e-05 eta: 6:33:27 time: 0.0787 data_time: 0.0183 memory: 1684 loss: 1.2521 2023/04/02 22:51:12 - mmengine - INFO - Epoch(train) [42][3000/5005] lr: 6.3950e-05 eta: 6:33:19 time: 0.0777 data_time: 0.0191 memory: 1684 loss: 1.2438 2023/04/02 22:51:20 - mmengine - INFO - Epoch(train) [42][3100/5005] lr: 6.3950e-05 eta: 6:33:11 time: 0.0785 data_time: 0.0180 memory: 1684 loss: 1.2281 2023/04/02 22:51:28 - mmengine - INFO - Epoch(train) [42][3200/5005] lr: 6.3950e-05 eta: 6:33:02 time: 0.0768 data_time: 0.0185 memory: 1684 loss: 1.0679 2023/04/02 22:51:36 - mmengine - INFO - Epoch(train) [42][3300/5005] lr: 6.3950e-05 eta: 6:32:54 time: 0.0764 data_time: 0.0162 memory: 1684 loss: 1.3740 2023/04/02 22:51:45 - mmengine - INFO - Epoch(train) [42][3400/5005] lr: 6.3950e-05 eta: 6:32:46 time: 0.0786 data_time: 0.0195 memory: 1684 loss: 1.3019 2023/04/02 22:51:53 - mmengine - INFO - Epoch(train) [42][3500/5005] lr: 6.3950e-05 eta: 6:32:39 time: 0.0847 data_time: 0.0203 memory: 1684 loss: 1.2318 2023/04/02 22:52:01 - mmengine - INFO - Epoch(train) [42][3600/5005] lr: 6.3950e-05 eta: 6:32:30 time: 0.0783 data_time: 0.0193 memory: 1684 loss: 1.2577 2023/04/02 22:52:09 - mmengine - INFO - Epoch(train) [42][3700/5005] lr: 6.3950e-05 eta: 6:32:22 time: 0.0972 data_time: 0.0377 memory: 1684 loss: 1.1375 2023/04/02 22:52:17 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:52:18 - mmengine - INFO - Epoch(train) [42][3800/5005] lr: 6.3950e-05 eta: 6:32:15 time: 0.0810 data_time: 0.0185 memory: 1684 loss: 1.1725 2023/04/02 22:52:26 - mmengine - INFO - Epoch(train) [42][3900/5005] lr: 6.3950e-05 eta: 6:32:07 time: 0.0918 data_time: 0.0299 memory: 1684 loss: 1.4181 2023/04/02 22:52:34 - mmengine - INFO - Epoch(train) [42][4000/5005] lr: 6.3950e-05 eta: 6:31:59 time: 0.0877 data_time: 0.0182 memory: 1684 loss: 1.4113 2023/04/02 22:52:42 - mmengine - INFO - Epoch(train) [42][4100/5005] lr: 6.3950e-05 eta: 6:31:51 time: 0.0755 data_time: 0.0185 memory: 1684 loss: 1.3671 2023/04/02 22:52:50 - mmengine - INFO - Epoch(train) [42][4200/5005] lr: 6.3950e-05 eta: 6:31:42 time: 0.0761 data_time: 0.0180 memory: 1684 loss: 1.2695 2023/04/02 22:52:58 - mmengine - INFO - Epoch(train) [42][4300/5005] lr: 6.3950e-05 eta: 6:31:34 time: 0.0791 data_time: 0.0181 memory: 1684 loss: 1.1295 2023/04/02 22:53:06 - mmengine - INFO - Epoch(train) [42][4400/5005] lr: 6.3950e-05 eta: 6:31:25 time: 0.0754 data_time: 0.0180 memory: 1684 loss: 1.3644 2023/04/02 22:53:14 - mmengine - INFO - Epoch(train) [42][4500/5005] lr: 6.3950e-05 eta: 6:31:17 time: 0.0788 data_time: 0.0185 memory: 1684 loss: 1.3818 2023/04/02 22:53:22 - mmengine - INFO - Epoch(train) [42][4600/5005] lr: 6.3950e-05 eta: 6:31:09 time: 0.0805 data_time: 0.0175 memory: 1684 loss: 1.0850 2023/04/02 22:53:30 - mmengine - INFO - Epoch(train) [42][4700/5005] lr: 6.3950e-05 eta: 6:31:01 time: 0.0783 data_time: 0.0178 memory: 1684 loss: 1.2661 2023/04/02 22:53:38 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:53:38 - mmengine - INFO - Epoch(train) [42][4800/5005] lr: 6.3950e-05 eta: 6:30:53 time: 0.1011 data_time: 0.0307 memory: 1684 loss: 1.1601 2023/04/02 22:53:46 - mmengine - INFO - Epoch(train) [42][4900/5005] lr: 6.3950e-05 eta: 6:30:44 time: 0.0739 data_time: 0.0184 memory: 1684 loss: 1.1341 2023/04/02 22:53:54 - mmengine - INFO - Epoch(train) [42][5000/5005] lr: 6.3950e-05 eta: 6:30:36 time: 0.0952 data_time: 0.0184 memory: 1684 loss: 1.2202 2023/04/02 22:53:54 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:53:55 - mmengine - INFO - Saving checkpoint at 42 epochs 2023/04/02 22:54:00 - mmengine - INFO - Epoch(val) [42][100/196] eta: 0:00:03 time: 0.0335 data_time: 0.0081 memory: 1684 2023/04/02 22:54:13 - mmengine - INFO - Epoch(val) [42][196/196] qat.accuracy/top1: 69.6640 qat.accuracy/top5: 89.1560data_time: 0.0124 time: 0.0358 2023/04/02 22:54:18 - mmengine - INFO - Epoch(val) [42][100/196] eta: 0:00:03 time: 0.0361 data_time: 0.0084 memory: 513 2023/04/02 22:54:30 - mmengine - INFO - Epoch(val) [42][196/196] qat.accuracy/top1: 69.6900 qat.accuracy/top5: 89.1640data_time: 0.0075 time: 0.0336 2023/04/02 22:54:34 - mmengine - INFO - Epoch(val) [42][100/196] eta: 0:00:02 time: 0.0240 data_time: 0.0132 memory: 470 2023/04/02 22:54:47 - mmengine - INFO - Epoch(val) [42][196/196] original.accuracy/top1: 69.6860 original.accuracy/top5: 89.1320data_time: 0.0283 time: 0.0385 2023/04/02 22:54:56 - mmengine - INFO - Epoch(train) [43][ 100/5005] lr: 6.2434e-05 eta: 6:30:30 time: 0.0822 data_time: 0.0186 memory: 1735 loss: 1.2104 2023/04/02 22:55:05 - mmengine - INFO - Epoch(train) [43][ 200/5005] lr: 6.2434e-05 eta: 6:30:22 time: 0.0954 data_time: 0.0195 memory: 1735 loss: 1.1694 2023/04/02 22:55:13 - mmengine - INFO - Epoch(train) [43][ 300/5005] lr: 6.2434e-05 eta: 6:30:14 time: 0.0799 data_time: 0.0182 memory: 1735 loss: 1.4878 2023/04/02 22:55:21 - mmengine - INFO - Epoch(train) [43][ 400/5005] lr: 6.2434e-05 eta: 6:30:06 time: 0.1034 data_time: 0.0452 memory: 1735 loss: 1.1619 2023/04/02 22:55:29 - mmengine - INFO - Epoch(train) [43][ 500/5005] lr: 6.2434e-05 eta: 6:29:58 time: 0.0753 data_time: 0.0178 memory: 1735 loss: 1.1202 2023/04/02 22:55:37 - mmengine - INFO - Epoch(train) [43][ 600/5005] lr: 6.2434e-05 eta: 6:29:50 time: 0.0949 data_time: 0.0185 memory: 1735 loss: 1.1607 2023/04/02 22:55:46 - mmengine - INFO - Epoch(train) [43][ 700/5005] lr: 6.2434e-05 eta: 6:29:42 time: 0.0781 data_time: 0.0183 memory: 1735 loss: 1.2563 2023/04/02 22:55:53 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:55:53 - mmengine - INFO - Epoch(train) [43][ 800/5005] lr: 6.2434e-05 eta: 6:29:33 time: 0.0766 data_time: 0.0183 memory: 1735 loss: 1.2266 2023/04/02 22:56:02 - mmengine - INFO - Epoch(train) [43][ 900/5005] lr: 6.2434e-05 eta: 6:29:25 time: 0.0820 data_time: 0.0182 memory: 1735 loss: 1.3930 2023/04/02 22:56:10 - mmengine - INFO - Epoch(train) [43][1000/5005] lr: 6.2434e-05 eta: 6:29:18 time: 0.0780 data_time: 0.0182 memory: 1735 loss: 1.0147 2023/04/02 22:56:18 - mmengine - INFO - Epoch(train) [43][1100/5005] lr: 6.2434e-05 eta: 6:29:10 time: 0.0781 data_time: 0.0183 memory: 1684 loss: 1.2028 2023/04/02 22:56:27 - mmengine - INFO - Epoch(train) [43][1200/5005] lr: 6.2434e-05 eta: 6:29:03 time: 0.0805 data_time: 0.0177 memory: 1684 loss: 1.1274 2023/04/02 22:56:35 - mmengine - INFO - Epoch(train) [43][1300/5005] lr: 6.2434e-05 eta: 6:28:54 time: 0.0790 data_time: 0.0180 memory: 1684 loss: 1.2839 2023/04/02 22:56:43 - mmengine - INFO - Epoch(train) [43][1400/5005] lr: 6.2434e-05 eta: 6:28:46 time: 0.0897 data_time: 0.0179 memory: 1684 loss: 1.3846 2023/04/02 22:56:51 - mmengine - INFO - Epoch(train) [43][1500/5005] lr: 6.2434e-05 eta: 6:28:38 time: 0.0773 data_time: 0.0180 memory: 1684 loss: 1.2175 2023/04/02 22:56:59 - mmengine - INFO - Epoch(train) [43][1600/5005] lr: 6.2434e-05 eta: 6:28:29 time: 0.0768 data_time: 0.0182 memory: 1684 loss: 1.0539 2023/04/02 22:57:08 - mmengine - INFO - Epoch(train) [43][1700/5005] lr: 6.2434e-05 eta: 6:28:22 time: 0.0790 data_time: 0.0176 memory: 1684 loss: 1.1267 2023/04/02 22:57:15 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:57:16 - mmengine - INFO - Epoch(train) [43][1800/5005] lr: 6.2434e-05 eta: 6:28:14 time: 0.0849 data_time: 0.0203 memory: 1684 loss: 1.0277 2023/04/02 22:57:24 - mmengine - INFO - Epoch(train) [43][1900/5005] lr: 6.2434e-05 eta: 6:28:06 time: 0.0762 data_time: 0.0181 memory: 1684 loss: 1.2221 2023/04/02 22:57:32 - mmengine - INFO - Epoch(train) [43][2000/5005] lr: 6.2434e-05 eta: 6:27:57 time: 0.0775 data_time: 0.0185 memory: 1684 loss: 1.1136 2023/04/02 22:57:40 - mmengine - INFO - Epoch(train) [43][2100/5005] lr: 6.2434e-05 eta: 6:27:49 time: 0.0785 data_time: 0.0182 memory: 1684 loss: 1.3164 2023/04/02 22:57:48 - mmengine - INFO - Epoch(train) [43][2200/5005] lr: 6.2434e-05 eta: 6:27:41 time: 0.0860 data_time: 0.0185 memory: 1684 loss: 1.4041 2023/04/02 22:57:57 - mmengine - INFO - Epoch(train) [43][2300/5005] lr: 6.2434e-05 eta: 6:27:34 time: 0.0888 data_time: 0.0177 memory: 1684 loss: 1.2763 2023/04/02 22:58:05 - mmengine - INFO - Epoch(train) [43][2400/5005] lr: 6.2434e-05 eta: 6:27:26 time: 0.0756 data_time: 0.0174 memory: 1684 loss: 1.1899 2023/04/02 22:58:13 - mmengine - INFO - Epoch(train) [43][2500/5005] lr: 6.2434e-05 eta: 6:27:18 time: 0.0778 data_time: 0.0183 memory: 1684 loss: 1.2976 2023/04/02 22:58:21 - mmengine - INFO - Epoch(train) [43][2600/5005] lr: 6.2434e-05 eta: 6:27:10 time: 0.0856 data_time: 0.0194 memory: 1684 loss: 1.2850 2023/04/02 22:58:29 - mmengine - INFO - Epoch(train) [43][2700/5005] lr: 6.2434e-05 eta: 6:27:02 time: 0.0767 data_time: 0.0181 memory: 1684 loss: 1.1073 2023/04/02 22:58:37 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 22:58:38 - mmengine - INFO - Epoch(train) [43][2800/5005] lr: 6.2434e-05 eta: 6:26:54 time: 0.0817 data_time: 0.0176 memory: 1684 loss: 1.2397 2023/04/02 22:58:46 - mmengine - INFO - Epoch(train) [43][2900/5005] lr: 6.2434e-05 eta: 6:26:46 time: 0.0788 data_time: 0.0179 memory: 1684 loss: 1.2634 2023/04/02 22:58:54 - mmengine - INFO - Epoch(train) [43][3000/5005] lr: 6.2434e-05 eta: 6:26:38 time: 0.0778 data_time: 0.0176 memory: 1684 loss: 1.2233 2023/04/02 22:59:02 - mmengine - INFO - Epoch(train) [43][3100/5005] lr: 6.2434e-05 eta: 6:26:30 time: 0.0776 data_time: 0.0185 memory: 1684 loss: 1.2680 2023/04/02 22:59:10 - mmengine - INFO - Epoch(train) [43][3200/5005] lr: 6.2434e-05 eta: 6:26:22 time: 0.0771 data_time: 0.0178 memory: 1684 loss: 1.2689 2023/04/02 22:59:19 - mmengine - INFO - Epoch(train) [43][3300/5005] lr: 6.2434e-05 eta: 6:26:14 time: 0.0772 data_time: 0.0178 memory: 1684 loss: 1.1614 2023/04/02 22:59:27 - mmengine - INFO - Epoch(train) [43][3400/5005] lr: 6.2434e-05 eta: 6:26:06 time: 0.0895 data_time: 0.0176 memory: 1684 loss: 1.0795 2023/04/02 22:59:35 - mmengine - INFO - Epoch(train) [43][3500/5005] lr: 6.2434e-05 eta: 6:25:58 time: 0.0794 data_time: 0.0178 memory: 1684 loss: 1.4670 2023/04/02 22:59:43 - mmengine - INFO - Epoch(train) [43][3600/5005] lr: 6.2434e-05 eta: 6:25:50 time: 0.0787 data_time: 0.0178 memory: 1684 loss: 1.1850 2023/04/02 22:59:52 - mmengine - INFO - Epoch(train) [43][3700/5005] lr: 6.2434e-05 eta: 6:25:42 time: 0.0805 data_time: 0.0191 memory: 1684 loss: 1.1223 2023/04/02 22:59:59 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:00:00 - mmengine - INFO - Epoch(train) [43][3800/5005] lr: 6.2434e-05 eta: 6:25:34 time: 0.0776 data_time: 0.0179 memory: 1684 loss: 1.0731 2023/04/02 23:00:08 - mmengine - INFO - Epoch(train) [43][3900/5005] lr: 6.2434e-05 eta: 6:25:26 time: 0.0763 data_time: 0.0184 memory: 1684 loss: 1.3292 2023/04/02 23:00:16 - mmengine - INFO - Epoch(train) [43][4000/5005] lr: 6.2434e-05 eta: 6:25:18 time: 0.0808 data_time: 0.0194 memory: 1684 loss: 1.3271 2023/04/02 23:00:24 - mmengine - INFO - Epoch(train) [43][4100/5005] lr: 6.2434e-05 eta: 6:25:10 time: 0.0788 data_time: 0.0177 memory: 1684 loss: 1.2995 2023/04/02 23:00:32 - mmengine - INFO - Epoch(train) [43][4200/5005] lr: 6.2434e-05 eta: 6:25:01 time: 0.0775 data_time: 0.0181 memory: 1684 loss: 1.1834 2023/04/02 23:00:40 - mmengine - INFO - Epoch(train) [43][4300/5005] lr: 6.2434e-05 eta: 6:24:53 time: 0.0765 data_time: 0.0177 memory: 1684 loss: 1.3079 2023/04/02 23:00:48 - mmengine - INFO - Epoch(train) [43][4400/5005] lr: 6.2434e-05 eta: 6:24:44 time: 0.0767 data_time: 0.0176 memory: 1684 loss: 1.1141 2023/04/02 23:00:56 - mmengine - INFO - Epoch(train) [43][4500/5005] lr: 6.2434e-05 eta: 6:24:36 time: 0.0835 data_time: 0.0181 memory: 1684 loss: 1.2113 2023/04/02 23:01:04 - mmengine - INFO - Epoch(train) [43][4600/5005] lr: 6.2434e-05 eta: 6:24:28 time: 0.0935 data_time: 0.0336 memory: 1684 loss: 1.2845 2023/04/02 23:01:12 - mmengine - INFO - Epoch(train) [43][4700/5005] lr: 6.2434e-05 eta: 6:24:19 time: 0.0764 data_time: 0.0177 memory: 1684 loss: 1.1251 2023/04/02 23:01:19 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:01:19 - mmengine - INFO - Epoch(train) [43][4800/5005] lr: 6.2434e-05 eta: 6:24:11 time: 0.0770 data_time: 0.0177 memory: 1684 loss: 1.3087 2023/04/02 23:01:27 - mmengine - INFO - Epoch(train) [43][4900/5005] lr: 6.2434e-05 eta: 6:24:02 time: 0.0872 data_time: 0.0181 memory: 1684 loss: 1.1434 2023/04/02 23:01:36 - mmengine - INFO - Epoch(train) [43][5000/5005] lr: 6.2434e-05 eta: 6:23:55 time: 0.0984 data_time: 0.0198 memory: 1684 loss: 1.1243 2023/04/02 23:01:36 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:01:36 - mmengine - INFO - Saving checkpoint at 43 epochs 2023/04/02 23:01:43 - mmengine - INFO - Epoch(val) [43][100/196] eta: 0:00:04 time: 0.0343 data_time: 0.0084 memory: 1684 2023/04/02 23:01:55 - mmengine - INFO - Epoch(val) [43][196/196] qat.accuracy/top1: 69.7580 qat.accuracy/top5: 89.1860data_time: 0.0117 time: 0.0359 2023/04/02 23:02:00 - mmengine - INFO - Epoch(val) [43][100/196] eta: 0:00:04 time: 0.0350 data_time: 0.0071 memory: 513 2023/04/02 23:02:13 - mmengine - INFO - Epoch(val) [43][196/196] qat.accuracy/top1: 69.6160 qat.accuracy/top5: 89.0900data_time: 0.0066 time: 0.0329 2023/04/02 23:02:16 - mmengine - INFO - Epoch(val) [43][100/196] eta: 0:00:02 time: 0.0258 data_time: 0.0152 memory: 470 2023/04/02 23:02:28 - mmengine - INFO - Epoch(val) [43][196/196] original.accuracy/top1: 69.5980 original.accuracy/top5: 89.1880data_time: 0.0319 time: 0.0415 2023/04/02 23:02:38 - mmengine - INFO - Epoch(train) [44][ 100/5005] lr: 6.0907e-05 eta: 6:23:48 time: 0.0781 data_time: 0.0176 memory: 1735 loss: 1.2233 2023/04/02 23:02:46 - mmengine - INFO - Epoch(train) [44][ 200/5005] lr: 6.0907e-05 eta: 6:23:40 time: 0.0831 data_time: 0.0190 memory: 1735 loss: 1.1262 2023/04/02 23:02:54 - mmengine - INFO - Epoch(train) [44][ 300/5005] lr: 6.0907e-05 eta: 6:23:33 time: 0.0771 data_time: 0.0196 memory: 1735 loss: 1.0886 2023/04/02 23:03:02 - mmengine - INFO - Epoch(train) [44][ 400/5005] lr: 6.0907e-05 eta: 6:23:24 time: 0.0772 data_time: 0.0194 memory: 1735 loss: 1.2806 2023/04/02 23:03:10 - mmengine - INFO - Epoch(train) [44][ 500/5005] lr: 6.0907e-05 eta: 6:23:16 time: 0.0800 data_time: 0.0198 memory: 1735 loss: 1.3317 2023/04/02 23:03:18 - mmengine - INFO - Epoch(train) [44][ 600/5005] lr: 6.0907e-05 eta: 6:23:07 time: 0.0757 data_time: 0.0181 memory: 1735 loss: 1.3109 2023/04/02 23:03:26 - mmengine - INFO - Epoch(train) [44][ 700/5005] lr: 6.0907e-05 eta: 6:22:59 time: 0.0756 data_time: 0.0177 memory: 1735 loss: 1.2804 2023/04/02 23:03:33 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:03:34 - mmengine - INFO - Epoch(train) [44][ 800/5005] lr: 6.0907e-05 eta: 6:22:51 time: 0.0809 data_time: 0.0191 memory: 1735 loss: 1.3329 2023/04/02 23:03:42 - mmengine - INFO - Epoch(train) [44][ 900/5005] lr: 6.0907e-05 eta: 6:22:43 time: 0.0756 data_time: 0.0175 memory: 1735 loss: 1.1548 2023/04/02 23:03:50 - mmengine - INFO - Epoch(train) [44][1000/5005] lr: 6.0907e-05 eta: 6:22:35 time: 0.0808 data_time: 0.0181 memory: 1735 loss: 1.3266 2023/04/02 23:03:58 - mmengine - INFO - Epoch(train) [44][1100/5005] lr: 6.0907e-05 eta: 6:22:27 time: 0.0787 data_time: 0.0176 memory: 1684 loss: 1.2736 2023/04/02 23:04:06 - mmengine - INFO - Epoch(train) [44][1200/5005] lr: 6.0907e-05 eta: 6:22:18 time: 0.0784 data_time: 0.0181 memory: 1684 loss: 1.0874 2023/04/02 23:04:14 - mmengine - INFO - Epoch(train) [44][1300/5005] lr: 6.0907e-05 eta: 6:22:10 time: 0.0757 data_time: 0.0184 memory: 1684 loss: 1.2274 2023/04/02 23:04:22 - mmengine - INFO - Epoch(train) [44][1400/5005] lr: 6.0907e-05 eta: 6:22:02 time: 0.0781 data_time: 0.0187 memory: 1684 loss: 1.2055 2023/04/02 23:04:30 - mmengine - INFO - Epoch(train) [44][1500/5005] lr: 6.0907e-05 eta: 6:21:54 time: 0.0763 data_time: 0.0176 memory: 1684 loss: 1.4378 2023/04/02 23:04:39 - mmengine - INFO - Epoch(train) [44][1600/5005] lr: 6.0907e-05 eta: 6:21:46 time: 0.0811 data_time: 0.0176 memory: 1684 loss: 1.2499 2023/04/02 23:04:47 - mmengine - INFO - Epoch(train) [44][1700/5005] lr: 6.0907e-05 eta: 6:21:38 time: 0.0879 data_time: 0.0185 memory: 1684 loss: 1.1919 2023/04/02 23:04:53 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:04:54 - mmengine - INFO - Epoch(train) [44][1800/5005] lr: 6.0907e-05 eta: 6:21:29 time: 0.0790 data_time: 0.0174 memory: 1684 loss: 1.1716 2023/04/02 23:05:02 - mmengine - INFO - Epoch(train) [44][1900/5005] lr: 6.0907e-05 eta: 6:21:21 time: 0.0858 data_time: 0.0178 memory: 1684 loss: 1.2063 2023/04/02 23:05:10 - mmengine - INFO - Epoch(train) [44][2000/5005] lr: 6.0907e-05 eta: 6:21:13 time: 0.0757 data_time: 0.0186 memory: 1684 loss: 1.2975 2023/04/02 23:05:19 - mmengine - INFO - Epoch(train) [44][2100/5005] lr: 6.0907e-05 eta: 6:21:05 time: 0.0769 data_time: 0.0179 memory: 1684 loss: 1.3266 2023/04/02 23:05:27 - mmengine - INFO - Epoch(train) [44][2200/5005] lr: 6.0907e-05 eta: 6:20:57 time: 0.0766 data_time: 0.0179 memory: 1684 loss: 1.2184 2023/04/02 23:05:35 - mmengine - INFO - Epoch(train) [44][2300/5005] lr: 6.0907e-05 eta: 6:20:48 time: 0.0783 data_time: 0.0174 memory: 1684 loss: 1.2294 2023/04/02 23:05:43 - mmengine - INFO - Epoch(train) [44][2400/5005] lr: 6.0907e-05 eta: 6:20:41 time: 0.1118 data_time: 0.0177 memory: 1684 loss: 1.1516 2023/04/02 23:05:51 - mmengine - INFO - Epoch(train) [44][2500/5005] lr: 6.0907e-05 eta: 6:20:33 time: 0.0929 data_time: 0.0178 memory: 1684 loss: 1.1910 2023/04/02 23:06:00 - mmengine - INFO - Epoch(train) [44][2600/5005] lr: 6.0907e-05 eta: 6:20:25 time: 0.0777 data_time: 0.0176 memory: 1684 loss: 1.4120 2023/04/02 23:06:08 - mmengine - INFO - Epoch(train) [44][2700/5005] lr: 6.0907e-05 eta: 6:20:17 time: 0.0799 data_time: 0.0195 memory: 1684 loss: 1.1844 2023/04/02 23:06:15 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:06:16 - mmengine - INFO - Epoch(train) [44][2800/5005] lr: 6.0907e-05 eta: 6:20:09 time: 0.0893 data_time: 0.0173 memory: 1684 loss: 1.1279 2023/04/02 23:06:24 - mmengine - INFO - Epoch(train) [44][2900/5005] lr: 6.0907e-05 eta: 6:20:01 time: 0.0770 data_time: 0.0178 memory: 1684 loss: 1.2229 2023/04/02 23:06:32 - mmengine - INFO - Epoch(train) [44][3000/5005] lr: 6.0907e-05 eta: 6:19:52 time: 0.0798 data_time: 0.0177 memory: 1684 loss: 1.1937 2023/04/02 23:06:40 - mmengine - INFO - Epoch(train) [44][3100/5005] lr: 6.0907e-05 eta: 6:19:44 time: 0.0784 data_time: 0.0184 memory: 1684 loss: 1.2540 2023/04/02 23:06:49 - mmengine - INFO - Epoch(train) [44][3200/5005] lr: 6.0907e-05 eta: 6:19:37 time: 0.0814 data_time: 0.0202 memory: 1684 loss: 1.4503 2023/04/02 23:06:57 - mmengine - INFO - Epoch(train) [44][3300/5005] lr: 6.0907e-05 eta: 6:19:29 time: 0.0781 data_time: 0.0182 memory: 1684 loss: 1.2980 2023/04/02 23:07:05 - mmengine - INFO - Epoch(train) [44][3400/5005] lr: 6.0907e-05 eta: 6:19:21 time: 0.0781 data_time: 0.0180 memory: 1684 loss: 1.3259 2023/04/02 23:07:13 - mmengine - INFO - Epoch(train) [44][3500/5005] lr: 6.0907e-05 eta: 6:19:13 time: 0.0776 data_time: 0.0187 memory: 1684 loss: 1.2135 2023/04/02 23:07:22 - mmengine - INFO - Epoch(train) [44][3600/5005] lr: 6.0907e-05 eta: 6:19:05 time: 0.0768 data_time: 0.0179 memory: 1684 loss: 1.1946 2023/04/02 23:07:30 - mmengine - INFO - Epoch(train) [44][3700/5005] lr: 6.0907e-05 eta: 6:18:57 time: 0.0771 data_time: 0.0179 memory: 1684 loss: 1.3702 2023/04/02 23:07:37 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:07:38 - mmengine - INFO - Epoch(train) [44][3800/5005] lr: 6.0907e-05 eta: 6:18:49 time: 0.0776 data_time: 0.0182 memory: 1684 loss: 1.1916 2023/04/02 23:07:46 - mmengine - INFO - Epoch(train) [44][3900/5005] lr: 6.0907e-05 eta: 6:18:40 time: 0.0789 data_time: 0.0179 memory: 1684 loss: 1.1710 2023/04/02 23:07:54 - mmengine - INFO - Epoch(train) [44][4000/5005] lr: 6.0907e-05 eta: 6:18:32 time: 0.0784 data_time: 0.0181 memory: 1684 loss: 1.1809 2023/04/02 23:08:02 - mmengine - INFO - Epoch(train) [44][4100/5005] lr: 6.0907e-05 eta: 6:18:24 time: 0.0790 data_time: 0.0180 memory: 1684 loss: 1.1246 2023/04/02 23:08:10 - mmengine - INFO - Epoch(train) [44][4200/5005] lr: 6.0907e-05 eta: 6:18:16 time: 0.0765 data_time: 0.0182 memory: 1684 loss: 1.3508 2023/04/02 23:08:18 - mmengine - INFO - Epoch(train) [44][4300/5005] lr: 6.0907e-05 eta: 6:18:08 time: 0.0887 data_time: 0.0301 memory: 1684 loss: 1.2524 2023/04/02 23:08:27 - mmengine - INFO - Epoch(train) [44][4400/5005] lr: 6.0907e-05 eta: 6:18:00 time: 0.0793 data_time: 0.0182 memory: 1684 loss: 1.2737 2023/04/02 23:08:35 - mmengine - INFO - Epoch(train) [44][4500/5005] lr: 6.0907e-05 eta: 6:17:52 time: 0.0791 data_time: 0.0176 memory: 1684 loss: 1.1422 2023/04/02 23:08:43 - mmengine - INFO - Epoch(train) [44][4600/5005] lr: 6.0907e-05 eta: 6:17:44 time: 0.0830 data_time: 0.0184 memory: 1684 loss: 1.3270 2023/04/02 23:08:51 - mmengine - INFO - Epoch(train) [44][4700/5005] lr: 6.0907e-05 eta: 6:17:36 time: 0.0762 data_time: 0.0182 memory: 1684 loss: 1.1885 2023/04/02 23:08:58 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:08:59 - mmengine - INFO - Epoch(train) [44][4800/5005] lr: 6.0907e-05 eta: 6:17:28 time: 0.0807 data_time: 0.0190 memory: 1684 loss: 1.2697 2023/04/02 23:09:07 - mmengine - INFO - Epoch(train) [44][4900/5005] lr: 6.0907e-05 eta: 6:17:20 time: 0.0805 data_time: 0.0181 memory: 1684 loss: 1.2787 2023/04/02 23:09:16 - mmengine - INFO - Epoch(train) [44][5000/5005] lr: 6.0907e-05 eta: 6:17:12 time: 0.0937 data_time: 0.0196 memory: 1684 loss: 1.3099 2023/04/02 23:09:16 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:09:16 - mmengine - INFO - Saving checkpoint at 44 epochs 2023/04/02 23:09:22 - mmengine - INFO - Epoch(val) [44][100/196] eta: 0:00:03 time: 0.0341 data_time: 0.0081 memory: 1684 2023/04/02 23:09:35 - mmengine - INFO - Epoch(val) [44][196/196] qat.accuracy/top1: 69.6680 qat.accuracy/top5: 89.2480data_time: 0.0102 time: 0.0342 2023/04/02 23:09:39 - mmengine - INFO - Epoch(val) [44][100/196] eta: 0:00:03 time: 0.0364 data_time: 0.0080 memory: 513 2023/04/02 23:09:53 - mmengine - INFO - Epoch(val) [44][196/196] qat.accuracy/top1: 69.6800 qat.accuracy/top5: 89.1720data_time: 0.0075 time: 0.0343 2023/04/02 23:09:56 - mmengine - INFO - Epoch(val) [44][100/196] eta: 0:00:02 time: 0.0214 data_time: 0.0108 memory: 470 2023/04/02 23:10:08 - mmengine - INFO - Epoch(val) [44][196/196] original.accuracy/top1: 69.5960 original.accuracy/top5: 89.2000data_time: 0.0327 time: 0.0421 2023/04/02 23:10:18 - mmengine - INFO - Epoch(train) [45][ 100/5005] lr: 5.9369e-05 eta: 6:17:06 time: 0.0855 data_time: 0.0195 memory: 1735 loss: 1.1518 2023/04/02 23:10:27 - mmengine - INFO - Epoch(train) [45][ 200/5005] lr: 5.9369e-05 eta: 6:16:59 time: 0.0953 data_time: 0.0173 memory: 1735 loss: 1.2943 2023/04/02 23:10:34 - mmengine - INFO - Epoch(train) [45][ 300/5005] lr: 5.9369e-05 eta: 6:16:50 time: 0.0748 data_time: 0.0173 memory: 1735 loss: 1.3336 2023/04/02 23:10:43 - mmengine - INFO - Epoch(train) [45][ 400/5005] lr: 5.9369e-05 eta: 6:16:42 time: 0.0924 data_time: 0.0171 memory: 1735 loss: 1.5609 2023/04/02 23:10:51 - mmengine - INFO - Epoch(train) [45][ 500/5005] lr: 5.9369e-05 eta: 6:16:34 time: 0.0790 data_time: 0.0173 memory: 1735 loss: 1.4227 2023/04/02 23:10:59 - mmengine - INFO - Epoch(train) [45][ 600/5005] lr: 5.9369e-05 eta: 6:16:27 time: 0.0794 data_time: 0.0177 memory: 1735 loss: 1.1817 2023/04/02 23:11:08 - mmengine - INFO - Epoch(train) [45][ 700/5005] lr: 5.9369e-05 eta: 6:16:19 time: 0.0778 data_time: 0.0186 memory: 1735 loss: 1.2635 2023/04/02 23:11:14 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:11:15 - mmengine - INFO - Epoch(train) [45][ 800/5005] lr: 5.9369e-05 eta: 6:16:10 time: 0.0773 data_time: 0.0188 memory: 1735 loss: 1.2592 2023/04/02 23:11:24 - mmengine - INFO - Epoch(train) [45][ 900/5005] lr: 5.9369e-05 eta: 6:16:02 time: 0.0760 data_time: 0.0185 memory: 1735 loss: 1.1438 2023/04/02 23:11:32 - mmengine - INFO - Epoch(train) [45][1000/5005] lr: 5.9369e-05 eta: 6:15:54 time: 0.0800 data_time: 0.0183 memory: 1684 loss: 1.1400 2023/04/02 23:11:40 - mmengine - INFO - Epoch(train) [45][1100/5005] lr: 5.9369e-05 eta: 6:15:46 time: 0.0785 data_time: 0.0183 memory: 1684 loss: 1.2037 2023/04/02 23:11:48 - mmengine - INFO - Epoch(train) [45][1200/5005] lr: 5.9369e-05 eta: 6:15:38 time: 0.0801 data_time: 0.0179 memory: 1684 loss: 1.2317 2023/04/02 23:11:56 - mmengine - INFO - Epoch(train) [45][1300/5005] lr: 5.9369e-05 eta: 6:15:30 time: 0.0785 data_time: 0.0183 memory: 1684 loss: 1.1182 2023/04/02 23:12:04 - mmengine - INFO - Epoch(train) [45][1400/5005] lr: 5.9369e-05 eta: 6:15:22 time: 0.0762 data_time: 0.0180 memory: 1684 loss: 1.3313 2023/04/02 23:12:13 - mmengine - INFO - Epoch(train) [45][1500/5005] lr: 5.9369e-05 eta: 6:15:14 time: 0.0768 data_time: 0.0184 memory: 1684 loss: 1.2662 2023/04/02 23:12:21 - mmengine - INFO - Epoch(train) [45][1600/5005] lr: 5.9369e-05 eta: 6:15:06 time: 0.0796 data_time: 0.0182 memory: 1684 loss: 1.4431 2023/04/02 23:12:29 - mmengine - INFO - Epoch(train) [45][1700/5005] lr: 5.9369e-05 eta: 6:14:58 time: 0.0877 data_time: 0.0180 memory: 1684 loss: 1.1718 2023/04/02 23:12:36 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:12:37 - mmengine - INFO - Epoch(train) [45][1800/5005] lr: 5.9369e-05 eta: 6:14:50 time: 0.0806 data_time: 0.0185 memory: 1684 loss: 1.2044 2023/04/02 23:12:45 - mmengine - INFO - Epoch(train) [45][1900/5005] lr: 5.9369e-05 eta: 6:14:42 time: 0.0863 data_time: 0.0171 memory: 1684 loss: 1.3790 2023/04/02 23:12:53 - mmengine - INFO - Epoch(train) [45][2000/5005] lr: 5.9369e-05 eta: 6:14:33 time: 0.0756 data_time: 0.0183 memory: 1684 loss: 1.1950 2023/04/02 23:13:02 - mmengine - INFO - Epoch(train) [45][2100/5005] lr: 5.9369e-05 eta: 6:14:26 time: 0.0800 data_time: 0.0182 memory: 1684 loss: 1.2940 2023/04/02 23:13:10 - mmengine - INFO - Epoch(train) [45][2200/5005] lr: 5.9369e-05 eta: 6:14:18 time: 0.0757 data_time: 0.0180 memory: 1684 loss: 1.2778 2023/04/02 23:13:18 - mmengine - INFO - Epoch(train) [45][2300/5005] lr: 5.9369e-05 eta: 6:14:10 time: 0.0754 data_time: 0.0180 memory: 1684 loss: 1.3395 2023/04/02 23:13:26 - mmengine - INFO - Epoch(train) [45][2400/5005] lr: 5.9369e-05 eta: 6:14:01 time: 0.0754 data_time: 0.0181 memory: 1684 loss: 1.2080 2023/04/02 23:13:34 - mmengine - INFO - Epoch(train) [45][2500/5005] lr: 5.9369e-05 eta: 6:13:53 time: 0.0776 data_time: 0.0181 memory: 1684 loss: 1.1184 2023/04/02 23:13:42 - mmengine - INFO - Epoch(train) [45][2600/5005] lr: 5.9369e-05 eta: 6:13:45 time: 0.0839 data_time: 0.0178 memory: 1684 loss: 1.0318 2023/04/02 23:13:50 - mmengine - INFO - Epoch(train) [45][2700/5005] lr: 5.9369e-05 eta: 6:13:37 time: 0.0766 data_time: 0.0191 memory: 1684 loss: 1.2757 2023/04/02 23:13:56 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:13:58 - mmengine - INFO - Epoch(train) [45][2800/5005] lr: 5.9369e-05 eta: 6:13:29 time: 0.0773 data_time: 0.0180 memory: 1684 loss: 1.3223 2023/04/02 23:14:06 - mmengine - INFO - Epoch(train) [45][2900/5005] lr: 5.9369e-05 eta: 6:13:20 time: 0.0807 data_time: 0.0179 memory: 1684 loss: 1.2580 2023/04/02 23:14:14 - mmengine - INFO - Epoch(train) [45][3000/5005] lr: 5.9369e-05 eta: 6:13:12 time: 0.0800 data_time: 0.0186 memory: 1684 loss: 1.2834 2023/04/02 23:14:22 - mmengine - INFO - Epoch(train) [45][3100/5005] lr: 5.9369e-05 eta: 6:13:04 time: 0.0797 data_time: 0.0192 memory: 1684 loss: 1.2027 2023/04/02 23:14:31 - mmengine - INFO - Epoch(train) [45][3200/5005] lr: 5.9369e-05 eta: 6:12:56 time: 0.0992 data_time: 0.0185 memory: 1684 loss: 1.1731 2023/04/02 23:14:39 - mmengine - INFO - Epoch(train) [45][3300/5005] lr: 5.9369e-05 eta: 6:12:48 time: 0.0758 data_time: 0.0182 memory: 1684 loss: 1.2443 2023/04/02 23:14:47 - mmengine - INFO - Epoch(train) [45][3400/5005] lr: 5.9369e-05 eta: 6:12:40 time: 0.0789 data_time: 0.0176 memory: 1684 loss: 0.9675 2023/04/02 23:14:55 - mmengine - INFO - Epoch(train) [45][3500/5005] lr: 5.9369e-05 eta: 6:12:32 time: 0.1025 data_time: 0.0180 memory: 1684 loss: 1.4378 2023/04/02 23:15:03 - mmengine - INFO - Epoch(train) [45][3600/5005] lr: 5.9369e-05 eta: 6:12:24 time: 0.0781 data_time: 0.0178 memory: 1684 loss: 1.1664 2023/04/02 23:15:11 - mmengine - INFO - Epoch(train) [45][3700/5005] lr: 5.9369e-05 eta: 6:12:15 time: 0.0874 data_time: 0.0292 memory: 1684 loss: 1.3610 2023/04/02 23:15:18 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:15:19 - mmengine - INFO - Epoch(train) [45][3800/5005] lr: 5.9369e-05 eta: 6:12:07 time: 0.0769 data_time: 0.0185 memory: 1684 loss: 1.3485 2023/04/02 23:15:27 - mmengine - INFO - Epoch(train) [45][3900/5005] lr: 5.9369e-05 eta: 6:11:59 time: 0.0838 data_time: 0.0177 memory: 1684 loss: 1.1663 2023/04/02 23:15:35 - mmengine - INFO - Epoch(train) [45][4000/5005] lr: 5.9369e-05 eta: 6:11:51 time: 0.0761 data_time: 0.0177 memory: 1684 loss: 1.0356 2023/04/02 23:15:43 - mmengine - INFO - Epoch(train) [45][4100/5005] lr: 5.9369e-05 eta: 6:11:43 time: 0.0773 data_time: 0.0180 memory: 1684 loss: 1.2278 2023/04/02 23:15:52 - mmengine - INFO - Epoch(train) [45][4200/5005] lr: 5.9369e-05 eta: 6:11:35 time: 0.0789 data_time: 0.0180 memory: 1684 loss: 1.1911 2023/04/02 23:16:00 - mmengine - INFO - Epoch(train) [45][4300/5005] lr: 5.9369e-05 eta: 6:11:27 time: 0.0788 data_time: 0.0184 memory: 1684 loss: 1.2568 2023/04/02 23:16:08 - mmengine - INFO - Epoch(train) [45][4400/5005] lr: 5.9369e-05 eta: 6:11:19 time: 0.0800 data_time: 0.0176 memory: 1684 loss: 1.2936 2023/04/02 23:16:16 - mmengine - INFO - Epoch(train) [45][4500/5005] lr: 5.9369e-05 eta: 6:11:11 time: 0.0761 data_time: 0.0174 memory: 1684 loss: 1.1403 2023/04/02 23:16:24 - mmengine - INFO - Epoch(train) [45][4600/5005] lr: 5.9369e-05 eta: 6:11:02 time: 0.0777 data_time: 0.0187 memory: 1684 loss: 1.1275 2023/04/02 23:16:32 - mmengine - INFO - Epoch(train) [45][4700/5005] lr: 5.9369e-05 eta: 6:10:54 time: 0.0913 data_time: 0.0337 memory: 1684 loss: 1.0647 2023/04/02 23:16:38 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:16:40 - mmengine - INFO - Epoch(train) [45][4800/5005] lr: 5.9369e-05 eta: 6:10:45 time: 0.0747 data_time: 0.0181 memory: 1684 loss: 1.4851 2023/04/02 23:16:48 - mmengine - INFO - Epoch(train) [45][4900/5005] lr: 5.9369e-05 eta: 6:10:37 time: 0.0759 data_time: 0.0175 memory: 1684 loss: 1.3947 2023/04/02 23:16:56 - mmengine - INFO - Epoch(train) [45][5000/5005] lr: 5.9369e-05 eta: 6:10:29 time: 0.0782 data_time: 0.0193 memory: 1684 loss: 1.3712 2023/04/02 23:16:57 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:16:57 - mmengine - INFO - Saving checkpoint at 45 epochs 2023/04/02 23:17:02 - mmengine - INFO - Epoch(val) [45][100/196] eta: 0:00:03 time: 0.0344 data_time: 0.0088 memory: 1684 2023/04/02 23:17:15 - mmengine - INFO - Epoch(val) [45][196/196] qat.accuracy/top1: 69.6660 qat.accuracy/top5: 89.1840data_time: 0.0157 time: 0.0401 2023/04/02 23:17:20 - mmengine - INFO - Epoch(val) [45][100/196] eta: 0:00:03 time: 0.0348 data_time: 0.0077 memory: 513 2023/04/02 23:17:33 - mmengine - INFO - Epoch(val) [45][196/196] qat.accuracy/top1: 69.5840 qat.accuracy/top5: 89.1060data_time: 0.0068 time: 0.0338 2023/04/02 23:17:36 - mmengine - INFO - Epoch(val) [45][100/196] eta: 0:00:02 time: 0.0260 data_time: 0.0150 memory: 470 2023/04/02 23:17:48 - mmengine - INFO - Epoch(val) [45][196/196] original.accuracy/top1: 69.5260 original.accuracy/top5: 89.0560data_time: 0.0343 time: 0.0447 2023/04/02 23:17:58 - mmengine - INFO - Epoch(train) [46][ 100/5005] lr: 5.7822e-05 eta: 6:10:22 time: 0.0905 data_time: 0.0177 memory: 1735 loss: 1.1845 2023/04/02 23:18:06 - mmengine - INFO - Epoch(train) [46][ 200/5005] lr: 5.7822e-05 eta: 6:10:14 time: 0.0949 data_time: 0.0179 memory: 1735 loss: 1.4179 2023/04/02 23:18:14 - mmengine - INFO - Epoch(train) [46][ 300/5005] lr: 5.7822e-05 eta: 6:10:06 time: 0.0788 data_time: 0.0175 memory: 1735 loss: 1.2092 2023/04/02 23:18:22 - mmengine - INFO - Epoch(train) [46][ 400/5005] lr: 5.7822e-05 eta: 6:09:57 time: 0.0782 data_time: 0.0175 memory: 1735 loss: 1.4516 2023/04/02 23:18:30 - mmengine - INFO - Epoch(train) [46][ 500/5005] lr: 5.7822e-05 eta: 6:09:50 time: 0.0963 data_time: 0.0309 memory: 1735 loss: 1.1460 2023/04/02 23:18:38 - mmengine - INFO - Epoch(train) [46][ 600/5005] lr: 5.7822e-05 eta: 6:09:41 time: 0.0827 data_time: 0.0175 memory: 1735 loss: 1.2349 2023/04/02 23:18:46 - mmengine - INFO - Epoch(train) [46][ 700/5005] lr: 5.7822e-05 eta: 6:09:33 time: 0.0757 data_time: 0.0174 memory: 1735 loss: 1.1446 2023/04/02 23:18:52 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:18:54 - mmengine - INFO - Epoch(train) [46][ 800/5005] lr: 5.7822e-05 eta: 6:09:25 time: 0.0760 data_time: 0.0178 memory: 1735 loss: 1.4433 2023/04/02 23:19:02 - mmengine - INFO - Epoch(train) [46][ 900/5005] lr: 5.7822e-05 eta: 6:09:17 time: 0.0783 data_time: 0.0178 memory: 1735 loss: 1.2018 2023/04/02 23:19:10 - mmengine - INFO - Epoch(train) [46][1000/5005] lr: 5.7822e-05 eta: 6:09:09 time: 0.0805 data_time: 0.0176 memory: 1684 loss: 1.2434 2023/04/02 23:19:19 - mmengine - INFO - Epoch(train) [46][1100/5005] lr: 5.7822e-05 eta: 6:09:01 time: 0.0779 data_time: 0.0176 memory: 1684 loss: 1.2103 2023/04/02 23:19:27 - mmengine - INFO - Epoch(train) [46][1200/5005] lr: 5.7822e-05 eta: 6:08:53 time: 0.0792 data_time: 0.0174 memory: 1684 loss: 1.1150 2023/04/02 23:19:35 - mmengine - INFO - Epoch(train) [46][1300/5005] lr: 5.7822e-05 eta: 6:08:45 time: 0.1062 data_time: 0.0174 memory: 1684 loss: 1.0943 2023/04/02 23:19:43 - mmengine - INFO - Epoch(train) [46][1400/5005] lr: 5.7822e-05 eta: 6:08:37 time: 0.0761 data_time: 0.0174 memory: 1684 loss: 1.1459 2023/04/02 23:19:51 - mmengine - INFO - Epoch(train) [46][1500/5005] lr: 5.7822e-05 eta: 6:08:28 time: 0.0789 data_time: 0.0175 memory: 1684 loss: 1.1256 2023/04/02 23:19:59 - mmengine - INFO - Epoch(train) [46][1600/5005] lr: 5.7822e-05 eta: 6:08:20 time: 0.0777 data_time: 0.0179 memory: 1684 loss: 1.3850 2023/04/02 23:20:07 - mmengine - INFO - Epoch(train) [46][1700/5005] lr: 5.7822e-05 eta: 6:08:12 time: 0.0814 data_time: 0.0170 memory: 1684 loss: 1.2247 2023/04/02 23:20:14 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:20:16 - mmengine - INFO - Epoch(train) [46][1800/5005] lr: 5.7822e-05 eta: 6:08:04 time: 0.0815 data_time: 0.0168 memory: 1684 loss: 1.4128 2023/04/02 23:20:24 - mmengine - INFO - Epoch(train) [46][1900/5005] lr: 5.7822e-05 eta: 6:07:57 time: 0.0894 data_time: 0.0175 memory: 1684 loss: 1.2213 2023/04/02 23:20:32 - mmengine - INFO - Epoch(train) [46][2000/5005] lr: 5.7822e-05 eta: 6:07:49 time: 0.0783 data_time: 0.0177 memory: 1684 loss: 1.2095 2023/04/02 23:20:40 - mmengine - INFO - Epoch(train) [46][2100/5005] lr: 5.7822e-05 eta: 6:07:40 time: 0.0769 data_time: 0.0173 memory: 1684 loss: 1.0864 2023/04/02 23:20:48 - mmengine - INFO - Epoch(train) [46][2200/5005] lr: 5.7822e-05 eta: 6:07:32 time: 0.0781 data_time: 0.0175 memory: 1684 loss: 1.0985 2023/04/02 23:20:56 - mmengine - INFO - Epoch(train) [46][2300/5005] lr: 5.7822e-05 eta: 6:07:24 time: 0.0762 data_time: 0.0167 memory: 1684 loss: 1.1667 2023/04/02 23:21:04 - mmengine - INFO - Epoch(train) [46][2400/5005] lr: 5.7822e-05 eta: 6:07:16 time: 0.0797 data_time: 0.0173 memory: 1684 loss: 1.1777 2023/04/02 23:21:13 - mmengine - INFO - Epoch(train) [46][2500/5005] lr: 5.7822e-05 eta: 6:07:08 time: 0.0788 data_time: 0.0176 memory: 1684 loss: 1.2363 2023/04/02 23:21:21 - mmengine - INFO - Epoch(train) [46][2600/5005] lr: 5.7822e-05 eta: 6:07:00 time: 0.0806 data_time: 0.0176 memory: 1684 loss: 1.3519 2023/04/02 23:21:29 - mmengine - INFO - Epoch(train) [46][2700/5005] lr: 5.7822e-05 eta: 6:06:52 time: 0.0781 data_time: 0.0177 memory: 1684 loss: 1.1019 2023/04/02 23:21:35 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:21:37 - mmengine - INFO - Epoch(train) [46][2800/5005] lr: 5.7822e-05 eta: 6:06:44 time: 0.0846 data_time: 0.0184 memory: 1684 loss: 1.1570 2023/04/02 23:21:45 - mmengine - INFO - Epoch(train) [46][2900/5005] lr: 5.7822e-05 eta: 6:06:36 time: 0.0762 data_time: 0.0185 memory: 1684 loss: 1.2965 2023/04/02 23:21:54 - mmengine - INFO - Epoch(train) [46][3000/5005] lr: 5.7822e-05 eta: 6:06:28 time: 0.0821 data_time: 0.0174 memory: 1684 loss: 1.3045 2023/04/02 23:22:02 - mmengine - INFO - Epoch(train) [46][3100/5005] lr: 5.7822e-05 eta: 6:06:20 time: 0.0794 data_time: 0.0177 memory: 1684 loss: 1.1179 2023/04/02 23:22:10 - mmengine - INFO - Epoch(train) [46][3200/5005] lr: 5.7822e-05 eta: 6:06:12 time: 0.0793 data_time: 0.0177 memory: 1684 loss: 1.1897 2023/04/02 23:22:19 - mmengine - INFO - Epoch(train) [46][3300/5005] lr: 5.7822e-05 eta: 6:06:04 time: 0.0806 data_time: 0.0177 memory: 1684 loss: 1.0340 2023/04/02 23:22:27 - mmengine - INFO - Epoch(train) [46][3400/5005] lr: 5.7822e-05 eta: 6:05:56 time: 0.0797 data_time: 0.0180 memory: 1684 loss: 1.1595 2023/04/02 23:22:35 - mmengine - INFO - Epoch(train) [46][3500/5005] lr: 5.7822e-05 eta: 6:05:48 time: 0.0901 data_time: 0.0176 memory: 1684 loss: 1.2475 2023/04/02 23:22:43 - mmengine - INFO - Epoch(train) [46][3600/5005] lr: 5.7822e-05 eta: 6:05:40 time: 0.0778 data_time: 0.0179 memory: 1684 loss: 1.3370 2023/04/02 23:22:52 - mmengine - INFO - Epoch(train) [46][3700/5005] lr: 5.7822e-05 eta: 6:05:33 time: 0.0781 data_time: 0.0178 memory: 1684 loss: 1.2170 2023/04/02 23:22:58 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:23:00 - mmengine - INFO - Epoch(train) [46][3800/5005] lr: 5.7822e-05 eta: 6:05:24 time: 0.0750 data_time: 0.0179 memory: 1684 loss: 1.2846 2023/04/02 23:23:07 - mmengine - INFO - Epoch(train) [46][3900/5005] lr: 5.7822e-05 eta: 6:05:16 time: 0.0765 data_time: 0.0199 memory: 1684 loss: 1.1152 2023/04/02 23:23:15 - mmengine - INFO - Epoch(train) [46][4000/5005] lr: 5.7822e-05 eta: 6:05:07 time: 0.0787 data_time: 0.0178 memory: 1684 loss: 1.2068 2023/04/02 23:23:24 - mmengine - INFO - Epoch(train) [46][4100/5005] lr: 5.7822e-05 eta: 6:05:00 time: 0.0775 data_time: 0.0181 memory: 1684 loss: 1.4751 2023/04/02 23:23:32 - mmengine - INFO - Epoch(train) [46][4200/5005] lr: 5.7822e-05 eta: 6:04:52 time: 0.0759 data_time: 0.0187 memory: 1684 loss: 1.1581 2023/04/02 23:23:41 - mmengine - INFO - Epoch(train) [46][4300/5005] lr: 5.7822e-05 eta: 6:04:44 time: 0.0801 data_time: 0.0185 memory: 1684 loss: 1.1672 2023/04/02 23:23:49 - mmengine - INFO - Epoch(train) [46][4400/5005] lr: 5.7822e-05 eta: 6:04:36 time: 0.0800 data_time: 0.0176 memory: 1684 loss: 1.1768 2023/04/02 23:23:57 - mmengine - INFO - Epoch(train) [46][4500/5005] lr: 5.7822e-05 eta: 6:04:28 time: 0.0776 data_time: 0.0180 memory: 1684 loss: 1.1419 2023/04/02 23:24:05 - mmengine - INFO - Epoch(train) [46][4600/5005] lr: 5.7822e-05 eta: 6:04:20 time: 0.0865 data_time: 0.0182 memory: 1684 loss: 1.2826 2023/04/02 23:24:14 - mmengine - INFO - Epoch(train) [46][4700/5005] lr: 5.7822e-05 eta: 6:04:12 time: 0.0765 data_time: 0.0180 memory: 1684 loss: 1.2291 2023/04/02 23:24:19 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:24:21 - mmengine - INFO - Epoch(train) [46][4800/5005] lr: 5.7822e-05 eta: 6:04:04 time: 0.0788 data_time: 0.0177 memory: 1684 loss: 1.1469 2023/04/02 23:24:29 - mmengine - INFO - Epoch(train) [46][4900/5005] lr: 5.7822e-05 eta: 6:03:56 time: 0.0787 data_time: 0.0176 memory: 1684 loss: 1.2420 2023/04/02 23:24:38 - mmengine - INFO - Epoch(train) [46][5000/5005] lr: 5.7822e-05 eta: 6:03:47 time: 0.0813 data_time: 0.0184 memory: 1684 loss: 1.2721 2023/04/02 23:24:38 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:24:38 - mmengine - INFO - Saving checkpoint at 46 epochs 2023/04/02 23:24:43 - mmengine - INFO - Epoch(val) [46][100/196] eta: 0:00:03 time: 0.0341 data_time: 0.0080 memory: 1684 2023/04/02 23:24:56 - mmengine - INFO - Epoch(val) [46][196/196] qat.accuracy/top1: 69.6760 qat.accuracy/top5: 89.1720data_time: 0.0111 time: 0.0350 2023/04/02 23:25:01 - mmengine - INFO - Epoch(val) [46][100/196] eta: 0:00:03 time: 0.0365 data_time: 0.0085 memory: 513 2023/04/02 23:25:14 - mmengine - INFO - Epoch(val) [46][196/196] qat.accuracy/top1: 69.5920 qat.accuracy/top5: 89.1180data_time: 0.0072 time: 0.0332 2023/04/02 23:25:17 - mmengine - INFO - Epoch(val) [46][100/196] eta: 0:00:03 time: 0.0256 data_time: 0.0147 memory: 470 2023/04/02 23:25:29 - mmengine - INFO - Epoch(val) [46][196/196] original.accuracy/top1: 69.4900 original.accuracy/top5: 89.1600data_time: 0.0302 time: 0.0398 2023/04/02 23:25:39 - mmengine - INFO - Epoch(train) [47][ 100/5005] lr: 5.6267e-05 eta: 6:03:40 time: 0.0805 data_time: 0.0196 memory: 1735 loss: 1.2566 2023/04/02 23:25:46 - mmengine - INFO - Epoch(train) [47][ 200/5005] lr: 5.6267e-05 eta: 6:03:32 time: 0.0747 data_time: 0.0188 memory: 1684 loss: 1.1979 2023/04/02 23:25:55 - mmengine - INFO - Epoch(train) [47][ 300/5005] lr: 5.6267e-05 eta: 6:03:24 time: 0.1090 data_time: 0.0183 memory: 1684 loss: 1.4219 2023/04/02 23:26:03 - mmengine - INFO - Epoch(train) [47][ 400/5005] lr: 5.6267e-05 eta: 6:03:16 time: 0.0776 data_time: 0.0190 memory: 1684 loss: 1.1524 2023/04/02 23:26:11 - mmengine - INFO - Epoch(train) [47][ 500/5005] lr: 5.6267e-05 eta: 6:03:08 time: 0.0784 data_time: 0.0200 memory: 1684 loss: 1.4550 2023/04/02 23:26:19 - mmengine - INFO - Epoch(train) [47][ 600/5005] lr: 5.6267e-05 eta: 6:02:59 time: 0.0748 data_time: 0.0197 memory: 1684 loss: 1.2964 2023/04/02 23:26:27 - mmengine - INFO - Epoch(train) [47][ 700/5005] lr: 5.6267e-05 eta: 6:02:51 time: 0.0781 data_time: 0.0186 memory: 1684 loss: 1.1598 2023/04/02 23:26:33 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:26:35 - mmengine - INFO - Epoch(train) [47][ 800/5005] lr: 5.6267e-05 eta: 6:02:43 time: 0.0747 data_time: 0.0187 memory: 1684 loss: 1.3776 2023/04/02 23:26:43 - mmengine - INFO - Epoch(train) [47][ 900/5005] lr: 5.6267e-05 eta: 6:02:35 time: 0.0772 data_time: 0.0193 memory: 1684 loss: 1.4652 2023/04/02 23:26:51 - mmengine - INFO - Epoch(train) [47][1000/5005] lr: 5.6267e-05 eta: 6:02:27 time: 0.0799 data_time: 0.0178 memory: 1684 loss: 1.1976 2023/04/02 23:26:59 - mmengine - INFO - Epoch(train) [47][1100/5005] lr: 5.6267e-05 eta: 6:02:19 time: 0.0777 data_time: 0.0180 memory: 1684 loss: 1.2265 2023/04/02 23:27:08 - mmengine - INFO - Epoch(train) [47][1200/5005] lr: 5.6267e-05 eta: 6:02:11 time: 0.0758 data_time: 0.0188 memory: 1684 loss: 1.2541 2023/04/02 23:27:16 - mmengine - INFO - Epoch(train) [47][1300/5005] lr: 5.6267e-05 eta: 6:02:02 time: 0.0893 data_time: 0.0179 memory: 1684 loss: 1.2012 2023/04/02 23:27:24 - mmengine - INFO - Epoch(train) [47][1400/5005] lr: 5.6267e-05 eta: 6:01:54 time: 0.0811 data_time: 0.0181 memory: 1684 loss: 1.3310 2023/04/02 23:27:33 - mmengine - INFO - Epoch(train) [47][1500/5005] lr: 5.6267e-05 eta: 6:01:47 time: 0.0782 data_time: 0.0178 memory: 1684 loss: 1.4421 2023/04/02 23:27:41 - mmengine - INFO - Epoch(train) [47][1600/5005] lr: 5.6267e-05 eta: 6:01:39 time: 0.0763 data_time: 0.0184 memory: 1684 loss: 1.4801 2023/04/02 23:27:49 - mmengine - INFO - Epoch(train) [47][1700/5005] lr: 5.6267e-05 eta: 6:01:31 time: 0.0829 data_time: 0.0175 memory: 1684 loss: 1.1856 2023/04/02 23:27:54 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:27:57 - mmengine - INFO - Epoch(train) [47][1800/5005] lr: 5.6267e-05 eta: 6:01:23 time: 0.0898 data_time: 0.0180 memory: 1684 loss: 1.1318 2023/04/02 23:28:06 - mmengine - INFO - Epoch(train) [47][1900/5005] lr: 5.6267e-05 eta: 6:01:15 time: 0.0919 data_time: 0.0179 memory: 1684 loss: 1.4619 2023/04/02 23:28:14 - mmengine - INFO - Epoch(train) [47][2000/5005] lr: 5.6267e-05 eta: 6:01:08 time: 0.1033 data_time: 0.0186 memory: 1684 loss: 1.0419 2023/04/02 23:28:22 - mmengine - INFO - Epoch(train) [47][2100/5005] lr: 5.6267e-05 eta: 6:01:00 time: 0.0763 data_time: 0.0180 memory: 1684 loss: 1.1921 2023/04/02 23:28:31 - mmengine - INFO - Epoch(train) [47][2200/5005] lr: 5.6267e-05 eta: 6:00:52 time: 0.0777 data_time: 0.0178 memory: 1684 loss: 1.0425 2023/04/02 23:28:39 - mmengine - INFO - Epoch(train) [47][2300/5005] lr: 5.6267e-05 eta: 6:00:44 time: 0.1154 data_time: 0.0288 memory: 1684 loss: 1.1705 2023/04/02 23:28:47 - mmengine - INFO - Epoch(train) [47][2400/5005] lr: 5.6267e-05 eta: 6:00:36 time: 0.0783 data_time: 0.0184 memory: 1684 loss: 1.1197 2023/04/02 23:28:55 - mmengine - INFO - Epoch(train) [47][2500/5005] lr: 5.6267e-05 eta: 6:00:28 time: 0.0786 data_time: 0.0176 memory: 1684 loss: 1.2412 2023/04/02 23:29:04 - mmengine - INFO - Epoch(train) [47][2600/5005] lr: 5.6267e-05 eta: 6:00:20 time: 0.0866 data_time: 0.0178 memory: 1684 loss: 1.0849 2023/04/02 23:29:12 - mmengine - INFO - Epoch(train) [47][2700/5005] lr: 5.6267e-05 eta: 6:00:12 time: 0.0784 data_time: 0.0198 memory: 1684 loss: 1.1565 2023/04/02 23:29:18 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:29:20 - mmengine - INFO - Epoch(train) [47][2800/5005] lr: 5.6267e-05 eta: 6:00:04 time: 0.0783 data_time: 0.0174 memory: 1684 loss: 1.2660 2023/04/02 23:29:28 - mmengine - INFO - Epoch(train) [47][2900/5005] lr: 5.6267e-05 eta: 5:59:56 time: 0.0868 data_time: 0.0176 memory: 1684 loss: 1.1413 2023/04/02 23:29:36 - mmengine - INFO - Epoch(train) [47][3000/5005] lr: 5.6267e-05 eta: 5:59:48 time: 0.0783 data_time: 0.0175 memory: 1684 loss: 1.1708 2023/04/02 23:29:44 - mmengine - INFO - Epoch(train) [47][3100/5005] lr: 5.6267e-05 eta: 5:59:39 time: 0.0771 data_time: 0.0179 memory: 1684 loss: 1.4257 2023/04/02 23:29:53 - mmengine - INFO - Epoch(train) [47][3200/5005] lr: 5.6267e-05 eta: 5:59:32 time: 0.0810 data_time: 0.0177 memory: 1684 loss: 1.0988 2023/04/02 23:30:01 - mmengine - INFO - Epoch(train) [47][3300/5005] lr: 5.6267e-05 eta: 5:59:23 time: 0.0767 data_time: 0.0178 memory: 1684 loss: 0.9748 2023/04/02 23:30:09 - mmengine - INFO - Epoch(train) [47][3400/5005] lr: 5.6267e-05 eta: 5:59:15 time: 0.0949 data_time: 0.0176 memory: 1684 loss: 1.4144 2023/04/02 23:30:17 - mmengine - INFO - Epoch(train) [47][3500/5005] lr: 5.6267e-05 eta: 5:59:08 time: 0.0786 data_time: 0.0169 memory: 1684 loss: 1.2213 2023/04/02 23:30:26 - mmengine - INFO - Epoch(train) [47][3600/5005] lr: 5.6267e-05 eta: 5:59:00 time: 0.0838 data_time: 0.0246 memory: 1684 loss: 1.4014 2023/04/02 23:30:35 - mmengine - INFO - Epoch(train) [47][3700/5005] lr: 5.6267e-05 eta: 5:58:52 time: 0.0976 data_time: 0.0186 memory: 1684 loss: 1.1874 2023/04/02 23:30:40 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:30:43 - mmengine - INFO - Epoch(train) [47][3800/5005] lr: 5.6267e-05 eta: 5:58:44 time: 0.0878 data_time: 0.0177 memory: 1684 loss: 1.1458 2023/04/02 23:30:51 - mmengine - INFO - Epoch(train) [47][3900/5005] lr: 5.6267e-05 eta: 5:58:36 time: 0.0937 data_time: 0.0185 memory: 1684 loss: 1.1883 2023/04/02 23:30:59 - mmengine - INFO - Epoch(train) [47][4000/5005] lr: 5.6267e-05 eta: 5:58:28 time: 0.0869 data_time: 0.0179 memory: 1684 loss: 1.0941 2023/04/02 23:31:07 - mmengine - INFO - Epoch(train) [47][4100/5005] lr: 5.6267e-05 eta: 5:58:20 time: 0.0822 data_time: 0.0186 memory: 1684 loss: 1.1731 2023/04/02 23:31:15 - mmengine - INFO - Epoch(train) [47][4200/5005] lr: 5.6267e-05 eta: 5:58:12 time: 0.0797 data_time: 0.0189 memory: 1684 loss: 1.3430 2023/04/02 23:31:24 - mmengine - INFO - Epoch(train) [47][4300/5005] lr: 5.6267e-05 eta: 5:58:04 time: 0.0944 data_time: 0.0177 memory: 1684 loss: 1.2085 2023/04/02 23:31:32 - mmengine - INFO - Epoch(train) [47][4400/5005] lr: 5.6267e-05 eta: 5:57:56 time: 0.0779 data_time: 0.0178 memory: 1684 loss: 1.2874 2023/04/02 23:31:40 - mmengine - INFO - Epoch(train) [47][4500/5005] lr: 5.6267e-05 eta: 5:57:48 time: 0.0774 data_time: 0.0185 memory: 1684 loss: 1.1632 2023/04/02 23:31:49 - mmengine - INFO - Epoch(train) [47][4600/5005] lr: 5.6267e-05 eta: 5:57:41 time: 0.0902 data_time: 0.0318 memory: 1684 loss: 1.2715 2023/04/02 23:31:57 - mmengine - INFO - Epoch(train) [47][4700/5005] lr: 5.6267e-05 eta: 5:57:32 time: 0.0791 data_time: 0.0179 memory: 1684 loss: 1.3686 2023/04/02 23:32:02 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:32:05 - mmengine - INFO - Epoch(train) [47][4800/5005] lr: 5.6267e-05 eta: 5:57:24 time: 0.0867 data_time: 0.0179 memory: 1684 loss: 1.0661 2023/04/02 23:32:13 - mmengine - INFO - Epoch(train) [47][4900/5005] lr: 5.6267e-05 eta: 5:57:16 time: 0.0784 data_time: 0.0181 memory: 1684 loss: 1.3569 2023/04/02 23:32:21 - mmengine - INFO - Epoch(train) [47][5000/5005] lr: 5.6267e-05 eta: 5:57:08 time: 0.0765 data_time: 0.0186 memory: 1684 loss: 1.2555 2023/04/02 23:32:21 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:32:21 - mmengine - INFO - Saving checkpoint at 47 epochs 2023/04/02 23:32:27 - mmengine - INFO - Epoch(val) [47][100/196] eta: 0:00:03 time: 0.0333 data_time: 0.0083 memory: 1684 2023/04/02 23:32:40 - mmengine - INFO - Epoch(val) [47][196/196] qat.accuracy/top1: 69.7100 qat.accuracy/top5: 89.1560data_time: 0.0083 time: 0.0318 2023/04/02 23:32:44 - mmengine - INFO - Epoch(val) [47][100/196] eta: 0:00:03 time: 0.0347 data_time: 0.0083 memory: 513 2023/04/02 23:32:57 - mmengine - INFO - Epoch(val) [47][196/196] qat.accuracy/top1: 69.6180 qat.accuracy/top5: 89.0820data_time: 0.0067 time: 0.0326 2023/04/02 23:33:00 - mmengine - INFO - Epoch(val) [47][100/196] eta: 0:00:02 time: 0.0236 data_time: 0.0131 memory: 470 2023/04/02 23:33:13 - mmengine - INFO - Epoch(val) [47][196/196] original.accuracy/top1: 69.5480 original.accuracy/top5: 89.1440data_time: 0.0313 time: 0.0412 2023/04/02 23:33:22 - mmengine - INFO - Epoch(train) [48][ 100/5005] lr: 5.4705e-05 eta: 5:57:00 time: 0.0799 data_time: 0.0183 memory: 1735 loss: 1.1400 2023/04/02 23:33:30 - mmengine - INFO - Epoch(train) [48][ 200/5005] lr: 5.4705e-05 eta: 5:56:52 time: 0.0856 data_time: 0.0173 memory: 1735 loss: 1.1710 2023/04/02 23:33:38 - mmengine - INFO - Epoch(train) [48][ 300/5005] lr: 5.4705e-05 eta: 5:56:44 time: 0.0773 data_time: 0.0180 memory: 1735 loss: 1.3768 2023/04/02 23:33:46 - mmengine - INFO - Epoch(train) [48][ 400/5005] lr: 5.4705e-05 eta: 5:56:36 time: 0.0784 data_time: 0.0188 memory: 1735 loss: 1.1710 2023/04/02 23:33:54 - mmengine - INFO - Epoch(train) [48][ 500/5005] lr: 5.4705e-05 eta: 5:56:28 time: 0.0788 data_time: 0.0191 memory: 1735 loss: 1.2369 2023/04/02 23:34:02 - mmengine - INFO - Epoch(train) [48][ 600/5005] lr: 5.4705e-05 eta: 5:56:20 time: 0.0798 data_time: 0.0174 memory: 1735 loss: 1.0734 2023/04/02 23:34:11 - mmengine - INFO - Epoch(train) [48][ 700/5005] lr: 5.4705e-05 eta: 5:56:12 time: 0.0791 data_time: 0.0171 memory: 1735 loss: 0.9611 2023/04/02 23:34:16 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:34:19 - mmengine - INFO - Epoch(train) [48][ 800/5005] lr: 5.4705e-05 eta: 5:56:03 time: 0.0797 data_time: 0.0184 memory: 1735 loss: 1.2942 2023/04/02 23:34:27 - mmengine - INFO - Epoch(train) [48][ 900/5005] lr: 5.4705e-05 eta: 5:55:55 time: 0.0785 data_time: 0.0191 memory: 1735 loss: 1.4496 2023/04/02 23:34:35 - mmengine - INFO - Epoch(train) [48][1000/5005] lr: 5.4705e-05 eta: 5:55:47 time: 0.0766 data_time: 0.0187 memory: 1735 loss: 1.2976 2023/04/02 23:34:43 - mmengine - INFO - Epoch(train) [48][1100/5005] lr: 5.4705e-05 eta: 5:55:39 time: 0.0881 data_time: 0.0182 memory: 1684 loss: 1.3028 2023/04/02 23:34:51 - mmengine - INFO - Epoch(train) [48][1200/5005] lr: 5.4705e-05 eta: 5:55:31 time: 0.0794 data_time: 0.0179 memory: 1684 loss: 1.2927 2023/04/02 23:34:59 - mmengine - INFO - Epoch(train) [48][1300/5005] lr: 5.4705e-05 eta: 5:55:23 time: 0.0799 data_time: 0.0184 memory: 1684 loss: 1.2470 2023/04/02 23:35:08 - mmengine - INFO - Epoch(train) [48][1400/5005] lr: 5.4705e-05 eta: 5:55:15 time: 0.0784 data_time: 0.0181 memory: 1684 loss: 1.3180 2023/04/02 23:35:16 - mmengine - INFO - Epoch(train) [48][1500/5005] lr: 5.4705e-05 eta: 5:55:07 time: 0.0815 data_time: 0.0179 memory: 1684 loss: 1.0588 2023/04/02 23:35:24 - mmengine - INFO - Epoch(train) [48][1600/5005] lr: 5.4705e-05 eta: 5:54:59 time: 0.0784 data_time: 0.0183 memory: 1684 loss: 1.0993 2023/04/02 23:35:32 - mmengine - INFO - Epoch(train) [48][1700/5005] lr: 5.4705e-05 eta: 5:54:51 time: 0.0773 data_time: 0.0184 memory: 1684 loss: 1.2697 2023/04/02 23:35:37 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:35:40 - mmengine - INFO - Epoch(train) [48][1800/5005] lr: 5.4705e-05 eta: 5:54:43 time: 0.0893 data_time: 0.0189 memory: 1684 loss: 1.4630 2023/04/02 23:35:48 - mmengine - INFO - Epoch(train) [48][1900/5005] lr: 5.4705e-05 eta: 5:54:35 time: 0.0794 data_time: 0.0182 memory: 1684 loss: 1.0950 2023/04/02 23:35:56 - mmengine - INFO - Epoch(train) [48][2000/5005] lr: 5.4705e-05 eta: 5:54:26 time: 0.0783 data_time: 0.0179 memory: 1684 loss: 1.2526 2023/04/02 23:36:05 - mmengine - INFO - Epoch(train) [48][2100/5005] lr: 5.4705e-05 eta: 5:54:18 time: 0.0890 data_time: 0.0298 memory: 1684 loss: 1.4579 2023/04/02 23:36:13 - mmengine - INFO - Epoch(train) [48][2200/5005] lr: 5.4705e-05 eta: 5:54:11 time: 0.0880 data_time: 0.0187 memory: 1684 loss: 1.2085 2023/04/02 23:36:21 - mmengine - INFO - Epoch(train) [48][2300/5005] lr: 5.4705e-05 eta: 5:54:03 time: 0.0794 data_time: 0.0178 memory: 1684 loss: 1.2198 2023/04/02 23:36:30 - mmengine - INFO - Epoch(train) [48][2400/5005] lr: 5.4705e-05 eta: 5:53:55 time: 0.0777 data_time: 0.0178 memory: 1684 loss: 1.2365 2023/04/02 23:36:38 - mmengine - INFO - Epoch(train) [48][2500/5005] lr: 5.4705e-05 eta: 5:53:47 time: 0.0884 data_time: 0.0291 memory: 1684 loss: 1.2143 2023/04/02 23:36:46 - mmengine - INFO - Epoch(train) [48][2600/5005] lr: 5.4705e-05 eta: 5:53:39 time: 0.0773 data_time: 0.0177 memory: 1684 loss: 1.2500 2023/04/02 23:36:54 - mmengine - INFO - Epoch(train) [48][2700/5005] lr: 5.4705e-05 eta: 5:53:31 time: 0.0762 data_time: 0.0183 memory: 1684 loss: 1.2908 2023/04/02 23:37:00 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:37:03 - mmengine - INFO - Epoch(train) [48][2800/5005] lr: 5.4705e-05 eta: 5:53:23 time: 0.0871 data_time: 0.0177 memory: 1684 loss: 1.3009 2023/04/02 23:37:11 - mmengine - INFO - Epoch(train) [48][2900/5005] lr: 5.4705e-05 eta: 5:53:15 time: 0.0778 data_time: 0.0181 memory: 1684 loss: 1.0782 2023/04/02 23:37:19 - mmengine - INFO - Epoch(train) [48][3000/5005] lr: 5.4705e-05 eta: 5:53:07 time: 0.0814 data_time: 0.0193 memory: 1684 loss: 1.2010 2023/04/02 23:37:27 - mmengine - INFO - Epoch(train) [48][3100/5005] lr: 5.4705e-05 eta: 5:52:59 time: 0.0861 data_time: 0.0182 memory: 1684 loss: 1.2974 2023/04/02 23:37:36 - mmengine - INFO - Epoch(train) [48][3200/5005] lr: 5.4705e-05 eta: 5:52:51 time: 0.0817 data_time: 0.0192 memory: 1684 loss: 1.1155 2023/04/02 23:37:44 - mmengine - INFO - Epoch(train) [48][3300/5005] lr: 5.4705e-05 eta: 5:52:43 time: 0.0927 data_time: 0.0196 memory: 1684 loss: 1.1369 2023/04/02 23:37:52 - mmengine - INFO - Epoch(train) [48][3400/5005] lr: 5.4705e-05 eta: 5:52:35 time: 0.0759 data_time: 0.0178 memory: 1684 loss: 1.1646 2023/04/02 23:38:00 - mmengine - INFO - Epoch(train) [48][3500/5005] lr: 5.4705e-05 eta: 5:52:27 time: 0.0775 data_time: 0.0197 memory: 1684 loss: 1.4332 2023/04/02 23:38:08 - mmengine - INFO - Epoch(train) [48][3600/5005] lr: 5.4705e-05 eta: 5:52:19 time: 0.0781 data_time: 0.0179 memory: 1684 loss: 1.2202 2023/04/02 23:38:16 - mmengine - INFO - Epoch(train) [48][3700/5005] lr: 5.4705e-05 eta: 5:52:11 time: 0.0799 data_time: 0.0185 memory: 1684 loss: 1.1695 2023/04/02 23:38:22 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:38:25 - mmengine - INFO - Epoch(train) [48][3800/5005] lr: 5.4705e-05 eta: 5:52:03 time: 0.0791 data_time: 0.0189 memory: 1684 loss: 1.1573 2023/04/02 23:38:33 - mmengine - INFO - Epoch(train) [48][3900/5005] lr: 5.4705e-05 eta: 5:51:55 time: 0.0913 data_time: 0.0186 memory: 1684 loss: 1.1191 2023/04/02 23:38:41 - mmengine - INFO - Epoch(train) [48][4000/5005] lr: 5.4705e-05 eta: 5:51:47 time: 0.0806 data_time: 0.0205 memory: 1684 loss: 1.1619 2023/04/02 23:38:49 - mmengine - INFO - Epoch(train) [48][4100/5005] lr: 5.4705e-05 eta: 5:51:38 time: 0.0751 data_time: 0.0185 memory: 1684 loss: 1.3193 2023/04/02 23:38:57 - mmengine - INFO - Epoch(train) [48][4200/5005] lr: 5.4705e-05 eta: 5:51:30 time: 0.0788 data_time: 0.0183 memory: 1684 loss: 1.0870 2023/04/02 23:39:05 - mmengine - INFO - Epoch(train) [48][4300/5005] lr: 5.4705e-05 eta: 5:51:22 time: 0.0778 data_time: 0.0177 memory: 1684 loss: 1.2106 2023/04/02 23:39:13 - mmengine - INFO - Epoch(train) [48][4400/5005] lr: 5.4705e-05 eta: 5:51:14 time: 0.0823 data_time: 0.0180 memory: 1684 loss: 1.2880 2023/04/02 23:39:22 - mmengine - INFO - Epoch(train) [48][4500/5005] lr: 5.4705e-05 eta: 5:51:06 time: 0.0913 data_time: 0.0329 memory: 1684 loss: 1.2786 2023/04/02 23:39:30 - mmengine - INFO - Epoch(train) [48][4600/5005] lr: 5.4705e-05 eta: 5:50:58 time: 0.0797 data_time: 0.0181 memory: 1684 loss: 1.3167 2023/04/02 23:39:38 - mmengine - INFO - Epoch(train) [48][4700/5005] lr: 5.4705e-05 eta: 5:50:50 time: 0.0799 data_time: 0.0181 memory: 1684 loss: 1.2959 2023/04/02 23:39:43 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:39:46 - mmengine - INFO - Epoch(train) [48][4800/5005] lr: 5.4705e-05 eta: 5:50:42 time: 0.0805 data_time: 0.0187 memory: 1684 loss: 1.1788 2023/04/02 23:39:54 - mmengine - INFO - Epoch(train) [48][4900/5005] lr: 5.4705e-05 eta: 5:50:34 time: 0.0761 data_time: 0.0182 memory: 1684 loss: 1.3087 2023/04/02 23:40:02 - mmengine - INFO - Epoch(train) [48][5000/5005] lr: 5.4705e-05 eta: 5:50:26 time: 0.0806 data_time: 0.0187 memory: 1684 loss: 1.2279 2023/04/02 23:40:03 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:40:03 - mmengine - INFO - Saving checkpoint at 48 epochs 2023/04/02 23:40:09 - mmengine - INFO - Epoch(val) [48][100/196] eta: 0:00:04 time: 0.0329 data_time: 0.0078 memory: 1684 2023/04/02 23:40:21 - mmengine - INFO - Epoch(val) [48][196/196] qat.accuracy/top1: 69.6780 qat.accuracy/top5: 89.1540data_time: 0.0070 time: 0.0307 2023/04/02 23:40:26 - mmengine - INFO - Epoch(val) [48][100/196] eta: 0:00:03 time: 0.0364 data_time: 0.0079 memory: 513 2023/04/02 23:40:39 - mmengine - INFO - Epoch(val) [48][196/196] qat.accuracy/top1: 69.6700 qat.accuracy/top5: 89.1740data_time: 0.0069 time: 0.0340 2023/04/02 23:40:42 - mmengine - INFO - Epoch(val) [48][100/196] eta: 0:00:02 time: 0.0288 data_time: 0.0180 memory: 470 2023/04/02 23:40:54 - mmengine - INFO - Epoch(val) [48][196/196] original.accuracy/top1: 69.6400 original.accuracy/top5: 89.1880data_time: 0.0297 time: 0.0394 2023/04/02 23:41:04 - mmengine - INFO - Epoch(train) [49][ 100/5005] lr: 5.3140e-05 eta: 5:50:19 time: 0.0826 data_time: 0.0187 memory: 1735 loss: 1.2962 2023/04/02 23:41:12 - mmengine - INFO - Epoch(train) [49][ 200/5005] lr: 5.3140e-05 eta: 5:50:11 time: 0.0842 data_time: 0.0166 memory: 1735 loss: 1.3406 2023/04/02 23:41:20 - mmengine - INFO - Epoch(train) [49][ 300/5005] lr: 5.3140e-05 eta: 5:50:03 time: 0.0780 data_time: 0.0172 memory: 1735 loss: 1.1990 2023/04/02 23:41:28 - mmengine - INFO - Epoch(train) [49][ 400/5005] lr: 5.3140e-05 eta: 5:49:55 time: 0.0762 data_time: 0.0177 memory: 1735 loss: 1.3275 2023/04/02 23:41:36 - mmengine - INFO - Epoch(train) [49][ 500/5005] lr: 5.3140e-05 eta: 5:49:47 time: 0.0768 data_time: 0.0177 memory: 1735 loss: 1.2279 2023/04/02 23:41:45 - mmengine - INFO - Epoch(train) [49][ 600/5005] lr: 5.3140e-05 eta: 5:49:39 time: 0.0773 data_time: 0.0177 memory: 1684 loss: 1.1566 2023/04/02 23:41:53 - mmengine - INFO - Epoch(train) [49][ 700/5005] lr: 5.3140e-05 eta: 5:49:31 time: 0.0761 data_time: 0.0175 memory: 1684 loss: 1.1936 2023/04/02 23:41:58 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:42:01 - mmengine - INFO - Epoch(train) [49][ 800/5005] lr: 5.3140e-05 eta: 5:49:23 time: 0.0881 data_time: 0.0173 memory: 1684 loss: 1.1635 2023/04/02 23:42:10 - mmengine - INFO - Epoch(train) [49][ 900/5005] lr: 5.3140e-05 eta: 5:49:15 time: 0.0825 data_time: 0.0174 memory: 1684 loss: 1.1527 2023/04/02 23:42:18 - mmengine - INFO - Epoch(train) [49][1000/5005] lr: 5.3140e-05 eta: 5:49:07 time: 0.0941 data_time: 0.0176 memory: 1684 loss: 1.2549 2023/04/02 23:42:26 - mmengine - INFO - Epoch(train) [49][1100/5005] lr: 5.3140e-05 eta: 5:48:59 time: 0.0822 data_time: 0.0181 memory: 1684 loss: 1.1689 2023/04/02 23:42:35 - mmengine - INFO - Epoch(train) [49][1200/5005] lr: 5.3140e-05 eta: 5:48:51 time: 0.0883 data_time: 0.0173 memory: 1684 loss: 1.1433 2023/04/02 23:42:43 - mmengine - INFO - Epoch(train) [49][1300/5005] lr: 5.3140e-05 eta: 5:48:44 time: 0.0956 data_time: 0.0182 memory: 1684 loss: 1.2678 2023/04/02 23:42:51 - mmengine - INFO - Epoch(train) [49][1400/5005] lr: 5.3140e-05 eta: 5:48:35 time: 0.0799 data_time: 0.0181 memory: 1684 loss: 1.1779 2023/04/02 23:42:59 - mmengine - INFO - Epoch(train) [49][1500/5005] lr: 5.3140e-05 eta: 5:48:27 time: 0.0769 data_time: 0.0184 memory: 1684 loss: 1.1338 2023/04/02 23:43:07 - mmengine - INFO - Epoch(train) [49][1600/5005] lr: 5.3140e-05 eta: 5:48:19 time: 0.0780 data_time: 0.0172 memory: 1684 loss: 1.4283 2023/04/02 23:43:15 - mmengine - INFO - Epoch(train) [49][1700/5005] lr: 5.3140e-05 eta: 5:48:11 time: 0.0761 data_time: 0.0178 memory: 1684 loss: 1.2658 2023/04/02 23:43:20 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:43:23 - mmengine - INFO - Epoch(train) [49][1800/5005] lr: 5.3140e-05 eta: 5:48:03 time: 0.0860 data_time: 0.0270 memory: 1684 loss: 1.2504 2023/04/02 23:43:32 - mmengine - INFO - Epoch(train) [49][1900/5005] lr: 5.3140e-05 eta: 5:47:55 time: 0.0793 data_time: 0.0191 memory: 1684 loss: 1.4359 2023/04/02 23:43:39 - mmengine - INFO - Epoch(train) [49][2000/5005] lr: 5.3140e-05 eta: 5:47:46 time: 0.0773 data_time: 0.0181 memory: 1684 loss: 1.2980 2023/04/02 23:43:47 - mmengine - INFO - Epoch(train) [49][2100/5005] lr: 5.3140e-05 eta: 5:47:38 time: 0.0775 data_time: 0.0182 memory: 1684 loss: 1.1485 2023/04/02 23:43:56 - mmengine - INFO - Epoch(train) [49][2200/5005] lr: 5.3140e-05 eta: 5:47:30 time: 0.0857 data_time: 0.0182 memory: 1684 loss: 1.3478 2023/04/02 23:44:04 - mmengine - INFO - Epoch(train) [49][2300/5005] lr: 5.3140e-05 eta: 5:47:22 time: 0.0776 data_time: 0.0187 memory: 1684 loss: 1.1122 2023/04/02 23:44:12 - mmengine - INFO - Epoch(train) [49][2400/5005] lr: 5.3140e-05 eta: 5:47:14 time: 0.0779 data_time: 0.0183 memory: 1684 loss: 1.2059 2023/04/02 23:44:20 - mmengine - INFO - Epoch(train) [49][2500/5005] lr: 5.3140e-05 eta: 5:47:05 time: 0.0789 data_time: 0.0181 memory: 1684 loss: 1.1004 2023/04/02 23:44:28 - mmengine - INFO - Epoch(train) [49][2600/5005] lr: 5.3140e-05 eta: 5:46:57 time: 0.0787 data_time: 0.0183 memory: 1684 loss: 1.3290 2023/04/02 23:44:36 - mmengine - INFO - Epoch(train) [49][2700/5005] lr: 5.3140e-05 eta: 5:46:49 time: 0.0815 data_time: 0.0180 memory: 1684 loss: 1.0251 2023/04/02 23:44:41 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:44:44 - mmengine - INFO - Epoch(train) [49][2800/5005] lr: 5.3140e-05 eta: 5:46:41 time: 0.0762 data_time: 0.0185 memory: 1684 loss: 1.2126 2023/04/02 23:44:52 - mmengine - INFO - Epoch(train) [49][2900/5005] lr: 5.3140e-05 eta: 5:46:33 time: 0.0744 data_time: 0.0184 memory: 1684 loss: 1.1710 2023/04/02 23:45:00 - mmengine - INFO - Epoch(train) [49][3000/5005] lr: 5.3140e-05 eta: 5:46:25 time: 0.0758 data_time: 0.0188 memory: 1684 loss: 1.0480 2023/04/02 23:45:08 - mmengine - INFO - Epoch(train) [49][3100/5005] lr: 5.3140e-05 eta: 5:46:16 time: 0.0780 data_time: 0.0184 memory: 1684 loss: 1.4319 2023/04/02 23:45:16 - mmengine - INFO - Epoch(train) [49][3200/5005] lr: 5.3140e-05 eta: 5:46:08 time: 0.0754 data_time: 0.0183 memory: 1684 loss: 1.2793 2023/04/02 23:45:24 - mmengine - INFO - Epoch(train) [49][3300/5005] lr: 5.3140e-05 eta: 5:46:00 time: 0.0803 data_time: 0.0203 memory: 1684 loss: 1.2417 2023/04/02 23:45:33 - mmengine - INFO - Epoch(train) [49][3400/5005] lr: 5.3140e-05 eta: 5:45:52 time: 0.0779 data_time: 0.0199 memory: 1684 loss: 1.2958 2023/04/02 23:45:41 - mmengine - INFO - Epoch(train) [49][3500/5005] lr: 5.3140e-05 eta: 5:45:44 time: 0.0812 data_time: 0.0188 memory: 1684 loss: 1.0907 2023/04/02 23:45:49 - mmengine - INFO - Epoch(train) [49][3600/5005] lr: 5.3140e-05 eta: 5:45:36 time: 0.0783 data_time: 0.0189 memory: 1684 loss: 1.2064 2023/04/02 23:45:57 - mmengine - INFO - Epoch(train) [49][3700/5005] lr: 5.3140e-05 eta: 5:45:28 time: 0.0789 data_time: 0.0180 memory: 1684 loss: 1.1261 2023/04/02 23:46:02 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:46:05 - mmengine - INFO - Epoch(train) [49][3800/5005] lr: 5.3140e-05 eta: 5:45:20 time: 0.0843 data_time: 0.0242 memory: 1684 loss: 1.2181 2023/04/02 23:46:14 - mmengine - INFO - Epoch(train) [49][3900/5005] lr: 5.3140e-05 eta: 5:45:12 time: 0.0778 data_time: 0.0176 memory: 1684 loss: 1.3074 2023/04/02 23:46:22 - mmengine - INFO - Epoch(train) [49][4000/5005] lr: 5.3140e-05 eta: 5:45:04 time: 0.0774 data_time: 0.0178 memory: 1684 loss: 1.1300 2023/04/02 23:46:30 - mmengine - INFO - Epoch(train) [49][4100/5005] lr: 5.3140e-05 eta: 5:44:56 time: 0.0782 data_time: 0.0183 memory: 1684 loss: 1.1576 2023/04/02 23:46:38 - mmengine - INFO - Epoch(train) [49][4200/5005] lr: 5.3140e-05 eta: 5:44:48 time: 0.0883 data_time: 0.0187 memory: 1684 loss: 1.2803 2023/04/02 23:46:46 - mmengine - INFO - Epoch(train) [49][4300/5005] lr: 5.3140e-05 eta: 5:44:39 time: 0.0767 data_time: 0.0180 memory: 1684 loss: 1.2434 2023/04/02 23:46:54 - mmengine - INFO - Epoch(train) [49][4400/5005] lr: 5.3140e-05 eta: 5:44:31 time: 0.0780 data_time: 0.0180 memory: 1684 loss: 1.3153 2023/04/02 23:47:02 - mmengine - INFO - Epoch(train) [49][4500/5005] lr: 5.3140e-05 eta: 5:44:23 time: 0.0754 data_time: 0.0190 memory: 1684 loss: 1.3693 2023/04/02 23:47:10 - mmengine - INFO - Epoch(train) [49][4600/5005] lr: 5.3140e-05 eta: 5:44:15 time: 0.0883 data_time: 0.0178 memory: 1684 loss: 1.3651 2023/04/02 23:47:18 - mmengine - INFO - Epoch(train) [49][4700/5005] lr: 5.3140e-05 eta: 5:44:06 time: 0.0758 data_time: 0.0179 memory: 1684 loss: 1.3167 2023/04/02 23:47:23 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:47:26 - mmengine - INFO - Epoch(train) [49][4800/5005] lr: 5.3140e-05 eta: 5:43:58 time: 0.0790 data_time: 0.0177 memory: 1684 loss: 1.1759 2023/04/02 23:47:34 - mmengine - INFO - Epoch(train) [49][4900/5005] lr: 5.3140e-05 eta: 5:43:50 time: 0.0862 data_time: 0.0184 memory: 1684 loss: 1.3408 2023/04/02 23:47:43 - mmengine - INFO - Epoch(train) [49][5000/5005] lr: 5.3140e-05 eta: 5:43:42 time: 0.0890 data_time: 0.0186 memory: 1684 loss: 1.2831 2023/04/02 23:47:43 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:47:43 - mmengine - INFO - Saving checkpoint at 49 epochs 2023/04/02 23:47:49 - mmengine - INFO - Epoch(val) [49][100/196] eta: 0:00:04 time: 0.0342 data_time: 0.0079 memory: 1684 2023/04/02 23:48:02 - mmengine - INFO - Epoch(val) [49][196/196] qat.accuracy/top1: 69.8220 qat.accuracy/top5: 89.2560data_time: 0.0121 time: 0.0358 2023/04/02 23:48:06 - mmengine - INFO - Epoch(val) [49][100/196] eta: 0:00:03 time: 0.0359 data_time: 0.0076 memory: 513 2023/04/02 23:48:19 - mmengine - INFO - Epoch(val) [49][196/196] qat.accuracy/top1: 69.6960 qat.accuracy/top5: 89.2360data_time: 0.0068 time: 0.0337 2023/04/02 23:48:22 - mmengine - INFO - Epoch(val) [49][100/196] eta: 0:00:02 time: 0.0239 data_time: 0.0133 memory: 470 2023/04/02 23:48:34 - mmengine - INFO - Epoch(val) [49][196/196] original.accuracy/top1: 69.7180 original.accuracy/top5: 89.1920data_time: 0.0343 time: 0.0439 2023/04/02 23:48:44 - mmengine - INFO - Epoch(train) [50][ 100/5005] lr: 5.1571e-05 eta: 5:43:36 time: 0.1004 data_time: 0.0314 memory: 1735 loss: 1.1127 2023/04/02 23:48:53 - mmengine - INFO - Epoch(train) [50][ 200/5005] lr: 5.1571e-05 eta: 5:43:28 time: 0.0816 data_time: 0.0184 memory: 1684 loss: 1.2922 2023/04/02 23:49:01 - mmengine - INFO - Epoch(train) [50][ 300/5005] lr: 5.1571e-05 eta: 5:43:21 time: 0.1107 data_time: 0.0179 memory: 1684 loss: 1.2220 2023/04/02 23:49:10 - mmengine - INFO - Epoch(train) [50][ 400/5005] lr: 5.1571e-05 eta: 5:43:13 time: 0.0925 data_time: 0.0193 memory: 1684 loss: 1.2926 2023/04/02 23:49:18 - mmengine - INFO - Epoch(train) [50][ 500/5005] lr: 5.1571e-05 eta: 5:43:05 time: 0.0764 data_time: 0.0183 memory: 1684 loss: 1.2031 2023/04/02 23:49:26 - mmengine - INFO - Epoch(train) [50][ 600/5005] lr: 5.1571e-05 eta: 5:42:56 time: 0.0755 data_time: 0.0184 memory: 1684 loss: 1.1061 2023/04/02 23:49:34 - mmengine - INFO - Epoch(train) [50][ 700/5005] lr: 5.1571e-05 eta: 5:42:48 time: 0.0784 data_time: 0.0179 memory: 1684 loss: 1.3355 2023/04/02 23:49:38 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:49:42 - mmengine - INFO - Epoch(train) [50][ 800/5005] lr: 5.1571e-05 eta: 5:42:40 time: 0.0775 data_time: 0.0192 memory: 1684 loss: 1.1436 2023/04/02 23:49:50 - mmengine - INFO - Epoch(train) [50][ 900/5005] lr: 5.1571e-05 eta: 5:42:32 time: 0.0763 data_time: 0.0181 memory: 1684 loss: 1.2674 2023/04/02 23:49:58 - mmengine - INFO - Epoch(train) [50][1000/5005] lr: 5.1571e-05 eta: 5:42:24 time: 0.0794 data_time: 0.0192 memory: 1684 loss: 1.3557 2023/04/02 23:50:06 - mmengine - INFO - Epoch(train) [50][1100/5005] lr: 5.1571e-05 eta: 5:42:16 time: 0.0839 data_time: 0.0194 memory: 1684 loss: 0.9984 2023/04/02 23:50:14 - mmengine - INFO - Epoch(train) [50][1200/5005] lr: 5.1571e-05 eta: 5:42:08 time: 0.0776 data_time: 0.0175 memory: 1684 loss: 1.4842 2023/04/02 23:50:22 - mmengine - INFO - Epoch(train) [50][1300/5005] lr: 5.1571e-05 eta: 5:41:59 time: 0.0771 data_time: 0.0174 memory: 1684 loss: 1.1749 2023/04/02 23:50:30 - mmengine - INFO - Epoch(train) [50][1400/5005] lr: 5.1571e-05 eta: 5:41:51 time: 0.0893 data_time: 0.0179 memory: 1684 loss: 1.2006 2023/04/02 23:50:39 - mmengine - INFO - Epoch(train) [50][1500/5005] lr: 5.1571e-05 eta: 5:41:43 time: 0.0808 data_time: 0.0190 memory: 1684 loss: 1.4714 2023/04/02 23:50:46 - mmengine - INFO - Epoch(train) [50][1600/5005] lr: 5.1571e-05 eta: 5:41:35 time: 0.0815 data_time: 0.0174 memory: 1684 loss: 1.1381 2023/04/02 23:50:55 - mmengine - INFO - Epoch(train) [50][1700/5005] lr: 5.1571e-05 eta: 5:41:27 time: 0.0846 data_time: 0.0174 memory: 1684 loss: 1.2050 2023/04/02 23:50:59 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:51:03 - mmengine - INFO - Epoch(train) [50][1800/5005] lr: 5.1571e-05 eta: 5:41:19 time: 0.0765 data_time: 0.0176 memory: 1684 loss: 1.1886 2023/04/02 23:51:11 - mmengine - INFO - Epoch(train) [50][1900/5005] lr: 5.1571e-05 eta: 5:41:11 time: 0.0778 data_time: 0.0173 memory: 1684 loss: 1.1456 2023/04/02 23:51:19 - mmengine - INFO - Epoch(train) [50][2000/5005] lr: 5.1571e-05 eta: 5:41:02 time: 0.0883 data_time: 0.0176 memory: 1684 loss: 1.3504 2023/04/02 23:51:27 - mmengine - INFO - Epoch(train) [50][2100/5005] lr: 5.1571e-05 eta: 5:40:54 time: 0.0795 data_time: 0.0174 memory: 1684 loss: 1.3604 2023/04/02 23:51:35 - mmengine - INFO - Epoch(train) [50][2200/5005] lr: 5.1571e-05 eta: 5:40:46 time: 0.0962 data_time: 0.0174 memory: 1684 loss: 1.1821 2023/04/02 23:51:43 - mmengine - INFO - Epoch(train) [50][2300/5005] lr: 5.1571e-05 eta: 5:40:38 time: 0.0772 data_time: 0.0177 memory: 1684 loss: 1.1707 2023/04/02 23:51:52 - mmengine - INFO - Epoch(train) [50][2400/5005] lr: 5.1571e-05 eta: 5:40:30 time: 0.0808 data_time: 0.0178 memory: 1684 loss: 1.3141 2023/04/02 23:52:00 - mmengine - INFO - Epoch(train) [50][2500/5005] lr: 5.1571e-05 eta: 5:40:22 time: 0.0765 data_time: 0.0174 memory: 1684 loss: 1.2175 2023/04/02 23:52:09 - mmengine - INFO - Epoch(train) [50][2600/5005] lr: 5.1571e-05 eta: 5:40:15 time: 0.0950 data_time: 0.0182 memory: 1684 loss: 1.1838 2023/04/02 23:52:17 - mmengine - INFO - Epoch(train) [50][2700/5005] lr: 5.1571e-05 eta: 5:40:07 time: 0.0947 data_time: 0.0177 memory: 1684 loss: 1.0775 2023/04/02 23:52:22 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:52:26 - mmengine - INFO - Epoch(train) [50][2800/5005] lr: 5.1571e-05 eta: 5:39:59 time: 0.0798 data_time: 0.0178 memory: 1684 loss: 1.2623 2023/04/02 23:52:34 - mmengine - INFO - Epoch(train) [50][2900/5005] lr: 5.1571e-05 eta: 5:39:51 time: 0.0825 data_time: 0.0196 memory: 1684 loss: 1.0407 2023/04/02 23:52:42 - mmengine - INFO - Epoch(train) [50][3000/5005] lr: 5.1571e-05 eta: 5:39:44 time: 0.0766 data_time: 0.0179 memory: 1684 loss: 1.1732 2023/04/02 23:52:50 - mmengine - INFO - Epoch(train) [50][3100/5005] lr: 5.1571e-05 eta: 5:39:35 time: 0.0767 data_time: 0.0180 memory: 1684 loss: 1.2666 2023/04/02 23:52:58 - mmengine - INFO - Epoch(train) [50][3200/5005] lr: 5.1571e-05 eta: 5:39:27 time: 0.0757 data_time: 0.0178 memory: 1684 loss: 1.2500 2023/04/02 23:53:06 - mmengine - INFO - Epoch(train) [50][3300/5005] lr: 5.1571e-05 eta: 5:39:19 time: 0.0776 data_time: 0.0175 memory: 1684 loss: 1.0396 2023/04/02 23:53:14 - mmengine - INFO - Epoch(train) [50][3400/5005] lr: 5.1571e-05 eta: 5:39:11 time: 0.0915 data_time: 0.0279 memory: 1684 loss: 1.0427 2023/04/02 23:53:22 - mmengine - INFO - Epoch(train) [50][3500/5005] lr: 5.1571e-05 eta: 5:39:02 time: 0.0794 data_time: 0.0179 memory: 1684 loss: 1.0980 2023/04/02 23:53:30 - mmengine - INFO - Epoch(train) [50][3600/5005] lr: 5.1571e-05 eta: 5:38:54 time: 0.0764 data_time: 0.0180 memory: 1684 loss: 1.2863 2023/04/02 23:53:38 - mmengine - INFO - Epoch(train) [50][3700/5005] lr: 5.1571e-05 eta: 5:38:46 time: 0.0785 data_time: 0.0183 memory: 1684 loss: 1.3634 2023/04/02 23:53:43 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:53:47 - mmengine - INFO - Epoch(train) [50][3800/5005] lr: 5.1571e-05 eta: 5:38:38 time: 0.0785 data_time: 0.0177 memory: 1684 loss: 1.3340 2023/04/02 23:53:55 - mmengine - INFO - Epoch(train) [50][3900/5005] lr: 5.1571e-05 eta: 5:38:30 time: 0.0770 data_time: 0.0180 memory: 1684 loss: 1.2344 2023/04/02 23:54:03 - mmengine - INFO - Epoch(train) [50][4000/5005] lr: 5.1571e-05 eta: 5:38:21 time: 0.0793 data_time: 0.0187 memory: 1684 loss: 1.0482 2023/04/02 23:54:11 - mmengine - INFO - Epoch(train) [50][4100/5005] lr: 5.1571e-05 eta: 5:38:13 time: 0.0776 data_time: 0.0176 memory: 1684 loss: 1.2993 2023/04/02 23:54:19 - mmengine - INFO - Epoch(train) [50][4200/5005] lr: 5.1571e-05 eta: 5:38:05 time: 0.0777 data_time: 0.0178 memory: 1684 loss: 1.4139 2023/04/02 23:54:27 - mmengine - INFO - Epoch(train) [50][4300/5005] lr: 5.1571e-05 eta: 5:37:57 time: 0.0771 data_time: 0.0183 memory: 1684 loss: 1.1754 2023/04/02 23:54:35 - mmengine - INFO - Epoch(train) [50][4400/5005] lr: 5.1571e-05 eta: 5:37:49 time: 0.0778 data_time: 0.0185 memory: 1684 loss: 1.2679 2023/04/02 23:54:44 - mmengine - INFO - Epoch(train) [50][4500/5005] lr: 5.1571e-05 eta: 5:37:41 time: 0.0928 data_time: 0.0317 memory: 1684 loss: 1.1742 2023/04/02 23:54:52 - mmengine - INFO - Epoch(train) [50][4600/5005] lr: 5.1571e-05 eta: 5:37:33 time: 0.0771 data_time: 0.0181 memory: 1684 loss: 1.2694 2023/04/02 23:55:00 - mmengine - INFO - Epoch(train) [50][4700/5005] lr: 5.1571e-05 eta: 5:37:25 time: 0.0794 data_time: 0.0182 memory: 1684 loss: 1.1399 2023/04/02 23:55:04 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:55:08 - mmengine - INFO - Epoch(train) [50][4800/5005] lr: 5.1571e-05 eta: 5:37:17 time: 0.0763 data_time: 0.0173 memory: 1684 loss: 1.1431 2023/04/02 23:55:17 - mmengine - INFO - Epoch(train) [50][4900/5005] lr: 5.1571e-05 eta: 5:37:09 time: 0.0787 data_time: 0.0182 memory: 1684 loss: 1.3380 2023/04/02 23:55:25 - mmengine - INFO - Epoch(train) [50][5000/5005] lr: 5.1571e-05 eta: 5:37:01 time: 0.0771 data_time: 0.0186 memory: 1684 loss: 1.2384 2023/04/02 23:55:25 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:55:25 - mmengine - INFO - Saving checkpoint at 50 epochs 2023/04/02 23:55:31 - mmengine - INFO - Epoch(val) [50][100/196] eta: 0:00:03 time: 0.0335 data_time: 0.0080 memory: 1684 2023/04/02 23:55:43 - mmengine - INFO - Epoch(val) [50][196/196] qat.accuracy/top1: 69.9080 qat.accuracy/top5: 89.2660data_time: 0.0093 time: 0.0327 2023/04/02 23:55:47 - mmengine - INFO - Epoch(val) [50][100/196] eta: 0:00:03 time: 0.0362 data_time: 0.0078 memory: 513 2023/04/02 23:56:01 - mmengine - INFO - Epoch(val) [50][196/196] qat.accuracy/top1: 69.8180 qat.accuracy/top5: 89.1800data_time: 0.0070 time: 0.0342 2023/04/02 23:56:04 - mmengine - INFO - Epoch(val) [50][100/196] eta: 0:00:02 time: 0.0242 data_time: 0.0133 memory: 470 2023/04/02 23:56:17 - mmengine - INFO - Epoch(val) [50][196/196] original.accuracy/top1: 69.7060 original.accuracy/top5: 89.2720data_time: 0.0300 time: 0.0399 2023/04/02 23:56:26 - mmengine - INFO - Epoch(train) [51][ 100/5005] lr: 5.0000e-05 eta: 5:36:53 time: 0.0778 data_time: 0.0180 memory: 1735 loss: 1.0736 2023/04/02 23:56:34 - mmengine - INFO - Epoch(train) [51][ 200/5005] lr: 5.0000e-05 eta: 5:36:45 time: 0.0771 data_time: 0.0186 memory: 1735 loss: 1.2969 2023/04/02 23:56:42 - mmengine - INFO - Epoch(train) [51][ 300/5005] lr: 5.0000e-05 eta: 5:36:37 time: 0.0786 data_time: 0.0176 memory: 1735 loss: 1.2226 2023/04/02 23:56:50 - mmengine - INFO - Epoch(train) [51][ 400/5005] lr: 5.0000e-05 eta: 5:36:29 time: 0.0771 data_time: 0.0168 memory: 1735 loss: 1.2619 2023/04/02 23:56:58 - mmengine - INFO - Epoch(train) [51][ 500/5005] lr: 5.0000e-05 eta: 5:36:21 time: 0.0971 data_time: 0.0176 memory: 1735 loss: 1.3648 2023/04/02 23:57:06 - mmengine - INFO - Epoch(train) [51][ 600/5005] lr: 5.0000e-05 eta: 5:36:13 time: 0.0774 data_time: 0.0177 memory: 1735 loss: 1.1271 2023/04/02 23:57:14 - mmengine - INFO - Epoch(train) [51][ 700/5005] lr: 5.0000e-05 eta: 5:36:05 time: 0.0887 data_time: 0.0176 memory: 1735 loss: 1.0826 2023/04/02 23:57:18 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:57:22 - mmengine - INFO - Epoch(train) [51][ 800/5005] lr: 5.0000e-05 eta: 5:35:56 time: 0.0767 data_time: 0.0173 memory: 1735 loss: 1.3051 2023/04/02 23:57:30 - mmengine - INFO - Epoch(train) [51][ 900/5005] lr: 5.0000e-05 eta: 5:35:48 time: 0.0789 data_time: 0.0172 memory: 1735 loss: 1.1592 2023/04/02 23:57:39 - mmengine - INFO - Epoch(train) [51][1000/5005] lr: 5.0000e-05 eta: 5:35:40 time: 0.0808 data_time: 0.0178 memory: 1735 loss: 1.1575 2023/04/02 23:57:47 - mmengine - INFO - Epoch(train) [51][1100/5005] lr: 5.0000e-05 eta: 5:35:33 time: 0.0780 data_time: 0.0168 memory: 1735 loss: 1.2198 2023/04/02 23:57:55 - mmengine - INFO - Epoch(train) [51][1200/5005] lr: 5.0000e-05 eta: 5:35:24 time: 0.0908 data_time: 0.0174 memory: 1684 loss: 1.4163 2023/04/02 23:58:03 - mmengine - INFO - Epoch(train) [51][1300/5005] lr: 5.0000e-05 eta: 5:35:16 time: 0.0756 data_time: 0.0180 memory: 1684 loss: 1.3599 2023/04/02 23:58:11 - mmengine - INFO - Epoch(train) [51][1400/5005] lr: 5.0000e-05 eta: 5:35:08 time: 0.0778 data_time: 0.0174 memory: 1684 loss: 1.2292 2023/04/02 23:58:19 - mmengine - INFO - Epoch(train) [51][1500/5005] lr: 5.0000e-05 eta: 5:35:00 time: 0.0862 data_time: 0.0176 memory: 1684 loss: 1.4560 2023/04/02 23:58:28 - mmengine - INFO - Epoch(train) [51][1600/5005] lr: 5.0000e-05 eta: 5:34:52 time: 0.0791 data_time: 0.0174 memory: 1684 loss: 1.1886 2023/04/02 23:58:36 - mmengine - INFO - Epoch(train) [51][1700/5005] lr: 5.0000e-05 eta: 5:34:44 time: 0.0776 data_time: 0.0175 memory: 1684 loss: 1.4386 2023/04/02 23:58:40 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/02 23:58:44 - mmengine - INFO - Epoch(train) [51][1800/5005] lr: 5.0000e-05 eta: 5:34:36 time: 0.0789 data_time: 0.0174 memory: 1684 loss: 1.1795 2023/04/02 23:58:52 - mmengine - INFO - Epoch(train) [51][1900/5005] lr: 5.0000e-05 eta: 5:34:27 time: 0.0790 data_time: 0.0175 memory: 1684 loss: 1.3777 2023/04/02 23:59:00 - mmengine - INFO - Epoch(train) [51][2000/5005] lr: 5.0000e-05 eta: 5:34:19 time: 0.0790 data_time: 0.0175 memory: 1684 loss: 1.2759 2023/04/02 23:59:08 - mmengine - INFO - Epoch(train) [51][2100/5005] lr: 5.0000e-05 eta: 5:34:11 time: 0.0792 data_time: 0.0173 memory: 1684 loss: 1.1613 2023/04/02 23:59:16 - mmengine - INFO - Epoch(train) [51][2200/5005] lr: 5.0000e-05 eta: 5:34:03 time: 0.0770 data_time: 0.0175 memory: 1684 loss: 1.2980 2023/04/02 23:59:25 - mmengine - INFO - Epoch(train) [51][2300/5005] lr: 5.0000e-05 eta: 5:33:55 time: 0.0773 data_time: 0.0175 memory: 1684 loss: 1.2626 2023/04/02 23:59:33 - mmengine - INFO - Epoch(train) [51][2400/5005] lr: 5.0000e-05 eta: 5:33:47 time: 0.0755 data_time: 0.0176 memory: 1684 loss: 1.1851 2023/04/02 23:59:40 - mmengine - INFO - Epoch(train) [51][2500/5005] lr: 5.0000e-05 eta: 5:33:38 time: 0.0751 data_time: 0.0177 memory: 1684 loss: 1.3693 2023/04/02 23:59:48 - mmengine - INFO - Epoch(train) [51][2600/5005] lr: 5.0000e-05 eta: 5:33:30 time: 0.0760 data_time: 0.0174 memory: 1684 loss: 1.2290 2023/04/02 23:59:56 - mmengine - INFO - Epoch(train) [51][2700/5005] lr: 5.0000e-05 eta: 5:33:22 time: 0.0790 data_time: 0.0175 memory: 1684 loss: 1.0832 2023/04/03 00:00:01 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:00:05 - mmengine - INFO - Epoch(train) [51][2800/5005] lr: 5.0000e-05 eta: 5:33:14 time: 0.0806 data_time: 0.0174 memory: 1684 loss: 1.4239 2023/04/03 00:00:13 - mmengine - INFO - Epoch(train) [51][2900/5005] lr: 5.0000e-05 eta: 5:33:06 time: 0.0794 data_time: 0.0174 memory: 1684 loss: 1.3089 2023/04/03 00:00:21 - mmengine - INFO - Epoch(train) [51][3000/5005] lr: 5.0000e-05 eta: 5:32:58 time: 0.0809 data_time: 0.0172 memory: 1684 loss: 1.3768 2023/04/03 00:00:29 - mmengine - INFO - Epoch(train) [51][3100/5005] lr: 5.0000e-05 eta: 5:32:50 time: 0.0788 data_time: 0.0175 memory: 1684 loss: 1.1464 2023/04/03 00:00:38 - mmengine - INFO - Epoch(train) [51][3200/5005] lr: 5.0000e-05 eta: 5:32:42 time: 0.0764 data_time: 0.0175 memory: 1684 loss: 1.4164 2023/04/03 00:00:46 - mmengine - INFO - Epoch(train) [51][3300/5005] lr: 5.0000e-05 eta: 5:32:34 time: 0.0826 data_time: 0.0173 memory: 1684 loss: 1.2138 2023/04/03 00:00:54 - mmengine - INFO - Epoch(train) [51][3400/5005] lr: 5.0000e-05 eta: 5:32:26 time: 0.0939 data_time: 0.0173 memory: 1684 loss: 1.2934 2023/04/03 00:01:02 - mmengine - INFO - Epoch(train) [51][3500/5005] lr: 5.0000e-05 eta: 5:32:17 time: 0.0770 data_time: 0.0176 memory: 1684 loss: 1.0712 2023/04/03 00:01:10 - mmengine - INFO - Epoch(train) [51][3600/5005] lr: 5.0000e-05 eta: 5:32:09 time: 0.0773 data_time: 0.0183 memory: 1684 loss: 1.1526 2023/04/03 00:01:18 - mmengine - INFO - Epoch(train) [51][3700/5005] lr: 5.0000e-05 eta: 5:32:01 time: 0.0808 data_time: 0.0178 memory: 1684 loss: 1.2468 2023/04/03 00:01:22 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:01:26 - mmengine - INFO - Epoch(train) [51][3800/5005] lr: 5.0000e-05 eta: 5:31:53 time: 0.0990 data_time: 0.0282 memory: 1684 loss: 1.2980 2023/04/03 00:01:34 - mmengine - INFO - Epoch(train) [51][3900/5005] lr: 5.0000e-05 eta: 5:31:45 time: 0.0752 data_time: 0.0178 memory: 1684 loss: 1.3639 2023/04/03 00:01:42 - mmengine - INFO - Epoch(train) [51][4000/5005] lr: 5.0000e-05 eta: 5:31:37 time: 0.0799 data_time: 0.0177 memory: 1684 loss: 1.4352 2023/04/03 00:01:50 - mmengine - INFO - Epoch(train) [51][4100/5005] lr: 5.0000e-05 eta: 5:31:29 time: 0.0802 data_time: 0.0225 memory: 1684 loss: 1.1566 2023/04/03 00:01:58 - mmengine - INFO - Epoch(train) [51][4200/5005] lr: 5.0000e-05 eta: 5:31:20 time: 0.0890 data_time: 0.0173 memory: 1684 loss: 1.2250 2023/04/03 00:02:06 - mmengine - INFO - Epoch(train) [51][4300/5005] lr: 5.0000e-05 eta: 5:31:12 time: 0.0755 data_time: 0.0190 memory: 1684 loss: 1.1977 2023/04/03 00:02:14 - mmengine - INFO - Epoch(train) [51][4400/5005] lr: 5.0000e-05 eta: 5:31:04 time: 0.0797 data_time: 0.0178 memory: 1684 loss: 1.2144 2023/04/03 00:02:23 - mmengine - INFO - Epoch(train) [51][4500/5005] lr: 5.0000e-05 eta: 5:30:56 time: 0.0769 data_time: 0.0185 memory: 1684 loss: 1.2967 2023/04/03 00:02:31 - mmengine - INFO - Epoch(train) [51][4600/5005] lr: 5.0000e-05 eta: 5:30:48 time: 0.0866 data_time: 0.0248 memory: 1684 loss: 1.2990 2023/04/03 00:02:39 - mmengine - INFO - Epoch(train) [51][4700/5005] lr: 5.0000e-05 eta: 5:30:40 time: 0.0774 data_time: 0.0179 memory: 1684 loss: 1.5072 2023/04/03 00:02:43 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:02:47 - mmengine - INFO - Epoch(train) [51][4800/5005] lr: 5.0000e-05 eta: 5:30:31 time: 0.0758 data_time: 0.0174 memory: 1684 loss: 1.2359 2023/04/03 00:02:55 - mmengine - INFO - Epoch(train) [51][4900/5005] lr: 5.0000e-05 eta: 5:30:23 time: 0.0893 data_time: 0.0305 memory: 1684 loss: 1.1976 2023/04/03 00:03:03 - mmengine - INFO - Epoch(train) [51][5000/5005] lr: 5.0000e-05 eta: 5:30:15 time: 0.0786 data_time: 0.0197 memory: 1684 loss: 1.1468 2023/04/03 00:03:04 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:03:04 - mmengine - INFO - Saving checkpoint at 51 epochs 2023/04/03 00:03:10 - mmengine - INFO - Epoch(val) [51][100/196] eta: 0:00:04 time: 0.0337 data_time: 0.0081 memory: 1684 2023/04/03 00:03:23 - mmengine - INFO - Epoch(val) [51][196/196] qat.accuracy/top1: 69.7200 qat.accuracy/top5: 89.1720data_time: 0.0264 time: 0.0504 2023/04/03 00:03:27 - mmengine - INFO - Epoch(val) [51][100/196] eta: 0:00:04 time: 0.0360 data_time: 0.0076 memory: 513 2023/04/03 00:03:40 - mmengine - INFO - Epoch(val) [51][196/196] qat.accuracy/top1: 69.6320 qat.accuracy/top5: 89.1820data_time: 0.0067 time: 0.0335 2023/04/03 00:03:44 - mmengine - INFO - Epoch(val) [51][100/196] eta: 0:00:02 time: 0.0247 data_time: 0.0140 memory: 470 2023/04/03 00:03:56 - mmengine - INFO - Epoch(val) [51][196/196] original.accuracy/top1: 69.6260 original.accuracy/top5: 89.1740data_time: 0.0255 time: 0.0352 2023/04/03 00:04:05 - mmengine - INFO - Epoch(train) [52][ 100/5005] lr: 4.8429e-05 eta: 5:30:08 time: 0.0803 data_time: 0.0174 memory: 1735 loss: 1.1509 2023/04/03 00:04:13 - mmengine - INFO - Epoch(train) [52][ 200/5005] lr: 4.8429e-05 eta: 5:29:59 time: 0.0800 data_time: 0.0175 memory: 1735 loss: 1.3569 2023/04/03 00:04:21 - mmengine - INFO - Epoch(train) [52][ 300/5005] lr: 4.8429e-05 eta: 5:29:51 time: 0.0815 data_time: 0.0176 memory: 1735 loss: 1.1775 2023/04/03 00:04:29 - mmengine - INFO - Epoch(train) [52][ 400/5005] lr: 4.8429e-05 eta: 5:29:43 time: 0.0782 data_time: 0.0176 memory: 1735 loss: 1.1563 2023/04/03 00:04:38 - mmengine - INFO - Epoch(train) [52][ 500/5005] lr: 4.8429e-05 eta: 5:29:35 time: 0.0749 data_time: 0.0174 memory: 1735 loss: 1.0886 2023/04/03 00:04:46 - mmengine - INFO - Epoch(train) [52][ 600/5005] lr: 4.8429e-05 eta: 5:29:27 time: 0.0894 data_time: 0.0185 memory: 1735 loss: 1.2702 2023/04/03 00:04:54 - mmengine - INFO - Epoch(train) [52][ 700/5005] lr: 4.8429e-05 eta: 5:29:19 time: 0.0831 data_time: 0.0177 memory: 1735 loss: 0.9769 2023/04/03 00:04:58 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:05:02 - mmengine - INFO - Epoch(train) [52][ 800/5005] lr: 4.8429e-05 eta: 5:29:11 time: 0.0767 data_time: 0.0174 memory: 1735 loss: 1.3974 2023/04/03 00:05:10 - mmengine - INFO - Epoch(train) [52][ 900/5005] lr: 4.8429e-05 eta: 5:29:02 time: 0.0795 data_time: 0.0179 memory: 1735 loss: 1.1630 2023/04/03 00:05:18 - mmengine - INFO - Epoch(train) [52][1000/5005] lr: 4.8429e-05 eta: 5:28:54 time: 0.0803 data_time: 0.0178 memory: 1735 loss: 1.2724 2023/04/03 00:05:26 - mmengine - INFO - Epoch(train) [52][1100/5005] lr: 4.8429e-05 eta: 5:28:46 time: 0.0768 data_time: 0.0170 memory: 1684 loss: 1.3172 2023/04/03 00:05:35 - mmengine - INFO - Epoch(train) [52][1200/5005] lr: 4.8429e-05 eta: 5:28:38 time: 0.0890 data_time: 0.0184 memory: 1684 loss: 1.2697 2023/04/03 00:05:43 - mmengine - INFO - Epoch(train) [52][1300/5005] lr: 4.8429e-05 eta: 5:28:30 time: 0.0775 data_time: 0.0185 memory: 1684 loss: 1.2505 2023/04/03 00:05:51 - mmengine - INFO - Epoch(train) [52][1400/5005] lr: 4.8429e-05 eta: 5:28:22 time: 0.0780 data_time: 0.0187 memory: 1684 loss: 1.2745 2023/04/03 00:05:59 - mmengine - INFO - Epoch(train) [52][1500/5005] lr: 4.8429e-05 eta: 5:28:14 time: 0.0790 data_time: 0.0188 memory: 1684 loss: 1.1420 2023/04/03 00:06:08 - mmengine - INFO - Epoch(train) [52][1600/5005] lr: 4.8429e-05 eta: 5:28:06 time: 0.0753 data_time: 0.0182 memory: 1684 loss: 1.2921 2023/04/03 00:06:16 - mmengine - INFO - Epoch(train) [52][1700/5005] lr: 4.8429e-05 eta: 5:27:58 time: 0.0889 data_time: 0.0177 memory: 1684 loss: 1.2177 2023/04/03 00:06:20 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:06:24 - mmengine - INFO - Epoch(train) [52][1800/5005] lr: 4.8429e-05 eta: 5:27:50 time: 0.0759 data_time: 0.0180 memory: 1684 loss: 1.3655 2023/04/03 00:06:32 - mmengine - INFO - Epoch(train) [52][1900/5005] lr: 4.8429e-05 eta: 5:27:42 time: 0.0773 data_time: 0.0183 memory: 1684 loss: 1.1009 2023/04/03 00:06:40 - mmengine - INFO - Epoch(train) [52][2000/5005] lr: 4.8429e-05 eta: 5:27:34 time: 0.0763 data_time: 0.0181 memory: 1684 loss: 1.2003 2023/04/03 00:06:48 - mmengine - INFO - Epoch(train) [52][2100/5005] lr: 4.8429e-05 eta: 5:27:26 time: 0.0777 data_time: 0.0176 memory: 1684 loss: 1.2484 2023/04/03 00:06:56 - mmengine - INFO - Epoch(train) [52][2200/5005] lr: 4.8429e-05 eta: 5:27:18 time: 0.0776 data_time: 0.0182 memory: 1684 loss: 1.2470 2023/04/03 00:07:04 - mmengine - INFO - Epoch(train) [52][2300/5005] lr: 4.8429e-05 eta: 5:27:09 time: 0.0748 data_time: 0.0178 memory: 1684 loss: 1.3518 2023/04/03 00:07:12 - mmengine - INFO - Epoch(train) [52][2400/5005] lr: 4.8429e-05 eta: 5:27:01 time: 0.0792 data_time: 0.0175 memory: 1684 loss: 1.0113 2023/04/03 00:07:21 - mmengine - INFO - Epoch(train) [52][2500/5005] lr: 4.8429e-05 eta: 5:26:53 time: 0.0993 data_time: 0.0180 memory: 1684 loss: 1.1767 2023/04/03 00:07:29 - mmengine - INFO - Epoch(train) [52][2600/5005] lr: 4.8429e-05 eta: 5:26:45 time: 0.0767 data_time: 0.0180 memory: 1684 loss: 1.3832 2023/04/03 00:07:37 - mmengine - INFO - Epoch(train) [52][2700/5005] lr: 4.8429e-05 eta: 5:26:37 time: 0.0980 data_time: 0.0188 memory: 1684 loss: 1.3796 2023/04/03 00:07:41 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:07:45 - mmengine - INFO - Epoch(train) [52][2800/5005] lr: 4.8429e-05 eta: 5:26:29 time: 0.0768 data_time: 0.0178 memory: 1684 loss: 1.0881 2023/04/03 00:07:53 - mmengine - INFO - Epoch(train) [52][2900/5005] lr: 4.8429e-05 eta: 5:26:21 time: 0.0811 data_time: 0.0178 memory: 1684 loss: 1.1390 2023/04/03 00:08:01 - mmengine - INFO - Epoch(train) [52][3000/5005] lr: 4.8429e-05 eta: 5:26:13 time: 0.1105 data_time: 0.0179 memory: 1684 loss: 1.3344 2023/04/03 00:08:09 - mmengine - INFO - Epoch(train) [52][3100/5005] lr: 4.8429e-05 eta: 5:26:05 time: 0.0759 data_time: 0.0177 memory: 1684 loss: 1.0986 2023/04/03 00:08:17 - mmengine - INFO - Epoch(train) [52][3200/5005] lr: 4.8429e-05 eta: 5:25:56 time: 0.0776 data_time: 0.0177 memory: 1684 loss: 1.4146 2023/04/03 00:08:25 - mmengine - INFO - Epoch(train) [52][3300/5005] lr: 4.8429e-05 eta: 5:25:48 time: 0.0796 data_time: 0.0196 memory: 1684 loss: 1.3848 2023/04/03 00:08:33 - mmengine - INFO - Epoch(train) [52][3400/5005] lr: 4.8429e-05 eta: 5:25:40 time: 0.0897 data_time: 0.0187 memory: 1684 loss: 1.1691 2023/04/03 00:08:41 - mmengine - INFO - Epoch(train) [52][3500/5005] lr: 4.8429e-05 eta: 5:25:32 time: 0.0796 data_time: 0.0178 memory: 1684 loss: 1.3269 2023/04/03 00:08:50 - mmengine - INFO - Epoch(train) [52][3600/5005] lr: 4.8429e-05 eta: 5:25:24 time: 0.0768 data_time: 0.0180 memory: 1684 loss: 1.1984 2023/04/03 00:08:58 - mmengine - INFO - Epoch(train) [52][3700/5005] lr: 4.8429e-05 eta: 5:25:15 time: 0.0905 data_time: 0.0184 memory: 1684 loss: 1.1731 2023/04/03 00:09:01 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:09:06 - mmengine - INFO - Epoch(train) [52][3800/5005] lr: 4.8429e-05 eta: 5:25:07 time: 0.0917 data_time: 0.0183 memory: 1684 loss: 1.1340 2023/04/03 00:09:14 - mmengine - INFO - Epoch(train) [52][3900/5005] lr: 4.8429e-05 eta: 5:24:59 time: 0.0762 data_time: 0.0183 memory: 1684 loss: 1.2787 2023/04/03 00:09:22 - mmengine - INFO - Epoch(train) [52][4000/5005] lr: 4.8429e-05 eta: 5:24:51 time: 0.0794 data_time: 0.0184 memory: 1684 loss: 1.2022 2023/04/03 00:09:30 - mmengine - INFO - Epoch(train) [52][4100/5005] lr: 4.8429e-05 eta: 5:24:43 time: 0.0854 data_time: 0.0181 memory: 1684 loss: 1.2556 2023/04/03 00:09:38 - mmengine - INFO - Epoch(train) [52][4200/5005] lr: 4.8429e-05 eta: 5:24:35 time: 0.0973 data_time: 0.0326 memory: 1684 loss: 1.0822 2023/04/03 00:09:47 - mmengine - INFO - Epoch(train) [52][4300/5005] lr: 4.8429e-05 eta: 5:24:27 time: 0.0797 data_time: 0.0183 memory: 1684 loss: 1.2934 2023/04/03 00:09:55 - mmengine - INFO - Epoch(train) [52][4400/5005] lr: 4.8429e-05 eta: 5:24:19 time: 0.0841 data_time: 0.0177 memory: 1684 loss: 1.2339 2023/04/03 00:10:03 - mmengine - INFO - Epoch(train) [52][4500/5005] lr: 4.8429e-05 eta: 5:24:11 time: 0.1008 data_time: 0.0191 memory: 1684 loss: 1.1036 2023/04/03 00:10:12 - mmengine - INFO - Epoch(train) [52][4600/5005] lr: 4.8429e-05 eta: 5:24:03 time: 0.0830 data_time: 0.0174 memory: 1684 loss: 1.2168 2023/04/03 00:10:20 - mmengine - INFO - Epoch(train) [52][4700/5005] lr: 4.8429e-05 eta: 5:23:55 time: 0.0781 data_time: 0.0181 memory: 1684 loss: 1.1579 2023/04/03 00:10:24 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:10:28 - mmengine - INFO - Epoch(train) [52][4800/5005] lr: 4.8429e-05 eta: 5:23:47 time: 0.0776 data_time: 0.0176 memory: 1684 loss: 1.1964 2023/04/03 00:10:36 - mmengine - INFO - Epoch(train) [52][4900/5005] lr: 4.8429e-05 eta: 5:23:39 time: 0.0789 data_time: 0.0176 memory: 1684 loss: 1.1428 2023/04/03 00:10:44 - mmengine - INFO - Epoch(train) [52][5000/5005] lr: 4.8429e-05 eta: 5:23:31 time: 0.0788 data_time: 0.0180 memory: 1684 loss: 1.1199 2023/04/03 00:10:45 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:10:45 - mmengine - INFO - Saving checkpoint at 52 epochs 2023/04/03 00:10:50 - mmengine - INFO - Epoch(val) [52][100/196] eta: 0:00:03 time: 0.0335 data_time: 0.0080 memory: 1684 2023/04/03 00:11:03 - mmengine - INFO - Epoch(val) [52][196/196] qat.accuracy/top1: 69.8320 qat.accuracy/top5: 89.1800data_time: 0.0081 time: 0.0317 2023/04/03 00:11:07 - mmengine - INFO - Epoch(val) [52][100/196] eta: 0:00:03 time: 0.0359 data_time: 0.0084 memory: 513 2023/04/03 00:11:21 - mmengine - INFO - Epoch(val) [52][196/196] qat.accuracy/top1: 69.8760 qat.accuracy/top5: 89.1100data_time: 0.0070 time: 0.0332 2023/04/03 00:11:24 - mmengine - INFO - Epoch(val) [52][100/196] eta: 0:00:02 time: 0.0239 data_time: 0.0132 memory: 470 2023/04/03 00:11:36 - mmengine - INFO - Epoch(val) [52][196/196] original.accuracy/top1: 69.6860 original.accuracy/top5: 89.1860data_time: 0.0350 time: 0.0451 2023/04/03 00:11:47 - mmengine - INFO - Epoch(train) [53][ 100/5005] lr: 4.6860e-05 eta: 5:23:25 time: 0.1105 data_time: 0.0180 memory: 1735 loss: 1.2409 2023/04/03 00:11:56 - mmengine - INFO - Epoch(train) [53][ 200/5005] lr: 4.6860e-05 eta: 5:23:17 time: 0.0790 data_time: 0.0181 memory: 1735 loss: 1.3698 2023/04/03 00:12:04 - mmengine - INFO - Epoch(train) [53][ 300/5005] lr: 4.6860e-05 eta: 5:23:09 time: 0.0769 data_time: 0.0176 memory: 1735 loss: 1.4247 2023/04/03 00:12:12 - mmengine - INFO - Epoch(train) [53][ 400/5005] lr: 4.6860e-05 eta: 5:23:01 time: 0.0812 data_time: 0.0177 memory: 1684 loss: 1.1784 2023/04/03 00:12:20 - mmengine - INFO - Epoch(train) [53][ 500/5005] lr: 4.6860e-05 eta: 5:22:53 time: 0.0801 data_time: 0.0175 memory: 1684 loss: 1.2009 2023/04/03 00:12:28 - mmengine - INFO - Epoch(train) [53][ 600/5005] lr: 4.6860e-05 eta: 5:22:45 time: 0.0753 data_time: 0.0175 memory: 1684 loss: 1.0310 2023/04/03 00:12:37 - mmengine - INFO - Epoch(train) [53][ 700/5005] lr: 4.6860e-05 eta: 5:22:37 time: 0.0806 data_time: 0.0175 memory: 1684 loss: 1.1335 2023/04/03 00:12:40 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:12:45 - mmengine - INFO - Epoch(train) [53][ 800/5005] lr: 4.6860e-05 eta: 5:22:29 time: 0.0807 data_time: 0.0174 memory: 1684 loss: 1.3198 2023/04/03 00:12:53 - mmengine - INFO - Epoch(train) [53][ 900/5005] lr: 4.6860e-05 eta: 5:22:21 time: 0.0742 data_time: 0.0178 memory: 1684 loss: 1.2672 2023/04/03 00:13:01 - mmengine - INFO - Epoch(train) [53][1000/5005] lr: 4.6860e-05 eta: 5:22:13 time: 0.0764 data_time: 0.0176 memory: 1684 loss: 1.3231 2023/04/03 00:13:09 - mmengine - INFO - Epoch(train) [53][1100/5005] lr: 4.6860e-05 eta: 5:22:05 time: 0.0788 data_time: 0.0176 memory: 1684 loss: 1.3213 2023/04/03 00:13:17 - mmengine - INFO - Epoch(train) [53][1200/5005] lr: 4.6860e-05 eta: 5:21:56 time: 0.0772 data_time: 0.0176 memory: 1684 loss: 1.0735 2023/04/03 00:13:26 - mmengine - INFO - Epoch(train) [53][1300/5005] lr: 4.6860e-05 eta: 5:21:48 time: 0.0783 data_time: 0.0173 memory: 1684 loss: 1.3423 2023/04/03 00:13:34 - mmengine - INFO - Epoch(train) [53][1400/5005] lr: 4.6860e-05 eta: 5:21:40 time: 0.0779 data_time: 0.0175 memory: 1684 loss: 1.1020 2023/04/03 00:13:42 - mmengine - INFO - Epoch(train) [53][1500/5005] lr: 4.6860e-05 eta: 5:21:33 time: 0.0786 data_time: 0.0177 memory: 1684 loss: 1.2662 2023/04/03 00:13:51 - mmengine - INFO - Epoch(train) [53][1600/5005] lr: 4.6860e-05 eta: 5:21:25 time: 0.0789 data_time: 0.0189 memory: 1684 loss: 1.1721 2023/04/03 00:13:59 - mmengine - INFO - Epoch(train) [53][1700/5005] lr: 4.6860e-05 eta: 5:21:17 time: 0.0793 data_time: 0.0176 memory: 1684 loss: 1.1479 2023/04/03 00:14:02 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:14:07 - mmengine - INFO - Epoch(train) [53][1800/5005] lr: 4.6860e-05 eta: 5:21:09 time: 0.0855 data_time: 0.0174 memory: 1684 loss: 0.9967 2023/04/03 00:14:15 - mmengine - INFO - Epoch(train) [53][1900/5005] lr: 4.6860e-05 eta: 5:21:00 time: 0.0785 data_time: 0.0175 memory: 1684 loss: 1.1818 2023/04/03 00:14:23 - mmengine - INFO - Epoch(train) [53][2000/5005] lr: 4.6860e-05 eta: 5:20:52 time: 0.0913 data_time: 0.0169 memory: 1684 loss: 1.0849 2023/04/03 00:14:31 - mmengine - INFO - Epoch(train) [53][2100/5005] lr: 4.6860e-05 eta: 5:20:44 time: 0.0797 data_time: 0.0183 memory: 1684 loss: 1.2297 2023/04/03 00:14:39 - mmengine - INFO - Epoch(train) [53][2200/5005] lr: 4.6860e-05 eta: 5:20:36 time: 0.0765 data_time: 0.0178 memory: 1684 loss: 1.0979 2023/04/03 00:14:47 - mmengine - INFO - Epoch(train) [53][2300/5005] lr: 4.6860e-05 eta: 5:20:28 time: 0.0898 data_time: 0.0174 memory: 1684 loss: 1.3392 2023/04/03 00:14:56 - mmengine - INFO - Epoch(train) [53][2400/5005] lr: 4.6860e-05 eta: 5:20:20 time: 0.0773 data_time: 0.0175 memory: 1684 loss: 1.1046 2023/04/03 00:15:04 - mmengine - INFO - Epoch(train) [53][2500/5005] lr: 4.6860e-05 eta: 5:20:12 time: 0.0776 data_time: 0.0178 memory: 1684 loss: 1.2281 2023/04/03 00:15:13 - mmengine - INFO - Epoch(train) [53][2600/5005] lr: 4.6860e-05 eta: 5:20:04 time: 0.0827 data_time: 0.0200 memory: 1684 loss: 1.2515 2023/04/03 00:15:21 - mmengine - INFO - Epoch(train) [53][2700/5005] lr: 4.6860e-05 eta: 5:19:56 time: 0.0775 data_time: 0.0184 memory: 1684 loss: 1.3452 2023/04/03 00:15:24 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:15:29 - mmengine - INFO - Epoch(train) [53][2800/5005] lr: 4.6860e-05 eta: 5:19:48 time: 0.0754 data_time: 0.0174 memory: 1684 loss: 1.3593 2023/04/03 00:15:37 - mmengine - INFO - Epoch(train) [53][2900/5005] lr: 4.6860e-05 eta: 5:19:40 time: 0.0913 data_time: 0.0175 memory: 1684 loss: 1.1730 2023/04/03 00:15:45 - mmengine - INFO - Epoch(train) [53][3000/5005] lr: 4.6860e-05 eta: 5:19:32 time: 0.0765 data_time: 0.0181 memory: 1684 loss: 1.1930 2023/04/03 00:15:53 - mmengine - INFO - Epoch(train) [53][3100/5005] lr: 4.6860e-05 eta: 5:19:24 time: 0.0791 data_time: 0.0178 memory: 1684 loss: 0.9810 2023/04/03 00:16:01 - mmengine - INFO - Epoch(train) [53][3200/5005] lr: 4.6860e-05 eta: 5:19:15 time: 0.0789 data_time: 0.0176 memory: 1684 loss: 1.2399 2023/04/03 00:16:09 - mmengine - INFO - Epoch(train) [53][3300/5005] lr: 4.6860e-05 eta: 5:19:07 time: 0.0779 data_time: 0.0177 memory: 1684 loss: 1.1912 2023/04/03 00:16:17 - mmengine - INFO - Epoch(train) [53][3400/5005] lr: 4.6860e-05 eta: 5:18:59 time: 0.0906 data_time: 0.0176 memory: 1684 loss: 1.1570 2023/04/03 00:16:25 - mmengine - INFO - Epoch(train) [53][3500/5005] lr: 4.6860e-05 eta: 5:18:51 time: 0.0796 data_time: 0.0175 memory: 1684 loss: 1.1157 2023/04/03 00:16:34 - mmengine - INFO - Epoch(train) [53][3600/5005] lr: 4.6860e-05 eta: 5:18:43 time: 0.0778 data_time: 0.0180 memory: 1684 loss: 1.0841 2023/04/03 00:16:42 - mmengine - INFO - Epoch(train) [53][3700/5005] lr: 4.6860e-05 eta: 5:18:35 time: 0.0784 data_time: 0.0180 memory: 1684 loss: 1.3074 2023/04/03 00:16:45 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:16:50 - mmengine - INFO - Epoch(train) [53][3800/5005] lr: 4.6860e-05 eta: 5:18:26 time: 0.0763 data_time: 0.0175 memory: 1684 loss: 1.1730 2023/04/03 00:16:58 - mmengine - INFO - Epoch(train) [53][3900/5005] lr: 4.6860e-05 eta: 5:18:18 time: 0.0751 data_time: 0.0177 memory: 1684 loss: 1.1553 2023/04/03 00:17:05 - mmengine - INFO - Epoch(train) [53][4000/5005] lr: 4.6860e-05 eta: 5:18:10 time: 0.0767 data_time: 0.0175 memory: 1684 loss: 1.1347 2023/04/03 00:17:13 - mmengine - INFO - Epoch(train) [53][4100/5005] lr: 4.6860e-05 eta: 5:18:02 time: 0.0865 data_time: 0.0176 memory: 1684 loss: 1.0230 2023/04/03 00:17:22 - mmengine - INFO - Epoch(train) [53][4200/5005] lr: 4.6860e-05 eta: 5:17:54 time: 0.0797 data_time: 0.0176 memory: 1684 loss: 1.2006 2023/04/03 00:17:30 - mmengine - INFO - Epoch(train) [53][4300/5005] lr: 4.6860e-05 eta: 5:17:46 time: 0.0800 data_time: 0.0176 memory: 1684 loss: 1.0514 2023/04/03 00:17:38 - mmengine - INFO - Epoch(train) [53][4400/5005] lr: 4.6860e-05 eta: 5:17:37 time: 0.0785 data_time: 0.0175 memory: 1684 loss: 1.1402 2023/04/03 00:17:46 - mmengine - INFO - Epoch(train) [53][4500/5005] lr: 4.6860e-05 eta: 5:17:29 time: 0.0781 data_time: 0.0175 memory: 1684 loss: 1.1073 2023/04/03 00:17:54 - mmengine - INFO - Epoch(train) [53][4600/5005] lr: 4.6860e-05 eta: 5:17:21 time: 0.0810 data_time: 0.0202 memory: 1684 loss: 1.2054 2023/04/03 00:18:03 - mmengine - INFO - Epoch(train) [53][4700/5005] lr: 4.6860e-05 eta: 5:17:13 time: 0.0794 data_time: 0.0182 memory: 1684 loss: 1.3532 2023/04/03 00:18:06 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:18:11 - mmengine - INFO - Epoch(train) [53][4800/5005] lr: 4.6860e-05 eta: 5:17:05 time: 0.0781 data_time: 0.0177 memory: 1684 loss: 1.3523 2023/04/03 00:18:19 - mmengine - INFO - Epoch(train) [53][4900/5005] lr: 4.6860e-05 eta: 5:16:57 time: 0.0763 data_time: 0.0176 memory: 1684 loss: 1.0811 2023/04/03 00:18:27 - mmengine - INFO - Epoch(train) [53][5000/5005] lr: 4.6860e-05 eta: 5:16:49 time: 0.0792 data_time: 0.0178 memory: 1684 loss: 1.2357 2023/04/03 00:18:27 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:18:27 - mmengine - INFO - Saving checkpoint at 53 epochs 2023/04/03 00:18:33 - mmengine - INFO - Epoch(val) [53][100/196] eta: 0:00:04 time: 0.0484 data_time: 0.0224 memory: 1684 2023/04/03 00:18:46 - mmengine - INFO - Epoch(val) [53][196/196] qat.accuracy/top1: 69.6960 qat.accuracy/top5: 89.2180data_time: 0.0113 time: 0.0353 2023/04/03 00:18:50 - mmengine - INFO - Epoch(val) [53][100/196] eta: 0:00:03 time: 0.0358 data_time: 0.0077 memory: 513 2023/04/03 00:19:03 - mmengine - INFO - Epoch(val) [53][196/196] qat.accuracy/top1: 69.6720 qat.accuracy/top5: 89.1900data_time: 0.0068 time: 0.0336 2023/04/03 00:19:06 - mmengine - INFO - Epoch(val) [53][100/196] eta: 0:00:02 time: 0.0233 data_time: 0.0120 memory: 470 2023/04/03 00:19:19 - mmengine - INFO - Epoch(val) [53][196/196] original.accuracy/top1: 69.6880 original.accuracy/top5: 89.2480data_time: 0.0305 time: 0.0400 2023/04/03 00:19:28 - mmengine - INFO - Epoch(train) [54][ 100/5005] lr: 4.5295e-05 eta: 5:16:41 time: 0.0839 data_time: 0.0175 memory: 1735 loss: 1.1477 2023/04/03 00:19:37 - mmengine - INFO - Epoch(train) [54][ 200/5005] lr: 4.5295e-05 eta: 5:16:33 time: 0.0815 data_time: 0.0175 memory: 1735 loss: 1.2354 2023/04/03 00:19:45 - mmengine - INFO - Epoch(train) [54][ 300/5005] lr: 4.5295e-05 eta: 5:16:25 time: 0.0769 data_time: 0.0185 memory: 1735 loss: 1.2760 2023/04/03 00:19:53 - mmengine - INFO - Epoch(train) [54][ 400/5005] lr: 4.5295e-05 eta: 5:16:17 time: 0.0787 data_time: 0.0174 memory: 1735 loss: 1.1100 2023/04/03 00:20:01 - mmengine - INFO - Epoch(train) [54][ 500/5005] lr: 4.5295e-05 eta: 5:16:09 time: 0.0795 data_time: 0.0180 memory: 1735 loss: 1.1780 2023/04/03 00:20:10 - mmengine - INFO - Epoch(train) [54][ 600/5005] lr: 4.5295e-05 eta: 5:16:01 time: 0.0797 data_time: 0.0180 memory: 1735 loss: 1.3270 2023/04/03 00:20:18 - mmengine - INFO - Epoch(train) [54][ 700/5005] lr: 4.5295e-05 eta: 5:15:53 time: 0.0836 data_time: 0.0179 memory: 1735 loss: 1.0780 2023/04/03 00:20:21 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:20:26 - mmengine - INFO - Epoch(train) [54][ 800/5005] lr: 4.5295e-05 eta: 5:15:45 time: 0.0775 data_time: 0.0176 memory: 1735 loss: 1.3506 2023/04/03 00:20:34 - mmengine - INFO - Epoch(train) [54][ 900/5005] lr: 4.5295e-05 eta: 5:15:37 time: 0.0854 data_time: 0.0186 memory: 1735 loss: 1.1497 2023/04/03 00:20:42 - mmengine - INFO - Epoch(train) [54][1000/5005] lr: 4.5295e-05 eta: 5:15:29 time: 0.0793 data_time: 0.0179 memory: 1735 loss: 1.1917 2023/04/03 00:20:51 - mmengine - INFO - Epoch(train) [54][1100/5005] lr: 4.5295e-05 eta: 5:15:21 time: 0.1040 data_time: 0.0341 memory: 1735 loss: 1.3168 2023/04/03 00:20:59 - mmengine - INFO - Epoch(train) [54][1200/5005] lr: 4.5295e-05 eta: 5:15:13 time: 0.0856 data_time: 0.0180 memory: 1684 loss: 1.2014 2023/04/03 00:21:07 - mmengine - INFO - Epoch(train) [54][1300/5005] lr: 4.5295e-05 eta: 5:15:05 time: 0.0890 data_time: 0.0180 memory: 1684 loss: 1.2209 2023/04/03 00:21:15 - mmengine - INFO - Epoch(train) [54][1400/5005] lr: 4.5295e-05 eta: 5:14:57 time: 0.0814 data_time: 0.0180 memory: 1684 loss: 1.3900 2023/04/03 00:21:23 - mmengine - INFO - Epoch(train) [54][1500/5005] lr: 4.5295e-05 eta: 5:14:49 time: 0.0887 data_time: 0.0178 memory: 1684 loss: 1.0748 2023/04/03 00:21:32 - mmengine - INFO - Epoch(train) [54][1600/5005] lr: 4.5295e-05 eta: 5:14:41 time: 0.0823 data_time: 0.0192 memory: 1684 loss: 1.1266 2023/04/03 00:21:40 - mmengine - INFO - Epoch(train) [54][1700/5005] lr: 4.5295e-05 eta: 5:14:33 time: 0.0781 data_time: 0.0177 memory: 1684 loss: 1.3088 2023/04/03 00:21:43 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:21:48 - mmengine - INFO - Epoch(train) [54][1800/5005] lr: 4.5295e-05 eta: 5:14:25 time: 0.0791 data_time: 0.0181 memory: 1684 loss: 1.0328 2023/04/03 00:21:56 - mmengine - INFO - Epoch(train) [54][1900/5005] lr: 4.5295e-05 eta: 5:14:17 time: 0.0783 data_time: 0.0177 memory: 1684 loss: 1.3004 2023/04/03 00:22:04 - mmengine - INFO - Epoch(train) [54][2000/5005] lr: 4.5295e-05 eta: 5:14:08 time: 0.0761 data_time: 0.0176 memory: 1684 loss: 1.2117 2023/04/03 00:22:12 - mmengine - INFO - Epoch(train) [54][2100/5005] lr: 4.5295e-05 eta: 5:14:00 time: 0.0801 data_time: 0.0177 memory: 1684 loss: 1.4197 2023/04/03 00:22:21 - mmengine - INFO - Epoch(train) [54][2200/5005] lr: 4.5295e-05 eta: 5:13:53 time: 0.0882 data_time: 0.0181 memory: 1684 loss: 1.2143 2023/04/03 00:22:29 - mmengine - INFO - Epoch(train) [54][2300/5005] lr: 4.5295e-05 eta: 5:13:44 time: 0.0790 data_time: 0.0178 memory: 1684 loss: 1.2789 2023/04/03 00:22:37 - mmengine - INFO - Epoch(train) [54][2400/5005] lr: 4.5295e-05 eta: 5:13:36 time: 0.0795 data_time: 0.0177 memory: 1684 loss: 1.2224 2023/04/03 00:22:45 - mmengine - INFO - Epoch(train) [54][2500/5005] lr: 4.5295e-05 eta: 5:13:28 time: 0.0781 data_time: 0.0178 memory: 1684 loss: 1.1744 2023/04/03 00:22:53 - mmengine - INFO - Epoch(train) [54][2600/5005] lr: 4.5295e-05 eta: 5:13:20 time: 0.0886 data_time: 0.0176 memory: 1684 loss: 1.2482 2023/04/03 00:23:00 - mmengine - INFO - Epoch(train) [54][2700/5005] lr: 4.5295e-05 eta: 5:13:11 time: 0.0761 data_time: 0.0177 memory: 1684 loss: 1.3435 2023/04/03 00:23:03 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:23:09 - mmengine - INFO - Epoch(train) [54][2800/5005] lr: 4.5295e-05 eta: 5:13:03 time: 0.0747 data_time: 0.0170 memory: 1684 loss: 1.3616 2023/04/03 00:23:17 - mmengine - INFO - Epoch(train) [54][2900/5005] lr: 4.5295e-05 eta: 5:12:55 time: 0.0772 data_time: 0.0181 memory: 1684 loss: 1.2341 2023/04/03 00:23:25 - mmengine - INFO - Epoch(train) [54][3000/5005] lr: 4.5295e-05 eta: 5:12:47 time: 0.0845 data_time: 0.0177 memory: 1684 loss: 1.2834 2023/04/03 00:23:33 - mmengine - INFO - Epoch(train) [54][3100/5005] lr: 4.5295e-05 eta: 5:12:39 time: 0.0800 data_time: 0.0175 memory: 1684 loss: 1.1536 2023/04/03 00:23:41 - mmengine - INFO - Epoch(train) [54][3200/5005] lr: 4.5295e-05 eta: 5:12:30 time: 0.0802 data_time: 0.0175 memory: 1684 loss: 1.3278 2023/04/03 00:23:49 - mmengine - INFO - Epoch(train) [54][3300/5005] lr: 4.5295e-05 eta: 5:12:23 time: 0.0906 data_time: 0.0256 memory: 1684 loss: 1.2492 2023/04/03 00:23:58 - mmengine - INFO - Epoch(train) [54][3400/5005] lr: 4.5295e-05 eta: 5:12:15 time: 0.0865 data_time: 0.0173 memory: 1684 loss: 1.3332 2023/04/03 00:24:06 - mmengine - INFO - Epoch(train) [54][3500/5005] lr: 4.5295e-05 eta: 5:12:07 time: 0.0787 data_time: 0.0174 memory: 1684 loss: 1.1025 2023/04/03 00:24:14 - mmengine - INFO - Epoch(train) [54][3600/5005] lr: 4.5295e-05 eta: 5:11:58 time: 0.0786 data_time: 0.0177 memory: 1684 loss: 1.3134 2023/04/03 00:24:22 - mmengine - INFO - Epoch(train) [54][3700/5005] lr: 4.5295e-05 eta: 5:11:50 time: 0.0769 data_time: 0.0175 memory: 1684 loss: 1.2228 2023/04/03 00:24:25 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:24:30 - mmengine - INFO - Epoch(train) [54][3800/5005] lr: 4.5295e-05 eta: 5:11:42 time: 0.0879 data_time: 0.0179 memory: 1684 loss: 1.2226 2023/04/03 00:24:38 - mmengine - INFO - Epoch(train) [54][3900/5005] lr: 4.5295e-05 eta: 5:11:34 time: 0.0770 data_time: 0.0183 memory: 1684 loss: 1.0681 2023/04/03 00:24:46 - mmengine - INFO - Epoch(train) [54][4000/5005] lr: 4.5295e-05 eta: 5:11:26 time: 0.0754 data_time: 0.0175 memory: 1684 loss: 0.9877 2023/04/03 00:24:54 - mmengine - INFO - Epoch(train) [54][4100/5005] lr: 4.5295e-05 eta: 5:11:17 time: 0.0754 data_time: 0.0177 memory: 1684 loss: 1.2887 2023/04/03 00:25:02 - mmengine - INFO - Epoch(train) [54][4200/5005] lr: 4.5295e-05 eta: 5:11:09 time: 0.0787 data_time: 0.0174 memory: 1684 loss: 1.1462 2023/04/03 00:25:10 - mmengine - INFO - Epoch(train) [54][4300/5005] lr: 4.5295e-05 eta: 5:11:01 time: 0.0801 data_time: 0.0176 memory: 1684 loss: 1.3672 2023/04/03 00:25:18 - mmengine - INFO - Epoch(train) [54][4400/5005] lr: 4.5295e-05 eta: 5:10:53 time: 0.0791 data_time: 0.0175 memory: 1684 loss: 1.2474 2023/04/03 00:25:26 - mmengine - INFO - Epoch(train) [54][4500/5005] lr: 4.5295e-05 eta: 5:10:45 time: 0.0832 data_time: 0.0174 memory: 1684 loss: 1.2591 2023/04/03 00:25:34 - mmengine - INFO - Epoch(train) [54][4600/5005] lr: 4.5295e-05 eta: 5:10:37 time: 0.0931 data_time: 0.0184 memory: 1684 loss: 1.2218 2023/04/03 00:25:42 - mmengine - INFO - Epoch(train) [54][4700/5005] lr: 4.5295e-05 eta: 5:10:28 time: 0.0771 data_time: 0.0176 memory: 1684 loss: 1.1570 2023/04/03 00:25:45 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:25:50 - mmengine - INFO - Epoch(train) [54][4800/5005] lr: 4.5295e-05 eta: 5:10:20 time: 0.0921 data_time: 0.0173 memory: 1684 loss: 1.3379 2023/04/03 00:25:58 - mmengine - INFO - Epoch(train) [54][4900/5005] lr: 4.5295e-05 eta: 5:10:12 time: 0.0793 data_time: 0.0175 memory: 1684 loss: 1.2228 2023/04/03 00:26:06 - mmengine - INFO - Epoch(train) [54][5000/5005] lr: 4.5295e-05 eta: 5:10:04 time: 0.0936 data_time: 0.0179 memory: 1684 loss: 1.0634 2023/04/03 00:26:07 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:26:07 - mmengine - INFO - Saving checkpoint at 54 epochs 2023/04/03 00:26:12 - mmengine - INFO - Epoch(val) [54][100/196] eta: 0:00:03 time: 0.0339 data_time: 0.0082 memory: 1684 2023/04/03 00:26:25 - mmengine - INFO - Epoch(val) [54][196/196] qat.accuracy/top1: 69.6920 qat.accuracy/top5: 89.2200data_time: 0.0168 time: 0.0413 2023/04/03 00:26:29 - mmengine - INFO - Epoch(val) [54][100/196] eta: 0:00:03 time: 0.0355 data_time: 0.0081 memory: 513 2023/04/03 00:26:42 - mmengine - INFO - Epoch(val) [54][196/196] qat.accuracy/top1: 69.6820 qat.accuracy/top5: 89.1360data_time: 0.0111 time: 0.0371 2023/04/03 00:26:45 - mmengine - INFO - Epoch(val) [54][100/196] eta: 0:00:02 time: 0.0246 data_time: 0.0140 memory: 470 2023/04/03 00:26:58 - mmengine - INFO - Epoch(val) [54][196/196] original.accuracy/top1: 69.5580 original.accuracy/top5: 89.1900data_time: 0.0315 time: 0.0413 2023/04/03 00:27:07 - mmengine - INFO - Epoch(train) [55][ 100/5005] lr: 4.3733e-05 eta: 5:09:56 time: 0.0822 data_time: 0.0181 memory: 1735 loss: 1.1342 2023/04/03 00:27:16 - mmengine - INFO - Epoch(train) [55][ 200/5005] lr: 4.3733e-05 eta: 5:09:49 time: 0.0802 data_time: 0.0180 memory: 1735 loss: 1.0907 2023/04/03 00:27:25 - mmengine - INFO - Epoch(train) [55][ 300/5005] lr: 4.3733e-05 eta: 5:09:41 time: 0.0818 data_time: 0.0180 memory: 1735 loss: 1.2342 2023/04/03 00:27:33 - mmengine - INFO - Epoch(train) [55][ 400/5005] lr: 4.3733e-05 eta: 5:09:33 time: 0.0919 data_time: 0.0186 memory: 1735 loss: 1.4540 2023/04/03 00:27:41 - mmengine - INFO - Epoch(train) [55][ 500/5005] lr: 4.3733e-05 eta: 5:09:25 time: 0.0791 data_time: 0.0183 memory: 1735 loss: 1.2962 2023/04/03 00:27:49 - mmengine - INFO - Epoch(train) [55][ 600/5005] lr: 4.3733e-05 eta: 5:09:17 time: 0.0805 data_time: 0.0181 memory: 1735 loss: 1.2387 2023/04/03 00:27:58 - mmengine - INFO - Epoch(train) [55][ 700/5005] lr: 4.3733e-05 eta: 5:09:09 time: 0.0938 data_time: 0.0185 memory: 1735 loss: 1.0944 2023/04/03 00:28:00 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:28:06 - mmengine - INFO - Epoch(train) [55][ 800/5005] lr: 4.3733e-05 eta: 5:09:01 time: 0.0780 data_time: 0.0182 memory: 1735 loss: 1.1920 2023/04/03 00:28:14 - mmengine - INFO - Epoch(train) [55][ 900/5005] lr: 4.3733e-05 eta: 5:08:53 time: 0.0769 data_time: 0.0185 memory: 1735 loss: 1.1228 2023/04/03 00:28:22 - mmengine - INFO - Epoch(train) [55][1000/5005] lr: 4.3733e-05 eta: 5:08:45 time: 0.0753 data_time: 0.0178 memory: 1735 loss: 1.1440 2023/04/03 00:28:30 - mmengine - INFO - Epoch(train) [55][1100/5005] lr: 4.3733e-05 eta: 5:08:37 time: 0.0805 data_time: 0.0179 memory: 1684 loss: 1.4006 2023/04/03 00:28:38 - mmengine - INFO - Epoch(train) [55][1200/5005] lr: 4.3733e-05 eta: 5:08:29 time: 0.0788 data_time: 0.0177 memory: 1684 loss: 1.2575 2023/04/03 00:28:47 - mmengine - INFO - Epoch(train) [55][1300/5005] lr: 4.3733e-05 eta: 5:08:21 time: 0.0799 data_time: 0.0176 memory: 1684 loss: 1.1904 2023/04/03 00:28:55 - mmengine - INFO - Epoch(train) [55][1400/5005] lr: 4.3733e-05 eta: 5:08:13 time: 0.0899 data_time: 0.0176 memory: 1684 loss: 0.9637 2023/04/03 00:29:04 - mmengine - INFO - Epoch(train) [55][1500/5005] lr: 4.3733e-05 eta: 5:08:05 time: 0.0970 data_time: 0.0178 memory: 1684 loss: 1.0482 2023/04/03 00:29:12 - mmengine - INFO - Epoch(train) [55][1600/5005] lr: 4.3733e-05 eta: 5:07:57 time: 0.0773 data_time: 0.0187 memory: 1684 loss: 1.3132 2023/04/03 00:29:20 - mmengine - INFO - Epoch(train) [55][1700/5005] lr: 4.3733e-05 eta: 5:07:49 time: 0.0764 data_time: 0.0175 memory: 1684 loss: 1.0917 2023/04/03 00:29:22 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:29:28 - mmengine - INFO - Epoch(train) [55][1800/5005] lr: 4.3733e-05 eta: 5:07:40 time: 0.0780 data_time: 0.0175 memory: 1684 loss: 1.2814 2023/04/03 00:29:36 - mmengine - INFO - Epoch(train) [55][1900/5005] lr: 4.3733e-05 eta: 5:07:32 time: 0.0888 data_time: 0.0175 memory: 1684 loss: 1.3762 2023/04/03 00:29:44 - mmengine - INFO - Epoch(train) [55][2000/5005] lr: 4.3733e-05 eta: 5:07:24 time: 0.0766 data_time: 0.0176 memory: 1684 loss: 1.1889 2023/04/03 00:29:53 - mmengine - INFO - Epoch(train) [55][2100/5005] lr: 4.3733e-05 eta: 5:07:17 time: 0.0764 data_time: 0.0183 memory: 1684 loss: 1.2538 2023/04/03 00:30:01 - mmengine - INFO - Epoch(train) [55][2200/5005] lr: 4.3733e-05 eta: 5:07:09 time: 0.0791 data_time: 0.0183 memory: 1684 loss: 1.3729 2023/04/03 00:30:09 - mmengine - INFO - Epoch(train) [55][2300/5005] lr: 4.3733e-05 eta: 5:07:00 time: 0.0824 data_time: 0.0186 memory: 1684 loss: 1.0409 2023/04/03 00:30:17 - mmengine - INFO - Epoch(train) [55][2400/5005] lr: 4.3733e-05 eta: 5:06:52 time: 0.0774 data_time: 0.0178 memory: 1684 loss: 1.2838 2023/04/03 00:30:25 - mmengine - INFO - Epoch(train) [55][2500/5005] lr: 4.3733e-05 eta: 5:06:44 time: 0.0779 data_time: 0.0178 memory: 1684 loss: 1.4227 2023/04/03 00:30:34 - mmengine - INFO - Epoch(train) [55][2600/5005] lr: 4.3733e-05 eta: 5:06:36 time: 0.0802 data_time: 0.0177 memory: 1684 loss: 1.2810 2023/04/03 00:30:42 - mmengine - INFO - Epoch(train) [55][2700/5005] lr: 4.3733e-05 eta: 5:06:28 time: 0.0801 data_time: 0.0175 memory: 1684 loss: 1.3356 2023/04/03 00:30:44 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:30:50 - mmengine - INFO - Epoch(train) [55][2800/5005] lr: 4.3733e-05 eta: 5:06:20 time: 0.0769 data_time: 0.0177 memory: 1684 loss: 1.1606 2023/04/03 00:30:58 - mmengine - INFO - Epoch(train) [55][2900/5005] lr: 4.3733e-05 eta: 5:06:12 time: 0.0933 data_time: 0.0173 memory: 1684 loss: 1.1348 2023/04/03 00:31:06 - mmengine - INFO - Epoch(train) [55][3000/5005] lr: 4.3733e-05 eta: 5:06:04 time: 0.0779 data_time: 0.0176 memory: 1684 loss: 1.2251 2023/04/03 00:31:15 - mmengine - INFO - Epoch(train) [55][3100/5005] lr: 4.3733e-05 eta: 5:05:56 time: 0.0751 data_time: 0.0178 memory: 1684 loss: 1.2820 2023/04/03 00:31:22 - mmengine - INFO - Epoch(train) [55][3200/5005] lr: 4.3733e-05 eta: 5:05:47 time: 0.0773 data_time: 0.0181 memory: 1684 loss: 1.1678 2023/04/03 00:31:31 - mmengine - INFO - Epoch(train) [55][3300/5005] lr: 4.3733e-05 eta: 5:05:40 time: 0.0824 data_time: 0.0177 memory: 1684 loss: 1.2506 2023/04/03 00:31:39 - mmengine - INFO - Epoch(train) [55][3400/5005] lr: 4.3733e-05 eta: 5:05:32 time: 0.0828 data_time: 0.0176 memory: 1684 loss: 1.3633 2023/04/03 00:31:48 - mmengine - INFO - Epoch(train) [55][3500/5005] lr: 4.3733e-05 eta: 5:05:24 time: 0.0816 data_time: 0.0176 memory: 1684 loss: 1.1829 2023/04/03 00:31:57 - mmengine - INFO - Epoch(train) [55][3600/5005] lr: 4.3733e-05 eta: 5:05:16 time: 0.1048 data_time: 0.0177 memory: 1684 loss: 1.2753 2023/04/03 00:32:05 - mmengine - INFO - Epoch(train) [55][3700/5005] lr: 4.3733e-05 eta: 5:05:08 time: 0.0790 data_time: 0.0185 memory: 1684 loss: 1.1049 2023/04/03 00:32:07 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:32:13 - mmengine - INFO - Epoch(train) [55][3800/5005] lr: 4.3733e-05 eta: 5:05:00 time: 0.0915 data_time: 0.0178 memory: 1684 loss: 1.2721 2023/04/03 00:32:21 - mmengine - INFO - Epoch(train) [55][3900/5005] lr: 4.3733e-05 eta: 5:04:52 time: 0.0787 data_time: 0.0178 memory: 1684 loss: 1.3077 2023/04/03 00:32:29 - mmengine - INFO - Epoch(train) [55][4000/5005] lr: 4.3733e-05 eta: 5:04:44 time: 0.0758 data_time: 0.0178 memory: 1684 loss: 1.4148 2023/04/03 00:32:37 - mmengine - INFO - Epoch(train) [55][4100/5005] lr: 4.3733e-05 eta: 5:04:36 time: 0.0765 data_time: 0.0171 memory: 1684 loss: 1.1137 2023/04/03 00:32:45 - mmengine - INFO - Epoch(train) [55][4200/5005] lr: 4.3733e-05 eta: 5:04:27 time: 0.0757 data_time: 0.0178 memory: 1684 loss: 1.0282 2023/04/03 00:32:53 - mmengine - INFO - Epoch(train) [55][4300/5005] lr: 4.3733e-05 eta: 5:04:19 time: 0.0776 data_time: 0.0178 memory: 1684 loss: 1.1439 2023/04/03 00:33:01 - mmengine - INFO - Epoch(train) [55][4400/5005] lr: 4.3733e-05 eta: 5:04:11 time: 0.0791 data_time: 0.0175 memory: 1684 loss: 1.2650 2023/04/03 00:33:09 - mmengine - INFO - Epoch(train) [55][4500/5005] lr: 4.3733e-05 eta: 5:04:03 time: 0.0779 data_time: 0.0177 memory: 1684 loss: 1.4588 2023/04/03 00:33:17 - mmengine - INFO - Epoch(train) [55][4600/5005] lr: 4.3733e-05 eta: 5:03:54 time: 0.0768 data_time: 0.0179 memory: 1684 loss: 1.2757 2023/04/03 00:33:25 - mmengine - INFO - Epoch(train) [55][4700/5005] lr: 4.3733e-05 eta: 5:03:46 time: 0.0776 data_time: 0.0182 memory: 1684 loss: 1.3542 2023/04/03 00:33:27 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:33:33 - mmengine - INFO - Epoch(train) [55][4800/5005] lr: 4.3733e-05 eta: 5:03:38 time: 0.0774 data_time: 0.0177 memory: 1684 loss: 1.2871 2023/04/03 00:33:41 - mmengine - INFO - Epoch(train) [55][4900/5005] lr: 4.3733e-05 eta: 5:03:30 time: 0.0802 data_time: 0.0178 memory: 1684 loss: 1.2984 2023/04/03 00:33:49 - mmengine - INFO - Epoch(train) [55][5000/5005] lr: 4.3733e-05 eta: 5:03:22 time: 0.0832 data_time: 0.0183 memory: 1684 loss: 1.2158 2023/04/03 00:33:50 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:33:50 - mmengine - INFO - Saving checkpoint at 55 epochs 2023/04/03 00:33:56 - mmengine - INFO - Epoch(val) [55][100/196] eta: 0:00:04 time: 0.0351 data_time: 0.0101 memory: 1684 2023/04/03 00:34:08 - mmengine - INFO - Epoch(val) [55][196/196] qat.accuracy/top1: 69.8700 qat.accuracy/top5: 89.2460data_time: 0.0117 time: 0.0361 2023/04/03 00:34:13 - mmengine - INFO - Epoch(val) [55][100/196] eta: 0:00:03 time: 0.0364 data_time: 0.0080 memory: 513 2023/04/03 00:34:26 - mmengine - INFO - Epoch(val) [55][196/196] qat.accuracy/top1: 69.8200 qat.accuracy/top5: 89.1860data_time: 0.0068 time: 0.0335 2023/04/03 00:34:29 - mmengine - INFO - Epoch(val) [55][100/196] eta: 0:00:03 time: 0.0241 data_time: 0.0135 memory: 470 2023/04/03 00:34:41 - mmengine - INFO - Epoch(val) [55][196/196] original.accuracy/top1: 69.6740 original.accuracy/top5: 89.2240data_time: 0.0331 time: 0.0431 2023/04/03 00:34:51 - mmengine - INFO - Epoch(train) [56][ 100/5005] lr: 4.2178e-05 eta: 5:03:15 time: 0.0793 data_time: 0.0180 memory: 1735 loss: 1.3835 2023/04/03 00:34:59 - mmengine - INFO - Epoch(train) [56][ 200/5005] lr: 4.2178e-05 eta: 5:03:06 time: 0.0808 data_time: 0.0176 memory: 1735 loss: 1.1449 2023/04/03 00:35:07 - mmengine - INFO - Epoch(train) [56][ 300/5005] lr: 4.2178e-05 eta: 5:02:58 time: 0.0852 data_time: 0.0178 memory: 1735 loss: 1.2218 2023/04/03 00:35:15 - mmengine - INFO - Epoch(train) [56][ 400/5005] lr: 4.2178e-05 eta: 5:02:50 time: 0.0749 data_time: 0.0176 memory: 1735 loss: 1.3433 2023/04/03 00:35:23 - mmengine - INFO - Epoch(train) [56][ 500/5005] lr: 4.2178e-05 eta: 5:02:42 time: 0.0767 data_time: 0.0177 memory: 1735 loss: 1.1033 2023/04/03 00:35:31 - mmengine - INFO - Epoch(train) [56][ 600/5005] lr: 4.2178e-05 eta: 5:02:34 time: 0.0805 data_time: 0.0180 memory: 1735 loss: 1.3678 2023/04/03 00:35:39 - mmengine - INFO - Epoch(train) [56][ 700/5005] lr: 4.2178e-05 eta: 5:02:26 time: 0.0789 data_time: 0.0177 memory: 1735 loss: 1.2027 2023/04/03 00:35:41 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:35:47 - mmengine - INFO - Epoch(train) [56][ 800/5005] lr: 4.2178e-05 eta: 5:02:17 time: 0.0770 data_time: 0.0176 memory: 1735 loss: 1.1334 2023/04/03 00:35:55 - mmengine - INFO - Epoch(train) [56][ 900/5005] lr: 4.2178e-05 eta: 5:02:09 time: 0.0879 data_time: 0.0175 memory: 1735 loss: 1.2706 2023/04/03 00:36:04 - mmengine - INFO - Epoch(train) [56][1000/5005] lr: 4.2178e-05 eta: 5:02:02 time: 0.0889 data_time: 0.0175 memory: 1684 loss: 1.2673 2023/04/03 00:36:13 - mmengine - INFO - Epoch(train) [56][1100/5005] lr: 4.2178e-05 eta: 5:01:54 time: 0.0797 data_time: 0.0189 memory: 1684 loss: 1.1870 2023/04/03 00:36:21 - mmengine - INFO - Epoch(train) [56][1200/5005] lr: 4.2178e-05 eta: 5:01:46 time: 0.0755 data_time: 0.0176 memory: 1684 loss: 0.9953 2023/04/03 00:36:29 - mmengine - INFO - Epoch(train) [56][1300/5005] lr: 4.2178e-05 eta: 5:01:38 time: 0.0761 data_time: 0.0178 memory: 1684 loss: 1.0136 2023/04/03 00:36:37 - mmengine - INFO - Epoch(train) [56][1400/5005] lr: 4.2178e-05 eta: 5:01:29 time: 0.0760 data_time: 0.0174 memory: 1684 loss: 1.2514 2023/04/03 00:36:45 - mmengine - INFO - Epoch(train) [56][1500/5005] lr: 4.2178e-05 eta: 5:01:21 time: 0.0813 data_time: 0.0168 memory: 1684 loss: 1.3950 2023/04/03 00:36:53 - mmengine - INFO - Epoch(train) [56][1600/5005] lr: 4.2178e-05 eta: 5:01:14 time: 0.0862 data_time: 0.0178 memory: 1684 loss: 1.1829 2023/04/03 00:37:01 - mmengine - INFO - Epoch(train) [56][1700/5005] lr: 4.2178e-05 eta: 5:01:05 time: 0.0879 data_time: 0.0178 memory: 1684 loss: 1.0948 2023/04/03 00:37:03 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:37:09 - mmengine - INFO - Epoch(train) [56][1800/5005] lr: 4.2178e-05 eta: 5:00:57 time: 0.0766 data_time: 0.0185 memory: 1684 loss: 1.3583 2023/04/03 00:37:17 - mmengine - INFO - Epoch(train) [56][1900/5005] lr: 4.2178e-05 eta: 5:00:49 time: 0.0757 data_time: 0.0170 memory: 1684 loss: 1.1853 2023/04/03 00:37:25 - mmengine - INFO - Epoch(train) [56][2000/5005] lr: 4.2178e-05 eta: 5:00:40 time: 0.0792 data_time: 0.0184 memory: 1684 loss: 1.2893 2023/04/03 00:37:33 - mmengine - INFO - Epoch(train) [56][2100/5005] lr: 4.2178e-05 eta: 5:00:32 time: 0.0776 data_time: 0.0177 memory: 1684 loss: 1.4078 2023/04/03 00:37:42 - mmengine - INFO - Epoch(train) [56][2200/5005] lr: 4.2178e-05 eta: 5:00:24 time: 0.0793 data_time: 0.0175 memory: 1684 loss: 1.1681 2023/04/03 00:37:50 - mmengine - INFO - Epoch(train) [56][2300/5005] lr: 4.2178e-05 eta: 5:00:17 time: 0.0857 data_time: 0.0169 memory: 1684 loss: 1.3205 2023/04/03 00:37:58 - mmengine - INFO - Epoch(train) [56][2400/5005] lr: 4.2178e-05 eta: 5:00:08 time: 0.0806 data_time: 0.0174 memory: 1684 loss: 1.1877 2023/04/03 00:38:06 - mmengine - INFO - Epoch(train) [56][2500/5005] lr: 4.2178e-05 eta: 5:00:00 time: 0.0777 data_time: 0.0177 memory: 1684 loss: 1.1056 2023/04/03 00:38:15 - mmengine - INFO - Epoch(train) [56][2600/5005] lr: 4.2178e-05 eta: 4:59:52 time: 0.1005 data_time: 0.0302 memory: 1684 loss: 1.3188 2023/04/03 00:38:23 - mmengine - INFO - Epoch(train) [56][2700/5005] lr: 4.2178e-05 eta: 4:59:44 time: 0.0771 data_time: 0.0177 memory: 1684 loss: 1.1277 2023/04/03 00:38:25 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:38:31 - mmengine - INFO - Epoch(train) [56][2800/5005] lr: 4.2178e-05 eta: 4:59:37 time: 0.0770 data_time: 0.0176 memory: 1684 loss: 1.2728 2023/04/03 00:38:40 - mmengine - INFO - Epoch(train) [56][2900/5005] lr: 4.2178e-05 eta: 4:59:29 time: 0.0890 data_time: 0.0176 memory: 1684 loss: 1.1392 2023/04/03 00:38:48 - mmengine - INFO - Epoch(train) [56][3000/5005] lr: 4.2178e-05 eta: 4:59:21 time: 0.0776 data_time: 0.0177 memory: 1684 loss: 1.3525 2023/04/03 00:38:56 - mmengine - INFO - Epoch(train) [56][3100/5005] lr: 4.2178e-05 eta: 4:59:13 time: 0.0786 data_time: 0.0177 memory: 1684 loss: 1.2123 2023/04/03 00:39:05 - mmengine - INFO - Epoch(train) [56][3200/5005] lr: 4.2178e-05 eta: 4:59:05 time: 0.0780 data_time: 0.0175 memory: 1684 loss: 1.2243 2023/04/03 00:39:13 - mmengine - INFO - Epoch(train) [56][3300/5005] lr: 4.2178e-05 eta: 4:58:57 time: 0.0777 data_time: 0.0179 memory: 1684 loss: 1.5541 2023/04/03 00:39:21 - mmengine - INFO - Epoch(train) [56][3400/5005] lr: 4.2178e-05 eta: 4:58:49 time: 0.0778 data_time: 0.0171 memory: 1684 loss: 1.2323 2023/04/03 00:39:29 - mmengine - INFO - Epoch(train) [56][3500/5005] lr: 4.2178e-05 eta: 4:58:41 time: 0.0853 data_time: 0.0176 memory: 1684 loss: 1.1827 2023/04/03 00:39:37 - mmengine - INFO - Epoch(train) [56][3600/5005] lr: 4.2178e-05 eta: 4:58:32 time: 0.0820 data_time: 0.0188 memory: 1684 loss: 1.2261 2023/04/03 00:39:46 - mmengine - INFO - Epoch(train) [56][3700/5005] lr: 4.2178e-05 eta: 4:58:24 time: 0.0906 data_time: 0.0283 memory: 1684 loss: 1.2882 2023/04/03 00:39:48 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:39:54 - mmengine - INFO - Epoch(train) [56][3800/5005] lr: 4.2178e-05 eta: 4:58:17 time: 0.0823 data_time: 0.0178 memory: 1684 loss: 1.2608 2023/04/03 00:40:03 - mmengine - INFO - Epoch(train) [56][3900/5005] lr: 4.2178e-05 eta: 4:58:09 time: 0.0802 data_time: 0.0188 memory: 1684 loss: 1.3295 2023/04/03 00:40:11 - mmengine - INFO - Epoch(train) [56][4000/5005] lr: 4.2178e-05 eta: 4:58:01 time: 0.0791 data_time: 0.0187 memory: 1684 loss: 1.1859 2023/04/03 00:40:19 - mmengine - INFO - Epoch(train) [56][4100/5005] lr: 4.2178e-05 eta: 4:57:53 time: 0.0771 data_time: 0.0183 memory: 1684 loss: 1.3358 2023/04/03 00:40:27 - mmengine - INFO - Epoch(train) [56][4200/5005] lr: 4.2178e-05 eta: 4:57:44 time: 0.0792 data_time: 0.0182 memory: 1684 loss: 1.1544 2023/04/03 00:40:35 - mmengine - INFO - Epoch(train) [56][4300/5005] lr: 4.2178e-05 eta: 4:57:36 time: 0.0912 data_time: 0.0190 memory: 1684 loss: 1.2840 2023/04/03 00:40:43 - mmengine - INFO - Epoch(train) [56][4400/5005] lr: 4.2178e-05 eta: 4:57:28 time: 0.0814 data_time: 0.0185 memory: 1684 loss: 1.4095 2023/04/03 00:40:52 - mmengine - INFO - Epoch(train) [56][4500/5005] lr: 4.2178e-05 eta: 4:57:20 time: 0.0773 data_time: 0.0179 memory: 1684 loss: 1.2734 2023/04/03 00:41:00 - mmengine - INFO - Epoch(train) [56][4600/5005] lr: 4.2178e-05 eta: 4:57:12 time: 0.0792 data_time: 0.0181 memory: 1684 loss: 1.4031 2023/04/03 00:41:08 - mmengine - INFO - Epoch(train) [56][4700/5005] lr: 4.2178e-05 eta: 4:57:04 time: 0.0811 data_time: 0.0176 memory: 1684 loss: 1.1989 2023/04/03 00:41:10 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:41:16 - mmengine - INFO - Epoch(train) [56][4800/5005] lr: 4.2178e-05 eta: 4:56:56 time: 0.0923 data_time: 0.0296 memory: 1684 loss: 1.3394 2023/04/03 00:41:25 - mmengine - INFO - Epoch(train) [56][4900/5005] lr: 4.2178e-05 eta: 4:56:49 time: 0.0801 data_time: 0.0176 memory: 1684 loss: 1.2159 2023/04/03 00:41:33 - mmengine - INFO - Epoch(train) [56][5000/5005] lr: 4.2178e-05 eta: 4:56:41 time: 0.0793 data_time: 0.0187 memory: 1684 loss: 1.2875 2023/04/03 00:41:34 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:41:34 - mmengine - INFO - Saving checkpoint at 56 epochs 2023/04/03 00:41:39 - mmengine - INFO - Epoch(val) [56][100/196] eta: 0:00:03 time: 0.0335 data_time: 0.0079 memory: 1684 2023/04/03 00:41:52 - mmengine - INFO - Epoch(val) [56][196/196] qat.accuracy/top1: 69.7580 qat.accuracy/top5: 89.1960data_time: 0.0082 time: 0.0322 2023/04/03 00:41:57 - mmengine - INFO - Epoch(val) [56][100/196] eta: 0:00:03 time: 0.0357 data_time: 0.0077 memory: 513 2023/04/03 00:42:09 - mmengine - INFO - Epoch(val) [56][196/196] qat.accuracy/top1: 69.6900 qat.accuracy/top5: 89.1960data_time: 0.0067 time: 0.0334 2023/04/03 00:42:12 - mmengine - INFO - Epoch(val) [56][100/196] eta: 0:00:02 time: 0.0252 data_time: 0.0143 memory: 470 2023/04/03 00:42:24 - mmengine - INFO - Epoch(val) [56][196/196] original.accuracy/top1: 69.6200 original.accuracy/top5: 89.1520data_time: 0.0365 time: 0.0462 2023/04/03 00:42:35 - mmengine - INFO - Epoch(train) [57][ 100/5005] lr: 4.0631e-05 eta: 4:56:34 time: 0.0802 data_time: 0.0177 memory: 1735 loss: 1.1300 2023/04/03 00:42:43 - mmengine - INFO - Epoch(train) [57][ 200/5005] lr: 4.0631e-05 eta: 4:56:26 time: 0.0789 data_time: 0.0179 memory: 1735 loss: 1.3330 2023/04/03 00:42:51 - mmengine - INFO - Epoch(train) [57][ 300/5005] lr: 4.0631e-05 eta: 4:56:17 time: 0.0785 data_time: 0.0180 memory: 1735 loss: 1.4745 2023/04/03 00:42:59 - mmengine - INFO - Epoch(train) [57][ 400/5005] lr: 4.0631e-05 eta: 4:56:09 time: 0.0798 data_time: 0.0176 memory: 1735 loss: 1.3381 2023/04/03 00:43:07 - mmengine - INFO - Epoch(train) [57][ 500/5005] lr: 4.0631e-05 eta: 4:56:01 time: 0.0778 data_time: 0.0178 memory: 1735 loss: 1.1608 2023/04/03 00:43:15 - mmengine - INFO - Epoch(train) [57][ 600/5005] lr: 4.0631e-05 eta: 4:55:53 time: 0.0767 data_time: 0.0177 memory: 1684 loss: 1.1790 2023/04/03 00:43:24 - mmengine - INFO - Epoch(train) [57][ 700/5005] lr: 4.0631e-05 eta: 4:55:45 time: 0.0797 data_time: 0.0180 memory: 1684 loss: 1.3208 2023/04/03 00:43:25 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:43:32 - mmengine - INFO - Epoch(train) [57][ 800/5005] lr: 4.0631e-05 eta: 4:55:37 time: 0.0800 data_time: 0.0189 memory: 1684 loss: 1.2396 2023/04/03 00:43:40 - mmengine - INFO - Epoch(train) [57][ 900/5005] lr: 4.0631e-05 eta: 4:55:29 time: 0.0769 data_time: 0.0178 memory: 1684 loss: 1.1777 2023/04/03 00:43:48 - mmengine - INFO - Epoch(train) [57][1000/5005] lr: 4.0631e-05 eta: 4:55:21 time: 0.0782 data_time: 0.0176 memory: 1684 loss: 1.1455 2023/04/03 00:43:56 - mmengine - INFO - Epoch(train) [57][1100/5005] lr: 4.0631e-05 eta: 4:55:13 time: 0.0939 data_time: 0.0177 memory: 1684 loss: 1.0784 2023/04/03 00:44:05 - mmengine - INFO - Epoch(train) [57][1200/5005] lr: 4.0631e-05 eta: 4:55:05 time: 0.0886 data_time: 0.0180 memory: 1684 loss: 1.0943 2023/04/03 00:44:13 - mmengine - INFO - Epoch(train) [57][1300/5005] lr: 4.0631e-05 eta: 4:54:57 time: 0.0791 data_time: 0.0176 memory: 1684 loss: 1.0729 2023/04/03 00:44:21 - mmengine - INFO - Epoch(train) [57][1400/5005] lr: 4.0631e-05 eta: 4:54:49 time: 0.0777 data_time: 0.0177 memory: 1684 loss: 1.3021 2023/04/03 00:44:29 - mmengine - INFO - Epoch(train) [57][1500/5005] lr: 4.0631e-05 eta: 4:54:41 time: 0.0784 data_time: 0.0181 memory: 1684 loss: 1.0687 2023/04/03 00:44:37 - mmengine - INFO - Epoch(train) [57][1600/5005] lr: 4.0631e-05 eta: 4:54:32 time: 0.0870 data_time: 0.0179 memory: 1684 loss: 1.3197 2023/04/03 00:44:45 - mmengine - INFO - Epoch(train) [57][1700/5005] lr: 4.0631e-05 eta: 4:54:24 time: 0.0846 data_time: 0.0176 memory: 1684 loss: 0.9445 2023/04/03 00:44:47 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:44:53 - mmengine - INFO - Epoch(train) [57][1800/5005] lr: 4.0631e-05 eta: 4:54:16 time: 0.0756 data_time: 0.0177 memory: 1684 loss: 1.1573 2023/04/03 00:45:01 - mmengine - INFO - Epoch(train) [57][1900/5005] lr: 4.0631e-05 eta: 4:54:08 time: 0.0767 data_time: 0.0177 memory: 1684 loss: 1.2391 2023/04/03 00:45:09 - mmengine - INFO - Epoch(train) [57][2000/5005] lr: 4.0631e-05 eta: 4:54:00 time: 0.0755 data_time: 0.0174 memory: 1684 loss: 1.3382 2023/04/03 00:45:17 - mmengine - INFO - Epoch(train) [57][2100/5005] lr: 4.0631e-05 eta: 4:53:51 time: 0.0762 data_time: 0.0177 memory: 1684 loss: 1.1489 2023/04/03 00:45:26 - mmengine - INFO - Epoch(train) [57][2200/5005] lr: 4.0631e-05 eta: 4:53:44 time: 0.0842 data_time: 0.0176 memory: 1684 loss: 1.1712 2023/04/03 00:45:34 - mmengine - INFO - Epoch(train) [57][2300/5005] lr: 4.0631e-05 eta: 4:53:36 time: 0.0788 data_time: 0.0175 memory: 1684 loss: 1.1383 2023/04/03 00:45:42 - mmengine - INFO - Epoch(train) [57][2400/5005] lr: 4.0631e-05 eta: 4:53:28 time: 0.0871 data_time: 0.0178 memory: 1684 loss: 1.2366 2023/04/03 00:45:50 - mmengine - INFO - Epoch(train) [57][2500/5005] lr: 4.0631e-05 eta: 4:53:19 time: 0.0796 data_time: 0.0177 memory: 1684 loss: 1.3427 2023/04/03 00:45:58 - mmengine - INFO - Epoch(train) [57][2600/5005] lr: 4.0631e-05 eta: 4:53:11 time: 0.0791 data_time: 0.0177 memory: 1684 loss: 1.2980 2023/04/03 00:46:07 - mmengine - INFO - Epoch(train) [57][2700/5005] lr: 4.0631e-05 eta: 4:53:03 time: 0.0917 data_time: 0.0176 memory: 1684 loss: 1.2229 2023/04/03 00:46:08 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:46:15 - mmengine - INFO - Epoch(train) [57][2800/5005] lr: 4.0631e-05 eta: 4:52:55 time: 0.0904 data_time: 0.0175 memory: 1684 loss: 1.1133 2023/04/03 00:46:23 - mmengine - INFO - Epoch(train) [57][2900/5005] lr: 4.0631e-05 eta: 4:52:47 time: 0.0767 data_time: 0.0175 memory: 1684 loss: 1.3244 2023/04/03 00:46:31 - mmengine - INFO - Epoch(train) [57][3000/5005] lr: 4.0631e-05 eta: 4:52:39 time: 0.0779 data_time: 0.0180 memory: 1684 loss: 1.3549 2023/04/03 00:46:39 - mmengine - INFO - Epoch(train) [57][3100/5005] lr: 4.0631e-05 eta: 4:52:31 time: 0.0785 data_time: 0.0177 memory: 1684 loss: 1.2926 2023/04/03 00:46:47 - mmengine - INFO - Epoch(train) [57][3200/5005] lr: 4.0631e-05 eta: 4:52:23 time: 0.0775 data_time: 0.0177 memory: 1684 loss: 1.1616 2023/04/03 00:46:55 - mmengine - INFO - Epoch(train) [57][3300/5005] lr: 4.0631e-05 eta: 4:52:15 time: 0.0962 data_time: 0.0371 memory: 1684 loss: 1.3363 2023/04/03 00:47:03 - mmengine - INFO - Epoch(train) [57][3400/5005] lr: 4.0631e-05 eta: 4:52:06 time: 0.0760 data_time: 0.0181 memory: 1684 loss: 1.1325 2023/04/03 00:47:11 - mmengine - INFO - Epoch(train) [57][3500/5005] lr: 4.0631e-05 eta: 4:51:58 time: 0.0891 data_time: 0.0179 memory: 1684 loss: 1.1444 2023/04/03 00:47:19 - mmengine - INFO - Epoch(train) [57][3600/5005] lr: 4.0631e-05 eta: 4:51:50 time: 0.0776 data_time: 0.0196 memory: 1684 loss: 1.3156 2023/04/03 00:47:27 - mmengine - INFO - Epoch(train) [57][3700/5005] lr: 4.0631e-05 eta: 4:51:42 time: 0.0764 data_time: 0.0179 memory: 1684 loss: 1.2344 2023/04/03 00:47:29 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:47:35 - mmengine - INFO - Epoch(train) [57][3800/5005] lr: 4.0631e-05 eta: 4:51:34 time: 0.0790 data_time: 0.0173 memory: 1684 loss: 1.2401 2023/04/03 00:47:44 - mmengine - INFO - Epoch(train) [57][3900/5005] lr: 4.0631e-05 eta: 4:51:26 time: 0.0787 data_time: 0.0179 memory: 1684 loss: 1.2402 2023/04/03 00:47:52 - mmengine - INFO - Epoch(train) [57][4000/5005] lr: 4.0631e-05 eta: 4:51:18 time: 0.0771 data_time: 0.0177 memory: 1684 loss: 1.2776 2023/04/03 00:48:00 - mmengine - INFO - Epoch(train) [57][4100/5005] lr: 4.0631e-05 eta: 4:51:09 time: 0.0793 data_time: 0.0178 memory: 1684 loss: 1.0511 2023/04/03 00:48:08 - mmengine - INFO - Epoch(train) [57][4200/5005] lr: 4.0631e-05 eta: 4:51:01 time: 0.0792 data_time: 0.0182 memory: 1684 loss: 1.1908 2023/04/03 00:48:16 - mmengine - INFO - Epoch(train) [57][4300/5005] lr: 4.0631e-05 eta: 4:50:53 time: 0.0776 data_time: 0.0181 memory: 1684 loss: 1.1012 2023/04/03 00:48:24 - mmengine - INFO - Epoch(train) [57][4400/5005] lr: 4.0631e-05 eta: 4:50:45 time: 0.0929 data_time: 0.0184 memory: 1684 loss: 1.1584 2023/04/03 00:48:33 - mmengine - INFO - Epoch(train) [57][4500/5005] lr: 4.0631e-05 eta: 4:50:37 time: 0.0901 data_time: 0.0189 memory: 1684 loss: 1.1249 2023/04/03 00:48:41 - mmengine - INFO - Epoch(train) [57][4600/5005] lr: 4.0631e-05 eta: 4:50:29 time: 0.0775 data_time: 0.0181 memory: 1684 loss: 1.2903 2023/04/03 00:48:49 - mmengine - INFO - Epoch(train) [57][4700/5005] lr: 4.0631e-05 eta: 4:50:21 time: 0.0784 data_time: 0.0181 memory: 1684 loss: 1.1361 2023/04/03 00:48:50 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:48:57 - mmengine - INFO - Epoch(train) [57][4800/5005] lr: 4.0631e-05 eta: 4:50:13 time: 0.0806 data_time: 0.0178 memory: 1684 loss: 1.1144 2023/04/03 00:49:05 - mmengine - INFO - Epoch(train) [57][4900/5005] lr: 4.0631e-05 eta: 4:50:04 time: 0.0778 data_time: 0.0179 memory: 1684 loss: 1.0781 2023/04/03 00:49:13 - mmengine - INFO - Epoch(train) [57][5000/5005] lr: 4.0631e-05 eta: 4:49:56 time: 0.0773 data_time: 0.0188 memory: 1684 loss: 1.3382 2023/04/03 00:49:13 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:49:13 - mmengine - INFO - Saving checkpoint at 57 epochs 2023/04/03 00:49:20 - mmengine - INFO - Epoch(val) [57][100/196] eta: 0:00:04 time: 0.0334 data_time: 0.0078 memory: 1684 2023/04/03 00:49:32 - mmengine - INFO - Epoch(val) [57][196/196] qat.accuracy/top1: 69.8260 qat.accuracy/top5: 89.1740data_time: 0.0120 time: 0.0353 2023/04/03 00:49:37 - mmengine - INFO - Epoch(val) [57][100/196] eta: 0:00:03 time: 0.0351 data_time: 0.0072 memory: 513 2023/04/03 00:49:50 - mmengine - INFO - Epoch(val) [57][196/196] qat.accuracy/top1: 69.7160 qat.accuracy/top5: 89.1520data_time: 0.0067 time: 0.0327 2023/04/03 00:49:53 - mmengine - INFO - Epoch(val) [57][100/196] eta: 0:00:02 time: 0.0264 data_time: 0.0158 memory: 470 2023/04/03 00:50:06 - mmengine - INFO - Epoch(val) [57][196/196] original.accuracy/top1: 69.6620 original.accuracy/top5: 89.2460data_time: 0.0306 time: 0.0404 2023/04/03 00:50:15 - mmengine - INFO - Epoch(train) [58][ 100/5005] lr: 3.9093e-05 eta: 4:49:49 time: 0.0842 data_time: 0.0181 memory: 1735 loss: 1.1621 2023/04/03 00:50:23 - mmengine - INFO - Epoch(train) [58][ 200/5005] lr: 3.9093e-05 eta: 4:49:41 time: 0.0896 data_time: 0.0174 memory: 1735 loss: 1.2713 2023/04/03 00:50:32 - mmengine - INFO - Epoch(train) [58][ 300/5005] lr: 3.9093e-05 eta: 4:49:33 time: 0.0924 data_time: 0.0178 memory: 1735 loss: 1.2498 2023/04/03 00:50:40 - mmengine - INFO - Epoch(train) [58][ 400/5005] lr: 3.9093e-05 eta: 4:49:24 time: 0.0763 data_time: 0.0176 memory: 1735 loss: 1.1893 2023/04/03 00:50:48 - mmengine - INFO - Epoch(train) [58][ 500/5005] lr: 3.9093e-05 eta: 4:49:16 time: 0.0815 data_time: 0.0181 memory: 1735 loss: 1.1634 2023/04/03 00:50:57 - mmengine - INFO - Epoch(train) [58][ 600/5005] lr: 3.9093e-05 eta: 4:49:09 time: 0.0894 data_time: 0.0173 memory: 1735 loss: 1.2418 2023/04/03 00:51:05 - mmengine - INFO - Epoch(train) [58][ 700/5005] lr: 3.9093e-05 eta: 4:49:00 time: 0.0790 data_time: 0.0174 memory: 1735 loss: 1.1043 2023/04/03 00:51:06 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:51:13 - mmengine - INFO - Epoch(train) [58][ 800/5005] lr: 3.9093e-05 eta: 4:48:52 time: 0.0837 data_time: 0.0169 memory: 1735 loss: 1.2255 2023/04/03 00:51:21 - mmengine - INFO - Epoch(train) [58][ 900/5005] lr: 3.9093e-05 eta: 4:48:44 time: 0.0770 data_time: 0.0173 memory: 1735 loss: 1.1194 2023/04/03 00:51:29 - mmengine - INFO - Epoch(train) [58][1000/5005] lr: 3.9093e-05 eta: 4:48:36 time: 0.0777 data_time: 0.0175 memory: 1735 loss: 1.2873 2023/04/03 00:51:38 - mmengine - INFO - Epoch(train) [58][1100/5005] lr: 3.9093e-05 eta: 4:48:28 time: 0.0793 data_time: 0.0177 memory: 1735 loss: 1.1133 2023/04/03 00:51:46 - mmengine - INFO - Epoch(train) [58][1200/5005] lr: 3.9093e-05 eta: 4:48:21 time: 0.0840 data_time: 0.0174 memory: 1684 loss: 1.4993 2023/04/03 00:51:55 - mmengine - INFO - Epoch(train) [58][1300/5005] lr: 3.9093e-05 eta: 4:48:13 time: 0.0813 data_time: 0.0172 memory: 1684 loss: 0.9488 2023/04/03 00:52:04 - mmengine - INFO - Epoch(train) [58][1400/5005] lr: 3.9093e-05 eta: 4:48:05 time: 0.0772 data_time: 0.0175 memory: 1684 loss: 1.2754 2023/04/03 00:52:12 - mmengine - INFO - Epoch(train) [58][1500/5005] lr: 3.9093e-05 eta: 4:47:57 time: 0.0915 data_time: 0.0173 memory: 1684 loss: 1.2203 2023/04/03 00:52:20 - mmengine - INFO - Epoch(train) [58][1600/5005] lr: 3.9093e-05 eta: 4:47:49 time: 0.0802 data_time: 0.0176 memory: 1684 loss: 1.1956 2023/04/03 00:52:29 - mmengine - INFO - Epoch(train) [58][1700/5005] lr: 3.9093e-05 eta: 4:47:42 time: 0.0905 data_time: 0.0174 memory: 1684 loss: 1.0990 2023/04/03 00:52:30 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:52:38 - mmengine - INFO - Epoch(train) [58][1800/5005] lr: 3.9093e-05 eta: 4:47:34 time: 0.0926 data_time: 0.0176 memory: 1684 loss: 1.2104 2023/04/03 00:52:46 - mmengine - INFO - Epoch(train) [58][1900/5005] lr: 3.9093e-05 eta: 4:47:26 time: 0.0881 data_time: 0.0175 memory: 1684 loss: 1.1808 2023/04/03 00:52:54 - mmengine - INFO - Epoch(train) [58][2000/5005] lr: 3.9093e-05 eta: 4:47:17 time: 0.0761 data_time: 0.0176 memory: 1684 loss: 0.9603 2023/04/03 00:53:02 - mmengine - INFO - Epoch(train) [58][2100/5005] lr: 3.9093e-05 eta: 4:47:09 time: 0.0807 data_time: 0.0175 memory: 1684 loss: 1.1870 2023/04/03 00:53:10 - mmengine - INFO - Epoch(train) [58][2200/5005] lr: 3.9093e-05 eta: 4:47:01 time: 0.0796 data_time: 0.0175 memory: 1684 loss: 1.1243 2023/04/03 00:53:18 - mmengine - INFO - Epoch(train) [58][2300/5005] lr: 3.9093e-05 eta: 4:46:53 time: 0.0824 data_time: 0.0175 memory: 1684 loss: 1.1714 2023/04/03 00:53:27 - mmengine - INFO - Epoch(train) [58][2400/5005] lr: 3.9093e-05 eta: 4:46:45 time: 0.0855 data_time: 0.0176 memory: 1684 loss: 1.2267 2023/04/03 00:53:35 - mmengine - INFO - Epoch(train) [58][2500/5005] lr: 3.9093e-05 eta: 4:46:37 time: 0.0780 data_time: 0.0175 memory: 1684 loss: 1.3897 2023/04/03 00:53:43 - mmengine - INFO - Epoch(train) [58][2600/5005] lr: 3.9093e-05 eta: 4:46:29 time: 0.0888 data_time: 0.0175 memory: 1684 loss: 1.1590 2023/04/03 00:53:51 - mmengine - INFO - Epoch(train) [58][2700/5005] lr: 3.9093e-05 eta: 4:46:21 time: 0.0761 data_time: 0.0177 memory: 1684 loss: 1.1717 2023/04/03 00:53:52 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:53:59 - mmengine - INFO - Epoch(train) [58][2800/5005] lr: 3.9093e-05 eta: 4:46:13 time: 0.0867 data_time: 0.0186 memory: 1684 loss: 1.1185 2023/04/03 00:54:08 - mmengine - INFO - Epoch(train) [58][2900/5005] lr: 3.9093e-05 eta: 4:46:05 time: 0.0800 data_time: 0.0183 memory: 1684 loss: 1.1987 2023/04/03 00:54:16 - mmengine - INFO - Epoch(train) [58][3000/5005] lr: 3.9093e-05 eta: 4:45:57 time: 0.0982 data_time: 0.0175 memory: 1684 loss: 1.1229 2023/04/03 00:54:24 - mmengine - INFO - Epoch(train) [58][3100/5005] lr: 3.9093e-05 eta: 4:45:49 time: 0.0788 data_time: 0.0176 memory: 1684 loss: 1.1842 2023/04/03 00:54:33 - mmengine - INFO - Epoch(train) [58][3200/5005] lr: 3.9093e-05 eta: 4:45:41 time: 0.0836 data_time: 0.0178 memory: 1684 loss: 1.2476 2023/04/03 00:54:41 - mmengine - INFO - Epoch(train) [58][3300/5005] lr: 3.9093e-05 eta: 4:45:33 time: 0.0771 data_time: 0.0176 memory: 1684 loss: 1.2903 2023/04/03 00:54:49 - mmengine - INFO - Epoch(train) [58][3400/5005] lr: 3.9093e-05 eta: 4:45:25 time: 0.0894 data_time: 0.0187 memory: 1684 loss: 1.3167 2023/04/03 00:54:58 - mmengine - INFO - Epoch(train) [58][3500/5005] lr: 3.9093e-05 eta: 4:45:17 time: 0.0800 data_time: 0.0176 memory: 1684 loss: 1.2614 2023/04/03 00:55:06 - mmengine - INFO - Epoch(train) [58][3600/5005] lr: 3.9093e-05 eta: 4:45:09 time: 0.0803 data_time: 0.0174 memory: 1684 loss: 1.2285 2023/04/03 00:55:14 - mmengine - INFO - Epoch(train) [58][3700/5005] lr: 3.9093e-05 eta: 4:45:01 time: 0.0803 data_time: 0.0176 memory: 1684 loss: 1.1120 2023/04/03 00:55:16 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:55:23 - mmengine - INFO - Epoch(train) [58][3800/5005] lr: 3.9093e-05 eta: 4:44:54 time: 0.1071 data_time: 0.0176 memory: 1684 loss: 1.2064 2023/04/03 00:55:31 - mmengine - INFO - Epoch(train) [58][3900/5005] lr: 3.9093e-05 eta: 4:44:46 time: 0.0916 data_time: 0.0176 memory: 1684 loss: 1.3676 2023/04/03 00:55:40 - mmengine - INFO - Epoch(train) [58][4000/5005] lr: 3.9093e-05 eta: 4:44:38 time: 0.0826 data_time: 0.0181 memory: 1684 loss: 1.1765 2023/04/03 00:55:48 - mmengine - INFO - Epoch(train) [58][4100/5005] lr: 3.9093e-05 eta: 4:44:30 time: 0.0844 data_time: 0.0177 memory: 1684 loss: 1.3109 2023/04/03 00:55:56 - mmengine - INFO - Epoch(train) [58][4200/5005] lr: 3.9093e-05 eta: 4:44:22 time: 0.0822 data_time: 0.0175 memory: 1684 loss: 1.1620 2023/04/03 00:56:05 - mmengine - INFO - Epoch(train) [58][4300/5005] lr: 3.9093e-05 eta: 4:44:14 time: 0.0769 data_time: 0.0178 memory: 1684 loss: 1.2926 2023/04/03 00:56:13 - mmengine - INFO - Epoch(train) [58][4400/5005] lr: 3.9093e-05 eta: 4:44:06 time: 0.0774 data_time: 0.0176 memory: 1684 loss: 1.2379 2023/04/03 00:56:21 - mmengine - INFO - Epoch(train) [58][4500/5005] lr: 3.9093e-05 eta: 4:43:58 time: 0.0772 data_time: 0.0175 memory: 1684 loss: 1.3421 2023/04/03 00:56:29 - mmengine - INFO - Epoch(train) [58][4600/5005] lr: 3.9093e-05 eta: 4:43:49 time: 0.0783 data_time: 0.0174 memory: 1684 loss: 1.2079 2023/04/03 00:56:37 - mmengine - INFO - Epoch(train) [58][4700/5005] lr: 3.9093e-05 eta: 4:43:41 time: 0.0791 data_time: 0.0178 memory: 1684 loss: 1.2428 2023/04/03 00:56:38 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:56:45 - mmengine - INFO - Epoch(train) [58][4800/5005] lr: 3.9093e-05 eta: 4:43:33 time: 0.0786 data_time: 0.0181 memory: 1684 loss: 1.2266 2023/04/03 00:56:53 - mmengine - INFO - Epoch(train) [58][4900/5005] lr: 3.9093e-05 eta: 4:43:25 time: 0.0797 data_time: 0.0175 memory: 1684 loss: 1.0887 2023/04/03 00:57:02 - mmengine - INFO - Epoch(train) [58][5000/5005] lr: 3.9093e-05 eta: 4:43:17 time: 0.0796 data_time: 0.0184 memory: 1684 loss: 1.2394 2023/04/03 00:57:02 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:57:02 - mmengine - INFO - Saving checkpoint at 58 epochs 2023/04/03 00:57:07 - mmengine - INFO - Epoch(val) [58][100/196] eta: 0:00:03 time: 0.0332 data_time: 0.0075 memory: 1684 2023/04/03 00:57:20 - mmengine - INFO - Epoch(val) [58][196/196] qat.accuracy/top1: 69.7800 qat.accuracy/top5: 89.2580data_time: 0.0070 time: 0.0311 2023/04/03 00:57:24 - mmengine - INFO - Epoch(val) [58][100/196] eta: 0:00:03 time: 0.0362 data_time: 0.0082 memory: 513 2023/04/03 00:57:37 - mmengine - INFO - Epoch(val) [58][196/196] qat.accuracy/top1: 69.7520 qat.accuracy/top5: 89.1840data_time: 0.0190 time: 0.0455 2023/04/03 00:57:40 - mmengine - INFO - Epoch(val) [58][100/196] eta: 0:00:02 time: 0.0259 data_time: 0.0144 memory: 470 2023/04/03 00:57:52 - mmengine - INFO - Epoch(val) [58][196/196] original.accuracy/top1: 69.6640 original.accuracy/top5: 89.2560data_time: 0.0339 time: 0.0436 2023/04/03 00:58:01 - mmengine - INFO - Epoch(train) [59][ 100/5005] lr: 3.7566e-05 eta: 4:43:09 time: 0.0841 data_time: 0.0176 memory: 1735 loss: 1.2089 2023/04/03 00:58:09 - mmengine - INFO - Epoch(train) [59][ 200/5005] lr: 3.7566e-05 eta: 4:43:01 time: 0.0832 data_time: 0.0175 memory: 1684 loss: 1.2581 2023/04/03 00:58:18 - mmengine - INFO - Epoch(train) [59][ 300/5005] lr: 3.7566e-05 eta: 4:42:54 time: 0.0835 data_time: 0.0223 memory: 1684 loss: 1.2308 2023/04/03 00:58:26 - mmengine - INFO - Epoch(train) [59][ 400/5005] lr: 3.7566e-05 eta: 4:42:46 time: 0.0785 data_time: 0.0176 memory: 1684 loss: 1.1380 2023/04/03 00:58:35 - mmengine - INFO - Epoch(train) [59][ 500/5005] lr: 3.7566e-05 eta: 4:42:37 time: 0.0770 data_time: 0.0175 memory: 1684 loss: 1.3108 2023/04/03 00:58:43 - mmengine - INFO - Epoch(train) [59][ 600/5005] lr: 3.7566e-05 eta: 4:42:29 time: 0.0759 data_time: 0.0181 memory: 1684 loss: 1.2579 2023/04/03 00:58:51 - mmengine - INFO - Epoch(train) [59][ 700/5005] lr: 3.7566e-05 eta: 4:42:21 time: 0.0789 data_time: 0.0173 memory: 1684 loss: 1.1743 2023/04/03 00:58:52 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 00:58:59 - mmengine - INFO - Epoch(train) [59][ 800/5005] lr: 3.7566e-05 eta: 4:42:13 time: 0.0765 data_time: 0.0175 memory: 1684 loss: 1.1468 2023/04/03 00:59:07 - mmengine - INFO - Epoch(train) [59][ 900/5005] lr: 3.7566e-05 eta: 4:42:05 time: 0.0785 data_time: 0.0175 memory: 1684 loss: 1.1162 2023/04/03 00:59:15 - mmengine - INFO - Epoch(train) [59][1000/5005] lr: 3.7566e-05 eta: 4:41:57 time: 0.0846 data_time: 0.0176 memory: 1684 loss: 1.2693 2023/04/03 00:59:23 - mmengine - INFO - Epoch(train) [59][1100/5005] lr: 3.7566e-05 eta: 4:41:49 time: 0.0767 data_time: 0.0175 memory: 1684 loss: 1.2701 2023/04/03 00:59:31 - mmengine - INFO - Epoch(train) [59][1200/5005] lr: 3.7566e-05 eta: 4:41:40 time: 0.0763 data_time: 0.0176 memory: 1684 loss: 1.1888 2023/04/03 00:59:39 - mmengine - INFO - Epoch(train) [59][1300/5005] lr: 3.7566e-05 eta: 4:41:32 time: 0.0777 data_time: 0.0177 memory: 1684 loss: 1.2122 2023/04/03 00:59:47 - mmengine - INFO - Epoch(train) [59][1400/5005] lr: 3.7566e-05 eta: 4:41:24 time: 0.0780 data_time: 0.0176 memory: 1684 loss: 1.2137 2023/04/03 00:59:55 - mmengine - INFO - Epoch(train) [59][1500/5005] lr: 3.7566e-05 eta: 4:41:16 time: 0.0783 data_time: 0.0177 memory: 1684 loss: 1.3106 2023/04/03 01:00:03 - mmengine - INFO - Epoch(train) [59][1600/5005] lr: 3.7566e-05 eta: 4:41:08 time: 0.0846 data_time: 0.0173 memory: 1684 loss: 1.1675 2023/04/03 01:00:11 - mmengine - INFO - Epoch(train) [59][1700/5005] lr: 3.7566e-05 eta: 4:41:00 time: 0.0789 data_time: 0.0179 memory: 1684 loss: 1.0975 2023/04/03 01:00:12 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:00:20 - mmengine - INFO - Epoch(train) [59][1800/5005] lr: 3.7566e-05 eta: 4:40:52 time: 0.0958 data_time: 0.0176 memory: 1684 loss: 1.2486 2023/04/03 01:00:28 - mmengine - INFO - Epoch(train) [59][1900/5005] lr: 3.7566e-05 eta: 4:40:44 time: 0.0793 data_time: 0.0176 memory: 1684 loss: 1.3519 2023/04/03 01:00:37 - mmengine - INFO - Epoch(train) [59][2000/5005] lr: 3.7566e-05 eta: 4:40:36 time: 0.1114 data_time: 0.0175 memory: 1684 loss: 1.1021 2023/04/03 01:00:44 - mmengine - INFO - Epoch(train) [59][2100/5005] lr: 3.7566e-05 eta: 4:40:27 time: 0.0793 data_time: 0.0175 memory: 1684 loss: 1.4532 2023/04/03 01:00:52 - mmengine - INFO - Epoch(train) [59][2200/5005] lr: 3.7566e-05 eta: 4:40:19 time: 0.0785 data_time: 0.0174 memory: 1684 loss: 1.2105 2023/04/03 01:01:00 - mmengine - INFO - Epoch(train) [59][2300/5005] lr: 3.7566e-05 eta: 4:40:11 time: 0.0788 data_time: 0.0176 memory: 1684 loss: 1.3193 2023/04/03 01:01:09 - mmengine - INFO - Epoch(train) [59][2400/5005] lr: 3.7566e-05 eta: 4:40:03 time: 0.0786 data_time: 0.0177 memory: 1684 loss: 1.2823 2023/04/03 01:01:17 - mmengine - INFO - Epoch(train) [59][2500/5005] lr: 3.7566e-05 eta: 4:39:55 time: 0.0800 data_time: 0.0175 memory: 1684 loss: 1.3486 2023/04/03 01:01:26 - mmengine - INFO - Epoch(train) [59][2600/5005] lr: 3.7566e-05 eta: 4:39:47 time: 0.0797 data_time: 0.0173 memory: 1684 loss: 1.2189 2023/04/03 01:01:34 - mmengine - INFO - Epoch(train) [59][2700/5005] lr: 3.7566e-05 eta: 4:39:39 time: 0.0769 data_time: 0.0175 memory: 1684 loss: 1.0850 2023/04/03 01:01:35 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:01:42 - mmengine - INFO - Epoch(train) [59][2800/5005] lr: 3.7566e-05 eta: 4:39:31 time: 0.0798 data_time: 0.0175 memory: 1684 loss: 1.3292 2023/04/03 01:01:51 - mmengine - INFO - Epoch(train) [59][2900/5005] lr: 3.7566e-05 eta: 4:39:24 time: 0.0897 data_time: 0.0280 memory: 1684 loss: 1.3328 2023/04/03 01:01:59 - mmengine - INFO - Epoch(train) [59][3000/5005] lr: 3.7566e-05 eta: 4:39:15 time: 0.0785 data_time: 0.0185 memory: 1684 loss: 1.5957 2023/04/03 01:02:07 - mmengine - INFO - Epoch(train) [59][3100/5005] lr: 3.7566e-05 eta: 4:39:08 time: 0.0940 data_time: 0.0175 memory: 1684 loss: 1.0961 2023/04/03 01:02:15 - mmengine - INFO - Epoch(train) [59][3200/5005] lr: 3.7566e-05 eta: 4:38:59 time: 0.0761 data_time: 0.0178 memory: 1684 loss: 1.3218 2023/04/03 01:02:24 - mmengine - INFO - Epoch(train) [59][3300/5005] lr: 3.7566e-05 eta: 4:38:51 time: 0.0834 data_time: 0.0175 memory: 1684 loss: 1.3607 2023/04/03 01:02:32 - mmengine - INFO - Epoch(train) [59][3400/5005] lr: 3.7566e-05 eta: 4:38:43 time: 0.0792 data_time: 0.0175 memory: 1684 loss: 1.2051 2023/04/03 01:02:40 - mmengine - INFO - Epoch(train) [59][3500/5005] lr: 3.7566e-05 eta: 4:38:35 time: 0.0789 data_time: 0.0177 memory: 1684 loss: 1.1690 2023/04/03 01:02:48 - mmengine - INFO - Epoch(train) [59][3600/5005] lr: 3.7566e-05 eta: 4:38:27 time: 0.0797 data_time: 0.0176 memory: 1684 loss: 1.3757 2023/04/03 01:02:57 - mmengine - INFO - Epoch(train) [59][3700/5005] lr: 3.7566e-05 eta: 4:38:19 time: 0.0784 data_time: 0.0174 memory: 1684 loss: 1.2124 2023/04/03 01:02:57 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:03:05 - mmengine - INFO - Epoch(train) [59][3800/5005] lr: 3.7566e-05 eta: 4:38:11 time: 0.0769 data_time: 0.0177 memory: 1684 loss: 1.2596 2023/04/03 01:03:13 - mmengine - INFO - Epoch(train) [59][3900/5005] lr: 3.7566e-05 eta: 4:38:03 time: 0.0924 data_time: 0.0177 memory: 1684 loss: 1.1558 2023/04/03 01:03:21 - mmengine - INFO - Epoch(train) [59][4000/5005] lr: 3.7566e-05 eta: 4:37:55 time: 0.1064 data_time: 0.0178 memory: 1684 loss: 1.1690 2023/04/03 01:03:29 - mmengine - INFO - Epoch(train) [59][4100/5005] lr: 3.7566e-05 eta: 4:37:47 time: 0.0794 data_time: 0.0178 memory: 1684 loss: 1.0420 2023/04/03 01:03:38 - mmengine - INFO - Epoch(train) [59][4200/5005] lr: 3.7566e-05 eta: 4:37:39 time: 0.0790 data_time: 0.0174 memory: 1684 loss: 1.3666 2023/04/03 01:03:46 - mmengine - INFO - Epoch(train) [59][4300/5005] lr: 3.7566e-05 eta: 4:37:31 time: 0.0843 data_time: 0.0176 memory: 1684 loss: 1.2537 2023/04/03 01:03:54 - mmengine - INFO - Epoch(train) [59][4400/5005] lr: 3.7566e-05 eta: 4:37:23 time: 0.0771 data_time: 0.0171 memory: 1684 loss: 1.2752 2023/04/03 01:04:02 - mmengine - INFO - Epoch(train) [59][4500/5005] lr: 3.7566e-05 eta: 4:37:15 time: 0.0807 data_time: 0.0175 memory: 1684 loss: 1.2362 2023/04/03 01:04:11 - mmengine - INFO - Epoch(train) [59][4600/5005] lr: 3.7566e-05 eta: 4:37:07 time: 0.0805 data_time: 0.0176 memory: 1684 loss: 1.3243 2023/04/03 01:04:19 - mmengine - INFO - Epoch(train) [59][4700/5005] lr: 3.7566e-05 eta: 4:36:59 time: 0.0774 data_time: 0.0183 memory: 1684 loss: 1.4693 2023/04/03 01:04:20 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:04:27 - mmengine - INFO - Epoch(train) [59][4800/5005] lr: 3.7566e-05 eta: 4:36:50 time: 0.0774 data_time: 0.0177 memory: 1684 loss: 1.3513 2023/04/03 01:04:35 - mmengine - INFO - Epoch(train) [59][4900/5005] lr: 3.7566e-05 eta: 4:36:43 time: 0.0795 data_time: 0.0168 memory: 1684 loss: 1.1109 2023/04/03 01:04:44 - mmengine - INFO - Epoch(train) [59][5000/5005] lr: 3.7566e-05 eta: 4:36:35 time: 0.0825 data_time: 0.0187 memory: 1684 loss: 1.5224 2023/04/03 01:04:44 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:04:45 - mmengine - INFO - Saving checkpoint at 59 epochs 2023/04/03 01:04:51 - mmengine - INFO - Epoch(val) [59][100/196] eta: 0:00:04 time: 0.0340 data_time: 0.0077 memory: 1684 2023/04/03 01:05:03 - mmengine - INFO - Epoch(val) [59][196/196] qat.accuracy/top1: 69.8580 qat.accuracy/top5: 89.1840data_time: 0.0074 time: 0.0308 2023/04/03 01:05:07 - mmengine - INFO - Epoch(val) [59][100/196] eta: 0:00:03 time: 0.0362 data_time: 0.0079 memory: 513 2023/04/03 01:05:21 - mmengine - INFO - Epoch(val) [59][196/196] qat.accuracy/top1: 69.7920 qat.accuracy/top5: 89.1040data_time: 0.0068 time: 0.0340 2023/04/03 01:05:25 - mmengine - INFO - Epoch(val) [59][100/196] eta: 0:00:03 time: 0.0209 data_time: 0.0098 memory: 470 2023/04/03 01:05:37 - mmengine - INFO - Epoch(val) [59][196/196] original.accuracy/top1: 69.6960 original.accuracy/top5: 89.1840data_time: 0.0187 time: 0.0289 2023/04/03 01:05:47 - mmengine - INFO - Epoch(train) [60][ 100/5005] lr: 3.6050e-05 eta: 4:36:27 time: 0.0934 data_time: 0.0177 memory: 1735 loss: 1.1837 2023/04/03 01:05:55 - mmengine - INFO - Epoch(train) [60][ 200/5005] lr: 3.6050e-05 eta: 4:36:19 time: 0.0800 data_time: 0.0179 memory: 1735 loss: 1.0924 2023/04/03 01:06:03 - mmengine - INFO - Epoch(train) [60][ 300/5005] lr: 3.6050e-05 eta: 4:36:11 time: 0.0802 data_time: 0.0177 memory: 1735 loss: 1.2479 2023/04/03 01:06:12 - mmengine - INFO - Epoch(train) [60][ 400/5005] lr: 3.6050e-05 eta: 4:36:03 time: 0.0821 data_time: 0.0176 memory: 1735 loss: 1.0985 2023/04/03 01:06:20 - mmengine - INFO - Epoch(train) [60][ 500/5005] lr: 3.6050e-05 eta: 4:35:55 time: 0.0799 data_time: 0.0181 memory: 1735 loss: 1.3102 2023/04/03 01:06:28 - mmengine - INFO - Epoch(train) [60][ 600/5005] lr: 3.6050e-05 eta: 4:35:47 time: 0.0801 data_time: 0.0180 memory: 1735 loss: 1.2959 2023/04/03 01:06:37 - mmengine - INFO - Epoch(train) [60][ 700/5005] lr: 3.6050e-05 eta: 4:35:39 time: 0.0811 data_time: 0.0178 memory: 1735 loss: 1.2305 2023/04/03 01:06:37 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:06:46 - mmengine - INFO - Epoch(train) [60][ 800/5005] lr: 3.6050e-05 eta: 4:35:32 time: 0.0864 data_time: 0.0176 memory: 1735 loss: 1.1984 2023/04/03 01:06:54 - mmengine - INFO - Epoch(train) [60][ 900/5005] lr: 3.6050e-05 eta: 4:35:23 time: 0.0762 data_time: 0.0177 memory: 1735 loss: 1.3456 2023/04/03 01:07:02 - mmengine - INFO - Epoch(train) [60][1000/5005] lr: 3.6050e-05 eta: 4:35:15 time: 0.0770 data_time: 0.0175 memory: 1735 loss: 1.1002 2023/04/03 01:07:10 - mmengine - INFO - Epoch(train) [60][1100/5005] lr: 3.6050e-05 eta: 4:35:07 time: 0.0794 data_time: 0.0185 memory: 1735 loss: 1.1954 2023/04/03 01:07:18 - mmengine - INFO - Epoch(train) [60][1200/5005] lr: 3.6050e-05 eta: 4:34:59 time: 0.0756 data_time: 0.0176 memory: 1684 loss: 1.2405 2023/04/03 01:07:26 - mmengine - INFO - Epoch(train) [60][1300/5005] lr: 3.6050e-05 eta: 4:34:51 time: 0.0788 data_time: 0.0177 memory: 1684 loss: 1.1845 2023/04/03 01:07:34 - mmengine - INFO - Epoch(train) [60][1400/5005] lr: 3.6050e-05 eta: 4:34:43 time: 0.0751 data_time: 0.0178 memory: 1684 loss: 0.9411 2023/04/03 01:07:42 - mmengine - INFO - Epoch(train) [60][1500/5005] lr: 3.6050e-05 eta: 4:34:35 time: 0.0774 data_time: 0.0176 memory: 1684 loss: 1.2567 2023/04/03 01:07:51 - mmengine - INFO - Epoch(train) [60][1600/5005] lr: 3.6050e-05 eta: 4:34:27 time: 0.0912 data_time: 0.0175 memory: 1684 loss: 1.3558 2023/04/03 01:07:59 - mmengine - INFO - Epoch(train) [60][1700/5005] lr: 3.6050e-05 eta: 4:34:19 time: 0.0877 data_time: 0.0178 memory: 1684 loss: 1.1011 2023/04/03 01:07:59 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:08:07 - mmengine - INFO - Epoch(train) [60][1800/5005] lr: 3.6050e-05 eta: 4:34:10 time: 0.0794 data_time: 0.0176 memory: 1684 loss: 1.0547 2023/04/03 01:08:15 - mmengine - INFO - Epoch(train) [60][1900/5005] lr: 3.6050e-05 eta: 4:34:02 time: 0.0857 data_time: 0.0175 memory: 1684 loss: 1.2949 2023/04/03 01:08:23 - mmengine - INFO - Epoch(train) [60][2000/5005] lr: 3.6050e-05 eta: 4:33:54 time: 0.0783 data_time: 0.0178 memory: 1684 loss: 1.2131 2023/04/03 01:08:32 - mmengine - INFO - Epoch(train) [60][2100/5005] lr: 3.6050e-05 eta: 4:33:46 time: 0.0802 data_time: 0.0176 memory: 1684 loss: 1.2684 2023/04/03 01:08:40 - mmengine - INFO - Epoch(train) [60][2200/5005] lr: 3.6050e-05 eta: 4:33:38 time: 0.0778 data_time: 0.0177 memory: 1684 loss: 1.2573 2023/04/03 01:08:48 - mmengine - INFO - Epoch(train) [60][2300/5005] lr: 3.6050e-05 eta: 4:33:30 time: 0.0791 data_time: 0.0177 memory: 1684 loss: 1.1680 2023/04/03 01:08:56 - mmengine - INFO - Epoch(train) [60][2400/5005] lr: 3.6050e-05 eta: 4:33:22 time: 0.0788 data_time: 0.0178 memory: 1684 loss: 1.0127 2023/04/03 01:09:05 - mmengine - INFO - Epoch(train) [60][2500/5005] lr: 3.6050e-05 eta: 4:33:14 time: 0.0806 data_time: 0.0176 memory: 1684 loss: 1.3228 2023/04/03 01:09:13 - mmengine - INFO - Epoch(train) [60][2600/5005] lr: 3.6050e-05 eta: 4:33:06 time: 0.0765 data_time: 0.0176 memory: 1684 loss: 1.1005 2023/04/03 01:09:21 - mmengine - INFO - Epoch(train) [60][2700/5005] lr: 3.6050e-05 eta: 4:32:58 time: 0.0775 data_time: 0.0178 memory: 1684 loss: 1.1186 2023/04/03 01:09:21 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:09:30 - mmengine - INFO - Epoch(train) [60][2800/5005] lr: 3.6050e-05 eta: 4:32:50 time: 0.0781 data_time: 0.0180 memory: 1684 loss: 1.1724 2023/04/03 01:09:38 - mmengine - INFO - Epoch(train) [60][2900/5005] lr: 3.6050e-05 eta: 4:32:42 time: 0.0921 data_time: 0.0181 memory: 1684 loss: 1.1332 2023/04/03 01:09:45 - mmengine - INFO - Epoch(train) [60][3000/5005] lr: 3.6050e-05 eta: 4:32:34 time: 0.0782 data_time: 0.0178 memory: 1684 loss: 1.2108 2023/04/03 01:09:54 - mmengine - INFO - Epoch(train) [60][3100/5005] lr: 3.6050e-05 eta: 4:32:26 time: 0.0776 data_time: 0.0177 memory: 1684 loss: 1.2678 2023/04/03 01:10:02 - mmengine - INFO - Epoch(train) [60][3200/5005] lr: 3.6050e-05 eta: 4:32:18 time: 0.0827 data_time: 0.0176 memory: 1684 loss: 1.3422 2023/04/03 01:10:10 - mmengine - INFO - Epoch(train) [60][3300/5005] lr: 3.6050e-05 eta: 4:32:10 time: 0.0766 data_time: 0.0175 memory: 1684 loss: 1.3439 2023/04/03 01:10:18 - mmengine - INFO - Epoch(train) [60][3400/5005] lr: 3.6050e-05 eta: 4:32:01 time: 0.0772 data_time: 0.0179 memory: 1684 loss: 1.1828 2023/04/03 01:10:26 - mmengine - INFO - Epoch(train) [60][3500/5005] lr: 3.6050e-05 eta: 4:31:53 time: 0.0768 data_time: 0.0176 memory: 1684 loss: 1.2785 2023/04/03 01:10:34 - mmengine - INFO - Epoch(train) [60][3600/5005] lr: 3.6050e-05 eta: 4:31:45 time: 0.0911 data_time: 0.0177 memory: 1684 loss: 1.1473 2023/04/03 01:10:43 - mmengine - INFO - Epoch(train) [60][3700/5005] lr: 3.6050e-05 eta: 4:31:37 time: 0.0957 data_time: 0.0176 memory: 1684 loss: 1.2624 2023/04/03 01:10:43 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:10:51 - mmengine - INFO - Epoch(train) [60][3800/5005] lr: 3.6050e-05 eta: 4:31:29 time: 0.0776 data_time: 0.0178 memory: 1684 loss: 1.1248 2023/04/03 01:10:59 - mmengine - INFO - Epoch(train) [60][3900/5005] lr: 3.6050e-05 eta: 4:31:21 time: 0.0816 data_time: 0.0187 memory: 1684 loss: 1.2929 2023/04/03 01:11:08 - mmengine - INFO - Epoch(train) [60][4000/5005] lr: 3.6050e-05 eta: 4:31:13 time: 0.0809 data_time: 0.0174 memory: 1684 loss: 1.2811 2023/04/03 01:11:16 - mmengine - INFO - Epoch(train) [60][4100/5005] lr: 3.6050e-05 eta: 4:31:05 time: 0.0802 data_time: 0.0175 memory: 1684 loss: 1.2012 2023/04/03 01:11:24 - mmengine - INFO - Epoch(train) [60][4200/5005] lr: 3.6050e-05 eta: 4:30:57 time: 0.0828 data_time: 0.0179 memory: 1684 loss: 1.1769 2023/04/03 01:11:33 - mmengine - INFO - Epoch(train) [60][4300/5005] lr: 3.6050e-05 eta: 4:30:49 time: 0.0880 data_time: 0.0179 memory: 1684 loss: 1.2064 2023/04/03 01:11:42 - mmengine - INFO - Epoch(train) [60][4400/5005] lr: 3.6050e-05 eta: 4:30:42 time: 0.0834 data_time: 0.0177 memory: 1684 loss: 1.1384 2023/04/03 01:11:50 - mmengine - INFO - Epoch(train) [60][4500/5005] lr: 3.6050e-05 eta: 4:30:34 time: 0.0883 data_time: 0.0179 memory: 1684 loss: 1.0873 2023/04/03 01:11:58 - mmengine - INFO - Epoch(train) [60][4600/5005] lr: 3.6050e-05 eta: 4:30:26 time: 0.0860 data_time: 0.0180 memory: 1684 loss: 1.1908 2023/04/03 01:12:07 - mmengine - INFO - Epoch(train) [60][4700/5005] lr: 3.6050e-05 eta: 4:30:18 time: 0.0768 data_time: 0.0182 memory: 1684 loss: 1.2715 2023/04/03 01:12:07 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:12:14 - mmengine - INFO - Epoch(train) [60][4800/5005] lr: 3.6050e-05 eta: 4:30:09 time: 0.0769 data_time: 0.0183 memory: 1684 loss: 1.1143 2023/04/03 01:12:23 - mmengine - INFO - Epoch(train) [60][4900/5005] lr: 3.6050e-05 eta: 4:30:02 time: 0.0917 data_time: 0.0182 memory: 1684 loss: 1.0718 2023/04/03 01:12:32 - mmengine - INFO - Epoch(train) [60][5000/5005] lr: 3.6050e-05 eta: 4:29:54 time: 0.0960 data_time: 0.0191 memory: 1684 loss: 1.1570 2023/04/03 01:12:32 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:12:32 - mmengine - INFO - Saving checkpoint at 60 epochs 2023/04/03 01:12:38 - mmengine - INFO - Epoch(val) [60][100/196] eta: 0:00:04 time: 0.0337 data_time: 0.0085 memory: 1684 2023/04/03 01:12:50 - mmengine - INFO - Epoch(val) [60][196/196] qat.accuracy/top1: 69.9220 qat.accuracy/top5: 89.2440data_time: 0.0076 time: 0.0308 2023/04/03 01:12:55 - mmengine - INFO - Epoch(val) [60][100/196] eta: 0:00:03 time: 0.0362 data_time: 0.0081 memory: 513 2023/04/03 01:13:08 - mmengine - INFO - Epoch(val) [60][196/196] qat.accuracy/top1: 69.8860 qat.accuracy/top5: 89.1860data_time: 0.0071 time: 0.0340 2023/04/03 01:13:11 - mmengine - INFO - Epoch(val) [60][100/196] eta: 0:00:02 time: 0.0233 data_time: 0.0103 memory: 470 2023/04/03 01:13:23 - mmengine - INFO - Epoch(val) [60][196/196] original.accuracy/top1: 69.6800 original.accuracy/top5: 89.2320data_time: 0.0316 time: 0.0416 2023/04/03 01:13:33 - mmengine - INFO - Epoch(train) [61][ 100/5005] lr: 3.4549e-05 eta: 4:29:46 time: 0.1024 data_time: 0.0186 memory: 1735 loss: 1.0488 2023/04/03 01:13:41 - mmengine - INFO - Epoch(train) [61][ 200/5005] lr: 3.4549e-05 eta: 4:29:38 time: 0.0914 data_time: 0.0178 memory: 1735 loss: 1.1688 2023/04/03 01:13:49 - mmengine - INFO - Epoch(train) [61][ 300/5005] lr: 3.4549e-05 eta: 4:29:30 time: 0.0789 data_time: 0.0177 memory: 1735 loss: 1.0986 2023/04/03 01:13:58 - mmengine - INFO - Epoch(train) [61][ 400/5005] lr: 3.4549e-05 eta: 4:29:23 time: 0.0781 data_time: 0.0177 memory: 1735 loss: 1.1530 2023/04/03 01:14:07 - mmengine - INFO - Epoch(train) [61][ 500/5005] lr: 3.4549e-05 eta: 4:29:15 time: 0.0777 data_time: 0.0178 memory: 1735 loss: 1.2964 2023/04/03 01:14:15 - mmengine - INFO - Epoch(train) [61][ 600/5005] lr: 3.4549e-05 eta: 4:29:07 time: 0.0787 data_time: 0.0176 memory: 1735 loss: 1.1245 2023/04/03 01:14:23 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:14:23 - mmengine - INFO - Epoch(train) [61][ 700/5005] lr: 3.4549e-05 eta: 4:28:59 time: 0.0788 data_time: 0.0193 memory: 1735 loss: 1.4909 2023/04/03 01:14:31 - mmengine - INFO - Epoch(train) [61][ 800/5005] lr: 3.4549e-05 eta: 4:28:50 time: 0.0802 data_time: 0.0176 memory: 1735 loss: 1.1139 2023/04/03 01:14:39 - mmengine - INFO - Epoch(train) [61][ 900/5005] lr: 3.4549e-05 eta: 4:28:42 time: 0.0796 data_time: 0.0189 memory: 1735 loss: 1.3018 2023/04/03 01:14:48 - mmengine - INFO - Epoch(train) [61][1000/5005] lr: 3.4549e-05 eta: 4:28:35 time: 0.0938 data_time: 0.0320 memory: 1735 loss: 1.2094 2023/04/03 01:14:56 - mmengine - INFO - Epoch(train) [61][1100/5005] lr: 3.4549e-05 eta: 4:28:27 time: 0.0776 data_time: 0.0179 memory: 1684 loss: 1.2352 2023/04/03 01:15:05 - mmengine - INFO - Epoch(train) [61][1200/5005] lr: 3.4549e-05 eta: 4:28:19 time: 0.1006 data_time: 0.0175 memory: 1684 loss: 1.1493 2023/04/03 01:15:13 - mmengine - INFO - Epoch(train) [61][1300/5005] lr: 3.4549e-05 eta: 4:28:11 time: 0.0843 data_time: 0.0189 memory: 1684 loss: 1.4244 2023/04/03 01:15:21 - mmengine - INFO - Epoch(train) [61][1400/5005] lr: 3.4549e-05 eta: 4:28:03 time: 0.0769 data_time: 0.0189 memory: 1684 loss: 1.3551 2023/04/03 01:15:29 - mmengine - INFO - Epoch(train) [61][1500/5005] lr: 3.4549e-05 eta: 4:27:54 time: 0.0770 data_time: 0.0178 memory: 1684 loss: 1.1282 2023/04/03 01:15:37 - mmengine - INFO - Epoch(train) [61][1600/5005] lr: 3.4549e-05 eta: 4:27:46 time: 0.0771 data_time: 0.0178 memory: 1684 loss: 1.3242 2023/04/03 01:15:45 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:15:45 - mmengine - INFO - Epoch(train) [61][1700/5005] lr: 3.4549e-05 eta: 4:27:38 time: 0.0768 data_time: 0.0178 memory: 1684 loss: 1.1255 2023/04/03 01:15:54 - mmengine - INFO - Epoch(train) [61][1800/5005] lr: 3.4549e-05 eta: 4:27:30 time: 0.0803 data_time: 0.0174 memory: 1684 loss: 1.4330 2023/04/03 01:16:02 - mmengine - INFO - Epoch(train) [61][1900/5005] lr: 3.4549e-05 eta: 4:27:22 time: 0.0844 data_time: 0.0178 memory: 1684 loss: 1.0826 2023/04/03 01:16:11 - mmengine - INFO - Epoch(train) [61][2000/5005] lr: 3.4549e-05 eta: 4:27:14 time: 0.0797 data_time: 0.0176 memory: 1684 loss: 1.1339 2023/04/03 01:16:19 - mmengine - INFO - Epoch(train) [61][2100/5005] lr: 3.4549e-05 eta: 4:27:06 time: 0.0876 data_time: 0.0180 memory: 1684 loss: 1.2552 2023/04/03 01:16:28 - mmengine - INFO - Epoch(train) [61][2200/5005] lr: 3.4549e-05 eta: 4:26:59 time: 0.0923 data_time: 0.0177 memory: 1684 loss: 1.1713 2023/04/03 01:16:36 - mmengine - INFO - Epoch(train) [61][2300/5005] lr: 3.4549e-05 eta: 4:26:51 time: 0.0834 data_time: 0.0175 memory: 1684 loss: 1.1370 2023/04/03 01:16:45 - mmengine - INFO - Epoch(train) [61][2400/5005] lr: 3.4549e-05 eta: 4:26:43 time: 0.0792 data_time: 0.0176 memory: 1684 loss: 1.3039 2023/04/03 01:16:53 - mmengine - INFO - Epoch(train) [61][2500/5005] lr: 3.4549e-05 eta: 4:26:35 time: 0.0792 data_time: 0.0176 memory: 1684 loss: 1.1690 2023/04/03 01:17:02 - mmengine - INFO - Epoch(train) [61][2600/5005] lr: 3.4549e-05 eta: 4:26:27 time: 0.0878 data_time: 0.0294 memory: 1684 loss: 1.1820 2023/04/03 01:17:10 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:17:10 - mmengine - INFO - Epoch(train) [61][2700/5005] lr: 3.4549e-05 eta: 4:26:19 time: 0.0870 data_time: 0.0181 memory: 1684 loss: 1.2291 2023/04/03 01:17:18 - mmengine - INFO - Epoch(train) [61][2800/5005] lr: 3.4549e-05 eta: 4:26:11 time: 0.0796 data_time: 0.0180 memory: 1684 loss: 1.1672 2023/04/03 01:17:26 - mmengine - INFO - Epoch(train) [61][2900/5005] lr: 3.4549e-05 eta: 4:26:03 time: 0.0911 data_time: 0.0176 memory: 1684 loss: 1.0980 2023/04/03 01:17:34 - mmengine - INFO - Epoch(train) [61][3000/5005] lr: 3.4549e-05 eta: 4:25:55 time: 0.0775 data_time: 0.0184 memory: 1684 loss: 1.1195 2023/04/03 01:17:43 - mmengine - INFO - Epoch(train) [61][3100/5005] lr: 3.4549e-05 eta: 4:25:47 time: 0.0799 data_time: 0.0176 memory: 1684 loss: 1.1869 2023/04/03 01:17:51 - mmengine - INFO - Epoch(train) [61][3200/5005] lr: 3.4549e-05 eta: 4:25:38 time: 0.0811 data_time: 0.0177 memory: 1684 loss: 1.1675 2023/04/03 01:17:59 - mmengine - INFO - Epoch(train) [61][3300/5005] lr: 3.4549e-05 eta: 4:25:30 time: 0.0778 data_time: 0.0177 memory: 1684 loss: 1.4476 2023/04/03 01:18:07 - mmengine - INFO - Epoch(train) [61][3400/5005] lr: 3.4549e-05 eta: 4:25:22 time: 0.0776 data_time: 0.0176 memory: 1684 loss: 1.1261 2023/04/03 01:18:15 - mmengine - INFO - Epoch(train) [61][3500/5005] lr: 3.4549e-05 eta: 4:25:14 time: 0.0804 data_time: 0.0177 memory: 1684 loss: 1.2259 2023/04/03 01:18:23 - mmengine - INFO - Epoch(train) [61][3600/5005] lr: 3.4549e-05 eta: 4:25:06 time: 0.0773 data_time: 0.0178 memory: 1684 loss: 1.3034 2023/04/03 01:18:32 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:18:32 - mmengine - INFO - Epoch(train) [61][3700/5005] lr: 3.4549e-05 eta: 4:24:58 time: 0.0799 data_time: 0.0178 memory: 1684 loss: 1.2255 2023/04/03 01:18:40 - mmengine - INFO - Epoch(train) [61][3800/5005] lr: 3.4549e-05 eta: 4:24:50 time: 0.0765 data_time: 0.0180 memory: 1684 loss: 1.2684 2023/04/03 01:18:48 - mmengine - INFO - Epoch(train) [61][3900/5005] lr: 3.4549e-05 eta: 4:24:42 time: 0.0766 data_time: 0.0177 memory: 1684 loss: 1.0729 2023/04/03 01:18:56 - mmengine - INFO - Epoch(train) [61][4000/5005] lr: 3.4549e-05 eta: 4:24:34 time: 0.0792 data_time: 0.0175 memory: 1684 loss: 1.2005 2023/04/03 01:19:05 - mmengine - INFO - Epoch(train) [61][4100/5005] lr: 3.4549e-05 eta: 4:24:26 time: 0.0939 data_time: 0.0176 memory: 1684 loss: 1.2389 2023/04/03 01:19:13 - mmengine - INFO - Epoch(train) [61][4200/5005] lr: 3.4549e-05 eta: 4:24:18 time: 0.0812 data_time: 0.0179 memory: 1684 loss: 1.1653 2023/04/03 01:19:21 - mmengine - INFO - Epoch(train) [61][4300/5005] lr: 3.4549e-05 eta: 4:24:10 time: 0.0773 data_time: 0.0184 memory: 1684 loss: 1.0395 2023/04/03 01:19:29 - mmengine - INFO - Epoch(train) [61][4400/5005] lr: 3.4549e-05 eta: 4:24:02 time: 0.0774 data_time: 0.0177 memory: 1684 loss: 1.2172 2023/04/03 01:19:38 - mmengine - INFO - Epoch(train) [61][4500/5005] lr: 3.4549e-05 eta: 4:23:54 time: 0.0803 data_time: 0.0178 memory: 1684 loss: 1.2268 2023/04/03 01:19:46 - mmengine - INFO - Epoch(train) [61][4600/5005] lr: 3.4549e-05 eta: 4:23:46 time: 0.0920 data_time: 0.0178 memory: 1684 loss: 1.2235 2023/04/03 01:19:54 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:19:54 - mmengine - INFO - Epoch(train) [61][4700/5005] lr: 3.4549e-05 eta: 4:23:38 time: 0.0762 data_time: 0.0176 memory: 1684 loss: 1.2393 2023/04/03 01:20:02 - mmengine - INFO - Epoch(train) [61][4800/5005] lr: 3.4549e-05 eta: 4:23:30 time: 0.0788 data_time: 0.0177 memory: 1684 loss: 1.2258 2023/04/03 01:20:11 - mmengine - INFO - Epoch(train) [61][4900/5005] lr: 3.4549e-05 eta: 4:23:22 time: 0.0804 data_time: 0.0177 memory: 1684 loss: 1.2406 2023/04/03 01:20:20 - mmengine - INFO - Epoch(train) [61][5000/5005] lr: 3.4549e-05 eta: 4:23:14 time: 0.0783 data_time: 0.0188 memory: 1684 loss: 1.2915 2023/04/03 01:20:20 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:20:20 - mmengine - INFO - Saving checkpoint at 61 epochs 2023/04/03 01:20:26 - mmengine - INFO - Epoch(val) [61][100/196] eta: 0:00:03 time: 0.0339 data_time: 0.0081 memory: 1684 2023/04/03 01:20:38 - mmengine - INFO - Epoch(val) [61][196/196] qat.accuracy/top1: 69.7960 qat.accuracy/top5: 89.1760data_time: 0.0092 time: 0.0334 2023/04/03 01:20:43 - mmengine - INFO - Epoch(val) [61][100/196] eta: 0:00:04 time: 0.0369 data_time: 0.0087 memory: 513 2023/04/03 01:20:56 - mmengine - INFO - Epoch(val) [61][196/196] qat.accuracy/top1: 69.7280 qat.accuracy/top5: 89.1900data_time: 0.0068 time: 0.0337 2023/04/03 01:20:59 - mmengine - INFO - Epoch(val) [61][100/196] eta: 0:00:02 time: 0.0241 data_time: 0.0131 memory: 470 2023/04/03 01:21:11 - mmengine - INFO - Epoch(val) [61][196/196] original.accuracy/top1: 69.6040 original.accuracy/top5: 89.1620data_time: 0.0324 time: 0.0430 2023/04/03 01:21:20 - mmengine - INFO - Epoch(train) [62][ 100/5005] lr: 3.3063e-05 eta: 4:23:06 time: 0.0865 data_time: 0.0197 memory: 1735 loss: 1.2231 2023/04/03 01:21:29 - mmengine - INFO - Epoch(train) [62][ 200/5005] lr: 3.3063e-05 eta: 4:22:58 time: 0.0804 data_time: 0.0193 memory: 1735 loss: 1.1981 2023/04/03 01:21:37 - mmengine - INFO - Epoch(train) [62][ 300/5005] lr: 3.3063e-05 eta: 4:22:50 time: 0.0804 data_time: 0.0182 memory: 1735 loss: 1.2406 2023/04/03 01:21:46 - mmengine - INFO - Epoch(train) [62][ 400/5005] lr: 3.3063e-05 eta: 4:22:43 time: 0.0872 data_time: 0.0196 memory: 1735 loss: 0.9783 2023/04/03 01:21:54 - mmengine - INFO - Epoch(train) [62][ 500/5005] lr: 3.3063e-05 eta: 4:22:35 time: 0.0822 data_time: 0.0181 memory: 1735 loss: 1.1503 2023/04/03 01:22:03 - mmengine - INFO - Epoch(train) [62][ 600/5005] lr: 3.3063e-05 eta: 4:22:27 time: 0.0783 data_time: 0.0181 memory: 1735 loss: 1.1761 2023/04/03 01:22:11 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:22:11 - mmengine - INFO - Epoch(train) [62][ 700/5005] lr: 3.3063e-05 eta: 4:22:19 time: 0.0792 data_time: 0.0182 memory: 1684 loss: 1.2273 2023/04/03 01:22:19 - mmengine - INFO - Epoch(train) [62][ 800/5005] lr: 3.3063e-05 eta: 4:22:11 time: 0.0787 data_time: 0.0180 memory: 1684 loss: 1.1359 2023/04/03 01:22:28 - mmengine - INFO - Epoch(train) [62][ 900/5005] lr: 3.3063e-05 eta: 4:22:03 time: 0.0791 data_time: 0.0178 memory: 1684 loss: 1.3092 2023/04/03 01:22:35 - mmengine - INFO - Epoch(train) [62][1000/5005] lr: 3.3063e-05 eta: 4:21:54 time: 0.0763 data_time: 0.0179 memory: 1684 loss: 1.2199 2023/04/03 01:22:44 - mmengine - INFO - Epoch(train) [62][1100/5005] lr: 3.3063e-05 eta: 4:21:46 time: 0.0770 data_time: 0.0184 memory: 1684 loss: 1.3862 2023/04/03 01:22:52 - mmengine - INFO - Epoch(train) [62][1200/5005] lr: 3.3063e-05 eta: 4:21:38 time: 0.0803 data_time: 0.0181 memory: 1684 loss: 1.2437 2023/04/03 01:23:00 - mmengine - INFO - Epoch(train) [62][1300/5005] lr: 3.3063e-05 eta: 4:21:30 time: 0.0795 data_time: 0.0181 memory: 1684 loss: 1.2123 2023/04/03 01:23:09 - mmengine - INFO - Epoch(train) [62][1400/5005] lr: 3.3063e-05 eta: 4:21:22 time: 0.0813 data_time: 0.0179 memory: 1684 loss: 1.3076 2023/04/03 01:23:17 - mmengine - INFO - Epoch(train) [62][1500/5005] lr: 3.3063e-05 eta: 4:21:14 time: 0.0864 data_time: 0.0179 memory: 1684 loss: 1.2626 2023/04/03 01:23:25 - mmengine - INFO - Epoch(train) [62][1600/5005] lr: 3.3063e-05 eta: 4:21:06 time: 0.0770 data_time: 0.0182 memory: 1684 loss: 1.2391 2023/04/03 01:23:33 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:23:33 - mmengine - INFO - Epoch(train) [62][1700/5005] lr: 3.3063e-05 eta: 4:20:58 time: 0.0805 data_time: 0.0177 memory: 1684 loss: 1.0499 2023/04/03 01:23:41 - mmengine - INFO - Epoch(train) [62][1800/5005] lr: 3.3063e-05 eta: 4:20:50 time: 0.0924 data_time: 0.0183 memory: 1684 loss: 1.2452 2023/04/03 01:23:50 - mmengine - INFO - Epoch(train) [62][1900/5005] lr: 3.3063e-05 eta: 4:20:42 time: 0.0765 data_time: 0.0179 memory: 1684 loss: 1.2958 2023/04/03 01:23:58 - mmengine - INFO - Epoch(train) [62][2000/5005] lr: 3.3063e-05 eta: 4:20:34 time: 0.0778 data_time: 0.0181 memory: 1684 loss: 1.2359 2023/04/03 01:24:06 - mmengine - INFO - Epoch(train) [62][2100/5005] lr: 3.3063e-05 eta: 4:20:26 time: 0.0798 data_time: 0.0180 memory: 1684 loss: 1.1363 2023/04/03 01:24:14 - mmengine - INFO - Epoch(train) [62][2200/5005] lr: 3.3063e-05 eta: 4:20:18 time: 0.0779 data_time: 0.0184 memory: 1684 loss: 1.1586 2023/04/03 01:24:22 - mmengine - INFO - Epoch(train) [62][2300/5005] lr: 3.3063e-05 eta: 4:20:09 time: 0.0821 data_time: 0.0189 memory: 1684 loss: 1.2911 2023/04/03 01:24:30 - mmengine - INFO - Epoch(train) [62][2400/5005] lr: 3.3063e-05 eta: 4:20:01 time: 0.0779 data_time: 0.0180 memory: 1684 loss: 1.3946 2023/04/03 01:24:39 - mmengine - INFO - Epoch(train) [62][2500/5005] lr: 3.3063e-05 eta: 4:19:53 time: 0.0782 data_time: 0.0176 memory: 1684 loss: 1.2856 2023/04/03 01:24:46 - mmengine - INFO - Epoch(train) [62][2600/5005] lr: 3.3063e-05 eta: 4:19:45 time: 0.0777 data_time: 0.0187 memory: 1684 loss: 1.1492 2023/04/03 01:24:54 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:24:55 - mmengine - INFO - Epoch(train) [62][2700/5005] lr: 3.3063e-05 eta: 4:19:37 time: 0.0765 data_time: 0.0183 memory: 1684 loss: 1.4333 2023/04/03 01:25:03 - mmengine - INFO - Epoch(train) [62][2800/5005] lr: 3.3063e-05 eta: 4:19:29 time: 0.0778 data_time: 0.0183 memory: 1684 loss: 1.3546 2023/04/03 01:25:11 - mmengine - INFO - Epoch(train) [62][2900/5005] lr: 3.3063e-05 eta: 4:19:21 time: 0.0803 data_time: 0.0181 memory: 1684 loss: 1.2711 2023/04/03 01:25:19 - mmengine - INFO - Epoch(train) [62][3000/5005] lr: 3.3063e-05 eta: 4:19:13 time: 0.0914 data_time: 0.0181 memory: 1684 loss: 1.1863 2023/04/03 01:25:28 - mmengine - INFO - Epoch(train) [62][3100/5005] lr: 3.3063e-05 eta: 4:19:05 time: 0.0829 data_time: 0.0183 memory: 1684 loss: 1.0968 2023/04/03 01:25:35 - mmengine - INFO - Epoch(train) [62][3200/5005] lr: 3.3063e-05 eta: 4:18:56 time: 0.0817 data_time: 0.0177 memory: 1684 loss: 1.2091 2023/04/03 01:25:44 - mmengine - INFO - Epoch(train) [62][3300/5005] lr: 3.3063e-05 eta: 4:18:48 time: 0.0823 data_time: 0.0177 memory: 1684 loss: 1.1866 2023/04/03 01:25:52 - mmengine - INFO - Epoch(train) [62][3400/5005] lr: 3.3063e-05 eta: 4:18:40 time: 0.0849 data_time: 0.0178 memory: 1684 loss: 1.2805 2023/04/03 01:26:00 - mmengine - INFO - Epoch(train) [62][3500/5005] lr: 3.3063e-05 eta: 4:18:32 time: 0.0795 data_time: 0.0178 memory: 1684 loss: 1.1023 2023/04/03 01:26:09 - mmengine - INFO - Epoch(train) [62][3600/5005] lr: 3.3063e-05 eta: 4:18:24 time: 0.0799 data_time: 0.0176 memory: 1684 loss: 1.2625 2023/04/03 01:26:16 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:26:17 - mmengine - INFO - Epoch(train) [62][3700/5005] lr: 3.3063e-05 eta: 4:18:16 time: 0.0765 data_time: 0.0177 memory: 1684 loss: 1.2423 2023/04/03 01:26:25 - mmengine - INFO - Epoch(train) [62][3800/5005] lr: 3.3063e-05 eta: 4:18:08 time: 0.0773 data_time: 0.0176 memory: 1684 loss: 1.1225 2023/04/03 01:26:33 - mmengine - INFO - Epoch(train) [62][3900/5005] lr: 3.3063e-05 eta: 4:18:00 time: 0.0766 data_time: 0.0187 memory: 1684 loss: 1.0996 2023/04/03 01:26:41 - mmengine - INFO - Epoch(train) [62][4000/5005] lr: 3.3063e-05 eta: 4:17:52 time: 0.0922 data_time: 0.0342 memory: 1684 loss: 1.1309 2023/04/03 01:26:49 - mmengine - INFO - Epoch(train) [62][4100/5005] lr: 3.3063e-05 eta: 4:17:44 time: 0.0776 data_time: 0.0176 memory: 1684 loss: 1.0684 2023/04/03 01:26:57 - mmengine - INFO - Epoch(train) [62][4200/5005] lr: 3.3063e-05 eta: 4:17:35 time: 0.0762 data_time: 0.0178 memory: 1684 loss: 1.0643 2023/04/03 01:27:05 - mmengine - INFO - Epoch(train) [62][4300/5005] lr: 3.3063e-05 eta: 4:17:27 time: 0.0780 data_time: 0.0180 memory: 1684 loss: 1.3754 2023/04/03 01:27:13 - mmengine - INFO - Epoch(train) [62][4400/5005] lr: 3.3063e-05 eta: 4:17:19 time: 0.0768 data_time: 0.0179 memory: 1684 loss: 1.1823 2023/04/03 01:27:21 - mmengine - INFO - Epoch(train) [62][4500/5005] lr: 3.3063e-05 eta: 4:17:11 time: 0.0793 data_time: 0.0184 memory: 1684 loss: 1.4446 2023/04/03 01:27:29 - mmengine - INFO - Epoch(train) [62][4600/5005] lr: 3.3063e-05 eta: 4:17:03 time: 0.0782 data_time: 0.0179 memory: 1684 loss: 1.3305 2023/04/03 01:27:37 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:27:38 - mmengine - INFO - Epoch(train) [62][4700/5005] lr: 3.3063e-05 eta: 4:16:55 time: 0.0782 data_time: 0.0181 memory: 1684 loss: 1.0929 2023/04/03 01:27:46 - mmengine - INFO - Epoch(train) [62][4800/5005] lr: 3.3063e-05 eta: 4:16:46 time: 0.0793 data_time: 0.0181 memory: 1684 loss: 1.1937 2023/04/03 01:27:54 - mmengine - INFO - Epoch(train) [62][4900/5005] lr: 3.3063e-05 eta: 4:16:38 time: 0.0774 data_time: 0.0182 memory: 1684 loss: 1.2717 2023/04/03 01:28:02 - mmengine - INFO - Epoch(train) [62][5000/5005] lr: 3.3063e-05 eta: 4:16:30 time: 0.0767 data_time: 0.0195 memory: 1684 loss: 1.3880 2023/04/03 01:28:02 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:28:02 - mmengine - INFO - Saving checkpoint at 62 epochs 2023/04/03 01:28:08 - mmengine - INFO - Epoch(val) [62][100/196] eta: 0:00:03 time: 0.0326 data_time: 0.0075 memory: 1684 2023/04/03 01:28:21 - mmengine - INFO - Epoch(val) [62][196/196] qat.accuracy/top1: 69.9080 qat.accuracy/top5: 89.2020data_time: 0.0116 time: 0.0356 2023/04/03 01:28:25 - mmengine - INFO - Epoch(val) [62][100/196] eta: 0:00:03 time: 0.0349 data_time: 0.0078 memory: 513 2023/04/03 01:28:38 - mmengine - INFO - Epoch(val) [62][196/196] qat.accuracy/top1: 69.8460 qat.accuracy/top5: 89.1840data_time: 0.0076 time: 0.0338 2023/04/03 01:28:41 - mmengine - INFO - Epoch(val) [62][100/196] eta: 0:00:02 time: 0.0252 data_time: 0.0152 memory: 470 2023/04/03 01:28:54 - mmengine - INFO - Epoch(val) [62][196/196] original.accuracy/top1: 69.7800 original.accuracy/top5: 89.2200data_time: 0.0296 time: 0.0392 2023/04/03 01:29:03 - mmengine - INFO - Epoch(train) [63][ 100/5005] lr: 3.1594e-05 eta: 4:16:22 time: 0.0816 data_time: 0.0173 memory: 1735 loss: 1.1495 2023/04/03 01:29:11 - mmengine - INFO - Epoch(train) [63][ 200/5005] lr: 3.1594e-05 eta: 4:16:14 time: 0.0853 data_time: 0.0174 memory: 1735 loss: 1.1559 2023/04/03 01:29:20 - mmengine - INFO - Epoch(train) [63][ 300/5005] lr: 3.1594e-05 eta: 4:16:06 time: 0.0805 data_time: 0.0178 memory: 1735 loss: 1.1308 2023/04/03 01:29:28 - mmengine - INFO - Epoch(train) [63][ 400/5005] lr: 3.1594e-05 eta: 4:15:58 time: 0.0796 data_time: 0.0184 memory: 1735 loss: 1.1700 2023/04/03 01:29:36 - mmengine - INFO - Epoch(train) [63][ 500/5005] lr: 3.1594e-05 eta: 4:15:50 time: 0.0778 data_time: 0.0182 memory: 1735 loss: 1.2009 2023/04/03 01:29:44 - mmengine - INFO - Epoch(train) [63][ 600/5005] lr: 3.1594e-05 eta: 4:15:42 time: 0.0777 data_time: 0.0181 memory: 1735 loss: 1.0213 2023/04/03 01:29:52 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:29:52 - mmengine - INFO - Epoch(train) [63][ 700/5005] lr: 3.1594e-05 eta: 4:15:34 time: 0.0802 data_time: 0.0185 memory: 1735 loss: 1.2123 2023/04/03 01:30:01 - mmengine - INFO - Epoch(train) [63][ 800/5005] lr: 3.1594e-05 eta: 4:15:26 time: 0.0888 data_time: 0.0185 memory: 1735 loss: 1.1738 2023/04/03 01:30:10 - mmengine - INFO - Epoch(train) [63][ 900/5005] lr: 3.1594e-05 eta: 4:15:18 time: 0.0934 data_time: 0.0347 memory: 1735 loss: 1.1095 2023/04/03 01:30:18 - mmengine - INFO - Epoch(train) [63][1000/5005] lr: 3.1594e-05 eta: 4:15:10 time: 0.0794 data_time: 0.0184 memory: 1684 loss: 1.0755 2023/04/03 01:30:26 - mmengine - INFO - Epoch(train) [63][1100/5005] lr: 3.1594e-05 eta: 4:15:02 time: 0.0778 data_time: 0.0187 memory: 1684 loss: 1.0653 2023/04/03 01:30:35 - mmengine - INFO - Epoch(train) [63][1200/5005] lr: 3.1594e-05 eta: 4:14:54 time: 0.0760 data_time: 0.0191 memory: 1684 loss: 1.1728 2023/04/03 01:30:43 - mmengine - INFO - Epoch(train) [63][1300/5005] lr: 3.1594e-05 eta: 4:14:46 time: 0.0873 data_time: 0.0191 memory: 1684 loss: 1.4197 2023/04/03 01:30:51 - mmengine - INFO - Epoch(train) [63][1400/5005] lr: 3.1594e-05 eta: 4:14:38 time: 0.0773 data_time: 0.0188 memory: 1684 loss: 1.1939 2023/04/03 01:31:00 - mmengine - INFO - Epoch(train) [63][1500/5005] lr: 3.1594e-05 eta: 4:14:30 time: 0.0965 data_time: 0.0186 memory: 1684 loss: 1.2873 2023/04/03 01:31:08 - mmengine - INFO - Epoch(train) [63][1600/5005] lr: 3.1594e-05 eta: 4:14:22 time: 0.0841 data_time: 0.0186 memory: 1684 loss: 1.2418 2023/04/03 01:31:15 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:31:16 - mmengine - INFO - Epoch(train) [63][1700/5005] lr: 3.1594e-05 eta: 4:14:14 time: 0.0797 data_time: 0.0184 memory: 1684 loss: 1.0576 2023/04/03 01:31:24 - mmengine - INFO - Epoch(train) [63][1800/5005] lr: 3.1594e-05 eta: 4:14:06 time: 0.0779 data_time: 0.0187 memory: 1684 loss: 1.3354 2023/04/03 01:31:33 - mmengine - INFO - Epoch(train) [63][1900/5005] lr: 3.1594e-05 eta: 4:13:58 time: 0.0806 data_time: 0.0192 memory: 1684 loss: 1.1200 2023/04/03 01:31:41 - mmengine - INFO - Epoch(train) [63][2000/5005] lr: 3.1594e-05 eta: 4:13:50 time: 0.0822 data_time: 0.0195 memory: 1684 loss: 1.2261 2023/04/03 01:31:50 - mmengine - INFO - Epoch(train) [63][2100/5005] lr: 3.1594e-05 eta: 4:13:42 time: 0.0790 data_time: 0.0185 memory: 1684 loss: 1.1910 2023/04/03 01:31:58 - mmengine - INFO - Epoch(train) [63][2200/5005] lr: 3.1594e-05 eta: 4:13:34 time: 0.0775 data_time: 0.0188 memory: 1684 loss: 1.4127 2023/04/03 01:32:06 - mmengine - INFO - Epoch(train) [63][2300/5005] lr: 3.1594e-05 eta: 4:13:26 time: 0.0786 data_time: 0.0191 memory: 1684 loss: 1.1579 2023/04/03 01:32:14 - mmengine - INFO - Epoch(train) [63][2400/5005] lr: 3.1594e-05 eta: 4:13:18 time: 0.0844 data_time: 0.0192 memory: 1684 loss: 1.2673 2023/04/03 01:32:23 - mmengine - INFO - Epoch(train) [63][2500/5005] lr: 3.1594e-05 eta: 4:13:10 time: 0.0925 data_time: 0.0349 memory: 1684 loss: 1.2591 2023/04/03 01:32:31 - mmengine - INFO - Epoch(train) [63][2600/5005] lr: 3.1594e-05 eta: 4:13:02 time: 0.0923 data_time: 0.0193 memory: 1684 loss: 1.1524 2023/04/03 01:32:39 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:32:39 - mmengine - INFO - Epoch(train) [63][2700/5005] lr: 3.1594e-05 eta: 4:12:54 time: 0.0777 data_time: 0.0184 memory: 1684 loss: 0.9596 2023/04/03 01:32:47 - mmengine - INFO - Epoch(train) [63][2800/5005] lr: 3.1594e-05 eta: 4:12:45 time: 0.0756 data_time: 0.0187 memory: 1684 loss: 1.2915 2023/04/03 01:32:55 - mmengine - INFO - Epoch(train) [63][2900/5005] lr: 3.1594e-05 eta: 4:12:37 time: 0.0777 data_time: 0.0186 memory: 1684 loss: 1.3834 2023/04/03 01:33:04 - mmengine - INFO - Epoch(train) [63][3000/5005] lr: 3.1594e-05 eta: 4:12:29 time: 0.0810 data_time: 0.0181 memory: 1684 loss: 1.2406 2023/04/03 01:33:12 - mmengine - INFO - Epoch(train) [63][3100/5005] lr: 3.1594e-05 eta: 4:12:21 time: 0.0752 data_time: 0.0183 memory: 1684 loss: 1.2465 2023/04/03 01:33:20 - mmengine - INFO - Epoch(train) [63][3200/5005] lr: 3.1594e-05 eta: 4:12:13 time: 0.0940 data_time: 0.0193 memory: 1684 loss: 1.1535 2023/04/03 01:33:28 - mmengine - INFO - Epoch(train) [63][3300/5005] lr: 3.1594e-05 eta: 4:12:05 time: 0.0790 data_time: 0.0191 memory: 1684 loss: 1.2885 2023/04/03 01:33:37 - mmengine - INFO - Epoch(train) [63][3400/5005] lr: 3.1594e-05 eta: 4:11:57 time: 0.0795 data_time: 0.0190 memory: 1684 loss: 1.0831 2023/04/03 01:33:45 - mmengine - INFO - Epoch(train) [63][3500/5005] lr: 3.1594e-05 eta: 4:11:49 time: 0.0776 data_time: 0.0194 memory: 1684 loss: 1.1932 2023/04/03 01:33:53 - mmengine - INFO - Epoch(train) [63][3600/5005] lr: 3.1594e-05 eta: 4:11:41 time: 0.1161 data_time: 0.0548 memory: 1684 loss: 1.2251 2023/04/03 01:34:01 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:34:02 - mmengine - INFO - Epoch(train) [63][3700/5005] lr: 3.1594e-05 eta: 4:11:33 time: 0.0799 data_time: 0.0183 memory: 1684 loss: 1.1794 2023/04/03 01:34:10 - mmengine - INFO - Epoch(train) [63][3800/5005] lr: 3.1594e-05 eta: 4:11:25 time: 0.1046 data_time: 0.0221 memory: 1684 loss: 1.2980 2023/04/03 01:34:18 - mmengine - INFO - Epoch(train) [63][3900/5005] lr: 3.1594e-05 eta: 4:11:17 time: 0.0760 data_time: 0.0181 memory: 1684 loss: 1.2551 2023/04/03 01:34:26 - mmengine - INFO - Epoch(train) [63][4000/5005] lr: 3.1594e-05 eta: 4:11:09 time: 0.0764 data_time: 0.0185 memory: 1684 loss: 1.2000 2023/04/03 01:34:34 - mmengine - INFO - Epoch(train) [63][4100/5005] lr: 3.1594e-05 eta: 4:11:01 time: 0.0894 data_time: 0.0181 memory: 1684 loss: 1.2851 2023/04/03 01:34:43 - mmengine - INFO - Epoch(train) [63][4200/5005] lr: 3.1594e-05 eta: 4:10:53 time: 0.0809 data_time: 0.0184 memory: 1684 loss: 1.1761 2023/04/03 01:34:51 - mmengine - INFO - Epoch(train) [63][4300/5005] lr: 3.1594e-05 eta: 4:10:45 time: 0.0901 data_time: 0.0289 memory: 1684 loss: 1.1887 2023/04/03 01:34:59 - mmengine - INFO - Epoch(train) [63][4400/5005] lr: 3.1594e-05 eta: 4:10:37 time: 0.0788 data_time: 0.0181 memory: 1684 loss: 1.2311 2023/04/03 01:35:07 - mmengine - INFO - Epoch(train) [63][4500/5005] lr: 3.1594e-05 eta: 4:10:28 time: 0.0771 data_time: 0.0188 memory: 1684 loss: 1.4224 2023/04/03 01:35:16 - mmengine - INFO - Epoch(train) [63][4600/5005] lr: 3.1594e-05 eta: 4:10:21 time: 0.0804 data_time: 0.0177 memory: 1684 loss: 1.1479 2023/04/03 01:35:24 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:35:25 - mmengine - INFO - Epoch(train) [63][4700/5005] lr: 3.1594e-05 eta: 4:10:13 time: 0.0807 data_time: 0.0171 memory: 1684 loss: 1.0044 2023/04/03 01:35:33 - mmengine - INFO - Epoch(train) [63][4800/5005] lr: 3.1594e-05 eta: 4:10:05 time: 0.0782 data_time: 0.0179 memory: 1684 loss: 1.3850 2023/04/03 01:35:41 - mmengine - INFO - Epoch(train) [63][4900/5005] lr: 3.1594e-05 eta: 4:09:57 time: 0.0768 data_time: 0.0181 memory: 1684 loss: 1.1634 2023/04/03 01:35:49 - mmengine - INFO - Epoch(train) [63][5000/5005] lr: 3.1594e-05 eta: 4:09:48 time: 0.0817 data_time: 0.0197 memory: 1684 loss: 1.4673 2023/04/03 01:35:50 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:35:50 - mmengine - INFO - Saving checkpoint at 63 epochs 2023/04/03 01:35:55 - mmengine - INFO - Epoch(val) [63][100/196] eta: 0:00:04 time: 0.0340 data_time: 0.0081 memory: 1684 2023/04/03 01:36:08 - mmengine - INFO - Epoch(val) [63][196/196] qat.accuracy/top1: 69.7860 qat.accuracy/top5: 89.2500data_time: 0.0098 time: 0.0335 2023/04/03 01:36:13 - mmengine - INFO - Epoch(val) [63][100/196] eta: 0:00:04 time: 0.0350 data_time: 0.0077 memory: 513 2023/04/03 01:36:26 - mmengine - INFO - Epoch(val) [63][196/196] qat.accuracy/top1: 69.7700 qat.accuracy/top5: 89.1680data_time: 0.0073 time: 0.0339 2023/04/03 01:36:29 - mmengine - INFO - Epoch(val) [63][100/196] eta: 0:00:02 time: 0.0315 data_time: 0.0207 memory: 470 2023/04/03 01:36:42 - mmengine - INFO - Epoch(val) [63][196/196] original.accuracy/top1: 69.6640 original.accuracy/top5: 89.2580data_time: 0.0314 time: 0.0414 2023/04/03 01:36:51 - mmengine - INFO - Epoch(train) [64][ 100/5005] lr: 3.0143e-05 eta: 4:09:41 time: 0.0958 data_time: 0.0174 memory: 1735 loss: 1.1789 2023/04/03 01:37:00 - mmengine - INFO - Epoch(train) [64][ 200/5005] lr: 3.0143e-05 eta: 4:09:33 time: 0.0793 data_time: 0.0179 memory: 1735 loss: 1.0399 2023/04/03 01:37:08 - mmengine - INFO - Epoch(train) [64][ 300/5005] lr: 3.0143e-05 eta: 4:09:25 time: 0.1096 data_time: 0.0177 memory: 1735 loss: 1.2167 2023/04/03 01:37:17 - mmengine - INFO - Epoch(train) [64][ 400/5005] lr: 3.0143e-05 eta: 4:09:17 time: 0.0906 data_time: 0.0177 memory: 1735 loss: 0.9874 2023/04/03 01:37:25 - mmengine - INFO - Epoch(train) [64][ 500/5005] lr: 3.0143e-05 eta: 4:09:09 time: 0.0782 data_time: 0.0179 memory: 1735 loss: 1.2257 2023/04/03 01:37:33 - mmengine - INFO - Epoch(train) [64][ 600/5005] lr: 3.0143e-05 eta: 4:09:01 time: 0.0808 data_time: 0.0183 memory: 1684 loss: 1.2258 2023/04/03 01:37:40 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:37:41 - mmengine - INFO - Epoch(train) [64][ 700/5005] lr: 3.0143e-05 eta: 4:08:53 time: 0.0783 data_time: 0.0181 memory: 1684 loss: 1.1224 2023/04/03 01:37:49 - mmengine - INFO - Epoch(train) [64][ 800/5005] lr: 3.0143e-05 eta: 4:08:44 time: 0.0765 data_time: 0.0182 memory: 1684 loss: 0.9453 2023/04/03 01:37:57 - mmengine - INFO - Epoch(train) [64][ 900/5005] lr: 3.0143e-05 eta: 4:08:36 time: 0.0759 data_time: 0.0183 memory: 1684 loss: 1.2321 2023/04/03 01:38:05 - mmengine - INFO - Epoch(train) [64][1000/5005] lr: 3.0143e-05 eta: 4:08:28 time: 0.0790 data_time: 0.0179 memory: 1684 loss: 1.1820 2023/04/03 01:38:13 - mmengine - INFO - Epoch(train) [64][1100/5005] lr: 3.0143e-05 eta: 4:08:20 time: 0.0873 data_time: 0.0180 memory: 1684 loss: 1.3860 2023/04/03 01:38:21 - mmengine - INFO - Epoch(train) [64][1200/5005] lr: 3.0143e-05 eta: 4:08:12 time: 0.0821 data_time: 0.0190 memory: 1684 loss: 1.4939 2023/04/03 01:38:30 - mmengine - INFO - Epoch(train) [64][1300/5005] lr: 3.0143e-05 eta: 4:08:04 time: 0.0775 data_time: 0.0178 memory: 1684 loss: 1.2285 2023/04/03 01:38:37 - mmengine - INFO - Epoch(train) [64][1400/5005] lr: 3.0143e-05 eta: 4:07:55 time: 0.0774 data_time: 0.0179 memory: 1684 loss: 1.0747 2023/04/03 01:38:46 - mmengine - INFO - Epoch(train) [64][1500/5005] lr: 3.0143e-05 eta: 4:07:47 time: 0.0793 data_time: 0.0178 memory: 1684 loss: 1.1878 2023/04/03 01:38:54 - mmengine - INFO - Epoch(train) [64][1600/5005] lr: 3.0143e-05 eta: 4:07:39 time: 0.0836 data_time: 0.0179 memory: 1684 loss: 1.1765 2023/04/03 01:39:01 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:39:02 - mmengine - INFO - Epoch(train) [64][1700/5005] lr: 3.0143e-05 eta: 4:07:31 time: 0.0792 data_time: 0.0179 memory: 1684 loss: 1.2573 2023/04/03 01:39:10 - mmengine - INFO - Epoch(train) [64][1800/5005] lr: 3.0143e-05 eta: 4:07:23 time: 0.0759 data_time: 0.0183 memory: 1684 loss: 1.2398 2023/04/03 01:39:18 - mmengine - INFO - Epoch(train) [64][1900/5005] lr: 3.0143e-05 eta: 4:07:15 time: 0.0829 data_time: 0.0179 memory: 1684 loss: 1.0733 2023/04/03 01:39:26 - mmengine - INFO - Epoch(train) [64][2000/5005] lr: 3.0143e-05 eta: 4:07:07 time: 0.0770 data_time: 0.0179 memory: 1684 loss: 1.2699 2023/04/03 01:39:34 - mmengine - INFO - Epoch(train) [64][2100/5005] lr: 3.0143e-05 eta: 4:06:58 time: 0.0781 data_time: 0.0177 memory: 1684 loss: 1.3383 2023/04/03 01:39:42 - mmengine - INFO - Epoch(train) [64][2200/5005] lr: 3.0143e-05 eta: 4:06:50 time: 0.0795 data_time: 0.0180 memory: 1684 loss: 1.2807 2023/04/03 01:39:50 - mmengine - INFO - Epoch(train) [64][2300/5005] lr: 3.0143e-05 eta: 4:06:42 time: 0.0786 data_time: 0.0182 memory: 1684 loss: 1.3107 2023/04/03 01:39:58 - mmengine - INFO - Epoch(train) [64][2400/5005] lr: 3.0143e-05 eta: 4:06:34 time: 0.0774 data_time: 0.0179 memory: 1684 loss: 1.2068 2023/04/03 01:40:06 - mmengine - INFO - Epoch(train) [64][2500/5005] lr: 3.0143e-05 eta: 4:06:26 time: 0.0776 data_time: 0.0178 memory: 1684 loss: 1.2994 2023/04/03 01:40:15 - mmengine - INFO - Epoch(train) [64][2600/5005] lr: 3.0143e-05 eta: 4:06:18 time: 0.0908 data_time: 0.0179 memory: 1684 loss: 1.1374 2023/04/03 01:40:22 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:40:23 - mmengine - INFO - Epoch(train) [64][2700/5005] lr: 3.0143e-05 eta: 4:06:10 time: 0.0780 data_time: 0.0178 memory: 1684 loss: 1.0930 2023/04/03 01:40:31 - mmengine - INFO - Epoch(train) [64][2800/5005] lr: 3.0143e-05 eta: 4:06:02 time: 0.0806 data_time: 0.0180 memory: 1684 loss: 1.2885 2023/04/03 01:40:39 - mmengine - INFO - Epoch(train) [64][2900/5005] lr: 3.0143e-05 eta: 4:05:53 time: 0.0762 data_time: 0.0189 memory: 1684 loss: 1.1277 2023/04/03 01:40:47 - mmengine - INFO - Epoch(train) [64][3000/5005] lr: 3.0143e-05 eta: 4:05:45 time: 0.0787 data_time: 0.0180 memory: 1684 loss: 1.1101 2023/04/03 01:40:56 - mmengine - INFO - Epoch(train) [64][3100/5005] lr: 3.0143e-05 eta: 4:05:37 time: 0.0774 data_time: 0.0176 memory: 1684 loss: 1.4668 2023/04/03 01:41:04 - mmengine - INFO - Epoch(train) [64][3200/5005] lr: 3.0143e-05 eta: 4:05:29 time: 0.0901 data_time: 0.0289 memory: 1684 loss: 1.1084 2023/04/03 01:41:12 - mmengine - INFO - Epoch(train) [64][3300/5005] lr: 3.0143e-05 eta: 4:05:21 time: 0.0780 data_time: 0.0180 memory: 1684 loss: 1.1906 2023/04/03 01:41:20 - mmengine - INFO - Epoch(train) [64][3400/5005] lr: 3.0143e-05 eta: 4:05:13 time: 0.0775 data_time: 0.0180 memory: 1684 loss: 1.0853 2023/04/03 01:41:28 - mmengine - INFO - Epoch(train) [64][3500/5005] lr: 3.0143e-05 eta: 4:05:05 time: 0.0774 data_time: 0.0182 memory: 1684 loss: 1.1949 2023/04/03 01:41:36 - mmengine - INFO - Epoch(train) [64][3600/5005] lr: 3.0143e-05 eta: 4:04:56 time: 0.0770 data_time: 0.0179 memory: 1684 loss: 1.2482 2023/04/03 01:41:43 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:41:44 - mmengine - INFO - Epoch(train) [64][3700/5005] lr: 3.0143e-05 eta: 4:04:48 time: 0.0923 data_time: 0.0180 memory: 1684 loss: 1.1652 2023/04/03 01:41:52 - mmengine - INFO - Epoch(train) [64][3800/5005] lr: 3.0143e-05 eta: 4:04:40 time: 0.0792 data_time: 0.0183 memory: 1684 loss: 1.2633 2023/04/03 01:42:00 - mmengine - INFO - Epoch(train) [64][3900/5005] lr: 3.0143e-05 eta: 4:04:32 time: 0.0761 data_time: 0.0180 memory: 1684 loss: 1.2105 2023/04/03 01:42:08 - mmengine - INFO - Epoch(train) [64][4000/5005] lr: 3.0143e-05 eta: 4:04:24 time: 0.0842 data_time: 0.0179 memory: 1684 loss: 1.0223 2023/04/03 01:42:16 - mmengine - INFO - Epoch(train) [64][4100/5005] lr: 3.0143e-05 eta: 4:04:16 time: 0.0903 data_time: 0.0179 memory: 1684 loss: 1.2901 2023/04/03 01:42:24 - mmengine - INFO - Epoch(train) [64][4200/5005] lr: 3.0143e-05 eta: 4:04:07 time: 0.0776 data_time: 0.0181 memory: 1684 loss: 1.0873 2023/04/03 01:42:33 - mmengine - INFO - Epoch(train) [64][4300/5005] lr: 3.0143e-05 eta: 4:03:59 time: 0.0873 data_time: 0.0179 memory: 1684 loss: 1.0941 2023/04/03 01:42:41 - mmengine - INFO - Epoch(train) [64][4400/5005] lr: 3.0143e-05 eta: 4:03:51 time: 0.0804 data_time: 0.0184 memory: 1684 loss: 1.3854 2023/04/03 01:42:49 - mmengine - INFO - Epoch(train) [64][4500/5005] lr: 3.0143e-05 eta: 4:03:43 time: 0.0804 data_time: 0.0188 memory: 1684 loss: 1.3478 2023/04/03 01:42:57 - mmengine - INFO - Epoch(train) [64][4600/5005] lr: 3.0143e-05 eta: 4:03:35 time: 0.0808 data_time: 0.0184 memory: 1684 loss: 1.1726 2023/04/03 01:43:04 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:43:05 - mmengine - INFO - Epoch(train) [64][4700/5005] lr: 3.0143e-05 eta: 4:03:27 time: 0.0770 data_time: 0.0177 memory: 1684 loss: 1.0238 2023/04/03 01:43:14 - mmengine - INFO - Epoch(train) [64][4800/5005] lr: 3.0143e-05 eta: 4:03:19 time: 0.0765 data_time: 0.0178 memory: 1684 loss: 1.1323 2023/04/03 01:43:22 - mmengine - INFO - Epoch(train) [64][4900/5005] lr: 3.0143e-05 eta: 4:03:11 time: 0.0787 data_time: 0.0179 memory: 1684 loss: 1.1646 2023/04/03 01:43:30 - mmengine - INFO - Epoch(train) [64][5000/5005] lr: 3.0143e-05 eta: 4:03:03 time: 0.0805 data_time: 0.0187 memory: 1684 loss: 1.0779 2023/04/03 01:43:30 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:43:30 - mmengine - INFO - Saving checkpoint at 64 epochs 2023/04/03 01:43:36 - mmengine - INFO - Epoch(val) [64][100/196] eta: 0:00:03 time: 0.0335 data_time: 0.0084 memory: 1684 2023/04/03 01:43:49 - mmengine - INFO - Epoch(val) [64][196/196] qat.accuracy/top1: 69.9220 qat.accuracy/top5: 89.2860data_time: 0.0155 time: 0.0394 2023/04/03 01:43:53 - mmengine - INFO - Epoch(val) [64][100/196] eta: 0:00:03 time: 0.0345 data_time: 0.0077 memory: 513 2023/04/03 01:44:07 - mmengine - INFO - Epoch(val) [64][196/196] qat.accuracy/top1: 69.9020 qat.accuracy/top5: 89.1940data_time: 0.0068 time: 0.0332 2023/04/03 01:44:10 - mmengine - INFO - Epoch(val) [64][100/196] eta: 0:00:02 time: 0.0240 data_time: 0.0126 memory: 470 2023/04/03 01:44:22 - mmengine - INFO - Epoch(val) [64][196/196] original.accuracy/top1: 69.7560 original.accuracy/top5: 89.2440data_time: 0.0388 time: 0.0490 2023/04/03 01:44:32 - mmengine - INFO - Epoch(train) [65][ 100/5005] lr: 2.8711e-05 eta: 4:02:55 time: 0.0797 data_time: 0.0183 memory: 1735 loss: 1.2393 2023/04/03 01:44:40 - mmengine - INFO - Epoch(train) [65][ 200/5005] lr: 2.8711e-05 eta: 4:02:47 time: 0.0784 data_time: 0.0192 memory: 1735 loss: 1.2559 2023/04/03 01:44:48 - mmengine - INFO - Epoch(train) [65][ 300/5005] lr: 2.8711e-05 eta: 4:02:39 time: 0.0827 data_time: 0.0183 memory: 1735 loss: 1.2232 2023/04/03 01:44:57 - mmengine - INFO - Epoch(train) [65][ 400/5005] lr: 2.8711e-05 eta: 4:02:31 time: 0.0925 data_time: 0.0187 memory: 1735 loss: 1.1620 2023/04/03 01:45:05 - mmengine - INFO - Epoch(train) [65][ 500/5005] lr: 2.8711e-05 eta: 4:02:23 time: 0.0803 data_time: 0.0182 memory: 1735 loss: 1.0948 2023/04/03 01:45:14 - mmengine - INFO - Epoch(train) [65][ 600/5005] lr: 2.8711e-05 eta: 4:02:15 time: 0.0782 data_time: 0.0181 memory: 1735 loss: 1.2917 2023/04/03 01:45:21 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:45:23 - mmengine - INFO - Epoch(train) [65][ 700/5005] lr: 2.8711e-05 eta: 4:02:07 time: 0.0809 data_time: 0.0180 memory: 1735 loss: 1.3521 2023/04/03 01:45:31 - mmengine - INFO - Epoch(train) [65][ 800/5005] lr: 2.8711e-05 eta: 4:01:59 time: 0.0773 data_time: 0.0181 memory: 1684 loss: 1.2083 2023/04/03 01:45:39 - mmengine - INFO - Epoch(train) [65][ 900/5005] lr: 2.8711e-05 eta: 4:01:51 time: 0.0777 data_time: 0.0181 memory: 1684 loss: 1.4405 2023/04/03 01:45:47 - mmengine - INFO - Epoch(train) [65][1000/5005] lr: 2.8711e-05 eta: 4:01:43 time: 0.0974 data_time: 0.0178 memory: 1684 loss: 1.2528 2023/04/03 01:45:55 - mmengine - INFO - Epoch(train) [65][1100/5005] lr: 2.8711e-05 eta: 4:01:35 time: 0.0802 data_time: 0.0196 memory: 1684 loss: 1.1156 2023/04/03 01:46:04 - mmengine - INFO - Epoch(train) [65][1200/5005] lr: 2.8711e-05 eta: 4:01:27 time: 0.0796 data_time: 0.0178 memory: 1684 loss: 1.3237 2023/04/03 01:46:11 - mmengine - INFO - Epoch(train) [65][1300/5005] lr: 2.8711e-05 eta: 4:01:19 time: 0.0789 data_time: 0.0179 memory: 1684 loss: 1.2030 2023/04/03 01:46:20 - mmengine - INFO - Epoch(train) [65][1400/5005] lr: 2.8711e-05 eta: 4:01:11 time: 0.0875 data_time: 0.0282 memory: 1684 loss: 1.3831 2023/04/03 01:46:28 - mmengine - INFO - Epoch(train) [65][1500/5005] lr: 2.8711e-05 eta: 4:01:02 time: 0.0877 data_time: 0.0180 memory: 1684 loss: 1.2646 2023/04/03 01:46:36 - mmengine - INFO - Epoch(train) [65][1600/5005] lr: 2.8711e-05 eta: 4:00:54 time: 0.0896 data_time: 0.0178 memory: 1684 loss: 1.2956 2023/04/03 01:46:43 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:46:44 - mmengine - INFO - Epoch(train) [65][1700/5005] lr: 2.8711e-05 eta: 4:00:46 time: 0.0795 data_time: 0.0178 memory: 1684 loss: 1.1733 2023/04/03 01:46:53 - mmengine - INFO - Epoch(train) [65][1800/5005] lr: 2.8711e-05 eta: 4:00:38 time: 0.0795 data_time: 0.0177 memory: 1684 loss: 1.2503 2023/04/03 01:47:01 - mmengine - INFO - Epoch(train) [65][1900/5005] lr: 2.8711e-05 eta: 4:00:30 time: 0.0806 data_time: 0.0178 memory: 1684 loss: 1.1752 2023/04/03 01:47:09 - mmengine - INFO - Epoch(train) [65][2000/5005] lr: 2.8711e-05 eta: 4:00:22 time: 0.0789 data_time: 0.0179 memory: 1684 loss: 1.0531 2023/04/03 01:47:17 - mmengine - INFO - Epoch(train) [65][2100/5005] lr: 2.8711e-05 eta: 4:00:14 time: 0.0794 data_time: 0.0178 memory: 1684 loss: 1.2191 2023/04/03 01:47:26 - mmengine - INFO - Epoch(train) [65][2200/5005] lr: 2.8711e-05 eta: 4:00:06 time: 0.0798 data_time: 0.0184 memory: 1684 loss: 1.3683 2023/04/03 01:47:34 - mmengine - INFO - Epoch(train) [65][2300/5005] lr: 2.8711e-05 eta: 3:59:58 time: 0.0793 data_time: 0.0176 memory: 1684 loss: 1.0897 2023/04/03 01:47:42 - mmengine - INFO - Epoch(train) [65][2400/5005] lr: 2.8711e-05 eta: 3:59:50 time: 0.0814 data_time: 0.0179 memory: 1684 loss: 1.1974 2023/04/03 01:47:50 - mmengine - INFO - Epoch(train) [65][2500/5005] lr: 2.8711e-05 eta: 3:59:42 time: 0.0759 data_time: 0.0179 memory: 1684 loss: 1.0931 2023/04/03 01:47:58 - mmengine - INFO - Epoch(train) [65][2600/5005] lr: 2.8711e-05 eta: 3:59:33 time: 0.0770 data_time: 0.0178 memory: 1684 loss: 1.2452 2023/04/03 01:48:05 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:48:06 - mmengine - INFO - Epoch(train) [65][2700/5005] lr: 2.8711e-05 eta: 3:59:25 time: 0.0798 data_time: 0.0175 memory: 1684 loss: 1.2116 2023/04/03 01:48:15 - mmengine - INFO - Epoch(train) [65][2800/5005] lr: 2.8711e-05 eta: 3:59:17 time: 0.0796 data_time: 0.0176 memory: 1684 loss: 1.4167 2023/04/03 01:48:23 - mmengine - INFO - Epoch(train) [65][2900/5005] lr: 2.8711e-05 eta: 3:59:09 time: 0.0852 data_time: 0.0176 memory: 1684 loss: 1.2447 2023/04/03 01:48:31 - mmengine - INFO - Epoch(train) [65][3000/5005] lr: 2.8711e-05 eta: 3:59:01 time: 0.0789 data_time: 0.0179 memory: 1684 loss: 1.3897 2023/04/03 01:48:39 - mmengine - INFO - Epoch(train) [65][3100/5005] lr: 2.8711e-05 eta: 3:58:53 time: 0.0778 data_time: 0.0178 memory: 1684 loss: 1.2006 2023/04/03 01:48:47 - mmengine - INFO - Epoch(train) [65][3200/5005] lr: 2.8711e-05 eta: 3:58:44 time: 0.0773 data_time: 0.0179 memory: 1684 loss: 1.4867 2023/04/03 01:48:55 - mmengine - INFO - Epoch(train) [65][3300/5005] lr: 2.8711e-05 eta: 3:58:36 time: 0.0769 data_time: 0.0178 memory: 1684 loss: 1.3071 2023/04/03 01:49:03 - mmengine - INFO - Epoch(train) [65][3400/5005] lr: 2.8711e-05 eta: 3:58:28 time: 0.0781 data_time: 0.0179 memory: 1684 loss: 1.2519 2023/04/03 01:49:11 - mmengine - INFO - Epoch(train) [65][3500/5005] lr: 2.8711e-05 eta: 3:58:20 time: 0.0818 data_time: 0.0176 memory: 1684 loss: 1.1040 2023/04/03 01:49:19 - mmengine - INFO - Epoch(train) [65][3600/5005] lr: 2.8711e-05 eta: 3:58:12 time: 0.0784 data_time: 0.0180 memory: 1684 loss: 1.2547 2023/04/03 01:49:26 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:49:27 - mmengine - INFO - Epoch(train) [65][3700/5005] lr: 2.8711e-05 eta: 3:58:04 time: 0.0823 data_time: 0.0178 memory: 1684 loss: 1.2522 2023/04/03 01:49:36 - mmengine - INFO - Epoch(train) [65][3800/5005] lr: 2.8711e-05 eta: 3:57:56 time: 0.0942 data_time: 0.0176 memory: 1684 loss: 1.2818 2023/04/03 01:49:44 - mmengine - INFO - Epoch(train) [65][3900/5005] lr: 2.8711e-05 eta: 3:57:48 time: 0.0883 data_time: 0.0295 memory: 1684 loss: 1.2201 2023/04/03 01:49:52 - mmengine - INFO - Epoch(train) [65][4000/5005] lr: 2.8711e-05 eta: 3:57:40 time: 0.0889 data_time: 0.0184 memory: 1684 loss: 1.3658 2023/04/03 01:50:00 - mmengine - INFO - Epoch(train) [65][4100/5005] lr: 2.8711e-05 eta: 3:57:32 time: 0.0818 data_time: 0.0180 memory: 1684 loss: 1.3100 2023/04/03 01:50:09 - mmengine - INFO - Epoch(train) [65][4200/5005] lr: 2.8711e-05 eta: 3:57:24 time: 0.0805 data_time: 0.0179 memory: 1684 loss: 1.1156 2023/04/03 01:50:17 - mmengine - INFO - Epoch(train) [65][4300/5005] lr: 2.8711e-05 eta: 3:57:16 time: 0.0882 data_time: 0.0181 memory: 1684 loss: 1.3370 2023/04/03 01:50:25 - mmengine - INFO - Epoch(train) [65][4400/5005] lr: 2.8711e-05 eta: 3:57:08 time: 0.0773 data_time: 0.0177 memory: 1684 loss: 1.4255 2023/04/03 01:50:34 - mmengine - INFO - Epoch(train) [65][4500/5005] lr: 2.8711e-05 eta: 3:57:00 time: 0.0795 data_time: 0.0177 memory: 1684 loss: 1.1379 2023/04/03 01:50:42 - mmengine - INFO - Epoch(train) [65][4600/5005] lr: 2.8711e-05 eta: 3:56:51 time: 0.0889 data_time: 0.0178 memory: 1684 loss: 1.4045 2023/04/03 01:50:48 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:50:50 - mmengine - INFO - Epoch(train) [65][4700/5005] lr: 2.8711e-05 eta: 3:56:43 time: 0.0768 data_time: 0.0179 memory: 1684 loss: 1.0740 2023/04/03 01:50:57 - mmengine - INFO - Epoch(train) [65][4800/5005] lr: 2.8711e-05 eta: 3:56:35 time: 0.0757 data_time: 0.0179 memory: 1684 loss: 1.1652 2023/04/03 01:51:06 - mmengine - INFO - Epoch(train) [65][4900/5005] lr: 2.8711e-05 eta: 3:56:27 time: 0.0759 data_time: 0.0177 memory: 1684 loss: 1.1568 2023/04/03 01:51:14 - mmengine - INFO - Epoch(train) [65][5000/5005] lr: 2.8711e-05 eta: 3:56:19 time: 0.0759 data_time: 0.0188 memory: 1684 loss: 1.0449 2023/04/03 01:51:14 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:51:14 - mmengine - INFO - Saving checkpoint at 65 epochs 2023/04/03 01:51:19 - mmengine - INFO - Epoch(val) [65][100/196] eta: 0:00:03 time: 0.0341 data_time: 0.0081 memory: 1684 2023/04/03 01:51:32 - mmengine - INFO - Epoch(val) [65][196/196] qat.accuracy/top1: 69.7420 qat.accuracy/top5: 89.2340data_time: 0.0060 time: 0.0296 2023/04/03 01:51:36 - mmengine - INFO - Epoch(val) [65][100/196] eta: 0:00:04 time: 0.0393 data_time: 0.0087 memory: 513 2023/04/03 01:51:49 - mmengine - INFO - Epoch(val) [65][196/196] qat.accuracy/top1: 69.8280 qat.accuracy/top5: 89.1580data_time: 0.0133 time: 0.0397 2023/04/03 01:51:52 - mmengine - INFO - Epoch(val) [65][100/196] eta: 0:00:02 time: 0.0177 data_time: 0.0067 memory: 470 2023/04/03 01:52:05 - mmengine - INFO - Epoch(val) [65][196/196] original.accuracy/top1: 69.6480 original.accuracy/top5: 89.1940data_time: 0.0292 time: 0.0394 2023/04/03 01:52:15 - mmengine - INFO - Epoch(train) [66][ 100/5005] lr: 2.7300e-05 eta: 3:56:11 time: 0.0796 data_time: 0.0181 memory: 1735 loss: 1.0794 2023/04/03 01:52:24 - mmengine - INFO - Epoch(train) [66][ 200/5005] lr: 2.7300e-05 eta: 3:56:03 time: 0.0771 data_time: 0.0176 memory: 1684 loss: 1.2578 2023/04/03 01:52:32 - mmengine - INFO - Epoch(train) [66][ 300/5005] lr: 2.7300e-05 eta: 3:55:55 time: 0.0921 data_time: 0.0176 memory: 1684 loss: 1.1491 2023/04/03 01:52:40 - mmengine - INFO - Epoch(train) [66][ 400/5005] lr: 2.7300e-05 eta: 3:55:47 time: 0.0921 data_time: 0.0176 memory: 1684 loss: 1.1658 2023/04/03 01:52:48 - mmengine - INFO - Epoch(train) [66][ 500/5005] lr: 2.7300e-05 eta: 3:55:39 time: 0.0796 data_time: 0.0174 memory: 1684 loss: 1.1347 2023/04/03 01:52:57 - mmengine - INFO - Epoch(train) [66][ 600/5005] lr: 2.7300e-05 eta: 3:55:31 time: 0.0905 data_time: 0.0174 memory: 1684 loss: 1.1307 2023/04/03 01:53:03 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:53:05 - mmengine - INFO - Epoch(train) [66][ 700/5005] lr: 2.7300e-05 eta: 3:55:23 time: 0.0783 data_time: 0.0175 memory: 1684 loss: 1.0915 2023/04/03 01:53:13 - mmengine - INFO - Epoch(train) [66][ 800/5005] lr: 2.7300e-05 eta: 3:55:14 time: 0.0784 data_time: 0.0178 memory: 1684 loss: 1.1665 2023/04/03 01:53:21 - mmengine - INFO - Epoch(train) [66][ 900/5005] lr: 2.7300e-05 eta: 3:55:06 time: 0.0800 data_time: 0.0177 memory: 1684 loss: 1.1800 2023/04/03 01:53:29 - mmengine - INFO - Epoch(train) [66][1000/5005] lr: 2.7300e-05 eta: 3:54:58 time: 0.0784 data_time: 0.0176 memory: 1684 loss: 1.1625 2023/04/03 01:53:37 - mmengine - INFO - Epoch(train) [66][1100/5005] lr: 2.7300e-05 eta: 3:54:50 time: 0.0935 data_time: 0.0175 memory: 1684 loss: 1.0624 2023/04/03 01:53:45 - mmengine - INFO - Epoch(train) [66][1200/5005] lr: 2.7300e-05 eta: 3:54:42 time: 0.0775 data_time: 0.0175 memory: 1684 loss: 1.1064 2023/04/03 01:53:53 - mmengine - INFO - Epoch(train) [66][1300/5005] lr: 2.7300e-05 eta: 3:54:34 time: 0.0780 data_time: 0.0169 memory: 1684 loss: 1.2100 2023/04/03 01:54:01 - mmengine - INFO - Epoch(train) [66][1400/5005] lr: 2.7300e-05 eta: 3:54:26 time: 0.0773 data_time: 0.0177 memory: 1684 loss: 1.1636 2023/04/03 01:54:09 - mmengine - INFO - Epoch(train) [66][1500/5005] lr: 2.7300e-05 eta: 3:54:17 time: 0.0814 data_time: 0.0178 memory: 1684 loss: 1.3401 2023/04/03 01:54:18 - mmengine - INFO - Epoch(train) [66][1600/5005] lr: 2.7300e-05 eta: 3:54:09 time: 0.0904 data_time: 0.0174 memory: 1684 loss: 1.3270 2023/04/03 01:54:24 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:54:26 - mmengine - INFO - Epoch(train) [66][1700/5005] lr: 2.7300e-05 eta: 3:54:01 time: 0.0799 data_time: 0.0175 memory: 1684 loss: 1.2280 2023/04/03 01:54:35 - mmengine - INFO - Epoch(train) [66][1800/5005] lr: 2.7300e-05 eta: 3:53:53 time: 0.0792 data_time: 0.0176 memory: 1684 loss: 1.1444 2023/04/03 01:54:43 - mmengine - INFO - Epoch(train) [66][1900/5005] lr: 2.7300e-05 eta: 3:53:45 time: 0.0793 data_time: 0.0176 memory: 1684 loss: 1.4460 2023/04/03 01:54:51 - mmengine - INFO - Epoch(train) [66][2000/5005] lr: 2.7300e-05 eta: 3:53:37 time: 0.0813 data_time: 0.0182 memory: 1684 loss: 1.2639 2023/04/03 01:54:59 - mmengine - INFO - Epoch(train) [66][2100/5005] lr: 2.7300e-05 eta: 3:53:29 time: 0.0793 data_time: 0.0175 memory: 1684 loss: 1.3585 2023/04/03 01:55:07 - mmengine - INFO - Epoch(train) [66][2200/5005] lr: 2.7300e-05 eta: 3:53:21 time: 0.0776 data_time: 0.0174 memory: 1684 loss: 1.1762 2023/04/03 01:55:15 - mmengine - INFO - Epoch(train) [66][2300/5005] lr: 2.7300e-05 eta: 3:53:13 time: 0.0847 data_time: 0.0178 memory: 1684 loss: 1.3654 2023/04/03 01:55:23 - mmengine - INFO - Epoch(train) [66][2400/5005] lr: 2.7300e-05 eta: 3:53:04 time: 0.0797 data_time: 0.0178 memory: 1684 loss: 1.2065 2023/04/03 01:55:31 - mmengine - INFO - Epoch(train) [66][2500/5005] lr: 2.7300e-05 eta: 3:52:56 time: 0.0775 data_time: 0.0177 memory: 1684 loss: 1.0824 2023/04/03 01:55:39 - mmengine - INFO - Epoch(train) [66][2600/5005] lr: 2.7300e-05 eta: 3:52:48 time: 0.0773 data_time: 0.0172 memory: 1684 loss: 1.3881 2023/04/03 01:55:45 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:55:47 - mmengine - INFO - Epoch(train) [66][2700/5005] lr: 2.7300e-05 eta: 3:52:40 time: 0.0781 data_time: 0.0174 memory: 1684 loss: 1.3804 2023/04/03 01:55:55 - mmengine - INFO - Epoch(train) [66][2800/5005] lr: 2.7300e-05 eta: 3:52:32 time: 0.0781 data_time: 0.0178 memory: 1684 loss: 1.2773 2023/04/03 01:56:04 - mmengine - INFO - Epoch(train) [66][2900/5005] lr: 2.7300e-05 eta: 3:52:24 time: 0.0832 data_time: 0.0177 memory: 1684 loss: 1.1693 2023/04/03 01:56:13 - mmengine - INFO - Epoch(train) [66][3000/5005] lr: 2.7300e-05 eta: 3:52:16 time: 0.0800 data_time: 0.0175 memory: 1684 loss: 1.0629 2023/04/03 01:56:21 - mmengine - INFO - Epoch(train) [66][3100/5005] lr: 2.7300e-05 eta: 3:52:08 time: 0.0794 data_time: 0.0177 memory: 1684 loss: 1.0833 2023/04/03 01:56:29 - mmengine - INFO - Epoch(train) [66][3200/5005] lr: 2.7300e-05 eta: 3:52:00 time: 0.0781 data_time: 0.0178 memory: 1684 loss: 1.1542 2023/04/03 01:56:38 - mmengine - INFO - Epoch(train) [66][3300/5005] lr: 2.7300e-05 eta: 3:51:52 time: 0.0965 data_time: 0.0177 memory: 1684 loss: 1.0461 2023/04/03 01:56:46 - mmengine - INFO - Epoch(train) [66][3400/5005] lr: 2.7300e-05 eta: 3:51:44 time: 0.0802 data_time: 0.0176 memory: 1684 loss: 1.2305 2023/04/03 01:56:55 - mmengine - INFO - Epoch(train) [66][3500/5005] lr: 2.7300e-05 eta: 3:51:36 time: 0.0786 data_time: 0.0181 memory: 1684 loss: 1.2423 2023/04/03 01:57:03 - mmengine - INFO - Epoch(train) [66][3600/5005] lr: 2.7300e-05 eta: 3:51:28 time: 0.0764 data_time: 0.0177 memory: 1684 loss: 1.1585 2023/04/03 01:57:09 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:57:11 - mmengine - INFO - Epoch(train) [66][3700/5005] lr: 2.7300e-05 eta: 3:51:20 time: 0.0774 data_time: 0.0180 memory: 1684 loss: 1.1837 2023/04/03 01:57:19 - mmengine - INFO - Epoch(train) [66][3800/5005] lr: 2.7300e-05 eta: 3:51:12 time: 0.0773 data_time: 0.0180 memory: 1684 loss: 1.4100 2023/04/03 01:57:27 - mmengine - INFO - Epoch(train) [66][3900/5005] lr: 2.7300e-05 eta: 3:51:04 time: 0.0787 data_time: 0.0189 memory: 1684 loss: 1.0802 2023/04/03 01:57:35 - mmengine - INFO - Epoch(train) [66][4000/5005] lr: 2.7300e-05 eta: 3:50:56 time: 0.0785 data_time: 0.0183 memory: 1684 loss: 1.3508 2023/04/03 01:57:44 - mmengine - INFO - Epoch(train) [66][4100/5005] lr: 2.7300e-05 eta: 3:50:48 time: 0.0874 data_time: 0.0197 memory: 1684 loss: 1.3765 2023/04/03 01:57:52 - mmengine - INFO - Epoch(train) [66][4200/5005] lr: 2.7300e-05 eta: 3:50:40 time: 0.0838 data_time: 0.0197 memory: 1684 loss: 1.3459 2023/04/03 01:58:01 - mmengine - INFO - Epoch(train) [66][4300/5005] lr: 2.7300e-05 eta: 3:50:32 time: 0.0826 data_time: 0.0176 memory: 1684 loss: 1.0681 2023/04/03 01:58:09 - mmengine - INFO - Epoch(train) [66][4400/5005] lr: 2.7300e-05 eta: 3:50:24 time: 0.0802 data_time: 0.0176 memory: 1684 loss: 1.2699 2023/04/03 01:58:17 - mmengine - INFO - Epoch(train) [66][4500/5005] lr: 2.7300e-05 eta: 3:50:16 time: 0.0824 data_time: 0.0176 memory: 1684 loss: 1.2521 2023/04/03 01:58:26 - mmengine - INFO - Epoch(train) [66][4600/5005] lr: 2.7300e-05 eta: 3:50:08 time: 0.0814 data_time: 0.0180 memory: 1684 loss: 1.1700 2023/04/03 01:58:32 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:58:34 - mmengine - INFO - Epoch(train) [66][4700/5005] lr: 2.7300e-05 eta: 3:50:00 time: 0.0790 data_time: 0.0181 memory: 1684 loss: 1.1697 2023/04/03 01:58:43 - mmengine - INFO - Epoch(train) [66][4800/5005] lr: 2.7300e-05 eta: 3:49:52 time: 0.0762 data_time: 0.0184 memory: 1684 loss: 1.1789 2023/04/03 01:58:51 - mmengine - INFO - Epoch(train) [66][4900/5005] lr: 2.7300e-05 eta: 3:49:44 time: 0.0977 data_time: 0.0175 memory: 1684 loss: 1.1973 2023/04/03 01:58:59 - mmengine - INFO - Epoch(train) [66][5000/5005] lr: 2.7300e-05 eta: 3:49:36 time: 0.0794 data_time: 0.0184 memory: 1684 loss: 1.2386 2023/04/03 01:59:00 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 01:59:00 - mmengine - INFO - Saving checkpoint at 66 epochs 2023/04/03 01:59:05 - mmengine - INFO - Epoch(val) [66][100/196] eta: 0:00:03 time: 0.0335 data_time: 0.0081 memory: 1684 2023/04/03 01:59:18 - mmengine - INFO - Epoch(val) [66][196/196] qat.accuracy/top1: 69.8900 qat.accuracy/top5: 89.2220data_time: 0.0067 time: 0.0311 2023/04/03 01:59:22 - mmengine - INFO - Epoch(val) [66][100/196] eta: 0:00:03 time: 0.0355 data_time: 0.0080 memory: 513 2023/04/03 01:59:36 - mmengine - INFO - Epoch(val) [66][196/196] qat.accuracy/top1: 69.8180 qat.accuracy/top5: 89.2380data_time: 0.0072 time: 0.0353 2023/04/03 01:59:39 - mmengine - INFO - Epoch(val) [66][100/196] eta: 0:00:02 time: 0.0263 data_time: 0.0146 memory: 470 2023/04/03 01:59:52 - mmengine - INFO - Epoch(val) [66][196/196] original.accuracy/top1: 69.7320 original.accuracy/top5: 89.2360data_time: 0.0329 time: 0.0443 2023/04/03 02:00:02 - mmengine - INFO - Epoch(train) [67][ 100/5005] lr: 2.5912e-05 eta: 3:49:28 time: 0.0865 data_time: 0.0205 memory: 1735 loss: 1.1014 2023/04/03 02:00:10 - mmengine - INFO - Epoch(train) [67][ 200/5005] lr: 2.5912e-05 eta: 3:49:20 time: 0.0802 data_time: 0.0184 memory: 1735 loss: 1.2443 2023/04/03 02:00:19 - mmengine - INFO - Epoch(train) [67][ 300/5005] lr: 2.5912e-05 eta: 3:49:12 time: 0.0785 data_time: 0.0180 memory: 1735 loss: 1.1291 2023/04/03 02:00:27 - mmengine - INFO - Epoch(train) [67][ 400/5005] lr: 2.5912e-05 eta: 3:49:04 time: 0.0820 data_time: 0.0204 memory: 1735 loss: 1.3068 2023/04/03 02:00:35 - mmengine - INFO - Epoch(train) [67][ 500/5005] lr: 2.5912e-05 eta: 3:48:56 time: 0.0766 data_time: 0.0179 memory: 1735 loss: 1.1383 2023/04/03 02:00:44 - mmengine - INFO - Epoch(train) [67][ 600/5005] lr: 2.5912e-05 eta: 3:48:48 time: 0.0912 data_time: 0.0239 memory: 1735 loss: 1.3357 2023/04/03 02:00:50 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:00:52 - mmengine - INFO - Epoch(train) [67][ 700/5005] lr: 2.5912e-05 eta: 3:48:40 time: 0.0792 data_time: 0.0185 memory: 1735 loss: 1.2833 2023/04/03 02:01:00 - mmengine - INFO - Epoch(train) [67][ 800/5005] lr: 2.5912e-05 eta: 3:48:32 time: 0.0792 data_time: 0.0179 memory: 1735 loss: 1.1989 2023/04/03 02:01:09 - mmengine - INFO - Epoch(train) [67][ 900/5005] lr: 2.5912e-05 eta: 3:48:24 time: 0.0934 data_time: 0.0186 memory: 1735 loss: 1.1760 2023/04/03 02:01:17 - mmengine - INFO - Epoch(train) [67][1000/5005] lr: 2.5912e-05 eta: 3:48:16 time: 0.0785 data_time: 0.0188 memory: 1735 loss: 1.3159 2023/04/03 02:01:26 - mmengine - INFO - Epoch(train) [67][1100/5005] lr: 2.5912e-05 eta: 3:48:08 time: 0.0758 data_time: 0.0184 memory: 1735 loss: 1.2148 2023/04/03 02:01:34 - mmengine - INFO - Epoch(train) [67][1200/5005] lr: 2.5912e-05 eta: 3:48:00 time: 0.0776 data_time: 0.0181 memory: 1684 loss: 1.2356 2023/04/03 02:01:42 - mmengine - INFO - Epoch(train) [67][1300/5005] lr: 2.5912e-05 eta: 3:47:52 time: 0.0928 data_time: 0.0345 memory: 1684 loss: 1.3057 2023/04/03 02:01:50 - mmengine - INFO - Epoch(train) [67][1400/5005] lr: 2.5912e-05 eta: 3:47:44 time: 0.0771 data_time: 0.0195 memory: 1684 loss: 1.1248 2023/04/03 02:01:58 - mmengine - INFO - Epoch(train) [67][1500/5005] lr: 2.5912e-05 eta: 3:47:36 time: 0.0763 data_time: 0.0185 memory: 1684 loss: 1.1974 2023/04/03 02:02:06 - mmengine - INFO - Epoch(train) [67][1600/5005] lr: 2.5912e-05 eta: 3:47:27 time: 0.0764 data_time: 0.0181 memory: 1684 loss: 1.3798 2023/04/03 02:02:12 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:02:14 - mmengine - INFO - Epoch(train) [67][1700/5005] lr: 2.5912e-05 eta: 3:47:19 time: 0.0788 data_time: 0.0182 memory: 1684 loss: 1.1517 2023/04/03 02:02:23 - mmengine - INFO - Epoch(train) [67][1800/5005] lr: 2.5912e-05 eta: 3:47:11 time: 0.0913 data_time: 0.0300 memory: 1684 loss: 1.2632 2023/04/03 02:02:31 - mmengine - INFO - Epoch(train) [67][1900/5005] lr: 2.5912e-05 eta: 3:47:03 time: 0.0811 data_time: 0.0180 memory: 1684 loss: 1.2352 2023/04/03 02:02:39 - mmengine - INFO - Epoch(train) [67][2000/5005] lr: 2.5912e-05 eta: 3:46:55 time: 0.0775 data_time: 0.0180 memory: 1684 loss: 1.1884 2023/04/03 02:02:47 - mmengine - INFO - Epoch(train) [67][2100/5005] lr: 2.5912e-05 eta: 3:46:47 time: 0.0790 data_time: 0.0180 memory: 1684 loss: 1.3910 2023/04/03 02:02:55 - mmengine - INFO - Epoch(train) [67][2200/5005] lr: 2.5912e-05 eta: 3:46:39 time: 0.0792 data_time: 0.0180 memory: 1684 loss: 1.1629 2023/04/03 02:03:04 - mmengine - INFO - Epoch(train) [67][2300/5005] lr: 2.5912e-05 eta: 3:46:31 time: 0.0818 data_time: 0.0177 memory: 1684 loss: 1.2958 2023/04/03 02:03:12 - mmengine - INFO - Epoch(train) [67][2400/5005] lr: 2.5912e-05 eta: 3:46:23 time: 0.0795 data_time: 0.0180 memory: 1684 loss: 1.1702 2023/04/03 02:03:20 - mmengine - INFO - Epoch(train) [67][2500/5005] lr: 2.5912e-05 eta: 3:46:15 time: 0.0813 data_time: 0.0181 memory: 1684 loss: 1.4091 2023/04/03 02:03:29 - mmengine - INFO - Epoch(train) [67][2600/5005] lr: 2.5912e-05 eta: 3:46:07 time: 0.0805 data_time: 0.0179 memory: 1684 loss: 1.2146 2023/04/03 02:03:34 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:03:37 - mmengine - INFO - Epoch(train) [67][2700/5005] lr: 2.5912e-05 eta: 3:45:59 time: 0.0780 data_time: 0.0179 memory: 1684 loss: 1.2540 2023/04/03 02:03:45 - mmengine - INFO - Epoch(train) [67][2800/5005] lr: 2.5912e-05 eta: 3:45:51 time: 0.0889 data_time: 0.0177 memory: 1684 loss: 1.0306 2023/04/03 02:03:53 - mmengine - INFO - Epoch(train) [67][2900/5005] lr: 2.5912e-05 eta: 3:45:42 time: 0.0783 data_time: 0.0177 memory: 1684 loss: 1.1653 2023/04/03 02:04:01 - mmengine - INFO - Epoch(train) [67][3000/5005] lr: 2.5912e-05 eta: 3:45:34 time: 0.0823 data_time: 0.0179 memory: 1684 loss: 1.3079 2023/04/03 02:04:10 - mmengine - INFO - Epoch(train) [67][3100/5005] lr: 2.5912e-05 eta: 3:45:26 time: 0.0781 data_time: 0.0181 memory: 1684 loss: 1.2908 2023/04/03 02:04:18 - mmengine - INFO - Epoch(train) [67][3200/5005] lr: 2.5912e-05 eta: 3:45:18 time: 0.0884 data_time: 0.0180 memory: 1684 loss: 1.0846 2023/04/03 02:04:26 - mmengine - INFO - Epoch(train) [67][3300/5005] lr: 2.5912e-05 eta: 3:45:10 time: 0.0916 data_time: 0.0175 memory: 1684 loss: 1.2814 2023/04/03 02:04:34 - mmengine - INFO - Epoch(train) [67][3400/5005] lr: 2.5912e-05 eta: 3:45:02 time: 0.0767 data_time: 0.0177 memory: 1684 loss: 1.3368 2023/04/03 02:04:42 - mmengine - INFO - Epoch(train) [67][3500/5005] lr: 2.5912e-05 eta: 3:44:54 time: 0.0758 data_time: 0.0178 memory: 1684 loss: 1.1736 2023/04/03 02:04:50 - mmengine - INFO - Epoch(train) [67][3600/5005] lr: 2.5912e-05 eta: 3:44:45 time: 0.0800 data_time: 0.0177 memory: 1684 loss: 1.1827 2023/04/03 02:04:55 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:04:58 - mmengine - INFO - Epoch(train) [67][3700/5005] lr: 2.5912e-05 eta: 3:44:37 time: 0.0778 data_time: 0.0177 memory: 1684 loss: 1.3930 2023/04/03 02:05:06 - mmengine - INFO - Epoch(train) [67][3800/5005] lr: 2.5912e-05 eta: 3:44:29 time: 0.0776 data_time: 0.0176 memory: 1684 loss: 1.0698 2023/04/03 02:05:14 - mmengine - INFO - Epoch(train) [67][3900/5005] lr: 2.5912e-05 eta: 3:44:21 time: 0.0781 data_time: 0.0175 memory: 1684 loss: 1.2511 2023/04/03 02:05:22 - mmengine - INFO - Epoch(train) [67][4000/5005] lr: 2.5912e-05 eta: 3:44:13 time: 0.0783 data_time: 0.0177 memory: 1684 loss: 1.1306 2023/04/03 02:05:30 - mmengine - INFO - Epoch(train) [67][4100/5005] lr: 2.5912e-05 eta: 3:44:05 time: 0.0778 data_time: 0.0182 memory: 1684 loss: 1.1498 2023/04/03 02:05:38 - mmengine - INFO - Epoch(train) [67][4200/5005] lr: 2.5912e-05 eta: 3:43:57 time: 0.0781 data_time: 0.0172 memory: 1684 loss: 1.4137 2023/04/03 02:05:47 - mmengine - INFO - Epoch(train) [67][4300/5005] lr: 2.5912e-05 eta: 3:43:48 time: 0.0803 data_time: 0.0177 memory: 1684 loss: 1.1467 2023/04/03 02:05:55 - mmengine - INFO - Epoch(train) [67][4400/5005] lr: 2.5912e-05 eta: 3:43:41 time: 0.0887 data_time: 0.0176 memory: 1684 loss: 1.3701 2023/04/03 02:06:03 - mmengine - INFO - Epoch(train) [67][4500/5005] lr: 2.5912e-05 eta: 3:43:32 time: 0.0777 data_time: 0.0177 memory: 1684 loss: 0.9309 2023/04/03 02:06:11 - mmengine - INFO - Epoch(train) [67][4600/5005] lr: 2.5912e-05 eta: 3:43:24 time: 0.0770 data_time: 0.0182 memory: 1684 loss: 1.2681 2023/04/03 02:06:17 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:06:20 - mmengine - INFO - Epoch(train) [67][4700/5005] lr: 2.5912e-05 eta: 3:43:16 time: 0.0814 data_time: 0.0177 memory: 1684 loss: 1.2646 2023/04/03 02:06:28 - mmengine - INFO - Epoch(train) [67][4800/5005] lr: 2.5912e-05 eta: 3:43:08 time: 0.0879 data_time: 0.0179 memory: 1684 loss: 1.2276 2023/04/03 02:06:36 - mmengine - INFO - Epoch(train) [67][4900/5005] lr: 2.5912e-05 eta: 3:43:00 time: 0.0791 data_time: 0.0191 memory: 1684 loss: 1.5112 2023/04/03 02:06:45 - mmengine - INFO - Epoch(train) [67][5000/5005] lr: 2.5912e-05 eta: 3:42:52 time: 0.0879 data_time: 0.0180 memory: 1684 loss: 1.3525 2023/04/03 02:06:45 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:06:45 - mmengine - INFO - Saving checkpoint at 67 epochs 2023/04/03 02:06:51 - mmengine - INFO - Epoch(val) [67][100/196] eta: 0:00:03 time: 0.0350 data_time: 0.0086 memory: 1684 2023/04/03 02:07:03 - mmengine - INFO - Epoch(val) [67][196/196] qat.accuracy/top1: 69.9280 qat.accuracy/top5: 89.2140data_time: 0.0086 time: 0.0331 2023/04/03 02:07:08 - mmengine - INFO - Epoch(val) [67][100/196] eta: 0:00:03 time: 0.0367 data_time: 0.0083 memory: 513 2023/04/03 02:07:21 - mmengine - INFO - Epoch(val) [67][196/196] qat.accuracy/top1: 69.8560 qat.accuracy/top5: 89.2340data_time: 0.0074 time: 0.0340 2023/04/03 02:07:24 - mmengine - INFO - Epoch(val) [67][100/196] eta: 0:00:02 time: 0.0241 data_time: 0.0136 memory: 470 2023/04/03 02:07:36 - mmengine - INFO - Epoch(val) [67][196/196] original.accuracy/top1: 69.7580 original.accuracy/top5: 89.2060data_time: 0.0319 time: 0.0420 2023/04/03 02:07:45 - mmengine - INFO - Epoch(train) [68][ 100/5005] lr: 2.4548e-05 eta: 3:42:44 time: 0.1007 data_time: 0.0179 memory: 1735 loss: 1.3163 2023/04/03 02:07:54 - mmengine - INFO - Epoch(train) [68][ 200/5005] lr: 2.4548e-05 eta: 3:42:36 time: 0.0798 data_time: 0.0177 memory: 1735 loss: 1.0797 2023/04/03 02:08:02 - mmengine - INFO - Epoch(train) [68][ 300/5005] lr: 2.4548e-05 eta: 3:42:28 time: 0.0778 data_time: 0.0179 memory: 1735 loss: 1.5221 2023/04/03 02:08:11 - mmengine - INFO - Epoch(train) [68][ 400/5005] lr: 2.4548e-05 eta: 3:42:20 time: 0.0785 data_time: 0.0186 memory: 1735 loss: 1.2882 2023/04/03 02:08:19 - mmengine - INFO - Epoch(train) [68][ 500/5005] lr: 2.4548e-05 eta: 3:42:12 time: 0.0804 data_time: 0.0177 memory: 1735 loss: 1.2396 2023/04/03 02:08:28 - mmengine - INFO - Epoch(train) [68][ 600/5005] lr: 2.4548e-05 eta: 3:42:04 time: 0.0805 data_time: 0.0175 memory: 1735 loss: 1.0985 2023/04/03 02:08:34 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:08:36 - mmengine - INFO - Epoch(train) [68][ 700/5005] lr: 2.4548e-05 eta: 3:41:57 time: 0.0780 data_time: 0.0180 memory: 1735 loss: 1.4198 2023/04/03 02:08:44 - mmengine - INFO - Epoch(train) [68][ 800/5005] lr: 2.4548e-05 eta: 3:41:48 time: 0.0793 data_time: 0.0185 memory: 1684 loss: 1.2911 2023/04/03 02:08:52 - mmengine - INFO - Epoch(train) [68][ 900/5005] lr: 2.4548e-05 eta: 3:41:40 time: 0.0791 data_time: 0.0183 memory: 1684 loss: 1.2681 2023/04/03 02:09:01 - mmengine - INFO - Epoch(train) [68][1000/5005] lr: 2.4548e-05 eta: 3:41:32 time: 0.0789 data_time: 0.0174 memory: 1684 loss: 1.1974 2023/04/03 02:09:09 - mmengine - INFO - Epoch(train) [68][1100/5005] lr: 2.4548e-05 eta: 3:41:24 time: 0.0774 data_time: 0.0183 memory: 1684 loss: 1.0799 2023/04/03 02:09:17 - mmengine - INFO - Epoch(train) [68][1200/5005] lr: 2.4548e-05 eta: 3:41:16 time: 0.0805 data_time: 0.0180 memory: 1684 loss: 1.2549 2023/04/03 02:09:25 - mmengine - INFO - Epoch(train) [68][1300/5005] lr: 2.4548e-05 eta: 3:41:08 time: 0.0881 data_time: 0.0178 memory: 1684 loss: 1.0289 2023/04/03 02:09:34 - mmengine - INFO - Epoch(train) [68][1400/5005] lr: 2.4548e-05 eta: 3:41:00 time: 0.0801 data_time: 0.0175 memory: 1684 loss: 1.2612 2023/04/03 02:09:43 - mmengine - INFO - Epoch(train) [68][1500/5005] lr: 2.4548e-05 eta: 3:40:52 time: 0.0797 data_time: 0.0177 memory: 1684 loss: 1.0428 2023/04/03 02:09:51 - mmengine - INFO - Epoch(train) [68][1600/5005] lr: 2.4548e-05 eta: 3:40:44 time: 0.0756 data_time: 0.0182 memory: 1684 loss: 1.2039 2023/04/03 02:09:56 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:09:59 - mmengine - INFO - Epoch(train) [68][1700/5005] lr: 2.4548e-05 eta: 3:40:36 time: 0.0761 data_time: 0.0178 memory: 1684 loss: 1.1678 2023/04/03 02:10:07 - mmengine - INFO - Epoch(train) [68][1800/5005] lr: 2.4548e-05 eta: 3:40:28 time: 0.0799 data_time: 0.0177 memory: 1684 loss: 1.2598 2023/04/03 02:10:16 - mmengine - INFO - Epoch(train) [68][1900/5005] lr: 2.4548e-05 eta: 3:40:20 time: 0.0792 data_time: 0.0181 memory: 1684 loss: 1.1499 2023/04/03 02:10:24 - mmengine - INFO - Epoch(train) [68][2000/5005] lr: 2.4548e-05 eta: 3:40:12 time: 0.0777 data_time: 0.0179 memory: 1684 loss: 1.3682 2023/04/03 02:10:32 - mmengine - INFO - Epoch(train) [68][2100/5005] lr: 2.4548e-05 eta: 3:40:04 time: 0.0802 data_time: 0.0179 memory: 1684 loss: 1.1838 2023/04/03 02:10:40 - mmengine - INFO - Epoch(train) [68][2200/5005] lr: 2.4548e-05 eta: 3:39:56 time: 0.0766 data_time: 0.0179 memory: 1684 loss: 1.1622 2023/04/03 02:10:49 - mmengine - INFO - Epoch(train) [68][2300/5005] lr: 2.4548e-05 eta: 3:39:48 time: 0.0785 data_time: 0.0178 memory: 1684 loss: 1.2315 2023/04/03 02:10:57 - mmengine - INFO - Epoch(train) [68][2400/5005] lr: 2.4548e-05 eta: 3:39:39 time: 0.0767 data_time: 0.0177 memory: 1684 loss: 1.2132 2023/04/03 02:11:05 - mmengine - INFO - Epoch(train) [68][2500/5005] lr: 2.4548e-05 eta: 3:39:31 time: 0.0780 data_time: 0.0177 memory: 1684 loss: 1.1206 2023/04/03 02:11:13 - mmengine - INFO - Epoch(train) [68][2600/5005] lr: 2.4548e-05 eta: 3:39:23 time: 0.0774 data_time: 0.0178 memory: 1684 loss: 1.2234 2023/04/03 02:11:18 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:11:21 - mmengine - INFO - Epoch(train) [68][2700/5005] lr: 2.4548e-05 eta: 3:39:15 time: 0.0786 data_time: 0.0179 memory: 1684 loss: 1.1787 2023/04/03 02:11:29 - mmengine - INFO - Epoch(train) [68][2800/5005] lr: 2.4548e-05 eta: 3:39:07 time: 0.0833 data_time: 0.0171 memory: 1684 loss: 1.2887 2023/04/03 02:11:38 - mmengine - INFO - Epoch(train) [68][2900/5005] lr: 2.4548e-05 eta: 3:38:59 time: 0.0775 data_time: 0.0177 memory: 1684 loss: 1.3148 2023/04/03 02:11:46 - mmengine - INFO - Epoch(train) [68][3000/5005] lr: 2.4548e-05 eta: 3:38:51 time: 0.0768 data_time: 0.0177 memory: 1684 loss: 0.9180 2023/04/03 02:11:55 - mmengine - INFO - Epoch(train) [68][3100/5005] lr: 2.4548e-05 eta: 3:38:43 time: 0.0954 data_time: 0.0180 memory: 1684 loss: 1.2042 2023/04/03 02:12:03 - mmengine - INFO - Epoch(train) [68][3200/5005] lr: 2.4548e-05 eta: 3:38:35 time: 0.0783 data_time: 0.0176 memory: 1684 loss: 1.1468 2023/04/03 02:12:11 - mmengine - INFO - Epoch(train) [68][3300/5005] lr: 2.4548e-05 eta: 3:38:27 time: 0.0820 data_time: 0.0176 memory: 1684 loss: 1.2325 2023/04/03 02:12:19 - mmengine - INFO - Epoch(train) [68][3400/5005] lr: 2.4548e-05 eta: 3:38:19 time: 0.0801 data_time: 0.0178 memory: 1684 loss: 1.1669 2023/04/03 02:12:27 - mmengine - INFO - Epoch(train) [68][3500/5005] lr: 2.4548e-05 eta: 3:38:11 time: 0.0784 data_time: 0.0177 memory: 1684 loss: 1.2481 2023/04/03 02:12:36 - mmengine - INFO - Epoch(train) [68][3600/5005] lr: 2.4548e-05 eta: 3:38:02 time: 0.0804 data_time: 0.0178 memory: 1684 loss: 1.1782 2023/04/03 02:12:42 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:12:44 - mmengine - INFO - Epoch(train) [68][3700/5005] lr: 2.4548e-05 eta: 3:37:55 time: 0.0823 data_time: 0.0176 memory: 1684 loss: 1.0984 2023/04/03 02:12:52 - mmengine - INFO - Epoch(train) [68][3800/5005] lr: 2.4548e-05 eta: 3:37:46 time: 0.0853 data_time: 0.0177 memory: 1684 loss: 1.0400 2023/04/03 02:13:00 - mmengine - INFO - Epoch(train) [68][3900/5005] lr: 2.4548e-05 eta: 3:37:38 time: 0.0895 data_time: 0.0177 memory: 1684 loss: 1.1449 2023/04/03 02:13:09 - mmengine - INFO - Epoch(train) [68][4000/5005] lr: 2.4548e-05 eta: 3:37:30 time: 0.0838 data_time: 0.0197 memory: 1684 loss: 1.3144 2023/04/03 02:13:17 - mmengine - INFO - Epoch(train) [68][4100/5005] lr: 2.4548e-05 eta: 3:37:22 time: 0.0807 data_time: 0.0181 memory: 1684 loss: 1.1409 2023/04/03 02:13:26 - mmengine - INFO - Epoch(train) [68][4200/5005] lr: 2.4548e-05 eta: 3:37:14 time: 0.0886 data_time: 0.0178 memory: 1684 loss: 1.2849 2023/04/03 02:13:34 - mmengine - INFO - Epoch(train) [68][4300/5005] lr: 2.4548e-05 eta: 3:37:06 time: 0.0778 data_time: 0.0180 memory: 1684 loss: 0.9107 2023/04/03 02:13:42 - mmengine - INFO - Epoch(train) [68][4400/5005] lr: 2.4548e-05 eta: 3:36:58 time: 0.0767 data_time: 0.0178 memory: 1684 loss: 1.2837 2023/04/03 02:13:50 - mmengine - INFO - Epoch(train) [68][4500/5005] lr: 2.4548e-05 eta: 3:36:50 time: 0.0794 data_time: 0.0178 memory: 1684 loss: 1.2483 2023/04/03 02:13:58 - mmengine - INFO - Epoch(train) [68][4600/5005] lr: 2.4548e-05 eta: 3:36:42 time: 0.0867 data_time: 0.0178 memory: 1684 loss: 1.2881 2023/04/03 02:14:03 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:14:06 - mmengine - INFO - Epoch(train) [68][4700/5005] lr: 2.4548e-05 eta: 3:36:34 time: 0.0804 data_time: 0.0179 memory: 1684 loss: 1.3026 2023/04/03 02:14:15 - mmengine - INFO - Epoch(train) [68][4800/5005] lr: 2.4548e-05 eta: 3:36:26 time: 0.0982 data_time: 0.0186 memory: 1684 loss: 1.0475 2023/04/03 02:14:23 - mmengine - INFO - Epoch(train) [68][4900/5005] lr: 2.4548e-05 eta: 3:36:18 time: 0.0862 data_time: 0.0180 memory: 1684 loss: 1.1530 2023/04/03 02:14:31 - mmengine - INFO - Epoch(train) [68][5000/5005] lr: 2.4548e-05 eta: 3:36:10 time: 0.0810 data_time: 0.0189 memory: 1684 loss: 1.3241 2023/04/03 02:14:32 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:14:32 - mmengine - INFO - Saving checkpoint at 68 epochs 2023/04/03 02:14:37 - mmengine - INFO - Epoch(val) [68][100/196] eta: 0:00:03 time: 0.0338 data_time: 0.0079 memory: 1684 2023/04/03 02:14:50 - mmengine - INFO - Epoch(val) [68][196/196] qat.accuracy/top1: 69.9240 qat.accuracy/top5: 89.2660data_time: 0.0064 time: 0.0306 2023/04/03 02:14:54 - mmengine - INFO - Epoch(val) [68][100/196] eta: 0:00:03 time: 0.0355 data_time: 0.0080 memory: 513 2023/04/03 02:15:07 - mmengine - INFO - Epoch(val) [68][196/196] qat.accuracy/top1: 69.8940 qat.accuracy/top5: 89.2160data_time: 0.0073 time: 0.0335 2023/04/03 02:15:10 - mmengine - INFO - Epoch(val) [68][100/196] eta: 0:00:02 time: 0.0292 data_time: 0.0149 memory: 470 2023/04/03 02:15:23 - mmengine - INFO - Epoch(val) [68][196/196] original.accuracy/top1: 69.7600 original.accuracy/top5: 89.2680data_time: 0.0284 time: 0.0385 2023/04/03 02:15:33 - mmengine - INFO - Epoch(train) [69][ 100/5005] lr: 2.3209e-05 eta: 3:36:02 time: 0.0816 data_time: 0.0175 memory: 1735 loss: 1.2506 2023/04/03 02:15:41 - mmengine - INFO - Epoch(train) [69][ 200/5005] lr: 2.3209e-05 eta: 3:35:54 time: 0.0840 data_time: 0.0180 memory: 1735 loss: 1.0732 2023/04/03 02:15:49 - mmengine - INFO - Epoch(train) [69][ 300/5005] lr: 2.3209e-05 eta: 3:35:46 time: 0.0803 data_time: 0.0176 memory: 1735 loss: 1.1386 2023/04/03 02:15:58 - mmengine - INFO - Epoch(train) [69][ 400/5005] lr: 2.3209e-05 eta: 3:35:38 time: 0.0814 data_time: 0.0180 memory: 1735 loss: 1.2829 2023/04/03 02:16:06 - mmengine - INFO - Epoch(train) [69][ 500/5005] lr: 2.3209e-05 eta: 3:35:30 time: 0.0800 data_time: 0.0175 memory: 1735 loss: 1.0258 2023/04/03 02:16:15 - mmengine - INFO - Epoch(train) [69][ 600/5005] lr: 2.3209e-05 eta: 3:35:22 time: 0.0799 data_time: 0.0178 memory: 1735 loss: 1.2961 2023/04/03 02:16:20 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:16:23 - mmengine - INFO - Epoch(train) [69][ 700/5005] lr: 2.3209e-05 eta: 3:35:14 time: 0.0803 data_time: 0.0179 memory: 1735 loss: 1.3370 2023/04/03 02:16:32 - mmengine - INFO - Epoch(train) [69][ 800/5005] lr: 2.3209e-05 eta: 3:35:06 time: 0.0830 data_time: 0.0176 memory: 1735 loss: 1.3540 2023/04/03 02:16:40 - mmengine - INFO - Epoch(train) [69][ 900/5005] lr: 2.3209e-05 eta: 3:34:58 time: 0.0819 data_time: 0.0176 memory: 1735 loss: 1.2575 2023/04/03 02:16:49 - mmengine - INFO - Epoch(train) [69][1000/5005] lr: 2.3209e-05 eta: 3:34:50 time: 0.0757 data_time: 0.0178 memory: 1735 loss: 1.2828 2023/04/03 02:16:57 - mmengine - INFO - Epoch(train) [69][1100/5005] lr: 2.3209e-05 eta: 3:34:42 time: 0.0782 data_time: 0.0176 memory: 1735 loss: 1.2362 2023/04/03 02:17:06 - mmengine - INFO - Epoch(train) [69][1200/5005] lr: 2.3209e-05 eta: 3:34:34 time: 0.1037 data_time: 0.0170 memory: 1684 loss: 1.1573 2023/04/03 02:17:14 - mmengine - INFO - Epoch(train) [69][1300/5005] lr: 2.3209e-05 eta: 3:34:26 time: 0.0880 data_time: 0.0179 memory: 1684 loss: 1.4033 2023/04/03 02:17:22 - mmengine - INFO - Epoch(train) [69][1400/5005] lr: 2.3209e-05 eta: 3:34:18 time: 0.0775 data_time: 0.0174 memory: 1684 loss: 1.5054 2023/04/03 02:17:30 - mmengine - INFO - Epoch(train) [69][1500/5005] lr: 2.3209e-05 eta: 3:34:10 time: 0.0779 data_time: 0.0176 memory: 1684 loss: 1.2856 2023/04/03 02:17:38 - mmengine - INFO - Epoch(train) [69][1600/5005] lr: 2.3209e-05 eta: 3:34:02 time: 0.0784 data_time: 0.0178 memory: 1684 loss: 1.3197 2023/04/03 02:17:43 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:17:46 - mmengine - INFO - Epoch(train) [69][1700/5005] lr: 2.3209e-05 eta: 3:33:53 time: 0.0784 data_time: 0.0173 memory: 1684 loss: 1.2645 2023/04/03 02:17:54 - mmengine - INFO - Epoch(train) [69][1800/5005] lr: 2.3209e-05 eta: 3:33:45 time: 0.0798 data_time: 0.0175 memory: 1684 loss: 1.2230 2023/04/03 02:18:02 - mmengine - INFO - Epoch(train) [69][1900/5005] lr: 2.3209e-05 eta: 3:33:37 time: 0.0905 data_time: 0.0176 memory: 1684 loss: 1.1467 2023/04/03 02:18:11 - mmengine - INFO - Epoch(train) [69][2000/5005] lr: 2.3209e-05 eta: 3:33:29 time: 0.0889 data_time: 0.0172 memory: 1684 loss: 1.0054 2023/04/03 02:18:19 - mmengine - INFO - Epoch(train) [69][2100/5005] lr: 2.3209e-05 eta: 3:33:21 time: 0.0805 data_time: 0.0179 memory: 1684 loss: 1.0704 2023/04/03 02:18:27 - mmengine - INFO - Epoch(train) [69][2200/5005] lr: 2.3209e-05 eta: 3:33:13 time: 0.0775 data_time: 0.0176 memory: 1684 loss: 0.9794 2023/04/03 02:18:35 - mmengine - INFO - Epoch(train) [69][2300/5005] lr: 2.3209e-05 eta: 3:33:05 time: 0.0779 data_time: 0.0176 memory: 1684 loss: 1.2609 2023/04/03 02:18:43 - mmengine - INFO - Epoch(train) [69][2400/5005] lr: 2.3209e-05 eta: 3:32:56 time: 0.0766 data_time: 0.0180 memory: 1684 loss: 1.2534 2023/04/03 02:18:51 - mmengine - INFO - Epoch(train) [69][2500/5005] lr: 2.3209e-05 eta: 3:32:48 time: 0.0798 data_time: 0.0178 memory: 1684 loss: 0.9498 2023/04/03 02:18:59 - mmengine - INFO - Epoch(train) [69][2600/5005] lr: 2.3209e-05 eta: 3:32:40 time: 0.0768 data_time: 0.0176 memory: 1684 loss: 1.3007 2023/04/03 02:19:04 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:19:08 - mmengine - INFO - Epoch(train) [69][2700/5005] lr: 2.3209e-05 eta: 3:32:32 time: 0.0773 data_time: 0.0176 memory: 1684 loss: 1.2539 2023/04/03 02:19:16 - mmengine - INFO - Epoch(train) [69][2800/5005] lr: 2.3209e-05 eta: 3:32:24 time: 0.0798 data_time: 0.0173 memory: 1684 loss: 1.2287 2023/04/03 02:19:24 - mmengine - INFO - Epoch(train) [69][2900/5005] lr: 2.3209e-05 eta: 3:32:16 time: 0.0916 data_time: 0.0176 memory: 1684 loss: 1.1858 2023/04/03 02:19:33 - mmengine - INFO - Epoch(train) [69][3000/5005] lr: 2.3209e-05 eta: 3:32:08 time: 0.0944 data_time: 0.0177 memory: 1684 loss: 1.3068 2023/04/03 02:19:42 - mmengine - INFO - Epoch(train) [69][3100/5005] lr: 2.3209e-05 eta: 3:32:00 time: 0.0808 data_time: 0.0176 memory: 1684 loss: 1.2466 2023/04/03 02:19:50 - mmengine - INFO - Epoch(train) [69][3200/5005] lr: 2.3209e-05 eta: 3:31:52 time: 0.0979 data_time: 0.0177 memory: 1684 loss: 1.1366 2023/04/03 02:19:59 - mmengine - INFO - Epoch(train) [69][3300/5005] lr: 2.3209e-05 eta: 3:31:44 time: 0.0798 data_time: 0.0177 memory: 1684 loss: 1.1696 2023/04/03 02:20:07 - mmengine - INFO - Epoch(train) [69][3400/5005] lr: 2.3209e-05 eta: 3:31:36 time: 0.0818 data_time: 0.0171 memory: 1684 loss: 1.0162 2023/04/03 02:20:15 - mmengine - INFO - Epoch(train) [69][3500/5005] lr: 2.3209e-05 eta: 3:31:28 time: 0.0797 data_time: 0.0178 memory: 1684 loss: 1.1891 2023/04/03 02:20:24 - mmengine - INFO - Epoch(train) [69][3600/5005] lr: 2.3209e-05 eta: 3:31:20 time: 0.0773 data_time: 0.0184 memory: 1684 loss: 1.1041 2023/04/03 02:20:29 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:20:32 - mmengine - INFO - Epoch(train) [69][3700/5005] lr: 2.3209e-05 eta: 3:31:12 time: 0.0793 data_time: 0.0176 memory: 1684 loss: 1.5148 2023/04/03 02:20:40 - mmengine - INFO - Epoch(train) [69][3800/5005] lr: 2.3209e-05 eta: 3:31:04 time: 0.0937 data_time: 0.0179 memory: 1684 loss: 1.3289 2023/04/03 02:20:49 - mmengine - INFO - Epoch(train) [69][3900/5005] lr: 2.3209e-05 eta: 3:30:56 time: 0.0935 data_time: 0.0183 memory: 1684 loss: 1.0930 2023/04/03 02:20:57 - mmengine - INFO - Epoch(train) [69][4000/5005] lr: 2.3209e-05 eta: 3:30:48 time: 0.0818 data_time: 0.0178 memory: 1684 loss: 1.3643 2023/04/03 02:21:06 - mmengine - INFO - Epoch(train) [69][4100/5005] lr: 2.3209e-05 eta: 3:30:40 time: 0.0876 data_time: 0.0179 memory: 1684 loss: 1.2054 2023/04/03 02:21:14 - mmengine - INFO - Epoch(train) [69][4200/5005] lr: 2.3209e-05 eta: 3:30:32 time: 0.0814 data_time: 0.0180 memory: 1684 loss: 1.0929 2023/04/03 02:21:22 - mmengine - INFO - Epoch(train) [69][4300/5005] lr: 2.3209e-05 eta: 3:30:24 time: 0.0801 data_time: 0.0182 memory: 1684 loss: 1.1893 2023/04/03 02:21:31 - mmengine - INFO - Epoch(train) [69][4400/5005] lr: 2.3209e-05 eta: 3:30:16 time: 0.0826 data_time: 0.0177 memory: 1684 loss: 1.2655 2023/04/03 02:21:39 - mmengine - INFO - Epoch(train) [69][4500/5005] lr: 2.3209e-05 eta: 3:30:08 time: 0.0927 data_time: 0.0184 memory: 1684 loss: 1.1870 2023/04/03 02:21:48 - mmengine - INFO - Epoch(train) [69][4600/5005] lr: 2.3209e-05 eta: 3:30:00 time: 0.0779 data_time: 0.0183 memory: 1684 loss: 1.1563 2023/04/03 02:21:53 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:21:56 - mmengine - INFO - Epoch(train) [69][4700/5005] lr: 2.3209e-05 eta: 3:29:52 time: 0.0765 data_time: 0.0180 memory: 1684 loss: 1.1793 2023/04/03 02:22:04 - mmengine - INFO - Epoch(train) [69][4800/5005] lr: 2.3209e-05 eta: 3:29:44 time: 0.0774 data_time: 0.0179 memory: 1684 loss: 1.0232 2023/04/03 02:22:12 - mmengine - INFO - Epoch(train) [69][4900/5005] lr: 2.3209e-05 eta: 3:29:36 time: 0.0906 data_time: 0.0290 memory: 1684 loss: 1.1156 2023/04/03 02:22:20 - mmengine - INFO - Epoch(train) [69][5000/5005] lr: 2.3209e-05 eta: 3:29:27 time: 0.0775 data_time: 0.0182 memory: 1684 loss: 1.3116 2023/04/03 02:22:20 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:22:21 - mmengine - INFO - Saving checkpoint at 69 epochs 2023/04/03 02:22:26 - mmengine - INFO - Epoch(val) [69][100/196] eta: 0:00:04 time: 0.0332 data_time: 0.0075 memory: 1684 2023/04/03 02:22:39 - mmengine - INFO - Epoch(val) [69][196/196] qat.accuracy/top1: 69.8820 qat.accuracy/top5: 89.1840data_time: 0.0197 time: 0.0437 2023/04/03 02:22:43 - mmengine - INFO - Epoch(val) [69][100/196] eta: 0:00:04 time: 0.0369 data_time: 0.0083 memory: 513 2023/04/03 02:22:56 - mmengine - INFO - Epoch(val) [69][196/196] qat.accuracy/top1: 69.8480 qat.accuracy/top5: 89.1760data_time: 0.0072 time: 0.0341 2023/04/03 02:22:59 - mmengine - INFO - Epoch(val) [69][100/196] eta: 0:00:02 time: 0.0259 data_time: 0.0142 memory: 470 2023/04/03 02:23:12 - mmengine - INFO - Epoch(val) [69][196/196] original.accuracy/top1: 69.7240 original.accuracy/top5: 89.2100data_time: 0.0295 time: 0.0394 2023/04/03 02:23:22 - mmengine - INFO - Epoch(train) [70][ 100/5005] lr: 2.1896e-05 eta: 3:29:20 time: 0.0838 data_time: 0.0177 memory: 1735 loss: 1.2650 2023/04/03 02:23:30 - mmengine - INFO - Epoch(train) [70][ 200/5005] lr: 2.1896e-05 eta: 3:29:12 time: 0.0788 data_time: 0.0177 memory: 1735 loss: 1.2264 2023/04/03 02:23:38 - mmengine - INFO - Epoch(train) [70][ 300/5005] lr: 2.1896e-05 eta: 3:29:04 time: 0.0790 data_time: 0.0176 memory: 1735 loss: 1.3942 2023/04/03 02:23:47 - mmengine - INFO - Epoch(train) [70][ 400/5005] lr: 2.1896e-05 eta: 3:28:56 time: 0.0779 data_time: 0.0175 memory: 1735 loss: 1.2876 2023/04/03 02:23:56 - mmengine - INFO - Epoch(train) [70][ 500/5005] lr: 2.1896e-05 eta: 3:28:48 time: 0.0959 data_time: 0.0177 memory: 1735 loss: 1.3104 2023/04/03 02:24:04 - mmengine - INFO - Epoch(train) [70][ 600/5005] lr: 2.1896e-05 eta: 3:28:40 time: 0.0767 data_time: 0.0179 memory: 1735 loss: 1.2068 2023/04/03 02:24:09 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:24:12 - mmengine - INFO - Epoch(train) [70][ 700/5005] lr: 2.1896e-05 eta: 3:28:32 time: 0.0798 data_time: 0.0176 memory: 1735 loss: 1.2877 2023/04/03 02:24:21 - mmengine - INFO - Epoch(train) [70][ 800/5005] lr: 2.1896e-05 eta: 3:28:24 time: 0.0783 data_time: 0.0179 memory: 1735 loss: 1.2222 2023/04/03 02:24:29 - mmengine - INFO - Epoch(train) [70][ 900/5005] lr: 2.1896e-05 eta: 3:28:16 time: 0.0838 data_time: 0.0179 memory: 1735 loss: 1.1372 2023/04/03 02:24:37 - mmengine - INFO - Epoch(train) [70][1000/5005] lr: 2.1896e-05 eta: 3:28:08 time: 0.0765 data_time: 0.0178 memory: 1735 loss: 1.1145 2023/04/03 02:24:45 - mmengine - INFO - Epoch(train) [70][1100/5005] lr: 2.1896e-05 eta: 3:28:00 time: 0.0765 data_time: 0.0180 memory: 1735 loss: 1.1431 2023/04/03 02:24:53 - mmengine - INFO - Epoch(train) [70][1200/5005] lr: 2.1896e-05 eta: 3:27:51 time: 0.0798 data_time: 0.0179 memory: 1684 loss: 1.2552 2023/04/03 02:25:02 - mmengine - INFO - Epoch(train) [70][1300/5005] lr: 2.1896e-05 eta: 3:27:43 time: 0.0798 data_time: 0.0176 memory: 1684 loss: 1.3155 2023/04/03 02:25:10 - mmengine - INFO - Epoch(train) [70][1400/5005] lr: 2.1896e-05 eta: 3:27:35 time: 0.0791 data_time: 0.0181 memory: 1684 loss: 1.1973 2023/04/03 02:25:18 - mmengine - INFO - Epoch(train) [70][1500/5005] lr: 2.1896e-05 eta: 3:27:27 time: 0.0795 data_time: 0.0179 memory: 1684 loss: 1.1248 2023/04/03 02:25:26 - mmengine - INFO - Epoch(train) [70][1600/5005] lr: 2.1896e-05 eta: 3:27:19 time: 0.0778 data_time: 0.0180 memory: 1684 loss: 1.3438 2023/04/03 02:25:30 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:25:34 - mmengine - INFO - Epoch(train) [70][1700/5005] lr: 2.1896e-05 eta: 3:27:11 time: 0.0789 data_time: 0.0178 memory: 1684 loss: 1.0880 2023/04/03 02:25:42 - mmengine - INFO - Epoch(train) [70][1800/5005] lr: 2.1896e-05 eta: 3:27:03 time: 0.0758 data_time: 0.0181 memory: 1684 loss: 1.1148 2023/04/03 02:25:50 - mmengine - INFO - Epoch(train) [70][1900/5005] lr: 2.1896e-05 eta: 3:26:55 time: 0.0794 data_time: 0.0188 memory: 1684 loss: 1.1195 2023/04/03 02:25:59 - mmengine - INFO - Epoch(train) [70][2000/5005] lr: 2.1896e-05 eta: 3:26:46 time: 0.0828 data_time: 0.0177 memory: 1684 loss: 1.1197 2023/04/03 02:26:07 - mmengine - INFO - Epoch(train) [70][2100/5005] lr: 2.1896e-05 eta: 3:26:38 time: 0.0761 data_time: 0.0177 memory: 1684 loss: 1.3454 2023/04/03 02:26:15 - mmengine - INFO - Epoch(train) [70][2200/5005] lr: 2.1896e-05 eta: 3:26:30 time: 0.0781 data_time: 0.0178 memory: 1684 loss: 1.1005 2023/04/03 02:26:23 - mmengine - INFO - Epoch(train) [70][2300/5005] lr: 2.1896e-05 eta: 3:26:22 time: 0.0808 data_time: 0.0178 memory: 1684 loss: 1.3484 2023/04/03 02:26:32 - mmengine - INFO - Epoch(train) [70][2400/5005] lr: 2.1896e-05 eta: 3:26:14 time: 0.0903 data_time: 0.0179 memory: 1684 loss: 0.9815 2023/04/03 02:26:40 - mmengine - INFO - Epoch(train) [70][2500/5005] lr: 2.1896e-05 eta: 3:26:06 time: 0.0762 data_time: 0.0178 memory: 1684 loss: 1.0729 2023/04/03 02:26:48 - mmengine - INFO - Epoch(train) [70][2600/5005] lr: 2.1896e-05 eta: 3:25:58 time: 0.0800 data_time: 0.0181 memory: 1684 loss: 1.1927 2023/04/03 02:26:52 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:26:56 - mmengine - INFO - Epoch(train) [70][2700/5005] lr: 2.1896e-05 eta: 3:25:50 time: 0.0763 data_time: 0.0180 memory: 1684 loss: 1.2555 2023/04/03 02:27:04 - mmengine - INFO - Epoch(train) [70][2800/5005] lr: 2.1896e-05 eta: 3:25:42 time: 0.0772 data_time: 0.0184 memory: 1684 loss: 1.3041 2023/04/03 02:27:12 - mmengine - INFO - Epoch(train) [70][2900/5005] lr: 2.1896e-05 eta: 3:25:33 time: 0.0823 data_time: 0.0181 memory: 1684 loss: 1.2473 2023/04/03 02:27:21 - mmengine - INFO - Epoch(train) [70][3000/5005] lr: 2.1896e-05 eta: 3:25:26 time: 0.0817 data_time: 0.0179 memory: 1684 loss: 1.1622 2023/04/03 02:27:29 - mmengine - INFO - Epoch(train) [70][3100/5005] lr: 2.1896e-05 eta: 3:25:18 time: 0.0807 data_time: 0.0179 memory: 1684 loss: 1.2275 2023/04/03 02:27:38 - mmengine - INFO - Epoch(train) [70][3200/5005] lr: 2.1896e-05 eta: 3:25:09 time: 0.0782 data_time: 0.0176 memory: 1684 loss: 1.2524 2023/04/03 02:27:46 - mmengine - INFO - Epoch(train) [70][3300/5005] lr: 2.1896e-05 eta: 3:25:01 time: 0.0793 data_time: 0.0179 memory: 1684 loss: 1.2422 2023/04/03 02:27:54 - mmengine - INFO - Epoch(train) [70][3400/5005] lr: 2.1896e-05 eta: 3:24:53 time: 0.0814 data_time: 0.0181 memory: 1684 loss: 1.2964 2023/04/03 02:28:03 - mmengine - INFO - Epoch(train) [70][3500/5005] lr: 2.1896e-05 eta: 3:24:45 time: 0.0789 data_time: 0.0175 memory: 1684 loss: 1.1639 2023/04/03 02:28:11 - mmengine - INFO - Epoch(train) [70][3600/5005] lr: 2.1896e-05 eta: 3:24:37 time: 0.0779 data_time: 0.0177 memory: 1684 loss: 1.2111 2023/04/03 02:28:15 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:28:19 - mmengine - INFO - Epoch(train) [70][3700/5005] lr: 2.1896e-05 eta: 3:24:29 time: 0.0915 data_time: 0.0182 memory: 1684 loss: 1.1554 2023/04/03 02:28:27 - mmengine - INFO - Epoch(train) [70][3800/5005] lr: 2.1896e-05 eta: 3:24:21 time: 0.0826 data_time: 0.0179 memory: 1684 loss: 1.1669 2023/04/03 02:28:35 - mmengine - INFO - Epoch(train) [70][3900/5005] lr: 2.1896e-05 eta: 3:24:13 time: 0.0796 data_time: 0.0178 memory: 1684 loss: 1.1607 2023/04/03 02:28:44 - mmengine - INFO - Epoch(train) [70][4000/5005] lr: 2.1896e-05 eta: 3:24:05 time: 0.0786 data_time: 0.0178 memory: 1684 loss: 1.1255 2023/04/03 02:28:52 - mmengine - INFO - Epoch(train) [70][4100/5005] lr: 2.1896e-05 eta: 3:23:57 time: 0.0781 data_time: 0.0180 memory: 1684 loss: 1.3582 2023/04/03 02:29:00 - mmengine - INFO - Epoch(train) [70][4200/5005] lr: 2.1896e-05 eta: 3:23:49 time: 0.0765 data_time: 0.0179 memory: 1684 loss: 1.3092 2023/04/03 02:29:08 - mmengine - INFO - Epoch(train) [70][4300/5005] lr: 2.1896e-05 eta: 3:23:40 time: 0.0782 data_time: 0.0178 memory: 1684 loss: 1.1663 2023/04/03 02:29:17 - mmengine - INFO - Epoch(train) [70][4400/5005] lr: 2.1896e-05 eta: 3:23:33 time: 0.0762 data_time: 0.0180 memory: 1684 loss: 1.1970 2023/04/03 02:29:25 - mmengine - INFO - Epoch(train) [70][4500/5005] lr: 2.1896e-05 eta: 3:23:25 time: 0.0797 data_time: 0.0180 memory: 1684 loss: 1.1869 2023/04/03 02:29:33 - mmengine - INFO - Epoch(train) [70][4600/5005] lr: 2.1896e-05 eta: 3:23:16 time: 0.0794 data_time: 0.0181 memory: 1684 loss: 1.3432 2023/04/03 02:29:38 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:29:41 - mmengine - INFO - Epoch(train) [70][4700/5005] lr: 2.1896e-05 eta: 3:23:08 time: 0.0773 data_time: 0.0182 memory: 1684 loss: 1.4515 2023/04/03 02:29:49 - mmengine - INFO - Epoch(train) [70][4800/5005] lr: 2.1896e-05 eta: 3:23:00 time: 0.0799 data_time: 0.0177 memory: 1684 loss: 1.2770 2023/04/03 02:29:58 - mmengine - INFO - Epoch(train) [70][4900/5005] lr: 2.1896e-05 eta: 3:22:52 time: 0.0854 data_time: 0.0178 memory: 1684 loss: 1.2387 2023/04/03 02:30:06 - mmengine - INFO - Epoch(train) [70][5000/5005] lr: 2.1896e-05 eta: 3:22:44 time: 0.0867 data_time: 0.0177 memory: 1684 loss: 1.1235 2023/04/03 02:30:07 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:30:07 - mmengine - INFO - Saving checkpoint at 70 epochs 2023/04/03 02:30:13 - mmengine - INFO - Epoch(val) [70][100/196] eta: 0:00:04 time: 0.0354 data_time: 0.0095 memory: 1684 2023/04/03 02:30:26 - mmengine - INFO - Epoch(val) [70][196/196] qat.accuracy/top1: 69.9300 qat.accuracy/top5: 89.2040data_time: 0.0074 time: 0.0315 2023/04/03 02:30:30 - mmengine - INFO - Epoch(val) [70][100/196] eta: 0:00:03 time: 0.0356 data_time: 0.0081 memory: 513 2023/04/03 02:30:44 - mmengine - INFO - Epoch(val) [70][196/196] qat.accuracy/top1: 69.8580 qat.accuracy/top5: 89.2540data_time: 0.0070 time: 0.0336 2023/04/03 02:30:47 - mmengine - INFO - Epoch(val) [70][100/196] eta: 0:00:02 time: 0.0251 data_time: 0.0146 memory: 470 2023/04/03 02:31:00 - mmengine - INFO - Epoch(val) [70][196/196] original.accuracy/top1: 69.8400 original.accuracy/top5: 89.2820data_time: 0.0392 time: 0.0488 2023/04/03 02:31:09 - mmengine - INFO - Epoch(train) [71][ 100/5005] lr: 2.0611e-05 eta: 3:22:36 time: 0.0841 data_time: 0.0179 memory: 1735 loss: 1.2541 2023/04/03 02:31:18 - mmengine - INFO - Epoch(train) [71][ 200/5005] lr: 2.0611e-05 eta: 3:22:28 time: 0.0811 data_time: 0.0182 memory: 1735 loss: 1.1730 2023/04/03 02:31:27 - mmengine - INFO - Epoch(train) [71][ 300/5005] lr: 2.0611e-05 eta: 3:22:20 time: 0.1030 data_time: 0.0176 memory: 1735 loss: 1.5414 2023/04/03 02:31:36 - mmengine - INFO - Epoch(train) [71][ 400/5005] lr: 2.0611e-05 eta: 3:22:13 time: 0.0846 data_time: 0.0180 memory: 1684 loss: 1.3243 2023/04/03 02:31:44 - mmengine - INFO - Epoch(train) [71][ 500/5005] lr: 2.0611e-05 eta: 3:22:05 time: 0.0928 data_time: 0.0175 memory: 1684 loss: 1.1005 2023/04/03 02:31:53 - mmengine - INFO - Epoch(train) [71][ 600/5005] lr: 2.0611e-05 eta: 3:21:57 time: 0.0760 data_time: 0.0180 memory: 1684 loss: 1.2507 2023/04/03 02:31:57 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:32:01 - mmengine - INFO - Epoch(train) [71][ 700/5005] lr: 2.0611e-05 eta: 3:21:49 time: 0.0920 data_time: 0.0330 memory: 1684 loss: 1.1468 2023/04/03 02:32:09 - mmengine - INFO - Epoch(train) [71][ 800/5005] lr: 2.0611e-05 eta: 3:21:41 time: 0.0917 data_time: 0.0308 memory: 1684 loss: 1.1052 2023/04/03 02:32:18 - mmengine - INFO - Epoch(train) [71][ 900/5005] lr: 2.0611e-05 eta: 3:21:32 time: 0.0816 data_time: 0.0195 memory: 1684 loss: 1.1595 2023/04/03 02:32:26 - mmengine - INFO - Epoch(train) [71][1000/5005] lr: 2.0611e-05 eta: 3:21:24 time: 0.0771 data_time: 0.0190 memory: 1684 loss: 1.2902 2023/04/03 02:32:34 - mmengine - INFO - Epoch(train) [71][1100/5005] lr: 2.0611e-05 eta: 3:21:16 time: 0.0751 data_time: 0.0189 memory: 1684 loss: 1.2071 2023/04/03 02:32:42 - mmengine - INFO - Epoch(train) [71][1200/5005] lr: 2.0611e-05 eta: 3:21:08 time: 0.0754 data_time: 0.0184 memory: 1684 loss: 1.3607 2023/04/03 02:32:51 - mmengine - INFO - Epoch(train) [71][1300/5005] lr: 2.0611e-05 eta: 3:21:00 time: 0.0761 data_time: 0.0184 memory: 1684 loss: 1.3570 2023/04/03 02:32:59 - mmengine - INFO - Epoch(train) [71][1400/5005] lr: 2.0611e-05 eta: 3:20:52 time: 0.0806 data_time: 0.0185 memory: 1684 loss: 1.0008 2023/04/03 02:33:07 - mmengine - INFO - Epoch(train) [71][1500/5005] lr: 2.0611e-05 eta: 3:20:44 time: 0.0785 data_time: 0.0188 memory: 1684 loss: 1.2610 2023/04/03 02:33:15 - mmengine - INFO - Epoch(train) [71][1600/5005] lr: 2.0611e-05 eta: 3:20:36 time: 0.0783 data_time: 0.0187 memory: 1684 loss: 1.2593 2023/04/03 02:33:19 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:33:24 - mmengine - INFO - Epoch(train) [71][1700/5005] lr: 2.0611e-05 eta: 3:20:28 time: 0.0925 data_time: 0.0180 memory: 1684 loss: 1.2559 2023/04/03 02:33:32 - mmengine - INFO - Epoch(train) [71][1800/5005] lr: 2.0611e-05 eta: 3:20:20 time: 0.0769 data_time: 0.0187 memory: 1684 loss: 1.3641 2023/04/03 02:33:40 - mmengine - INFO - Epoch(train) [71][1900/5005] lr: 2.0611e-05 eta: 3:20:12 time: 0.0767 data_time: 0.0187 memory: 1684 loss: 1.2257 2023/04/03 02:33:48 - mmengine - INFO - Epoch(train) [71][2000/5005] lr: 2.0611e-05 eta: 3:20:03 time: 0.0782 data_time: 0.0190 memory: 1684 loss: 1.3249 2023/04/03 02:33:56 - mmengine - INFO - Epoch(train) [71][2100/5005] lr: 2.0611e-05 eta: 3:19:55 time: 0.0800 data_time: 0.0185 memory: 1684 loss: 1.1824 2023/04/03 02:34:04 - mmengine - INFO - Epoch(train) [71][2200/5005] lr: 2.0611e-05 eta: 3:19:47 time: 0.0838 data_time: 0.0248 memory: 1684 loss: 1.2503 2023/04/03 02:34:13 - mmengine - INFO - Epoch(train) [71][2300/5005] lr: 2.0611e-05 eta: 3:19:39 time: 0.0763 data_time: 0.0184 memory: 1684 loss: 1.1585 2023/04/03 02:34:21 - mmengine - INFO - Epoch(train) [71][2400/5005] lr: 2.0611e-05 eta: 3:19:31 time: 0.0791 data_time: 0.0199 memory: 1684 loss: 1.1887 2023/04/03 02:34:29 - mmengine - INFO - Epoch(train) [71][2500/5005] lr: 2.0611e-05 eta: 3:19:23 time: 0.0793 data_time: 0.0182 memory: 1684 loss: 1.3737 2023/04/03 02:34:37 - mmengine - INFO - Epoch(train) [71][2600/5005] lr: 2.0611e-05 eta: 3:19:15 time: 0.0799 data_time: 0.0184 memory: 1684 loss: 1.3785 2023/04/03 02:34:41 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:34:45 - mmengine - INFO - Epoch(train) [71][2700/5005] lr: 2.0611e-05 eta: 3:19:07 time: 0.0784 data_time: 0.0183 memory: 1684 loss: 1.1295 2023/04/03 02:34:54 - mmengine - INFO - Epoch(train) [71][2800/5005] lr: 2.0611e-05 eta: 3:18:59 time: 0.0794 data_time: 0.0195 memory: 1684 loss: 1.1866 2023/04/03 02:35:02 - mmengine - INFO - Epoch(train) [71][2900/5005] lr: 2.0611e-05 eta: 3:18:50 time: 0.0757 data_time: 0.0187 memory: 1684 loss: 1.1591 2023/04/03 02:35:10 - mmengine - INFO - Epoch(train) [71][3000/5005] lr: 2.0611e-05 eta: 3:18:42 time: 0.0774 data_time: 0.0186 memory: 1684 loss: 1.2879 2023/04/03 02:35:18 - mmengine - INFO - Epoch(train) [71][3100/5005] lr: 2.0611e-05 eta: 3:18:34 time: 0.0989 data_time: 0.0367 memory: 1684 loss: 1.2955 2023/04/03 02:35:26 - mmengine - INFO - Epoch(train) [71][3200/5005] lr: 2.0611e-05 eta: 3:18:26 time: 0.0773 data_time: 0.0183 memory: 1684 loss: 1.3358 2023/04/03 02:35:34 - mmengine - INFO - Epoch(train) [71][3300/5005] lr: 2.0611e-05 eta: 3:18:18 time: 0.0763 data_time: 0.0182 memory: 1684 loss: 1.1450 2023/04/03 02:35:43 - mmengine - INFO - Epoch(train) [71][3400/5005] lr: 2.0611e-05 eta: 3:18:10 time: 0.0776 data_time: 0.0183 memory: 1684 loss: 1.2192 2023/04/03 02:35:52 - mmengine - INFO - Epoch(train) [71][3500/5005] lr: 2.0611e-05 eta: 3:18:02 time: 0.0786 data_time: 0.0189 memory: 1684 loss: 1.2902 2023/04/03 02:36:00 - mmengine - INFO - Epoch(train) [71][3600/5005] lr: 2.0611e-05 eta: 3:17:54 time: 0.0796 data_time: 0.0189 memory: 1684 loss: 1.2988 2023/04/03 02:36:04 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:36:08 - mmengine - INFO - Epoch(train) [71][3700/5005] lr: 2.0611e-05 eta: 3:17:46 time: 0.0780 data_time: 0.0191 memory: 1684 loss: 1.1188 2023/04/03 02:36:16 - mmengine - INFO - Epoch(train) [71][3800/5005] lr: 2.0611e-05 eta: 3:17:38 time: 0.0940 data_time: 0.0185 memory: 1684 loss: 1.1815 2023/04/03 02:36:24 - mmengine - INFO - Epoch(train) [71][3900/5005] lr: 2.0611e-05 eta: 3:17:29 time: 0.0763 data_time: 0.0185 memory: 1684 loss: 1.3783 2023/04/03 02:36:32 - mmengine - INFO - Epoch(train) [71][4000/5005] lr: 2.0611e-05 eta: 3:17:21 time: 0.0811 data_time: 0.0187 memory: 1684 loss: 1.3417 2023/04/03 02:36:41 - mmengine - INFO - Epoch(train) [71][4100/5005] lr: 2.0611e-05 eta: 3:17:13 time: 0.0799 data_time: 0.0184 memory: 1684 loss: 1.0872 2023/04/03 02:36:49 - mmengine - INFO - Epoch(train) [71][4200/5005] lr: 2.0611e-05 eta: 3:17:05 time: 0.0916 data_time: 0.0302 memory: 1684 loss: 1.2922 2023/04/03 02:36:57 - mmengine - INFO - Epoch(train) [71][4300/5005] lr: 2.0611e-05 eta: 3:16:57 time: 0.0814 data_time: 0.0183 memory: 1684 loss: 1.2324 2023/04/03 02:37:05 - mmengine - INFO - Epoch(train) [71][4400/5005] lr: 2.0611e-05 eta: 3:16:49 time: 0.0791 data_time: 0.0181 memory: 1684 loss: 0.9286 2023/04/03 02:37:14 - mmengine - INFO - Epoch(train) [71][4500/5005] lr: 2.0611e-05 eta: 3:16:41 time: 0.0808 data_time: 0.0194 memory: 1684 loss: 1.1511 2023/04/03 02:37:22 - mmengine - INFO - Epoch(train) [71][4600/5005] lr: 2.0611e-05 eta: 3:16:33 time: 0.0819 data_time: 0.0210 memory: 1684 loss: 0.9898 2023/04/03 02:37:26 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:37:31 - mmengine - INFO - Epoch(train) [71][4700/5005] lr: 2.0611e-05 eta: 3:16:25 time: 0.0779 data_time: 0.0184 memory: 1684 loss: 1.1411 2023/04/03 02:37:39 - mmengine - INFO - Epoch(train) [71][4800/5005] lr: 2.0611e-05 eta: 3:16:17 time: 0.0790 data_time: 0.0189 memory: 1684 loss: 1.2703 2023/04/03 02:37:47 - mmengine - INFO - Epoch(train) [71][4900/5005] lr: 2.0611e-05 eta: 3:16:09 time: 0.0863 data_time: 0.0189 memory: 1684 loss: 1.1825 2023/04/03 02:37:55 - mmengine - INFO - Epoch(train) [71][5000/5005] lr: 2.0611e-05 eta: 3:16:01 time: 0.0782 data_time: 0.0194 memory: 1684 loss: 1.3624 2023/04/03 02:37:56 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:37:56 - mmengine - INFO - Saving checkpoint at 71 epochs 2023/04/03 02:38:01 - mmengine - INFO - Epoch(val) [71][100/196] eta: 0:00:03 time: 0.0359 data_time: 0.0084 memory: 1684 2023/04/03 02:38:14 - mmengine - INFO - Epoch(val) [71][196/196] qat.accuracy/top1: 69.9200 qat.accuracy/top5: 89.2820data_time: 0.0060 time: 0.0297 2023/04/03 02:38:19 - mmengine - INFO - Epoch(val) [71][100/196] eta: 0:00:04 time: 0.0359 data_time: 0.0079 memory: 513 2023/04/03 02:38:32 - mmengine - INFO - Epoch(val) [71][196/196] qat.accuracy/top1: 69.9360 qat.accuracy/top5: 89.1840data_time: 0.0078 time: 0.0350 2023/04/03 02:38:35 - mmengine - INFO - Epoch(val) [71][100/196] eta: 0:00:02 time: 0.0278 data_time: 0.0171 memory: 470 2023/04/03 02:38:47 - mmengine - INFO - Epoch(val) [71][196/196] original.accuracy/top1: 69.8160 original.accuracy/top5: 89.1760data_time: 0.0242 time: 0.0342 2023/04/03 02:38:56 - mmengine - INFO - Epoch(train) [72][ 100/5005] lr: 1.9355e-05 eta: 3:15:53 time: 0.0955 data_time: 0.0182 memory: 1735 loss: 1.2879 2023/04/03 02:39:05 - mmengine - INFO - Epoch(train) [72][ 200/5005] lr: 1.9355e-05 eta: 3:15:45 time: 0.0808 data_time: 0.0184 memory: 1735 loss: 1.2934 2023/04/03 02:39:13 - mmengine - INFO - Epoch(train) [72][ 300/5005] lr: 1.9355e-05 eta: 3:15:37 time: 0.0807 data_time: 0.0190 memory: 1735 loss: 1.4181 2023/04/03 02:39:22 - mmengine - INFO - Epoch(train) [72][ 400/5005] lr: 1.9355e-05 eta: 3:15:29 time: 0.0796 data_time: 0.0196 memory: 1735 loss: 1.2511 2023/04/03 02:39:30 - mmengine - INFO - Epoch(train) [72][ 500/5005] lr: 1.9355e-05 eta: 3:15:21 time: 0.0800 data_time: 0.0193 memory: 1735 loss: 1.2581 2023/04/03 02:39:39 - mmengine - INFO - Epoch(train) [72][ 600/5005] lr: 1.9355e-05 eta: 3:15:13 time: 0.0782 data_time: 0.0191 memory: 1735 loss: 1.2560 2023/04/03 02:39:43 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:39:47 - mmengine - INFO - Epoch(train) [72][ 700/5005] lr: 1.9355e-05 eta: 3:15:05 time: 0.0762 data_time: 0.0181 memory: 1735 loss: 1.3114 2023/04/03 02:39:56 - mmengine - INFO - Epoch(train) [72][ 800/5005] lr: 1.9355e-05 eta: 3:14:57 time: 0.0789 data_time: 0.0182 memory: 1735 loss: 1.1551 2023/04/03 02:40:04 - mmengine - INFO - Epoch(train) [72][ 900/5005] lr: 1.9355e-05 eta: 3:14:49 time: 0.0808 data_time: 0.0181 memory: 1684 loss: 1.2173 2023/04/03 02:40:12 - mmengine - INFO - Epoch(train) [72][1000/5005] lr: 1.9355e-05 eta: 3:14:41 time: 0.0787 data_time: 0.0178 memory: 1684 loss: 1.3174 2023/04/03 02:40:21 - mmengine - INFO - Epoch(train) [72][1100/5005] lr: 1.9355e-05 eta: 3:14:33 time: 0.0776 data_time: 0.0181 memory: 1684 loss: 1.0689 2023/04/03 02:40:29 - mmengine - INFO - Epoch(train) [72][1200/5005] lr: 1.9355e-05 eta: 3:14:25 time: 0.0902 data_time: 0.0180 memory: 1684 loss: 1.0331 2023/04/03 02:40:37 - mmengine - INFO - Epoch(train) [72][1300/5005] lr: 1.9355e-05 eta: 3:14:17 time: 0.0822 data_time: 0.0179 memory: 1684 loss: 1.1466 2023/04/03 02:40:45 - mmengine - INFO - Epoch(train) [72][1400/5005] lr: 1.9355e-05 eta: 3:14:08 time: 0.0795 data_time: 0.0185 memory: 1684 loss: 1.2533 2023/04/03 02:40:54 - mmengine - INFO - Epoch(train) [72][1500/5005] lr: 1.9355e-05 eta: 3:14:00 time: 0.0787 data_time: 0.0184 memory: 1684 loss: 1.0930 2023/04/03 02:41:02 - mmengine - INFO - Epoch(train) [72][1600/5005] lr: 1.9355e-05 eta: 3:13:52 time: 0.0783 data_time: 0.0183 memory: 1684 loss: 1.1228 2023/04/03 02:41:05 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:41:10 - mmengine - INFO - Epoch(train) [72][1700/5005] lr: 1.9355e-05 eta: 3:13:44 time: 0.0796 data_time: 0.0178 memory: 1684 loss: 1.1362 2023/04/03 02:41:18 - mmengine - INFO - Epoch(train) [72][1800/5005] lr: 1.9355e-05 eta: 3:13:36 time: 0.0918 data_time: 0.0188 memory: 1684 loss: 1.2385 2023/04/03 02:41:27 - mmengine - INFO - Epoch(train) [72][1900/5005] lr: 1.9355e-05 eta: 3:13:28 time: 0.0774 data_time: 0.0179 memory: 1684 loss: 1.2451 2023/04/03 02:41:34 - mmengine - INFO - Epoch(train) [72][2000/5005] lr: 1.9355e-05 eta: 3:13:20 time: 0.0869 data_time: 0.0243 memory: 1684 loss: 1.3408 2023/04/03 02:41:43 - mmengine - INFO - Epoch(train) [72][2100/5005] lr: 1.9355e-05 eta: 3:13:12 time: 0.0824 data_time: 0.0182 memory: 1684 loss: 1.1778 2023/04/03 02:41:51 - mmengine - INFO - Epoch(train) [72][2200/5005] lr: 1.9355e-05 eta: 3:13:03 time: 0.0800 data_time: 0.0202 memory: 1684 loss: 1.1355 2023/04/03 02:41:59 - mmengine - INFO - Epoch(train) [72][2300/5005] lr: 1.9355e-05 eta: 3:12:55 time: 0.0784 data_time: 0.0181 memory: 1684 loss: 1.0961 2023/04/03 02:42:07 - mmengine - INFO - Epoch(train) [72][2400/5005] lr: 1.9355e-05 eta: 3:12:47 time: 0.0889 data_time: 0.0286 memory: 1684 loss: 1.1289 2023/04/03 02:42:15 - mmengine - INFO - Epoch(train) [72][2500/5005] lr: 1.9355e-05 eta: 3:12:39 time: 0.0804 data_time: 0.0196 memory: 1684 loss: 1.2504 2023/04/03 02:42:24 - mmengine - INFO - Epoch(train) [72][2600/5005] lr: 1.9355e-05 eta: 3:12:31 time: 0.0797 data_time: 0.0189 memory: 1684 loss: 1.2417 2023/04/03 02:42:27 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:42:32 - mmengine - INFO - Epoch(train) [72][2700/5005] lr: 1.9355e-05 eta: 3:12:23 time: 0.0825 data_time: 0.0180 memory: 1684 loss: 1.2567 2023/04/03 02:42:40 - mmengine - INFO - Epoch(train) [72][2800/5005] lr: 1.9355e-05 eta: 3:12:15 time: 0.0898 data_time: 0.0186 memory: 1684 loss: 1.3032 2023/04/03 02:42:48 - mmengine - INFO - Epoch(train) [72][2900/5005] lr: 1.9355e-05 eta: 3:12:07 time: 0.0790 data_time: 0.0184 memory: 1684 loss: 1.0365 2023/04/03 02:42:57 - mmengine - INFO - Epoch(train) [72][3000/5005] lr: 1.9355e-05 eta: 3:11:59 time: 0.0821 data_time: 0.0188 memory: 1684 loss: 1.2338 2023/04/03 02:43:05 - mmengine - INFO - Epoch(train) [72][3100/5005] lr: 1.9355e-05 eta: 3:11:51 time: 0.0790 data_time: 0.0178 memory: 1684 loss: 1.2096 2023/04/03 02:43:14 - mmengine - INFO - Epoch(train) [72][3200/5005] lr: 1.9355e-05 eta: 3:11:43 time: 0.1108 data_time: 0.0181 memory: 1684 loss: 1.4130 2023/04/03 02:43:22 - mmengine - INFO - Epoch(train) [72][3300/5005] lr: 1.9355e-05 eta: 3:11:34 time: 0.0815 data_time: 0.0200 memory: 1684 loss: 1.3368 2023/04/03 02:43:30 - mmengine - INFO - Epoch(train) [72][3400/5005] lr: 1.9355e-05 eta: 3:11:26 time: 0.0781 data_time: 0.0184 memory: 1684 loss: 1.1186 2023/04/03 02:43:38 - mmengine - INFO - Epoch(train) [72][3500/5005] lr: 1.9355e-05 eta: 3:11:18 time: 0.0947 data_time: 0.0340 memory: 1684 loss: 1.1132 2023/04/03 02:43:47 - mmengine - INFO - Epoch(train) [72][3600/5005] lr: 1.9355e-05 eta: 3:11:10 time: 0.0768 data_time: 0.0181 memory: 1684 loss: 1.2247 2023/04/03 02:43:50 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:43:55 - mmengine - INFO - Epoch(train) [72][3700/5005] lr: 1.9355e-05 eta: 3:11:02 time: 0.0850 data_time: 0.0203 memory: 1684 loss: 1.1043 2023/04/03 02:44:03 - mmengine - INFO - Epoch(train) [72][3800/5005] lr: 1.9355e-05 eta: 3:10:54 time: 0.0983 data_time: 0.0203 memory: 1684 loss: 1.1619 2023/04/03 02:44:12 - mmengine - INFO - Epoch(train) [72][3900/5005] lr: 1.9355e-05 eta: 3:10:46 time: 0.0774 data_time: 0.0179 memory: 1684 loss: 1.2902 2023/04/03 02:44:20 - mmengine - INFO - Epoch(train) [72][4000/5005] lr: 1.9355e-05 eta: 3:10:38 time: 0.0947 data_time: 0.0186 memory: 1684 loss: 1.2586 2023/04/03 02:44:29 - mmengine - INFO - Epoch(train) [72][4100/5005] lr: 1.9355e-05 eta: 3:10:30 time: 0.0857 data_time: 0.0257 memory: 1684 loss: 1.2475 2023/04/03 02:44:37 - mmengine - INFO - Epoch(train) [72][4200/5005] lr: 1.9355e-05 eta: 3:10:22 time: 0.0784 data_time: 0.0180 memory: 1684 loss: 1.3767 2023/04/03 02:44:45 - mmengine - INFO - Epoch(train) [72][4300/5005] lr: 1.9355e-05 eta: 3:10:14 time: 0.0787 data_time: 0.0185 memory: 1684 loss: 1.1815 2023/04/03 02:44:54 - mmengine - INFO - Epoch(train) [72][4400/5005] lr: 1.9355e-05 eta: 3:10:06 time: 0.0773 data_time: 0.0181 memory: 1684 loss: 1.1314 2023/04/03 02:45:02 - mmengine - INFO - Epoch(train) [72][4500/5005] lr: 1.9355e-05 eta: 3:09:58 time: 0.0897 data_time: 0.0196 memory: 1684 loss: 1.0907 2023/04/03 02:45:10 - mmengine - INFO - Epoch(train) [72][4600/5005] lr: 1.9355e-05 eta: 3:09:50 time: 0.0805 data_time: 0.0171 memory: 1684 loss: 1.2850 2023/04/03 02:45:14 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:45:19 - mmengine - INFO - Epoch(train) [72][4700/5005] lr: 1.9355e-05 eta: 3:09:42 time: 0.0768 data_time: 0.0180 memory: 1684 loss: 1.2607 2023/04/03 02:45:27 - mmengine - INFO - Epoch(train) [72][4800/5005] lr: 1.9355e-05 eta: 3:09:34 time: 0.0775 data_time: 0.0184 memory: 1684 loss: 1.2861 2023/04/03 02:45:35 - mmengine - INFO - Epoch(train) [72][4900/5005] lr: 1.9355e-05 eta: 3:09:26 time: 0.0865 data_time: 0.0181 memory: 1684 loss: 1.1444 2023/04/03 02:45:43 - mmengine - INFO - Epoch(train) [72][5000/5005] lr: 1.9355e-05 eta: 3:09:18 time: 0.0793 data_time: 0.0186 memory: 1684 loss: 1.1250 2023/04/03 02:45:44 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:45:44 - mmengine - INFO - Saving checkpoint at 72 epochs 2023/04/03 02:45:49 - mmengine - INFO - Epoch(val) [72][100/196] eta: 0:00:03 time: 0.0364 data_time: 0.0085 memory: 1684 2023/04/03 02:46:02 - mmengine - INFO - Epoch(val) [72][196/196] qat.accuracy/top1: 69.8460 qat.accuracy/top5: 89.2520data_time: 0.0082 time: 0.0322 2023/04/03 02:46:06 - mmengine - INFO - Epoch(val) [72][100/196] eta: 0:00:03 time: 0.0361 data_time: 0.0080 memory: 513 2023/04/03 02:46:20 - mmengine - INFO - Epoch(val) [72][196/196] qat.accuracy/top1: 69.9040 qat.accuracy/top5: 89.2700data_time: 0.0070 time: 0.0344 2023/04/03 02:46:23 - mmengine - INFO - Epoch(val) [72][100/196] eta: 0:00:02 time: 0.0240 data_time: 0.0124 memory: 470 2023/04/03 02:46:35 - mmengine - INFO - Epoch(val) [72][196/196] original.accuracy/top1: 69.7900 original.accuracy/top5: 89.2100data_time: 0.0347 time: 0.0448 2023/04/03 02:46:46 - mmengine - INFO - Epoch(train) [73][ 100/5005] lr: 1.8129e-05 eta: 3:09:10 time: 0.0780 data_time: 0.0175 memory: 1735 loss: 1.2282 2023/04/03 02:46:54 - mmengine - INFO - Epoch(train) [73][ 200/5005] lr: 1.8129e-05 eta: 3:09:02 time: 0.0786 data_time: 0.0175 memory: 1735 loss: 1.1520 2023/04/03 02:47:02 - mmengine - INFO - Epoch(train) [73][ 300/5005] lr: 1.8129e-05 eta: 3:08:54 time: 0.0909 data_time: 0.0175 memory: 1735 loss: 1.2433 2023/04/03 02:47:10 - mmengine - INFO - Epoch(train) [73][ 400/5005] lr: 1.8129e-05 eta: 3:08:45 time: 0.0763 data_time: 0.0182 memory: 1735 loss: 1.1436 2023/04/03 02:47:18 - mmengine - INFO - Epoch(train) [73][ 500/5005] lr: 1.8129e-05 eta: 3:08:37 time: 0.0798 data_time: 0.0195 memory: 1735 loss: 1.0676 2023/04/03 02:47:27 - mmengine - INFO - Epoch(train) [73][ 600/5005] lr: 1.8129e-05 eta: 3:08:29 time: 0.1039 data_time: 0.0184 memory: 1735 loss: 1.1048 2023/04/03 02:47:30 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:47:35 - mmengine - INFO - Epoch(train) [73][ 700/5005] lr: 1.8129e-05 eta: 3:08:21 time: 0.0798 data_time: 0.0184 memory: 1684 loss: 1.1091 2023/04/03 02:47:44 - mmengine - INFO - Epoch(train) [73][ 800/5005] lr: 1.8129e-05 eta: 3:08:13 time: 0.0794 data_time: 0.0185 memory: 1684 loss: 1.1662 2023/04/03 02:47:52 - mmengine - INFO - Epoch(train) [73][ 900/5005] lr: 1.8129e-05 eta: 3:08:05 time: 0.0788 data_time: 0.0186 memory: 1684 loss: 1.2297 2023/04/03 02:48:01 - mmengine - INFO - Epoch(train) [73][1000/5005] lr: 1.8129e-05 eta: 3:07:57 time: 0.0802 data_time: 0.0182 memory: 1684 loss: 1.0623 2023/04/03 02:48:09 - mmengine - INFO - Epoch(train) [73][1100/5005] lr: 1.8129e-05 eta: 3:07:49 time: 0.0931 data_time: 0.0181 memory: 1684 loss: 1.1592 2023/04/03 02:48:18 - mmengine - INFO - Epoch(train) [73][1200/5005] lr: 1.8129e-05 eta: 3:07:41 time: 0.1113 data_time: 0.0188 memory: 1684 loss: 1.3223 2023/04/03 02:48:26 - mmengine - INFO - Epoch(train) [73][1300/5005] lr: 1.8129e-05 eta: 3:07:33 time: 0.0775 data_time: 0.0189 memory: 1684 loss: 1.1300 2023/04/03 02:48:34 - mmengine - INFO - Epoch(train) [73][1400/5005] lr: 1.8129e-05 eta: 3:07:25 time: 0.0788 data_time: 0.0182 memory: 1684 loss: 1.2376 2023/04/03 02:48:43 - mmengine - INFO - Epoch(train) [73][1500/5005] lr: 1.8129e-05 eta: 3:07:17 time: 0.0778 data_time: 0.0181 memory: 1684 loss: 1.1433 2023/04/03 02:48:51 - mmengine - INFO - Epoch(train) [73][1600/5005] lr: 1.8129e-05 eta: 3:07:09 time: 0.0787 data_time: 0.0187 memory: 1684 loss: 1.2476 2023/04/03 02:48:54 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:48:59 - mmengine - INFO - Epoch(train) [73][1700/5005] lr: 1.8129e-05 eta: 3:07:01 time: 0.0892 data_time: 0.0286 memory: 1684 loss: 1.1841 2023/04/03 02:49:07 - mmengine - INFO - Epoch(train) [73][1800/5005] lr: 1.8129e-05 eta: 3:06:53 time: 0.0773 data_time: 0.0178 memory: 1684 loss: 1.1251 2023/04/03 02:49:15 - mmengine - INFO - Epoch(train) [73][1900/5005] lr: 1.8129e-05 eta: 3:06:45 time: 0.0805 data_time: 0.0186 memory: 1684 loss: 1.0091 2023/04/03 02:49:24 - mmengine - INFO - Epoch(train) [73][2000/5005] lr: 1.8129e-05 eta: 3:06:37 time: 0.0862 data_time: 0.0182 memory: 1684 loss: 1.0410 2023/04/03 02:49:32 - mmengine - INFO - Epoch(train) [73][2100/5005] lr: 1.8129e-05 eta: 3:06:29 time: 0.0907 data_time: 0.0183 memory: 1684 loss: 1.0573 2023/04/03 02:49:40 - mmengine - INFO - Epoch(train) [73][2200/5005] lr: 1.8129e-05 eta: 3:06:21 time: 0.1047 data_time: 0.0181 memory: 1684 loss: 1.1071 2023/04/03 02:49:49 - mmengine - INFO - Epoch(train) [73][2300/5005] lr: 1.8129e-05 eta: 3:06:12 time: 0.0794 data_time: 0.0181 memory: 1684 loss: 1.0310 2023/04/03 02:49:57 - mmengine - INFO - Epoch(train) [73][2400/5005] lr: 1.8129e-05 eta: 3:06:04 time: 0.0803 data_time: 0.0181 memory: 1684 loss: 1.2966 2023/04/03 02:50:05 - mmengine - INFO - Epoch(train) [73][2500/5005] lr: 1.8129e-05 eta: 3:05:56 time: 0.0956 data_time: 0.0185 memory: 1684 loss: 1.0683 2023/04/03 02:50:13 - mmengine - INFO - Epoch(train) [73][2600/5005] lr: 1.8129e-05 eta: 3:05:48 time: 0.0784 data_time: 0.0185 memory: 1684 loss: 1.2218 2023/04/03 02:50:17 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:50:21 - mmengine - INFO - Epoch(train) [73][2700/5005] lr: 1.8129e-05 eta: 3:05:40 time: 0.0791 data_time: 0.0197 memory: 1684 loss: 1.1994 2023/04/03 02:50:30 - mmengine - INFO - Epoch(train) [73][2800/5005] lr: 1.8129e-05 eta: 3:05:32 time: 0.0887 data_time: 0.0180 memory: 1684 loss: 1.2184 2023/04/03 02:50:38 - mmengine - INFO - Epoch(train) [73][2900/5005] lr: 1.8129e-05 eta: 3:05:24 time: 0.0761 data_time: 0.0180 memory: 1684 loss: 1.2042 2023/04/03 02:50:46 - mmengine - INFO - Epoch(train) [73][3000/5005] lr: 1.8129e-05 eta: 3:05:16 time: 0.0762 data_time: 0.0180 memory: 1684 loss: 1.2471 2023/04/03 02:50:54 - mmengine - INFO - Epoch(train) [73][3100/5005] lr: 1.8129e-05 eta: 3:05:07 time: 0.0788 data_time: 0.0180 memory: 1684 loss: 1.0950 2023/04/03 02:51:03 - mmengine - INFO - Epoch(train) [73][3200/5005] lr: 1.8129e-05 eta: 3:05:00 time: 0.0938 data_time: 0.0180 memory: 1684 loss: 1.1557 2023/04/03 02:51:11 - mmengine - INFO - Epoch(train) [73][3300/5005] lr: 1.8129e-05 eta: 3:04:52 time: 0.0807 data_time: 0.0178 memory: 1684 loss: 1.0561 2023/04/03 02:51:20 - mmengine - INFO - Epoch(train) [73][3400/5005] lr: 1.8129e-05 eta: 3:04:44 time: 0.0828 data_time: 0.0178 memory: 1684 loss: 1.1746 2023/04/03 02:51:28 - mmengine - INFO - Epoch(train) [73][3500/5005] lr: 1.8129e-05 eta: 3:04:36 time: 0.0803 data_time: 0.0177 memory: 1684 loss: 1.3386 2023/04/03 02:51:37 - mmengine - INFO - Epoch(train) [73][3600/5005] lr: 1.8129e-05 eta: 3:04:28 time: 0.0801 data_time: 0.0178 memory: 1684 loss: 1.2792 2023/04/03 02:51:40 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:51:45 - mmengine - INFO - Epoch(train) [73][3700/5005] lr: 1.8129e-05 eta: 3:04:20 time: 0.0900 data_time: 0.0176 memory: 1684 loss: 1.3635 2023/04/03 02:51:53 - mmengine - INFO - Epoch(train) [73][3800/5005] lr: 1.8129e-05 eta: 3:04:11 time: 0.0888 data_time: 0.0179 memory: 1684 loss: 1.1154 2023/04/03 02:52:02 - mmengine - INFO - Epoch(train) [73][3900/5005] lr: 1.8129e-05 eta: 3:04:03 time: 0.0877 data_time: 0.0178 memory: 1684 loss: 0.9581 2023/04/03 02:52:10 - mmengine - INFO - Epoch(train) [73][4000/5005] lr: 1.8129e-05 eta: 3:03:55 time: 0.0784 data_time: 0.0180 memory: 1684 loss: 1.3195 2023/04/03 02:52:19 - mmengine - INFO - Epoch(train) [73][4100/5005] lr: 1.8129e-05 eta: 3:03:47 time: 0.0837 data_time: 0.0172 memory: 1684 loss: 1.2203 2023/04/03 02:52:27 - mmengine - INFO - Epoch(train) [73][4200/5005] lr: 1.8129e-05 eta: 3:03:39 time: 0.0825 data_time: 0.0179 memory: 1684 loss: 1.3044 2023/04/03 02:52:35 - mmengine - INFO - Epoch(train) [73][4300/5005] lr: 1.8129e-05 eta: 3:03:31 time: 0.0780 data_time: 0.0180 memory: 1684 loss: 1.2728 2023/04/03 02:52:43 - mmengine - INFO - Epoch(train) [73][4400/5005] lr: 1.8129e-05 eta: 3:03:23 time: 0.0928 data_time: 0.0292 memory: 1684 loss: 1.1441 2023/04/03 02:52:52 - mmengine - INFO - Epoch(train) [73][4500/5005] lr: 1.8129e-05 eta: 3:03:15 time: 0.0975 data_time: 0.0182 memory: 1684 loss: 1.3300 2023/04/03 02:53:00 - mmengine - INFO - Epoch(train) [73][4600/5005] lr: 1.8129e-05 eta: 3:03:07 time: 0.0893 data_time: 0.0180 memory: 1684 loss: 1.1961 2023/04/03 02:53:03 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:53:09 - mmengine - INFO - Epoch(train) [73][4700/5005] lr: 1.8129e-05 eta: 3:02:59 time: 0.0798 data_time: 0.0179 memory: 1684 loss: 1.2834 2023/04/03 02:53:17 - mmengine - INFO - Epoch(train) [73][4800/5005] lr: 1.8129e-05 eta: 3:02:51 time: 0.0950 data_time: 0.0179 memory: 1684 loss: 1.1986 2023/04/03 02:53:25 - mmengine - INFO - Epoch(train) [73][4900/5005] lr: 1.8129e-05 eta: 3:02:43 time: 0.0783 data_time: 0.0180 memory: 1684 loss: 1.1966 2023/04/03 02:53:33 - mmengine - INFO - Epoch(train) [73][5000/5005] lr: 1.8129e-05 eta: 3:02:35 time: 0.0846 data_time: 0.0190 memory: 1684 loss: 1.3360 2023/04/03 02:53:34 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:53:34 - mmengine - INFO - Saving checkpoint at 73 epochs 2023/04/03 02:53:39 - mmengine - INFO - Epoch(val) [73][100/196] eta: 0:00:03 time: 0.0332 data_time: 0.0075 memory: 1684 2023/04/03 02:53:52 - mmengine - INFO - Epoch(val) [73][196/196] qat.accuracy/top1: 69.9400 qat.accuracy/top5: 89.2340data_time: 0.0199 time: 0.0431 2023/04/03 02:53:56 - mmengine - INFO - Epoch(val) [73][100/196] eta: 0:00:04 time: 0.0361 data_time: 0.0077 memory: 513 2023/04/03 02:54:10 - mmengine - INFO - Epoch(val) [73][196/196] qat.accuracy/top1: 69.9380 qat.accuracy/top5: 89.2200data_time: 0.0072 time: 0.0338 2023/04/03 02:54:13 - mmengine - INFO - Epoch(val) [73][100/196] eta: 0:00:02 time: 0.0244 data_time: 0.0132 memory: 470 2023/04/03 02:54:26 - mmengine - INFO - Epoch(val) [73][196/196] original.accuracy/top1: 69.8000 original.accuracy/top5: 89.2520data_time: 0.0268 time: 0.0372 2023/04/03 02:54:35 - mmengine - INFO - Epoch(train) [74][ 100/5005] lr: 1.6934e-05 eta: 3:02:27 time: 0.0845 data_time: 0.0186 memory: 1735 loss: 1.4052 2023/04/03 02:54:44 - mmengine - INFO - Epoch(train) [74][ 200/5005] lr: 1.6934e-05 eta: 3:02:19 time: 0.0937 data_time: 0.0180 memory: 1735 loss: 1.1743 2023/04/03 02:54:53 - mmengine - INFO - Epoch(train) [74][ 300/5005] lr: 1.6934e-05 eta: 3:02:11 time: 0.0791 data_time: 0.0182 memory: 1735 loss: 1.0221 2023/04/03 02:55:01 - mmengine - INFO - Epoch(train) [74][ 400/5005] lr: 1.6934e-05 eta: 3:02:03 time: 0.0791 data_time: 0.0179 memory: 1735 loss: 0.9177 2023/04/03 02:55:09 - mmengine - INFO - Epoch(train) [74][ 500/5005] lr: 1.6934e-05 eta: 3:01:55 time: 0.0787 data_time: 0.0177 memory: 1735 loss: 1.1296 2023/04/03 02:55:17 - mmengine - INFO - Epoch(train) [74][ 600/5005] lr: 1.6934e-05 eta: 3:01:46 time: 0.0788 data_time: 0.0178 memory: 1735 loss: 1.1091 2023/04/03 02:55:20 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:55:26 - mmengine - INFO - Epoch(train) [74][ 700/5005] lr: 1.6934e-05 eta: 3:01:38 time: 0.1052 data_time: 0.0181 memory: 1735 loss: 1.0178 2023/04/03 02:55:34 - mmengine - INFO - Epoch(train) [74][ 800/5005] lr: 1.6934e-05 eta: 3:01:30 time: 0.0799 data_time: 0.0180 memory: 1735 loss: 1.2137 2023/04/03 02:55:42 - mmengine - INFO - Epoch(train) [74][ 900/5005] lr: 1.6934e-05 eta: 3:01:22 time: 0.0796 data_time: 0.0179 memory: 1735 loss: 1.2785 2023/04/03 02:55:51 - mmengine - INFO - Epoch(train) [74][1000/5005] lr: 1.6934e-05 eta: 3:01:14 time: 0.0939 data_time: 0.0319 memory: 1735 loss: 0.9719 2023/04/03 02:55:59 - mmengine - INFO - Epoch(train) [74][1100/5005] lr: 1.6934e-05 eta: 3:01:06 time: 0.0801 data_time: 0.0171 memory: 1684 loss: 1.3014 2023/04/03 02:56:08 - mmengine - INFO - Epoch(train) [74][1200/5005] lr: 1.6934e-05 eta: 3:00:58 time: 0.0859 data_time: 0.0181 memory: 1684 loss: 1.0700 2023/04/03 02:56:16 - mmengine - INFO - Epoch(train) [74][1300/5005] lr: 1.6934e-05 eta: 3:00:50 time: 0.0814 data_time: 0.0180 memory: 1684 loss: 1.1932 2023/04/03 02:56:25 - mmengine - INFO - Epoch(train) [74][1400/5005] lr: 1.6934e-05 eta: 3:00:42 time: 0.0820 data_time: 0.0200 memory: 1684 loss: 1.3118 2023/04/03 02:56:33 - mmengine - INFO - Epoch(train) [74][1500/5005] lr: 1.6934e-05 eta: 3:00:34 time: 0.0941 data_time: 0.0179 memory: 1684 loss: 1.2010 2023/04/03 02:56:41 - mmengine - INFO - Epoch(train) [74][1600/5005] lr: 1.6934e-05 eta: 3:00:26 time: 0.0787 data_time: 0.0181 memory: 1684 loss: 1.3130 2023/04/03 02:56:44 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:56:49 - mmengine - INFO - Epoch(train) [74][1700/5005] lr: 1.6934e-05 eta: 3:00:18 time: 0.0793 data_time: 0.0179 memory: 1684 loss: 1.2937 2023/04/03 02:56:58 - mmengine - INFO - Epoch(train) [74][1800/5005] lr: 1.6934e-05 eta: 3:00:10 time: 0.0797 data_time: 0.0177 memory: 1684 loss: 1.2993 2023/04/03 02:57:06 - mmengine - INFO - Epoch(train) [74][1900/5005] lr: 1.6934e-05 eta: 3:00:02 time: 0.0890 data_time: 0.0178 memory: 1684 loss: 1.3427 2023/04/03 02:57:14 - mmengine - INFO - Epoch(train) [74][2000/5005] lr: 1.6934e-05 eta: 2:59:54 time: 0.0816 data_time: 0.0180 memory: 1684 loss: 1.1543 2023/04/03 02:57:23 - mmengine - INFO - Epoch(train) [74][2100/5005] lr: 1.6934e-05 eta: 2:59:46 time: 0.0786 data_time: 0.0185 memory: 1684 loss: 1.3818 2023/04/03 02:57:31 - mmengine - INFO - Epoch(train) [74][2200/5005] lr: 1.6934e-05 eta: 2:59:38 time: 0.0865 data_time: 0.0179 memory: 1684 loss: 1.2822 2023/04/03 02:57:39 - mmengine - INFO - Epoch(train) [74][2300/5005] lr: 1.6934e-05 eta: 2:59:29 time: 0.0890 data_time: 0.0179 memory: 1684 loss: 1.1908 2023/04/03 02:57:47 - mmengine - INFO - Epoch(train) [74][2400/5005] lr: 1.6934e-05 eta: 2:59:21 time: 0.0983 data_time: 0.0179 memory: 1684 loss: 0.9775 2023/04/03 02:57:55 - mmengine - INFO - Epoch(train) [74][2500/5005] lr: 1.6934e-05 eta: 2:59:13 time: 0.0768 data_time: 0.0181 memory: 1684 loss: 1.3212 2023/04/03 02:58:03 - mmengine - INFO - Epoch(train) [74][2600/5005] lr: 1.6934e-05 eta: 2:59:05 time: 0.0790 data_time: 0.0177 memory: 1684 loss: 1.2554 2023/04/03 02:58:06 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:58:11 - mmengine - INFO - Epoch(train) [74][2700/5005] lr: 1.6934e-05 eta: 2:58:57 time: 0.0973 data_time: 0.0260 memory: 1684 loss: 1.1432 2023/04/03 02:58:19 - mmengine - INFO - Epoch(train) [74][2800/5005] lr: 1.6934e-05 eta: 2:58:49 time: 0.0782 data_time: 0.0179 memory: 1684 loss: 1.1947 2023/04/03 02:58:27 - mmengine - INFO - Epoch(train) [74][2900/5005] lr: 1.6934e-05 eta: 2:58:40 time: 0.0796 data_time: 0.0178 memory: 1684 loss: 1.1704 2023/04/03 02:58:36 - mmengine - INFO - Epoch(train) [74][3000/5005] lr: 1.6934e-05 eta: 2:58:32 time: 0.0798 data_time: 0.0190 memory: 1684 loss: 1.1663 2023/04/03 02:58:44 - mmengine - INFO - Epoch(train) [74][3100/5005] lr: 1.6934e-05 eta: 2:58:24 time: 0.0789 data_time: 0.0177 memory: 1684 loss: 1.3630 2023/04/03 02:58:52 - mmengine - INFO - Epoch(train) [74][3200/5005] lr: 1.6934e-05 eta: 2:58:16 time: 0.0759 data_time: 0.0180 memory: 1684 loss: 1.1657 2023/04/03 02:59:00 - mmengine - INFO - Epoch(train) [74][3300/5005] lr: 1.6934e-05 eta: 2:58:08 time: 0.0770 data_time: 0.0178 memory: 1684 loss: 1.3198 2023/04/03 02:59:08 - mmengine - INFO - Epoch(train) [74][3400/5005] lr: 1.6934e-05 eta: 2:58:00 time: 0.0794 data_time: 0.0178 memory: 1684 loss: 1.3667 2023/04/03 02:59:16 - mmengine - INFO - Epoch(train) [74][3500/5005] lr: 1.6934e-05 eta: 2:57:52 time: 0.0802 data_time: 0.0180 memory: 1684 loss: 1.3054 2023/04/03 02:59:25 - mmengine - INFO - Epoch(train) [74][3600/5005] lr: 1.6934e-05 eta: 2:57:44 time: 0.0773 data_time: 0.0177 memory: 1684 loss: 1.2026 2023/04/03 02:59:28 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 02:59:33 - mmengine - INFO - Epoch(train) [74][3700/5005] lr: 1.6934e-05 eta: 2:57:36 time: 0.0897 data_time: 0.0176 memory: 1684 loss: 1.3414 2023/04/03 02:59:41 - mmengine - INFO - Epoch(train) [74][3800/5005] lr: 1.6934e-05 eta: 2:57:27 time: 0.0789 data_time: 0.0178 memory: 1684 loss: 1.2931 2023/04/03 02:59:49 - mmengine - INFO - Epoch(train) [74][3900/5005] lr: 1.6934e-05 eta: 2:57:19 time: 0.0790 data_time: 0.0178 memory: 1684 loss: 1.2241 2023/04/03 02:59:58 - mmengine - INFO - Epoch(train) [74][4000/5005] lr: 1.6934e-05 eta: 2:57:11 time: 0.0888 data_time: 0.0185 memory: 1684 loss: 1.1670 2023/04/03 03:00:06 - mmengine - INFO - Epoch(train) [74][4100/5005] lr: 1.6934e-05 eta: 2:57:03 time: 0.0787 data_time: 0.0182 memory: 1684 loss: 1.2887 2023/04/03 03:00:14 - mmengine - INFO - Epoch(train) [74][4200/5005] lr: 1.6934e-05 eta: 2:56:55 time: 0.0807 data_time: 0.0191 memory: 1684 loss: 1.3709 2023/04/03 03:00:22 - mmengine - INFO - Epoch(train) [74][4300/5005] lr: 1.6934e-05 eta: 2:56:47 time: 0.0797 data_time: 0.0176 memory: 1684 loss: 1.0255 2023/04/03 03:00:30 - mmengine - INFO - Epoch(train) [74][4400/5005] lr: 1.6934e-05 eta: 2:56:39 time: 0.0804 data_time: 0.0179 memory: 1684 loss: 1.1121 2023/04/03 03:00:39 - mmengine - INFO - Epoch(train) [74][4500/5005] lr: 1.6934e-05 eta: 2:56:31 time: 0.0764 data_time: 0.0172 memory: 1684 loss: 1.2730 2023/04/03 03:00:47 - mmengine - INFO - Epoch(train) [74][4600/5005] lr: 1.6934e-05 eta: 2:56:23 time: 0.0791 data_time: 0.0180 memory: 1684 loss: 1.2672 2023/04/03 03:00:50 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:00:55 - mmengine - INFO - Epoch(train) [74][4700/5005] lr: 1.6934e-05 eta: 2:56:15 time: 0.0896 data_time: 0.0176 memory: 1684 loss: 1.1394 2023/04/03 03:01:03 - mmengine - INFO - Epoch(train) [74][4800/5005] lr: 1.6934e-05 eta: 2:56:06 time: 0.0803 data_time: 0.0178 memory: 1684 loss: 1.3152 2023/04/03 03:01:11 - mmengine - INFO - Epoch(train) [74][4900/5005] lr: 1.6934e-05 eta: 2:55:58 time: 0.0810 data_time: 0.0184 memory: 1684 loss: 1.2464 2023/04/03 03:01:20 - mmengine - INFO - Epoch(train) [74][5000/5005] lr: 1.6934e-05 eta: 2:55:50 time: 0.0775 data_time: 0.0181 memory: 1684 loss: 1.1924 2023/04/03 03:01:20 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:01:20 - mmengine - INFO - Saving checkpoint at 74 epochs 2023/04/03 03:01:26 - mmengine - INFO - Epoch(val) [74][100/196] eta: 0:00:03 time: 0.0348 data_time: 0.0088 memory: 1684 2023/04/03 03:01:38 - mmengine - INFO - Epoch(val) [74][196/196] qat.accuracy/top1: 69.9160 qat.accuracy/top5: 89.2360data_time: 0.0093 time: 0.0327 2023/04/03 03:01:43 - mmengine - INFO - Epoch(val) [74][100/196] eta: 0:00:03 time: 0.0369 data_time: 0.0087 memory: 513 2023/04/03 03:01:56 - mmengine - INFO - Epoch(val) [74][196/196] qat.accuracy/top1: 69.9020 qat.accuracy/top5: 89.1540data_time: 0.0071 time: 0.0332 2023/04/03 03:01:59 - mmengine - INFO - Epoch(val) [74][100/196] eta: 0:00:02 time: 0.0241 data_time: 0.0127 memory: 470 2023/04/03 03:02:11 - mmengine - INFO - Epoch(val) [74][196/196] original.accuracy/top1: 69.7900 original.accuracy/top5: 89.2040data_time: 0.0407 time: 0.0505 2023/04/03 03:02:21 - mmengine - INFO - Epoch(train) [75][ 100/5005] lr: 1.5773e-05 eta: 2:55:42 time: 0.0831 data_time: 0.0203 memory: 1735 loss: 1.1024 2023/04/03 03:02:29 - mmengine - INFO - Epoch(train) [75][ 200/5005] lr: 1.5773e-05 eta: 2:55:34 time: 0.0768 data_time: 0.0178 memory: 1735 loss: 1.2248 2023/04/03 03:02:38 - mmengine - INFO - Epoch(train) [75][ 300/5005] lr: 1.5773e-05 eta: 2:55:26 time: 0.0936 data_time: 0.0188 memory: 1735 loss: 1.3611 2023/04/03 03:02:47 - mmengine - INFO - Epoch(train) [75][ 400/5005] lr: 1.5773e-05 eta: 2:55:18 time: 0.0881 data_time: 0.0179 memory: 1735 loss: 0.9271 2023/04/03 03:02:55 - mmengine - INFO - Epoch(train) [75][ 500/5005] lr: 1.5773e-05 eta: 2:55:10 time: 0.0800 data_time: 0.0179 memory: 1735 loss: 1.1746 2023/04/03 03:03:03 - mmengine - INFO - Epoch(train) [75][ 600/5005] lr: 1.5773e-05 eta: 2:55:02 time: 0.0763 data_time: 0.0183 memory: 1735 loss: 1.2385 2023/04/03 03:03:06 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:03:11 - mmengine - INFO - Epoch(train) [75][ 700/5005] lr: 1.5773e-05 eta: 2:54:54 time: 0.0773 data_time: 0.0180 memory: 1735 loss: 1.3712 2023/04/03 03:03:20 - mmengine - INFO - Epoch(train) [75][ 800/5005] lr: 1.5773e-05 eta: 2:54:46 time: 0.0791 data_time: 0.0180 memory: 1735 loss: 1.3074 2023/04/03 03:03:28 - mmengine - INFO - Epoch(train) [75][ 900/5005] lr: 1.5773e-05 eta: 2:54:38 time: 0.1046 data_time: 0.0176 memory: 1735 loss: 1.1229 2023/04/03 03:03:36 - mmengine - INFO - Epoch(train) [75][1000/5005] lr: 1.5773e-05 eta: 2:54:30 time: 0.0802 data_time: 0.0178 memory: 1735 loss: 1.2624 2023/04/03 03:03:45 - mmengine - INFO - Epoch(train) [75][1100/5005] lr: 1.5773e-05 eta: 2:54:22 time: 0.0792 data_time: 0.0200 memory: 1684 loss: 1.3136 2023/04/03 03:03:53 - mmengine - INFO - Epoch(train) [75][1200/5005] lr: 1.5773e-05 eta: 2:54:13 time: 0.0816 data_time: 0.0188 memory: 1684 loss: 1.1440 2023/04/03 03:04:01 - mmengine - INFO - Epoch(train) [75][1300/5005] lr: 1.5773e-05 eta: 2:54:05 time: 0.0774 data_time: 0.0181 memory: 1684 loss: 1.0721 2023/04/03 03:04:09 - mmengine - INFO - Epoch(train) [75][1400/5005] lr: 1.5773e-05 eta: 2:53:57 time: 0.0893 data_time: 0.0183 memory: 1684 loss: 1.2838 2023/04/03 03:04:18 - mmengine - INFO - Epoch(train) [75][1500/5005] lr: 1.5773e-05 eta: 2:53:49 time: 0.0803 data_time: 0.0173 memory: 1684 loss: 1.1011 2023/04/03 03:04:27 - mmengine - INFO - Epoch(train) [75][1600/5005] lr: 1.5773e-05 eta: 2:53:41 time: 0.0828 data_time: 0.0177 memory: 1684 loss: 1.2562 2023/04/03 03:04:29 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:04:35 - mmengine - INFO - Epoch(train) [75][1700/5005] lr: 1.5773e-05 eta: 2:53:33 time: 0.0913 data_time: 0.0178 memory: 1684 loss: 1.2057 2023/04/03 03:04:44 - mmengine - INFO - Epoch(train) [75][1800/5005] lr: 1.5773e-05 eta: 2:53:25 time: 0.0794 data_time: 0.0178 memory: 1684 loss: 1.3470 2023/04/03 03:04:51 - mmengine - INFO - Epoch(train) [75][1900/5005] lr: 1.5773e-05 eta: 2:53:17 time: 0.0768 data_time: 0.0179 memory: 1684 loss: 1.0206 2023/04/03 03:05:00 - mmengine - INFO - Epoch(train) [75][2000/5005] lr: 1.5773e-05 eta: 2:53:09 time: 0.0781 data_time: 0.0179 memory: 1684 loss: 1.1267 2023/04/03 03:05:08 - mmengine - INFO - Epoch(train) [75][2100/5005] lr: 1.5773e-05 eta: 2:53:01 time: 0.0746 data_time: 0.0179 memory: 1684 loss: 1.1858 2023/04/03 03:05:16 - mmengine - INFO - Epoch(train) [75][2200/5005] lr: 1.5773e-05 eta: 2:52:53 time: 0.0776 data_time: 0.0182 memory: 1684 loss: 1.1210 2023/04/03 03:05:24 - mmengine - INFO - Epoch(train) [75][2300/5005] lr: 1.5773e-05 eta: 2:52:45 time: 0.0774 data_time: 0.0178 memory: 1684 loss: 1.1301 2023/04/03 03:05:32 - mmengine - INFO - Epoch(train) [75][2400/5005] lr: 1.5773e-05 eta: 2:52:36 time: 0.0784 data_time: 0.0203 memory: 1684 loss: 1.1409 2023/04/03 03:05:40 - mmengine - INFO - Epoch(train) [75][2500/5005] lr: 1.5773e-05 eta: 2:52:28 time: 0.0776 data_time: 0.0189 memory: 1684 loss: 1.1409 2023/04/03 03:05:48 - mmengine - INFO - Epoch(train) [75][2600/5005] lr: 1.5773e-05 eta: 2:52:20 time: 0.0782 data_time: 0.0185 memory: 1684 loss: 1.2799 2023/04/03 03:05:51 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:05:57 - mmengine - INFO - Epoch(train) [75][2700/5005] lr: 1.5773e-05 eta: 2:52:12 time: 0.0879 data_time: 0.0178 memory: 1684 loss: 1.2039 2023/04/03 03:06:05 - mmengine - INFO - Epoch(train) [75][2800/5005] lr: 1.5773e-05 eta: 2:52:04 time: 0.0800 data_time: 0.0178 memory: 1684 loss: 1.2370 2023/04/03 03:06:14 - mmengine - INFO - Epoch(train) [75][2900/5005] lr: 1.5773e-05 eta: 2:51:56 time: 0.0806 data_time: 0.0179 memory: 1684 loss: 1.2358 2023/04/03 03:06:22 - mmengine - INFO - Epoch(train) [75][3000/5005] lr: 1.5773e-05 eta: 2:51:48 time: 0.0819 data_time: 0.0179 memory: 1684 loss: 1.1683 2023/04/03 03:06:30 - mmengine - INFO - Epoch(train) [75][3100/5005] lr: 1.5773e-05 eta: 2:51:40 time: 0.0816 data_time: 0.0182 memory: 1684 loss: 1.1515 2023/04/03 03:06:39 - mmengine - INFO - Epoch(train) [75][3200/5005] lr: 1.5773e-05 eta: 2:51:32 time: 0.0890 data_time: 0.0287 memory: 1684 loss: 1.1502 2023/04/03 03:06:47 - mmengine - INFO - Epoch(train) [75][3300/5005] lr: 1.5773e-05 eta: 2:51:24 time: 0.0771 data_time: 0.0180 memory: 1684 loss: 1.2443 2023/04/03 03:06:55 - mmengine - INFO - Epoch(train) [75][3400/5005] lr: 1.5773e-05 eta: 2:51:16 time: 0.0767 data_time: 0.0179 memory: 1684 loss: 1.3066 2023/04/03 03:07:03 - mmengine - INFO - Epoch(train) [75][3500/5005] lr: 1.5773e-05 eta: 2:51:07 time: 0.0781 data_time: 0.0179 memory: 1684 loss: 1.3151 2023/04/03 03:07:11 - mmengine - INFO - Epoch(train) [75][3600/5005] lr: 1.5773e-05 eta: 2:50:59 time: 0.0799 data_time: 0.0177 memory: 1684 loss: 1.2632 2023/04/03 03:07:14 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:07:20 - mmengine - INFO - Epoch(train) [75][3700/5005] lr: 1.5773e-05 eta: 2:50:51 time: 0.0791 data_time: 0.0170 memory: 1684 loss: 1.2082 2023/04/03 03:07:28 - mmengine - INFO - Epoch(train) [75][3800/5005] lr: 1.5773e-05 eta: 2:50:43 time: 0.0875 data_time: 0.0179 memory: 1684 loss: 1.1363 2023/04/03 03:07:37 - mmengine - INFO - Epoch(train) [75][3900/5005] lr: 1.5773e-05 eta: 2:50:35 time: 0.0792 data_time: 0.0182 memory: 1684 loss: 1.0863 2023/04/03 03:07:45 - mmengine - INFO - Epoch(train) [75][4000/5005] lr: 1.5773e-05 eta: 2:50:27 time: 0.0769 data_time: 0.0184 memory: 1684 loss: 1.3801 2023/04/03 03:07:53 - mmengine - INFO - Epoch(train) [75][4100/5005] lr: 1.5773e-05 eta: 2:50:19 time: 0.0774 data_time: 0.0179 memory: 1684 loss: 1.1677 2023/04/03 03:08:01 - mmengine - INFO - Epoch(train) [75][4200/5005] lr: 1.5773e-05 eta: 2:50:11 time: 0.0797 data_time: 0.0179 memory: 1684 loss: 1.3613 2023/04/03 03:08:10 - mmengine - INFO - Epoch(train) [75][4300/5005] lr: 1.5773e-05 eta: 2:50:03 time: 0.0906 data_time: 0.0187 memory: 1684 loss: 1.0035 2023/04/03 03:08:19 - mmengine - INFO - Epoch(train) [75][4400/5005] lr: 1.5773e-05 eta: 2:49:55 time: 0.0805 data_time: 0.0183 memory: 1684 loss: 1.1280 2023/04/03 03:08:27 - mmengine - INFO - Epoch(train) [75][4500/5005] lr: 1.5773e-05 eta: 2:49:47 time: 0.0773 data_time: 0.0181 memory: 1684 loss: 1.1431 2023/04/03 03:08:35 - mmengine - INFO - Epoch(train) [75][4600/5005] lr: 1.5773e-05 eta: 2:49:39 time: 0.0799 data_time: 0.0180 memory: 1684 loss: 1.1661 2023/04/03 03:08:38 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:08:44 - mmengine - INFO - Epoch(train) [75][4700/5005] lr: 1.5773e-05 eta: 2:49:31 time: 0.0801 data_time: 0.0178 memory: 1684 loss: 1.2826 2023/04/03 03:08:52 - mmengine - INFO - Epoch(train) [75][4800/5005] lr: 1.5773e-05 eta: 2:49:23 time: 0.0769 data_time: 0.0181 memory: 1684 loss: 1.2758 2023/04/03 03:09:00 - mmengine - INFO - Epoch(train) [75][4900/5005] lr: 1.5773e-05 eta: 2:49:15 time: 0.0782 data_time: 0.0181 memory: 1684 loss: 1.1598 2023/04/03 03:09:09 - mmengine - INFO - Epoch(train) [75][5000/5005] lr: 1.5773e-05 eta: 2:49:07 time: 0.0778 data_time: 0.0190 memory: 1684 loss: 1.3137 2023/04/03 03:09:10 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:09:10 - mmengine - INFO - Saving checkpoint at 75 epochs 2023/04/03 03:09:16 - mmengine - INFO - Epoch(val) [75][100/196] eta: 0:00:04 time: 0.0341 data_time: 0.0079 memory: 1684 2023/04/03 03:09:28 - mmengine - INFO - Epoch(val) [75][196/196] qat.accuracy/top1: 69.9000 qat.accuracy/top5: 89.1940data_time: 0.0066 time: 0.0301 2023/04/03 03:09:33 - mmengine - INFO - Epoch(val) [75][100/196] eta: 0:00:04 time: 0.0367 data_time: 0.0082 memory: 513 2023/04/03 03:09:46 - mmengine - INFO - Epoch(val) [75][196/196] qat.accuracy/top1: 69.9400 qat.accuracy/top5: 89.2340data_time: 0.0070 time: 0.0325 2023/04/03 03:09:49 - mmengine - INFO - Epoch(val) [75][100/196] eta: 0:00:02 time: 0.0235 data_time: 0.0121 memory: 470 2023/04/03 03:10:03 - mmengine - INFO - Epoch(val) [75][196/196] original.accuracy/top1: 69.8320 original.accuracy/top5: 89.2800data_time: 0.0298 time: 0.0413 2023/04/03 03:10:13 - mmengine - INFO - Epoch(train) [76][ 100/5005] lr: 1.4645e-05 eta: 2:48:59 time: 0.0818 data_time: 0.0199 memory: 1735 loss: 1.0374 2023/04/03 03:10:22 - mmengine - INFO - Epoch(train) [76][ 200/5005] lr: 1.4645e-05 eta: 2:48:51 time: 0.0807 data_time: 0.0185 memory: 1735 loss: 1.1597 2023/04/03 03:10:30 - mmengine - INFO - Epoch(train) [76][ 300/5005] lr: 1.4645e-05 eta: 2:48:43 time: 0.0824 data_time: 0.0181 memory: 1735 loss: 1.0086 2023/04/03 03:10:38 - mmengine - INFO - Epoch(train) [76][ 400/5005] lr: 1.4645e-05 eta: 2:48:35 time: 0.0823 data_time: 0.0183 memory: 1735 loss: 1.1260 2023/04/03 03:10:47 - mmengine - INFO - Epoch(train) [76][ 500/5005] lr: 1.4645e-05 eta: 2:48:27 time: 0.0941 data_time: 0.0179 memory: 1735 loss: 1.1374 2023/04/03 03:10:55 - mmengine - INFO - Epoch(train) [76][ 600/5005] lr: 1.4645e-05 eta: 2:48:19 time: 0.0806 data_time: 0.0178 memory: 1735 loss: 1.2915 2023/04/03 03:10:57 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:11:04 - mmengine - INFO - Epoch(train) [76][ 700/5005] lr: 1.4645e-05 eta: 2:48:11 time: 0.0784 data_time: 0.0185 memory: 1735 loss: 1.2288 2023/04/03 03:11:12 - mmengine - INFO - Epoch(train) [76][ 800/5005] lr: 1.4645e-05 eta: 2:48:03 time: 0.0787 data_time: 0.0180 memory: 1735 loss: 1.1494 2023/04/03 03:11:21 - mmengine - INFO - Epoch(train) [76][ 900/5005] lr: 1.4645e-05 eta: 2:47:55 time: 0.0936 data_time: 0.0181 memory: 1735 loss: 1.2693 2023/04/03 03:11:29 - mmengine - INFO - Epoch(train) [76][1000/5005] lr: 1.4645e-05 eta: 2:47:47 time: 0.0767 data_time: 0.0182 memory: 1735 loss: 1.4522 2023/04/03 03:11:37 - mmengine - INFO - Epoch(train) [76][1100/5005] lr: 1.4645e-05 eta: 2:47:38 time: 0.0797 data_time: 0.0177 memory: 1684 loss: 1.3323 2023/04/03 03:11:45 - mmengine - INFO - Epoch(train) [76][1200/5005] lr: 1.4645e-05 eta: 2:47:30 time: 0.0816 data_time: 0.0180 memory: 1684 loss: 1.2408 2023/04/03 03:11:54 - mmengine - INFO - Epoch(train) [76][1300/5005] lr: 1.4645e-05 eta: 2:47:22 time: 0.0797 data_time: 0.0191 memory: 1684 loss: 1.1944 2023/04/03 03:12:02 - mmengine - INFO - Epoch(train) [76][1400/5005] lr: 1.4645e-05 eta: 2:47:14 time: 0.0806 data_time: 0.0182 memory: 1684 loss: 1.0722 2023/04/03 03:12:10 - mmengine - INFO - Epoch(train) [76][1500/5005] lr: 1.4645e-05 eta: 2:47:06 time: 0.0897 data_time: 0.0180 memory: 1684 loss: 1.2066 2023/04/03 03:12:19 - mmengine - INFO - Epoch(train) [76][1600/5005] lr: 1.4645e-05 eta: 2:46:58 time: 0.0831 data_time: 0.0180 memory: 1684 loss: 1.3687 2023/04/03 03:12:21 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:12:27 - mmengine - INFO - Epoch(train) [76][1700/5005] lr: 1.4645e-05 eta: 2:46:50 time: 0.0777 data_time: 0.0180 memory: 1684 loss: 1.1484 2023/04/03 03:12:35 - mmengine - INFO - Epoch(train) [76][1800/5005] lr: 1.4645e-05 eta: 2:46:42 time: 0.0789 data_time: 0.0180 memory: 1684 loss: 1.1345 2023/04/03 03:12:44 - mmengine - INFO - Epoch(train) [76][1900/5005] lr: 1.4645e-05 eta: 2:46:34 time: 0.0909 data_time: 0.0187 memory: 1684 loss: 1.1776 2023/04/03 03:12:52 - mmengine - INFO - Epoch(train) [76][2000/5005] lr: 1.4645e-05 eta: 2:46:26 time: 0.0798 data_time: 0.0178 memory: 1684 loss: 1.3234 2023/04/03 03:13:00 - mmengine - INFO - Epoch(train) [76][2100/5005] lr: 1.4645e-05 eta: 2:46:18 time: 0.0785 data_time: 0.0191 memory: 1684 loss: 1.1898 2023/04/03 03:13:08 - mmengine - INFO - Epoch(train) [76][2200/5005] lr: 1.4645e-05 eta: 2:46:09 time: 0.0785 data_time: 0.0185 memory: 1684 loss: 1.1627 2023/04/03 03:13:17 - mmengine - INFO - Epoch(train) [76][2300/5005] lr: 1.4645e-05 eta: 2:46:01 time: 0.0960 data_time: 0.0192 memory: 1684 loss: 1.1001 2023/04/03 03:13:25 - mmengine - INFO - Epoch(train) [76][2400/5005] lr: 1.4645e-05 eta: 2:45:53 time: 0.0771 data_time: 0.0183 memory: 1684 loss: 1.2342 2023/04/03 03:13:33 - mmengine - INFO - Epoch(train) [76][2500/5005] lr: 1.4645e-05 eta: 2:45:45 time: 0.0852 data_time: 0.0206 memory: 1684 loss: 1.1643 2023/04/03 03:13:41 - mmengine - INFO - Epoch(train) [76][2600/5005] lr: 1.4645e-05 eta: 2:45:37 time: 0.0871 data_time: 0.0203 memory: 1684 loss: 1.3225 2023/04/03 03:13:43 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:13:50 - mmengine - INFO - Epoch(train) [76][2700/5005] lr: 1.4645e-05 eta: 2:45:29 time: 0.0793 data_time: 0.0196 memory: 1684 loss: 1.1477 2023/04/03 03:13:58 - mmengine - INFO - Epoch(train) [76][2800/5005] lr: 1.4645e-05 eta: 2:45:21 time: 0.0843 data_time: 0.0184 memory: 1684 loss: 1.1794 2023/04/03 03:14:07 - mmengine - INFO - Epoch(train) [76][2900/5005] lr: 1.4645e-05 eta: 2:45:13 time: 0.0819 data_time: 0.0185 memory: 1684 loss: 0.9796 2023/04/03 03:14:15 - mmengine - INFO - Epoch(train) [76][3000/5005] lr: 1.4645e-05 eta: 2:45:05 time: 0.0791 data_time: 0.0181 memory: 1684 loss: 1.3630 2023/04/03 03:14:23 - mmengine - INFO - Epoch(train) [76][3100/5005] lr: 1.4645e-05 eta: 2:44:57 time: 0.0782 data_time: 0.0184 memory: 1684 loss: 1.2773 2023/04/03 03:14:32 - mmengine - INFO - Epoch(train) [76][3200/5005] lr: 1.4645e-05 eta: 2:44:49 time: 0.1001 data_time: 0.0186 memory: 1684 loss: 1.3464 2023/04/03 03:14:40 - mmengine - INFO - Epoch(train) [76][3300/5005] lr: 1.4645e-05 eta: 2:44:41 time: 0.0786 data_time: 0.0183 memory: 1684 loss: 1.0578 2023/04/03 03:14:48 - mmengine - INFO - Epoch(train) [76][3400/5005] lr: 1.4645e-05 eta: 2:44:33 time: 0.0876 data_time: 0.0182 memory: 1684 loss: 1.2434 2023/04/03 03:14:56 - mmengine - INFO - Epoch(train) [76][3500/5005] lr: 1.4645e-05 eta: 2:44:24 time: 0.0775 data_time: 0.0192 memory: 1684 loss: 1.2902 2023/04/03 03:15:05 - mmengine - INFO - Epoch(train) [76][3600/5005] lr: 1.4645e-05 eta: 2:44:16 time: 0.0795 data_time: 0.0189 memory: 1684 loss: 1.1615 2023/04/03 03:15:07 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:15:13 - mmengine - INFO - Epoch(train) [76][3700/5005] lr: 1.4645e-05 eta: 2:44:08 time: 0.0788 data_time: 0.0189 memory: 1684 loss: 1.1581 2023/04/03 03:15:21 - mmengine - INFO - Epoch(train) [76][3800/5005] lr: 1.4645e-05 eta: 2:44:00 time: 0.0799 data_time: 0.0186 memory: 1684 loss: 1.1527 2023/04/03 03:15:30 - mmengine - INFO - Epoch(train) [76][3900/5005] lr: 1.4645e-05 eta: 2:43:52 time: 0.0900 data_time: 0.0186 memory: 1684 loss: 1.1894 2023/04/03 03:15:38 - mmengine - INFO - Epoch(train) [76][4000/5005] lr: 1.4645e-05 eta: 2:43:44 time: 0.0778 data_time: 0.0193 memory: 1684 loss: 1.4244 2023/04/03 03:15:46 - mmengine - INFO - Epoch(train) [76][4100/5005] lr: 1.4645e-05 eta: 2:43:36 time: 0.0880 data_time: 0.0186 memory: 1684 loss: 1.2582 2023/04/03 03:15:54 - mmengine - INFO - Epoch(train) [76][4200/5005] lr: 1.4645e-05 eta: 2:43:28 time: 0.0955 data_time: 0.0187 memory: 1684 loss: 1.1795 2023/04/03 03:16:02 - mmengine - INFO - Epoch(train) [76][4300/5005] lr: 1.4645e-05 eta: 2:43:20 time: 0.0772 data_time: 0.0187 memory: 1684 loss: 1.1131 2023/04/03 03:16:11 - mmengine - INFO - Epoch(train) [76][4400/5005] lr: 1.4645e-05 eta: 2:43:12 time: 0.0816 data_time: 0.0182 memory: 1684 loss: 1.1323 2023/04/03 03:16:19 - mmengine - INFO - Epoch(train) [76][4500/5005] lr: 1.4645e-05 eta: 2:43:03 time: 0.0802 data_time: 0.0188 memory: 1684 loss: 1.3146 2023/04/03 03:16:27 - mmengine - INFO - Epoch(train) [76][4600/5005] lr: 1.4645e-05 eta: 2:42:55 time: 0.0762 data_time: 0.0181 memory: 1684 loss: 1.1338 2023/04/03 03:16:29 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:16:35 - mmengine - INFO - Epoch(train) [76][4700/5005] lr: 1.4645e-05 eta: 2:42:47 time: 0.0793 data_time: 0.0186 memory: 1684 loss: 1.1677 2023/04/03 03:16:43 - mmengine - INFO - Epoch(train) [76][4800/5005] lr: 1.4645e-05 eta: 2:42:39 time: 0.0788 data_time: 0.0193 memory: 1684 loss: 1.2997 2023/04/03 03:16:52 - mmengine - INFO - Epoch(train) [76][4900/5005] lr: 1.4645e-05 eta: 2:42:31 time: 0.0812 data_time: 0.0198 memory: 1684 loss: 1.0520 2023/04/03 03:17:00 - mmengine - INFO - Epoch(train) [76][5000/5005] lr: 1.4645e-05 eta: 2:42:23 time: 0.0789 data_time: 0.0197 memory: 1684 loss: 1.2023 2023/04/03 03:17:00 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:17:00 - mmengine - INFO - Saving checkpoint at 76 epochs 2023/04/03 03:17:06 - mmengine - INFO - Epoch(val) [76][100/196] eta: 0:00:04 time: 0.0380 data_time: 0.0119 memory: 1684 2023/04/03 03:17:19 - mmengine - INFO - Epoch(val) [76][196/196] qat.accuracy/top1: 69.8880 qat.accuracy/top5: 89.2260data_time: 0.0125 time: 0.0364 2023/04/03 03:17:23 - mmengine - INFO - Epoch(val) [76][100/196] eta: 0:00:03 time: 0.0367 data_time: 0.0083 memory: 513 2023/04/03 03:17:38 - mmengine - INFO - Epoch(val) [76][196/196] qat.accuracy/top1: 69.8840 qat.accuracy/top5: 89.1940data_time: 0.0072 time: 0.0341 2023/04/03 03:17:41 - mmengine - INFO - Epoch(val) [76][100/196] eta: 0:00:02 time: 0.0246 data_time: 0.0134 memory: 470 2023/04/03 03:17:53 - mmengine - INFO - Epoch(val) [76][196/196] original.accuracy/top1: 69.7860 original.accuracy/top5: 89.2640data_time: 0.0302 time: 0.0411 2023/04/03 03:18:03 - mmengine - INFO - Epoch(train) [77][ 100/5005] lr: 1.3552e-05 eta: 2:42:15 time: 0.0814 data_time: 0.0180 memory: 1735 loss: 1.2874 2023/04/03 03:18:11 - mmengine - INFO - Epoch(train) [77][ 200/5005] lr: 1.3552e-05 eta: 2:42:07 time: 0.0825 data_time: 0.0176 memory: 1735 loss: 1.0779 2023/04/03 03:18:20 - mmengine - INFO - Epoch(train) [77][ 300/5005] lr: 1.3552e-05 eta: 2:41:59 time: 0.0911 data_time: 0.0177 memory: 1735 loss: 1.1581 2023/04/03 03:18:29 - mmengine - INFO - Epoch(train) [77][ 400/5005] lr: 1.3552e-05 eta: 2:41:51 time: 0.0842 data_time: 0.0212 memory: 1735 loss: 1.2604 2023/04/03 03:18:37 - mmengine - INFO - Epoch(train) [77][ 500/5005] lr: 1.3552e-05 eta: 2:41:43 time: 0.0785 data_time: 0.0178 memory: 1735 loss: 1.2172 2023/04/03 03:18:46 - mmengine - INFO - Epoch(train) [77][ 600/5005] lr: 1.3552e-05 eta: 2:41:35 time: 0.0972 data_time: 0.0178 memory: 1735 loss: 1.1984 2023/04/03 03:18:47 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:18:54 - mmengine - INFO - Epoch(train) [77][ 700/5005] lr: 1.3552e-05 eta: 2:41:27 time: 0.0783 data_time: 0.0181 memory: 1735 loss: 1.4126 2023/04/03 03:19:02 - mmengine - INFO - Epoch(train) [77][ 800/5005] lr: 1.3552e-05 eta: 2:41:18 time: 0.0790 data_time: 0.0178 memory: 1684 loss: 1.0779 2023/04/03 03:19:10 - mmengine - INFO - Epoch(train) [77][ 900/5005] lr: 1.3552e-05 eta: 2:41:10 time: 0.0799 data_time: 0.0181 memory: 1684 loss: 1.2647 2023/04/03 03:19:18 - mmengine - INFO - Epoch(train) [77][1000/5005] lr: 1.3552e-05 eta: 2:41:02 time: 0.0793 data_time: 0.0184 memory: 1684 loss: 1.3804 2023/04/03 03:19:26 - mmengine - INFO - Epoch(train) [77][1100/5005] lr: 1.3552e-05 eta: 2:40:54 time: 0.0811 data_time: 0.0176 memory: 1684 loss: 1.0654 2023/04/03 03:19:35 - mmengine - INFO - Epoch(train) [77][1200/5005] lr: 1.3552e-05 eta: 2:40:46 time: 0.0918 data_time: 0.0177 memory: 1684 loss: 1.1739 2023/04/03 03:19:43 - mmengine - INFO - Epoch(train) [77][1300/5005] lr: 1.3552e-05 eta: 2:40:38 time: 0.0810 data_time: 0.0180 memory: 1684 loss: 1.4090 2023/04/03 03:19:52 - mmengine - INFO - Epoch(train) [77][1400/5005] lr: 1.3552e-05 eta: 2:40:30 time: 0.0799 data_time: 0.0176 memory: 1684 loss: 1.3317 2023/04/03 03:20:00 - mmengine - INFO - Epoch(train) [77][1500/5005] lr: 1.3552e-05 eta: 2:40:22 time: 0.0785 data_time: 0.0180 memory: 1684 loss: 1.2529 2023/04/03 03:20:08 - mmengine - INFO - Epoch(train) [77][1600/5005] lr: 1.3552e-05 eta: 2:40:14 time: 0.0774 data_time: 0.0177 memory: 1684 loss: 1.1063 2023/04/03 03:20:09 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:20:16 - mmengine - INFO - Epoch(train) [77][1700/5005] lr: 1.3552e-05 eta: 2:40:05 time: 0.0775 data_time: 0.0178 memory: 1684 loss: 1.2390 2023/04/03 03:20:24 - mmengine - INFO - Epoch(train) [77][1800/5005] lr: 1.3552e-05 eta: 2:39:57 time: 0.0760 data_time: 0.0178 memory: 1684 loss: 1.1622 2023/04/03 03:20:32 - mmengine - INFO - Epoch(train) [77][1900/5005] lr: 1.3552e-05 eta: 2:39:49 time: 0.0777 data_time: 0.0178 memory: 1684 loss: 0.9213 2023/04/03 03:20:40 - mmengine - INFO - Epoch(train) [77][2000/5005] lr: 1.3552e-05 eta: 2:39:41 time: 0.0785 data_time: 0.0178 memory: 1684 loss: 1.5244 2023/04/03 03:20:48 - mmengine - INFO - Epoch(train) [77][2100/5005] lr: 1.3552e-05 eta: 2:39:33 time: 0.0781 data_time: 0.0181 memory: 1684 loss: 1.2996 2023/04/03 03:20:56 - mmengine - INFO - Epoch(train) [77][2200/5005] lr: 1.3552e-05 eta: 2:39:25 time: 0.0857 data_time: 0.0180 memory: 1684 loss: 1.1106 2023/04/03 03:21:05 - mmengine - INFO - Epoch(train) [77][2300/5005] lr: 1.3552e-05 eta: 2:39:17 time: 0.0798 data_time: 0.0175 memory: 1684 loss: 1.0117 2023/04/03 03:21:14 - mmengine - INFO - Epoch(train) [77][2400/5005] lr: 1.3552e-05 eta: 2:39:09 time: 0.0819 data_time: 0.0185 memory: 1684 loss: 1.1159 2023/04/03 03:21:22 - mmengine - INFO - Epoch(train) [77][2500/5005] lr: 1.3552e-05 eta: 2:39:01 time: 0.0834 data_time: 0.0178 memory: 1684 loss: 1.0776 2023/04/03 03:21:31 - mmengine - INFO - Epoch(train) [77][2600/5005] lr: 1.3552e-05 eta: 2:38:53 time: 0.0792 data_time: 0.0185 memory: 1684 loss: 1.2432 2023/04/03 03:21:32 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:21:39 - mmengine - INFO - Epoch(train) [77][2700/5005] lr: 1.3552e-05 eta: 2:38:45 time: 0.0786 data_time: 0.0179 memory: 1684 loss: 1.2937 2023/04/03 03:21:47 - mmengine - INFO - Epoch(train) [77][2800/5005] lr: 1.3552e-05 eta: 2:38:36 time: 0.0798 data_time: 0.0179 memory: 1684 loss: 1.2450 2023/04/03 03:21:55 - mmengine - INFO - Epoch(train) [77][2900/5005] lr: 1.3552e-05 eta: 2:38:28 time: 0.0781 data_time: 0.0179 memory: 1684 loss: 1.2445 2023/04/03 03:22:04 - mmengine - INFO - Epoch(train) [77][3000/5005] lr: 1.3552e-05 eta: 2:38:20 time: 0.0776 data_time: 0.0179 memory: 1684 loss: 1.0659 2023/04/03 03:22:11 - mmengine - INFO - Epoch(train) [77][3100/5005] lr: 1.3552e-05 eta: 2:38:12 time: 0.0770 data_time: 0.0181 memory: 1684 loss: 1.1272 2023/04/03 03:22:20 - mmengine - INFO - Epoch(train) [77][3200/5005] lr: 1.3552e-05 eta: 2:38:04 time: 0.0780 data_time: 0.0177 memory: 1684 loss: 1.2469 2023/04/03 03:22:28 - mmengine - INFO - Epoch(train) [77][3300/5005] lr: 1.3552e-05 eta: 2:37:56 time: 0.0789 data_time: 0.0194 memory: 1684 loss: 1.0658 2023/04/03 03:22:37 - mmengine - INFO - Epoch(train) [77][3400/5005] lr: 1.3552e-05 eta: 2:37:48 time: 0.0898 data_time: 0.0179 memory: 1684 loss: 1.3341 2023/04/03 03:22:45 - mmengine - INFO - Epoch(train) [77][3500/5005] lr: 1.3552e-05 eta: 2:37:40 time: 0.0778 data_time: 0.0182 memory: 1684 loss: 1.0288 2023/04/03 03:22:53 - mmengine - INFO - Epoch(train) [77][3600/5005] lr: 1.3552e-05 eta: 2:37:32 time: 0.0795 data_time: 0.0182 memory: 1684 loss: 1.1892 2023/04/03 03:22:55 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:23:01 - mmengine - INFO - Epoch(train) [77][3700/5005] lr: 1.3552e-05 eta: 2:37:24 time: 0.0833 data_time: 0.0187 memory: 1684 loss: 1.1874 2023/04/03 03:23:10 - mmengine - INFO - Epoch(train) [77][3800/5005] lr: 1.3552e-05 eta: 2:37:16 time: 0.0948 data_time: 0.0184 memory: 1684 loss: 1.0400 2023/04/03 03:23:18 - mmengine - INFO - Epoch(train) [77][3900/5005] lr: 1.3552e-05 eta: 2:37:07 time: 0.0811 data_time: 0.0194 memory: 1684 loss: 1.1266 2023/04/03 03:23:27 - mmengine - INFO - Epoch(train) [77][4000/5005] lr: 1.3552e-05 eta: 2:36:59 time: 0.0773 data_time: 0.0188 memory: 1684 loss: 1.2908 2023/04/03 03:23:35 - mmengine - INFO - Epoch(train) [77][4100/5005] lr: 1.3552e-05 eta: 2:36:51 time: 0.0770 data_time: 0.0185 memory: 1684 loss: 1.3295 2023/04/03 03:23:43 - mmengine - INFO - Epoch(train) [77][4200/5005] lr: 1.3552e-05 eta: 2:36:43 time: 0.0801 data_time: 0.0184 memory: 1684 loss: 1.2270 2023/04/03 03:23:51 - mmengine - INFO - Epoch(train) [77][4300/5005] lr: 1.3552e-05 eta: 2:36:35 time: 0.0905 data_time: 0.0183 memory: 1684 loss: 1.2214 2023/04/03 03:24:00 - mmengine - INFO - Epoch(train) [77][4400/5005] lr: 1.3552e-05 eta: 2:36:27 time: 0.0891 data_time: 0.0184 memory: 1684 loss: 1.2298 2023/04/03 03:24:08 - mmengine - INFO - Epoch(train) [77][4500/5005] lr: 1.3552e-05 eta: 2:36:19 time: 0.0915 data_time: 0.0297 memory: 1684 loss: 1.2250 2023/04/03 03:24:16 - mmengine - INFO - Epoch(train) [77][4600/5005] lr: 1.3552e-05 eta: 2:36:11 time: 0.0781 data_time: 0.0191 memory: 1684 loss: 1.3206 2023/04/03 03:24:18 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:24:24 - mmengine - INFO - Epoch(train) [77][4700/5005] lr: 1.3552e-05 eta: 2:36:03 time: 0.0761 data_time: 0.0182 memory: 1684 loss: 1.2694 2023/04/03 03:24:33 - mmengine - INFO - Epoch(train) [77][4800/5005] lr: 1.3552e-05 eta: 2:35:55 time: 0.0795 data_time: 0.0180 memory: 1684 loss: 1.0956 2023/04/03 03:24:41 - mmengine - INFO - Epoch(train) [77][4900/5005] lr: 1.3552e-05 eta: 2:35:46 time: 0.0824 data_time: 0.0184 memory: 1684 loss: 1.3433 2023/04/03 03:24:49 - mmengine - INFO - Epoch(train) [77][5000/5005] lr: 1.3552e-05 eta: 2:35:38 time: 0.0792 data_time: 0.0192 memory: 1684 loss: 1.2685 2023/04/03 03:24:49 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:24:49 - mmengine - INFO - Saving checkpoint at 77 epochs 2023/04/03 03:24:55 - mmengine - INFO - Epoch(val) [77][100/196] eta: 0:00:03 time: 0.0330 data_time: 0.0068 memory: 1684 2023/04/03 03:25:08 - mmengine - INFO - Epoch(val) [77][196/196] qat.accuracy/top1: 69.9180 qat.accuracy/top5: 89.2360data_time: 0.0082 time: 0.0316 2023/04/03 03:25:12 - mmengine - INFO - Epoch(val) [77][100/196] eta: 0:00:04 time: 0.0368 data_time: 0.0085 memory: 513 2023/04/03 03:25:25 - mmengine - INFO - Epoch(val) [77][196/196] qat.accuracy/top1: 69.8880 qat.accuracy/top5: 89.2340data_time: 0.0075 time: 0.0337 2023/04/03 03:25:28 - mmengine - INFO - Epoch(val) [77][100/196] eta: 0:00:02 time: 0.0240 data_time: 0.0133 memory: 470 2023/04/03 03:25:40 - mmengine - INFO - Epoch(val) [77][196/196] original.accuracy/top1: 69.8340 original.accuracy/top5: 89.2920data_time: 0.0300 time: 0.0400 2023/04/03 03:25:50 - mmengine - INFO - Epoch(train) [78][ 100/5005] lr: 1.2494e-05 eta: 2:35:30 time: 0.0814 data_time: 0.0181 memory: 1735 loss: 1.1721 2023/04/03 03:25:58 - mmengine - INFO - Epoch(train) [78][ 200/5005] lr: 1.2494e-05 eta: 2:35:22 time: 0.0788 data_time: 0.0175 memory: 1735 loss: 1.1698 2023/04/03 03:26:07 - mmengine - INFO - Epoch(train) [78][ 300/5005] lr: 1.2494e-05 eta: 2:35:14 time: 0.0820 data_time: 0.0178 memory: 1735 loss: 1.2864 2023/04/03 03:26:15 - mmengine - INFO - Epoch(train) [78][ 400/5005] lr: 1.2494e-05 eta: 2:35:06 time: 0.0816 data_time: 0.0181 memory: 1735 loss: 1.2263 2023/04/03 03:26:23 - mmengine - INFO - Epoch(train) [78][ 500/5005] lr: 1.2494e-05 eta: 2:34:58 time: 0.0805 data_time: 0.0177 memory: 1735 loss: 1.2342 2023/04/03 03:26:32 - mmengine - INFO - Epoch(train) [78][ 600/5005] lr: 1.2494e-05 eta: 2:34:50 time: 0.0797 data_time: 0.0180 memory: 1735 loss: 1.0402 2023/04/03 03:26:33 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:26:40 - mmengine - INFO - Epoch(train) [78][ 700/5005] lr: 1.2494e-05 eta: 2:34:42 time: 0.1009 data_time: 0.0181 memory: 1735 loss: 1.2633 2023/04/03 03:26:49 - mmengine - INFO - Epoch(train) [78][ 800/5005] lr: 1.2494e-05 eta: 2:34:34 time: 0.0929 data_time: 0.0178 memory: 1735 loss: 1.1495 2023/04/03 03:26:57 - mmengine - INFO - Epoch(train) [78][ 900/5005] lr: 1.2494e-05 eta: 2:34:26 time: 0.0831 data_time: 0.0177 memory: 1735 loss: 1.2991 2023/04/03 03:27:06 - mmengine - INFO - Epoch(train) [78][1000/5005] lr: 1.2494e-05 eta: 2:34:18 time: 0.0957 data_time: 0.0177 memory: 1735 loss: 1.1994 2023/04/03 03:27:14 - mmengine - INFO - Epoch(train) [78][1100/5005] lr: 1.2494e-05 eta: 2:34:10 time: 0.0828 data_time: 0.0180 memory: 1684 loss: 1.2618 2023/04/03 03:27:23 - mmengine - INFO - Epoch(train) [78][1200/5005] lr: 1.2494e-05 eta: 2:34:02 time: 0.0767 data_time: 0.0179 memory: 1684 loss: 1.1925 2023/04/03 03:27:31 - mmengine - INFO - Epoch(train) [78][1300/5005] lr: 1.2494e-05 eta: 2:33:54 time: 0.0851 data_time: 0.0177 memory: 1684 loss: 1.2536 2023/04/03 03:27:40 - mmengine - INFO - Epoch(train) [78][1400/5005] lr: 1.2494e-05 eta: 2:33:45 time: 0.0797 data_time: 0.0173 memory: 1684 loss: 1.5122 2023/04/03 03:27:48 - mmengine - INFO - Epoch(train) [78][1500/5005] lr: 1.2494e-05 eta: 2:33:37 time: 0.0971 data_time: 0.0181 memory: 1684 loss: 1.3931 2023/04/03 03:27:56 - mmengine - INFO - Epoch(train) [78][1600/5005] lr: 1.2494e-05 eta: 2:33:29 time: 0.0930 data_time: 0.0178 memory: 1684 loss: 1.2460 2023/04/03 03:27:57 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:28:05 - mmengine - INFO - Epoch(train) [78][1700/5005] lr: 1.2494e-05 eta: 2:33:21 time: 0.0808 data_time: 0.0180 memory: 1684 loss: 1.3789 2023/04/03 03:28:13 - mmengine - INFO - Epoch(train) [78][1800/5005] lr: 1.2494e-05 eta: 2:33:13 time: 0.0782 data_time: 0.0179 memory: 1684 loss: 1.2575 2023/04/03 03:28:21 - mmengine - INFO - Epoch(train) [78][1900/5005] lr: 1.2494e-05 eta: 2:33:05 time: 0.0786 data_time: 0.0181 memory: 1684 loss: 1.0981 2023/04/03 03:28:29 - mmengine - INFO - Epoch(train) [78][2000/5005] lr: 1.2494e-05 eta: 2:32:57 time: 0.0773 data_time: 0.0172 memory: 1684 loss: 1.0369 2023/04/03 03:28:37 - mmengine - INFO - Epoch(train) [78][2100/5005] lr: 1.2494e-05 eta: 2:32:49 time: 0.0767 data_time: 0.0181 memory: 1684 loss: 1.2908 2023/04/03 03:28:46 - mmengine - INFO - Epoch(train) [78][2200/5005] lr: 1.2494e-05 eta: 2:32:41 time: 0.0825 data_time: 0.0183 memory: 1684 loss: 1.1591 2023/04/03 03:28:54 - mmengine - INFO - Epoch(train) [78][2300/5005] lr: 1.2494e-05 eta: 2:32:33 time: 0.0789 data_time: 0.0178 memory: 1684 loss: 1.2347 2023/04/03 03:29:02 - mmengine - INFO - Epoch(train) [78][2400/5005] lr: 1.2494e-05 eta: 2:32:24 time: 0.0818 data_time: 0.0180 memory: 1684 loss: 1.2644 2023/04/03 03:29:11 - mmengine - INFO - Epoch(train) [78][2500/5005] lr: 1.2494e-05 eta: 2:32:16 time: 0.0840 data_time: 0.0177 memory: 1684 loss: 1.0191 2023/04/03 03:29:19 - mmengine - INFO - Epoch(train) [78][2600/5005] lr: 1.2494e-05 eta: 2:32:08 time: 0.1026 data_time: 0.0188 memory: 1684 loss: 1.2065 2023/04/03 03:29:20 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:29:28 - mmengine - INFO - Epoch(train) [78][2700/5005] lr: 1.2494e-05 eta: 2:32:00 time: 0.0802 data_time: 0.0185 memory: 1684 loss: 1.4323 2023/04/03 03:29:35 - mmengine - INFO - Epoch(train) [78][2800/5005] lr: 1.2494e-05 eta: 2:31:52 time: 0.0768 data_time: 0.0179 memory: 1684 loss: 0.9228 2023/04/03 03:29:44 - mmengine - INFO - Epoch(train) [78][2900/5005] lr: 1.2494e-05 eta: 2:31:44 time: 0.0911 data_time: 0.0186 memory: 1684 loss: 1.2079 2023/04/03 03:29:52 - mmengine - INFO - Epoch(train) [78][3000/5005] lr: 1.2494e-05 eta: 2:31:36 time: 0.0797 data_time: 0.0182 memory: 1684 loss: 1.1091 2023/04/03 03:30:00 - mmengine - INFO - Epoch(train) [78][3100/5005] lr: 1.2494e-05 eta: 2:31:28 time: 0.0788 data_time: 0.0177 memory: 1684 loss: 1.0187 2023/04/03 03:30:08 - mmengine - INFO - Epoch(train) [78][3200/5005] lr: 1.2494e-05 eta: 2:31:20 time: 0.0757 data_time: 0.0178 memory: 1684 loss: 1.2603 2023/04/03 03:30:16 - mmengine - INFO - Epoch(train) [78][3300/5005] lr: 1.2494e-05 eta: 2:31:11 time: 0.0906 data_time: 0.0180 memory: 1684 loss: 1.2384 2023/04/03 03:30:24 - mmengine - INFO - Epoch(train) [78][3400/5005] lr: 1.2494e-05 eta: 2:31:03 time: 0.0768 data_time: 0.0181 memory: 1684 loss: 1.1649 2023/04/03 03:30:32 - mmengine - INFO - Epoch(train) [78][3500/5005] lr: 1.2494e-05 eta: 2:30:55 time: 0.0799 data_time: 0.0182 memory: 1684 loss: 1.4455 2023/04/03 03:30:41 - mmengine - INFO - Epoch(train) [78][3600/5005] lr: 1.2494e-05 eta: 2:30:47 time: 0.0869 data_time: 0.0178 memory: 1684 loss: 1.1371 2023/04/03 03:30:42 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:30:49 - mmengine - INFO - Epoch(train) [78][3700/5005] lr: 1.2494e-05 eta: 2:30:39 time: 0.0887 data_time: 0.0290 memory: 1684 loss: 1.1258 2023/04/03 03:30:57 - mmengine - INFO - Epoch(train) [78][3800/5005] lr: 1.2494e-05 eta: 2:30:31 time: 0.0778 data_time: 0.0179 memory: 1684 loss: 1.2360 2023/04/03 03:31:05 - mmengine - INFO - Epoch(train) [78][3900/5005] lr: 1.2494e-05 eta: 2:30:23 time: 0.0800 data_time: 0.0179 memory: 1684 loss: 1.2398 2023/04/03 03:31:13 - mmengine - INFO - Epoch(train) [78][4000/5005] lr: 1.2494e-05 eta: 2:30:15 time: 0.0896 data_time: 0.0177 memory: 1684 loss: 1.0161 2023/04/03 03:31:21 - mmengine - INFO - Epoch(train) [78][4100/5005] lr: 1.2494e-05 eta: 2:30:06 time: 0.0780 data_time: 0.0180 memory: 1684 loss: 1.4067 2023/04/03 03:31:30 - mmengine - INFO - Epoch(train) [78][4200/5005] lr: 1.2494e-05 eta: 2:29:58 time: 0.0825 data_time: 0.0187 memory: 1684 loss: 1.1138 2023/04/03 03:31:38 - mmengine - INFO - Epoch(train) [78][4300/5005] lr: 1.2494e-05 eta: 2:29:50 time: 0.0857 data_time: 0.0188 memory: 1684 loss: 1.1521 2023/04/03 03:31:47 - mmengine - INFO - Epoch(train) [78][4400/5005] lr: 1.2494e-05 eta: 2:29:42 time: 0.0886 data_time: 0.0181 memory: 1684 loss: 1.3438 2023/04/03 03:31:55 - mmengine - INFO - Epoch(train) [78][4500/5005] lr: 1.2494e-05 eta: 2:29:34 time: 0.0878 data_time: 0.0295 memory: 1684 loss: 1.1356 2023/04/03 03:32:03 - mmengine - INFO - Epoch(train) [78][4600/5005] lr: 1.2494e-05 eta: 2:29:26 time: 0.0887 data_time: 0.0188 memory: 1684 loss: 1.3272 2023/04/03 03:32:04 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:32:11 - mmengine - INFO - Epoch(train) [78][4700/5005] lr: 1.2494e-05 eta: 2:29:18 time: 0.0763 data_time: 0.0184 memory: 1684 loss: 1.2298 2023/04/03 03:32:19 - mmengine - INFO - Epoch(train) [78][4800/5005] lr: 1.2494e-05 eta: 2:29:10 time: 0.0763 data_time: 0.0184 memory: 1684 loss: 1.0861 2023/04/03 03:32:27 - mmengine - INFO - Epoch(train) [78][4900/5005] lr: 1.2494e-05 eta: 2:29:01 time: 0.0780 data_time: 0.0184 memory: 1684 loss: 1.1855 2023/04/03 03:32:36 - mmengine - INFO - Epoch(train) [78][5000/5005] lr: 1.2494e-05 eta: 2:28:53 time: 0.0829 data_time: 0.0202 memory: 1684 loss: 1.0587 2023/04/03 03:32:36 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:32:36 - mmengine - INFO - Saving checkpoint at 78 epochs 2023/04/03 03:32:42 - mmengine - INFO - Epoch(val) [78][100/196] eta: 0:00:03 time: 0.0329 data_time: 0.0080 memory: 1684 2023/04/03 03:32:54 - mmengine - INFO - Epoch(val) [78][196/196] qat.accuracy/top1: 69.9020 qat.accuracy/top5: 89.2660data_time: 0.0127 time: 0.0362 2023/04/03 03:32:59 - mmengine - INFO - Epoch(val) [78][100/196] eta: 0:00:03 time: 0.0354 data_time: 0.0082 memory: 513 2023/04/03 03:33:12 - mmengine - INFO - Epoch(val) [78][196/196] qat.accuracy/top1: 69.8280 qat.accuracy/top5: 89.2960data_time: 0.0071 time: 0.0341 2023/04/03 03:33:15 - mmengine - INFO - Epoch(val) [78][100/196] eta: 0:00:02 time: 0.0286 data_time: 0.0173 memory: 470 2023/04/03 03:33:28 - mmengine - INFO - Epoch(val) [78][196/196] original.accuracy/top1: 69.7960 original.accuracy/top5: 89.2660data_time: 0.0296 time: 0.0396 2023/04/03 03:33:38 - mmengine - INFO - Epoch(train) [79][ 100/5005] lr: 1.1474e-05 eta: 2:28:45 time: 0.0796 data_time: 0.0190 memory: 1735 loss: 1.2465 2023/04/03 03:33:46 - mmengine - INFO - Epoch(train) [79][ 200/5005] lr: 1.1474e-05 eta: 2:28:37 time: 0.0785 data_time: 0.0193 memory: 1684 loss: 1.0738 2023/04/03 03:33:54 - mmengine - INFO - Epoch(train) [79][ 300/5005] lr: 1.1474e-05 eta: 2:28:29 time: 0.0813 data_time: 0.0188 memory: 1684 loss: 1.1455 2023/04/03 03:34:03 - mmengine - INFO - Epoch(train) [79][ 400/5005] lr: 1.1474e-05 eta: 2:28:21 time: 0.0848 data_time: 0.0191 memory: 1684 loss: 1.2180 2023/04/03 03:34:11 - mmengine - INFO - Epoch(train) [79][ 500/5005] lr: 1.1474e-05 eta: 2:28:13 time: 0.0796 data_time: 0.0179 memory: 1684 loss: 1.2276 2023/04/03 03:34:20 - mmengine - INFO - Epoch(train) [79][ 600/5005] lr: 1.1474e-05 eta: 2:28:05 time: 0.0821 data_time: 0.0188 memory: 1684 loss: 1.2214 2023/04/03 03:34:20 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:34:28 - mmengine - INFO - Epoch(train) [79][ 700/5005] lr: 1.1474e-05 eta: 2:27:57 time: 0.0959 data_time: 0.0185 memory: 1684 loss: 1.2122 2023/04/03 03:34:37 - mmengine - INFO - Epoch(train) [79][ 800/5005] lr: 1.1474e-05 eta: 2:27:49 time: 0.0867 data_time: 0.0185 memory: 1684 loss: 1.2002 2023/04/03 03:34:45 - mmengine - INFO - Epoch(train) [79][ 900/5005] lr: 1.1474e-05 eta: 2:27:41 time: 0.0805 data_time: 0.0182 memory: 1684 loss: 1.1453 2023/04/03 03:34:54 - mmengine - INFO - Epoch(train) [79][1000/5005] lr: 1.1474e-05 eta: 2:27:33 time: 0.0828 data_time: 0.0181 memory: 1684 loss: 1.1650 2023/04/03 03:35:02 - mmengine - INFO - Epoch(train) [79][1100/5005] lr: 1.1474e-05 eta: 2:27:25 time: 0.0790 data_time: 0.0182 memory: 1684 loss: 1.3054 2023/04/03 03:35:11 - mmengine - INFO - Epoch(train) [79][1200/5005] lr: 1.1474e-05 eta: 2:27:17 time: 0.1033 data_time: 0.0469 memory: 1684 loss: 1.2392 2023/04/03 03:35:19 - mmengine - INFO - Epoch(train) [79][1300/5005] lr: 1.1474e-05 eta: 2:27:09 time: 0.0789 data_time: 0.0188 memory: 1684 loss: 1.1137 2023/04/03 03:35:27 - mmengine - INFO - Epoch(train) [79][1400/5005] lr: 1.1474e-05 eta: 2:27:00 time: 0.0800 data_time: 0.0181 memory: 1684 loss: 1.2520 2023/04/03 03:35:35 - mmengine - INFO - Epoch(train) [79][1500/5005] lr: 1.1474e-05 eta: 2:26:52 time: 0.0788 data_time: 0.0186 memory: 1684 loss: 1.2473 2023/04/03 03:35:44 - mmengine - INFO - Epoch(train) [79][1600/5005] lr: 1.1474e-05 eta: 2:26:44 time: 0.0803 data_time: 0.0189 memory: 1684 loss: 1.1074 2023/04/03 03:35:44 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:35:52 - mmengine - INFO - Epoch(train) [79][1700/5005] lr: 1.1474e-05 eta: 2:26:36 time: 0.0796 data_time: 0.0182 memory: 1684 loss: 1.0798 2023/04/03 03:36:00 - mmengine - INFO - Epoch(train) [79][1800/5005] lr: 1.1474e-05 eta: 2:26:28 time: 0.0788 data_time: 0.0187 memory: 1684 loss: 1.0858 2023/04/03 03:36:09 - mmengine - INFO - Epoch(train) [79][1900/5005] lr: 1.1474e-05 eta: 2:26:20 time: 0.0833 data_time: 0.0181 memory: 1684 loss: 0.9023 2023/04/03 03:36:17 - mmengine - INFO - Epoch(train) [79][2000/5005] lr: 1.1474e-05 eta: 2:26:12 time: 0.0795 data_time: 0.0182 memory: 1684 loss: 1.3188 2023/04/03 03:36:25 - mmengine - INFO - Epoch(train) [79][2100/5005] lr: 1.1474e-05 eta: 2:26:04 time: 0.0798 data_time: 0.0183 memory: 1684 loss: 1.1956 2023/04/03 03:36:33 - mmengine - INFO - Epoch(train) [79][2200/5005] lr: 1.1474e-05 eta: 2:25:56 time: 0.0796 data_time: 0.0190 memory: 1684 loss: 1.2039 2023/04/03 03:36:41 - mmengine - INFO - Epoch(train) [79][2300/5005] lr: 1.1474e-05 eta: 2:25:48 time: 0.0792 data_time: 0.0184 memory: 1684 loss: 1.2448 2023/04/03 03:36:50 - mmengine - INFO - Epoch(train) [79][2400/5005] lr: 1.1474e-05 eta: 2:25:39 time: 0.0805 data_time: 0.0180 memory: 1684 loss: 1.2291 2023/04/03 03:36:58 - mmengine - INFO - Epoch(train) [79][2500/5005] lr: 1.1474e-05 eta: 2:25:31 time: 0.0773 data_time: 0.0184 memory: 1684 loss: 1.3418 2023/04/03 03:37:06 - mmengine - INFO - Epoch(train) [79][2600/5005] lr: 1.1474e-05 eta: 2:25:23 time: 0.0774 data_time: 0.0184 memory: 1684 loss: 1.2942 2023/04/03 03:37:07 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:37:14 - mmengine - INFO - Epoch(train) [79][2700/5005] lr: 1.1474e-05 eta: 2:25:15 time: 0.0854 data_time: 0.0180 memory: 1684 loss: 1.2196 2023/04/03 03:37:23 - mmengine - INFO - Epoch(train) [79][2800/5005] lr: 1.1474e-05 eta: 2:25:07 time: 0.0797 data_time: 0.0179 memory: 1684 loss: 1.3788 2023/04/03 03:37:31 - mmengine - INFO - Epoch(train) [79][2900/5005] lr: 1.1474e-05 eta: 2:24:59 time: 0.0793 data_time: 0.0195 memory: 1684 loss: 1.0729 2023/04/03 03:37:39 - mmengine - INFO - Epoch(train) [79][3000/5005] lr: 1.1474e-05 eta: 2:24:51 time: 0.0826 data_time: 0.0183 memory: 1684 loss: 1.1073 2023/04/03 03:37:47 - mmengine - INFO - Epoch(train) [79][3100/5005] lr: 1.1474e-05 eta: 2:24:43 time: 0.0773 data_time: 0.0183 memory: 1684 loss: 1.0952 2023/04/03 03:37:56 - mmengine - INFO - Epoch(train) [79][3200/5005] lr: 1.1474e-05 eta: 2:24:34 time: 0.0817 data_time: 0.0186 memory: 1684 loss: 1.2878 2023/04/03 03:38:04 - mmengine - INFO - Epoch(train) [79][3300/5005] lr: 1.1474e-05 eta: 2:24:26 time: 0.0885 data_time: 0.0184 memory: 1684 loss: 1.0936 2023/04/03 03:38:12 - mmengine - INFO - Epoch(train) [79][3400/5005] lr: 1.1474e-05 eta: 2:24:18 time: 0.0917 data_time: 0.0205 memory: 1684 loss: 1.0773 2023/04/03 03:38:21 - mmengine - INFO - Epoch(train) [79][3500/5005] lr: 1.1474e-05 eta: 2:24:10 time: 0.0901 data_time: 0.0185 memory: 1684 loss: 1.1090 2023/04/03 03:38:29 - mmengine - INFO - Epoch(train) [79][3600/5005] lr: 1.1474e-05 eta: 2:24:02 time: 0.0823 data_time: 0.0192 memory: 1684 loss: 1.2226 2023/04/03 03:38:30 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:38:38 - mmengine - INFO - Epoch(train) [79][3700/5005] lr: 1.1474e-05 eta: 2:23:54 time: 0.0815 data_time: 0.0184 memory: 1684 loss: 1.3698 2023/04/03 03:38:46 - mmengine - INFO - Epoch(train) [79][3800/5005] lr: 1.1474e-05 eta: 2:23:46 time: 0.0759 data_time: 0.0181 memory: 1684 loss: 1.3348 2023/04/03 03:38:54 - mmengine - INFO - Epoch(train) [79][3900/5005] lr: 1.1474e-05 eta: 2:23:38 time: 0.0792 data_time: 0.0193 memory: 1684 loss: 1.2095 2023/04/03 03:39:02 - mmengine - INFO - Epoch(train) [79][4000/5005] lr: 1.1474e-05 eta: 2:23:30 time: 0.0783 data_time: 0.0184 memory: 1684 loss: 1.2101 2023/04/03 03:39:10 - mmengine - INFO - Epoch(train) [79][4100/5005] lr: 1.1474e-05 eta: 2:23:22 time: 0.0796 data_time: 0.0185 memory: 1684 loss: 1.2413 2023/04/03 03:39:19 - mmengine - INFO - Epoch(train) [79][4200/5005] lr: 1.1474e-05 eta: 2:23:14 time: 0.0785 data_time: 0.0181 memory: 1684 loss: 1.2645 2023/04/03 03:39:27 - mmengine - INFO - Epoch(train) [79][4300/5005] lr: 1.1474e-05 eta: 2:23:05 time: 0.0790 data_time: 0.0186 memory: 1684 loss: 1.0703 2023/04/03 03:39:35 - mmengine - INFO - Epoch(train) [79][4400/5005] lr: 1.1474e-05 eta: 2:22:57 time: 0.0790 data_time: 0.0181 memory: 1684 loss: 1.1802 2023/04/03 03:39:43 - mmengine - INFO - Epoch(train) [79][4500/5005] lr: 1.1474e-05 eta: 2:22:49 time: 0.0801 data_time: 0.0201 memory: 1684 loss: 1.2398 2023/04/03 03:39:51 - mmengine - INFO - Epoch(train) [79][4600/5005] lr: 1.1474e-05 eta: 2:22:41 time: 0.0805 data_time: 0.0183 memory: 1684 loss: 1.3588 2023/04/03 03:39:52 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:40:00 - mmengine - INFO - Epoch(train) [79][4700/5005] lr: 1.1474e-05 eta: 2:22:33 time: 0.0808 data_time: 0.0188 memory: 1684 loss: 1.4682 2023/04/03 03:40:08 - mmengine - INFO - Epoch(train) [79][4800/5005] lr: 1.1474e-05 eta: 2:22:25 time: 0.0794 data_time: 0.0185 memory: 1684 loss: 1.2405 2023/04/03 03:40:16 - mmengine - INFO - Epoch(train) [79][4900/5005] lr: 1.1474e-05 eta: 2:22:17 time: 0.0810 data_time: 0.0188 memory: 1684 loss: 1.1368 2023/04/03 03:40:25 - mmengine - INFO - Epoch(train) [79][5000/5005] lr: 1.1474e-05 eta: 2:22:09 time: 0.0936 data_time: 0.0196 memory: 1684 loss: 1.4530 2023/04/03 03:40:25 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:40:25 - mmengine - INFO - Saving checkpoint at 79 epochs 2023/04/03 03:40:31 - mmengine - INFO - Epoch(val) [79][100/196] eta: 0:00:04 time: 0.0337 data_time: 0.0083 memory: 1684 2023/04/03 03:40:44 - mmengine - INFO - Epoch(val) [79][196/196] qat.accuracy/top1: 69.8820 qat.accuracy/top5: 89.2900data_time: 0.0096 time: 0.0330 2023/04/03 03:40:49 - mmengine - INFO - Epoch(val) [79][100/196] eta: 0:00:03 time: 0.0357 data_time: 0.0079 memory: 513 2023/04/03 03:41:02 - mmengine - INFO - Epoch(val) [79][196/196] qat.accuracy/top1: 69.8300 qat.accuracy/top5: 89.3100data_time: 0.0073 time: 0.0329 2023/04/03 03:41:05 - mmengine - INFO - Epoch(val) [79][100/196] eta: 0:00:02 time: 0.0248 data_time: 0.0139 memory: 470 2023/04/03 03:41:18 - mmengine - INFO - Epoch(val) [79][196/196] original.accuracy/top1: 69.7100 original.accuracy/top5: 89.2860data_time: 0.0331 time: 0.0432 2023/04/03 03:41:28 - mmengine - INFO - Epoch(train) [80][ 100/5005] lr: 1.0492e-05 eta: 2:22:01 time: 0.0880 data_time: 0.0180 memory: 1735 loss: 1.2914 2023/04/03 03:41:36 - mmengine - INFO - Epoch(train) [80][ 200/5005] lr: 1.0492e-05 eta: 2:21:53 time: 0.0927 data_time: 0.0173 memory: 1735 loss: 1.1975 2023/04/03 03:41:45 - mmengine - INFO - Epoch(train) [80][ 300/5005] lr: 1.0492e-05 eta: 2:21:45 time: 0.0798 data_time: 0.0176 memory: 1735 loss: 1.1663 2023/04/03 03:41:53 - mmengine - INFO - Epoch(train) [80][ 400/5005] lr: 1.0492e-05 eta: 2:21:36 time: 0.0764 data_time: 0.0177 memory: 1735 loss: 1.1384 2023/04/03 03:42:01 - mmengine - INFO - Epoch(train) [80][ 500/5005] lr: 1.0492e-05 eta: 2:21:28 time: 0.0893 data_time: 0.0176 memory: 1735 loss: 1.2360 2023/04/03 03:42:09 - mmengine - INFO - Epoch(train) [80][ 600/5005] lr: 1.0492e-05 eta: 2:21:20 time: 0.0879 data_time: 0.0177 memory: 1735 loss: 1.0024 2023/04/03 03:42:10 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:42:17 - mmengine - INFO - Epoch(train) [80][ 700/5005] lr: 1.0492e-05 eta: 2:21:12 time: 0.0764 data_time: 0.0175 memory: 1735 loss: 1.2426 2023/04/03 03:42:25 - mmengine - INFO - Epoch(train) [80][ 800/5005] lr: 1.0492e-05 eta: 2:21:04 time: 0.0788 data_time: 0.0181 memory: 1735 loss: 1.1444 2023/04/03 03:42:34 - mmengine - INFO - Epoch(train) [80][ 900/5005] lr: 1.0492e-05 eta: 2:20:56 time: 0.0783 data_time: 0.0196 memory: 1735 loss: 1.0883 2023/04/03 03:42:42 - mmengine - INFO - Epoch(train) [80][1000/5005] lr: 1.0492e-05 eta: 2:20:48 time: 0.0772 data_time: 0.0191 memory: 1684 loss: 1.0735 2023/04/03 03:42:50 - mmengine - INFO - Epoch(train) [80][1100/5005] lr: 1.0492e-05 eta: 2:20:40 time: 0.0797 data_time: 0.0197 memory: 1684 loss: 1.2626 2023/04/03 03:42:58 - mmengine - INFO - Epoch(train) [80][1200/5005] lr: 1.0492e-05 eta: 2:20:31 time: 0.0782 data_time: 0.0180 memory: 1684 loss: 1.0386 2023/04/03 03:43:06 - mmengine - INFO - Epoch(train) [80][1300/5005] lr: 1.0492e-05 eta: 2:20:23 time: 0.0799 data_time: 0.0186 memory: 1684 loss: 1.1156 2023/04/03 03:43:15 - mmengine - INFO - Epoch(train) [80][1400/5005] lr: 1.0492e-05 eta: 2:20:15 time: 0.0875 data_time: 0.0184 memory: 1684 loss: 1.1130 2023/04/03 03:43:23 - mmengine - INFO - Epoch(train) [80][1500/5005] lr: 1.0492e-05 eta: 2:20:07 time: 0.0795 data_time: 0.0189 memory: 1684 loss: 1.1424 2023/04/03 03:43:31 - mmengine - INFO - Epoch(train) [80][1600/5005] lr: 1.0492e-05 eta: 2:19:59 time: 0.0773 data_time: 0.0194 memory: 1684 loss: 1.3841 2023/04/03 03:43:32 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:43:39 - mmengine - INFO - Epoch(train) [80][1700/5005] lr: 1.0492e-05 eta: 2:19:51 time: 0.0776 data_time: 0.0193 memory: 1684 loss: 1.2366 2023/04/03 03:43:48 - mmengine - INFO - Epoch(train) [80][1800/5005] lr: 1.0492e-05 eta: 2:19:43 time: 0.0773 data_time: 0.0186 memory: 1684 loss: 1.1980 2023/04/03 03:43:55 - mmengine - INFO - Epoch(train) [80][1900/5005] lr: 1.0492e-05 eta: 2:19:35 time: 0.0781 data_time: 0.0182 memory: 1684 loss: 1.2923 2023/04/03 03:44:04 - mmengine - INFO - Epoch(train) [80][2000/5005] lr: 1.0492e-05 eta: 2:19:27 time: 0.0902 data_time: 0.0188 memory: 1684 loss: 1.3067 2023/04/03 03:44:12 - mmengine - INFO - Epoch(train) [80][2100/5005] lr: 1.0492e-05 eta: 2:19:18 time: 0.0802 data_time: 0.0189 memory: 1684 loss: 1.1447 2023/04/03 03:44:20 - mmengine - INFO - Epoch(train) [80][2200/5005] lr: 1.0492e-05 eta: 2:19:10 time: 0.0786 data_time: 0.0186 memory: 1684 loss: 1.1809 2023/04/03 03:44:29 - mmengine - INFO - Epoch(train) [80][2300/5005] lr: 1.0492e-05 eta: 2:19:02 time: 0.1009 data_time: 0.0185 memory: 1684 loss: 1.1582 2023/04/03 03:44:37 - mmengine - INFO - Epoch(train) [80][2400/5005] lr: 1.0492e-05 eta: 2:18:54 time: 0.0786 data_time: 0.0188 memory: 1684 loss: 0.9794 2023/04/03 03:44:45 - mmengine - INFO - Epoch(train) [80][2500/5005] lr: 1.0492e-05 eta: 2:18:46 time: 0.0888 data_time: 0.0187 memory: 1684 loss: 1.2310 2023/04/03 03:44:53 - mmengine - INFO - Epoch(train) [80][2600/5005] lr: 1.0492e-05 eta: 2:18:38 time: 0.0781 data_time: 0.0192 memory: 1684 loss: 1.2344 2023/04/03 03:44:53 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:45:01 - mmengine - INFO - Epoch(train) [80][2700/5005] lr: 1.0492e-05 eta: 2:18:30 time: 0.0802 data_time: 0.0180 memory: 1684 loss: 1.3370 2023/04/03 03:45:09 - mmengine - INFO - Epoch(train) [80][2800/5005] lr: 1.0492e-05 eta: 2:18:21 time: 0.0788 data_time: 0.0200 memory: 1684 loss: 0.9402 2023/04/03 03:45:18 - mmengine - INFO - Epoch(train) [80][2900/5005] lr: 1.0492e-05 eta: 2:18:13 time: 0.0784 data_time: 0.0206 memory: 1684 loss: 1.1772 2023/04/03 03:45:25 - mmengine - INFO - Epoch(train) [80][3000/5005] lr: 1.0492e-05 eta: 2:18:05 time: 0.0779 data_time: 0.0189 memory: 1684 loss: 1.4583 2023/04/03 03:45:34 - mmengine - INFO - Epoch(train) [80][3100/5005] lr: 1.0492e-05 eta: 2:17:57 time: 0.0795 data_time: 0.0196 memory: 1684 loss: 1.3495 2023/04/03 03:45:43 - mmengine - INFO - Epoch(train) [80][3200/5005] lr: 1.0492e-05 eta: 2:17:49 time: 0.0778 data_time: 0.0189 memory: 1684 loss: 1.2097 2023/04/03 03:45:52 - mmengine - INFO - Epoch(train) [80][3300/5005] lr: 1.0492e-05 eta: 2:17:41 time: 0.1072 data_time: 0.0290 memory: 1684 loss: 1.2749 2023/04/03 03:46:00 - mmengine - INFO - Epoch(train) [80][3400/5005] lr: 1.0492e-05 eta: 2:17:33 time: 0.0993 data_time: 0.0185 memory: 1684 loss: 1.1017 2023/04/03 03:46:09 - mmengine - INFO - Epoch(train) [80][3500/5005] lr: 1.0492e-05 eta: 2:17:25 time: 0.0847 data_time: 0.0231 memory: 1684 loss: 1.1936 2023/04/03 03:46:17 - mmengine - INFO - Epoch(train) [80][3600/5005] lr: 1.0492e-05 eta: 2:17:17 time: 0.0795 data_time: 0.0193 memory: 1684 loss: 1.0576 2023/04/03 03:46:18 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:46:26 - mmengine - INFO - Epoch(train) [80][3700/5005] lr: 1.0492e-05 eta: 2:17:09 time: 0.0991 data_time: 0.0302 memory: 1684 loss: 1.0208 2023/04/03 03:46:34 - mmengine - INFO - Epoch(train) [80][3800/5005] lr: 1.0492e-05 eta: 2:17:01 time: 0.0798 data_time: 0.0187 memory: 1684 loss: 1.1977 2023/04/03 03:46:42 - mmengine - INFO - Epoch(train) [80][3900/5005] lr: 1.0492e-05 eta: 2:16:53 time: 0.0776 data_time: 0.0189 memory: 1684 loss: 1.2038 2023/04/03 03:46:50 - mmengine - INFO - Epoch(train) [80][4000/5005] lr: 1.0492e-05 eta: 2:16:45 time: 0.0783 data_time: 0.0193 memory: 1684 loss: 1.1929 2023/04/03 03:46:58 - mmengine - INFO - Epoch(train) [80][4100/5005] lr: 1.0492e-05 eta: 2:16:36 time: 0.0778 data_time: 0.0184 memory: 1684 loss: 1.2471 2023/04/03 03:47:06 - mmengine - INFO - Epoch(train) [80][4200/5005] lr: 1.0492e-05 eta: 2:16:28 time: 0.0932 data_time: 0.0191 memory: 1684 loss: 1.1079 2023/04/03 03:47:15 - mmengine - INFO - Epoch(train) [80][4300/5005] lr: 1.0492e-05 eta: 2:16:20 time: 0.0780 data_time: 0.0187 memory: 1684 loss: 1.1967 2023/04/03 03:47:23 - mmengine - INFO - Epoch(train) [80][4400/5005] lr: 1.0492e-05 eta: 2:16:12 time: 0.0794 data_time: 0.0191 memory: 1684 loss: 1.3754 2023/04/03 03:47:31 - mmengine - INFO - Epoch(train) [80][4500/5005] lr: 1.0492e-05 eta: 2:16:04 time: 0.0814 data_time: 0.0195 memory: 1684 loss: 1.1562 2023/04/03 03:47:40 - mmengine - INFO - Epoch(train) [80][4600/5005] lr: 1.0492e-05 eta: 2:15:56 time: 0.0774 data_time: 0.0190 memory: 1684 loss: 1.1969 2023/04/03 03:47:40 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:47:48 - mmengine - INFO - Epoch(train) [80][4700/5005] lr: 1.0492e-05 eta: 2:15:48 time: 0.0776 data_time: 0.0189 memory: 1684 loss: 1.1509 2023/04/03 03:47:56 - mmengine - INFO - Epoch(train) [80][4800/5005] lr: 1.0492e-05 eta: 2:15:40 time: 0.0983 data_time: 0.0191 memory: 1684 loss: 1.2623 2023/04/03 03:48:05 - mmengine - INFO - Epoch(train) [80][4900/5005] lr: 1.0492e-05 eta: 2:15:32 time: 0.0804 data_time: 0.0199 memory: 1684 loss: 1.0993 2023/04/03 03:48:12 - mmengine - INFO - Epoch(train) [80][5000/5005] lr: 1.0492e-05 eta: 2:15:23 time: 0.0786 data_time: 0.0202 memory: 1684 loss: 1.2803 2023/04/03 03:48:13 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:48:13 - mmengine - INFO - Saving checkpoint at 80 epochs 2023/04/03 03:48:19 - mmengine - INFO - Epoch(val) [80][100/196] eta: 0:00:04 time: 0.0334 data_time: 0.0083 memory: 1684 2023/04/03 03:48:32 - mmengine - INFO - Epoch(val) [80][196/196] qat.accuracy/top1: 69.9360 qat.accuracy/top5: 89.2800data_time: 0.0065 time: 0.0305 2023/04/03 03:48:36 - mmengine - INFO - Epoch(val) [80][100/196] eta: 0:00:04 time: 0.0353 data_time: 0.0081 memory: 513 2023/04/03 03:48:50 - mmengine - INFO - Epoch(val) [80][196/196] qat.accuracy/top1: 69.8580 qat.accuracy/top5: 89.2720data_time: 0.0071 time: 0.0334 2023/04/03 03:48:53 - mmengine - INFO - Epoch(val) [80][100/196] eta: 0:00:02 time: 0.0238 data_time: 0.0124 memory: 470 2023/04/03 03:49:05 - mmengine - INFO - Epoch(val) [80][196/196] original.accuracy/top1: 69.7660 original.accuracy/top5: 89.2640data_time: 0.0310 time: 0.0434 2023/04/03 03:49:15 - mmengine - INFO - Epoch(train) [81][ 100/5005] lr: 9.5492e-06 eta: 2:15:15 time: 0.0821 data_time: 0.0192 memory: 1735 loss: 1.3081 2023/04/03 03:49:23 - mmengine - INFO - Epoch(train) [81][ 200/5005] lr: 9.5492e-06 eta: 2:15:07 time: 0.0963 data_time: 0.0183 memory: 1735 loss: 1.1628 2023/04/03 03:49:31 - mmengine - INFO - Epoch(train) [81][ 300/5005] lr: 9.5492e-06 eta: 2:14:59 time: 0.0844 data_time: 0.0214 memory: 1735 loss: 1.1726 2023/04/03 03:49:40 - mmengine - INFO - Epoch(train) [81][ 400/5005] lr: 9.5492e-06 eta: 2:14:51 time: 0.0767 data_time: 0.0190 memory: 1735 loss: 1.0733 2023/04/03 03:49:48 - mmengine - INFO - Epoch(train) [81][ 500/5005] lr: 9.5492e-06 eta: 2:14:43 time: 0.0808 data_time: 0.0203 memory: 1735 loss: 1.0587 2023/04/03 03:49:57 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:49:57 - mmengine - INFO - Epoch(train) [81][ 600/5005] lr: 9.5492e-06 eta: 2:14:35 time: 0.0817 data_time: 0.0193 memory: 1735 loss: 1.3113 2023/04/03 03:50:05 - mmengine - INFO - Epoch(train) [81][ 700/5005] lr: 9.5492e-06 eta: 2:14:27 time: 0.0864 data_time: 0.0263 memory: 1735 loss: 1.0969 2023/04/03 03:50:14 - mmengine - INFO - Epoch(train) [81][ 800/5005] lr: 9.5492e-06 eta: 2:14:19 time: 0.0786 data_time: 0.0187 memory: 1735 loss: 1.3889 2023/04/03 03:50:22 - mmengine - INFO - Epoch(train) [81][ 900/5005] lr: 9.5492e-06 eta: 2:14:11 time: 0.0900 data_time: 0.0182 memory: 1735 loss: 1.0358 2023/04/03 03:50:31 - mmengine - INFO - Epoch(train) [81][1000/5005] lr: 9.5492e-06 eta: 2:14:03 time: 0.0829 data_time: 0.0189 memory: 1735 loss: 1.2344 2023/04/03 03:50:40 - mmengine - INFO - Epoch(train) [81][1100/5005] lr: 9.5492e-06 eta: 2:13:55 time: 0.0977 data_time: 0.0203 memory: 1735 loss: 1.2728 2023/04/03 03:50:48 - mmengine - INFO - Epoch(train) [81][1200/5005] lr: 9.5492e-06 eta: 2:13:47 time: 0.0809 data_time: 0.0184 memory: 1684 loss: 1.0581 2023/04/03 03:50:56 - mmengine - INFO - Epoch(train) [81][1300/5005] lr: 9.5492e-06 eta: 2:13:38 time: 0.0769 data_time: 0.0185 memory: 1684 loss: 1.3656 2023/04/03 03:51:04 - mmengine - INFO - Epoch(train) [81][1400/5005] lr: 9.5492e-06 eta: 2:13:30 time: 0.0792 data_time: 0.0195 memory: 1684 loss: 1.2585 2023/04/03 03:51:13 - mmengine - INFO - Epoch(train) [81][1500/5005] lr: 9.5492e-06 eta: 2:13:22 time: 0.0782 data_time: 0.0191 memory: 1684 loss: 1.0811 2023/04/03 03:51:21 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:51:21 - mmengine - INFO - Epoch(train) [81][1600/5005] lr: 9.5492e-06 eta: 2:13:14 time: 0.0787 data_time: 0.0192 memory: 1684 loss: 1.3797 2023/04/03 03:51:30 - mmengine - INFO - Epoch(train) [81][1700/5005] lr: 9.5492e-06 eta: 2:13:06 time: 0.0760 data_time: 0.0193 memory: 1684 loss: 1.1929 2023/04/03 03:51:38 - mmengine - INFO - Epoch(train) [81][1800/5005] lr: 9.5492e-06 eta: 2:12:58 time: 0.0771 data_time: 0.0193 memory: 1684 loss: 1.2403 2023/04/03 03:51:46 - mmengine - INFO - Epoch(train) [81][1900/5005] lr: 9.5492e-06 eta: 2:12:50 time: 0.0798 data_time: 0.0195 memory: 1684 loss: 1.2340 2023/04/03 03:51:54 - mmengine - INFO - Epoch(train) [81][2000/5005] lr: 9.5492e-06 eta: 2:12:42 time: 0.0897 data_time: 0.0187 memory: 1684 loss: 1.1246 2023/04/03 03:52:03 - mmengine - INFO - Epoch(train) [81][2100/5005] lr: 9.5492e-06 eta: 2:12:34 time: 0.0801 data_time: 0.0193 memory: 1684 loss: 1.2417 2023/04/03 03:52:11 - mmengine - INFO - Epoch(train) [81][2200/5005] lr: 9.5492e-06 eta: 2:12:26 time: 0.0887 data_time: 0.0189 memory: 1684 loss: 1.1518 2023/04/03 03:52:20 - mmengine - INFO - Epoch(train) [81][2300/5005] lr: 9.5492e-06 eta: 2:12:18 time: 0.0851 data_time: 0.0202 memory: 1684 loss: 1.1921 2023/04/03 03:52:28 - mmengine - INFO - Epoch(train) [81][2400/5005] lr: 9.5492e-06 eta: 2:12:09 time: 0.0801 data_time: 0.0198 memory: 1684 loss: 1.2384 2023/04/03 03:52:36 - mmengine - INFO - Epoch(train) [81][2500/5005] lr: 9.5492e-06 eta: 2:12:01 time: 0.0805 data_time: 0.0197 memory: 1684 loss: 1.3750 2023/04/03 03:52:44 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:52:44 - mmengine - INFO - Epoch(train) [81][2600/5005] lr: 9.5492e-06 eta: 2:11:53 time: 0.0797 data_time: 0.0191 memory: 1684 loss: 1.1109 2023/04/03 03:52:53 - mmengine - INFO - Epoch(train) [81][2700/5005] lr: 9.5492e-06 eta: 2:11:45 time: 0.0886 data_time: 0.0294 memory: 1684 loss: 1.3341 2023/04/03 03:53:01 - mmengine - INFO - Epoch(train) [81][2800/5005] lr: 9.5492e-06 eta: 2:11:37 time: 0.0774 data_time: 0.0185 memory: 1684 loss: 1.0164 2023/04/03 03:53:09 - mmengine - INFO - Epoch(train) [81][2900/5005] lr: 9.5492e-06 eta: 2:11:29 time: 0.0796 data_time: 0.0191 memory: 1684 loss: 1.2851 2023/04/03 03:53:17 - mmengine - INFO - Epoch(train) [81][3000/5005] lr: 9.5492e-06 eta: 2:11:21 time: 0.0808 data_time: 0.0191 memory: 1684 loss: 1.0916 2023/04/03 03:53:26 - mmengine - INFO - Epoch(train) [81][3100/5005] lr: 9.5492e-06 eta: 2:11:13 time: 0.0878 data_time: 0.0198 memory: 1684 loss: 1.1966 2023/04/03 03:53:34 - mmengine - INFO - Epoch(train) [81][3200/5005] lr: 9.5492e-06 eta: 2:11:05 time: 0.0819 data_time: 0.0197 memory: 1684 loss: 1.1920 2023/04/03 03:53:43 - mmengine - INFO - Epoch(train) [81][3300/5005] lr: 9.5492e-06 eta: 2:10:57 time: 0.0836 data_time: 0.0183 memory: 1684 loss: 1.1875 2023/04/03 03:53:51 - mmengine - INFO - Epoch(train) [81][3400/5005] lr: 9.5492e-06 eta: 2:10:49 time: 0.0820 data_time: 0.0194 memory: 1684 loss: 1.1189 2023/04/03 03:53:59 - mmengine - INFO - Epoch(train) [81][3500/5005] lr: 9.5492e-06 eta: 2:10:40 time: 0.0781 data_time: 0.0185 memory: 1684 loss: 1.0673 2023/04/03 03:54:08 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:54:08 - mmengine - INFO - Epoch(train) [81][3600/5005] lr: 9.5492e-06 eta: 2:10:32 time: 0.0856 data_time: 0.0187 memory: 1684 loss: 1.2311 2023/04/03 03:54:16 - mmengine - INFO - Epoch(train) [81][3700/5005] lr: 9.5492e-06 eta: 2:10:24 time: 0.0779 data_time: 0.0191 memory: 1684 loss: 1.3187 2023/04/03 03:54:24 - mmengine - INFO - Epoch(train) [81][3800/5005] lr: 9.5492e-06 eta: 2:10:16 time: 0.0858 data_time: 0.0183 memory: 1684 loss: 1.1943 2023/04/03 03:54:32 - mmengine - INFO - Epoch(train) [81][3900/5005] lr: 9.5492e-06 eta: 2:10:08 time: 0.0913 data_time: 0.0185 memory: 1684 loss: 1.2328 2023/04/03 03:54:41 - mmengine - INFO - Epoch(train) [81][4000/5005] lr: 9.5492e-06 eta: 2:10:00 time: 0.0797 data_time: 0.0182 memory: 1684 loss: 1.1487 2023/04/03 03:54:49 - mmengine - INFO - Epoch(train) [81][4100/5005] lr: 9.5492e-06 eta: 2:09:52 time: 0.0775 data_time: 0.0188 memory: 1684 loss: 1.2792 2023/04/03 03:54:57 - mmengine - INFO - Epoch(train) [81][4200/5005] lr: 9.5492e-06 eta: 2:09:44 time: 0.0801 data_time: 0.0194 memory: 1684 loss: 1.1250 2023/04/03 03:55:05 - mmengine - INFO - Epoch(train) [81][4300/5005] lr: 9.5492e-06 eta: 2:09:35 time: 0.0776 data_time: 0.0183 memory: 1684 loss: 1.1889 2023/04/03 03:55:14 - mmengine - INFO - Epoch(train) [81][4400/5005] lr: 9.5492e-06 eta: 2:09:27 time: 0.0799 data_time: 0.0182 memory: 1684 loss: 1.1960 2023/04/03 03:55:22 - mmengine - INFO - Epoch(train) [81][4500/5005] lr: 9.5492e-06 eta: 2:09:19 time: 0.0786 data_time: 0.0195 memory: 1684 loss: 1.1109 2023/04/03 03:55:30 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:55:30 - mmengine - INFO - Epoch(train) [81][4600/5005] lr: 9.5492e-06 eta: 2:09:11 time: 0.0822 data_time: 0.0194 memory: 1684 loss: 1.3567 2023/04/03 03:55:38 - mmengine - INFO - Epoch(train) [81][4700/5005] lr: 9.5492e-06 eta: 2:09:03 time: 0.0777 data_time: 0.0183 memory: 1684 loss: 1.1271 2023/04/03 03:55:46 - mmengine - INFO - Epoch(train) [81][4800/5005] lr: 9.5492e-06 eta: 2:08:55 time: 0.0805 data_time: 0.0195 memory: 1684 loss: 1.0919 2023/04/03 03:55:54 - mmengine - INFO - Epoch(train) [81][4900/5005] lr: 9.5492e-06 eta: 2:08:47 time: 0.0903 data_time: 0.0313 memory: 1684 loss: 1.1850 2023/04/03 03:56:03 - mmengine - INFO - Epoch(train) [81][5000/5005] lr: 9.5492e-06 eta: 2:08:39 time: 0.0869 data_time: 0.0209 memory: 1684 loss: 1.2926 2023/04/03 03:56:03 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:56:03 - mmengine - INFO - Saving checkpoint at 81 epochs 2023/04/03 03:56:09 - mmengine - INFO - Epoch(val) [81][100/196] eta: 0:00:04 time: 0.0342 data_time: 0.0083 memory: 1684 2023/04/03 03:56:22 - mmengine - INFO - Epoch(val) [81][196/196] qat.accuracy/top1: 69.9600 qat.accuracy/top5: 89.3420data_time: 0.0071 time: 0.0304 2023/04/03 03:56:26 - mmengine - INFO - Epoch(val) [81][100/196] eta: 0:00:03 time: 0.0355 data_time: 0.0076 memory: 513 2023/04/03 03:56:40 - mmengine - INFO - Epoch(val) [81][196/196] qat.accuracy/top1: 69.9000 qat.accuracy/top5: 89.3160data_time: 0.0068 time: 0.0340 2023/04/03 03:56:43 - mmengine - INFO - Epoch(val) [81][100/196] eta: 0:00:03 time: 0.0235 data_time: 0.0127 memory: 470 2023/04/03 03:56:56 - mmengine - INFO - Epoch(val) [81][196/196] original.accuracy/top1: 69.7840 original.accuracy/top5: 89.2520data_time: 0.0341 time: 0.0441 2023/04/03 03:57:06 - mmengine - INFO - Epoch(train) [82][ 100/5005] lr: 8.6460e-06 eta: 2:08:30 time: 0.0815 data_time: 0.0187 memory: 1735 loss: 1.1031 2023/04/03 03:57:14 - mmengine - INFO - Epoch(train) [82][ 200/5005] lr: 8.6460e-06 eta: 2:08:22 time: 0.0781 data_time: 0.0176 memory: 1735 loss: 1.3067 2023/04/03 03:57:23 - mmengine - INFO - Epoch(train) [82][ 300/5005] lr: 8.6460e-06 eta: 2:08:14 time: 0.0804 data_time: 0.0187 memory: 1735 loss: 1.1897 2023/04/03 03:57:31 - mmengine - INFO - Epoch(train) [82][ 400/5005] lr: 8.6460e-06 eta: 2:08:06 time: 0.0978 data_time: 0.0196 memory: 1735 loss: 1.4282 2023/04/03 03:57:40 - mmengine - INFO - Epoch(train) [82][ 500/5005] lr: 8.6460e-06 eta: 2:07:58 time: 0.0776 data_time: 0.0180 memory: 1735 loss: 1.1633 2023/04/03 03:57:48 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:57:48 - mmengine - INFO - Epoch(train) [82][ 600/5005] lr: 8.6460e-06 eta: 2:07:50 time: 0.0927 data_time: 0.0323 memory: 1735 loss: 1.1599 2023/04/03 03:57:57 - mmengine - INFO - Epoch(train) [82][ 700/5005] lr: 8.6460e-06 eta: 2:07:42 time: 0.0824 data_time: 0.0182 memory: 1735 loss: 1.2676 2023/04/03 03:58:05 - mmengine - INFO - Epoch(train) [82][ 800/5005] lr: 8.6460e-06 eta: 2:07:34 time: 0.0804 data_time: 0.0181 memory: 1735 loss: 1.3884 2023/04/03 03:58:14 - mmengine - INFO - Epoch(train) [82][ 900/5005] lr: 8.6460e-06 eta: 2:07:26 time: 0.0804 data_time: 0.0184 memory: 1735 loss: 1.2361 2023/04/03 03:58:22 - mmengine - INFO - Epoch(train) [82][1000/5005] lr: 8.6460e-06 eta: 2:07:18 time: 0.0808 data_time: 0.0179 memory: 1735 loss: 1.2518 2023/04/03 03:58:31 - mmengine - INFO - Epoch(train) [82][1100/5005] lr: 8.6460e-06 eta: 2:07:10 time: 0.0808 data_time: 0.0198 memory: 1684 loss: 1.3922 2023/04/03 03:58:39 - mmengine - INFO - Epoch(train) [82][1200/5005] lr: 8.6460e-06 eta: 2:07:02 time: 0.0956 data_time: 0.0187 memory: 1684 loss: 1.1333 2023/04/03 03:58:48 - mmengine - INFO - Epoch(train) [82][1300/5005] lr: 8.6460e-06 eta: 2:06:54 time: 0.0827 data_time: 0.0182 memory: 1684 loss: 1.2415 2023/04/03 03:58:57 - mmengine - INFO - Epoch(train) [82][1400/5005] lr: 8.6460e-06 eta: 2:06:46 time: 0.0878 data_time: 0.0187 memory: 1684 loss: 1.0817 2023/04/03 03:59:05 - mmengine - INFO - Epoch(train) [82][1500/5005] lr: 8.6460e-06 eta: 2:06:38 time: 0.0894 data_time: 0.0188 memory: 1684 loss: 1.1884 2023/04/03 03:59:13 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 03:59:14 - mmengine - INFO - Epoch(train) [82][1600/5005] lr: 8.6460e-06 eta: 2:06:30 time: 0.0816 data_time: 0.0191 memory: 1684 loss: 1.2175 2023/04/03 03:59:22 - mmengine - INFO - Epoch(train) [82][1700/5005] lr: 8.6460e-06 eta: 2:06:22 time: 0.0927 data_time: 0.0178 memory: 1684 loss: 1.2378 2023/04/03 03:59:31 - mmengine - INFO - Epoch(train) [82][1800/5005] lr: 8.6460e-06 eta: 2:06:14 time: 0.0823 data_time: 0.0181 memory: 1684 loss: 1.1967 2023/04/03 03:59:40 - mmengine - INFO - Epoch(train) [82][1900/5005] lr: 8.6460e-06 eta: 2:06:06 time: 0.0784 data_time: 0.0184 memory: 1684 loss: 0.9987 2023/04/03 03:59:48 - mmengine - INFO - Epoch(train) [82][2000/5005] lr: 8.6460e-06 eta: 2:05:57 time: 0.0967 data_time: 0.0182 memory: 1684 loss: 1.1695 2023/04/03 03:59:56 - mmengine - INFO - Epoch(train) [82][2100/5005] lr: 8.6460e-06 eta: 2:05:49 time: 0.0774 data_time: 0.0181 memory: 1684 loss: 1.0090 2023/04/03 04:00:04 - mmengine - INFO - Epoch(train) [82][2200/5005] lr: 8.6460e-06 eta: 2:05:41 time: 0.0792 data_time: 0.0180 memory: 1684 loss: 1.3065 2023/04/03 04:00:12 - mmengine - INFO - Epoch(train) [82][2300/5005] lr: 8.6460e-06 eta: 2:05:33 time: 0.0768 data_time: 0.0180 memory: 1684 loss: 1.0319 2023/04/03 04:00:20 - mmengine - INFO - Epoch(train) [82][2400/5005] lr: 8.6460e-06 eta: 2:05:25 time: 0.0773 data_time: 0.0177 memory: 1684 loss: 1.1391 2023/04/03 04:00:28 - mmengine - INFO - Epoch(train) [82][2500/5005] lr: 8.6460e-06 eta: 2:05:17 time: 0.0795 data_time: 0.0183 memory: 1684 loss: 1.0839 2023/04/03 04:00:36 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:00:36 - mmengine - INFO - Epoch(train) [82][2600/5005] lr: 8.6460e-06 eta: 2:05:09 time: 0.0795 data_time: 0.0179 memory: 1684 loss: 1.1556 2023/04/03 04:00:45 - mmengine - INFO - Epoch(train) [82][2700/5005] lr: 8.6460e-06 eta: 2:05:00 time: 0.0773 data_time: 0.0176 memory: 1684 loss: 1.3665 2023/04/03 04:00:52 - mmengine - INFO - Epoch(train) [82][2800/5005] lr: 8.6460e-06 eta: 2:04:52 time: 0.0791 data_time: 0.0185 memory: 1684 loss: 1.3196 2023/04/03 04:01:01 - mmengine - INFO - Epoch(train) [82][2900/5005] lr: 8.6460e-06 eta: 2:04:44 time: 0.0791 data_time: 0.0179 memory: 1684 loss: 1.4064 2023/04/03 04:01:09 - mmengine - INFO - Epoch(train) [82][3000/5005] lr: 8.6460e-06 eta: 2:04:36 time: 0.0785 data_time: 0.0181 memory: 1684 loss: 1.0612 2023/04/03 04:01:17 - mmengine - INFO - Epoch(train) [82][3100/5005] lr: 8.6460e-06 eta: 2:04:28 time: 0.0919 data_time: 0.0182 memory: 1684 loss: 1.2355 2023/04/03 04:01:25 - mmengine - INFO - Epoch(train) [82][3200/5005] lr: 8.6460e-06 eta: 2:04:20 time: 0.0782 data_time: 0.0173 memory: 1684 loss: 1.1667 2023/04/03 04:01:33 - mmengine - INFO - Epoch(train) [82][3300/5005] lr: 8.6460e-06 eta: 2:04:12 time: 0.0767 data_time: 0.0179 memory: 1684 loss: 1.2046 2023/04/03 04:01:41 - mmengine - INFO - Epoch(train) [82][3400/5005] lr: 8.6460e-06 eta: 2:04:03 time: 0.0802 data_time: 0.0182 memory: 1684 loss: 1.3280 2023/04/03 04:01:50 - mmengine - INFO - Epoch(train) [82][3500/5005] lr: 8.6460e-06 eta: 2:03:55 time: 0.0782 data_time: 0.0179 memory: 1684 loss: 1.2609 2023/04/03 04:01:57 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:01:58 - mmengine - INFO - Epoch(train) [82][3600/5005] lr: 8.6460e-06 eta: 2:03:47 time: 0.0786 data_time: 0.0179 memory: 1684 loss: 1.1959 2023/04/03 04:02:06 - mmengine - INFO - Epoch(train) [82][3700/5005] lr: 8.6460e-06 eta: 2:03:39 time: 0.0788 data_time: 0.0181 memory: 1684 loss: 1.1496 2023/04/03 04:02:14 - mmengine - INFO - Epoch(train) [82][3800/5005] lr: 8.6460e-06 eta: 2:03:31 time: 0.0782 data_time: 0.0185 memory: 1684 loss: 1.3232 2023/04/03 04:02:22 - mmengine - INFO - Epoch(train) [82][3900/5005] lr: 8.6460e-06 eta: 2:03:23 time: 0.0778 data_time: 0.0181 memory: 1684 loss: 1.1516 2023/04/03 04:02:30 - mmengine - INFO - Epoch(train) [82][4000/5005] lr: 8.6460e-06 eta: 2:03:15 time: 0.0756 data_time: 0.0184 memory: 1684 loss: 1.2198 2023/04/03 04:02:39 - mmengine - INFO - Epoch(train) [82][4100/5005] lr: 8.6460e-06 eta: 2:03:07 time: 0.0798 data_time: 0.0179 memory: 1684 loss: 1.3159 2023/04/03 04:02:47 - mmengine - INFO - Epoch(train) [82][4200/5005] lr: 8.6460e-06 eta: 2:02:58 time: 0.0785 data_time: 0.0181 memory: 1684 loss: 1.1444 2023/04/03 04:02:55 - mmengine - INFO - Epoch(train) [82][4300/5005] lr: 8.6460e-06 eta: 2:02:50 time: 0.0824 data_time: 0.0181 memory: 1684 loss: 1.2650 2023/04/03 04:03:03 - mmengine - INFO - Epoch(train) [82][4400/5005] lr: 8.6460e-06 eta: 2:02:42 time: 0.0818 data_time: 0.0200 memory: 1684 loss: 1.2906 2023/04/03 04:03:11 - mmengine - INFO - Epoch(train) [82][4500/5005] lr: 8.6460e-06 eta: 2:02:34 time: 0.0892 data_time: 0.0181 memory: 1684 loss: 1.2425 2023/04/03 04:03:19 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:03:19 - mmengine - INFO - Epoch(train) [82][4600/5005] lr: 8.6460e-06 eta: 2:02:26 time: 0.0816 data_time: 0.0180 memory: 1684 loss: 1.3564 2023/04/03 04:03:28 - mmengine - INFO - Epoch(train) [82][4700/5005] lr: 8.6460e-06 eta: 2:02:18 time: 0.0809 data_time: 0.0180 memory: 1684 loss: 1.2279 2023/04/03 04:03:36 - mmengine - INFO - Epoch(train) [82][4800/5005] lr: 8.6460e-06 eta: 2:02:10 time: 0.0803 data_time: 0.0177 memory: 1684 loss: 1.3273 2023/04/03 04:03:45 - mmengine - INFO - Epoch(train) [82][4900/5005] lr: 8.6460e-06 eta: 2:02:02 time: 0.0802 data_time: 0.0198 memory: 1684 loss: 1.2168 2023/04/03 04:03:53 - mmengine - INFO - Epoch(train) [82][5000/5005] lr: 8.6460e-06 eta: 2:01:54 time: 0.0895 data_time: 0.0183 memory: 1684 loss: 1.2523 2023/04/03 04:03:53 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:03:53 - mmengine - INFO - Saving checkpoint at 82 epochs 2023/04/03 04:03:59 - mmengine - INFO - Epoch(val) [82][100/196] eta: 0:00:03 time: 0.0336 data_time: 0.0077 memory: 1684 2023/04/03 04:04:11 - mmengine - INFO - Epoch(val) [82][196/196] qat.accuracy/top1: 69.8600 qat.accuracy/top5: 89.3040data_time: 0.0172 time: 0.0418 2023/04/03 04:04:16 - mmengine - INFO - Epoch(val) [82][100/196] eta: 0:00:04 time: 0.0360 data_time: 0.0071 memory: 513 2023/04/03 04:04:29 - mmengine - INFO - Epoch(val) [82][196/196] qat.accuracy/top1: 69.8460 qat.accuracy/top5: 89.2880data_time: 0.0068 time: 0.0326 2023/04/03 04:04:32 - mmengine - INFO - Epoch(val) [82][100/196] eta: 0:00:03 time: 0.0244 data_time: 0.0136 memory: 470 2023/04/03 04:04:45 - mmengine - INFO - Epoch(val) [82][196/196] original.accuracy/top1: 69.8120 original.accuracy/top5: 89.2900data_time: 0.0320 time: 0.0413 2023/04/03 04:04:55 - mmengine - INFO - Epoch(train) [83][ 100/5005] lr: 7.7836e-06 eta: 2:01:45 time: 0.1034 data_time: 0.0174 memory: 1735 loss: 0.9117 2023/04/03 04:05:03 - mmengine - INFO - Epoch(train) [83][ 200/5005] lr: 7.7836e-06 eta: 2:01:37 time: 0.0824 data_time: 0.0177 memory: 1735 loss: 1.2498 2023/04/03 04:05:12 - mmengine - INFO - Epoch(train) [83][ 300/5005] lr: 7.7836e-06 eta: 2:01:29 time: 0.0813 data_time: 0.0186 memory: 1735 loss: 1.4253 2023/04/03 04:05:21 - mmengine - INFO - Epoch(train) [83][ 400/5005] lr: 7.7836e-06 eta: 2:01:21 time: 0.0796 data_time: 0.0181 memory: 1735 loss: 1.2272 2023/04/03 04:05:29 - mmengine - INFO - Epoch(train) [83][ 500/5005] lr: 7.7836e-06 eta: 2:01:13 time: 0.0912 data_time: 0.0205 memory: 1735 loss: 1.2713 2023/04/03 04:05:37 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:05:37 - mmengine - INFO - Epoch(train) [83][ 600/5005] lr: 7.7836e-06 eta: 2:01:05 time: 0.0785 data_time: 0.0195 memory: 1735 loss: 1.1334 2023/04/03 04:05:46 - mmengine - INFO - Epoch(train) [83][ 700/5005] lr: 7.7836e-06 eta: 2:00:57 time: 0.0948 data_time: 0.0212 memory: 1735 loss: 1.3608 2023/04/03 04:05:55 - mmengine - INFO - Epoch(train) [83][ 800/5005] lr: 7.7836e-06 eta: 2:00:49 time: 0.0903 data_time: 0.0193 memory: 1735 loss: 1.3199 2023/04/03 04:06:03 - mmengine - INFO - Epoch(train) [83][ 900/5005] lr: 7.7836e-06 eta: 2:00:41 time: 0.0836 data_time: 0.0214 memory: 1735 loss: 1.0762 2023/04/03 04:06:12 - mmengine - INFO - Epoch(train) [83][1000/5005] lr: 7.7836e-06 eta: 2:00:33 time: 0.0873 data_time: 0.0246 memory: 1684 loss: 1.1777 2023/04/03 04:06:20 - mmengine - INFO - Epoch(train) [83][1100/5005] lr: 7.7836e-06 eta: 2:00:25 time: 0.0786 data_time: 0.0190 memory: 1684 loss: 1.2223 2023/04/03 04:06:28 - mmengine - INFO - Epoch(train) [83][1200/5005] lr: 7.7836e-06 eta: 2:00:17 time: 0.0793 data_time: 0.0204 memory: 1684 loss: 1.0641 2023/04/03 04:06:37 - mmengine - INFO - Epoch(train) [83][1300/5005] lr: 7.7836e-06 eta: 2:00:09 time: 0.0794 data_time: 0.0183 memory: 1684 loss: 1.1831 2023/04/03 04:06:45 - mmengine - INFO - Epoch(train) [83][1400/5005] lr: 7.7836e-06 eta: 2:00:00 time: 0.0783 data_time: 0.0196 memory: 1684 loss: 1.3513 2023/04/03 04:06:53 - mmengine - INFO - Epoch(train) [83][1500/5005] lr: 7.7836e-06 eta: 1:59:52 time: 0.0844 data_time: 0.0196 memory: 1684 loss: 1.2641 2023/04/03 04:07:01 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:07:02 - mmengine - INFO - Epoch(train) [83][1600/5005] lr: 7.7836e-06 eta: 1:59:44 time: 0.0906 data_time: 0.0188 memory: 1684 loss: 1.4322 2023/04/03 04:07:11 - mmengine - INFO - Epoch(train) [83][1700/5005] lr: 7.7836e-06 eta: 1:59:36 time: 0.0777 data_time: 0.0187 memory: 1684 loss: 1.2608 2023/04/03 04:07:19 - mmengine - INFO - Epoch(train) [83][1800/5005] lr: 7.7836e-06 eta: 1:59:28 time: 0.0887 data_time: 0.0185 memory: 1684 loss: 1.2765 2023/04/03 04:07:28 - mmengine - INFO - Epoch(train) [83][1900/5005] lr: 7.7836e-06 eta: 1:59:20 time: 0.0911 data_time: 0.0194 memory: 1684 loss: 1.1233 2023/04/03 04:07:36 - mmengine - INFO - Epoch(train) [83][2000/5005] lr: 7.7836e-06 eta: 1:59:12 time: 0.0786 data_time: 0.0183 memory: 1684 loss: 1.0929 2023/04/03 04:07:45 - mmengine - INFO - Epoch(train) [83][2100/5005] lr: 7.7836e-06 eta: 1:59:04 time: 0.0950 data_time: 0.0197 memory: 1684 loss: 1.1518 2023/04/03 04:07:53 - mmengine - INFO - Epoch(train) [83][2200/5005] lr: 7.7836e-06 eta: 1:58:56 time: 0.0776 data_time: 0.0186 memory: 1684 loss: 1.1522 2023/04/03 04:08:01 - mmengine - INFO - Epoch(train) [83][2300/5005] lr: 7.7836e-06 eta: 1:58:48 time: 0.0801 data_time: 0.0187 memory: 1684 loss: 1.1963 2023/04/03 04:08:10 - mmengine - INFO - Epoch(train) [83][2400/5005] lr: 7.7836e-06 eta: 1:58:40 time: 0.0875 data_time: 0.0283 memory: 1684 loss: 1.2824 2023/04/03 04:08:18 - mmengine - INFO - Epoch(train) [83][2500/5005] lr: 7.7836e-06 eta: 1:58:32 time: 0.0774 data_time: 0.0194 memory: 1684 loss: 1.1235 2023/04/03 04:08:26 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:08:26 - mmengine - INFO - Epoch(train) [83][2600/5005] lr: 7.7836e-06 eta: 1:58:24 time: 0.0778 data_time: 0.0189 memory: 1684 loss: 1.2825 2023/04/03 04:08:35 - mmengine - INFO - Epoch(train) [83][2700/5005] lr: 7.7836e-06 eta: 1:58:16 time: 0.0956 data_time: 0.0188 memory: 1684 loss: 1.1749 2023/04/03 04:08:43 - mmengine - INFO - Epoch(train) [83][2800/5005] lr: 7.7836e-06 eta: 1:58:07 time: 0.0811 data_time: 0.0194 memory: 1684 loss: 1.1882 2023/04/03 04:08:52 - mmengine - INFO - Epoch(train) [83][2900/5005] lr: 7.7836e-06 eta: 1:57:59 time: 0.0815 data_time: 0.0189 memory: 1684 loss: 1.1167 2023/04/03 04:09:00 - mmengine - INFO - Epoch(train) [83][3000/5005] lr: 7.7836e-06 eta: 1:57:51 time: 0.0792 data_time: 0.0199 memory: 1684 loss: 1.1716 2023/04/03 04:09:08 - mmengine - INFO - Epoch(train) [83][3100/5005] lr: 7.7836e-06 eta: 1:57:43 time: 0.0813 data_time: 0.0200 memory: 1684 loss: 1.1664 2023/04/03 04:09:17 - mmengine - INFO - Epoch(train) [83][3200/5005] lr: 7.7836e-06 eta: 1:57:35 time: 0.0800 data_time: 0.0192 memory: 1684 loss: 1.2956 2023/04/03 04:09:25 - mmengine - INFO - Epoch(train) [83][3300/5005] lr: 7.7836e-06 eta: 1:57:27 time: 0.0802 data_time: 0.0192 memory: 1684 loss: 1.1416 2023/04/03 04:09:33 - mmengine - INFO - Epoch(train) [83][3400/5005] lr: 7.7836e-06 eta: 1:57:19 time: 0.0792 data_time: 0.0196 memory: 1684 loss: 1.1611 2023/04/03 04:09:42 - mmengine - INFO - Epoch(train) [83][3500/5005] lr: 7.7836e-06 eta: 1:57:11 time: 0.0820 data_time: 0.0195 memory: 1684 loss: 0.9510 2023/04/03 04:09:49 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:09:50 - mmengine - INFO - Epoch(train) [83][3600/5005] lr: 7.7836e-06 eta: 1:57:03 time: 0.0796 data_time: 0.0188 memory: 1684 loss: 1.2580 2023/04/03 04:09:58 - mmengine - INFO - Epoch(train) [83][3700/5005] lr: 7.7836e-06 eta: 1:56:54 time: 0.0808 data_time: 0.0189 memory: 1684 loss: 1.2808 2023/04/03 04:10:06 - mmengine - INFO - Epoch(train) [83][3800/5005] lr: 7.7836e-06 eta: 1:56:46 time: 0.0787 data_time: 0.0195 memory: 1684 loss: 1.1777 2023/04/03 04:10:15 - mmengine - INFO - Epoch(train) [83][3900/5005] lr: 7.7836e-06 eta: 1:56:38 time: 0.0891 data_time: 0.0199 memory: 1684 loss: 1.1510 2023/04/03 04:10:23 - mmengine - INFO - Epoch(train) [83][4000/5005] lr: 7.7836e-06 eta: 1:56:30 time: 0.0884 data_time: 0.0193 memory: 1684 loss: 1.0513 2023/04/03 04:10:31 - mmengine - INFO - Epoch(train) [83][4100/5005] lr: 7.7836e-06 eta: 1:56:22 time: 0.0775 data_time: 0.0202 memory: 1684 loss: 1.3126 2023/04/03 04:10:39 - mmengine - INFO - Epoch(train) [83][4200/5005] lr: 7.7836e-06 eta: 1:56:14 time: 0.0791 data_time: 0.0188 memory: 1684 loss: 1.1203 2023/04/03 04:10:48 - mmengine - INFO - Epoch(train) [83][4300/5005] lr: 7.7836e-06 eta: 1:56:06 time: 0.0887 data_time: 0.0308 memory: 1684 loss: 1.0625 2023/04/03 04:10:56 - mmengine - INFO - Epoch(train) [83][4400/5005] lr: 7.7836e-06 eta: 1:55:58 time: 0.0816 data_time: 0.0188 memory: 1684 loss: 1.2367 2023/04/03 04:11:04 - mmengine - INFO - Epoch(train) [83][4500/5005] lr: 7.7836e-06 eta: 1:55:50 time: 0.0805 data_time: 0.0194 memory: 1684 loss: 1.2393 2023/04/03 04:11:12 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:11:13 - mmengine - INFO - Epoch(train) [83][4600/5005] lr: 7.7836e-06 eta: 1:55:41 time: 0.0779 data_time: 0.0187 memory: 1684 loss: 1.0080 2023/04/03 04:11:21 - mmengine - INFO - Epoch(train) [83][4700/5005] lr: 7.7836e-06 eta: 1:55:33 time: 0.0785 data_time: 0.0194 memory: 1684 loss: 1.1359 2023/04/03 04:11:30 - mmengine - INFO - Epoch(train) [83][4800/5005] lr: 7.7836e-06 eta: 1:55:25 time: 0.0779 data_time: 0.0188 memory: 1684 loss: 1.3653 2023/04/03 04:11:38 - mmengine - INFO - Epoch(train) [83][4900/5005] lr: 7.7836e-06 eta: 1:55:17 time: 0.0781 data_time: 0.0184 memory: 1684 loss: 1.3124 2023/04/03 04:11:46 - mmengine - INFO - Epoch(train) [83][5000/5005] lr: 7.7836e-06 eta: 1:55:09 time: 0.0787 data_time: 0.0200 memory: 1684 loss: 1.3440 2023/04/03 04:11:47 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:11:47 - mmengine - INFO - Saving checkpoint at 83 epochs 2023/04/03 04:11:52 - mmengine - INFO - Epoch(val) [83][100/196] eta: 0:00:03 time: 0.0347 data_time: 0.0079 memory: 1684 2023/04/03 04:12:05 - mmengine - INFO - Epoch(val) [83][196/196] qat.accuracy/top1: 69.9280 qat.accuracy/top5: 89.2240data_time: 0.0200 time: 0.0439 2023/04/03 04:12:09 - mmengine - INFO - Epoch(val) [83][100/196] eta: 0:00:04 time: 0.0364 data_time: 0.0083 memory: 513 2023/04/03 04:12:22 - mmengine - INFO - Epoch(val) [83][196/196] qat.accuracy/top1: 69.8760 qat.accuracy/top5: 89.2440data_time: 0.0066 time: 0.0324 2023/04/03 04:12:26 - mmengine - INFO - Epoch(val) [83][100/196] eta: 0:00:03 time: 0.0238 data_time: 0.0131 memory: 470 2023/04/03 04:12:38 - mmengine - INFO - Epoch(val) [83][196/196] original.accuracy/top1: 69.8060 original.accuracy/top5: 89.2640data_time: 0.0295 time: 0.0396 2023/04/03 04:12:47 - mmengine - INFO - Epoch(train) [84][ 100/5005] lr: 6.9629e-06 eta: 1:55:01 time: 0.0851 data_time: 0.0240 memory: 1735 loss: 1.2281 2023/04/03 04:12:56 - mmengine - INFO - Epoch(train) [84][ 200/5005] lr: 6.9629e-06 eta: 1:54:53 time: 0.0986 data_time: 0.0218 memory: 1735 loss: 1.3009 2023/04/03 04:13:04 - mmengine - INFO - Epoch(train) [84][ 300/5005] lr: 6.9629e-06 eta: 1:54:45 time: 0.0781 data_time: 0.0178 memory: 1735 loss: 1.3391 2023/04/03 04:13:12 - mmengine - INFO - Epoch(train) [84][ 400/5005] lr: 6.9629e-06 eta: 1:54:36 time: 0.0910 data_time: 0.0177 memory: 1735 loss: 1.1859 2023/04/03 04:13:20 - mmengine - INFO - Epoch(train) [84][ 500/5005] lr: 6.9629e-06 eta: 1:54:28 time: 0.0785 data_time: 0.0184 memory: 1735 loss: 1.4380 2023/04/03 04:13:27 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:13:29 - mmengine - INFO - Epoch(train) [84][ 600/5005] lr: 6.9629e-06 eta: 1:54:20 time: 0.0834 data_time: 0.0186 memory: 1735 loss: 1.1621 2023/04/03 04:13:37 - mmengine - INFO - Epoch(train) [84][ 700/5005] lr: 6.9629e-06 eta: 1:54:12 time: 0.0947 data_time: 0.0179 memory: 1735 loss: 1.2651 2023/04/03 04:13:45 - mmengine - INFO - Epoch(train) [84][ 800/5005] lr: 6.9629e-06 eta: 1:54:04 time: 0.0780 data_time: 0.0177 memory: 1735 loss: 1.1980 2023/04/03 04:13:54 - mmengine - INFO - Epoch(train) [84][ 900/5005] lr: 6.9629e-06 eta: 1:53:56 time: 0.0930 data_time: 0.0177 memory: 1735 loss: 1.2620 2023/04/03 04:14:02 - mmengine - INFO - Epoch(train) [84][1000/5005] lr: 6.9629e-06 eta: 1:53:48 time: 0.0929 data_time: 0.0320 memory: 1735 loss: 1.1055 2023/04/03 04:14:11 - mmengine - INFO - Epoch(train) [84][1100/5005] lr: 6.9629e-06 eta: 1:53:40 time: 0.0815 data_time: 0.0175 memory: 1684 loss: 1.2581 2023/04/03 04:14:19 - mmengine - INFO - Epoch(train) [84][1200/5005] lr: 6.9629e-06 eta: 1:53:32 time: 0.0783 data_time: 0.0179 memory: 1684 loss: 1.1151 2023/04/03 04:14:27 - mmengine - INFO - Epoch(train) [84][1300/5005] lr: 6.9629e-06 eta: 1:53:24 time: 0.0777 data_time: 0.0180 memory: 1684 loss: 1.1644 2023/04/03 04:14:35 - mmengine - INFO - Epoch(train) [84][1400/5005] lr: 6.9629e-06 eta: 1:53:15 time: 0.0802 data_time: 0.0181 memory: 1684 loss: 1.1252 2023/04/03 04:14:43 - mmengine - INFO - Epoch(train) [84][1500/5005] lr: 6.9629e-06 eta: 1:53:07 time: 0.0761 data_time: 0.0179 memory: 1684 loss: 1.1944 2023/04/03 04:14:50 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:14:52 - mmengine - INFO - Epoch(train) [84][1600/5005] lr: 6.9629e-06 eta: 1:52:59 time: 0.0794 data_time: 0.0178 memory: 1684 loss: 1.2696 2023/04/03 04:15:00 - mmengine - INFO - Epoch(train) [84][1700/5005] lr: 6.9629e-06 eta: 1:52:51 time: 0.0873 data_time: 0.0185 memory: 1684 loss: 1.2702 2023/04/03 04:15:08 - mmengine - INFO - Epoch(train) [84][1800/5005] lr: 6.9629e-06 eta: 1:52:43 time: 0.0774 data_time: 0.0177 memory: 1684 loss: 1.2484 2023/04/03 04:15:17 - mmengine - INFO - Epoch(train) [84][1900/5005] lr: 6.9629e-06 eta: 1:52:35 time: 0.0935 data_time: 0.0179 memory: 1684 loss: 1.3058 2023/04/03 04:15:25 - mmengine - INFO - Epoch(train) [84][2000/5005] lr: 6.9629e-06 eta: 1:52:27 time: 0.0792 data_time: 0.0179 memory: 1684 loss: 1.1344 2023/04/03 04:15:33 - mmengine - INFO - Epoch(train) [84][2100/5005] lr: 6.9629e-06 eta: 1:52:19 time: 0.0827 data_time: 0.0179 memory: 1684 loss: 1.3075 2023/04/03 04:15:42 - mmengine - INFO - Epoch(train) [84][2200/5005] lr: 6.9629e-06 eta: 1:52:11 time: 0.0801 data_time: 0.0182 memory: 1684 loss: 1.2980 2023/04/03 04:15:50 - mmengine - INFO - Epoch(train) [84][2300/5005] lr: 6.9629e-06 eta: 1:52:02 time: 0.0903 data_time: 0.0179 memory: 1684 loss: 1.2732 2023/04/03 04:15:58 - mmengine - INFO - Epoch(train) [84][2400/5005] lr: 6.9629e-06 eta: 1:51:54 time: 0.0808 data_time: 0.0183 memory: 1684 loss: 1.1276 2023/04/03 04:16:07 - mmengine - INFO - Epoch(train) [84][2500/5005] lr: 6.9629e-06 eta: 1:51:46 time: 0.0808 data_time: 0.0181 memory: 1684 loss: 1.3809 2023/04/03 04:16:14 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:16:15 - mmengine - INFO - Epoch(train) [84][2600/5005] lr: 6.9629e-06 eta: 1:51:38 time: 0.0827 data_time: 0.0184 memory: 1684 loss: 1.2986 2023/04/03 04:16:24 - mmengine - INFO - Epoch(train) [84][2700/5005] lr: 6.9629e-06 eta: 1:51:30 time: 0.0885 data_time: 0.0181 memory: 1684 loss: 1.0938 2023/04/03 04:16:32 - mmengine - INFO - Epoch(train) [84][2800/5005] lr: 6.9629e-06 eta: 1:51:22 time: 0.0791 data_time: 0.0178 memory: 1684 loss: 1.1502 2023/04/03 04:16:40 - mmengine - INFO - Epoch(train) [84][2900/5005] lr: 6.9629e-06 eta: 1:51:14 time: 0.0775 data_time: 0.0177 memory: 1684 loss: 1.1068 2023/04/03 04:16:48 - mmengine - INFO - Epoch(train) [84][3000/5005] lr: 6.9629e-06 eta: 1:51:06 time: 0.0801 data_time: 0.0191 memory: 1684 loss: 1.3342 2023/04/03 04:16:57 - mmengine - INFO - Epoch(train) [84][3100/5005] lr: 6.9629e-06 eta: 1:50:58 time: 0.0803 data_time: 0.0181 memory: 1684 loss: 1.3845 2023/04/03 04:17:05 - mmengine - INFO - Epoch(train) [84][3200/5005] lr: 6.9629e-06 eta: 1:50:50 time: 0.0919 data_time: 0.0293 memory: 1684 loss: 1.0101 2023/04/03 04:17:14 - mmengine - INFO - Epoch(train) [84][3300/5005] lr: 6.9629e-06 eta: 1:50:41 time: 0.0777 data_time: 0.0188 memory: 1684 loss: 1.0190 2023/04/03 04:17:22 - mmengine - INFO - Epoch(train) [84][3400/5005] lr: 6.9629e-06 eta: 1:50:33 time: 0.0783 data_time: 0.0187 memory: 1684 loss: 1.1193 2023/04/03 04:17:30 - mmengine - INFO - Epoch(train) [84][3500/5005] lr: 6.9629e-06 eta: 1:50:25 time: 0.0795 data_time: 0.0185 memory: 1684 loss: 1.0519 2023/04/03 04:17:37 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:17:38 - mmengine - INFO - Epoch(train) [84][3600/5005] lr: 6.9629e-06 eta: 1:50:17 time: 0.0809 data_time: 0.0186 memory: 1684 loss: 1.3017 2023/04/03 04:17:47 - mmengine - INFO - Epoch(train) [84][3700/5005] lr: 6.9629e-06 eta: 1:50:09 time: 0.0863 data_time: 0.0180 memory: 1684 loss: 1.2228 2023/04/03 04:17:55 - mmengine - INFO - Epoch(train) [84][3800/5005] lr: 6.9629e-06 eta: 1:50:01 time: 0.0879 data_time: 0.0189 memory: 1684 loss: 0.9769 2023/04/03 04:18:03 - mmengine - INFO - Epoch(train) [84][3900/5005] lr: 6.9629e-06 eta: 1:49:53 time: 0.0774 data_time: 0.0180 memory: 1684 loss: 1.2555 2023/04/03 04:18:11 - mmengine - INFO - Epoch(train) [84][4000/5005] lr: 6.9629e-06 eta: 1:49:45 time: 0.0971 data_time: 0.0180 memory: 1684 loss: 1.1936 2023/04/03 04:18:20 - mmengine - INFO - Epoch(train) [84][4100/5005] lr: 6.9629e-06 eta: 1:49:36 time: 0.0798 data_time: 0.0181 memory: 1684 loss: 1.2536 2023/04/03 04:18:28 - mmengine - INFO - Epoch(train) [84][4200/5005] lr: 6.9629e-06 eta: 1:49:28 time: 0.0872 data_time: 0.0183 memory: 1684 loss: 1.1373 2023/04/03 04:18:36 - mmengine - INFO - Epoch(train) [84][4300/5005] lr: 6.9629e-06 eta: 1:49:20 time: 0.0975 data_time: 0.0299 memory: 1684 loss: 1.1134 2023/04/03 04:18:45 - mmengine - INFO - Epoch(train) [84][4400/5005] lr: 6.9629e-06 eta: 1:49:12 time: 0.0791 data_time: 0.0181 memory: 1684 loss: 1.1183 2023/04/03 04:18:53 - mmengine - INFO - Epoch(train) [84][4500/5005] lr: 6.9629e-06 eta: 1:49:04 time: 0.0819 data_time: 0.0183 memory: 1684 loss: 1.1868 2023/04/03 04:19:00 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:19:02 - mmengine - INFO - Epoch(train) [84][4600/5005] lr: 6.9629e-06 eta: 1:48:56 time: 0.0852 data_time: 0.0177 memory: 1684 loss: 1.0995 2023/04/03 04:19:10 - mmengine - INFO - Epoch(train) [84][4700/5005] lr: 6.9629e-06 eta: 1:48:48 time: 0.0782 data_time: 0.0189 memory: 1684 loss: 1.2337 2023/04/03 04:19:18 - mmengine - INFO - Epoch(train) [84][4800/5005] lr: 6.9629e-06 eta: 1:48:40 time: 0.0789 data_time: 0.0193 memory: 1684 loss: 1.2455 2023/04/03 04:19:27 - mmengine - INFO - Epoch(train) [84][4900/5005] lr: 6.9629e-06 eta: 1:48:32 time: 0.0818 data_time: 0.0200 memory: 1684 loss: 1.0790 2023/04/03 04:19:36 - mmengine - INFO - Epoch(train) [84][5000/5005] lr: 6.9629e-06 eta: 1:48:24 time: 0.0797 data_time: 0.0199 memory: 1684 loss: 1.3600 2023/04/03 04:19:36 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:19:36 - mmengine - INFO - Saving checkpoint at 84 epochs 2023/04/03 04:19:42 - mmengine - INFO - Epoch(val) [84][100/196] eta: 0:00:03 time: 0.0344 data_time: 0.0084 memory: 1684 2023/04/03 04:19:54 - mmengine - INFO - Epoch(val) [84][196/196] qat.accuracy/top1: 69.9380 qat.accuracy/top5: 89.2420data_time: 0.0071 time: 0.0312 2023/04/03 04:19:59 - mmengine - INFO - Epoch(val) [84][100/196] eta: 0:00:04 time: 0.0353 data_time: 0.0077 memory: 513 2023/04/03 04:20:12 - mmengine - INFO - Epoch(val) [84][196/196] qat.accuracy/top1: 69.8560 qat.accuracy/top5: 89.2220data_time: 0.0067 time: 0.0326 2023/04/03 04:20:15 - mmengine - INFO - Epoch(val) [84][100/196] eta: 0:00:02 time: 0.0255 data_time: 0.0146 memory: 470 2023/04/03 04:20:28 - mmengine - INFO - Epoch(val) [84][196/196] original.accuracy/top1: 69.7680 original.accuracy/top5: 89.2580data_time: 0.0313 time: 0.0417 2023/04/03 04:20:37 - mmengine - INFO - Epoch(train) [85][ 100/5005] lr: 6.1847e-06 eta: 1:48:15 time: 0.0810 data_time: 0.0187 memory: 1735 loss: 1.1854 2023/04/03 04:20:46 - mmengine - INFO - Epoch(train) [85][ 200/5005] lr: 6.1847e-06 eta: 1:48:07 time: 0.0820 data_time: 0.0198 memory: 1735 loss: 0.8873 2023/04/03 04:20:54 - mmengine - INFO - Epoch(train) [85][ 300/5005] lr: 6.1847e-06 eta: 1:47:59 time: 0.0811 data_time: 0.0177 memory: 1735 loss: 1.2173 2023/04/03 04:21:03 - mmengine - INFO - Epoch(train) [85][ 400/5005] lr: 6.1847e-06 eta: 1:47:51 time: 0.0800 data_time: 0.0196 memory: 1735 loss: 1.3806 2023/04/03 04:21:11 - mmengine - INFO - Epoch(train) [85][ 500/5005] lr: 6.1847e-06 eta: 1:47:43 time: 0.0792 data_time: 0.0183 memory: 1735 loss: 1.1109 2023/04/03 04:21:18 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:21:20 - mmengine - INFO - Epoch(train) [85][ 600/5005] lr: 6.1847e-06 eta: 1:47:35 time: 0.0775 data_time: 0.0181 memory: 1735 loss: 1.3105 2023/04/03 04:21:28 - mmengine - INFO - Epoch(train) [85][ 700/5005] lr: 6.1847e-06 eta: 1:47:27 time: 0.0816 data_time: 0.0178 memory: 1684 loss: 1.1420 2023/04/03 04:21:37 - mmengine - INFO - Epoch(train) [85][ 800/5005] lr: 6.1847e-06 eta: 1:47:19 time: 0.0885 data_time: 0.0178 memory: 1684 loss: 1.2779 2023/04/03 04:21:46 - mmengine - INFO - Epoch(train) [85][ 900/5005] lr: 6.1847e-06 eta: 1:47:11 time: 0.0781 data_time: 0.0173 memory: 1684 loss: 1.3341 2023/04/03 04:21:54 - mmengine - INFO - Epoch(train) [85][1000/5005] lr: 6.1847e-06 eta: 1:47:03 time: 0.0834 data_time: 0.0188 memory: 1684 loss: 1.2779 2023/04/03 04:22:02 - mmengine - INFO - Epoch(train) [85][1100/5005] lr: 6.1847e-06 eta: 1:46:55 time: 0.1079 data_time: 0.0289 memory: 1684 loss: 1.3026 2023/04/03 04:22:11 - mmengine - INFO - Epoch(train) [85][1200/5005] lr: 6.1847e-06 eta: 1:46:47 time: 0.0784 data_time: 0.0180 memory: 1684 loss: 1.2649 2023/04/03 04:22:19 - mmengine - INFO - Epoch(train) [85][1300/5005] lr: 6.1847e-06 eta: 1:46:39 time: 0.0790 data_time: 0.0182 memory: 1684 loss: 1.2875 2023/04/03 04:22:27 - mmengine - INFO - Epoch(train) [85][1400/5005] lr: 6.1847e-06 eta: 1:46:30 time: 0.0804 data_time: 0.0193 memory: 1684 loss: 1.2165 2023/04/03 04:22:35 - mmengine - INFO - Epoch(train) [85][1500/5005] lr: 6.1847e-06 eta: 1:46:22 time: 0.0810 data_time: 0.0186 memory: 1684 loss: 1.1701 2023/04/03 04:22:42 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:22:44 - mmengine - INFO - Epoch(train) [85][1600/5005] lr: 6.1847e-06 eta: 1:46:14 time: 0.0914 data_time: 0.0180 memory: 1684 loss: 1.3283 2023/04/03 04:22:53 - mmengine - INFO - Epoch(train) [85][1700/5005] lr: 6.1847e-06 eta: 1:46:06 time: 0.1165 data_time: 0.0288 memory: 1684 loss: 1.0037 2023/04/03 04:23:01 - mmengine - INFO - Epoch(train) [85][1800/5005] lr: 6.1847e-06 eta: 1:45:58 time: 0.0942 data_time: 0.0180 memory: 1684 loss: 1.1635 2023/04/03 04:23:09 - mmengine - INFO - Epoch(train) [85][1900/5005] lr: 6.1847e-06 eta: 1:45:50 time: 0.0773 data_time: 0.0180 memory: 1684 loss: 1.2616 2023/04/03 04:23:17 - mmengine - INFO - Epoch(train) [85][2000/5005] lr: 6.1847e-06 eta: 1:45:42 time: 0.0795 data_time: 0.0178 memory: 1684 loss: 1.3291 2023/04/03 04:23:25 - mmengine - INFO - Epoch(train) [85][2100/5005] lr: 6.1847e-06 eta: 1:45:34 time: 0.0812 data_time: 0.0181 memory: 1684 loss: 1.3269 2023/04/03 04:23:34 - mmengine - INFO - Epoch(train) [85][2200/5005] lr: 6.1847e-06 eta: 1:45:26 time: 0.0945 data_time: 0.0182 memory: 1684 loss: 1.2639 2023/04/03 04:23:42 - mmengine - INFO - Epoch(train) [85][2300/5005] lr: 6.1847e-06 eta: 1:45:18 time: 0.0784 data_time: 0.0182 memory: 1684 loss: 1.3273 2023/04/03 04:23:51 - mmengine - INFO - Epoch(train) [85][2400/5005] lr: 6.1847e-06 eta: 1:45:09 time: 0.0785 data_time: 0.0183 memory: 1684 loss: 1.2446 2023/04/03 04:23:59 - mmengine - INFO - Epoch(train) [85][2500/5005] lr: 6.1847e-06 eta: 1:45:01 time: 0.0926 data_time: 0.0181 memory: 1684 loss: 1.0915 2023/04/03 04:24:06 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:24:07 - mmengine - INFO - Epoch(train) [85][2600/5005] lr: 6.1847e-06 eta: 1:44:53 time: 0.0772 data_time: 0.0183 memory: 1684 loss: 1.2081 2023/04/03 04:24:15 - mmengine - INFO - Epoch(train) [85][2700/5005] lr: 6.1847e-06 eta: 1:44:45 time: 0.0775 data_time: 0.0180 memory: 1684 loss: 1.2759 2023/04/03 04:24:24 - mmengine - INFO - Epoch(train) [85][2800/5005] lr: 6.1847e-06 eta: 1:44:37 time: 0.0885 data_time: 0.0290 memory: 1684 loss: 1.1852 2023/04/03 04:24:32 - mmengine - INFO - Epoch(train) [85][2900/5005] lr: 6.1847e-06 eta: 1:44:29 time: 0.0774 data_time: 0.0181 memory: 1684 loss: 0.9477 2023/04/03 04:24:40 - mmengine - INFO - Epoch(train) [85][3000/5005] lr: 6.1847e-06 eta: 1:44:21 time: 0.0805 data_time: 0.0182 memory: 1684 loss: 1.2495 2023/04/03 04:24:48 - mmengine - INFO - Epoch(train) [85][3100/5005] lr: 6.1847e-06 eta: 1:44:12 time: 0.0792 data_time: 0.0178 memory: 1684 loss: 1.2963 2023/04/03 04:24:56 - mmengine - INFO - Epoch(train) [85][3200/5005] lr: 6.1847e-06 eta: 1:44:04 time: 0.0804 data_time: 0.0184 memory: 1684 loss: 1.3691 2023/04/03 04:25:04 - mmengine - INFO - Epoch(train) [85][3300/5005] lr: 6.1847e-06 eta: 1:43:56 time: 0.0822 data_time: 0.0180 memory: 1684 loss: 1.1553 2023/04/03 04:25:13 - mmengine - INFO - Epoch(train) [85][3400/5005] lr: 6.1847e-06 eta: 1:43:48 time: 0.0774 data_time: 0.0180 memory: 1684 loss: 1.2890 2023/04/03 04:25:21 - mmengine - INFO - Epoch(train) [85][3500/5005] lr: 6.1847e-06 eta: 1:43:40 time: 0.0789 data_time: 0.0188 memory: 1684 loss: 0.9516 2023/04/03 04:25:28 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:25:29 - mmengine - INFO - Epoch(train) [85][3600/5005] lr: 6.1847e-06 eta: 1:43:32 time: 0.0802 data_time: 0.0186 memory: 1684 loss: 1.3130 2023/04/03 04:25:37 - mmengine - INFO - Epoch(train) [85][3700/5005] lr: 6.1847e-06 eta: 1:43:24 time: 0.0789 data_time: 0.0179 memory: 1684 loss: 1.0712 2023/04/03 04:25:45 - mmengine - INFO - Epoch(train) [85][3800/5005] lr: 6.1847e-06 eta: 1:43:16 time: 0.0780 data_time: 0.0184 memory: 1684 loss: 1.1356 2023/04/03 04:25:54 - mmengine - INFO - Epoch(train) [85][3900/5005] lr: 6.1847e-06 eta: 1:43:07 time: 0.0809 data_time: 0.0182 memory: 1684 loss: 1.4806 2023/04/03 04:26:02 - mmengine - INFO - Epoch(train) [85][4000/5005] lr: 6.1847e-06 eta: 1:42:59 time: 0.0807 data_time: 0.0191 memory: 1684 loss: 1.1147 2023/04/03 04:26:10 - mmengine - INFO - Epoch(train) [85][4100/5005] lr: 6.1847e-06 eta: 1:42:51 time: 0.0772 data_time: 0.0172 memory: 1684 loss: 1.0695 2023/04/03 04:26:18 - mmengine - INFO - Epoch(train) [85][4200/5005] lr: 6.1847e-06 eta: 1:42:43 time: 0.0787 data_time: 0.0179 memory: 1684 loss: 1.4437 2023/04/03 04:26:26 - mmengine - INFO - Epoch(train) [85][4300/5005] lr: 6.1847e-06 eta: 1:42:35 time: 0.0767 data_time: 0.0180 memory: 1684 loss: 1.2649 2023/04/03 04:26:34 - mmengine - INFO - Epoch(train) [85][4400/5005] lr: 6.1847e-06 eta: 1:42:27 time: 0.0801 data_time: 0.0182 memory: 1684 loss: 1.0188 2023/04/03 04:26:43 - mmengine - INFO - Epoch(train) [85][4500/5005] lr: 6.1847e-06 eta: 1:42:19 time: 0.1144 data_time: 0.0180 memory: 1684 loss: 1.2585 2023/04/03 04:26:49 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:26:51 - mmengine - INFO - Epoch(train) [85][4600/5005] lr: 6.1847e-06 eta: 1:42:10 time: 0.0807 data_time: 0.0183 memory: 1684 loss: 1.2644 2023/04/03 04:26:59 - mmengine - INFO - Epoch(train) [85][4700/5005] lr: 6.1847e-06 eta: 1:42:02 time: 0.0828 data_time: 0.0175 memory: 1684 loss: 1.1790 2023/04/03 04:27:07 - mmengine - INFO - Epoch(train) [85][4800/5005] lr: 6.1847e-06 eta: 1:41:54 time: 0.0788 data_time: 0.0181 memory: 1684 loss: 1.1150 2023/04/03 04:27:15 - mmengine - INFO - Epoch(train) [85][4900/5005] lr: 6.1847e-06 eta: 1:41:46 time: 0.0777 data_time: 0.0179 memory: 1684 loss: 1.1367 2023/04/03 04:27:23 - mmengine - INFO - Epoch(train) [85][5000/5005] lr: 6.1847e-06 eta: 1:41:38 time: 0.0806 data_time: 0.0184 memory: 1684 loss: 1.2865 2023/04/03 04:27:24 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:27:24 - mmengine - INFO - Saving checkpoint at 85 epochs 2023/04/03 04:27:29 - mmengine - INFO - Epoch(val) [85][100/196] eta: 0:00:03 time: 0.0351 data_time: 0.0084 memory: 1684 2023/04/03 04:27:42 - mmengine - INFO - Epoch(val) [85][196/196] qat.accuracy/top1: 69.9400 qat.accuracy/top5: 89.3260data_time: 0.0088 time: 0.0319 2023/04/03 04:27:46 - mmengine - INFO - Epoch(val) [85][100/196] eta: 0:00:03 time: 0.0368 data_time: 0.0085 memory: 513 2023/04/03 04:28:00 - mmengine - INFO - Epoch(val) [85][196/196] qat.accuracy/top1: 69.8720 qat.accuracy/top5: 89.2200data_time: 0.0071 time: 0.0335 2023/04/03 04:28:03 - mmengine - INFO - Epoch(val) [85][100/196] eta: 0:00:02 time: 0.0262 data_time: 0.0154 memory: 470 2023/04/03 04:28:15 - mmengine - INFO - Epoch(val) [85][196/196] original.accuracy/top1: 69.8040 original.accuracy/top5: 89.2440data_time: 0.0268 time: 0.0370 2023/04/03 04:28:24 - mmengine - INFO - Epoch(train) [86][ 100/5005] lr: 5.4497e-06 eta: 1:41:30 time: 0.0788 data_time: 0.0188 memory: 1735 loss: 1.0945 2023/04/03 04:28:33 - mmengine - INFO - Epoch(train) [86][ 200/5005] lr: 5.4497e-06 eta: 1:41:22 time: 0.0794 data_time: 0.0192 memory: 1735 loss: 1.2739 2023/04/03 04:28:42 - mmengine - INFO - Epoch(train) [86][ 300/5005] lr: 5.4497e-06 eta: 1:41:13 time: 0.0806 data_time: 0.0181 memory: 1735 loss: 1.1905 2023/04/03 04:28:50 - mmengine - INFO - Epoch(train) [86][ 400/5005] lr: 5.4497e-06 eta: 1:41:05 time: 0.0787 data_time: 0.0194 memory: 1735 loss: 1.3567 2023/04/03 04:28:59 - mmengine - INFO - Epoch(train) [86][ 500/5005] lr: 5.4497e-06 eta: 1:40:57 time: 0.0775 data_time: 0.0182 memory: 1735 loss: 1.3664 2023/04/03 04:29:05 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:29:08 - mmengine - INFO - Epoch(train) [86][ 600/5005] lr: 5.4497e-06 eta: 1:40:49 time: 0.0914 data_time: 0.0182 memory: 1735 loss: 1.1641 2023/04/03 04:29:16 - mmengine - INFO - Epoch(train) [86][ 700/5005] lr: 5.4497e-06 eta: 1:40:41 time: 0.0774 data_time: 0.0180 memory: 1735 loss: 1.2068 2023/04/03 04:29:24 - mmengine - INFO - Epoch(train) [86][ 800/5005] lr: 5.4497e-06 eta: 1:40:33 time: 0.0907 data_time: 0.0181 memory: 1735 loss: 1.1334 2023/04/03 04:29:33 - mmengine - INFO - Epoch(train) [86][ 900/5005] lr: 5.4497e-06 eta: 1:40:25 time: 0.0809 data_time: 0.0180 memory: 1735 loss: 1.4316 2023/04/03 04:29:42 - mmengine - INFO - Epoch(train) [86][1000/5005] lr: 5.4497e-06 eta: 1:40:17 time: 0.0947 data_time: 0.0179 memory: 1735 loss: 1.3707 2023/04/03 04:29:50 - mmengine - INFO - Epoch(train) [86][1100/5005] lr: 5.4497e-06 eta: 1:40:09 time: 0.0792 data_time: 0.0180 memory: 1735 loss: 1.0786 2023/04/03 04:29:58 - mmengine - INFO - Epoch(train) [86][1200/5005] lr: 5.4497e-06 eta: 1:40:01 time: 0.0788 data_time: 0.0179 memory: 1684 loss: 1.3847 2023/04/03 04:30:07 - mmengine - INFO - Epoch(train) [86][1300/5005] lr: 5.4497e-06 eta: 1:39:53 time: 0.0805 data_time: 0.0182 memory: 1684 loss: 1.1059 2023/04/03 04:30:15 - mmengine - INFO - Epoch(train) [86][1400/5005] lr: 5.4497e-06 eta: 1:39:45 time: 0.0803 data_time: 0.0178 memory: 1684 loss: 1.0250 2023/04/03 04:30:24 - mmengine - INFO - Epoch(train) [86][1500/5005] lr: 5.4497e-06 eta: 1:39:37 time: 0.0773 data_time: 0.0176 memory: 1684 loss: 1.1435 2023/04/03 04:30:30 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:30:32 - mmengine - INFO - Epoch(train) [86][1600/5005] lr: 5.4497e-06 eta: 1:39:28 time: 0.0896 data_time: 0.0295 memory: 1684 loss: 1.2335 2023/04/03 04:30:40 - mmengine - INFO - Epoch(train) [86][1700/5005] lr: 5.4497e-06 eta: 1:39:20 time: 0.0780 data_time: 0.0182 memory: 1684 loss: 1.2180 2023/04/03 04:30:49 - mmengine - INFO - Epoch(train) [86][1800/5005] lr: 5.4497e-06 eta: 1:39:12 time: 0.0799 data_time: 0.0194 memory: 1684 loss: 1.1450 2023/04/03 04:30:57 - mmengine - INFO - Epoch(train) [86][1900/5005] lr: 5.4497e-06 eta: 1:39:04 time: 0.0931 data_time: 0.0179 memory: 1684 loss: 1.2788 2023/04/03 04:31:06 - mmengine - INFO - Epoch(train) [86][2000/5005] lr: 5.4497e-06 eta: 1:38:56 time: 0.0924 data_time: 0.0180 memory: 1684 loss: 1.1562 2023/04/03 04:31:14 - mmengine - INFO - Epoch(train) [86][2100/5005] lr: 5.4497e-06 eta: 1:38:48 time: 0.0808 data_time: 0.0179 memory: 1684 loss: 1.0316 2023/04/03 04:31:23 - mmengine - INFO - Epoch(train) [86][2200/5005] lr: 5.4497e-06 eta: 1:38:40 time: 0.0800 data_time: 0.0184 memory: 1684 loss: 1.1512 2023/04/03 04:31:31 - mmengine - INFO - Epoch(train) [86][2300/5005] lr: 5.4497e-06 eta: 1:38:32 time: 0.0814 data_time: 0.0189 memory: 1684 loss: 1.2964 2023/04/03 04:31:39 - mmengine - INFO - Epoch(train) [86][2400/5005] lr: 5.4497e-06 eta: 1:38:24 time: 0.0790 data_time: 0.0192 memory: 1684 loss: 1.3194 2023/04/03 04:31:48 - mmengine - INFO - Epoch(train) [86][2500/5005] lr: 5.4497e-06 eta: 1:38:16 time: 0.0790 data_time: 0.0178 memory: 1684 loss: 1.1965 2023/04/03 04:31:54 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:31:56 - mmengine - INFO - Epoch(train) [86][2600/5005] lr: 5.4497e-06 eta: 1:38:07 time: 0.0831 data_time: 0.0179 memory: 1684 loss: 1.2306 2023/04/03 04:32:04 - mmengine - INFO - Epoch(train) [86][2700/5005] lr: 5.4497e-06 eta: 1:37:59 time: 0.0875 data_time: 0.0266 memory: 1684 loss: 1.2095 2023/04/03 04:32:13 - mmengine - INFO - Epoch(train) [86][2800/5005] lr: 5.4497e-06 eta: 1:37:51 time: 0.0819 data_time: 0.0179 memory: 1684 loss: 1.0545 2023/04/03 04:32:21 - mmengine - INFO - Epoch(train) [86][2900/5005] lr: 5.4497e-06 eta: 1:37:43 time: 0.0799 data_time: 0.0185 memory: 1684 loss: 1.3250 2023/04/03 04:32:29 - mmengine - INFO - Epoch(train) [86][3000/5005] lr: 5.4497e-06 eta: 1:37:35 time: 0.0868 data_time: 0.0193 memory: 1684 loss: 1.1300 2023/04/03 04:32:38 - mmengine - INFO - Epoch(train) [86][3100/5005] lr: 5.4497e-06 eta: 1:37:27 time: 0.0771 data_time: 0.0180 memory: 1684 loss: 1.0952 2023/04/03 04:32:46 - mmengine - INFO - Epoch(train) [86][3200/5005] lr: 5.4497e-06 eta: 1:37:19 time: 0.0790 data_time: 0.0181 memory: 1684 loss: 1.3086 2023/04/03 04:32:54 - mmengine - INFO - Epoch(train) [86][3300/5005] lr: 5.4497e-06 eta: 1:37:11 time: 0.0879 data_time: 0.0180 memory: 1684 loss: 1.2814 2023/04/03 04:33:02 - mmengine - INFO - Epoch(train) [86][3400/5005] lr: 5.4497e-06 eta: 1:37:02 time: 0.0788 data_time: 0.0181 memory: 1684 loss: 1.0997 2023/04/03 04:33:10 - mmengine - INFO - Epoch(train) [86][3500/5005] lr: 5.4497e-06 eta: 1:36:54 time: 0.0780 data_time: 0.0179 memory: 1684 loss: 1.2132 2023/04/03 04:33:17 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:33:19 - mmengine - INFO - Epoch(train) [86][3600/5005] lr: 5.4497e-06 eta: 1:36:46 time: 0.0790 data_time: 0.0181 memory: 1684 loss: 1.1343 2023/04/03 04:33:27 - mmengine - INFO - Epoch(train) [86][3700/5005] lr: 5.4497e-06 eta: 1:36:38 time: 0.0785 data_time: 0.0180 memory: 1684 loss: 1.4496 2023/04/03 04:33:35 - mmengine - INFO - Epoch(train) [86][3800/5005] lr: 5.4497e-06 eta: 1:36:30 time: 0.0812 data_time: 0.0177 memory: 1684 loss: 1.3618 2023/04/03 04:33:43 - mmengine - INFO - Epoch(train) [86][3900/5005] lr: 5.4497e-06 eta: 1:36:22 time: 0.0775 data_time: 0.0181 memory: 1684 loss: 1.3096 2023/04/03 04:33:51 - mmengine - INFO - Epoch(train) [86][4000/5005] lr: 5.4497e-06 eta: 1:36:14 time: 0.0785 data_time: 0.0180 memory: 1684 loss: 1.1368 2023/04/03 04:33:59 - mmengine - INFO - Epoch(train) [86][4100/5005] lr: 5.4497e-06 eta: 1:36:06 time: 0.0767 data_time: 0.0178 memory: 1684 loss: 0.9850 2023/04/03 04:34:08 - mmengine - INFO - Epoch(train) [86][4200/5005] lr: 5.4497e-06 eta: 1:35:57 time: 0.0798 data_time: 0.0180 memory: 1684 loss: 1.3701 2023/04/03 04:34:16 - mmengine - INFO - Epoch(train) [86][4300/5005] lr: 5.4497e-06 eta: 1:35:49 time: 0.0791 data_time: 0.0180 memory: 1684 loss: 1.0931 2023/04/03 04:34:24 - mmengine - INFO - Epoch(train) [86][4400/5005] lr: 5.4497e-06 eta: 1:35:41 time: 0.0822 data_time: 0.0184 memory: 1684 loss: 1.2651 2023/04/03 04:34:32 - mmengine - INFO - Epoch(train) [86][4500/5005] lr: 5.4497e-06 eta: 1:35:33 time: 0.0783 data_time: 0.0181 memory: 1684 loss: 1.2112 2023/04/03 04:34:38 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:34:41 - mmengine - INFO - Epoch(train) [86][4600/5005] lr: 5.4497e-06 eta: 1:35:25 time: 0.0829 data_time: 0.0184 memory: 1684 loss: 1.2255 2023/04/03 04:34:49 - mmengine - INFO - Epoch(train) [86][4700/5005] lr: 5.4497e-06 eta: 1:35:17 time: 0.0793 data_time: 0.0183 memory: 1684 loss: 1.3524 2023/04/03 04:34:57 - mmengine - INFO - Epoch(train) [86][4800/5005] lr: 5.4497e-06 eta: 1:35:09 time: 0.0856 data_time: 0.0180 memory: 1684 loss: 1.1455 2023/04/03 04:35:05 - mmengine - INFO - Epoch(train) [86][4900/5005] lr: 5.4497e-06 eta: 1:35:01 time: 0.0777 data_time: 0.0167 memory: 1684 loss: 1.0069 2023/04/03 04:35:14 - mmengine - INFO - Epoch(train) [86][5000/5005] lr: 5.4497e-06 eta: 1:34:52 time: 0.0812 data_time: 0.0189 memory: 1684 loss: 1.2352 2023/04/03 04:35:14 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:35:14 - mmengine - INFO - Saving checkpoint at 86 epochs 2023/04/03 04:35:20 - mmengine - INFO - Epoch(val) [86][100/196] eta: 0:00:03 time: 0.0334 data_time: 0.0075 memory: 1684 2023/04/03 04:35:32 - mmengine - INFO - Epoch(val) [86][196/196] qat.accuracy/top1: 69.9720 qat.accuracy/top5: 89.2620data_time: 0.0064 time: 0.0298 2023/04/03 04:35:37 - mmengine - INFO - Epoch(val) [86][100/196] eta: 0:00:03 time: 0.0362 data_time: 0.0083 memory: 513 2023/04/03 04:35:50 - mmengine - INFO - Epoch(val) [86][196/196] qat.accuracy/top1: 69.9760 qat.accuracy/top5: 89.2980data_time: 0.0070 time: 0.0332 2023/04/03 04:35:53 - mmengine - INFO - Epoch(val) [86][100/196] eta: 0:00:02 time: 0.0240 data_time: 0.0130 memory: 470 2023/04/03 04:36:05 - mmengine - INFO - Epoch(val) [86][196/196] original.accuracy/top1: 69.8140 original.accuracy/top5: 89.2640data_time: 0.0344 time: 0.0444 2023/04/03 04:36:15 - mmengine - INFO - Epoch(train) [87][ 100/5005] lr: 4.7586e-06 eta: 1:34:44 time: 0.0986 data_time: 0.0181 memory: 1735 loss: 1.1658 2023/04/03 04:36:23 - mmengine - INFO - Epoch(train) [87][ 200/5005] lr: 4.7586e-06 eta: 1:34:36 time: 0.0849 data_time: 0.0191 memory: 1735 loss: 1.0844 2023/04/03 04:36:32 - mmengine - INFO - Epoch(train) [87][ 300/5005] lr: 4.7586e-06 eta: 1:34:28 time: 0.1079 data_time: 0.0177 memory: 1735 loss: 1.2610 2023/04/03 04:36:42 - mmengine - INFO - Epoch(train) [87][ 400/5005] lr: 4.7586e-06 eta: 1:34:20 time: 0.0781 data_time: 0.0180 memory: 1735 loss: 1.2734 2023/04/03 04:36:50 - mmengine - INFO - Epoch(train) [87][ 500/5005] lr: 4.7586e-06 eta: 1:34:12 time: 0.0779 data_time: 0.0178 memory: 1735 loss: 1.1053 2023/04/03 04:36:56 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:36:58 - mmengine - INFO - Epoch(train) [87][ 600/5005] lr: 4.7586e-06 eta: 1:34:04 time: 0.0822 data_time: 0.0182 memory: 1735 loss: 1.3246 2023/04/03 04:37:07 - mmengine - INFO - Epoch(train) [87][ 700/5005] lr: 4.7586e-06 eta: 1:33:56 time: 0.0800 data_time: 0.0180 memory: 1684 loss: 1.0749 2023/04/03 04:37:15 - mmengine - INFO - Epoch(train) [87][ 800/5005] lr: 4.7586e-06 eta: 1:33:48 time: 0.0938 data_time: 0.0178 memory: 1684 loss: 1.2532 2023/04/03 04:37:24 - mmengine - INFO - Epoch(train) [87][ 900/5005] lr: 4.7586e-06 eta: 1:33:40 time: 0.0789 data_time: 0.0179 memory: 1684 loss: 1.2251 2023/04/03 04:37:32 - mmengine - INFO - Epoch(train) [87][1000/5005] lr: 4.7586e-06 eta: 1:33:32 time: 0.0784 data_time: 0.0181 memory: 1684 loss: 1.3337 2023/04/03 04:37:41 - mmengine - INFO - Epoch(train) [87][1100/5005] lr: 4.7586e-06 eta: 1:33:23 time: 0.0800 data_time: 0.0183 memory: 1684 loss: 1.3128 2023/04/03 04:37:49 - mmengine - INFO - Epoch(train) [87][1200/5005] lr: 4.7586e-06 eta: 1:33:15 time: 0.0794 data_time: 0.0179 memory: 1684 loss: 1.1789 2023/04/03 04:37:58 - mmengine - INFO - Epoch(train) [87][1300/5005] lr: 4.7586e-06 eta: 1:33:07 time: 0.0824 data_time: 0.0181 memory: 1684 loss: 1.1359 2023/04/03 04:38:06 - mmengine - INFO - Epoch(train) [87][1400/5005] lr: 4.7586e-06 eta: 1:32:59 time: 0.0802 data_time: 0.0182 memory: 1684 loss: 1.1793 2023/04/03 04:38:15 - mmengine - INFO - Epoch(train) [87][1500/5005] lr: 4.7586e-06 eta: 1:32:51 time: 0.0786 data_time: 0.0181 memory: 1684 loss: 1.2797 2023/04/03 04:38:21 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:38:23 - mmengine - INFO - Epoch(train) [87][1600/5005] lr: 4.7586e-06 eta: 1:32:43 time: 0.0812 data_time: 0.0178 memory: 1684 loss: 1.3136 2023/04/03 04:38:32 - mmengine - INFO - Epoch(train) [87][1700/5005] lr: 4.7586e-06 eta: 1:32:35 time: 0.0809 data_time: 0.0177 memory: 1684 loss: 1.2571 2023/04/03 04:38:40 - mmengine - INFO - Epoch(train) [87][1800/5005] lr: 4.7586e-06 eta: 1:32:27 time: 0.0796 data_time: 0.0179 memory: 1684 loss: 1.1397 2023/04/03 04:38:49 - mmengine - INFO - Epoch(train) [87][1900/5005] lr: 4.7586e-06 eta: 1:32:19 time: 0.0814 data_time: 0.0179 memory: 1684 loss: 1.1340 2023/04/03 04:38:57 - mmengine - INFO - Epoch(train) [87][2000/5005] lr: 4.7586e-06 eta: 1:32:11 time: 0.0949 data_time: 0.0181 memory: 1684 loss: 1.1219 2023/04/03 04:39:05 - mmengine - INFO - Epoch(train) [87][2100/5005] lr: 4.7586e-06 eta: 1:32:02 time: 0.0777 data_time: 0.0183 memory: 1684 loss: 1.1435 2023/04/03 04:39:13 - mmengine - INFO - Epoch(train) [87][2200/5005] lr: 4.7586e-06 eta: 1:31:54 time: 0.0781 data_time: 0.0183 memory: 1684 loss: 1.1121 2023/04/03 04:39:22 - mmengine - INFO - Epoch(train) [87][2300/5005] lr: 4.7586e-06 eta: 1:31:46 time: 0.0930 data_time: 0.0183 memory: 1684 loss: 1.2944 2023/04/03 04:39:30 - mmengine - INFO - Epoch(train) [87][2400/5005] lr: 4.7586e-06 eta: 1:31:38 time: 0.0797 data_time: 0.0172 memory: 1684 loss: 1.1103 2023/04/03 04:39:38 - mmengine - INFO - Epoch(train) [87][2500/5005] lr: 4.7586e-06 eta: 1:31:30 time: 0.0791 data_time: 0.0179 memory: 1684 loss: 1.1182 2023/04/03 04:39:44 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:39:47 - mmengine - INFO - Epoch(train) [87][2600/5005] lr: 4.7586e-06 eta: 1:31:22 time: 0.0787 data_time: 0.0179 memory: 1684 loss: 1.2600 2023/04/03 04:39:55 - mmengine - INFO - Epoch(train) [87][2700/5005] lr: 4.7586e-06 eta: 1:31:14 time: 0.0801 data_time: 0.0179 memory: 1684 loss: 0.8594 2023/04/03 04:40:04 - mmengine - INFO - Epoch(train) [87][2800/5005] lr: 4.7586e-06 eta: 1:31:06 time: 0.0783 data_time: 0.0184 memory: 1684 loss: 0.9910 2023/04/03 04:40:12 - mmengine - INFO - Epoch(train) [87][2900/5005] lr: 4.7586e-06 eta: 1:30:58 time: 0.0852 data_time: 0.0186 memory: 1684 loss: 1.2001 2023/04/03 04:40:20 - mmengine - INFO - Epoch(train) [87][3000/5005] lr: 4.7586e-06 eta: 1:30:49 time: 0.0884 data_time: 0.0179 memory: 1684 loss: 1.3725 2023/04/03 04:40:28 - mmengine - INFO - Epoch(train) [87][3100/5005] lr: 4.7586e-06 eta: 1:30:41 time: 0.0778 data_time: 0.0179 memory: 1684 loss: 1.1288 2023/04/03 04:40:37 - mmengine - INFO - Epoch(train) [87][3200/5005] lr: 4.7586e-06 eta: 1:30:33 time: 0.0925 data_time: 0.0179 memory: 1684 loss: 1.2844 2023/04/03 04:40:45 - mmengine - INFO - Epoch(train) [87][3300/5005] lr: 4.7586e-06 eta: 1:30:25 time: 0.0772 data_time: 0.0180 memory: 1684 loss: 1.2204 2023/04/03 04:40:53 - mmengine - INFO - Epoch(train) [87][3400/5005] lr: 4.7586e-06 eta: 1:30:17 time: 0.0785 data_time: 0.0179 memory: 1684 loss: 1.2252 2023/04/03 04:41:02 - mmengine - INFO - Epoch(train) [87][3500/5005] lr: 4.7586e-06 eta: 1:30:09 time: 0.0784 data_time: 0.0178 memory: 1684 loss: 1.3418 2023/04/03 04:41:07 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:41:10 - mmengine - INFO - Epoch(train) [87][3600/5005] lr: 4.7586e-06 eta: 1:30:01 time: 0.0776 data_time: 0.0181 memory: 1684 loss: 1.1519 2023/04/03 04:41:18 - mmengine - INFO - Epoch(train) [87][3700/5005] lr: 4.7586e-06 eta: 1:29:53 time: 0.0923 data_time: 0.0197 memory: 1684 loss: 1.1836 2023/04/03 04:41:27 - mmengine - INFO - Epoch(train) [87][3800/5005] lr: 4.7586e-06 eta: 1:29:45 time: 0.0800 data_time: 0.0180 memory: 1684 loss: 1.0605 2023/04/03 04:41:35 - mmengine - INFO - Epoch(train) [87][3900/5005] lr: 4.7586e-06 eta: 1:29:36 time: 0.0806 data_time: 0.0183 memory: 1684 loss: 1.1341 2023/04/03 04:41:44 - mmengine - INFO - Epoch(train) [87][4000/5005] lr: 4.7586e-06 eta: 1:29:28 time: 0.0817 data_time: 0.0178 memory: 1684 loss: 1.0176 2023/04/03 04:41:52 - mmengine - INFO - Epoch(train) [87][4100/5005] lr: 4.7586e-06 eta: 1:29:20 time: 0.0792 data_time: 0.0178 memory: 1684 loss: 1.2237 2023/04/03 04:42:00 - mmengine - INFO - Epoch(train) [87][4200/5005] lr: 4.7586e-06 eta: 1:29:12 time: 0.0805 data_time: 0.0179 memory: 1684 loss: 1.2706 2023/04/03 04:42:09 - mmengine - INFO - Epoch(train) [87][4300/5005] lr: 4.7586e-06 eta: 1:29:04 time: 0.0944 data_time: 0.0183 memory: 1684 loss: 1.1069 2023/04/03 04:42:17 - mmengine - INFO - Epoch(train) [87][4400/5005] lr: 4.7586e-06 eta: 1:28:56 time: 0.0809 data_time: 0.0181 memory: 1684 loss: 1.2322 2023/04/03 04:42:25 - mmengine - INFO - Epoch(train) [87][4500/5005] lr: 4.7586e-06 eta: 1:28:48 time: 0.0778 data_time: 0.0180 memory: 1684 loss: 1.2863 2023/04/03 04:42:30 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:42:33 - mmengine - INFO - Epoch(train) [87][4600/5005] lr: 4.7586e-06 eta: 1:28:40 time: 0.0801 data_time: 0.0181 memory: 1684 loss: 1.1806 2023/04/03 04:42:41 - mmengine - INFO - Epoch(train) [87][4700/5005] lr: 4.7586e-06 eta: 1:28:31 time: 0.0808 data_time: 0.0184 memory: 1684 loss: 1.2825 2023/04/03 04:42:49 - mmengine - INFO - Epoch(train) [87][4800/5005] lr: 4.7586e-06 eta: 1:28:23 time: 0.0900 data_time: 0.0181 memory: 1684 loss: 1.2860 2023/04/03 04:42:58 - mmengine - INFO - Epoch(train) [87][4900/5005] lr: 4.7586e-06 eta: 1:28:15 time: 0.0793 data_time: 0.0184 memory: 1684 loss: 1.2151 2023/04/03 04:43:06 - mmengine - INFO - Epoch(train) [87][5000/5005] lr: 4.7586e-06 eta: 1:28:07 time: 0.0830 data_time: 0.0193 memory: 1684 loss: 1.1855 2023/04/03 04:43:06 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:43:06 - mmengine - INFO - Saving checkpoint at 87 epochs 2023/04/03 04:43:13 - mmengine - INFO - Epoch(val) [87][100/196] eta: 0:00:04 time: 0.0331 data_time: 0.0076 memory: 1684 2023/04/03 04:43:26 - mmengine - INFO - Epoch(val) [87][196/196] qat.accuracy/top1: 70.0340 qat.accuracy/top5: 89.3040data_time: 0.0092 time: 0.0333 2023/04/03 04:43:30 - mmengine - INFO - Epoch(val) [87][100/196] eta: 0:00:03 time: 0.0373 data_time: 0.0084 memory: 513 2023/04/03 04:43:44 - mmengine - INFO - Epoch(val) [87][196/196] qat.accuracy/top1: 69.9540 qat.accuracy/top5: 89.2380data_time: 0.0077 time: 0.0343 2023/04/03 04:43:47 - mmengine - INFO - Epoch(val) [87][100/196] eta: 0:00:02 time: 0.0240 data_time: 0.0136 memory: 470 2023/04/03 04:44:00 - mmengine - INFO - Epoch(val) [87][196/196] original.accuracy/top1: 69.7340 original.accuracy/top5: 89.2720data_time: 0.0293 time: 0.0398 2023/04/03 04:44:09 - mmengine - INFO - Epoch(train) [88][ 100/5005] lr: 4.1123e-06 eta: 1:27:59 time: 0.0916 data_time: 0.0178 memory: 1735 loss: 1.0289 2023/04/03 04:44:17 - mmengine - INFO - Epoch(train) [88][ 200/5005] lr: 4.1123e-06 eta: 1:27:51 time: 0.0952 data_time: 0.0177 memory: 1735 loss: 1.2704 2023/04/03 04:44:26 - mmengine - INFO - Epoch(train) [88][ 300/5005] lr: 4.1123e-06 eta: 1:27:42 time: 0.0791 data_time: 0.0190 memory: 1735 loss: 1.2372 2023/04/03 04:44:34 - mmengine - INFO - Epoch(train) [88][ 400/5005] lr: 4.1123e-06 eta: 1:27:34 time: 0.0776 data_time: 0.0184 memory: 1735 loss: 1.2043 2023/04/03 04:44:42 - mmengine - INFO - Epoch(train) [88][ 500/5005] lr: 4.1123e-06 eta: 1:27:26 time: 0.1052 data_time: 0.0175 memory: 1735 loss: 1.2979 2023/04/03 04:44:47 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:44:50 - mmengine - INFO - Epoch(train) [88][ 600/5005] lr: 4.1123e-06 eta: 1:27:18 time: 0.0793 data_time: 0.0179 memory: 1735 loss: 1.2364 2023/04/03 04:44:58 - mmengine - INFO - Epoch(train) [88][ 700/5005] lr: 4.1123e-06 eta: 1:27:10 time: 0.0755 data_time: 0.0181 memory: 1735 loss: 1.0759 2023/04/03 04:45:07 - mmengine - INFO - Epoch(train) [88][ 800/5005] lr: 4.1123e-06 eta: 1:27:02 time: 0.1210 data_time: 0.0188 memory: 1735 loss: 1.1192 2023/04/03 04:45:15 - mmengine - INFO - Epoch(train) [88][ 900/5005] lr: 4.1123e-06 eta: 1:26:54 time: 0.0810 data_time: 0.0198 memory: 1735 loss: 1.0279 2023/04/03 04:45:24 - mmengine - INFO - Epoch(train) [88][1000/5005] lr: 4.1123e-06 eta: 1:26:46 time: 0.0791 data_time: 0.0197 memory: 1735 loss: 1.2662 2023/04/03 04:45:32 - mmengine - INFO - Epoch(train) [88][1100/5005] lr: 4.1123e-06 eta: 1:26:38 time: 0.0912 data_time: 0.0190 memory: 1735 loss: 1.1540 2023/04/03 04:45:41 - mmengine - INFO - Epoch(train) [88][1200/5005] lr: 4.1123e-06 eta: 1:26:29 time: 0.0804 data_time: 0.0179 memory: 1684 loss: 1.2291 2023/04/03 04:45:49 - mmengine - INFO - Epoch(train) [88][1300/5005] lr: 4.1123e-06 eta: 1:26:21 time: 0.0767 data_time: 0.0191 memory: 1684 loss: 0.9569 2023/04/03 04:45:57 - mmengine - INFO - Epoch(train) [88][1400/5005] lr: 4.1123e-06 eta: 1:26:13 time: 0.0785 data_time: 0.0189 memory: 1684 loss: 1.2587 2023/04/03 04:46:05 - mmengine - INFO - Epoch(train) [88][1500/5005] lr: 4.1123e-06 eta: 1:26:05 time: 0.0940 data_time: 0.0345 memory: 1684 loss: 1.1470 2023/04/03 04:46:10 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:46:13 - mmengine - INFO - Epoch(train) [88][1600/5005] lr: 4.1123e-06 eta: 1:25:57 time: 0.0976 data_time: 0.0373 memory: 1684 loss: 1.1712 2023/04/03 04:46:22 - mmengine - INFO - Epoch(train) [88][1700/5005] lr: 4.1123e-06 eta: 1:25:49 time: 0.0932 data_time: 0.0185 memory: 1684 loss: 1.2411 2023/04/03 04:46:30 - mmengine - INFO - Epoch(train) [88][1800/5005] lr: 4.1123e-06 eta: 1:25:41 time: 0.0802 data_time: 0.0191 memory: 1684 loss: 1.1843 2023/04/03 04:46:38 - mmengine - INFO - Epoch(train) [88][1900/5005] lr: 4.1123e-06 eta: 1:25:33 time: 0.0922 data_time: 0.0188 memory: 1684 loss: 1.2007 2023/04/03 04:46:47 - mmengine - INFO - Epoch(train) [88][2000/5005] lr: 4.1123e-06 eta: 1:25:24 time: 0.0780 data_time: 0.0185 memory: 1684 loss: 1.4020 2023/04/03 04:46:55 - mmengine - INFO - Epoch(train) [88][2100/5005] lr: 4.1123e-06 eta: 1:25:16 time: 0.0766 data_time: 0.0187 memory: 1684 loss: 1.1958 2023/04/03 04:47:03 - mmengine - INFO - Epoch(train) [88][2200/5005] lr: 4.1123e-06 eta: 1:25:08 time: 0.0785 data_time: 0.0187 memory: 1684 loss: 1.2620 2023/04/03 04:47:11 - mmengine - INFO - Epoch(train) [88][2300/5005] lr: 4.1123e-06 eta: 1:25:00 time: 0.0777 data_time: 0.0186 memory: 1684 loss: 1.2993 2023/04/03 04:47:20 - mmengine - INFO - Epoch(train) [88][2400/5005] lr: 4.1123e-06 eta: 1:24:52 time: 0.0774 data_time: 0.0183 memory: 1684 loss: 1.2679 2023/04/03 04:47:28 - mmengine - INFO - Epoch(train) [88][2500/5005] lr: 4.1123e-06 eta: 1:24:44 time: 0.0781 data_time: 0.0182 memory: 1684 loss: 1.3097 2023/04/03 04:47:33 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:47:36 - mmengine - INFO - Epoch(train) [88][2600/5005] lr: 4.1123e-06 eta: 1:24:36 time: 0.0909 data_time: 0.0190 memory: 1684 loss: 1.1836 2023/04/03 04:47:45 - mmengine - INFO - Epoch(train) [88][2700/5005] lr: 4.1123e-06 eta: 1:24:28 time: 0.0889 data_time: 0.0315 memory: 1684 loss: 1.2530 2023/04/03 04:47:53 - mmengine - INFO - Epoch(train) [88][2800/5005] lr: 4.1123e-06 eta: 1:24:20 time: 0.0885 data_time: 0.0200 memory: 1684 loss: 1.1153 2023/04/03 04:48:01 - mmengine - INFO - Epoch(train) [88][2900/5005] lr: 4.1123e-06 eta: 1:24:11 time: 0.0822 data_time: 0.0184 memory: 1684 loss: 1.2848 2023/04/03 04:48:10 - mmengine - INFO - Epoch(train) [88][3000/5005] lr: 4.1123e-06 eta: 1:24:03 time: 0.0894 data_time: 0.0188 memory: 1684 loss: 1.0349 2023/04/03 04:48:18 - mmengine - INFO - Epoch(train) [88][3100/5005] lr: 4.1123e-06 eta: 1:23:55 time: 0.0773 data_time: 0.0185 memory: 1684 loss: 1.3958 2023/04/03 04:48:26 - mmengine - INFO - Epoch(train) [88][3200/5005] lr: 4.1123e-06 eta: 1:23:47 time: 0.0809 data_time: 0.0204 memory: 1684 loss: 1.2128 2023/04/03 04:48:34 - mmengine - INFO - Epoch(train) [88][3300/5005] lr: 4.1123e-06 eta: 1:23:39 time: 0.0778 data_time: 0.0182 memory: 1684 loss: 1.1733 2023/04/03 04:48:43 - mmengine - INFO - Epoch(train) [88][3400/5005] lr: 4.1123e-06 eta: 1:23:31 time: 0.0780 data_time: 0.0181 memory: 1684 loss: 1.0933 2023/04/03 04:48:51 - mmengine - INFO - Epoch(train) [88][3500/5005] lr: 4.1123e-06 eta: 1:23:23 time: 0.0755 data_time: 0.0183 memory: 1684 loss: 1.2069 2023/04/03 04:48:56 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:48:59 - mmengine - INFO - Epoch(train) [88][3600/5005] lr: 4.1123e-06 eta: 1:23:14 time: 0.0893 data_time: 0.0181 memory: 1684 loss: 1.0803 2023/04/03 04:49:07 - mmengine - INFO - Epoch(train) [88][3700/5005] lr: 4.1123e-06 eta: 1:23:06 time: 0.0800 data_time: 0.0195 memory: 1684 loss: 1.0032 2023/04/03 04:49:16 - mmengine - INFO - Epoch(train) [88][3800/5005] lr: 4.1123e-06 eta: 1:22:58 time: 0.0871 data_time: 0.0192 memory: 1684 loss: 1.2167 2023/04/03 04:49:24 - mmengine - INFO - Epoch(train) [88][3900/5005] lr: 4.1123e-06 eta: 1:22:50 time: 0.1081 data_time: 0.0188 memory: 1684 loss: 1.1243 2023/04/03 04:49:33 - mmengine - INFO - Epoch(train) [88][4000/5005] lr: 4.1123e-06 eta: 1:22:42 time: 0.0791 data_time: 0.0182 memory: 1684 loss: 1.0991 2023/04/03 04:49:41 - mmengine - INFO - Epoch(train) [88][4100/5005] lr: 4.1123e-06 eta: 1:22:34 time: 0.0791 data_time: 0.0182 memory: 1684 loss: 1.2027 2023/04/03 04:49:49 - mmengine - INFO - Epoch(train) [88][4200/5005] lr: 4.1123e-06 eta: 1:22:26 time: 0.0799 data_time: 0.0184 memory: 1684 loss: 1.2103 2023/04/03 04:49:58 - mmengine - INFO - Epoch(train) [88][4300/5005] lr: 4.1123e-06 eta: 1:22:18 time: 0.0800 data_time: 0.0197 memory: 1684 loss: 1.2224 2023/04/03 04:50:06 - mmengine - INFO - Epoch(train) [88][4400/5005] lr: 4.1123e-06 eta: 1:22:10 time: 0.0831 data_time: 0.0181 memory: 1684 loss: 1.0452 2023/04/03 04:50:14 - mmengine - INFO - Epoch(train) [88][4500/5005] lr: 4.1123e-06 eta: 1:22:02 time: 0.0769 data_time: 0.0188 memory: 1684 loss: 1.2087 2023/04/03 04:50:20 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:50:23 - mmengine - INFO - Epoch(train) [88][4600/5005] lr: 4.1123e-06 eta: 1:21:53 time: 0.0778 data_time: 0.0179 memory: 1684 loss: 1.2175 2023/04/03 04:50:30 - mmengine - INFO - Epoch(train) [88][4700/5005] lr: 4.1123e-06 eta: 1:21:45 time: 0.0759 data_time: 0.0183 memory: 1684 loss: 1.1386 2023/04/03 04:50:38 - mmengine - INFO - Epoch(train) [88][4800/5005] lr: 4.1123e-06 eta: 1:21:37 time: 0.0792 data_time: 0.0180 memory: 1684 loss: 1.2762 2023/04/03 04:50:46 - mmengine - INFO - Epoch(train) [88][4900/5005] lr: 4.1123e-06 eta: 1:21:29 time: 0.0765 data_time: 0.0180 memory: 1684 loss: 1.3020 2023/04/03 04:50:55 - mmengine - INFO - Epoch(train) [88][5000/5005] lr: 4.1123e-06 eta: 1:21:21 time: 0.0806 data_time: 0.0184 memory: 1684 loss: 1.0766 2023/04/03 04:50:55 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:50:55 - mmengine - INFO - Saving checkpoint at 88 epochs 2023/04/03 04:51:01 - mmengine - INFO - Epoch(val) [88][100/196] eta: 0:00:03 time: 0.0341 data_time: 0.0080 memory: 1684 2023/04/03 04:51:13 - mmengine - INFO - Epoch(val) [88][196/196] qat.accuracy/top1: 69.9680 qat.accuracy/top5: 89.2600data_time: 0.0070 time: 0.0300 2023/04/03 04:51:18 - mmengine - INFO - Epoch(val) [88][100/196] eta: 0:00:04 time: 0.0366 data_time: 0.0080 memory: 513 2023/04/03 04:51:31 - mmengine - INFO - Epoch(val) [88][196/196] qat.accuracy/top1: 69.9580 qat.accuracy/top5: 89.2880data_time: 0.0072 time: 0.0330 2023/04/03 04:51:34 - mmengine - INFO - Epoch(val) [88][100/196] eta: 0:00:02 time: 0.0262 data_time: 0.0155 memory: 470 2023/04/03 04:51:47 - mmengine - INFO - Epoch(val) [88][196/196] original.accuracy/top1: 69.7960 original.accuracy/top5: 89.2620data_time: 0.0266 time: 0.0365 2023/04/03 04:51:56 - mmengine - INFO - Epoch(train) [89][ 100/5005] lr: 3.5112e-06 eta: 1:21:12 time: 0.1103 data_time: 0.0181 memory: 1735 loss: 1.1937 2023/04/03 04:52:05 - mmengine - INFO - Epoch(train) [89][ 200/5005] lr: 3.5112e-06 eta: 1:21:04 time: 0.0830 data_time: 0.0181 memory: 1735 loss: 0.9802 2023/04/03 04:52:14 - mmengine - INFO - Epoch(train) [89][ 300/5005] lr: 3.5112e-06 eta: 1:20:56 time: 0.0815 data_time: 0.0176 memory: 1735 loss: 1.0601 2023/04/03 04:52:22 - mmengine - INFO - Epoch(train) [89][ 400/5005] lr: 3.5112e-06 eta: 1:20:48 time: 0.0784 data_time: 0.0177 memory: 1735 loss: 1.0173 2023/04/03 04:52:30 - mmengine - INFO - Epoch(train) [89][ 500/5005] lr: 3.5112e-06 eta: 1:20:40 time: 0.0820 data_time: 0.0186 memory: 1735 loss: 1.2581 2023/04/03 04:52:35 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:52:38 - mmengine - INFO - Epoch(train) [89][ 600/5005] lr: 3.5112e-06 eta: 1:20:32 time: 0.0898 data_time: 0.0182 memory: 1735 loss: 1.2448 2023/04/03 04:52:47 - mmengine - INFO - Epoch(train) [89][ 700/5005] lr: 3.5112e-06 eta: 1:20:24 time: 0.0785 data_time: 0.0194 memory: 1735 loss: 1.1706 2023/04/03 04:52:55 - mmengine - INFO - Epoch(train) [89][ 800/5005] lr: 3.5112e-06 eta: 1:20:16 time: 0.0966 data_time: 0.0220 memory: 1735 loss: 1.2643 2023/04/03 04:53:03 - mmengine - INFO - Epoch(train) [89][ 900/5005] lr: 3.5112e-06 eta: 1:20:08 time: 0.0829 data_time: 0.0187 memory: 1735 loss: 1.1472 2023/04/03 04:53:12 - mmengine - INFO - Epoch(train) [89][1000/5005] lr: 3.5112e-06 eta: 1:20:00 time: 0.0812 data_time: 0.0206 memory: 1684 loss: 1.1384 2023/04/03 04:53:21 - mmengine - INFO - Epoch(train) [89][1100/5005] lr: 3.5112e-06 eta: 1:19:51 time: 0.0783 data_time: 0.0188 memory: 1684 loss: 1.2620 2023/04/03 04:53:29 - mmengine - INFO - Epoch(train) [89][1200/5005] lr: 3.5112e-06 eta: 1:19:43 time: 0.0773 data_time: 0.0184 memory: 1684 loss: 1.0859 2023/04/03 04:53:38 - mmengine - INFO - Epoch(train) [89][1300/5005] lr: 3.5112e-06 eta: 1:19:35 time: 0.0771 data_time: 0.0186 memory: 1684 loss: 1.2879 2023/04/03 04:53:46 - mmengine - INFO - Epoch(train) [89][1400/5005] lr: 3.5112e-06 eta: 1:19:27 time: 0.0773 data_time: 0.0186 memory: 1684 loss: 1.2611 2023/04/03 04:53:55 - mmengine - INFO - Epoch(train) [89][1500/5005] lr: 3.5112e-06 eta: 1:19:19 time: 0.0893 data_time: 0.0184 memory: 1684 loss: 1.0645 2023/04/03 04:54:00 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:54:03 - mmengine - INFO - Epoch(train) [89][1600/5005] lr: 3.5112e-06 eta: 1:19:11 time: 0.0804 data_time: 0.0186 memory: 1684 loss: 1.4008 2023/04/03 04:54:11 - mmengine - INFO - Epoch(train) [89][1700/5005] lr: 3.5112e-06 eta: 1:19:03 time: 0.0788 data_time: 0.0187 memory: 1684 loss: 0.8969 2023/04/03 04:54:20 - mmengine - INFO - Epoch(train) [89][1800/5005] lr: 3.5112e-06 eta: 1:18:55 time: 0.0780 data_time: 0.0183 memory: 1684 loss: 1.2637 2023/04/03 04:54:28 - mmengine - INFO - Epoch(train) [89][1900/5005] lr: 3.5112e-06 eta: 1:18:47 time: 0.0820 data_time: 0.0188 memory: 1684 loss: 1.2574 2023/04/03 04:54:36 - mmengine - INFO - Epoch(train) [89][2000/5005] lr: 3.5112e-06 eta: 1:18:38 time: 0.0754 data_time: 0.0186 memory: 1684 loss: 1.2390 2023/04/03 04:54:45 - mmengine - INFO - Epoch(train) [89][2100/5005] lr: 3.5112e-06 eta: 1:18:30 time: 0.0809 data_time: 0.0187 memory: 1684 loss: 1.2803 2023/04/03 04:54:53 - mmengine - INFO - Epoch(train) [89][2200/5005] lr: 3.5112e-06 eta: 1:18:22 time: 0.0774 data_time: 0.0184 memory: 1684 loss: 1.2719 2023/04/03 04:55:01 - mmengine - INFO - Epoch(train) [89][2300/5005] lr: 3.5112e-06 eta: 1:18:14 time: 0.0797 data_time: 0.0199 memory: 1684 loss: 1.4079 2023/04/03 04:55:09 - mmengine - INFO - Epoch(train) [89][2400/5005] lr: 3.5112e-06 eta: 1:18:06 time: 0.0797 data_time: 0.0184 memory: 1684 loss: 1.4283 2023/04/03 04:55:18 - mmengine - INFO - Epoch(train) [89][2500/5005] lr: 3.5112e-06 eta: 1:17:58 time: 0.0799 data_time: 0.0193 memory: 1684 loss: 1.0077 2023/04/03 04:55:23 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:55:26 - mmengine - INFO - Epoch(train) [89][2600/5005] lr: 3.5112e-06 eta: 1:17:50 time: 0.0782 data_time: 0.0181 memory: 1684 loss: 1.1717 2023/04/03 04:55:35 - mmengine - INFO - Epoch(train) [89][2700/5005] lr: 3.5112e-06 eta: 1:17:42 time: 0.0778 data_time: 0.0185 memory: 1684 loss: 1.2329 2023/04/03 04:55:43 - mmengine - INFO - Epoch(train) [89][2800/5005] lr: 3.5112e-06 eta: 1:17:33 time: 0.0786 data_time: 0.0178 memory: 1684 loss: 1.1776 2023/04/03 04:55:51 - mmengine - INFO - Epoch(train) [89][2900/5005] lr: 3.5112e-06 eta: 1:17:25 time: 0.0887 data_time: 0.0182 memory: 1684 loss: 1.1039 2023/04/03 04:56:00 - mmengine - INFO - Epoch(train) [89][3000/5005] lr: 3.5112e-06 eta: 1:17:17 time: 0.0787 data_time: 0.0184 memory: 1684 loss: 1.2028 2023/04/03 04:56:08 - mmengine - INFO - Epoch(train) [89][3100/5005] lr: 3.5112e-06 eta: 1:17:09 time: 0.0793 data_time: 0.0180 memory: 1684 loss: 1.0575 2023/04/03 04:56:16 - mmengine - INFO - Epoch(train) [89][3200/5005] lr: 3.5112e-06 eta: 1:17:01 time: 0.0801 data_time: 0.0184 memory: 1684 loss: 1.1842 2023/04/03 04:56:24 - mmengine - INFO - Epoch(train) [89][3300/5005] lr: 3.5112e-06 eta: 1:16:53 time: 0.0805 data_time: 0.0183 memory: 1684 loss: 1.2843 2023/04/03 04:56:33 - mmengine - INFO - Epoch(train) [89][3400/5005] lr: 3.5112e-06 eta: 1:16:45 time: 0.0784 data_time: 0.0182 memory: 1684 loss: 1.3000 2023/04/03 04:56:41 - mmengine - INFO - Epoch(train) [89][3500/5005] lr: 3.5112e-06 eta: 1:16:37 time: 0.0902 data_time: 0.0173 memory: 1684 loss: 1.3265 2023/04/03 04:56:46 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:56:49 - mmengine - INFO - Epoch(train) [89][3600/5005] lr: 3.5112e-06 eta: 1:16:29 time: 0.0899 data_time: 0.0287 memory: 1684 loss: 1.2412 2023/04/03 04:56:58 - mmengine - INFO - Epoch(train) [89][3700/5005] lr: 3.5112e-06 eta: 1:16:20 time: 0.0949 data_time: 0.0179 memory: 1684 loss: 1.1766 2023/04/03 04:57:06 - mmengine - INFO - Epoch(train) [89][3800/5005] lr: 3.5112e-06 eta: 1:16:12 time: 0.0826 data_time: 0.0179 memory: 1684 loss: 1.1508 2023/04/03 04:57:15 - mmengine - INFO - Epoch(train) [89][3900/5005] lr: 3.5112e-06 eta: 1:16:04 time: 0.0798 data_time: 0.0179 memory: 1684 loss: 1.1374 2023/04/03 04:57:23 - mmengine - INFO - Epoch(train) [89][4000/5005] lr: 3.5112e-06 eta: 1:15:56 time: 0.0874 data_time: 0.0182 memory: 1684 loss: 1.2756 2023/04/03 04:57:31 - mmengine - INFO - Epoch(train) [89][4100/5005] lr: 3.5112e-06 eta: 1:15:48 time: 0.0773 data_time: 0.0181 memory: 1684 loss: 1.3212 2023/04/03 04:57:40 - mmengine - INFO - Epoch(train) [89][4200/5005] lr: 3.5112e-06 eta: 1:15:40 time: 0.0776 data_time: 0.0182 memory: 1684 loss: 1.0827 2023/04/03 04:57:48 - mmengine - INFO - Epoch(train) [89][4300/5005] lr: 3.5112e-06 eta: 1:15:32 time: 0.0884 data_time: 0.0181 memory: 1684 loss: 1.3074 2023/04/03 04:57:56 - mmengine - INFO - Epoch(train) [89][4400/5005] lr: 3.5112e-06 eta: 1:15:24 time: 0.0806 data_time: 0.0182 memory: 1684 loss: 1.2570 2023/04/03 04:58:05 - mmengine - INFO - Epoch(train) [89][4500/5005] lr: 3.5112e-06 eta: 1:15:15 time: 0.0891 data_time: 0.0184 memory: 1684 loss: 1.1679 2023/04/03 04:58:09 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:58:13 - mmengine - INFO - Epoch(train) [89][4600/5005] lr: 3.5112e-06 eta: 1:15:07 time: 0.0772 data_time: 0.0179 memory: 1684 loss: 0.8891 2023/04/03 04:58:21 - mmengine - INFO - Epoch(train) [89][4700/5005] lr: 3.5112e-06 eta: 1:14:59 time: 0.0933 data_time: 0.0181 memory: 1684 loss: 1.4113 2023/04/03 04:58:29 - mmengine - INFO - Epoch(train) [89][4800/5005] lr: 3.5112e-06 eta: 1:14:51 time: 0.0787 data_time: 0.0197 memory: 1684 loss: 1.1938 2023/04/03 04:58:37 - mmengine - INFO - Epoch(train) [89][4900/5005] lr: 3.5112e-06 eta: 1:14:43 time: 0.0796 data_time: 0.0182 memory: 1684 loss: 1.1918 2023/04/03 04:58:46 - mmengine - INFO - Epoch(train) [89][5000/5005] lr: 3.5112e-06 eta: 1:14:35 time: 0.0808 data_time: 0.0216 memory: 1684 loss: 1.3273 2023/04/03 04:58:47 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 04:58:47 - mmengine - INFO - Saving checkpoint at 89 epochs 2023/04/03 04:58:53 - mmengine - INFO - Epoch(val) [89][100/196] eta: 0:00:04 time: 0.0341 data_time: 0.0078 memory: 1684 2023/04/03 04:59:06 - mmengine - INFO - Epoch(val) [89][196/196] qat.accuracy/top1: 70.0260 qat.accuracy/top5: 89.2760data_time: 0.0112 time: 0.0352 2023/04/03 04:59:11 - mmengine - INFO - Epoch(val) [89][100/196] eta: 0:00:03 time: 0.0357 data_time: 0.0082 memory: 513 2023/04/03 04:59:24 - mmengine - INFO - Epoch(val) [89][196/196] qat.accuracy/top1: 69.9360 qat.accuracy/top5: 89.2760data_time: 0.0068 time: 0.0330 2023/04/03 04:59:27 - mmengine - INFO - Epoch(val) [89][100/196] eta: 0:00:02 time: 0.0239 data_time: 0.0135 memory: 470 2023/04/03 04:59:39 - mmengine - INFO - Epoch(val) [89][196/196] original.accuracy/top1: 69.7720 original.accuracy/top5: 89.2620data_time: 0.0299 time: 0.0397 2023/04/03 04:59:48 - mmengine - INFO - Epoch(train) [90][ 100/5005] lr: 2.9560e-06 eta: 1:14:26 time: 0.0823 data_time: 0.0176 memory: 1735 loss: 1.2008 2023/04/03 04:59:57 - mmengine - INFO - Epoch(train) [90][ 200/5005] lr: 2.9560e-06 eta: 1:14:18 time: 0.0842 data_time: 0.0199 memory: 1735 loss: 1.1139 2023/04/03 05:00:06 - mmengine - INFO - Epoch(train) [90][ 300/5005] lr: 2.9560e-06 eta: 1:14:10 time: 0.0929 data_time: 0.0179 memory: 1735 loss: 1.2165 2023/04/03 05:00:14 - mmengine - INFO - Epoch(train) [90][ 400/5005] lr: 2.9560e-06 eta: 1:14:02 time: 0.0779 data_time: 0.0177 memory: 1735 loss: 1.2786 2023/04/03 05:00:23 - mmengine - INFO - Epoch(train) [90][ 500/5005] lr: 2.9560e-06 eta: 1:13:54 time: 0.0971 data_time: 0.0195 memory: 1735 loss: 1.2125 2023/04/03 05:00:27 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:00:31 - mmengine - INFO - Epoch(train) [90][ 600/5005] lr: 2.9560e-06 eta: 1:13:46 time: 0.0798 data_time: 0.0189 memory: 1735 loss: 1.2964 2023/04/03 05:00:39 - mmengine - INFO - Epoch(train) [90][ 700/5005] lr: 2.9560e-06 eta: 1:13:38 time: 0.0832 data_time: 0.0183 memory: 1735 loss: 1.0559 2023/04/03 05:00:48 - mmengine - INFO - Epoch(train) [90][ 800/5005] lr: 2.9560e-06 eta: 1:13:30 time: 0.1023 data_time: 0.0192 memory: 1735 loss: 1.3768 2023/04/03 05:00:57 - mmengine - INFO - Epoch(train) [90][ 900/5005] lr: 2.9560e-06 eta: 1:13:22 time: 0.0783 data_time: 0.0191 memory: 1735 loss: 1.1229 2023/04/03 05:01:05 - mmengine - INFO - Epoch(train) [90][1000/5005] lr: 2.9560e-06 eta: 1:13:14 time: 0.1162 data_time: 0.0282 memory: 1684 loss: 1.1088 2023/04/03 05:01:13 - mmengine - INFO - Epoch(train) [90][1100/5005] lr: 2.9560e-06 eta: 1:13:05 time: 0.0891 data_time: 0.0186 memory: 1684 loss: 1.1070 2023/04/03 05:01:21 - mmengine - INFO - Epoch(train) [90][1200/5005] lr: 2.9560e-06 eta: 1:12:57 time: 0.0887 data_time: 0.0187 memory: 1684 loss: 1.1521 2023/04/03 05:01:30 - mmengine - INFO - Epoch(train) [90][1300/5005] lr: 2.9560e-06 eta: 1:12:49 time: 0.0795 data_time: 0.0192 memory: 1684 loss: 1.1353 2023/04/03 05:01:38 - mmengine - INFO - Epoch(train) [90][1400/5005] lr: 2.9560e-06 eta: 1:12:41 time: 0.1076 data_time: 0.0339 memory: 1684 loss: 1.1486 2023/04/03 05:01:47 - mmengine - INFO - Epoch(train) [90][1500/5005] lr: 2.9560e-06 eta: 1:12:33 time: 0.0893 data_time: 0.0190 memory: 1684 loss: 1.3844 2023/04/03 05:01:51 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:01:55 - mmengine - INFO - Epoch(train) [90][1600/5005] lr: 2.9560e-06 eta: 1:12:25 time: 0.0780 data_time: 0.0188 memory: 1684 loss: 1.0898 2023/04/03 05:02:03 - mmengine - INFO - Epoch(train) [90][1700/5005] lr: 2.9560e-06 eta: 1:12:17 time: 0.0976 data_time: 0.0191 memory: 1684 loss: 1.1257 2023/04/03 05:02:12 - mmengine - INFO - Epoch(train) [90][1800/5005] lr: 2.9560e-06 eta: 1:12:09 time: 0.0819 data_time: 0.0182 memory: 1684 loss: 1.4534 2023/04/03 05:02:20 - mmengine - INFO - Epoch(train) [90][1900/5005] lr: 2.9560e-06 eta: 1:12:01 time: 0.0790 data_time: 0.0188 memory: 1684 loss: 1.2612 2023/04/03 05:02:29 - mmengine - INFO - Epoch(train) [90][2000/5005] lr: 2.9560e-06 eta: 1:11:52 time: 0.0912 data_time: 0.0210 memory: 1684 loss: 1.3243 2023/04/03 05:02:37 - mmengine - INFO - Epoch(train) [90][2100/5005] lr: 2.9560e-06 eta: 1:11:44 time: 0.0809 data_time: 0.0185 memory: 1684 loss: 1.2027 2023/04/03 05:02:46 - mmengine - INFO - Epoch(train) [90][2200/5005] lr: 2.9560e-06 eta: 1:11:36 time: 0.0791 data_time: 0.0182 memory: 1684 loss: 1.1104 2023/04/03 05:02:54 - mmengine - INFO - Epoch(train) [90][2300/5005] lr: 2.9560e-06 eta: 1:11:28 time: 0.0859 data_time: 0.0188 memory: 1684 loss: 1.0575 2023/04/03 05:03:03 - mmengine - INFO - Epoch(train) [90][2400/5005] lr: 2.9560e-06 eta: 1:11:20 time: 0.0812 data_time: 0.0183 memory: 1684 loss: 1.3125 2023/04/03 05:03:11 - mmengine - INFO - Epoch(train) [90][2500/5005] lr: 2.9560e-06 eta: 1:11:12 time: 0.0765 data_time: 0.0189 memory: 1684 loss: 1.1141 2023/04/03 05:03:16 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:03:19 - mmengine - INFO - Epoch(train) [90][2600/5005] lr: 2.9560e-06 eta: 1:11:04 time: 0.0786 data_time: 0.0184 memory: 1684 loss: 1.1624 2023/04/03 05:03:28 - mmengine - INFO - Epoch(train) [90][2700/5005] lr: 2.9560e-06 eta: 1:10:56 time: 0.0784 data_time: 0.0188 memory: 1684 loss: 1.3115 2023/04/03 05:03:36 - mmengine - INFO - Epoch(train) [90][2800/5005] lr: 2.9560e-06 eta: 1:10:48 time: 0.0769 data_time: 0.0187 memory: 1684 loss: 1.1189 2023/04/03 05:03:44 - mmengine - INFO - Epoch(train) [90][2900/5005] lr: 2.9560e-06 eta: 1:10:39 time: 0.0906 data_time: 0.0188 memory: 1684 loss: 1.2268 2023/04/03 05:03:52 - mmengine - INFO - Epoch(train) [90][3000/5005] lr: 2.9560e-06 eta: 1:10:31 time: 0.0791 data_time: 0.0191 memory: 1684 loss: 1.2753 2023/04/03 05:04:00 - mmengine - INFO - Epoch(train) [90][3100/5005] lr: 2.9560e-06 eta: 1:10:23 time: 0.0786 data_time: 0.0183 memory: 1684 loss: 1.3423 2023/04/03 05:04:10 - mmengine - INFO - Epoch(train) [90][3200/5005] lr: 2.9560e-06 eta: 1:10:15 time: 0.0923 data_time: 0.0187 memory: 1684 loss: 1.1481 2023/04/03 05:04:18 - mmengine - INFO - Epoch(train) [90][3300/5005] lr: 2.9560e-06 eta: 1:10:07 time: 0.0802 data_time: 0.0180 memory: 1684 loss: 1.3668 2023/04/03 05:04:26 - mmengine - INFO - Epoch(train) [90][3400/5005] lr: 2.9560e-06 eta: 1:09:59 time: 0.0817 data_time: 0.0194 memory: 1684 loss: 1.2930 2023/04/03 05:04:35 - mmengine - INFO - Epoch(train) [90][3500/5005] lr: 2.9560e-06 eta: 1:09:51 time: 0.0856 data_time: 0.0194 memory: 1684 loss: 1.3936 2023/04/03 05:04:40 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:04:43 - mmengine - INFO - Epoch(train) [90][3600/5005] lr: 2.9560e-06 eta: 1:09:43 time: 0.0774 data_time: 0.0182 memory: 1684 loss: 1.3282 2023/04/03 05:04:52 - mmengine - INFO - Epoch(train) [90][3700/5005] lr: 2.9560e-06 eta: 1:09:35 time: 0.0889 data_time: 0.0188 memory: 1684 loss: 1.1972 2023/04/03 05:05:00 - mmengine - INFO - Epoch(train) [90][3800/5005] lr: 2.9560e-06 eta: 1:09:27 time: 0.0783 data_time: 0.0190 memory: 1684 loss: 1.1639 2023/04/03 05:05:08 - mmengine - INFO - Epoch(train) [90][3900/5005] lr: 2.9560e-06 eta: 1:09:18 time: 0.0767 data_time: 0.0189 memory: 1684 loss: 1.2152 2023/04/03 05:05:16 - mmengine - INFO - Epoch(train) [90][4000/5005] lr: 2.9560e-06 eta: 1:09:10 time: 0.0784 data_time: 0.0190 memory: 1684 loss: 1.3124 2023/04/03 05:05:24 - mmengine - INFO - Epoch(train) [90][4100/5005] lr: 2.9560e-06 eta: 1:09:02 time: 0.0773 data_time: 0.0191 memory: 1684 loss: 1.1334 2023/04/03 05:05:32 - mmengine - INFO - Epoch(train) [90][4200/5005] lr: 2.9560e-06 eta: 1:08:54 time: 0.0778 data_time: 0.0188 memory: 1684 loss: 1.1329 2023/04/03 05:05:41 - mmengine - INFO - Epoch(train) [90][4300/5005] lr: 2.9560e-06 eta: 1:08:46 time: 0.0813 data_time: 0.0201 memory: 1684 loss: 1.1103 2023/04/03 05:05:49 - mmengine - INFO - Epoch(train) [90][4400/5005] lr: 2.9560e-06 eta: 1:08:38 time: 0.0928 data_time: 0.0194 memory: 1684 loss: 1.0633 2023/04/03 05:05:58 - mmengine - INFO - Epoch(train) [90][4500/5005] lr: 2.9560e-06 eta: 1:08:30 time: 0.0822 data_time: 0.0192 memory: 1684 loss: 1.0051 2023/04/03 05:06:02 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:06:06 - mmengine - INFO - Epoch(train) [90][4600/5005] lr: 2.9560e-06 eta: 1:08:21 time: 0.0778 data_time: 0.0186 memory: 1684 loss: 1.1326 2023/04/03 05:06:14 - mmengine - INFO - Epoch(train) [90][4700/5005] lr: 2.9560e-06 eta: 1:08:13 time: 0.0817 data_time: 0.0190 memory: 1684 loss: 1.0556 2023/04/03 05:06:23 - mmengine - INFO - Epoch(train) [90][4800/5005] lr: 2.9560e-06 eta: 1:08:05 time: 0.0785 data_time: 0.0191 memory: 1684 loss: 1.0912 2023/04/03 05:06:31 - mmengine - INFO - Epoch(train) [90][4900/5005] lr: 2.9560e-06 eta: 1:07:57 time: 0.0769 data_time: 0.0187 memory: 1684 loss: 1.1432 2023/04/03 05:06:39 - mmengine - INFO - Epoch(train) [90][5000/5005] lr: 2.9560e-06 eta: 1:07:49 time: 0.0801 data_time: 0.0203 memory: 1684 loss: 1.1989 2023/04/03 05:06:39 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:06:40 - mmengine - INFO - Saving checkpoint at 90 epochs 2023/04/03 05:06:46 - mmengine - INFO - Epoch(val) [90][100/196] eta: 0:00:04 time: 0.0348 data_time: 0.0082 memory: 1684 2023/04/03 05:06:59 - mmengine - INFO - Epoch(val) [90][196/196] qat.accuracy/top1: 69.8740 qat.accuracy/top5: 89.2620data_time: 0.0071 time: 0.0314 2023/04/03 05:07:03 - mmengine - INFO - Epoch(val) [90][100/196] eta: 0:00:04 time: 0.0354 data_time: 0.0078 memory: 513 2023/04/03 05:07:16 - mmengine - INFO - Epoch(val) [90][196/196] qat.accuracy/top1: 69.9880 qat.accuracy/top5: 89.2340data_time: 0.0076 time: 0.0351 2023/04/03 05:07:19 - mmengine - INFO - Epoch(val) [90][100/196] eta: 0:00:02 time: 0.0236 data_time: 0.0132 memory: 470 2023/04/03 05:07:31 - mmengine - INFO - Epoch(val) [90][196/196] original.accuracy/top1: 69.7880 original.accuracy/top5: 89.2600data_time: 0.0340 time: 0.0440 2023/04/03 05:07:41 - mmengine - INFO - Epoch(train) [91][ 100/5005] lr: 2.4472e-06 eta: 1:07:41 time: 0.0827 data_time: 0.0179 memory: 1735 loss: 1.3551 2023/04/03 05:07:50 - mmengine - INFO - Epoch(train) [91][ 200/5005] lr: 2.4472e-06 eta: 1:07:33 time: 0.0811 data_time: 0.0173 memory: 1735 loss: 1.1706 2023/04/03 05:07:59 - mmengine - INFO - Epoch(train) [91][ 300/5005] lr: 2.4472e-06 eta: 1:07:24 time: 0.0798 data_time: 0.0182 memory: 1735 loss: 1.1995 2023/04/03 05:08:07 - mmengine - INFO - Epoch(train) [91][ 400/5005] lr: 2.4472e-06 eta: 1:07:16 time: 0.0928 data_time: 0.0178 memory: 1684 loss: 1.1239 2023/04/03 05:08:15 - mmengine - INFO - Epoch(train) [91][ 500/5005] lr: 2.4472e-06 eta: 1:07:08 time: 0.0791 data_time: 0.0175 memory: 1684 loss: 1.2251 2023/04/03 05:08:20 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:08:24 - mmengine - INFO - Epoch(train) [91][ 600/5005] lr: 2.4472e-06 eta: 1:07:00 time: 0.0756 data_time: 0.0177 memory: 1684 loss: 1.1049 2023/04/03 05:08:32 - mmengine - INFO - Epoch(train) [91][ 700/5005] lr: 2.4472e-06 eta: 1:06:52 time: 0.0779 data_time: 0.0174 memory: 1684 loss: 1.0627 2023/04/03 05:08:40 - mmengine - INFO - Epoch(train) [91][ 800/5005] lr: 2.4472e-06 eta: 1:06:44 time: 0.1140 data_time: 0.0346 memory: 1684 loss: 1.1756 2023/04/03 05:08:48 - mmengine - INFO - Epoch(train) [91][ 900/5005] lr: 2.4472e-06 eta: 1:06:36 time: 0.0777 data_time: 0.0189 memory: 1684 loss: 1.1543 2023/04/03 05:08:57 - mmengine - INFO - Epoch(train) [91][1000/5005] lr: 2.4472e-06 eta: 1:06:28 time: 0.0791 data_time: 0.0193 memory: 1684 loss: 1.2378 2023/04/03 05:09:05 - mmengine - INFO - Epoch(train) [91][1100/5005] lr: 2.4472e-06 eta: 1:06:19 time: 0.0790 data_time: 0.0193 memory: 1684 loss: 1.0881 2023/04/03 05:09:13 - mmengine - INFO - Epoch(train) [91][1200/5005] lr: 2.4472e-06 eta: 1:06:11 time: 0.0816 data_time: 0.0190 memory: 1684 loss: 1.0830 2023/04/03 05:09:22 - mmengine - INFO - Epoch(train) [91][1300/5005] lr: 2.4472e-06 eta: 1:06:03 time: 0.0920 data_time: 0.0202 memory: 1684 loss: 1.0771 2023/04/03 05:09:30 - mmengine - INFO - Epoch(train) [91][1400/5005] lr: 2.4472e-06 eta: 1:05:55 time: 0.0776 data_time: 0.0188 memory: 1684 loss: 1.1332 2023/04/03 05:09:38 - mmengine - INFO - Epoch(train) [91][1500/5005] lr: 2.4472e-06 eta: 1:05:47 time: 0.0807 data_time: 0.0195 memory: 1684 loss: 1.2533 2023/04/03 05:09:42 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:09:46 - mmengine - INFO - Epoch(train) [91][1600/5005] lr: 2.4472e-06 eta: 1:05:39 time: 0.0882 data_time: 0.0192 memory: 1684 loss: 1.3844 2023/04/03 05:09:54 - mmengine - INFO - Epoch(train) [91][1700/5005] lr: 2.4472e-06 eta: 1:05:31 time: 0.0797 data_time: 0.0185 memory: 1684 loss: 1.0590 2023/04/03 05:10:03 - mmengine - INFO - Epoch(train) [91][1800/5005] lr: 2.4472e-06 eta: 1:05:23 time: 0.0774 data_time: 0.0184 memory: 1684 loss: 1.2747 2023/04/03 05:10:11 - mmengine - INFO - Epoch(train) [91][1900/5005] lr: 2.4472e-06 eta: 1:05:14 time: 0.0967 data_time: 0.0262 memory: 1684 loss: 1.1860 2023/04/03 05:10:19 - mmengine - INFO - Epoch(train) [91][2000/5005] lr: 2.4472e-06 eta: 1:05:06 time: 0.0777 data_time: 0.0188 memory: 1684 loss: 1.2257 2023/04/03 05:10:28 - mmengine - INFO - Epoch(train) [91][2100/5005] lr: 2.4472e-06 eta: 1:04:58 time: 0.0802 data_time: 0.0192 memory: 1684 loss: 1.2379 2023/04/03 05:10:36 - mmengine - INFO - Epoch(train) [91][2200/5005] lr: 2.4472e-06 eta: 1:04:50 time: 0.0787 data_time: 0.0185 memory: 1684 loss: 1.0951 2023/04/03 05:10:44 - mmengine - INFO - Epoch(train) [91][2300/5005] lr: 2.4472e-06 eta: 1:04:42 time: 0.0788 data_time: 0.0189 memory: 1684 loss: 1.1785 2023/04/03 05:10:52 - mmengine - INFO - Epoch(train) [91][2400/5005] lr: 2.4472e-06 eta: 1:04:34 time: 0.0782 data_time: 0.0192 memory: 1684 loss: 1.4533 2023/04/03 05:11:01 - mmengine - INFO - Epoch(train) [91][2500/5005] lr: 2.4472e-06 eta: 1:04:26 time: 0.0806 data_time: 0.0189 memory: 1684 loss: 1.0700 2023/04/03 05:11:05 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:11:09 - mmengine - INFO - Epoch(train) [91][2600/5005] lr: 2.4472e-06 eta: 1:04:18 time: 0.0788 data_time: 0.0189 memory: 1684 loss: 1.2616 2023/04/03 05:11:17 - mmengine - INFO - Epoch(train) [91][2700/5005] lr: 2.4472e-06 eta: 1:04:09 time: 0.0780 data_time: 0.0188 memory: 1684 loss: 1.3403 2023/04/03 05:11:26 - mmengine - INFO - Epoch(train) [91][2800/5005] lr: 2.4472e-06 eta: 1:04:01 time: 0.0817 data_time: 0.0195 memory: 1684 loss: 1.3372 2023/04/03 05:11:34 - mmengine - INFO - Epoch(train) [91][2900/5005] lr: 2.4472e-06 eta: 1:03:53 time: 0.0805 data_time: 0.0188 memory: 1684 loss: 1.1846 2023/04/03 05:11:43 - mmengine - INFO - Epoch(train) [91][3000/5005] lr: 2.4472e-06 eta: 1:03:45 time: 0.0860 data_time: 0.0193 memory: 1684 loss: 1.0029 2023/04/03 05:11:51 - mmengine - INFO - Epoch(train) [91][3100/5005] lr: 2.4472e-06 eta: 1:03:37 time: 0.0794 data_time: 0.0186 memory: 1684 loss: 1.1169 2023/04/03 05:11:59 - mmengine - INFO - Epoch(train) [91][3200/5005] lr: 2.4472e-06 eta: 1:03:29 time: 0.0783 data_time: 0.0186 memory: 1684 loss: 1.3376 2023/04/03 05:12:07 - mmengine - INFO - Epoch(train) [91][3300/5005] lr: 2.4472e-06 eta: 1:03:21 time: 0.0766 data_time: 0.0181 memory: 1684 loss: 1.2594 2023/04/03 05:12:16 - mmengine - INFO - Epoch(train) [91][3400/5005] lr: 2.4472e-06 eta: 1:03:13 time: 0.0790 data_time: 0.0194 memory: 1684 loss: 1.3986 2023/04/03 05:12:24 - mmengine - INFO - Epoch(train) [91][3500/5005] lr: 2.4472e-06 eta: 1:03:04 time: 0.0782 data_time: 0.0191 memory: 1684 loss: 1.1404 2023/04/03 05:12:28 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:12:32 - mmengine - INFO - Epoch(train) [91][3600/5005] lr: 2.4472e-06 eta: 1:02:56 time: 0.0775 data_time: 0.0189 memory: 1684 loss: 1.2385 2023/04/03 05:12:40 - mmengine - INFO - Epoch(train) [91][3700/5005] lr: 2.4472e-06 eta: 1:02:48 time: 0.0854 data_time: 0.0188 memory: 1684 loss: 1.2453 2023/04/03 05:12:48 - mmengine - INFO - Epoch(train) [91][3800/5005] lr: 2.4472e-06 eta: 1:02:40 time: 0.0770 data_time: 0.0188 memory: 1684 loss: 1.3106 2023/04/03 05:12:57 - mmengine - INFO - Epoch(train) [91][3900/5005] lr: 2.4472e-06 eta: 1:02:32 time: 0.0788 data_time: 0.0189 memory: 1684 loss: 1.1993 2023/04/03 05:13:05 - mmengine - INFO - Epoch(train) [91][4000/5005] lr: 2.4472e-06 eta: 1:02:24 time: 0.0982 data_time: 0.0187 memory: 1684 loss: 1.2908 2023/04/03 05:13:13 - mmengine - INFO - Epoch(train) [91][4100/5005] lr: 2.4472e-06 eta: 1:02:16 time: 0.0790 data_time: 0.0193 memory: 1684 loss: 1.2675 2023/04/03 05:13:21 - mmengine - INFO - Epoch(train) [91][4200/5005] lr: 2.4472e-06 eta: 1:02:07 time: 0.0783 data_time: 0.0190 memory: 1684 loss: 1.1661 2023/04/03 05:13:30 - mmengine - INFO - Epoch(train) [91][4300/5005] lr: 2.4472e-06 eta: 1:01:59 time: 0.0839 data_time: 0.0184 memory: 1684 loss: 1.1810 2023/04/03 05:13:38 - mmengine - INFO - Epoch(train) [91][4400/5005] lr: 2.4472e-06 eta: 1:01:51 time: 0.0908 data_time: 0.0182 memory: 1684 loss: 1.0577 2023/04/03 05:13:47 - mmengine - INFO - Epoch(train) [91][4500/5005] lr: 2.4472e-06 eta: 1:01:43 time: 0.0848 data_time: 0.0185 memory: 1684 loss: 1.3035 2023/04/03 05:13:51 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:13:55 - mmengine - INFO - Epoch(train) [91][4600/5005] lr: 2.4472e-06 eta: 1:01:35 time: 0.0804 data_time: 0.0178 memory: 1684 loss: 1.1662 2023/04/03 05:14:03 - mmengine - INFO - Epoch(train) [91][4700/5005] lr: 2.4472e-06 eta: 1:01:27 time: 0.0803 data_time: 0.0182 memory: 1684 loss: 1.2481 2023/04/03 05:14:12 - mmengine - INFO - Epoch(train) [91][4800/5005] lr: 2.4472e-06 eta: 1:01:19 time: 0.0955 data_time: 0.0318 memory: 1684 loss: 1.1958 2023/04/03 05:14:21 - mmengine - INFO - Epoch(train) [91][4900/5005] lr: 2.4472e-06 eta: 1:01:11 time: 0.0810 data_time: 0.0183 memory: 1684 loss: 1.2349 2023/04/03 05:14:29 - mmengine - INFO - Epoch(train) [91][5000/5005] lr: 2.4472e-06 eta: 1:01:03 time: 0.0774 data_time: 0.0193 memory: 1684 loss: 1.3850 2023/04/03 05:14:29 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:14:29 - mmengine - INFO - Saving checkpoint at 91 epochs 2023/04/03 05:14:35 - mmengine - INFO - Epoch(val) [91][100/196] eta: 0:00:04 time: 0.0332 data_time: 0.0081 memory: 1684 2023/04/03 05:14:48 - mmengine - INFO - Epoch(val) [91][196/196] qat.accuracy/top1: 69.9580 qat.accuracy/top5: 89.2680data_time: 0.0067 time: 0.0304 2023/04/03 05:14:52 - mmengine - INFO - Epoch(val) [91][100/196] eta: 0:00:04 time: 0.0346 data_time: 0.0077 memory: 513 2023/04/03 05:15:06 - mmengine - INFO - Epoch(val) [91][196/196] qat.accuracy/top1: 69.9100 qat.accuracy/top5: 89.2980data_time: 0.0079 time: 0.0359 2023/04/03 05:15:09 - mmengine - INFO - Epoch(val) [91][100/196] eta: 0:00:02 time: 0.0236 data_time: 0.0131 memory: 470 2023/04/03 05:15:22 - mmengine - INFO - Epoch(val) [91][196/196] original.accuracy/top1: 69.7760 original.accuracy/top5: 89.2840data_time: 0.0339 time: 0.0437 2023/04/03 05:15:31 - mmengine - INFO - Epoch(train) [92][ 100/5005] lr: 1.9853e-06 eta: 1:00:54 time: 0.0861 data_time: 0.0176 memory: 1735 loss: 1.3421 2023/04/03 05:15:40 - mmengine - INFO - Epoch(train) [92][ 200/5005] lr: 1.9853e-06 eta: 1:00:46 time: 0.0835 data_time: 0.0183 memory: 1735 loss: 1.0369 2023/04/03 05:15:48 - mmengine - INFO - Epoch(train) [92][ 300/5005] lr: 1.9853e-06 eta: 1:00:38 time: 0.0950 data_time: 0.0176 memory: 1735 loss: 1.3800 2023/04/03 05:15:57 - mmengine - INFO - Epoch(train) [92][ 400/5005] lr: 1.9853e-06 eta: 1:00:30 time: 0.0830 data_time: 0.0179 memory: 1735 loss: 1.1765 2023/04/03 05:16:05 - mmengine - INFO - Epoch(train) [92][ 500/5005] lr: 1.9853e-06 eta: 1:00:22 time: 0.0786 data_time: 0.0193 memory: 1735 loss: 1.1900 2023/04/03 05:16:09 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:16:14 - mmengine - INFO - Epoch(train) [92][ 600/5005] lr: 1.9853e-06 eta: 1:00:14 time: 0.1142 data_time: 0.0320 memory: 1735 loss: 1.1919 2023/04/03 05:16:23 - mmengine - INFO - Epoch(train) [92][ 700/5005] lr: 1.9853e-06 eta: 1:00:06 time: 0.0787 data_time: 0.0194 memory: 1684 loss: 1.2939 2023/04/03 05:16:31 - mmengine - INFO - Epoch(train) [92][ 800/5005] lr: 1.9853e-06 eta: 0:59:57 time: 0.0847 data_time: 0.0188 memory: 1684 loss: 1.2283 2023/04/03 05:16:40 - mmengine - INFO - Epoch(train) [92][ 900/5005] lr: 1.9853e-06 eta: 0:59:49 time: 0.0824 data_time: 0.0199 memory: 1684 loss: 1.3216 2023/04/03 05:16:48 - mmengine - INFO - Epoch(train) [92][1000/5005] lr: 1.9853e-06 eta: 0:59:41 time: 0.0799 data_time: 0.0199 memory: 1684 loss: 1.1968 2023/04/03 05:16:57 - mmengine - INFO - Epoch(train) [92][1100/5005] lr: 1.9853e-06 eta: 0:59:33 time: 0.0782 data_time: 0.0191 memory: 1684 loss: 1.2627 2023/04/03 05:17:05 - mmengine - INFO - Epoch(train) [92][1200/5005] lr: 1.9853e-06 eta: 0:59:25 time: 0.0900 data_time: 0.0192 memory: 1684 loss: 1.0299 2023/04/03 05:17:14 - mmengine - INFO - Epoch(train) [92][1300/5005] lr: 1.9853e-06 eta: 0:59:17 time: 0.0812 data_time: 0.0187 memory: 1684 loss: 1.0383 2023/04/03 05:17:22 - mmengine - INFO - Epoch(train) [92][1400/5005] lr: 1.9853e-06 eta: 0:59:09 time: 0.0787 data_time: 0.0185 memory: 1684 loss: 0.9990 2023/04/03 05:17:30 - mmengine - INFO - Epoch(train) [92][1500/5005] lr: 1.9853e-06 eta: 0:59:01 time: 0.0791 data_time: 0.0184 memory: 1684 loss: 1.1487 2023/04/03 05:17:34 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:17:38 - mmengine - INFO - Epoch(train) [92][1600/5005] lr: 1.9853e-06 eta: 0:58:52 time: 0.0771 data_time: 0.0186 memory: 1684 loss: 1.1198 2023/04/03 05:17:46 - mmengine - INFO - Epoch(train) [92][1700/5005] lr: 1.9853e-06 eta: 0:58:44 time: 0.0785 data_time: 0.0193 memory: 1684 loss: 1.2308 2023/04/03 05:17:55 - mmengine - INFO - Epoch(train) [92][1800/5005] lr: 1.9853e-06 eta: 0:58:36 time: 0.1040 data_time: 0.0202 memory: 1684 loss: 1.1758 2023/04/03 05:18:03 - mmengine - INFO - Epoch(train) [92][1900/5005] lr: 1.9853e-06 eta: 0:58:28 time: 0.0775 data_time: 0.0193 memory: 1684 loss: 1.1913 2023/04/03 05:18:11 - mmengine - INFO - Epoch(train) [92][2000/5005] lr: 1.9853e-06 eta: 0:58:20 time: 0.0803 data_time: 0.0188 memory: 1684 loss: 1.2926 2023/04/03 05:18:20 - mmengine - INFO - Epoch(train) [92][2100/5005] lr: 1.9853e-06 eta: 0:58:12 time: 0.0785 data_time: 0.0188 memory: 1684 loss: 1.2580 2023/04/03 05:18:28 - mmengine - INFO - Epoch(train) [92][2200/5005] lr: 1.9853e-06 eta: 0:58:04 time: 0.0834 data_time: 0.0186 memory: 1684 loss: 1.3683 2023/04/03 05:18:37 - mmengine - INFO - Epoch(train) [92][2300/5005] lr: 1.9853e-06 eta: 0:57:56 time: 0.0799 data_time: 0.0185 memory: 1684 loss: 1.0952 2023/04/03 05:18:45 - mmengine - INFO - Epoch(train) [92][2400/5005] lr: 1.9853e-06 eta: 0:57:47 time: 0.0795 data_time: 0.0189 memory: 1684 loss: 1.1350 2023/04/03 05:18:53 - mmengine - INFO - Epoch(train) [92][2500/5005] lr: 1.9853e-06 eta: 0:57:39 time: 0.0785 data_time: 0.0188 memory: 1684 loss: 1.1412 2023/04/03 05:18:57 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:19:02 - mmengine - INFO - Epoch(train) [92][2600/5005] lr: 1.9853e-06 eta: 0:57:31 time: 0.0881 data_time: 0.0186 memory: 1684 loss: 1.2159 2023/04/03 05:19:10 - mmengine - INFO - Epoch(train) [92][2700/5005] lr: 1.9853e-06 eta: 0:57:23 time: 0.0780 data_time: 0.0190 memory: 1684 loss: 1.4450 2023/04/03 05:19:18 - mmengine - INFO - Epoch(train) [92][2800/5005] lr: 1.9853e-06 eta: 0:57:15 time: 0.0793 data_time: 0.0197 memory: 1684 loss: 1.0792 2023/04/03 05:19:26 - mmengine - INFO - Epoch(train) [92][2900/5005] lr: 1.9853e-06 eta: 0:57:07 time: 0.0796 data_time: 0.0193 memory: 1684 loss: 1.2097 2023/04/03 05:19:34 - mmengine - INFO - Epoch(train) [92][3000/5005] lr: 1.9853e-06 eta: 0:56:59 time: 0.0814 data_time: 0.0197 memory: 1684 loss: 1.2808 2023/04/03 05:19:42 - mmengine - INFO - Epoch(train) [92][3100/5005] lr: 1.9853e-06 eta: 0:56:51 time: 0.0796 data_time: 0.0188 memory: 1684 loss: 1.2218 2023/04/03 05:19:51 - mmengine - INFO - Epoch(train) [92][3200/5005] lr: 1.9853e-06 eta: 0:56:42 time: 0.0770 data_time: 0.0190 memory: 1684 loss: 1.2432 2023/04/03 05:19:59 - mmengine - INFO - Epoch(train) [92][3300/5005] lr: 1.9853e-06 eta: 0:56:34 time: 0.0770 data_time: 0.0187 memory: 1684 loss: 1.1071 2023/04/03 05:20:07 - mmengine - INFO - Epoch(train) [92][3400/5005] lr: 1.9853e-06 eta: 0:56:26 time: 0.0886 data_time: 0.0310 memory: 1684 loss: 1.1190 2023/04/03 05:20:15 - mmengine - INFO - Epoch(train) [92][3500/5005] lr: 1.9853e-06 eta: 0:56:18 time: 0.0907 data_time: 0.0190 memory: 1684 loss: 1.1988 2023/04/03 05:20:19 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:20:23 - mmengine - INFO - Epoch(train) [92][3600/5005] lr: 1.9853e-06 eta: 0:56:10 time: 0.0760 data_time: 0.0189 memory: 1684 loss: 1.1543 2023/04/03 05:20:31 - mmengine - INFO - Epoch(train) [92][3700/5005] lr: 1.9853e-06 eta: 0:56:02 time: 0.0781 data_time: 0.0193 memory: 1684 loss: 1.2276 2023/04/03 05:20:40 - mmengine - INFO - Epoch(train) [92][3800/5005] lr: 1.9853e-06 eta: 0:55:54 time: 0.0802 data_time: 0.0194 memory: 1684 loss: 1.0897 2023/04/03 05:20:48 - mmengine - INFO - Epoch(train) [92][3900/5005] lr: 1.9853e-06 eta: 0:55:45 time: 0.0912 data_time: 0.0320 memory: 1684 loss: 1.2125 2023/04/03 05:20:57 - mmengine - INFO - Epoch(train) [92][4000/5005] lr: 1.9853e-06 eta: 0:55:37 time: 0.0767 data_time: 0.0187 memory: 1684 loss: 1.4745 2023/04/03 05:21:05 - mmengine - INFO - Epoch(train) [92][4100/5005] lr: 1.9853e-06 eta: 0:55:29 time: 0.0845 data_time: 0.0188 memory: 1684 loss: 1.1548 2023/04/03 05:21:13 - mmengine - INFO - Epoch(train) [92][4200/5005] lr: 1.9853e-06 eta: 0:55:21 time: 0.0808 data_time: 0.0194 memory: 1684 loss: 1.0871 2023/04/03 05:21:21 - mmengine - INFO - Epoch(train) [92][4300/5005] lr: 1.9853e-06 eta: 0:55:13 time: 0.0771 data_time: 0.0193 memory: 1684 loss: 1.3515 2023/04/03 05:21:29 - mmengine - INFO - Epoch(train) [92][4400/5005] lr: 1.9853e-06 eta: 0:55:05 time: 0.0875 data_time: 0.0192 memory: 1684 loss: 1.1657 2023/04/03 05:21:38 - mmengine - INFO - Epoch(train) [92][4500/5005] lr: 1.9853e-06 eta: 0:54:57 time: 0.0839 data_time: 0.0188 memory: 1684 loss: 1.2851 2023/04/03 05:21:42 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:21:46 - mmengine - INFO - Epoch(train) [92][4600/5005] lr: 1.9853e-06 eta: 0:54:49 time: 0.0838 data_time: 0.0192 memory: 1684 loss: 1.1269 2023/04/03 05:21:55 - mmengine - INFO - Epoch(train) [92][4700/5005] lr: 1.9853e-06 eta: 0:54:40 time: 0.0807 data_time: 0.0190 memory: 1684 loss: 1.2257 2023/04/03 05:22:03 - mmengine - INFO - Epoch(train) [92][4800/5005] lr: 1.9853e-06 eta: 0:54:32 time: 0.0823 data_time: 0.0194 memory: 1684 loss: 1.2290 2023/04/03 05:22:11 - mmengine - INFO - Epoch(train) [92][4900/5005] lr: 1.9853e-06 eta: 0:54:24 time: 0.0822 data_time: 0.0191 memory: 1684 loss: 1.2066 2023/04/03 05:22:19 - mmengine - INFO - Epoch(train) [92][5000/5005] lr: 1.9853e-06 eta: 0:54:16 time: 0.0784 data_time: 0.0194 memory: 1684 loss: 1.3610 2023/04/03 05:22:20 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:22:20 - mmengine - INFO - Saving checkpoint at 92 epochs 2023/04/03 05:22:26 - mmengine - INFO - Epoch(val) [92][100/196] eta: 0:00:03 time: 0.0356 data_time: 0.0086 memory: 1684 2023/04/03 05:22:39 - mmengine - INFO - Epoch(val) [92][196/196] qat.accuracy/top1: 69.9300 qat.accuracy/top5: 89.2680data_time: 0.0112 time: 0.0358 2023/04/03 05:22:43 - mmengine - INFO - Epoch(val) [92][100/196] eta: 0:00:03 time: 0.0356 data_time: 0.0077 memory: 513 2023/04/03 05:22:56 - mmengine - INFO - Epoch(val) [92][196/196] qat.accuracy/top1: 69.9640 qat.accuracy/top5: 89.2880data_time: 0.0071 time: 0.0347 2023/04/03 05:22:59 - mmengine - INFO - Epoch(val) [92][100/196] eta: 0:00:02 time: 0.0356 data_time: 0.0250 memory: 470 2023/04/03 05:23:11 - mmengine - INFO - Epoch(val) [92][196/196] original.accuracy/top1: 69.7760 original.accuracy/top5: 89.2620data_time: 0.0301 time: 0.0395 2023/04/03 05:23:21 - mmengine - INFO - Epoch(train) [93][ 100/5005] lr: 1.5708e-06 eta: 0:54:08 time: 0.0771 data_time: 0.0177 memory: 1735 loss: 1.1201 2023/04/03 05:23:29 - mmengine - INFO - Epoch(train) [93][ 200/5005] lr: 1.5708e-06 eta: 0:54:00 time: 0.0807 data_time: 0.0175 memory: 1735 loss: 1.1544 2023/04/03 05:23:38 - mmengine - INFO - Epoch(train) [93][ 300/5005] lr: 1.5708e-06 eta: 0:53:51 time: 0.0848 data_time: 0.0181 memory: 1735 loss: 1.3707 2023/04/03 05:23:47 - mmengine - INFO - Epoch(train) [93][ 400/5005] lr: 1.5708e-06 eta: 0:53:43 time: 0.0797 data_time: 0.0184 memory: 1735 loss: 1.2169 2023/04/03 05:23:55 - mmengine - INFO - Epoch(train) [93][ 500/5005] lr: 1.5708e-06 eta: 0:53:35 time: 0.0808 data_time: 0.0189 memory: 1735 loss: 1.2570 2023/04/03 05:23:58 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:24:03 - mmengine - INFO - Epoch(train) [93][ 600/5005] lr: 1.5708e-06 eta: 0:53:27 time: 0.0800 data_time: 0.0186 memory: 1735 loss: 1.1779 2023/04/03 05:24:13 - mmengine - INFO - Epoch(train) [93][ 700/5005] lr: 1.5708e-06 eta: 0:53:19 time: 0.0793 data_time: 0.0191 memory: 1735 loss: 1.2210 2023/04/03 05:24:21 - mmengine - INFO - Epoch(train) [93][ 800/5005] lr: 1.5708e-06 eta: 0:53:11 time: 0.0790 data_time: 0.0184 memory: 1735 loss: 1.4617 2023/04/03 05:24:29 - mmengine - INFO - Epoch(train) [93][ 900/5005] lr: 1.5708e-06 eta: 0:53:03 time: 0.0820 data_time: 0.0186 memory: 1735 loss: 1.1832 2023/04/03 05:24:38 - mmengine - INFO - Epoch(train) [93][1000/5005] lr: 1.5708e-06 eta: 0:52:55 time: 0.0795 data_time: 0.0190 memory: 1735 loss: 1.1643 2023/04/03 05:24:46 - mmengine - INFO - Epoch(train) [93][1100/5005] lr: 1.5708e-06 eta: 0:52:47 time: 0.0775 data_time: 0.0193 memory: 1735 loss: 1.0843 2023/04/03 05:24:55 - mmengine - INFO - Epoch(train) [93][1200/5005] lr: 1.5708e-06 eta: 0:52:38 time: 0.0821 data_time: 0.0191 memory: 1684 loss: 1.2494 2023/04/03 05:25:03 - mmengine - INFO - Epoch(train) [93][1300/5005] lr: 1.5708e-06 eta: 0:52:30 time: 0.0812 data_time: 0.0189 memory: 1684 loss: 1.0539 2023/04/03 05:25:11 - mmengine - INFO - Epoch(train) [93][1400/5005] lr: 1.5708e-06 eta: 0:52:22 time: 0.0894 data_time: 0.0203 memory: 1684 loss: 1.3344 2023/04/03 05:25:19 - mmengine - INFO - Epoch(train) [93][1500/5005] lr: 1.5708e-06 eta: 0:52:14 time: 0.0788 data_time: 0.0189 memory: 1684 loss: 1.4544 2023/04/03 05:25:23 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:25:28 - mmengine - INFO - Epoch(train) [93][1600/5005] lr: 1.5708e-06 eta: 0:52:06 time: 0.0782 data_time: 0.0187 memory: 1684 loss: 1.0558 2023/04/03 05:25:36 - mmengine - INFO - Epoch(train) [93][1700/5005] lr: 1.5708e-06 eta: 0:51:58 time: 0.0897 data_time: 0.0180 memory: 1684 loss: 1.2023 2023/04/03 05:25:44 - mmengine - INFO - Epoch(train) [93][1800/5005] lr: 1.5708e-06 eta: 0:51:50 time: 0.0785 data_time: 0.0188 memory: 1684 loss: 1.4395 2023/04/03 05:25:53 - mmengine - INFO - Epoch(train) [93][1900/5005] lr: 1.5708e-06 eta: 0:51:42 time: 0.0795 data_time: 0.0190 memory: 1684 loss: 1.3080 2023/04/03 05:26:01 - mmengine - INFO - Epoch(train) [93][2000/5005] lr: 1.5708e-06 eta: 0:51:33 time: 0.0938 data_time: 0.0194 memory: 1684 loss: 1.2076 2023/04/03 05:26:10 - mmengine - INFO - Epoch(train) [93][2100/5005] lr: 1.5708e-06 eta: 0:51:25 time: 0.0826 data_time: 0.0201 memory: 1684 loss: 1.0759 2023/04/03 05:26:18 - mmengine - INFO - Epoch(train) [93][2200/5005] lr: 1.5708e-06 eta: 0:51:17 time: 0.0788 data_time: 0.0189 memory: 1684 loss: 1.2080 2023/04/03 05:26:26 - mmengine - INFO - Epoch(train) [93][2300/5005] lr: 1.5708e-06 eta: 0:51:09 time: 0.0957 data_time: 0.0321 memory: 1684 loss: 1.2792 2023/04/03 05:26:34 - mmengine - INFO - Epoch(train) [93][2400/5005] lr: 1.5708e-06 eta: 0:51:01 time: 0.0804 data_time: 0.0190 memory: 1684 loss: 1.2546 2023/04/03 05:26:43 - mmengine - INFO - Epoch(train) [93][2500/5005] lr: 1.5708e-06 eta: 0:50:53 time: 0.0922 data_time: 0.0183 memory: 1684 loss: 1.2657 2023/04/03 05:26:47 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:26:52 - mmengine - INFO - Epoch(train) [93][2600/5005] lr: 1.5708e-06 eta: 0:50:45 time: 0.0972 data_time: 0.0191 memory: 1684 loss: 1.3717 2023/04/03 05:27:00 - mmengine - INFO - Epoch(train) [93][2700/5005] lr: 1.5708e-06 eta: 0:50:37 time: 0.0797 data_time: 0.0204 memory: 1684 loss: 0.9607 2023/04/03 05:27:09 - mmengine - INFO - Epoch(train) [93][2800/5005] lr: 1.5708e-06 eta: 0:50:28 time: 0.0834 data_time: 0.0216 memory: 1684 loss: 1.3413 2023/04/03 05:27:17 - mmengine - INFO - Epoch(train) [93][2900/5005] lr: 1.5708e-06 eta: 0:50:20 time: 0.0970 data_time: 0.0253 memory: 1684 loss: 1.0891 2023/04/03 05:27:25 - mmengine - INFO - Epoch(train) [93][3000/5005] lr: 1.5708e-06 eta: 0:50:12 time: 0.0784 data_time: 0.0182 memory: 1684 loss: 1.2763 2023/04/03 05:27:34 - mmengine - INFO - Epoch(train) [93][3100/5005] lr: 1.5708e-06 eta: 0:50:04 time: 0.0810 data_time: 0.0187 memory: 1684 loss: 1.2121 2023/04/03 05:27:43 - mmengine - INFO - Epoch(train) [93][3200/5005] lr: 1.5708e-06 eta: 0:49:56 time: 0.0810 data_time: 0.0188 memory: 1684 loss: 1.3131 2023/04/03 05:27:51 - mmengine - INFO - Epoch(train) [93][3300/5005] lr: 1.5708e-06 eta: 0:49:48 time: 0.0814 data_time: 0.0187 memory: 1684 loss: 1.1627 2023/04/03 05:28:00 - mmengine - INFO - Epoch(train) [93][3400/5005] lr: 1.5708e-06 eta: 0:49:40 time: 0.1208 data_time: 0.0586 memory: 1684 loss: 1.0841 2023/04/03 05:28:08 - mmengine - INFO - Epoch(train) [93][3500/5005] lr: 1.5708e-06 eta: 0:49:32 time: 0.0819 data_time: 0.0200 memory: 1684 loss: 1.1488 2023/04/03 05:28:12 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:28:17 - mmengine - INFO - Epoch(train) [93][3600/5005] lr: 1.5708e-06 eta: 0:49:24 time: 0.0897 data_time: 0.0181 memory: 1684 loss: 1.1322 2023/04/03 05:28:25 - mmengine - INFO - Epoch(train) [93][3700/5005] lr: 1.5708e-06 eta: 0:49:15 time: 0.0767 data_time: 0.0187 memory: 1684 loss: 1.3001 2023/04/03 05:28:33 - mmengine - INFO - Epoch(train) [93][3800/5005] lr: 1.5708e-06 eta: 0:49:07 time: 0.0772 data_time: 0.0191 memory: 1684 loss: 1.1169 2023/04/03 05:28:42 - mmengine - INFO - Epoch(train) [93][3900/5005] lr: 1.5708e-06 eta: 0:48:59 time: 0.0827 data_time: 0.0184 memory: 1684 loss: 1.2552 2023/04/03 05:28:50 - mmengine - INFO - Epoch(train) [93][4000/5005] lr: 1.5708e-06 eta: 0:48:51 time: 0.1013 data_time: 0.0352 memory: 1684 loss: 1.2018 2023/04/03 05:28:59 - mmengine - INFO - Epoch(train) [93][4100/5005] lr: 1.5708e-06 eta: 0:48:43 time: 0.0795 data_time: 0.0188 memory: 1684 loss: 1.3566 2023/04/03 05:29:07 - mmengine - INFO - Epoch(train) [93][4200/5005] lr: 1.5708e-06 eta: 0:48:35 time: 0.0768 data_time: 0.0192 memory: 1684 loss: 1.2136 2023/04/03 05:29:15 - mmengine - INFO - Epoch(train) [93][4300/5005] lr: 1.5708e-06 eta: 0:48:27 time: 0.1016 data_time: 0.0330 memory: 1684 loss: 1.2043 2023/04/03 05:29:24 - mmengine - INFO - Epoch(train) [93][4400/5005] lr: 1.5708e-06 eta: 0:48:19 time: 0.0807 data_time: 0.0189 memory: 1684 loss: 1.2001 2023/04/03 05:29:32 - mmengine - INFO - Epoch(train) [93][4500/5005] lr: 1.5708e-06 eta: 0:48:10 time: 0.0786 data_time: 0.0191 memory: 1684 loss: 1.0549 2023/04/03 05:29:35 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:29:40 - mmengine - INFO - Epoch(train) [93][4600/5005] lr: 1.5708e-06 eta: 0:48:02 time: 0.0769 data_time: 0.0188 memory: 1684 loss: 1.1875 2023/04/03 05:29:49 - mmengine - INFO - Epoch(train) [93][4700/5005] lr: 1.5708e-06 eta: 0:47:54 time: 0.0947 data_time: 0.0191 memory: 1684 loss: 1.2860 2023/04/03 05:29:57 - mmengine - INFO - Epoch(train) [93][4800/5005] lr: 1.5708e-06 eta: 0:47:46 time: 0.0797 data_time: 0.0196 memory: 1684 loss: 1.2406 2023/04/03 05:30:06 - mmengine - INFO - Epoch(train) [93][4900/5005] lr: 1.5708e-06 eta: 0:47:38 time: 0.0896 data_time: 0.0277 memory: 1684 loss: 1.3852 2023/04/03 05:30:14 - mmengine - INFO - Epoch(train) [93][5000/5005] lr: 1.5708e-06 eta: 0:47:30 time: 0.0804 data_time: 0.0218 memory: 1684 loss: 1.2051 2023/04/03 05:30:15 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:30:15 - mmengine - INFO - Saving checkpoint at 93 epochs 2023/04/03 05:30:21 - mmengine - INFO - Epoch(val) [93][100/196] eta: 0:00:03 time: 0.0342 data_time: 0.0084 memory: 1684 2023/04/03 05:30:34 - mmengine - INFO - Epoch(val) [93][196/196] qat.accuracy/top1: 70.0060 qat.accuracy/top5: 89.3340data_time: 0.0071 time: 0.0308 2023/04/03 05:30:38 - mmengine - INFO - Epoch(val) [93][100/196] eta: 0:00:03 time: 0.0365 data_time: 0.0082 memory: 513 2023/04/03 05:30:52 - mmengine - INFO - Epoch(val) [93][196/196] qat.accuracy/top1: 69.8860 qat.accuracy/top5: 89.2880data_time: 0.0066 time: 0.0334 2023/04/03 05:30:55 - mmengine - INFO - Epoch(val) [93][100/196] eta: 0:00:02 time: 0.0268 data_time: 0.0159 memory: 470 2023/04/03 05:31:08 - mmengine - INFO - Epoch(val) [93][196/196] original.accuracy/top1: 69.7980 original.accuracy/top5: 89.2680data_time: 0.0273 time: 0.0375 2023/04/03 05:31:18 - mmengine - INFO - Epoch(train) [94][ 100/5005] lr: 1.2042e-06 eta: 0:47:21 time: 0.0798 data_time: 0.0180 memory: 1735 loss: 1.1007 2023/04/03 05:31:26 - mmengine - INFO - Epoch(train) [94][ 200/5005] lr: 1.2042e-06 eta: 0:47:13 time: 0.0800 data_time: 0.0175 memory: 1735 loss: 1.3951 2023/04/03 05:31:35 - mmengine - INFO - Epoch(train) [94][ 300/5005] lr: 1.2042e-06 eta: 0:47:05 time: 0.1010 data_time: 0.0171 memory: 1735 loss: 1.0536 2023/04/03 05:31:43 - mmengine - INFO - Epoch(train) [94][ 400/5005] lr: 1.2042e-06 eta: 0:46:57 time: 0.0953 data_time: 0.0190 memory: 1735 loss: 1.2254 2023/04/03 05:31:52 - mmengine - INFO - Epoch(train) [94][ 500/5005] lr: 1.2042e-06 eta: 0:46:49 time: 0.0958 data_time: 0.0190 memory: 1735 loss: 1.2250 2023/04/03 05:31:55 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:32:01 - mmengine - INFO - Epoch(train) [94][ 600/5005] lr: 1.2042e-06 eta: 0:46:41 time: 0.0912 data_time: 0.0185 memory: 1735 loss: 1.2314 2023/04/03 05:32:09 - mmengine - INFO - Epoch(train) [94][ 700/5005] lr: 1.2042e-06 eta: 0:46:33 time: 0.0780 data_time: 0.0195 memory: 1735 loss: 1.3756 2023/04/03 05:32:17 - mmengine - INFO - Epoch(train) [94][ 800/5005] lr: 1.2042e-06 eta: 0:46:25 time: 0.0786 data_time: 0.0190 memory: 1735 loss: 1.1583 2023/04/03 05:32:25 - mmengine - INFO - Epoch(train) [94][ 900/5005] lr: 1.2042e-06 eta: 0:46:16 time: 0.0823 data_time: 0.0185 memory: 1735 loss: 1.2788 2023/04/03 05:32:34 - mmengine - INFO - Epoch(train) [94][1000/5005] lr: 1.2042e-06 eta: 0:46:08 time: 0.0869 data_time: 0.0191 memory: 1735 loss: 1.1602 2023/04/03 05:32:43 - mmengine - INFO - Epoch(train) [94][1100/5005] lr: 1.2042e-06 eta: 0:46:00 time: 0.0805 data_time: 0.0198 memory: 1684 loss: 1.1651 2023/04/03 05:32:51 - mmengine - INFO - Epoch(train) [94][1200/5005] lr: 1.2042e-06 eta: 0:45:52 time: 0.0801 data_time: 0.0196 memory: 1684 loss: 1.2438 2023/04/03 05:32:59 - mmengine - INFO - Epoch(train) [94][1300/5005] lr: 1.2042e-06 eta: 0:45:44 time: 0.0794 data_time: 0.0188 memory: 1684 loss: 1.2191 2023/04/03 05:33:07 - mmengine - INFO - Epoch(train) [94][1400/5005] lr: 1.2042e-06 eta: 0:45:36 time: 0.0761 data_time: 0.0192 memory: 1684 loss: 1.2630 2023/04/03 05:33:16 - mmengine - INFO - Epoch(train) [94][1500/5005] lr: 1.2042e-06 eta: 0:45:28 time: 0.0786 data_time: 0.0187 memory: 1684 loss: 1.2601 2023/04/03 05:33:19 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:33:25 - mmengine - INFO - Epoch(train) [94][1600/5005] lr: 1.2042e-06 eta: 0:45:20 time: 0.0783 data_time: 0.0192 memory: 1684 loss: 1.0836 2023/04/03 05:33:33 - mmengine - INFO - Epoch(train) [94][1700/5005] lr: 1.2042e-06 eta: 0:45:11 time: 0.0808 data_time: 0.0192 memory: 1684 loss: 1.2643 2023/04/03 05:33:41 - mmengine - INFO - Epoch(train) [94][1800/5005] lr: 1.2042e-06 eta: 0:45:03 time: 0.0933 data_time: 0.0283 memory: 1684 loss: 1.1992 2023/04/03 05:33:50 - mmengine - INFO - Epoch(train) [94][1900/5005] lr: 1.2042e-06 eta: 0:44:55 time: 0.0811 data_time: 0.0199 memory: 1684 loss: 1.1201 2023/04/03 05:33:58 - mmengine - INFO - Epoch(train) [94][2000/5005] lr: 1.2042e-06 eta: 0:44:47 time: 0.0776 data_time: 0.0200 memory: 1684 loss: 1.1788 2023/04/03 05:34:06 - mmengine - INFO - Epoch(train) [94][2100/5005] lr: 1.2042e-06 eta: 0:44:39 time: 0.1108 data_time: 0.0416 memory: 1684 loss: 1.1066 2023/04/03 05:34:15 - mmengine - INFO - Epoch(train) [94][2200/5005] lr: 1.2042e-06 eta: 0:44:31 time: 0.0798 data_time: 0.0185 memory: 1684 loss: 1.1168 2023/04/03 05:34:23 - mmengine - INFO - Epoch(train) [94][2300/5005] lr: 1.2042e-06 eta: 0:44:23 time: 0.0822 data_time: 0.0197 memory: 1684 loss: 1.1199 2023/04/03 05:34:31 - mmengine - INFO - Epoch(train) [94][2400/5005] lr: 1.2042e-06 eta: 0:44:15 time: 0.0893 data_time: 0.0295 memory: 1684 loss: 1.1784 2023/04/03 05:34:39 - mmengine - INFO - Epoch(train) [94][2500/5005] lr: 1.2042e-06 eta: 0:44:06 time: 0.0842 data_time: 0.0187 memory: 1684 loss: 1.1747 2023/04/03 05:34:42 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:34:48 - mmengine - INFO - Epoch(train) [94][2600/5005] lr: 1.2042e-06 eta: 0:43:58 time: 0.0771 data_time: 0.0191 memory: 1684 loss: 1.2372 2023/04/03 05:34:56 - mmengine - INFO - Epoch(train) [94][2700/5005] lr: 1.2042e-06 eta: 0:43:50 time: 0.0876 data_time: 0.0193 memory: 1684 loss: 1.0530 2023/04/03 05:35:04 - mmengine - INFO - Epoch(train) [94][2800/5005] lr: 1.2042e-06 eta: 0:43:42 time: 0.0778 data_time: 0.0185 memory: 1684 loss: 1.3916 2023/04/03 05:35:13 - mmengine - INFO - Epoch(train) [94][2900/5005] lr: 1.2042e-06 eta: 0:43:34 time: 0.0785 data_time: 0.0190 memory: 1684 loss: 1.3829 2023/04/03 05:35:21 - mmengine - INFO - Epoch(train) [94][3000/5005] lr: 1.2042e-06 eta: 0:43:26 time: 0.0807 data_time: 0.0192 memory: 1684 loss: 1.1924 2023/04/03 05:35:29 - mmengine - INFO - Epoch(train) [94][3100/5005] lr: 1.2042e-06 eta: 0:43:18 time: 0.0806 data_time: 0.0189 memory: 1684 loss: 0.9576 2023/04/03 05:35:38 - mmengine - INFO - Epoch(train) [94][3200/5005] lr: 1.2042e-06 eta: 0:43:09 time: 0.0784 data_time: 0.0181 memory: 1684 loss: 1.1838 2023/04/03 05:35:46 - mmengine - INFO - Epoch(train) [94][3300/5005] lr: 1.2042e-06 eta: 0:43:01 time: 0.0780 data_time: 0.0188 memory: 1684 loss: 1.4089 2023/04/03 05:35:54 - mmengine - INFO - Epoch(train) [94][3400/5005] lr: 1.2042e-06 eta: 0:42:53 time: 0.0812 data_time: 0.0210 memory: 1684 loss: 1.0960 2023/04/03 05:36:02 - mmengine - INFO - Epoch(train) [94][3500/5005] lr: 1.2042e-06 eta: 0:42:45 time: 0.0807 data_time: 0.0189 memory: 1684 loss: 1.3527 2023/04/03 05:36:05 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:36:11 - mmengine - INFO - Epoch(train) [94][3600/5005] lr: 1.2042e-06 eta: 0:42:37 time: 0.0789 data_time: 0.0190 memory: 1684 loss: 1.0685 2023/04/03 05:36:19 - mmengine - INFO - Epoch(train) [94][3700/5005] lr: 1.2042e-06 eta: 0:42:29 time: 0.0825 data_time: 0.0193 memory: 1684 loss: 1.2228 2023/04/03 05:36:27 - mmengine - INFO - Epoch(train) [94][3800/5005] lr: 1.2042e-06 eta: 0:42:21 time: 0.0990 data_time: 0.0313 memory: 1684 loss: 1.2531 2023/04/03 05:36:36 - mmengine - INFO - Epoch(train) [94][3900/5005] lr: 1.2042e-06 eta: 0:42:13 time: 0.0778 data_time: 0.0190 memory: 1684 loss: 1.2784 2023/04/03 05:36:44 - mmengine - INFO - Epoch(train) [94][4000/5005] lr: 1.2042e-06 eta: 0:42:04 time: 0.0900 data_time: 0.0191 memory: 1684 loss: 1.4600 2023/04/03 05:36:52 - mmengine - INFO - Epoch(train) [94][4100/5005] lr: 1.2042e-06 eta: 0:41:56 time: 0.0793 data_time: 0.0194 memory: 1684 loss: 1.1349 2023/04/03 05:37:01 - mmengine - INFO - Epoch(train) [94][4200/5005] lr: 1.2042e-06 eta: 0:41:48 time: 0.0800 data_time: 0.0195 memory: 1684 loss: 1.1053 2023/04/03 05:37:10 - mmengine - INFO - Epoch(train) [94][4300/5005] lr: 1.2042e-06 eta: 0:41:40 time: 0.0907 data_time: 0.0192 memory: 1684 loss: 1.3036 2023/04/03 05:37:18 - mmengine - INFO - Epoch(train) [94][4400/5005] lr: 1.2042e-06 eta: 0:41:32 time: 0.0838 data_time: 0.0190 memory: 1684 loss: 1.2369 2023/04/03 05:37:27 - mmengine - INFO - Epoch(train) [94][4500/5005] lr: 1.2042e-06 eta: 0:41:24 time: 0.0780 data_time: 0.0190 memory: 1684 loss: 1.3885 2023/04/03 05:37:30 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:37:35 - mmengine - INFO - Epoch(train) [94][4600/5005] lr: 1.2042e-06 eta: 0:41:16 time: 0.0818 data_time: 0.0188 memory: 1684 loss: 1.3564 2023/04/03 05:37:44 - mmengine - INFO - Epoch(train) [94][4700/5005] lr: 1.2042e-06 eta: 0:41:08 time: 0.0839 data_time: 0.0190 memory: 1684 loss: 1.2314 2023/04/03 05:37:52 - mmengine - INFO - Epoch(train) [94][4800/5005] lr: 1.2042e-06 eta: 0:40:59 time: 0.0808 data_time: 0.0189 memory: 1684 loss: 1.1947 2023/04/03 05:38:01 - mmengine - INFO - Epoch(train) [94][4900/5005] lr: 1.2042e-06 eta: 0:40:51 time: 0.0790 data_time: 0.0188 memory: 1684 loss: 1.3596 2023/04/03 05:38:10 - mmengine - INFO - Epoch(train) [94][5000/5005] lr: 1.2042e-06 eta: 0:40:43 time: 0.0776 data_time: 0.0196 memory: 1684 loss: 1.1604 2023/04/03 05:38:10 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:38:10 - mmengine - INFO - Saving checkpoint at 94 epochs 2023/04/03 05:38:16 - mmengine - INFO - Epoch(val) [94][100/196] eta: 0:00:03 time: 0.0348 data_time: 0.0084 memory: 1684 2023/04/03 05:38:28 - mmengine - INFO - Epoch(val) [94][196/196] qat.accuracy/top1: 69.9720 qat.accuracy/top5: 89.3380data_time: 0.0071 time: 0.0312 2023/04/03 05:38:33 - mmengine - INFO - Epoch(val) [94][100/196] eta: 0:00:03 time: 0.0361 data_time: 0.0078 memory: 513 2023/04/03 05:38:46 - mmengine - INFO - Epoch(val) [94][196/196] qat.accuracy/top1: 69.8560 qat.accuracy/top5: 89.2740data_time: 0.0066 time: 0.0331 2023/04/03 05:38:49 - mmengine - INFO - Epoch(val) [94][100/196] eta: 0:00:02 time: 0.0231 data_time: 0.0123 memory: 470 2023/04/03 05:39:01 - mmengine - INFO - Epoch(val) [94][196/196] original.accuracy/top1: 69.7780 original.accuracy/top5: 89.2620data_time: 0.0345 time: 0.0445 2023/04/03 05:39:11 - mmengine - INFO - Epoch(train) [95][ 100/5005] lr: 8.8564e-07 eta: 0:40:35 time: 0.0837 data_time: 0.0181 memory: 1735 loss: 1.1618 2023/04/03 05:39:20 - mmengine - INFO - Epoch(train) [95][ 200/5005] lr: 8.8564e-07 eta: 0:40:27 time: 0.0826 data_time: 0.0182 memory: 1735 loss: 1.2509 2023/04/03 05:39:29 - mmengine - INFO - Epoch(train) [95][ 300/5005] lr: 8.8564e-07 eta: 0:40:19 time: 0.0940 data_time: 0.0337 memory: 1735 loss: 1.2978 2023/04/03 05:39:37 - mmengine - INFO - Epoch(train) [95][ 400/5005] lr: 8.8564e-07 eta: 0:40:10 time: 0.0808 data_time: 0.0181 memory: 1684 loss: 1.1434 2023/04/03 05:39:46 - mmengine - INFO - Epoch(train) [95][ 500/5005] lr: 8.8564e-07 eta: 0:40:02 time: 0.0982 data_time: 0.0178 memory: 1684 loss: 1.2538 2023/04/03 05:39:49 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:39:55 - mmengine - INFO - Epoch(train) [95][ 600/5005] lr: 8.8564e-07 eta: 0:39:54 time: 0.0799 data_time: 0.0182 memory: 1684 loss: 1.1597 2023/04/03 05:40:03 - mmengine - INFO - Epoch(train) [95][ 700/5005] lr: 8.8564e-07 eta: 0:39:46 time: 0.0911 data_time: 0.0175 memory: 1684 loss: 1.3495 2023/04/03 05:40:12 - mmengine - INFO - Epoch(train) [95][ 800/5005] lr: 8.8564e-07 eta: 0:39:38 time: 0.0890 data_time: 0.0179 memory: 1684 loss: 1.1751 2023/04/03 05:40:20 - mmengine - INFO - Epoch(train) [95][ 900/5005] lr: 8.8564e-07 eta: 0:39:30 time: 0.0817 data_time: 0.0182 memory: 1684 loss: 1.3156 2023/04/03 05:40:29 - mmengine - INFO - Epoch(train) [95][1000/5005] lr: 8.8564e-07 eta: 0:39:22 time: 0.0932 data_time: 0.0180 memory: 1684 loss: 1.2521 2023/04/03 05:40:37 - mmengine - INFO - Epoch(train) [95][1100/5005] lr: 8.8564e-07 eta: 0:39:14 time: 0.0830 data_time: 0.0178 memory: 1684 loss: 1.3644 2023/04/03 05:40:46 - mmengine - INFO - Epoch(train) [95][1200/5005] lr: 8.8564e-07 eta: 0:39:06 time: 0.0803 data_time: 0.0184 memory: 1684 loss: 1.1656 2023/04/03 05:40:55 - mmengine - INFO - Epoch(train) [95][1300/5005] lr: 8.8564e-07 eta: 0:38:57 time: 0.0794 data_time: 0.0181 memory: 1684 loss: 1.0956 2023/04/03 05:41:03 - mmengine - INFO - Epoch(train) [95][1400/5005] lr: 8.8564e-07 eta: 0:38:49 time: 0.0932 data_time: 0.0291 memory: 1684 loss: 1.2489 2023/04/03 05:41:11 - mmengine - INFO - Epoch(train) [95][1500/5005] lr: 8.8564e-07 eta: 0:38:41 time: 0.0787 data_time: 0.0180 memory: 1684 loss: 1.1909 2023/04/03 05:41:14 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:41:20 - mmengine - INFO - Epoch(train) [95][1600/5005] lr: 8.8564e-07 eta: 0:38:33 time: 0.0782 data_time: 0.0181 memory: 1684 loss: 1.0016 2023/04/03 05:41:28 - mmengine - INFO - Epoch(train) [95][1700/5005] lr: 8.8564e-07 eta: 0:38:25 time: 0.0791 data_time: 0.0183 memory: 1684 loss: 1.3152 2023/04/03 05:41:37 - mmengine - INFO - Epoch(train) [95][1800/5005] lr: 8.8564e-07 eta: 0:38:17 time: 0.0799 data_time: 0.0179 memory: 1684 loss: 1.1421 2023/04/03 05:41:45 - mmengine - INFO - Epoch(train) [95][1900/5005] lr: 8.8564e-07 eta: 0:38:09 time: 0.0812 data_time: 0.0181 memory: 1684 loss: 1.2006 2023/04/03 05:41:54 - mmengine - INFO - Epoch(train) [95][2000/5005] lr: 8.8564e-07 eta: 0:38:01 time: 0.0854 data_time: 0.0178 memory: 1684 loss: 1.2330 2023/04/03 05:42:03 - mmengine - INFO - Epoch(train) [95][2100/5005] lr: 8.8564e-07 eta: 0:37:52 time: 0.0801 data_time: 0.0188 memory: 1684 loss: 0.9909 2023/04/03 05:42:11 - mmengine - INFO - Epoch(train) [95][2200/5005] lr: 8.8564e-07 eta: 0:37:44 time: 0.0864 data_time: 0.0186 memory: 1684 loss: 1.1824 2023/04/03 05:42:20 - mmengine - INFO - Epoch(train) [95][2300/5005] lr: 8.8564e-07 eta: 0:37:36 time: 0.0829 data_time: 0.0177 memory: 1684 loss: 1.0925 2023/04/03 05:42:28 - mmengine - INFO - Epoch(train) [95][2400/5005] lr: 8.8564e-07 eta: 0:37:28 time: 0.0797 data_time: 0.0178 memory: 1684 loss: 1.1006 2023/04/03 05:42:36 - mmengine - INFO - Epoch(train) [95][2500/5005] lr: 8.8564e-07 eta: 0:37:20 time: 0.0953 data_time: 0.0179 memory: 1684 loss: 1.2102 2023/04/03 05:42:39 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:42:45 - mmengine - INFO - Epoch(train) [95][2600/5005] lr: 8.8564e-07 eta: 0:37:12 time: 0.0793 data_time: 0.0179 memory: 1684 loss: 1.2173 2023/04/03 05:42:53 - mmengine - INFO - Epoch(train) [95][2700/5005] lr: 8.8564e-07 eta: 0:37:04 time: 0.0777 data_time: 0.0179 memory: 1684 loss: 1.1263 2023/04/03 05:43:01 - mmengine - INFO - Epoch(train) [95][2800/5005] lr: 8.8564e-07 eta: 0:36:56 time: 0.0910 data_time: 0.0179 memory: 1684 loss: 1.2377 2023/04/03 05:43:10 - mmengine - INFO - Epoch(train) [95][2900/5005] lr: 8.8564e-07 eta: 0:36:47 time: 0.0811 data_time: 0.0179 memory: 1684 loss: 1.2231 2023/04/03 05:43:18 - mmengine - INFO - Epoch(train) [95][3000/5005] lr: 8.8564e-07 eta: 0:36:39 time: 0.0794 data_time: 0.0180 memory: 1684 loss: 1.2169 2023/04/03 05:43:26 - mmengine - INFO - Epoch(train) [95][3100/5005] lr: 8.8564e-07 eta: 0:36:31 time: 0.0778 data_time: 0.0180 memory: 1684 loss: 1.1200 2023/04/03 05:43:35 - mmengine - INFO - Epoch(train) [95][3200/5005] lr: 8.8564e-07 eta: 0:36:23 time: 0.0801 data_time: 0.0185 memory: 1684 loss: 1.0994 2023/04/03 05:43:43 - mmengine - INFO - Epoch(train) [95][3300/5005] lr: 8.8564e-07 eta: 0:36:15 time: 0.0767 data_time: 0.0180 memory: 1684 loss: 1.0685 2023/04/03 05:43:51 - mmengine - INFO - Epoch(train) [95][3400/5005] lr: 8.8564e-07 eta: 0:36:07 time: 0.0861 data_time: 0.0178 memory: 1684 loss: 1.4310 2023/04/03 05:44:00 - mmengine - INFO - Epoch(train) [95][3500/5005] lr: 8.8564e-07 eta: 0:35:59 time: 0.0791 data_time: 0.0179 memory: 1684 loss: 1.1114 2023/04/03 05:44:02 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:44:08 - mmengine - INFO - Epoch(train) [95][3600/5005] lr: 8.8564e-07 eta: 0:35:50 time: 0.0874 data_time: 0.0191 memory: 1684 loss: 1.1622 2023/04/03 05:44:16 - mmengine - INFO - Epoch(train) [95][3700/5005] lr: 8.8564e-07 eta: 0:35:42 time: 0.0966 data_time: 0.0179 memory: 1684 loss: 1.1793 2023/04/03 05:44:25 - mmengine - INFO - Epoch(train) [95][3800/5005] lr: 8.8564e-07 eta: 0:35:34 time: 0.0780 data_time: 0.0179 memory: 1684 loss: 1.2807 2023/04/03 05:44:33 - mmengine - INFO - Epoch(train) [95][3900/5005] lr: 8.8564e-07 eta: 0:35:26 time: 0.0800 data_time: 0.0179 memory: 1684 loss: 1.3327 2023/04/03 05:44:42 - mmengine - INFO - Epoch(train) [95][4000/5005] lr: 8.8564e-07 eta: 0:35:18 time: 0.1040 data_time: 0.0180 memory: 1684 loss: 1.3195 2023/04/03 05:44:51 - mmengine - INFO - Epoch(train) [95][4100/5005] lr: 8.8564e-07 eta: 0:35:10 time: 0.0788 data_time: 0.0180 memory: 1684 loss: 1.0351 2023/04/03 05:44:59 - mmengine - INFO - Epoch(train) [95][4200/5005] lr: 8.8564e-07 eta: 0:35:02 time: 0.0820 data_time: 0.0177 memory: 1684 loss: 1.1744 2023/04/03 05:45:08 - mmengine - INFO - Epoch(train) [95][4300/5005] lr: 8.8564e-07 eta: 0:34:54 time: 0.0839 data_time: 0.0194 memory: 1684 loss: 1.1847 2023/04/03 05:45:16 - mmengine - INFO - Epoch(train) [95][4400/5005] lr: 8.8564e-07 eta: 0:34:45 time: 0.0798 data_time: 0.0194 memory: 1684 loss: 1.0685 2023/04/03 05:45:25 - mmengine - INFO - Epoch(train) [95][4500/5005] lr: 8.8564e-07 eta: 0:34:37 time: 0.0965 data_time: 0.0177 memory: 1684 loss: 1.2574 2023/04/03 05:45:27 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:45:33 - mmengine - INFO - Epoch(train) [95][4600/5005] lr: 8.8564e-07 eta: 0:34:29 time: 0.0810 data_time: 0.0178 memory: 1684 loss: 1.0488 2023/04/03 05:45:41 - mmengine - INFO - Epoch(train) [95][4700/5005] lr: 8.8564e-07 eta: 0:34:21 time: 0.0797 data_time: 0.0181 memory: 1684 loss: 1.1759 2023/04/03 05:45:50 - mmengine - INFO - Epoch(train) [95][4800/5005] lr: 8.8564e-07 eta: 0:34:13 time: 0.0810 data_time: 0.0179 memory: 1684 loss: 1.1986 2023/04/03 05:45:58 - mmengine - INFO - Epoch(train) [95][4900/5005] lr: 8.8564e-07 eta: 0:34:05 time: 0.0830 data_time: 0.0182 memory: 1684 loss: 1.2300 2023/04/03 05:46:07 - mmengine - INFO - Epoch(train) [95][5000/5005] lr: 8.8564e-07 eta: 0:33:57 time: 0.0828 data_time: 0.0187 memory: 1684 loss: 1.2651 2023/04/03 05:46:07 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:46:07 - mmengine - INFO - Saving checkpoint at 95 epochs 2023/04/03 05:46:13 - mmengine - INFO - Epoch(val) [95][100/196] eta: 0:00:03 time: 0.0340 data_time: 0.0077 memory: 1684 2023/04/03 05:46:25 - mmengine - INFO - Epoch(val) [95][196/196] qat.accuracy/top1: 69.9540 qat.accuracy/top5: 89.2780data_time: 0.0091 time: 0.0325 2023/04/03 05:46:29 - mmengine - INFO - Epoch(val) [95][100/196] eta: 0:00:03 time: 0.0357 data_time: 0.0077 memory: 513 2023/04/03 05:46:43 - mmengine - INFO - Epoch(val) [95][196/196] qat.accuracy/top1: 69.9340 qat.accuracy/top5: 89.3240data_time: 0.0070 time: 0.0332 2023/04/03 05:46:46 - mmengine - INFO - Epoch(val) [95][100/196] eta: 0:00:02 time: 0.0254 data_time: 0.0148 memory: 470 2023/04/03 05:46:59 - mmengine - INFO - Epoch(val) [95][196/196] original.accuracy/top1: 69.7640 original.accuracy/top5: 89.2500data_time: 0.0333 time: 0.0435 2023/04/03 05:47:08 - mmengine - INFO - Epoch(train) [96][ 100/5005] lr: 6.1558e-07 eta: 0:33:48 time: 0.0827 data_time: 0.0188 memory: 1735 loss: 1.0509 2023/04/03 05:47:17 - mmengine - INFO - Epoch(train) [96][ 200/5005] lr: 6.1558e-07 eta: 0:33:40 time: 0.0778 data_time: 0.0191 memory: 1735 loss: 1.3548 2023/04/03 05:47:26 - mmengine - INFO - Epoch(train) [96][ 300/5005] lr: 6.1558e-07 eta: 0:33:32 time: 0.0936 data_time: 0.0192 memory: 1735 loss: 1.2322 2023/04/03 05:47:34 - mmengine - INFO - Epoch(train) [96][ 400/5005] lr: 6.1558e-07 eta: 0:33:24 time: 0.1031 data_time: 0.0198 memory: 1735 loss: 1.2341 2023/04/03 05:47:42 - mmengine - INFO - Epoch(train) [96][ 500/5005] lr: 6.1558e-07 eta: 0:33:16 time: 0.0863 data_time: 0.0187 memory: 1735 loss: 1.2942 2023/04/03 05:47:45 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:47:52 - mmengine - INFO - Epoch(train) [96][ 600/5005] lr: 6.1558e-07 eta: 0:33:08 time: 0.0829 data_time: 0.0186 memory: 1735 loss: 1.3125 2023/04/03 05:48:00 - mmengine - INFO - Epoch(train) [96][ 700/5005] lr: 6.1558e-07 eta: 0:32:59 time: 0.0788 data_time: 0.0187 memory: 1735 loss: 1.3221 2023/04/03 05:48:08 - mmengine - INFO - Epoch(train) [96][ 800/5005] lr: 6.1558e-07 eta: 0:32:51 time: 0.0894 data_time: 0.0185 memory: 1735 loss: 1.3111 2023/04/03 05:48:17 - mmengine - INFO - Epoch(train) [96][ 900/5005] lr: 6.1558e-07 eta: 0:32:43 time: 0.0983 data_time: 0.0397 memory: 1735 loss: 1.1236 2023/04/03 05:48:25 - mmengine - INFO - Epoch(train) [96][1000/5005] lr: 6.1558e-07 eta: 0:32:35 time: 0.0787 data_time: 0.0184 memory: 1735 loss: 1.2316 2023/04/03 05:48:33 - mmengine - INFO - Epoch(train) [96][1100/5005] lr: 6.1558e-07 eta: 0:32:27 time: 0.0788 data_time: 0.0200 memory: 1735 loss: 1.0658 2023/04/03 05:48:41 - mmengine - INFO - Epoch(train) [96][1200/5005] lr: 6.1558e-07 eta: 0:32:19 time: 0.0814 data_time: 0.0181 memory: 1684 loss: 1.2644 2023/04/03 05:48:50 - mmengine - INFO - Epoch(train) [96][1300/5005] lr: 6.1558e-07 eta: 0:32:11 time: 0.0781 data_time: 0.0184 memory: 1684 loss: 1.2503 2023/04/03 05:48:58 - mmengine - INFO - Epoch(train) [96][1400/5005] lr: 6.1558e-07 eta: 0:32:03 time: 0.0774 data_time: 0.0181 memory: 1684 loss: 1.2361 2023/04/03 05:49:06 - mmengine - INFO - Epoch(train) [96][1500/5005] lr: 6.1558e-07 eta: 0:31:54 time: 0.0920 data_time: 0.0338 memory: 1684 loss: 1.2749 2023/04/03 05:49:08 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:49:15 - mmengine - INFO - Epoch(train) [96][1600/5005] lr: 6.1558e-07 eta: 0:31:46 time: 0.0810 data_time: 0.0197 memory: 1684 loss: 1.1784 2023/04/03 05:49:23 - mmengine - INFO - Epoch(train) [96][1700/5005] lr: 6.1558e-07 eta: 0:31:38 time: 0.0809 data_time: 0.0185 memory: 1684 loss: 1.2380 2023/04/03 05:49:32 - mmengine - INFO - Epoch(train) [96][1800/5005] lr: 6.1558e-07 eta: 0:31:30 time: 0.0797 data_time: 0.0179 memory: 1684 loss: 1.3007 2023/04/03 05:49:40 - mmengine - INFO - Epoch(train) [96][1900/5005] lr: 6.1558e-07 eta: 0:31:22 time: 0.0826 data_time: 0.0188 memory: 1684 loss: 1.1220 2023/04/03 05:49:48 - mmengine - INFO - Epoch(train) [96][2000/5005] lr: 6.1558e-07 eta: 0:31:14 time: 0.0803 data_time: 0.0191 memory: 1684 loss: 1.1767 2023/04/03 05:49:58 - mmengine - INFO - Epoch(train) [96][2100/5005] lr: 6.1558e-07 eta: 0:31:06 time: 0.0888 data_time: 0.0179 memory: 1684 loss: 1.1558 2023/04/03 05:50:06 - mmengine - INFO - Epoch(train) [96][2200/5005] lr: 6.1558e-07 eta: 0:30:57 time: 0.0779 data_time: 0.0193 memory: 1684 loss: 1.2609 2023/04/03 05:50:14 - mmengine - INFO - Epoch(train) [96][2300/5005] lr: 6.1558e-07 eta: 0:30:49 time: 0.0820 data_time: 0.0189 memory: 1684 loss: 1.1315 2023/04/03 05:50:22 - mmengine - INFO - Epoch(train) [96][2400/5005] lr: 6.1558e-07 eta: 0:30:41 time: 0.0799 data_time: 0.0181 memory: 1684 loss: 1.3966 2023/04/03 05:50:31 - mmengine - INFO - Epoch(train) [96][2500/5005] lr: 6.1558e-07 eta: 0:30:33 time: 0.0794 data_time: 0.0188 memory: 1684 loss: 1.0576 2023/04/03 05:50:33 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:50:39 - mmengine - INFO - Epoch(train) [96][2600/5005] lr: 6.1558e-07 eta: 0:30:25 time: 0.0807 data_time: 0.0184 memory: 1684 loss: 1.2210 2023/04/03 05:50:48 - mmengine - INFO - Epoch(train) [96][2700/5005] lr: 6.1558e-07 eta: 0:30:17 time: 0.0782 data_time: 0.0180 memory: 1684 loss: 1.0927 2023/04/03 05:50:56 - mmengine - INFO - Epoch(train) [96][2800/5005] lr: 6.1558e-07 eta: 0:30:09 time: 0.0832 data_time: 0.0184 memory: 1684 loss: 1.2412 2023/04/03 05:51:04 - mmengine - INFO - Epoch(train) [96][2900/5005] lr: 6.1558e-07 eta: 0:30:01 time: 0.0790 data_time: 0.0187 memory: 1684 loss: 1.1284 2023/04/03 05:51:13 - mmengine - INFO - Epoch(train) [96][3000/5005] lr: 6.1558e-07 eta: 0:29:52 time: 0.0855 data_time: 0.0179 memory: 1684 loss: 1.2112 2023/04/03 05:51:21 - mmengine - INFO - Epoch(train) [96][3100/5005] lr: 6.1558e-07 eta: 0:29:44 time: 0.0782 data_time: 0.0195 memory: 1684 loss: 1.3491 2023/04/03 05:51:30 - mmengine - INFO - Epoch(train) [96][3200/5005] lr: 6.1558e-07 eta: 0:29:36 time: 0.0793 data_time: 0.0183 memory: 1684 loss: 1.0880 2023/04/03 05:51:38 - mmengine - INFO - Epoch(train) [96][3300/5005] lr: 6.1558e-07 eta: 0:29:28 time: 0.0795 data_time: 0.0188 memory: 1684 loss: 1.0911 2023/04/03 05:51:46 - mmengine - INFO - Epoch(train) [96][3400/5005] lr: 6.1558e-07 eta: 0:29:20 time: 0.0799 data_time: 0.0186 memory: 1684 loss: 1.3033 2023/04/03 05:51:55 - mmengine - INFO - Epoch(train) [96][3500/5005] lr: 6.1558e-07 eta: 0:29:12 time: 0.0811 data_time: 0.0204 memory: 1684 loss: 1.3518 2023/04/03 05:51:57 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:52:03 - mmengine - INFO - Epoch(train) [96][3600/5005] lr: 6.1558e-07 eta: 0:29:04 time: 0.0775 data_time: 0.0182 memory: 1684 loss: 1.2278 2023/04/03 05:52:11 - mmengine - INFO - Epoch(train) [96][3700/5005] lr: 6.1558e-07 eta: 0:28:55 time: 0.0945 data_time: 0.0181 memory: 1684 loss: 1.2525 2023/04/03 05:52:20 - mmengine - INFO - Epoch(train) [96][3800/5005] lr: 6.1558e-07 eta: 0:28:47 time: 0.0791 data_time: 0.0177 memory: 1684 loss: 1.2554 2023/04/03 05:52:28 - mmengine - INFO - Epoch(train) [96][3900/5005] lr: 6.1558e-07 eta: 0:28:39 time: 0.0812 data_time: 0.0186 memory: 1684 loss: 1.4232 2023/04/03 05:52:37 - mmengine - INFO - Epoch(train) [96][4000/5005] lr: 6.1558e-07 eta: 0:28:31 time: 0.0814 data_time: 0.0181 memory: 1684 loss: 1.2735 2023/04/03 05:52:46 - mmengine - INFO - Epoch(train) [96][4100/5005] lr: 6.1558e-07 eta: 0:28:23 time: 0.0820 data_time: 0.0194 memory: 1684 loss: 1.3696 2023/04/03 05:52:55 - mmengine - INFO - Epoch(train) [96][4200/5005] lr: 6.1558e-07 eta: 0:28:15 time: 0.0784 data_time: 0.0185 memory: 1684 loss: 1.1565 2023/04/03 05:53:03 - mmengine - INFO - Epoch(train) [96][4300/5005] lr: 6.1558e-07 eta: 0:28:07 time: 0.0784 data_time: 0.0186 memory: 1684 loss: 1.1569 2023/04/03 05:53:11 - mmengine - INFO - Epoch(train) [96][4400/5005] lr: 6.1558e-07 eta: 0:27:59 time: 0.0781 data_time: 0.0184 memory: 1684 loss: 1.3862 2023/04/03 05:53:19 - mmengine - INFO - Epoch(train) [96][4500/5005] lr: 6.1558e-07 eta: 0:27:50 time: 0.0769 data_time: 0.0188 memory: 1684 loss: 1.1852 2023/04/03 05:53:21 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:53:27 - mmengine - INFO - Epoch(train) [96][4600/5005] lr: 6.1558e-07 eta: 0:27:42 time: 0.0830 data_time: 0.0191 memory: 1684 loss: 1.2139 2023/04/03 05:53:36 - mmengine - INFO - Epoch(train) [96][4700/5005] lr: 6.1558e-07 eta: 0:27:34 time: 0.0801 data_time: 0.0186 memory: 1684 loss: 1.0937 2023/04/03 05:53:44 - mmengine - INFO - Epoch(train) [96][4800/5005] lr: 6.1558e-07 eta: 0:27:26 time: 0.0780 data_time: 0.0180 memory: 1684 loss: 1.1824 2023/04/03 05:53:52 - mmengine - INFO - Epoch(train) [96][4900/5005] lr: 6.1558e-07 eta: 0:27:18 time: 0.0808 data_time: 0.0175 memory: 1684 loss: 1.0593 2023/04/03 05:54:01 - mmengine - INFO - Epoch(train) [96][5000/5005] lr: 6.1558e-07 eta: 0:27:10 time: 0.0790 data_time: 0.0185 memory: 1684 loss: 1.2391 2023/04/03 05:54:01 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:54:01 - mmengine - INFO - Saving checkpoint at 96 epochs 2023/04/03 05:54:07 - mmengine - INFO - Epoch(val) [96][100/196] eta: 0:00:03 time: 0.0321 data_time: 0.0072 memory: 1684 2023/04/03 05:54:19 - mmengine - INFO - Epoch(val) [96][196/196] qat.accuracy/top1: 69.9840 qat.accuracy/top5: 89.2800data_time: 0.0114 time: 0.0359 2023/04/03 05:54:24 - mmengine - INFO - Epoch(val) [96][100/196] eta: 0:00:03 time: 0.0355 data_time: 0.0080 memory: 513 2023/04/03 05:54:37 - mmengine - INFO - Epoch(val) [96][196/196] qat.accuracy/top1: 69.9040 qat.accuracy/top5: 89.2600data_time: 0.0076 time: 0.0347 2023/04/03 05:54:40 - mmengine - INFO - Epoch(val) [96][100/196] eta: 0:00:02 time: 0.0250 data_time: 0.0136 memory: 470 2023/04/03 05:54:53 - mmengine - INFO - Epoch(val) [96][196/196] original.accuracy/top1: 69.7640 original.accuracy/top5: 89.2320data_time: 0.0339 time: 0.0440 2023/04/03 05:55:02 - mmengine - INFO - Epoch(train) [97][ 100/5005] lr: 3.9426e-07 eta: 0:27:01 time: 0.0817 data_time: 0.0188 memory: 1735 loss: 1.3751 2023/04/03 05:55:11 - mmengine - INFO - Epoch(train) [97][ 200/5005] lr: 3.9426e-07 eta: 0:26:53 time: 0.0807 data_time: 0.0182 memory: 1684 loss: 1.1218 2023/04/03 05:55:19 - mmengine - INFO - Epoch(train) [97][ 300/5005] lr: 3.9426e-07 eta: 0:26:45 time: 0.0772 data_time: 0.0179 memory: 1684 loss: 1.1292 2023/04/03 05:55:28 - mmengine - INFO - Epoch(train) [97][ 400/5005] lr: 3.9426e-07 eta: 0:26:37 time: 0.0932 data_time: 0.0189 memory: 1684 loss: 1.1838 2023/04/03 05:55:36 - mmengine - INFO - Epoch(train) [97][ 500/5005] lr: 3.9426e-07 eta: 0:26:29 time: 0.0935 data_time: 0.0192 memory: 1684 loss: 1.0830 2023/04/03 05:55:38 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:55:44 - mmengine - INFO - Epoch(train) [97][ 600/5005] lr: 3.9426e-07 eta: 0:26:21 time: 0.0810 data_time: 0.0191 memory: 1684 loss: 1.2294 2023/04/03 05:55:53 - mmengine - INFO - Epoch(train) [97][ 700/5005] lr: 3.9426e-07 eta: 0:26:12 time: 0.1190 data_time: 0.0185 memory: 1684 loss: 1.2701 2023/04/03 05:56:01 - mmengine - INFO - Epoch(train) [97][ 800/5005] lr: 3.9426e-07 eta: 0:26:04 time: 0.0790 data_time: 0.0194 memory: 1684 loss: 1.0117 2023/04/03 05:56:09 - mmengine - INFO - Epoch(train) [97][ 900/5005] lr: 3.9426e-07 eta: 0:25:56 time: 0.0932 data_time: 0.0193 memory: 1684 loss: 1.0875 2023/04/03 05:56:18 - mmengine - INFO - Epoch(train) [97][1000/5005] lr: 3.9426e-07 eta: 0:25:48 time: 0.0820 data_time: 0.0186 memory: 1684 loss: 1.2171 2023/04/03 05:56:27 - mmengine - INFO - Epoch(train) [97][1100/5005] lr: 3.9426e-07 eta: 0:25:40 time: 0.0796 data_time: 0.0184 memory: 1684 loss: 1.3970 2023/04/03 05:56:35 - mmengine - INFO - Epoch(train) [97][1200/5005] lr: 3.9426e-07 eta: 0:25:32 time: 0.1010 data_time: 0.0182 memory: 1684 loss: 1.1519 2023/04/03 05:56:43 - mmengine - INFO - Epoch(train) [97][1300/5005] lr: 3.9426e-07 eta: 0:25:24 time: 0.0795 data_time: 0.0185 memory: 1684 loss: 1.3524 2023/04/03 05:56:52 - mmengine - INFO - Epoch(train) [97][1400/5005] lr: 3.9426e-07 eta: 0:25:15 time: 0.0807 data_time: 0.0181 memory: 1684 loss: 1.2805 2023/04/03 05:57:00 - mmengine - INFO - Epoch(train) [97][1500/5005] lr: 3.9426e-07 eta: 0:25:07 time: 0.0791 data_time: 0.0179 memory: 1684 loss: 1.2248 2023/04/03 05:57:02 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:57:08 - mmengine - INFO - Epoch(train) [97][1600/5005] lr: 3.9426e-07 eta: 0:24:59 time: 0.0801 data_time: 0.0182 memory: 1684 loss: 1.4610 2023/04/03 05:57:17 - mmengine - INFO - Epoch(train) [97][1700/5005] lr: 3.9426e-07 eta: 0:24:51 time: 0.0988 data_time: 0.0183 memory: 1684 loss: 1.2916 2023/04/03 05:57:25 - mmengine - INFO - Epoch(train) [97][1800/5005] lr: 3.9426e-07 eta: 0:24:43 time: 0.0791 data_time: 0.0175 memory: 1684 loss: 1.1869 2023/04/03 05:57:34 - mmengine - INFO - Epoch(train) [97][1900/5005] lr: 3.9426e-07 eta: 0:24:35 time: 0.1006 data_time: 0.0183 memory: 1684 loss: 1.2731 2023/04/03 05:57:42 - mmengine - INFO - Epoch(train) [97][2000/5005] lr: 3.9426e-07 eta: 0:24:27 time: 0.0901 data_time: 0.0265 memory: 1684 loss: 1.1129 2023/04/03 05:57:51 - mmengine - INFO - Epoch(train) [97][2100/5005] lr: 3.9426e-07 eta: 0:24:19 time: 0.0894 data_time: 0.0180 memory: 1684 loss: 1.1431 2023/04/03 05:57:59 - mmengine - INFO - Epoch(train) [97][2200/5005] lr: 3.9426e-07 eta: 0:24:10 time: 0.0773 data_time: 0.0179 memory: 1684 loss: 1.3380 2023/04/03 05:58:08 - mmengine - INFO - Epoch(train) [97][2300/5005] lr: 3.9426e-07 eta: 0:24:02 time: 0.0792 data_time: 0.0175 memory: 1684 loss: 1.4502 2023/04/03 05:58:17 - mmengine - INFO - Epoch(train) [97][2400/5005] lr: 3.9426e-07 eta: 0:23:54 time: 0.0803 data_time: 0.0179 memory: 1684 loss: 0.9766 2023/04/03 05:58:25 - mmengine - INFO - Epoch(train) [97][2500/5005] lr: 3.9426e-07 eta: 0:23:46 time: 0.0847 data_time: 0.0180 memory: 1684 loss: 1.1709 2023/04/03 05:58:27 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:58:34 - mmengine - INFO - Epoch(train) [97][2600/5005] lr: 3.9426e-07 eta: 0:23:38 time: 0.0830 data_time: 0.0182 memory: 1684 loss: 1.1887 2023/04/03 05:58:42 - mmengine - INFO - Epoch(train) [97][2700/5005] lr: 3.9426e-07 eta: 0:23:30 time: 0.0799 data_time: 0.0177 memory: 1684 loss: 1.2029 2023/04/03 05:58:51 - mmengine - INFO - Epoch(train) [97][2800/5005] lr: 3.9426e-07 eta: 0:23:22 time: 0.0818 data_time: 0.0183 memory: 1684 loss: 1.2017 2023/04/03 05:58:59 - mmengine - INFO - Epoch(train) [97][2900/5005] lr: 3.9426e-07 eta: 0:23:13 time: 0.0795 data_time: 0.0192 memory: 1684 loss: 1.2396 2023/04/03 05:59:07 - mmengine - INFO - Epoch(train) [97][3000/5005] lr: 3.9426e-07 eta: 0:23:05 time: 0.0819 data_time: 0.0184 memory: 1684 loss: 1.2726 2023/04/03 05:59:15 - mmengine - INFO - Epoch(train) [97][3100/5005] lr: 3.9426e-07 eta: 0:22:57 time: 0.0824 data_time: 0.0189 memory: 1684 loss: 1.2676 2023/04/03 05:59:24 - mmengine - INFO - Epoch(train) [97][3200/5005] lr: 3.9426e-07 eta: 0:22:49 time: 0.0784 data_time: 0.0182 memory: 1684 loss: 1.1949 2023/04/03 05:59:32 - mmengine - INFO - Epoch(train) [97][3300/5005] lr: 3.9426e-07 eta: 0:22:41 time: 0.0790 data_time: 0.0180 memory: 1684 loss: 1.2280 2023/04/03 05:59:40 - mmengine - INFO - Epoch(train) [97][3400/5005] lr: 3.9426e-07 eta: 0:22:33 time: 0.0774 data_time: 0.0180 memory: 1684 loss: 1.1990 2023/04/03 05:59:48 - mmengine - INFO - Epoch(train) [97][3500/5005] lr: 3.9426e-07 eta: 0:22:25 time: 0.0781 data_time: 0.0181 memory: 1684 loss: 0.9954 2023/04/03 05:59:50 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 05:59:56 - mmengine - INFO - Epoch(train) [97][3600/5005] lr: 3.9426e-07 eta: 0:22:16 time: 0.0791 data_time: 0.0181 memory: 1684 loss: 1.2761 2023/04/03 06:00:04 - mmengine - INFO - Epoch(train) [97][3700/5005] lr: 3.9426e-07 eta: 0:22:08 time: 0.0806 data_time: 0.0178 memory: 1684 loss: 1.2378 2023/04/03 06:00:13 - mmengine - INFO - Epoch(train) [97][3800/5005] lr: 3.9426e-07 eta: 0:22:00 time: 0.0829 data_time: 0.0180 memory: 1684 loss: 1.1710 2023/04/03 06:00:21 - mmengine - INFO - Epoch(train) [97][3900/5005] lr: 3.9426e-07 eta: 0:21:52 time: 0.0777 data_time: 0.0185 memory: 1684 loss: 1.1023 2023/04/03 06:00:29 - mmengine - INFO - Epoch(train) [97][4000/5005] lr: 3.9426e-07 eta: 0:21:44 time: 0.0802 data_time: 0.0186 memory: 1684 loss: 1.0433 2023/04/03 06:00:37 - mmengine - INFO - Epoch(train) [97][4100/5005] lr: 3.9426e-07 eta: 0:21:36 time: 0.0782 data_time: 0.0184 memory: 1684 loss: 1.2322 2023/04/03 06:00:46 - mmengine - INFO - Epoch(train) [97][4200/5005] lr: 3.9426e-07 eta: 0:21:28 time: 0.0778 data_time: 0.0173 memory: 1684 loss: 1.0599 2023/04/03 06:00:54 - mmengine - INFO - Epoch(train) [97][4300/5005] lr: 3.9426e-07 eta: 0:21:19 time: 0.1058 data_time: 0.0179 memory: 1684 loss: 1.1838 2023/04/03 06:01:02 - mmengine - INFO - Epoch(train) [97][4400/5005] lr: 3.9426e-07 eta: 0:21:11 time: 0.0921 data_time: 0.0181 memory: 1684 loss: 1.2358 2023/04/03 06:01:10 - mmengine - INFO - Epoch(train) [97][4500/5005] lr: 3.9426e-07 eta: 0:21:03 time: 0.0827 data_time: 0.0178 memory: 1684 loss: 1.5204 2023/04/03 06:01:12 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 06:01:19 - mmengine - INFO - Epoch(train) [97][4600/5005] lr: 3.9426e-07 eta: 0:20:55 time: 0.0781 data_time: 0.0181 memory: 1684 loss: 1.1088 2023/04/03 06:01:27 - mmengine - INFO - Epoch(train) [97][4700/5005] lr: 3.9426e-07 eta: 0:20:47 time: 0.0785 data_time: 0.0191 memory: 1684 loss: 1.2445 2023/04/03 06:01:35 - mmengine - INFO - Epoch(train) [97][4800/5005] lr: 3.9426e-07 eta: 0:20:39 time: 0.0844 data_time: 0.0234 memory: 1684 loss: 1.1947 2023/04/03 06:01:44 - mmengine - INFO - Epoch(train) [97][4900/5005] lr: 3.9426e-07 eta: 0:20:31 time: 0.0918 data_time: 0.0181 memory: 1684 loss: 1.3399 2023/04/03 06:01:52 - mmengine - INFO - Epoch(train) [97][5000/5005] lr: 3.9426e-07 eta: 0:20:22 time: 0.0789 data_time: 0.0189 memory: 1684 loss: 1.1679 2023/04/03 06:01:52 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 06:01:53 - mmengine - INFO - Saving checkpoint at 97 epochs 2023/04/03 06:01:58 - mmengine - INFO - Epoch(val) [97][100/196] eta: 0:00:03 time: 0.0337 data_time: 0.0082 memory: 1684 2023/04/03 06:02:11 - mmengine - INFO - Epoch(val) [97][196/196] qat.accuracy/top1: 69.9560 qat.accuracy/top5: 89.3420data_time: 0.0094 time: 0.0324 2023/04/03 06:02:15 - mmengine - INFO - Epoch(val) [97][100/196] eta: 0:00:03 time: 0.0351 data_time: 0.0077 memory: 513 2023/04/03 06:02:28 - mmengine - INFO - Epoch(val) [97][196/196] qat.accuracy/top1: 69.9260 qat.accuracy/top5: 89.3440data_time: 0.0067 time: 0.0328 2023/04/03 06:02:31 - mmengine - INFO - Epoch(val) [97][100/196] eta: 0:00:02 time: 0.0252 data_time: 0.0146 memory: 470 2023/04/03 06:02:44 - mmengine - INFO - Epoch(val) [97][196/196] original.accuracy/top1: 69.7740 original.accuracy/top5: 89.2560data_time: 0.0321 time: 0.0420 2023/04/03 06:02:53 - mmengine - INFO - Epoch(train) [98][ 100/5005] lr: 2.2190e-07 eta: 0:20:14 time: 0.0848 data_time: 0.0189 memory: 1735 loss: 1.1726 2023/04/03 06:03:01 - mmengine - INFO - Epoch(train) [98][ 200/5005] lr: 2.2190e-07 eta: 0:20:06 time: 0.0775 data_time: 0.0182 memory: 1735 loss: 1.0813 2023/04/03 06:03:09 - mmengine - INFO - Epoch(train) [98][ 300/5005] lr: 2.2190e-07 eta: 0:19:58 time: 0.0775 data_time: 0.0181 memory: 1735 loss: 1.2985 2023/04/03 06:03:17 - mmengine - INFO - Epoch(train) [98][ 400/5005] lr: 2.2190e-07 eta: 0:19:49 time: 0.0834 data_time: 0.0206 memory: 1735 loss: 1.1145 2023/04/03 06:03:26 - mmengine - INFO - Epoch(train) [98][ 500/5005] lr: 2.2190e-07 eta: 0:19:41 time: 0.0766 data_time: 0.0177 memory: 1735 loss: 1.3325 2023/04/03 06:03:27 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 06:03:34 - mmengine - INFO - Epoch(train) [98][ 600/5005] lr: 2.2190e-07 eta: 0:19:33 time: 0.0767 data_time: 0.0183 memory: 1735 loss: 1.0645 2023/04/03 06:03:42 - mmengine - INFO - Epoch(train) [98][ 700/5005] lr: 2.2190e-07 eta: 0:19:25 time: 0.0781 data_time: 0.0183 memory: 1735 loss: 1.3322 2023/04/03 06:03:50 - mmengine - INFO - Epoch(train) [98][ 800/5005] lr: 2.2190e-07 eta: 0:19:17 time: 0.0780 data_time: 0.0188 memory: 1735 loss: 1.1343 2023/04/03 06:03:59 - mmengine - INFO - Epoch(train) [98][ 900/5005] lr: 2.2190e-07 eta: 0:19:09 time: 0.0795 data_time: 0.0193 memory: 1735 loss: 1.2098 2023/04/03 06:04:07 - mmengine - INFO - Epoch(train) [98][1000/5005] lr: 2.2190e-07 eta: 0:19:01 time: 0.0799 data_time: 0.0182 memory: 1735 loss: 1.1065 2023/04/03 06:04:15 - mmengine - INFO - Epoch(train) [98][1100/5005] lr: 2.2190e-07 eta: 0:18:52 time: 0.0775 data_time: 0.0181 memory: 1684 loss: 1.2235 2023/04/03 06:04:23 - mmengine - INFO - Epoch(train) [98][1200/5005] lr: 2.2190e-07 eta: 0:18:44 time: 0.0851 data_time: 0.0205 memory: 1684 loss: 1.3653 2023/04/03 06:04:32 - mmengine - INFO - Epoch(train) [98][1300/5005] lr: 2.2190e-07 eta: 0:18:36 time: 0.0817 data_time: 0.0180 memory: 1684 loss: 1.0736 2023/04/03 06:04:40 - mmengine - INFO - Epoch(train) [98][1400/5005] lr: 2.2190e-07 eta: 0:18:28 time: 0.0830 data_time: 0.0181 memory: 1684 loss: 1.0990 2023/04/03 06:04:49 - mmengine - INFO - Epoch(train) [98][1500/5005] lr: 2.2190e-07 eta: 0:18:20 time: 0.0931 data_time: 0.0177 memory: 1684 loss: 1.2547 2023/04/03 06:04:50 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 06:04:57 - mmengine - INFO - Epoch(train) [98][1600/5005] lr: 2.2190e-07 eta: 0:18:12 time: 0.0794 data_time: 0.0182 memory: 1684 loss: 1.2325 2023/04/03 06:05:05 - mmengine - INFO - Epoch(train) [98][1700/5005] lr: 2.2190e-07 eta: 0:18:04 time: 0.0784 data_time: 0.0180 memory: 1684 loss: 1.2121 2023/04/03 06:05:13 - mmengine - INFO - Epoch(train) [98][1800/5005] lr: 2.2190e-07 eta: 0:17:55 time: 0.0822 data_time: 0.0179 memory: 1684 loss: 1.0881 2023/04/03 06:05:22 - mmengine - INFO - Epoch(train) [98][1900/5005] lr: 2.2190e-07 eta: 0:17:47 time: 0.0794 data_time: 0.0180 memory: 1684 loss: 1.1320 2023/04/03 06:05:30 - mmengine - INFO - Epoch(train) [98][2000/5005] lr: 2.2190e-07 eta: 0:17:39 time: 0.0800 data_time: 0.0180 memory: 1684 loss: 1.1683 2023/04/03 06:05:38 - mmengine - INFO - Epoch(train) [98][2100/5005] lr: 2.2190e-07 eta: 0:17:31 time: 0.0806 data_time: 0.0183 memory: 1684 loss: 1.2715 2023/04/03 06:05:47 - mmengine - INFO - Epoch(train) [98][2200/5005] lr: 2.2190e-07 eta: 0:17:23 time: 0.0821 data_time: 0.0182 memory: 1684 loss: 1.2464 2023/04/03 06:05:55 - mmengine - INFO - Epoch(train) [98][2300/5005] lr: 2.2190e-07 eta: 0:17:15 time: 0.0920 data_time: 0.0184 memory: 1684 loss: 1.1611 2023/04/03 06:06:03 - mmengine - INFO - Epoch(train) [98][2400/5005] lr: 2.2190e-07 eta: 0:17:07 time: 0.0926 data_time: 0.0203 memory: 1684 loss: 1.2253 2023/04/03 06:06:12 - mmengine - INFO - Epoch(train) [98][2500/5005] lr: 2.2190e-07 eta: 0:16:59 time: 0.0823 data_time: 0.0181 memory: 1684 loss: 1.1178 2023/04/03 06:06:13 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 06:06:20 - mmengine - INFO - Epoch(train) [98][2600/5005] lr: 2.2190e-07 eta: 0:16:50 time: 0.0958 data_time: 0.0303 memory: 1684 loss: 1.3025 2023/04/03 06:06:29 - mmengine - INFO - Epoch(train) [98][2700/5005] lr: 2.2190e-07 eta: 0:16:42 time: 0.0838 data_time: 0.0198 memory: 1684 loss: 1.0663 2023/04/03 06:06:37 - mmengine - INFO - Epoch(train) [98][2800/5005] lr: 2.2190e-07 eta: 0:16:34 time: 0.0955 data_time: 0.0255 memory: 1684 loss: 1.0898 2023/04/03 06:06:46 - mmengine - INFO - Epoch(train) [98][2900/5005] lr: 2.2190e-07 eta: 0:16:26 time: 0.0782 data_time: 0.0182 memory: 1684 loss: 1.4990 2023/04/03 06:06:54 - mmengine - INFO - Epoch(train) [98][3000/5005] lr: 2.2190e-07 eta: 0:16:18 time: 0.0808 data_time: 0.0179 memory: 1684 loss: 1.2669 2023/04/03 06:07:02 - mmengine - INFO - Epoch(train) [98][3100/5005] lr: 2.2190e-07 eta: 0:16:10 time: 0.0792 data_time: 0.0182 memory: 1684 loss: 1.3410 2023/04/03 06:07:10 - mmengine - INFO - Epoch(train) [98][3200/5005] lr: 2.2190e-07 eta: 0:16:02 time: 0.0778 data_time: 0.0182 memory: 1684 loss: 1.2802 2023/04/03 06:07:19 - mmengine - INFO - Epoch(train) [98][3300/5005] lr: 2.2190e-07 eta: 0:15:53 time: 0.0795 data_time: 0.0182 memory: 1684 loss: 1.0326 2023/04/03 06:07:27 - mmengine - INFO - Epoch(train) [98][3400/5005] lr: 2.2190e-07 eta: 0:15:45 time: 0.0865 data_time: 0.0180 memory: 1684 loss: 1.2611 2023/04/03 06:07:35 - mmengine - INFO - Epoch(train) [98][3500/5005] lr: 2.2190e-07 eta: 0:15:37 time: 0.0791 data_time: 0.0183 memory: 1684 loss: 1.2563 2023/04/03 06:07:36 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 06:07:43 - mmengine - INFO - Epoch(train) [98][3600/5005] lr: 2.2190e-07 eta: 0:15:29 time: 0.0813 data_time: 0.0181 memory: 1684 loss: 1.2467 2023/04/03 06:07:52 - mmengine - INFO - Epoch(train) [98][3700/5005] lr: 2.2190e-07 eta: 0:15:21 time: 0.0800 data_time: 0.0181 memory: 1684 loss: 1.1045 2023/04/03 06:08:00 - mmengine - INFO - Epoch(train) [98][3800/5005] lr: 2.2190e-07 eta: 0:15:13 time: 0.0810 data_time: 0.0199 memory: 1684 loss: 1.3709 2023/04/03 06:08:08 - mmengine - INFO - Epoch(train) [98][3900/5005] lr: 2.2190e-07 eta: 0:15:05 time: 0.0919 data_time: 0.0191 memory: 1684 loss: 1.2023 2023/04/03 06:08:17 - mmengine - INFO - Epoch(train) [98][4000/5005] lr: 2.2190e-07 eta: 0:14:56 time: 0.0815 data_time: 0.0184 memory: 1684 loss: 1.1313 2023/04/03 06:08:25 - mmengine - INFO - Epoch(train) [98][4100/5005] lr: 2.2190e-07 eta: 0:14:48 time: 0.0781 data_time: 0.0186 memory: 1684 loss: 1.2069 2023/04/03 06:08:33 - mmengine - INFO - Epoch(train) [98][4200/5005] lr: 2.2190e-07 eta: 0:14:40 time: 0.0799 data_time: 0.0182 memory: 1684 loss: 1.3578 2023/04/03 06:08:42 - mmengine - INFO - Epoch(train) [98][4300/5005] lr: 2.2190e-07 eta: 0:14:32 time: 0.0817 data_time: 0.0180 memory: 1684 loss: 1.1242 2023/04/03 06:08:50 - mmengine - INFO - Epoch(train) [98][4400/5005] lr: 2.2190e-07 eta: 0:14:24 time: 0.0816 data_time: 0.0179 memory: 1684 loss: 1.3088 2023/04/03 06:08:59 - mmengine - INFO - Epoch(train) [98][4500/5005] lr: 2.2190e-07 eta: 0:14:16 time: 0.0853 data_time: 0.0180 memory: 1684 loss: 1.2786 2023/04/03 06:09:00 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 06:09:07 - mmengine - INFO - Epoch(train) [98][4600/5005] lr: 2.2190e-07 eta: 0:14:08 time: 0.0786 data_time: 0.0182 memory: 1684 loss: 1.1525 2023/04/03 06:09:15 - mmengine - INFO - Epoch(train) [98][4700/5005] lr: 2.2190e-07 eta: 0:13:59 time: 0.0772 data_time: 0.0179 memory: 1684 loss: 1.2683 2023/04/03 06:09:23 - mmengine - INFO - Epoch(train) [98][4800/5005] lr: 2.2190e-07 eta: 0:13:51 time: 0.0824 data_time: 0.0179 memory: 1684 loss: 1.4566 2023/04/03 06:09:31 - mmengine - INFO - Epoch(train) [98][4900/5005] lr: 2.2190e-07 eta: 0:13:43 time: 0.0804 data_time: 0.0184 memory: 1684 loss: 1.2366 2023/04/03 06:09:40 - mmengine - INFO - Epoch(train) [98][5000/5005] lr: 2.2190e-07 eta: 0:13:35 time: 0.0849 data_time: 0.0190 memory: 1684 loss: 1.1469 2023/04/03 06:09:40 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 06:09:40 - mmengine - INFO - Saving checkpoint at 98 epochs 2023/04/03 06:09:46 - mmengine - INFO - Epoch(val) [98][100/196] eta: 0:00:03 time: 0.0338 data_time: 0.0079 memory: 1684 2023/04/03 06:09:58 - mmengine - INFO - Epoch(val) [98][196/196] qat.accuracy/top1: 69.9920 qat.accuracy/top5: 89.2920data_time: 0.0079 time: 0.0317 2023/04/03 06:10:03 - mmengine - INFO - Epoch(val) [98][100/196] eta: 0:00:04 time: 0.0360 data_time: 0.0076 memory: 513 2023/04/03 06:10:16 - mmengine - INFO - Epoch(val) [98][196/196] qat.accuracy/top1: 69.9000 qat.accuracy/top5: 89.2740data_time: 0.0069 time: 0.0336 2023/04/03 06:10:19 - mmengine - INFO - Epoch(val) [98][100/196] eta: 0:00:02 time: 0.0278 data_time: 0.0144 memory: 470 2023/04/03 06:10:31 - mmengine - INFO - Epoch(val) [98][196/196] original.accuracy/top1: 69.7780 original.accuracy/top5: 89.2560data_time: 0.0365 time: 0.0483 2023/04/03 06:10:41 - mmengine - INFO - Epoch(train) [99][ 100/5005] lr: 9.8664e-08 eta: 0:13:26 time: 0.0948 data_time: 0.0185 memory: 1735 loss: 1.0609 2023/04/03 06:10:49 - mmengine - INFO - Epoch(train) [99][ 200/5005] lr: 9.8664e-08 eta: 0:13:18 time: 0.0779 data_time: 0.0191 memory: 1735 loss: 1.0937 2023/04/03 06:10:57 - mmengine - INFO - Epoch(train) [99][ 300/5005] lr: 9.8664e-08 eta: 0:13:10 time: 0.0801 data_time: 0.0189 memory: 1735 loss: 1.1939 2023/04/03 06:11:06 - mmengine - INFO - Epoch(train) [99][ 400/5005] lr: 9.8664e-08 eta: 0:13:02 time: 0.0784 data_time: 0.0190 memory: 1735 loss: 1.3806 2023/04/03 06:11:14 - mmengine - INFO - Epoch(train) [99][ 500/5005] lr: 9.8664e-08 eta: 0:12:54 time: 0.0786 data_time: 0.0197 memory: 1735 loss: 1.0850 2023/04/03 06:11:15 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 06:11:23 - mmengine - INFO - Epoch(train) [99][ 600/5005] lr: 9.8664e-08 eta: 0:12:46 time: 0.0783 data_time: 0.0195 memory: 1684 loss: 1.2255 2023/04/03 06:11:31 - mmengine - INFO - Epoch(train) [99][ 700/5005] lr: 9.8664e-08 eta: 0:12:38 time: 0.0777 data_time: 0.0190 memory: 1684 loss: 1.2169 2023/04/03 06:11:39 - mmengine - INFO - Epoch(train) [99][ 800/5005] lr: 9.8664e-08 eta: 0:12:29 time: 0.0821 data_time: 0.0185 memory: 1684 loss: 1.3365 2023/04/03 06:11:47 - mmengine - INFO - Epoch(train) [99][ 900/5005] lr: 9.8664e-08 eta: 0:12:21 time: 0.0798 data_time: 0.0183 memory: 1684 loss: 1.2789 2023/04/03 06:11:56 - mmengine - INFO - Epoch(train) [99][1000/5005] lr: 9.8664e-08 eta: 0:12:13 time: 0.0795 data_time: 0.0187 memory: 1684 loss: 1.3084 2023/04/03 06:12:04 - mmengine - INFO - Epoch(train) [99][1100/5005] lr: 9.8664e-08 eta: 0:12:05 time: 0.0796 data_time: 0.0184 memory: 1684 loss: 1.3127 2023/04/03 06:12:12 - mmengine - INFO - Epoch(train) [99][1200/5005] lr: 9.8664e-08 eta: 0:11:57 time: 0.0793 data_time: 0.0181 memory: 1684 loss: 1.2879 2023/04/03 06:12:21 - mmengine - INFO - Epoch(train) [99][1300/5005] lr: 9.8664e-08 eta: 0:11:49 time: 0.0820 data_time: 0.0189 memory: 1684 loss: 1.2952 2023/04/03 06:12:30 - mmengine - INFO - Epoch(train) [99][1400/5005] lr: 9.8664e-08 eta: 0:11:41 time: 0.0778 data_time: 0.0180 memory: 1684 loss: 1.1723 2023/04/03 06:12:38 - mmengine - INFO - Epoch(train) [99][1500/5005] lr: 9.8664e-08 eta: 0:11:32 time: 0.0810 data_time: 0.0183 memory: 1684 loss: 0.9679 2023/04/03 06:12:39 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 06:12:46 - mmengine - INFO - Epoch(train) [99][1600/5005] lr: 9.8664e-08 eta: 0:11:24 time: 0.0779 data_time: 0.0182 memory: 1684 loss: 1.3020 2023/04/03 06:12:54 - mmengine - INFO - Epoch(train) [99][1700/5005] lr: 9.8664e-08 eta: 0:11:16 time: 0.0816 data_time: 0.0193 memory: 1684 loss: 1.3857 2023/04/03 06:13:03 - mmengine - INFO - Epoch(train) [99][1800/5005] lr: 9.8664e-08 eta: 0:11:08 time: 0.0974 data_time: 0.0179 memory: 1684 loss: 1.1539 2023/04/03 06:13:12 - mmengine - INFO - Epoch(train) [99][1900/5005] lr: 9.8664e-08 eta: 0:11:00 time: 0.0879 data_time: 0.0181 memory: 1684 loss: 1.3021 2023/04/03 06:13:20 - mmengine - INFO - Epoch(train) [99][2000/5005] lr: 9.8664e-08 eta: 0:10:52 time: 0.0800 data_time: 0.0182 memory: 1684 loss: 1.3092 2023/04/03 06:13:28 - mmengine - INFO - Epoch(train) [99][2100/5005] lr: 9.8664e-08 eta: 0:10:44 time: 0.0799 data_time: 0.0182 memory: 1684 loss: 1.1715 2023/04/03 06:13:37 - mmengine - INFO - Epoch(train) [99][2200/5005] lr: 9.8664e-08 eta: 0:10:36 time: 0.0924 data_time: 0.0197 memory: 1684 loss: 1.0995 2023/04/03 06:13:45 - mmengine - INFO - Epoch(train) [99][2300/5005] lr: 9.8664e-08 eta: 0:10:27 time: 0.0829 data_time: 0.0184 memory: 1684 loss: 1.2378 2023/04/03 06:13:54 - mmengine - INFO - Epoch(train) [99][2400/5005] lr: 9.8664e-08 eta: 0:10:19 time: 0.0788 data_time: 0.0181 memory: 1684 loss: 1.1586 2023/04/03 06:14:02 - mmengine - INFO - Epoch(train) [99][2500/5005] lr: 9.8664e-08 eta: 0:10:11 time: 0.0763 data_time: 0.0181 memory: 1684 loss: 1.3311 2023/04/03 06:14:02 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 06:14:09 - mmengine - INFO - Epoch(train) [99][2600/5005] lr: 9.8664e-08 eta: 0:10:03 time: 0.0790 data_time: 0.0183 memory: 1684 loss: 1.2037 2023/04/03 06:14:18 - mmengine - INFO - Epoch(train) [99][2700/5005] lr: 9.8664e-08 eta: 0:09:55 time: 0.0881 data_time: 0.0293 memory: 1684 loss: 1.1599 2023/04/03 06:14:26 - mmengine - INFO - Epoch(train) [99][2800/5005] lr: 9.8664e-08 eta: 0:09:47 time: 0.0790 data_time: 0.0176 memory: 1684 loss: 1.1393 2023/04/03 06:14:34 - mmengine - INFO - Epoch(train) [99][2900/5005] lr: 9.8664e-08 eta: 0:09:38 time: 0.0776 data_time: 0.0186 memory: 1684 loss: 1.2901 2023/04/03 06:14:43 - mmengine - INFO - Epoch(train) [99][3000/5005] lr: 9.8664e-08 eta: 0:09:30 time: 0.0795 data_time: 0.0179 memory: 1684 loss: 1.0512 2023/04/03 06:14:51 - mmengine - INFO - Epoch(train) [99][3100/5005] lr: 9.8664e-08 eta: 0:09:22 time: 0.0780 data_time: 0.0180 memory: 1684 loss: 0.9852 2023/04/03 06:14:59 - mmengine - INFO - Epoch(train) [99][3200/5005] lr: 9.8664e-08 eta: 0:09:14 time: 0.0800 data_time: 0.0184 memory: 1684 loss: 1.1553 2023/04/03 06:15:07 - mmengine - INFO - Epoch(train) [99][3300/5005] lr: 9.8664e-08 eta: 0:09:06 time: 0.0812 data_time: 0.0181 memory: 1684 loss: 1.1398 2023/04/03 06:15:16 - mmengine - INFO - Epoch(train) [99][3400/5005] lr: 9.8664e-08 eta: 0:08:58 time: 0.0819 data_time: 0.0182 memory: 1684 loss: 1.0911 2023/04/03 06:15:24 - mmengine - INFO - Epoch(train) [99][3500/5005] lr: 9.8664e-08 eta: 0:08:50 time: 0.0813 data_time: 0.0186 memory: 1684 loss: 1.0662 2023/04/03 06:15:25 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 06:15:33 - mmengine - INFO - Epoch(train) [99][3600/5005] lr: 9.8664e-08 eta: 0:08:41 time: 0.0807 data_time: 0.0193 memory: 1684 loss: 1.1767 2023/04/03 06:15:41 - mmengine - INFO - Epoch(train) [99][3700/5005] lr: 9.8664e-08 eta: 0:08:33 time: 0.0793 data_time: 0.0189 memory: 1684 loss: 1.4038 2023/04/03 06:15:49 - mmengine - INFO - Epoch(train) [99][3800/5005] lr: 9.8664e-08 eta: 0:08:25 time: 0.0769 data_time: 0.0194 memory: 1684 loss: 1.1157 2023/04/03 06:15:58 - mmengine - INFO - Epoch(train) [99][3900/5005] lr: 9.8664e-08 eta: 0:08:17 time: 0.0779 data_time: 0.0183 memory: 1684 loss: 1.2739 2023/04/03 06:16:06 - mmengine - INFO - Epoch(train) [99][4000/5005] lr: 9.8664e-08 eta: 0:08:09 time: 0.0800 data_time: 0.0194 memory: 1684 loss: 1.2253 2023/04/03 06:16:14 - mmengine - INFO - Epoch(train) [99][4100/5005] lr: 9.8664e-08 eta: 0:08:01 time: 0.0770 data_time: 0.0186 memory: 1684 loss: 1.2188 2023/04/03 06:16:22 - mmengine - INFO - Epoch(train) [99][4200/5005] lr: 9.8664e-08 eta: 0:07:53 time: 0.0941 data_time: 0.0193 memory: 1684 loss: 1.0055 2023/04/03 06:16:30 - mmengine - INFO - Epoch(train) [99][4300/5005] lr: 9.8664e-08 eta: 0:07:44 time: 0.0919 data_time: 0.0335 memory: 1684 loss: 1.2027 2023/04/03 06:16:39 - mmengine - INFO - Epoch(train) [99][4400/5005] lr: 9.8664e-08 eta: 0:07:36 time: 0.0808 data_time: 0.0183 memory: 1684 loss: 1.2304 2023/04/03 06:16:47 - mmengine - INFO - Epoch(train) [99][4500/5005] lr: 9.8664e-08 eta: 0:07:28 time: 0.0789 data_time: 0.0197 memory: 1684 loss: 1.0414 2023/04/03 06:16:48 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 06:16:56 - mmengine - INFO - Epoch(train) [99][4600/5005] lr: 9.8664e-08 eta: 0:07:20 time: 0.0909 data_time: 0.0314 memory: 1684 loss: 1.2037 2023/04/03 06:17:04 - mmengine - INFO - Epoch(train) [99][4700/5005] lr: 9.8664e-08 eta: 0:07:12 time: 0.0793 data_time: 0.0179 memory: 1684 loss: 1.2930 2023/04/03 06:17:12 - mmengine - INFO - Epoch(train) [99][4800/5005] lr: 9.8664e-08 eta: 0:07:04 time: 0.0791 data_time: 0.0184 memory: 1684 loss: 1.3014 2023/04/03 06:17:20 - mmengine - INFO - Epoch(train) [99][4900/5005] lr: 9.8664e-08 eta: 0:06:56 time: 0.0995 data_time: 0.0296 memory: 1684 loss: 1.1781 2023/04/03 06:17:29 - mmengine - INFO - Epoch(train) [99][5000/5005] lr: 9.8664e-08 eta: 0:06:47 time: 0.0899 data_time: 0.0288 memory: 1684 loss: 1.1374 2023/04/03 06:17:29 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 06:17:29 - mmengine - INFO - Saving checkpoint at 99 epochs 2023/04/03 06:17:35 - mmengine - INFO - Epoch(val) [99][100/196] eta: 0:00:04 time: 0.0340 data_time: 0.0082 memory: 1684 2023/04/03 06:17:48 - mmengine - INFO - Epoch(val) [99][196/196] qat.accuracy/top1: 69.9460 qat.accuracy/top5: 89.2800data_time: 0.0117 time: 0.0354 2023/04/03 06:17:52 - mmengine - INFO - Epoch(val) [99][100/196] eta: 0:00:04 time: 0.0360 data_time: 0.0078 memory: 513 2023/04/03 06:18:06 - mmengine - INFO - Epoch(val) [99][196/196] qat.accuracy/top1: 69.9800 qat.accuracy/top5: 89.3260data_time: 0.0068 time: 0.0332 2023/04/03 06:18:09 - mmengine - INFO - Epoch(val) [99][100/196] eta: 0:00:02 time: 0.0243 data_time: 0.0128 memory: 470 2023/04/03 06:18:22 - mmengine - INFO - Epoch(val) [99][196/196] original.accuracy/top1: 69.7860 original.accuracy/top5: 89.2540data_time: 0.0340 time: 0.0442 2023/04/03 06:18:31 - mmengine - INFO - Epoch(train) [100][ 100/5005] lr: 2.4672e-08 eta: 0:06:39 time: 0.0806 data_time: 0.0186 memory: 1735 loss: 1.0001 2023/04/03 06:18:40 - mmengine - INFO - Epoch(train) [100][ 200/5005] lr: 2.4672e-08 eta: 0:06:31 time: 0.0822 data_time: 0.0181 memory: 1735 loss: 1.1969 2023/04/03 06:18:48 - mmengine - INFO - Epoch(train) [100][ 300/5005] lr: 2.4672e-08 eta: 0:06:23 time: 0.0846 data_time: 0.0181 memory: 1735 loss: 1.1346 2023/04/03 06:18:57 - mmengine - INFO - Epoch(train) [100][ 400/5005] lr: 2.4672e-08 eta: 0:06:15 time: 0.0834 data_time: 0.0201 memory: 1735 loss: 1.3769 2023/04/03 06:19:05 - mmengine - INFO - Epoch(train) [100][ 500/5005] lr: 2.4672e-08 eta: 0:06:06 time: 0.0831 data_time: 0.0180 memory: 1735 loss: 1.3291 2023/04/03 06:19:06 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 06:19:14 - mmengine - INFO - Epoch(train) [100][ 600/5005] lr: 2.4672e-08 eta: 0:05:58 time: 0.0788 data_time: 0.0193 memory: 1735 loss: 1.3324 2023/04/03 06:19:22 - mmengine - INFO - Epoch(train) [100][ 700/5005] lr: 2.4672e-08 eta: 0:05:50 time: 0.0807 data_time: 0.0183 memory: 1684 loss: 1.3577 2023/04/03 06:19:31 - mmengine - INFO - Epoch(train) [100][ 800/5005] lr: 2.4672e-08 eta: 0:05:42 time: 0.0769 data_time: 0.0184 memory: 1684 loss: 1.2183 2023/04/03 06:19:39 - mmengine - INFO - Epoch(train) [100][ 900/5005] lr: 2.4672e-08 eta: 0:05:34 time: 0.0927 data_time: 0.0188 memory: 1684 loss: 1.2456 2023/04/03 06:19:47 - mmengine - INFO - Epoch(train) [100][1000/5005] lr: 2.4672e-08 eta: 0:05:26 time: 0.0831 data_time: 0.0201 memory: 1684 loss: 1.2883 2023/04/03 06:19:56 - mmengine - INFO - Epoch(train) [100][1100/5005] lr: 2.4672e-08 eta: 0:05:18 time: 0.0811 data_time: 0.0181 memory: 1684 loss: 1.2107 2023/04/03 06:20:04 - mmengine - INFO - Epoch(train) [100][1200/5005] lr: 2.4672e-08 eta: 0:05:09 time: 0.0807 data_time: 0.0185 memory: 1684 loss: 1.3186 2023/04/03 06:20:12 - mmengine - INFO - Epoch(train) [100][1300/5005] lr: 2.4672e-08 eta: 0:05:01 time: 0.0899 data_time: 0.0185 memory: 1684 loss: 1.1914 2023/04/03 06:20:21 - mmengine - INFO - Epoch(train) [100][1400/5005] lr: 2.4672e-08 eta: 0:04:53 time: 0.0752 data_time: 0.0182 memory: 1684 loss: 1.4114 2023/04/03 06:20:29 - mmengine - INFO - Epoch(train) [100][1500/5005] lr: 2.4672e-08 eta: 0:04:45 time: 0.1059 data_time: 0.0183 memory: 1684 loss: 1.2770 2023/04/03 06:20:29 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 06:20:37 - mmengine - INFO - Epoch(train) [100][1600/5005] lr: 2.4672e-08 eta: 0:04:37 time: 0.0819 data_time: 0.0184 memory: 1684 loss: 1.2430 2023/04/03 06:20:45 - mmengine - INFO - Epoch(train) [100][1700/5005] lr: 2.4672e-08 eta: 0:04:29 time: 0.0795 data_time: 0.0187 memory: 1684 loss: 0.9910 2023/04/03 06:20:53 - mmengine - INFO - Epoch(train) [100][1800/5005] lr: 2.4672e-08 eta: 0:04:21 time: 0.0781 data_time: 0.0191 memory: 1684 loss: 1.3392 2023/04/03 06:21:01 - mmengine - INFO - Epoch(train) [100][1900/5005] lr: 2.4672e-08 eta: 0:04:12 time: 0.0789 data_time: 0.0184 memory: 1684 loss: 1.1590 2023/04/03 06:21:10 - mmengine - INFO - Epoch(train) [100][2000/5005] lr: 2.4672e-08 eta: 0:04:04 time: 0.0983 data_time: 0.0203 memory: 1684 loss: 1.1079 2023/04/03 06:21:18 - mmengine - INFO - Epoch(train) [100][2100/5005] lr: 2.4672e-08 eta: 0:03:56 time: 0.0779 data_time: 0.0187 memory: 1684 loss: 1.1090 2023/04/03 06:21:27 - mmengine - INFO - Epoch(train) [100][2200/5005] lr: 2.4672e-08 eta: 0:03:48 time: 0.0782 data_time: 0.0194 memory: 1684 loss: 1.1500 2023/04/03 06:21:35 - mmengine - INFO - Epoch(train) [100][2300/5005] lr: 2.4672e-08 eta: 0:03:40 time: 0.0800 data_time: 0.0184 memory: 1684 loss: 1.1462 2023/04/03 06:21:44 - mmengine - INFO - Epoch(train) [100][2400/5005] lr: 2.4672e-08 eta: 0:03:32 time: 0.0976 data_time: 0.0185 memory: 1684 loss: 1.0724 2023/04/03 06:21:53 - mmengine - INFO - Epoch(train) [100][2500/5005] lr: 2.4672e-08 eta: 0:03:24 time: 0.0938 data_time: 0.0182 memory: 1684 loss: 1.1244 2023/04/03 06:21:53 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 06:22:02 - mmengine - INFO - Epoch(train) [100][2600/5005] lr: 2.4672e-08 eta: 0:03:15 time: 0.0829 data_time: 0.0186 memory: 1684 loss: 1.3266 2023/04/03 06:22:10 - mmengine - INFO - Epoch(train) [100][2700/5005] lr: 2.4672e-08 eta: 0:03:07 time: 0.0772 data_time: 0.0184 memory: 1684 loss: 1.1591 2023/04/03 06:22:18 - mmengine - INFO - Epoch(train) [100][2800/5005] lr: 2.4672e-08 eta: 0:02:59 time: 0.0782 data_time: 0.0185 memory: 1684 loss: 1.1735 2023/04/03 06:22:27 - mmengine - INFO - Epoch(train) [100][2900/5005] lr: 2.4672e-08 eta: 0:02:51 time: 0.0924 data_time: 0.0280 memory: 1684 loss: 1.0568 2023/04/03 06:22:35 - mmengine - INFO - Epoch(train) [100][3000/5005] lr: 2.4672e-08 eta: 0:02:43 time: 0.0875 data_time: 0.0181 memory: 1684 loss: 1.4280 2023/04/03 06:22:43 - mmengine - INFO - Epoch(train) [100][3100/5005] lr: 2.4672e-08 eta: 0:02:35 time: 0.0774 data_time: 0.0185 memory: 1684 loss: 1.1317 2023/04/03 06:22:52 - mmengine - INFO - Epoch(train) [100][3200/5005] lr: 2.4672e-08 eta: 0:02:27 time: 0.0920 data_time: 0.0185 memory: 1684 loss: 1.4844 2023/04/03 06:23:00 - mmengine - INFO - Epoch(train) [100][3300/5005] lr: 2.4672e-08 eta: 0:02:18 time: 0.0802 data_time: 0.0183 memory: 1684 loss: 1.0012 2023/04/03 06:23:08 - mmengine - INFO - Epoch(train) [100][3400/5005] lr: 2.4672e-08 eta: 0:02:10 time: 0.0794 data_time: 0.0187 memory: 1684 loss: 1.3216 2023/04/03 06:23:17 - mmengine - INFO - Epoch(train) [100][3500/5005] lr: 2.4672e-08 eta: 0:02:02 time: 0.0796 data_time: 0.0183 memory: 1684 loss: 1.1958 2023/04/03 06:23:17 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 06:23:25 - mmengine - INFO - Epoch(train) [100][3600/5005] lr: 2.4672e-08 eta: 0:01:54 time: 0.0789 data_time: 0.0182 memory: 1684 loss: 1.1464 2023/04/03 06:23:34 - mmengine - INFO - Epoch(train) [100][3700/5005] lr: 2.4672e-08 eta: 0:01:46 time: 0.0944 data_time: 0.0182 memory: 1684 loss: 1.2559 2023/04/03 06:23:42 - mmengine - INFO - Epoch(train) [100][3800/5005] lr: 2.4672e-08 eta: 0:01:38 time: 0.0787 data_time: 0.0180 memory: 1684 loss: 1.1807 2023/04/03 06:23:50 - mmengine - INFO - Epoch(train) [100][3900/5005] lr: 2.4672e-08 eta: 0:01:29 time: 0.0808 data_time: 0.0183 memory: 1684 loss: 1.2796 2023/04/03 06:23:59 - mmengine - INFO - Epoch(train) [100][4000/5005] lr: 2.4672e-08 eta: 0:01:21 time: 0.0797 data_time: 0.0197 memory: 1684 loss: 1.4026 2023/04/03 06:24:07 - mmengine - INFO - Epoch(train) [100][4100/5005] lr: 2.4672e-08 eta: 0:01:13 time: 0.0793 data_time: 0.0181 memory: 1684 loss: 1.2538 2023/04/03 06:24:15 - mmengine - INFO - Epoch(train) [100][4200/5005] lr: 2.4672e-08 eta: 0:01:05 time: 0.0761 data_time: 0.0182 memory: 1684 loss: 1.2370 2023/04/03 06:24:23 - mmengine - INFO - Epoch(train) [100][4300/5005] lr: 2.4672e-08 eta: 0:00:57 time: 0.0779 data_time: 0.0182 memory: 1684 loss: 1.1481 2023/04/03 06:24:31 - mmengine - INFO - Epoch(train) [100][4400/5005] lr: 2.4672e-08 eta: 0:00:49 time: 0.0892 data_time: 0.0183 memory: 1684 loss: 1.0697 2023/04/03 06:24:39 - mmengine - INFO - Epoch(train) [100][4500/5005] lr: 2.4672e-08 eta: 0:00:41 time: 0.0793 data_time: 0.0184 memory: 1684 loss: 1.3937 2023/04/03 06:24:40 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 06:24:47 - mmengine - INFO - Epoch(train) [100][4600/5005] lr: 2.4672e-08 eta: 0:00:32 time: 0.0801 data_time: 0.0185 memory: 1684 loss: 1.1906 2023/04/03 06:24:56 - mmengine - INFO - Epoch(train) [100][4700/5005] lr: 2.4672e-08 eta: 0:00:24 time: 0.0874 data_time: 0.0182 memory: 1684 loss: 1.1073 2023/04/03 06:25:04 - mmengine - INFO - Epoch(train) [100][4800/5005] lr: 2.4672e-08 eta: 0:00:16 time: 0.0788 data_time: 0.0189 memory: 1684 loss: 1.3284 2023/04/03 06:25:12 - mmengine - INFO - Epoch(train) [100][4900/5005] lr: 2.4672e-08 eta: 0:00:08 time: 0.0798 data_time: 0.0183 memory: 1684 loss: 1.1675 2023/04/03 06:25:20 - mmengine - INFO - Epoch(train) [100][5000/5005] lr: 2.4672e-08 eta: 0:00:00 time: 0.0798 data_time: 0.0196 memory: 1684 loss: 1.3150 2023/04/03 06:25:21 - mmengine - INFO - Exp name: lsq_openvino_resnet18_8xb32_in1k_20230402_173316 2023/04/03 06:25:21 - mmengine - INFO - Saving checkpoint at 100 epochs 2023/04/03 06:25:26 - mmengine - INFO - Epoch(val) [100][100/196] eta: 0:00:03 time: 0.0341 data_time: 0.0081 memory: 1684 2023/04/03 06:25:39 - mmengine - INFO - Epoch(val) [100][196/196] qat.accuracy/top1: 70.0560 qat.accuracy/top5: 89.2880data_time: 0.0069 time: 0.0310 2023/04/03 06:25:44 - mmengine - INFO - Epoch(val) [100][100/196] eta: 0:00:03 time: 0.0352 data_time: 0.0081 memory: 513 2023/04/03 06:25:57 - mmengine - INFO - Epoch(val) [100][196/196] qat.accuracy/top1: 69.8540 qat.accuracy/top5: 89.2800data_time: 0.0075 time: 0.0330 2023/04/03 06:26:00 - mmengine - INFO - Epoch(val) [100][100/196] eta: 0:00:02 time: 0.0268 data_time: 0.0150 memory: 470 2023/04/03 06:26:12 - mmengine - INFO - Epoch(val) [100][196/196] original.accuracy/top1: 69.7840 original.accuracy/top5: 89.2480data_time: 0.0316 time: 0.0413