2023-01-05 23:20:25,781 - mmseg - INFO - Multi-processing start method is `None` 2023-01-05 23:20:25,782 - mmseg - INFO - OpenCV num_threads is `64 2023-01-05 23:20:25,836 - mmseg - INFO - Environment info: ------------------------------------------------------------ sys.platform: linux Python: 3.8.12 (default, Oct 12 2021, 13:49:34) [GCC 7.5.0] CUDA available: True GPU 0,1,2,3,4,5,6,7: Tesla V100-SXM2-16GB-N CUDA_HOME: /usr/local/cuda NVCC: Cuda compilation tools, release 11.3, V11.3.109 GCC: gcc (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0 PyTorch: 1.11.0 PyTorch compiling details: PyTorch built with: - GCC 7.3 - C++ Version: 201402 - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e) - OpenMP 201511 (a.k.a. OpenMP 4.5) - LAPACK is enabled (usually provided by MKL) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.3 - 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_61,code=sm_61;-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;-gencode;arch=compute_37,code=compute_37 - CuDNN 8.2 - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -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 -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -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 -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.11.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, TorchVision: 0.12.0 OpenCV: 4.6.0 MMCV: 1.7.0 MMCV Compiler: GCC 9.3 MMCV CUDA Compiler: 11.3 MMSegmentation: 0.29.1+08f5eeb ------------------------------------------------------------ 2023-01-05 23:20:25,836 - mmseg - INFO - Distributed training: True 2023-01-05 23:20:26,266 - mmseg - INFO - Config: embed_dims = [32, 64, 160, 256] norm_cfg = dict(type='SyncBN', requires_grad=True) model = dict( type='EncoderDecoder', pretrained=None, backbone=dict( type='SimplifiedMixTransformer', in_channels=3, embed_dims=[32, 64, 160, 256], num_stages=4, num_layers=[2, 2, 2, 2], num_heads=[1, 2, 5, 8], patch_sizes=[7, 3, 3, 3], strides=[4, 2, 2, 2], sr_ratios=[8, 4, 2, 1], out_indices=(0, 1, 2, 3), mlp_ratios=[8, 8, 4, 4], qkv_bias=True, drop_rate=0.0, attn_drop_rate=0.0, drop_path_rate=0.1, norm_cfg=dict(type='SyncBN', requires_grad=True)), decode_head=dict( type='DESTHead', in_channels=[32, 64, 160, 256], in_index=[0, 1, 2, 3], channels=32, dropout_ratio=0.1, num_classes=19, norm_cfg=dict(type='SyncBN', requires_grad=True), align_corners=False, loss_decode=dict( type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), train_cfg=dict(), test_cfg=dict(mode='slide', crop_size=(1024, 1024), stride=(768, 768))) dataset_type = 'CityscapesDataset' data_root = 'data/cityscapes/' img_norm_cfg = dict( mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) crop_size = (1024, 1024) train_pipeline = [ dict(type='LoadImageFromFile'), dict(type='LoadAnnotations'), dict(type='Resize', img_scale=(2048, 1024), ratio_range=(0.5, 2.0)), dict(type='RandomCrop', crop_size=(1024, 1024), cat_max_ratio=0.75), dict(type='RandomFlip', prob=0.5), dict(type='PhotoMetricDistortion'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size=(1024, 1024), pad_val=0, seg_pad_val=255), dict(type='DefaultFormatBundle'), dict(type='Collect', keys=['img', 'gt_semantic_seg']) ] test_pipeline = [ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(2048, 1024), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ] data = dict( samples_per_gpu=1, workers_per_gpu=1, train=dict( type='CityscapesDataset', data_root='data/cityscapes/', img_dir='leftImg8bit/train', ann_dir='gtFine/train', pipeline=[ dict(type='LoadImageFromFile'), dict(type='LoadAnnotations'), dict( type='Resize', img_scale=(2048, 1024), ratio_range=(0.5, 2.0)), dict( type='RandomCrop', crop_size=(1024, 1024), cat_max_ratio=0.75), dict(type='RandomFlip', prob=0.5), dict(type='PhotoMetricDistortion'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size=(1024, 1024), pad_val=0, seg_pad_val=255), dict(type='DefaultFormatBundle'), dict(type='Collect', keys=['img', 'gt_semantic_seg']) ]), val=dict( type='CityscapesDataset', data_root='data/cityscapes/', img_dir='leftImg8bit/val', ann_dir='gtFine/val', pipeline=[ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(2048, 1024), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ]), test=dict( type='CityscapesDataset', data_root='data/cityscapes/', img_dir='leftImg8bit/val', ann_dir='gtFine/val', pipeline=[ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(2048, 1024), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ])) log_config = dict( interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)]) dist_params = dict(backend='nccl') log_level = 'INFO' load_from = None resume_from = None workflow = [('train', 1)] cudnn_benchmark = True optimizer = dict( type='AdamW', lr=6e-05, betas=(0.9, 0.999), weight_decay=0.01, paramwise_cfg=dict( custom_keys=dict( pos_block=dict(decay_mult=0.0), norm=dict(decay_mult=0.0), head=dict(lr_mult=10.0)))) optimizer_config = dict() lr_config = dict( policy='poly', warmup='linear', warmup_iters=1500, warmup_ratio=1e-06, power=1.0, min_lr=0.0, by_epoch=False) runner = dict(type='IterBasedRunner', max_iters=160000) checkpoint_config = dict(by_epoch=False, interval=16000) evaluation = dict(interval=16000, metric='mIoU', pre_eval=True) work_dir = '/workspace/result/train_log' gpu_ids = range(0, 8) auto_resume = False 2023-01-05 23:20:33,256 - mmseg - INFO - Set random seed to 1803178387, deterministic: False 2023-01-05 23:20:33,642 - mmseg - INFO - initialize DESTHead with init_cfg {'type': 'Normal', 'std': 0.01, 'override': {'name': 'conv_seg'}} Name of parameter - Initialization information backbone.layers.0.0.projection.weight - torch.Size([32, 3, 7, 7]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.0.projection.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.0.norm.weight - torch.Size([32]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.0.norm.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.0.norm1.weight - torch.Size([32]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.0.norm1.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.0.attn.q.weight - torch.Size([32, 32, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.0.attn.q.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.0.attn.k.weight - torch.Size([32, 32, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.0.attn.k.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.0.attn.proj.weight - torch.Size([32, 32, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.0.attn.proj.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.0.attn.sr.weight - torch.Size([32, 32, 8, 8]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.0.attn.sr.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.0.attn.norm1.weight - torch.Size([32]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.0.attn.norm1.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.0.norm2.weight - torch.Size([32]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.0.norm2.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.0.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.0.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.0.ffn.pre_layers.0.weight - torch.Size([256, 32, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.0.ffn.pre_layers.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.0.ffn.pre_layers.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.0.ffn.pre_layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.0.ffn.post_layers.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.0.ffn.post_layers.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.0.ffn.post_layers.3.weight - torch.Size([32, 256, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.0.ffn.post_layers.3.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.1.norm1.weight - torch.Size([32]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.1.norm1.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.1.attn.q.weight - torch.Size([32, 32, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.1.attn.q.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.1.attn.k.weight - torch.Size([32, 32, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.1.attn.k.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.1.attn.proj.weight - torch.Size([32, 32, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.1.attn.proj.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.1.attn.sr.weight - torch.Size([32, 32, 8, 8]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.1.attn.sr.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.1.attn.norm1.weight - torch.Size([32]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.1.attn.norm1.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.1.norm2.weight - torch.Size([32]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.1.norm2.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.1.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.1.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.1.ffn.pre_layers.0.weight - torch.Size([256, 32, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.1.ffn.pre_layers.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.1.ffn.pre_layers.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.1.ffn.pre_layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.1.ffn.post_layers.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.1.ffn.post_layers.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.1.ffn.post_layers.3.weight - torch.Size([32, 256, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.1.ffn.post_layers.3.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.2.weight - torch.Size([32]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.2.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.0.projection.weight - torch.Size([64, 32, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.0.projection.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.0.norm.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.0.norm.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.0.norm1.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.0.norm1.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.0.attn.q.weight - torch.Size([64, 64, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.0.attn.q.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.0.attn.k.weight - torch.Size([64, 64, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.0.attn.k.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.0.attn.proj.weight - torch.Size([64, 64, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.0.attn.proj.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.0.attn.sr.weight - torch.Size([64, 64, 4, 4]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.0.attn.sr.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.0.attn.norm1.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.0.attn.norm1.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.0.norm2.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.0.norm2.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.0.ffn.dwconv.dwconv.weight - torch.Size([512, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.0.ffn.dwconv.dwconv.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.0.ffn.pre_layers.0.weight - torch.Size([512, 64, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.0.ffn.pre_layers.0.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.0.ffn.pre_layers.1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.0.ffn.pre_layers.1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.0.ffn.post_layers.0.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.0.ffn.post_layers.0.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.0.ffn.post_layers.3.weight - torch.Size([64, 512, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.0.ffn.post_layers.3.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.1.norm1.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.1.norm1.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.1.attn.q.weight - torch.Size([64, 64, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.1.attn.q.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.1.attn.k.weight - torch.Size([64, 64, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.1.attn.k.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.1.attn.proj.weight - torch.Size([64, 64, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.1.attn.proj.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.1.attn.sr.weight - torch.Size([64, 64, 4, 4]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.1.attn.sr.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.1.attn.norm1.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.1.attn.norm1.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.1.norm2.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.1.norm2.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.1.ffn.dwconv.dwconv.weight - torch.Size([512, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.1.ffn.dwconv.dwconv.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.1.ffn.pre_layers.0.weight - torch.Size([512, 64, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.1.ffn.pre_layers.0.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.1.ffn.pre_layers.1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.1.ffn.pre_layers.1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.1.ffn.post_layers.0.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.1.ffn.post_layers.0.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.1.ffn.post_layers.3.weight - torch.Size([64, 512, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.1.ffn.post_layers.3.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.2.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.2.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.0.projection.weight - torch.Size([160, 64, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.0.projection.bias - torch.Size([160]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.0.norm.weight - torch.Size([160]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.0.norm.bias - torch.Size([160]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.0.norm1.weight - torch.Size([160]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.0.norm1.bias - torch.Size([160]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.0.attn.q.weight - torch.Size([160, 160, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.0.attn.q.bias - torch.Size([160]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.0.attn.k.weight - torch.Size([160, 160, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.0.attn.k.bias - torch.Size([160]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.0.attn.proj.weight - torch.Size([160, 160, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.0.attn.proj.bias - torch.Size([160]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.0.attn.sr.weight - torch.Size([160, 160, 2, 2]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.0.attn.sr.bias - torch.Size([160]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.0.attn.norm1.weight - torch.Size([160]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.0.attn.norm1.bias - torch.Size([160]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.0.norm2.weight - torch.Size([160]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.0.norm2.bias - torch.Size([160]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.0.ffn.dwconv.dwconv.weight - torch.Size([640, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.0.ffn.dwconv.dwconv.bias - torch.Size([640]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.0.ffn.pre_layers.0.weight - torch.Size([640, 160, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.0.ffn.pre_layers.0.bias - torch.Size([640]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.0.ffn.pre_layers.1.weight - torch.Size([640]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.0.ffn.pre_layers.1.bias - torch.Size([640]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.0.ffn.post_layers.0.weight - torch.Size([640]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.0.ffn.post_layers.0.bias - torch.Size([640]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.0.ffn.post_layers.3.weight - torch.Size([160, 640, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.0.ffn.post_layers.3.bias - torch.Size([160]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.1.norm1.weight - torch.Size([160]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.1.norm1.bias - torch.Size([160]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.1.attn.q.weight - torch.Size([160, 160, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.1.attn.q.bias - torch.Size([160]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.1.attn.k.weight - torch.Size([160, 160, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.1.attn.k.bias - torch.Size([160]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.1.attn.proj.weight - torch.Size([160, 160, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.1.attn.proj.bias - torch.Size([160]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.1.attn.sr.weight - torch.Size([160, 160, 2, 2]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.1.attn.sr.bias - torch.Size([160]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.1.attn.norm1.weight - torch.Size([160]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.1.attn.norm1.bias - torch.Size([160]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.1.norm2.weight - torch.Size([160]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.1.norm2.bias - torch.Size([160]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.1.ffn.dwconv.dwconv.weight - torch.Size([640, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.1.ffn.dwconv.dwconv.bias - torch.Size([640]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.1.ffn.pre_layers.0.weight - torch.Size([640, 160, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.1.ffn.pre_layers.0.bias - torch.Size([640]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.1.ffn.pre_layers.1.weight - torch.Size([640]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.1.ffn.pre_layers.1.bias - torch.Size([640]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.1.ffn.post_layers.0.weight - torch.Size([640]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.1.ffn.post_layers.0.bias - torch.Size([640]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.1.ffn.post_layers.3.weight - torch.Size([160, 640, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.1.ffn.post_layers.3.bias - torch.Size([160]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.2.weight - torch.Size([160]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.2.bias - torch.Size([160]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.0.projection.weight - torch.Size([256, 160, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.0.projection.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.0.norm.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.0.norm.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.0.norm1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.0.norm1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.0.attn.q.weight - torch.Size([256, 256, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.0.attn.q.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.0.attn.k.weight - torch.Size([256, 256, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.0.attn.k.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.0.attn.proj.weight - torch.Size([256, 256, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.0.attn.proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.0.norm2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.0.norm2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.0.ffn.dwconv.dwconv.weight - torch.Size([1024, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.0.ffn.dwconv.dwconv.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.0.ffn.pre_layers.0.weight - torch.Size([1024, 256, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.0.ffn.pre_layers.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.0.ffn.pre_layers.1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.0.ffn.pre_layers.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.0.ffn.post_layers.0.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.0.ffn.post_layers.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.0.ffn.post_layers.3.weight - torch.Size([256, 1024, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.0.ffn.post_layers.3.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.1.norm1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.1.norm1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.1.attn.q.weight - torch.Size([256, 256, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.1.attn.q.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.1.attn.k.weight - torch.Size([256, 256, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.1.attn.k.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.1.attn.proj.weight - torch.Size([256, 256, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.1.attn.proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.1.norm2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.1.norm2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.1.ffn.dwconv.dwconv.weight - torch.Size([1024, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.1.ffn.dwconv.dwconv.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.1.ffn.pre_layers.0.weight - torch.Size([1024, 256, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.1.ffn.pre_layers.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.1.ffn.pre_layers.1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.1.ffn.pre_layers.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.1.ffn.post_layers.0.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.1.ffn.post_layers.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.1.ffn.post_layers.3.weight - torch.Size([256, 1024, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.1.ffn.post_layers.3.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.conv_seg.weight - torch.Size([19, 32, 1, 1]): NormalInit: mean=0, std=0.01, bias=0 decode_head.conv_seg.bias - torch.Size([19]): NormalInit: mean=0, std=0.01, bias=0 decode_head.convs.0.conv.weight - torch.Size([32, 32, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.convs.0.conv.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.convs.1.conv.weight - torch.Size([64, 64, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.convs.1.conv.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.convs.2.conv.weight - torch.Size([160, 160, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.convs.2.conv.bias - torch.Size([160]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.convs.3.conv.weight - torch.Size([256, 256, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.fuse_convs.0.conv.weight - torch.Size([32, 96, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.fuse_convs.0.conv.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.fuse_convs.1.conv.weight - torch.Size([64, 224, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.fuse_convs.1.conv.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.fuse_convs.2.conv.weight - torch.Size([160, 416, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.fuse_convs.2.conv.bias - torch.Size([160]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.fuse_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.fuse_convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder 2023-01-05 23:20:33,649 - mmseg - INFO - EncoderDecoder( (backbone): SimplifiedMixTransformer( (layers): ModuleList( (0): ModuleList( (0): SimplifiedPatchEmbed( (projection): Conv2d(3, 32, kernel_size=(7, 7), stride=(4, 4), padding=(3, 3)) (norm): SyncBatchNorm(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (1): ModuleList( (0): SimpliefiedTransformerEncoderLayer( (norm1): SyncBatchNorm(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (attn): SimplifiedAttention( (q): Conv1d(32, 32, kernel_size=(1,), stride=(1,)) (k): Conv1d(32, 32, kernel_size=(1,), stride=(1,)) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Conv1d(32, 32, kernel_size=(1,), stride=(1,)) (proj_drop): Dropout(p=0.0, inplace=False) (sr): Conv2d(32, 32, kernel_size=(8, 8), stride=(8, 8)) (norm1): SyncBatchNorm(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (dropout_layer): DropPath() ) (norm2): SyncBatchNorm(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (ffn): MixFFN( (dwconv): DWConv( (dwconv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) ) (pre_layers): Sequential( (0): Conv1d(32, 256, kernel_size=(1,), stride=(1,)) (1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (post_layers): Sequential( (0): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (1): ReLU() (2): Dropout(p=0.0, inplace=False) (3): Conv1d(256, 32, kernel_size=(1,), stride=(1,)) (4): Dropout(p=0.0, inplace=False) ) (dropout_layer): DropPath() ) ) (1): SimpliefiedTransformerEncoderLayer( (norm1): SyncBatchNorm(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (attn): SimplifiedAttention( (q): Conv1d(32, 32, kernel_size=(1,), stride=(1,)) (k): Conv1d(32, 32, kernel_size=(1,), stride=(1,)) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Conv1d(32, 32, kernel_size=(1,), stride=(1,)) (proj_drop): Dropout(p=0.0, inplace=False) (sr): Conv2d(32, 32, kernel_size=(8, 8), stride=(8, 8)) (norm1): SyncBatchNorm(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (dropout_layer): DropPath() ) (norm2): SyncBatchNorm(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (ffn): MixFFN( (dwconv): DWConv( (dwconv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) ) (pre_layers): Sequential( (0): Conv1d(32, 256, kernel_size=(1,), stride=(1,)) (1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (post_layers): Sequential( (0): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (1): ReLU() (2): Dropout(p=0.0, inplace=False) (3): Conv1d(256, 32, kernel_size=(1,), stride=(1,)) (4): Dropout(p=0.0, inplace=False) ) (dropout_layer): DropPath() ) ) ) (2): SyncBatchNorm(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (1): ModuleList( (0): SimplifiedPatchEmbed( (projection): Conv2d(32, 64, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) (norm): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (1): ModuleList( (0): SimpliefiedTransformerEncoderLayer( (norm1): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (attn): SimplifiedAttention( (q): Conv1d(64, 64, kernel_size=(1,), stride=(1,)) (k): Conv1d(64, 64, kernel_size=(1,), stride=(1,)) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Conv1d(64, 64, kernel_size=(1,), stride=(1,)) (proj_drop): Dropout(p=0.0, inplace=False) (sr): Conv2d(64, 64, kernel_size=(4, 4), stride=(4, 4)) (norm1): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (dropout_layer): DropPath() ) (norm2): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (ffn): MixFFN( (dwconv): DWConv( (dwconv): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512) ) (pre_layers): Sequential( (0): Conv1d(64, 512, kernel_size=(1,), stride=(1,)) (1): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (post_layers): Sequential( (0): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (1): ReLU() (2): Dropout(p=0.0, inplace=False) (3): Conv1d(512, 64, kernel_size=(1,), stride=(1,)) (4): Dropout(p=0.0, inplace=False) ) (dropout_layer): DropPath() ) ) (1): SimpliefiedTransformerEncoderLayer( (norm1): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (attn): SimplifiedAttention( (q): Conv1d(64, 64, kernel_size=(1,), stride=(1,)) (k): Conv1d(64, 64, kernel_size=(1,), stride=(1,)) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Conv1d(64, 64, kernel_size=(1,), stride=(1,)) (proj_drop): Dropout(p=0.0, inplace=False) (sr): Conv2d(64, 64, kernel_size=(4, 4), stride=(4, 4)) (norm1): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (dropout_layer): DropPath() ) (norm2): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (ffn): MixFFN( (dwconv): DWConv( (dwconv): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512) ) (pre_layers): Sequential( (0): Conv1d(64, 512, kernel_size=(1,), stride=(1,)) (1): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (post_layers): Sequential( (0): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (1): ReLU() (2): Dropout(p=0.0, inplace=False) (3): Conv1d(512, 64, kernel_size=(1,), stride=(1,)) (4): Dropout(p=0.0, inplace=False) ) (dropout_layer): DropPath() ) ) ) (2): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (2): ModuleList( (0): SimplifiedPatchEmbed( (projection): Conv2d(64, 160, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) (norm): SyncBatchNorm(160, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (1): ModuleList( (0): SimpliefiedTransformerEncoderLayer( (norm1): SyncBatchNorm(160, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (attn): SimplifiedAttention( (q): Conv1d(160, 160, kernel_size=(1,), stride=(1,)) (k): Conv1d(160, 160, kernel_size=(1,), stride=(1,)) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Conv1d(160, 160, kernel_size=(1,), stride=(1,)) (proj_drop): Dropout(p=0.0, inplace=False) (sr): Conv2d(160, 160, kernel_size=(2, 2), stride=(2, 2)) (norm1): SyncBatchNorm(160, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (dropout_layer): DropPath() ) (norm2): SyncBatchNorm(160, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (ffn): MixFFN( (dwconv): DWConv( (dwconv): Conv2d(640, 640, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=640) ) (pre_layers): Sequential( (0): Conv1d(160, 640, kernel_size=(1,), stride=(1,)) (1): SyncBatchNorm(640, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (post_layers): Sequential( (0): SyncBatchNorm(640, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (1): ReLU() (2): Dropout(p=0.0, inplace=False) (3): Conv1d(640, 160, kernel_size=(1,), stride=(1,)) (4): Dropout(p=0.0, inplace=False) ) (dropout_layer): DropPath() ) ) (1): SimpliefiedTransformerEncoderLayer( (norm1): SyncBatchNorm(160, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (attn): SimplifiedAttention( (q): Conv1d(160, 160, kernel_size=(1,), stride=(1,)) (k): Conv1d(160, 160, kernel_size=(1,), stride=(1,)) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Conv1d(160, 160, kernel_size=(1,), stride=(1,)) (proj_drop): Dropout(p=0.0, inplace=False) (sr): Conv2d(160, 160, kernel_size=(2, 2), stride=(2, 2)) (norm1): SyncBatchNorm(160, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (dropout_layer): DropPath() ) (norm2): SyncBatchNorm(160, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (ffn): MixFFN( (dwconv): DWConv( (dwconv): Conv2d(640, 640, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=640) ) (pre_layers): Sequential( (0): Conv1d(160, 640, kernel_size=(1,), stride=(1,)) (1): SyncBatchNorm(640, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (post_layers): Sequential( (0): SyncBatchNorm(640, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (1): ReLU() (2): Dropout(p=0.0, inplace=False) (3): Conv1d(640, 160, kernel_size=(1,), stride=(1,)) (4): Dropout(p=0.0, inplace=False) ) (dropout_layer): DropPath() ) ) ) (2): SyncBatchNorm(160, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (3): ModuleList( (0): SimplifiedPatchEmbed( (projection): Conv2d(160, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) (norm): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (1): ModuleList( (0): SimpliefiedTransformerEncoderLayer( (norm1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (attn): SimplifiedAttention( (q): Conv1d(256, 256, kernel_size=(1,), stride=(1,)) (k): Conv1d(256, 256, kernel_size=(1,), stride=(1,)) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Conv1d(256, 256, kernel_size=(1,), stride=(1,)) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): DropPath() ) (norm2): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (ffn): MixFFN( (dwconv): DWConv( (dwconv): Conv2d(1024, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1024) ) (pre_layers): Sequential( (0): Conv1d(256, 1024, kernel_size=(1,), stride=(1,)) (1): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (post_layers): Sequential( (0): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (1): ReLU() (2): Dropout(p=0.0, inplace=False) (3): Conv1d(1024, 256, kernel_size=(1,), stride=(1,)) (4): Dropout(p=0.0, inplace=False) ) (dropout_layer): DropPath() ) ) (1): SimpliefiedTransformerEncoderLayer( (norm1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (attn): SimplifiedAttention( (q): Conv1d(256, 256, kernel_size=(1,), stride=(1,)) (k): Conv1d(256, 256, kernel_size=(1,), stride=(1,)) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Conv1d(256, 256, kernel_size=(1,), stride=(1,)) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): DropPath() ) (norm2): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (ffn): MixFFN( (dwconv): DWConv( (dwconv): Conv2d(1024, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1024) ) (pre_layers): Sequential( (0): Conv1d(256, 1024, kernel_size=(1,), stride=(1,)) (1): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (post_layers): Sequential( (0): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (1): ReLU() (2): Dropout(p=0.0, inplace=False) (3): Conv1d(1024, 256, kernel_size=(1,), stride=(1,)) (4): Dropout(p=0.0, inplace=False) ) (dropout_layer): DropPath() ) ) ) (2): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) ) (decode_head): DESTHead( input_transform=multiple_select, ignore_index=255, align_corners=False (loss_decode): CrossEntropyLoss(avg_non_ignore=False) (conv_seg): Conv2d(32, 19, kernel_size=(1, 1), stride=(1, 1)) (dropout): Dropout2d(p=0.1, inplace=False) (convs): ModuleList( (0): ConvModule( (conv): Conv2d(32, 32, kernel_size=(1, 1), stride=(1, 1)) (activate): ReLU(inplace=True) ) (1): ConvModule( (conv): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1)) (activate): ReLU(inplace=True) ) (2): ConvModule( (conv): Conv2d(160, 160, kernel_size=(1, 1), stride=(1, 1)) (activate): ReLU(inplace=True) ) (3): ConvModule( (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1)) (activate): ReLU(inplace=True) ) ) (fuse_convs): ModuleList( (0): ConvModule( (conv): Conv2d(96, 32, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (activate): ReLU(inplace=True) ) (1): ConvModule( (conv): Conv2d(224, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (activate): ReLU(inplace=True) ) (2): ConvModule( (conv): Conv2d(416, 160, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (activate): ReLU(inplace=True) ) (3): ConvModule( (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (activate): ReLU(inplace=True) ) ) (upsample): ModuleList( (0): Sequential( (0): Upsample(scale_factor=2.0, mode=bilinear) ) (1): Sequential( (0): Upsample(scale_factor=2.0, mode=bilinear) ) (2): Sequential( (0): Upsample(scale_factor=2.0, mode=bilinear) ) (3): Sequential( (0): Upsample(scale_factor=2.0, mode=bilinear) ) ) ) init_cfg={'type': 'Normal', 'std': 0.01, 'override': {'name': 'conv_seg'}} ) 2023-01-05 23:20:33,766 - mmseg - INFO - Loaded 2975 images 2023-01-05 23:20:34,392 - mmseg - INFO - Loaded 500 images 2023-01-05 23:20:34,394 - mmseg - INFO - Start running, host: root@3920457, work_dir: /workspace/result/train_log 2023-01-05 23:20:34,394 - mmseg - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) PolyLrUpdaterHook (NORMAL ) CheckpointHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_train_epoch: (VERY_HIGH ) PolyLrUpdaterHook (LOW ) IterTimerHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_train_iter: (VERY_HIGH ) PolyLrUpdaterHook (LOW ) IterTimerHook (LOW ) DistEvalHook -------------------- after_train_iter: (ABOVE_NORMAL) OptimizerHook (NORMAL ) CheckpointHook (LOW ) IterTimerHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- after_train_epoch: (NORMAL ) CheckpointHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_val_epoch: (LOW ) IterTimerHook (VERY_LOW ) TextLoggerHook -------------------- before_val_iter: (LOW ) IterTimerHook -------------------- after_val_iter: (LOW ) IterTimerHook -------------------- after_val_epoch: (VERY_LOW ) TextLoggerHook -------------------- after_run: (VERY_LOW ) TextLoggerHook -------------------- 2023-01-05 23:20:34,394 - mmseg - INFO - workflow: [('train', 1)], max: 160000 iters 2023-01-05 23:20:34,395 - mmseg - INFO - Checkpoints will be saved to /workspace/result/train_log by HardDiskBackend. 2023-01-05 23:20:54,413 - mmseg - INFO - Iter [50/160000] lr: 1.959e-06, eta: 14:07:01, time: 0.318, data_time: 0.032, memory: 9544, decode.loss_ce: 2.4071, decode.acc_seg: 17.6076, loss: 2.4071 2023-01-05 23:21:07,229 - mmseg - INFO - Iter [100/160000] lr: 3.958e-06, eta: 12:44:37, time: 0.256, data_time: 0.023, memory: 9544, decode.loss_ce: 1.9047, decode.acc_seg: 32.2325, loss: 1.9047 2023-01-05 23:21:20,058 - mmseg - INFO - Iter [150/160000] lr: 5.955e-06, eta: 12:17:39, time: 0.257, data_time: 0.010, memory: 9544, decode.loss_ce: 1.3994, decode.acc_seg: 50.5793, loss: 1.3994 2023-01-05 23:21:32,553 - mmseg - INFO - Iter [200/160000] lr: 7.950e-06, eta: 11:59:27, time: 0.250, data_time: 0.011, memory: 9544, decode.loss_ce: 1.2050, decode.acc_seg: 56.8626, loss: 1.2050 2023-01-05 23:21:45,168 - mmseg - INFO - Iter [250/160000] lr: 9.945e-06, eta: 11:49:42, time: 0.252, data_time: 0.009, memory: 9544, decode.loss_ce: 1.1009, decode.acc_seg: 61.7431, loss: 1.1009 2023-01-05 23:21:58,109 - mmseg - INFO - Iter [300/160000] lr: 1.194e-05, eta: 11:45:57, time: 0.259, data_time: 0.009, memory: 9544, decode.loss_ce: 1.0375, decode.acc_seg: 62.5980, loss: 1.0375 2023-01-05 23:22:10,600 - mmseg - INFO - Iter [350/160000] lr: 1.393e-05, eta: 11:39:54, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.9960, decode.acc_seg: 65.3098, loss: 0.9960 2023-01-05 23:22:25,093 - mmseg - INFO - Iter [400/160000] lr: 1.592e-05, eta: 11:48:38, time: 0.290, data_time: 0.066, memory: 9544, decode.loss_ce: 0.9877, decode.acc_seg: 64.7341, loss: 0.9877 2023-01-05 23:22:37,408 - mmseg - INFO - Iter [450/160000] lr: 1.791e-05, eta: 11:42:23, time: 0.246, data_time: 0.013, memory: 9544, decode.loss_ce: 0.9041, decode.acc_seg: 68.8962, loss: 0.9041 2023-01-05 23:22:49,604 - mmseg - INFO - Iter [500/160000] lr: 1.990e-05, eta: 11:36:49, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.9925, decode.acc_seg: 66.3123, loss: 0.9925 2023-01-05 23:23:01,741 - mmseg - INFO - Iter [550/160000] lr: 2.188e-05, eta: 11:31:54, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.8584, decode.acc_seg: 70.3252, loss: 0.8584 2023-01-05 23:23:14,102 - mmseg - INFO - Iter [600/160000] lr: 2.387e-05, eta: 11:28:48, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.8491, decode.acc_seg: 70.4645, loss: 0.8491 2023-01-05 23:23:26,636 - mmseg - INFO - Iter [650/160000] lr: 2.585e-05, eta: 11:26:51, time: 0.251, data_time: 0.022, memory: 9544, decode.loss_ce: 0.8703, decode.acc_seg: 70.3027, loss: 0.8703 2023-01-05 23:23:38,923 - mmseg - INFO - Iter [700/160000] lr: 2.784e-05, eta: 11:24:10, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.8119, decode.acc_seg: 71.1336, loss: 0.8119 2023-01-05 23:23:53,457 - mmseg - INFO - Iter [750/160000] lr: 2.982e-05, eta: 11:29:47, time: 0.291, data_time: 0.057, memory: 9544, decode.loss_ce: 0.8325, decode.acc_seg: 71.1071, loss: 0.8325 2023-01-05 23:24:05,766 - mmseg - INFO - Iter [800/160000] lr: 3.180e-05, eta: 11:27:18, time: 0.246, data_time: 0.012, memory: 9544, decode.loss_ce: 0.7915, decode.acc_seg: 72.5925, loss: 0.7915 2023-01-05 23:24:18,069 - mmseg - INFO - Iter [850/160000] lr: 3.378e-05, eta: 11:25:04, time: 0.246, data_time: 0.013, memory: 9544, decode.loss_ce: 0.8106, decode.acc_seg: 71.7748, loss: 0.8106 2023-01-05 23:24:30,568 - mmseg - INFO - Iter [900/160000] lr: 3.576e-05, eta: 11:23:37, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.7823, decode.acc_seg: 73.5395, loss: 0.7823 2023-01-05 23:24:42,706 - mmseg - INFO - Iter [950/160000] lr: 3.773e-05, eta: 11:21:16, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.8014, decode.acc_seg: 73.0547, loss: 0.8014 2023-01-05 23:24:55,083 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-05 23:24:55,084 - mmseg - INFO - Iter [1000/160000] lr: 3.971e-05, eta: 11:19:49, time: 0.248, data_time: 0.018, memory: 9544, decode.loss_ce: 0.8036, decode.acc_seg: 73.1548, loss: 0.8036 2023-01-05 23:25:07,352 - mmseg - INFO - Iter [1050/160000] lr: 4.168e-05, eta: 11:18:13, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.7478, decode.acc_seg: 74.8509, loss: 0.7478 2023-01-05 23:25:19,611 - mmseg - INFO - Iter [1100/160000] lr: 4.366e-05, eta: 11:16:41, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.7614, decode.acc_seg: 73.8919, loss: 0.7614 2023-01-05 23:25:34,181 - mmseg - INFO - Iter [1150/160000] lr: 4.563e-05, eta: 11:20:34, time: 0.291, data_time: 0.087, memory: 9544, decode.loss_ce: 0.7371, decode.acc_seg: 74.3587, loss: 0.7371 2023-01-05 23:25:46,691 - mmseg - INFO - Iter [1200/160000] lr: 4.760e-05, eta: 11:19:38, time: 0.251, data_time: 0.060, memory: 9544, decode.loss_ce: 0.7629, decode.acc_seg: 74.3897, loss: 0.7629 2023-01-05 23:25:58,738 - mmseg - INFO - Iter [1250/160000] lr: 4.957e-05, eta: 11:17:43, time: 0.241, data_time: 0.010, memory: 9544, decode.loss_ce: 0.7287, decode.acc_seg: 75.1204, loss: 0.7287 2023-01-05 23:26:10,835 - mmseg - INFO - Iter [1300/160000] lr: 5.154e-05, eta: 11:16:05, time: 0.242, data_time: 0.028, memory: 9544, decode.loss_ce: 0.6991, decode.acc_seg: 75.7699, loss: 0.6991 2023-01-05 23:26:23,038 - mmseg - INFO - Iter [1350/160000] lr: 5.351e-05, eta: 11:14:42, time: 0.244, data_time: 0.012, memory: 9544, decode.loss_ce: 0.6945, decode.acc_seg: 75.6089, loss: 0.6945 2023-01-05 23:26:35,230 - mmseg - INFO - Iter [1400/160000] lr: 5.547e-05, eta: 11:13:26, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.6986, decode.acc_seg: 76.2388, loss: 0.6986 2023-01-05 23:26:47,465 - mmseg - INFO - Iter [1450/160000] lr: 5.744e-05, eta: 11:12:18, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.7334, decode.acc_seg: 75.0727, loss: 0.7334 2023-01-05 23:27:02,086 - mmseg - INFO - Iter [1500/160000] lr: 5.940e-05, eta: 11:15:26, time: 0.292, data_time: 0.056, memory: 9544, decode.loss_ce: 0.7101, decode.acc_seg: 76.0356, loss: 0.7101 2023-01-05 23:27:14,530 - mmseg - INFO - Iter [1550/160000] lr: 5.942e-05, eta: 11:14:39, time: 0.249, data_time: 0.009, memory: 9544, decode.loss_ce: 0.7033, decode.acc_seg: 76.5823, loss: 0.7033 2023-01-05 23:27:26,864 - mmseg - INFO - Iter [1600/160000] lr: 5.940e-05, eta: 11:13:43, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.7060, decode.acc_seg: 76.3539, loss: 0.7060 2023-01-05 23:27:39,205 - mmseg - INFO - Iter [1650/160000] lr: 5.938e-05, eta: 11:12:50, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.6279, decode.acc_seg: 78.1994, loss: 0.6279 2023-01-05 23:27:51,648 - mmseg - INFO - Iter [1700/160000] lr: 5.936e-05, eta: 11:12:09, time: 0.249, data_time: 0.009, memory: 9544, decode.loss_ce: 0.6730, decode.acc_seg: 76.3142, loss: 0.6730 2023-01-05 23:28:04,113 - mmseg - INFO - Iter [1750/160000] lr: 5.934e-05, eta: 11:11:31, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.6427, decode.acc_seg: 78.0362, loss: 0.6427 2023-01-05 23:28:16,427 - mmseg - INFO - Iter [1800/160000] lr: 5.933e-05, eta: 11:10:41, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.5948, decode.acc_seg: 79.4993, loss: 0.5948 2023-01-05 23:28:28,661 - mmseg - INFO - Iter [1850/160000] lr: 5.931e-05, eta: 11:09:47, time: 0.245, data_time: 0.024, memory: 9544, decode.loss_ce: 0.6083, decode.acc_seg: 79.1532, loss: 0.6083 2023-01-05 23:28:43,056 - mmseg - INFO - Iter [1900/160000] lr: 5.929e-05, eta: 11:11:54, time: 0.288, data_time: 0.090, memory: 9544, decode.loss_ce: 0.6331, decode.acc_seg: 78.1822, loss: 0.6331 2023-01-05 23:28:55,181 - mmseg - INFO - Iter [1950/160000] lr: 5.927e-05, eta: 11:10:51, time: 0.243, data_time: 0.011, memory: 9544, decode.loss_ce: 0.5959, decode.acc_seg: 79.4844, loss: 0.5959 2023-01-05 23:29:07,438 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-05 23:29:07,439 - mmseg - INFO - Iter [2000/160000] lr: 5.925e-05, eta: 11:10:01, time: 0.245, data_time: 0.019, memory: 9544, decode.loss_ce: 0.6063, decode.acc_seg: 79.3261, loss: 0.6063 2023-01-05 23:29:19,605 - mmseg - INFO - Iter [2050/160000] lr: 5.923e-05, eta: 11:09:05, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.6108, decode.acc_seg: 79.1896, loss: 0.6108 2023-01-05 23:29:31,749 - mmseg - INFO - Iter [2100/160000] lr: 5.921e-05, eta: 11:08:11, time: 0.243, data_time: 0.020, memory: 9544, decode.loss_ce: 0.5929, decode.acc_seg: 79.8807, loss: 0.5929 2023-01-05 23:29:44,167 - mmseg - INFO - Iter [2150/160000] lr: 5.919e-05, eta: 11:07:36, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.6066, decode.acc_seg: 79.0537, loss: 0.6066 2023-01-05 23:29:56,427 - mmseg - INFO - Iter [2200/160000] lr: 5.918e-05, eta: 11:06:53, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.6270, decode.acc_seg: 78.4743, loss: 0.6270 2023-01-05 23:30:10,914 - mmseg - INFO - Iter [2250/160000] lr: 5.916e-05, eta: 11:08:48, time: 0.290, data_time: 0.065, memory: 9544, decode.loss_ce: 0.6016, decode.acc_seg: 78.9675, loss: 0.6016 2023-01-05 23:30:22,947 - mmseg - INFO - Iter [2300/160000] lr: 5.914e-05, eta: 11:07:47, time: 0.241, data_time: 0.009, memory: 9544, decode.loss_ce: 0.5879, decode.acc_seg: 79.7363, loss: 0.5879 2023-01-05 23:30:35,186 - mmseg - INFO - Iter [2350/160000] lr: 5.912e-05, eta: 11:07:04, time: 0.245, data_time: 0.028, memory: 9544, decode.loss_ce: 0.5417, decode.acc_seg: 81.4060, loss: 0.5417 2023-01-05 23:30:47,373 - mmseg - INFO - Iter [2400/160000] lr: 5.910e-05, eta: 11:06:17, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.6025, decode.acc_seg: 79.7875, loss: 0.6025 2023-01-05 23:30:59,647 - mmseg - INFO - Iter [2450/160000] lr: 5.908e-05, eta: 11:05:38, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.5555, decode.acc_seg: 80.8411, loss: 0.5555 2023-01-05 23:31:11,911 - mmseg - INFO - Iter [2500/160000] lr: 5.906e-05, eta: 11:05:01, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.5893, decode.acc_seg: 80.0760, loss: 0.5893 2023-01-05 23:31:24,322 - mmseg - INFO - Iter [2550/160000] lr: 5.904e-05, eta: 11:04:31, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.5695, decode.acc_seg: 80.5141, loss: 0.5695 2023-01-05 23:31:36,493 - mmseg - INFO - Iter [2600/160000] lr: 5.903e-05, eta: 11:03:50, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.5123, decode.acc_seg: 82.2644, loss: 0.5123 2023-01-05 23:31:50,898 - mmseg - INFO - Iter [2650/160000] lr: 5.901e-05, eta: 11:05:21, time: 0.288, data_time: 0.060, memory: 9544, decode.loss_ce: 0.5728, decode.acc_seg: 80.3460, loss: 0.5728 2023-01-05 23:32:03,341 - mmseg - INFO - Iter [2700/160000] lr: 5.899e-05, eta: 11:04:54, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.5317, decode.acc_seg: 81.8614, loss: 0.5317 2023-01-05 23:32:15,437 - mmseg - INFO - Iter [2750/160000] lr: 5.897e-05, eta: 11:04:08, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.5108, decode.acc_seg: 82.2218, loss: 0.5108 2023-01-05 23:32:27,492 - mmseg - INFO - Iter [2800/160000] lr: 5.895e-05, eta: 11:03:21, time: 0.241, data_time: 0.010, memory: 9544, decode.loss_ce: 0.5555, decode.acc_seg: 81.0204, loss: 0.5555 2023-01-05 23:32:39,720 - mmseg - INFO - Iter [2850/160000] lr: 5.893e-05, eta: 11:02:44, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.5281, decode.acc_seg: 81.2986, loss: 0.5281 2023-01-05 23:32:52,035 - mmseg - INFO - Iter [2900/160000] lr: 5.891e-05, eta: 11:02:14, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.4883, decode.acc_seg: 82.5006, loss: 0.4883 2023-01-05 23:33:04,117 - mmseg - INFO - Iter [2950/160000] lr: 5.889e-05, eta: 11:01:30, time: 0.241, data_time: 0.010, memory: 9544, decode.loss_ce: 0.5320, decode.acc_seg: 81.6091, loss: 0.5320 2023-01-05 23:33:18,646 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-05 23:33:18,647 - mmseg - INFO - Iter [3000/160000] lr: 5.888e-05, eta: 11:02:57, time: 0.291, data_time: 0.075, memory: 9544, decode.loss_ce: 0.5326, decode.acc_seg: 81.4223, loss: 0.5326 2023-01-05 23:33:31,066 - mmseg - INFO - Iter [3050/160000] lr: 5.886e-05, eta: 11:02:31, time: 0.248, data_time: 0.028, memory: 9544, decode.loss_ce: 0.5122, decode.acc_seg: 81.4980, loss: 0.5122 2023-01-05 23:33:43,225 - mmseg - INFO - Iter [3100/160000] lr: 5.884e-05, eta: 11:01:53, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.5567, decode.acc_seg: 81.2673, loss: 0.5567 2023-01-05 23:33:55,338 - mmseg - INFO - Iter [3150/160000] lr: 5.882e-05, eta: 11:01:14, time: 0.242, data_time: 0.036, memory: 9544, decode.loss_ce: 0.5107, decode.acc_seg: 82.3878, loss: 0.5107 2023-01-05 23:34:07,800 - mmseg - INFO - Iter [3200/160000] lr: 5.880e-05, eta: 11:00:52, time: 0.249, data_time: 0.027, memory: 9544, decode.loss_ce: 0.5052, decode.acc_seg: 82.6892, loss: 0.5052 2023-01-05 23:34:19,924 - mmseg - INFO - Iter [3250/160000] lr: 5.878e-05, eta: 11:00:14, time: 0.242, data_time: 0.009, memory: 9544, decode.loss_ce: 0.4713, decode.acc_seg: 83.5799, loss: 0.4713 2023-01-05 23:34:32,345 - mmseg - INFO - Iter [3300/160000] lr: 5.876e-05, eta: 10:59:51, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.5276, decode.acc_seg: 81.8381, loss: 0.5276 2023-01-05 23:34:46,809 - mmseg - INFO - Iter [3350/160000] lr: 5.874e-05, eta: 11:01:03, time: 0.289, data_time: 0.055, memory: 9544, decode.loss_ce: 0.4917, decode.acc_seg: 83.1596, loss: 0.4917 2023-01-05 23:34:59,195 - mmseg - INFO - Iter [3400/160000] lr: 5.873e-05, eta: 11:00:39, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.4893, decode.acc_seg: 82.6178, loss: 0.4893 2023-01-05 23:35:11,449 - mmseg - INFO - Iter [3450/160000] lr: 5.871e-05, eta: 11:00:07, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.5024, decode.acc_seg: 83.1115, loss: 0.5024 2023-01-05 23:35:23,984 - mmseg - INFO - Iter [3500/160000] lr: 5.869e-05, eta: 10:59:50, time: 0.251, data_time: 0.011, memory: 9544, decode.loss_ce: 0.5181, decode.acc_seg: 82.1368, loss: 0.5181 2023-01-05 23:35:36,243 - mmseg - INFO - Iter [3550/160000] lr: 5.867e-05, eta: 10:59:20, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.4957, decode.acc_seg: 83.2145, loss: 0.4957 2023-01-05 23:35:48,601 - mmseg - INFO - Iter [3600/160000] lr: 5.865e-05, eta: 10:58:55, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.5090, decode.acc_seg: 82.3058, loss: 0.5090 2023-01-05 23:36:00,666 - mmseg - INFO - Iter [3650/160000] lr: 5.863e-05, eta: 10:58:18, time: 0.241, data_time: 0.010, memory: 9544, decode.loss_ce: 0.4737, decode.acc_seg: 84.0747, loss: 0.4737 2023-01-05 23:36:12,818 - mmseg - INFO - Iter [3700/160000] lr: 5.861e-05, eta: 10:57:45, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.4734, decode.acc_seg: 83.6853, loss: 0.4734 2023-01-05 23:36:27,399 - mmseg - INFO - Iter [3750/160000] lr: 5.859e-05, eta: 10:58:54, time: 0.292, data_time: 0.072, memory: 9544, decode.loss_ce: 0.4898, decode.acc_seg: 82.8216, loss: 0.4898 2023-01-05 23:36:39,786 - mmseg - INFO - Iter [3800/160000] lr: 5.858e-05, eta: 10:58:30, time: 0.248, data_time: 0.026, memory: 9544, decode.loss_ce: 0.4939, decode.acc_seg: 82.2771, loss: 0.4939 2023-01-05 23:36:51,964 - mmseg - INFO - Iter [3850/160000] lr: 5.856e-05, eta: 10:57:58, time: 0.243, data_time: 0.050, memory: 9544, decode.loss_ce: 0.4616, decode.acc_seg: 84.1369, loss: 0.4616 2023-01-05 23:37:04,456 - mmseg - INFO - Iter [3900/160000] lr: 5.854e-05, eta: 10:57:40, time: 0.250, data_time: 0.081, memory: 9544, decode.loss_ce: 0.4956, decode.acc_seg: 82.6938, loss: 0.4956 2023-01-05 23:37:16,739 - mmseg - INFO - Iter [3950/160000] lr: 5.852e-05, eta: 10:57:13, time: 0.246, data_time: 0.075, memory: 9544, decode.loss_ce: 0.4659, decode.acc_seg: 83.5401, loss: 0.4659 2023-01-05 23:37:29,096 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-05 23:37:29,097 - mmseg - INFO - Iter [4000/160000] lr: 5.850e-05, eta: 10:56:49, time: 0.247, data_time: 0.016, memory: 9544, decode.loss_ce: 0.5119, decode.acc_seg: 82.1724, loss: 0.5119 2023-01-05 23:37:41,386 - mmseg - INFO - Iter [4050/160000] lr: 5.848e-05, eta: 10:56:24, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.4966, decode.acc_seg: 83.0540, loss: 0.4966 2023-01-05 23:37:55,910 - mmseg - INFO - Iter [4100/160000] lr: 5.846e-05, eta: 10:57:23, time: 0.290, data_time: 0.094, memory: 9544, decode.loss_ce: 0.5026, decode.acc_seg: 82.9317, loss: 0.5026 2023-01-05 23:38:08,234 - mmseg - INFO - Iter [4150/160000] lr: 5.844e-05, eta: 10:56:59, time: 0.247, data_time: 0.015, memory: 9544, decode.loss_ce: 0.4568, decode.acc_seg: 83.7136, loss: 0.4568 2023-01-05 23:38:20,783 - mmseg - INFO - Iter [4200/160000] lr: 5.843e-05, eta: 10:56:42, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.4898, decode.acc_seg: 83.1414, loss: 0.4898 2023-01-05 23:38:32,866 - mmseg - INFO - Iter [4250/160000] lr: 5.841e-05, eta: 10:56:09, time: 0.242, data_time: 0.009, memory: 9544, decode.loss_ce: 0.4441, decode.acc_seg: 84.4306, loss: 0.4441 2023-01-05 23:38:45,042 - mmseg - INFO - Iter [4300/160000] lr: 5.839e-05, eta: 10:55:40, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.4579, decode.acc_seg: 84.3784, loss: 0.4579 2023-01-05 23:38:57,286 - mmseg - INFO - Iter [4350/160000] lr: 5.837e-05, eta: 10:55:13, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.4472, decode.acc_seg: 84.5652, loss: 0.4472 2023-01-05 23:39:09,543 - mmseg - INFO - Iter [4400/160000] lr: 5.835e-05, eta: 10:54:47, time: 0.245, data_time: 0.013, memory: 9544, decode.loss_ce: 0.4568, decode.acc_seg: 83.8835, loss: 0.4568 2023-01-05 23:39:21,934 - mmseg - INFO - Iter [4450/160000] lr: 5.833e-05, eta: 10:54:26, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.4583, decode.acc_seg: 84.2100, loss: 0.4583 2023-01-05 23:39:36,453 - mmseg - INFO - Iter [4500/160000] lr: 5.831e-05, eta: 10:55:19, time: 0.291, data_time: 0.105, memory: 9544, decode.loss_ce: 0.4362, decode.acc_seg: 84.3716, loss: 0.4362 2023-01-05 23:39:48,865 - mmseg - INFO - Iter [4550/160000] lr: 5.829e-05, eta: 10:54:59, time: 0.248, data_time: 0.080, memory: 9544, decode.loss_ce: 0.5301, decode.acc_seg: 82.1224, loss: 0.5301 2023-01-05 23:40:01,303 - mmseg - INFO - Iter [4600/160000] lr: 5.828e-05, eta: 10:54:38, time: 0.248, data_time: 0.079, memory: 9544, decode.loss_ce: 0.4496, decode.acc_seg: 84.5485, loss: 0.4496 2023-01-05 23:40:13,599 - mmseg - INFO - Iter [4650/160000] lr: 5.826e-05, eta: 10:54:15, time: 0.246, data_time: 0.050, memory: 9544, decode.loss_ce: 0.4555, decode.acc_seg: 84.3566, loss: 0.4555 2023-01-05 23:40:25,910 - mmseg - INFO - Iter [4700/160000] lr: 5.824e-05, eta: 10:53:52, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.4111, decode.acc_seg: 85.7129, loss: 0.4111 2023-01-05 23:40:38,353 - mmseg - INFO - Iter [4750/160000] lr: 5.822e-05, eta: 10:53:33, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.4405, decode.acc_seg: 84.2718, loss: 0.4405 2023-01-05 23:40:50,712 - mmseg - INFO - Iter [4800/160000] lr: 5.820e-05, eta: 10:53:11, time: 0.247, data_time: 0.048, memory: 9544, decode.loss_ce: 0.4667, decode.acc_seg: 84.0094, loss: 0.4667 2023-01-05 23:41:05,056 - mmseg - INFO - Iter [4850/160000] lr: 5.818e-05, eta: 10:53:54, time: 0.287, data_time: 0.056, memory: 9544, decode.loss_ce: 0.4431, decode.acc_seg: 84.3933, loss: 0.4431 2023-01-05 23:41:17,279 - mmseg - INFO - Iter [4900/160000] lr: 5.816e-05, eta: 10:53:28, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.4180, decode.acc_seg: 85.6113, loss: 0.4180 2023-01-05 23:41:29,699 - mmseg - INFO - Iter [4950/160000] lr: 5.814e-05, eta: 10:53:08, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.4251, decode.acc_seg: 84.9964, loss: 0.4251 2023-01-05 23:41:41,937 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-05 23:41:41,938 - mmseg - INFO - Iter [5000/160000] lr: 5.813e-05, eta: 10:52:43, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.4619, decode.acc_seg: 84.0260, loss: 0.4619 2023-01-05 23:41:54,400 - mmseg - INFO - Iter [5050/160000] lr: 5.811e-05, eta: 10:52:25, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.4866, decode.acc_seg: 83.9135, loss: 0.4866 2023-01-05 23:42:06,619 - mmseg - INFO - Iter [5100/160000] lr: 5.809e-05, eta: 10:52:00, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.4604, decode.acc_seg: 84.2436, loss: 0.4604 2023-01-05 23:42:18,835 - mmseg - INFO - Iter [5150/160000] lr: 5.807e-05, eta: 10:51:35, time: 0.244, data_time: 0.028, memory: 9544, decode.loss_ce: 0.4436, decode.acc_seg: 84.3900, loss: 0.4436 2023-01-05 23:42:31,311 - mmseg - INFO - Iter [5200/160000] lr: 5.805e-05, eta: 10:51:18, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.4581, decode.acc_seg: 84.3814, loss: 0.4581 2023-01-05 23:42:45,899 - mmseg - INFO - Iter [5250/160000] lr: 5.803e-05, eta: 10:52:03, time: 0.292, data_time: 0.060, memory: 9544, decode.loss_ce: 0.4344, decode.acc_seg: 84.8358, loss: 0.4344 2023-01-05 23:42:58,395 - mmseg - INFO - Iter [5300/160000] lr: 5.801e-05, eta: 10:51:46, time: 0.250, data_time: 0.009, memory: 9544, decode.loss_ce: 0.4791, decode.acc_seg: 83.6671, loss: 0.4791 2023-01-05 23:43:10,589 - mmseg - INFO - Iter [5350/160000] lr: 5.799e-05, eta: 10:51:21, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.4247, decode.acc_seg: 85.2960, loss: 0.4247 2023-01-05 23:43:22,903 - mmseg - INFO - Iter [5400/160000] lr: 5.798e-05, eta: 10:50:59, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.4169, decode.acc_seg: 85.9710, loss: 0.4169 2023-01-05 23:43:35,356 - mmseg - INFO - Iter [5450/160000] lr: 5.796e-05, eta: 10:50:41, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.4219, decode.acc_seg: 85.3227, loss: 0.4219 2023-01-05 23:43:47,734 - mmseg - INFO - Iter [5500/160000] lr: 5.794e-05, eta: 10:50:22, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.4255, decode.acc_seg: 85.0654, loss: 0.4255 2023-01-05 23:44:00,220 - mmseg - INFO - Iter [5550/160000] lr: 5.792e-05, eta: 10:50:05, time: 0.250, data_time: 0.009, memory: 9544, decode.loss_ce: 0.4585, decode.acc_seg: 84.3180, loss: 0.4585 2023-01-05 23:44:14,609 - mmseg - INFO - Iter [5600/160000] lr: 5.790e-05, eta: 10:50:41, time: 0.288, data_time: 0.074, memory: 9544, decode.loss_ce: 0.4330, decode.acc_seg: 84.3743, loss: 0.4330 2023-01-05 23:44:26,941 - mmseg - INFO - Iter [5650/160000] lr: 5.788e-05, eta: 10:50:20, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.4151, decode.acc_seg: 85.5248, loss: 0.4151 2023-01-05 23:44:39,119 - mmseg - INFO - Iter [5700/160000] lr: 5.786e-05, eta: 10:49:55, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.4115, decode.acc_seg: 85.5566, loss: 0.4115 2023-01-05 23:44:51,678 - mmseg - INFO - Iter [5750/160000] lr: 5.784e-05, eta: 10:49:40, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.4174, decode.acc_seg: 85.4417, loss: 0.4174 2023-01-05 23:45:04,224 - mmseg - INFO - Iter [5800/160000] lr: 5.783e-05, eta: 10:49:25, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.4579, decode.acc_seg: 83.9372, loss: 0.4579 2023-01-05 23:45:16,644 - mmseg - INFO - Iter [5850/160000] lr: 5.781e-05, eta: 10:49:06, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.4217, decode.acc_seg: 85.4420, loss: 0.4217 2023-01-05 23:45:28,895 - mmseg - INFO - Iter [5900/160000] lr: 5.779e-05, eta: 10:48:44, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.3917, decode.acc_seg: 85.8473, loss: 0.3917 2023-01-05 23:45:41,311 - mmseg - INFO - Iter [5950/160000] lr: 5.777e-05, eta: 10:48:26, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3868, decode.acc_seg: 86.3950, loss: 0.3868 2023-01-05 23:45:55,980 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-05 23:45:55,981 - mmseg - INFO - Iter [6000/160000] lr: 5.775e-05, eta: 10:49:06, time: 0.293, data_time: 0.073, memory: 9544, decode.loss_ce: 0.4297, decode.acc_seg: 85.1946, loss: 0.4297 2023-01-05 23:46:08,261 - mmseg - INFO - Iter [6050/160000] lr: 5.773e-05, eta: 10:48:43, time: 0.245, data_time: 0.022, memory: 9544, decode.loss_ce: 0.4650, decode.acc_seg: 84.2651, loss: 0.4650 2023-01-05 23:46:20,773 - mmseg - INFO - Iter [6100/160000] lr: 5.771e-05, eta: 10:48:27, time: 0.250, data_time: 0.013, memory: 9544, decode.loss_ce: 0.4356, decode.acc_seg: 84.9284, loss: 0.4356 2023-01-05 23:46:33,040 - mmseg - INFO - Iter [6150/160000] lr: 5.769e-05, eta: 10:48:06, time: 0.246, data_time: 0.019, memory: 9544, decode.loss_ce: 0.4128, decode.acc_seg: 85.5900, loss: 0.4128 2023-01-05 23:46:45,166 - mmseg - INFO - Iter [6200/160000] lr: 5.768e-05, eta: 10:47:40, time: 0.243, data_time: 0.022, memory: 9544, decode.loss_ce: 0.3894, decode.acc_seg: 85.9809, loss: 0.3894 2023-01-05 23:46:57,461 - mmseg - INFO - Iter [6250/160000] lr: 5.766e-05, eta: 10:47:19, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3878, decode.acc_seg: 86.2157, loss: 0.3878 2023-01-05 23:47:09,862 - mmseg - INFO - Iter [6300/160000] lr: 5.764e-05, eta: 10:47:01, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.4326, decode.acc_seg: 85.3082, loss: 0.4326 2023-01-05 23:47:24,191 - mmseg - INFO - Iter [6350/160000] lr: 5.762e-05, eta: 10:47:30, time: 0.286, data_time: 0.062, memory: 9544, decode.loss_ce: 0.3959, decode.acc_seg: 85.9500, loss: 0.3959 2023-01-05 23:47:36,652 - mmseg - INFO - Iter [6400/160000] lr: 5.760e-05, eta: 10:47:13, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3574, decode.acc_seg: 87.0935, loss: 0.3574 2023-01-05 23:47:48,714 - mmseg - INFO - Iter [6450/160000] lr: 5.758e-05, eta: 10:46:46, time: 0.241, data_time: 0.039, memory: 9544, decode.loss_ce: 0.4039, decode.acc_seg: 85.9222, loss: 0.4039 2023-01-05 23:48:01,095 - mmseg - INFO - Iter [6500/160000] lr: 5.756e-05, eta: 10:46:28, time: 0.248, data_time: 0.044, memory: 9544, decode.loss_ce: 0.4021, decode.acc_seg: 85.8221, loss: 0.4021 2023-01-05 23:48:13,334 - mmseg - INFO - Iter [6550/160000] lr: 5.754e-05, eta: 10:46:06, time: 0.245, data_time: 0.065, memory: 9544, decode.loss_ce: 0.3926, decode.acc_seg: 86.4637, loss: 0.3926 2023-01-05 23:48:25,702 - mmseg - INFO - Iter [6600/160000] lr: 5.753e-05, eta: 10:45:47, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3633, decode.acc_seg: 86.8828, loss: 0.3633 2023-01-05 23:48:38,291 - mmseg - INFO - Iter [6650/160000] lr: 5.751e-05, eta: 10:45:33, time: 0.252, data_time: 0.010, memory: 9544, decode.loss_ce: 0.4026, decode.acc_seg: 86.0082, loss: 0.4026 2023-01-05 23:48:52,931 - mmseg - INFO - Iter [6700/160000] lr: 5.749e-05, eta: 10:46:06, time: 0.293, data_time: 0.054, memory: 9544, decode.loss_ce: 0.4040, decode.acc_seg: 85.6750, loss: 0.4040 2023-01-05 23:49:05,474 - mmseg - INFO - Iter [6750/160000] lr: 5.747e-05, eta: 10:45:51, time: 0.251, data_time: 0.009, memory: 9544, decode.loss_ce: 0.3980, decode.acc_seg: 85.7314, loss: 0.3980 2023-01-05 23:49:17,754 - mmseg - INFO - Iter [6800/160000] lr: 5.745e-05, eta: 10:45:31, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.4029, decode.acc_seg: 85.9408, loss: 0.4029 2023-01-05 23:49:29,991 - mmseg - INFO - Iter [6850/160000] lr: 5.743e-05, eta: 10:45:09, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.3767, decode.acc_seg: 86.4231, loss: 0.3767 2023-01-05 23:49:42,184 - mmseg - INFO - Iter [6900/160000] lr: 5.741e-05, eta: 10:44:47, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.4043, decode.acc_seg: 85.9995, loss: 0.4043 2023-01-05 23:49:54,688 - mmseg - INFO - Iter [6950/160000] lr: 5.739e-05, eta: 10:44:31, time: 0.250, data_time: 0.009, memory: 9544, decode.loss_ce: 0.3805, decode.acc_seg: 86.3564, loss: 0.3805 2023-01-05 23:50:07,134 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-05 23:50:07,134 - mmseg - INFO - Iter [7000/160000] lr: 5.738e-05, eta: 10:44:14, time: 0.249, data_time: 0.011, memory: 9544, decode.loss_ce: 0.3730, decode.acc_seg: 86.7158, loss: 0.3730 2023-01-05 23:50:19,806 - mmseg - INFO - Iter [7050/160000] lr: 5.736e-05, eta: 10:44:02, time: 0.253, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3774, decode.acc_seg: 86.6480, loss: 0.3774 2023-01-05 23:50:34,417 - mmseg - INFO - Iter [7100/160000] lr: 5.734e-05, eta: 10:44:32, time: 0.292, data_time: 0.057, memory: 9544, decode.loss_ce: 0.3819, decode.acc_seg: 86.7267, loss: 0.3819 2023-01-05 23:50:46,912 - mmseg - INFO - Iter [7150/160000] lr: 5.732e-05, eta: 10:44:16, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.4045, decode.acc_seg: 85.6837, loss: 0.4045 2023-01-05 23:50:59,213 - mmseg - INFO - Iter [7200/160000] lr: 5.730e-05, eta: 10:43:57, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3765, decode.acc_seg: 86.6123, loss: 0.3765 2023-01-05 23:51:11,533 - mmseg - INFO - Iter [7250/160000] lr: 5.728e-05, eta: 10:43:37, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.4137, decode.acc_seg: 85.8283, loss: 0.4137 2023-01-05 23:51:23,831 - mmseg - INFO - Iter [7300/160000] lr: 5.726e-05, eta: 10:43:18, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3667, decode.acc_seg: 87.1500, loss: 0.3667 2023-01-05 23:51:36,158 - mmseg - INFO - Iter [7350/160000] lr: 5.724e-05, eta: 10:42:58, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3795, decode.acc_seg: 86.8520, loss: 0.3795 2023-01-05 23:51:48,235 - mmseg - INFO - Iter [7400/160000] lr: 5.723e-05, eta: 10:42:34, time: 0.241, data_time: 0.009, memory: 9544, decode.loss_ce: 0.3720, decode.acc_seg: 86.8608, loss: 0.3720 2023-01-05 23:52:02,679 - mmseg - INFO - Iter [7450/160000] lr: 5.721e-05, eta: 10:42:58, time: 0.289, data_time: 0.056, memory: 9544, decode.loss_ce: 0.4006, decode.acc_seg: 86.1838, loss: 0.4006 2023-01-05 23:52:15,035 - mmseg - INFO - Iter [7500/160000] lr: 5.719e-05, eta: 10:42:40, time: 0.247, data_time: 0.011, memory: 9544, decode.loss_ce: 0.3769, decode.acc_seg: 86.8795, loss: 0.3769 2023-01-05 23:52:27,196 - mmseg - INFO - Iter [7550/160000] lr: 5.717e-05, eta: 10:42:17, time: 0.243, data_time: 0.014, memory: 9544, decode.loss_ce: 0.3656, decode.acc_seg: 86.9040, loss: 0.3656 2023-01-05 23:52:39,652 - mmseg - INFO - Iter [7600/160000] lr: 5.715e-05, eta: 10:42:01, time: 0.249, data_time: 0.085, memory: 9544, decode.loss_ce: 0.3857, decode.acc_seg: 86.2860, loss: 0.3857 2023-01-05 23:52:51,787 - mmseg - INFO - Iter [7650/160000] lr: 5.713e-05, eta: 10:41:39, time: 0.243, data_time: 0.069, memory: 9544, decode.loss_ce: 0.3849, decode.acc_seg: 86.9107, loss: 0.3849 2023-01-05 23:53:04,223 - mmseg - INFO - Iter [7700/160000] lr: 5.711e-05, eta: 10:41:22, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3990, decode.acc_seg: 85.7782, loss: 0.3990 2023-01-05 23:53:16,616 - mmseg - INFO - Iter [7750/160000] lr: 5.709e-05, eta: 10:41:05, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3670, decode.acc_seg: 86.7939, loss: 0.3670 2023-01-05 23:53:28,802 - mmseg - INFO - Iter [7800/160000] lr: 5.708e-05, eta: 10:40:43, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.4124, decode.acc_seg: 85.6273, loss: 0.4124 2023-01-05 23:53:43,287 - mmseg - INFO - Iter [7850/160000] lr: 5.706e-05, eta: 10:41:07, time: 0.290, data_time: 0.067, memory: 9544, decode.loss_ce: 0.3556, decode.acc_seg: 87.1750, loss: 0.3556 2023-01-05 23:53:55,848 - mmseg - INFO - Iter [7900/160000] lr: 5.704e-05, eta: 10:40:52, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3926, decode.acc_seg: 86.7336, loss: 0.3926 2023-01-05 23:54:08,088 - mmseg - INFO - Iter [7950/160000] lr: 5.702e-05, eta: 10:40:32, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.3643, decode.acc_seg: 87.4357, loss: 0.3643 2023-01-05 23:54:20,355 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-05 23:54:20,355 - mmseg - INFO - Iter [8000/160000] lr: 5.700e-05, eta: 10:40:12, time: 0.245, data_time: 0.011, memory: 9544, decode.loss_ce: 0.3752, decode.acc_seg: 86.8465, loss: 0.3752 2023-01-05 23:54:32,417 - mmseg - INFO - Iter [8050/160000] lr: 5.698e-05, eta: 10:39:49, time: 0.241, data_time: 0.022, memory: 9544, decode.loss_ce: 0.4050, decode.acc_seg: 86.6017, loss: 0.4050 2023-01-05 23:54:44,732 - mmseg - INFO - Iter [8100/160000] lr: 5.696e-05, eta: 10:39:30, time: 0.246, data_time: 0.011, memory: 9544, decode.loss_ce: 0.3647, decode.acc_seg: 87.1864, loss: 0.3647 2023-01-05 23:54:57,129 - mmseg - INFO - Iter [8150/160000] lr: 5.694e-05, eta: 10:39:13, time: 0.248, data_time: 0.044, memory: 9544, decode.loss_ce: 0.3915, decode.acc_seg: 85.9250, loss: 0.3915 2023-01-05 23:55:11,824 - mmseg - INFO - Iter [8200/160000] lr: 5.693e-05, eta: 10:39:39, time: 0.294, data_time: 0.060, memory: 9544, decode.loss_ce: 0.3713, decode.acc_seg: 86.4863, loss: 0.3713 2023-01-05 23:55:24,032 - mmseg - INFO - Iter [8250/160000] lr: 5.691e-05, eta: 10:39:18, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.3217, decode.acc_seg: 88.5287, loss: 0.3217 2023-01-05 23:55:36,394 - mmseg - INFO - Iter [8300/160000] lr: 5.689e-05, eta: 10:39:01, time: 0.247, data_time: 0.018, memory: 9544, decode.loss_ce: 0.3820, decode.acc_seg: 86.2615, loss: 0.3820 2023-01-05 23:55:48,845 - mmseg - INFO - Iter [8350/160000] lr: 5.687e-05, eta: 10:38:44, time: 0.249, data_time: 0.013, memory: 9544, decode.loss_ce: 0.3397, decode.acc_seg: 87.8806, loss: 0.3397 2023-01-05 23:56:01,000 - mmseg - INFO - Iter [8400/160000] lr: 5.685e-05, eta: 10:38:23, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3949, decode.acc_seg: 85.9042, loss: 0.3949 2023-01-05 23:56:13,519 - mmseg - INFO - Iter [8450/160000] lr: 5.683e-05, eta: 10:38:08, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3825, decode.acc_seg: 86.3544, loss: 0.3825 2023-01-05 23:56:25,832 - mmseg - INFO - Iter [8500/160000] lr: 5.681e-05, eta: 10:37:50, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3684, decode.acc_seg: 87.0970, loss: 0.3684 2023-01-05 23:56:38,104 - mmseg - INFO - Iter [8550/160000] lr: 5.679e-05, eta: 10:37:31, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3707, decode.acc_seg: 87.1396, loss: 0.3707 2023-01-05 23:56:52,871 - mmseg - INFO - Iter [8600/160000] lr: 5.678e-05, eta: 10:37:56, time: 0.295, data_time: 0.077, memory: 9544, decode.loss_ce: 0.3747, decode.acc_seg: 86.7678, loss: 0.3747 2023-01-05 23:57:05,288 - mmseg - INFO - Iter [8650/160000] lr: 5.676e-05, eta: 10:37:40, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3659, decode.acc_seg: 87.3744, loss: 0.3659 2023-01-05 23:57:17,629 - mmseg - INFO - Iter [8700/160000] lr: 5.674e-05, eta: 10:37:22, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3629, decode.acc_seg: 86.9675, loss: 0.3629 2023-01-05 23:57:29,905 - mmseg - INFO - Iter [8750/160000] lr: 5.672e-05, eta: 10:37:03, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3550, decode.acc_seg: 87.2189, loss: 0.3550 2023-01-05 23:57:42,223 - mmseg - INFO - Iter [8800/160000] lr: 5.670e-05, eta: 10:36:45, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3895, decode.acc_seg: 86.7589, loss: 0.3895 2023-01-05 23:57:54,332 - mmseg - INFO - Iter [8850/160000] lr: 5.668e-05, eta: 10:36:23, time: 0.242, data_time: 0.012, memory: 9544, decode.loss_ce: 0.3686, decode.acc_seg: 87.0698, loss: 0.3686 2023-01-05 23:58:06,802 - mmseg - INFO - Iter [8900/160000] lr: 5.666e-05, eta: 10:36:08, time: 0.250, data_time: 0.025, memory: 9544, decode.loss_ce: 0.3298, decode.acc_seg: 88.2645, loss: 0.3298 2023-01-05 23:58:21,411 - mmseg - INFO - Iter [8950/160000] lr: 5.664e-05, eta: 10:36:28, time: 0.292, data_time: 0.056, memory: 9544, decode.loss_ce: 0.3585, decode.acc_seg: 87.2136, loss: 0.3585 2023-01-05 23:58:33,711 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-05 23:58:33,712 - mmseg - INFO - Iter [9000/160000] lr: 5.663e-05, eta: 10:36:10, time: 0.246, data_time: 0.011, memory: 9544, decode.loss_ce: 0.3429, decode.acc_seg: 87.9963, loss: 0.3429 2023-01-05 23:58:45,970 - mmseg - INFO - Iter [9050/160000] lr: 5.661e-05, eta: 10:35:51, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3259, decode.acc_seg: 88.3716, loss: 0.3259 2023-01-05 23:58:58,347 - mmseg - INFO - Iter [9100/160000] lr: 5.659e-05, eta: 10:35:34, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3305, decode.acc_seg: 88.0539, loss: 0.3305 2023-01-05 23:59:10,547 - mmseg - INFO - Iter [9150/160000] lr: 5.657e-05, eta: 10:35:14, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3415, decode.acc_seg: 87.7070, loss: 0.3415 2023-01-05 23:59:22,685 - mmseg - INFO - Iter [9200/160000] lr: 5.655e-05, eta: 10:34:54, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3664, decode.acc_seg: 87.1315, loss: 0.3664 2023-01-05 23:59:35,134 - mmseg - INFO - Iter [9250/160000] lr: 5.653e-05, eta: 10:34:38, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3700, decode.acc_seg: 86.9888, loss: 0.3700 2023-01-05 23:59:47,490 - mmseg - INFO - Iter [9300/160000] lr: 5.651e-05, eta: 10:34:21, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3686, decode.acc_seg: 87.1262, loss: 0.3686 2023-01-06 00:00:02,290 - mmseg - INFO - Iter [9350/160000] lr: 5.649e-05, eta: 10:34:43, time: 0.296, data_time: 0.059, memory: 9544, decode.loss_ce: 0.3614, decode.acc_seg: 86.9304, loss: 0.3614 2023-01-06 00:00:14,439 - mmseg - INFO - Iter [9400/160000] lr: 5.648e-05, eta: 10:34:23, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.3643, decode.acc_seg: 87.6552, loss: 0.3643 2023-01-06 00:00:26,751 - mmseg - INFO - Iter [9450/160000] lr: 5.646e-05, eta: 10:34:05, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3597, decode.acc_seg: 87.5669, loss: 0.3597 2023-01-06 00:00:39,053 - mmseg - INFO - Iter [9500/160000] lr: 5.644e-05, eta: 10:33:47, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3365, decode.acc_seg: 88.1716, loss: 0.3365 2023-01-06 00:00:51,219 - mmseg - INFO - Iter [9550/160000] lr: 5.642e-05, eta: 10:33:27, time: 0.243, data_time: 0.016, memory: 9544, decode.loss_ce: 0.3582, decode.acc_seg: 87.2991, loss: 0.3582 2023-01-06 00:01:03,667 - mmseg - INFO - Iter [9600/160000] lr: 5.640e-05, eta: 10:33:12, time: 0.249, data_time: 0.009, memory: 9544, decode.loss_ce: 0.3911, decode.acc_seg: 86.8535, loss: 0.3911 2023-01-06 00:01:15,841 - mmseg - INFO - Iter [9650/160000] lr: 5.638e-05, eta: 10:32:52, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3544, decode.acc_seg: 87.8823, loss: 0.3544 2023-01-06 00:01:30,421 - mmseg - INFO - Iter [9700/160000] lr: 5.636e-05, eta: 10:33:09, time: 0.291, data_time: 0.095, memory: 9544, decode.loss_ce: 0.3447, decode.acc_seg: 87.5509, loss: 0.3447 2023-01-06 00:01:42,901 - mmseg - INFO - Iter [9750/160000] lr: 5.634e-05, eta: 10:32:54, time: 0.250, data_time: 0.084, memory: 9544, decode.loss_ce: 0.3287, decode.acc_seg: 87.7641, loss: 0.3287 2023-01-06 00:01:55,191 - mmseg - INFO - Iter [9800/160000] lr: 5.633e-05, eta: 10:32:36, time: 0.246, data_time: 0.059, memory: 9544, decode.loss_ce: 0.3302, decode.acc_seg: 88.0428, loss: 0.3302 2023-01-06 00:02:07,670 - mmseg - INFO - Iter [9850/160000] lr: 5.631e-05, eta: 10:32:21, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3541, decode.acc_seg: 87.7234, loss: 0.3541 2023-01-06 00:02:19,951 - mmseg - INFO - Iter [9900/160000] lr: 5.629e-05, eta: 10:32:03, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3180, decode.acc_seg: 88.4933, loss: 0.3180 2023-01-06 00:02:32,447 - mmseg - INFO - Iter [9950/160000] lr: 5.627e-05, eta: 10:31:49, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3739, decode.acc_seg: 87.2176, loss: 0.3739 2023-01-06 00:02:44,866 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 00:02:44,867 - mmseg - INFO - Iter [10000/160000] lr: 5.625e-05, eta: 10:31:33, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3764, decode.acc_seg: 86.8245, loss: 0.3764 2023-01-06 00:02:59,323 - mmseg - INFO - Iter [10050/160000] lr: 5.623e-05, eta: 10:31:48, time: 0.289, data_time: 0.108, memory: 9544, decode.loss_ce: 0.3846, decode.acc_seg: 86.5185, loss: 0.3846 2023-01-06 00:03:11,565 - mmseg - INFO - Iter [10100/160000] lr: 5.621e-05, eta: 10:31:29, time: 0.245, data_time: 0.068, memory: 9544, decode.loss_ce: 0.3346, decode.acc_seg: 88.4567, loss: 0.3346 2023-01-06 00:03:23,779 - mmseg - INFO - Iter [10150/160000] lr: 5.619e-05, eta: 10:31:10, time: 0.244, data_time: 0.015, memory: 9544, decode.loss_ce: 0.3322, decode.acc_seg: 87.9064, loss: 0.3322 2023-01-06 00:03:35,951 - mmseg - INFO - Iter [10200/160000] lr: 5.618e-05, eta: 10:30:51, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3396, decode.acc_seg: 87.8544, loss: 0.3396 2023-01-06 00:03:48,113 - mmseg - INFO - Iter [10250/160000] lr: 5.616e-05, eta: 10:30:31, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3602, decode.acc_seg: 86.9836, loss: 0.3602 2023-01-06 00:04:00,541 - mmseg - INFO - Iter [10300/160000] lr: 5.614e-05, eta: 10:30:15, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3090, decode.acc_seg: 88.7945, loss: 0.3090 2023-01-06 00:04:12,710 - mmseg - INFO - Iter [10350/160000] lr: 5.612e-05, eta: 10:29:56, time: 0.244, data_time: 0.018, memory: 9544, decode.loss_ce: 0.3106, decode.acc_seg: 88.6753, loss: 0.3106 2023-01-06 00:04:24,931 - mmseg - INFO - Iter [10400/160000] lr: 5.610e-05, eta: 10:29:38, time: 0.244, data_time: 0.017, memory: 9544, decode.loss_ce: 0.3482, decode.acc_seg: 87.5231, loss: 0.3482 2023-01-06 00:04:39,694 - mmseg - INFO - Iter [10450/160000] lr: 5.608e-05, eta: 10:29:55, time: 0.295, data_time: 0.061, memory: 9544, decode.loss_ce: 0.3635, decode.acc_seg: 87.2185, loss: 0.3635 2023-01-06 00:04:51,815 - mmseg - INFO - Iter [10500/160000] lr: 5.606e-05, eta: 10:29:36, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3571, decode.acc_seg: 87.0972, loss: 0.3571 2023-01-06 00:05:04,125 - mmseg - INFO - Iter [10550/160000] lr: 5.604e-05, eta: 10:29:18, time: 0.246, data_time: 0.033, memory: 9544, decode.loss_ce: 0.3256, decode.acc_seg: 88.5597, loss: 0.3256 2023-01-06 00:05:16,528 - mmseg - INFO - Iter [10600/160000] lr: 5.603e-05, eta: 10:29:02, time: 0.248, data_time: 0.012, memory: 9544, decode.loss_ce: 0.3595, decode.acc_seg: 87.6736, loss: 0.3595 2023-01-06 00:05:28,668 - mmseg - INFO - Iter [10650/160000] lr: 5.601e-05, eta: 10:28:43, time: 0.243, data_time: 0.021, memory: 9544, decode.loss_ce: 0.3056, decode.acc_seg: 88.6647, loss: 0.3056 2023-01-06 00:05:40,893 - mmseg - INFO - Iter [10700/160000] lr: 5.599e-05, eta: 10:28:25, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.3554, decode.acc_seg: 87.5092, loss: 0.3554 2023-01-06 00:05:53,249 - mmseg - INFO - Iter [10750/160000] lr: 5.597e-05, eta: 10:28:08, time: 0.247, data_time: 0.012, memory: 9544, decode.loss_ce: 0.3270, decode.acc_seg: 88.1689, loss: 0.3270 2023-01-06 00:06:07,529 - mmseg - INFO - Iter [10800/160000] lr: 5.595e-05, eta: 10:28:18, time: 0.285, data_time: 0.063, memory: 9544, decode.loss_ce: 0.3373, decode.acc_seg: 87.9771, loss: 0.3373 2023-01-06 00:06:19,996 - mmseg - INFO - Iter [10850/160000] lr: 5.593e-05, eta: 10:28:04, time: 0.250, data_time: 0.012, memory: 9544, decode.loss_ce: 0.3162, decode.acc_seg: 88.7032, loss: 0.3162 2023-01-06 00:06:32,172 - mmseg - INFO - Iter [10900/160000] lr: 5.591e-05, eta: 10:27:45, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3116, decode.acc_seg: 88.9351, loss: 0.3116 2023-01-06 00:06:44,425 - mmseg - INFO - Iter [10950/160000] lr: 5.589e-05, eta: 10:27:27, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.3074, decode.acc_seg: 88.6844, loss: 0.3074 2023-01-06 00:06:56,809 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 00:06:56,810 - mmseg - INFO - Iter [11000/160000] lr: 5.588e-05, eta: 10:27:11, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3284, decode.acc_seg: 88.3220, loss: 0.3284 2023-01-06 00:07:09,289 - mmseg - INFO - Iter [11050/160000] lr: 5.586e-05, eta: 10:26:56, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3542, decode.acc_seg: 87.9769, loss: 0.3542 2023-01-06 00:07:21,569 - mmseg - INFO - Iter [11100/160000] lr: 5.584e-05, eta: 10:26:39, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3158, decode.acc_seg: 88.5472, loss: 0.3158 2023-01-06 00:07:33,846 - mmseg - INFO - Iter [11150/160000] lr: 5.582e-05, eta: 10:26:22, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3769, decode.acc_seg: 86.9627, loss: 0.3769 2023-01-06 00:07:48,538 - mmseg - INFO - Iter [11200/160000] lr: 5.580e-05, eta: 10:26:37, time: 0.294, data_time: 0.064, memory: 9544, decode.loss_ce: 0.3423, decode.acc_seg: 87.9402, loss: 0.3423 2023-01-06 00:08:00,744 - mmseg - INFO - Iter [11250/160000] lr: 5.578e-05, eta: 10:26:18, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.3221, decode.acc_seg: 88.1761, loss: 0.3221 2023-01-06 00:08:13,051 - mmseg - INFO - Iter [11300/160000] lr: 5.576e-05, eta: 10:26:01, time: 0.246, data_time: 0.028, memory: 9544, decode.loss_ce: 0.3307, decode.acc_seg: 88.1404, loss: 0.3307 2023-01-06 00:08:25,244 - mmseg - INFO - Iter [11350/160000] lr: 5.574e-05, eta: 10:25:43, time: 0.244, data_time: 0.029, memory: 9544, decode.loss_ce: 0.3109, decode.acc_seg: 88.9505, loss: 0.3109 2023-01-06 00:08:37,469 - mmseg - INFO - Iter [11400/160000] lr: 5.573e-05, eta: 10:25:25, time: 0.244, data_time: 0.013, memory: 9544, decode.loss_ce: 0.3342, decode.acc_seg: 88.4151, loss: 0.3342 2023-01-06 00:08:49,688 - mmseg - INFO - Iter [11450/160000] lr: 5.571e-05, eta: 10:25:07, time: 0.244, data_time: 0.014, memory: 9544, decode.loss_ce: 0.3406, decode.acc_seg: 87.8306, loss: 0.3406 2023-01-06 00:09:02,045 - mmseg - INFO - Iter [11500/160000] lr: 5.569e-05, eta: 10:24:51, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3129, decode.acc_seg: 88.8823, loss: 0.3129 2023-01-06 00:09:16,760 - mmseg - INFO - Iter [11550/160000] lr: 5.567e-05, eta: 10:25:05, time: 0.294, data_time: 0.062, memory: 9544, decode.loss_ce: 0.3351, decode.acc_seg: 87.7855, loss: 0.3351 2023-01-06 00:09:29,119 - mmseg - INFO - Iter [11600/160000] lr: 5.565e-05, eta: 10:24:49, time: 0.248, data_time: 0.019, memory: 9544, decode.loss_ce: 0.3439, decode.acc_seg: 87.9727, loss: 0.3439 2023-01-06 00:09:41,558 - mmseg - INFO - Iter [11650/160000] lr: 5.563e-05, eta: 10:24:34, time: 0.249, data_time: 0.023, memory: 9544, decode.loss_ce: 0.3367, decode.acc_seg: 87.9078, loss: 0.3367 2023-01-06 00:09:53,828 - mmseg - INFO - Iter [11700/160000] lr: 5.561e-05, eta: 10:24:17, time: 0.245, data_time: 0.034, memory: 9544, decode.loss_ce: 0.3209, decode.acc_seg: 88.3649, loss: 0.3209 2023-01-06 00:10:06,229 - mmseg - INFO - Iter [11750/160000] lr: 5.559e-05, eta: 10:24:01, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3414, decode.acc_seg: 87.8864, loss: 0.3414 2023-01-06 00:10:18,541 - mmseg - INFO - Iter [11800/160000] lr: 5.558e-05, eta: 10:23:45, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3038, decode.acc_seg: 89.1348, loss: 0.3038 2023-01-06 00:10:30,821 - mmseg - INFO - Iter [11850/160000] lr: 5.556e-05, eta: 10:23:28, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3436, decode.acc_seg: 87.7727, loss: 0.3436 2023-01-06 00:10:43,140 - mmseg - INFO - Iter [11900/160000] lr: 5.554e-05, eta: 10:23:11, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3458, decode.acc_seg: 87.6993, loss: 0.3458 2023-01-06 00:10:57,789 - mmseg - INFO - Iter [11950/160000] lr: 5.552e-05, eta: 10:23:24, time: 0.293, data_time: 0.067, memory: 9544, decode.loss_ce: 0.3283, decode.acc_seg: 87.9739, loss: 0.3283 2023-01-06 00:11:09,924 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 00:11:09,925 - mmseg - INFO - Iter [12000/160000] lr: 5.550e-05, eta: 10:23:05, time: 0.243, data_time: 0.015, memory: 9544, decode.loss_ce: 0.3536, decode.acc_seg: 87.2759, loss: 0.3536 2023-01-06 00:11:22,296 - mmseg - INFO - Iter [12050/160000] lr: 5.548e-05, eta: 10:22:49, time: 0.247, data_time: 0.011, memory: 9544, decode.loss_ce: 0.3251, decode.acc_seg: 88.7785, loss: 0.3251 2023-01-06 00:11:34,379 - mmseg - INFO - Iter [12100/160000] lr: 5.546e-05, eta: 10:22:30, time: 0.242, data_time: 0.009, memory: 9544, decode.loss_ce: 0.3351, decode.acc_seg: 88.1684, loss: 0.3351 2023-01-06 00:11:46,688 - mmseg - INFO - Iter [12150/160000] lr: 5.544e-05, eta: 10:22:13, time: 0.246, data_time: 0.011, memory: 9544, decode.loss_ce: 0.3346, decode.acc_seg: 88.2907, loss: 0.3346 2023-01-06 00:11:58,918 - mmseg - INFO - Iter [12200/160000] lr: 5.543e-05, eta: 10:21:56, time: 0.245, data_time: 0.013, memory: 9544, decode.loss_ce: 0.3306, decode.acc_seg: 88.1248, loss: 0.3306 2023-01-06 00:12:11,291 - mmseg - INFO - Iter [12250/160000] lr: 5.541e-05, eta: 10:21:40, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3189, decode.acc_seg: 88.6305, loss: 0.3189 2023-01-06 00:12:25,771 - mmseg - INFO - Iter [12300/160000] lr: 5.539e-05, eta: 10:21:50, time: 0.290, data_time: 0.055, memory: 9544, decode.loss_ce: 0.3045, decode.acc_seg: 89.0085, loss: 0.3045 2023-01-06 00:12:38,150 - mmseg - INFO - Iter [12350/160000] lr: 5.537e-05, eta: 10:21:34, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2928, decode.acc_seg: 89.1005, loss: 0.2928 2023-01-06 00:12:50,323 - mmseg - INFO - Iter [12400/160000] lr: 5.535e-05, eta: 10:21:16, time: 0.243, data_time: 0.012, memory: 9544, decode.loss_ce: 0.3273, decode.acc_seg: 88.1865, loss: 0.3273 2023-01-06 00:13:02,662 - mmseg - INFO - Iter [12450/160000] lr: 5.533e-05, eta: 10:21:00, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.3369, decode.acc_seg: 87.7068, loss: 0.3369 2023-01-06 00:13:15,048 - mmseg - INFO - Iter [12500/160000] lr: 5.531e-05, eta: 10:20:45, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3289, decode.acc_seg: 88.1837, loss: 0.3289 2023-01-06 00:13:27,171 - mmseg - INFO - Iter [12550/160000] lr: 5.529e-05, eta: 10:20:26, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3402, decode.acc_seg: 88.1105, loss: 0.3402 2023-01-06 00:13:39,389 - mmseg - INFO - Iter [12600/160000] lr: 5.528e-05, eta: 10:20:09, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.3223, decode.acc_seg: 88.3376, loss: 0.3223 2023-01-06 00:13:53,989 - mmseg - INFO - Iter [12650/160000] lr: 5.526e-05, eta: 10:20:19, time: 0.292, data_time: 0.056, memory: 9544, decode.loss_ce: 0.3350, decode.acc_seg: 88.1429, loss: 0.3350 2023-01-06 00:14:06,349 - mmseg - INFO - Iter [12700/160000] lr: 5.524e-05, eta: 10:20:04, time: 0.248, data_time: 0.013, memory: 9544, decode.loss_ce: 0.2940, decode.acc_seg: 89.5825, loss: 0.2940 2023-01-06 00:14:18,698 - mmseg - INFO - Iter [12750/160000] lr: 5.522e-05, eta: 10:19:48, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3234, decode.acc_seg: 88.5038, loss: 0.3234 2023-01-06 00:14:30,902 - mmseg - INFO - Iter [12800/160000] lr: 5.520e-05, eta: 10:19:30, time: 0.244, data_time: 0.012, memory: 9544, decode.loss_ce: 0.2928, decode.acc_seg: 89.3901, loss: 0.2928 2023-01-06 00:14:43,210 - mmseg - INFO - Iter [12850/160000] lr: 5.518e-05, eta: 10:19:14, time: 0.246, data_time: 0.015, memory: 9544, decode.loss_ce: 0.3201, decode.acc_seg: 88.4933, loss: 0.3201 2023-01-06 00:14:55,472 - mmseg - INFO - Iter [12900/160000] lr: 5.516e-05, eta: 10:18:57, time: 0.244, data_time: 0.015, memory: 9544, decode.loss_ce: 0.2895, decode.acc_seg: 89.4603, loss: 0.2895 2023-01-06 00:15:08,012 - mmseg - INFO - Iter [12950/160000] lr: 5.514e-05, eta: 10:18:44, time: 0.252, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3295, decode.acc_seg: 88.0803, loss: 0.3295 2023-01-06 00:15:20,372 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 00:15:20,373 - mmseg - INFO - Iter [13000/160000] lr: 5.513e-05, eta: 10:18:28, time: 0.247, data_time: 0.023, memory: 9544, decode.loss_ce: 0.3269, decode.acc_seg: 88.4124, loss: 0.3269 2023-01-06 00:15:34,818 - mmseg - INFO - Iter [13050/160000] lr: 5.511e-05, eta: 10:18:36, time: 0.289, data_time: 0.055, memory: 9544, decode.loss_ce: 0.3078, decode.acc_seg: 89.0041, loss: 0.3078 2023-01-06 00:15:46,837 - mmseg - INFO - Iter [13100/160000] lr: 5.509e-05, eta: 10:18:16, time: 0.240, data_time: 0.052, memory: 9544, decode.loss_ce: 0.3008, decode.acc_seg: 89.2200, loss: 0.3008 2023-01-06 00:15:59,190 - mmseg - INFO - Iter [13150/160000] lr: 5.507e-05, eta: 10:18:01, time: 0.247, data_time: 0.078, memory: 9544, decode.loss_ce: 0.3189, decode.acc_seg: 88.6524, loss: 0.3189 2023-01-06 00:16:11,807 - mmseg - INFO - Iter [13200/160000] lr: 5.505e-05, eta: 10:17:48, time: 0.253, data_time: 0.075, memory: 9544, decode.loss_ce: 0.3014, decode.acc_seg: 88.9604, loss: 0.3014 2023-01-06 00:16:23,800 - mmseg - INFO - Iter [13250/160000] lr: 5.503e-05, eta: 10:17:28, time: 0.240, data_time: 0.043, memory: 9544, decode.loss_ce: 0.2867, decode.acc_seg: 89.8794, loss: 0.2867 2023-01-06 00:16:36,464 - mmseg - INFO - Iter [13300/160000] lr: 5.501e-05, eta: 10:17:16, time: 0.253, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3282, decode.acc_seg: 88.1366, loss: 0.3282 2023-01-06 00:16:48,968 - mmseg - INFO - Iter [13350/160000] lr: 5.499e-05, eta: 10:17:02, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3486, decode.acc_seg: 87.4064, loss: 0.3486 2023-01-06 00:17:03,558 - mmseg - INFO - Iter [13400/160000] lr: 5.498e-05, eta: 10:17:11, time: 0.292, data_time: 0.056, memory: 9544, decode.loss_ce: 0.3311, decode.acc_seg: 88.1592, loss: 0.3311 2023-01-06 00:17:16,043 - mmseg - INFO - Iter [13450/160000] lr: 5.496e-05, eta: 10:16:57, time: 0.250, data_time: 0.020, memory: 9544, decode.loss_ce: 0.3174, decode.acc_seg: 88.9003, loss: 0.3174 2023-01-06 00:17:28,543 - mmseg - INFO - Iter [13500/160000] lr: 5.494e-05, eta: 10:16:43, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3187, decode.acc_seg: 88.7397, loss: 0.3187 2023-01-06 00:17:41,147 - mmseg - INFO - Iter [13550/160000] lr: 5.492e-05, eta: 10:16:30, time: 0.252, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2851, decode.acc_seg: 89.6671, loss: 0.2851 2023-01-06 00:17:53,639 - mmseg - INFO - Iter [13600/160000] lr: 5.490e-05, eta: 10:16:16, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3072, decode.acc_seg: 88.5861, loss: 0.3072 2023-01-06 00:18:06,019 - mmseg - INFO - Iter [13650/160000] lr: 5.488e-05, eta: 10:16:01, time: 0.248, data_time: 0.011, memory: 9544, decode.loss_ce: 0.2865, decode.acc_seg: 89.1777, loss: 0.2865 2023-01-06 00:18:18,392 - mmseg - INFO - Iter [13700/160000] lr: 5.486e-05, eta: 10:15:45, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3144, decode.acc_seg: 88.6991, loss: 0.3144 2023-01-06 00:18:30,493 - mmseg - INFO - Iter [13750/160000] lr: 5.484e-05, eta: 10:15:27, time: 0.242, data_time: 0.030, memory: 9544, decode.loss_ce: 0.2816, decode.acc_seg: 89.4385, loss: 0.2816 2023-01-06 00:18:44,953 - mmseg - INFO - Iter [13800/160000] lr: 5.483e-05, eta: 10:15:34, time: 0.289, data_time: 0.108, memory: 9544, decode.loss_ce: 0.3120, decode.acc_seg: 88.7822, loss: 0.3120 2023-01-06 00:18:57,342 - mmseg - INFO - Iter [13850/160000] lr: 5.481e-05, eta: 10:15:19, time: 0.248, data_time: 0.027, memory: 9544, decode.loss_ce: 0.3041, decode.acc_seg: 88.9507, loss: 0.3041 2023-01-06 00:19:09,625 - mmseg - INFO - Iter [13900/160000] lr: 5.479e-05, eta: 10:15:02, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.3301, decode.acc_seg: 88.8546, loss: 0.3301 2023-01-06 00:19:21,841 - mmseg - INFO - Iter [13950/160000] lr: 5.477e-05, eta: 10:14:45, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2923, decode.acc_seg: 89.4385, loss: 0.2923 2023-01-06 00:19:34,052 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 00:19:34,053 - mmseg - INFO - Iter [14000/160000] lr: 5.475e-05, eta: 10:14:28, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2830, decode.acc_seg: 89.6763, loss: 0.2830 2023-01-06 00:19:46,076 - mmseg - INFO - Iter [14050/160000] lr: 5.473e-05, eta: 10:14:09, time: 0.240, data_time: 0.013, memory: 9544, decode.loss_ce: 0.2964, decode.acc_seg: 89.0797, loss: 0.2964 2023-01-06 00:19:58,447 - mmseg - INFO - Iter [14100/160000] lr: 5.471e-05, eta: 10:13:54, time: 0.247, data_time: 0.011, memory: 9544, decode.loss_ce: 0.2946, decode.acc_seg: 89.2091, loss: 0.2946 2023-01-06 00:20:12,751 - mmseg - INFO - Iter [14150/160000] lr: 5.469e-05, eta: 10:13:59, time: 0.286, data_time: 0.071, memory: 9544, decode.loss_ce: 0.3087, decode.acc_seg: 88.7189, loss: 0.3087 2023-01-06 00:20:25,389 - mmseg - INFO - Iter [14200/160000] lr: 5.468e-05, eta: 10:13:46, time: 0.253, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3242, decode.acc_seg: 88.2606, loss: 0.3242 2023-01-06 00:20:37,619 - mmseg - INFO - Iter [14250/160000] lr: 5.466e-05, eta: 10:13:30, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3021, decode.acc_seg: 89.1643, loss: 0.3021 2023-01-06 00:20:49,976 - mmseg - INFO - Iter [14300/160000] lr: 5.464e-05, eta: 10:13:14, time: 0.247, data_time: 0.060, memory: 9544, decode.loss_ce: 0.3080, decode.acc_seg: 89.0666, loss: 0.3080 2023-01-06 00:21:02,453 - mmseg - INFO - Iter [14350/160000] lr: 5.462e-05, eta: 10:13:00, time: 0.250, data_time: 0.083, memory: 9544, decode.loss_ce: 0.3054, decode.acc_seg: 89.0436, loss: 0.3054 2023-01-06 00:21:14,709 - mmseg - INFO - Iter [14400/160000] lr: 5.460e-05, eta: 10:12:44, time: 0.245, data_time: 0.073, memory: 9544, decode.loss_ce: 0.2951, decode.acc_seg: 89.4397, loss: 0.2951 2023-01-06 00:21:27,188 - mmseg - INFO - Iter [14450/160000] lr: 5.458e-05, eta: 10:12:30, time: 0.250, data_time: 0.051, memory: 9544, decode.loss_ce: 0.3054, decode.acc_seg: 89.2355, loss: 0.3054 2023-01-06 00:21:39,444 - mmseg - INFO - Iter [14500/160000] lr: 5.456e-05, eta: 10:12:13, time: 0.245, data_time: 0.012, memory: 9544, decode.loss_ce: 0.3016, decode.acc_seg: 89.1753, loss: 0.3016 2023-01-06 00:21:53,984 - mmseg - INFO - Iter [14550/160000] lr: 5.454e-05, eta: 10:12:20, time: 0.291, data_time: 0.059, memory: 9544, decode.loss_ce: 0.3000, decode.acc_seg: 89.2882, loss: 0.3000 2023-01-06 00:22:06,181 - mmseg - INFO - Iter [14600/160000] lr: 5.453e-05, eta: 10:12:03, time: 0.244, data_time: 0.013, memory: 9544, decode.loss_ce: 0.3003, decode.acc_seg: 89.2222, loss: 0.3003 2023-01-06 00:22:18,563 - mmseg - INFO - Iter [14650/160000] lr: 5.451e-05, eta: 10:11:48, time: 0.248, data_time: 0.022, memory: 9544, decode.loss_ce: 0.2954, decode.acc_seg: 89.0480, loss: 0.2954 2023-01-06 00:22:31,174 - mmseg - INFO - Iter [14700/160000] lr: 5.449e-05, eta: 10:11:35, time: 0.252, data_time: 0.079, memory: 9544, decode.loss_ce: 0.2934, decode.acc_seg: 89.5091, loss: 0.2934 2023-01-06 00:22:43,656 - mmseg - INFO - Iter [14750/160000] lr: 5.447e-05, eta: 10:11:21, time: 0.250, data_time: 0.086, memory: 9544, decode.loss_ce: 0.3380, decode.acc_seg: 88.1859, loss: 0.3380 2023-01-06 00:22:55,833 - mmseg - INFO - Iter [14800/160000] lr: 5.445e-05, eta: 10:11:04, time: 0.244, data_time: 0.059, memory: 9544, decode.loss_ce: 0.3006, decode.acc_seg: 88.9511, loss: 0.3006 2023-01-06 00:23:08,123 - mmseg - INFO - Iter [14850/160000] lr: 5.443e-05, eta: 10:10:48, time: 0.246, data_time: 0.015, memory: 9544, decode.loss_ce: 0.3189, decode.acc_seg: 88.6944, loss: 0.3189 2023-01-06 00:23:22,563 - mmseg - INFO - Iter [14900/160000] lr: 5.441e-05, eta: 10:10:53, time: 0.289, data_time: 0.075, memory: 9544, decode.loss_ce: 0.2909, decode.acc_seg: 89.7167, loss: 0.2909 2023-01-06 00:23:34,844 - mmseg - INFO - Iter [14950/160000] lr: 5.439e-05, eta: 10:10:37, time: 0.246, data_time: 0.012, memory: 9544, decode.loss_ce: 0.2825, decode.acc_seg: 89.8499, loss: 0.2825 2023-01-06 00:23:47,266 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 00:23:47,267 - mmseg - INFO - Iter [15000/160000] lr: 5.438e-05, eta: 10:10:22, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2888, decode.acc_seg: 89.4573, loss: 0.2888 2023-01-06 00:23:59,521 - mmseg - INFO - Iter [15050/160000] lr: 5.436e-05, eta: 10:10:06, time: 0.245, data_time: 0.019, memory: 9544, decode.loss_ce: 0.3401, decode.acc_seg: 88.1197, loss: 0.3401 2023-01-06 00:24:11,825 - mmseg - INFO - Iter [15100/160000] lr: 5.434e-05, eta: 10:09:50, time: 0.246, data_time: 0.016, memory: 9544, decode.loss_ce: 0.3082, decode.acc_seg: 88.7820, loss: 0.3082 2023-01-06 00:24:24,159 - mmseg - INFO - Iter [15150/160000] lr: 5.432e-05, eta: 10:09:35, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2948, decode.acc_seg: 89.4390, loss: 0.2948 2023-01-06 00:24:36,673 - mmseg - INFO - Iter [15200/160000] lr: 5.430e-05, eta: 10:09:21, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2993, decode.acc_seg: 89.0676, loss: 0.2993 2023-01-06 00:24:48,818 - mmseg - INFO - Iter [15250/160000] lr: 5.428e-05, eta: 10:09:04, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3197, decode.acc_seg: 88.5393, loss: 0.3197 2023-01-06 00:25:03,279 - mmseg - INFO - Iter [15300/160000] lr: 5.426e-05, eta: 10:09:09, time: 0.289, data_time: 0.069, memory: 9544, decode.loss_ce: 0.3263, decode.acc_seg: 88.5265, loss: 0.3263 2023-01-06 00:25:15,545 - mmseg - INFO - Iter [15350/160000] lr: 5.424e-05, eta: 10:08:53, time: 0.245, data_time: 0.018, memory: 9544, decode.loss_ce: 0.3089, decode.acc_seg: 88.8128, loss: 0.3089 2023-01-06 00:25:27,904 - mmseg - INFO - Iter [15400/160000] lr: 5.423e-05, eta: 10:08:38, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3198, decode.acc_seg: 88.4475, loss: 0.3198 2023-01-06 00:25:40,147 - mmseg - INFO - Iter [15450/160000] lr: 5.421e-05, eta: 10:08:21, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3128, decode.acc_seg: 89.0075, loss: 0.3128 2023-01-06 00:25:52,347 - mmseg - INFO - Iter [15500/160000] lr: 5.419e-05, eta: 10:08:05, time: 0.244, data_time: 0.028, memory: 9544, decode.loss_ce: 0.3250, decode.acc_seg: 88.4088, loss: 0.3250 2023-01-06 00:26:04,778 - mmseg - INFO - Iter [15550/160000] lr: 5.417e-05, eta: 10:07:50, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2673, decode.acc_seg: 90.1343, loss: 0.2673 2023-01-06 00:26:17,222 - mmseg - INFO - Iter [15600/160000] lr: 5.415e-05, eta: 10:07:36, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2862, decode.acc_seg: 89.5916, loss: 0.2862 2023-01-06 00:26:31,667 - mmseg - INFO - Iter [15650/160000] lr: 5.413e-05, eta: 10:07:40, time: 0.289, data_time: 0.059, memory: 9544, decode.loss_ce: 0.2973, decode.acc_seg: 89.3293, loss: 0.2973 2023-01-06 00:26:43,972 - mmseg - INFO - Iter [15700/160000] lr: 5.411e-05, eta: 10:07:25, time: 0.246, data_time: 0.034, memory: 9544, decode.loss_ce: 0.2882, decode.acc_seg: 89.5946, loss: 0.2882 2023-01-06 00:26:56,152 - mmseg - INFO - Iter [15750/160000] lr: 5.409e-05, eta: 10:07:08, time: 0.244, data_time: 0.048, memory: 9544, decode.loss_ce: 0.2974, decode.acc_seg: 89.2327, loss: 0.2974 2023-01-06 00:27:08,536 - mmseg - INFO - Iter [15800/160000] lr: 5.408e-05, eta: 10:06:53, time: 0.248, data_time: 0.023, memory: 9544, decode.loss_ce: 0.2913, decode.acc_seg: 89.4985, loss: 0.2913 2023-01-06 00:27:20,915 - mmseg - INFO - Iter [15850/160000] lr: 5.406e-05, eta: 10:06:38, time: 0.247, data_time: 0.030, memory: 9544, decode.loss_ce: 0.3052, decode.acc_seg: 89.2068, loss: 0.3052 2023-01-06 00:27:32,989 - mmseg - INFO - Iter [15900/160000] lr: 5.404e-05, eta: 10:06:20, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2756, decode.acc_seg: 90.0638, loss: 0.2756 2023-01-06 00:27:45,473 - mmseg - INFO - Iter [15950/160000] lr: 5.402e-05, eta: 10:06:07, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3059, decode.acc_seg: 89.2832, loss: 0.3059 2023-01-06 00:28:00,004 - mmseg - INFO - Saving checkpoint at 16000 iterations 2023-01-06 00:28:01,058 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 00:28:01,058 - mmseg - INFO - Iter [16000/160000] lr: 5.400e-05, eta: 10:06:21, time: 0.312, data_time: 0.059, memory: 9544, decode.loss_ce: 0.3049, decode.acc_seg: 88.8850, loss: 0.3049 2023-01-06 00:28:22,944 - mmseg - INFO - per class results: 2023-01-06 00:28:22,947 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 94.66 | 97.59 | | sidewalk | 64.6 | 77.74 | | building | 82.99 | 93.9 | | wall | 17.9 | 19.28 | | fence | 14.22 | 16.27 | | pole | 31.79 | 35.3 | | traffic light | 31.45 | 39.21 | | traffic sign | 43.75 | 51.19 | | vegetation | 87.83 | 94.31 | | terrain | 47.0 | 59.57 | | sky | 89.76 | 96.95 | | person | 51.82 | 80.35 | | rider | 3.02 | 3.13 | | car | 83.18 | 92.0 | | truck | 0.01 | 0.01 | | bus | 5.0 | 5.21 | | train | 11.29 | 51.91 | | motorcycle | 0.03 | 0.03 | | bicycle | 50.32 | 71.47 | +---------------+-------+-------+ 2023-01-06 00:28:22,947 - mmseg - INFO - Summary: 2023-01-06 00:28:22,948 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 90.46 | 42.66 | 51.86 | +-------+-------+-------+ 2023-01-06 00:28:22,949 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 00:28:22,949 - mmseg - INFO - Iter(val) [63] aAcc: 0.9046, mIoU: 0.4266, mAcc: 0.5186, IoU.road: 0.9466, IoU.sidewalk: 0.6460, IoU.building: 0.8299, IoU.wall: 0.1790, IoU.fence: 0.1422, IoU.pole: 0.3179, IoU.traffic light: 0.3145, IoU.traffic sign: 0.4375, IoU.vegetation: 0.8783, IoU.terrain: 0.4700, IoU.sky: 0.8976, IoU.person: 0.5182, IoU.rider: 0.0302, IoU.car: 0.8318, IoU.truck: 0.0001, IoU.bus: 0.0500, IoU.train: 0.1129, IoU.motorcycle: 0.0003, IoU.bicycle: 0.5032, Acc.road: 0.9759, Acc.sidewalk: 0.7774, Acc.building: 0.9390, Acc.wall: 0.1928, Acc.fence: 0.1627, Acc.pole: 0.3530, Acc.traffic light: 0.3921, Acc.traffic sign: 0.5119, Acc.vegetation: 0.9431, Acc.terrain: 0.5957, Acc.sky: 0.9695, Acc.person: 0.8035, Acc.rider: 0.0313, Acc.car: 0.9200, Acc.truck: 0.0001, Acc.bus: 0.0521, Acc.train: 0.5191, Acc.motorcycle: 0.0003, Acc.bicycle: 0.7147 2023-01-06 00:28:35,174 - mmseg - INFO - Iter [16050/160000] lr: 5.398e-05, eta: 10:09:21, time: 0.682, data_time: 0.458, memory: 9544, decode.loss_ce: 0.2956, decode.acc_seg: 89.3663, loss: 0.2956 2023-01-06 00:28:47,393 - mmseg - INFO - Iter [16100/160000] lr: 5.396e-05, eta: 10:09:04, time: 0.245, data_time: 0.012, memory: 9544, decode.loss_ce: 0.2818, decode.acc_seg: 89.6221, loss: 0.2818 2023-01-06 00:28:59,723 - mmseg - INFO - Iter [16150/160000] lr: 5.394e-05, eta: 10:08:48, time: 0.247, data_time: 0.045, memory: 9544, decode.loss_ce: 0.2948, decode.acc_seg: 89.5044, loss: 0.2948 2023-01-06 00:29:12,002 - mmseg - INFO - Iter [16200/160000] lr: 5.393e-05, eta: 10:08:31, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.3134, decode.acc_seg: 88.8031, loss: 0.3134 2023-01-06 00:29:24,212 - mmseg - INFO - Iter [16250/160000] lr: 5.391e-05, eta: 10:08:14, time: 0.244, data_time: 0.030, memory: 9544, decode.loss_ce: 0.2857, decode.acc_seg: 89.5098, loss: 0.2857 2023-01-06 00:29:36,665 - mmseg - INFO - Iter [16300/160000] lr: 5.389e-05, eta: 10:07:59, time: 0.249, data_time: 0.027, memory: 9544, decode.loss_ce: 0.2911, decode.acc_seg: 89.4922, loss: 0.2911 2023-01-06 00:29:48,918 - mmseg - INFO - Iter [16350/160000] lr: 5.387e-05, eta: 10:07:43, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2947, decode.acc_seg: 89.4557, loss: 0.2947 2023-01-06 00:30:03,405 - mmseg - INFO - Iter [16400/160000] lr: 5.385e-05, eta: 10:07:46, time: 0.290, data_time: 0.056, memory: 9544, decode.loss_ce: 0.2825, decode.acc_seg: 89.7103, loss: 0.2825 2023-01-06 00:30:16,066 - mmseg - INFO - Iter [16450/160000] lr: 5.383e-05, eta: 10:07:33, time: 0.253, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2970, decode.acc_seg: 88.9879, loss: 0.2970 2023-01-06 00:30:28,414 - mmseg - INFO - Iter [16500/160000] lr: 5.381e-05, eta: 10:07:17, time: 0.247, data_time: 0.011, memory: 9544, decode.loss_ce: 0.2863, decode.acc_seg: 89.3583, loss: 0.2863 2023-01-06 00:30:40,766 - mmseg - INFO - Iter [16550/160000] lr: 5.379e-05, eta: 10:07:01, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2678, decode.acc_seg: 90.2411, loss: 0.2678 2023-01-06 00:30:53,059 - mmseg - INFO - Iter [16600/160000] lr: 5.378e-05, eta: 10:06:45, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2846, decode.acc_seg: 89.7138, loss: 0.2846 2023-01-06 00:31:05,315 - mmseg - INFO - Iter [16650/160000] lr: 5.376e-05, eta: 10:06:29, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2898, decode.acc_seg: 89.4537, loss: 0.2898 2023-01-06 00:31:17,609 - mmseg - INFO - Iter [16700/160000] lr: 5.374e-05, eta: 10:06:13, time: 0.246, data_time: 0.050, memory: 9544, decode.loss_ce: 0.3046, decode.acc_seg: 88.9735, loss: 0.3046 2023-01-06 00:31:32,236 - mmseg - INFO - Iter [16750/160000] lr: 5.372e-05, eta: 10:06:17, time: 0.292, data_time: 0.108, memory: 9544, decode.loss_ce: 0.2892, decode.acc_seg: 89.6601, loss: 0.2892 2023-01-06 00:31:44,676 - mmseg - INFO - Iter [16800/160000] lr: 5.370e-05, eta: 10:06:02, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3017, decode.acc_seg: 89.3201, loss: 0.3017 2023-01-06 00:31:56,940 - mmseg - INFO - Iter [16850/160000] lr: 5.368e-05, eta: 10:05:45, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2742, decode.acc_seg: 90.0189, loss: 0.2742 2023-01-06 00:32:09,245 - mmseg - INFO - Iter [16900/160000] lr: 5.366e-05, eta: 10:05:29, time: 0.246, data_time: 0.028, memory: 9544, decode.loss_ce: 0.2897, decode.acc_seg: 89.5623, loss: 0.2897 2023-01-06 00:32:21,398 - mmseg - INFO - Iter [16950/160000] lr: 5.364e-05, eta: 10:05:12, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2885, decode.acc_seg: 89.6416, loss: 0.2885 2023-01-06 00:32:33,673 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 00:32:33,674 - mmseg - INFO - Iter [17000/160000] lr: 5.363e-05, eta: 10:04:56, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2634, decode.acc_seg: 90.3534, loss: 0.2634 2023-01-06 00:32:46,083 - mmseg - INFO - Iter [17050/160000] lr: 5.361e-05, eta: 10:04:41, time: 0.248, data_time: 0.011, memory: 9544, decode.loss_ce: 0.3091, decode.acc_seg: 88.9903, loss: 0.3091 2023-01-06 00:32:58,471 - mmseg - INFO - Iter [17100/160000] lr: 5.359e-05, eta: 10:04:26, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2743, decode.acc_seg: 89.9073, loss: 0.2743 2023-01-06 00:33:13,102 - mmseg - INFO - Iter [17150/160000] lr: 5.357e-05, eta: 10:04:29, time: 0.292, data_time: 0.057, memory: 9544, decode.loss_ce: 0.2859, decode.acc_seg: 89.5983, loss: 0.2859 2023-01-06 00:33:25,482 - mmseg - INFO - Iter [17200/160000] lr: 5.355e-05, eta: 10:04:14, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3093, decode.acc_seg: 89.0766, loss: 0.3093 2023-01-06 00:33:37,806 - mmseg - INFO - Iter [17250/160000] lr: 5.353e-05, eta: 10:03:58, time: 0.246, data_time: 0.023, memory: 9544, decode.loss_ce: 0.2856, decode.acc_seg: 89.3812, loss: 0.2856 2023-01-06 00:33:50,308 - mmseg - INFO - Iter [17300/160000] lr: 5.351e-05, eta: 10:03:44, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2834, decode.acc_seg: 89.7366, loss: 0.2834 2023-01-06 00:34:02,583 - mmseg - INFO - Iter [17350/160000] lr: 5.349e-05, eta: 10:03:27, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2688, decode.acc_seg: 90.1796, loss: 0.2688 2023-01-06 00:34:15,169 - mmseg - INFO - Iter [17400/160000] lr: 5.348e-05, eta: 10:03:14, time: 0.252, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2892, decode.acc_seg: 89.4304, loss: 0.2892 2023-01-06 00:34:27,538 - mmseg - INFO - Iter [17450/160000] lr: 5.346e-05, eta: 10:02:59, time: 0.247, data_time: 0.013, memory: 9544, decode.loss_ce: 0.2926, decode.acc_seg: 89.3406, loss: 0.2926 2023-01-06 00:34:42,103 - mmseg - INFO - Iter [17500/160000] lr: 5.344e-05, eta: 10:03:01, time: 0.291, data_time: 0.057, memory: 9544, decode.loss_ce: 0.2828, decode.acc_seg: 89.4809, loss: 0.2828 2023-01-06 00:34:54,427 - mmseg - INFO - Iter [17550/160000] lr: 5.342e-05, eta: 10:02:45, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3018, decode.acc_seg: 89.3362, loss: 0.3018 2023-01-06 00:35:06,754 - mmseg - INFO - Iter [17600/160000] lr: 5.340e-05, eta: 10:02:30, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2729, decode.acc_seg: 90.1532, loss: 0.2729 2023-01-06 00:35:19,087 - mmseg - INFO - Iter [17650/160000] lr: 5.338e-05, eta: 10:02:14, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2701, decode.acc_seg: 90.1818, loss: 0.2701 2023-01-06 00:35:31,381 - mmseg - INFO - Iter [17700/160000] lr: 5.336e-05, eta: 10:01:58, time: 0.246, data_time: 0.013, memory: 9544, decode.loss_ce: 0.2654, decode.acc_seg: 89.9866, loss: 0.2654 2023-01-06 00:35:43,746 - mmseg - INFO - Iter [17750/160000] lr: 5.334e-05, eta: 10:01:43, time: 0.247, data_time: 0.019, memory: 9544, decode.loss_ce: 0.2985, decode.acc_seg: 89.3143, loss: 0.2985 2023-01-06 00:35:56,435 - mmseg - INFO - Iter [17800/160000] lr: 5.333e-05, eta: 10:01:30, time: 0.254, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2658, decode.acc_seg: 89.8462, loss: 0.2658 2023-01-06 00:36:08,660 - mmseg - INFO - Iter [17850/160000] lr: 5.331e-05, eta: 10:01:14, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3000, decode.acc_seg: 89.1670, loss: 0.3000 2023-01-06 00:36:23,446 - mmseg - INFO - Iter [17900/160000] lr: 5.329e-05, eta: 10:01:18, time: 0.296, data_time: 0.057, memory: 9544, decode.loss_ce: 0.2772, decode.acc_seg: 89.9266, loss: 0.2772 2023-01-06 00:36:35,750 - mmseg - INFO - Iter [17950/160000] lr: 5.327e-05, eta: 10:01:02, time: 0.246, data_time: 0.011, memory: 9544, decode.loss_ce: 0.3031, decode.acc_seg: 89.1985, loss: 0.3031 2023-01-06 00:36:47,993 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 00:36:47,994 - mmseg - INFO - Iter [18000/160000] lr: 5.325e-05, eta: 10:00:46, time: 0.245, data_time: 0.013, memory: 9544, decode.loss_ce: 0.2915, decode.acc_seg: 89.2950, loss: 0.2915 2023-01-06 00:37:00,377 - mmseg - INFO - Iter [18050/160000] lr: 5.323e-05, eta: 10:00:31, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3113, decode.acc_seg: 88.6979, loss: 0.3113 2023-01-06 00:37:12,539 - mmseg - INFO - Iter [18100/160000] lr: 5.321e-05, eta: 10:00:14, time: 0.243, data_time: 0.018, memory: 9544, decode.loss_ce: 0.2915, decode.acc_seg: 89.1509, loss: 0.2915 2023-01-06 00:37:24,848 - mmseg - INFO - Iter [18150/160000] lr: 5.319e-05, eta: 9:59:58, time: 0.246, data_time: 0.027, memory: 9544, decode.loss_ce: 0.2672, decode.acc_seg: 90.1239, loss: 0.2672 2023-01-06 00:37:37,333 - mmseg - INFO - Iter [18200/160000] lr: 5.318e-05, eta: 9:59:44, time: 0.250, data_time: 0.014, memory: 9544, decode.loss_ce: 0.2917, decode.acc_seg: 89.7804, loss: 0.2917 2023-01-06 00:37:51,785 - mmseg - INFO - Iter [18250/160000] lr: 5.316e-05, eta: 9:59:45, time: 0.289, data_time: 0.065, memory: 9544, decode.loss_ce: 0.2838, decode.acc_seg: 89.8240, loss: 0.2838 2023-01-06 00:38:03,923 - mmseg - INFO - Iter [18300/160000] lr: 5.314e-05, eta: 9:59:28, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2863, decode.acc_seg: 89.6650, loss: 0.2863 2023-01-06 00:38:16,162 - mmseg - INFO - Iter [18350/160000] lr: 5.312e-05, eta: 9:59:12, time: 0.245, data_time: 0.012, memory: 9544, decode.loss_ce: 0.2835, decode.acc_seg: 89.6773, loss: 0.2835 2023-01-06 00:38:28,505 - mmseg - INFO - Iter [18400/160000] lr: 5.310e-05, eta: 9:58:56, time: 0.247, data_time: 0.019, memory: 9544, decode.loss_ce: 0.2755, decode.acc_seg: 90.2640, loss: 0.2755 2023-01-06 00:38:40,881 - mmseg - INFO - Iter [18450/160000] lr: 5.308e-05, eta: 9:58:41, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2695, decode.acc_seg: 89.9020, loss: 0.2695 2023-01-06 00:38:53,368 - mmseg - INFO - Iter [18500/160000] lr: 5.306e-05, eta: 9:58:27, time: 0.250, data_time: 0.012, memory: 9544, decode.loss_ce: 0.2911, decode.acc_seg: 89.3958, loss: 0.2911 2023-01-06 00:39:05,660 - mmseg - INFO - Iter [18550/160000] lr: 5.304e-05, eta: 9:58:11, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2566, decode.acc_seg: 90.7632, loss: 0.2566 2023-01-06 00:39:17,842 - mmseg - INFO - Iter [18600/160000] lr: 5.303e-05, eta: 9:57:55, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2663, decode.acc_seg: 90.1232, loss: 0.2663 2023-01-06 00:39:32,497 - mmseg - INFO - Iter [18650/160000] lr: 5.301e-05, eta: 9:57:57, time: 0.293, data_time: 0.072, memory: 9544, decode.loss_ce: 0.2826, decode.acc_seg: 89.7522, loss: 0.2826 2023-01-06 00:39:44,864 - mmseg - INFO - Iter [18700/160000] lr: 5.299e-05, eta: 9:57:42, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2827, decode.acc_seg: 89.9070, loss: 0.2827 2023-01-06 00:39:57,509 - mmseg - INFO - Iter [18750/160000] lr: 5.297e-05, eta: 9:57:29, time: 0.253, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2672, decode.acc_seg: 90.0023, loss: 0.2672 2023-01-06 00:40:09,632 - mmseg - INFO - Iter [18800/160000] lr: 5.295e-05, eta: 9:57:12, time: 0.243, data_time: 0.012, memory: 9544, decode.loss_ce: 0.2662, decode.acc_seg: 90.4653, loss: 0.2662 2023-01-06 00:40:21,934 - mmseg - INFO - Iter [18850/160000] lr: 5.293e-05, eta: 9:56:56, time: 0.246, data_time: 0.016, memory: 9544, decode.loss_ce: 0.2859, decode.acc_seg: 89.3927, loss: 0.2859 2023-01-06 00:40:34,132 - mmseg - INFO - Iter [18900/160000] lr: 5.291e-05, eta: 9:56:40, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2861, decode.acc_seg: 89.8615, loss: 0.2861 2023-01-06 00:40:46,661 - mmseg - INFO - Iter [18950/160000] lr: 5.289e-05, eta: 9:56:26, time: 0.250, data_time: 0.015, memory: 9544, decode.loss_ce: 0.2546, decode.acc_seg: 90.5186, loss: 0.2546 2023-01-06 00:41:01,196 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 00:41:01,197 - mmseg - INFO - Iter [19000/160000] lr: 5.288e-05, eta: 9:56:27, time: 0.291, data_time: 0.059, memory: 9544, decode.loss_ce: 0.2662, decode.acc_seg: 90.3341, loss: 0.2662 2023-01-06 00:41:13,564 - mmseg - INFO - Iter [19050/160000] lr: 5.286e-05, eta: 9:56:12, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2741, decode.acc_seg: 90.2167, loss: 0.2741 2023-01-06 00:41:26,002 - mmseg - INFO - Iter [19100/160000] lr: 5.284e-05, eta: 9:55:57, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2648, decode.acc_seg: 90.0674, loss: 0.2648 2023-01-06 00:41:38,315 - mmseg - INFO - Iter [19150/160000] lr: 5.282e-05, eta: 9:55:42, time: 0.247, data_time: 0.013, memory: 9544, decode.loss_ce: 0.2851, decode.acc_seg: 89.8338, loss: 0.2851 2023-01-06 00:41:50,704 - mmseg - INFO - Iter [19200/160000] lr: 5.280e-05, eta: 9:55:27, time: 0.248, data_time: 0.011, memory: 9544, decode.loss_ce: 0.2750, decode.acc_seg: 90.0748, loss: 0.2750 2023-01-06 00:42:03,137 - mmseg - INFO - Iter [19250/160000] lr: 5.278e-05, eta: 9:55:13, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2659, decode.acc_seg: 90.2544, loss: 0.2659 2023-01-06 00:42:15,420 - mmseg - INFO - Iter [19300/160000] lr: 5.276e-05, eta: 9:54:57, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2745, decode.acc_seg: 89.7723, loss: 0.2745 2023-01-06 00:42:29,795 - mmseg - INFO - Iter [19350/160000] lr: 5.274e-05, eta: 9:54:57, time: 0.287, data_time: 0.054, memory: 9544, decode.loss_ce: 0.2902, decode.acc_seg: 89.2104, loss: 0.2902 2023-01-06 00:42:42,226 - mmseg - INFO - Iter [19400/160000] lr: 5.273e-05, eta: 9:54:42, time: 0.249, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2513, decode.acc_seg: 90.6207, loss: 0.2513 2023-01-06 00:42:54,370 - mmseg - INFO - Iter [19450/160000] lr: 5.271e-05, eta: 9:54:25, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2792, decode.acc_seg: 89.7858, loss: 0.2792 2023-01-06 00:43:06,795 - mmseg - INFO - Iter [19500/160000] lr: 5.269e-05, eta: 9:54:11, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2857, decode.acc_seg: 89.9494, loss: 0.2857 2023-01-06 00:43:18,832 - mmseg - INFO - Iter [19550/160000] lr: 5.267e-05, eta: 9:53:53, time: 0.241, data_time: 0.018, memory: 9544, decode.loss_ce: 0.2746, decode.acc_seg: 90.1495, loss: 0.2746 2023-01-06 00:43:31,079 - mmseg - INFO - Iter [19600/160000] lr: 5.265e-05, eta: 9:53:38, time: 0.245, data_time: 0.079, memory: 9544, decode.loss_ce: 0.2723, decode.acc_seg: 90.1920, loss: 0.2723 2023-01-06 00:43:43,439 - mmseg - INFO - Iter [19650/160000] lr: 5.263e-05, eta: 9:53:23, time: 0.247, data_time: 0.025, memory: 9544, decode.loss_ce: 0.2749, decode.acc_seg: 89.9393, loss: 0.2749 2023-01-06 00:43:55,635 - mmseg - INFO - Iter [19700/160000] lr: 5.261e-05, eta: 9:53:06, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3149, decode.acc_seg: 88.9019, loss: 0.3149 2023-01-06 00:44:10,305 - mmseg - INFO - Iter [19750/160000] lr: 5.259e-05, eta: 9:53:08, time: 0.293, data_time: 0.056, memory: 9544, decode.loss_ce: 0.2547, decode.acc_seg: 90.4557, loss: 0.2547 2023-01-06 00:44:22,550 - mmseg - INFO - Iter [19800/160000] lr: 5.258e-05, eta: 9:52:52, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2768, decode.acc_seg: 89.4940, loss: 0.2768 2023-01-06 00:44:34,646 - mmseg - INFO - Iter [19850/160000] lr: 5.256e-05, eta: 9:52:35, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2735, decode.acc_seg: 89.9085, loss: 0.2735 2023-01-06 00:44:46,996 - mmseg - INFO - Iter [19900/160000] lr: 5.254e-05, eta: 9:52:20, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2788, decode.acc_seg: 89.7668, loss: 0.2788 2023-01-06 00:44:59,419 - mmseg - INFO - Iter [19950/160000] lr: 5.252e-05, eta: 9:52:06, time: 0.248, data_time: 0.024, memory: 9544, decode.loss_ce: 0.2514, decode.acc_seg: 90.7036, loss: 0.2514 2023-01-06 00:45:11,716 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 00:45:11,717 - mmseg - INFO - Iter [20000/160000] lr: 5.250e-05, eta: 9:51:50, time: 0.246, data_time: 0.013, memory: 9544, decode.loss_ce: 0.2982, decode.acc_seg: 89.6024, loss: 0.2982 2023-01-06 00:45:24,087 - mmseg - INFO - Iter [20050/160000] lr: 5.248e-05, eta: 9:51:35, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.3072, decode.acc_seg: 88.9394, loss: 0.3072 2023-01-06 00:45:38,802 - mmseg - INFO - Iter [20100/160000] lr: 5.246e-05, eta: 9:51:37, time: 0.294, data_time: 0.056, memory: 9544, decode.loss_ce: 0.2926, decode.acc_seg: 89.5199, loss: 0.2926 2023-01-06 00:45:51,191 - mmseg - INFO - Iter [20150/160000] lr: 5.244e-05, eta: 9:51:22, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2726, decode.acc_seg: 90.2443, loss: 0.2726 2023-01-06 00:46:03,389 - mmseg - INFO - Iter [20200/160000] lr: 5.243e-05, eta: 9:51:06, time: 0.244, data_time: 0.013, memory: 9544, decode.loss_ce: 0.2457, decode.acc_seg: 90.9655, loss: 0.2457 2023-01-06 00:46:15,704 - mmseg - INFO - Iter [20250/160000] lr: 5.241e-05, eta: 9:50:51, time: 0.246, data_time: 0.011, memory: 9544, decode.loss_ce: 0.2739, decode.acc_seg: 89.8543, loss: 0.2739 2023-01-06 00:46:28,117 - mmseg - INFO - Iter [20300/160000] lr: 5.239e-05, eta: 9:50:36, time: 0.248, data_time: 0.015, memory: 9544, decode.loss_ce: 0.2792, decode.acc_seg: 89.7414, loss: 0.2792 2023-01-06 00:46:40,497 - mmseg - INFO - Iter [20350/160000] lr: 5.237e-05, eta: 9:50:21, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2869, decode.acc_seg: 89.5397, loss: 0.2869 2023-01-06 00:46:52,830 - mmseg - INFO - Iter [20400/160000] lr: 5.235e-05, eta: 9:50:06, time: 0.246, data_time: 0.014, memory: 9544, decode.loss_ce: 0.2767, decode.acc_seg: 90.2417, loss: 0.2767 2023-01-06 00:47:05,010 - mmseg - INFO - Iter [20450/160000] lr: 5.233e-05, eta: 9:49:50, time: 0.244, data_time: 0.011, memory: 9544, decode.loss_ce: 0.2477, decode.acc_seg: 90.9872, loss: 0.2477 2023-01-06 00:47:19,703 - mmseg - INFO - Iter [20500/160000] lr: 5.231e-05, eta: 9:49:51, time: 0.294, data_time: 0.070, memory: 9544, decode.loss_ce: 0.2636, decode.acc_seg: 90.1980, loss: 0.2636 2023-01-06 00:47:31,979 - mmseg - INFO - Iter [20550/160000] lr: 5.229e-05, eta: 9:49:36, time: 0.246, data_time: 0.011, memory: 9544, decode.loss_ce: 0.2668, decode.acc_seg: 89.8780, loss: 0.2668 2023-01-06 00:47:44,217 - mmseg - INFO - Iter [20600/160000] lr: 5.228e-05, eta: 9:49:20, time: 0.245, data_time: 0.028, memory: 9544, decode.loss_ce: 0.2930, decode.acc_seg: 89.3826, loss: 0.2930 2023-01-06 00:47:56,530 - mmseg - INFO - Iter [20650/160000] lr: 5.226e-05, eta: 9:49:05, time: 0.246, data_time: 0.011, memory: 9544, decode.loss_ce: 0.2458, decode.acc_seg: 90.7665, loss: 0.2458 2023-01-06 00:48:08,667 - mmseg - INFO - Iter [20700/160000] lr: 5.224e-05, eta: 9:48:49, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2501, decode.acc_seg: 90.7447, loss: 0.2501 2023-01-06 00:48:20,896 - mmseg - INFO - Iter [20750/160000] lr: 5.222e-05, eta: 9:48:33, time: 0.245, data_time: 0.076, memory: 9544, decode.loss_ce: 0.2504, decode.acc_seg: 90.7793, loss: 0.2504 2023-01-06 00:48:33,286 - mmseg - INFO - Iter [20800/160000] lr: 5.220e-05, eta: 9:48:18, time: 0.248, data_time: 0.081, memory: 9544, decode.loss_ce: 0.2667, decode.acc_seg: 90.3072, loss: 0.2667 2023-01-06 00:48:47,985 - mmseg - INFO - Iter [20850/160000] lr: 5.218e-05, eta: 9:48:19, time: 0.294, data_time: 0.097, memory: 9544, decode.loss_ce: 0.2666, decode.acc_seg: 90.0427, loss: 0.2666 2023-01-06 00:49:00,363 - mmseg - INFO - Iter [20900/160000] lr: 5.216e-05, eta: 9:48:04, time: 0.248, data_time: 0.011, memory: 9544, decode.loss_ce: 0.2657, decode.acc_seg: 90.0423, loss: 0.2657 2023-01-06 00:49:12,679 - mmseg - INFO - Iter [20950/160000] lr: 5.214e-05, eta: 9:47:49, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2669, decode.acc_seg: 90.0250, loss: 0.2669 2023-01-06 00:49:24,919 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 00:49:24,920 - mmseg - INFO - Iter [21000/160000] lr: 5.213e-05, eta: 9:47:34, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2724, decode.acc_seg: 90.1317, loss: 0.2724 2023-01-06 00:49:37,313 - mmseg - INFO - Iter [21050/160000] lr: 5.211e-05, eta: 9:47:19, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2448, decode.acc_seg: 90.7946, loss: 0.2448 2023-01-06 00:49:49,563 - mmseg - INFO - Iter [21100/160000] lr: 5.209e-05, eta: 9:47:03, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2589, decode.acc_seg: 90.4163, loss: 0.2589 2023-01-06 00:50:02,033 - mmseg - INFO - Iter [21150/160000] lr: 5.207e-05, eta: 9:46:49, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2648, decode.acc_seg: 90.3164, loss: 0.2648 2023-01-06 00:50:14,147 - mmseg - INFO - Iter [21200/160000] lr: 5.205e-05, eta: 9:46:33, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2599, decode.acc_seg: 90.4605, loss: 0.2599 2023-01-06 00:50:28,699 - mmseg - INFO - Iter [21250/160000] lr: 5.203e-05, eta: 9:46:33, time: 0.291, data_time: 0.087, memory: 9544, decode.loss_ce: 0.2734, decode.acc_seg: 90.2074, loss: 0.2734 2023-01-06 00:50:41,139 - mmseg - INFO - Iter [21300/160000] lr: 5.201e-05, eta: 9:46:18, time: 0.249, data_time: 0.021, memory: 9544, decode.loss_ce: 0.2568, decode.acc_seg: 90.4134, loss: 0.2568 2023-01-06 00:50:53,261 - mmseg - INFO - Iter [21350/160000] lr: 5.199e-05, eta: 9:46:02, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2651, decode.acc_seg: 90.1340, loss: 0.2651 2023-01-06 00:51:05,832 - mmseg - INFO - Iter [21400/160000] lr: 5.198e-05, eta: 9:45:48, time: 0.251, data_time: 0.044, memory: 9544, decode.loss_ce: 0.2580, decode.acc_seg: 90.3030, loss: 0.2580 2023-01-06 00:51:18,004 - mmseg - INFO - Iter [21450/160000] lr: 5.196e-05, eta: 9:45:33, time: 0.244, data_time: 0.067, memory: 9544, decode.loss_ce: 0.2815, decode.acc_seg: 89.9504, loss: 0.2815 2023-01-06 00:51:30,160 - mmseg - INFO - Iter [21500/160000] lr: 5.194e-05, eta: 9:45:17, time: 0.243, data_time: 0.021, memory: 9544, decode.loss_ce: 0.2713, decode.acc_seg: 90.3017, loss: 0.2713 2023-01-06 00:51:42,570 - mmseg - INFO - Iter [21550/160000] lr: 5.192e-05, eta: 9:45:02, time: 0.248, data_time: 0.023, memory: 9544, decode.loss_ce: 0.2804, decode.acc_seg: 89.9475, loss: 0.2804 2023-01-06 00:51:57,149 - mmseg - INFO - Iter [21600/160000] lr: 5.190e-05, eta: 9:45:02, time: 0.292, data_time: 0.054, memory: 9544, decode.loss_ce: 0.2553, decode.acc_seg: 90.4511, loss: 0.2553 2023-01-06 00:52:09,172 - mmseg - INFO - Iter [21650/160000] lr: 5.188e-05, eta: 9:44:45, time: 0.240, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2723, decode.acc_seg: 89.6084, loss: 0.2723 2023-01-06 00:52:21,404 - mmseg - INFO - Iter [21700/160000] lr: 5.186e-05, eta: 9:44:29, time: 0.245, data_time: 0.070, memory: 9544, decode.loss_ce: 0.2571, decode.acc_seg: 90.7313, loss: 0.2571 2023-01-06 00:52:33,629 - mmseg - INFO - Iter [21750/160000] lr: 5.184e-05, eta: 9:44:14, time: 0.245, data_time: 0.029, memory: 9544, decode.loss_ce: 0.2462, decode.acc_seg: 90.9920, loss: 0.2462 2023-01-06 00:52:45,781 - mmseg - INFO - Iter [21800/160000] lr: 5.183e-05, eta: 9:43:58, time: 0.243, data_time: 0.020, memory: 9544, decode.loss_ce: 0.3044, decode.acc_seg: 89.3711, loss: 0.3044 2023-01-06 00:52:58,241 - mmseg - INFO - Iter [21850/160000] lr: 5.181e-05, eta: 9:43:44, time: 0.249, data_time: 0.017, memory: 9544, decode.loss_ce: 0.2627, decode.acc_seg: 90.5246, loss: 0.2627 2023-01-06 00:53:10,614 - mmseg - INFO - Iter [21900/160000] lr: 5.179e-05, eta: 9:43:29, time: 0.248, data_time: 0.011, memory: 9544, decode.loss_ce: 0.2531, decode.acc_seg: 90.5197, loss: 0.2531 2023-01-06 00:53:25,009 - mmseg - INFO - Iter [21950/160000] lr: 5.177e-05, eta: 9:43:27, time: 0.288, data_time: 0.055, memory: 9544, decode.loss_ce: 0.2677, decode.acc_seg: 90.2066, loss: 0.2677 2023-01-06 00:53:37,317 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 00:53:37,318 - mmseg - INFO - Iter [22000/160000] lr: 5.175e-05, eta: 9:43:12, time: 0.246, data_time: 0.045, memory: 9544, decode.loss_ce: 0.2694, decode.acc_seg: 90.1387, loss: 0.2694 2023-01-06 00:53:49,471 - mmseg - INFO - Iter [22050/160000] lr: 5.173e-05, eta: 9:42:56, time: 0.243, data_time: 0.030, memory: 9544, decode.loss_ce: 0.2491, decode.acc_seg: 90.8671, loss: 0.2491 2023-01-06 00:54:01,742 - mmseg - INFO - Iter [22100/160000] lr: 5.171e-05, eta: 9:42:41, time: 0.245, data_time: 0.065, memory: 9544, decode.loss_ce: 0.2338, decode.acc_seg: 91.1856, loss: 0.2338 2023-01-06 00:54:14,222 - mmseg - INFO - Iter [22150/160000] lr: 5.169e-05, eta: 9:42:27, time: 0.250, data_time: 0.083, memory: 9544, decode.loss_ce: 0.2419, decode.acc_seg: 90.9499, loss: 0.2419 2023-01-06 00:54:26,483 - mmseg - INFO - Iter [22200/160000] lr: 5.168e-05, eta: 9:42:12, time: 0.245, data_time: 0.075, memory: 9544, decode.loss_ce: 0.2686, decode.acc_seg: 90.1994, loss: 0.2686 2023-01-06 00:54:38,575 - mmseg - INFO - Iter [22250/160000] lr: 5.166e-05, eta: 9:41:56, time: 0.242, data_time: 0.022, memory: 9544, decode.loss_ce: 0.2626, decode.acc_seg: 90.3698, loss: 0.2626 2023-01-06 00:54:50,774 - mmseg - INFO - Iter [22300/160000] lr: 5.164e-05, eta: 9:41:40, time: 0.244, data_time: 0.016, memory: 9544, decode.loss_ce: 0.3031, decode.acc_seg: 89.4130, loss: 0.3031 2023-01-06 00:55:05,475 - mmseg - INFO - Iter [22350/160000] lr: 5.162e-05, eta: 9:41:40, time: 0.294, data_time: 0.054, memory: 9544, decode.loss_ce: 0.2900, decode.acc_seg: 89.8463, loss: 0.2900 2023-01-06 00:55:18,201 - mmseg - INFO - Iter [22400/160000] lr: 5.160e-05, eta: 9:41:27, time: 0.254, data_time: 0.022, memory: 9544, decode.loss_ce: 0.2585, decode.acc_seg: 90.1876, loss: 0.2585 2023-01-06 00:55:30,837 - mmseg - INFO - Iter [22450/160000] lr: 5.158e-05, eta: 9:41:14, time: 0.253, data_time: 0.048, memory: 9544, decode.loss_ce: 0.2501, decode.acc_seg: 90.8945, loss: 0.2501 2023-01-06 00:55:43,282 - mmseg - INFO - Iter [22500/160000] lr: 5.156e-05, eta: 9:41:00, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2574, decode.acc_seg: 90.2378, loss: 0.2574 2023-01-06 00:55:55,330 - mmseg - INFO - Iter [22550/160000] lr: 5.154e-05, eta: 9:40:44, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2466, decode.acc_seg: 91.0718, loss: 0.2466 2023-01-06 00:56:07,670 - mmseg - INFO - Iter [22600/160000] lr: 5.153e-05, eta: 9:40:29, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2580, decode.acc_seg: 90.5602, loss: 0.2580 2023-01-06 00:56:20,012 - mmseg - INFO - Iter [22650/160000] lr: 5.151e-05, eta: 9:40:14, time: 0.247, data_time: 0.016, memory: 9544, decode.loss_ce: 0.2663, decode.acc_seg: 90.0551, loss: 0.2663 2023-01-06 00:56:34,725 - mmseg - INFO - Iter [22700/160000] lr: 5.149e-05, eta: 9:40:14, time: 0.294, data_time: 0.076, memory: 9544, decode.loss_ce: 0.2874, decode.acc_seg: 89.6591, loss: 0.2874 2023-01-06 00:56:46,944 - mmseg - INFO - Iter [22750/160000] lr: 5.147e-05, eta: 9:39:59, time: 0.244, data_time: 0.014, memory: 9544, decode.loss_ce: 0.2566, decode.acc_seg: 90.4819, loss: 0.2566 2023-01-06 00:56:59,244 - mmseg - INFO - Iter [22800/160000] lr: 5.145e-05, eta: 9:39:44, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2574, decode.acc_seg: 90.5793, loss: 0.2574 2023-01-06 00:57:11,518 - mmseg - INFO - Iter [22850/160000] lr: 5.143e-05, eta: 9:39:29, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2711, decode.acc_seg: 90.5119, loss: 0.2711 2023-01-06 00:57:23,880 - mmseg - INFO - Iter [22900/160000] lr: 5.141e-05, eta: 9:39:14, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2661, decode.acc_seg: 90.3243, loss: 0.2661 2023-01-06 00:57:35,985 - mmseg - INFO - Iter [22950/160000] lr: 5.139e-05, eta: 9:38:58, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2321, decode.acc_seg: 91.2919, loss: 0.2321 2023-01-06 00:57:48,237 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 00:57:48,238 - mmseg - INFO - Iter [23000/160000] lr: 5.138e-05, eta: 9:38:43, time: 0.245, data_time: 0.017, memory: 9544, decode.loss_ce: 0.2541, decode.acc_seg: 90.4866, loss: 0.2541 2023-01-06 00:58:00,765 - mmseg - INFO - Iter [23050/160000] lr: 5.136e-05, eta: 9:38:29, time: 0.251, data_time: 0.077, memory: 9544, decode.loss_ce: 0.2689, decode.acc_seg: 90.2724, loss: 0.2689 2023-01-06 00:58:15,404 - mmseg - INFO - Iter [23100/160000] lr: 5.134e-05, eta: 9:38:28, time: 0.293, data_time: 0.087, memory: 9544, decode.loss_ce: 0.2510, decode.acc_seg: 90.7429, loss: 0.2510 2023-01-06 00:58:27,736 - mmseg - INFO - Iter [23150/160000] lr: 5.132e-05, eta: 9:38:13, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2603, decode.acc_seg: 90.1753, loss: 0.2603 2023-01-06 00:58:40,136 - mmseg - INFO - Iter [23200/160000] lr: 5.130e-05, eta: 9:37:59, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2406, decode.acc_seg: 91.2342, loss: 0.2406 2023-01-06 00:58:52,429 - mmseg - INFO - Iter [23250/160000] lr: 5.128e-05, eta: 9:37:44, time: 0.246, data_time: 0.012, memory: 9544, decode.loss_ce: 0.2627, decode.acc_seg: 90.0692, loss: 0.2627 2023-01-06 00:59:04,725 - mmseg - INFO - Iter [23300/160000] lr: 5.126e-05, eta: 9:37:29, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2493, decode.acc_seg: 90.7695, loss: 0.2493 2023-01-06 00:59:17,359 - mmseg - INFO - Iter [23350/160000] lr: 5.124e-05, eta: 9:37:16, time: 0.253, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2427, decode.acc_seg: 91.1232, loss: 0.2427 2023-01-06 00:59:29,773 - mmseg - INFO - Iter [23400/160000] lr: 5.123e-05, eta: 9:37:02, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2563, decode.acc_seg: 90.7114, loss: 0.2563 2023-01-06 00:59:44,674 - mmseg - INFO - Iter [23450/160000] lr: 5.121e-05, eta: 9:37:03, time: 0.298, data_time: 0.058, memory: 9544, decode.loss_ce: 0.2663, decode.acc_seg: 90.2680, loss: 0.2663 2023-01-06 00:59:57,341 - mmseg - INFO - Iter [23500/160000] lr: 5.119e-05, eta: 9:36:50, time: 0.253, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2569, decode.acc_seg: 90.7662, loss: 0.2569 2023-01-06 01:00:09,991 - mmseg - INFO - Iter [23550/160000] lr: 5.117e-05, eta: 9:36:37, time: 0.253, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2472, decode.acc_seg: 90.7364, loss: 0.2472 2023-01-06 01:00:22,282 - mmseg - INFO - Iter [23600/160000] lr: 5.115e-05, eta: 9:36:22, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2719, decode.acc_seg: 89.9597, loss: 0.2719 2023-01-06 01:00:34,947 - mmseg - INFO - Iter [23650/160000] lr: 5.113e-05, eta: 9:36:09, time: 0.253, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2353, decode.acc_seg: 91.3051, loss: 0.2353 2023-01-06 01:00:47,244 - mmseg - INFO - Iter [23700/160000] lr: 5.111e-05, eta: 9:35:54, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2383, decode.acc_seg: 90.9935, loss: 0.2383 2023-01-06 01:00:59,652 - mmseg - INFO - Iter [23750/160000] lr: 5.109e-05, eta: 9:35:40, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2613, decode.acc_seg: 90.6722, loss: 0.2613 2023-01-06 01:01:12,620 - mmseg - INFO - Iter [23800/160000] lr: 5.108e-05, eta: 9:35:29, time: 0.259, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2493, decode.acc_seg: 90.6797, loss: 0.2493 2023-01-06 01:01:27,369 - mmseg - INFO - Iter [23850/160000] lr: 5.106e-05, eta: 9:35:28, time: 0.295, data_time: 0.055, memory: 9544, decode.loss_ce: 0.2370, decode.acc_seg: 91.3677, loss: 0.2370 2023-01-06 01:01:39,994 - mmseg - INFO - Iter [23900/160000] lr: 5.104e-05, eta: 9:35:15, time: 0.253, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2435, decode.acc_seg: 90.8770, loss: 0.2435 2023-01-06 01:01:52,699 - mmseg - INFO - Iter [23950/160000] lr: 5.102e-05, eta: 9:35:03, time: 0.254, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2501, decode.acc_seg: 90.5177, loss: 0.2501 2023-01-06 01:02:05,339 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 01:02:05,341 - mmseg - INFO - Iter [24000/160000] lr: 5.100e-05, eta: 9:34:50, time: 0.253, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2609, decode.acc_seg: 90.5055, loss: 0.2609 2023-01-06 01:02:18,068 - mmseg - INFO - Iter [24050/160000] lr: 5.098e-05, eta: 9:34:37, time: 0.254, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2618, decode.acc_seg: 90.4982, loss: 0.2618 2023-01-06 01:02:30,750 - mmseg - INFO - Iter [24100/160000] lr: 5.096e-05, eta: 9:34:25, time: 0.254, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2598, decode.acc_seg: 90.5209, loss: 0.2598 2023-01-06 01:02:43,328 - mmseg - INFO - Iter [24150/160000] lr: 5.094e-05, eta: 9:34:12, time: 0.251, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2580, decode.acc_seg: 90.4899, loss: 0.2580 2023-01-06 01:02:58,135 - mmseg - INFO - Iter [24200/160000] lr: 5.093e-05, eta: 9:34:11, time: 0.296, data_time: 0.082, memory: 9544, decode.loss_ce: 0.2523, decode.acc_seg: 90.6821, loss: 0.2523 2023-01-06 01:03:10,279 - mmseg - INFO - Iter [24250/160000] lr: 5.091e-05, eta: 9:33:55, time: 0.243, data_time: 0.020, memory: 9544, decode.loss_ce: 0.2395, decode.acc_seg: 91.1585, loss: 0.2395 2023-01-06 01:03:22,759 - mmseg - INFO - Iter [24300/160000] lr: 5.089e-05, eta: 9:33:41, time: 0.250, data_time: 0.014, memory: 9544, decode.loss_ce: 0.2354, decode.acc_seg: 90.9173, loss: 0.2354 2023-01-06 01:03:35,098 - mmseg - INFO - Iter [24350/160000] lr: 5.087e-05, eta: 9:33:27, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2706, decode.acc_seg: 90.2497, loss: 0.2706 2023-01-06 01:03:47,721 - mmseg - INFO - Iter [24400/160000] lr: 5.085e-05, eta: 9:33:14, time: 0.253, data_time: 0.032, memory: 9544, decode.loss_ce: 0.2495, decode.acc_seg: 90.7011, loss: 0.2495 2023-01-06 01:03:59,838 - mmseg - INFO - Iter [24450/160000] lr: 5.083e-05, eta: 9:32:58, time: 0.242, data_time: 0.019, memory: 9544, decode.loss_ce: 0.2593, decode.acc_seg: 90.3873, loss: 0.2593 2023-01-06 01:04:12,318 - mmseg - INFO - Iter [24500/160000] lr: 5.081e-05, eta: 9:32:44, time: 0.250, data_time: 0.068, memory: 9544, decode.loss_ce: 0.2541, decode.acc_seg: 90.7830, loss: 0.2541 2023-01-06 01:04:24,648 - mmseg - INFO - Iter [24550/160000] lr: 5.079e-05, eta: 9:32:29, time: 0.247, data_time: 0.081, memory: 9544, decode.loss_ce: 0.2510, decode.acc_seg: 90.9595, loss: 0.2510 2023-01-06 01:04:39,280 - mmseg - INFO - Iter [24600/160000] lr: 5.078e-05, eta: 9:32:28, time: 0.293, data_time: 0.067, memory: 9544, decode.loss_ce: 0.2448, decode.acc_seg: 90.8046, loss: 0.2448 2023-01-06 01:04:51,659 - mmseg - INFO - Iter [24650/160000] lr: 5.076e-05, eta: 9:32:13, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2388, decode.acc_seg: 91.0380, loss: 0.2388 2023-01-06 01:05:03,907 - mmseg - INFO - Iter [24700/160000] lr: 5.074e-05, eta: 9:31:58, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2741, decode.acc_seg: 90.2577, loss: 0.2741 2023-01-06 01:05:16,286 - mmseg - INFO - Iter [24750/160000] lr: 5.072e-05, eta: 9:31:44, time: 0.247, data_time: 0.014, memory: 9544, decode.loss_ce: 0.2590, decode.acc_seg: 90.6104, loss: 0.2590 2023-01-06 01:05:28,657 - mmseg - INFO - Iter [24800/160000] lr: 5.070e-05, eta: 9:31:29, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2572, decode.acc_seg: 90.6205, loss: 0.2572 2023-01-06 01:05:40,916 - mmseg - INFO - Iter [24850/160000] lr: 5.068e-05, eta: 9:31:14, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2443, decode.acc_seg: 91.1234, loss: 0.2443 2023-01-06 01:05:53,269 - mmseg - INFO - Iter [24900/160000] lr: 5.066e-05, eta: 9:31:00, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2600, decode.acc_seg: 90.2216, loss: 0.2600 2023-01-06 01:06:08,143 - mmseg - INFO - Iter [24950/160000] lr: 5.064e-05, eta: 9:30:59, time: 0.298, data_time: 0.089, memory: 9544, decode.loss_ce: 0.2294, decode.acc_seg: 91.4815, loss: 0.2294 2023-01-06 01:06:20,308 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 01:06:20,308 - mmseg - INFO - Iter [25000/160000] lr: 5.063e-05, eta: 9:30:44, time: 0.243, data_time: 0.044, memory: 9544, decode.loss_ce: 0.2336, decode.acc_seg: 91.1219, loss: 0.2336 2023-01-06 01:06:32,549 - mmseg - INFO - Iter [25050/160000] lr: 5.061e-05, eta: 9:30:29, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2545, decode.acc_seg: 90.7034, loss: 0.2545 2023-01-06 01:06:45,027 - mmseg - INFO - Iter [25100/160000] lr: 5.059e-05, eta: 9:30:15, time: 0.250, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2470, decode.acc_seg: 90.8910, loss: 0.2470 2023-01-06 01:06:57,368 - mmseg - INFO - Iter [25150/160000] lr: 5.057e-05, eta: 9:30:00, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2672, decode.acc_seg: 90.1996, loss: 0.2672 2023-01-06 01:07:09,862 - mmseg - INFO - Iter [25200/160000] lr: 5.055e-05, eta: 9:29:47, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2434, decode.acc_seg: 90.9057, loss: 0.2434 2023-01-06 01:07:22,044 - mmseg - INFO - Iter [25250/160000] lr: 5.053e-05, eta: 9:29:31, time: 0.243, data_time: 0.012, memory: 9544, decode.loss_ce: 0.2630, decode.acc_seg: 90.4323, loss: 0.2630 2023-01-06 01:07:36,545 - mmseg - INFO - Iter [25300/160000] lr: 5.051e-05, eta: 9:29:28, time: 0.290, data_time: 0.054, memory: 9544, decode.loss_ce: 0.2441, decode.acc_seg: 90.9179, loss: 0.2441 2023-01-06 01:07:49,017 - mmseg - INFO - Iter [25350/160000] lr: 5.049e-05, eta: 9:29:14, time: 0.250, data_time: 0.018, memory: 9544, decode.loss_ce: 0.2546, decode.acc_seg: 90.6524, loss: 0.2546 2023-01-06 01:08:01,282 - mmseg - INFO - Iter [25400/160000] lr: 5.048e-05, eta: 9:28:59, time: 0.245, data_time: 0.018, memory: 9544, decode.loss_ce: 0.2511, decode.acc_seg: 90.7949, loss: 0.2511 2023-01-06 01:08:13,575 - mmseg - INFO - Iter [25450/160000] lr: 5.046e-05, eta: 9:28:45, time: 0.246, data_time: 0.070, memory: 9544, decode.loss_ce: 0.2542, decode.acc_seg: 90.7615, loss: 0.2542 2023-01-06 01:08:25,955 - mmseg - INFO - Iter [25500/160000] lr: 5.044e-05, eta: 9:28:31, time: 0.248, data_time: 0.038, memory: 9544, decode.loss_ce: 0.2419, decode.acc_seg: 91.0469, loss: 0.2419 2023-01-06 01:08:38,305 - mmseg - INFO - Iter [25550/160000] lr: 5.042e-05, eta: 9:28:16, time: 0.247, data_time: 0.018, memory: 9544, decode.loss_ce: 0.2503, decode.acc_seg: 90.9039, loss: 0.2503 2023-01-06 01:08:50,669 - mmseg - INFO - Iter [25600/160000] lr: 5.040e-05, eta: 9:28:02, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2726, decode.acc_seg: 89.9985, loss: 0.2726 2023-01-06 01:09:03,303 - mmseg - INFO - Iter [25650/160000] lr: 5.038e-05, eta: 9:27:49, time: 0.253, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2740, decode.acc_seg: 90.1227, loss: 0.2740 2023-01-06 01:09:17,919 - mmseg - INFO - Iter [25700/160000] lr: 5.036e-05, eta: 9:27:46, time: 0.292, data_time: 0.056, memory: 9544, decode.loss_ce: 0.2259, decode.acc_seg: 91.3870, loss: 0.2259 2023-01-06 01:09:30,224 - mmseg - INFO - Iter [25750/160000] lr: 5.034e-05, eta: 9:27:32, time: 0.246, data_time: 0.030, memory: 9544, decode.loss_ce: 0.2427, decode.acc_seg: 90.7270, loss: 0.2427 2023-01-06 01:09:42,496 - mmseg - INFO - Iter [25800/160000] lr: 5.033e-05, eta: 9:27:17, time: 0.245, data_time: 0.044, memory: 9544, decode.loss_ce: 0.2298, decode.acc_seg: 91.6878, loss: 0.2298 2023-01-06 01:09:54,771 - mmseg - INFO - Iter [25850/160000] lr: 5.031e-05, eta: 9:27:02, time: 0.245, data_time: 0.017, memory: 9544, decode.loss_ce: 0.2323, decode.acc_seg: 91.5695, loss: 0.2323 2023-01-06 01:10:06,924 - mmseg - INFO - Iter [25900/160000] lr: 5.029e-05, eta: 9:26:47, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2615, decode.acc_seg: 90.4766, loss: 0.2615 2023-01-06 01:10:19,143 - mmseg - INFO - Iter [25950/160000] lr: 5.027e-05, eta: 9:26:32, time: 0.245, data_time: 0.020, memory: 9544, decode.loss_ce: 0.2478, decode.acc_seg: 91.0746, loss: 0.2478 2023-01-06 01:10:31,482 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 01:10:31,483 - mmseg - INFO - Iter [26000/160000] lr: 5.025e-05, eta: 9:26:17, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2250, decode.acc_seg: 91.4945, loss: 0.2250 2023-01-06 01:10:46,164 - mmseg - INFO - Iter [26050/160000] lr: 5.023e-05, eta: 9:26:15, time: 0.293, data_time: 0.054, memory: 9544, decode.loss_ce: 0.2454, decode.acc_seg: 90.6003, loss: 0.2454 2023-01-06 01:10:58,337 - mmseg - INFO - Iter [26100/160000] lr: 5.021e-05, eta: 9:25:59, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2339, decode.acc_seg: 91.1236, loss: 0.2339 2023-01-06 01:11:10,618 - mmseg - INFO - Iter [26150/160000] lr: 5.019e-05, eta: 9:25:45, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2353, decode.acc_seg: 91.3572, loss: 0.2353 2023-01-06 01:11:22,802 - mmseg - INFO - Iter [26200/160000] lr: 5.018e-05, eta: 9:25:29, time: 0.244, data_time: 0.039, memory: 9544, decode.loss_ce: 0.2442, decode.acc_seg: 91.0828, loss: 0.2442 2023-01-06 01:11:35,447 - mmseg - INFO - Iter [26250/160000] lr: 5.016e-05, eta: 9:25:17, time: 0.253, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2444, decode.acc_seg: 90.9294, loss: 0.2444 2023-01-06 01:11:47,631 - mmseg - INFO - Iter [26300/160000] lr: 5.014e-05, eta: 9:25:01, time: 0.244, data_time: 0.011, memory: 9544, decode.loss_ce: 0.2618, decode.acc_seg: 90.5234, loss: 0.2618 2023-01-06 01:12:00,016 - mmseg - INFO - Iter [26350/160000] lr: 5.012e-05, eta: 9:24:47, time: 0.247, data_time: 0.025, memory: 9544, decode.loss_ce: 0.2292, decode.acc_seg: 91.2163, loss: 0.2292 2023-01-06 01:12:12,272 - mmseg - INFO - Iter [26400/160000] lr: 5.010e-05, eta: 9:24:32, time: 0.245, data_time: 0.022, memory: 9544, decode.loss_ce: 0.2510, decode.acc_seg: 91.0364, loss: 0.2510 2023-01-06 01:12:26,671 - mmseg - INFO - Iter [26450/160000] lr: 5.008e-05, eta: 9:24:28, time: 0.288, data_time: 0.062, memory: 9544, decode.loss_ce: 0.2580, decode.acc_seg: 90.3897, loss: 0.2580 2023-01-06 01:12:38,868 - mmseg - INFO - Iter [26500/160000] lr: 5.006e-05, eta: 9:24:13, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2413, decode.acc_seg: 90.9818, loss: 0.2413 2023-01-06 01:12:51,073 - mmseg - INFO - Iter [26550/160000] lr: 5.004e-05, eta: 9:23:58, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2225, decode.acc_seg: 91.6324, loss: 0.2225 2023-01-06 01:13:03,561 - mmseg - INFO - Iter [26600/160000] lr: 5.003e-05, eta: 9:23:45, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2467, decode.acc_seg: 90.9386, loss: 0.2467 2023-01-06 01:13:15,874 - mmseg - INFO - Iter [26650/160000] lr: 5.001e-05, eta: 9:23:30, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2606, decode.acc_seg: 90.5039, loss: 0.2606 2023-01-06 01:13:28,276 - mmseg - INFO - Iter [26700/160000] lr: 4.999e-05, eta: 9:23:16, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2296, decode.acc_seg: 91.6894, loss: 0.2296 2023-01-06 01:13:40,491 - mmseg - INFO - Iter [26750/160000] lr: 4.997e-05, eta: 9:23:01, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2469, decode.acc_seg: 90.6372, loss: 0.2469 2023-01-06 01:13:54,876 - mmseg - INFO - Iter [26800/160000] lr: 4.995e-05, eta: 9:22:57, time: 0.288, data_time: 0.074, memory: 9544, decode.loss_ce: 0.2515, decode.acc_seg: 90.6050, loss: 0.2515 2023-01-06 01:14:07,223 - mmseg - INFO - Iter [26850/160000] lr: 4.993e-05, eta: 9:22:43, time: 0.247, data_time: 0.031, memory: 9544, decode.loss_ce: 0.2430, decode.acc_seg: 90.9677, loss: 0.2430 2023-01-06 01:14:19,554 - mmseg - INFO - Iter [26900/160000] lr: 4.991e-05, eta: 9:22:28, time: 0.246, data_time: 0.012, memory: 9544, decode.loss_ce: 0.2588, decode.acc_seg: 90.5452, loss: 0.2588 2023-01-06 01:14:31,807 - mmseg - INFO - Iter [26950/160000] lr: 4.989e-05, eta: 9:22:13, time: 0.245, data_time: 0.011, memory: 9544, decode.loss_ce: 0.2454, decode.acc_seg: 91.0499, loss: 0.2454 2023-01-06 01:14:44,196 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 01:14:44,197 - mmseg - INFO - Iter [27000/160000] lr: 4.988e-05, eta: 9:21:59, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2595, decode.acc_seg: 90.3663, loss: 0.2595 2023-01-06 01:14:56,636 - mmseg - INFO - Iter [27050/160000] lr: 4.986e-05, eta: 9:21:45, time: 0.249, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2501, decode.acc_seg: 90.8922, loss: 0.2501 2023-01-06 01:15:08,981 - mmseg - INFO - Iter [27100/160000] lr: 4.984e-05, eta: 9:21:31, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2412, decode.acc_seg: 91.0848, loss: 0.2412 2023-01-06 01:15:21,306 - mmseg - INFO - Iter [27150/160000] lr: 4.982e-05, eta: 9:21:17, time: 0.246, data_time: 0.016, memory: 9544, decode.loss_ce: 0.2230, decode.acc_seg: 91.6994, loss: 0.2230 2023-01-06 01:15:35,692 - mmseg - INFO - Iter [27200/160000] lr: 4.980e-05, eta: 9:21:12, time: 0.288, data_time: 0.059, memory: 9544, decode.loss_ce: 0.2271, decode.acc_seg: 91.4920, loss: 0.2271 2023-01-06 01:15:47,927 - mmseg - INFO - Iter [27250/160000] lr: 4.978e-05, eta: 9:20:58, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2532, decode.acc_seg: 90.8120, loss: 0.2532 2023-01-06 01:16:00,349 - mmseg - INFO - Iter [27300/160000] lr: 4.976e-05, eta: 9:20:44, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2584, decode.acc_seg: 90.2903, loss: 0.2584 2023-01-06 01:16:12,686 - mmseg - INFO - Iter [27350/160000] lr: 4.974e-05, eta: 9:20:29, time: 0.247, data_time: 0.011, memory: 9544, decode.loss_ce: 0.2342, decode.acc_seg: 91.3937, loss: 0.2342 2023-01-06 01:16:24,890 - mmseg - INFO - Iter [27400/160000] lr: 4.973e-05, eta: 9:20:14, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2281, decode.acc_seg: 91.5442, loss: 0.2281 2023-01-06 01:16:37,273 - mmseg - INFO - Iter [27450/160000] lr: 4.971e-05, eta: 9:20:00, time: 0.248, data_time: 0.030, memory: 9544, decode.loss_ce: 0.2281, decode.acc_seg: 91.1898, loss: 0.2281 2023-01-06 01:16:49,632 - mmseg - INFO - Iter [27500/160000] lr: 4.969e-05, eta: 9:19:46, time: 0.247, data_time: 0.057, memory: 9544, decode.loss_ce: 0.2321, decode.acc_seg: 91.2615, loss: 0.2321 2023-01-06 01:17:04,243 - mmseg - INFO - Iter [27550/160000] lr: 4.967e-05, eta: 9:19:43, time: 0.292, data_time: 0.054, memory: 9544, decode.loss_ce: 0.2648, decode.acc_seg: 90.5776, loss: 0.2648 2023-01-06 01:17:16,559 - mmseg - INFO - Iter [27600/160000] lr: 4.965e-05, eta: 9:19:28, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2398, decode.acc_seg: 91.0032, loss: 0.2398 2023-01-06 01:17:28,789 - mmseg - INFO - Iter [27650/160000] lr: 4.963e-05, eta: 9:19:13, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2450, decode.acc_seg: 91.0222, loss: 0.2450 2023-01-06 01:17:41,150 - mmseg - INFO - Iter [27700/160000] lr: 4.961e-05, eta: 9:18:59, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2446, decode.acc_seg: 91.3114, loss: 0.2446 2023-01-06 01:17:53,419 - mmseg - INFO - Iter [27750/160000] lr: 4.959e-05, eta: 9:18:45, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2354, decode.acc_seg: 91.2758, loss: 0.2354 2023-01-06 01:18:05,834 - mmseg - INFO - Iter [27800/160000] lr: 4.958e-05, eta: 9:18:31, time: 0.248, data_time: 0.058, memory: 9544, decode.loss_ce: 0.2311, decode.acc_seg: 91.3164, loss: 0.2311 2023-01-06 01:18:17,980 - mmseg - INFO - Iter [27850/160000] lr: 4.956e-05, eta: 9:18:16, time: 0.243, data_time: 0.039, memory: 9544, decode.loss_ce: 0.2528, decode.acc_seg: 90.7330, loss: 0.2528 2023-01-06 01:18:30,166 - mmseg - INFO - Iter [27900/160000] lr: 4.954e-05, eta: 9:18:01, time: 0.243, data_time: 0.041, memory: 9544, decode.loss_ce: 0.2371, decode.acc_seg: 91.0172, loss: 0.2371 2023-01-06 01:18:45,086 - mmseg - INFO - Iter [27950/160000] lr: 4.952e-05, eta: 9:17:58, time: 0.298, data_time: 0.062, memory: 9544, decode.loss_ce: 0.2373, decode.acc_seg: 91.3348, loss: 0.2373 2023-01-06 01:18:57,650 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 01:18:57,650 - mmseg - INFO - Iter [28000/160000] lr: 4.950e-05, eta: 9:17:45, time: 0.251, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2353, decode.acc_seg: 91.4626, loss: 0.2353 2023-01-06 01:19:10,246 - mmseg - INFO - Iter [28050/160000] lr: 4.948e-05, eta: 9:17:32, time: 0.252, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2516, decode.acc_seg: 90.6934, loss: 0.2516 2023-01-06 01:19:22,482 - mmseg - INFO - Iter [28100/160000] lr: 4.946e-05, eta: 9:17:18, time: 0.245, data_time: 0.017, memory: 9544, decode.loss_ce: 0.2544, decode.acc_seg: 90.6311, loss: 0.2544 2023-01-06 01:19:34,629 - mmseg - INFO - Iter [28150/160000] lr: 4.944e-05, eta: 9:17:02, time: 0.243, data_time: 0.075, memory: 9544, decode.loss_ce: 0.2422, decode.acc_seg: 91.0880, loss: 0.2422 2023-01-06 01:19:46,956 - mmseg - INFO - Iter [28200/160000] lr: 4.943e-05, eta: 9:16:48, time: 0.246, data_time: 0.046, memory: 9544, decode.loss_ce: 0.2703, decode.acc_seg: 90.3664, loss: 0.2703 2023-01-06 01:19:59,509 - mmseg - INFO - Iter [28250/160000] lr: 4.941e-05, eta: 9:16:35, time: 0.251, data_time: 0.011, memory: 9544, decode.loss_ce: 0.2490, decode.acc_seg: 90.7507, loss: 0.2490 2023-01-06 01:20:14,184 - mmseg - INFO - Iter [28300/160000] lr: 4.939e-05, eta: 9:16:31, time: 0.293, data_time: 0.058, memory: 9544, decode.loss_ce: 0.2765, decode.acc_seg: 89.6234, loss: 0.2765 2023-01-06 01:20:26,404 - mmseg - INFO - Iter [28350/160000] lr: 4.937e-05, eta: 9:16:17, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2494, decode.acc_seg: 91.0268, loss: 0.2494 2023-01-06 01:20:38,849 - mmseg - INFO - Iter [28400/160000] lr: 4.935e-05, eta: 9:16:03, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2363, decode.acc_seg: 91.1108, loss: 0.2363 2023-01-06 01:20:51,142 - mmseg - INFO - Iter [28450/160000] lr: 4.933e-05, eta: 9:15:48, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2607, decode.acc_seg: 90.3391, loss: 0.2607 2023-01-06 01:21:03,921 - mmseg - INFO - Iter [28500/160000] lr: 4.931e-05, eta: 9:15:36, time: 0.256, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2207, decode.acc_seg: 91.7643, loss: 0.2207 2023-01-06 01:21:16,052 - mmseg - INFO - Iter [28550/160000] lr: 4.929e-05, eta: 9:15:21, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2373, decode.acc_seg: 91.0817, loss: 0.2373 2023-01-06 01:21:28,203 - mmseg - INFO - Iter [28600/160000] lr: 4.928e-05, eta: 9:15:06, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2371, decode.acc_seg: 91.2038, loss: 0.2371 2023-01-06 01:21:42,978 - mmseg - INFO - Iter [28650/160000] lr: 4.926e-05, eta: 9:15:03, time: 0.295, data_time: 0.055, memory: 9544, decode.loss_ce: 0.2319, decode.acc_seg: 91.2871, loss: 0.2319 2023-01-06 01:21:55,364 - mmseg - INFO - Iter [28700/160000] lr: 4.924e-05, eta: 9:14:49, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2356, decode.acc_seg: 91.4468, loss: 0.2356 2023-01-06 01:22:07,716 - mmseg - INFO - Iter [28750/160000] lr: 4.922e-05, eta: 9:14:35, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2523, decode.acc_seg: 90.7016, loss: 0.2523 2023-01-06 01:22:19,986 - mmseg - INFO - Iter [28800/160000] lr: 4.920e-05, eta: 9:14:20, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2481, decode.acc_seg: 90.7628, loss: 0.2481 2023-01-06 01:22:32,349 - mmseg - INFO - Iter [28850/160000] lr: 4.918e-05, eta: 9:14:06, time: 0.248, data_time: 0.011, memory: 9544, decode.loss_ce: 0.2481, decode.acc_seg: 90.9822, loss: 0.2481 2023-01-06 01:22:44,744 - mmseg - INFO - Iter [28900/160000] lr: 4.916e-05, eta: 9:13:52, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2330, decode.acc_seg: 91.3078, loss: 0.2330 2023-01-06 01:22:57,116 - mmseg - INFO - Iter [28950/160000] lr: 4.914e-05, eta: 9:13:38, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2362, decode.acc_seg: 91.2766, loss: 0.2362 2023-01-06 01:23:09,193 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 01:23:09,194 - mmseg - INFO - Iter [29000/160000] lr: 4.913e-05, eta: 9:13:23, time: 0.241, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2297, decode.acc_seg: 91.4727, loss: 0.2297 2023-01-06 01:23:23,899 - mmseg - INFO - Iter [29050/160000] lr: 4.911e-05, eta: 9:13:19, time: 0.294, data_time: 0.069, memory: 9544, decode.loss_ce: 0.2404, decode.acc_seg: 91.1559, loss: 0.2404 2023-01-06 01:23:36,408 - mmseg - INFO - Iter [29100/160000] lr: 4.909e-05, eta: 9:13:06, time: 0.250, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2609, decode.acc_seg: 90.6982, loss: 0.2609 2023-01-06 01:23:48,604 - mmseg - INFO - Iter [29150/160000] lr: 4.907e-05, eta: 9:12:51, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2448, decode.acc_seg: 91.1198, loss: 0.2448 2023-01-06 01:24:00,982 - mmseg - INFO - Iter [29200/160000] lr: 4.905e-05, eta: 9:12:37, time: 0.248, data_time: 0.011, memory: 9544, decode.loss_ce: 0.2300, decode.acc_seg: 91.2187, loss: 0.2300 2023-01-06 01:24:13,261 - mmseg - INFO - Iter [29250/160000] lr: 4.903e-05, eta: 9:12:23, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2571, decode.acc_seg: 90.6301, loss: 0.2571 2023-01-06 01:24:25,467 - mmseg - INFO - Iter [29300/160000] lr: 4.901e-05, eta: 9:12:08, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2273, decode.acc_seg: 91.2566, loss: 0.2273 2023-01-06 01:24:37,873 - mmseg - INFO - Iter [29350/160000] lr: 4.899e-05, eta: 9:11:54, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2376, decode.acc_seg: 91.4689, loss: 0.2376 2023-01-06 01:24:52,208 - mmseg - INFO - Iter [29400/160000] lr: 4.898e-05, eta: 9:11:49, time: 0.286, data_time: 0.069, memory: 9544, decode.loss_ce: 0.2322, decode.acc_seg: 91.4129, loss: 0.2322 2023-01-06 01:25:04,463 - mmseg - INFO - Iter [29450/160000] lr: 4.896e-05, eta: 9:11:34, time: 0.245, data_time: 0.013, memory: 9544, decode.loss_ce: 0.2384, decode.acc_seg: 91.3747, loss: 0.2384 2023-01-06 01:25:16,712 - mmseg - INFO - Iter [29500/160000] lr: 4.894e-05, eta: 9:11:19, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2488, decode.acc_seg: 90.7954, loss: 0.2488 2023-01-06 01:25:29,014 - mmseg - INFO - Iter [29550/160000] lr: 4.892e-05, eta: 9:11:05, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2340, decode.acc_seg: 91.3153, loss: 0.2340 2023-01-06 01:25:41,184 - mmseg - INFO - Iter [29600/160000] lr: 4.890e-05, eta: 9:10:50, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2260, decode.acc_seg: 91.3531, loss: 0.2260 2023-01-06 01:25:53,255 - mmseg - INFO - Iter [29650/160000] lr: 4.888e-05, eta: 9:10:35, time: 0.242, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2363, decode.acc_seg: 91.2936, loss: 0.2363 2023-01-06 01:26:05,817 - mmseg - INFO - Iter [29700/160000] lr: 4.886e-05, eta: 9:10:22, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2321, decode.acc_seg: 91.3710, loss: 0.2321 2023-01-06 01:26:17,939 - mmseg - INFO - Iter [29750/160000] lr: 4.884e-05, eta: 9:10:07, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2299, decode.acc_seg: 91.4147, loss: 0.2299 2023-01-06 01:26:32,626 - mmseg - INFO - Iter [29800/160000] lr: 4.883e-05, eta: 9:10:03, time: 0.294, data_time: 0.056, memory: 9544, decode.loss_ce: 0.2106, decode.acc_seg: 91.7753, loss: 0.2106 2023-01-06 01:26:44,828 - mmseg - INFO - Iter [29850/160000] lr: 4.881e-05, eta: 9:09:48, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2294, decode.acc_seg: 91.3297, loss: 0.2294 2023-01-06 01:26:57,104 - mmseg - INFO - Iter [29900/160000] lr: 4.879e-05, eta: 9:09:34, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2466, decode.acc_seg: 90.9664, loss: 0.2466 2023-01-06 01:27:09,403 - mmseg - INFO - Iter [29950/160000] lr: 4.877e-05, eta: 9:09:19, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2529, decode.acc_seg: 91.0156, loss: 0.2529 2023-01-06 01:27:21,595 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 01:27:21,597 - mmseg - INFO - Iter [30000/160000] lr: 4.875e-05, eta: 9:09:05, time: 0.244, data_time: 0.012, memory: 9544, decode.loss_ce: 0.2299, decode.acc_seg: 91.3815, loss: 0.2299 2023-01-06 01:27:34,190 - mmseg - INFO - Iter [30050/160000] lr: 4.873e-05, eta: 9:08:52, time: 0.252, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2493, decode.acc_seg: 90.9034, loss: 0.2493 2023-01-06 01:27:46,446 - mmseg - INFO - Iter [30100/160000] lr: 4.871e-05, eta: 9:08:37, time: 0.246, data_time: 0.011, memory: 9544, decode.loss_ce: 0.2642, decode.acc_seg: 90.4222, loss: 0.2642 2023-01-06 01:28:01,030 - mmseg - INFO - Iter [30150/160000] lr: 4.869e-05, eta: 9:08:33, time: 0.292, data_time: 0.055, memory: 9544, decode.loss_ce: 0.2414, decode.acc_seg: 91.3512, loss: 0.2414 2023-01-06 01:28:13,299 - mmseg - INFO - Iter [30200/160000] lr: 4.868e-05, eta: 9:08:18, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2523, decode.acc_seg: 90.6455, loss: 0.2523 2023-01-06 01:28:25,549 - mmseg - INFO - Iter [30250/160000] lr: 4.866e-05, eta: 9:08:04, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2175, decode.acc_seg: 92.0412, loss: 0.2175 2023-01-06 01:28:38,059 - mmseg - INFO - Iter [30300/160000] lr: 4.864e-05, eta: 9:07:50, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2464, decode.acc_seg: 90.9272, loss: 0.2464 2023-01-06 01:28:50,311 - mmseg - INFO - Iter [30350/160000] lr: 4.862e-05, eta: 9:07:36, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2262, decode.acc_seg: 91.3143, loss: 0.2262 2023-01-06 01:29:02,576 - mmseg - INFO - Iter [30400/160000] lr: 4.860e-05, eta: 9:07:22, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2384, decode.acc_seg: 90.9636, loss: 0.2384 2023-01-06 01:29:14,831 - mmseg - INFO - Iter [30450/160000] lr: 4.858e-05, eta: 9:07:07, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2134, decode.acc_seg: 92.0939, loss: 0.2134 2023-01-06 01:29:27,229 - mmseg - INFO - Iter [30500/160000] lr: 4.856e-05, eta: 9:06:53, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2365, decode.acc_seg: 91.2763, loss: 0.2365 2023-01-06 01:29:41,808 - mmseg - INFO - Iter [30550/160000] lr: 4.854e-05, eta: 9:06:49, time: 0.292, data_time: 0.054, memory: 9544, decode.loss_ce: 0.2147, decode.acc_seg: 91.7658, loss: 0.2147 2023-01-06 01:29:54,151 - mmseg - INFO - Iter [30600/160000] lr: 4.853e-05, eta: 9:06:35, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2505, decode.acc_seg: 90.7561, loss: 0.2505 2023-01-06 01:30:06,302 - mmseg - INFO - Iter [30650/160000] lr: 4.851e-05, eta: 9:06:20, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2477, decode.acc_seg: 91.0240, loss: 0.2477 2023-01-06 01:30:18,486 - mmseg - INFO - Iter [30700/160000] lr: 4.849e-05, eta: 9:06:05, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2616, decode.acc_seg: 90.6798, loss: 0.2616 2023-01-06 01:30:31,025 - mmseg - INFO - Iter [30750/160000] lr: 4.847e-05, eta: 9:05:52, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2448, decode.acc_seg: 91.1206, loss: 0.2448 2023-01-06 01:30:43,304 - mmseg - INFO - Iter [30800/160000] lr: 4.845e-05, eta: 9:05:38, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2481, decode.acc_seg: 91.1524, loss: 0.2481 2023-01-06 01:30:55,455 - mmseg - INFO - Iter [30850/160000] lr: 4.843e-05, eta: 9:05:23, time: 0.243, data_time: 0.018, memory: 9544, decode.loss_ce: 0.2363, decode.acc_seg: 91.3781, loss: 0.2363 2023-01-06 01:31:09,946 - mmseg - INFO - Iter [30900/160000] lr: 4.841e-05, eta: 9:05:18, time: 0.290, data_time: 0.073, memory: 9544, decode.loss_ce: 0.2298, decode.acc_seg: 91.5695, loss: 0.2298 2023-01-06 01:31:22,335 - mmseg - INFO - Iter [30950/160000] lr: 4.839e-05, eta: 9:05:04, time: 0.248, data_time: 0.063, memory: 9544, decode.loss_ce: 0.2348, decode.acc_seg: 91.5056, loss: 0.2348 2023-01-06 01:31:34,574 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 01:31:34,575 - mmseg - INFO - Iter [31000/160000] lr: 4.838e-05, eta: 9:04:49, time: 0.245, data_time: 0.012, memory: 9544, decode.loss_ce: 0.2022, decode.acc_seg: 92.4543, loss: 0.2022 2023-01-06 01:31:47,071 - mmseg - INFO - Iter [31050/160000] lr: 4.836e-05, eta: 9:04:36, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2261, decode.acc_seg: 91.8813, loss: 0.2261 2023-01-06 01:31:59,404 - mmseg - INFO - Iter [31100/160000] lr: 4.834e-05, eta: 9:04:22, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2348, decode.acc_seg: 91.2770, loss: 0.2348 2023-01-06 01:32:11,881 - mmseg - INFO - Iter [31150/160000] lr: 4.832e-05, eta: 9:04:08, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2273, decode.acc_seg: 91.6481, loss: 0.2273 2023-01-06 01:32:24,414 - mmseg - INFO - Iter [31200/160000] lr: 4.830e-05, eta: 9:03:55, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2408, decode.acc_seg: 90.8315, loss: 0.2408 2023-01-06 01:32:39,067 - mmseg - INFO - Iter [31250/160000] lr: 4.828e-05, eta: 9:03:51, time: 0.293, data_time: 0.057, memory: 9544, decode.loss_ce: 0.2502, decode.acc_seg: 90.6643, loss: 0.2502 2023-01-06 01:32:51,481 - mmseg - INFO - Iter [31300/160000] lr: 4.826e-05, eta: 9:03:37, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2249, decode.acc_seg: 91.6657, loss: 0.2249 2023-01-06 01:33:03,950 - mmseg - INFO - Iter [31350/160000] lr: 4.824e-05, eta: 9:03:23, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2212, decode.acc_seg: 91.8597, loss: 0.2212 2023-01-06 01:33:16,391 - mmseg - INFO - Iter [31400/160000] lr: 4.823e-05, eta: 9:03:10, time: 0.249, data_time: 0.062, memory: 9544, decode.loss_ce: 0.2335, decode.acc_seg: 91.2886, loss: 0.2335 2023-01-06 01:33:29,358 - mmseg - INFO - Iter [31450/160000] lr: 4.821e-05, eta: 9:02:58, time: 0.260, data_time: 0.067, memory: 9544, decode.loss_ce: 0.2347, decode.acc_seg: 91.3215, loss: 0.2347 2023-01-06 01:33:41,830 - mmseg - INFO - Iter [31500/160000] lr: 4.819e-05, eta: 9:02:45, time: 0.249, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2232, decode.acc_seg: 91.6031, loss: 0.2232 2023-01-06 01:33:54,345 - mmseg - INFO - Iter [31550/160000] lr: 4.817e-05, eta: 9:02:32, time: 0.251, data_time: 0.042, memory: 9544, decode.loss_ce: 0.2252, decode.acc_seg: 91.5123, loss: 0.2252 2023-01-06 01:34:06,968 - mmseg - INFO - Iter [31600/160000] lr: 4.815e-05, eta: 9:02:19, time: 0.252, data_time: 0.068, memory: 9544, decode.loss_ce: 0.2257, decode.acc_seg: 91.5721, loss: 0.2257 2023-01-06 01:34:21,725 - mmseg - INFO - Iter [31650/160000] lr: 4.813e-05, eta: 9:02:15, time: 0.295, data_time: 0.056, memory: 9544, decode.loss_ce: 0.2345, decode.acc_seg: 91.3061, loss: 0.2345 2023-01-06 01:34:34,022 - mmseg - INFO - Iter [31700/160000] lr: 4.811e-05, eta: 9:02:00, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2319, decode.acc_seg: 91.3492, loss: 0.2319 2023-01-06 01:34:46,135 - mmseg - INFO - Iter [31750/160000] lr: 4.809e-05, eta: 9:01:45, time: 0.242, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2188, decode.acc_seg: 91.7059, loss: 0.2188 2023-01-06 01:34:58,421 - mmseg - INFO - Iter [31800/160000] lr: 4.808e-05, eta: 9:01:31, time: 0.246, data_time: 0.026, memory: 9544, decode.loss_ce: 0.2343, decode.acc_seg: 91.1567, loss: 0.2343 2023-01-06 01:35:10,900 - mmseg - INFO - Iter [31850/160000] lr: 4.806e-05, eta: 9:01:18, time: 0.250, data_time: 0.065, memory: 9544, decode.loss_ce: 0.2241, decode.acc_seg: 91.5978, loss: 0.2241 2023-01-06 01:35:23,135 - mmseg - INFO - Iter [31900/160000] lr: 4.804e-05, eta: 9:01:03, time: 0.244, data_time: 0.073, memory: 9544, decode.loss_ce: 0.2264, decode.acc_seg: 91.9310, loss: 0.2264 2023-01-06 01:35:35,477 - mmseg - INFO - Iter [31950/160000] lr: 4.802e-05, eta: 9:00:49, time: 0.247, data_time: 0.016, memory: 9544, decode.loss_ce: 0.2222, decode.acc_seg: 91.8435, loss: 0.2222 2023-01-06 01:35:49,998 - mmseg - INFO - Saving checkpoint at 32000 iterations 2023-01-06 01:35:51,033 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 01:35:51,033 - mmseg - INFO - Iter [32000/160000] lr: 4.800e-05, eta: 9:00:48, time: 0.311, data_time: 0.056, memory: 9544, decode.loss_ce: 0.2306, decode.acc_seg: 91.3415, loss: 0.2306 2023-01-06 01:36:09,180 - mmseg - INFO - per class results: 2023-01-06 01:36:09,182 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 95.59 | 98.32 | | sidewalk | 67.84 | 75.89 | | building | 85.39 | 92.64 | | wall | 30.17 | 36.33 | | fence | 24.03 | 26.23 | | pole | 43.32 | 53.45 | | traffic light | 40.03 | 46.72 | | traffic sign | 54.05 | 60.68 | | vegetation | 87.64 | 96.93 | | terrain | 50.7 | 61.58 | | sky | 91.44 | 97.01 | | person | 55.7 | 87.11 | | rider | 5.01 | 5.15 | | car | 86.62 | 95.04 | | truck | 19.58 | 23.64 | | bus | 35.96 | 43.99 | | train | 10.63 | 13.59 | | motorcycle | 11.37 | 12.09 | | bicycle | 57.64 | 67.91 | +---------------+-------+-------+ 2023-01-06 01:36:09,183 - mmseg - INFO - Summary: 2023-01-06 01:36:09,183 - mmseg - INFO - +-------+-------+------+ | aAcc | mIoU | mAcc | +-------+-------+------+ | 91.84 | 50.14 | 57.6 | +-------+-------+------+ 2023-01-06 01:36:09,184 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 01:36:09,184 - mmseg - INFO - Iter(val) [63] aAcc: 0.9184, mIoU: 0.5014, mAcc: 0.5760, IoU.road: 0.9559, IoU.sidewalk: 0.6784, IoU.building: 0.8539, IoU.wall: 0.3017, IoU.fence: 0.2403, IoU.pole: 0.4332, IoU.traffic light: 0.4003, IoU.traffic sign: 0.5405, IoU.vegetation: 0.8764, IoU.terrain: 0.5070, IoU.sky: 0.9144, IoU.person: 0.5570, IoU.rider: 0.0501, IoU.car: 0.8662, IoU.truck: 0.1958, IoU.bus: 0.3596, IoU.train: 0.1063, IoU.motorcycle: 0.1137, IoU.bicycle: 0.5764, Acc.road: 0.9832, Acc.sidewalk: 0.7589, Acc.building: 0.9264, Acc.wall: 0.3633, Acc.fence: 0.2623, Acc.pole: 0.5345, Acc.traffic light: 0.4672, Acc.traffic sign: 0.6068, Acc.vegetation: 0.9693, Acc.terrain: 0.6158, Acc.sky: 0.9701, Acc.person: 0.8711, Acc.rider: 0.0515, Acc.car: 0.9504, Acc.truck: 0.2364, Acc.bus: 0.4399, Acc.train: 0.1359, Acc.motorcycle: 0.1209, Acc.bicycle: 0.6791 2023-01-06 01:36:21,419 - mmseg - INFO - Iter [32050/160000] lr: 4.798e-05, eta: 9:01:46, time: 0.608, data_time: 0.372, memory: 9544, decode.loss_ce: 0.2151, decode.acc_seg: 91.9509, loss: 0.2151 2023-01-06 01:36:33,612 - mmseg - INFO - Iter [32100/160000] lr: 4.796e-05, eta: 9:01:31, time: 0.244, data_time: 0.015, memory: 9544, decode.loss_ce: 0.2300, decode.acc_seg: 91.6072, loss: 0.2300 2023-01-06 01:36:46,030 - mmseg - INFO - Iter [32150/160000] lr: 4.794e-05, eta: 9:01:18, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2617, decode.acc_seg: 90.9693, loss: 0.2617 2023-01-06 01:36:58,327 - mmseg - INFO - Iter [32200/160000] lr: 4.793e-05, eta: 9:01:03, time: 0.246, data_time: 0.018, memory: 9544, decode.loss_ce: 0.2513, decode.acc_seg: 90.8492, loss: 0.2513 2023-01-06 01:37:10,483 - mmseg - INFO - Iter [32250/160000] lr: 4.791e-05, eta: 9:00:48, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2431, decode.acc_seg: 91.0987, loss: 0.2431 2023-01-06 01:37:22,564 - mmseg - INFO - Iter [32300/160000] lr: 4.789e-05, eta: 9:00:33, time: 0.241, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2602, decode.acc_seg: 90.6288, loss: 0.2602 2023-01-06 01:37:35,232 - mmseg - INFO - Iter [32350/160000] lr: 4.787e-05, eta: 9:00:20, time: 0.254, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2270, decode.acc_seg: 91.5128, loss: 0.2270 2023-01-06 01:37:49,773 - mmseg - INFO - Iter [32400/160000] lr: 4.785e-05, eta: 9:00:15, time: 0.291, data_time: 0.057, memory: 9544, decode.loss_ce: 0.2057, decode.acc_seg: 92.1073, loss: 0.2057 2023-01-06 01:38:02,004 - mmseg - INFO - Iter [32450/160000] lr: 4.783e-05, eta: 9:00:00, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2155, decode.acc_seg: 91.7540, loss: 0.2155 2023-01-06 01:38:14,114 - mmseg - INFO - Iter [32500/160000] lr: 4.781e-05, eta: 8:59:45, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2435, decode.acc_seg: 90.8032, loss: 0.2435 2023-01-06 01:38:26,582 - mmseg - INFO - Iter [32550/160000] lr: 4.779e-05, eta: 8:59:32, time: 0.249, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2322, decode.acc_seg: 91.5636, loss: 0.2322 2023-01-06 01:38:38,908 - mmseg - INFO - Iter [32600/160000] lr: 4.778e-05, eta: 8:59:18, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2412, decode.acc_seg: 91.2690, loss: 0.2412 2023-01-06 01:38:51,288 - mmseg - INFO - Iter [32650/160000] lr: 4.776e-05, eta: 8:59:04, time: 0.248, data_time: 0.011, memory: 9544, decode.loss_ce: 0.2388, decode.acc_seg: 91.4133, loss: 0.2388 2023-01-06 01:39:03,641 - mmseg - INFO - Iter [32700/160000] lr: 4.774e-05, eta: 8:58:50, time: 0.247, data_time: 0.041, memory: 9544, decode.loss_ce: 0.2335, decode.acc_seg: 91.3865, loss: 0.2335 2023-01-06 01:39:18,202 - mmseg - INFO - Iter [32750/160000] lr: 4.772e-05, eta: 8:58:44, time: 0.291, data_time: 0.071, memory: 9544, decode.loss_ce: 0.2238, decode.acc_seg: 91.6201, loss: 0.2238 2023-01-06 01:39:30,388 - mmseg - INFO - Iter [32800/160000] lr: 4.770e-05, eta: 8:58:29, time: 0.244, data_time: 0.019, memory: 9544, decode.loss_ce: 0.2146, decode.acc_seg: 91.9564, loss: 0.2146 2023-01-06 01:39:42,776 - mmseg - INFO - Iter [32850/160000] lr: 4.768e-05, eta: 8:58:16, time: 0.248, data_time: 0.054, memory: 9544, decode.loss_ce: 0.2212, decode.acc_seg: 91.9091, loss: 0.2212 2023-01-06 01:39:54,935 - mmseg - INFO - Iter [32900/160000] lr: 4.766e-05, eta: 8:58:01, time: 0.243, data_time: 0.019, memory: 9544, decode.loss_ce: 0.2339, decode.acc_seg: 91.3221, loss: 0.2339 2023-01-06 01:40:07,349 - mmseg - INFO - Iter [32950/160000] lr: 4.764e-05, eta: 8:57:47, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2375, decode.acc_seg: 91.3533, loss: 0.2375 2023-01-06 01:40:19,863 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 01:40:19,864 - mmseg - INFO - Iter [33000/160000] lr: 4.763e-05, eta: 8:57:34, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2329, decode.acc_seg: 91.5158, loss: 0.2329 2023-01-06 01:40:32,284 - mmseg - INFO - Iter [33050/160000] lr: 4.761e-05, eta: 8:57:20, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2100, decode.acc_seg: 92.1097, loss: 0.2100 2023-01-06 01:40:44,603 - mmseg - INFO - Iter [33100/160000] lr: 4.759e-05, eta: 8:57:06, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2256, decode.acc_seg: 91.5458, loss: 0.2256 2023-01-06 01:40:59,298 - mmseg - INFO - Iter [33150/160000] lr: 4.757e-05, eta: 8:57:01, time: 0.294, data_time: 0.056, memory: 9544, decode.loss_ce: 0.2394, decode.acc_seg: 91.3108, loss: 0.2394 2023-01-06 01:41:11,417 - mmseg - INFO - Iter [33200/160000] lr: 4.755e-05, eta: 8:56:46, time: 0.242, data_time: 0.042, memory: 9544, decode.loss_ce: 0.2248, decode.acc_seg: 91.6771, loss: 0.2248 2023-01-06 01:41:23,618 - mmseg - INFO - Iter [33250/160000] lr: 4.753e-05, eta: 8:56:31, time: 0.244, data_time: 0.038, memory: 9544, decode.loss_ce: 0.2224, decode.acc_seg: 91.7678, loss: 0.2224 2023-01-06 01:41:35,795 - mmseg - INFO - Iter [33300/160000] lr: 4.751e-05, eta: 8:56:16, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2351, decode.acc_seg: 91.3100, loss: 0.2351 2023-01-06 01:41:48,140 - mmseg - INFO - Iter [33350/160000] lr: 4.749e-05, eta: 8:56:02, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2296, decode.acc_seg: 91.7561, loss: 0.2296 2023-01-06 01:42:00,411 - mmseg - INFO - Iter [33400/160000] lr: 4.748e-05, eta: 8:55:48, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2378, decode.acc_seg: 91.1290, loss: 0.2378 2023-01-06 01:42:12,655 - mmseg - INFO - Iter [33450/160000] lr: 4.746e-05, eta: 8:55:34, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2325, decode.acc_seg: 91.2351, loss: 0.2325 2023-01-06 01:42:27,359 - mmseg - INFO - Iter [33500/160000] lr: 4.744e-05, eta: 8:55:28, time: 0.294, data_time: 0.071, memory: 9544, decode.loss_ce: 0.2197, decode.acc_seg: 91.7690, loss: 0.2197 2023-01-06 01:42:39,489 - mmseg - INFO - Iter [33550/160000] lr: 4.742e-05, eta: 8:55:14, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2315, decode.acc_seg: 91.4892, loss: 0.2315 2023-01-06 01:42:51,877 - mmseg - INFO - Iter [33600/160000] lr: 4.740e-05, eta: 8:55:00, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2501, decode.acc_seg: 90.9052, loss: 0.2501 2023-01-06 01:43:04,149 - mmseg - INFO - Iter [33650/160000] lr: 4.738e-05, eta: 8:54:45, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2316, decode.acc_seg: 91.5438, loss: 0.2316 2023-01-06 01:43:16,433 - mmseg - INFO - Iter [33700/160000] lr: 4.736e-05, eta: 8:54:31, time: 0.246, data_time: 0.011, memory: 9544, decode.loss_ce: 0.2378, decode.acc_seg: 91.0993, loss: 0.2378 2023-01-06 01:43:28,673 - mmseg - INFO - Iter [33750/160000] lr: 4.734e-05, eta: 8:54:17, time: 0.245, data_time: 0.053, memory: 9544, decode.loss_ce: 0.2289, decode.acc_seg: 91.1326, loss: 0.2289 2023-01-06 01:43:40,786 - mmseg - INFO - Iter [33800/160000] lr: 4.733e-05, eta: 8:54:02, time: 0.242, data_time: 0.019, memory: 9544, decode.loss_ce: 0.2147, decode.acc_seg: 91.9611, loss: 0.2147 2023-01-06 01:43:53,104 - mmseg - INFO - Iter [33850/160000] lr: 4.731e-05, eta: 8:53:48, time: 0.246, data_time: 0.029, memory: 9544, decode.loss_ce: 0.2312, decode.acc_seg: 91.3326, loss: 0.2312 2023-01-06 01:44:07,837 - mmseg - INFO - Iter [33900/160000] lr: 4.729e-05, eta: 8:53:43, time: 0.295, data_time: 0.056, memory: 9544, decode.loss_ce: 0.2180, decode.acc_seg: 91.4425, loss: 0.2180 2023-01-06 01:44:20,075 - mmseg - INFO - Iter [33950/160000] lr: 4.727e-05, eta: 8:53:28, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2183, decode.acc_seg: 91.5751, loss: 0.2183 2023-01-06 01:44:32,129 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 01:44:32,130 - mmseg - INFO - Iter [34000/160000] lr: 4.725e-05, eta: 8:53:13, time: 0.241, data_time: 0.040, memory: 9544, decode.loss_ce: 0.2250, decode.acc_seg: 91.5196, loss: 0.2250 2023-01-06 01:44:44,610 - mmseg - INFO - Iter [34050/160000] lr: 4.723e-05, eta: 8:53:00, time: 0.250, data_time: 0.014, memory: 9544, decode.loss_ce: 0.2191, decode.acc_seg: 91.6318, loss: 0.2191 2023-01-06 01:44:56,929 - mmseg - INFO - Iter [34100/160000] lr: 4.721e-05, eta: 8:52:46, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2105, decode.acc_seg: 92.0218, loss: 0.2105 2023-01-06 01:45:09,232 - mmseg - INFO - Iter [34150/160000] lr: 4.719e-05, eta: 8:52:31, time: 0.246, data_time: 0.011, memory: 9544, decode.loss_ce: 0.2360, decode.acc_seg: 91.3397, loss: 0.2360 2023-01-06 01:45:21,363 - mmseg - INFO - Iter [34200/160000] lr: 4.718e-05, eta: 8:52:17, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2219, decode.acc_seg: 91.7986, loss: 0.2219 2023-01-06 01:45:35,829 - mmseg - INFO - Iter [34250/160000] lr: 4.716e-05, eta: 8:52:10, time: 0.289, data_time: 0.080, memory: 9544, decode.loss_ce: 0.2103, decode.acc_seg: 92.0190, loss: 0.2103 2023-01-06 01:45:48,098 - mmseg - INFO - Iter [34300/160000] lr: 4.714e-05, eta: 8:51:56, time: 0.246, data_time: 0.018, memory: 9544, decode.loss_ce: 0.2196, decode.acc_seg: 91.8353, loss: 0.2196 2023-01-06 01:46:00,330 - mmseg - INFO - Iter [34350/160000] lr: 4.712e-05, eta: 8:51:42, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2483, decode.acc_seg: 90.9127, loss: 0.2483 2023-01-06 01:46:12,521 - mmseg - INFO - Iter [34400/160000] lr: 4.710e-05, eta: 8:51:27, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2116, decode.acc_seg: 92.1924, loss: 0.2116 2023-01-06 01:46:24,913 - mmseg - INFO - Iter [34450/160000] lr: 4.708e-05, eta: 8:51:13, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2270, decode.acc_seg: 91.5393, loss: 0.2270 2023-01-06 01:46:37,613 - mmseg - INFO - Iter [34500/160000] lr: 4.706e-05, eta: 8:51:01, time: 0.254, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2101, decode.acc_seg: 92.0000, loss: 0.2101 2023-01-06 01:46:49,898 - mmseg - INFO - Iter [34550/160000] lr: 4.704e-05, eta: 8:50:47, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2350, decode.acc_seg: 91.3937, loss: 0.2350 2023-01-06 01:47:04,741 - mmseg - INFO - Iter [34600/160000] lr: 4.703e-05, eta: 8:50:42, time: 0.297, data_time: 0.058, memory: 9544, decode.loss_ce: 0.2220, decode.acc_seg: 91.7889, loss: 0.2220 2023-01-06 01:47:16,842 - mmseg - INFO - Iter [34650/160000] lr: 4.701e-05, eta: 8:50:27, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2260, decode.acc_seg: 91.5787, loss: 0.2260 2023-01-06 01:47:29,271 - mmseg - INFO - Iter [34700/160000] lr: 4.699e-05, eta: 8:50:13, time: 0.249, data_time: 0.020, memory: 9544, decode.loss_ce: 0.2367, decode.acc_seg: 91.4028, loss: 0.2367 2023-01-06 01:47:41,561 - mmseg - INFO - Iter [34750/160000] lr: 4.697e-05, eta: 8:49:59, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2218, decode.acc_seg: 91.7980, loss: 0.2218 2023-01-06 01:47:53,817 - mmseg - INFO - Iter [34800/160000] lr: 4.695e-05, eta: 8:49:45, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2302, decode.acc_seg: 91.4924, loss: 0.2302 2023-01-06 01:48:06,147 - mmseg - INFO - Iter [34850/160000] lr: 4.693e-05, eta: 8:49:31, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2397, decode.acc_seg: 91.3208, loss: 0.2397 2023-01-06 01:48:18,197 - mmseg - INFO - Iter [34900/160000] lr: 4.691e-05, eta: 8:49:16, time: 0.241, data_time: 0.061, memory: 9544, decode.loss_ce: 0.2380, decode.acc_seg: 91.2227, loss: 0.2380 2023-01-06 01:48:30,370 - mmseg - INFO - Iter [34950/160000] lr: 4.689e-05, eta: 8:49:01, time: 0.244, data_time: 0.042, memory: 9544, decode.loss_ce: 0.2329, decode.acc_seg: 91.3675, loss: 0.2329 2023-01-06 01:48:44,990 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 01:48:44,991 - mmseg - INFO - Iter [35000/160000] lr: 4.688e-05, eta: 8:48:55, time: 0.292, data_time: 0.078, memory: 9544, decode.loss_ce: 0.2340, decode.acc_seg: 91.6652, loss: 0.2340 2023-01-06 01:48:57,171 - mmseg - INFO - Iter [35050/160000] lr: 4.686e-05, eta: 8:48:41, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2257, decode.acc_seg: 91.3496, loss: 0.2257 2023-01-06 01:49:09,465 - mmseg - INFO - Iter [35100/160000] lr: 4.684e-05, eta: 8:48:27, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2201, decode.acc_seg: 91.7228, loss: 0.2201 2023-01-06 01:49:21,661 - mmseg - INFO - Iter [35150/160000] lr: 4.682e-05, eta: 8:48:12, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2314, decode.acc_seg: 91.3070, loss: 0.2314 2023-01-06 01:49:33,869 - mmseg - INFO - Iter [35200/160000] lr: 4.680e-05, eta: 8:47:58, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2300, decode.acc_seg: 91.2720, loss: 0.2300 2023-01-06 01:49:45,953 - mmseg - INFO - Iter [35250/160000] lr: 4.678e-05, eta: 8:47:43, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2181, decode.acc_seg: 91.6439, loss: 0.2181 2023-01-06 01:49:58,510 - mmseg - INFO - Iter [35300/160000] lr: 4.676e-05, eta: 8:47:30, time: 0.251, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2306, decode.acc_seg: 91.6513, loss: 0.2306 2023-01-06 01:50:13,027 - mmseg - INFO - Iter [35350/160000] lr: 4.674e-05, eta: 8:47:24, time: 0.290, data_time: 0.056, memory: 9544, decode.loss_ce: 0.2265, decode.acc_seg: 91.6655, loss: 0.2265 2023-01-06 01:50:25,211 - mmseg - INFO - Iter [35400/160000] lr: 4.673e-05, eta: 8:47:09, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2019, decode.acc_seg: 92.2618, loss: 0.2019 2023-01-06 01:50:37,567 - mmseg - INFO - Iter [35450/160000] lr: 4.671e-05, eta: 8:46:55, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1990, decode.acc_seg: 92.4197, loss: 0.1990 2023-01-06 01:50:49,902 - mmseg - INFO - Iter [35500/160000] lr: 4.669e-05, eta: 8:46:41, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2080, decode.acc_seg: 91.9635, loss: 0.2080 2023-01-06 01:51:02,074 - mmseg - INFO - Iter [35550/160000] lr: 4.667e-05, eta: 8:46:27, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2375, decode.acc_seg: 91.3536, loss: 0.2375 2023-01-06 01:51:14,724 - mmseg - INFO - Iter [35600/160000] lr: 4.665e-05, eta: 8:46:14, time: 0.253, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2213, decode.acc_seg: 91.3206, loss: 0.2213 2023-01-06 01:51:27,187 - mmseg - INFO - Iter [35650/160000] lr: 4.663e-05, eta: 8:46:01, time: 0.249, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2280, decode.acc_seg: 91.5463, loss: 0.2280 2023-01-06 01:51:39,530 - mmseg - INFO - Iter [35700/160000] lr: 4.661e-05, eta: 8:45:47, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2216, decode.acc_seg: 91.6596, loss: 0.2216 2023-01-06 01:51:53,914 - mmseg - INFO - Iter [35750/160000] lr: 4.659e-05, eta: 8:45:40, time: 0.288, data_time: 0.054, memory: 9544, decode.loss_ce: 0.2221, decode.acc_seg: 91.4031, loss: 0.2221 2023-01-06 01:52:06,287 - mmseg - INFO - Iter [35800/160000] lr: 4.658e-05, eta: 8:45:26, time: 0.247, data_time: 0.011, memory: 9544, decode.loss_ce: 0.2215, decode.acc_seg: 91.9753, loss: 0.2215 2023-01-06 01:52:18,343 - mmseg - INFO - Iter [35850/160000] lr: 4.656e-05, eta: 8:45:11, time: 0.241, data_time: 0.027, memory: 9544, decode.loss_ce: 0.2226, decode.acc_seg: 91.4673, loss: 0.2226 2023-01-06 01:52:30,785 - mmseg - INFO - Iter [35900/160000] lr: 4.654e-05, eta: 8:44:58, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2229, decode.acc_seg: 91.7865, loss: 0.2229 2023-01-06 01:52:43,073 - mmseg - INFO - Iter [35950/160000] lr: 4.652e-05, eta: 8:44:43, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2204, decode.acc_seg: 91.7149, loss: 0.2204 2023-01-06 01:52:55,428 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 01:52:55,428 - mmseg - INFO - Iter [36000/160000] lr: 4.650e-05, eta: 8:44:30, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2157, decode.acc_seg: 91.9881, loss: 0.2157 2023-01-06 01:53:07,510 - mmseg - INFO - Iter [36050/160000] lr: 4.648e-05, eta: 8:44:15, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2054, decode.acc_seg: 92.2949, loss: 0.2054 2023-01-06 01:53:22,010 - mmseg - INFO - Iter [36100/160000] lr: 4.646e-05, eta: 8:44:08, time: 0.290, data_time: 0.100, memory: 9544, decode.loss_ce: 0.2184, decode.acc_seg: 91.8962, loss: 0.2184 2023-01-06 01:53:34,400 - mmseg - INFO - Iter [36150/160000] lr: 4.644e-05, eta: 8:43:55, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2160, decode.acc_seg: 91.8279, loss: 0.2160 2023-01-06 01:53:46,570 - mmseg - INFO - Iter [36200/160000] lr: 4.643e-05, eta: 8:43:40, time: 0.243, data_time: 0.020, memory: 9544, decode.loss_ce: 0.1998, decode.acc_seg: 92.3447, loss: 0.1998 2023-01-06 01:53:58,949 - mmseg - INFO - Iter [36250/160000] lr: 4.641e-05, eta: 8:43:26, time: 0.247, data_time: 0.049, memory: 9544, decode.loss_ce: 0.1955, decode.acc_seg: 92.3998, loss: 0.1955 2023-01-06 01:54:11,340 - mmseg - INFO - Iter [36300/160000] lr: 4.639e-05, eta: 8:43:13, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2140, decode.acc_seg: 91.9897, loss: 0.2140 2023-01-06 01:54:23,714 - mmseg - INFO - Iter [36350/160000] lr: 4.637e-05, eta: 8:42:59, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2415, decode.acc_seg: 91.2124, loss: 0.2415 2023-01-06 01:54:35,835 - mmseg - INFO - Iter [36400/160000] lr: 4.635e-05, eta: 8:42:44, time: 0.242, data_time: 0.067, memory: 9544, decode.loss_ce: 0.2447, decode.acc_seg: 90.9492, loss: 0.2447 2023-01-06 01:54:48,511 - mmseg - INFO - Iter [36450/160000] lr: 4.633e-05, eta: 8:42:32, time: 0.253, data_time: 0.011, memory: 9544, decode.loss_ce: 0.2058, decode.acc_seg: 92.4144, loss: 0.2058 2023-01-06 01:55:03,301 - mmseg - INFO - Iter [36500/160000] lr: 4.631e-05, eta: 8:42:26, time: 0.296, data_time: 0.061, memory: 9544, decode.loss_ce: 0.2332, decode.acc_seg: 91.4285, loss: 0.2332 2023-01-06 01:55:15,462 - mmseg - INFO - Iter [36550/160000] lr: 4.629e-05, eta: 8:42:12, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2246, decode.acc_seg: 91.5888, loss: 0.2246 2023-01-06 01:55:27,576 - mmseg - INFO - Iter [36600/160000] lr: 4.628e-05, eta: 8:41:57, time: 0.242, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2274, decode.acc_seg: 91.4600, loss: 0.2274 2023-01-06 01:55:39,855 - mmseg - INFO - Iter [36650/160000] lr: 4.626e-05, eta: 8:41:43, time: 0.246, data_time: 0.013, memory: 9544, decode.loss_ce: 0.2307, decode.acc_seg: 91.5194, loss: 0.2307 2023-01-06 01:55:52,068 - mmseg - INFO - Iter [36700/160000] lr: 4.624e-05, eta: 8:41:29, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2157, decode.acc_seg: 91.6158, loss: 0.2157 2023-01-06 01:56:04,562 - mmseg - INFO - Iter [36750/160000] lr: 4.622e-05, eta: 8:41:15, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1998, decode.acc_seg: 92.5561, loss: 0.1998 2023-01-06 01:56:16,777 - mmseg - INFO - Iter [36800/160000] lr: 4.620e-05, eta: 8:41:01, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2345, decode.acc_seg: 91.5306, loss: 0.2345 2023-01-06 01:56:31,303 - mmseg - INFO - Iter [36850/160000] lr: 4.618e-05, eta: 8:40:54, time: 0.290, data_time: 0.058, memory: 9544, decode.loss_ce: 0.2244, decode.acc_seg: 91.8677, loss: 0.2244 2023-01-06 01:56:43,726 - mmseg - INFO - Iter [36900/160000] lr: 4.616e-05, eta: 8:40:41, time: 0.249, data_time: 0.052, memory: 9544, decode.loss_ce: 0.2243, decode.acc_seg: 91.7145, loss: 0.2243 2023-01-06 01:56:55,890 - mmseg - INFO - Iter [36950/160000] lr: 4.614e-05, eta: 8:40:26, time: 0.243, data_time: 0.045, memory: 9544, decode.loss_ce: 0.2186, decode.acc_seg: 91.6373, loss: 0.2186 2023-01-06 01:57:08,387 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 01:57:08,388 - mmseg - INFO - Iter [37000/160000] lr: 4.613e-05, eta: 8:40:13, time: 0.250, data_time: 0.082, memory: 9544, decode.loss_ce: 0.2273, decode.acc_seg: 91.6587, loss: 0.2273 2023-01-06 01:57:20,854 - mmseg - INFO - Iter [37050/160000] lr: 4.611e-05, eta: 8:40:00, time: 0.249, data_time: 0.015, memory: 9544, decode.loss_ce: 0.2259, decode.acc_seg: 91.6303, loss: 0.2259 2023-01-06 01:57:32,886 - mmseg - INFO - Iter [37100/160000] lr: 4.609e-05, eta: 8:39:45, time: 0.241, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2157, decode.acc_seg: 92.0763, loss: 0.2157 2023-01-06 01:57:45,054 - mmseg - INFO - Iter [37150/160000] lr: 4.607e-05, eta: 8:39:30, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2279, decode.acc_seg: 91.4056, loss: 0.2279 2023-01-06 01:57:57,445 - mmseg - INFO - Iter [37200/160000] lr: 4.605e-05, eta: 8:39:17, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2325, decode.acc_seg: 91.1277, loss: 0.2325 2023-01-06 01:58:11,866 - mmseg - INFO - Iter [37250/160000] lr: 4.603e-05, eta: 8:39:10, time: 0.288, data_time: 0.056, memory: 9544, decode.loss_ce: 0.2155, decode.acc_seg: 91.7413, loss: 0.2155 2023-01-06 01:58:24,111 - mmseg - INFO - Iter [37300/160000] lr: 4.601e-05, eta: 8:38:56, time: 0.245, data_time: 0.014, memory: 9544, decode.loss_ce: 0.2161, decode.acc_seg: 91.9940, loss: 0.2161 2023-01-06 01:58:36,560 - mmseg - INFO - Iter [37350/160000] lr: 4.599e-05, eta: 8:38:42, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2213, decode.acc_seg: 91.4779, loss: 0.2213 2023-01-06 01:58:48,672 - mmseg - INFO - Iter [37400/160000] lr: 4.598e-05, eta: 8:38:28, time: 0.242, data_time: 0.035, memory: 9544, decode.loss_ce: 0.2325, decode.acc_seg: 91.4898, loss: 0.2325 2023-01-06 01:59:01,047 - mmseg - INFO - Iter [37450/160000] lr: 4.596e-05, eta: 8:38:14, time: 0.248, data_time: 0.039, memory: 9544, decode.loss_ce: 0.2089, decode.acc_seg: 91.9802, loss: 0.2089 2023-01-06 01:59:13,581 - mmseg - INFO - Iter [37500/160000] lr: 4.594e-05, eta: 8:38:01, time: 0.251, data_time: 0.023, memory: 9544, decode.loss_ce: 0.2162, decode.acc_seg: 91.9020, loss: 0.2162 2023-01-06 01:59:25,730 - mmseg - INFO - Iter [37550/160000] lr: 4.592e-05, eta: 8:37:46, time: 0.243, data_time: 0.043, memory: 9544, decode.loss_ce: 0.2028, decode.acc_seg: 92.1135, loss: 0.2028 2023-01-06 01:59:40,309 - mmseg - INFO - Iter [37600/160000] lr: 4.590e-05, eta: 8:37:40, time: 0.291, data_time: 0.091, memory: 9544, decode.loss_ce: 0.2125, decode.acc_seg: 91.8987, loss: 0.2125 2023-01-06 01:59:52,544 - mmseg - INFO - Iter [37650/160000] lr: 4.588e-05, eta: 8:37:25, time: 0.245, data_time: 0.015, memory: 9544, decode.loss_ce: 0.2478, decode.acc_seg: 91.1752, loss: 0.2478 2023-01-06 02:00:04,870 - mmseg - INFO - Iter [37700/160000] lr: 4.586e-05, eta: 8:37:12, time: 0.247, data_time: 0.013, memory: 9544, decode.loss_ce: 0.2062, decode.acc_seg: 92.0309, loss: 0.2062 2023-01-06 02:00:17,168 - mmseg - INFO - Iter [37750/160000] lr: 4.584e-05, eta: 8:36:58, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2142, decode.acc_seg: 91.8785, loss: 0.2142 2023-01-06 02:00:29,715 - mmseg - INFO - Iter [37800/160000] lr: 4.583e-05, eta: 8:36:45, time: 0.251, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2181, decode.acc_seg: 91.8380, loss: 0.2181 2023-01-06 02:00:41,780 - mmseg - INFO - Iter [37850/160000] lr: 4.581e-05, eta: 8:36:30, time: 0.241, data_time: 0.050, memory: 9544, decode.loss_ce: 0.2237, decode.acc_seg: 91.6952, loss: 0.2237 2023-01-06 02:00:54,151 - mmseg - INFO - Iter [37900/160000] lr: 4.579e-05, eta: 8:36:16, time: 0.248, data_time: 0.012, memory: 9544, decode.loss_ce: 0.2064, decode.acc_seg: 92.0080, loss: 0.2064 2023-01-06 02:01:08,728 - mmseg - INFO - Iter [37950/160000] lr: 4.577e-05, eta: 8:36:10, time: 0.292, data_time: 0.057, memory: 9544, decode.loss_ce: 0.2192, decode.acc_seg: 91.6762, loss: 0.2192 2023-01-06 02:01:20,976 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 02:01:20,977 - mmseg - INFO - Iter [38000/160000] lr: 4.575e-05, eta: 8:35:55, time: 0.245, data_time: 0.065, memory: 9544, decode.loss_ce: 0.2123, decode.acc_seg: 91.6915, loss: 0.2123 2023-01-06 02:01:33,262 - mmseg - INFO - Iter [38050/160000] lr: 4.573e-05, eta: 8:35:41, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2085, decode.acc_seg: 92.1275, loss: 0.2085 2023-01-06 02:01:45,513 - mmseg - INFO - Iter [38100/160000] lr: 4.571e-05, eta: 8:35:27, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2195, decode.acc_seg: 91.9283, loss: 0.2195 2023-01-06 02:01:57,810 - mmseg - INFO - Iter [38150/160000] lr: 4.569e-05, eta: 8:35:13, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2379, decode.acc_seg: 91.5563, loss: 0.2379 2023-01-06 02:02:10,043 - mmseg - INFO - Iter [38200/160000] lr: 4.568e-05, eta: 8:34:59, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2075, decode.acc_seg: 92.0680, loss: 0.2075 2023-01-06 02:02:22,722 - mmseg - INFO - Iter [38250/160000] lr: 4.566e-05, eta: 8:34:47, time: 0.254, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2147, decode.acc_seg: 91.9750, loss: 0.2147 2023-01-06 02:02:35,315 - mmseg - INFO - Iter [38300/160000] lr: 4.564e-05, eta: 8:34:34, time: 0.252, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2126, decode.acc_seg: 91.8844, loss: 0.2126 2023-01-06 02:02:49,812 - mmseg - INFO - Iter [38350/160000] lr: 4.562e-05, eta: 8:34:27, time: 0.290, data_time: 0.084, memory: 9544, decode.loss_ce: 0.2279, decode.acc_seg: 91.4845, loss: 0.2279 2023-01-06 02:03:02,107 - mmseg - INFO - Iter [38400/160000] lr: 4.560e-05, eta: 8:34:13, time: 0.246, data_time: 0.063, memory: 9544, decode.loss_ce: 0.2053, decode.acc_seg: 92.3032, loss: 0.2053 2023-01-06 02:03:14,541 - mmseg - INFO - Iter [38450/160000] lr: 4.558e-05, eta: 8:33:59, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2101, decode.acc_seg: 91.8750, loss: 0.2101 2023-01-06 02:03:26,914 - mmseg - INFO - Iter [38500/160000] lr: 4.556e-05, eta: 8:33:46, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2085, decode.acc_seg: 92.2315, loss: 0.2085 2023-01-06 02:03:39,187 - mmseg - INFO - Iter [38550/160000] lr: 4.554e-05, eta: 8:33:32, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2239, decode.acc_seg: 91.8244, loss: 0.2239 2023-01-06 02:03:51,544 - mmseg - INFO - Iter [38600/160000] lr: 4.553e-05, eta: 8:33:18, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2202, decode.acc_seg: 91.7633, loss: 0.2202 2023-01-06 02:04:03,847 - mmseg - INFO - Iter [38650/160000] lr: 4.551e-05, eta: 8:33:04, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2327, decode.acc_seg: 91.3898, loss: 0.2327 2023-01-06 02:04:18,239 - mmseg - INFO - Iter [38700/160000] lr: 4.549e-05, eta: 8:32:57, time: 0.288, data_time: 0.055, memory: 9544, decode.loss_ce: 0.2155, decode.acc_seg: 92.0395, loss: 0.2155 2023-01-06 02:04:30,585 - mmseg - INFO - Iter [38750/160000] lr: 4.547e-05, eta: 8:32:43, time: 0.247, data_time: 0.013, memory: 9544, decode.loss_ce: 0.2305, decode.acc_seg: 91.3966, loss: 0.2305 2023-01-06 02:04:42,829 - mmseg - INFO - Iter [38800/160000] lr: 4.545e-05, eta: 8:32:29, time: 0.245, data_time: 0.019, memory: 9544, decode.loss_ce: 0.2254, decode.acc_seg: 91.4452, loss: 0.2254 2023-01-06 02:04:55,018 - mmseg - INFO - Iter [38850/160000] lr: 4.543e-05, eta: 8:32:15, time: 0.244, data_time: 0.069, memory: 9544, decode.loss_ce: 0.2109, decode.acc_seg: 92.0695, loss: 0.2109 2023-01-06 02:05:07,496 - mmseg - INFO - Iter [38900/160000] lr: 4.541e-05, eta: 8:32:01, time: 0.250, data_time: 0.080, memory: 9544, decode.loss_ce: 0.2275, decode.acc_seg: 91.7044, loss: 0.2275 2023-01-06 02:05:19,616 - mmseg - INFO - Iter [38950/160000] lr: 4.539e-05, eta: 8:31:47, time: 0.242, data_time: 0.079, memory: 9544, decode.loss_ce: 0.2042, decode.acc_seg: 92.2011, loss: 0.2042 2023-01-06 02:05:31,910 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 02:05:31,911 - mmseg - INFO - Iter [39000/160000] lr: 4.538e-05, eta: 8:31:33, time: 0.246, data_time: 0.079, memory: 9544, decode.loss_ce: 0.2146, decode.acc_seg: 92.0199, loss: 0.2146 2023-01-06 02:05:44,058 - mmseg - INFO - Iter [39050/160000] lr: 4.536e-05, eta: 8:31:19, time: 0.243, data_time: 0.036, memory: 9544, decode.loss_ce: 0.1914, decode.acc_seg: 92.6818, loss: 0.1914 2023-01-06 02:05:58,511 - mmseg - INFO - Iter [39100/160000] lr: 4.534e-05, eta: 8:31:11, time: 0.289, data_time: 0.066, memory: 9544, decode.loss_ce: 0.2023, decode.acc_seg: 92.4454, loss: 0.2023 2023-01-06 02:06:10,981 - mmseg - INFO - Iter [39150/160000] lr: 4.532e-05, eta: 8:30:58, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2513, decode.acc_seg: 90.6889, loss: 0.2513 2023-01-06 02:06:23,350 - mmseg - INFO - Iter [39200/160000] lr: 4.530e-05, eta: 8:30:44, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2121, decode.acc_seg: 91.9028, loss: 0.2121 2023-01-06 02:06:35,642 - mmseg - INFO - Iter [39250/160000] lr: 4.528e-05, eta: 8:30:31, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2238, decode.acc_seg: 91.7076, loss: 0.2238 2023-01-06 02:06:48,142 - mmseg - INFO - Iter [39300/160000] lr: 4.526e-05, eta: 8:30:17, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2233, decode.acc_seg: 91.7017, loss: 0.2233 2023-01-06 02:07:00,401 - mmseg - INFO - Iter [39350/160000] lr: 4.524e-05, eta: 8:30:03, time: 0.245, data_time: 0.011, memory: 9544, decode.loss_ce: 0.2029, decode.acc_seg: 92.4284, loss: 0.2029 2023-01-06 02:07:12,698 - mmseg - INFO - Iter [39400/160000] lr: 4.523e-05, eta: 8:29:49, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2101, decode.acc_seg: 92.0581, loss: 0.2101 2023-01-06 02:07:27,073 - mmseg - INFO - Iter [39450/160000] lr: 4.521e-05, eta: 8:29:42, time: 0.287, data_time: 0.067, memory: 9544, decode.loss_ce: 0.2233, decode.acc_seg: 91.7405, loss: 0.2233 2023-01-06 02:07:39,603 - mmseg - INFO - Iter [39500/160000] lr: 4.519e-05, eta: 8:29:29, time: 0.251, data_time: 0.013, memory: 9544, decode.loss_ce: 0.2132, decode.acc_seg: 92.0864, loss: 0.2132 2023-01-06 02:07:51,825 - mmseg - INFO - Iter [39550/160000] lr: 4.517e-05, eta: 8:29:15, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2274, decode.acc_seg: 91.3317, loss: 0.2274 2023-01-06 02:08:03,998 - mmseg - INFO - Iter [39600/160000] lr: 4.515e-05, eta: 8:29:00, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2391, decode.acc_seg: 91.1338, loss: 0.2391 2023-01-06 02:08:16,385 - mmseg - INFO - Iter [39650/160000] lr: 4.513e-05, eta: 8:28:47, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2270, decode.acc_seg: 91.5755, loss: 0.2270 2023-01-06 02:08:28,595 - mmseg - INFO - Iter [39700/160000] lr: 4.511e-05, eta: 8:28:33, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1934, decode.acc_seg: 92.4610, loss: 0.1934 2023-01-06 02:08:40,862 - mmseg - INFO - Iter [39750/160000] lr: 4.509e-05, eta: 8:28:19, time: 0.246, data_time: 0.011, memory: 9544, decode.loss_ce: 0.2393, decode.acc_seg: 91.1947, loss: 0.2393 2023-01-06 02:08:53,076 - mmseg - INFO - Iter [39800/160000] lr: 4.508e-05, eta: 8:28:05, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2109, decode.acc_seg: 92.2423, loss: 0.2109 2023-01-06 02:09:07,666 - mmseg - INFO - Iter [39850/160000] lr: 4.506e-05, eta: 8:27:58, time: 0.291, data_time: 0.076, memory: 9544, decode.loss_ce: 0.2161, decode.acc_seg: 92.0334, loss: 0.2161 2023-01-06 02:09:19,953 - mmseg - INFO - Iter [39900/160000] lr: 4.504e-05, eta: 8:27:44, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2130, decode.acc_seg: 91.9918, loss: 0.2130 2023-01-06 02:09:32,143 - mmseg - INFO - Iter [39950/160000] lr: 4.502e-05, eta: 8:27:30, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2081, decode.acc_seg: 92.2301, loss: 0.2081 2023-01-06 02:09:44,417 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 02:09:44,418 - mmseg - INFO - Iter [40000/160000] lr: 4.500e-05, eta: 8:27:16, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2320, decode.acc_seg: 91.5642, loss: 0.2320 2023-01-06 02:09:56,687 - mmseg - INFO - Iter [40050/160000] lr: 4.498e-05, eta: 8:27:02, time: 0.246, data_time: 0.022, memory: 9544, decode.loss_ce: 0.2046, decode.acc_seg: 92.2597, loss: 0.2046 2023-01-06 02:10:08,953 - mmseg - INFO - Iter [40100/160000] lr: 4.496e-05, eta: 8:26:48, time: 0.245, data_time: 0.042, memory: 9544, decode.loss_ce: 0.2208, decode.acc_seg: 91.7811, loss: 0.2208 2023-01-06 02:10:21,263 - mmseg - INFO - Iter [40150/160000] lr: 4.494e-05, eta: 8:26:34, time: 0.246, data_time: 0.012, memory: 9544, decode.loss_ce: 0.2117, decode.acc_seg: 92.1737, loss: 0.2117 2023-01-06 02:10:35,806 - mmseg - INFO - Iter [40200/160000] lr: 4.493e-05, eta: 8:26:27, time: 0.291, data_time: 0.065, memory: 9544, decode.loss_ce: 0.2351, decode.acc_seg: 91.2319, loss: 0.2351 2023-01-06 02:10:48,169 - mmseg - INFO - Iter [40250/160000] lr: 4.491e-05, eta: 8:26:13, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1997, decode.acc_seg: 92.2975, loss: 0.1997 2023-01-06 02:11:00,381 - mmseg - INFO - Iter [40300/160000] lr: 4.489e-05, eta: 8:25:59, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2076, decode.acc_seg: 92.1013, loss: 0.2076 2023-01-06 02:11:12,637 - mmseg - INFO - Iter [40350/160000] lr: 4.487e-05, eta: 8:25:45, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1995, decode.acc_seg: 92.5438, loss: 0.1995 2023-01-06 02:11:25,125 - mmseg - INFO - Iter [40400/160000] lr: 4.485e-05, eta: 8:25:32, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2398, decode.acc_seg: 90.9745, loss: 0.2398 2023-01-06 02:11:37,607 - mmseg - INFO - Iter [40450/160000] lr: 4.483e-05, eta: 8:25:19, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2292, decode.acc_seg: 91.5509, loss: 0.2292 2023-01-06 02:11:49,854 - mmseg - INFO - Iter [40500/160000] lr: 4.481e-05, eta: 8:25:05, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2082, decode.acc_seg: 92.1438, loss: 0.2082 2023-01-06 02:12:04,295 - mmseg - INFO - Iter [40550/160000] lr: 4.479e-05, eta: 8:24:57, time: 0.289, data_time: 0.072, memory: 9544, decode.loss_ce: 0.2368, decode.acc_seg: 91.4584, loss: 0.2368 2023-01-06 02:12:16,801 - mmseg - INFO - Iter [40600/160000] lr: 4.478e-05, eta: 8:24:44, time: 0.250, data_time: 0.011, memory: 9544, decode.loss_ce: 0.2323, decode.acc_seg: 91.5328, loss: 0.2323 2023-01-06 02:12:29,307 - mmseg - INFO - Iter [40650/160000] lr: 4.476e-05, eta: 8:24:31, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2180, decode.acc_seg: 91.7644, loss: 0.2180 2023-01-06 02:12:41,579 - mmseg - INFO - Iter [40700/160000] lr: 4.474e-05, eta: 8:24:17, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1956, decode.acc_seg: 92.5492, loss: 0.1956 2023-01-06 02:12:53,913 - mmseg - INFO - Iter [40750/160000] lr: 4.472e-05, eta: 8:24:03, time: 0.247, data_time: 0.011, memory: 9544, decode.loss_ce: 0.2059, decode.acc_seg: 92.2843, loss: 0.2059 2023-01-06 02:13:06,313 - mmseg - INFO - Iter [40800/160000] lr: 4.470e-05, eta: 8:23:50, time: 0.248, data_time: 0.033, memory: 9544, decode.loss_ce: 0.2216, decode.acc_seg: 91.8694, loss: 0.2216 2023-01-06 02:13:18,561 - mmseg - INFO - Iter [40850/160000] lr: 4.468e-05, eta: 8:23:36, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2039, decode.acc_seg: 92.1379, loss: 0.2039 2023-01-06 02:13:30,796 - mmseg - INFO - Iter [40900/160000] lr: 4.466e-05, eta: 8:23:22, time: 0.245, data_time: 0.013, memory: 9544, decode.loss_ce: 0.2112, decode.acc_seg: 92.1507, loss: 0.2112 2023-01-06 02:13:45,424 - mmseg - INFO - Iter [40950/160000] lr: 4.464e-05, eta: 8:23:15, time: 0.292, data_time: 0.053, memory: 9544, decode.loss_ce: 0.2033, decode.acc_seg: 92.4487, loss: 0.2033 2023-01-06 02:13:57,896 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 02:13:57,897 - mmseg - INFO - Iter [41000/160000] lr: 4.463e-05, eta: 8:23:02, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2187, decode.acc_seg: 91.9595, loss: 0.2187 2023-01-06 02:14:10,384 - mmseg - INFO - Iter [41050/160000] lr: 4.461e-05, eta: 8:22:48, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2322, decode.acc_seg: 91.4373, loss: 0.2322 2023-01-06 02:14:22,790 - mmseg - INFO - Iter [41100/160000] lr: 4.459e-05, eta: 8:22:35, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2285, decode.acc_seg: 91.5132, loss: 0.2285 2023-01-06 02:14:34,982 - mmseg - INFO - Iter [41150/160000] lr: 4.457e-05, eta: 8:22:21, time: 0.244, data_time: 0.048, memory: 9544, decode.loss_ce: 0.2050, decode.acc_seg: 91.8682, loss: 0.2050 2023-01-06 02:14:47,475 - mmseg - INFO - Iter [41200/160000] lr: 4.455e-05, eta: 8:22:08, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2093, decode.acc_seg: 92.2650, loss: 0.2093 2023-01-06 02:14:59,780 - mmseg - INFO - Iter [41250/160000] lr: 4.453e-05, eta: 8:21:54, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2224, decode.acc_seg: 91.7373, loss: 0.2224 2023-01-06 02:15:14,439 - mmseg - INFO - Iter [41300/160000] lr: 4.451e-05, eta: 8:21:47, time: 0.293, data_time: 0.066, memory: 9544, decode.loss_ce: 0.2211, decode.acc_seg: 91.8093, loss: 0.2211 2023-01-06 02:15:26,760 - mmseg - INFO - Iter [41350/160000] lr: 4.449e-05, eta: 8:21:33, time: 0.246, data_time: 0.032, memory: 9544, decode.loss_ce: 0.2059, decode.acc_seg: 92.3582, loss: 0.2059 2023-01-06 02:15:38,926 - mmseg - INFO - Iter [41400/160000] lr: 4.448e-05, eta: 8:21:19, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1985, decode.acc_seg: 92.4391, loss: 0.1985 2023-01-06 02:15:51,032 - mmseg - INFO - Iter [41450/160000] lr: 4.446e-05, eta: 8:21:05, time: 0.242, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2125, decode.acc_seg: 91.8880, loss: 0.2125 2023-01-06 02:16:03,273 - mmseg - INFO - Iter [41500/160000] lr: 4.444e-05, eta: 8:20:51, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2014, decode.acc_seg: 92.3155, loss: 0.2014 2023-01-06 02:16:15,426 - mmseg - INFO - Iter [41550/160000] lr: 4.442e-05, eta: 8:20:37, time: 0.243, data_time: 0.012, memory: 9544, decode.loss_ce: 0.2104, decode.acc_seg: 92.1707, loss: 0.2104 2023-01-06 02:16:27,686 - mmseg - INFO - Iter [41600/160000] lr: 4.440e-05, eta: 8:20:23, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1934, decode.acc_seg: 92.5827, loss: 0.1934 2023-01-06 02:16:40,094 - mmseg - INFO - Iter [41650/160000] lr: 4.438e-05, eta: 8:20:09, time: 0.248, data_time: 0.011, memory: 9544, decode.loss_ce: 0.2168, decode.acc_seg: 91.7416, loss: 0.2168 2023-01-06 02:16:54,670 - mmseg - INFO - Iter [41700/160000] lr: 4.436e-05, eta: 8:20:02, time: 0.292, data_time: 0.060, memory: 9544, decode.loss_ce: 0.2101, decode.acc_seg: 91.8602, loss: 0.2101 2023-01-06 02:17:07,080 - mmseg - INFO - Iter [41750/160000] lr: 4.434e-05, eta: 8:19:48, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2019, decode.acc_seg: 92.2395, loss: 0.2019 2023-01-06 02:17:19,538 - mmseg - INFO - Iter [41800/160000] lr: 4.433e-05, eta: 8:19:35, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1811, decode.acc_seg: 92.9340, loss: 0.1811 2023-01-06 02:17:32,007 - mmseg - INFO - Iter [41850/160000] lr: 4.431e-05, eta: 8:19:22, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2086, decode.acc_seg: 92.2822, loss: 0.2086 2023-01-06 02:17:44,595 - mmseg - INFO - Iter [41900/160000] lr: 4.429e-05, eta: 8:19:09, time: 0.252, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2167, decode.acc_seg: 91.7753, loss: 0.2167 2023-01-06 02:17:56,662 - mmseg - INFO - Iter [41950/160000] lr: 4.427e-05, eta: 8:18:55, time: 0.241, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2125, decode.acc_seg: 91.8439, loss: 0.2125 2023-01-06 02:18:09,163 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 02:18:09,164 - mmseg - INFO - Iter [42000/160000] lr: 4.425e-05, eta: 8:18:41, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2284, decode.acc_seg: 91.6241, loss: 0.2284 2023-01-06 02:18:23,581 - mmseg - INFO - Iter [42050/160000] lr: 4.423e-05, eta: 8:18:34, time: 0.288, data_time: 0.060, memory: 9544, decode.loss_ce: 0.2144, decode.acc_seg: 92.2015, loss: 0.2144 2023-01-06 02:18:35,777 - mmseg - INFO - Iter [42100/160000] lr: 4.421e-05, eta: 8:18:20, time: 0.244, data_time: 0.073, memory: 9544, decode.loss_ce: 0.2083, decode.acc_seg: 92.3201, loss: 0.2083 2023-01-06 02:18:48,082 - mmseg - INFO - Iter [42150/160000] lr: 4.419e-05, eta: 8:18:06, time: 0.246, data_time: 0.014, memory: 9544, decode.loss_ce: 0.1960, decode.acc_seg: 92.4000, loss: 0.1960 2023-01-06 02:19:00,287 - mmseg - INFO - Iter [42200/160000] lr: 4.418e-05, eta: 8:17:52, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2162, decode.acc_seg: 91.7827, loss: 0.2162 2023-01-06 02:19:12,447 - mmseg - INFO - Iter [42250/160000] lr: 4.416e-05, eta: 8:17:38, time: 0.243, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1949, decode.acc_seg: 92.2946, loss: 0.1949 2023-01-06 02:19:24,622 - mmseg - INFO - Iter [42300/160000] lr: 4.414e-05, eta: 8:17:24, time: 0.243, data_time: 0.021, memory: 9544, decode.loss_ce: 0.2127, decode.acc_seg: 91.9782, loss: 0.2127 2023-01-06 02:19:36,764 - mmseg - INFO - Iter [42350/160000] lr: 4.412e-05, eta: 8:17:09, time: 0.243, data_time: 0.052, memory: 9544, decode.loss_ce: 0.2147, decode.acc_seg: 91.8472, loss: 0.2147 2023-01-06 02:19:49,203 - mmseg - INFO - Iter [42400/160000] lr: 4.410e-05, eta: 8:16:56, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2003, decode.acc_seg: 92.3189, loss: 0.2003 2023-01-06 02:20:03,955 - mmseg - INFO - Iter [42450/160000] lr: 4.408e-05, eta: 8:16:49, time: 0.295, data_time: 0.055, memory: 9544, decode.loss_ce: 0.1964, decode.acc_seg: 92.3279, loss: 0.1964 2023-01-06 02:20:16,163 - mmseg - INFO - Iter [42500/160000] lr: 4.406e-05, eta: 8:16:35, time: 0.244, data_time: 0.037, memory: 9544, decode.loss_ce: 0.2289, decode.acc_seg: 91.3098, loss: 0.2289 2023-01-06 02:20:28,412 - mmseg - INFO - Iter [42550/160000] lr: 4.404e-05, eta: 8:16:21, time: 0.245, data_time: 0.017, memory: 9544, decode.loss_ce: 0.2051, decode.acc_seg: 92.2679, loss: 0.2051 2023-01-06 02:20:40,715 - mmseg - INFO - Iter [42600/160000] lr: 4.403e-05, eta: 8:16:08, time: 0.246, data_time: 0.026, memory: 9544, decode.loss_ce: 0.2041, decode.acc_seg: 92.1135, loss: 0.2041 2023-01-06 02:20:52,901 - mmseg - INFO - Iter [42650/160000] lr: 4.401e-05, eta: 8:15:54, time: 0.244, data_time: 0.016, memory: 9544, decode.loss_ce: 0.2210, decode.acc_seg: 92.1327, loss: 0.2210 2023-01-06 02:21:05,081 - mmseg - INFO - Iter [42700/160000] lr: 4.399e-05, eta: 8:15:40, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1979, decode.acc_seg: 92.6400, loss: 0.1979 2023-01-06 02:21:17,131 - mmseg - INFO - Iter [42750/160000] lr: 4.397e-05, eta: 8:15:25, time: 0.241, data_time: 0.016, memory: 9544, decode.loss_ce: 0.2042, decode.acc_seg: 92.3490, loss: 0.2042 2023-01-06 02:21:31,767 - mmseg - INFO - Iter [42800/160000] lr: 4.395e-05, eta: 8:15:18, time: 0.293, data_time: 0.060, memory: 9544, decode.loss_ce: 0.2197, decode.acc_seg: 91.9009, loss: 0.2197 2023-01-06 02:21:44,045 - mmseg - INFO - Iter [42850/160000] lr: 4.393e-05, eta: 8:15:04, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2066, decode.acc_seg: 92.0630, loss: 0.2066 2023-01-06 02:21:56,143 - mmseg - INFO - Iter [42900/160000] lr: 4.391e-05, eta: 8:14:50, time: 0.242, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2097, decode.acc_seg: 92.1718, loss: 0.2097 2023-01-06 02:22:08,654 - mmseg - INFO - Iter [42950/160000] lr: 4.389e-05, eta: 8:14:37, time: 0.250, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1976, decode.acc_seg: 92.5377, loss: 0.1976 2023-01-06 02:22:20,954 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 02:22:20,955 - mmseg - INFO - Iter [43000/160000] lr: 4.388e-05, eta: 8:14:23, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1932, decode.acc_seg: 92.6871, loss: 0.1932 2023-01-06 02:22:33,279 - mmseg - INFO - Iter [43050/160000] lr: 4.386e-05, eta: 8:14:09, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2180, decode.acc_seg: 92.0703, loss: 0.2180 2023-01-06 02:22:45,727 - mmseg - INFO - Iter [43100/160000] lr: 4.384e-05, eta: 8:13:56, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2171, decode.acc_seg: 92.1941, loss: 0.2171 2023-01-06 02:22:58,015 - mmseg - INFO - Iter [43150/160000] lr: 4.382e-05, eta: 8:13:42, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1883, decode.acc_seg: 92.7580, loss: 0.1883 2023-01-06 02:23:12,796 - mmseg - INFO - Iter [43200/160000] lr: 4.380e-05, eta: 8:13:35, time: 0.296, data_time: 0.062, memory: 9544, decode.loss_ce: 0.2185, decode.acc_seg: 91.7264, loss: 0.2185 2023-01-06 02:23:25,237 - mmseg - INFO - Iter [43250/160000] lr: 4.378e-05, eta: 8:13:22, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2085, decode.acc_seg: 92.0517, loss: 0.2085 2023-01-06 02:23:37,565 - mmseg - INFO - Iter [43300/160000] lr: 4.376e-05, eta: 8:13:08, time: 0.246, data_time: 0.019, memory: 9544, decode.loss_ce: 0.2274, decode.acc_seg: 91.6834, loss: 0.2274 2023-01-06 02:23:50,019 - mmseg - INFO - Iter [43350/160000] lr: 4.374e-05, eta: 8:12:55, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1889, decode.acc_seg: 92.7025, loss: 0.1889 2023-01-06 02:24:02,661 - mmseg - INFO - Iter [43400/160000] lr: 4.373e-05, eta: 8:12:42, time: 0.253, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2305, decode.acc_seg: 91.7002, loss: 0.2305 2023-01-06 02:24:14,911 - mmseg - INFO - Iter [43450/160000] lr: 4.371e-05, eta: 8:12:28, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2104, decode.acc_seg: 92.0532, loss: 0.2104 2023-01-06 02:24:27,325 - mmseg - INFO - Iter [43500/160000] lr: 4.369e-05, eta: 8:12:15, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2188, decode.acc_seg: 91.6545, loss: 0.2188 2023-01-06 02:24:42,025 - mmseg - INFO - Iter [43550/160000] lr: 4.367e-05, eta: 8:12:08, time: 0.294, data_time: 0.071, memory: 9544, decode.loss_ce: 0.2101, decode.acc_seg: 92.0437, loss: 0.2101 2023-01-06 02:24:54,416 - mmseg - INFO - Iter [43600/160000] lr: 4.365e-05, eta: 8:11:54, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2321, decode.acc_seg: 91.7974, loss: 0.2321 2023-01-06 02:25:06,522 - mmseg - INFO - Iter [43650/160000] lr: 4.363e-05, eta: 8:11:40, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1986, decode.acc_seg: 92.4463, loss: 0.1986 2023-01-06 02:25:18,825 - mmseg - INFO - Iter [43700/160000] lr: 4.361e-05, eta: 8:11:27, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1952, decode.acc_seg: 92.5964, loss: 0.1952 2023-01-06 02:25:31,078 - mmseg - INFO - Iter [43750/160000] lr: 4.359e-05, eta: 8:11:13, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2002, decode.acc_seg: 92.2875, loss: 0.2002 2023-01-06 02:25:43,604 - mmseg - INFO - Iter [43800/160000] lr: 4.358e-05, eta: 8:11:00, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2089, decode.acc_seg: 92.2073, loss: 0.2089 2023-01-06 02:25:55,791 - mmseg - INFO - Iter [43850/160000] lr: 4.356e-05, eta: 8:10:46, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2162, decode.acc_seg: 91.8376, loss: 0.2162 2023-01-06 02:26:10,168 - mmseg - INFO - Iter [43900/160000] lr: 4.354e-05, eta: 8:10:37, time: 0.288, data_time: 0.060, memory: 9544, decode.loss_ce: 0.1967, decode.acc_seg: 92.1999, loss: 0.1967 2023-01-06 02:26:22,343 - mmseg - INFO - Iter [43950/160000] lr: 4.352e-05, eta: 8:10:23, time: 0.244, data_time: 0.022, memory: 9544, decode.loss_ce: 0.1972, decode.acc_seg: 92.6539, loss: 0.1972 2023-01-06 02:26:34,728 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 02:26:34,728 - mmseg - INFO - Iter [44000/160000] lr: 4.350e-05, eta: 8:10:10, time: 0.248, data_time: 0.012, memory: 9544, decode.loss_ce: 0.2020, decode.acc_seg: 92.5024, loss: 0.2020 2023-01-06 02:26:46,945 - mmseg - INFO - Iter [44050/160000] lr: 4.348e-05, eta: 8:09:56, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2195, decode.acc_seg: 91.8698, loss: 0.2195 2023-01-06 02:26:59,344 - mmseg - INFO - Iter [44100/160000] lr: 4.346e-05, eta: 8:09:43, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2217, decode.acc_seg: 91.8187, loss: 0.2217 2023-01-06 02:27:11,525 - mmseg - INFO - Iter [44150/160000] lr: 4.344e-05, eta: 8:09:29, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2009, decode.acc_seg: 92.4774, loss: 0.2009 2023-01-06 02:27:23,719 - mmseg - INFO - Iter [44200/160000] lr: 4.343e-05, eta: 8:09:15, time: 0.244, data_time: 0.022, memory: 9544, decode.loss_ce: 0.2002, decode.acc_seg: 92.1573, loss: 0.2002 2023-01-06 02:27:35,939 - mmseg - INFO - Iter [44250/160000] lr: 4.341e-05, eta: 8:09:01, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2093, decode.acc_seg: 92.1813, loss: 0.2093 2023-01-06 02:27:50,252 - mmseg - INFO - Iter [44300/160000] lr: 4.339e-05, eta: 8:08:53, time: 0.286, data_time: 0.061, memory: 9544, decode.loss_ce: 0.2031, decode.acc_seg: 92.2109, loss: 0.2031 2023-01-06 02:28:02,337 - mmseg - INFO - Iter [44350/160000] lr: 4.337e-05, eta: 8:08:38, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1870, decode.acc_seg: 92.7755, loss: 0.1870 2023-01-06 02:28:14,581 - mmseg - INFO - Iter [44400/160000] lr: 4.335e-05, eta: 8:08:25, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2101, decode.acc_seg: 92.1914, loss: 0.2101 2023-01-06 02:28:26,626 - mmseg - INFO - Iter [44450/160000] lr: 4.333e-05, eta: 8:08:10, time: 0.241, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2126, decode.acc_seg: 91.9692, loss: 0.2126 2023-01-06 02:28:38,904 - mmseg - INFO - Iter [44500/160000] lr: 4.331e-05, eta: 8:07:56, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2031, decode.acc_seg: 92.2872, loss: 0.2031 2023-01-06 02:28:51,309 - mmseg - INFO - Iter [44550/160000] lr: 4.329e-05, eta: 8:07:43, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1922, decode.acc_seg: 92.6733, loss: 0.1922 2023-01-06 02:29:03,586 - mmseg - INFO - Iter [44600/160000] lr: 4.328e-05, eta: 8:07:29, time: 0.245, data_time: 0.030, memory: 9544, decode.loss_ce: 0.2291, decode.acc_seg: 91.6443, loss: 0.2291 2023-01-06 02:29:18,086 - mmseg - INFO - Iter [44650/160000] lr: 4.326e-05, eta: 8:07:21, time: 0.290, data_time: 0.103, memory: 9544, decode.loss_ce: 0.2210, decode.acc_seg: 91.3819, loss: 0.2210 2023-01-06 02:29:30,520 - mmseg - INFO - Iter [44700/160000] lr: 4.324e-05, eta: 8:07:08, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2084, decode.acc_seg: 92.2271, loss: 0.2084 2023-01-06 02:29:42,709 - mmseg - INFO - Iter [44750/160000] lr: 4.322e-05, eta: 8:06:54, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2002, decode.acc_seg: 92.2610, loss: 0.2002 2023-01-06 02:29:54,898 - mmseg - INFO - Iter [44800/160000] lr: 4.320e-05, eta: 8:06:40, time: 0.244, data_time: 0.011, memory: 9544, decode.loss_ce: 0.2028, decode.acc_seg: 92.3965, loss: 0.2028 2023-01-06 02:30:07,309 - mmseg - INFO - Iter [44850/160000] lr: 4.318e-05, eta: 8:06:27, time: 0.248, data_time: 0.013, memory: 9544, decode.loss_ce: 0.2065, decode.acc_seg: 92.3433, loss: 0.2065 2023-01-06 02:30:19,471 - mmseg - INFO - Iter [44900/160000] lr: 4.316e-05, eta: 8:06:13, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2045, decode.acc_seg: 92.4207, loss: 0.2045 2023-01-06 02:30:31,827 - mmseg - INFO - Iter [44950/160000] lr: 4.314e-05, eta: 8:05:59, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1992, decode.acc_seg: 92.4734, loss: 0.1992 2023-01-06 02:30:44,152 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 02:30:44,153 - mmseg - INFO - Iter [45000/160000] lr: 4.313e-05, eta: 8:05:46, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2180, decode.acc_seg: 91.8970, loss: 0.2180 2023-01-06 02:30:58,500 - mmseg - INFO - Iter [45050/160000] lr: 4.311e-05, eta: 8:05:38, time: 0.287, data_time: 0.056, memory: 9544, decode.loss_ce: 0.1789, decode.acc_seg: 92.9243, loss: 0.1789 2023-01-06 02:31:10,825 - mmseg - INFO - Iter [45100/160000] lr: 4.309e-05, eta: 8:05:24, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1949, decode.acc_seg: 92.6735, loss: 0.1949 2023-01-06 02:31:23,185 - mmseg - INFO - Iter [45150/160000] lr: 4.307e-05, eta: 8:05:10, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2095, decode.acc_seg: 92.2161, loss: 0.2095 2023-01-06 02:31:35,554 - mmseg - INFO - Iter [45200/160000] lr: 4.305e-05, eta: 8:04:57, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2046, decode.acc_seg: 92.4052, loss: 0.2046 2023-01-06 02:31:47,846 - mmseg - INFO - Iter [45250/160000] lr: 4.303e-05, eta: 8:04:43, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2211, decode.acc_seg: 91.6267, loss: 0.2211 2023-01-06 02:32:00,123 - mmseg - INFO - Iter [45300/160000] lr: 4.301e-05, eta: 8:04:30, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2003, decode.acc_seg: 92.4003, loss: 0.2003 2023-01-06 02:32:12,305 - mmseg - INFO - Iter [45350/160000] lr: 4.299e-05, eta: 8:04:16, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2029, decode.acc_seg: 92.3224, loss: 0.2029 2023-01-06 02:32:26,871 - mmseg - INFO - Iter [45400/160000] lr: 4.298e-05, eta: 8:04:08, time: 0.291, data_time: 0.072, memory: 9544, decode.loss_ce: 0.2146, decode.acc_seg: 91.7325, loss: 0.2146 2023-01-06 02:32:39,254 - mmseg - INFO - Iter [45450/160000] lr: 4.296e-05, eta: 8:03:54, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2068, decode.acc_seg: 92.2810, loss: 0.2068 2023-01-06 02:32:51,537 - mmseg - INFO - Iter [45500/160000] lr: 4.294e-05, eta: 8:03:41, time: 0.246, data_time: 0.023, memory: 9544, decode.loss_ce: 0.2158, decode.acc_seg: 91.8965, loss: 0.2158 2023-01-06 02:33:03,811 - mmseg - INFO - Iter [45550/160000] lr: 4.292e-05, eta: 8:03:27, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2304, decode.acc_seg: 91.3342, loss: 0.2304 2023-01-06 02:33:16,050 - mmseg - INFO - Iter [45600/160000] lr: 4.290e-05, eta: 8:03:13, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2140, decode.acc_seg: 91.9129, loss: 0.2140 2023-01-06 02:33:28,278 - mmseg - INFO - Iter [45650/160000] lr: 4.288e-05, eta: 8:03:00, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1957, decode.acc_seg: 92.4963, loss: 0.1957 2023-01-06 02:33:40,581 - mmseg - INFO - Iter [45700/160000] lr: 4.286e-05, eta: 8:02:46, time: 0.246, data_time: 0.033, memory: 9544, decode.loss_ce: 0.2101, decode.acc_seg: 92.1387, loss: 0.2101 2023-01-06 02:33:52,867 - mmseg - INFO - Iter [45750/160000] lr: 4.284e-05, eta: 8:02:32, time: 0.245, data_time: 0.077, memory: 9544, decode.loss_ce: 0.2003, decode.acc_seg: 92.2989, loss: 0.2003 2023-01-06 02:34:07,390 - mmseg - INFO - Iter [45800/160000] lr: 4.283e-05, eta: 8:02:24, time: 0.291, data_time: 0.065, memory: 9544, decode.loss_ce: 0.1967, decode.acc_seg: 92.4092, loss: 0.1967 2023-01-06 02:34:19,774 - mmseg - INFO - Iter [45850/160000] lr: 4.281e-05, eta: 8:02:11, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2087, decode.acc_seg: 92.1315, loss: 0.2087 2023-01-06 02:34:32,257 - mmseg - INFO - Iter [45900/160000] lr: 4.279e-05, eta: 8:01:58, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2104, decode.acc_seg: 92.2017, loss: 0.2104 2023-01-06 02:34:44,457 - mmseg - INFO - Iter [45950/160000] lr: 4.277e-05, eta: 8:01:44, time: 0.244, data_time: 0.016, memory: 9544, decode.loss_ce: 0.2215, decode.acc_seg: 91.6531, loss: 0.2215 2023-01-06 02:34:56,752 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 02:34:56,753 - mmseg - INFO - Iter [46000/160000] lr: 4.275e-05, eta: 8:01:30, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2112, decode.acc_seg: 92.0940, loss: 0.2112 2023-01-06 02:35:09,007 - mmseg - INFO - Iter [46050/160000] lr: 4.273e-05, eta: 8:01:17, time: 0.245, data_time: 0.064, memory: 9544, decode.loss_ce: 0.2024, decode.acc_seg: 92.6002, loss: 0.2024 2023-01-06 02:35:21,319 - mmseg - INFO - Iter [46100/160000] lr: 4.271e-05, eta: 8:01:03, time: 0.246, data_time: 0.076, memory: 9544, decode.loss_ce: 0.2164, decode.acc_seg: 91.8416, loss: 0.2164 2023-01-06 02:35:36,062 - mmseg - INFO - Iter [46150/160000] lr: 4.269e-05, eta: 8:00:55, time: 0.294, data_time: 0.061, memory: 9544, decode.loss_ce: 0.2069, decode.acc_seg: 92.4530, loss: 0.2069 2023-01-06 02:35:48,549 - mmseg - INFO - Iter [46200/160000] lr: 4.268e-05, eta: 8:00:42, time: 0.250, data_time: 0.048, memory: 9544, decode.loss_ce: 0.2132, decode.acc_seg: 92.1735, loss: 0.2132 2023-01-06 02:36:00,923 - mmseg - INFO - Iter [46250/160000] lr: 4.266e-05, eta: 8:00:29, time: 0.248, data_time: 0.082, memory: 9544, decode.loss_ce: 0.2016, decode.acc_seg: 92.2797, loss: 0.2016 2023-01-06 02:36:13,406 - mmseg - INFO - Iter [46300/160000] lr: 4.264e-05, eta: 8:00:16, time: 0.250, data_time: 0.012, memory: 9544, decode.loss_ce: 0.2395, decode.acc_seg: 91.6372, loss: 0.2395 2023-01-06 02:36:25,869 - mmseg - INFO - Iter [46350/160000] lr: 4.262e-05, eta: 8:00:03, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2089, decode.acc_seg: 92.1477, loss: 0.2089 2023-01-06 02:36:38,257 - mmseg - INFO - Iter [46400/160000] lr: 4.260e-05, eta: 7:59:49, time: 0.248, data_time: 0.061, memory: 9544, decode.loss_ce: 0.2037, decode.acc_seg: 92.4288, loss: 0.2037 2023-01-06 02:36:50,488 - mmseg - INFO - Iter [46450/160000] lr: 4.258e-05, eta: 7:59:36, time: 0.245, data_time: 0.024, memory: 9544, decode.loss_ce: 0.2109, decode.acc_seg: 92.2080, loss: 0.2109 2023-01-06 02:37:02,898 - mmseg - INFO - Iter [46500/160000] lr: 4.256e-05, eta: 7:59:22, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2016, decode.acc_seg: 92.3533, loss: 0.2016 2023-01-06 02:37:17,523 - mmseg - INFO - Iter [46550/160000] lr: 4.254e-05, eta: 7:59:14, time: 0.292, data_time: 0.116, memory: 9544, decode.loss_ce: 0.2096, decode.acc_seg: 92.2016, loss: 0.2096 2023-01-06 02:37:29,915 - mmseg - INFO - Iter [46600/160000] lr: 4.253e-05, eta: 7:59:01, time: 0.248, data_time: 0.015, memory: 9544, decode.loss_ce: 0.2078, decode.acc_seg: 92.1413, loss: 0.2078 2023-01-06 02:37:42,144 - mmseg - INFO - Iter [46650/160000] lr: 4.251e-05, eta: 7:58:47, time: 0.244, data_time: 0.018, memory: 9544, decode.loss_ce: 0.2018, decode.acc_seg: 92.2964, loss: 0.2018 2023-01-06 02:37:54,365 - mmseg - INFO - Iter [46700/160000] lr: 4.249e-05, eta: 7:58:33, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1989, decode.acc_seg: 92.5210, loss: 0.1989 2023-01-06 02:38:06,364 - mmseg - INFO - Iter [46750/160000] lr: 4.247e-05, eta: 7:58:19, time: 0.240, data_time: 0.037, memory: 9544, decode.loss_ce: 0.1919, decode.acc_seg: 92.7021, loss: 0.1919 2023-01-06 02:38:19,171 - mmseg - INFO - Iter [46800/160000] lr: 4.245e-05, eta: 7:58:07, time: 0.257, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1917, decode.acc_seg: 92.7359, loss: 0.1917 2023-01-06 02:38:31,703 - mmseg - INFO - Iter [46850/160000] lr: 4.243e-05, eta: 7:57:54, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2111, decode.acc_seg: 92.4211, loss: 0.2111 2023-01-06 02:38:46,174 - mmseg - INFO - Iter [46900/160000] lr: 4.241e-05, eta: 7:57:45, time: 0.289, data_time: 0.058, memory: 9544, decode.loss_ce: 0.2151, decode.acc_seg: 91.9661, loss: 0.2151 2023-01-06 02:38:58,568 - mmseg - INFO - Iter [46950/160000] lr: 4.239e-05, eta: 7:57:32, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2253, decode.acc_seg: 91.8582, loss: 0.2253 2023-01-06 02:39:10,893 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 02:39:10,894 - mmseg - INFO - Iter [47000/160000] lr: 4.238e-05, eta: 7:57:19, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1924, decode.acc_seg: 92.5540, loss: 0.1924 2023-01-06 02:39:23,338 - mmseg - INFO - Iter [47050/160000] lr: 4.236e-05, eta: 7:57:05, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2247, decode.acc_seg: 91.5458, loss: 0.2247 2023-01-06 02:39:35,902 - mmseg - INFO - Iter [47100/160000] lr: 4.234e-05, eta: 7:56:52, time: 0.252, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1989, decode.acc_seg: 92.3924, loss: 0.1989 2023-01-06 02:39:48,501 - mmseg - INFO - Iter [47150/160000] lr: 4.232e-05, eta: 7:56:40, time: 0.252, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2073, decode.acc_seg: 92.1649, loss: 0.2073 2023-01-06 02:40:01,180 - mmseg - INFO - Iter [47200/160000] lr: 4.230e-05, eta: 7:56:27, time: 0.254, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1895, decode.acc_seg: 92.8980, loss: 0.1895 2023-01-06 02:40:15,777 - mmseg - INFO - Iter [47250/160000] lr: 4.228e-05, eta: 7:56:19, time: 0.292, data_time: 0.060, memory: 9544, decode.loss_ce: 0.2016, decode.acc_seg: 92.3907, loss: 0.2016 2023-01-06 02:40:27,946 - mmseg - INFO - Iter [47300/160000] lr: 4.226e-05, eta: 7:56:05, time: 0.243, data_time: 0.019, memory: 9544, decode.loss_ce: 0.1903, decode.acc_seg: 92.8190, loss: 0.1903 2023-01-06 02:40:40,362 - mmseg - INFO - Iter [47350/160000] lr: 4.224e-05, eta: 7:55:52, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1974, decode.acc_seg: 92.6529, loss: 0.1974 2023-01-06 02:40:52,574 - mmseg - INFO - Iter [47400/160000] lr: 4.223e-05, eta: 7:55:38, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2047, decode.acc_seg: 92.2590, loss: 0.2047 2023-01-06 02:41:05,312 - mmseg - INFO - Iter [47450/160000] lr: 4.221e-05, eta: 7:55:25, time: 0.255, data_time: 0.037, memory: 9544, decode.loss_ce: 0.2006, decode.acc_seg: 92.2526, loss: 0.2006 2023-01-06 02:41:18,007 - mmseg - INFO - Iter [47500/160000] lr: 4.219e-05, eta: 7:55:13, time: 0.254, data_time: 0.088, memory: 9544, decode.loss_ce: 0.2094, decode.acc_seg: 92.5135, loss: 0.2094 2023-01-06 02:41:30,678 - mmseg - INFO - Iter [47550/160000] lr: 4.217e-05, eta: 7:55:00, time: 0.254, data_time: 0.038, memory: 9544, decode.loss_ce: 0.2113, decode.acc_seg: 92.2831, loss: 0.2113 2023-01-06 02:41:43,179 - mmseg - INFO - Iter [47600/160000] lr: 4.215e-05, eta: 7:54:47, time: 0.250, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1952, decode.acc_seg: 92.4227, loss: 0.1952 2023-01-06 02:41:57,699 - mmseg - INFO - Iter [47650/160000] lr: 4.213e-05, eta: 7:54:39, time: 0.290, data_time: 0.058, memory: 9544, decode.loss_ce: 0.2044, decode.acc_seg: 92.3389, loss: 0.2044 2023-01-06 02:42:10,127 - mmseg - INFO - Iter [47700/160000] lr: 4.211e-05, eta: 7:54:25, time: 0.249, data_time: 0.034, memory: 9544, decode.loss_ce: 0.2056, decode.acc_seg: 92.4441, loss: 0.2056 2023-01-06 02:42:22,674 - mmseg - INFO - Iter [47750/160000] lr: 4.209e-05, eta: 7:54:13, time: 0.251, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2064, decode.acc_seg: 92.1541, loss: 0.2064 2023-01-06 02:42:35,048 - mmseg - INFO - Iter [47800/160000] lr: 4.208e-05, eta: 7:53:59, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1897, decode.acc_seg: 92.6534, loss: 0.1897 2023-01-06 02:42:47,553 - mmseg - INFO - Iter [47850/160000] lr: 4.206e-05, eta: 7:53:46, time: 0.250, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1878, decode.acc_seg: 92.8559, loss: 0.1878 2023-01-06 02:43:00,465 - mmseg - INFO - Iter [47900/160000] lr: 4.204e-05, eta: 7:53:34, time: 0.258, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2192, decode.acc_seg: 91.7634, loss: 0.2192 2023-01-06 02:43:13,191 - mmseg - INFO - Iter [47950/160000] lr: 4.202e-05, eta: 7:53:21, time: 0.254, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2042, decode.acc_seg: 92.4303, loss: 0.2042 2023-01-06 02:43:28,151 - mmseg - INFO - Saving checkpoint at 48000 iterations 2023-01-06 02:43:29,206 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 02:43:29,207 - mmseg - INFO - Iter [48000/160000] lr: 4.200e-05, eta: 7:53:17, time: 0.321, data_time: 0.065, memory: 9544, decode.loss_ce: 0.1970, decode.acc_seg: 92.3763, loss: 0.1970 2023-01-06 02:43:47,267 - mmseg - INFO - per class results: 2023-01-06 02:43:47,270 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 96.19 | 98.05 | | sidewalk | 72.82 | 83.6 | | building | 87.36 | 94.53 | | wall | 35.84 | 45.43 | | fence | 34.49 | 40.79 | | pole | 46.91 | 58.64 | | traffic light | 42.64 | 47.02 | | traffic sign | 58.31 | 64.42 | | vegetation | 89.75 | 95.76 | | terrain | 53.3 | 61.59 | | sky | 92.16 | 97.74 | | person | 63.41 | 85.22 | | rider | 18.38 | 20.15 | | car | 87.77 | 96.47 | | truck | 24.14 | 28.82 | | bus | 46.08 | 59.95 | | train | 23.78 | 28.47 | | motorcycle | 27.02 | 40.07 | | bicycle | 61.27 | 71.09 | +---------------+-------+-------+ 2023-01-06 02:43:47,270 - mmseg - INFO - Summary: 2023-01-06 02:43:47,271 - mmseg - INFO - +-------+-------+------+ | aAcc | mIoU | mAcc | +-------+-------+------+ | 92.91 | 55.87 | 64.1 | +-------+-------+------+ 2023-01-06 02:43:47,271 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 02:43:47,272 - mmseg - INFO - Iter(val) [63] aAcc: 0.9291, mIoU: 0.5587, mAcc: 0.6410, IoU.road: 0.9619, IoU.sidewalk: 0.7282, IoU.building: 0.8736, IoU.wall: 0.3584, IoU.fence: 0.3449, IoU.pole: 0.4691, IoU.traffic light: 0.4264, IoU.traffic sign: 0.5831, IoU.vegetation: 0.8975, IoU.terrain: 0.5330, IoU.sky: 0.9216, IoU.person: 0.6341, IoU.rider: 0.1838, IoU.car: 0.8777, IoU.truck: 0.2414, IoU.bus: 0.4608, IoU.train: 0.2378, IoU.motorcycle: 0.2702, IoU.bicycle: 0.6127, Acc.road: 0.9805, Acc.sidewalk: 0.8360, Acc.building: 0.9453, Acc.wall: 0.4543, Acc.fence: 0.4079, Acc.pole: 0.5864, Acc.traffic light: 0.4702, Acc.traffic sign: 0.6442, Acc.vegetation: 0.9576, Acc.terrain: 0.6159, Acc.sky: 0.9774, Acc.person: 0.8522, Acc.rider: 0.2015, Acc.car: 0.9647, Acc.truck: 0.2882, Acc.bus: 0.5995, Acc.train: 0.2847, Acc.motorcycle: 0.4007, Acc.bicycle: 0.7109 2023-01-06 02:43:59,483 - mmseg - INFO - Iter [48050/160000] lr: 4.198e-05, eta: 7:53:45, time: 0.605, data_time: 0.383, memory: 9544, decode.loss_ce: 0.2023, decode.acc_seg: 92.3258, loss: 0.2023 2023-01-06 02:44:11,524 - mmseg - INFO - Iter [48100/160000] lr: 4.196e-05, eta: 7:53:31, time: 0.241, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1810, decode.acc_seg: 93.1722, loss: 0.1810 2023-01-06 02:44:23,958 - mmseg - INFO - Iter [48150/160000] lr: 4.194e-05, eta: 7:53:17, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1941, decode.acc_seg: 92.6312, loss: 0.1941 2023-01-06 02:44:36,328 - mmseg - INFO - Iter [48200/160000] lr: 4.193e-05, eta: 7:53:04, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1968, decode.acc_seg: 92.7093, loss: 0.1968 2023-01-06 02:44:48,636 - mmseg - INFO - Iter [48250/160000] lr: 4.191e-05, eta: 7:52:50, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1976, decode.acc_seg: 92.3846, loss: 0.1976 2023-01-06 02:45:01,064 - mmseg - INFO - Iter [48300/160000] lr: 4.189e-05, eta: 7:52:37, time: 0.249, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2065, decode.acc_seg: 92.4332, loss: 0.2065 2023-01-06 02:45:13,529 - mmseg - INFO - Iter [48350/160000] lr: 4.187e-05, eta: 7:52:24, time: 0.249, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1957, decode.acc_seg: 92.5766, loss: 0.1957 2023-01-06 02:45:28,131 - mmseg - INFO - Iter [48400/160000] lr: 4.185e-05, eta: 7:52:15, time: 0.292, data_time: 0.080, memory: 9544, decode.loss_ce: 0.2095, decode.acc_seg: 92.2848, loss: 0.2095 2023-01-06 02:45:40,409 - mmseg - INFO - Iter [48450/160000] lr: 4.183e-05, eta: 7:52:02, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2119, decode.acc_seg: 92.0371, loss: 0.2119 2023-01-06 02:45:52,867 - mmseg - INFO - Iter [48500/160000] lr: 4.181e-05, eta: 7:51:49, time: 0.249, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1992, decode.acc_seg: 92.5243, loss: 0.1992 2023-01-06 02:46:05,102 - mmseg - INFO - Iter [48550/160000] lr: 4.179e-05, eta: 7:51:35, time: 0.245, data_time: 0.015, memory: 9544, decode.loss_ce: 0.2013, decode.acc_seg: 92.2810, loss: 0.2013 2023-01-06 02:46:17,683 - mmseg - INFO - Iter [48600/160000] lr: 4.178e-05, eta: 7:51:22, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1933, decode.acc_seg: 92.6354, loss: 0.1933 2023-01-06 02:46:30,043 - mmseg - INFO - Iter [48650/160000] lr: 4.176e-05, eta: 7:51:08, time: 0.247, data_time: 0.021, memory: 9544, decode.loss_ce: 0.1937, decode.acc_seg: 92.6489, loss: 0.1937 2023-01-06 02:46:42,468 - mmseg - INFO - Iter [48700/160000] lr: 4.174e-05, eta: 7:50:55, time: 0.248, data_time: 0.038, memory: 9544, decode.loss_ce: 0.2006, decode.acc_seg: 92.5784, loss: 0.2006 2023-01-06 02:46:56,946 - mmseg - INFO - Iter [48750/160000] lr: 4.172e-05, eta: 7:50:46, time: 0.290, data_time: 0.067, memory: 9544, decode.loss_ce: 0.1914, decode.acc_seg: 92.9449, loss: 0.1914 2023-01-06 02:47:09,438 - mmseg - INFO - Iter [48800/160000] lr: 4.170e-05, eta: 7:50:33, time: 0.250, data_time: 0.082, memory: 9544, decode.loss_ce: 0.2027, decode.acc_seg: 92.4445, loss: 0.2027 2023-01-06 02:47:21,550 - mmseg - INFO - Iter [48850/160000] lr: 4.168e-05, eta: 7:50:19, time: 0.242, data_time: 0.035, memory: 9544, decode.loss_ce: 0.2170, decode.acc_seg: 91.9679, loss: 0.2170 2023-01-06 02:47:33,662 - mmseg - INFO - Iter [48900/160000] lr: 4.166e-05, eta: 7:50:05, time: 0.242, data_time: 0.044, memory: 9544, decode.loss_ce: 0.2044, decode.acc_seg: 92.5333, loss: 0.2044 2023-01-06 02:47:46,025 - mmseg - INFO - Iter [48950/160000] lr: 4.164e-05, eta: 7:49:52, time: 0.248, data_time: 0.041, memory: 9544, decode.loss_ce: 0.2001, decode.acc_seg: 92.3326, loss: 0.2001 2023-01-06 02:47:58,548 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 02:47:58,549 - mmseg - INFO - Iter [49000/160000] lr: 4.163e-05, eta: 7:49:39, time: 0.250, data_time: 0.084, memory: 9544, decode.loss_ce: 0.1861, decode.acc_seg: 92.8302, loss: 0.1861 2023-01-06 02:48:10,942 - mmseg - INFO - Iter [49050/160000] lr: 4.161e-05, eta: 7:49:25, time: 0.248, data_time: 0.084, memory: 9544, decode.loss_ce: 0.1994, decode.acc_seg: 92.3541, loss: 0.1994 2023-01-06 02:48:23,347 - mmseg - INFO - Iter [49100/160000] lr: 4.159e-05, eta: 7:49:12, time: 0.248, data_time: 0.086, memory: 9544, decode.loss_ce: 0.1935, decode.acc_seg: 92.5308, loss: 0.1935 2023-01-06 02:48:37,824 - mmseg - INFO - Iter [49150/160000] lr: 4.157e-05, eta: 7:49:03, time: 0.290, data_time: 0.070, memory: 9544, decode.loss_ce: 0.1897, decode.acc_seg: 92.8003, loss: 0.1897 2023-01-06 02:48:50,106 - mmseg - INFO - Iter [49200/160000] lr: 4.155e-05, eta: 7:48:50, time: 0.245, data_time: 0.014, memory: 9544, decode.loss_ce: 0.2034, decode.acc_seg: 92.0111, loss: 0.2034 2023-01-06 02:49:02,605 - mmseg - INFO - Iter [49250/160000] lr: 4.153e-05, eta: 7:48:37, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1924, decode.acc_seg: 92.8541, loss: 0.1924 2023-01-06 02:49:14,979 - mmseg - INFO - Iter [49300/160000] lr: 4.151e-05, eta: 7:48:23, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1899, decode.acc_seg: 92.6358, loss: 0.1899 2023-01-06 02:49:27,263 - mmseg - INFO - Iter [49350/160000] lr: 4.149e-05, eta: 7:48:10, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1983, decode.acc_seg: 92.7016, loss: 0.1983 2023-01-06 02:49:39,445 - mmseg - INFO - Iter [49400/160000] lr: 4.148e-05, eta: 7:47:56, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2166, decode.acc_seg: 92.0912, loss: 0.2166 2023-01-06 02:49:51,509 - mmseg - INFO - Iter [49450/160000] lr: 4.146e-05, eta: 7:47:42, time: 0.241, data_time: 0.020, memory: 9544, decode.loss_ce: 0.1957, decode.acc_seg: 92.4504, loss: 0.1957 2023-01-06 02:50:05,939 - mmseg - INFO - Iter [49500/160000] lr: 4.144e-05, eta: 7:47:33, time: 0.289, data_time: 0.063, memory: 9544, decode.loss_ce: 0.2081, decode.acc_seg: 92.0516, loss: 0.2081 2023-01-06 02:50:18,160 - mmseg - INFO - Iter [49550/160000] lr: 4.142e-05, eta: 7:47:19, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2192, decode.acc_seg: 92.2702, loss: 0.2192 2023-01-06 02:50:30,424 - mmseg - INFO - Iter [49600/160000] lr: 4.140e-05, eta: 7:47:05, time: 0.245, data_time: 0.015, memory: 9544, decode.loss_ce: 0.1868, decode.acc_seg: 92.7953, loss: 0.1868 2023-01-06 02:50:42,636 - mmseg - INFO - Iter [49650/160000] lr: 4.138e-05, eta: 7:46:52, time: 0.244, data_time: 0.012, memory: 9544, decode.loss_ce: 0.2105, decode.acc_seg: 92.1547, loss: 0.2105 2023-01-06 02:50:54,977 - mmseg - INFO - Iter [49700/160000] lr: 4.136e-05, eta: 7:46:38, time: 0.247, data_time: 0.017, memory: 9544, decode.loss_ce: 0.1950, decode.acc_seg: 92.5116, loss: 0.1950 2023-01-06 02:51:07,284 - mmseg - INFO - Iter [49750/160000] lr: 4.134e-05, eta: 7:46:25, time: 0.246, data_time: 0.054, memory: 9544, decode.loss_ce: 0.1990, decode.acc_seg: 92.4041, loss: 0.1990 2023-01-06 02:51:19,721 - mmseg - INFO - Iter [49800/160000] lr: 4.133e-05, eta: 7:46:11, time: 0.249, data_time: 0.032, memory: 9544, decode.loss_ce: 0.1995, decode.acc_seg: 92.4214, loss: 0.1995 2023-01-06 02:51:33,998 - mmseg - INFO - Iter [49850/160000] lr: 4.131e-05, eta: 7:46:02, time: 0.286, data_time: 0.056, memory: 9544, decode.loss_ce: 0.1917, decode.acc_seg: 92.7394, loss: 0.1917 2023-01-06 02:51:46,331 - mmseg - INFO - Iter [49900/160000] lr: 4.129e-05, eta: 7:45:49, time: 0.247, data_time: 0.023, memory: 9544, decode.loss_ce: 0.1856, decode.acc_seg: 93.0754, loss: 0.1856 2023-01-06 02:51:58,839 - mmseg - INFO - Iter [49950/160000] lr: 4.127e-05, eta: 7:45:36, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1985, decode.acc_seg: 92.3436, loss: 0.1985 2023-01-06 02:52:11,014 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 02:52:11,014 - mmseg - INFO - Iter [50000/160000] lr: 4.125e-05, eta: 7:45:22, time: 0.243, data_time: 0.048, memory: 9544, decode.loss_ce: 0.2108, decode.acc_seg: 92.0910, loss: 0.2108 2023-01-06 02:52:23,577 - mmseg - INFO - Iter [50050/160000] lr: 4.123e-05, eta: 7:45:09, time: 0.251, data_time: 0.082, memory: 9544, decode.loss_ce: 0.1950, decode.acc_seg: 92.6425, loss: 0.1950 2023-01-06 02:52:35,740 - mmseg - INFO - Iter [50100/160000] lr: 4.121e-05, eta: 7:44:55, time: 0.243, data_time: 0.062, memory: 9544, decode.loss_ce: 0.1996, decode.acc_seg: 92.4122, loss: 0.1996 2023-01-06 02:52:48,125 - mmseg - INFO - Iter [50150/160000] lr: 4.119e-05, eta: 7:44:42, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1801, decode.acc_seg: 92.9578, loss: 0.1801 2023-01-06 02:53:00,375 - mmseg - INFO - Iter [50200/160000] lr: 4.118e-05, eta: 7:44:28, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2052, decode.acc_seg: 92.3041, loss: 0.2052 2023-01-06 02:53:14,613 - mmseg - INFO - Iter [50250/160000] lr: 4.116e-05, eta: 7:44:19, time: 0.285, data_time: 0.090, memory: 9544, decode.loss_ce: 0.2027, decode.acc_seg: 92.1922, loss: 0.2027 2023-01-06 02:53:26,809 - mmseg - INFO - Iter [50300/160000] lr: 4.114e-05, eta: 7:44:05, time: 0.243, data_time: 0.038, memory: 9544, decode.loss_ce: 0.2139, decode.acc_seg: 92.0115, loss: 0.2139 2023-01-06 02:53:39,278 - mmseg - INFO - Iter [50350/160000] lr: 4.112e-05, eta: 7:43:52, time: 0.250, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1807, decode.acc_seg: 93.1335, loss: 0.1807 2023-01-06 02:53:51,542 - mmseg - INFO - Iter [50400/160000] lr: 4.110e-05, eta: 7:43:38, time: 0.246, data_time: 0.028, memory: 9544, decode.loss_ce: 0.1948, decode.acc_seg: 92.4979, loss: 0.1948 2023-01-06 02:54:03,632 - mmseg - INFO - Iter [50450/160000] lr: 4.108e-05, eta: 7:43:24, time: 0.241, data_time: 0.038, memory: 9544, decode.loss_ce: 0.1979, decode.acc_seg: 92.3149, loss: 0.1979 2023-01-06 02:54:15,930 - mmseg - INFO - Iter [50500/160000] lr: 4.106e-05, eta: 7:43:10, time: 0.246, data_time: 0.031, memory: 9544, decode.loss_ce: 0.1876, decode.acc_seg: 92.8044, loss: 0.1876 2023-01-06 02:54:28,325 - mmseg - INFO - Iter [50550/160000] lr: 4.104e-05, eta: 7:42:57, time: 0.248, data_time: 0.011, memory: 9544, decode.loss_ce: 0.2047, decode.acc_seg: 92.4346, loss: 0.2047 2023-01-06 02:54:42,633 - mmseg - INFO - Iter [50600/160000] lr: 4.103e-05, eta: 7:42:48, time: 0.286, data_time: 0.069, memory: 9544, decode.loss_ce: 0.1944, decode.acc_seg: 92.5306, loss: 0.1944 2023-01-06 02:54:55,123 - mmseg - INFO - Iter [50650/160000] lr: 4.101e-05, eta: 7:42:35, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1983, decode.acc_seg: 92.4024, loss: 0.1983 2023-01-06 02:55:07,334 - mmseg - INFO - Iter [50700/160000] lr: 4.099e-05, eta: 7:42:21, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2013, decode.acc_seg: 92.5818, loss: 0.2013 2023-01-06 02:55:19,732 - mmseg - INFO - Iter [50750/160000] lr: 4.097e-05, eta: 7:42:08, time: 0.248, data_time: 0.029, memory: 9544, decode.loss_ce: 0.2251, decode.acc_seg: 91.8551, loss: 0.2251 2023-01-06 02:55:32,139 - mmseg - INFO - Iter [50800/160000] lr: 4.095e-05, eta: 7:41:54, time: 0.248, data_time: 0.081, memory: 9544, decode.loss_ce: 0.2037, decode.acc_seg: 92.1958, loss: 0.2037 2023-01-06 02:55:44,182 - mmseg - INFO - Iter [50850/160000] lr: 4.093e-05, eta: 7:41:40, time: 0.241, data_time: 0.022, memory: 9544, decode.loss_ce: 0.1903, decode.acc_seg: 92.7669, loss: 0.1903 2023-01-06 02:55:56,466 - mmseg - INFO - Iter [50900/160000] lr: 4.091e-05, eta: 7:41:27, time: 0.246, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1998, decode.acc_seg: 92.1749, loss: 0.1998 2023-01-06 02:56:08,669 - mmseg - INFO - Iter [50950/160000] lr: 4.089e-05, eta: 7:41:13, time: 0.244, data_time: 0.018, memory: 9544, decode.loss_ce: 0.2055, decode.acc_seg: 91.9426, loss: 0.2055 2023-01-06 02:56:23,161 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 02:56:23,162 - mmseg - INFO - Iter [51000/160000] lr: 4.088e-05, eta: 7:41:04, time: 0.290, data_time: 0.056, memory: 9544, decode.loss_ce: 0.1865, decode.acc_seg: 93.0591, loss: 0.1865 2023-01-06 02:56:35,517 - mmseg - INFO - Iter [51050/160000] lr: 4.086e-05, eta: 7:40:51, time: 0.247, data_time: 0.017, memory: 9544, decode.loss_ce: 0.1868, decode.acc_seg: 92.7569, loss: 0.1868 2023-01-06 02:56:47,786 - mmseg - INFO - Iter [51100/160000] lr: 4.084e-05, eta: 7:40:37, time: 0.245, data_time: 0.080, memory: 9544, decode.loss_ce: 0.1972, decode.acc_seg: 92.5701, loss: 0.1972 2023-01-06 02:56:59,945 - mmseg - INFO - Iter [51150/160000] lr: 4.082e-05, eta: 7:40:23, time: 0.243, data_time: 0.075, memory: 9544, decode.loss_ce: 0.2022, decode.acc_seg: 92.2432, loss: 0.2022 2023-01-06 02:57:12,098 - mmseg - INFO - Iter [51200/160000] lr: 4.080e-05, eta: 7:40:10, time: 0.243, data_time: 0.066, memory: 9544, decode.loss_ce: 0.1999, decode.acc_seg: 92.2377, loss: 0.1999 2023-01-06 02:57:24,173 - mmseg - INFO - Iter [51250/160000] lr: 4.078e-05, eta: 7:39:56, time: 0.242, data_time: 0.029, memory: 9544, decode.loss_ce: 0.2002, decode.acc_seg: 92.3620, loss: 0.2002 2023-01-06 02:57:36,385 - mmseg - INFO - Iter [51300/160000] lr: 4.076e-05, eta: 7:39:42, time: 0.244, data_time: 0.036, memory: 9544, decode.loss_ce: 0.1978, decode.acc_seg: 92.7325, loss: 0.1978 2023-01-06 02:57:51,103 - mmseg - INFO - Iter [51350/160000] lr: 4.074e-05, eta: 7:39:34, time: 0.294, data_time: 0.061, memory: 9544, decode.loss_ce: 0.1830, decode.acc_seg: 92.9816, loss: 0.1830 2023-01-06 02:58:03,326 - mmseg - INFO - Iter [51400/160000] lr: 4.073e-05, eta: 7:39:20, time: 0.245, data_time: 0.053, memory: 9544, decode.loss_ce: 0.1952, decode.acc_seg: 92.4168, loss: 0.1952 2023-01-06 02:58:15,785 - mmseg - INFO - Iter [51450/160000] lr: 4.071e-05, eta: 7:39:07, time: 0.249, data_time: 0.085, memory: 9544, decode.loss_ce: 0.1852, decode.acc_seg: 92.8092, loss: 0.1852 2023-01-06 02:58:28,042 - mmseg - INFO - Iter [51500/160000] lr: 4.069e-05, eta: 7:38:53, time: 0.245, data_time: 0.082, memory: 9544, decode.loss_ce: 0.1885, decode.acc_seg: 92.7102, loss: 0.1885 2023-01-06 02:58:40,502 - mmseg - INFO - Iter [51550/160000] lr: 4.067e-05, eta: 7:38:40, time: 0.249, data_time: 0.067, memory: 9544, decode.loss_ce: 0.1787, decode.acc_seg: 93.1151, loss: 0.1787 2023-01-06 02:58:52,970 - mmseg - INFO - Iter [51600/160000] lr: 4.065e-05, eta: 7:38:27, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1841, decode.acc_seg: 93.0268, loss: 0.1841 2023-01-06 02:59:05,090 - mmseg - INFO - Iter [51650/160000] lr: 4.063e-05, eta: 7:38:13, time: 0.242, data_time: 0.024, memory: 9544, decode.loss_ce: 0.1920, decode.acc_seg: 92.7189, loss: 0.1920 2023-01-06 02:59:17,213 - mmseg - INFO - Iter [51700/160000] lr: 4.061e-05, eta: 7:37:59, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2007, decode.acc_seg: 92.6898, loss: 0.2007 2023-01-06 02:59:31,599 - mmseg - INFO - Iter [51750/160000] lr: 4.059e-05, eta: 7:37:50, time: 0.288, data_time: 0.095, memory: 9544, decode.loss_ce: 0.2036, decode.acc_seg: 92.2714, loss: 0.2036 2023-01-06 02:59:44,006 - mmseg - INFO - Iter [51800/160000] lr: 4.058e-05, eta: 7:37:37, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2021, decode.acc_seg: 92.4752, loss: 0.2021 2023-01-06 02:59:56,343 - mmseg - INFO - Iter [51850/160000] lr: 4.056e-05, eta: 7:37:23, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1930, decode.acc_seg: 92.7742, loss: 0.1930 2023-01-06 03:00:08,799 - mmseg - INFO - Iter [51900/160000] lr: 4.054e-05, eta: 7:37:10, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2014, decode.acc_seg: 92.3295, loss: 0.2014 2023-01-06 03:00:21,012 - mmseg - INFO - Iter [51950/160000] lr: 4.052e-05, eta: 7:36:56, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2101, decode.acc_seg: 92.3923, loss: 0.2101 2023-01-06 03:00:33,443 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 03:00:33,444 - mmseg - INFO - Iter [52000/160000] lr: 4.050e-05, eta: 7:36:43, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2055, decode.acc_seg: 92.4737, loss: 0.2055 2023-01-06 03:00:45,763 - mmseg - INFO - Iter [52050/160000] lr: 4.048e-05, eta: 7:36:30, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1963, decode.acc_seg: 92.4444, loss: 0.1963 2023-01-06 03:01:00,421 - mmseg - INFO - Iter [52100/160000] lr: 4.046e-05, eta: 7:36:21, time: 0.293, data_time: 0.058, memory: 9544, decode.loss_ce: 0.1798, decode.acc_seg: 92.9508, loss: 0.1798 2023-01-06 03:01:12,834 - mmseg - INFO - Iter [52150/160000] lr: 4.044e-05, eta: 7:36:08, time: 0.248, data_time: 0.020, memory: 9544, decode.loss_ce: 0.2027, decode.acc_seg: 92.2819, loss: 0.2027 2023-01-06 03:01:25,139 - mmseg - INFO - Iter [52200/160000] lr: 4.043e-05, eta: 7:35:54, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1845, decode.acc_seg: 93.0164, loss: 0.1845 2023-01-06 03:01:37,629 - mmseg - INFO - Iter [52250/160000] lr: 4.041e-05, eta: 7:35:41, time: 0.250, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1943, decode.acc_seg: 92.8082, loss: 0.1943 2023-01-06 03:01:49,824 - mmseg - INFO - Iter [52300/160000] lr: 4.039e-05, eta: 7:35:28, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2083, decode.acc_seg: 92.3345, loss: 0.2083 2023-01-06 03:02:02,342 - mmseg - INFO - Iter [52350/160000] lr: 4.037e-05, eta: 7:35:14, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2069, decode.acc_seg: 92.0991, loss: 0.2069 2023-01-06 03:02:14,682 - mmseg - INFO - Iter [52400/160000] lr: 4.035e-05, eta: 7:35:01, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1907, decode.acc_seg: 92.8275, loss: 0.1907 2023-01-06 03:02:26,892 - mmseg - INFO - Iter [52450/160000] lr: 4.033e-05, eta: 7:34:47, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1947, decode.acc_seg: 92.4622, loss: 0.1947 2023-01-06 03:02:41,593 - mmseg - INFO - Iter [52500/160000] lr: 4.031e-05, eta: 7:34:39, time: 0.294, data_time: 0.054, memory: 9544, decode.loss_ce: 0.2019, decode.acc_seg: 92.4038, loss: 0.2019 2023-01-06 03:02:53,828 - mmseg - INFO - Iter [52550/160000] lr: 4.029e-05, eta: 7:34:25, time: 0.245, data_time: 0.024, memory: 9544, decode.loss_ce: 0.1929, decode.acc_seg: 92.4103, loss: 0.1929 2023-01-06 03:03:06,117 - mmseg - INFO - Iter [52600/160000] lr: 4.028e-05, eta: 7:34:12, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1906, decode.acc_seg: 92.6484, loss: 0.1906 2023-01-06 03:03:18,306 - mmseg - INFO - Iter [52650/160000] lr: 4.026e-05, eta: 7:33:58, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1911, decode.acc_seg: 92.5639, loss: 0.1911 2023-01-06 03:03:30,737 - mmseg - INFO - Iter [52700/160000] lr: 4.024e-05, eta: 7:33:45, time: 0.249, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1924, decode.acc_seg: 92.8701, loss: 0.1924 2023-01-06 03:03:42,918 - mmseg - INFO - Iter [52750/160000] lr: 4.022e-05, eta: 7:33:31, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2014, decode.acc_seg: 92.2923, loss: 0.2014 2023-01-06 03:03:55,204 - mmseg - INFO - Iter [52800/160000] lr: 4.020e-05, eta: 7:33:18, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1968, decode.acc_seg: 92.4042, loss: 0.1968 2023-01-06 03:04:10,128 - mmseg - INFO - Iter [52850/160000] lr: 4.018e-05, eta: 7:33:09, time: 0.298, data_time: 0.064, memory: 9544, decode.loss_ce: 0.2063, decode.acc_seg: 92.1973, loss: 0.2063 2023-01-06 03:04:22,097 - mmseg - INFO - Iter [52900/160000] lr: 4.016e-05, eta: 7:32:55, time: 0.240, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1978, decode.acc_seg: 92.3011, loss: 0.1978 2023-01-06 03:04:34,462 - mmseg - INFO - Iter [52950/160000] lr: 4.014e-05, eta: 7:32:42, time: 0.247, data_time: 0.050, memory: 9544, decode.loss_ce: 0.1816, decode.acc_seg: 92.9312, loss: 0.1816 2023-01-06 03:04:46,824 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 03:04:46,825 - mmseg - INFO - Iter [53000/160000] lr: 4.013e-05, eta: 7:32:29, time: 0.247, data_time: 0.085, memory: 9544, decode.loss_ce: 0.1805, decode.acc_seg: 92.9086, loss: 0.1805 2023-01-06 03:04:59,396 - mmseg - INFO - Iter [53050/160000] lr: 4.011e-05, eta: 7:32:16, time: 0.252, data_time: 0.084, memory: 9544, decode.loss_ce: 0.1792, decode.acc_seg: 93.2053, loss: 0.1792 2023-01-06 03:05:11,544 - mmseg - INFO - Iter [53100/160000] lr: 4.009e-05, eta: 7:32:02, time: 0.243, data_time: 0.080, memory: 9544, decode.loss_ce: 0.1943, decode.acc_seg: 92.3404, loss: 0.1943 2023-01-06 03:05:23,706 - mmseg - INFO - Iter [53150/160000] lr: 4.007e-05, eta: 7:31:48, time: 0.243, data_time: 0.044, memory: 9544, decode.loss_ce: 0.2042, decode.acc_seg: 92.5614, loss: 0.2042 2023-01-06 03:05:38,401 - mmseg - INFO - Iter [53200/160000] lr: 4.005e-05, eta: 7:31:40, time: 0.294, data_time: 0.054, memory: 9544, decode.loss_ce: 0.1865, decode.acc_seg: 92.7363, loss: 0.1865 2023-01-06 03:05:50,595 - mmseg - INFO - Iter [53250/160000] lr: 4.003e-05, eta: 7:31:26, time: 0.244, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1800, decode.acc_seg: 93.0166, loss: 0.1800 2023-01-06 03:06:02,767 - mmseg - INFO - Iter [53300/160000] lr: 4.001e-05, eta: 7:31:12, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1872, decode.acc_seg: 93.1069, loss: 0.1872 2023-01-06 03:06:15,115 - mmseg - INFO - Iter [53350/160000] lr: 3.999e-05, eta: 7:30:59, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1800, decode.acc_seg: 93.0304, loss: 0.1800 2023-01-06 03:06:27,480 - mmseg - INFO - Iter [53400/160000] lr: 3.998e-05, eta: 7:30:45, time: 0.247, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1950, decode.acc_seg: 92.6915, loss: 0.1950 2023-01-06 03:06:39,668 - mmseg - INFO - Iter [53450/160000] lr: 3.996e-05, eta: 7:30:32, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1958, decode.acc_seg: 92.3715, loss: 0.1958 2023-01-06 03:06:52,030 - mmseg - INFO - Iter [53500/160000] lr: 3.994e-05, eta: 7:30:18, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1845, decode.acc_seg: 92.9424, loss: 0.1845 2023-01-06 03:07:04,317 - mmseg - INFO - Iter [53550/160000] lr: 3.992e-05, eta: 7:30:05, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2072, decode.acc_seg: 92.0323, loss: 0.2072 2023-01-06 03:07:18,968 - mmseg - INFO - Iter [53600/160000] lr: 3.990e-05, eta: 7:29:56, time: 0.293, data_time: 0.053, memory: 9544, decode.loss_ce: 0.1927, decode.acc_seg: 92.8487, loss: 0.1927 2023-01-06 03:07:31,149 - mmseg - INFO - Iter [53650/160000] lr: 3.988e-05, eta: 7:29:42, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2057, decode.acc_seg: 92.2497, loss: 0.2057 2023-01-06 03:07:43,568 - mmseg - INFO - Iter [53700/160000] lr: 3.986e-05, eta: 7:29:29, time: 0.248, data_time: 0.054, memory: 9544, decode.loss_ce: 0.1958, decode.acc_seg: 92.5004, loss: 0.1958 2023-01-06 03:07:55,765 - mmseg - INFO - Iter [53750/160000] lr: 3.984e-05, eta: 7:29:16, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1832, decode.acc_seg: 92.9974, loss: 0.1832 2023-01-06 03:08:08,069 - mmseg - INFO - Iter [53800/160000] lr: 3.983e-05, eta: 7:29:02, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1854, decode.acc_seg: 92.8738, loss: 0.1854 2023-01-06 03:08:20,446 - mmseg - INFO - Iter [53850/160000] lr: 3.981e-05, eta: 7:28:49, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1958, decode.acc_seg: 92.4695, loss: 0.1958 2023-01-06 03:08:32,807 - mmseg - INFO - Iter [53900/160000] lr: 3.979e-05, eta: 7:28:36, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1832, decode.acc_seg: 92.8378, loss: 0.1832 2023-01-06 03:08:47,390 - mmseg - INFO - Iter [53950/160000] lr: 3.977e-05, eta: 7:28:27, time: 0.292, data_time: 0.055, memory: 9544, decode.loss_ce: 0.1926, decode.acc_seg: 92.7105, loss: 0.1926 2023-01-06 03:08:59,791 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 03:08:59,792 - mmseg - INFO - Iter [54000/160000] lr: 3.975e-05, eta: 7:28:13, time: 0.248, data_time: 0.024, memory: 9544, decode.loss_ce: 0.1974, decode.acc_seg: 92.6335, loss: 0.1974 2023-01-06 03:09:12,206 - mmseg - INFO - Iter [54050/160000] lr: 3.973e-05, eta: 7:28:00, time: 0.249, data_time: 0.062, memory: 9544, decode.loss_ce: 0.1790, decode.acc_seg: 93.1319, loss: 0.1790 2023-01-06 03:09:24,301 - mmseg - INFO - Iter [54100/160000] lr: 3.971e-05, eta: 7:27:46, time: 0.242, data_time: 0.024, memory: 9544, decode.loss_ce: 0.2080, decode.acc_seg: 92.2197, loss: 0.2080 2023-01-06 03:09:36,704 - mmseg - INFO - Iter [54150/160000] lr: 3.969e-05, eta: 7:27:33, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1857, decode.acc_seg: 93.0801, loss: 0.1857 2023-01-06 03:09:49,160 - mmseg - INFO - Iter [54200/160000] lr: 3.968e-05, eta: 7:27:20, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1836, decode.acc_seg: 92.9144, loss: 0.1836 2023-01-06 03:10:01,433 - mmseg - INFO - Iter [54250/160000] lr: 3.966e-05, eta: 7:27:06, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1997, decode.acc_seg: 92.6150, loss: 0.1997 2023-01-06 03:10:13,843 - mmseg - INFO - Iter [54300/160000] lr: 3.964e-05, eta: 7:26:53, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1893, decode.acc_seg: 92.7361, loss: 0.1893 2023-01-06 03:10:28,435 - mmseg - INFO - Iter [54350/160000] lr: 3.962e-05, eta: 7:26:44, time: 0.292, data_time: 0.069, memory: 9544, decode.loss_ce: 0.1888, decode.acc_seg: 92.8174, loss: 0.1888 2023-01-06 03:10:40,814 - mmseg - INFO - Iter [54400/160000] lr: 3.960e-05, eta: 7:26:31, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1879, decode.acc_seg: 92.9062, loss: 0.1879 2023-01-06 03:10:53,225 - mmseg - INFO - Iter [54450/160000] lr: 3.958e-05, eta: 7:26:18, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1782, decode.acc_seg: 93.1789, loss: 0.1782 2023-01-06 03:11:05,821 - mmseg - INFO - Iter [54500/160000] lr: 3.956e-05, eta: 7:26:05, time: 0.252, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2019, decode.acc_seg: 92.3886, loss: 0.2019 2023-01-06 03:11:17,870 - mmseg - INFO - Iter [54550/160000] lr: 3.954e-05, eta: 7:25:51, time: 0.241, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1841, decode.acc_seg: 92.8664, loss: 0.1841 2023-01-06 03:11:30,209 - mmseg - INFO - Iter [54600/160000] lr: 3.953e-05, eta: 7:25:38, time: 0.247, data_time: 0.020, memory: 9544, decode.loss_ce: 0.1951, decode.acc_seg: 92.4498, loss: 0.1951 2023-01-06 03:11:42,628 - mmseg - INFO - Iter [54650/160000] lr: 3.951e-05, eta: 7:25:24, time: 0.248, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1915, decode.acc_seg: 92.6347, loss: 0.1915 2023-01-06 03:11:57,074 - mmseg - INFO - Iter [54700/160000] lr: 3.949e-05, eta: 7:25:15, time: 0.289, data_time: 0.055, memory: 9544, decode.loss_ce: 0.1905, decode.acc_seg: 92.9096, loss: 0.1905 2023-01-06 03:12:09,213 - mmseg - INFO - Iter [54750/160000] lr: 3.947e-05, eta: 7:25:01, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1960, decode.acc_seg: 92.7425, loss: 0.1960 2023-01-06 03:12:21,663 - mmseg - INFO - Iter [54800/160000] lr: 3.945e-05, eta: 7:24:48, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1822, decode.acc_seg: 92.7379, loss: 0.1822 2023-01-06 03:12:34,008 - mmseg - INFO - Iter [54850/160000] lr: 3.943e-05, eta: 7:24:35, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1910, decode.acc_seg: 92.6291, loss: 0.1910 2023-01-06 03:12:46,083 - mmseg - INFO - Iter [54900/160000] lr: 3.941e-05, eta: 7:24:21, time: 0.242, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1898, decode.acc_seg: 92.7942, loss: 0.1898 2023-01-06 03:12:58,505 - mmseg - INFO - Iter [54950/160000] lr: 3.939e-05, eta: 7:24:08, time: 0.248, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1865, decode.acc_seg: 92.6119, loss: 0.1865 2023-01-06 03:13:11,052 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 03:13:11,053 - mmseg - INFO - Iter [55000/160000] lr: 3.938e-05, eta: 7:23:55, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1941, decode.acc_seg: 92.8022, loss: 0.1941 2023-01-06 03:13:23,512 - mmseg - INFO - Iter [55050/160000] lr: 3.936e-05, eta: 7:23:42, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1864, decode.acc_seg: 92.6644, loss: 0.1864 2023-01-06 03:13:37,957 - mmseg - INFO - Iter [55100/160000] lr: 3.934e-05, eta: 7:23:33, time: 0.289, data_time: 0.058, memory: 9544, decode.loss_ce: 0.1915, decode.acc_seg: 92.5856, loss: 0.1915 2023-01-06 03:13:50,424 - mmseg - INFO - Iter [55150/160000] lr: 3.932e-05, eta: 7:23:19, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1972, decode.acc_seg: 92.5776, loss: 0.1972 2023-01-06 03:14:02,510 - mmseg - INFO - Iter [55200/160000] lr: 3.930e-05, eta: 7:23:06, time: 0.242, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1883, decode.acc_seg: 92.8724, loss: 0.1883 2023-01-06 03:14:14,970 - mmseg - INFO - Iter [55250/160000] lr: 3.928e-05, eta: 7:22:52, time: 0.249, data_time: 0.018, memory: 9544, decode.loss_ce: 0.1996, decode.acc_seg: 92.4676, loss: 0.1996 2023-01-06 03:14:27,466 - mmseg - INFO - Iter [55300/160000] lr: 3.926e-05, eta: 7:22:39, time: 0.250, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2002, decode.acc_seg: 92.3814, loss: 0.2002 2023-01-06 03:14:39,780 - mmseg - INFO - Iter [55350/160000] lr: 3.924e-05, eta: 7:22:26, time: 0.246, data_time: 0.050, memory: 9544, decode.loss_ce: 0.1931, decode.acc_seg: 92.6513, loss: 0.1931 2023-01-06 03:14:51,951 - mmseg - INFO - Iter [55400/160000] lr: 3.923e-05, eta: 7:22:12, time: 0.244, data_time: 0.065, memory: 9544, decode.loss_ce: 0.1977, decode.acc_seg: 92.9235, loss: 0.1977 2023-01-06 03:15:06,528 - mmseg - INFO - Iter [55450/160000] lr: 3.921e-05, eta: 7:22:03, time: 0.292, data_time: 0.063, memory: 9544, decode.loss_ce: 0.1917, decode.acc_seg: 92.5756, loss: 0.1917 2023-01-06 03:15:18,613 - mmseg - INFO - Iter [55500/160000] lr: 3.919e-05, eta: 7:21:49, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1973, decode.acc_seg: 92.3401, loss: 0.1973 2023-01-06 03:15:30,849 - mmseg - INFO - Iter [55550/160000] lr: 3.917e-05, eta: 7:21:36, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1818, decode.acc_seg: 93.0891, loss: 0.1818 2023-01-06 03:15:43,146 - mmseg - INFO - Iter [55600/160000] lr: 3.915e-05, eta: 7:21:23, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1948, decode.acc_seg: 92.4816, loss: 0.1948 2023-01-06 03:15:55,259 - mmseg - INFO - Iter [55650/160000] lr: 3.913e-05, eta: 7:21:09, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2022, decode.acc_seg: 92.5290, loss: 0.2022 2023-01-06 03:16:07,786 - mmseg - INFO - Iter [55700/160000] lr: 3.911e-05, eta: 7:20:56, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1848, decode.acc_seg: 93.0284, loss: 0.1848 2023-01-06 03:16:19,959 - mmseg - INFO - Iter [55750/160000] lr: 3.909e-05, eta: 7:20:42, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2064, decode.acc_seg: 92.0933, loss: 0.2064 2023-01-06 03:16:32,205 - mmseg - INFO - Iter [55800/160000] lr: 3.908e-05, eta: 7:20:29, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1824, decode.acc_seg: 92.9449, loss: 0.1824 2023-01-06 03:16:46,935 - mmseg - INFO - Iter [55850/160000] lr: 3.906e-05, eta: 7:20:20, time: 0.294, data_time: 0.055, memory: 9544, decode.loss_ce: 0.1862, decode.acc_seg: 92.7368, loss: 0.1862 2023-01-06 03:16:59,448 - mmseg - INFO - Iter [55900/160000] lr: 3.904e-05, eta: 7:20:07, time: 0.250, data_time: 0.026, memory: 9544, decode.loss_ce: 0.1758, decode.acc_seg: 93.0942, loss: 0.1758 2023-01-06 03:17:11,643 - mmseg - INFO - Iter [55950/160000] lr: 3.902e-05, eta: 7:19:53, time: 0.244, data_time: 0.020, memory: 9544, decode.loss_ce: 0.1927, decode.acc_seg: 92.7623, loss: 0.1927 2023-01-06 03:17:23,980 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 03:17:23,981 - mmseg - INFO - Iter [56000/160000] lr: 3.900e-05, eta: 7:19:40, time: 0.247, data_time: 0.073, memory: 9544, decode.loss_ce: 0.1813, decode.acc_seg: 93.1528, loss: 0.1813 2023-01-06 03:17:36,431 - mmseg - INFO - Iter [56050/160000] lr: 3.898e-05, eta: 7:19:27, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1810, decode.acc_seg: 92.9757, loss: 0.1810 2023-01-06 03:17:48,707 - mmseg - INFO - Iter [56100/160000] lr: 3.896e-05, eta: 7:19:13, time: 0.246, data_time: 0.064, memory: 9544, decode.loss_ce: 0.1921, decode.acc_seg: 92.6660, loss: 0.1921 2023-01-06 03:18:01,229 - mmseg - INFO - Iter [56150/160000] lr: 3.894e-05, eta: 7:19:00, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1820, decode.acc_seg: 93.0434, loss: 0.1820 2023-01-06 03:18:15,749 - mmseg - INFO - Iter [56200/160000] lr: 3.893e-05, eta: 7:18:51, time: 0.291, data_time: 0.057, memory: 9544, decode.loss_ce: 0.1765, decode.acc_seg: 93.3610, loss: 0.1765 2023-01-06 03:18:28,006 - mmseg - INFO - Iter [56250/160000] lr: 3.891e-05, eta: 7:18:38, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2011, decode.acc_seg: 92.4084, loss: 0.2011 2023-01-06 03:18:40,331 - mmseg - INFO - Iter [56300/160000] lr: 3.889e-05, eta: 7:18:24, time: 0.246, data_time: 0.075, memory: 9544, decode.loss_ce: 0.1970, decode.acc_seg: 92.5492, loss: 0.1970 2023-01-06 03:18:52,570 - mmseg - INFO - Iter [56350/160000] lr: 3.887e-05, eta: 7:18:11, time: 0.245, data_time: 0.051, memory: 9544, decode.loss_ce: 0.1814, decode.acc_seg: 92.9672, loss: 0.1814 2023-01-06 03:19:04,918 - mmseg - INFO - Iter [56400/160000] lr: 3.885e-05, eta: 7:17:57, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1914, decode.acc_seg: 92.7970, loss: 0.1914 2023-01-06 03:19:17,329 - mmseg - INFO - Iter [56450/160000] lr: 3.883e-05, eta: 7:17:44, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1741, decode.acc_seg: 93.2581, loss: 0.1741 2023-01-06 03:19:29,613 - mmseg - INFO - Iter [56500/160000] lr: 3.881e-05, eta: 7:17:31, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2099, decode.acc_seg: 92.3970, loss: 0.2099 2023-01-06 03:19:44,037 - mmseg - INFO - Iter [56550/160000] lr: 3.879e-05, eta: 7:17:21, time: 0.289, data_time: 0.103, memory: 9544, decode.loss_ce: 0.1943, decode.acc_seg: 92.7674, loss: 0.1943 2023-01-06 03:19:56,550 - mmseg - INFO - Iter [56600/160000] lr: 3.878e-05, eta: 7:17:08, time: 0.250, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1792, decode.acc_seg: 92.9738, loss: 0.1792 2023-01-06 03:20:08,618 - mmseg - INFO - Iter [56650/160000] lr: 3.876e-05, eta: 7:16:55, time: 0.241, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1777, decode.acc_seg: 93.2843, loss: 0.1777 2023-01-06 03:20:21,108 - mmseg - INFO - Iter [56700/160000] lr: 3.874e-05, eta: 7:16:42, time: 0.250, data_time: 0.019, memory: 9544, decode.loss_ce: 0.2257, decode.acc_seg: 91.7638, loss: 0.2257 2023-01-06 03:20:33,300 - mmseg - INFO - Iter [56750/160000] lr: 3.872e-05, eta: 7:16:28, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1795, decode.acc_seg: 92.9830, loss: 0.1795 2023-01-06 03:20:45,624 - mmseg - INFO - Iter [56800/160000] lr: 3.870e-05, eta: 7:16:15, time: 0.247, data_time: 0.018, memory: 9544, decode.loss_ce: 0.1943, decode.acc_seg: 92.5493, loss: 0.1943 2023-01-06 03:20:58,056 - mmseg - INFO - Iter [56850/160000] lr: 3.868e-05, eta: 7:16:01, time: 0.249, data_time: 0.018, memory: 9544, decode.loss_ce: 0.1793, decode.acc_seg: 93.0203, loss: 0.1793 2023-01-06 03:21:10,394 - mmseg - INFO - Iter [56900/160000] lr: 3.866e-05, eta: 7:15:48, time: 0.247, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1922, decode.acc_seg: 92.7800, loss: 0.1922 2023-01-06 03:21:24,962 - mmseg - INFO - Iter [56950/160000] lr: 3.864e-05, eta: 7:15:39, time: 0.292, data_time: 0.073, memory: 9544, decode.loss_ce: 0.1879, decode.acc_seg: 92.7983, loss: 0.1879 2023-01-06 03:21:37,356 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 03:21:37,357 - mmseg - INFO - Iter [57000/160000] lr: 3.863e-05, eta: 7:15:26, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1871, decode.acc_seg: 92.9508, loss: 0.1871 2023-01-06 03:21:49,797 - mmseg - INFO - Iter [57050/160000] lr: 3.861e-05, eta: 7:15:13, time: 0.248, data_time: 0.065, memory: 9544, decode.loss_ce: 0.1870, decode.acc_seg: 93.0306, loss: 0.1870 2023-01-06 03:22:01,998 - mmseg - INFO - Iter [57100/160000] lr: 3.859e-05, eta: 7:14:59, time: 0.244, data_time: 0.071, memory: 9544, decode.loss_ce: 0.1843, decode.acc_seg: 92.8866, loss: 0.1843 2023-01-06 03:22:14,254 - mmseg - INFO - Iter [57150/160000] lr: 3.857e-05, eta: 7:14:46, time: 0.245, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1864, decode.acc_seg: 92.8776, loss: 0.1864 2023-01-06 03:22:26,574 - mmseg - INFO - Iter [57200/160000] lr: 3.855e-05, eta: 7:14:32, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2024, decode.acc_seg: 92.3210, loss: 0.2024 2023-01-06 03:22:38,724 - mmseg - INFO - Iter [57250/160000] lr: 3.853e-05, eta: 7:14:19, time: 0.243, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1953, decode.acc_seg: 92.4464, loss: 0.1953 2023-01-06 03:22:53,411 - mmseg - INFO - Iter [57300/160000] lr: 3.851e-05, eta: 7:14:10, time: 0.294, data_time: 0.056, memory: 9544, decode.loss_ce: 0.1865, decode.acc_seg: 92.7011, loss: 0.1865 2023-01-06 03:23:05,662 - mmseg - INFO - Iter [57350/160000] lr: 3.849e-05, eta: 7:13:56, time: 0.245, data_time: 0.058, memory: 9544, decode.loss_ce: 0.1789, decode.acc_seg: 93.2651, loss: 0.1789 2023-01-06 03:23:17,819 - mmseg - INFO - Iter [57400/160000] lr: 3.848e-05, eta: 7:13:42, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1915, decode.acc_seg: 92.6778, loss: 0.1915 2023-01-06 03:23:30,134 - mmseg - INFO - Iter [57450/160000] lr: 3.846e-05, eta: 7:13:29, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1859, decode.acc_seg: 92.8913, loss: 0.1859 2023-01-06 03:23:42,467 - mmseg - INFO - Iter [57500/160000] lr: 3.844e-05, eta: 7:13:16, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2055, decode.acc_seg: 92.3395, loss: 0.2055 2023-01-06 03:23:55,104 - mmseg - INFO - Iter [57550/160000] lr: 3.842e-05, eta: 7:13:03, time: 0.253, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1976, decode.acc_seg: 92.5037, loss: 0.1976 2023-01-06 03:24:07,346 - mmseg - INFO - Iter [57600/160000] lr: 3.840e-05, eta: 7:12:50, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1826, decode.acc_seg: 93.0878, loss: 0.1826 2023-01-06 03:24:19,854 - mmseg - INFO - Iter [57650/160000] lr: 3.838e-05, eta: 7:12:37, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1976, decode.acc_seg: 92.4630, loss: 0.1976 2023-01-06 03:24:34,399 - mmseg - INFO - Iter [57700/160000] lr: 3.836e-05, eta: 7:12:27, time: 0.291, data_time: 0.054, memory: 9544, decode.loss_ce: 0.1755, decode.acc_seg: 93.2935, loss: 0.1755 2023-01-06 03:24:46,822 - mmseg - INFO - Iter [57750/160000] lr: 3.834e-05, eta: 7:12:14, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1850, decode.acc_seg: 92.8775, loss: 0.1850 2023-01-06 03:24:59,182 - mmseg - INFO - Iter [57800/160000] lr: 3.833e-05, eta: 7:12:01, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1884, decode.acc_seg: 92.6962, loss: 0.1884 2023-01-06 03:25:11,507 - mmseg - INFO - Iter [57850/160000] lr: 3.831e-05, eta: 7:11:48, time: 0.246, data_time: 0.023, memory: 9544, decode.loss_ce: 0.1829, decode.acc_seg: 92.8285, loss: 0.1829 2023-01-06 03:25:23,832 - mmseg - INFO - Iter [57900/160000] lr: 3.829e-05, eta: 7:11:34, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1798, decode.acc_seg: 93.1075, loss: 0.1798 2023-01-06 03:25:36,307 - mmseg - INFO - Iter [57950/160000] lr: 3.827e-05, eta: 7:11:21, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2001, decode.acc_seg: 92.2824, loss: 0.2001 2023-01-06 03:25:48,461 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 03:25:48,462 - mmseg - INFO - Iter [58000/160000] lr: 3.825e-05, eta: 7:11:08, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1814, decode.acc_seg: 92.8792, loss: 0.1814 2023-01-06 03:26:02,974 - mmseg - INFO - Iter [58050/160000] lr: 3.823e-05, eta: 7:10:58, time: 0.290, data_time: 0.063, memory: 9544, decode.loss_ce: 0.1927, decode.acc_seg: 92.6172, loss: 0.1927 2023-01-06 03:26:15,240 - mmseg - INFO - Iter [58100/160000] lr: 3.821e-05, eta: 7:10:45, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1778, decode.acc_seg: 93.0797, loss: 0.1778 2023-01-06 03:26:27,852 - mmseg - INFO - Iter [58150/160000] lr: 3.819e-05, eta: 7:10:32, time: 0.252, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1823, decode.acc_seg: 92.9773, loss: 0.1823 2023-01-06 03:26:40,030 - mmseg - INFO - Iter [58200/160000] lr: 3.818e-05, eta: 7:10:18, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1867, decode.acc_seg: 92.9012, loss: 0.1867 2023-01-06 03:26:52,477 - mmseg - INFO - Iter [58250/160000] lr: 3.816e-05, eta: 7:10:05, time: 0.249, data_time: 0.017, memory: 9544, decode.loss_ce: 0.1674, decode.acc_seg: 93.3833, loss: 0.1674 2023-01-06 03:27:04,775 - mmseg - INFO - Iter [58300/160000] lr: 3.814e-05, eta: 7:09:52, time: 0.246, data_time: 0.046, memory: 9544, decode.loss_ce: 0.1763, decode.acc_seg: 93.0435, loss: 0.1763 2023-01-06 03:27:17,179 - mmseg - INFO - Iter [58350/160000] lr: 3.812e-05, eta: 7:09:39, time: 0.248, data_time: 0.052, memory: 9544, decode.loss_ce: 0.1869, decode.acc_seg: 92.8517, loss: 0.1869 2023-01-06 03:27:29,699 - mmseg - INFO - Iter [58400/160000] lr: 3.810e-05, eta: 7:09:26, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1786, decode.acc_seg: 93.1326, loss: 0.1786 2023-01-06 03:27:44,155 - mmseg - INFO - Iter [58450/160000] lr: 3.808e-05, eta: 7:09:16, time: 0.289, data_time: 0.084, memory: 9544, decode.loss_ce: 0.1891, decode.acc_seg: 92.7529, loss: 0.1891 2023-01-06 03:27:56,428 - mmseg - INFO - Iter [58500/160000] lr: 3.806e-05, eta: 7:09:03, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1775, decode.acc_seg: 93.2284, loss: 0.1775 2023-01-06 03:28:08,838 - mmseg - INFO - Iter [58550/160000] lr: 3.804e-05, eta: 7:08:50, time: 0.249, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1916, decode.acc_seg: 92.5764, loss: 0.1916 2023-01-06 03:28:21,080 - mmseg - INFO - Iter [58600/160000] lr: 3.803e-05, eta: 7:08:36, time: 0.245, data_time: 0.036, memory: 9544, decode.loss_ce: 0.1857, decode.acc_seg: 92.8869, loss: 0.1857 2023-01-06 03:28:33,285 - mmseg - INFO - Iter [58650/160000] lr: 3.801e-05, eta: 7:08:23, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1892, decode.acc_seg: 92.7160, loss: 0.1892 2023-01-06 03:28:45,784 - mmseg - INFO - Iter [58700/160000] lr: 3.799e-05, eta: 7:08:10, time: 0.250, data_time: 0.009, memory: 9544, decode.loss_ce: 0.2038, decode.acc_seg: 92.3089, loss: 0.2038 2023-01-06 03:28:58,317 - mmseg - INFO - Iter [58750/160000] lr: 3.797e-05, eta: 7:07:57, time: 0.250, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1904, decode.acc_seg: 92.7267, loss: 0.1904 2023-01-06 03:29:12,828 - mmseg - INFO - Iter [58800/160000] lr: 3.795e-05, eta: 7:07:47, time: 0.290, data_time: 0.081, memory: 9544, decode.loss_ce: 0.1760, decode.acc_seg: 93.2417, loss: 0.1760 2023-01-06 03:29:25,376 - mmseg - INFO - Iter [58850/160000] lr: 3.793e-05, eta: 7:07:34, time: 0.251, data_time: 0.066, memory: 9544, decode.loss_ce: 0.1847, decode.acc_seg: 92.9609, loss: 0.1847 2023-01-06 03:29:37,555 - mmseg - INFO - Iter [58900/160000] lr: 3.791e-05, eta: 7:07:21, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1924, decode.acc_seg: 92.6799, loss: 0.1924 2023-01-06 03:29:49,699 - mmseg - INFO - Iter [58950/160000] lr: 3.789e-05, eta: 7:07:07, time: 0.243, data_time: 0.017, memory: 9544, decode.loss_ce: 0.1663, decode.acc_seg: 93.5246, loss: 0.1663 2023-01-06 03:30:01,884 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 03:30:01,885 - mmseg - INFO - Iter [59000/160000] lr: 3.788e-05, eta: 7:06:54, time: 0.244, data_time: 0.056, memory: 9544, decode.loss_ce: 0.1870, decode.acc_seg: 92.9774, loss: 0.1870 2023-01-06 03:30:14,596 - mmseg - INFO - Iter [59050/160000] lr: 3.786e-05, eta: 7:06:41, time: 0.254, data_time: 0.015, memory: 9544, decode.loss_ce: 0.1886, decode.acc_seg: 92.9328, loss: 0.1886 2023-01-06 03:30:26,936 - mmseg - INFO - Iter [59100/160000] lr: 3.784e-05, eta: 7:06:28, time: 0.247, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1913, decode.acc_seg: 92.6332, loss: 0.1913 2023-01-06 03:30:41,578 - mmseg - INFO - Iter [59150/160000] lr: 3.782e-05, eta: 7:06:18, time: 0.292, data_time: 0.054, memory: 9544, decode.loss_ce: 0.1811, decode.acc_seg: 93.1232, loss: 0.1811 2023-01-06 03:30:54,180 - mmseg - INFO - Iter [59200/160000] lr: 3.780e-05, eta: 7:06:06, time: 0.252, data_time: 0.017, memory: 9544, decode.loss_ce: 0.1749, decode.acc_seg: 93.2964, loss: 0.1749 2023-01-06 03:31:06,713 - mmseg - INFO - Iter [59250/160000] lr: 3.778e-05, eta: 7:05:53, time: 0.251, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1912, decode.acc_seg: 92.8150, loss: 0.1912 2023-01-06 03:31:19,017 - mmseg - INFO - Iter [59300/160000] lr: 3.776e-05, eta: 7:05:39, time: 0.246, data_time: 0.022, memory: 9544, decode.loss_ce: 0.1925, decode.acc_seg: 92.4986, loss: 0.1925 2023-01-06 03:31:31,345 - mmseg - INFO - Iter [59350/160000] lr: 3.774e-05, eta: 7:05:26, time: 0.247, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1801, decode.acc_seg: 93.0180, loss: 0.1801 2023-01-06 03:31:43,438 - mmseg - INFO - Iter [59400/160000] lr: 3.773e-05, eta: 7:05:12, time: 0.241, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1791, decode.acc_seg: 93.1687, loss: 0.1791 2023-01-06 03:31:55,633 - mmseg - INFO - Iter [59450/160000] lr: 3.771e-05, eta: 7:04:59, time: 0.244, data_time: 0.020, memory: 9544, decode.loss_ce: 0.1834, decode.acc_seg: 93.0387, loss: 0.1834 2023-01-06 03:32:08,077 - mmseg - INFO - Iter [59500/160000] lr: 3.769e-05, eta: 7:04:46, time: 0.249, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1997, decode.acc_seg: 92.5058, loss: 0.1997 2023-01-06 03:32:22,671 - mmseg - INFO - Iter [59550/160000] lr: 3.767e-05, eta: 7:04:36, time: 0.292, data_time: 0.054, memory: 9544, decode.loss_ce: 0.1849, decode.acc_seg: 92.9623, loss: 0.1849 2023-01-06 03:32:34,911 - mmseg - INFO - Iter [59600/160000] lr: 3.765e-05, eta: 7:04:23, time: 0.245, data_time: 0.039, memory: 9544, decode.loss_ce: 0.1928, decode.acc_seg: 92.5326, loss: 0.1928 2023-01-06 03:32:47,244 - mmseg - INFO - Iter [59650/160000] lr: 3.763e-05, eta: 7:04:10, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1698, decode.acc_seg: 93.5287, loss: 0.1698 2023-01-06 03:32:59,443 - mmseg - INFO - Iter [59700/160000] lr: 3.761e-05, eta: 7:03:56, time: 0.243, data_time: 0.042, memory: 9544, decode.loss_ce: 0.1975, decode.acc_seg: 92.7225, loss: 0.1975 2023-01-06 03:33:11,900 - mmseg - INFO - Iter [59750/160000] lr: 3.759e-05, eta: 7:03:43, time: 0.250, data_time: 0.021, memory: 9544, decode.loss_ce: 0.1893, decode.acc_seg: 92.7161, loss: 0.1893 2023-01-06 03:33:24,115 - mmseg - INFO - Iter [59800/160000] lr: 3.758e-05, eta: 7:03:30, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1818, decode.acc_seg: 92.9594, loss: 0.1818 2023-01-06 03:33:36,682 - mmseg - INFO - Iter [59850/160000] lr: 3.756e-05, eta: 7:03:17, time: 0.251, data_time: 0.017, memory: 9544, decode.loss_ce: 0.1883, decode.acc_seg: 92.9310, loss: 0.1883 2023-01-06 03:33:51,116 - mmseg - INFO - Iter [59900/160000] lr: 3.754e-05, eta: 7:03:07, time: 0.289, data_time: 0.054, memory: 9544, decode.loss_ce: 0.1978, decode.acc_seg: 92.6119, loss: 0.1978 2023-01-06 03:34:03,557 - mmseg - INFO - Iter [59950/160000] lr: 3.752e-05, eta: 7:02:54, time: 0.249, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1756, decode.acc_seg: 93.3331, loss: 0.1756 2023-01-06 03:34:15,892 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 03:34:15,893 - mmseg - INFO - Iter [60000/160000] lr: 3.750e-05, eta: 7:02:41, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1834, decode.acc_seg: 93.2610, loss: 0.1834 2023-01-06 03:34:28,228 - mmseg - INFO - Iter [60050/160000] lr: 3.748e-05, eta: 7:02:27, time: 0.247, data_time: 0.015, memory: 9544, decode.loss_ce: 0.1859, decode.acc_seg: 92.9704, loss: 0.1859 2023-01-06 03:34:40,839 - mmseg - INFO - Iter [60100/160000] lr: 3.746e-05, eta: 7:02:15, time: 0.252, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1896, decode.acc_seg: 93.0087, loss: 0.1896 2023-01-06 03:34:53,232 - mmseg - INFO - Iter [60150/160000] lr: 3.744e-05, eta: 7:02:01, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1795, decode.acc_seg: 93.0431, loss: 0.1795 2023-01-06 03:35:05,596 - mmseg - INFO - Iter [60200/160000] lr: 3.743e-05, eta: 7:01:48, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1936, decode.acc_seg: 92.7054, loss: 0.1936 2023-01-06 03:35:17,910 - mmseg - INFO - Iter [60250/160000] lr: 3.741e-05, eta: 7:01:35, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1916, decode.acc_seg: 92.7272, loss: 0.1916 2023-01-06 03:35:32,739 - mmseg - INFO - Iter [60300/160000] lr: 3.739e-05, eta: 7:01:26, time: 0.297, data_time: 0.057, memory: 9544, decode.loss_ce: 0.2015, decode.acc_seg: 92.4575, loss: 0.2015 2023-01-06 03:35:45,137 - mmseg - INFO - Iter [60350/160000] lr: 3.737e-05, eta: 7:01:13, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1805, decode.acc_seg: 92.9405, loss: 0.1805 2023-01-06 03:35:57,306 - mmseg - INFO - Iter [60400/160000] lr: 3.735e-05, eta: 7:00:59, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1796, decode.acc_seg: 92.9977, loss: 0.1796 2023-01-06 03:36:09,576 - mmseg - INFO - Iter [60450/160000] lr: 3.733e-05, eta: 7:00:46, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1873, decode.acc_seg: 92.8001, loss: 0.1873 2023-01-06 03:36:21,905 - mmseg - INFO - Iter [60500/160000] lr: 3.731e-05, eta: 7:00:33, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1950, decode.acc_seg: 92.7221, loss: 0.1950 2023-01-06 03:36:34,271 - mmseg - INFO - Iter [60550/160000] lr: 3.729e-05, eta: 7:00:19, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1716, decode.acc_seg: 93.2394, loss: 0.1716 2023-01-06 03:36:46,541 - mmseg - INFO - Iter [60600/160000] lr: 3.728e-05, eta: 7:00:06, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1830, decode.acc_seg: 93.1089, loss: 0.1830 2023-01-06 03:37:01,008 - mmseg - INFO - Iter [60650/160000] lr: 3.726e-05, eta: 6:59:56, time: 0.289, data_time: 0.055, memory: 9544, decode.loss_ce: 0.1701, decode.acc_seg: 93.4722, loss: 0.1701 2023-01-06 03:37:13,431 - mmseg - INFO - Iter [60700/160000] lr: 3.724e-05, eta: 6:59:43, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1950, decode.acc_seg: 92.8479, loss: 0.1950 2023-01-06 03:37:25,715 - mmseg - INFO - Iter [60750/160000] lr: 3.722e-05, eta: 6:59:30, time: 0.245, data_time: 0.016, memory: 9544, decode.loss_ce: 0.1805, decode.acc_seg: 93.0935, loss: 0.1805 2023-01-06 03:37:37,970 - mmseg - INFO - Iter [60800/160000] lr: 3.720e-05, eta: 6:59:16, time: 0.245, data_time: 0.041, memory: 9544, decode.loss_ce: 0.1651, decode.acc_seg: 93.7054, loss: 0.1651 2023-01-06 03:37:50,450 - mmseg - INFO - Iter [60850/160000] lr: 3.718e-05, eta: 6:59:03, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1872, decode.acc_seg: 92.6993, loss: 0.1872 2023-01-06 03:38:02,943 - mmseg - INFO - Iter [60900/160000] lr: 3.716e-05, eta: 6:58:50, time: 0.250, data_time: 0.014, memory: 9544, decode.loss_ce: 0.1767, decode.acc_seg: 93.0826, loss: 0.1767 2023-01-06 03:38:15,168 - mmseg - INFO - Iter [60950/160000] lr: 3.714e-05, eta: 6:58:37, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1942, decode.acc_seg: 92.6522, loss: 0.1942 2023-01-06 03:38:27,710 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 03:38:27,710 - mmseg - INFO - Iter [61000/160000] lr: 3.713e-05, eta: 6:58:24, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1936, decode.acc_seg: 92.7661, loss: 0.1936 2023-01-06 03:38:42,090 - mmseg - INFO - Iter [61050/160000] lr: 3.711e-05, eta: 6:58:14, time: 0.288, data_time: 0.078, memory: 9544, decode.loss_ce: 0.1865, decode.acc_seg: 92.8798, loss: 0.1865 2023-01-06 03:38:54,290 - mmseg - INFO - Iter [61100/160000] lr: 3.709e-05, eta: 6:58:01, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1744, decode.acc_seg: 93.2378, loss: 0.1744 2023-01-06 03:39:06,635 - mmseg - INFO - Iter [61150/160000] lr: 3.707e-05, eta: 6:57:47, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1705, decode.acc_seg: 93.3913, loss: 0.1705 2023-01-06 03:39:18,891 - mmseg - INFO - Iter [61200/160000] lr: 3.705e-05, eta: 6:57:34, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1810, decode.acc_seg: 92.8497, loss: 0.1810 2023-01-06 03:39:31,249 - mmseg - INFO - Iter [61250/160000] lr: 3.703e-05, eta: 6:57:21, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1957, decode.acc_seg: 92.5051, loss: 0.1957 2023-01-06 03:39:43,523 - mmseg - INFO - Iter [61300/160000] lr: 3.701e-05, eta: 6:57:08, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1824, decode.acc_seg: 93.0732, loss: 0.1824 2023-01-06 03:39:55,761 - mmseg - INFO - Iter [61350/160000] lr: 3.699e-05, eta: 6:56:54, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1823, decode.acc_seg: 92.9888, loss: 0.1823 2023-01-06 03:40:10,225 - mmseg - INFO - Iter [61400/160000] lr: 3.698e-05, eta: 6:56:44, time: 0.290, data_time: 0.059, memory: 9544, decode.loss_ce: 0.1795, decode.acc_seg: 93.0374, loss: 0.1795 2023-01-06 03:40:22,693 - mmseg - INFO - Iter [61450/160000] lr: 3.696e-05, eta: 6:56:31, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1867, decode.acc_seg: 93.0848, loss: 0.1867 2023-01-06 03:40:34,742 - mmseg - INFO - Iter [61500/160000] lr: 3.694e-05, eta: 6:56:18, time: 0.241, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1714, decode.acc_seg: 93.4391, loss: 0.1714 2023-01-06 03:40:46,933 - mmseg - INFO - Iter [61550/160000] lr: 3.692e-05, eta: 6:56:04, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1842, decode.acc_seg: 93.0722, loss: 0.1842 2023-01-06 03:40:59,042 - mmseg - INFO - Iter [61600/160000] lr: 3.690e-05, eta: 6:55:51, time: 0.242, data_time: 0.049, memory: 9544, decode.loss_ce: 0.1790, decode.acc_seg: 93.0585, loss: 0.1790 2023-01-06 03:41:11,272 - mmseg - INFO - Iter [61650/160000] lr: 3.688e-05, eta: 6:55:37, time: 0.245, data_time: 0.034, memory: 9544, decode.loss_ce: 0.1844, decode.acc_seg: 92.9886, loss: 0.1844 2023-01-06 03:41:23,885 - mmseg - INFO - Iter [61700/160000] lr: 3.686e-05, eta: 6:55:24, time: 0.252, data_time: 0.025, memory: 9544, decode.loss_ce: 0.1875, decode.acc_seg: 92.7418, loss: 0.1875 2023-01-06 03:41:36,039 - mmseg - INFO - Iter [61750/160000] lr: 3.684e-05, eta: 6:55:11, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1765, decode.acc_seg: 93.1295, loss: 0.1765 2023-01-06 03:41:50,578 - mmseg - INFO - Iter [61800/160000] lr: 3.683e-05, eta: 6:55:01, time: 0.291, data_time: 0.110, memory: 9544, decode.loss_ce: 0.1799, decode.acc_seg: 93.1748, loss: 0.1799 2023-01-06 03:42:03,019 - mmseg - INFO - Iter [61850/160000] lr: 3.681e-05, eta: 6:54:48, time: 0.249, data_time: 0.083, memory: 9544, decode.loss_ce: 0.1972, decode.acc_seg: 92.5009, loss: 0.1972 2023-01-06 03:42:15,193 - mmseg - INFO - Iter [61900/160000] lr: 3.679e-05, eta: 6:54:35, time: 0.244, data_time: 0.018, memory: 9544, decode.loss_ce: 0.1729, decode.acc_seg: 93.0499, loss: 0.1729 2023-01-06 03:42:27,252 - mmseg - INFO - Iter [61950/160000] lr: 3.677e-05, eta: 6:54:21, time: 0.241, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1752, decode.acc_seg: 93.3455, loss: 0.1752 2023-01-06 03:42:39,504 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 03:42:39,505 - mmseg - INFO - Iter [62000/160000] lr: 3.675e-05, eta: 6:54:08, time: 0.245, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1827, decode.acc_seg: 93.0142, loss: 0.1827 2023-01-06 03:42:51,727 - mmseg - INFO - Iter [62050/160000] lr: 3.673e-05, eta: 6:53:54, time: 0.245, data_time: 0.042, memory: 9544, decode.loss_ce: 0.1966, decode.acc_seg: 92.5417, loss: 0.1966 2023-01-06 03:43:03,983 - mmseg - INFO - Iter [62100/160000] lr: 3.671e-05, eta: 6:53:41, time: 0.245, data_time: 0.081, memory: 9544, decode.loss_ce: 0.1866, decode.acc_seg: 92.9580, loss: 0.1866 2023-01-06 03:43:18,477 - mmseg - INFO - Iter [62150/160000] lr: 3.669e-05, eta: 6:53:31, time: 0.290, data_time: 0.078, memory: 9544, decode.loss_ce: 0.1822, decode.acc_seg: 92.9160, loss: 0.1822 2023-01-06 03:43:30,726 - mmseg - INFO - Iter [62200/160000] lr: 3.668e-05, eta: 6:53:18, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1931, decode.acc_seg: 92.4529, loss: 0.1931 2023-01-06 03:43:42,980 - mmseg - INFO - Iter [62250/160000] lr: 3.666e-05, eta: 6:53:04, time: 0.245, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1850, decode.acc_seg: 93.0103, loss: 0.1850 2023-01-06 03:43:55,349 - mmseg - INFO - Iter [62300/160000] lr: 3.664e-05, eta: 6:52:51, time: 0.247, data_time: 0.014, memory: 9544, decode.loss_ce: 0.1906, decode.acc_seg: 92.9104, loss: 0.1906 2023-01-06 03:44:07,658 - mmseg - INFO - Iter [62350/160000] lr: 3.662e-05, eta: 6:52:38, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1842, decode.acc_seg: 93.1452, loss: 0.1842 2023-01-06 03:44:20,016 - mmseg - INFO - Iter [62400/160000] lr: 3.660e-05, eta: 6:52:25, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1846, decode.acc_seg: 92.8543, loss: 0.1846 2023-01-06 03:44:32,396 - mmseg - INFO - Iter [62450/160000] lr: 3.658e-05, eta: 6:52:12, time: 0.248, data_time: 0.015, memory: 9544, decode.loss_ce: 0.1906, decode.acc_seg: 92.9197, loss: 0.1906 2023-01-06 03:44:46,721 - mmseg - INFO - Iter [62500/160000] lr: 3.656e-05, eta: 6:52:02, time: 0.287, data_time: 0.058, memory: 9544, decode.loss_ce: 0.1700, decode.acc_seg: 93.4849, loss: 0.1700 2023-01-06 03:44:59,308 - mmseg - INFO - Iter [62550/160000] lr: 3.654e-05, eta: 6:51:49, time: 0.252, data_time: 0.024, memory: 9544, decode.loss_ce: 0.1799, decode.acc_seg: 93.1587, loss: 0.1799 2023-01-06 03:45:11,626 - mmseg - INFO - Iter [62600/160000] lr: 3.653e-05, eta: 6:51:36, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2007, decode.acc_seg: 92.2626, loss: 0.2007 2023-01-06 03:45:23,827 - mmseg - INFO - Iter [62650/160000] lr: 3.651e-05, eta: 6:51:22, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1777, decode.acc_seg: 93.1074, loss: 0.1777 2023-01-06 03:45:36,007 - mmseg - INFO - Iter [62700/160000] lr: 3.649e-05, eta: 6:51:09, time: 0.244, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1808, decode.acc_seg: 93.0587, loss: 0.1808 2023-01-06 03:45:48,111 - mmseg - INFO - Iter [62750/160000] lr: 3.647e-05, eta: 6:50:55, time: 0.242, data_time: 0.018, memory: 9544, decode.loss_ce: 0.1868, decode.acc_seg: 93.0141, loss: 0.1868 2023-01-06 03:46:00,202 - mmseg - INFO - Iter [62800/160000] lr: 3.645e-05, eta: 6:50:42, time: 0.242, data_time: 0.018, memory: 9544, decode.loss_ce: 0.1691, decode.acc_seg: 93.4983, loss: 0.1691 2023-01-06 03:46:12,695 - mmseg - INFO - Iter [62850/160000] lr: 3.643e-05, eta: 6:50:29, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1743, decode.acc_seg: 93.4140, loss: 0.1743 2023-01-06 03:46:27,257 - mmseg - INFO - Iter [62900/160000] lr: 3.641e-05, eta: 6:50:19, time: 0.291, data_time: 0.076, memory: 9544, decode.loss_ce: 0.1847, decode.acc_seg: 92.9403, loss: 0.1847 2023-01-06 03:46:39,500 - mmseg - INFO - Iter [62950/160000] lr: 3.639e-05, eta: 6:50:05, time: 0.245, data_time: 0.018, memory: 9544, decode.loss_ce: 0.1758, decode.acc_seg: 93.1652, loss: 0.1758 2023-01-06 03:46:51,743 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 03:46:51,743 - mmseg - INFO - Iter [63000/160000] lr: 3.638e-05, eta: 6:49:52, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1676, decode.acc_seg: 93.6166, loss: 0.1676 2023-01-06 03:47:04,074 - mmseg - INFO - Iter [63050/160000] lr: 3.636e-05, eta: 6:49:39, time: 0.247, data_time: 0.026, memory: 9544, decode.loss_ce: 0.1928, decode.acc_seg: 92.7598, loss: 0.1928 2023-01-06 03:47:16,569 - mmseg - INFO - Iter [63100/160000] lr: 3.634e-05, eta: 6:49:26, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1737, decode.acc_seg: 93.1524, loss: 0.1737 2023-01-06 03:47:28,882 - mmseg - INFO - Iter [63150/160000] lr: 3.632e-05, eta: 6:49:13, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1988, decode.acc_seg: 92.5281, loss: 0.1988 2023-01-06 03:47:41,404 - mmseg - INFO - Iter [63200/160000] lr: 3.630e-05, eta: 6:49:00, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1927, decode.acc_seg: 92.9692, loss: 0.1927 2023-01-06 03:47:56,032 - mmseg - INFO - Iter [63250/160000] lr: 3.628e-05, eta: 6:48:50, time: 0.292, data_time: 0.066, memory: 9544, decode.loss_ce: 0.1623, decode.acc_seg: 93.6944, loss: 0.1623 2023-01-06 03:48:08,291 - mmseg - INFO - Iter [63300/160000] lr: 3.626e-05, eta: 6:48:37, time: 0.246, data_time: 0.028, memory: 9544, decode.loss_ce: 0.1907, decode.acc_seg: 92.8818, loss: 0.1907 2023-01-06 03:48:20,835 - mmseg - INFO - Iter [63350/160000] lr: 3.624e-05, eta: 6:48:24, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1984, decode.acc_seg: 92.9068, loss: 0.1984 2023-01-06 03:48:32,980 - mmseg - INFO - Iter [63400/160000] lr: 3.623e-05, eta: 6:48:10, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1856, decode.acc_seg: 92.8578, loss: 0.1856 2023-01-06 03:48:45,757 - mmseg - INFO - Iter [63450/160000] lr: 3.621e-05, eta: 6:47:58, time: 0.256, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1885, decode.acc_seg: 92.6706, loss: 0.1885 2023-01-06 03:48:58,379 - mmseg - INFO - Iter [63500/160000] lr: 3.619e-05, eta: 6:47:45, time: 0.253, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1787, decode.acc_seg: 93.1958, loss: 0.1787 2023-01-06 03:49:10,941 - mmseg - INFO - Iter [63550/160000] lr: 3.617e-05, eta: 6:47:32, time: 0.251, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1915, decode.acc_seg: 92.6620, loss: 0.1915 2023-01-06 03:49:23,568 - mmseg - INFO - Iter [63600/160000] lr: 3.615e-05, eta: 6:47:20, time: 0.252, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1666, decode.acc_seg: 93.5014, loss: 0.1666 2023-01-06 03:49:38,555 - mmseg - INFO - Iter [63650/160000] lr: 3.613e-05, eta: 6:47:10, time: 0.300, data_time: 0.054, memory: 9544, decode.loss_ce: 0.1808, decode.acc_seg: 93.1237, loss: 0.1808 2023-01-06 03:49:50,816 - mmseg - INFO - Iter [63700/160000] lr: 3.611e-05, eta: 6:46:57, time: 0.245, data_time: 0.025, memory: 9544, decode.loss_ce: 0.1736, decode.acc_seg: 93.2958, loss: 0.1736 2023-01-06 03:50:03,394 - mmseg - INFO - Iter [63750/160000] lr: 3.609e-05, eta: 6:46:44, time: 0.251, data_time: 0.022, memory: 9544, decode.loss_ce: 0.1836, decode.acc_seg: 92.8092, loss: 0.1836 2023-01-06 03:50:15,635 - mmseg - INFO - Iter [63800/160000] lr: 3.608e-05, eta: 6:46:31, time: 0.244, data_time: 0.019, memory: 9544, decode.loss_ce: 0.2000, decode.acc_seg: 92.6003, loss: 0.2000 2023-01-06 03:50:28,233 - mmseg - INFO - Iter [63850/160000] lr: 3.606e-05, eta: 6:46:18, time: 0.252, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1739, decode.acc_seg: 93.0266, loss: 0.1739 2023-01-06 03:50:40,584 - mmseg - INFO - Iter [63900/160000] lr: 3.604e-05, eta: 6:46:05, time: 0.247, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1824, decode.acc_seg: 93.0527, loss: 0.1824 2023-01-06 03:50:53,183 - mmseg - INFO - Iter [63950/160000] lr: 3.602e-05, eta: 6:45:52, time: 0.252, data_time: 0.033, memory: 9544, decode.loss_ce: 0.2076, decode.acc_seg: 91.9794, loss: 0.2076 2023-01-06 03:51:07,527 - mmseg - INFO - Saving checkpoint at 64000 iterations 2023-01-06 03:51:08,564 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 03:51:08,564 - mmseg - INFO - Iter [64000/160000] lr: 3.600e-05, eta: 6:45:43, time: 0.308, data_time: 0.064, memory: 9544, decode.loss_ce: 0.1743, decode.acc_seg: 93.4044, loss: 0.1743 2023-01-06 03:51:26,572 - mmseg - INFO - per class results: 2023-01-06 03:51:26,574 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 96.56 | 98.41 | | sidewalk | 74.55 | 85.7 | | building | 87.77 | 95.14 | | wall | 29.13 | 31.31 | | fence | 40.06 | 48.01 | | pole | 45.03 | 51.49 | | traffic light | 45.98 | 52.99 | | traffic sign | 61.71 | 68.37 | | vegetation | 89.88 | 96.06 | | terrain | 54.9 | 64.5 | | sky | 91.93 | 98.32 | | person | 66.71 | 84.32 | | rider | 25.37 | 28.5 | | car | 88.76 | 95.95 | | truck | 30.41 | 35.86 | | bus | 41.21 | 46.66 | | train | 32.52 | 39.85 | | motorcycle | 24.22 | 30.69 | | bicycle | 64.19 | 81.04 | +---------------+-------+-------+ 2023-01-06 03:51:26,574 - mmseg - INFO - Summary: 2023-01-06 03:51:26,575 - mmseg - INFO - +------+-------+------+ | aAcc | mIoU | mAcc | +------+-------+------+ | 93.3 | 57.42 | 64.9 | +------+-------+------+ 2023-01-06 03:51:26,576 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 03:51:26,576 - mmseg - INFO - Iter(val) [63] aAcc: 0.9330, mIoU: 0.5742, mAcc: 0.6490, IoU.road: 0.9656, IoU.sidewalk: 0.7455, IoU.building: 0.8777, IoU.wall: 0.2913, IoU.fence: 0.4006, IoU.pole: 0.4503, IoU.traffic light: 0.4598, IoU.traffic sign: 0.6171, IoU.vegetation: 0.8988, IoU.terrain: 0.5490, IoU.sky: 0.9193, IoU.person: 0.6671, IoU.rider: 0.2537, IoU.car: 0.8876, IoU.truck: 0.3041, IoU.bus: 0.4121, IoU.train: 0.3252, IoU.motorcycle: 0.2422, IoU.bicycle: 0.6419, Acc.road: 0.9841, Acc.sidewalk: 0.8570, Acc.building: 0.9514, Acc.wall: 0.3131, Acc.fence: 0.4801, Acc.pole: 0.5149, Acc.traffic light: 0.5299, Acc.traffic sign: 0.6837, Acc.vegetation: 0.9606, Acc.terrain: 0.6450, Acc.sky: 0.9832, Acc.person: 0.8432, Acc.rider: 0.2850, Acc.car: 0.9595, Acc.truck: 0.3586, Acc.bus: 0.4666, Acc.train: 0.3985, Acc.motorcycle: 0.3069, Acc.bicycle: 0.8104 2023-01-06 03:51:38,630 - mmseg - INFO - Iter [64050/160000] lr: 3.598e-05, eta: 6:45:57, time: 0.601, data_time: 0.432, memory: 9544, decode.loss_ce: 0.1787, decode.acc_seg: 93.0124, loss: 0.1787 2023-01-06 03:51:51,018 - mmseg - INFO - Iter [64100/160000] lr: 3.596e-05, eta: 6:45:44, time: 0.248, data_time: 0.052, memory: 9544, decode.loss_ce: 0.2051, decode.acc_seg: 92.4633, loss: 0.2051 2023-01-06 03:52:03,391 - mmseg - INFO - Iter [64150/160000] lr: 3.594e-05, eta: 6:45:31, time: 0.248, data_time: 0.040, memory: 9544, decode.loss_ce: 0.1820, decode.acc_seg: 93.0878, loss: 0.1820 2023-01-06 03:52:15,691 - mmseg - INFO - Iter [64200/160000] lr: 3.593e-05, eta: 6:45:17, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1894, decode.acc_seg: 92.8680, loss: 0.1894 2023-01-06 03:52:27,776 - mmseg - INFO - Iter [64250/160000] lr: 3.591e-05, eta: 6:45:04, time: 0.241, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1815, decode.acc_seg: 93.0589, loss: 0.1815 2023-01-06 03:52:40,060 - mmseg - INFO - Iter [64300/160000] lr: 3.589e-05, eta: 6:44:50, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1787, decode.acc_seg: 93.1458, loss: 0.1787 2023-01-06 03:52:52,352 - mmseg - INFO - Iter [64350/160000] lr: 3.587e-05, eta: 6:44:37, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1913, decode.acc_seg: 92.6728, loss: 0.1913 2023-01-06 03:53:06,903 - mmseg - INFO - Iter [64400/160000] lr: 3.585e-05, eta: 6:44:27, time: 0.291, data_time: 0.086, memory: 9544, decode.loss_ce: 0.1773, decode.acc_seg: 93.0668, loss: 0.1773 2023-01-06 03:53:19,159 - mmseg - INFO - Iter [64450/160000] lr: 3.583e-05, eta: 6:44:14, time: 0.245, data_time: 0.027, memory: 9544, decode.loss_ce: 0.1795, decode.acc_seg: 93.2845, loss: 0.1795 2023-01-06 03:53:31,496 - mmseg - INFO - Iter [64500/160000] lr: 3.581e-05, eta: 6:44:01, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1787, decode.acc_seg: 93.1654, loss: 0.1787 2023-01-06 03:53:43,928 - mmseg - INFO - Iter [64550/160000] lr: 3.579e-05, eta: 6:43:47, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1622, decode.acc_seg: 93.6707, loss: 0.1622 2023-01-06 03:53:56,259 - mmseg - INFO - Iter [64600/160000] lr: 3.578e-05, eta: 6:43:34, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1735, decode.acc_seg: 93.1169, loss: 0.1735 2023-01-06 03:54:08,485 - mmseg - INFO - Iter [64650/160000] lr: 3.576e-05, eta: 6:43:21, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1726, decode.acc_seg: 93.2441, loss: 0.1726 2023-01-06 03:54:20,837 - mmseg - INFO - Iter [64700/160000] lr: 3.574e-05, eta: 6:43:08, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1723, decode.acc_seg: 93.2702, loss: 0.1723 2023-01-06 03:54:35,263 - mmseg - INFO - Iter [64750/160000] lr: 3.572e-05, eta: 6:42:58, time: 0.288, data_time: 0.055, memory: 9544, decode.loss_ce: 0.1761, decode.acc_seg: 93.4069, loss: 0.1761 2023-01-06 03:54:47,567 - mmseg - INFO - Iter [64800/160000] lr: 3.570e-05, eta: 6:42:44, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1663, decode.acc_seg: 93.5373, loss: 0.1663 2023-01-06 03:54:59,839 - mmseg - INFO - Iter [64850/160000] lr: 3.568e-05, eta: 6:42:31, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1677, decode.acc_seg: 93.6539, loss: 0.1677 2023-01-06 03:55:12,157 - mmseg - INFO - Iter [64900/160000] lr: 3.566e-05, eta: 6:42:18, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1757, decode.acc_seg: 93.2826, loss: 0.1757 2023-01-06 03:55:24,474 - mmseg - INFO - Iter [64950/160000] lr: 3.564e-05, eta: 6:42:04, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1941, decode.acc_seg: 92.7983, loss: 0.1941 2023-01-06 03:55:36,468 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 03:55:36,468 - mmseg - INFO - Iter [65000/160000] lr: 3.563e-05, eta: 6:41:51, time: 0.240, data_time: 0.016, memory: 9544, decode.loss_ce: 0.1981, decode.acc_seg: 92.3443, loss: 0.1981 2023-01-06 03:55:48,799 - mmseg - INFO - Iter [65050/160000] lr: 3.561e-05, eta: 6:41:38, time: 0.247, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1802, decode.acc_seg: 92.8851, loss: 0.1802 2023-01-06 03:56:01,427 - mmseg - INFO - Iter [65100/160000] lr: 3.559e-05, eta: 6:41:25, time: 0.252, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1818, decode.acc_seg: 93.1188, loss: 0.1818 2023-01-06 03:56:16,041 - mmseg - INFO - Iter [65150/160000] lr: 3.557e-05, eta: 6:41:15, time: 0.292, data_time: 0.055, memory: 9544, decode.loss_ce: 0.1785, decode.acc_seg: 93.0146, loss: 0.1785 2023-01-06 03:56:28,418 - mmseg - INFO - Iter [65200/160000] lr: 3.555e-05, eta: 6:41:02, time: 0.248, data_time: 0.024, memory: 9544, decode.loss_ce: 0.1776, decode.acc_seg: 93.2565, loss: 0.1776 2023-01-06 03:56:40,668 - mmseg - INFO - Iter [65250/160000] lr: 3.553e-05, eta: 6:40:48, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1722, decode.acc_seg: 93.2051, loss: 0.1722 2023-01-06 03:56:52,940 - mmseg - INFO - Iter [65300/160000] lr: 3.551e-05, eta: 6:40:35, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1629, decode.acc_seg: 93.5939, loss: 0.1629 2023-01-06 03:57:05,131 - mmseg - INFO - Iter [65350/160000] lr: 3.549e-05, eta: 6:40:22, time: 0.244, data_time: 0.035, memory: 9544, decode.loss_ce: 0.1743, decode.acc_seg: 93.1115, loss: 0.1743 2023-01-06 03:57:17,400 - mmseg - INFO - Iter [65400/160000] lr: 3.548e-05, eta: 6:40:08, time: 0.245, data_time: 0.086, memory: 9544, decode.loss_ce: 0.1955, decode.acc_seg: 92.4365, loss: 0.1955 2023-01-06 03:57:29,649 - mmseg - INFO - Iter [65450/160000] lr: 3.546e-05, eta: 6:39:55, time: 0.245, data_time: 0.017, memory: 9544, decode.loss_ce: 0.1792, decode.acc_seg: 93.2263, loss: 0.1792 2023-01-06 03:57:44,243 - mmseg - INFO - Iter [65500/160000] lr: 3.544e-05, eta: 6:39:45, time: 0.292, data_time: 0.064, memory: 9544, decode.loss_ce: 0.1711, decode.acc_seg: 93.1827, loss: 0.1711 2023-01-06 03:57:56,709 - mmseg - INFO - Iter [65550/160000] lr: 3.542e-05, eta: 6:39:32, time: 0.249, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1898, decode.acc_seg: 92.9326, loss: 0.1898 2023-01-06 03:58:08,977 - mmseg - INFO - Iter [65600/160000] lr: 3.540e-05, eta: 6:39:19, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1732, decode.acc_seg: 93.4119, loss: 0.1732 2023-01-06 03:58:21,268 - mmseg - INFO - Iter [65650/160000] lr: 3.538e-05, eta: 6:39:06, time: 0.246, data_time: 0.026, memory: 9544, decode.loss_ce: 0.1796, decode.acc_seg: 93.0578, loss: 0.1796 2023-01-06 03:58:33,415 - mmseg - INFO - Iter [65700/160000] lr: 3.536e-05, eta: 6:38:52, time: 0.243, data_time: 0.019, memory: 9544, decode.loss_ce: 0.1781, decode.acc_seg: 93.3344, loss: 0.1781 2023-01-06 03:58:45,589 - mmseg - INFO - Iter [65750/160000] lr: 3.534e-05, eta: 6:38:39, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1818, decode.acc_seg: 92.9057, loss: 0.1818 2023-01-06 03:58:58,065 - mmseg - INFO - Iter [65800/160000] lr: 3.533e-05, eta: 6:38:26, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1909, decode.acc_seg: 92.8168, loss: 0.1909 2023-01-06 03:59:12,767 - mmseg - INFO - Iter [65850/160000] lr: 3.531e-05, eta: 6:38:16, time: 0.294, data_time: 0.058, memory: 9544, decode.loss_ce: 0.1842, decode.acc_seg: 92.7710, loss: 0.1842 2023-01-06 03:59:24,957 - mmseg - INFO - Iter [65900/160000] lr: 3.529e-05, eta: 6:38:02, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1765, decode.acc_seg: 93.2915, loss: 0.1765 2023-01-06 03:59:37,210 - mmseg - INFO - Iter [65950/160000] lr: 3.527e-05, eta: 6:37:49, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1722, decode.acc_seg: 93.4540, loss: 0.1722 2023-01-06 03:59:49,538 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 03:59:49,538 - mmseg - INFO - Iter [66000/160000] lr: 3.525e-05, eta: 6:37:36, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1713, decode.acc_seg: 93.5898, loss: 0.1713 2023-01-06 04:00:01,656 - mmseg - INFO - Iter [66050/160000] lr: 3.523e-05, eta: 6:37:22, time: 0.242, data_time: 0.021, memory: 9544, decode.loss_ce: 0.1663, decode.acc_seg: 93.5286, loss: 0.1663 2023-01-06 04:00:13,880 - mmseg - INFO - Iter [66100/160000] lr: 3.521e-05, eta: 6:37:09, time: 0.245, data_time: 0.024, memory: 9544, decode.loss_ce: 0.1875, decode.acc_seg: 92.9458, loss: 0.1875 2023-01-06 04:00:26,325 - mmseg - INFO - Iter [66150/160000] lr: 3.519e-05, eta: 6:36:56, time: 0.249, data_time: 0.071, memory: 9544, decode.loss_ce: 0.1737, decode.acc_seg: 93.2909, loss: 0.1737 2023-01-06 04:00:38,606 - mmseg - INFO - Iter [66200/160000] lr: 3.518e-05, eta: 6:36:43, time: 0.246, data_time: 0.031, memory: 9544, decode.loss_ce: 0.1707, decode.acc_seg: 93.2650, loss: 0.1707 2023-01-06 04:00:53,087 - mmseg - INFO - Iter [66250/160000] lr: 3.516e-05, eta: 6:36:33, time: 0.290, data_time: 0.066, memory: 9544, decode.loss_ce: 0.1889, decode.acc_seg: 92.9538, loss: 0.1889 2023-01-06 04:01:05,248 - mmseg - INFO - Iter [66300/160000] lr: 3.514e-05, eta: 6:36:19, time: 0.243, data_time: 0.020, memory: 9544, decode.loss_ce: 0.1809, decode.acc_seg: 93.0697, loss: 0.1809 2023-01-06 04:01:17,629 - mmseg - INFO - Iter [66350/160000] lr: 3.512e-05, eta: 6:36:06, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1906, decode.acc_seg: 92.4139, loss: 0.1906 2023-01-06 04:01:29,755 - mmseg - INFO - Iter [66400/160000] lr: 3.510e-05, eta: 6:35:53, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1769, decode.acc_seg: 93.1572, loss: 0.1769 2023-01-06 04:01:42,273 - mmseg - INFO - Iter [66450/160000] lr: 3.508e-05, eta: 6:35:40, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1742, decode.acc_seg: 93.1886, loss: 0.1742 2023-01-06 04:01:54,609 - mmseg - INFO - Iter [66500/160000] lr: 3.506e-05, eta: 6:35:26, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1724, decode.acc_seg: 93.2735, loss: 0.1724 2023-01-06 04:02:06,851 - mmseg - INFO - Iter [66550/160000] lr: 3.504e-05, eta: 6:35:13, time: 0.245, data_time: 0.031, memory: 9544, decode.loss_ce: 0.1662, decode.acc_seg: 93.5953, loss: 0.1662 2023-01-06 04:02:21,352 - mmseg - INFO - Iter [66600/160000] lr: 3.503e-05, eta: 6:35:03, time: 0.290, data_time: 0.067, memory: 9544, decode.loss_ce: 0.1909, decode.acc_seg: 92.6952, loss: 0.1909 2023-01-06 04:02:33,874 - mmseg - INFO - Iter [66650/160000] lr: 3.501e-05, eta: 6:34:50, time: 0.250, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1728, decode.acc_seg: 93.5027, loss: 0.1728 2023-01-06 04:02:45,993 - mmseg - INFO - Iter [66700/160000] lr: 3.499e-05, eta: 6:34:37, time: 0.242, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1804, decode.acc_seg: 93.3855, loss: 0.1804 2023-01-06 04:02:58,254 - mmseg - INFO - Iter [66750/160000] lr: 3.497e-05, eta: 6:34:23, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1924, decode.acc_seg: 92.7338, loss: 0.1924 2023-01-06 04:03:10,501 - mmseg - INFO - Iter [66800/160000] lr: 3.495e-05, eta: 6:34:10, time: 0.245, data_time: 0.016, memory: 9544, decode.loss_ce: 0.1760, decode.acc_seg: 93.1248, loss: 0.1760 2023-01-06 04:03:22,754 - mmseg - INFO - Iter [66850/160000] lr: 3.493e-05, eta: 6:33:57, time: 0.245, data_time: 0.058, memory: 9544, decode.loss_ce: 0.1671, decode.acc_seg: 93.3998, loss: 0.1671 2023-01-06 04:03:34,948 - mmseg - INFO - Iter [66900/160000] lr: 3.491e-05, eta: 6:33:43, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1798, decode.acc_seg: 92.9693, loss: 0.1798 2023-01-06 04:03:47,181 - mmseg - INFO - Iter [66950/160000] lr: 3.489e-05, eta: 6:33:30, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1779, decode.acc_seg: 93.0996, loss: 0.1779 2023-01-06 04:04:01,773 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 04:04:01,773 - mmseg - INFO - Iter [67000/160000] lr: 3.488e-05, eta: 6:33:20, time: 0.291, data_time: 0.056, memory: 9544, decode.loss_ce: 0.1712, decode.acc_seg: 93.5924, loss: 0.1712 2023-01-06 04:04:14,355 - mmseg - INFO - Iter [67050/160000] lr: 3.486e-05, eta: 6:33:07, time: 0.252, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1762, decode.acc_seg: 93.1261, loss: 0.1762 2023-01-06 04:04:26,496 - mmseg - INFO - Iter [67100/160000] lr: 3.484e-05, eta: 6:32:54, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1698, decode.acc_seg: 93.2458, loss: 0.1698 2023-01-06 04:04:38,775 - mmseg - INFO - Iter [67150/160000] lr: 3.482e-05, eta: 6:32:40, time: 0.246, data_time: 0.015, memory: 9544, decode.loss_ce: 0.1774, decode.acc_seg: 93.1951, loss: 0.1774 2023-01-06 04:04:51,173 - mmseg - INFO - Iter [67200/160000] lr: 3.480e-05, eta: 6:32:27, time: 0.248, data_time: 0.033, memory: 9544, decode.loss_ce: 0.1759, decode.acc_seg: 93.3272, loss: 0.1759 2023-01-06 04:05:03,462 - mmseg - INFO - Iter [67250/160000] lr: 3.478e-05, eta: 6:32:14, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1825, decode.acc_seg: 93.0899, loss: 0.1825 2023-01-06 04:05:15,655 - mmseg - INFO - Iter [67300/160000] lr: 3.476e-05, eta: 6:32:01, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1798, decode.acc_seg: 93.0928, loss: 0.1798 2023-01-06 04:05:30,229 - mmseg - INFO - Iter [67350/160000] lr: 3.474e-05, eta: 6:31:51, time: 0.291, data_time: 0.058, memory: 9544, decode.loss_ce: 0.1773, decode.acc_seg: 93.2920, loss: 0.1773 2023-01-06 04:05:42,600 - mmseg - INFO - Iter [67400/160000] lr: 3.473e-05, eta: 6:31:37, time: 0.247, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1773, decode.acc_seg: 93.3257, loss: 0.1773 2023-01-06 04:05:54,901 - mmseg - INFO - Iter [67450/160000] lr: 3.471e-05, eta: 6:31:24, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1705, decode.acc_seg: 93.4591, loss: 0.1705 2023-01-06 04:06:07,147 - mmseg - INFO - Iter [67500/160000] lr: 3.469e-05, eta: 6:31:11, time: 0.245, data_time: 0.028, memory: 9544, decode.loss_ce: 0.1670, decode.acc_seg: 93.4541, loss: 0.1670 2023-01-06 04:06:19,416 - mmseg - INFO - Iter [67550/160000] lr: 3.467e-05, eta: 6:30:58, time: 0.245, data_time: 0.077, memory: 9544, decode.loss_ce: 0.1764, decode.acc_seg: 93.1733, loss: 0.1764 2023-01-06 04:06:31,691 - mmseg - INFO - Iter [67600/160000] lr: 3.465e-05, eta: 6:30:44, time: 0.246, data_time: 0.021, memory: 9544, decode.loss_ce: 0.1752, decode.acc_seg: 93.3168, loss: 0.1752 2023-01-06 04:06:44,184 - mmseg - INFO - Iter [67650/160000] lr: 3.463e-05, eta: 6:30:32, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1810, decode.acc_seg: 93.0304, loss: 0.1810 2023-01-06 04:06:56,494 - mmseg - INFO - Iter [67700/160000] lr: 3.461e-05, eta: 6:30:18, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1875, decode.acc_seg: 92.9070, loss: 0.1875 2023-01-06 04:07:11,190 - mmseg - INFO - Iter [67750/160000] lr: 3.459e-05, eta: 6:30:08, time: 0.294, data_time: 0.058, memory: 9544, decode.loss_ce: 0.1683, decode.acc_seg: 93.4693, loss: 0.1683 2023-01-06 04:07:23,528 - mmseg - INFO - Iter [67800/160000] lr: 3.458e-05, eta: 6:29:55, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1862, decode.acc_seg: 92.8286, loss: 0.1862 2023-01-06 04:07:35,884 - mmseg - INFO - Iter [67850/160000] lr: 3.456e-05, eta: 6:29:42, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1739, decode.acc_seg: 93.4092, loss: 0.1739 2023-01-06 04:07:48,087 - mmseg - INFO - Iter [67900/160000] lr: 3.454e-05, eta: 6:29:29, time: 0.244, data_time: 0.022, memory: 9544, decode.loss_ce: 0.1908, decode.acc_seg: 92.8997, loss: 0.1908 2023-01-06 04:08:00,385 - mmseg - INFO - Iter [67950/160000] lr: 3.452e-05, eta: 6:29:16, time: 0.246, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1619, decode.acc_seg: 93.7672, loss: 0.1619 2023-01-06 04:08:12,636 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 04:08:12,637 - mmseg - INFO - Iter [68000/160000] lr: 3.450e-05, eta: 6:29:02, time: 0.245, data_time: 0.049, memory: 9544, decode.loss_ce: 0.1917, decode.acc_seg: 92.8819, loss: 0.1917 2023-01-06 04:08:24,991 - mmseg - INFO - Iter [68050/160000] lr: 3.448e-05, eta: 6:28:49, time: 0.247, data_time: 0.084, memory: 9544, decode.loss_ce: 0.1759, decode.acc_seg: 93.1747, loss: 0.1759 2023-01-06 04:08:39,473 - mmseg - INFO - Iter [68100/160000] lr: 3.446e-05, eta: 6:28:39, time: 0.290, data_time: 0.077, memory: 9544, decode.loss_ce: 0.1644, decode.acc_seg: 93.6944, loss: 0.1644 2023-01-06 04:08:51,655 - mmseg - INFO - Iter [68150/160000] lr: 3.444e-05, eta: 6:28:25, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1616, decode.acc_seg: 93.5426, loss: 0.1616 2023-01-06 04:09:04,121 - mmseg - INFO - Iter [68200/160000] lr: 3.443e-05, eta: 6:28:13, time: 0.249, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1749, decode.acc_seg: 93.3311, loss: 0.1749 2023-01-06 04:09:16,431 - mmseg - INFO - Iter [68250/160000] lr: 3.441e-05, eta: 6:27:59, time: 0.246, data_time: 0.031, memory: 9544, decode.loss_ce: 0.1910, decode.acc_seg: 92.8290, loss: 0.1910 2023-01-06 04:09:28,675 - mmseg - INFO - Iter [68300/160000] lr: 3.439e-05, eta: 6:27:46, time: 0.245, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1698, decode.acc_seg: 93.2985, loss: 0.1698 2023-01-06 04:09:40,836 - mmseg - INFO - Iter [68350/160000] lr: 3.437e-05, eta: 6:27:33, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1753, decode.acc_seg: 93.1284, loss: 0.1753 2023-01-06 04:09:53,068 - mmseg - INFO - Iter [68400/160000] lr: 3.435e-05, eta: 6:27:19, time: 0.244, data_time: 0.017, memory: 9544, decode.loss_ce: 0.1737, decode.acc_seg: 93.5125, loss: 0.1737 2023-01-06 04:10:07,552 - mmseg - INFO - Iter [68450/160000] lr: 3.433e-05, eta: 6:27:09, time: 0.290, data_time: 0.055, memory: 9544, decode.loss_ce: 0.1676, decode.acc_seg: 93.5063, loss: 0.1676 2023-01-06 04:10:19,893 - mmseg - INFO - Iter [68500/160000] lr: 3.431e-05, eta: 6:26:56, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1750, decode.acc_seg: 93.4059, loss: 0.1750 2023-01-06 04:10:32,028 - mmseg - INFO - Iter [68550/160000] lr: 3.429e-05, eta: 6:26:42, time: 0.243, data_time: 0.048, memory: 9544, decode.loss_ce: 0.1733, decode.acc_seg: 93.2563, loss: 0.1733 2023-01-06 04:10:44,372 - mmseg - INFO - Iter [68600/160000] lr: 3.428e-05, eta: 6:26:29, time: 0.247, data_time: 0.069, memory: 9544, decode.loss_ce: 0.1721, decode.acc_seg: 93.4648, loss: 0.1721 2023-01-06 04:10:56,764 - mmseg - INFO - Iter [68650/160000] lr: 3.426e-05, eta: 6:26:16, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.2011, decode.acc_seg: 92.6833, loss: 0.2011 2023-01-06 04:11:08,975 - mmseg - INFO - Iter [68700/160000] lr: 3.424e-05, eta: 6:26:03, time: 0.244, data_time: 0.030, memory: 9544, decode.loss_ce: 0.1665, decode.acc_seg: 93.4987, loss: 0.1665 2023-01-06 04:11:21,384 - mmseg - INFO - Iter [68750/160000] lr: 3.422e-05, eta: 6:25:50, time: 0.249, data_time: 0.079, memory: 9544, decode.loss_ce: 0.1639, decode.acc_seg: 93.6212, loss: 0.1639 2023-01-06 04:11:33,866 - mmseg - INFO - Iter [68800/160000] lr: 3.420e-05, eta: 6:25:37, time: 0.250, data_time: 0.071, memory: 9544, decode.loss_ce: 0.1769, decode.acc_seg: 93.3235, loss: 0.1769 2023-01-06 04:11:48,266 - mmseg - INFO - Iter [68850/160000] lr: 3.418e-05, eta: 6:25:27, time: 0.288, data_time: 0.088, memory: 9544, decode.loss_ce: 0.1733, decode.acc_seg: 93.3356, loss: 0.1733 2023-01-06 04:12:00,671 - mmseg - INFO - Iter [68900/160000] lr: 3.416e-05, eta: 6:25:13, time: 0.248, data_time: 0.035, memory: 9544, decode.loss_ce: 0.1725, decode.acc_seg: 93.4369, loss: 0.1725 2023-01-06 04:12:12,981 - mmseg - INFO - Iter [68950/160000] lr: 3.414e-05, eta: 6:25:00, time: 0.246, data_time: 0.016, memory: 9544, decode.loss_ce: 0.1914, decode.acc_seg: 92.7932, loss: 0.1914 2023-01-06 04:12:25,265 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 04:12:25,266 - mmseg - INFO - Iter [69000/160000] lr: 3.413e-05, eta: 6:24:47, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1812, decode.acc_seg: 93.0231, loss: 0.1812 2023-01-06 04:12:37,654 - mmseg - INFO - Iter [69050/160000] lr: 3.411e-05, eta: 6:24:34, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1799, decode.acc_seg: 93.1181, loss: 0.1799 2023-01-06 04:12:49,709 - mmseg - INFO - Iter [69100/160000] lr: 3.409e-05, eta: 6:24:20, time: 0.241, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1787, decode.acc_seg: 93.2155, loss: 0.1787 2023-01-06 04:13:01,793 - mmseg - INFO - Iter [69150/160000] lr: 3.407e-05, eta: 6:24:07, time: 0.241, data_time: 0.021, memory: 9544, decode.loss_ce: 0.1822, decode.acc_seg: 92.9732, loss: 0.1822 2023-01-06 04:13:16,279 - mmseg - INFO - Iter [69200/160000] lr: 3.405e-05, eta: 6:23:57, time: 0.290, data_time: 0.096, memory: 9544, decode.loss_ce: 0.1786, decode.acc_seg: 93.1519, loss: 0.1786 2023-01-06 04:13:28,608 - mmseg - INFO - Iter [69250/160000] lr: 3.403e-05, eta: 6:23:44, time: 0.247, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1721, decode.acc_seg: 93.2360, loss: 0.1721 2023-01-06 04:13:40,860 - mmseg - INFO - Iter [69300/160000] lr: 3.401e-05, eta: 6:23:30, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1841, decode.acc_seg: 92.9980, loss: 0.1841 2023-01-06 04:13:53,111 - mmseg - INFO - Iter [69350/160000] lr: 3.399e-05, eta: 6:23:17, time: 0.245, data_time: 0.031, memory: 9544, decode.loss_ce: 0.1725, decode.acc_seg: 93.4058, loss: 0.1725 2023-01-06 04:14:05,445 - mmseg - INFO - Iter [69400/160000] lr: 3.398e-05, eta: 6:23:04, time: 0.247, data_time: 0.043, memory: 9544, decode.loss_ce: 0.1877, decode.acc_seg: 92.7418, loss: 0.1877 2023-01-06 04:14:17,545 - mmseg - INFO - Iter [69450/160000] lr: 3.396e-05, eta: 6:22:50, time: 0.242, data_time: 0.014, memory: 9544, decode.loss_ce: 0.1824, decode.acc_seg: 92.9983, loss: 0.1824 2023-01-06 04:14:29,846 - mmseg - INFO - Iter [69500/160000] lr: 3.394e-05, eta: 6:22:37, time: 0.246, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1610, decode.acc_seg: 93.6854, loss: 0.1610 2023-01-06 04:14:42,316 - mmseg - INFO - Iter [69550/160000] lr: 3.392e-05, eta: 6:22:24, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1808, decode.acc_seg: 93.2851, loss: 0.1808 2023-01-06 04:14:57,061 - mmseg - INFO - Iter [69600/160000] lr: 3.390e-05, eta: 6:22:14, time: 0.295, data_time: 0.075, memory: 9544, decode.loss_ce: 0.1768, decode.acc_seg: 93.3172, loss: 0.1768 2023-01-06 04:15:09,347 - mmseg - INFO - Iter [69650/160000] lr: 3.388e-05, eta: 6:22:01, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1692, decode.acc_seg: 93.5484, loss: 0.1692 2023-01-06 04:15:21,286 - mmseg - INFO - Iter [69700/160000] lr: 3.386e-05, eta: 6:21:47, time: 0.239, data_time: 0.028, memory: 9544, decode.loss_ce: 0.1733, decode.acc_seg: 93.3540, loss: 0.1733 2023-01-06 04:15:33,561 - mmseg - INFO - Iter [69750/160000] lr: 3.384e-05, eta: 6:21:34, time: 0.245, data_time: 0.022, memory: 9544, decode.loss_ce: 0.1718, decode.acc_seg: 93.2872, loss: 0.1718 2023-01-06 04:15:45,790 - mmseg - INFO - Iter [69800/160000] lr: 3.383e-05, eta: 6:21:21, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1684, decode.acc_seg: 93.6400, loss: 0.1684 2023-01-06 04:15:58,295 - mmseg - INFO - Iter [69850/160000] lr: 3.381e-05, eta: 6:21:08, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1787, decode.acc_seg: 93.1285, loss: 0.1787 2023-01-06 04:16:10,761 - mmseg - INFO - Iter [69900/160000] lr: 3.379e-05, eta: 6:20:55, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1856, decode.acc_seg: 92.7845, loss: 0.1856 2023-01-06 04:16:25,416 - mmseg - INFO - Iter [69950/160000] lr: 3.377e-05, eta: 6:20:45, time: 0.293, data_time: 0.075, memory: 9544, decode.loss_ce: 0.1676, decode.acc_seg: 93.4828, loss: 0.1676 2023-01-06 04:16:37,845 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 04:16:37,845 - mmseg - INFO - Iter [70000/160000] lr: 3.375e-05, eta: 6:20:32, time: 0.249, data_time: 0.029, memory: 9544, decode.loss_ce: 0.1702, decode.acc_seg: 93.3493, loss: 0.1702 2023-01-06 04:16:50,232 - mmseg - INFO - Iter [70050/160000] lr: 3.373e-05, eta: 6:20:19, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1633, decode.acc_seg: 93.6212, loss: 0.1633 2023-01-06 04:17:02,620 - mmseg - INFO - Iter [70100/160000] lr: 3.371e-05, eta: 6:20:06, time: 0.248, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1729, decode.acc_seg: 93.2654, loss: 0.1729 2023-01-06 04:17:15,142 - mmseg - INFO - Iter [70150/160000] lr: 3.369e-05, eta: 6:19:53, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1828, decode.acc_seg: 93.1933, loss: 0.1828 2023-01-06 04:17:27,650 - mmseg - INFO - Iter [70200/160000] lr: 3.368e-05, eta: 6:19:40, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1687, decode.acc_seg: 93.5468, loss: 0.1687 2023-01-06 04:17:40,139 - mmseg - INFO - Iter [70250/160000] lr: 3.366e-05, eta: 6:19:27, time: 0.250, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1735, decode.acc_seg: 93.2372, loss: 0.1735 2023-01-06 04:17:52,357 - mmseg - INFO - Iter [70300/160000] lr: 3.364e-05, eta: 6:19:14, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1749, decode.acc_seg: 93.3543, loss: 0.1749 2023-01-06 04:18:06,936 - mmseg - INFO - Iter [70350/160000] lr: 3.362e-05, eta: 6:19:03, time: 0.292, data_time: 0.054, memory: 9544, decode.loss_ce: 0.1863, decode.acc_seg: 92.9113, loss: 0.1863 2023-01-06 04:18:19,055 - mmseg - INFO - Iter [70400/160000] lr: 3.360e-05, eta: 6:18:50, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1745, decode.acc_seg: 93.2829, loss: 0.1745 2023-01-06 04:18:31,334 - mmseg - INFO - Iter [70450/160000] lr: 3.358e-05, eta: 6:18:37, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1675, decode.acc_seg: 93.6029, loss: 0.1675 2023-01-06 04:18:43,612 - mmseg - INFO - Iter [70500/160000] lr: 3.356e-05, eta: 6:18:24, time: 0.246, data_time: 0.027, memory: 9544, decode.loss_ce: 0.1698, decode.acc_seg: 93.4041, loss: 0.1698 2023-01-06 04:18:55,767 - mmseg - INFO - Iter [70550/160000] lr: 3.354e-05, eta: 6:18:10, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1629, decode.acc_seg: 93.5871, loss: 0.1629 2023-01-06 04:19:07,987 - mmseg - INFO - Iter [70600/160000] lr: 3.353e-05, eta: 6:17:57, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1706, decode.acc_seg: 93.4233, loss: 0.1706 2023-01-06 04:19:20,332 - mmseg - INFO - Iter [70650/160000] lr: 3.351e-05, eta: 6:17:44, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1678, decode.acc_seg: 93.4629, loss: 0.1678 2023-01-06 04:19:34,783 - mmseg - INFO - Iter [70700/160000] lr: 3.349e-05, eta: 6:17:33, time: 0.289, data_time: 0.055, memory: 9544, decode.loss_ce: 0.1848, decode.acc_seg: 92.5806, loss: 0.1848 2023-01-06 04:19:47,169 - mmseg - INFO - Iter [70750/160000] lr: 3.347e-05, eta: 6:17:20, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1837, decode.acc_seg: 93.1551, loss: 0.1837 2023-01-06 04:19:59,456 - mmseg - INFO - Iter [70800/160000] lr: 3.345e-05, eta: 6:17:07, time: 0.246, data_time: 0.025, memory: 9544, decode.loss_ce: 0.1720, decode.acc_seg: 93.3261, loss: 0.1720 2023-01-06 04:20:11,897 - mmseg - INFO - Iter [70850/160000] lr: 3.343e-05, eta: 6:16:54, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1591, decode.acc_seg: 93.8356, loss: 0.1591 2023-01-06 04:20:23,961 - mmseg - INFO - Iter [70900/160000] lr: 3.341e-05, eta: 6:16:41, time: 0.241, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1566, decode.acc_seg: 93.7779, loss: 0.1566 2023-01-06 04:20:36,190 - mmseg - INFO - Iter [70950/160000] lr: 3.339e-05, eta: 6:16:28, time: 0.245, data_time: 0.019, memory: 9544, decode.loss_ce: 0.1595, decode.acc_seg: 93.7006, loss: 0.1595 2023-01-06 04:20:48,470 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 04:20:48,471 - mmseg - INFO - Iter [71000/160000] lr: 3.338e-05, eta: 6:16:14, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1620, decode.acc_seg: 93.8088, loss: 0.1620 2023-01-06 04:21:00,847 - mmseg - INFO - Iter [71050/160000] lr: 3.336e-05, eta: 6:16:01, time: 0.248, data_time: 0.014, memory: 9544, decode.loss_ce: 0.1731, decode.acc_seg: 93.2873, loss: 0.1731 2023-01-06 04:21:15,397 - mmseg - INFO - Iter [71100/160000] lr: 3.334e-05, eta: 6:15:51, time: 0.291, data_time: 0.060, memory: 9544, decode.loss_ce: 0.1678, decode.acc_seg: 93.6232, loss: 0.1678 2023-01-06 04:21:27,653 - mmseg - INFO - Iter [71150/160000] lr: 3.332e-05, eta: 6:15:38, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1595, decode.acc_seg: 93.8226, loss: 0.1595 2023-01-06 04:21:40,186 - mmseg - INFO - Iter [71200/160000] lr: 3.330e-05, eta: 6:15:25, time: 0.251, data_time: 0.017, memory: 9544, decode.loss_ce: 0.1752, decode.acc_seg: 93.3847, loss: 0.1752 2023-01-06 04:21:52,555 - mmseg - INFO - Iter [71250/160000] lr: 3.328e-05, eta: 6:15:12, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1916, decode.acc_seg: 92.7518, loss: 0.1916 2023-01-06 04:22:04,717 - mmseg - INFO - Iter [71300/160000] lr: 3.326e-05, eta: 6:14:58, time: 0.243, data_time: 0.014, memory: 9544, decode.loss_ce: 0.1926, decode.acc_seg: 92.7856, loss: 0.1926 2023-01-06 04:22:17,284 - mmseg - INFO - Iter [71350/160000] lr: 3.324e-05, eta: 6:14:46, time: 0.251, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1676, decode.acc_seg: 93.5443, loss: 0.1676 2023-01-06 04:22:29,603 - mmseg - INFO - Iter [71400/160000] lr: 3.323e-05, eta: 6:14:32, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1826, decode.acc_seg: 93.1170, loss: 0.1826 2023-01-06 04:22:44,071 - mmseg - INFO - Iter [71450/160000] lr: 3.321e-05, eta: 6:14:22, time: 0.290, data_time: 0.063, memory: 9544, decode.loss_ce: 0.1572, decode.acc_seg: 93.9720, loss: 0.1572 2023-01-06 04:22:56,414 - mmseg - INFO - Iter [71500/160000] lr: 3.319e-05, eta: 6:14:09, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1650, decode.acc_seg: 93.5386, loss: 0.1650 2023-01-06 04:23:08,752 - mmseg - INFO - Iter [71550/160000] lr: 3.317e-05, eta: 6:13:56, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1669, decode.acc_seg: 93.4767, loss: 0.1669 2023-01-06 04:23:20,943 - mmseg - INFO - Iter [71600/160000] lr: 3.315e-05, eta: 6:13:42, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1712, decode.acc_seg: 93.3743, loss: 0.1712 2023-01-06 04:23:33,227 - mmseg - INFO - Iter [71650/160000] lr: 3.313e-05, eta: 6:13:29, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1711, decode.acc_seg: 93.3542, loss: 0.1711 2023-01-06 04:23:45,507 - mmseg - INFO - Iter [71700/160000] lr: 3.311e-05, eta: 6:13:16, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1702, decode.acc_seg: 93.4403, loss: 0.1702 2023-01-06 04:23:57,518 - mmseg - INFO - Iter [71750/160000] lr: 3.309e-05, eta: 6:13:03, time: 0.240, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1675, decode.acc_seg: 93.4671, loss: 0.1675 2023-01-06 04:24:12,112 - mmseg - INFO - Iter [71800/160000] lr: 3.308e-05, eta: 6:12:52, time: 0.292, data_time: 0.054, memory: 9544, decode.loss_ce: 0.1927, decode.acc_seg: 92.6415, loss: 0.1927 2023-01-06 04:24:24,610 - mmseg - INFO - Iter [71850/160000] lr: 3.306e-05, eta: 6:12:39, time: 0.250, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1725, decode.acc_seg: 93.4553, loss: 0.1725 2023-01-06 04:24:36,972 - mmseg - INFO - Iter [71900/160000] lr: 3.304e-05, eta: 6:12:26, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1625, decode.acc_seg: 93.7075, loss: 0.1625 2023-01-06 04:24:49,341 - mmseg - INFO - Iter [71950/160000] lr: 3.302e-05, eta: 6:12:13, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1817, decode.acc_seg: 93.1623, loss: 0.1817 2023-01-06 04:25:01,746 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 04:25:01,747 - mmseg - INFO - Iter [72000/160000] lr: 3.300e-05, eta: 6:12:00, time: 0.248, data_time: 0.046, memory: 9544, decode.loss_ce: 0.1762, decode.acc_seg: 93.3503, loss: 0.1762 2023-01-06 04:25:14,312 - mmseg - INFO - Iter [72050/160000] lr: 3.298e-05, eta: 6:11:47, time: 0.251, data_time: 0.045, memory: 9544, decode.loss_ce: 0.1785, decode.acc_seg: 93.1740, loss: 0.1785 2023-01-06 04:25:26,651 - mmseg - INFO - Iter [72100/160000] lr: 3.296e-05, eta: 6:11:34, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1684, decode.acc_seg: 93.4033, loss: 0.1684 2023-01-06 04:25:39,283 - mmseg - INFO - Iter [72150/160000] lr: 3.294e-05, eta: 6:11:22, time: 0.252, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1731, decode.acc_seg: 93.3831, loss: 0.1731 2023-01-06 04:25:54,350 - mmseg - INFO - Iter [72200/160000] lr: 3.293e-05, eta: 6:11:12, time: 0.301, data_time: 0.095, memory: 9544, decode.loss_ce: 0.1606, decode.acc_seg: 93.8316, loss: 0.1606 2023-01-06 04:26:06,874 - mmseg - INFO - Iter [72250/160000] lr: 3.291e-05, eta: 6:10:59, time: 0.250, data_time: 0.042, memory: 9544, decode.loss_ce: 0.1748, decode.acc_seg: 93.3955, loss: 0.1748 2023-01-06 04:26:19,572 - mmseg - INFO - Iter [72300/160000] lr: 3.289e-05, eta: 6:10:46, time: 0.254, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1745, decode.acc_seg: 93.3403, loss: 0.1745 2023-01-06 04:26:32,100 - mmseg - INFO - Iter [72350/160000] lr: 3.287e-05, eta: 6:10:33, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1813, decode.acc_seg: 92.8967, loss: 0.1813 2023-01-06 04:26:44,301 - mmseg - INFO - Iter [72400/160000] lr: 3.285e-05, eta: 6:10:20, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1709, decode.acc_seg: 93.4182, loss: 0.1709 2023-01-06 04:26:56,701 - mmseg - INFO - Iter [72450/160000] lr: 3.283e-05, eta: 6:10:07, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1607, decode.acc_seg: 93.5329, loss: 0.1607 2023-01-06 04:27:09,259 - mmseg - INFO - Iter [72500/160000] lr: 3.281e-05, eta: 6:09:54, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1621, decode.acc_seg: 93.8482, loss: 0.1621 2023-01-06 04:27:23,591 - mmseg - INFO - Iter [72550/160000] lr: 3.279e-05, eta: 6:09:44, time: 0.286, data_time: 0.064, memory: 9544, decode.loss_ce: 0.1875, decode.acc_seg: 92.7207, loss: 0.1875 2023-01-06 04:27:36,243 - mmseg - INFO - Iter [72600/160000] lr: 3.278e-05, eta: 6:09:31, time: 0.253, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1872, decode.acc_seg: 92.6029, loss: 0.1872 2023-01-06 04:27:48,807 - mmseg - INFO - Iter [72650/160000] lr: 3.276e-05, eta: 6:09:18, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1751, decode.acc_seg: 93.4090, loss: 0.1751 2023-01-06 04:28:01,209 - mmseg - INFO - Iter [72700/160000] lr: 3.274e-05, eta: 6:09:05, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1740, decode.acc_seg: 93.4094, loss: 0.1740 2023-01-06 04:28:13,682 - mmseg - INFO - Iter [72750/160000] lr: 3.272e-05, eta: 6:08:52, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1678, decode.acc_seg: 93.5601, loss: 0.1678 2023-01-06 04:28:26,124 - mmseg - INFO - Iter [72800/160000] lr: 3.270e-05, eta: 6:08:39, time: 0.249, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1736, decode.acc_seg: 93.3576, loss: 0.1736 2023-01-06 04:28:38,281 - mmseg - INFO - Iter [72850/160000] lr: 3.268e-05, eta: 6:08:26, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1716, decode.acc_seg: 93.2683, loss: 0.1716 2023-01-06 04:28:50,711 - mmseg - INFO - Iter [72900/160000] lr: 3.266e-05, eta: 6:08:13, time: 0.249, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1659, decode.acc_seg: 93.6109, loss: 0.1659 2023-01-06 04:29:05,778 - mmseg - INFO - Iter [72950/160000] lr: 3.264e-05, eta: 6:08:03, time: 0.301, data_time: 0.074, memory: 9544, decode.loss_ce: 0.1682, decode.acc_seg: 93.4089, loss: 0.1682 2023-01-06 04:29:17,975 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 04:29:17,978 - mmseg - INFO - Iter [73000/160000] lr: 3.263e-05, eta: 6:07:50, time: 0.244, data_time: 0.016, memory: 9544, decode.loss_ce: 0.1767, decode.acc_seg: 93.1757, loss: 0.1767 2023-01-06 04:29:30,148 - mmseg - INFO - Iter [73050/160000] lr: 3.261e-05, eta: 6:07:36, time: 0.244, data_time: 0.075, memory: 9544, decode.loss_ce: 0.1751, decode.acc_seg: 93.4415, loss: 0.1751 2023-01-06 04:29:42,205 - mmseg - INFO - Iter [73100/160000] lr: 3.259e-05, eta: 6:07:23, time: 0.241, data_time: 0.033, memory: 9544, decode.loss_ce: 0.1771, decode.acc_seg: 93.2377, loss: 0.1771 2023-01-06 04:29:54,494 - mmseg - INFO - Iter [73150/160000] lr: 3.257e-05, eta: 6:07:10, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1567, decode.acc_seg: 93.7896, loss: 0.1567 2023-01-06 04:30:06,570 - mmseg - INFO - Iter [73200/160000] lr: 3.255e-05, eta: 6:06:56, time: 0.241, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1666, decode.acc_seg: 93.5544, loss: 0.1666 2023-01-06 04:30:19,042 - mmseg - INFO - Iter [73250/160000] lr: 3.253e-05, eta: 6:06:43, time: 0.250, data_time: 0.023, memory: 9544, decode.loss_ce: 0.1602, decode.acc_seg: 93.8284, loss: 0.1602 2023-01-06 04:30:33,510 - mmseg - INFO - Iter [73300/160000] lr: 3.251e-05, eta: 6:06:33, time: 0.289, data_time: 0.055, memory: 9544, decode.loss_ce: 0.1560, decode.acc_seg: 93.8655, loss: 0.1560 2023-01-06 04:30:45,642 - mmseg - INFO - Iter [73350/160000] lr: 3.249e-05, eta: 6:06:20, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1608, decode.acc_seg: 93.7112, loss: 0.1608 2023-01-06 04:30:58,091 - mmseg - INFO - Iter [73400/160000] lr: 3.248e-05, eta: 6:06:07, time: 0.249, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1778, decode.acc_seg: 93.3483, loss: 0.1778 2023-01-06 04:31:10,221 - mmseg - INFO - Iter [73450/160000] lr: 3.246e-05, eta: 6:05:53, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1695, decode.acc_seg: 93.5750, loss: 0.1695 2023-01-06 04:31:22,441 - mmseg - INFO - Iter [73500/160000] lr: 3.244e-05, eta: 6:05:40, time: 0.244, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1897, decode.acc_seg: 92.7088, loss: 0.1897 2023-01-06 04:31:34,582 - mmseg - INFO - Iter [73550/160000] lr: 3.242e-05, eta: 6:05:27, time: 0.243, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1708, decode.acc_seg: 93.5457, loss: 0.1708 2023-01-06 04:31:46,815 - mmseg - INFO - Iter [73600/160000] lr: 3.240e-05, eta: 6:05:13, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1740, decode.acc_seg: 93.2619, loss: 0.1740 2023-01-06 04:31:59,216 - mmseg - INFO - Iter [73650/160000] lr: 3.238e-05, eta: 6:05:00, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1652, decode.acc_seg: 93.6480, loss: 0.1652 2023-01-06 04:32:13,643 - mmseg - INFO - Iter [73700/160000] lr: 3.236e-05, eta: 6:04:50, time: 0.288, data_time: 0.054, memory: 9544, decode.loss_ce: 0.1585, decode.acc_seg: 93.7462, loss: 0.1585 2023-01-06 04:32:26,002 - mmseg - INFO - Iter [73750/160000] lr: 3.234e-05, eta: 6:04:37, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1707, decode.acc_seg: 93.6095, loss: 0.1707 2023-01-06 04:32:38,298 - mmseg - INFO - Iter [73800/160000] lr: 3.233e-05, eta: 6:04:24, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1749, decode.acc_seg: 93.1350, loss: 0.1749 2023-01-06 04:32:50,719 - mmseg - INFO - Iter [73850/160000] lr: 3.231e-05, eta: 6:04:11, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1656, decode.acc_seg: 93.5430, loss: 0.1656 2023-01-06 04:33:03,202 - mmseg - INFO - Iter [73900/160000] lr: 3.229e-05, eta: 6:03:58, time: 0.250, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1608, decode.acc_seg: 93.6631, loss: 0.1608 2023-01-06 04:33:15,785 - mmseg - INFO - Iter [73950/160000] lr: 3.227e-05, eta: 6:03:45, time: 0.252, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1726, decode.acc_seg: 93.2633, loss: 0.1726 2023-01-06 04:33:28,450 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 04:33:28,451 - mmseg - INFO - Iter [74000/160000] lr: 3.225e-05, eta: 6:03:32, time: 0.253, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1762, decode.acc_seg: 93.3875, loss: 0.1762 2023-01-06 04:33:43,029 - mmseg - INFO - Iter [74050/160000] lr: 3.223e-05, eta: 6:03:22, time: 0.291, data_time: 0.082, memory: 9544, decode.loss_ce: 0.1605, decode.acc_seg: 93.7721, loss: 0.1605 2023-01-06 04:33:55,528 - mmseg - INFO - Iter [74100/160000] lr: 3.221e-05, eta: 6:03:09, time: 0.250, data_time: 0.016, memory: 9544, decode.loss_ce: 0.1583, decode.acc_seg: 93.8612, loss: 0.1583 2023-01-06 04:34:07,786 - mmseg - INFO - Iter [74150/160000] lr: 3.219e-05, eta: 6:02:56, time: 0.245, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1789, decode.acc_seg: 93.0747, loss: 0.1789 2023-01-06 04:34:20,107 - mmseg - INFO - Iter [74200/160000] lr: 3.218e-05, eta: 6:02:43, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1808, decode.acc_seg: 93.2997, loss: 0.1808 2023-01-06 04:34:32,635 - mmseg - INFO - Iter [74250/160000] lr: 3.216e-05, eta: 6:02:30, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1731, decode.acc_seg: 93.2257, loss: 0.1731 2023-01-06 04:34:44,753 - mmseg - INFO - Iter [74300/160000] lr: 3.214e-05, eta: 6:02:16, time: 0.242, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1764, decode.acc_seg: 93.3188, loss: 0.1764 2023-01-06 04:34:57,265 - mmseg - INFO - Iter [74350/160000] lr: 3.212e-05, eta: 6:02:04, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1607, decode.acc_seg: 93.6357, loss: 0.1607 2023-01-06 04:35:09,495 - mmseg - INFO - Iter [74400/160000] lr: 3.210e-05, eta: 6:01:50, time: 0.245, data_time: 0.024, memory: 9544, decode.loss_ce: 0.1616, decode.acc_seg: 93.7203, loss: 0.1616 2023-01-06 04:35:24,373 - mmseg - INFO - Iter [74450/160000] lr: 3.208e-05, eta: 6:01:40, time: 0.297, data_time: 0.055, memory: 9544, decode.loss_ce: 0.1632, decode.acc_seg: 93.6709, loss: 0.1632 2023-01-06 04:35:36,784 - mmseg - INFO - Iter [74500/160000] lr: 3.206e-05, eta: 6:01:27, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1736, decode.acc_seg: 93.2479, loss: 0.1736 2023-01-06 04:35:49,181 - mmseg - INFO - Iter [74550/160000] lr: 3.204e-05, eta: 6:01:14, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1658, decode.acc_seg: 93.4233, loss: 0.1658 2023-01-06 04:36:01,295 - mmseg - INFO - Iter [74600/160000] lr: 3.203e-05, eta: 6:01:01, time: 0.242, data_time: 0.027, memory: 9544, decode.loss_ce: 0.1668, decode.acc_seg: 93.5662, loss: 0.1668 2023-01-06 04:36:13,530 - mmseg - INFO - Iter [74650/160000] lr: 3.201e-05, eta: 6:00:48, time: 0.245, data_time: 0.076, memory: 9544, decode.loss_ce: 0.1650, decode.acc_seg: 93.6460, loss: 0.1650 2023-01-06 04:36:25,820 - mmseg - INFO - Iter [74700/160000] lr: 3.199e-05, eta: 6:00:34, time: 0.246, data_time: 0.017, memory: 9544, decode.loss_ce: 0.1820, decode.acc_seg: 93.2096, loss: 0.1820 2023-01-06 04:36:38,012 - mmseg - INFO - Iter [74750/160000] lr: 3.197e-05, eta: 6:00:21, time: 0.244, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1821, decode.acc_seg: 93.0519, loss: 0.1821 2023-01-06 04:36:52,646 - mmseg - INFO - Iter [74800/160000] lr: 3.195e-05, eta: 6:00:11, time: 0.293, data_time: 0.105, memory: 9544, decode.loss_ce: 0.1754, decode.acc_seg: 93.4445, loss: 0.1754 2023-01-06 04:37:04,911 - mmseg - INFO - Iter [74850/160000] lr: 3.193e-05, eta: 5:59:58, time: 0.245, data_time: 0.021, memory: 9544, decode.loss_ce: 0.1711, decode.acc_seg: 93.3274, loss: 0.1711 2023-01-06 04:37:17,114 - mmseg - INFO - Iter [74900/160000] lr: 3.191e-05, eta: 5:59:44, time: 0.244, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1645, decode.acc_seg: 93.4949, loss: 0.1645 2023-01-06 04:37:29,458 - mmseg - INFO - Iter [74950/160000] lr: 3.189e-05, eta: 5:59:31, time: 0.247, data_time: 0.056, memory: 9544, decode.loss_ce: 0.1631, decode.acc_seg: 93.4445, loss: 0.1631 2023-01-06 04:37:41,920 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 04:37:41,921 - mmseg - INFO - Iter [75000/160000] lr: 3.188e-05, eta: 5:59:18, time: 0.249, data_time: 0.030, memory: 9544, decode.loss_ce: 0.1575, decode.acc_seg: 93.7717, loss: 0.1575 2023-01-06 04:37:54,535 - mmseg - INFO - Iter [75050/160000] lr: 3.186e-05, eta: 5:59:06, time: 0.252, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1642, decode.acc_seg: 93.7080, loss: 0.1642 2023-01-06 04:38:06,890 - mmseg - INFO - Iter [75100/160000] lr: 3.184e-05, eta: 5:58:53, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1788, decode.acc_seg: 93.1095, loss: 0.1788 2023-01-06 04:38:21,380 - mmseg - INFO - Iter [75150/160000] lr: 3.182e-05, eta: 5:58:42, time: 0.290, data_time: 0.063, memory: 9544, decode.loss_ce: 0.1749, decode.acc_seg: 93.3289, loss: 0.1749 2023-01-06 04:38:33,884 - mmseg - INFO - Iter [75200/160000] lr: 3.180e-05, eta: 5:58:29, time: 0.250, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1666, decode.acc_seg: 93.5379, loss: 0.1666 2023-01-06 04:38:46,295 - mmseg - INFO - Iter [75250/160000] lr: 3.178e-05, eta: 5:58:16, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1725, decode.acc_seg: 93.3021, loss: 0.1725 2023-01-06 04:38:58,283 - mmseg - INFO - Iter [75300/160000] lr: 3.176e-05, eta: 5:58:03, time: 0.240, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1692, decode.acc_seg: 93.4195, loss: 0.1692 2023-01-06 04:39:10,646 - mmseg - INFO - Iter [75350/160000] lr: 3.174e-05, eta: 5:57:50, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1735, decode.acc_seg: 93.5120, loss: 0.1735 2023-01-06 04:39:23,153 - mmseg - INFO - Iter [75400/160000] lr: 3.173e-05, eta: 5:57:37, time: 0.250, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1842, decode.acc_seg: 93.0943, loss: 0.1842 2023-01-06 04:39:35,486 - mmseg - INFO - Iter [75450/160000] lr: 3.171e-05, eta: 5:57:24, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1682, decode.acc_seg: 93.4896, loss: 0.1682 2023-01-06 04:39:47,839 - mmseg - INFO - Iter [75500/160000] lr: 3.169e-05, eta: 5:57:11, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1654, decode.acc_seg: 93.6145, loss: 0.1654 2023-01-06 04:40:02,329 - mmseg - INFO - Iter [75550/160000] lr: 3.167e-05, eta: 5:57:00, time: 0.290, data_time: 0.081, memory: 9544, decode.loss_ce: 0.1631, decode.acc_seg: 93.6960, loss: 0.1631 2023-01-06 04:40:14,596 - mmseg - INFO - Iter [75600/160000] lr: 3.165e-05, eta: 5:56:47, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1624, decode.acc_seg: 93.6359, loss: 0.1624 2023-01-06 04:40:27,182 - mmseg - INFO - Iter [75650/160000] lr: 3.163e-05, eta: 5:56:34, time: 0.252, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1715, decode.acc_seg: 93.5075, loss: 0.1715 2023-01-06 04:40:39,495 - mmseg - INFO - Iter [75700/160000] lr: 3.161e-05, eta: 5:56:21, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1847, decode.acc_seg: 92.9295, loss: 0.1847 2023-01-06 04:40:51,861 - mmseg - INFO - Iter [75750/160000] lr: 3.159e-05, eta: 5:56:08, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1812, decode.acc_seg: 93.0034, loss: 0.1812 2023-01-06 04:41:03,997 - mmseg - INFO - Iter [75800/160000] lr: 3.158e-05, eta: 5:55:55, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1823, decode.acc_seg: 93.0493, loss: 0.1823 2023-01-06 04:41:16,430 - mmseg - INFO - Iter [75850/160000] lr: 3.156e-05, eta: 5:55:42, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1742, decode.acc_seg: 93.3932, loss: 0.1742 2023-01-06 04:41:30,954 - mmseg - INFO - Iter [75900/160000] lr: 3.154e-05, eta: 5:55:31, time: 0.291, data_time: 0.058, memory: 9544, decode.loss_ce: 0.1647, decode.acc_seg: 93.7833, loss: 0.1647 2023-01-06 04:41:43,283 - mmseg - INFO - Iter [75950/160000] lr: 3.152e-05, eta: 5:55:18, time: 0.247, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1775, decode.acc_seg: 93.2064, loss: 0.1775 2023-01-06 04:41:55,542 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 04:41:55,543 - mmseg - INFO - Iter [76000/160000] lr: 3.150e-05, eta: 5:55:05, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1639, decode.acc_seg: 93.6824, loss: 0.1639 2023-01-06 04:42:07,697 - mmseg - INFO - Iter [76050/160000] lr: 3.148e-05, eta: 5:54:51, time: 0.243, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1655, decode.acc_seg: 93.6076, loss: 0.1655 2023-01-06 04:42:19,891 - mmseg - INFO - Iter [76100/160000] lr: 3.146e-05, eta: 5:54:38, time: 0.244, data_time: 0.039, memory: 9544, decode.loss_ce: 0.1615, decode.acc_seg: 93.8144, loss: 0.1615 2023-01-06 04:42:32,105 - mmseg - INFO - Iter [76150/160000] lr: 3.144e-05, eta: 5:54:25, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1570, decode.acc_seg: 93.8589, loss: 0.1570 2023-01-06 04:42:44,220 - mmseg - INFO - Iter [76200/160000] lr: 3.143e-05, eta: 5:54:12, time: 0.242, data_time: 0.062, memory: 9544, decode.loss_ce: 0.1701, decode.acc_seg: 93.3458, loss: 0.1701 2023-01-06 04:42:56,484 - mmseg - INFO - Iter [76250/160000] lr: 3.141e-05, eta: 5:53:59, time: 0.246, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1666, decode.acc_seg: 93.4089, loss: 0.1666 2023-01-06 04:43:11,079 - mmseg - INFO - Iter [76300/160000] lr: 3.139e-05, eta: 5:53:48, time: 0.292, data_time: 0.071, memory: 9544, decode.loss_ce: 0.1822, decode.acc_seg: 92.9838, loss: 0.1822 2023-01-06 04:43:23,141 - mmseg - INFO - Iter [76350/160000] lr: 3.137e-05, eta: 5:53:35, time: 0.241, data_time: 0.015, memory: 9544, decode.loss_ce: 0.1806, decode.acc_seg: 92.9845, loss: 0.1806 2023-01-06 04:43:35,441 - mmseg - INFO - Iter [76400/160000] lr: 3.135e-05, eta: 5:53:22, time: 0.246, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1793, decode.acc_seg: 93.3329, loss: 0.1793 2023-01-06 04:43:47,468 - mmseg - INFO - Iter [76450/160000] lr: 3.133e-05, eta: 5:53:08, time: 0.241, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1636, decode.acc_seg: 93.8090, loss: 0.1636 2023-01-06 04:43:59,817 - mmseg - INFO - Iter [76500/160000] lr: 3.131e-05, eta: 5:52:55, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1578, decode.acc_seg: 93.8978, loss: 0.1578 2023-01-06 04:44:12,140 - mmseg - INFO - Iter [76550/160000] lr: 3.129e-05, eta: 5:52:42, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1649, decode.acc_seg: 93.5804, loss: 0.1649 2023-01-06 04:44:24,407 - mmseg - INFO - Iter [76600/160000] lr: 3.128e-05, eta: 5:52:29, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1679, decode.acc_seg: 93.4668, loss: 0.1679 2023-01-06 04:44:38,970 - mmseg - INFO - Iter [76650/160000] lr: 3.126e-05, eta: 5:52:18, time: 0.291, data_time: 0.060, memory: 9544, decode.loss_ce: 0.1580, decode.acc_seg: 94.0310, loss: 0.1580 2023-01-06 04:44:51,569 - mmseg - INFO - Iter [76700/160000] lr: 3.124e-05, eta: 5:52:06, time: 0.252, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1682, decode.acc_seg: 93.6246, loss: 0.1682 2023-01-06 04:45:03,986 - mmseg - INFO - Iter [76750/160000] lr: 3.122e-05, eta: 5:51:53, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1715, decode.acc_seg: 93.4436, loss: 0.1715 2023-01-06 04:45:16,149 - mmseg - INFO - Iter [76800/160000] lr: 3.120e-05, eta: 5:51:39, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1618, decode.acc_seg: 93.7458, loss: 0.1618 2023-01-06 04:45:28,584 - mmseg - INFO - Iter [76850/160000] lr: 3.118e-05, eta: 5:51:26, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1607, decode.acc_seg: 93.7257, loss: 0.1607 2023-01-06 04:45:40,907 - mmseg - INFO - Iter [76900/160000] lr: 3.116e-05, eta: 5:51:13, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1820, decode.acc_seg: 92.9735, loss: 0.1820 2023-01-06 04:45:53,069 - mmseg - INFO - Iter [76950/160000] lr: 3.114e-05, eta: 5:51:00, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1540, decode.acc_seg: 93.9453, loss: 0.1540 2023-01-06 04:46:05,379 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 04:46:05,380 - mmseg - INFO - Iter [77000/160000] lr: 3.113e-05, eta: 5:50:47, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1718, decode.acc_seg: 93.4572, loss: 0.1718 2023-01-06 04:46:19,875 - mmseg - INFO - Iter [77050/160000] lr: 3.111e-05, eta: 5:50:36, time: 0.290, data_time: 0.077, memory: 9544, decode.loss_ce: 0.1588, decode.acc_seg: 93.7337, loss: 0.1588 2023-01-06 04:46:32,277 - mmseg - INFO - Iter [77100/160000] lr: 3.109e-05, eta: 5:50:23, time: 0.248, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1780, decode.acc_seg: 93.3109, loss: 0.1780 2023-01-06 04:46:44,286 - mmseg - INFO - Iter [77150/160000] lr: 3.107e-05, eta: 5:50:10, time: 0.240, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1652, decode.acc_seg: 93.6014, loss: 0.1652 2023-01-06 04:46:56,681 - mmseg - INFO - Iter [77200/160000] lr: 3.105e-05, eta: 5:49:57, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1678, decode.acc_seg: 93.4755, loss: 0.1678 2023-01-06 04:47:09,057 - mmseg - INFO - Iter [77250/160000] lr: 3.103e-05, eta: 5:49:44, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1468, decode.acc_seg: 94.1242, loss: 0.1468 2023-01-06 04:47:21,602 - mmseg - INFO - Iter [77300/160000] lr: 3.101e-05, eta: 5:49:31, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1643, decode.acc_seg: 93.6806, loss: 0.1643 2023-01-06 04:47:34,274 - mmseg - INFO - Iter [77350/160000] lr: 3.099e-05, eta: 5:49:18, time: 0.254, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1660, decode.acc_seg: 93.5705, loss: 0.1660 2023-01-06 04:47:48,834 - mmseg - INFO - Iter [77400/160000] lr: 3.098e-05, eta: 5:49:08, time: 0.291, data_time: 0.075, memory: 9544, decode.loss_ce: 0.1501, decode.acc_seg: 94.0173, loss: 0.1501 2023-01-06 04:48:01,038 - mmseg - INFO - Iter [77450/160000] lr: 3.096e-05, eta: 5:48:55, time: 0.244, data_time: 0.062, memory: 9544, decode.loss_ce: 0.1700, decode.acc_seg: 93.3728, loss: 0.1700 2023-01-06 04:48:13,448 - mmseg - INFO - Iter [77500/160000] lr: 3.094e-05, eta: 5:48:42, time: 0.248, data_time: 0.018, memory: 9544, decode.loss_ce: 0.1589, decode.acc_seg: 93.9236, loss: 0.1589 2023-01-06 04:48:25,552 - mmseg - INFO - Iter [77550/160000] lr: 3.092e-05, eta: 5:48:28, time: 0.242, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1494, decode.acc_seg: 94.1315, loss: 0.1494 2023-01-06 04:48:37,921 - mmseg - INFO - Iter [77600/160000] lr: 3.090e-05, eta: 5:48:15, time: 0.247, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1836, decode.acc_seg: 93.0813, loss: 0.1836 2023-01-06 04:48:50,338 - mmseg - INFO - Iter [77650/160000] lr: 3.088e-05, eta: 5:48:02, time: 0.249, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1458, decode.acc_seg: 94.1316, loss: 0.1458 2023-01-06 04:49:02,700 - mmseg - INFO - Iter [77700/160000] lr: 3.086e-05, eta: 5:47:49, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1734, decode.acc_seg: 93.2732, loss: 0.1734 2023-01-06 04:49:17,140 - mmseg - INFO - Iter [77750/160000] lr: 3.084e-05, eta: 5:47:38, time: 0.289, data_time: 0.075, memory: 9544, decode.loss_ce: 0.1745, decode.acc_seg: 93.4505, loss: 0.1745 2023-01-06 04:49:29,611 - mmseg - INFO - Iter [77800/160000] lr: 3.083e-05, eta: 5:47:26, time: 0.250, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1716, decode.acc_seg: 93.3746, loss: 0.1716 2023-01-06 04:49:41,862 - mmseg - INFO - Iter [77850/160000] lr: 3.081e-05, eta: 5:47:12, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1633, decode.acc_seg: 93.7244, loss: 0.1633 2023-01-06 04:49:54,102 - mmseg - INFO - Iter [77900/160000] lr: 3.079e-05, eta: 5:46:59, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1689, decode.acc_seg: 93.7496, loss: 0.1689 2023-01-06 04:50:06,470 - mmseg - INFO - Iter [77950/160000] lr: 3.077e-05, eta: 5:46:46, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1680, decode.acc_seg: 93.4803, loss: 0.1680 2023-01-06 04:50:18,627 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 04:50:18,627 - mmseg - INFO - Iter [78000/160000] lr: 3.075e-05, eta: 5:46:33, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1650, decode.acc_seg: 93.3940, loss: 0.1650 2023-01-06 04:50:30,944 - mmseg - INFO - Iter [78050/160000] lr: 3.073e-05, eta: 5:46:20, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1691, decode.acc_seg: 93.3402, loss: 0.1691 2023-01-06 04:50:43,097 - mmseg - INFO - Iter [78100/160000] lr: 3.071e-05, eta: 5:46:07, time: 0.243, data_time: 0.038, memory: 9544, decode.loss_ce: 0.1732, decode.acc_seg: 93.2145, loss: 0.1732 2023-01-06 04:50:57,447 - mmseg - INFO - Iter [78150/160000] lr: 3.069e-05, eta: 5:45:56, time: 0.287, data_time: 0.093, memory: 9544, decode.loss_ce: 0.1609, decode.acc_seg: 93.6288, loss: 0.1609 2023-01-06 04:51:09,703 - mmseg - INFO - Iter [78200/160000] lr: 3.068e-05, eta: 5:45:43, time: 0.245, data_time: 0.054, memory: 9544, decode.loss_ce: 0.1731, decode.acc_seg: 93.3259, loss: 0.1731 2023-01-06 04:51:22,099 - mmseg - INFO - Iter [78250/160000] lr: 3.066e-05, eta: 5:45:30, time: 0.248, data_time: 0.072, memory: 9544, decode.loss_ce: 0.1700, decode.acc_seg: 93.5297, loss: 0.1700 2023-01-06 04:51:34,534 - mmseg - INFO - Iter [78300/160000] lr: 3.064e-05, eta: 5:45:17, time: 0.248, data_time: 0.028, memory: 9544, decode.loss_ce: 0.1695, decode.acc_seg: 93.3068, loss: 0.1695 2023-01-06 04:51:46,815 - mmseg - INFO - Iter [78350/160000] lr: 3.062e-05, eta: 5:45:04, time: 0.246, data_time: 0.024, memory: 9544, decode.loss_ce: 0.1662, decode.acc_seg: 93.6292, loss: 0.1662 2023-01-06 04:51:59,022 - mmseg - INFO - Iter [78400/160000] lr: 3.060e-05, eta: 5:44:51, time: 0.244, data_time: 0.055, memory: 9544, decode.loss_ce: 0.1612, decode.acc_seg: 93.7525, loss: 0.1612 2023-01-06 04:52:11,179 - mmseg - INFO - Iter [78450/160000] lr: 3.058e-05, eta: 5:44:37, time: 0.243, data_time: 0.040, memory: 9544, decode.loss_ce: 0.1587, decode.acc_seg: 93.7713, loss: 0.1587 2023-01-06 04:52:25,531 - mmseg - INFO - Iter [78500/160000] lr: 3.056e-05, eta: 5:44:26, time: 0.287, data_time: 0.061, memory: 9544, decode.loss_ce: 0.1716, decode.acc_seg: 93.3729, loss: 0.1716 2023-01-06 04:52:37,728 - mmseg - INFO - Iter [78550/160000] lr: 3.054e-05, eta: 5:44:13, time: 0.244, data_time: 0.049, memory: 9544, decode.loss_ce: 0.1733, decode.acc_seg: 93.5083, loss: 0.1733 2023-01-06 04:52:50,148 - mmseg - INFO - Iter [78600/160000] lr: 3.053e-05, eta: 5:44:00, time: 0.248, data_time: 0.081, memory: 9544, decode.loss_ce: 0.1599, decode.acc_seg: 93.8265, loss: 0.1599 2023-01-06 04:53:02,352 - mmseg - INFO - Iter [78650/160000] lr: 3.051e-05, eta: 5:43:47, time: 0.244, data_time: 0.067, memory: 9544, decode.loss_ce: 0.1628, decode.acc_seg: 93.7345, loss: 0.1628 2023-01-06 04:53:14,785 - mmseg - INFO - Iter [78700/160000] lr: 3.049e-05, eta: 5:43:34, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1553, decode.acc_seg: 93.9486, loss: 0.1553 2023-01-06 04:53:26,951 - mmseg - INFO - Iter [78750/160000] lr: 3.047e-05, eta: 5:43:21, time: 0.244, data_time: 0.016, memory: 9544, decode.loss_ce: 0.1453, decode.acc_seg: 94.2736, loss: 0.1453 2023-01-06 04:53:39,155 - mmseg - INFO - Iter [78800/160000] lr: 3.045e-05, eta: 5:43:08, time: 0.244, data_time: 0.033, memory: 9544, decode.loss_ce: 0.1622, decode.acc_seg: 93.6108, loss: 0.1622 2023-01-06 04:53:51,420 - mmseg - INFO - Iter [78850/160000] lr: 3.043e-05, eta: 5:42:55, time: 0.245, data_time: 0.068, memory: 9544, decode.loss_ce: 0.1758, decode.acc_seg: 93.1437, loss: 0.1758 2023-01-06 04:54:05,946 - mmseg - INFO - Iter [78900/160000] lr: 3.041e-05, eta: 5:42:44, time: 0.290, data_time: 0.075, memory: 9544, decode.loss_ce: 0.1768, decode.acc_seg: 93.3268, loss: 0.1768 2023-01-06 04:54:18,379 - mmseg - INFO - Iter [78950/160000] lr: 3.039e-05, eta: 5:42:31, time: 0.249, data_time: 0.027, memory: 9544, decode.loss_ce: 0.1650, decode.acc_seg: 93.7003, loss: 0.1650 2023-01-06 04:54:30,576 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 04:54:30,576 - mmseg - INFO - Iter [79000/160000] lr: 3.038e-05, eta: 5:42:18, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1860, decode.acc_seg: 92.8886, loss: 0.1860 2023-01-06 04:54:42,817 - mmseg - INFO - Iter [79050/160000] lr: 3.036e-05, eta: 5:42:05, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1804, decode.acc_seg: 92.9575, loss: 0.1804 2023-01-06 04:54:55,068 - mmseg - INFO - Iter [79100/160000] lr: 3.034e-05, eta: 5:41:52, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1746, decode.acc_seg: 93.3202, loss: 0.1746 2023-01-06 04:55:07,483 - mmseg - INFO - Iter [79150/160000] lr: 3.032e-05, eta: 5:41:39, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1651, decode.acc_seg: 93.5617, loss: 0.1651 2023-01-06 04:55:20,107 - mmseg - INFO - Iter [79200/160000] lr: 3.030e-05, eta: 5:41:26, time: 0.253, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1522, decode.acc_seg: 94.0671, loss: 0.1522 2023-01-06 04:55:34,866 - mmseg - INFO - Iter [79250/160000] lr: 3.028e-05, eta: 5:41:15, time: 0.295, data_time: 0.055, memory: 9544, decode.loss_ce: 0.1521, decode.acc_seg: 94.0061, loss: 0.1521 2023-01-06 04:55:47,077 - mmseg - INFO - Iter [79300/160000] lr: 3.026e-05, eta: 5:41:02, time: 0.244, data_time: 0.027, memory: 9544, decode.loss_ce: 0.1720, decode.acc_seg: 93.5505, loss: 0.1720 2023-01-06 04:55:59,428 - mmseg - INFO - Iter [79350/160000] lr: 3.024e-05, eta: 5:40:49, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1624, decode.acc_seg: 93.7355, loss: 0.1624 2023-01-06 04:56:11,907 - mmseg - INFO - Iter [79400/160000] lr: 3.023e-05, eta: 5:40:36, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1727, decode.acc_seg: 93.4373, loss: 0.1727 2023-01-06 04:56:24,301 - mmseg - INFO - Iter [79450/160000] lr: 3.021e-05, eta: 5:40:23, time: 0.248, data_time: 0.067, memory: 9544, decode.loss_ce: 0.1612, decode.acc_seg: 93.6587, loss: 0.1612 2023-01-06 04:56:36,839 - mmseg - INFO - Iter [79500/160000] lr: 3.019e-05, eta: 5:40:10, time: 0.251, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1762, decode.acc_seg: 93.1301, loss: 0.1762 2023-01-06 04:56:49,463 - mmseg - INFO - Iter [79550/160000] lr: 3.017e-05, eta: 5:39:58, time: 0.253, data_time: 0.065, memory: 9544, decode.loss_ce: 0.1591, decode.acc_seg: 93.8541, loss: 0.1591 2023-01-06 04:57:02,042 - mmseg - INFO - Iter [79600/160000] lr: 3.015e-05, eta: 5:39:45, time: 0.252, data_time: 0.059, memory: 9544, decode.loss_ce: 0.1574, decode.acc_seg: 93.8293, loss: 0.1574 2023-01-06 04:57:16,854 - mmseg - INFO - Iter [79650/160000] lr: 3.013e-05, eta: 5:39:34, time: 0.296, data_time: 0.068, memory: 9544, decode.loss_ce: 0.1567, decode.acc_seg: 93.8150, loss: 0.1567 2023-01-06 04:57:29,426 - mmseg - INFO - Iter [79700/160000] lr: 3.011e-05, eta: 5:39:22, time: 0.251, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1791, decode.acc_seg: 93.3004, loss: 0.1791 2023-01-06 04:57:41,905 - mmseg - INFO - Iter [79750/160000] lr: 3.009e-05, eta: 5:39:09, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1696, decode.acc_seg: 93.3303, loss: 0.1696 2023-01-06 04:57:54,482 - mmseg - INFO - Iter [79800/160000] lr: 3.008e-05, eta: 5:38:56, time: 0.252, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1752, decode.acc_seg: 93.2345, loss: 0.1752 2023-01-06 04:58:07,116 - mmseg - INFO - Iter [79850/160000] lr: 3.006e-05, eta: 5:38:43, time: 0.253, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1621, decode.acc_seg: 93.9135, loss: 0.1621 2023-01-06 04:58:19,664 - mmseg - INFO - Iter [79900/160000] lr: 3.004e-05, eta: 5:38:30, time: 0.251, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1600, decode.acc_seg: 93.6664, loss: 0.1600 2023-01-06 04:58:32,086 - mmseg - INFO - Iter [79950/160000] lr: 3.002e-05, eta: 5:38:18, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1825, decode.acc_seg: 93.0397, loss: 0.1825 2023-01-06 04:58:46,628 - mmseg - INFO - Saving checkpoint at 80000 iterations 2023-01-06 04:58:47,648 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 04:58:47,648 - mmseg - INFO - Iter [80000/160000] lr: 3.000e-05, eta: 5:38:08, time: 0.311, data_time: 0.063, memory: 9544, decode.loss_ce: 0.1650, decode.acc_seg: 93.5541, loss: 0.1650 2023-01-06 04:59:05,666 - mmseg - INFO - per class results: 2023-01-06 04:59:05,669 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 96.72 | 98.55 | | sidewalk | 75.78 | 85.29 | | building | 88.03 | 93.54 | | wall | 39.78 | 56.24 | | fence | 42.67 | 63.85 | | pole | 47.54 | 54.02 | | traffic light | 51.2 | 62.76 | | traffic sign | 62.27 | 68.52 | | vegetation | 90.21 | 96.15 | | terrain | 55.14 | 69.26 | | sky | 92.92 | 97.59 | | person | 67.76 | 84.43 | | rider | 38.04 | 51.0 | | car | 90.15 | 95.77 | | truck | 30.56 | 34.75 | | bus | 50.08 | 75.6 | | train | 22.39 | 26.24 | | motorcycle | 28.06 | 33.58 | | bicycle | 64.34 | 76.74 | +---------------+-------+-------+ 2023-01-06 04:59:05,669 - mmseg - INFO - Summary: 2023-01-06 04:59:05,669 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 93.48 | 59.67 | 69.68 | +-------+-------+-------+ 2023-01-06 04:59:05,670 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 04:59:05,671 - mmseg - INFO - Iter(val) [63] aAcc: 0.9348, mIoU: 0.5967, mAcc: 0.6968, IoU.road: 0.9672, IoU.sidewalk: 0.7578, IoU.building: 0.8803, IoU.wall: 0.3978, IoU.fence: 0.4267, IoU.pole: 0.4754, IoU.traffic light: 0.5120, IoU.traffic sign: 0.6227, IoU.vegetation: 0.9021, IoU.terrain: 0.5514, IoU.sky: 0.9292, IoU.person: 0.6776, IoU.rider: 0.3804, IoU.car: 0.9015, IoU.truck: 0.3056, IoU.bus: 0.5008, IoU.train: 0.2239, IoU.motorcycle: 0.2806, IoU.bicycle: 0.6434, Acc.road: 0.9855, Acc.sidewalk: 0.8529, Acc.building: 0.9354, Acc.wall: 0.5624, Acc.fence: 0.6385, Acc.pole: 0.5402, Acc.traffic light: 0.6276, Acc.traffic sign: 0.6852, Acc.vegetation: 0.9615, Acc.terrain: 0.6926, Acc.sky: 0.9759, Acc.person: 0.8443, Acc.rider: 0.5100, Acc.car: 0.9577, Acc.truck: 0.3475, Acc.bus: 0.7560, Acc.train: 0.2624, Acc.motorcycle: 0.3358, Acc.bicycle: 0.7674 2023-01-06 04:59:17,741 - mmseg - INFO - Iter [80050/160000] lr: 2.998e-05, eta: 5:38:12, time: 0.602, data_time: 0.379, memory: 9544, decode.loss_ce: 0.1701, decode.acc_seg: 93.4975, loss: 0.1701 2023-01-06 04:59:29,915 - mmseg - INFO - Iter [80100/160000] lr: 2.996e-05, eta: 5:37:59, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1655, decode.acc_seg: 93.6772, loss: 0.1655 2023-01-06 04:59:42,550 - mmseg - INFO - Iter [80150/160000] lr: 2.994e-05, eta: 5:37:46, time: 0.253, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1579, decode.acc_seg: 94.0615, loss: 0.1579 2023-01-06 04:59:54,888 - mmseg - INFO - Iter [80200/160000] lr: 2.993e-05, eta: 5:37:33, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1678, decode.acc_seg: 93.4544, loss: 0.1678 2023-01-06 05:00:06,906 - mmseg - INFO - Iter [80250/160000] lr: 2.991e-05, eta: 5:37:20, time: 0.240, data_time: 0.035, memory: 9544, decode.loss_ce: 0.1663, decode.acc_seg: 93.5665, loss: 0.1663 2023-01-06 05:00:19,301 - mmseg - INFO - Iter [80300/160000] lr: 2.989e-05, eta: 5:37:07, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1530, decode.acc_seg: 94.0812, loss: 0.1530 2023-01-06 05:00:31,657 - mmseg - INFO - Iter [80350/160000] lr: 2.987e-05, eta: 5:36:54, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1598, decode.acc_seg: 93.8653, loss: 0.1598 2023-01-06 05:00:46,230 - mmseg - INFO - Iter [80400/160000] lr: 2.985e-05, eta: 5:36:43, time: 0.291, data_time: 0.067, memory: 9544, decode.loss_ce: 0.1545, decode.acc_seg: 93.8775, loss: 0.1545 2023-01-06 05:00:58,359 - mmseg - INFO - Iter [80450/160000] lr: 2.983e-05, eta: 5:36:30, time: 0.243, data_time: 0.020, memory: 9544, decode.loss_ce: 0.1733, decode.acc_seg: 93.5608, loss: 0.1733 2023-01-06 05:01:10,604 - mmseg - INFO - Iter [80500/160000] lr: 2.981e-05, eta: 5:36:17, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1687, decode.acc_seg: 93.4861, loss: 0.1687 2023-01-06 05:01:22,914 - mmseg - INFO - Iter [80550/160000] lr: 2.979e-05, eta: 5:36:04, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1684, decode.acc_seg: 93.4801, loss: 0.1684 2023-01-06 05:01:35,130 - mmseg - INFO - Iter [80600/160000] lr: 2.978e-05, eta: 5:35:51, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1555, decode.acc_seg: 93.7602, loss: 0.1555 2023-01-06 05:01:47,416 - mmseg - INFO - Iter [80650/160000] lr: 2.976e-05, eta: 5:35:38, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1563, decode.acc_seg: 93.9819, loss: 0.1563 2023-01-06 05:01:59,496 - mmseg - INFO - Iter [80700/160000] lr: 2.974e-05, eta: 5:35:24, time: 0.242, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1622, decode.acc_seg: 93.5760, loss: 0.1622 2023-01-06 05:02:14,194 - mmseg - INFO - Iter [80750/160000] lr: 2.972e-05, eta: 5:35:14, time: 0.294, data_time: 0.053, memory: 9544, decode.loss_ce: 0.1549, decode.acc_seg: 93.9348, loss: 0.1549 2023-01-06 05:02:26,692 - mmseg - INFO - Iter [80800/160000] lr: 2.970e-05, eta: 5:35:01, time: 0.250, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1485, decode.acc_seg: 94.2423, loss: 0.1485 2023-01-06 05:02:38,881 - mmseg - INFO - Iter [80850/160000] lr: 2.968e-05, eta: 5:34:47, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1688, decode.acc_seg: 93.5912, loss: 0.1688 2023-01-06 05:02:51,223 - mmseg - INFO - Iter [80900/160000] lr: 2.966e-05, eta: 5:34:34, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1697, decode.acc_seg: 93.5536, loss: 0.1697 2023-01-06 05:03:03,480 - mmseg - INFO - Iter [80950/160000] lr: 2.964e-05, eta: 5:34:21, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1691, decode.acc_seg: 93.4712, loss: 0.1691 2023-01-06 05:03:15,666 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 05:03:15,667 - mmseg - INFO - Iter [81000/160000] lr: 2.963e-05, eta: 5:34:08, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1670, decode.acc_seg: 93.5464, loss: 0.1670 2023-01-06 05:03:28,067 - mmseg - INFO - Iter [81050/160000] lr: 2.961e-05, eta: 5:33:55, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1649, decode.acc_seg: 93.6003, loss: 0.1649 2023-01-06 05:03:42,663 - mmseg - INFO - Iter [81100/160000] lr: 2.959e-05, eta: 5:33:44, time: 0.292, data_time: 0.056, memory: 9544, decode.loss_ce: 0.1585, decode.acc_seg: 93.9915, loss: 0.1585 2023-01-06 05:03:55,024 - mmseg - INFO - Iter [81150/160000] lr: 2.957e-05, eta: 5:33:31, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1766, decode.acc_seg: 93.3959, loss: 0.1766 2023-01-06 05:04:07,437 - mmseg - INFO - Iter [81200/160000] lr: 2.955e-05, eta: 5:33:18, time: 0.248, data_time: 0.078, memory: 9544, decode.loss_ce: 0.1665, decode.acc_seg: 93.6572, loss: 0.1665 2023-01-06 05:04:19,784 - mmseg - INFO - Iter [81250/160000] lr: 2.953e-05, eta: 5:33:05, time: 0.247, data_time: 0.048, memory: 9544, decode.loss_ce: 0.1729, decode.acc_seg: 93.2212, loss: 0.1729 2023-01-06 05:04:32,077 - mmseg - INFO - Iter [81300/160000] lr: 2.951e-05, eta: 5:32:52, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1633, decode.acc_seg: 93.5269, loss: 0.1633 2023-01-06 05:04:44,658 - mmseg - INFO - Iter [81350/160000] lr: 2.949e-05, eta: 5:32:40, time: 0.252, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1729, decode.acc_seg: 93.3666, loss: 0.1729 2023-01-06 05:04:56,771 - mmseg - INFO - Iter [81400/160000] lr: 2.948e-05, eta: 5:32:26, time: 0.242, data_time: 0.069, memory: 9544, decode.loss_ce: 0.1587, decode.acc_seg: 93.8000, loss: 0.1587 2023-01-06 05:05:09,187 - mmseg - INFO - Iter [81450/160000] lr: 2.946e-05, eta: 5:32:13, time: 0.248, data_time: 0.057, memory: 9544, decode.loss_ce: 0.1682, decode.acc_seg: 93.4732, loss: 0.1682 2023-01-06 05:05:23,695 - mmseg - INFO - Iter [81500/160000] lr: 2.944e-05, eta: 5:32:02, time: 0.290, data_time: 0.060, memory: 9544, decode.loss_ce: 0.1662, decode.acc_seg: 93.5889, loss: 0.1662 2023-01-06 05:05:35,985 - mmseg - INFO - Iter [81550/160000] lr: 2.942e-05, eta: 5:31:49, time: 0.246, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1712, decode.acc_seg: 93.5972, loss: 0.1712 2023-01-06 05:05:48,119 - mmseg - INFO - Iter [81600/160000] lr: 2.940e-05, eta: 5:31:36, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1698, decode.acc_seg: 93.4290, loss: 0.1698 2023-01-06 05:06:00,514 - mmseg - INFO - Iter [81650/160000] lr: 2.938e-05, eta: 5:31:23, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1528, decode.acc_seg: 94.1188, loss: 0.1528 2023-01-06 05:06:12,700 - mmseg - INFO - Iter [81700/160000] lr: 2.936e-05, eta: 5:31:10, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1624, decode.acc_seg: 93.5745, loss: 0.1624 2023-01-06 05:06:24,887 - mmseg - INFO - Iter [81750/160000] lr: 2.934e-05, eta: 5:30:57, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1649, decode.acc_seg: 93.6329, loss: 0.1649 2023-01-06 05:06:37,051 - mmseg - INFO - Iter [81800/160000] lr: 2.933e-05, eta: 5:30:44, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1594, decode.acc_seg: 93.6881, loss: 0.1594 2023-01-06 05:06:51,575 - mmseg - INFO - Iter [81850/160000] lr: 2.931e-05, eta: 5:30:33, time: 0.290, data_time: 0.061, memory: 9544, decode.loss_ce: 0.1660, decode.acc_seg: 93.5955, loss: 0.1660 2023-01-06 05:07:03,849 - mmseg - INFO - Iter [81900/160000] lr: 2.929e-05, eta: 5:30:20, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1671, decode.acc_seg: 93.5776, loss: 0.1671 2023-01-06 05:07:16,154 - mmseg - INFO - Iter [81950/160000] lr: 2.927e-05, eta: 5:30:06, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1604, decode.acc_seg: 93.8286, loss: 0.1604 2023-01-06 05:07:28,453 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 05:07:28,454 - mmseg - INFO - Iter [82000/160000] lr: 2.925e-05, eta: 5:29:53, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1817, decode.acc_seg: 93.0505, loss: 0.1817 2023-01-06 05:07:40,939 - mmseg - INFO - Iter [82050/160000] lr: 2.923e-05, eta: 5:29:41, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1589, decode.acc_seg: 93.7304, loss: 0.1589 2023-01-06 05:07:53,279 - mmseg - INFO - Iter [82100/160000] lr: 2.921e-05, eta: 5:29:28, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1618, decode.acc_seg: 93.7170, loss: 0.1618 2023-01-06 05:08:05,620 - mmseg - INFO - Iter [82150/160000] lr: 2.919e-05, eta: 5:29:15, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1536, decode.acc_seg: 94.0153, loss: 0.1536 2023-01-06 05:08:17,910 - mmseg - INFO - Iter [82200/160000] lr: 2.918e-05, eta: 5:29:01, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1795, decode.acc_seg: 93.2246, loss: 0.1795 2023-01-06 05:08:32,675 - mmseg - INFO - Iter [82250/160000] lr: 2.916e-05, eta: 5:28:51, time: 0.295, data_time: 0.060, memory: 9544, decode.loss_ce: 0.1713, decode.acc_seg: 93.5094, loss: 0.1713 2023-01-06 05:08:44,946 - mmseg - INFO - Iter [82300/160000] lr: 2.914e-05, eta: 5:28:38, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1790, decode.acc_seg: 93.2876, loss: 0.1790 2023-01-06 05:08:57,257 - mmseg - INFO - Iter [82350/160000] lr: 2.912e-05, eta: 5:28:25, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1565, decode.acc_seg: 93.9225, loss: 0.1565 2023-01-06 05:09:09,492 - mmseg - INFO - Iter [82400/160000] lr: 2.910e-05, eta: 5:28:11, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1694, decode.acc_seg: 93.5123, loss: 0.1694 2023-01-06 05:09:21,968 - mmseg - INFO - Iter [82450/160000] lr: 2.908e-05, eta: 5:27:59, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1733, decode.acc_seg: 93.4966, loss: 0.1733 2023-01-06 05:09:34,254 - mmseg - INFO - Iter [82500/160000] lr: 2.906e-05, eta: 5:27:46, time: 0.246, data_time: 0.068, memory: 9544, decode.loss_ce: 0.1575, decode.acc_seg: 94.0235, loss: 0.1575 2023-01-06 05:09:46,666 - mmseg - INFO - Iter [82550/160000] lr: 2.904e-05, eta: 5:27:33, time: 0.248, data_time: 0.073, memory: 9544, decode.loss_ce: 0.1522, decode.acc_seg: 94.1533, loss: 0.1522 2023-01-06 05:10:01,120 - mmseg - INFO - Iter [82600/160000] lr: 2.903e-05, eta: 5:27:22, time: 0.289, data_time: 0.106, memory: 9544, decode.loss_ce: 0.1668, decode.acc_seg: 93.4668, loss: 0.1668 2023-01-06 05:10:13,479 - mmseg - INFO - Iter [82650/160000] lr: 2.901e-05, eta: 5:27:09, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1522, decode.acc_seg: 94.2108, loss: 0.1522 2023-01-06 05:10:25,636 - mmseg - INFO - Iter [82700/160000] lr: 2.899e-05, eta: 5:26:55, time: 0.243, data_time: 0.018, memory: 9544, decode.loss_ce: 0.1596, decode.acc_seg: 93.6284, loss: 0.1596 2023-01-06 05:10:37,947 - mmseg - INFO - Iter [82750/160000] lr: 2.897e-05, eta: 5:26:42, time: 0.246, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1543, decode.acc_seg: 94.0768, loss: 0.1543 2023-01-06 05:10:50,367 - mmseg - INFO - Iter [82800/160000] lr: 2.895e-05, eta: 5:26:29, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1624, decode.acc_seg: 93.7151, loss: 0.1624 2023-01-06 05:11:02,521 - mmseg - INFO - Iter [82850/160000] lr: 2.893e-05, eta: 5:26:16, time: 0.243, data_time: 0.035, memory: 9544, decode.loss_ce: 0.1539, decode.acc_seg: 93.8737, loss: 0.1539 2023-01-06 05:11:14,785 - mmseg - INFO - Iter [82900/160000] lr: 2.891e-05, eta: 5:26:03, time: 0.245, data_time: 0.023, memory: 9544, decode.loss_ce: 0.1606, decode.acc_seg: 93.7896, loss: 0.1606 2023-01-06 05:11:27,153 - mmseg - INFO - Iter [82950/160000] lr: 2.889e-05, eta: 5:25:50, time: 0.247, data_time: 0.078, memory: 9544, decode.loss_ce: 0.1696, decode.acc_seg: 93.6204, loss: 0.1696 2023-01-06 05:11:41,865 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 05:11:41,866 - mmseg - INFO - Iter [83000/160000] lr: 2.888e-05, eta: 5:25:39, time: 0.294, data_time: 0.065, memory: 9544, decode.loss_ce: 0.1563, decode.acc_seg: 93.9912, loss: 0.1563 2023-01-06 05:11:54,081 - mmseg - INFO - Iter [83050/160000] lr: 2.886e-05, eta: 5:25:26, time: 0.245, data_time: 0.048, memory: 9544, decode.loss_ce: 0.1613, decode.acc_seg: 93.8608, loss: 0.1613 2023-01-06 05:12:06,345 - mmseg - INFO - Iter [83100/160000] lr: 2.884e-05, eta: 5:25:13, time: 0.245, data_time: 0.082, memory: 9544, decode.loss_ce: 0.1594, decode.acc_seg: 93.5440, loss: 0.1594 2023-01-06 05:12:18,623 - mmseg - INFO - Iter [83150/160000] lr: 2.882e-05, eta: 5:25:00, time: 0.246, data_time: 0.084, memory: 9544, decode.loss_ce: 0.1583, decode.acc_seg: 93.7203, loss: 0.1583 2023-01-06 05:12:30,937 - mmseg - INFO - Iter [83200/160000] lr: 2.880e-05, eta: 5:24:47, time: 0.246, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1563, decode.acc_seg: 93.7384, loss: 0.1563 2023-01-06 05:12:43,067 - mmseg - INFO - Iter [83250/160000] lr: 2.878e-05, eta: 5:24:34, time: 0.243, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1674, decode.acc_seg: 93.7184, loss: 0.1674 2023-01-06 05:12:55,211 - mmseg - INFO - Iter [83300/160000] lr: 2.876e-05, eta: 5:24:21, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1536, decode.acc_seg: 94.0472, loss: 0.1536 2023-01-06 05:13:09,628 - mmseg - INFO - Iter [83350/160000] lr: 2.874e-05, eta: 5:24:10, time: 0.289, data_time: 0.076, memory: 9544, decode.loss_ce: 0.1724, decode.acc_seg: 93.4901, loss: 0.1724 2023-01-06 05:13:21,803 - mmseg - INFO - Iter [83400/160000] lr: 2.873e-05, eta: 5:23:56, time: 0.243, data_time: 0.023, memory: 9544, decode.loss_ce: 0.1670, decode.acc_seg: 93.5623, loss: 0.1670 2023-01-06 05:13:34,458 - mmseg - INFO - Iter [83450/160000] lr: 2.871e-05, eta: 5:23:44, time: 0.253, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1700, decode.acc_seg: 93.5398, loss: 0.1700 2023-01-06 05:13:46,706 - mmseg - INFO - Iter [83500/160000] lr: 2.869e-05, eta: 5:23:31, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1579, decode.acc_seg: 93.8832, loss: 0.1579 2023-01-06 05:13:59,095 - mmseg - INFO - Iter [83550/160000] lr: 2.867e-05, eta: 5:23:18, time: 0.248, data_time: 0.040, memory: 9544, decode.loss_ce: 0.1683, decode.acc_seg: 93.6197, loss: 0.1683 2023-01-06 05:14:11,311 - mmseg - INFO - Iter [83600/160000] lr: 2.865e-05, eta: 5:23:04, time: 0.244, data_time: 0.031, memory: 9544, decode.loss_ce: 0.1638, decode.acc_seg: 93.5903, loss: 0.1638 2023-01-06 05:14:23,413 - mmseg - INFO - Iter [83650/160000] lr: 2.863e-05, eta: 5:22:51, time: 0.242, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1598, decode.acc_seg: 93.7263, loss: 0.1598 2023-01-06 05:14:35,488 - mmseg - INFO - Iter [83700/160000] lr: 2.861e-05, eta: 5:22:38, time: 0.241, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1708, decode.acc_seg: 93.2968, loss: 0.1708 2023-01-06 05:14:50,059 - mmseg - INFO - Iter [83750/160000] lr: 2.859e-05, eta: 5:22:27, time: 0.291, data_time: 0.059, memory: 9544, decode.loss_ce: 0.1668, decode.acc_seg: 93.5325, loss: 0.1668 2023-01-06 05:15:02,473 - mmseg - INFO - Iter [83800/160000] lr: 2.858e-05, eta: 5:22:14, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1909, decode.acc_seg: 92.9229, loss: 0.1909 2023-01-06 05:15:14,636 - mmseg - INFO - Iter [83850/160000] lr: 2.856e-05, eta: 5:22:01, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1681, decode.acc_seg: 93.3345, loss: 0.1681 2023-01-06 05:15:26,796 - mmseg - INFO - Iter [83900/160000] lr: 2.854e-05, eta: 5:21:48, time: 0.243, data_time: 0.014, memory: 9544, decode.loss_ce: 0.1469, decode.acc_seg: 94.1824, loss: 0.1469 2023-01-06 05:15:39,050 - mmseg - INFO - Iter [83950/160000] lr: 2.852e-05, eta: 5:21:35, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1602, decode.acc_seg: 93.8703, loss: 0.1602 2023-01-06 05:15:51,249 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 05:15:51,250 - mmseg - INFO - Iter [84000/160000] lr: 2.850e-05, eta: 5:21:22, time: 0.244, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1642, decode.acc_seg: 93.6348, loss: 0.1642 2023-01-06 05:16:03,793 - mmseg - INFO - Iter [84050/160000] lr: 2.848e-05, eta: 5:21:09, time: 0.251, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1725, decode.acc_seg: 93.3424, loss: 0.1725 2023-01-06 05:16:18,408 - mmseg - INFO - Iter [84100/160000] lr: 2.846e-05, eta: 5:20:58, time: 0.292, data_time: 0.077, memory: 9544, decode.loss_ce: 0.1587, decode.acc_seg: 93.8171, loss: 0.1587 2023-01-06 05:16:31,004 - mmseg - INFO - Iter [84150/160000] lr: 2.844e-05, eta: 5:20:45, time: 0.252, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1442, decode.acc_seg: 94.3718, loss: 0.1442 2023-01-06 05:16:43,100 - mmseg - INFO - Iter [84200/160000] lr: 2.843e-05, eta: 5:20:32, time: 0.242, data_time: 0.059, memory: 9544, decode.loss_ce: 0.1638, decode.acc_seg: 93.5632, loss: 0.1638 2023-01-06 05:16:55,361 - mmseg - INFO - Iter [84250/160000] lr: 2.841e-05, eta: 5:20:19, time: 0.245, data_time: 0.038, memory: 9544, decode.loss_ce: 0.1670, decode.acc_seg: 93.3686, loss: 0.1670 2023-01-06 05:17:07,633 - mmseg - INFO - Iter [84300/160000] lr: 2.839e-05, eta: 5:20:06, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1725, decode.acc_seg: 93.2855, loss: 0.1725 2023-01-06 05:17:19,819 - mmseg - INFO - Iter [84350/160000] lr: 2.837e-05, eta: 5:19:53, time: 0.244, data_time: 0.020, memory: 9544, decode.loss_ce: 0.1673, decode.acc_seg: 93.5293, loss: 0.1673 2023-01-06 05:17:32,247 - mmseg - INFO - Iter [84400/160000] lr: 2.835e-05, eta: 5:19:40, time: 0.249, data_time: 0.084, memory: 9544, decode.loss_ce: 0.1608, decode.acc_seg: 93.8866, loss: 0.1608 2023-01-06 05:17:46,735 - mmseg - INFO - Iter [84450/160000] lr: 2.833e-05, eta: 5:19:29, time: 0.290, data_time: 0.099, memory: 9544, decode.loss_ce: 0.1705, decode.acc_seg: 93.2378, loss: 0.1705 2023-01-06 05:17:59,124 - mmseg - INFO - Iter [84500/160000] lr: 2.831e-05, eta: 5:19:16, time: 0.247, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1700, decode.acc_seg: 93.3542, loss: 0.1700 2023-01-06 05:18:11,430 - mmseg - INFO - Iter [84550/160000] lr: 2.829e-05, eta: 5:19:03, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1584, decode.acc_seg: 93.9240, loss: 0.1584 2023-01-06 05:18:23,590 - mmseg - INFO - Iter [84600/160000] lr: 2.828e-05, eta: 5:18:49, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1638, decode.acc_seg: 93.6198, loss: 0.1638 2023-01-06 05:18:36,012 - mmseg - INFO - Iter [84650/160000] lr: 2.826e-05, eta: 5:18:37, time: 0.248, data_time: 0.019, memory: 9544, decode.loss_ce: 0.1569, decode.acc_seg: 93.9400, loss: 0.1569 2023-01-06 05:18:48,285 - mmseg - INFO - Iter [84700/160000] lr: 2.824e-05, eta: 5:18:23, time: 0.245, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1549, decode.acc_seg: 94.0331, loss: 0.1549 2023-01-06 05:19:00,566 - mmseg - INFO - Iter [84750/160000] lr: 2.822e-05, eta: 5:18:10, time: 0.245, data_time: 0.025, memory: 9544, decode.loss_ce: 0.1644, decode.acc_seg: 93.7164, loss: 0.1644 2023-01-06 05:19:12,827 - mmseg - INFO - Iter [84800/160000] lr: 2.820e-05, eta: 5:17:57, time: 0.245, data_time: 0.043, memory: 9544, decode.loss_ce: 0.1686, decode.acc_seg: 93.6178, loss: 0.1686 2023-01-06 05:19:27,284 - mmseg - INFO - Iter [84850/160000] lr: 2.818e-05, eta: 5:17:46, time: 0.289, data_time: 0.068, memory: 9544, decode.loss_ce: 0.1711, decode.acc_seg: 93.2432, loss: 0.1711 2023-01-06 05:19:39,592 - mmseg - INFO - Iter [84900/160000] lr: 2.816e-05, eta: 5:17:33, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1647, decode.acc_seg: 93.7765, loss: 0.1647 2023-01-06 05:19:51,834 - mmseg - INFO - Iter [84950/160000] lr: 2.814e-05, eta: 5:17:20, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1630, decode.acc_seg: 93.6896, loss: 0.1630 2023-01-06 05:20:04,041 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 05:20:04,042 - mmseg - INFO - Iter [85000/160000] lr: 2.813e-05, eta: 5:17:07, time: 0.244, data_time: 0.054, memory: 9544, decode.loss_ce: 0.1530, decode.acc_seg: 94.2158, loss: 0.1530 2023-01-06 05:20:16,404 - mmseg - INFO - Iter [85050/160000] lr: 2.811e-05, eta: 5:16:54, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1490, decode.acc_seg: 94.1572, loss: 0.1490 2023-01-06 05:20:28,680 - mmseg - INFO - Iter [85100/160000] lr: 2.809e-05, eta: 5:16:41, time: 0.246, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1604, decode.acc_seg: 93.8999, loss: 0.1604 2023-01-06 05:20:41,221 - mmseg - INFO - Iter [85150/160000] lr: 2.807e-05, eta: 5:16:28, time: 0.251, data_time: 0.025, memory: 9544, decode.loss_ce: 0.1657, decode.acc_seg: 93.5801, loss: 0.1657 2023-01-06 05:20:55,714 - mmseg - INFO - Iter [85200/160000] lr: 2.805e-05, eta: 5:16:17, time: 0.290, data_time: 0.068, memory: 9544, decode.loss_ce: 0.1512, decode.acc_seg: 94.1116, loss: 0.1512 2023-01-06 05:21:07,920 - mmseg - INFO - Iter [85250/160000] lr: 2.803e-05, eta: 5:16:04, time: 0.244, data_time: 0.016, memory: 9544, decode.loss_ce: 0.1562, decode.acc_seg: 93.8970, loss: 0.1562 2023-01-06 05:21:20,321 - mmseg - INFO - Iter [85300/160000] lr: 2.801e-05, eta: 5:15:51, time: 0.248, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1545, decode.acc_seg: 93.9451, loss: 0.1545 2023-01-06 05:21:32,790 - mmseg - INFO - Iter [85350/160000] lr: 2.799e-05, eta: 5:15:38, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1482, decode.acc_seg: 94.0468, loss: 0.1482 2023-01-06 05:21:44,867 - mmseg - INFO - Iter [85400/160000] lr: 2.798e-05, eta: 5:15:25, time: 0.242, data_time: 0.021, memory: 9544, decode.loss_ce: 0.1616, decode.acc_seg: 93.6487, loss: 0.1616 2023-01-06 05:21:57,305 - mmseg - INFO - Iter [85450/160000] lr: 2.796e-05, eta: 5:15:12, time: 0.249, data_time: 0.016, memory: 9544, decode.loss_ce: 0.1620, decode.acc_seg: 93.4842, loss: 0.1620 2023-01-06 05:22:09,982 - mmseg - INFO - Iter [85500/160000] lr: 2.794e-05, eta: 5:14:59, time: 0.253, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1684, decode.acc_seg: 93.6035, loss: 0.1684 2023-01-06 05:22:22,276 - mmseg - INFO - Iter [85550/160000] lr: 2.792e-05, eta: 5:14:46, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1611, decode.acc_seg: 93.8007, loss: 0.1611 2023-01-06 05:22:36,930 - mmseg - INFO - Iter [85600/160000] lr: 2.790e-05, eta: 5:14:35, time: 0.293, data_time: 0.056, memory: 9544, decode.loss_ce: 0.1616, decode.acc_seg: 93.6743, loss: 0.1616 2023-01-06 05:22:49,538 - mmseg - INFO - Iter [85650/160000] lr: 2.788e-05, eta: 5:14:23, time: 0.252, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1540, decode.acc_seg: 93.9176, loss: 0.1540 2023-01-06 05:23:01,786 - mmseg - INFO - Iter [85700/160000] lr: 2.786e-05, eta: 5:14:10, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1632, decode.acc_seg: 93.8423, loss: 0.1632 2023-01-06 05:23:14,031 - mmseg - INFO - Iter [85750/160000] lr: 2.784e-05, eta: 5:13:57, time: 0.245, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1596, decode.acc_seg: 93.4724, loss: 0.1596 2023-01-06 05:23:26,318 - mmseg - INFO - Iter [85800/160000] lr: 2.783e-05, eta: 5:13:43, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1770, decode.acc_seg: 93.4140, loss: 0.1770 2023-01-06 05:23:38,506 - mmseg - INFO - Iter [85850/160000] lr: 2.781e-05, eta: 5:13:30, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1508, decode.acc_seg: 94.1657, loss: 0.1508 2023-01-06 05:23:50,844 - mmseg - INFO - Iter [85900/160000] lr: 2.779e-05, eta: 5:13:17, time: 0.247, data_time: 0.031, memory: 9544, decode.loss_ce: 0.1626, decode.acc_seg: 93.6586, loss: 0.1626 2023-01-06 05:24:05,359 - mmseg - INFO - Iter [85950/160000] lr: 2.777e-05, eta: 5:13:06, time: 0.290, data_time: 0.077, memory: 9544, decode.loss_ce: 0.1626, decode.acc_seg: 93.7522, loss: 0.1626 2023-01-06 05:24:17,829 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 05:24:17,830 - mmseg - INFO - Iter [86000/160000] lr: 2.775e-05, eta: 5:12:53, time: 0.250, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1570, decode.acc_seg: 93.8803, loss: 0.1570 2023-01-06 05:24:29,988 - mmseg - INFO - Iter [86050/160000] lr: 2.773e-05, eta: 5:12:40, time: 0.243, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1561, decode.acc_seg: 93.8160, loss: 0.1561 2023-01-06 05:24:42,601 - mmseg - INFO - Iter [86100/160000] lr: 2.771e-05, eta: 5:12:28, time: 0.252, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1747, decode.acc_seg: 93.2785, loss: 0.1747 2023-01-06 05:24:54,855 - mmseg - INFO - Iter [86150/160000] lr: 2.769e-05, eta: 5:12:14, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1644, decode.acc_seg: 93.6201, loss: 0.1644 2023-01-06 05:25:07,291 - mmseg - INFO - Iter [86200/160000] lr: 2.768e-05, eta: 5:12:02, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1632, decode.acc_seg: 93.6050, loss: 0.1632 2023-01-06 05:25:19,542 - mmseg - INFO - Iter [86250/160000] lr: 2.766e-05, eta: 5:11:49, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1605, decode.acc_seg: 93.7201, loss: 0.1605 2023-01-06 05:25:31,924 - mmseg - INFO - Iter [86300/160000] lr: 2.764e-05, eta: 5:11:36, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1585, decode.acc_seg: 93.7471, loss: 0.1585 2023-01-06 05:25:46,457 - mmseg - INFO - Iter [86350/160000] lr: 2.762e-05, eta: 5:11:24, time: 0.291, data_time: 0.056, memory: 9544, decode.loss_ce: 0.1540, decode.acc_seg: 93.8014, loss: 0.1540 2023-01-06 05:25:58,749 - mmseg - INFO - Iter [86400/160000] lr: 2.760e-05, eta: 5:11:11, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1462, decode.acc_seg: 94.3699, loss: 0.1462 2023-01-06 05:26:11,063 - mmseg - INFO - Iter [86450/160000] lr: 2.758e-05, eta: 5:10:58, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1635, decode.acc_seg: 93.7830, loss: 0.1635 2023-01-06 05:26:23,391 - mmseg - INFO - Iter [86500/160000] lr: 2.756e-05, eta: 5:10:45, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1541, decode.acc_seg: 93.9974, loss: 0.1541 2023-01-06 05:26:35,660 - mmseg - INFO - Iter [86550/160000] lr: 2.754e-05, eta: 5:10:32, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1643, decode.acc_seg: 93.5530, loss: 0.1643 2023-01-06 05:26:48,079 - mmseg - INFO - Iter [86600/160000] lr: 2.753e-05, eta: 5:10:20, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1572, decode.acc_seg: 93.9507, loss: 0.1572 2023-01-06 05:27:00,212 - mmseg - INFO - Iter [86650/160000] lr: 2.751e-05, eta: 5:10:06, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1567, decode.acc_seg: 93.8392, loss: 0.1567 2023-01-06 05:27:14,850 - mmseg - INFO - Iter [86700/160000] lr: 2.749e-05, eta: 5:09:55, time: 0.293, data_time: 0.054, memory: 9544, decode.loss_ce: 0.1532, decode.acc_seg: 93.8885, loss: 0.1532 2023-01-06 05:27:27,088 - mmseg - INFO - Iter [86750/160000] lr: 2.747e-05, eta: 5:09:42, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1633, decode.acc_seg: 93.8407, loss: 0.1633 2023-01-06 05:27:39,492 - mmseg - INFO - Iter [86800/160000] lr: 2.745e-05, eta: 5:09:29, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1546, decode.acc_seg: 93.8549, loss: 0.1546 2023-01-06 05:27:51,817 - mmseg - INFO - Iter [86850/160000] lr: 2.743e-05, eta: 5:09:16, time: 0.246, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1559, decode.acc_seg: 93.9631, loss: 0.1559 2023-01-06 05:28:03,883 - mmseg - INFO - Iter [86900/160000] lr: 2.741e-05, eta: 5:09:03, time: 0.242, data_time: 0.021, memory: 9544, decode.loss_ce: 0.1568, decode.acc_seg: 93.9204, loss: 0.1568 2023-01-06 05:28:16,060 - mmseg - INFO - Iter [86950/160000] lr: 2.739e-05, eta: 5:08:50, time: 0.244, data_time: 0.078, memory: 9544, decode.loss_ce: 0.1644, decode.acc_seg: 93.7855, loss: 0.1644 2023-01-06 05:28:28,471 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 05:28:28,471 - mmseg - INFO - Iter [87000/160000] lr: 2.738e-05, eta: 5:08:37, time: 0.248, data_time: 0.031, memory: 9544, decode.loss_ce: 0.1643, decode.acc_seg: 93.5267, loss: 0.1643 2023-01-06 05:28:43,121 - mmseg - INFO - Iter [87050/160000] lr: 2.736e-05, eta: 5:08:26, time: 0.293, data_time: 0.107, memory: 9544, decode.loss_ce: 0.1726, decode.acc_seg: 93.4955, loss: 0.1726 2023-01-06 05:28:55,458 - mmseg - INFO - Iter [87100/160000] lr: 2.734e-05, eta: 5:08:13, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1519, decode.acc_seg: 94.0653, loss: 0.1519 2023-01-06 05:29:07,720 - mmseg - INFO - Iter [87150/160000] lr: 2.732e-05, eta: 5:08:00, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1525, decode.acc_seg: 94.2241, loss: 0.1525 2023-01-06 05:29:19,938 - mmseg - INFO - Iter [87200/160000] lr: 2.730e-05, eta: 5:07:47, time: 0.244, data_time: 0.022, memory: 9544, decode.loss_ce: 0.1686, decode.acc_seg: 93.3446, loss: 0.1686 2023-01-06 05:29:32,229 - mmseg - INFO - Iter [87250/160000] lr: 2.728e-05, eta: 5:07:34, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1572, decode.acc_seg: 93.8497, loss: 0.1572 2023-01-06 05:29:44,684 - mmseg - INFO - Iter [87300/160000] lr: 2.726e-05, eta: 5:07:21, time: 0.249, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1656, decode.acc_seg: 93.5834, loss: 0.1656 2023-01-06 05:29:57,009 - mmseg - INFO - Iter [87350/160000] lr: 2.724e-05, eta: 5:07:08, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1667, decode.acc_seg: 93.6910, loss: 0.1667 2023-01-06 05:30:09,466 - mmseg - INFO - Iter [87400/160000] lr: 2.723e-05, eta: 5:06:55, time: 0.249, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1536, decode.acc_seg: 93.9303, loss: 0.1536 2023-01-06 05:30:24,306 - mmseg - INFO - Iter [87450/160000] lr: 2.721e-05, eta: 5:06:44, time: 0.297, data_time: 0.055, memory: 9544, decode.loss_ce: 0.1584, decode.acc_seg: 93.8091, loss: 0.1584 2023-01-06 05:30:36,490 - mmseg - INFO - Iter [87500/160000] lr: 2.719e-05, eta: 5:06:31, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1639, decode.acc_seg: 93.6545, loss: 0.1639 2023-01-06 05:30:48,667 - mmseg - INFO - Iter [87550/160000] lr: 2.717e-05, eta: 5:06:18, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1547, decode.acc_seg: 93.9728, loss: 0.1547 2023-01-06 05:31:01,061 - mmseg - INFO - Iter [87600/160000] lr: 2.715e-05, eta: 5:06:05, time: 0.248, data_time: 0.069, memory: 9544, decode.loss_ce: 0.1564, decode.acc_seg: 93.8826, loss: 0.1564 2023-01-06 05:31:13,365 - mmseg - INFO - Iter [87650/160000] lr: 2.713e-05, eta: 5:05:52, time: 0.246, data_time: 0.025, memory: 9544, decode.loss_ce: 0.1542, decode.acc_seg: 93.9503, loss: 0.1542 2023-01-06 05:31:25,664 - mmseg - INFO - Iter [87700/160000] lr: 2.711e-05, eta: 5:05:39, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1522, decode.acc_seg: 94.0282, loss: 0.1522 2023-01-06 05:31:37,761 - mmseg - INFO - Iter [87750/160000] lr: 2.709e-05, eta: 5:05:26, time: 0.242, data_time: 0.048, memory: 9544, decode.loss_ce: 0.1588, decode.acc_seg: 93.8870, loss: 0.1588 2023-01-06 05:31:52,219 - mmseg - INFO - Iter [87800/160000] lr: 2.708e-05, eta: 5:05:15, time: 0.289, data_time: 0.078, memory: 9544, decode.loss_ce: 0.1563, decode.acc_seg: 94.0041, loss: 0.1563 2023-01-06 05:32:04,810 - mmseg - INFO - Iter [87850/160000] lr: 2.706e-05, eta: 5:05:02, time: 0.252, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1547, decode.acc_seg: 93.9604, loss: 0.1547 2023-01-06 05:32:17,230 - mmseg - INFO - Iter [87900/160000] lr: 2.704e-05, eta: 5:04:49, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1725, decode.acc_seg: 93.3026, loss: 0.1725 2023-01-06 05:32:29,423 - mmseg - INFO - Iter [87950/160000] lr: 2.702e-05, eta: 5:04:36, time: 0.244, data_time: 0.057, memory: 9544, decode.loss_ce: 0.1646, decode.acc_seg: 93.5194, loss: 0.1646 2023-01-06 05:32:41,937 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 05:32:41,938 - mmseg - INFO - Iter [88000/160000] lr: 2.700e-05, eta: 5:04:23, time: 0.250, data_time: 0.083, memory: 9544, decode.loss_ce: 0.1569, decode.acc_seg: 93.7315, loss: 0.1569 2023-01-06 05:32:54,249 - mmseg - INFO - Iter [88050/160000] lr: 2.698e-05, eta: 5:04:10, time: 0.246, data_time: 0.077, memory: 9544, decode.loss_ce: 0.1720, decode.acc_seg: 93.2876, loss: 0.1720 2023-01-06 05:33:06,700 - mmseg - INFO - Iter [88100/160000] lr: 2.696e-05, eta: 5:03:57, time: 0.249, data_time: 0.021, memory: 9544, decode.loss_ce: 0.1483, decode.acc_seg: 94.2049, loss: 0.1483 2023-01-06 05:33:19,018 - mmseg - INFO - Iter [88150/160000] lr: 2.694e-05, eta: 5:03:44, time: 0.246, data_time: 0.018, memory: 9544, decode.loss_ce: 0.1465, decode.acc_seg: 94.1462, loss: 0.1465 2023-01-06 05:33:33,758 - mmseg - INFO - Iter [88200/160000] lr: 2.693e-05, eta: 5:03:33, time: 0.295, data_time: 0.058, memory: 9544, decode.loss_ce: 0.1515, decode.acc_seg: 93.9835, loss: 0.1515 2023-01-06 05:33:46,053 - mmseg - INFO - Iter [88250/160000] lr: 2.691e-05, eta: 5:03:20, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1628, decode.acc_seg: 93.5063, loss: 0.1628 2023-01-06 05:33:58,503 - mmseg - INFO - Iter [88300/160000] lr: 2.689e-05, eta: 5:03:08, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1422, decode.acc_seg: 94.3224, loss: 0.1422 2023-01-06 05:34:11,188 - mmseg - INFO - Iter [88350/160000] lr: 2.687e-05, eta: 5:02:55, time: 0.254, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1553, decode.acc_seg: 94.1380, loss: 0.1553 2023-01-06 05:34:23,890 - mmseg - INFO - Iter [88400/160000] lr: 2.685e-05, eta: 5:02:42, time: 0.254, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1651, decode.acc_seg: 93.9435, loss: 0.1651 2023-01-06 05:34:36,358 - mmseg - INFO - Iter [88450/160000] lr: 2.683e-05, eta: 5:02:29, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1639, decode.acc_seg: 93.7240, loss: 0.1639 2023-01-06 05:34:48,903 - mmseg - INFO - Iter [88500/160000] lr: 2.681e-05, eta: 5:02:17, time: 0.251, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1641, decode.acc_seg: 93.4730, loss: 0.1641 2023-01-06 05:35:03,728 - mmseg - INFO - Iter [88550/160000] lr: 2.679e-05, eta: 5:02:06, time: 0.297, data_time: 0.057, memory: 9544, decode.loss_ce: 0.1851, decode.acc_seg: 92.8848, loss: 0.1851 2023-01-06 05:35:16,238 - mmseg - INFO - Iter [88600/160000] lr: 2.678e-05, eta: 5:01:53, time: 0.250, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1727, decode.acc_seg: 93.2532, loss: 0.1727 2023-01-06 05:35:28,551 - mmseg - INFO - Iter [88650/160000] lr: 2.676e-05, eta: 5:01:40, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1684, decode.acc_seg: 93.4626, loss: 0.1684 2023-01-06 05:35:40,742 - mmseg - INFO - Iter [88700/160000] lr: 2.674e-05, eta: 5:01:27, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1519, decode.acc_seg: 94.0105, loss: 0.1519 2023-01-06 05:35:53,077 - mmseg - INFO - Iter [88750/160000] lr: 2.672e-05, eta: 5:01:14, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1392, decode.acc_seg: 94.3889, loss: 0.1392 2023-01-06 05:36:05,495 - mmseg - INFO - Iter [88800/160000] lr: 2.670e-05, eta: 5:01:01, time: 0.248, data_time: 0.017, memory: 9544, decode.loss_ce: 0.1481, decode.acc_seg: 94.1303, loss: 0.1481 2023-01-06 05:36:17,757 - mmseg - INFO - Iter [88850/160000] lr: 2.668e-05, eta: 5:00:48, time: 0.245, data_time: 0.044, memory: 9544, decode.loss_ce: 0.1802, decode.acc_seg: 93.3981, loss: 0.1802 2023-01-06 05:36:30,235 - mmseg - INFO - Iter [88900/160000] lr: 2.666e-05, eta: 5:00:35, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1636, decode.acc_seg: 93.7823, loss: 0.1636 2023-01-06 05:36:44,875 - mmseg - INFO - Iter [88950/160000] lr: 2.664e-05, eta: 5:00:24, time: 0.293, data_time: 0.058, memory: 9544, decode.loss_ce: 0.1617, decode.acc_seg: 93.6319, loss: 0.1617 2023-01-06 05:36:57,327 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 05:36:57,328 - mmseg - INFO - Iter [89000/160000] lr: 2.663e-05, eta: 5:00:11, time: 0.249, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1456, decode.acc_seg: 94.2328, loss: 0.1456 2023-01-06 05:37:09,622 - mmseg - INFO - Iter [89050/160000] lr: 2.661e-05, eta: 4:59:58, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1557, decode.acc_seg: 94.1438, loss: 0.1557 2023-01-06 05:37:22,192 - mmseg - INFO - Iter [89100/160000] lr: 2.659e-05, eta: 4:59:45, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1514, decode.acc_seg: 94.1426, loss: 0.1514 2023-01-06 05:37:34,386 - mmseg - INFO - Iter [89150/160000] lr: 2.657e-05, eta: 4:59:32, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1513, decode.acc_seg: 94.0632, loss: 0.1513 2023-01-06 05:37:46,962 - mmseg - INFO - Iter [89200/160000] lr: 2.655e-05, eta: 4:59:19, time: 0.252, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1665, decode.acc_seg: 93.5836, loss: 0.1665 2023-01-06 05:37:59,391 - mmseg - INFO - Iter [89250/160000] lr: 2.653e-05, eta: 4:59:07, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1693, decode.acc_seg: 93.5348, loss: 0.1693 2023-01-06 05:38:14,196 - mmseg - INFO - Iter [89300/160000] lr: 2.651e-05, eta: 4:58:56, time: 0.296, data_time: 0.085, memory: 9544, decode.loss_ce: 0.1620, decode.acc_seg: 93.6087, loss: 0.1620 2023-01-06 05:38:26,681 - mmseg - INFO - Iter [89350/160000] lr: 2.649e-05, eta: 4:58:43, time: 0.249, data_time: 0.047, memory: 9544, decode.loss_ce: 0.1555, decode.acc_seg: 93.9159, loss: 0.1555 2023-01-06 05:38:38,995 - mmseg - INFO - Iter [89400/160000] lr: 2.648e-05, eta: 4:58:30, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1640, decode.acc_seg: 93.7574, loss: 0.1640 2023-01-06 05:38:51,588 - mmseg - INFO - Iter [89450/160000] lr: 2.646e-05, eta: 4:58:17, time: 0.252, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1523, decode.acc_seg: 94.0368, loss: 0.1523 2023-01-06 05:39:04,081 - mmseg - INFO - Iter [89500/160000] lr: 2.644e-05, eta: 4:58:04, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1497, decode.acc_seg: 94.1199, loss: 0.1497 2023-01-06 05:39:16,314 - mmseg - INFO - Iter [89550/160000] lr: 2.642e-05, eta: 4:57:51, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1530, decode.acc_seg: 94.0338, loss: 0.1530 2023-01-06 05:39:28,323 - mmseg - INFO - Iter [89600/160000] lr: 2.640e-05, eta: 4:57:38, time: 0.240, data_time: 0.024, memory: 9544, decode.loss_ce: 0.1486, decode.acc_seg: 94.1632, loss: 0.1486 2023-01-06 05:39:40,401 - mmseg - INFO - Iter [89650/160000] lr: 2.638e-05, eta: 4:57:25, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1555, decode.acc_seg: 93.8000, loss: 0.1555 2023-01-06 05:39:54,992 - mmseg - INFO - Iter [89700/160000] lr: 2.636e-05, eta: 4:57:13, time: 0.292, data_time: 0.054, memory: 9544, decode.loss_ce: 0.1562, decode.acc_seg: 93.8838, loss: 0.1562 2023-01-06 05:40:07,435 - mmseg - INFO - Iter [89750/160000] lr: 2.634e-05, eta: 4:57:01, time: 0.249, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1594, decode.acc_seg: 93.6956, loss: 0.1594 2023-01-06 05:40:19,793 - mmseg - INFO - Iter [89800/160000] lr: 2.633e-05, eta: 4:56:48, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1549, decode.acc_seg: 93.7344, loss: 0.1549 2023-01-06 05:40:31,934 - mmseg - INFO - Iter [89850/160000] lr: 2.631e-05, eta: 4:56:35, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1517, decode.acc_seg: 94.0129, loss: 0.1517 2023-01-06 05:40:44,095 - mmseg - INFO - Iter [89900/160000] lr: 2.629e-05, eta: 4:56:21, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1436, decode.acc_seg: 94.3755, loss: 0.1436 2023-01-06 05:40:56,471 - mmseg - INFO - Iter [89950/160000] lr: 2.627e-05, eta: 4:56:09, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1586, decode.acc_seg: 93.8825, loss: 0.1586 2023-01-06 05:41:08,493 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 05:41:08,495 - mmseg - INFO - Iter [90000/160000] lr: 2.625e-05, eta: 4:55:55, time: 0.241, data_time: 0.024, memory: 9544, decode.loss_ce: 0.1580, decode.acc_seg: 93.8297, loss: 0.1580 2023-01-06 05:41:22,987 - mmseg - INFO - Iter [90050/160000] lr: 2.623e-05, eta: 4:55:44, time: 0.290, data_time: 0.089, memory: 9544, decode.loss_ce: 0.1614, decode.acc_seg: 93.8451, loss: 0.1614 2023-01-06 05:41:35,221 - mmseg - INFO - Iter [90100/160000] lr: 2.621e-05, eta: 4:55:31, time: 0.245, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1657, decode.acc_seg: 93.4208, loss: 0.1657 2023-01-06 05:41:47,421 - mmseg - INFO - Iter [90150/160000] lr: 2.619e-05, eta: 4:55:18, time: 0.244, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1627, decode.acc_seg: 93.7143, loss: 0.1627 2023-01-06 05:41:59,615 - mmseg - INFO - Iter [90200/160000] lr: 2.618e-05, eta: 4:55:05, time: 0.244, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1561, decode.acc_seg: 93.9199, loss: 0.1561 2023-01-06 05:42:12,095 - mmseg - INFO - Iter [90250/160000] lr: 2.616e-05, eta: 4:54:52, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1583, decode.acc_seg: 93.8325, loss: 0.1583 2023-01-06 05:42:24,644 - mmseg - INFO - Iter [90300/160000] lr: 2.614e-05, eta: 4:54:39, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1616, decode.acc_seg: 93.7288, loss: 0.1616 2023-01-06 05:42:37,063 - mmseg - INFO - Iter [90350/160000] lr: 2.612e-05, eta: 4:54:26, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1675, decode.acc_seg: 93.4357, loss: 0.1675 2023-01-06 05:42:51,840 - mmseg - INFO - Iter [90400/160000] lr: 2.610e-05, eta: 4:54:15, time: 0.296, data_time: 0.057, memory: 9544, decode.loss_ce: 0.1628, decode.acc_seg: 93.6590, loss: 0.1628 2023-01-06 05:43:04,497 - mmseg - INFO - Iter [90450/160000] lr: 2.608e-05, eta: 4:54:03, time: 0.253, data_time: 0.080, memory: 9544, decode.loss_ce: 0.1566, decode.acc_seg: 93.9266, loss: 0.1566 2023-01-06 05:43:17,054 - mmseg - INFO - Iter [90500/160000] lr: 2.606e-05, eta: 4:53:50, time: 0.251, data_time: 0.086, memory: 9544, decode.loss_ce: 0.1603, decode.acc_seg: 93.8187, loss: 0.1603 2023-01-06 05:43:29,344 - mmseg - INFO - Iter [90550/160000] lr: 2.604e-05, eta: 4:53:37, time: 0.246, data_time: 0.076, memory: 9544, decode.loss_ce: 0.1473, decode.acc_seg: 94.2496, loss: 0.1473 2023-01-06 05:43:41,823 - mmseg - INFO - Iter [90600/160000] lr: 2.603e-05, eta: 4:53:24, time: 0.250, data_time: 0.041, memory: 9544, decode.loss_ce: 0.1663, decode.acc_seg: 93.4345, loss: 0.1663 2023-01-06 05:43:54,112 - mmseg - INFO - Iter [90650/160000] lr: 2.601e-05, eta: 4:53:11, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1462, decode.acc_seg: 94.2262, loss: 0.1462 2023-01-06 05:44:06,483 - mmseg - INFO - Iter [90700/160000] lr: 2.599e-05, eta: 4:52:58, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1659, decode.acc_seg: 93.6966, loss: 0.1659 2023-01-06 05:44:18,890 - mmseg - INFO - Iter [90750/160000] lr: 2.597e-05, eta: 4:52:45, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1673, decode.acc_seg: 93.6280, loss: 0.1673 2023-01-06 05:44:33,429 - mmseg - INFO - Iter [90800/160000] lr: 2.595e-05, eta: 4:52:34, time: 0.291, data_time: 0.084, memory: 9544, decode.loss_ce: 0.1713, decode.acc_seg: 93.3989, loss: 0.1713 2023-01-06 05:44:45,702 - mmseg - INFO - Iter [90850/160000] lr: 2.593e-05, eta: 4:52:21, time: 0.245, data_time: 0.023, memory: 9544, decode.loss_ce: 0.1520, decode.acc_seg: 93.8577, loss: 0.1520 2023-01-06 05:44:58,253 - mmseg - INFO - Iter [90900/160000] lr: 2.591e-05, eta: 4:52:08, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1479, decode.acc_seg: 94.1733, loss: 0.1479 2023-01-06 05:45:10,618 - mmseg - INFO - Iter [90950/160000] lr: 2.589e-05, eta: 4:51:55, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1545, decode.acc_seg: 94.1768, loss: 0.1545 2023-01-06 05:45:22,869 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 05:45:22,869 - mmseg - INFO - Iter [91000/160000] lr: 2.588e-05, eta: 4:51:42, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1634, decode.acc_seg: 93.6476, loss: 0.1634 2023-01-06 05:45:35,262 - mmseg - INFO - Iter [91050/160000] lr: 2.586e-05, eta: 4:51:29, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1518, decode.acc_seg: 94.1852, loss: 0.1518 2023-01-06 05:45:47,667 - mmseg - INFO - Iter [91100/160000] lr: 2.584e-05, eta: 4:51:16, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1720, decode.acc_seg: 93.3784, loss: 0.1720 2023-01-06 05:46:02,175 - mmseg - INFO - Iter [91150/160000] lr: 2.582e-05, eta: 4:51:05, time: 0.290, data_time: 0.057, memory: 9544, decode.loss_ce: 0.1562, decode.acc_seg: 93.8565, loss: 0.1562 2023-01-06 05:46:14,433 - mmseg - INFO - Iter [91200/160000] lr: 2.580e-05, eta: 4:50:52, time: 0.245, data_time: 0.028, memory: 9544, decode.loss_ce: 0.1511, decode.acc_seg: 94.0640, loss: 0.1511 2023-01-06 05:46:26,717 - mmseg - INFO - Iter [91250/160000] lr: 2.578e-05, eta: 4:50:39, time: 0.246, data_time: 0.016, memory: 9544, decode.loss_ce: 0.1456, decode.acc_seg: 94.2864, loss: 0.1456 2023-01-06 05:46:39,092 - mmseg - INFO - Iter [91300/160000] lr: 2.576e-05, eta: 4:50:26, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1588, decode.acc_seg: 93.6478, loss: 0.1588 2023-01-06 05:46:51,442 - mmseg - INFO - Iter [91350/160000] lr: 2.574e-05, eta: 4:50:13, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1581, decode.acc_seg: 93.8983, loss: 0.1581 2023-01-06 05:47:03,711 - mmseg - INFO - Iter [91400/160000] lr: 2.573e-05, eta: 4:50:00, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1508, decode.acc_seg: 94.0495, loss: 0.1508 2023-01-06 05:47:16,108 - mmseg - INFO - Iter [91450/160000] lr: 2.571e-05, eta: 4:49:47, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1613, decode.acc_seg: 93.7063, loss: 0.1613 2023-01-06 05:47:28,379 - mmseg - INFO - Iter [91500/160000] lr: 2.569e-05, eta: 4:49:34, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1848, decode.acc_seg: 92.9277, loss: 0.1848 2023-01-06 05:47:42,730 - mmseg - INFO - Iter [91550/160000] lr: 2.567e-05, eta: 4:49:23, time: 0.287, data_time: 0.076, memory: 9544, decode.loss_ce: 0.1511, decode.acc_seg: 93.9890, loss: 0.1511 2023-01-06 05:47:55,004 - mmseg - INFO - Iter [91600/160000] lr: 2.565e-05, eta: 4:49:10, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1485, decode.acc_seg: 94.0546, loss: 0.1485 2023-01-06 05:48:06,980 - mmseg - INFO - Iter [91650/160000] lr: 2.563e-05, eta: 4:48:57, time: 0.240, data_time: 0.016, memory: 9544, decode.loss_ce: 0.1502, decode.acc_seg: 94.1880, loss: 0.1502 2023-01-06 05:48:19,585 - mmseg - INFO - Iter [91700/160000] lr: 2.561e-05, eta: 4:48:44, time: 0.252, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1696, decode.acc_seg: 93.6309, loss: 0.1696 2023-01-06 05:48:31,773 - mmseg - INFO - Iter [91750/160000] lr: 2.559e-05, eta: 4:48:31, time: 0.244, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1507, decode.acc_seg: 94.1310, loss: 0.1507 2023-01-06 05:48:44,139 - mmseg - INFO - Iter [91800/160000] lr: 2.558e-05, eta: 4:48:18, time: 0.247, data_time: 0.032, memory: 9544, decode.loss_ce: 0.1515, decode.acc_seg: 94.0897, loss: 0.1515 2023-01-06 05:48:56,356 - mmseg - INFO - Iter [91850/160000] lr: 2.556e-05, eta: 4:48:05, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1640, decode.acc_seg: 93.5962, loss: 0.1640 2023-01-06 05:49:10,731 - mmseg - INFO - Iter [91900/160000] lr: 2.554e-05, eta: 4:47:54, time: 0.288, data_time: 0.056, memory: 9544, decode.loss_ce: 0.1612, decode.acc_seg: 93.8812, loss: 0.1612 2023-01-06 05:49:23,061 - mmseg - INFO - Iter [91950/160000] lr: 2.552e-05, eta: 4:47:41, time: 0.246, data_time: 0.016, memory: 9544, decode.loss_ce: 0.1528, decode.acc_seg: 94.1431, loss: 0.1528 2023-01-06 05:49:35,526 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 05:49:35,527 - mmseg - INFO - Iter [92000/160000] lr: 2.550e-05, eta: 4:47:28, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1661, decode.acc_seg: 93.5743, loss: 0.1661 2023-01-06 05:49:47,828 - mmseg - INFO - Iter [92050/160000] lr: 2.548e-05, eta: 4:47:15, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1607, decode.acc_seg: 93.6287, loss: 0.1607 2023-01-06 05:50:00,504 - mmseg - INFO - Iter [92100/160000] lr: 2.546e-05, eta: 4:47:02, time: 0.254, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1564, decode.acc_seg: 93.9714, loss: 0.1564 2023-01-06 05:50:12,933 - mmseg - INFO - Iter [92150/160000] lr: 2.544e-05, eta: 4:46:49, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1591, decode.acc_seg: 93.8569, loss: 0.1591 2023-01-06 05:50:25,211 - mmseg - INFO - Iter [92200/160000] lr: 2.543e-05, eta: 4:46:36, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1480, decode.acc_seg: 94.2163, loss: 0.1480 2023-01-06 05:50:37,510 - mmseg - INFO - Iter [92250/160000] lr: 2.541e-05, eta: 4:46:23, time: 0.246, data_time: 0.014, memory: 9544, decode.loss_ce: 0.1480, decode.acc_seg: 94.2321, loss: 0.1480 2023-01-06 05:50:51,944 - mmseg - INFO - Iter [92300/160000] lr: 2.539e-05, eta: 4:46:12, time: 0.289, data_time: 0.061, memory: 9544, decode.loss_ce: 0.1588, decode.acc_seg: 93.7905, loss: 0.1588 2023-01-06 05:51:04,083 - mmseg - INFO - Iter [92350/160000] lr: 2.537e-05, eta: 4:45:59, time: 0.243, data_time: 0.026, memory: 9544, decode.loss_ce: 0.1545, decode.acc_seg: 94.0134, loss: 0.1545 2023-01-06 05:51:16,404 - mmseg - INFO - Iter [92400/160000] lr: 2.535e-05, eta: 4:45:46, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1591, decode.acc_seg: 93.8528, loss: 0.1591 2023-01-06 05:51:28,723 - mmseg - INFO - Iter [92450/160000] lr: 2.533e-05, eta: 4:45:33, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1539, decode.acc_seg: 93.9742, loss: 0.1539 2023-01-06 05:51:41,086 - mmseg - INFO - Iter [92500/160000] lr: 2.531e-05, eta: 4:45:20, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1521, decode.acc_seg: 93.8730, loss: 0.1521 2023-01-06 05:51:53,300 - mmseg - INFO - Iter [92550/160000] lr: 2.529e-05, eta: 4:45:07, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1628, decode.acc_seg: 93.7572, loss: 0.1628 2023-01-06 05:52:05,640 - mmseg - INFO - Iter [92600/160000] lr: 2.528e-05, eta: 4:44:54, time: 0.247, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1480, decode.acc_seg: 94.1821, loss: 0.1480 2023-01-06 05:52:20,154 - mmseg - INFO - Iter [92650/160000] lr: 2.526e-05, eta: 4:44:43, time: 0.290, data_time: 0.081, memory: 9544, decode.loss_ce: 0.1461, decode.acc_seg: 94.2244, loss: 0.1461 2023-01-06 05:52:32,546 - mmseg - INFO - Iter [92700/160000] lr: 2.524e-05, eta: 4:44:30, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1516, decode.acc_seg: 93.8551, loss: 0.1516 2023-01-06 05:52:45,067 - mmseg - INFO - Iter [92750/160000] lr: 2.522e-05, eta: 4:44:17, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1562, decode.acc_seg: 94.0693, loss: 0.1562 2023-01-06 05:52:57,304 - mmseg - INFO - Iter [92800/160000] lr: 2.520e-05, eta: 4:44:04, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1588, decode.acc_seg: 93.8587, loss: 0.1588 2023-01-06 05:53:09,571 - mmseg - INFO - Iter [92850/160000] lr: 2.518e-05, eta: 4:43:51, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1492, decode.acc_seg: 94.2415, loss: 0.1492 2023-01-06 05:53:21,901 - mmseg - INFO - Iter [92900/160000] lr: 2.516e-05, eta: 4:43:38, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1526, decode.acc_seg: 94.1114, loss: 0.1526 2023-01-06 05:53:34,193 - mmseg - INFO - Iter [92950/160000] lr: 2.514e-05, eta: 4:43:25, time: 0.246, data_time: 0.018, memory: 9544, decode.loss_ce: 0.1665, decode.acc_seg: 93.4427, loss: 0.1665 2023-01-06 05:53:46,454 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 05:53:46,454 - mmseg - INFO - Iter [93000/160000] lr: 2.513e-05, eta: 4:43:12, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1535, decode.acc_seg: 93.9588, loss: 0.1535 2023-01-06 05:54:01,172 - mmseg - INFO - Iter [93050/160000] lr: 2.511e-05, eta: 4:43:01, time: 0.295, data_time: 0.055, memory: 9544, decode.loss_ce: 0.1415, decode.acc_seg: 94.2626, loss: 0.1415 2023-01-06 05:54:13,703 - mmseg - INFO - Iter [93100/160000] lr: 2.509e-05, eta: 4:42:48, time: 0.250, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1637, decode.acc_seg: 93.6490, loss: 0.1637 2023-01-06 05:54:25,920 - mmseg - INFO - Iter [93150/160000] lr: 2.507e-05, eta: 4:42:35, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1520, decode.acc_seg: 94.0548, loss: 0.1520 2023-01-06 05:54:38,049 - mmseg - INFO - Iter [93200/160000] lr: 2.505e-05, eta: 4:42:22, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1593, decode.acc_seg: 93.9521, loss: 0.1593 2023-01-06 05:54:50,335 - mmseg - INFO - Iter [93250/160000] lr: 2.503e-05, eta: 4:42:09, time: 0.246, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1654, decode.acc_seg: 93.4799, loss: 0.1654 2023-01-06 05:55:02,744 - mmseg - INFO - Iter [93300/160000] lr: 2.501e-05, eta: 4:41:56, time: 0.248, data_time: 0.078, memory: 9544, decode.loss_ce: 0.1624, decode.acc_seg: 93.4896, loss: 0.1624 2023-01-06 05:55:15,172 - mmseg - INFO - Iter [93350/160000] lr: 2.499e-05, eta: 4:41:43, time: 0.249, data_time: 0.029, memory: 9544, decode.loss_ce: 0.1611, decode.acc_seg: 93.6803, loss: 0.1611 2023-01-06 05:55:29,705 - mmseg - INFO - Iter [93400/160000] lr: 2.498e-05, eta: 4:41:32, time: 0.290, data_time: 0.076, memory: 9544, decode.loss_ce: 0.1569, decode.acc_seg: 93.7735, loss: 0.1569 2023-01-06 05:55:42,118 - mmseg - INFO - Iter [93450/160000] lr: 2.496e-05, eta: 4:41:19, time: 0.248, data_time: 0.019, memory: 9544, decode.loss_ce: 0.1516, decode.acc_seg: 94.1769, loss: 0.1516 2023-01-06 05:55:54,503 - mmseg - INFO - Iter [93500/160000] lr: 2.494e-05, eta: 4:41:06, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1599, decode.acc_seg: 93.7908, loss: 0.1599 2023-01-06 05:56:06,682 - mmseg - INFO - Iter [93550/160000] lr: 2.492e-05, eta: 4:40:53, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1569, decode.acc_seg: 93.9028, loss: 0.1569 2023-01-06 05:56:18,926 - mmseg - INFO - Iter [93600/160000] lr: 2.490e-05, eta: 4:40:40, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1616, decode.acc_seg: 93.7013, loss: 0.1616 2023-01-06 05:56:31,273 - mmseg - INFO - Iter [93650/160000] lr: 2.488e-05, eta: 4:40:27, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1484, decode.acc_seg: 94.1286, loss: 0.1484 2023-01-06 05:56:43,606 - mmseg - INFO - Iter [93700/160000] lr: 2.486e-05, eta: 4:40:14, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1450, decode.acc_seg: 94.3787, loss: 0.1450 2023-01-06 05:56:58,198 - mmseg - INFO - Iter [93750/160000] lr: 2.484e-05, eta: 4:40:03, time: 0.292, data_time: 0.061, memory: 9544, decode.loss_ce: 0.1424, decode.acc_seg: 94.5927, loss: 0.1424 2023-01-06 05:57:10,534 - mmseg - INFO - Iter [93800/160000] lr: 2.483e-05, eta: 4:39:50, time: 0.247, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1553, decode.acc_seg: 93.8990, loss: 0.1553 2023-01-06 05:57:22,751 - mmseg - INFO - Iter [93850/160000] lr: 2.481e-05, eta: 4:39:37, time: 0.244, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1689, decode.acc_seg: 93.2924, loss: 0.1689 2023-01-06 05:57:35,020 - mmseg - INFO - Iter [93900/160000] lr: 2.479e-05, eta: 4:39:24, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1584, decode.acc_seg: 94.0573, loss: 0.1584 2023-01-06 05:57:47,282 - mmseg - INFO - Iter [93950/160000] lr: 2.477e-05, eta: 4:39:11, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1415, decode.acc_seg: 94.4476, loss: 0.1415 2023-01-06 05:57:59,542 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 05:57:59,543 - mmseg - INFO - Iter [94000/160000] lr: 2.475e-05, eta: 4:38:58, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1513, decode.acc_seg: 94.1312, loss: 0.1513 2023-01-06 05:58:12,059 - mmseg - INFO - Iter [94050/160000] lr: 2.473e-05, eta: 4:38:45, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1455, decode.acc_seg: 94.3695, loss: 0.1455 2023-01-06 05:58:24,234 - mmseg - INFO - Iter [94100/160000] lr: 2.471e-05, eta: 4:38:32, time: 0.243, data_time: 0.016, memory: 9544, decode.loss_ce: 0.1489, decode.acc_seg: 94.1052, loss: 0.1489 2023-01-06 05:58:38,993 - mmseg - INFO - Iter [94150/160000] lr: 2.469e-05, eta: 4:38:21, time: 0.295, data_time: 0.056, memory: 9544, decode.loss_ce: 0.1524, decode.acc_seg: 94.0219, loss: 0.1524 2023-01-06 05:58:51,095 - mmseg - INFO - Iter [94200/160000] lr: 2.468e-05, eta: 4:38:08, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1549, decode.acc_seg: 94.0835, loss: 0.1549 2023-01-06 05:59:03,260 - mmseg - INFO - Iter [94250/160000] lr: 2.466e-05, eta: 4:37:55, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1427, decode.acc_seg: 94.1445, loss: 0.1427 2023-01-06 05:59:15,789 - mmseg - INFO - Iter [94300/160000] lr: 2.464e-05, eta: 4:37:42, time: 0.251, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1466, decode.acc_seg: 94.1902, loss: 0.1466 2023-01-06 05:59:28,329 - mmseg - INFO - Iter [94350/160000] lr: 2.462e-05, eta: 4:37:29, time: 0.251, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1657, decode.acc_seg: 93.7728, loss: 0.1657 2023-01-06 05:59:40,641 - mmseg - INFO - Iter [94400/160000] lr: 2.460e-05, eta: 4:37:17, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1590, decode.acc_seg: 93.7592, loss: 0.1590 2023-01-06 05:59:52,746 - mmseg - INFO - Iter [94450/160000] lr: 2.458e-05, eta: 4:37:03, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1530, decode.acc_seg: 93.9136, loss: 0.1530 2023-01-06 06:00:07,128 - mmseg - INFO - Iter [94500/160000] lr: 2.456e-05, eta: 4:36:52, time: 0.288, data_time: 0.055, memory: 9544, decode.loss_ce: 0.1578, decode.acc_seg: 93.9015, loss: 0.1578 2023-01-06 06:00:19,369 - mmseg - INFO - Iter [94550/160000] lr: 2.454e-05, eta: 4:36:39, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1509, decode.acc_seg: 94.1361, loss: 0.1509 2023-01-06 06:00:31,708 - mmseg - INFO - Iter [94600/160000] lr: 2.453e-05, eta: 4:36:26, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1473, decode.acc_seg: 94.2431, loss: 0.1473 2023-01-06 06:00:44,192 - mmseg - INFO - Iter [94650/160000] lr: 2.451e-05, eta: 4:36:13, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1562, decode.acc_seg: 93.8401, loss: 0.1562 2023-01-06 06:00:56,313 - mmseg - INFO - Iter [94700/160000] lr: 2.449e-05, eta: 4:36:00, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1525, decode.acc_seg: 93.9631, loss: 0.1525 2023-01-06 06:01:08,489 - mmseg - INFO - Iter [94750/160000] lr: 2.447e-05, eta: 4:35:47, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1558, decode.acc_seg: 93.8070, loss: 0.1558 2023-01-06 06:01:20,710 - mmseg - INFO - Iter [94800/160000] lr: 2.445e-05, eta: 4:35:34, time: 0.244, data_time: 0.018, memory: 9544, decode.loss_ce: 0.1517, decode.acc_seg: 94.0460, loss: 0.1517 2023-01-06 06:01:33,081 - mmseg - INFO - Iter [94850/160000] lr: 2.443e-05, eta: 4:35:21, time: 0.247, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1612, decode.acc_seg: 93.8490, loss: 0.1612 2023-01-06 06:01:47,855 - mmseg - INFO - Iter [94900/160000] lr: 2.441e-05, eta: 4:35:10, time: 0.296, data_time: 0.054, memory: 9544, decode.loss_ce: 0.1657, decode.acc_seg: 93.7475, loss: 0.1657 2023-01-06 06:01:59,956 - mmseg - INFO - Iter [94950/160000] lr: 2.439e-05, eta: 4:34:57, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1580, decode.acc_seg: 93.8176, loss: 0.1580 2023-01-06 06:02:12,489 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 06:02:12,490 - mmseg - INFO - Iter [95000/160000] lr: 2.438e-05, eta: 4:34:44, time: 0.251, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1666, decode.acc_seg: 93.6279, loss: 0.1666 2023-01-06 06:02:24,903 - mmseg - INFO - Iter [95050/160000] lr: 2.436e-05, eta: 4:34:31, time: 0.248, data_time: 0.041, memory: 9544, decode.loss_ce: 0.1663, decode.acc_seg: 93.6188, loss: 0.1663 2023-01-06 06:02:37,017 - mmseg - INFO - Iter [95100/160000] lr: 2.434e-05, eta: 4:34:18, time: 0.242, data_time: 0.071, memory: 9544, decode.loss_ce: 0.1516, decode.acc_seg: 94.1847, loss: 0.1516 2023-01-06 06:02:49,168 - mmseg - INFO - Iter [95150/160000] lr: 2.432e-05, eta: 4:34:05, time: 0.243, data_time: 0.039, memory: 9544, decode.loss_ce: 0.1538, decode.acc_seg: 94.0409, loss: 0.1538 2023-01-06 06:03:01,296 - mmseg - INFO - Iter [95200/160000] lr: 2.430e-05, eta: 4:33:52, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1559, decode.acc_seg: 94.0528, loss: 0.1559 2023-01-06 06:03:15,696 - mmseg - INFO - Iter [95250/160000] lr: 2.428e-05, eta: 4:33:41, time: 0.288, data_time: 0.076, memory: 9544, decode.loss_ce: 0.1433, decode.acc_seg: 94.3646, loss: 0.1433 2023-01-06 06:03:28,019 - mmseg - INFO - Iter [95300/160000] lr: 2.426e-05, eta: 4:33:28, time: 0.247, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1616, decode.acc_seg: 93.7647, loss: 0.1616 2023-01-06 06:03:40,135 - mmseg - INFO - Iter [95350/160000] lr: 2.424e-05, eta: 4:33:15, time: 0.242, data_time: 0.019, memory: 9544, decode.loss_ce: 0.1452, decode.acc_seg: 94.3543, loss: 0.1452 2023-01-06 06:03:52,438 - mmseg - INFO - Iter [95400/160000] lr: 2.423e-05, eta: 4:33:02, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1622, decode.acc_seg: 93.6574, loss: 0.1622 2023-01-06 06:04:05,279 - mmseg - INFO - Iter [95450/160000] lr: 2.421e-05, eta: 4:32:49, time: 0.257, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1546, decode.acc_seg: 93.9700, loss: 0.1546 2023-01-06 06:04:17,917 - mmseg - INFO - Iter [95500/160000] lr: 2.419e-05, eta: 4:32:36, time: 0.253, data_time: 0.014, memory: 9544, decode.loss_ce: 0.1559, decode.acc_seg: 93.8872, loss: 0.1559 2023-01-06 06:04:30,590 - mmseg - INFO - Iter [95550/160000] lr: 2.417e-05, eta: 4:32:24, time: 0.253, data_time: 0.014, memory: 9544, decode.loss_ce: 0.1574, decode.acc_seg: 93.8335, loss: 0.1574 2023-01-06 06:04:43,343 - mmseg - INFO - Iter [95600/160000] lr: 2.415e-05, eta: 4:32:11, time: 0.255, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1468, decode.acc_seg: 94.2780, loss: 0.1468 2023-01-06 06:04:57,762 - mmseg - INFO - Iter [95650/160000] lr: 2.413e-05, eta: 4:32:00, time: 0.288, data_time: 0.056, memory: 9544, decode.loss_ce: 0.1504, decode.acc_seg: 94.0176, loss: 0.1504 2023-01-06 06:05:10,179 - mmseg - INFO - Iter [95700/160000] lr: 2.411e-05, eta: 4:31:47, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1557, decode.acc_seg: 93.9757, loss: 0.1557 2023-01-06 06:05:22,634 - mmseg - INFO - Iter [95750/160000] lr: 2.409e-05, eta: 4:31:34, time: 0.249, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1428, decode.acc_seg: 94.4311, loss: 0.1428 2023-01-06 06:05:35,252 - mmseg - INFO - Iter [95800/160000] lr: 2.408e-05, eta: 4:31:21, time: 0.252, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1533, decode.acc_seg: 94.0617, loss: 0.1533 2023-01-06 06:05:47,422 - mmseg - INFO - Iter [95850/160000] lr: 2.406e-05, eta: 4:31:08, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1480, decode.acc_seg: 94.2739, loss: 0.1480 2023-01-06 06:05:59,785 - mmseg - INFO - Iter [95900/160000] lr: 2.404e-05, eta: 4:30:55, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1570, decode.acc_seg: 93.9446, loss: 0.1570 2023-01-06 06:06:12,064 - mmseg - INFO - Iter [95950/160000] lr: 2.402e-05, eta: 4:30:42, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1474, decode.acc_seg: 94.1991, loss: 0.1474 2023-01-06 06:06:26,897 - mmseg - INFO - Saving checkpoint at 96000 iterations 2023-01-06 06:06:27,905 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 06:06:27,906 - mmseg - INFO - Iter [96000/160000] lr: 2.400e-05, eta: 4:30:32, time: 0.317, data_time: 0.083, memory: 9544, decode.loss_ce: 0.1654, decode.acc_seg: 93.5851, loss: 0.1654 2023-01-06 06:06:46,055 - mmseg - INFO - per class results: 2023-01-06 06:06:46,057 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 96.79 | 98.75 | | sidewalk | 75.37 | 84.71 | | building | 88.95 | 94.69 | | wall | 41.47 | 47.98 | | fence | 43.79 | 58.93 | | pole | 50.5 | 58.53 | | traffic light | 51.34 | 59.57 | | traffic sign | 64.81 | 75.27 | | vegetation | 90.48 | 96.5 | | terrain | 51.23 | 55.43 | | sky | 93.31 | 97.47 | | person | 69.15 | 85.59 | | rider | 32.42 | 37.7 | | car | 89.87 | 96.38 | | truck | 34.87 | 40.47 | | bus | 54.38 | 77.39 | | train | 27.16 | 37.43 | | motorcycle | 24.13 | 27.92 | | bicycle | 66.85 | 78.89 | +---------------+-------+-------+ 2023-01-06 06:06:46,058 - mmseg - INFO - Summary: 2023-01-06 06:06:46,058 - mmseg - INFO - +------+-------+-------+ | aAcc | mIoU | mAcc | +------+-------+-------+ | 93.8 | 60.36 | 68.93 | +------+-------+-------+ 2023-01-06 06:06:46,059 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 06:06:46,059 - mmseg - INFO - Iter(val) [63] aAcc: 0.9380, mIoU: 0.6036, mAcc: 0.6893, IoU.road: 0.9679, IoU.sidewalk: 0.7537, IoU.building: 0.8895, IoU.wall: 0.4147, IoU.fence: 0.4379, IoU.pole: 0.5050, IoU.traffic light: 0.5134, IoU.traffic sign: 0.6481, IoU.vegetation: 0.9048, IoU.terrain: 0.5123, IoU.sky: 0.9331, IoU.person: 0.6915, IoU.rider: 0.3242, IoU.car: 0.8987, IoU.truck: 0.3487, IoU.bus: 0.5438, IoU.train: 0.2716, IoU.motorcycle: 0.2413, IoU.bicycle: 0.6685, Acc.road: 0.9875, Acc.sidewalk: 0.8471, Acc.building: 0.9469, Acc.wall: 0.4798, Acc.fence: 0.5893, Acc.pole: 0.5853, Acc.traffic light: 0.5957, Acc.traffic sign: 0.7527, Acc.vegetation: 0.9650, Acc.terrain: 0.5543, Acc.sky: 0.9747, Acc.person: 0.8559, Acc.rider: 0.3770, Acc.car: 0.9638, Acc.truck: 0.4047, Acc.bus: 0.7739, Acc.train: 0.3743, Acc.motorcycle: 0.2792, Acc.bicycle: 0.7889 2023-01-06 06:06:58,338 - mmseg - INFO - Iter [96050/160000] lr: 2.398e-05, eta: 4:30:31, time: 0.608, data_time: 0.386, memory: 9544, decode.loss_ce: 0.1600, decode.acc_seg: 93.7799, loss: 0.1600 2023-01-06 06:07:10,460 - mmseg - INFO - Iter [96100/160000] lr: 2.396e-05, eta: 4:30:18, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1642, decode.acc_seg: 93.5471, loss: 0.1642 2023-01-06 06:07:22,896 - mmseg - INFO - Iter [96150/160000] lr: 2.394e-05, eta: 4:30:05, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1573, decode.acc_seg: 94.1065, loss: 0.1573 2023-01-06 06:07:35,012 - mmseg - INFO - Iter [96200/160000] lr: 2.393e-05, eta: 4:29:52, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1531, decode.acc_seg: 93.8462, loss: 0.1531 2023-01-06 06:07:47,212 - mmseg - INFO - Iter [96250/160000] lr: 2.391e-05, eta: 4:29:39, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1442, decode.acc_seg: 94.3229, loss: 0.1442 2023-01-06 06:07:59,325 - mmseg - INFO - Iter [96300/160000] lr: 2.389e-05, eta: 4:29:26, time: 0.242, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1537, decode.acc_seg: 94.0356, loss: 0.1537 2023-01-06 06:08:13,949 - mmseg - INFO - Iter [96350/160000] lr: 2.387e-05, eta: 4:29:14, time: 0.292, data_time: 0.057, memory: 9544, decode.loss_ce: 0.1655, decode.acc_seg: 93.6044, loss: 0.1655 2023-01-06 06:08:26,454 - mmseg - INFO - Iter [96400/160000] lr: 2.385e-05, eta: 4:29:02, time: 0.250, data_time: 0.015, memory: 9544, decode.loss_ce: 0.1670, decode.acc_seg: 93.5483, loss: 0.1670 2023-01-06 06:08:38,579 - mmseg - INFO - Iter [96450/160000] lr: 2.383e-05, eta: 4:28:48, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1536, decode.acc_seg: 93.9131, loss: 0.1536 2023-01-06 06:08:50,834 - mmseg - INFO - Iter [96500/160000] lr: 2.381e-05, eta: 4:28:35, time: 0.245, data_time: 0.032, memory: 9544, decode.loss_ce: 0.1495, decode.acc_seg: 94.1583, loss: 0.1495 2023-01-06 06:09:03,326 - mmseg - INFO - Iter [96550/160000] lr: 2.379e-05, eta: 4:28:23, time: 0.250, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1564, decode.acc_seg: 93.9411, loss: 0.1564 2023-01-06 06:09:15,500 - mmseg - INFO - Iter [96600/160000] lr: 2.378e-05, eta: 4:28:10, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1566, decode.acc_seg: 93.9518, loss: 0.1566 2023-01-06 06:09:27,662 - mmseg - INFO - Iter [96650/160000] lr: 2.376e-05, eta: 4:27:57, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1489, decode.acc_seg: 94.1541, loss: 0.1489 2023-01-06 06:09:39,931 - mmseg - INFO - Iter [96700/160000] lr: 2.374e-05, eta: 4:27:44, time: 0.245, data_time: 0.030, memory: 9544, decode.loss_ce: 0.1531, decode.acc_seg: 94.0970, loss: 0.1531 2023-01-06 06:09:54,626 - mmseg - INFO - Iter [96750/160000] lr: 2.372e-05, eta: 4:27:32, time: 0.294, data_time: 0.054, memory: 9544, decode.loss_ce: 0.1454, decode.acc_seg: 94.3666, loss: 0.1454 2023-01-06 06:10:07,019 - mmseg - INFO - Iter [96800/160000] lr: 2.370e-05, eta: 4:27:19, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1481, decode.acc_seg: 94.2743, loss: 0.1481 2023-01-06 06:10:19,466 - mmseg - INFO - Iter [96850/160000] lr: 2.368e-05, eta: 4:27:07, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1499, decode.acc_seg: 94.1170, loss: 0.1499 2023-01-06 06:10:31,691 - mmseg - INFO - Iter [96900/160000] lr: 2.366e-05, eta: 4:26:54, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1519, decode.acc_seg: 94.2016, loss: 0.1519 2023-01-06 06:10:43,701 - mmseg - INFO - Iter [96950/160000] lr: 2.364e-05, eta: 4:26:40, time: 0.240, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1594, decode.acc_seg: 93.6441, loss: 0.1594 2023-01-06 06:10:55,940 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 06:10:55,941 - mmseg - INFO - Iter [97000/160000] lr: 2.363e-05, eta: 4:26:27, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1538, decode.acc_seg: 93.9828, loss: 0.1538 2023-01-06 06:11:08,350 - mmseg - INFO - Iter [97050/160000] lr: 2.361e-05, eta: 4:26:15, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1493, decode.acc_seg: 94.2042, loss: 0.1493 2023-01-06 06:11:22,703 - mmseg - INFO - Iter [97100/160000] lr: 2.359e-05, eta: 4:26:03, time: 0.287, data_time: 0.066, memory: 9544, decode.loss_ce: 0.1538, decode.acc_seg: 93.8754, loss: 0.1538 2023-01-06 06:11:35,288 - mmseg - INFO - Iter [97150/160000] lr: 2.357e-05, eta: 4:25:50, time: 0.252, data_time: 0.027, memory: 9544, decode.loss_ce: 0.1585, decode.acc_seg: 93.9093, loss: 0.1585 2023-01-06 06:11:48,000 - mmseg - INFO - Iter [97200/160000] lr: 2.355e-05, eta: 4:25:38, time: 0.254, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1565, decode.acc_seg: 93.8030, loss: 0.1565 2023-01-06 06:12:00,079 - mmseg - INFO - Iter [97250/160000] lr: 2.353e-05, eta: 4:25:24, time: 0.241, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1555, decode.acc_seg: 93.8078, loss: 0.1555 2023-01-06 06:12:12,554 - mmseg - INFO - Iter [97300/160000] lr: 2.351e-05, eta: 4:25:12, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1578, decode.acc_seg: 93.8516, loss: 0.1578 2023-01-06 06:12:24,647 - mmseg - INFO - Iter [97350/160000] lr: 2.349e-05, eta: 4:24:59, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1554, decode.acc_seg: 94.0177, loss: 0.1554 2023-01-06 06:12:36,833 - mmseg - INFO - Iter [97400/160000] lr: 2.348e-05, eta: 4:24:46, time: 0.244, data_time: 0.025, memory: 9544, decode.loss_ce: 0.1462, decode.acc_seg: 94.3329, loss: 0.1462 2023-01-06 06:12:49,164 - mmseg - INFO - Iter [97450/160000] lr: 2.346e-05, eta: 4:24:33, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1526, decode.acc_seg: 93.9868, loss: 0.1526 2023-01-06 06:13:03,692 - mmseg - INFO - Iter [97500/160000] lr: 2.344e-05, eta: 4:24:21, time: 0.290, data_time: 0.083, memory: 9544, decode.loss_ce: 0.1404, decode.acc_seg: 94.6048, loss: 0.1404 2023-01-06 06:13:15,821 - mmseg - INFO - Iter [97550/160000] lr: 2.342e-05, eta: 4:24:08, time: 0.243, data_time: 0.028, memory: 9544, decode.loss_ce: 0.1572, decode.acc_seg: 93.8558, loss: 0.1572 2023-01-06 06:13:27,989 - mmseg - INFO - Iter [97600/160000] lr: 2.340e-05, eta: 4:23:55, time: 0.243, data_time: 0.052, memory: 9544, decode.loss_ce: 0.1586, decode.acc_seg: 93.6819, loss: 0.1586 2023-01-06 06:13:40,379 - mmseg - INFO - Iter [97650/160000] lr: 2.338e-05, eta: 4:23:42, time: 0.248, data_time: 0.027, memory: 9544, decode.loss_ce: 0.1527, decode.acc_seg: 94.0718, loss: 0.1527 2023-01-06 06:13:53,025 - mmseg - INFO - Iter [97700/160000] lr: 2.336e-05, eta: 4:23:29, time: 0.253, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1563, decode.acc_seg: 94.0295, loss: 0.1563 2023-01-06 06:14:05,421 - mmseg - INFO - Iter [97750/160000] lr: 2.334e-05, eta: 4:23:17, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1815, decode.acc_seg: 93.3251, loss: 0.1815 2023-01-06 06:14:17,878 - mmseg - INFO - Iter [97800/160000] lr: 2.333e-05, eta: 4:23:04, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1543, decode.acc_seg: 93.9261, loss: 0.1543 2023-01-06 06:14:32,664 - mmseg - INFO - Iter [97850/160000] lr: 2.331e-05, eta: 4:22:52, time: 0.296, data_time: 0.065, memory: 9544, decode.loss_ce: 0.1656, decode.acc_seg: 93.6632, loss: 0.1656 2023-01-06 06:14:45,042 - mmseg - INFO - Iter [97900/160000] lr: 2.329e-05, eta: 4:22:39, time: 0.248, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1463, decode.acc_seg: 94.1827, loss: 0.1463 2023-01-06 06:14:57,110 - mmseg - INFO - Iter [97950/160000] lr: 2.327e-05, eta: 4:22:26, time: 0.241, data_time: 0.029, memory: 9544, decode.loss_ce: 0.1448, decode.acc_seg: 94.5001, loss: 0.1448 2023-01-06 06:15:09,319 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 06:15:09,319 - mmseg - INFO - Iter [98000/160000] lr: 2.325e-05, eta: 4:22:13, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1569, decode.acc_seg: 93.7757, loss: 0.1569 2023-01-06 06:15:21,648 - mmseg - INFO - Iter [98050/160000] lr: 2.323e-05, eta: 4:22:00, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1537, decode.acc_seg: 93.9938, loss: 0.1537 2023-01-06 06:15:33,936 - mmseg - INFO - Iter [98100/160000] lr: 2.321e-05, eta: 4:21:48, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1592, decode.acc_seg: 93.7756, loss: 0.1592 2023-01-06 06:15:46,296 - mmseg - INFO - Iter [98150/160000] lr: 2.319e-05, eta: 4:21:35, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1547, decode.acc_seg: 94.1238, loss: 0.1547 2023-01-06 06:15:58,796 - mmseg - INFO - Iter [98200/160000] lr: 2.318e-05, eta: 4:21:22, time: 0.250, data_time: 0.020, memory: 9544, decode.loss_ce: 0.1499, decode.acc_seg: 94.1446, loss: 0.1499 2023-01-06 06:16:13,307 - mmseg - INFO - Iter [98250/160000] lr: 2.316e-05, eta: 4:21:10, time: 0.290, data_time: 0.063, memory: 9544, decode.loss_ce: 0.1498, decode.acc_seg: 94.0262, loss: 0.1498 2023-01-06 06:16:25,527 - mmseg - INFO - Iter [98300/160000] lr: 2.314e-05, eta: 4:20:57, time: 0.244, data_time: 0.036, memory: 9544, decode.loss_ce: 0.1589, decode.acc_seg: 93.7256, loss: 0.1589 2023-01-06 06:16:37,732 - mmseg - INFO - Iter [98350/160000] lr: 2.312e-05, eta: 4:20:44, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1422, decode.acc_seg: 94.2586, loss: 0.1422 2023-01-06 06:16:50,108 - mmseg - INFO - Iter [98400/160000] lr: 2.310e-05, eta: 4:20:31, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1464, decode.acc_seg: 94.1559, loss: 0.1464 2023-01-06 06:17:02,398 - mmseg - INFO - Iter [98450/160000] lr: 2.308e-05, eta: 4:20:18, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1507, decode.acc_seg: 93.9851, loss: 0.1507 2023-01-06 06:17:14,631 - mmseg - INFO - Iter [98500/160000] lr: 2.306e-05, eta: 4:20:06, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1550, decode.acc_seg: 94.1045, loss: 0.1550 2023-01-06 06:17:26,858 - mmseg - INFO - Iter [98550/160000] lr: 2.304e-05, eta: 4:19:53, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1598, decode.acc_seg: 93.8088, loss: 0.1598 2023-01-06 06:17:41,384 - mmseg - INFO - Iter [98600/160000] lr: 2.303e-05, eta: 4:19:41, time: 0.290, data_time: 0.056, memory: 9544, decode.loss_ce: 0.1498, decode.acc_seg: 94.0336, loss: 0.1498 2023-01-06 06:17:53,722 - mmseg - INFO - Iter [98650/160000] lr: 2.301e-05, eta: 4:19:28, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1634, decode.acc_seg: 93.7680, loss: 0.1634 2023-01-06 06:18:06,078 - mmseg - INFO - Iter [98700/160000] lr: 2.299e-05, eta: 4:19:15, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1408, decode.acc_seg: 94.4859, loss: 0.1408 2023-01-06 06:18:18,173 - mmseg - INFO - Iter [98750/160000] lr: 2.297e-05, eta: 4:19:02, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1604, decode.acc_seg: 93.7522, loss: 0.1604 2023-01-06 06:18:30,600 - mmseg - INFO - Iter [98800/160000] lr: 2.295e-05, eta: 4:18:49, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1605, decode.acc_seg: 93.7137, loss: 0.1605 2023-01-06 06:18:42,858 - mmseg - INFO - Iter [98850/160000] lr: 2.293e-05, eta: 4:18:36, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1506, decode.acc_seg: 94.1976, loss: 0.1506 2023-01-06 06:18:55,286 - mmseg - INFO - Iter [98900/160000] lr: 2.291e-05, eta: 4:18:23, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1442, decode.acc_seg: 94.1532, loss: 0.1442 2023-01-06 06:19:07,567 - mmseg - INFO - Iter [98950/160000] lr: 2.289e-05, eta: 4:18:11, time: 0.246, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1523, decode.acc_seg: 94.0822, loss: 0.1523 2023-01-06 06:19:22,134 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 06:19:22,135 - mmseg - INFO - Iter [99000/160000] lr: 2.288e-05, eta: 4:17:59, time: 0.292, data_time: 0.057, memory: 9544, decode.loss_ce: 0.1486, decode.acc_seg: 94.1524, loss: 0.1486 2023-01-06 06:19:34,357 - mmseg - INFO - Iter [99050/160000] lr: 2.286e-05, eta: 4:17:46, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1509, decode.acc_seg: 94.0926, loss: 0.1509 2023-01-06 06:19:46,693 - mmseg - INFO - Iter [99100/160000] lr: 2.284e-05, eta: 4:17:33, time: 0.247, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1458, decode.acc_seg: 94.2443, loss: 0.1458 2023-01-06 06:19:58,949 - mmseg - INFO - Iter [99150/160000] lr: 2.282e-05, eta: 4:17:20, time: 0.245, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1406, decode.acc_seg: 94.5327, loss: 0.1406 2023-01-06 06:20:11,177 - mmseg - INFO - Iter [99200/160000] lr: 2.280e-05, eta: 4:17:07, time: 0.245, data_time: 0.034, memory: 9544, decode.loss_ce: 0.1432, decode.acc_seg: 94.2602, loss: 0.1432 2023-01-06 06:20:23,453 - mmseg - INFO - Iter [99250/160000] lr: 2.278e-05, eta: 4:16:54, time: 0.245, data_time: 0.016, memory: 9544, decode.loss_ce: 0.1569, decode.acc_seg: 93.8919, loss: 0.1569 2023-01-06 06:20:36,030 - mmseg - INFO - Iter [99300/160000] lr: 2.276e-05, eta: 4:16:42, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1504, decode.acc_seg: 94.1773, loss: 0.1504 2023-01-06 06:20:50,731 - mmseg - INFO - Iter [99350/160000] lr: 2.274e-05, eta: 4:16:30, time: 0.294, data_time: 0.054, memory: 9544, decode.loss_ce: 0.1522, decode.acc_seg: 94.1290, loss: 0.1522 2023-01-06 06:21:02,798 - mmseg - INFO - Iter [99400/160000] lr: 2.273e-05, eta: 4:16:17, time: 0.242, data_time: 0.032, memory: 9544, decode.loss_ce: 0.1414, decode.acc_seg: 94.3150, loss: 0.1414 2023-01-06 06:21:15,318 - mmseg - INFO - Iter [99450/160000] lr: 2.271e-05, eta: 4:16:04, time: 0.250, data_time: 0.035, memory: 9544, decode.loss_ce: 0.1545, decode.acc_seg: 94.2144, loss: 0.1545 2023-01-06 06:21:27,739 - mmseg - INFO - Iter [99500/160000] lr: 2.269e-05, eta: 4:15:51, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1690, decode.acc_seg: 93.4927, loss: 0.1690 2023-01-06 06:21:39,914 - mmseg - INFO - Iter [99550/160000] lr: 2.267e-05, eta: 4:15:38, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1415, decode.acc_seg: 94.4763, loss: 0.1415 2023-01-06 06:21:52,349 - mmseg - INFO - Iter [99600/160000] lr: 2.265e-05, eta: 4:15:26, time: 0.249, data_time: 0.021, memory: 9544, decode.loss_ce: 0.1530, decode.acc_seg: 93.8337, loss: 0.1530 2023-01-06 06:22:04,503 - mmseg - INFO - Iter [99650/160000] lr: 2.263e-05, eta: 4:15:13, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1516, decode.acc_seg: 94.0486, loss: 0.1516 2023-01-06 06:22:19,051 - mmseg - INFO - Iter [99700/160000] lr: 2.261e-05, eta: 4:15:01, time: 0.291, data_time: 0.073, memory: 9544, decode.loss_ce: 0.1344, decode.acc_seg: 94.5320, loss: 0.1344 2023-01-06 06:22:31,274 - mmseg - INFO - Iter [99750/160000] lr: 2.259e-05, eta: 4:14:48, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1598, decode.acc_seg: 93.8975, loss: 0.1598 2023-01-06 06:22:43,514 - mmseg - INFO - Iter [99800/160000] lr: 2.258e-05, eta: 4:14:35, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1544, decode.acc_seg: 93.9972, loss: 0.1544 2023-01-06 06:22:55,891 - mmseg - INFO - Iter [99850/160000] lr: 2.256e-05, eta: 4:14:22, time: 0.248, data_time: 0.015, memory: 9544, decode.loss_ce: 0.1438, decode.acc_seg: 94.3108, loss: 0.1438 2023-01-06 06:23:08,182 - mmseg - INFO - Iter [99900/160000] lr: 2.254e-05, eta: 4:14:09, time: 0.245, data_time: 0.068, memory: 9544, decode.loss_ce: 0.1569, decode.acc_seg: 93.8884, loss: 0.1569 2023-01-06 06:23:20,729 - mmseg - INFO - Iter [99950/160000] lr: 2.252e-05, eta: 4:13:56, time: 0.251, data_time: 0.061, memory: 9544, decode.loss_ce: 0.1516, decode.acc_seg: 94.1270, loss: 0.1516 2023-01-06 06:23:33,077 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 06:23:33,078 - mmseg - INFO - Iter [100000/160000] lr: 2.250e-05, eta: 4:13:44, time: 0.247, data_time: 0.017, memory: 9544, decode.loss_ce: 0.1406, decode.acc_seg: 94.4628, loss: 0.1406 2023-01-06 06:23:45,277 - mmseg - INFO - Iter [100050/160000] lr: 2.248e-05, eta: 4:13:31, time: 0.244, data_time: 0.037, memory: 9544, decode.loss_ce: 0.1604, decode.acc_seg: 93.7016, loss: 0.1604 2023-01-06 06:23:59,661 - mmseg - INFO - Iter [100100/160000] lr: 2.246e-05, eta: 4:13:19, time: 0.288, data_time: 0.055, memory: 9544, decode.loss_ce: 0.1538, decode.acc_seg: 94.0467, loss: 0.1538 2023-01-06 06:24:11,823 - mmseg - INFO - Iter [100150/160000] lr: 2.244e-05, eta: 4:13:06, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1627, decode.acc_seg: 93.9011, loss: 0.1627 2023-01-06 06:24:24,198 - mmseg - INFO - Iter [100200/160000] lr: 2.243e-05, eta: 4:12:53, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1522, decode.acc_seg: 94.1837, loss: 0.1522 2023-01-06 06:24:36,318 - mmseg - INFO - Iter [100250/160000] lr: 2.241e-05, eta: 4:12:40, time: 0.242, data_time: 0.014, memory: 9544, decode.loss_ce: 0.1592, decode.acc_seg: 93.8654, loss: 0.1592 2023-01-06 06:24:48,354 - mmseg - INFO - Iter [100300/160000] lr: 2.239e-05, eta: 4:12:27, time: 0.240, data_time: 0.018, memory: 9544, decode.loss_ce: 0.1495, decode.acc_seg: 94.0656, loss: 0.1495 2023-01-06 06:25:00,720 - mmseg - INFO - Iter [100350/160000] lr: 2.237e-05, eta: 4:12:14, time: 0.248, data_time: 0.025, memory: 9544, decode.loss_ce: 0.1547, decode.acc_seg: 93.8744, loss: 0.1547 2023-01-06 06:25:13,037 - mmseg - INFO - Iter [100400/160000] lr: 2.235e-05, eta: 4:12:01, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1476, decode.acc_seg: 94.1175, loss: 0.1476 2023-01-06 06:25:27,501 - mmseg - INFO - Iter [100450/160000] lr: 2.233e-05, eta: 4:11:50, time: 0.289, data_time: 0.062, memory: 9544, decode.loss_ce: 0.1709, decode.acc_seg: 93.4384, loss: 0.1709 2023-01-06 06:25:39,801 - mmseg - INFO - Iter [100500/160000] lr: 2.231e-05, eta: 4:11:37, time: 0.246, data_time: 0.022, memory: 9544, decode.loss_ce: 0.1479, decode.acc_seg: 94.1200, loss: 0.1479 2023-01-06 06:25:52,121 - mmseg - INFO - Iter [100550/160000] lr: 2.229e-05, eta: 4:11:24, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1482, decode.acc_seg: 94.2219, loss: 0.1482 2023-01-06 06:26:04,554 - mmseg - INFO - Iter [100600/160000] lr: 2.228e-05, eta: 4:11:11, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1577, decode.acc_seg: 93.7472, loss: 0.1577 2023-01-06 06:26:16,869 - mmseg - INFO - Iter [100650/160000] lr: 2.226e-05, eta: 4:10:58, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1420, decode.acc_seg: 94.3985, loss: 0.1420 2023-01-06 06:26:29,342 - mmseg - INFO - Iter [100700/160000] lr: 2.224e-05, eta: 4:10:45, time: 0.249, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1464, decode.acc_seg: 94.1895, loss: 0.1464 2023-01-06 06:26:41,850 - mmseg - INFO - Iter [100750/160000] lr: 2.222e-05, eta: 4:10:32, time: 0.250, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1536, decode.acc_seg: 94.0210, loss: 0.1536 2023-01-06 06:26:54,376 - mmseg - INFO - Iter [100800/160000] lr: 2.220e-05, eta: 4:10:20, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1423, decode.acc_seg: 94.2831, loss: 0.1423 2023-01-06 06:27:08,895 - mmseg - INFO - Iter [100850/160000] lr: 2.218e-05, eta: 4:10:08, time: 0.290, data_time: 0.059, memory: 9544, decode.loss_ce: 0.1656, decode.acc_seg: 93.7938, loss: 0.1656 2023-01-06 06:27:21,243 - mmseg - INFO - Iter [100900/160000] lr: 2.216e-05, eta: 4:09:55, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1448, decode.acc_seg: 94.2055, loss: 0.1448 2023-01-06 06:27:33,615 - mmseg - INFO - Iter [100950/160000] lr: 2.214e-05, eta: 4:09:42, time: 0.248, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1569, decode.acc_seg: 93.8541, loss: 0.1569 2023-01-06 06:27:45,892 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 06:27:45,893 - mmseg - INFO - Iter [101000/160000] lr: 2.213e-05, eta: 4:09:29, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1485, decode.acc_seg: 94.1514, loss: 0.1485 2023-01-06 06:27:58,316 - mmseg - INFO - Iter [101050/160000] lr: 2.211e-05, eta: 4:09:16, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1498, decode.acc_seg: 94.3285, loss: 0.1498 2023-01-06 06:28:10,706 - mmseg - INFO - Iter [101100/160000] lr: 2.209e-05, eta: 4:09:04, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1569, decode.acc_seg: 93.8167, loss: 0.1569 2023-01-06 06:28:22,913 - mmseg - INFO - Iter [101150/160000] lr: 2.207e-05, eta: 4:08:51, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1424, decode.acc_seg: 94.4072, loss: 0.1424 2023-01-06 06:28:37,358 - mmseg - INFO - Iter [101200/160000] lr: 2.205e-05, eta: 4:08:39, time: 0.289, data_time: 0.058, memory: 9544, decode.loss_ce: 0.1469, decode.acc_seg: 94.2284, loss: 0.1469 2023-01-06 06:28:49,878 - mmseg - INFO - Iter [101250/160000] lr: 2.203e-05, eta: 4:08:26, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1370, decode.acc_seg: 94.5677, loss: 0.1370 2023-01-06 06:29:02,449 - mmseg - INFO - Iter [101300/160000] lr: 2.201e-05, eta: 4:08:13, time: 0.252, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1497, decode.acc_seg: 94.3136, loss: 0.1497 2023-01-06 06:29:14,747 - mmseg - INFO - Iter [101350/160000] lr: 2.199e-05, eta: 4:08:01, time: 0.246, data_time: 0.032, memory: 9544, decode.loss_ce: 0.1537, decode.acc_seg: 94.0356, loss: 0.1537 2023-01-06 06:29:27,002 - mmseg - INFO - Iter [101400/160000] lr: 2.198e-05, eta: 4:07:48, time: 0.245, data_time: 0.028, memory: 9544, decode.loss_ce: 0.1464, decode.acc_seg: 94.2957, loss: 0.1464 2023-01-06 06:29:39,284 - mmseg - INFO - Iter [101450/160000] lr: 2.196e-05, eta: 4:07:35, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1511, decode.acc_seg: 94.0648, loss: 0.1511 2023-01-06 06:29:51,823 - mmseg - INFO - Iter [101500/160000] lr: 2.194e-05, eta: 4:07:22, time: 0.251, data_time: 0.036, memory: 9544, decode.loss_ce: 0.1485, decode.acc_seg: 94.2729, loss: 0.1485 2023-01-06 06:30:04,069 - mmseg - INFO - Iter [101550/160000] lr: 2.192e-05, eta: 4:07:09, time: 0.245, data_time: 0.059, memory: 9544, decode.loss_ce: 0.1710, decode.acc_seg: 93.4919, loss: 0.1710 2023-01-06 06:30:18,575 - mmseg - INFO - Iter [101600/160000] lr: 2.190e-05, eta: 4:06:57, time: 0.290, data_time: 0.075, memory: 9544, decode.loss_ce: 0.1577, decode.acc_seg: 93.8130, loss: 0.1577 2023-01-06 06:30:30,808 - mmseg - INFO - Iter [101650/160000] lr: 2.188e-05, eta: 4:06:44, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1484, decode.acc_seg: 94.2094, loss: 0.1484 2023-01-06 06:30:43,043 - mmseg - INFO - Iter [101700/160000] lr: 2.186e-05, eta: 4:06:31, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1536, decode.acc_seg: 94.0857, loss: 0.1536 2023-01-06 06:30:55,403 - mmseg - INFO - Iter [101750/160000] lr: 2.184e-05, eta: 4:06:19, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1485, decode.acc_seg: 93.9220, loss: 0.1485 2023-01-06 06:31:07,577 - mmseg - INFO - Iter [101800/160000] lr: 2.183e-05, eta: 4:06:06, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1574, decode.acc_seg: 93.9963, loss: 0.1574 2023-01-06 06:31:19,701 - mmseg - INFO - Iter [101850/160000] lr: 2.181e-05, eta: 4:05:53, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1521, decode.acc_seg: 94.0109, loss: 0.1521 2023-01-06 06:31:32,077 - mmseg - INFO - Iter [101900/160000] lr: 2.179e-05, eta: 4:05:40, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1532, decode.acc_seg: 93.9558, loss: 0.1532 2023-01-06 06:31:46,784 - mmseg - INFO - Iter [101950/160000] lr: 2.177e-05, eta: 4:05:28, time: 0.294, data_time: 0.055, memory: 9544, decode.loss_ce: 0.1401, decode.acc_seg: 94.4316, loss: 0.1401 2023-01-06 06:31:59,316 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 06:31:59,317 - mmseg - INFO - Iter [102000/160000] lr: 2.175e-05, eta: 4:05:15, time: 0.250, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1465, decode.acc_seg: 94.1193, loss: 0.1465 2023-01-06 06:32:11,485 - mmseg - INFO - Iter [102050/160000] lr: 2.173e-05, eta: 4:05:02, time: 0.243, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1455, decode.acc_seg: 94.3618, loss: 0.1455 2023-01-06 06:32:24,089 - mmseg - INFO - Iter [102100/160000] lr: 2.171e-05, eta: 4:04:50, time: 0.252, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1637, decode.acc_seg: 93.8155, loss: 0.1637 2023-01-06 06:32:36,292 - mmseg - INFO - Iter [102150/160000] lr: 2.169e-05, eta: 4:04:37, time: 0.244, data_time: 0.015, memory: 9544, decode.loss_ce: 0.1541, decode.acc_seg: 94.0555, loss: 0.1541 2023-01-06 06:32:48,930 - mmseg - INFO - Iter [102200/160000] lr: 2.168e-05, eta: 4:04:24, time: 0.252, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1485, decode.acc_seg: 94.0838, loss: 0.1485 2023-01-06 06:33:01,136 - mmseg - INFO - Iter [102250/160000] lr: 2.166e-05, eta: 4:04:11, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1556, decode.acc_seg: 93.8928, loss: 0.1556 2023-01-06 06:33:13,441 - mmseg - INFO - Iter [102300/160000] lr: 2.164e-05, eta: 4:03:58, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1568, decode.acc_seg: 93.8111, loss: 0.1568 2023-01-06 06:33:28,009 - mmseg - INFO - Iter [102350/160000] lr: 2.162e-05, eta: 4:03:47, time: 0.291, data_time: 0.100, memory: 9544, decode.loss_ce: 0.1512, decode.acc_seg: 94.2311, loss: 0.1512 2023-01-06 06:33:40,177 - mmseg - INFO - Iter [102400/160000] lr: 2.160e-05, eta: 4:03:34, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1514, decode.acc_seg: 94.0300, loss: 0.1514 2023-01-06 06:33:52,512 - mmseg - INFO - Iter [102450/160000] lr: 2.158e-05, eta: 4:03:21, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1533, decode.acc_seg: 94.0156, loss: 0.1533 2023-01-06 06:34:04,783 - mmseg - INFO - Iter [102500/160000] lr: 2.156e-05, eta: 4:03:08, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1550, decode.acc_seg: 94.0148, loss: 0.1550 2023-01-06 06:34:17,011 - mmseg - INFO - Iter [102550/160000] lr: 2.154e-05, eta: 4:02:55, time: 0.244, data_time: 0.014, memory: 9544, decode.loss_ce: 0.1445, decode.acc_seg: 94.3565, loss: 0.1445 2023-01-06 06:34:29,200 - mmseg - INFO - Iter [102600/160000] lr: 2.153e-05, eta: 4:02:42, time: 0.244, data_time: 0.031, memory: 9544, decode.loss_ce: 0.1429, decode.acc_seg: 94.4626, loss: 0.1429 2023-01-06 06:34:41,631 - mmseg - INFO - Iter [102650/160000] lr: 2.151e-05, eta: 4:02:29, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1513, decode.acc_seg: 94.2236, loss: 0.1513 2023-01-06 06:34:56,194 - mmseg - INFO - Iter [102700/160000] lr: 2.149e-05, eta: 4:02:17, time: 0.291, data_time: 0.072, memory: 9544, decode.loss_ce: 0.1542, decode.acc_seg: 94.0019, loss: 0.1542 2023-01-06 06:35:08,545 - mmseg - INFO - Iter [102750/160000] lr: 2.147e-05, eta: 4:02:04, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1468, decode.acc_seg: 94.1447, loss: 0.1468 2023-01-06 06:35:20,738 - mmseg - INFO - Iter [102800/160000] lr: 2.145e-05, eta: 4:01:52, time: 0.244, data_time: 0.018, memory: 9544, decode.loss_ce: 0.1473, decode.acc_seg: 94.2857, loss: 0.1473 2023-01-06 06:35:33,182 - mmseg - INFO - Iter [102850/160000] lr: 2.143e-05, eta: 4:01:39, time: 0.249, data_time: 0.034, memory: 9544, decode.loss_ce: 0.1432, decode.acc_seg: 94.4092, loss: 0.1432 2023-01-06 06:35:45,394 - mmseg - INFO - Iter [102900/160000] lr: 2.141e-05, eta: 4:01:26, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1442, decode.acc_seg: 94.3329, loss: 0.1442 2023-01-06 06:35:57,875 - mmseg - INFO - Iter [102950/160000] lr: 2.139e-05, eta: 4:01:13, time: 0.249, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1586, decode.acc_seg: 93.8544, loss: 0.1586 2023-01-06 06:36:10,096 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 06:36:10,097 - mmseg - INFO - Iter [103000/160000] lr: 2.138e-05, eta: 4:01:00, time: 0.244, data_time: 0.035, memory: 9544, decode.loss_ce: 0.1445, decode.acc_seg: 94.3055, loss: 0.1445 2023-01-06 06:36:24,558 - mmseg - INFO - Iter [103050/160000] lr: 2.136e-05, eta: 4:00:48, time: 0.289, data_time: 0.118, memory: 9544, decode.loss_ce: 0.1691, decode.acc_seg: 93.4509, loss: 0.1691 2023-01-06 06:36:37,148 - mmseg - INFO - Iter [103100/160000] lr: 2.134e-05, eta: 4:00:36, time: 0.252, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1411, decode.acc_seg: 94.4698, loss: 0.1411 2023-01-06 06:36:49,429 - mmseg - INFO - Iter [103150/160000] lr: 2.132e-05, eta: 4:00:23, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1487, decode.acc_seg: 94.1012, loss: 0.1487 2023-01-06 06:37:01,681 - mmseg - INFO - Iter [103200/160000] lr: 2.130e-05, eta: 4:00:10, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1447, decode.acc_seg: 94.3193, loss: 0.1447 2023-01-06 06:37:14,086 - mmseg - INFO - Iter [103250/160000] lr: 2.128e-05, eta: 3:59:57, time: 0.248, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1506, decode.acc_seg: 94.1840, loss: 0.1506 2023-01-06 06:37:26,429 - mmseg - INFO - Iter [103300/160000] lr: 2.126e-05, eta: 3:59:44, time: 0.247, data_time: 0.082, memory: 9544, decode.loss_ce: 0.1541, decode.acc_seg: 93.9968, loss: 0.1541 2023-01-06 06:37:38,802 - mmseg - INFO - Iter [103350/160000] lr: 2.124e-05, eta: 3:59:31, time: 0.247, data_time: 0.086, memory: 9544, decode.loss_ce: 0.1568, decode.acc_seg: 93.9876, loss: 0.1568 2023-01-06 06:37:51,044 - mmseg - INFO - Iter [103400/160000] lr: 2.123e-05, eta: 3:59:18, time: 0.245, data_time: 0.073, memory: 9544, decode.loss_ce: 0.1468, decode.acc_seg: 94.0120, loss: 0.1468 2023-01-06 06:38:05,406 - mmseg - INFO - Iter [103450/160000] lr: 2.121e-05, eta: 3:59:06, time: 0.288, data_time: 0.069, memory: 9544, decode.loss_ce: 0.1485, decode.acc_seg: 94.2322, loss: 0.1485 2023-01-06 06:38:17,801 - mmseg - INFO - Iter [103500/160000] lr: 2.119e-05, eta: 3:58:54, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1501, decode.acc_seg: 93.9915, loss: 0.1501 2023-01-06 06:38:30,185 - mmseg - INFO - Iter [103550/160000] lr: 2.117e-05, eta: 3:58:41, time: 0.248, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1403, decode.acc_seg: 94.2851, loss: 0.1403 2023-01-06 06:38:42,554 - mmseg - INFO - Iter [103600/160000] lr: 2.115e-05, eta: 3:58:28, time: 0.247, data_time: 0.022, memory: 9544, decode.loss_ce: 0.1489, decode.acc_seg: 94.2656, loss: 0.1489 2023-01-06 06:38:55,049 - mmseg - INFO - Iter [103650/160000] lr: 2.113e-05, eta: 3:58:15, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1527, decode.acc_seg: 94.0905, loss: 0.1527 2023-01-06 06:39:07,088 - mmseg - INFO - Iter [103700/160000] lr: 2.111e-05, eta: 3:58:02, time: 0.241, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1539, decode.acc_seg: 94.0104, loss: 0.1539 2023-01-06 06:39:19,709 - mmseg - INFO - Iter [103750/160000] lr: 2.109e-05, eta: 3:57:49, time: 0.253, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1613, decode.acc_seg: 93.9124, loss: 0.1613 2023-01-06 06:39:34,110 - mmseg - INFO - Iter [103800/160000] lr: 2.108e-05, eta: 3:57:38, time: 0.288, data_time: 0.064, memory: 9544, decode.loss_ce: 0.1457, decode.acc_seg: 94.2052, loss: 0.1457 2023-01-06 06:39:46,463 - mmseg - INFO - Iter [103850/160000] lr: 2.106e-05, eta: 3:57:25, time: 0.247, data_time: 0.014, memory: 9544, decode.loss_ce: 0.1494, decode.acc_seg: 94.1763, loss: 0.1494 2023-01-06 06:39:58,659 - mmseg - INFO - Iter [103900/160000] lr: 2.104e-05, eta: 3:57:12, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1511, decode.acc_seg: 94.0800, loss: 0.1511 2023-01-06 06:40:10,790 - mmseg - INFO - Iter [103950/160000] lr: 2.102e-05, eta: 3:56:59, time: 0.242, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1479, decode.acc_seg: 94.0370, loss: 0.1479 2023-01-06 06:40:23,133 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 06:40:23,135 - mmseg - INFO - Iter [104000/160000] lr: 2.100e-05, eta: 3:56:46, time: 0.247, data_time: 0.044, memory: 9544, decode.loss_ce: 0.1464, decode.acc_seg: 94.2702, loss: 0.1464 2023-01-06 06:40:35,392 - mmseg - INFO - Iter [104050/160000] lr: 2.098e-05, eta: 3:56:33, time: 0.245, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1536, decode.acc_seg: 93.9064, loss: 0.1536 2023-01-06 06:40:47,851 - mmseg - INFO - Iter [104100/160000] lr: 2.096e-05, eta: 3:56:20, time: 0.250, data_time: 0.059, memory: 9544, decode.loss_ce: 0.1477, decode.acc_seg: 94.2285, loss: 0.1477 2023-01-06 06:40:59,848 - mmseg - INFO - Iter [104150/160000] lr: 2.094e-05, eta: 3:56:07, time: 0.240, data_time: 0.027, memory: 9544, decode.loss_ce: 0.1488, decode.acc_seg: 94.2172, loss: 0.1488 2023-01-06 06:41:14,445 - mmseg - INFO - Iter [104200/160000] lr: 2.093e-05, eta: 3:55:56, time: 0.292, data_time: 0.071, memory: 9544, decode.loss_ce: 0.1429, decode.acc_seg: 94.3523, loss: 0.1429 2023-01-06 06:41:26,724 - mmseg - INFO - Iter [104250/160000] lr: 2.091e-05, eta: 3:55:43, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1458, decode.acc_seg: 94.3454, loss: 0.1458 2023-01-06 06:41:39,133 - mmseg - INFO - Iter [104300/160000] lr: 2.089e-05, eta: 3:55:30, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1530, decode.acc_seg: 93.9977, loss: 0.1530 2023-01-06 06:41:51,383 - mmseg - INFO - Iter [104350/160000] lr: 2.087e-05, eta: 3:55:17, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1467, decode.acc_seg: 94.1301, loss: 0.1467 2023-01-06 06:42:03,429 - mmseg - INFO - Iter [104400/160000] lr: 2.085e-05, eta: 3:55:04, time: 0.241, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1462, decode.acc_seg: 94.2319, loss: 0.1462 2023-01-06 06:42:15,690 - mmseg - INFO - Iter [104450/160000] lr: 2.083e-05, eta: 3:54:51, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1517, decode.acc_seg: 94.0648, loss: 0.1517 2023-01-06 06:42:28,155 - mmseg - INFO - Iter [104500/160000] lr: 2.081e-05, eta: 3:54:38, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1548, decode.acc_seg: 93.9408, loss: 0.1548 2023-01-06 06:42:43,053 - mmseg - INFO - Iter [104550/160000] lr: 2.079e-05, eta: 3:54:27, time: 0.298, data_time: 0.098, memory: 9544, decode.loss_ce: 0.1425, decode.acc_seg: 94.4328, loss: 0.1425 2023-01-06 06:42:55,177 - mmseg - INFO - Iter [104600/160000] lr: 2.078e-05, eta: 3:54:14, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1504, decode.acc_seg: 93.9128, loss: 0.1504 2023-01-06 06:43:07,469 - mmseg - INFO - Iter [104650/160000] lr: 2.076e-05, eta: 3:54:01, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1540, decode.acc_seg: 93.8812, loss: 0.1540 2023-01-06 06:43:20,038 - mmseg - INFO - Iter [104700/160000] lr: 2.074e-05, eta: 3:53:48, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1435, decode.acc_seg: 94.1829, loss: 0.1435 2023-01-06 06:43:32,244 - mmseg - INFO - Iter [104750/160000] lr: 2.072e-05, eta: 3:53:35, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1415, decode.acc_seg: 94.4460, loss: 0.1415 2023-01-06 06:43:44,486 - mmseg - INFO - Iter [104800/160000] lr: 2.070e-05, eta: 3:53:22, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1550, decode.acc_seg: 93.9110, loss: 0.1550 2023-01-06 06:43:56,971 - mmseg - INFO - Iter [104850/160000] lr: 2.068e-05, eta: 3:53:09, time: 0.250, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1436, decode.acc_seg: 94.3379, loss: 0.1436 2023-01-06 06:44:09,128 - mmseg - INFO - Iter [104900/160000] lr: 2.066e-05, eta: 3:52:56, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1563, decode.acc_seg: 94.0479, loss: 0.1563 2023-01-06 06:44:23,693 - mmseg - INFO - Iter [104950/160000] lr: 2.064e-05, eta: 3:52:45, time: 0.291, data_time: 0.059, memory: 9544, decode.loss_ce: 0.1539, decode.acc_seg: 94.0119, loss: 0.1539 2023-01-06 06:44:36,070 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 06:44:36,071 - mmseg - INFO - Iter [105000/160000] lr: 2.063e-05, eta: 3:52:32, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1419, decode.acc_seg: 94.4167, loss: 0.1419 2023-01-06 06:44:48,379 - mmseg - INFO - Iter [105050/160000] lr: 2.061e-05, eta: 3:52:19, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1475, decode.acc_seg: 94.2394, loss: 0.1475 2023-01-06 06:45:00,533 - mmseg - INFO - Iter [105100/160000] lr: 2.059e-05, eta: 3:52:06, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1562, decode.acc_seg: 93.9408, loss: 0.1562 2023-01-06 06:45:12,789 - mmseg - INFO - Iter [105150/160000] lr: 2.057e-05, eta: 3:51:53, time: 0.245, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1539, decode.acc_seg: 94.0786, loss: 0.1539 2023-01-06 06:45:24,971 - mmseg - INFO - Iter [105200/160000] lr: 2.055e-05, eta: 3:51:40, time: 0.243, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1363, decode.acc_seg: 94.6804, loss: 0.1363 2023-01-06 06:45:37,298 - mmseg - INFO - Iter [105250/160000] lr: 2.053e-05, eta: 3:51:27, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1491, decode.acc_seg: 94.1199, loss: 0.1491 2023-01-06 06:45:51,857 - mmseg - INFO - Iter [105300/160000] lr: 2.051e-05, eta: 3:51:16, time: 0.291, data_time: 0.080, memory: 9544, decode.loss_ce: 0.1658, decode.acc_seg: 93.7152, loss: 0.1658 2023-01-06 06:46:04,297 - mmseg - INFO - Iter [105350/160000] lr: 2.049e-05, eta: 3:51:03, time: 0.249, data_time: 0.065, memory: 9544, decode.loss_ce: 0.1502, decode.acc_seg: 94.3067, loss: 0.1502 2023-01-06 06:46:16,623 - mmseg - INFO - Iter [105400/160000] lr: 2.048e-05, eta: 3:50:50, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1589, decode.acc_seg: 93.7910, loss: 0.1589 2023-01-06 06:46:28,892 - mmseg - INFO - Iter [105450/160000] lr: 2.046e-05, eta: 3:50:37, time: 0.245, data_time: 0.031, memory: 9544, decode.loss_ce: 0.1502, decode.acc_seg: 93.9773, loss: 0.1502 2023-01-06 06:46:41,215 - mmseg - INFO - Iter [105500/160000] lr: 2.044e-05, eta: 3:50:24, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1433, decode.acc_seg: 94.3865, loss: 0.1433 2023-01-06 06:46:53,369 - mmseg - INFO - Iter [105550/160000] lr: 2.042e-05, eta: 3:50:11, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1484, decode.acc_seg: 94.1947, loss: 0.1484 2023-01-06 06:47:05,913 - mmseg - INFO - Iter [105600/160000] lr: 2.040e-05, eta: 3:49:58, time: 0.251, data_time: 0.015, memory: 9544, decode.loss_ce: 0.1382, decode.acc_seg: 94.4126, loss: 0.1382 2023-01-06 06:47:20,268 - mmseg - INFO - Iter [105650/160000] lr: 2.038e-05, eta: 3:49:47, time: 0.287, data_time: 0.057, memory: 9544, decode.loss_ce: 0.1485, decode.acc_seg: 94.0210, loss: 0.1485 2023-01-06 06:47:32,676 - mmseg - INFO - Iter [105700/160000] lr: 2.036e-05, eta: 3:49:34, time: 0.248, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1718, decode.acc_seg: 93.6671, loss: 0.1718 2023-01-06 06:47:44,860 - mmseg - INFO - Iter [105750/160000] lr: 2.034e-05, eta: 3:49:21, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1474, decode.acc_seg: 94.0479, loss: 0.1474 2023-01-06 06:47:57,229 - mmseg - INFO - Iter [105800/160000] lr: 2.033e-05, eta: 3:49:08, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1446, decode.acc_seg: 94.3139, loss: 0.1446 2023-01-06 06:48:09,341 - mmseg - INFO - Iter [105850/160000] lr: 2.031e-05, eta: 3:48:55, time: 0.242, data_time: 0.025, memory: 9544, decode.loss_ce: 0.1463, decode.acc_seg: 94.3230, loss: 0.1463 2023-01-06 06:48:21,447 - mmseg - INFO - Iter [105900/160000] lr: 2.029e-05, eta: 3:48:42, time: 0.242, data_time: 0.016, memory: 9544, decode.loss_ce: 0.1480, decode.acc_seg: 94.2384, loss: 0.1480 2023-01-06 06:48:33,718 - mmseg - INFO - Iter [105950/160000] lr: 2.027e-05, eta: 3:48:29, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1458, decode.acc_seg: 94.1844, loss: 0.1458 2023-01-06 06:48:45,902 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 06:48:45,903 - mmseg - INFO - Iter [106000/160000] lr: 2.025e-05, eta: 3:48:16, time: 0.244, data_time: 0.014, memory: 9544, decode.loss_ce: 0.1477, decode.acc_seg: 94.2148, loss: 0.1477 2023-01-06 06:49:00,590 - mmseg - INFO - Iter [106050/160000] lr: 2.023e-05, eta: 3:48:05, time: 0.293, data_time: 0.054, memory: 9544, decode.loss_ce: 0.1309, decode.acc_seg: 94.7535, loss: 0.1309 2023-01-06 06:49:12,998 - mmseg - INFO - Iter [106100/160000] lr: 2.021e-05, eta: 3:47:52, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1544, decode.acc_seg: 93.8378, loss: 0.1544 2023-01-06 06:49:25,491 - mmseg - INFO - Iter [106150/160000] lr: 2.019e-05, eta: 3:47:39, time: 0.250, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1418, decode.acc_seg: 94.3642, loss: 0.1418 2023-01-06 06:49:37,757 - mmseg - INFO - Iter [106200/160000] lr: 2.018e-05, eta: 3:47:26, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1351, decode.acc_seg: 94.6500, loss: 0.1351 2023-01-06 06:49:50,044 - mmseg - INFO - Iter [106250/160000] lr: 2.016e-05, eta: 3:47:13, time: 0.246, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1527, decode.acc_seg: 94.0377, loss: 0.1527 2023-01-06 06:50:02,173 - mmseg - INFO - Iter [106300/160000] lr: 2.014e-05, eta: 3:47:00, time: 0.243, data_time: 0.027, memory: 9544, decode.loss_ce: 0.1485, decode.acc_seg: 94.2048, loss: 0.1485 2023-01-06 06:50:14,388 - mmseg - INFO - Iter [106350/160000] lr: 2.012e-05, eta: 3:46:47, time: 0.244, data_time: 0.060, memory: 9544, decode.loss_ce: 0.1514, decode.acc_seg: 94.0569, loss: 0.1514 2023-01-06 06:50:28,644 - mmseg - INFO - Iter [106400/160000] lr: 2.010e-05, eta: 3:46:35, time: 0.285, data_time: 0.056, memory: 9544, decode.loss_ce: 0.1383, decode.acc_seg: 94.3328, loss: 0.1383 2023-01-06 06:50:41,115 - mmseg - INFO - Iter [106450/160000] lr: 2.008e-05, eta: 3:46:23, time: 0.249, data_time: 0.053, memory: 9544, decode.loss_ce: 0.1620, decode.acc_seg: 93.7554, loss: 0.1620 2023-01-06 06:50:53,461 - mmseg - INFO - Iter [106500/160000] lr: 2.006e-05, eta: 3:46:10, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1448, decode.acc_seg: 94.4162, loss: 0.1448 2023-01-06 06:51:05,813 - mmseg - INFO - Iter [106550/160000] lr: 2.004e-05, eta: 3:45:57, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1530, decode.acc_seg: 94.0709, loss: 0.1530 2023-01-06 06:51:17,976 - mmseg - INFO - Iter [106600/160000] lr: 2.003e-05, eta: 3:45:44, time: 0.243, data_time: 0.052, memory: 9544, decode.loss_ce: 0.1449, decode.acc_seg: 94.1435, loss: 0.1449 2023-01-06 06:51:30,216 - mmseg - INFO - Iter [106650/160000] lr: 2.001e-05, eta: 3:45:31, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1536, decode.acc_seg: 93.9876, loss: 0.1536 2023-01-06 06:51:42,800 - mmseg - INFO - Iter [106700/160000] lr: 1.999e-05, eta: 3:45:18, time: 0.252, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1793, decode.acc_seg: 93.0490, loss: 0.1793 2023-01-06 06:51:55,253 - mmseg - INFO - Iter [106750/160000] lr: 1.997e-05, eta: 3:45:06, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1521, decode.acc_seg: 94.0234, loss: 0.1521 2023-01-06 06:52:09,922 - mmseg - INFO - Iter [106800/160000] lr: 1.995e-05, eta: 3:44:54, time: 0.293, data_time: 0.057, memory: 9544, decode.loss_ce: 0.1460, decode.acc_seg: 94.2501, loss: 0.1460 2023-01-06 06:52:22,255 - mmseg - INFO - Iter [106850/160000] lr: 1.993e-05, eta: 3:44:41, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1403, decode.acc_seg: 94.4502, loss: 0.1403 2023-01-06 06:52:34,766 - mmseg - INFO - Iter [106900/160000] lr: 1.991e-05, eta: 3:44:28, time: 0.250, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1421, decode.acc_seg: 94.3297, loss: 0.1421 2023-01-06 06:52:47,098 - mmseg - INFO - Iter [106950/160000] lr: 1.989e-05, eta: 3:44:15, time: 0.246, data_time: 0.022, memory: 9544, decode.loss_ce: 0.1392, decode.acc_seg: 94.4372, loss: 0.1392 2023-01-06 06:52:59,429 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 06:52:59,430 - mmseg - INFO - Iter [107000/160000] lr: 1.988e-05, eta: 3:44:03, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1449, decode.acc_seg: 94.2891, loss: 0.1449 2023-01-06 06:53:11,680 - mmseg - INFO - Iter [107050/160000] lr: 1.986e-05, eta: 3:43:50, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1487, decode.acc_seg: 94.3129, loss: 0.1487 2023-01-06 06:53:23,734 - mmseg - INFO - Iter [107100/160000] lr: 1.984e-05, eta: 3:43:37, time: 0.241, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1397, decode.acc_seg: 94.5165, loss: 0.1397 2023-01-06 06:53:38,330 - mmseg - INFO - Iter [107150/160000] lr: 1.982e-05, eta: 3:43:25, time: 0.292, data_time: 0.056, memory: 9544, decode.loss_ce: 0.1416, decode.acc_seg: 94.3428, loss: 0.1416 2023-01-06 06:53:50,538 - mmseg - INFO - Iter [107200/160000] lr: 1.980e-05, eta: 3:43:12, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1402, decode.acc_seg: 94.4558, loss: 0.1402 2023-01-06 06:54:02,805 - mmseg - INFO - Iter [107250/160000] lr: 1.978e-05, eta: 3:42:59, time: 0.246, data_time: 0.019, memory: 9544, decode.loss_ce: 0.1450, decode.acc_seg: 94.2970, loss: 0.1450 2023-01-06 06:54:15,235 - mmseg - INFO - Iter [107300/160000] lr: 1.976e-05, eta: 3:42:46, time: 0.249, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1464, decode.acc_seg: 94.1910, loss: 0.1464 2023-01-06 06:54:27,524 - mmseg - INFO - Iter [107350/160000] lr: 1.974e-05, eta: 3:42:33, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1428, decode.acc_seg: 94.4594, loss: 0.1428 2023-01-06 06:54:39,784 - mmseg - INFO - Iter [107400/160000] lr: 1.973e-05, eta: 3:42:21, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1468, decode.acc_seg: 94.2025, loss: 0.1468 2023-01-06 06:54:51,927 - mmseg - INFO - Iter [107450/160000] lr: 1.971e-05, eta: 3:42:08, time: 0.243, data_time: 0.016, memory: 9544, decode.loss_ce: 0.1412, decode.acc_seg: 94.3936, loss: 0.1412 2023-01-06 06:55:04,597 - mmseg - INFO - Iter [107500/160000] lr: 1.969e-05, eta: 3:41:55, time: 0.254, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1523, decode.acc_seg: 93.9862, loss: 0.1523 2023-01-06 06:55:19,282 - mmseg - INFO - Iter [107550/160000] lr: 1.967e-05, eta: 3:41:43, time: 0.294, data_time: 0.055, memory: 9544, decode.loss_ce: 0.1429, decode.acc_seg: 94.4480, loss: 0.1429 2023-01-06 06:55:31,355 - mmseg - INFO - Iter [107600/160000] lr: 1.965e-05, eta: 3:41:30, time: 0.241, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1478, decode.acc_seg: 94.1487, loss: 0.1478 2023-01-06 06:55:43,632 - mmseg - INFO - Iter [107650/160000] lr: 1.963e-05, eta: 3:41:17, time: 0.246, data_time: 0.078, memory: 9544, decode.loss_ce: 0.1343, decode.acc_seg: 94.5530, loss: 0.1343 2023-01-06 06:55:55,889 - mmseg - INFO - Iter [107700/160000] lr: 1.961e-05, eta: 3:41:04, time: 0.245, data_time: 0.053, memory: 9544, decode.loss_ce: 0.1538, decode.acc_seg: 94.0233, loss: 0.1538 2023-01-06 06:56:08,115 - mmseg - INFO - Iter [107750/160000] lr: 1.959e-05, eta: 3:40:52, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1536, decode.acc_seg: 94.0317, loss: 0.1536 2023-01-06 06:56:20,365 - mmseg - INFO - Iter [107800/160000] lr: 1.958e-05, eta: 3:40:39, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1469, decode.acc_seg: 94.2898, loss: 0.1469 2023-01-06 06:56:32,742 - mmseg - INFO - Iter [107850/160000] lr: 1.956e-05, eta: 3:40:26, time: 0.247, data_time: 0.020, memory: 9544, decode.loss_ce: 0.1546, decode.acc_seg: 94.0130, loss: 0.1546 2023-01-06 06:56:47,357 - mmseg - INFO - Iter [107900/160000] lr: 1.954e-05, eta: 3:40:14, time: 0.292, data_time: 0.084, memory: 9544, decode.loss_ce: 0.1676, decode.acc_seg: 93.4293, loss: 0.1676 2023-01-06 06:56:59,499 - mmseg - INFO - Iter [107950/160000] lr: 1.952e-05, eta: 3:40:01, time: 0.243, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1460, decode.acc_seg: 94.2902, loss: 0.1460 2023-01-06 06:57:11,969 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 06:57:11,970 - mmseg - INFO - Iter [108000/160000] lr: 1.950e-05, eta: 3:39:48, time: 0.249, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1493, decode.acc_seg: 94.0665, loss: 0.1493 2023-01-06 06:57:24,529 - mmseg - INFO - Iter [108050/160000] lr: 1.948e-05, eta: 3:39:36, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1388, decode.acc_seg: 94.4461, loss: 0.1388 2023-01-06 06:57:36,872 - mmseg - INFO - Iter [108100/160000] lr: 1.946e-05, eta: 3:39:23, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1517, decode.acc_seg: 94.1530, loss: 0.1517 2023-01-06 06:57:49,047 - mmseg - INFO - Iter [108150/160000] lr: 1.944e-05, eta: 3:39:10, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1403, decode.acc_seg: 94.4116, loss: 0.1403 2023-01-06 06:58:01,179 - mmseg - INFO - Iter [108200/160000] lr: 1.943e-05, eta: 3:38:57, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1379, decode.acc_seg: 94.5462, loss: 0.1379 2023-01-06 06:58:13,400 - mmseg - INFO - Iter [108250/160000] lr: 1.941e-05, eta: 3:38:44, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1436, decode.acc_seg: 94.3624, loss: 0.1436 2023-01-06 06:58:27,793 - mmseg - INFO - Iter [108300/160000] lr: 1.939e-05, eta: 3:38:32, time: 0.288, data_time: 0.058, memory: 9544, decode.loss_ce: 0.1447, decode.acc_seg: 94.3587, loss: 0.1447 2023-01-06 06:58:40,132 - mmseg - INFO - Iter [108350/160000] lr: 1.937e-05, eta: 3:38:19, time: 0.247, data_time: 0.041, memory: 9544, decode.loss_ce: 0.1360, decode.acc_seg: 94.5340, loss: 0.1360 2023-01-06 06:58:52,359 - mmseg - INFO - Iter [108400/160000] lr: 1.935e-05, eta: 3:38:06, time: 0.244, data_time: 0.082, memory: 9544, decode.loss_ce: 0.1454, decode.acc_seg: 94.2215, loss: 0.1454 2023-01-06 06:59:04,504 - mmseg - INFO - Iter [108450/160000] lr: 1.933e-05, eta: 3:37:53, time: 0.243, data_time: 0.023, memory: 9544, decode.loss_ce: 0.1397, decode.acc_seg: 94.2582, loss: 0.1397 2023-01-06 06:59:16,906 - mmseg - INFO - Iter [108500/160000] lr: 1.931e-05, eta: 3:37:41, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1323, decode.acc_seg: 94.6890, loss: 0.1323 2023-01-06 06:59:29,270 - mmseg - INFO - Iter [108550/160000] lr: 1.929e-05, eta: 3:37:28, time: 0.247, data_time: 0.020, memory: 9544, decode.loss_ce: 0.1427, decode.acc_seg: 94.3873, loss: 0.1427 2023-01-06 06:59:41,632 - mmseg - INFO - Iter [108600/160000] lr: 1.928e-05, eta: 3:37:15, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1447, decode.acc_seg: 94.2285, loss: 0.1447 2023-01-06 06:59:56,268 - mmseg - INFO - Iter [108650/160000] lr: 1.926e-05, eta: 3:37:03, time: 0.293, data_time: 0.078, memory: 9544, decode.loss_ce: 0.1405, decode.acc_seg: 94.4737, loss: 0.1405 2023-01-06 07:00:08,403 - mmseg - INFO - Iter [108700/160000] lr: 1.924e-05, eta: 3:36:50, time: 0.243, data_time: 0.016, memory: 9544, decode.loss_ce: 0.1525, decode.acc_seg: 94.1485, loss: 0.1525 2023-01-06 07:00:20,839 - mmseg - INFO - Iter [108750/160000] lr: 1.922e-05, eta: 3:36:37, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1428, decode.acc_seg: 94.3817, loss: 0.1428 2023-01-06 07:00:33,119 - mmseg - INFO - Iter [108800/160000] lr: 1.920e-05, eta: 3:36:25, time: 0.246, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1420, decode.acc_seg: 94.4585, loss: 0.1420 2023-01-06 07:00:45,267 - mmseg - INFO - Iter [108850/160000] lr: 1.918e-05, eta: 3:36:12, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1355, decode.acc_seg: 94.6256, loss: 0.1355 2023-01-06 07:00:57,484 - mmseg - INFO - Iter [108900/160000] lr: 1.916e-05, eta: 3:35:59, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1469, decode.acc_seg: 93.9828, loss: 0.1469 2023-01-06 07:01:09,750 - mmseg - INFO - Iter [108950/160000] lr: 1.914e-05, eta: 3:35:46, time: 0.245, data_time: 0.019, memory: 9544, decode.loss_ce: 0.1432, decode.acc_seg: 94.4087, loss: 0.1432 2023-01-06 07:01:24,443 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 07:01:24,445 - mmseg - INFO - Iter [109000/160000] lr: 1.913e-05, eta: 3:35:34, time: 0.294, data_time: 0.059, memory: 9544, decode.loss_ce: 0.1396, decode.acc_seg: 94.5033, loss: 0.1396 2023-01-06 07:01:37,008 - mmseg - INFO - Iter [109050/160000] lr: 1.911e-05, eta: 3:35:21, time: 0.251, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1471, decode.acc_seg: 94.3154, loss: 0.1471 2023-01-06 07:01:49,263 - mmseg - INFO - Iter [109100/160000] lr: 1.909e-05, eta: 3:35:09, time: 0.245, data_time: 0.055, memory: 9544, decode.loss_ce: 0.1403, decode.acc_seg: 94.3818, loss: 0.1403 2023-01-06 07:02:01,856 - mmseg - INFO - Iter [109150/160000] lr: 1.907e-05, eta: 3:34:56, time: 0.252, data_time: 0.089, memory: 9544, decode.loss_ce: 0.1444, decode.acc_seg: 94.4005, loss: 0.1444 2023-01-06 07:02:14,070 - mmseg - INFO - Iter [109200/160000] lr: 1.905e-05, eta: 3:34:43, time: 0.244, data_time: 0.050, memory: 9544, decode.loss_ce: 0.1457, decode.acc_seg: 94.3337, loss: 0.1457 2023-01-06 07:02:26,287 - mmseg - INFO - Iter [109250/160000] lr: 1.903e-05, eta: 3:34:30, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1402, decode.acc_seg: 94.4625, loss: 0.1402 2023-01-06 07:02:38,803 - mmseg - INFO - Iter [109300/160000] lr: 1.901e-05, eta: 3:34:17, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1481, decode.acc_seg: 94.2611, loss: 0.1481 2023-01-06 07:02:51,185 - mmseg - INFO - Iter [109350/160000] lr: 1.899e-05, eta: 3:34:04, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1582, decode.acc_seg: 93.7032, loss: 0.1582 2023-01-06 07:03:05,583 - mmseg - INFO - Iter [109400/160000] lr: 1.898e-05, eta: 3:33:53, time: 0.288, data_time: 0.059, memory: 9544, decode.loss_ce: 0.1365, decode.acc_seg: 94.6252, loss: 0.1365 2023-01-06 07:03:18,042 - mmseg - INFO - Iter [109450/160000] lr: 1.896e-05, eta: 3:33:40, time: 0.249, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1540, decode.acc_seg: 93.8570, loss: 0.1540 2023-01-06 07:03:30,476 - mmseg - INFO - Iter [109500/160000] lr: 1.894e-05, eta: 3:33:27, time: 0.249, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1537, decode.acc_seg: 94.0137, loss: 0.1537 2023-01-06 07:03:42,825 - mmseg - INFO - Iter [109550/160000] lr: 1.892e-05, eta: 3:33:14, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1597, decode.acc_seg: 93.9949, loss: 0.1597 2023-01-06 07:03:55,195 - mmseg - INFO - Iter [109600/160000] lr: 1.890e-05, eta: 3:33:01, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1472, decode.acc_seg: 94.3175, loss: 0.1472 2023-01-06 07:04:07,352 - mmseg - INFO - Iter [109650/160000] lr: 1.888e-05, eta: 3:32:48, time: 0.243, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1556, decode.acc_seg: 93.9951, loss: 0.1556 2023-01-06 07:04:19,634 - mmseg - INFO - Iter [109700/160000] lr: 1.886e-05, eta: 3:32:36, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1419, decode.acc_seg: 94.3823, loss: 0.1419 2023-01-06 07:04:33,973 - mmseg - INFO - Iter [109750/160000] lr: 1.884e-05, eta: 3:32:24, time: 0.287, data_time: 0.054, memory: 9544, decode.loss_ce: 0.1541, decode.acc_seg: 93.8846, loss: 0.1541 2023-01-06 07:04:46,265 - mmseg - INFO - Iter [109800/160000] lr: 1.883e-05, eta: 3:32:11, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1423, decode.acc_seg: 94.3917, loss: 0.1423 2023-01-06 07:04:58,823 - mmseg - INFO - Iter [109850/160000] lr: 1.881e-05, eta: 3:31:58, time: 0.251, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1434, decode.acc_seg: 94.1957, loss: 0.1434 2023-01-06 07:05:11,352 - mmseg - INFO - Iter [109900/160000] lr: 1.879e-05, eta: 3:31:45, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1311, decode.acc_seg: 94.7673, loss: 0.1311 2023-01-06 07:05:23,634 - mmseg - INFO - Iter [109950/160000] lr: 1.877e-05, eta: 3:31:32, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1342, decode.acc_seg: 94.6447, loss: 0.1342 2023-01-06 07:05:36,064 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 07:05:36,066 - mmseg - INFO - Iter [110000/160000] lr: 1.875e-05, eta: 3:31:20, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1410, decode.acc_seg: 94.1411, loss: 0.1410 2023-01-06 07:05:48,117 - mmseg - INFO - Iter [110050/160000] lr: 1.873e-05, eta: 3:31:07, time: 0.241, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1356, decode.acc_seg: 94.5743, loss: 0.1356 2023-01-06 07:06:00,415 - mmseg - INFO - Iter [110100/160000] lr: 1.871e-05, eta: 3:30:54, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1434, decode.acc_seg: 94.3612, loss: 0.1434 2023-01-06 07:06:15,098 - mmseg - INFO - Iter [110150/160000] lr: 1.869e-05, eta: 3:30:42, time: 0.294, data_time: 0.054, memory: 9544, decode.loss_ce: 0.1379, decode.acc_seg: 94.5247, loss: 0.1379 2023-01-06 07:06:27,407 - mmseg - INFO - Iter [110200/160000] lr: 1.868e-05, eta: 3:30:29, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1374, decode.acc_seg: 94.4993, loss: 0.1374 2023-01-06 07:06:39,956 - mmseg - INFO - Iter [110250/160000] lr: 1.866e-05, eta: 3:30:16, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1473, decode.acc_seg: 94.3110, loss: 0.1473 2023-01-06 07:06:51,964 - mmseg - INFO - Iter [110300/160000] lr: 1.864e-05, eta: 3:30:03, time: 0.240, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1393, decode.acc_seg: 94.3764, loss: 0.1393 2023-01-06 07:07:04,459 - mmseg - INFO - Iter [110350/160000] lr: 1.862e-05, eta: 3:29:51, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1516, decode.acc_seg: 94.2291, loss: 0.1516 2023-01-06 07:07:17,034 - mmseg - INFO - Iter [110400/160000] lr: 1.860e-05, eta: 3:29:38, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1459, decode.acc_seg: 94.2956, loss: 0.1459 2023-01-06 07:07:29,291 - mmseg - INFO - Iter [110450/160000] lr: 1.858e-05, eta: 3:29:25, time: 0.245, data_time: 0.026, memory: 9544, decode.loss_ce: 0.1428, decode.acc_seg: 94.4316, loss: 0.1428 2023-01-06 07:07:43,749 - mmseg - INFO - Iter [110500/160000] lr: 1.856e-05, eta: 3:29:13, time: 0.289, data_time: 0.082, memory: 9544, decode.loss_ce: 0.1442, decode.acc_seg: 94.4812, loss: 0.1442 2023-01-06 07:07:55,983 - mmseg - INFO - Iter [110550/160000] lr: 1.854e-05, eta: 3:29:00, time: 0.245, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1303, decode.acc_seg: 94.5317, loss: 0.1303 2023-01-06 07:08:08,307 - mmseg - INFO - Iter [110600/160000] lr: 1.853e-05, eta: 3:28:48, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1384, decode.acc_seg: 94.4760, loss: 0.1384 2023-01-06 07:08:20,627 - mmseg - INFO - Iter [110650/160000] lr: 1.851e-05, eta: 3:28:35, time: 0.246, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1368, decode.acc_seg: 94.6732, loss: 0.1368 2023-01-06 07:08:32,742 - mmseg - INFO - Iter [110700/160000] lr: 1.849e-05, eta: 3:28:22, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1477, decode.acc_seg: 94.2151, loss: 0.1477 2023-01-06 07:08:45,062 - mmseg - INFO - Iter [110750/160000] lr: 1.847e-05, eta: 3:28:09, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1424, decode.acc_seg: 94.3589, loss: 0.1424 2023-01-06 07:08:57,653 - mmseg - INFO - Iter [110800/160000] lr: 1.845e-05, eta: 3:27:56, time: 0.252, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1571, decode.acc_seg: 93.7580, loss: 0.1571 2023-01-06 07:09:10,233 - mmseg - INFO - Iter [110850/160000] lr: 1.843e-05, eta: 3:27:43, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1396, decode.acc_seg: 94.4694, loss: 0.1396 2023-01-06 07:09:24,731 - mmseg - INFO - Iter [110900/160000] lr: 1.841e-05, eta: 3:27:32, time: 0.290, data_time: 0.056, memory: 9544, decode.loss_ce: 0.1535, decode.acc_seg: 94.2159, loss: 0.1535 2023-01-06 07:09:36,973 - mmseg - INFO - Iter [110950/160000] lr: 1.839e-05, eta: 3:27:19, time: 0.245, data_time: 0.024, memory: 9544, decode.loss_ce: 0.1557, decode.acc_seg: 93.8997, loss: 0.1557 2023-01-06 07:09:49,360 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 07:09:49,361 - mmseg - INFO - Iter [111000/160000] lr: 1.838e-05, eta: 3:27:06, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1369, decode.acc_seg: 94.5391, loss: 0.1369 2023-01-06 07:10:01,769 - mmseg - INFO - Iter [111050/160000] lr: 1.836e-05, eta: 3:26:53, time: 0.248, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1549, decode.acc_seg: 93.8442, loss: 0.1549 2023-01-06 07:10:14,090 - mmseg - INFO - Iter [111100/160000] lr: 1.834e-05, eta: 3:26:40, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1431, decode.acc_seg: 94.3943, loss: 0.1431 2023-01-06 07:10:26,218 - mmseg - INFO - Iter [111150/160000] lr: 1.832e-05, eta: 3:26:27, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1470, decode.acc_seg: 94.3462, loss: 0.1470 2023-01-06 07:10:38,677 - mmseg - INFO - Iter [111200/160000] lr: 1.830e-05, eta: 3:26:15, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1475, decode.acc_seg: 94.1878, loss: 0.1475 2023-01-06 07:10:53,128 - mmseg - INFO - Iter [111250/160000] lr: 1.828e-05, eta: 3:26:03, time: 0.289, data_time: 0.067, memory: 9544, decode.loss_ce: 0.1556, decode.acc_seg: 94.0206, loss: 0.1556 2023-01-06 07:11:05,563 - mmseg - INFO - Iter [111300/160000] lr: 1.826e-05, eta: 3:25:50, time: 0.249, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1388, decode.acc_seg: 94.6082, loss: 0.1388 2023-01-06 07:11:18,070 - mmseg - INFO - Iter [111350/160000] lr: 1.824e-05, eta: 3:25:37, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1425, decode.acc_seg: 94.4255, loss: 0.1425 2023-01-06 07:11:30,373 - mmseg - INFO - Iter [111400/160000] lr: 1.823e-05, eta: 3:25:24, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1407, decode.acc_seg: 94.3704, loss: 0.1407 2023-01-06 07:11:43,387 - mmseg - INFO - Iter [111450/160000] lr: 1.821e-05, eta: 3:25:12, time: 0.260, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1542, decode.acc_seg: 94.1874, loss: 0.1542 2023-01-06 07:11:56,420 - mmseg - INFO - Iter [111500/160000] lr: 1.819e-05, eta: 3:24:59, time: 0.261, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1495, decode.acc_seg: 94.1331, loss: 0.1495 2023-01-06 07:12:09,239 - mmseg - INFO - Iter [111550/160000] lr: 1.817e-05, eta: 3:24:47, time: 0.256, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1392, decode.acc_seg: 94.5813, loss: 0.1392 2023-01-06 07:12:21,796 - mmseg - INFO - Iter [111600/160000] lr: 1.815e-05, eta: 3:24:34, time: 0.251, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1517, decode.acc_seg: 94.0358, loss: 0.1517 2023-01-06 07:12:36,616 - mmseg - INFO - Iter [111650/160000] lr: 1.813e-05, eta: 3:24:22, time: 0.297, data_time: 0.086, memory: 9544, decode.loss_ce: 0.1494, decode.acc_seg: 94.0402, loss: 0.1494 2023-01-06 07:12:49,200 - mmseg - INFO - Iter [111700/160000] lr: 1.811e-05, eta: 3:24:09, time: 0.252, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1446, decode.acc_seg: 94.0723, loss: 0.1446 2023-01-06 07:13:01,782 - mmseg - INFO - Iter [111750/160000] lr: 1.809e-05, eta: 3:23:57, time: 0.252, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1514, decode.acc_seg: 94.0195, loss: 0.1514 2023-01-06 07:13:14,100 - mmseg - INFO - Iter [111800/160000] lr: 1.808e-05, eta: 3:23:44, time: 0.246, data_time: 0.028, memory: 9544, decode.loss_ce: 0.1472, decode.acc_seg: 94.1755, loss: 0.1472 2023-01-06 07:13:26,494 - mmseg - INFO - Iter [111850/160000] lr: 1.806e-05, eta: 3:23:31, time: 0.248, data_time: 0.081, memory: 9544, decode.loss_ce: 0.1368, decode.acc_seg: 94.6153, loss: 0.1368 2023-01-06 07:13:39,107 - mmseg - INFO - Iter [111900/160000] lr: 1.804e-05, eta: 3:23:18, time: 0.252, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1451, decode.acc_seg: 94.2931, loss: 0.1451 2023-01-06 07:13:51,427 - mmseg - INFO - Iter [111950/160000] lr: 1.802e-05, eta: 3:23:05, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1430, decode.acc_seg: 94.3170, loss: 0.1430 2023-01-06 07:14:05,931 - mmseg - INFO - Saving checkpoint at 112000 iterations 2023-01-06 07:14:06,961 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 07:14:06,961 - mmseg - INFO - Iter [112000/160000] lr: 1.800e-05, eta: 3:22:54, time: 0.311, data_time: 0.081, memory: 9544, decode.loss_ce: 0.1432, decode.acc_seg: 94.3697, loss: 0.1432 2023-01-06 07:14:24,904 - mmseg - INFO - per class results: 2023-01-06 07:14:24,906 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 97.02 | 98.58 | | sidewalk | 77.32 | 87.2 | | building | 88.93 | 95.72 | | wall | 46.78 | 60.52 | | fence | 43.57 | 56.87 | | pole | 50.63 | 58.94 | | traffic light | 52.99 | 64.62 | | traffic sign | 65.48 | 72.91 | | vegetation | 90.75 | 95.01 | | terrain | 55.9 | 65.22 | | sky | 93.31 | 98.02 | | person | 69.9 | 86.15 | | rider | 36.16 | 44.35 | | car | 90.68 | 94.59 | | truck | 39.12 | 52.67 | | bus | 53.1 | 63.5 | | train | 39.38 | 75.45 | | motorcycle | 35.64 | 54.77 | | bicycle | 66.73 | 80.79 | +---------------+-------+-------+ 2023-01-06 07:14:24,906 - mmseg - INFO - Summary: 2023-01-06 07:14:24,907 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 93.98 | 62.81 | 73.99 | +-------+-------+-------+ 2023-01-06 07:14:24,908 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 07:14:24,908 - mmseg - INFO - Iter(val) [63] aAcc: 0.9398, mIoU: 0.6281, mAcc: 0.7399, IoU.road: 0.9702, IoU.sidewalk: 0.7732, IoU.building: 0.8893, IoU.wall: 0.4678, IoU.fence: 0.4357, IoU.pole: 0.5063, IoU.traffic light: 0.5299, IoU.traffic sign: 0.6548, IoU.vegetation: 0.9075, IoU.terrain: 0.5590, IoU.sky: 0.9331, IoU.person: 0.6990, IoU.rider: 0.3616, IoU.car: 0.9068, IoU.truck: 0.3912, IoU.bus: 0.5310, IoU.train: 0.3938, IoU.motorcycle: 0.3564, IoU.bicycle: 0.6673, Acc.road: 0.9858, Acc.sidewalk: 0.8720, Acc.building: 0.9572, Acc.wall: 0.6052, Acc.fence: 0.5687, Acc.pole: 0.5894, Acc.traffic light: 0.6462, Acc.traffic sign: 0.7291, Acc.vegetation: 0.9501, Acc.terrain: 0.6522, Acc.sky: 0.9802, Acc.person: 0.8615, Acc.rider: 0.4435, Acc.car: 0.9459, Acc.truck: 0.5267, Acc.bus: 0.6350, Acc.train: 0.7545, Acc.motorcycle: 0.5477, Acc.bicycle: 0.8079 2023-01-06 07:14:37,044 - mmseg - INFO - Iter [112050/160000] lr: 1.798e-05, eta: 3:22:49, time: 0.602, data_time: 0.374, memory: 9544, decode.loss_ce: 0.1422, decode.acc_seg: 94.4967, loss: 0.1422 2023-01-06 07:14:49,217 - mmseg - INFO - Iter [112100/160000] lr: 1.796e-05, eta: 3:22:36, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1454, decode.acc_seg: 94.3080, loss: 0.1454 2023-01-06 07:15:01,703 - mmseg - INFO - Iter [112150/160000] lr: 1.794e-05, eta: 3:22:23, time: 0.250, data_time: 0.029, memory: 9544, decode.loss_ce: 0.1526, decode.acc_seg: 93.9893, loss: 0.1526 2023-01-06 07:15:13,786 - mmseg - INFO - Iter [112200/160000] lr: 1.793e-05, eta: 3:22:10, time: 0.242, data_time: 0.023, memory: 9544, decode.loss_ce: 0.1543, decode.acc_seg: 94.0937, loss: 0.1543 2023-01-06 07:15:26,243 - mmseg - INFO - Iter [112250/160000] lr: 1.791e-05, eta: 3:21:57, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1447, decode.acc_seg: 94.4650, loss: 0.1447 2023-01-06 07:15:38,382 - mmseg - INFO - Iter [112300/160000] lr: 1.789e-05, eta: 3:21:44, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1432, decode.acc_seg: 94.5672, loss: 0.1432 2023-01-06 07:15:52,928 - mmseg - INFO - Iter [112350/160000] lr: 1.787e-05, eta: 3:21:33, time: 0.291, data_time: 0.055, memory: 9544, decode.loss_ce: 0.1293, decode.acc_seg: 94.8750, loss: 0.1293 2023-01-06 07:16:05,418 - mmseg - INFO - Iter [112400/160000] lr: 1.785e-05, eta: 3:21:20, time: 0.250, data_time: 0.014, memory: 9544, decode.loss_ce: 0.1536, decode.acc_seg: 94.0649, loss: 0.1536 2023-01-06 07:16:17,406 - mmseg - INFO - Iter [112450/160000] lr: 1.783e-05, eta: 3:21:07, time: 0.240, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1400, decode.acc_seg: 94.4514, loss: 0.1400 2023-01-06 07:16:29,564 - mmseg - INFO - Iter [112500/160000] lr: 1.781e-05, eta: 3:20:54, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1402, decode.acc_seg: 94.4574, loss: 0.1402 2023-01-06 07:16:42,019 - mmseg - INFO - Iter [112550/160000] lr: 1.779e-05, eta: 3:20:41, time: 0.249, data_time: 0.014, memory: 9544, decode.loss_ce: 0.1497, decode.acc_seg: 94.1276, loss: 0.1497 2023-01-06 07:16:54,364 - mmseg - INFO - Iter [112600/160000] lr: 1.778e-05, eta: 3:20:28, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1373, decode.acc_seg: 94.5557, loss: 0.1373 2023-01-06 07:17:06,854 - mmseg - INFO - Iter [112650/160000] lr: 1.776e-05, eta: 3:20:15, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1409, decode.acc_seg: 94.5186, loss: 0.1409 2023-01-06 07:17:18,989 - mmseg - INFO - Iter [112700/160000] lr: 1.774e-05, eta: 3:20:03, time: 0.243, data_time: 0.038, memory: 9544, decode.loss_ce: 0.1381, decode.acc_seg: 94.6257, loss: 0.1381 2023-01-06 07:17:33,697 - mmseg - INFO - Iter [112750/160000] lr: 1.772e-05, eta: 3:19:51, time: 0.294, data_time: 0.070, memory: 9544, decode.loss_ce: 0.1432, decode.acc_seg: 94.5387, loss: 0.1432 2023-01-06 07:17:45,902 - mmseg - INFO - Iter [112800/160000] lr: 1.770e-05, eta: 3:19:38, time: 0.244, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1418, decode.acc_seg: 94.3283, loss: 0.1418 2023-01-06 07:17:58,270 - mmseg - INFO - Iter [112850/160000] lr: 1.768e-05, eta: 3:19:25, time: 0.247, data_time: 0.062, memory: 9544, decode.loss_ce: 0.1443, decode.acc_seg: 94.3052, loss: 0.1443 2023-01-06 07:18:10,390 - mmseg - INFO - Iter [112900/160000] lr: 1.766e-05, eta: 3:19:12, time: 0.243, data_time: 0.076, memory: 9544, decode.loss_ce: 0.1386, decode.acc_seg: 94.4333, loss: 0.1386 2023-01-06 07:18:22,770 - mmseg - INFO - Iter [112950/160000] lr: 1.764e-05, eta: 3:18:59, time: 0.248, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1528, decode.acc_seg: 94.1419, loss: 0.1528 2023-01-06 07:18:35,136 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 07:18:35,137 - mmseg - INFO - Iter [113000/160000] lr: 1.763e-05, eta: 3:18:46, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1428, decode.acc_seg: 94.3079, loss: 0.1428 2023-01-06 07:18:47,439 - mmseg - INFO - Iter [113050/160000] lr: 1.761e-05, eta: 3:18:34, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1549, decode.acc_seg: 94.2210, loss: 0.1549 2023-01-06 07:19:01,799 - mmseg - INFO - Iter [113100/160000] lr: 1.759e-05, eta: 3:18:22, time: 0.287, data_time: 0.055, memory: 9544, decode.loss_ce: 0.1435, decode.acc_seg: 94.3349, loss: 0.1435 2023-01-06 07:19:14,098 - mmseg - INFO - Iter [113150/160000] lr: 1.757e-05, eta: 3:18:09, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1497, decode.acc_seg: 94.0506, loss: 0.1497 2023-01-06 07:19:26,363 - mmseg - INFO - Iter [113200/160000] lr: 1.755e-05, eta: 3:17:56, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1365, decode.acc_seg: 94.4440, loss: 0.1365 2023-01-06 07:19:38,404 - mmseg - INFO - Iter [113250/160000] lr: 1.753e-05, eta: 3:17:43, time: 0.241, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1409, decode.acc_seg: 94.2862, loss: 0.1409 2023-01-06 07:19:50,602 - mmseg - INFO - Iter [113300/160000] lr: 1.751e-05, eta: 3:17:30, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1410, decode.acc_seg: 94.5093, loss: 0.1410 2023-01-06 07:20:02,889 - mmseg - INFO - Iter [113350/160000] lr: 1.749e-05, eta: 3:17:17, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1427, decode.acc_seg: 94.2766, loss: 0.1427 2023-01-06 07:20:15,126 - mmseg - INFO - Iter [113400/160000] lr: 1.748e-05, eta: 3:17:04, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1389, decode.acc_seg: 94.4816, loss: 0.1389 2023-01-06 07:20:27,310 - mmseg - INFO - Iter [113450/160000] lr: 1.746e-05, eta: 3:16:51, time: 0.244, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1339, decode.acc_seg: 94.5563, loss: 0.1339 2023-01-06 07:20:41,779 - mmseg - INFO - Iter [113500/160000] lr: 1.744e-05, eta: 3:16:39, time: 0.290, data_time: 0.054, memory: 9544, decode.loss_ce: 0.1344, decode.acc_seg: 94.5689, loss: 0.1344 2023-01-06 07:20:54,195 - mmseg - INFO - Iter [113550/160000] lr: 1.742e-05, eta: 3:16:27, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1462, decode.acc_seg: 94.3889, loss: 0.1462 2023-01-06 07:21:06,434 - mmseg - INFO - Iter [113600/160000] lr: 1.740e-05, eta: 3:16:14, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1479, decode.acc_seg: 94.2415, loss: 0.1479 2023-01-06 07:21:18,809 - mmseg - INFO - Iter [113650/160000] lr: 1.738e-05, eta: 3:16:01, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1539, decode.acc_seg: 94.0553, loss: 0.1539 2023-01-06 07:21:31,145 - mmseg - INFO - Iter [113700/160000] lr: 1.736e-05, eta: 3:15:48, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1388, decode.acc_seg: 94.6775, loss: 0.1388 2023-01-06 07:21:43,343 - mmseg - INFO - Iter [113750/160000] lr: 1.734e-05, eta: 3:15:35, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1361, decode.acc_seg: 94.5521, loss: 0.1361 2023-01-06 07:21:55,427 - mmseg - INFO - Iter [113800/160000] lr: 1.733e-05, eta: 3:15:22, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1410, decode.acc_seg: 94.3620, loss: 0.1410 2023-01-06 07:22:09,859 - mmseg - INFO - Iter [113850/160000] lr: 1.731e-05, eta: 3:15:10, time: 0.288, data_time: 0.056, memory: 9544, decode.loss_ce: 0.1520, decode.acc_seg: 94.1240, loss: 0.1520 2023-01-06 07:22:22,211 - mmseg - INFO - Iter [113900/160000] lr: 1.729e-05, eta: 3:14:57, time: 0.247, data_time: 0.014, memory: 9544, decode.loss_ce: 0.1479, decode.acc_seg: 94.2578, loss: 0.1479 2023-01-06 07:22:34,275 - mmseg - INFO - Iter [113950/160000] lr: 1.727e-05, eta: 3:14:45, time: 0.241, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1388, decode.acc_seg: 94.4469, loss: 0.1388 2023-01-06 07:22:46,259 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 07:22:46,260 - mmseg - INFO - Iter [114000/160000] lr: 1.725e-05, eta: 3:14:32, time: 0.240, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1402, decode.acc_seg: 94.3978, loss: 0.1402 2023-01-06 07:22:58,628 - mmseg - INFO - Iter [114050/160000] lr: 1.723e-05, eta: 3:14:19, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1380, decode.acc_seg: 94.5141, loss: 0.1380 2023-01-06 07:23:11,081 - mmseg - INFO - Iter [114100/160000] lr: 1.721e-05, eta: 3:14:06, time: 0.249, data_time: 0.055, memory: 9544, decode.loss_ce: 0.1504, decode.acc_seg: 94.2755, loss: 0.1504 2023-01-06 07:23:23,295 - mmseg - INFO - Iter [114150/160000] lr: 1.719e-05, eta: 3:13:53, time: 0.244, data_time: 0.056, memory: 9544, decode.loss_ce: 0.1377, decode.acc_seg: 94.5269, loss: 0.1377 2023-01-06 07:23:35,776 - mmseg - INFO - Iter [114200/160000] lr: 1.718e-05, eta: 3:13:40, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1439, decode.acc_seg: 94.2399, loss: 0.1439 2023-01-06 07:23:50,542 - mmseg - INFO - Iter [114250/160000] lr: 1.716e-05, eta: 3:13:28, time: 0.295, data_time: 0.074, memory: 9544, decode.loss_ce: 0.1394, decode.acc_seg: 94.5224, loss: 0.1394 2023-01-06 07:24:02,786 - mmseg - INFO - Iter [114300/160000] lr: 1.714e-05, eta: 3:13:16, time: 0.245, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1439, decode.acc_seg: 94.1099, loss: 0.1439 2023-01-06 07:24:15,348 - mmseg - INFO - Iter [114350/160000] lr: 1.712e-05, eta: 3:13:03, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1503, decode.acc_seg: 94.1787, loss: 0.1503 2023-01-06 07:24:27,473 - mmseg - INFO - Iter [114400/160000] lr: 1.710e-05, eta: 3:12:50, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1327, decode.acc_seg: 94.7295, loss: 0.1327 2023-01-06 07:24:39,961 - mmseg - INFO - Iter [114450/160000] lr: 1.708e-05, eta: 3:12:37, time: 0.249, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1504, decode.acc_seg: 94.2326, loss: 0.1504 2023-01-06 07:24:52,069 - mmseg - INFO - Iter [114500/160000] lr: 1.706e-05, eta: 3:12:24, time: 0.242, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1439, decode.acc_seg: 94.3079, loss: 0.1439 2023-01-06 07:25:04,229 - mmseg - INFO - Iter [114550/160000] lr: 1.704e-05, eta: 3:12:11, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1383, decode.acc_seg: 94.7734, loss: 0.1383 2023-01-06 07:25:18,726 - mmseg - INFO - Iter [114600/160000] lr: 1.703e-05, eta: 3:11:59, time: 0.290, data_time: 0.053, memory: 9544, decode.loss_ce: 0.1402, decode.acc_seg: 94.3339, loss: 0.1402 2023-01-06 07:25:30,715 - mmseg - INFO - Iter [114650/160000] lr: 1.701e-05, eta: 3:11:46, time: 0.240, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1376, decode.acc_seg: 94.5613, loss: 0.1376 2023-01-06 07:25:43,081 - mmseg - INFO - Iter [114700/160000] lr: 1.699e-05, eta: 3:11:34, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1526, decode.acc_seg: 93.9610, loss: 0.1526 2023-01-06 07:25:55,349 - mmseg - INFO - Iter [114750/160000] lr: 1.697e-05, eta: 3:11:21, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1583, decode.acc_seg: 93.9413, loss: 0.1583 2023-01-06 07:26:07,786 - mmseg - INFO - Iter [114800/160000] lr: 1.695e-05, eta: 3:11:08, time: 0.249, data_time: 0.020, memory: 9544, decode.loss_ce: 0.1480, decode.acc_seg: 94.2129, loss: 0.1480 2023-01-06 07:26:19,827 - mmseg - INFO - Iter [114850/160000] lr: 1.693e-05, eta: 3:10:55, time: 0.241, data_time: 0.039, memory: 9544, decode.loss_ce: 0.1464, decode.acc_seg: 94.3379, loss: 0.1464 2023-01-06 07:26:32,482 - mmseg - INFO - Iter [114900/160000] lr: 1.691e-05, eta: 3:10:42, time: 0.253, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1311, decode.acc_seg: 94.6571, loss: 0.1311 2023-01-06 07:26:46,944 - mmseg - INFO - Iter [114950/160000] lr: 1.689e-05, eta: 3:10:30, time: 0.289, data_time: 0.056, memory: 9544, decode.loss_ce: 0.1523, decode.acc_seg: 94.2293, loss: 0.1523 2023-01-06 07:26:59,390 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 07:26:59,391 - mmseg - INFO - Iter [115000/160000] lr: 1.688e-05, eta: 3:10:18, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1254, decode.acc_seg: 95.0129, loss: 0.1254 2023-01-06 07:27:11,717 - mmseg - INFO - Iter [115050/160000] lr: 1.686e-05, eta: 3:10:05, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1407, decode.acc_seg: 94.5396, loss: 0.1407 2023-01-06 07:27:24,036 - mmseg - INFO - Iter [115100/160000] lr: 1.684e-05, eta: 3:09:52, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1418, decode.acc_seg: 94.2517, loss: 0.1418 2023-01-06 07:27:36,341 - mmseg - INFO - Iter [115150/160000] lr: 1.682e-05, eta: 3:09:39, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1438, decode.acc_seg: 94.2711, loss: 0.1438 2023-01-06 07:27:48,724 - mmseg - INFO - Iter [115200/160000] lr: 1.680e-05, eta: 3:09:26, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1369, decode.acc_seg: 94.5627, loss: 0.1369 2023-01-06 07:28:01,379 - mmseg - INFO - Iter [115250/160000] lr: 1.678e-05, eta: 3:09:14, time: 0.253, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1412, decode.acc_seg: 94.3849, loss: 0.1412 2023-01-06 07:28:13,839 - mmseg - INFO - Iter [115300/160000] lr: 1.676e-05, eta: 3:09:01, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1457, decode.acc_seg: 94.2835, loss: 0.1457 2023-01-06 07:28:28,595 - mmseg - INFO - Iter [115350/160000] lr: 1.674e-05, eta: 3:08:49, time: 0.295, data_time: 0.104, memory: 9544, decode.loss_ce: 0.1450, decode.acc_seg: 94.4532, loss: 0.1450 2023-01-06 07:28:40,955 - mmseg - INFO - Iter [115400/160000] lr: 1.673e-05, eta: 3:08:36, time: 0.247, data_time: 0.084, memory: 9544, decode.loss_ce: 0.1486, decode.acc_seg: 94.4562, loss: 0.1486 2023-01-06 07:28:53,363 - mmseg - INFO - Iter [115450/160000] lr: 1.671e-05, eta: 3:08:23, time: 0.248, data_time: 0.027, memory: 9544, decode.loss_ce: 0.1394, decode.acc_seg: 94.4794, loss: 0.1394 2023-01-06 07:29:05,527 - mmseg - INFO - Iter [115500/160000] lr: 1.669e-05, eta: 3:08:10, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1442, decode.acc_seg: 94.3956, loss: 0.1442 2023-01-06 07:29:17,785 - mmseg - INFO - Iter [115550/160000] lr: 1.667e-05, eta: 3:07:58, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1425, decode.acc_seg: 94.1798, loss: 0.1425 2023-01-06 07:29:29,912 - mmseg - INFO - Iter [115600/160000] lr: 1.665e-05, eta: 3:07:45, time: 0.242, data_time: 0.037, memory: 9544, decode.loss_ce: 0.1411, decode.acc_seg: 94.4536, loss: 0.1411 2023-01-06 07:29:42,055 - mmseg - INFO - Iter [115650/160000] lr: 1.663e-05, eta: 3:07:32, time: 0.243, data_time: 0.061, memory: 9544, decode.loss_ce: 0.1501, decode.acc_seg: 94.1256, loss: 0.1501 2023-01-06 07:29:56,684 - mmseg - INFO - Iter [115700/160000] lr: 1.661e-05, eta: 3:07:20, time: 0.292, data_time: 0.094, memory: 9544, decode.loss_ce: 0.1515, decode.acc_seg: 93.9879, loss: 0.1515 2023-01-06 07:30:09,111 - mmseg - INFO - Iter [115750/160000] lr: 1.659e-05, eta: 3:07:07, time: 0.248, data_time: 0.078, memory: 9544, decode.loss_ce: 0.1372, decode.acc_seg: 94.4752, loss: 0.1372 2023-01-06 07:30:21,432 - mmseg - INFO - Iter [115800/160000] lr: 1.658e-05, eta: 3:06:54, time: 0.247, data_time: 0.030, memory: 9544, decode.loss_ce: 0.1411, decode.acc_seg: 94.4241, loss: 0.1411 2023-01-06 07:30:33,701 - mmseg - INFO - Iter [115850/160000] lr: 1.656e-05, eta: 3:06:41, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1412, decode.acc_seg: 94.4829, loss: 0.1412 2023-01-06 07:30:46,004 - mmseg - INFO - Iter [115900/160000] lr: 1.654e-05, eta: 3:06:29, time: 0.246, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1452, decode.acc_seg: 94.2311, loss: 0.1452 2023-01-06 07:30:58,293 - mmseg - INFO - Iter [115950/160000] lr: 1.652e-05, eta: 3:06:16, time: 0.246, data_time: 0.022, memory: 9544, decode.loss_ce: 0.1318, decode.acc_seg: 94.7404, loss: 0.1318 2023-01-06 07:31:10,732 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 07:31:10,733 - mmseg - INFO - Iter [116000/160000] lr: 1.650e-05, eta: 3:06:03, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1356, decode.acc_seg: 94.7276, loss: 0.1356 2023-01-06 07:31:23,170 - mmseg - INFO - Iter [116050/160000] lr: 1.648e-05, eta: 3:05:50, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1306, decode.acc_seg: 94.7813, loss: 0.1306 2023-01-06 07:31:37,740 - mmseg - INFO - Iter [116100/160000] lr: 1.646e-05, eta: 3:05:38, time: 0.292, data_time: 0.055, memory: 9544, decode.loss_ce: 0.1556, decode.acc_seg: 94.0442, loss: 0.1556 2023-01-06 07:31:50,208 - mmseg - INFO - Iter [116150/160000] lr: 1.644e-05, eta: 3:05:25, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1382, decode.acc_seg: 94.5792, loss: 0.1382 2023-01-06 07:32:02,568 - mmseg - INFO - Iter [116200/160000] lr: 1.643e-05, eta: 3:05:13, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1410, decode.acc_seg: 94.5584, loss: 0.1410 2023-01-06 07:32:14,990 - mmseg - INFO - Iter [116250/160000] lr: 1.641e-05, eta: 3:05:00, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1440, decode.acc_seg: 94.3356, loss: 0.1440 2023-01-06 07:32:27,324 - mmseg - INFO - Iter [116300/160000] lr: 1.639e-05, eta: 3:04:47, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1406, decode.acc_seg: 94.5084, loss: 0.1406 2023-01-06 07:32:39,732 - mmseg - INFO - Iter [116350/160000] lr: 1.637e-05, eta: 3:04:34, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1558, decode.acc_seg: 94.0362, loss: 0.1558 2023-01-06 07:32:52,090 - mmseg - INFO - Iter [116400/160000] lr: 1.635e-05, eta: 3:04:21, time: 0.247, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1402, decode.acc_seg: 94.4597, loss: 0.1402 2023-01-06 07:33:06,493 - mmseg - INFO - Iter [116450/160000] lr: 1.633e-05, eta: 3:04:09, time: 0.288, data_time: 0.057, memory: 9544, decode.loss_ce: 0.1445, decode.acc_seg: 94.3311, loss: 0.1445 2023-01-06 07:33:19,074 - mmseg - INFO - Iter [116500/160000] lr: 1.631e-05, eta: 3:03:57, time: 0.252, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1612, decode.acc_seg: 93.8432, loss: 0.1612 2023-01-06 07:33:31,499 - mmseg - INFO - Iter [116550/160000] lr: 1.629e-05, eta: 3:03:44, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1359, decode.acc_seg: 94.6838, loss: 0.1359 2023-01-06 07:33:43,704 - mmseg - INFO - Iter [116600/160000] lr: 1.628e-05, eta: 3:03:31, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1380, decode.acc_seg: 94.4149, loss: 0.1380 2023-01-06 07:33:55,786 - mmseg - INFO - Iter [116650/160000] lr: 1.626e-05, eta: 3:03:18, time: 0.241, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1396, decode.acc_seg: 94.3299, loss: 0.1396 2023-01-06 07:34:07,978 - mmseg - INFO - Iter [116700/160000] lr: 1.624e-05, eta: 3:03:05, time: 0.244, data_time: 0.020, memory: 9544, decode.loss_ce: 0.1436, decode.acc_seg: 94.4005, loss: 0.1436 2023-01-06 07:34:20,061 - mmseg - INFO - Iter [116750/160000] lr: 1.622e-05, eta: 3:02:52, time: 0.242, data_time: 0.020, memory: 9544, decode.loss_ce: 0.1397, decode.acc_seg: 94.4636, loss: 0.1397 2023-01-06 07:34:32,171 - mmseg - INFO - Iter [116800/160000] lr: 1.620e-05, eta: 3:02:39, time: 0.242, data_time: 0.030, memory: 9544, decode.loss_ce: 0.1437, decode.acc_seg: 94.3089, loss: 0.1437 2023-01-06 07:34:46,676 - mmseg - INFO - Iter [116850/160000] lr: 1.618e-05, eta: 3:02:27, time: 0.290, data_time: 0.067, memory: 9544, decode.loss_ce: 0.1528, decode.acc_seg: 94.0398, loss: 0.1528 2023-01-06 07:34:58,874 - mmseg - INFO - Iter [116900/160000] lr: 1.616e-05, eta: 3:02:15, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1329, decode.acc_seg: 94.4634, loss: 0.1329 2023-01-06 07:35:11,147 - mmseg - INFO - Iter [116950/160000] lr: 1.614e-05, eta: 3:02:02, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1345, decode.acc_seg: 94.5918, loss: 0.1345 2023-01-06 07:35:23,549 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 07:35:23,550 - mmseg - INFO - Iter [117000/160000] lr: 1.613e-05, eta: 3:01:49, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1438, decode.acc_seg: 94.4053, loss: 0.1438 2023-01-06 07:35:35,671 - mmseg - INFO - Iter [117050/160000] lr: 1.611e-05, eta: 3:01:36, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1400, decode.acc_seg: 94.4817, loss: 0.1400 2023-01-06 07:35:48,054 - mmseg - INFO - Iter [117100/160000] lr: 1.609e-05, eta: 3:01:23, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1336, decode.acc_seg: 94.6770, loss: 0.1336 2023-01-06 07:36:00,016 - mmseg - INFO - Iter [117150/160000] lr: 1.607e-05, eta: 3:01:10, time: 0.239, data_time: 0.015, memory: 9544, decode.loss_ce: 0.1357, decode.acc_seg: 94.4978, loss: 0.1357 2023-01-06 07:36:14,548 - mmseg - INFO - Iter [117200/160000] lr: 1.605e-05, eta: 3:00:58, time: 0.291, data_time: 0.103, memory: 9544, decode.loss_ce: 0.1376, decode.acc_seg: 94.4923, loss: 0.1376 2023-01-06 07:36:26,775 - mmseg - INFO - Iter [117250/160000] lr: 1.603e-05, eta: 3:00:45, time: 0.244, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1469, decode.acc_seg: 94.1715, loss: 0.1469 2023-01-06 07:36:39,142 - mmseg - INFO - Iter [117300/160000] lr: 1.601e-05, eta: 3:00:33, time: 0.247, data_time: 0.018, memory: 9544, decode.loss_ce: 0.1379, decode.acc_seg: 94.6100, loss: 0.1379 2023-01-06 07:36:51,207 - mmseg - INFO - Iter [117350/160000] lr: 1.599e-05, eta: 3:00:20, time: 0.241, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1332, decode.acc_seg: 94.6012, loss: 0.1332 2023-01-06 07:37:03,481 - mmseg - INFO - Iter [117400/160000] lr: 1.598e-05, eta: 3:00:07, time: 0.245, data_time: 0.023, memory: 9544, decode.loss_ce: 0.1382, decode.acc_seg: 94.4297, loss: 0.1382 2023-01-06 07:37:15,600 - mmseg - INFO - Iter [117450/160000] lr: 1.596e-05, eta: 2:59:54, time: 0.242, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1414, decode.acc_seg: 94.3931, loss: 0.1414 2023-01-06 07:37:27,701 - mmseg - INFO - Iter [117500/160000] lr: 1.594e-05, eta: 2:59:41, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1518, decode.acc_seg: 94.2370, loss: 0.1518 2023-01-06 07:37:40,104 - mmseg - INFO - Iter [117550/160000] lr: 1.592e-05, eta: 2:59:28, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1298, decode.acc_seg: 94.8806, loss: 0.1298 2023-01-06 07:37:54,824 - mmseg - INFO - Iter [117600/160000] lr: 1.590e-05, eta: 2:59:16, time: 0.294, data_time: 0.103, memory: 9544, decode.loss_ce: 0.1464, decode.acc_seg: 94.1982, loss: 0.1464 2023-01-06 07:38:07,142 - mmseg - INFO - Iter [117650/160000] lr: 1.588e-05, eta: 2:59:04, time: 0.247, data_time: 0.035, memory: 9544, decode.loss_ce: 0.1416, decode.acc_seg: 94.4607, loss: 0.1416 2023-01-06 07:38:19,457 - mmseg - INFO - Iter [117700/160000] lr: 1.586e-05, eta: 2:58:51, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1372, decode.acc_seg: 94.5964, loss: 0.1372 2023-01-06 07:38:31,685 - mmseg - INFO - Iter [117750/160000] lr: 1.584e-05, eta: 2:58:38, time: 0.244, data_time: 0.023, memory: 9544, decode.loss_ce: 0.1378, decode.acc_seg: 94.4940, loss: 0.1378 2023-01-06 07:38:44,307 - mmseg - INFO - Iter [117800/160000] lr: 1.583e-05, eta: 2:58:25, time: 0.253, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1455, decode.acc_seg: 94.3241, loss: 0.1455 2023-01-06 07:38:56,258 - mmseg - INFO - Iter [117850/160000] lr: 1.581e-05, eta: 2:58:12, time: 0.239, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1371, decode.acc_seg: 94.5129, loss: 0.1371 2023-01-06 07:39:08,652 - mmseg - INFO - Iter [117900/160000] lr: 1.579e-05, eta: 2:57:59, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1350, decode.acc_seg: 94.6608, loss: 0.1350 2023-01-06 07:39:23,126 - mmseg - INFO - Iter [117950/160000] lr: 1.577e-05, eta: 2:57:47, time: 0.289, data_time: 0.061, memory: 9544, decode.loss_ce: 0.1342, decode.acc_seg: 94.7057, loss: 0.1342 2023-01-06 07:39:35,696 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 07:39:35,697 - mmseg - INFO - Iter [118000/160000] lr: 1.575e-05, eta: 2:57:35, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1402, decode.acc_seg: 94.5665, loss: 0.1402 2023-01-06 07:39:47,901 - mmseg - INFO - Iter [118050/160000] lr: 1.573e-05, eta: 2:57:22, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1367, decode.acc_seg: 94.5330, loss: 0.1367 2023-01-06 07:40:00,094 - mmseg - INFO - Iter [118100/160000] lr: 1.571e-05, eta: 2:57:09, time: 0.244, data_time: 0.052, memory: 9544, decode.loss_ce: 0.1332, decode.acc_seg: 94.7292, loss: 0.1332 2023-01-06 07:40:12,180 - mmseg - INFO - Iter [118150/160000] lr: 1.569e-05, eta: 2:56:56, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1411, decode.acc_seg: 94.3556, loss: 0.1411 2023-01-06 07:40:24,369 - mmseg - INFO - Iter [118200/160000] lr: 1.568e-05, eta: 2:56:43, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1539, decode.acc_seg: 93.9816, loss: 0.1539 2023-01-06 07:40:36,790 - mmseg - INFO - Iter [118250/160000] lr: 1.566e-05, eta: 2:56:30, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1452, decode.acc_seg: 94.2084, loss: 0.1452 2023-01-06 07:40:51,221 - mmseg - INFO - Iter [118300/160000] lr: 1.564e-05, eta: 2:56:18, time: 0.289, data_time: 0.058, memory: 9544, decode.loss_ce: 0.1420, decode.acc_seg: 94.2911, loss: 0.1420 2023-01-06 07:41:03,683 - mmseg - INFO - Iter [118350/160000] lr: 1.562e-05, eta: 2:56:06, time: 0.249, data_time: 0.022, memory: 9544, decode.loss_ce: 0.1381, decode.acc_seg: 94.5288, loss: 0.1381 2023-01-06 07:41:15,982 - mmseg - INFO - Iter [118400/160000] lr: 1.560e-05, eta: 2:55:53, time: 0.246, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1377, decode.acc_seg: 94.5575, loss: 0.1377 2023-01-06 07:41:28,317 - mmseg - INFO - Iter [118450/160000] lr: 1.558e-05, eta: 2:55:40, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1569, decode.acc_seg: 94.2065, loss: 0.1569 2023-01-06 07:41:40,819 - mmseg - INFO - Iter [118500/160000] lr: 1.556e-05, eta: 2:55:27, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1412, decode.acc_seg: 94.4020, loss: 0.1412 2023-01-06 07:41:52,991 - mmseg - INFO - Iter [118550/160000] lr: 1.554e-05, eta: 2:55:14, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1395, decode.acc_seg: 94.4674, loss: 0.1395 2023-01-06 07:42:05,403 - mmseg - INFO - Iter [118600/160000] lr: 1.553e-05, eta: 2:55:02, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1404, decode.acc_seg: 94.4072, loss: 0.1404 2023-01-06 07:42:17,949 - mmseg - INFO - Iter [118650/160000] lr: 1.551e-05, eta: 2:54:49, time: 0.251, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1442, decode.acc_seg: 94.3538, loss: 0.1442 2023-01-06 07:42:32,485 - mmseg - INFO - Iter [118700/160000] lr: 1.549e-05, eta: 2:54:37, time: 0.291, data_time: 0.061, memory: 9544, decode.loss_ce: 0.1560, decode.acc_seg: 93.8845, loss: 0.1560 2023-01-06 07:42:44,724 - mmseg - INFO - Iter [118750/160000] lr: 1.547e-05, eta: 2:54:24, time: 0.245, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1338, decode.acc_seg: 94.6765, loss: 0.1338 2023-01-06 07:42:57,154 - mmseg - INFO - Iter [118800/160000] lr: 1.545e-05, eta: 2:54:11, time: 0.249, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1416, decode.acc_seg: 94.5473, loss: 0.1416 2023-01-06 07:43:09,506 - mmseg - INFO - Iter [118850/160000] lr: 1.543e-05, eta: 2:53:58, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1401, decode.acc_seg: 94.3763, loss: 0.1401 2023-01-06 07:43:21,902 - mmseg - INFO - Iter [118900/160000] lr: 1.541e-05, eta: 2:53:46, time: 0.248, data_time: 0.040, memory: 9544, decode.loss_ce: 0.1278, decode.acc_seg: 94.9305, loss: 0.1278 2023-01-06 07:43:34,070 - mmseg - INFO - Iter [118950/160000] lr: 1.539e-05, eta: 2:53:33, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1448, decode.acc_seg: 94.1878, loss: 0.1448 2023-01-06 07:43:46,436 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 07:43:46,437 - mmseg - INFO - Iter [119000/160000] lr: 1.538e-05, eta: 2:53:20, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1413, decode.acc_seg: 94.4164, loss: 0.1413 2023-01-06 07:44:00,841 - mmseg - INFO - Iter [119050/160000] lr: 1.536e-05, eta: 2:53:08, time: 0.288, data_time: 0.055, memory: 9544, decode.loss_ce: 0.1438, decode.acc_seg: 94.1505, loss: 0.1438 2023-01-06 07:44:13,167 - mmseg - INFO - Iter [119100/160000] lr: 1.534e-05, eta: 2:52:55, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1328, decode.acc_seg: 94.7332, loss: 0.1328 2023-01-06 07:44:25,345 - mmseg - INFO - Iter [119150/160000] lr: 1.532e-05, eta: 2:52:42, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1382, decode.acc_seg: 94.5250, loss: 0.1382 2023-01-06 07:44:37,685 - mmseg - INFO - Iter [119200/160000] lr: 1.530e-05, eta: 2:52:29, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1453, decode.acc_seg: 94.3809, loss: 0.1453 2023-01-06 07:44:50,111 - mmseg - INFO - Iter [119250/160000] lr: 1.528e-05, eta: 2:52:17, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1287, decode.acc_seg: 94.8173, loss: 0.1287 2023-01-06 07:45:02,512 - mmseg - INFO - Iter [119300/160000] lr: 1.526e-05, eta: 2:52:04, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1389, decode.acc_seg: 94.4241, loss: 0.1389 2023-01-06 07:45:14,925 - mmseg - INFO - Iter [119350/160000] lr: 1.524e-05, eta: 2:51:51, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1475, decode.acc_seg: 94.2625, loss: 0.1475 2023-01-06 07:45:27,310 - mmseg - INFO - Iter [119400/160000] lr: 1.523e-05, eta: 2:51:38, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1392, decode.acc_seg: 94.6064, loss: 0.1392 2023-01-06 07:45:41,653 - mmseg - INFO - Iter [119450/160000] lr: 1.521e-05, eta: 2:51:26, time: 0.287, data_time: 0.076, memory: 9544, decode.loss_ce: 0.1274, decode.acc_seg: 94.9121, loss: 0.1274 2023-01-06 07:45:53,895 - mmseg - INFO - Iter [119500/160000] lr: 1.519e-05, eta: 2:51:13, time: 0.245, data_time: 0.074, memory: 9544, decode.loss_ce: 0.1422, decode.acc_seg: 94.4171, loss: 0.1422 2023-01-06 07:46:06,139 - mmseg - INFO - Iter [119550/160000] lr: 1.517e-05, eta: 2:51:00, time: 0.245, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1346, decode.acc_seg: 94.5935, loss: 0.1346 2023-01-06 07:46:18,491 - mmseg - INFO - Iter [119600/160000] lr: 1.515e-05, eta: 2:50:48, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1407, decode.acc_seg: 94.3305, loss: 0.1407 2023-01-06 07:46:30,683 - mmseg - INFO - Iter [119650/160000] lr: 1.513e-05, eta: 2:50:35, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1464, decode.acc_seg: 94.3665, loss: 0.1464 2023-01-06 07:46:42,885 - mmseg - INFO - Iter [119700/160000] lr: 1.511e-05, eta: 2:50:22, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1456, decode.acc_seg: 94.3018, loss: 0.1456 2023-01-06 07:46:55,214 - mmseg - INFO - Iter [119750/160000] lr: 1.509e-05, eta: 2:50:09, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1356, decode.acc_seg: 94.5508, loss: 0.1356 2023-01-06 07:47:09,903 - mmseg - INFO - Iter [119800/160000] lr: 1.508e-05, eta: 2:49:57, time: 0.294, data_time: 0.055, memory: 9544, decode.loss_ce: 0.1414, decode.acc_seg: 94.4740, loss: 0.1414 2023-01-06 07:47:22,187 - mmseg - INFO - Iter [119850/160000] lr: 1.506e-05, eta: 2:49:44, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1353, decode.acc_seg: 94.6772, loss: 0.1353 2023-01-06 07:47:34,435 - mmseg - INFO - Iter [119900/160000] lr: 1.504e-05, eta: 2:49:32, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1365, decode.acc_seg: 94.4860, loss: 0.1365 2023-01-06 07:47:46,821 - mmseg - INFO - Iter [119950/160000] lr: 1.502e-05, eta: 2:49:19, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1372, decode.acc_seg: 94.3629, loss: 0.1372 2023-01-06 07:47:58,884 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 07:47:58,885 - mmseg - INFO - Iter [120000/160000] lr: 1.500e-05, eta: 2:49:06, time: 0.241, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1308, decode.acc_seg: 94.8482, loss: 0.1308 2023-01-06 07:48:11,214 - mmseg - INFO - Iter [120050/160000] lr: 1.498e-05, eta: 2:48:53, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1358, decode.acc_seg: 94.5160, loss: 0.1358 2023-01-06 07:48:23,313 - mmseg - INFO - Iter [120100/160000] lr: 1.496e-05, eta: 2:48:40, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1443, decode.acc_seg: 94.1288, loss: 0.1443 2023-01-06 07:48:35,418 - mmseg - INFO - Iter [120150/160000] lr: 1.494e-05, eta: 2:48:27, time: 0.242, data_time: 0.017, memory: 9544, decode.loss_ce: 0.1390, decode.acc_seg: 94.5826, loss: 0.1390 2023-01-06 07:48:49,928 - mmseg - INFO - Iter [120200/160000] lr: 1.493e-05, eta: 2:48:15, time: 0.290, data_time: 0.062, memory: 9544, decode.loss_ce: 0.1425, decode.acc_seg: 94.3999, loss: 0.1425 2023-01-06 07:49:02,250 - mmseg - INFO - Iter [120250/160000] lr: 1.491e-05, eta: 2:48:02, time: 0.246, data_time: 0.058, memory: 9544, decode.loss_ce: 0.1431, decode.acc_seg: 94.4570, loss: 0.1431 2023-01-06 07:49:14,429 - mmseg - INFO - Iter [120300/160000] lr: 1.489e-05, eta: 2:47:50, time: 0.244, data_time: 0.027, memory: 9544, decode.loss_ce: 0.1302, decode.acc_seg: 94.8036, loss: 0.1302 2023-01-06 07:49:26,809 - mmseg - INFO - Iter [120350/160000] lr: 1.487e-05, eta: 2:47:37, time: 0.247, data_time: 0.015, memory: 9544, decode.loss_ce: 0.1443, decode.acc_seg: 94.2851, loss: 0.1443 2023-01-06 07:49:38,985 - mmseg - INFO - Iter [120400/160000] lr: 1.485e-05, eta: 2:47:24, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1356, decode.acc_seg: 94.7352, loss: 0.1356 2023-01-06 07:49:51,177 - mmseg - INFO - Iter [120450/160000] lr: 1.483e-05, eta: 2:47:11, time: 0.244, data_time: 0.017, memory: 9544, decode.loss_ce: 0.1359, decode.acc_seg: 94.5857, loss: 0.1359 2023-01-06 07:50:03,234 - mmseg - INFO - Iter [120500/160000] lr: 1.481e-05, eta: 2:46:58, time: 0.241, data_time: 0.014, memory: 9544, decode.loss_ce: 0.1402, decode.acc_seg: 94.2917, loss: 0.1402 2023-01-06 07:50:17,746 - mmseg - INFO - Iter [120550/160000] lr: 1.479e-05, eta: 2:46:46, time: 0.290, data_time: 0.057, memory: 9544, decode.loss_ce: 0.1294, decode.acc_seg: 94.7227, loss: 0.1294 2023-01-06 07:50:30,080 - mmseg - INFO - Iter [120600/160000] lr: 1.478e-05, eta: 2:46:33, time: 0.247, data_time: 0.016, memory: 9544, decode.loss_ce: 0.1365, decode.acc_seg: 94.6193, loss: 0.1365 2023-01-06 07:50:42,112 - mmseg - INFO - Iter [120650/160000] lr: 1.476e-05, eta: 2:46:20, time: 0.241, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1503, decode.acc_seg: 94.2074, loss: 0.1503 2023-01-06 07:50:54,232 - mmseg - INFO - Iter [120700/160000] lr: 1.474e-05, eta: 2:46:08, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1255, decode.acc_seg: 94.9670, loss: 0.1255 2023-01-06 07:51:06,590 - mmseg - INFO - Iter [120750/160000] lr: 1.472e-05, eta: 2:45:55, time: 0.247, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1431, decode.acc_seg: 94.3945, loss: 0.1431 2023-01-06 07:51:19,013 - mmseg - INFO - Iter [120800/160000] lr: 1.470e-05, eta: 2:45:42, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1347, decode.acc_seg: 94.6295, loss: 0.1347 2023-01-06 07:51:31,270 - mmseg - INFO - Iter [120850/160000] lr: 1.468e-05, eta: 2:45:29, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1351, decode.acc_seg: 94.4951, loss: 0.1351 2023-01-06 07:51:43,448 - mmseg - INFO - Iter [120900/160000] lr: 1.466e-05, eta: 2:45:16, time: 0.243, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1388, decode.acc_seg: 94.5262, loss: 0.1388 2023-01-06 07:51:57,832 - mmseg - INFO - Iter [120950/160000] lr: 1.464e-05, eta: 2:45:04, time: 0.288, data_time: 0.066, memory: 9544, decode.loss_ce: 0.1393, decode.acc_seg: 94.4938, loss: 0.1393 2023-01-06 07:52:10,172 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 07:52:10,173 - mmseg - INFO - Iter [121000/160000] lr: 1.463e-05, eta: 2:44:51, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1389, decode.acc_seg: 94.3524, loss: 0.1389 2023-01-06 07:52:22,441 - mmseg - INFO - Iter [121050/160000] lr: 1.461e-05, eta: 2:44:39, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1264, decode.acc_seg: 94.9833, loss: 0.1264 2023-01-06 07:52:34,774 - mmseg - INFO - Iter [121100/160000] lr: 1.459e-05, eta: 2:44:26, time: 0.247, data_time: 0.057, memory: 9544, decode.loss_ce: 0.1362, decode.acc_seg: 94.6081, loss: 0.1362 2023-01-06 07:52:47,065 - mmseg - INFO - Iter [121150/160000] lr: 1.457e-05, eta: 2:44:13, time: 0.246, data_time: 0.049, memory: 9544, decode.loss_ce: 0.1501, decode.acc_seg: 94.1355, loss: 0.1501 2023-01-06 07:52:59,488 - mmseg - INFO - Iter [121200/160000] lr: 1.455e-05, eta: 2:44:00, time: 0.248, data_time: 0.054, memory: 9544, decode.loss_ce: 0.1397, decode.acc_seg: 94.3797, loss: 0.1397 2023-01-06 07:53:11,963 - mmseg - INFO - Iter [121250/160000] lr: 1.453e-05, eta: 2:43:47, time: 0.250, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1406, decode.acc_seg: 94.4125, loss: 0.1406 2023-01-06 07:53:26,748 - mmseg - INFO - Iter [121300/160000] lr: 1.451e-05, eta: 2:43:35, time: 0.296, data_time: 0.057, memory: 9544, decode.loss_ce: 0.1392, decode.acc_seg: 94.3313, loss: 0.1392 2023-01-06 07:53:39,016 - mmseg - INFO - Iter [121350/160000] lr: 1.449e-05, eta: 2:43:23, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1397, decode.acc_seg: 94.5519, loss: 0.1397 2023-01-06 07:53:51,443 - mmseg - INFO - Iter [121400/160000] lr: 1.448e-05, eta: 2:43:10, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1337, decode.acc_seg: 94.6672, loss: 0.1337 2023-01-06 07:54:03,373 - mmseg - INFO - Iter [121450/160000] lr: 1.446e-05, eta: 2:42:57, time: 0.239, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1305, decode.acc_seg: 94.8370, loss: 0.1305 2023-01-06 07:54:15,645 - mmseg - INFO - Iter [121500/160000] lr: 1.444e-05, eta: 2:42:44, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1306, decode.acc_seg: 94.6802, loss: 0.1306 2023-01-06 07:54:28,066 - mmseg - INFO - Iter [121550/160000] lr: 1.442e-05, eta: 2:42:31, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1427, decode.acc_seg: 94.4635, loss: 0.1427 2023-01-06 07:54:40,390 - mmseg - INFO - Iter [121600/160000] lr: 1.440e-05, eta: 2:42:19, time: 0.246, data_time: 0.018, memory: 9544, decode.loss_ce: 0.1430, decode.acc_seg: 94.4087, loss: 0.1430 2023-01-06 07:54:54,790 - mmseg - INFO - Iter [121650/160000] lr: 1.438e-05, eta: 2:42:06, time: 0.288, data_time: 0.082, memory: 9544, decode.loss_ce: 0.1354, decode.acc_seg: 94.6148, loss: 0.1354 2023-01-06 07:55:06,925 - mmseg - INFO - Iter [121700/160000] lr: 1.436e-05, eta: 2:41:54, time: 0.243, data_time: 0.017, memory: 9544, decode.loss_ce: 0.1436, decode.acc_seg: 94.3621, loss: 0.1436 2023-01-06 07:55:19,231 - mmseg - INFO - Iter [121750/160000] lr: 1.434e-05, eta: 2:41:41, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1399, decode.acc_seg: 94.5805, loss: 0.1399 2023-01-06 07:55:31,467 - mmseg - INFO - Iter [121800/160000] lr: 1.433e-05, eta: 2:41:28, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1462, decode.acc_seg: 94.2130, loss: 0.1462 2023-01-06 07:55:43,866 - mmseg - INFO - Iter [121850/160000] lr: 1.431e-05, eta: 2:41:15, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1334, decode.acc_seg: 94.7157, loss: 0.1334 2023-01-06 07:55:56,017 - mmseg - INFO - Iter [121900/160000] lr: 1.429e-05, eta: 2:41:02, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1399, decode.acc_seg: 94.4405, loss: 0.1399 2023-01-06 07:56:08,203 - mmseg - INFO - Iter [121950/160000] lr: 1.427e-05, eta: 2:40:50, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1350, decode.acc_seg: 94.6151, loss: 0.1350 2023-01-06 07:56:20,762 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 07:56:20,763 - mmseg - INFO - Iter [122000/160000] lr: 1.425e-05, eta: 2:40:37, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1408, decode.acc_seg: 94.5007, loss: 0.1408 2023-01-06 07:56:35,252 - mmseg - INFO - Iter [122050/160000] lr: 1.423e-05, eta: 2:40:25, time: 0.290, data_time: 0.057, memory: 9544, decode.loss_ce: 0.1451, decode.acc_seg: 94.3284, loss: 0.1451 2023-01-06 07:56:47,524 - mmseg - INFO - Iter [122100/160000] lr: 1.421e-05, eta: 2:40:12, time: 0.245, data_time: 0.015, memory: 9544, decode.loss_ce: 0.1465, decode.acc_seg: 94.4244, loss: 0.1465 2023-01-06 07:56:59,528 - mmseg - INFO - Iter [122150/160000] lr: 1.419e-05, eta: 2:39:59, time: 0.240, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1401, decode.acc_seg: 94.5134, loss: 0.1401 2023-01-06 07:57:11,722 - mmseg - INFO - Iter [122200/160000] lr: 1.418e-05, eta: 2:39:46, time: 0.244, data_time: 0.018, memory: 9544, decode.loss_ce: 0.1312, decode.acc_seg: 94.7585, loss: 0.1312 2023-01-06 07:57:23,846 - mmseg - INFO - Iter [122250/160000] lr: 1.416e-05, eta: 2:39:33, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1281, decode.acc_seg: 94.9210, loss: 0.1281 2023-01-06 07:57:36,341 - mmseg - INFO - Iter [122300/160000] lr: 1.414e-05, eta: 2:39:21, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1334, decode.acc_seg: 94.5753, loss: 0.1334 2023-01-06 07:57:48,649 - mmseg - INFO - Iter [122350/160000] lr: 1.412e-05, eta: 2:39:08, time: 0.247, data_time: 0.025, memory: 9544, decode.loss_ce: 0.1370, decode.acc_seg: 94.5066, loss: 0.1370 2023-01-06 07:58:03,252 - mmseg - INFO - Iter [122400/160000] lr: 1.410e-05, eta: 2:38:56, time: 0.292, data_time: 0.064, memory: 9544, decode.loss_ce: 0.1431, decode.acc_seg: 94.2656, loss: 0.1431 2023-01-06 07:58:15,458 - mmseg - INFO - Iter [122450/160000] lr: 1.408e-05, eta: 2:38:43, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1436, decode.acc_seg: 94.2997, loss: 0.1436 2023-01-06 07:58:27,770 - mmseg - INFO - Iter [122500/160000] lr: 1.406e-05, eta: 2:38:30, time: 0.246, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1340, decode.acc_seg: 94.6683, loss: 0.1340 2023-01-06 07:58:39,760 - mmseg - INFO - Iter [122550/160000] lr: 1.404e-05, eta: 2:38:17, time: 0.240, data_time: 0.019, memory: 9544, decode.loss_ce: 0.1361, decode.acc_seg: 94.7279, loss: 0.1361 2023-01-06 07:58:51,855 - mmseg - INFO - Iter [122600/160000] lr: 1.403e-05, eta: 2:38:04, time: 0.242, data_time: 0.018, memory: 9544, decode.loss_ce: 0.1395, decode.acc_seg: 94.5379, loss: 0.1395 2023-01-06 07:59:04,126 - mmseg - INFO - Iter [122650/160000] lr: 1.401e-05, eta: 2:37:52, time: 0.245, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1349, decode.acc_seg: 94.6288, loss: 0.1349 2023-01-06 07:59:16,520 - mmseg - INFO - Iter [122700/160000] lr: 1.399e-05, eta: 2:37:39, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1375, decode.acc_seg: 94.5561, loss: 0.1375 2023-01-06 07:59:28,652 - mmseg - INFO - Iter [122750/160000] lr: 1.397e-05, eta: 2:37:26, time: 0.243, data_time: 0.032, memory: 9544, decode.loss_ce: 0.1260, decode.acc_seg: 94.8971, loss: 0.1260 2023-01-06 07:59:43,350 - mmseg - INFO - Iter [122800/160000] lr: 1.395e-05, eta: 2:37:14, time: 0.293, data_time: 0.056, memory: 9544, decode.loss_ce: 0.1386, decode.acc_seg: 94.5157, loss: 0.1386 2023-01-06 07:59:55,731 - mmseg - INFO - Iter [122850/160000] lr: 1.393e-05, eta: 2:37:01, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1399, decode.acc_seg: 94.4763, loss: 0.1399 2023-01-06 08:00:08,012 - mmseg - INFO - Iter [122900/160000] lr: 1.391e-05, eta: 2:36:48, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1363, decode.acc_seg: 94.5545, loss: 0.1363 2023-01-06 08:00:20,273 - mmseg - INFO - Iter [122950/160000] lr: 1.389e-05, eta: 2:36:35, time: 0.245, data_time: 0.037, memory: 9544, decode.loss_ce: 0.1494, decode.acc_seg: 94.2317, loss: 0.1494 2023-01-06 08:00:32,423 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 08:00:32,424 - mmseg - INFO - Iter [123000/160000] lr: 1.388e-05, eta: 2:36:23, time: 0.243, data_time: 0.076, memory: 9544, decode.loss_ce: 0.1451, decode.acc_seg: 94.3972, loss: 0.1451 2023-01-06 08:00:44,819 - mmseg - INFO - Iter [123050/160000] lr: 1.386e-05, eta: 2:36:10, time: 0.248, data_time: 0.031, memory: 9544, decode.loss_ce: 0.1475, decode.acc_seg: 94.3031, loss: 0.1475 2023-01-06 08:00:56,936 - mmseg - INFO - Iter [123100/160000] lr: 1.384e-05, eta: 2:35:57, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1405, decode.acc_seg: 94.4134, loss: 0.1405 2023-01-06 08:01:11,510 - mmseg - INFO - Iter [123150/160000] lr: 1.382e-05, eta: 2:35:45, time: 0.291, data_time: 0.054, memory: 9544, decode.loss_ce: 0.1397, decode.acc_seg: 94.5060, loss: 0.1397 2023-01-06 08:01:24,088 - mmseg - INFO - Iter [123200/160000] lr: 1.380e-05, eta: 2:35:32, time: 0.252, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1399, decode.acc_seg: 94.6296, loss: 0.1399 2023-01-06 08:01:36,695 - mmseg - INFO - Iter [123250/160000] lr: 1.378e-05, eta: 2:35:19, time: 0.252, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1464, decode.acc_seg: 94.3398, loss: 0.1464 2023-01-06 08:01:48,913 - mmseg - INFO - Iter [123300/160000] lr: 1.376e-05, eta: 2:35:07, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1406, decode.acc_seg: 94.4106, loss: 0.1406 2023-01-06 08:02:01,100 - mmseg - INFO - Iter [123350/160000] lr: 1.374e-05, eta: 2:34:54, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1383, decode.acc_seg: 94.4447, loss: 0.1383 2023-01-06 08:02:13,433 - mmseg - INFO - Iter [123400/160000] lr: 1.373e-05, eta: 2:34:41, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1313, decode.acc_seg: 94.6684, loss: 0.1313 2023-01-06 08:02:25,541 - mmseg - INFO - Iter [123450/160000] lr: 1.371e-05, eta: 2:34:28, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1324, decode.acc_seg: 94.8634, loss: 0.1324 2023-01-06 08:02:37,776 - mmseg - INFO - Iter [123500/160000] lr: 1.369e-05, eta: 2:34:15, time: 0.244, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1358, decode.acc_seg: 94.5583, loss: 0.1358 2023-01-06 08:02:52,356 - mmseg - INFO - Iter [123550/160000] lr: 1.367e-05, eta: 2:34:03, time: 0.291, data_time: 0.086, memory: 9544, decode.loss_ce: 0.1400, decode.acc_seg: 94.4234, loss: 0.1400 2023-01-06 08:03:04,578 - mmseg - INFO - Iter [123600/160000] lr: 1.365e-05, eta: 2:33:50, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1392, decode.acc_seg: 94.4934, loss: 0.1392 2023-01-06 08:03:16,829 - mmseg - INFO - Iter [123650/160000] lr: 1.363e-05, eta: 2:33:38, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1370, decode.acc_seg: 94.4450, loss: 0.1370 2023-01-06 08:03:29,213 - mmseg - INFO - Iter [123700/160000] lr: 1.361e-05, eta: 2:33:25, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1371, decode.acc_seg: 94.5710, loss: 0.1371 2023-01-06 08:03:41,826 - mmseg - INFO - Iter [123750/160000] lr: 1.359e-05, eta: 2:33:12, time: 0.252, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1403, decode.acc_seg: 94.5804, loss: 0.1403 2023-01-06 08:03:54,226 - mmseg - INFO - Iter [123800/160000] lr: 1.358e-05, eta: 2:32:59, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1358, decode.acc_seg: 94.6346, loss: 0.1358 2023-01-06 08:04:06,648 - mmseg - INFO - Iter [123850/160000] lr: 1.356e-05, eta: 2:32:47, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1315, decode.acc_seg: 94.8054, loss: 0.1315 2023-01-06 08:04:21,203 - mmseg - INFO - Iter [123900/160000] lr: 1.354e-05, eta: 2:32:35, time: 0.291, data_time: 0.059, memory: 9544, decode.loss_ce: 0.1335, decode.acc_seg: 94.6842, loss: 0.1335 2023-01-06 08:04:33,531 - mmseg - INFO - Iter [123950/160000] lr: 1.352e-05, eta: 2:32:22, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1478, decode.acc_seg: 94.1955, loss: 0.1478 2023-01-06 08:04:45,811 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 08:04:45,812 - mmseg - INFO - Iter [124000/160000] lr: 1.350e-05, eta: 2:32:09, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1425, decode.acc_seg: 94.4283, loss: 0.1425 2023-01-06 08:04:58,025 - mmseg - INFO - Iter [124050/160000] lr: 1.348e-05, eta: 2:31:56, time: 0.244, data_time: 0.017, memory: 9544, decode.loss_ce: 0.1432, decode.acc_seg: 94.3345, loss: 0.1432 2023-01-06 08:05:10,232 - mmseg - INFO - Iter [124100/160000] lr: 1.346e-05, eta: 2:31:43, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1312, decode.acc_seg: 94.6551, loss: 0.1312 2023-01-06 08:05:22,517 - mmseg - INFO - Iter [124150/160000] lr: 1.344e-05, eta: 2:31:31, time: 0.246, data_time: 0.014, memory: 9544, decode.loss_ce: 0.1395, decode.acc_seg: 94.4393, loss: 0.1395 2023-01-06 08:05:34,739 - mmseg - INFO - Iter [124200/160000] lr: 1.343e-05, eta: 2:31:18, time: 0.245, data_time: 0.029, memory: 9544, decode.loss_ce: 0.1327, decode.acc_seg: 94.7103, loss: 0.1327 2023-01-06 08:05:49,508 - mmseg - INFO - Iter [124250/160000] lr: 1.341e-05, eta: 2:31:06, time: 0.295, data_time: 0.058, memory: 9544, decode.loss_ce: 0.1385, decode.acc_seg: 94.5102, loss: 0.1385 2023-01-06 08:06:01,858 - mmseg - INFO - Iter [124300/160000] lr: 1.339e-05, eta: 2:30:53, time: 0.247, data_time: 0.035, memory: 9544, decode.loss_ce: 0.1427, decode.acc_seg: 94.4264, loss: 0.1427 2023-01-06 08:06:14,179 - mmseg - INFO - Iter [124350/160000] lr: 1.337e-05, eta: 2:30:40, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1389, decode.acc_seg: 94.5840, loss: 0.1389 2023-01-06 08:06:26,257 - mmseg - INFO - Iter [124400/160000] lr: 1.335e-05, eta: 2:30:27, time: 0.241, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1355, decode.acc_seg: 94.6985, loss: 0.1355 2023-01-06 08:06:38,668 - mmseg - INFO - Iter [124450/160000] lr: 1.333e-05, eta: 2:30:14, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1338, decode.acc_seg: 94.6456, loss: 0.1338 2023-01-06 08:06:50,911 - mmseg - INFO - Iter [124500/160000] lr: 1.331e-05, eta: 2:30:02, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1407, decode.acc_seg: 94.5324, loss: 0.1407 2023-01-06 08:07:03,013 - mmseg - INFO - Iter [124550/160000] lr: 1.329e-05, eta: 2:29:49, time: 0.242, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1268, decode.acc_seg: 94.7824, loss: 0.1268 2023-01-06 08:07:15,234 - mmseg - INFO - Iter [124600/160000] lr: 1.328e-05, eta: 2:29:36, time: 0.245, data_time: 0.017, memory: 9544, decode.loss_ce: 0.1384, decode.acc_seg: 94.5307, loss: 0.1384 2023-01-06 08:07:29,812 - mmseg - INFO - Iter [124650/160000] lr: 1.326e-05, eta: 2:29:24, time: 0.292, data_time: 0.064, memory: 9544, decode.loss_ce: 0.1558, decode.acc_seg: 94.2482, loss: 0.1558 2023-01-06 08:07:42,100 - mmseg - INFO - Iter [124700/160000] lr: 1.324e-05, eta: 2:29:11, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1317, decode.acc_seg: 94.6890, loss: 0.1317 2023-01-06 08:07:54,476 - mmseg - INFO - Iter [124750/160000] lr: 1.322e-05, eta: 2:28:58, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1405, decode.acc_seg: 94.3783, loss: 0.1405 2023-01-06 08:08:06,791 - mmseg - INFO - Iter [124800/160000] lr: 1.320e-05, eta: 2:28:46, time: 0.246, data_time: 0.014, memory: 9544, decode.loss_ce: 0.1416, decode.acc_seg: 94.2758, loss: 0.1416 2023-01-06 08:08:19,339 - mmseg - INFO - Iter [124850/160000] lr: 1.318e-05, eta: 2:28:33, time: 0.251, data_time: 0.039, memory: 9544, decode.loss_ce: 0.1372, decode.acc_seg: 94.5034, loss: 0.1372 2023-01-06 08:08:31,282 - mmseg - INFO - Iter [124900/160000] lr: 1.316e-05, eta: 2:28:20, time: 0.239, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1374, decode.acc_seg: 94.4147, loss: 0.1374 2023-01-06 08:08:43,582 - mmseg - INFO - Iter [124950/160000] lr: 1.314e-05, eta: 2:28:07, time: 0.246, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1387, decode.acc_seg: 94.4162, loss: 0.1387 2023-01-06 08:08:58,147 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 08:08:58,148 - mmseg - INFO - Iter [125000/160000] lr: 1.313e-05, eta: 2:27:55, time: 0.291, data_time: 0.059, memory: 9544, decode.loss_ce: 0.1429, decode.acc_seg: 94.2700, loss: 0.1429 2023-01-06 08:09:10,654 - mmseg - INFO - Iter [125050/160000] lr: 1.311e-05, eta: 2:27:42, time: 0.250, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1396, decode.acc_seg: 94.3786, loss: 0.1396 2023-01-06 08:09:22,744 - mmseg - INFO - Iter [125100/160000] lr: 1.309e-05, eta: 2:27:29, time: 0.242, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1371, decode.acc_seg: 94.5496, loss: 0.1371 2023-01-06 08:09:34,908 - mmseg - INFO - Iter [125150/160000] lr: 1.307e-05, eta: 2:27:17, time: 0.243, data_time: 0.022, memory: 9544, decode.loss_ce: 0.1345, decode.acc_seg: 94.6614, loss: 0.1345 2023-01-06 08:09:47,105 - mmseg - INFO - Iter [125200/160000] lr: 1.305e-05, eta: 2:27:04, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1420, decode.acc_seg: 94.5169, loss: 0.1420 2023-01-06 08:09:59,479 - mmseg - INFO - Iter [125250/160000] lr: 1.303e-05, eta: 2:26:51, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1445, decode.acc_seg: 94.2886, loss: 0.1445 2023-01-06 08:10:11,884 - mmseg - INFO - Iter [125300/160000] lr: 1.301e-05, eta: 2:26:38, time: 0.248, data_time: 0.033, memory: 9544, decode.loss_ce: 0.1393, decode.acc_seg: 94.5396, loss: 0.1393 2023-01-06 08:10:23,956 - mmseg - INFO - Iter [125350/160000] lr: 1.299e-05, eta: 2:26:25, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1310, decode.acc_seg: 94.7814, loss: 0.1310 2023-01-06 08:10:38,651 - mmseg - INFO - Iter [125400/160000] lr: 1.298e-05, eta: 2:26:13, time: 0.294, data_time: 0.064, memory: 9544, decode.loss_ce: 0.1397, decode.acc_seg: 94.5128, loss: 0.1397 2023-01-06 08:10:50,898 - mmseg - INFO - Iter [125450/160000] lr: 1.296e-05, eta: 2:26:01, time: 0.245, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1441, decode.acc_seg: 94.3757, loss: 0.1441 2023-01-06 08:11:03,146 - mmseg - INFO - Iter [125500/160000] lr: 1.294e-05, eta: 2:25:48, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1328, decode.acc_seg: 94.6187, loss: 0.1328 2023-01-06 08:11:15,532 - mmseg - INFO - Iter [125550/160000] lr: 1.292e-05, eta: 2:25:35, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1351, decode.acc_seg: 94.7077, loss: 0.1351 2023-01-06 08:11:27,772 - mmseg - INFO - Iter [125600/160000] lr: 1.290e-05, eta: 2:25:22, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1358, decode.acc_seg: 94.5682, loss: 0.1358 2023-01-06 08:11:39,924 - mmseg - INFO - Iter [125650/160000] lr: 1.288e-05, eta: 2:25:09, time: 0.243, data_time: 0.022, memory: 9544, decode.loss_ce: 0.1396, decode.acc_seg: 94.5122, loss: 0.1396 2023-01-06 08:11:52,141 - mmseg - INFO - Iter [125700/160000] lr: 1.286e-05, eta: 2:24:57, time: 0.245, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1387, decode.acc_seg: 94.4560, loss: 0.1387 2023-01-06 08:12:07,064 - mmseg - INFO - Iter [125750/160000] lr: 1.284e-05, eta: 2:24:44, time: 0.299, data_time: 0.057, memory: 9544, decode.loss_ce: 0.1338, decode.acc_seg: 94.6998, loss: 0.1338 2023-01-06 08:12:19,227 - mmseg - INFO - Iter [125800/160000] lr: 1.283e-05, eta: 2:24:32, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1273, decode.acc_seg: 94.8753, loss: 0.1273 2023-01-06 08:12:31,388 - mmseg - INFO - Iter [125850/160000] lr: 1.281e-05, eta: 2:24:19, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1334, decode.acc_seg: 94.6710, loss: 0.1334 2023-01-06 08:12:43,596 - mmseg - INFO - Iter [125900/160000] lr: 1.279e-05, eta: 2:24:06, time: 0.244, data_time: 0.017, memory: 9544, decode.loss_ce: 0.1380, decode.acc_seg: 94.5257, loss: 0.1380 2023-01-06 08:12:55,780 - mmseg - INFO - Iter [125950/160000] lr: 1.277e-05, eta: 2:23:53, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1405, decode.acc_seg: 94.6224, loss: 0.1405 2023-01-06 08:13:08,203 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 08:13:08,204 - mmseg - INFO - Iter [126000/160000] lr: 1.275e-05, eta: 2:23:40, time: 0.248, data_time: 0.018, memory: 9544, decode.loss_ce: 0.1373, decode.acc_seg: 94.7420, loss: 0.1373 2023-01-06 08:13:20,447 - mmseg - INFO - Iter [126050/160000] lr: 1.273e-05, eta: 2:23:28, time: 0.245, data_time: 0.018, memory: 9544, decode.loss_ce: 0.1274, decode.acc_seg: 95.0385, loss: 0.1274 2023-01-06 08:13:32,555 - mmseg - INFO - Iter [126100/160000] lr: 1.271e-05, eta: 2:23:15, time: 0.242, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1319, decode.acc_seg: 94.7353, loss: 0.1319 2023-01-06 08:13:47,041 - mmseg - INFO - Iter [126150/160000] lr: 1.269e-05, eta: 2:23:03, time: 0.290, data_time: 0.055, memory: 9544, decode.loss_ce: 0.1348, decode.acc_seg: 94.6847, loss: 0.1348 2023-01-06 08:13:59,289 - mmseg - INFO - Iter [126200/160000] lr: 1.268e-05, eta: 2:22:50, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1424, decode.acc_seg: 94.3897, loss: 0.1424 2023-01-06 08:14:11,604 - mmseg - INFO - Iter [126250/160000] lr: 1.266e-05, eta: 2:22:37, time: 0.246, data_time: 0.022, memory: 9544, decode.loss_ce: 0.1324, decode.acc_seg: 94.8737, loss: 0.1324 2023-01-06 08:14:23,872 - mmseg - INFO - Iter [126300/160000] lr: 1.264e-05, eta: 2:22:24, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1465, decode.acc_seg: 94.2224, loss: 0.1465 2023-01-06 08:14:36,048 - mmseg - INFO - Iter [126350/160000] lr: 1.262e-05, eta: 2:22:11, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1196, decode.acc_seg: 95.1580, loss: 0.1196 2023-01-06 08:14:48,305 - mmseg - INFO - Iter [126400/160000] lr: 1.260e-05, eta: 2:21:59, time: 0.246, data_time: 0.067, memory: 9544, decode.loss_ce: 0.1350, decode.acc_seg: 94.5335, loss: 0.1350 2023-01-06 08:15:00,649 - mmseg - INFO - Iter [126450/160000] lr: 1.258e-05, eta: 2:21:46, time: 0.247, data_time: 0.082, memory: 9544, decode.loss_ce: 0.1475, decode.acc_seg: 94.1677, loss: 0.1475 2023-01-06 08:15:15,201 - mmseg - INFO - Iter [126500/160000] lr: 1.256e-05, eta: 2:21:34, time: 0.291, data_time: 0.098, memory: 9544, decode.loss_ce: 0.1366, decode.acc_seg: 94.5083, loss: 0.1366 2023-01-06 08:15:27,705 - mmseg - INFO - Iter [126550/160000] lr: 1.254e-05, eta: 2:21:21, time: 0.250, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1395, decode.acc_seg: 94.5465, loss: 0.1395 2023-01-06 08:15:39,927 - mmseg - INFO - Iter [126600/160000] lr: 1.253e-05, eta: 2:21:08, time: 0.245, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1312, decode.acc_seg: 94.7946, loss: 0.1312 2023-01-06 08:15:52,002 - mmseg - INFO - Iter [126650/160000] lr: 1.251e-05, eta: 2:20:55, time: 0.241, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1307, decode.acc_seg: 94.7855, loss: 0.1307 2023-01-06 08:16:04,364 - mmseg - INFO - Iter [126700/160000] lr: 1.249e-05, eta: 2:20:43, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1347, decode.acc_seg: 94.6547, loss: 0.1347 2023-01-06 08:16:16,761 - mmseg - INFO - Iter [126750/160000] lr: 1.247e-05, eta: 2:20:30, time: 0.248, data_time: 0.032, memory: 9544, decode.loss_ce: 0.1451, decode.acc_seg: 94.2853, loss: 0.1451 2023-01-06 08:16:29,148 - mmseg - INFO - Iter [126800/160000] lr: 1.245e-05, eta: 2:20:17, time: 0.248, data_time: 0.020, memory: 9544, decode.loss_ce: 0.1412, decode.acc_seg: 94.4173, loss: 0.1412 2023-01-06 08:16:41,607 - mmseg - INFO - Iter [126850/160000] lr: 1.243e-05, eta: 2:20:04, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1325, decode.acc_seg: 94.7408, loss: 0.1325 2023-01-06 08:16:56,168 - mmseg - INFO - Iter [126900/160000] lr: 1.241e-05, eta: 2:19:52, time: 0.291, data_time: 0.057, memory: 9544, decode.loss_ce: 0.1422, decode.acc_seg: 94.3249, loss: 0.1422 2023-01-06 08:17:08,346 - mmseg - INFO - Iter [126950/160000] lr: 1.239e-05, eta: 2:19:39, time: 0.243, data_time: 0.037, memory: 9544, decode.loss_ce: 0.1355, decode.acc_seg: 94.7464, loss: 0.1355 2023-01-06 08:17:20,674 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 08:17:20,675 - mmseg - INFO - Iter [127000/160000] lr: 1.238e-05, eta: 2:19:27, time: 0.247, data_time: 0.082, memory: 9544, decode.loss_ce: 0.1369, decode.acc_seg: 94.6505, loss: 0.1369 2023-01-06 08:17:32,910 - mmseg - INFO - Iter [127050/160000] lr: 1.236e-05, eta: 2:19:14, time: 0.245, data_time: 0.033, memory: 9544, decode.loss_ce: 0.1483, decode.acc_seg: 94.1011, loss: 0.1483 2023-01-06 08:17:45,200 - mmseg - INFO - Iter [127100/160000] lr: 1.234e-05, eta: 2:19:01, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1492, decode.acc_seg: 94.3335, loss: 0.1492 2023-01-06 08:17:57,649 - mmseg - INFO - Iter [127150/160000] lr: 1.232e-05, eta: 2:18:48, time: 0.249, data_time: 0.043, memory: 9544, decode.loss_ce: 0.1459, decode.acc_seg: 94.4082, loss: 0.1459 2023-01-06 08:18:10,038 - mmseg - INFO - Iter [127200/160000] lr: 1.230e-05, eta: 2:18:36, time: 0.248, data_time: 0.085, memory: 9544, decode.loss_ce: 0.1367, decode.acc_seg: 94.6169, loss: 0.1367 2023-01-06 08:18:24,646 - mmseg - INFO - Iter [127250/160000] lr: 1.228e-05, eta: 2:18:23, time: 0.292, data_time: 0.092, memory: 9544, decode.loss_ce: 0.1249, decode.acc_seg: 95.0620, loss: 0.1249 2023-01-06 08:18:36,740 - mmseg - INFO - Iter [127300/160000] lr: 1.226e-05, eta: 2:18:11, time: 0.242, data_time: 0.042, memory: 9544, decode.loss_ce: 0.1288, decode.acc_seg: 94.7446, loss: 0.1288 2023-01-06 08:18:48,765 - mmseg - INFO - Iter [127350/160000] lr: 1.224e-05, eta: 2:17:58, time: 0.241, data_time: 0.026, memory: 9544, decode.loss_ce: 0.1356, decode.acc_seg: 94.5698, loss: 0.1356 2023-01-06 08:19:00,937 - mmseg - INFO - Iter [127400/160000] lr: 1.223e-05, eta: 2:17:45, time: 0.243, data_time: 0.021, memory: 9544, decode.loss_ce: 0.1376, decode.acc_seg: 94.6245, loss: 0.1376 2023-01-06 08:19:13,198 - mmseg - INFO - Iter [127450/160000] lr: 1.221e-05, eta: 2:17:32, time: 0.245, data_time: 0.023, memory: 9544, decode.loss_ce: 0.1337, decode.acc_seg: 94.5576, loss: 0.1337 2023-01-06 08:19:25,750 - mmseg - INFO - Iter [127500/160000] lr: 1.219e-05, eta: 2:17:19, time: 0.251, data_time: 0.018, memory: 9544, decode.loss_ce: 0.1269, decode.acc_seg: 94.9304, loss: 0.1269 2023-01-06 08:19:38,377 - mmseg - INFO - Iter [127550/160000] lr: 1.217e-05, eta: 2:17:07, time: 0.253, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1391, decode.acc_seg: 94.5131, loss: 0.1391 2023-01-06 08:19:53,359 - mmseg - INFO - Iter [127600/160000] lr: 1.215e-05, eta: 2:16:55, time: 0.299, data_time: 0.056, memory: 9544, decode.loss_ce: 0.1376, decode.acc_seg: 94.4185, loss: 0.1376 2023-01-06 08:20:06,004 - mmseg - INFO - Iter [127650/160000] lr: 1.213e-05, eta: 2:16:42, time: 0.253, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1388, decode.acc_seg: 94.4305, loss: 0.1388 2023-01-06 08:20:18,311 - mmseg - INFO - Iter [127700/160000] lr: 1.211e-05, eta: 2:16:29, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1356, decode.acc_seg: 94.5471, loss: 0.1356 2023-01-06 08:20:30,872 - mmseg - INFO - Iter [127750/160000] lr: 1.209e-05, eta: 2:16:16, time: 0.251, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1367, decode.acc_seg: 94.5142, loss: 0.1367 2023-01-06 08:20:43,293 - mmseg - INFO - Iter [127800/160000] lr: 1.208e-05, eta: 2:16:04, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1341, decode.acc_seg: 94.6292, loss: 0.1341 2023-01-06 08:20:55,815 - mmseg - INFO - Iter [127850/160000] lr: 1.206e-05, eta: 2:15:51, time: 0.250, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1401, decode.acc_seg: 94.5096, loss: 0.1401 2023-01-06 08:21:08,292 - mmseg - INFO - Iter [127900/160000] lr: 1.204e-05, eta: 2:15:38, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1391, decode.acc_seg: 94.5846, loss: 0.1391 2023-01-06 08:21:20,606 - mmseg - INFO - Iter [127950/160000] lr: 1.202e-05, eta: 2:15:26, time: 0.246, data_time: 0.045, memory: 9544, decode.loss_ce: 0.1273, decode.acc_seg: 94.9315, loss: 0.1273 2023-01-06 08:21:35,150 - mmseg - INFO - Saving checkpoint at 128000 iterations 2023-01-06 08:21:36,196 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 08:21:36,196 - mmseg - INFO - Iter [128000/160000] lr: 1.200e-05, eta: 2:15:14, time: 0.312, data_time: 0.107, memory: 9544, decode.loss_ce: 0.1296, decode.acc_seg: 94.7514, loss: 0.1296 2023-01-06 08:21:54,436 - mmseg - INFO - per class results: 2023-01-06 08:21:54,438 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 97.13 | 98.19 | | sidewalk | 77.75 | 89.89 | | building | 89.28 | 94.84 | | wall | 45.36 | 53.3 | | fence | 44.31 | 56.6 | | pole | 53.39 | 64.94 | | traffic light | 54.16 | 65.34 | | traffic sign | 67.02 | 73.95 | | vegetation | 90.92 | 96.17 | | terrain | 56.69 | 64.84 | | sky | 92.89 | 98.05 | | person | 70.77 | 84.95 | | rider | 41.95 | 57.84 | | car | 90.9 | 96.84 | | truck | 33.03 | 36.92 | | bus | 54.8 | 70.65 | | train | 42.12 | 59.14 | | motorcycle | 35.23 | 43.66 | | bicycle | 67.27 | 82.31 | +---------------+-------+-------+ 2023-01-06 08:21:54,439 - mmseg - INFO - Summary: 2023-01-06 08:21:54,439 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 94.15 | 63.42 | 73.08 | +-------+-------+-------+ 2023-01-06 08:21:54,440 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 08:21:54,440 - mmseg - INFO - Iter(val) [63] aAcc: 0.9415, mIoU: 0.6342, mAcc: 0.7308, IoU.road: 0.9713, IoU.sidewalk: 0.7775, IoU.building: 0.8928, IoU.wall: 0.4536, IoU.fence: 0.4431, IoU.pole: 0.5339, IoU.traffic light: 0.5416, IoU.traffic sign: 0.6702, IoU.vegetation: 0.9092, IoU.terrain: 0.5669, IoU.sky: 0.9289, IoU.person: 0.7077, IoU.rider: 0.4195, IoU.car: 0.9090, IoU.truck: 0.3303, IoU.bus: 0.5480, IoU.train: 0.4212, IoU.motorcycle: 0.3523, IoU.bicycle: 0.6727, Acc.road: 0.9819, Acc.sidewalk: 0.8989, Acc.building: 0.9484, Acc.wall: 0.5330, Acc.fence: 0.5660, Acc.pole: 0.6494, Acc.traffic light: 0.6534, Acc.traffic sign: 0.7395, Acc.vegetation: 0.9617, Acc.terrain: 0.6484, Acc.sky: 0.9805, Acc.person: 0.8495, Acc.rider: 0.5784, Acc.car: 0.9684, Acc.truck: 0.3692, Acc.bus: 0.7065, Acc.train: 0.5914, Acc.motorcycle: 0.4366, Acc.bicycle: 0.8231 2023-01-06 08:22:06,453 - mmseg - INFO - Iter [128050/160000] lr: 1.198e-05, eta: 2:15:05, time: 0.605, data_time: 0.427, memory: 9544, decode.loss_ce: 0.1295, decode.acc_seg: 94.7990, loss: 0.1295 2023-01-06 08:22:18,677 - mmseg - INFO - Iter [128100/160000] lr: 1.196e-05, eta: 2:14:52, time: 0.244, data_time: 0.028, memory: 9544, decode.loss_ce: 0.1432, decode.acc_seg: 94.4771, loss: 0.1432 2023-01-06 08:22:30,781 - mmseg - INFO - Iter [128150/160000] lr: 1.194e-05, eta: 2:14:40, time: 0.242, data_time: 0.025, memory: 9544, decode.loss_ce: 0.1325, decode.acc_seg: 94.7612, loss: 0.1325 2023-01-06 08:22:43,092 - mmseg - INFO - Iter [128200/160000] lr: 1.193e-05, eta: 2:14:27, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1401, decode.acc_seg: 94.5386, loss: 0.1401 2023-01-06 08:22:55,241 - mmseg - INFO - Iter [128250/160000] lr: 1.191e-05, eta: 2:14:14, time: 0.243, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1385, decode.acc_seg: 94.4671, loss: 0.1385 2023-01-06 08:23:07,463 - mmseg - INFO - Iter [128300/160000] lr: 1.189e-05, eta: 2:14:01, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1384, decode.acc_seg: 94.5982, loss: 0.1384 2023-01-06 08:23:21,983 - mmseg - INFO - Iter [128350/160000] lr: 1.187e-05, eta: 2:13:49, time: 0.291, data_time: 0.057, memory: 9544, decode.loss_ce: 0.1247, decode.acc_seg: 95.0593, loss: 0.1247 2023-01-06 08:23:34,157 - mmseg - INFO - Iter [128400/160000] lr: 1.185e-05, eta: 2:13:36, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1328, decode.acc_seg: 94.7419, loss: 0.1328 2023-01-06 08:23:46,484 - mmseg - INFO - Iter [128450/160000] lr: 1.183e-05, eta: 2:13:23, time: 0.247, data_time: 0.068, memory: 9544, decode.loss_ce: 0.1387, decode.acc_seg: 94.5533, loss: 0.1387 2023-01-06 08:23:58,675 - mmseg - INFO - Iter [128500/160000] lr: 1.181e-05, eta: 2:13:11, time: 0.244, data_time: 0.062, memory: 9544, decode.loss_ce: 0.1502, decode.acc_seg: 94.1945, loss: 0.1502 2023-01-06 08:24:10,869 - mmseg - INFO - Iter [128550/160000] lr: 1.179e-05, eta: 2:12:58, time: 0.243, data_time: 0.033, memory: 9544, decode.loss_ce: 0.1326, decode.acc_seg: 94.7169, loss: 0.1326 2023-01-06 08:24:23,174 - mmseg - INFO - Iter [128600/160000] lr: 1.178e-05, eta: 2:12:45, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1296, decode.acc_seg: 94.7107, loss: 0.1296 2023-01-06 08:24:35,307 - mmseg - INFO - Iter [128650/160000] lr: 1.176e-05, eta: 2:12:32, time: 0.243, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1354, decode.acc_seg: 94.5300, loss: 0.1354 2023-01-06 08:24:47,852 - mmseg - INFO - Iter [128700/160000] lr: 1.174e-05, eta: 2:12:20, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1335, decode.acc_seg: 94.7328, loss: 0.1335 2023-01-06 08:25:02,594 - mmseg - INFO - Iter [128750/160000] lr: 1.172e-05, eta: 2:12:07, time: 0.295, data_time: 0.055, memory: 9544, decode.loss_ce: 0.1401, decode.acc_seg: 94.3758, loss: 0.1401 2023-01-06 08:25:14,765 - mmseg - INFO - Iter [128800/160000] lr: 1.170e-05, eta: 2:11:55, time: 0.243, data_time: 0.019, memory: 9544, decode.loss_ce: 0.1331, decode.acc_seg: 94.5968, loss: 0.1331 2023-01-06 08:25:27,196 - mmseg - INFO - Iter [128850/160000] lr: 1.168e-05, eta: 2:11:42, time: 0.249, data_time: 0.026, memory: 9544, decode.loss_ce: 0.1451, decode.acc_seg: 94.2668, loss: 0.1451 2023-01-06 08:25:39,295 - mmseg - INFO - Iter [128900/160000] lr: 1.166e-05, eta: 2:11:29, time: 0.242, data_time: 0.052, memory: 9544, decode.loss_ce: 0.1449, decode.acc_seg: 94.4445, loss: 0.1449 2023-01-06 08:25:51,611 - mmseg - INFO - Iter [128950/160000] lr: 1.164e-05, eta: 2:11:16, time: 0.246, data_time: 0.067, memory: 9544, decode.loss_ce: 0.1402, decode.acc_seg: 94.5049, loss: 0.1402 2023-01-06 08:26:04,062 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 08:26:04,062 - mmseg - INFO - Iter [129000/160000] lr: 1.163e-05, eta: 2:11:03, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1256, decode.acc_seg: 94.9715, loss: 0.1256 2023-01-06 08:26:16,712 - mmseg - INFO - Iter [129050/160000] lr: 1.161e-05, eta: 2:10:51, time: 0.253, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1408, decode.acc_seg: 94.5826, loss: 0.1408 2023-01-06 08:26:31,182 - mmseg - INFO - Iter [129100/160000] lr: 1.159e-05, eta: 2:10:38, time: 0.289, data_time: 0.057, memory: 9544, decode.loss_ce: 0.1306, decode.acc_seg: 94.8541, loss: 0.1306 2023-01-06 08:26:43,422 - mmseg - INFO - Iter [129150/160000] lr: 1.157e-05, eta: 2:10:26, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1395, decode.acc_seg: 94.4877, loss: 0.1395 2023-01-06 08:26:55,762 - mmseg - INFO - Iter [129200/160000] lr: 1.155e-05, eta: 2:10:13, time: 0.247, data_time: 0.015, memory: 9544, decode.loss_ce: 0.1354, decode.acc_seg: 94.6182, loss: 0.1354 2023-01-06 08:27:07,979 - mmseg - INFO - Iter [129250/160000] lr: 1.153e-05, eta: 2:10:00, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1353, decode.acc_seg: 94.6953, loss: 0.1353 2023-01-06 08:27:20,223 - mmseg - INFO - Iter [129300/160000] lr: 1.151e-05, eta: 2:09:47, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1504, decode.acc_seg: 94.1672, loss: 0.1504 2023-01-06 08:27:32,417 - mmseg - INFO - Iter [129350/160000] lr: 1.149e-05, eta: 2:09:35, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1382, decode.acc_seg: 94.4279, loss: 0.1382 2023-01-06 08:27:44,504 - mmseg - INFO - Iter [129400/160000] lr: 1.148e-05, eta: 2:09:22, time: 0.242, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1328, decode.acc_seg: 94.6693, loss: 0.1328 2023-01-06 08:27:56,916 - mmseg - INFO - Iter [129450/160000] lr: 1.146e-05, eta: 2:09:09, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1230, decode.acc_seg: 95.0481, loss: 0.1230 2023-01-06 08:28:11,381 - mmseg - INFO - Iter [129500/160000] lr: 1.144e-05, eta: 2:08:57, time: 0.290, data_time: 0.066, memory: 9544, decode.loss_ce: 0.1352, decode.acc_seg: 94.5036, loss: 0.1352 2023-01-06 08:28:23,803 - mmseg - INFO - Iter [129550/160000] lr: 1.142e-05, eta: 2:08:44, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1370, decode.acc_seg: 94.5073, loss: 0.1370 2023-01-06 08:28:36,025 - mmseg - INFO - Iter [129600/160000] lr: 1.140e-05, eta: 2:08:31, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1350, decode.acc_seg: 94.8282, loss: 0.1350 2023-01-06 08:28:48,925 - mmseg - INFO - Iter [129650/160000] lr: 1.138e-05, eta: 2:08:19, time: 0.258, data_time: 0.033, memory: 9544, decode.loss_ce: 0.1477, decode.acc_seg: 94.1854, loss: 0.1477 2023-01-06 08:29:01,243 - mmseg - INFO - Iter [129700/160000] lr: 1.136e-05, eta: 2:08:06, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1378, decode.acc_seg: 94.5689, loss: 0.1378 2023-01-06 08:29:13,631 - mmseg - INFO - Iter [129750/160000] lr: 1.134e-05, eta: 2:07:53, time: 0.247, data_time: 0.029, memory: 9544, decode.loss_ce: 0.1356, decode.acc_seg: 94.6761, loss: 0.1356 2023-01-06 08:29:25,956 - mmseg - INFO - Iter [129800/160000] lr: 1.133e-05, eta: 2:07:40, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1438, decode.acc_seg: 94.2899, loss: 0.1438 2023-01-06 08:29:40,656 - mmseg - INFO - Iter [129850/160000] lr: 1.131e-05, eta: 2:07:28, time: 0.294, data_time: 0.066, memory: 9544, decode.loss_ce: 0.1433, decode.acc_seg: 94.3744, loss: 0.1433 2023-01-06 08:29:52,690 - mmseg - INFO - Iter [129900/160000] lr: 1.129e-05, eta: 2:07:15, time: 0.241, data_time: 0.036, memory: 9544, decode.loss_ce: 0.1373, decode.acc_seg: 94.6000, loss: 0.1373 2023-01-06 08:30:04,683 - mmseg - INFO - Iter [129950/160000] lr: 1.127e-05, eta: 2:07:02, time: 0.240, data_time: 0.016, memory: 9544, decode.loss_ce: 0.1433, decode.acc_seg: 94.2957, loss: 0.1433 2023-01-06 08:30:17,239 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 08:30:17,239 - mmseg - INFO - Iter [130000/160000] lr: 1.125e-05, eta: 2:06:50, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1356, decode.acc_seg: 94.7462, loss: 0.1356 2023-01-06 08:30:29,513 - mmseg - INFO - Iter [130050/160000] lr: 1.123e-05, eta: 2:06:37, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1289, decode.acc_seg: 94.8558, loss: 0.1289 2023-01-06 08:30:42,011 - mmseg - INFO - Iter [130100/160000] lr: 1.121e-05, eta: 2:06:24, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1334, decode.acc_seg: 94.6303, loss: 0.1334 2023-01-06 08:30:54,333 - mmseg - INFO - Iter [130150/160000] lr: 1.119e-05, eta: 2:06:11, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1346, decode.acc_seg: 94.6087, loss: 0.1346 2023-01-06 08:31:06,585 - mmseg - INFO - Iter [130200/160000] lr: 1.118e-05, eta: 2:05:59, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1408, decode.acc_seg: 94.4157, loss: 0.1408 2023-01-06 08:31:21,445 - mmseg - INFO - Iter [130250/160000] lr: 1.116e-05, eta: 2:05:46, time: 0.297, data_time: 0.056, memory: 9544, decode.loss_ce: 0.1550, decode.acc_seg: 94.1194, loss: 0.1550 2023-01-06 08:31:33,673 - mmseg - INFO - Iter [130300/160000] lr: 1.114e-05, eta: 2:05:34, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1292, decode.acc_seg: 94.7555, loss: 0.1292 2023-01-06 08:31:46,100 - mmseg - INFO - Iter [130350/160000] lr: 1.112e-05, eta: 2:05:21, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1365, decode.acc_seg: 94.5707, loss: 0.1365 2023-01-06 08:31:58,334 - mmseg - INFO - Iter [130400/160000] lr: 1.110e-05, eta: 2:05:08, time: 0.244, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1271, decode.acc_seg: 94.9504, loss: 0.1271 2023-01-06 08:32:10,304 - mmseg - INFO - Iter [130450/160000] lr: 1.108e-05, eta: 2:04:55, time: 0.240, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1317, decode.acc_seg: 94.6622, loss: 0.1317 2023-01-06 08:32:22,482 - mmseg - INFO - Iter [130500/160000] lr: 1.106e-05, eta: 2:04:42, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1254, decode.acc_seg: 94.9674, loss: 0.1254 2023-01-06 08:32:34,661 - mmseg - INFO - Iter [130550/160000] lr: 1.104e-05, eta: 2:04:30, time: 0.244, data_time: 0.027, memory: 9544, decode.loss_ce: 0.1409, decode.acc_seg: 94.3611, loss: 0.1409 2023-01-06 08:32:49,028 - mmseg - INFO - Iter [130600/160000] lr: 1.103e-05, eta: 2:04:17, time: 0.287, data_time: 0.108, memory: 9544, decode.loss_ce: 0.1306, decode.acc_seg: 94.7305, loss: 0.1306 2023-01-06 08:33:01,183 - mmseg - INFO - Iter [130650/160000] lr: 1.101e-05, eta: 2:04:05, time: 0.243, data_time: 0.072, memory: 9544, decode.loss_ce: 0.1346, decode.acc_seg: 94.8047, loss: 0.1346 2023-01-06 08:33:13,431 - mmseg - INFO - Iter [130700/160000] lr: 1.099e-05, eta: 2:03:52, time: 0.245, data_time: 0.018, memory: 9544, decode.loss_ce: 0.1450, decode.acc_seg: 94.3912, loss: 0.1450 2023-01-06 08:33:25,711 - mmseg - INFO - Iter [130750/160000] lr: 1.097e-05, eta: 2:03:39, time: 0.246, data_time: 0.014, memory: 9544, decode.loss_ce: 0.1453, decode.acc_seg: 94.2197, loss: 0.1453 2023-01-06 08:33:38,033 - mmseg - INFO - Iter [130800/160000] lr: 1.095e-05, eta: 2:03:26, time: 0.246, data_time: 0.015, memory: 9544, decode.loss_ce: 0.1383, decode.acc_seg: 94.5083, loss: 0.1383 2023-01-06 08:33:50,171 - mmseg - INFO - Iter [130850/160000] lr: 1.093e-05, eta: 2:03:13, time: 0.242, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1268, decode.acc_seg: 94.8701, loss: 0.1268 2023-01-06 08:34:02,314 - mmseg - INFO - Iter [130900/160000] lr: 1.091e-05, eta: 2:03:01, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1412, decode.acc_seg: 94.3381, loss: 0.1412 2023-01-06 08:34:16,877 - mmseg - INFO - Iter [130950/160000] lr: 1.089e-05, eta: 2:02:48, time: 0.291, data_time: 0.057, memory: 9544, decode.loss_ce: 0.1350, decode.acc_seg: 94.5873, loss: 0.1350 2023-01-06 08:34:29,255 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 08:34:29,255 - mmseg - INFO - Iter [131000/160000] lr: 1.088e-05, eta: 2:02:36, time: 0.248, data_time: 0.053, memory: 9544, decode.loss_ce: 0.1319, decode.acc_seg: 94.9092, loss: 0.1319 2023-01-06 08:34:41,490 - mmseg - INFO - Iter [131050/160000] lr: 1.086e-05, eta: 2:02:23, time: 0.245, data_time: 0.031, memory: 9544, decode.loss_ce: 0.1308, decode.acc_seg: 94.9169, loss: 0.1308 2023-01-06 08:34:53,644 - mmseg - INFO - Iter [131100/160000] lr: 1.084e-05, eta: 2:02:10, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1219, decode.acc_seg: 95.2063, loss: 0.1219 2023-01-06 08:35:05,850 - mmseg - INFO - Iter [131150/160000] lr: 1.082e-05, eta: 2:01:57, time: 0.244, data_time: 0.035, memory: 9544, decode.loss_ce: 0.1303, decode.acc_seg: 94.7047, loss: 0.1303 2023-01-06 08:35:17,931 - mmseg - INFO - Iter [131200/160000] lr: 1.080e-05, eta: 2:01:44, time: 0.242, data_time: 0.069, memory: 9544, decode.loss_ce: 0.1465, decode.acc_seg: 94.1906, loss: 0.1465 2023-01-06 08:35:30,204 - mmseg - INFO - Iter [131250/160000] lr: 1.078e-05, eta: 2:01:32, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1383, decode.acc_seg: 94.4024, loss: 0.1383 2023-01-06 08:35:42,497 - mmseg - INFO - Iter [131300/160000] lr: 1.076e-05, eta: 2:01:19, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1350, decode.acc_seg: 94.6540, loss: 0.1350 2023-01-06 08:35:57,204 - mmseg - INFO - Iter [131350/160000] lr: 1.074e-05, eta: 2:01:07, time: 0.294, data_time: 0.062, memory: 9544, decode.loss_ce: 0.1330, decode.acc_seg: 94.6054, loss: 0.1330 2023-01-06 08:36:09,436 - mmseg - INFO - Iter [131400/160000] lr: 1.073e-05, eta: 2:00:54, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1377, decode.acc_seg: 94.5856, loss: 0.1377 2023-01-06 08:36:21,828 - mmseg - INFO - Iter [131450/160000] lr: 1.071e-05, eta: 2:00:41, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1313, decode.acc_seg: 94.7917, loss: 0.1313 2023-01-06 08:36:33,987 - mmseg - INFO - Iter [131500/160000] lr: 1.069e-05, eta: 2:00:28, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1360, decode.acc_seg: 94.5744, loss: 0.1360 2023-01-06 08:36:46,305 - mmseg - INFO - Iter [131550/160000] lr: 1.067e-05, eta: 2:00:16, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1353, decode.acc_seg: 94.6168, loss: 0.1353 2023-01-06 08:36:58,469 - mmseg - INFO - Iter [131600/160000] lr: 1.065e-05, eta: 2:00:03, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1320, decode.acc_seg: 94.6645, loss: 0.1320 2023-01-06 08:37:11,256 - mmseg - INFO - Iter [131650/160000] lr: 1.063e-05, eta: 1:59:50, time: 0.256, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1326, decode.acc_seg: 94.6774, loss: 0.1326 2023-01-06 08:37:25,586 - mmseg - INFO - Iter [131700/160000] lr: 1.061e-05, eta: 1:59:38, time: 0.287, data_time: 0.060, memory: 9544, decode.loss_ce: 0.1277, decode.acc_seg: 95.0552, loss: 0.1277 2023-01-06 08:37:38,213 - mmseg - INFO - Iter [131750/160000] lr: 1.059e-05, eta: 1:59:25, time: 0.252, data_time: 0.017, memory: 9544, decode.loss_ce: 0.1374, decode.acc_seg: 94.5360, loss: 0.1374 2023-01-06 08:37:50,433 - mmseg - INFO - Iter [131800/160000] lr: 1.058e-05, eta: 1:59:12, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1314, decode.acc_seg: 94.5724, loss: 0.1314 2023-01-06 08:38:02,786 - mmseg - INFO - Iter [131850/160000] lr: 1.056e-05, eta: 1:59:00, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1310, decode.acc_seg: 94.8276, loss: 0.1310 2023-01-06 08:38:15,124 - mmseg - INFO - Iter [131900/160000] lr: 1.054e-05, eta: 1:58:47, time: 0.247, data_time: 0.028, memory: 9544, decode.loss_ce: 0.1340, decode.acc_seg: 94.6492, loss: 0.1340 2023-01-06 08:38:27,508 - mmseg - INFO - Iter [131950/160000] lr: 1.052e-05, eta: 1:58:34, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1383, decode.acc_seg: 94.4959, loss: 0.1383 2023-01-06 08:38:39,702 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 08:38:39,702 - mmseg - INFO - Iter [132000/160000] lr: 1.050e-05, eta: 1:58:21, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1345, decode.acc_seg: 94.4611, loss: 0.1345 2023-01-06 08:38:52,026 - mmseg - INFO - Iter [132050/160000] lr: 1.048e-05, eta: 1:58:08, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1380, decode.acc_seg: 94.5574, loss: 0.1380 2023-01-06 08:39:06,837 - mmseg - INFO - Iter [132100/160000] lr: 1.046e-05, eta: 1:57:56, time: 0.296, data_time: 0.056, memory: 9544, decode.loss_ce: 0.1269, decode.acc_seg: 94.9349, loss: 0.1269 2023-01-06 08:39:19,130 - mmseg - INFO - Iter [132150/160000] lr: 1.044e-05, eta: 1:57:43, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1425, decode.acc_seg: 94.3882, loss: 0.1425 2023-01-06 08:39:31,313 - mmseg - INFO - Iter [132200/160000] lr: 1.043e-05, eta: 1:57:31, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1322, decode.acc_seg: 94.7312, loss: 0.1322 2023-01-06 08:39:43,453 - mmseg - INFO - Iter [132250/160000] lr: 1.041e-05, eta: 1:57:18, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1352, decode.acc_seg: 94.6448, loss: 0.1352 2023-01-06 08:39:55,966 - mmseg - INFO - Iter [132300/160000] lr: 1.039e-05, eta: 1:57:05, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1307, decode.acc_seg: 94.7767, loss: 0.1307 2023-01-06 08:40:08,156 - mmseg - INFO - Iter [132350/160000] lr: 1.037e-05, eta: 1:56:52, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1348, decode.acc_seg: 94.6230, loss: 0.1348 2023-01-06 08:40:20,553 - mmseg - INFO - Iter [132400/160000] lr: 1.035e-05, eta: 1:56:40, time: 0.248, data_time: 0.023, memory: 9544, decode.loss_ce: 0.1286, decode.acc_seg: 94.8820, loss: 0.1286 2023-01-06 08:40:35,280 - mmseg - INFO - Iter [132450/160000] lr: 1.033e-05, eta: 1:56:27, time: 0.295, data_time: 0.066, memory: 9544, decode.loss_ce: 0.1336, decode.acc_seg: 94.6630, loss: 0.1336 2023-01-06 08:40:47,448 - mmseg - INFO - Iter [132500/160000] lr: 1.031e-05, eta: 1:56:15, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1303, decode.acc_seg: 94.7115, loss: 0.1303 2023-01-06 08:40:59,633 - mmseg - INFO - Iter [132550/160000] lr: 1.029e-05, eta: 1:56:02, time: 0.243, data_time: 0.043, memory: 9544, decode.loss_ce: 0.1288, decode.acc_seg: 94.8214, loss: 0.1288 2023-01-06 08:41:12,006 - mmseg - INFO - Iter [132600/160000] lr: 1.028e-05, eta: 1:55:49, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1259, decode.acc_seg: 94.9490, loss: 0.1259 2023-01-06 08:41:24,118 - mmseg - INFO - Iter [132650/160000] lr: 1.026e-05, eta: 1:55:36, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1526, decode.acc_seg: 94.3554, loss: 0.1526 2023-01-06 08:41:36,547 - mmseg - INFO - Iter [132700/160000] lr: 1.024e-05, eta: 1:55:24, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1464, decode.acc_seg: 94.1579, loss: 0.1464 2023-01-06 08:41:48,653 - mmseg - INFO - Iter [132750/160000] lr: 1.022e-05, eta: 1:55:11, time: 0.242, data_time: 0.044, memory: 9544, decode.loss_ce: 0.1321, decode.acc_seg: 94.7017, loss: 0.1321 2023-01-06 08:42:00,968 - mmseg - INFO - Iter [132800/160000] lr: 1.020e-05, eta: 1:54:58, time: 0.247, data_time: 0.019, memory: 9544, decode.loss_ce: 0.1343, decode.acc_seg: 94.7231, loss: 0.1343 2023-01-06 08:42:15,419 - mmseg - INFO - Iter [132850/160000] lr: 1.018e-05, eta: 1:54:46, time: 0.289, data_time: 0.054, memory: 9544, decode.loss_ce: 0.1356, decode.acc_seg: 94.5121, loss: 0.1356 2023-01-06 08:42:27,784 - mmseg - INFO - Iter [132900/160000] lr: 1.016e-05, eta: 1:54:33, time: 0.247, data_time: 0.023, memory: 9544, decode.loss_ce: 0.1327, decode.acc_seg: 94.7609, loss: 0.1327 2023-01-06 08:42:40,326 - mmseg - INFO - Iter [132950/160000] lr: 1.014e-05, eta: 1:54:20, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1316, decode.acc_seg: 94.7840, loss: 0.1316 2023-01-06 08:42:52,665 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 08:42:52,666 - mmseg - INFO - Iter [133000/160000] lr: 1.013e-05, eta: 1:54:07, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1360, decode.acc_seg: 94.7025, loss: 0.1360 2023-01-06 08:43:04,773 - mmseg - INFO - Iter [133050/160000] lr: 1.011e-05, eta: 1:53:55, time: 0.242, data_time: 0.018, memory: 9544, decode.loss_ce: 0.1371, decode.acc_seg: 94.4106, loss: 0.1371 2023-01-06 08:43:17,092 - mmseg - INFO - Iter [133100/160000] lr: 1.009e-05, eta: 1:53:42, time: 0.246, data_time: 0.016, memory: 9544, decode.loss_ce: 0.1342, decode.acc_seg: 94.6696, loss: 0.1342 2023-01-06 08:43:29,314 - mmseg - INFO - Iter [133150/160000] lr: 1.007e-05, eta: 1:53:29, time: 0.245, data_time: 0.028, memory: 9544, decode.loss_ce: 0.1342, decode.acc_seg: 94.6723, loss: 0.1342 2023-01-06 08:43:43,797 - mmseg - INFO - Iter [133200/160000] lr: 1.005e-05, eta: 1:53:17, time: 0.289, data_time: 0.086, memory: 9544, decode.loss_ce: 0.1318, decode.acc_seg: 94.7930, loss: 0.1318 2023-01-06 08:43:56,127 - mmseg - INFO - Iter [133250/160000] lr: 1.003e-05, eta: 1:53:04, time: 0.246, data_time: 0.017, memory: 9544, decode.loss_ce: 0.1401, decode.acc_seg: 94.4642, loss: 0.1401 2023-01-06 08:44:08,443 - mmseg - INFO - Iter [133300/160000] lr: 1.001e-05, eta: 1:52:51, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1351, decode.acc_seg: 94.6926, loss: 0.1351 2023-01-06 08:44:20,613 - mmseg - INFO - Iter [133350/160000] lr: 9.994e-06, eta: 1:52:39, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1236, decode.acc_seg: 94.8633, loss: 0.1236 2023-01-06 08:44:32,952 - mmseg - INFO - Iter [133400/160000] lr: 9.975e-06, eta: 1:52:26, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1439, decode.acc_seg: 94.3371, loss: 0.1439 2023-01-06 08:44:45,002 - mmseg - INFO - Iter [133450/160000] lr: 9.957e-06, eta: 1:52:13, time: 0.241, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1319, decode.acc_seg: 94.6854, loss: 0.1319 2023-01-06 08:44:57,306 - mmseg - INFO - Iter [133500/160000] lr: 9.938e-06, eta: 1:52:00, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1263, decode.acc_seg: 94.8826, loss: 0.1263 2023-01-06 08:45:11,737 - mmseg - INFO - Iter [133550/160000] lr: 9.919e-06, eta: 1:51:48, time: 0.289, data_time: 0.055, memory: 9544, decode.loss_ce: 0.1321, decode.acc_seg: 94.7469, loss: 0.1321 2023-01-06 08:45:24,089 - mmseg - INFO - Iter [133600/160000] lr: 9.900e-06, eta: 1:51:35, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1287, decode.acc_seg: 94.8227, loss: 0.1287 2023-01-06 08:45:36,548 - mmseg - INFO - Iter [133650/160000] lr: 9.882e-06, eta: 1:51:22, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1321, decode.acc_seg: 94.6604, loss: 0.1321 2023-01-06 08:45:48,792 - mmseg - INFO - Iter [133700/160000] lr: 9.863e-06, eta: 1:51:10, time: 0.245, data_time: 0.049, memory: 9544, decode.loss_ce: 0.1255, decode.acc_seg: 94.9523, loss: 0.1255 2023-01-06 08:46:01,231 - mmseg - INFO - Iter [133750/160000] lr: 9.844e-06, eta: 1:50:57, time: 0.249, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1484, decode.acc_seg: 94.2754, loss: 0.1484 2023-01-06 08:46:13,589 - mmseg - INFO - Iter [133800/160000] lr: 9.825e-06, eta: 1:50:44, time: 0.247, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1354, decode.acc_seg: 94.6758, loss: 0.1354 2023-01-06 08:46:26,119 - mmseg - INFO - Iter [133850/160000] lr: 9.807e-06, eta: 1:50:31, time: 0.251, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1303, decode.acc_seg: 94.9172, loss: 0.1303 2023-01-06 08:46:38,430 - mmseg - INFO - Iter [133900/160000] lr: 9.788e-06, eta: 1:50:19, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1359, decode.acc_seg: 94.6221, loss: 0.1359 2023-01-06 08:46:52,952 - mmseg - INFO - Iter [133950/160000] lr: 9.769e-06, eta: 1:50:06, time: 0.290, data_time: 0.054, memory: 9544, decode.loss_ce: 0.1486, decode.acc_seg: 94.0975, loss: 0.1486 2023-01-06 08:47:05,362 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 08:47:05,363 - mmseg - INFO - Iter [134000/160000] lr: 9.750e-06, eta: 1:49:54, time: 0.248, data_time: 0.072, memory: 9544, decode.loss_ce: 0.1276, decode.acc_seg: 94.8772, loss: 0.1276 2023-01-06 08:47:17,697 - mmseg - INFO - Iter [134050/160000] lr: 9.732e-06, eta: 1:49:41, time: 0.247, data_time: 0.084, memory: 9544, decode.loss_ce: 0.1347, decode.acc_seg: 94.7243, loss: 0.1347 2023-01-06 08:47:29,812 - mmseg - INFO - Iter [134100/160000] lr: 9.713e-06, eta: 1:49:28, time: 0.242, data_time: 0.037, memory: 9544, decode.loss_ce: 0.1253, decode.acc_seg: 94.8034, loss: 0.1253 2023-01-06 08:47:42,139 - mmseg - INFO - Iter [134150/160000] lr: 9.694e-06, eta: 1:49:15, time: 0.247, data_time: 0.015, memory: 9544, decode.loss_ce: 0.1272, decode.acc_seg: 94.9087, loss: 0.1272 2023-01-06 08:47:54,473 - mmseg - INFO - Iter [134200/160000] lr: 9.675e-06, eta: 1:49:03, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1472, decode.acc_seg: 94.0579, loss: 0.1472 2023-01-06 08:48:06,659 - mmseg - INFO - Iter [134250/160000] lr: 9.657e-06, eta: 1:48:50, time: 0.244, data_time: 0.015, memory: 9544, decode.loss_ce: 0.1280, decode.acc_seg: 94.8927, loss: 0.1280 2023-01-06 08:48:21,151 - mmseg - INFO - Iter [134300/160000] lr: 9.638e-06, eta: 1:48:38, time: 0.289, data_time: 0.116, memory: 9544, decode.loss_ce: 0.1268, decode.acc_seg: 94.9561, loss: 0.1268 2023-01-06 08:48:33,437 - mmseg - INFO - Iter [134350/160000] lr: 9.619e-06, eta: 1:48:25, time: 0.246, data_time: 0.038, memory: 9544, decode.loss_ce: 0.1284, decode.acc_seg: 94.8019, loss: 0.1284 2023-01-06 08:48:45,781 - mmseg - INFO - Iter [134400/160000] lr: 9.600e-06, eta: 1:48:12, time: 0.247, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1390, decode.acc_seg: 94.5449, loss: 0.1390 2023-01-06 08:48:58,175 - mmseg - INFO - Iter [134450/160000] lr: 9.582e-06, eta: 1:47:59, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1304, decode.acc_seg: 94.7837, loss: 0.1304 2023-01-06 08:49:10,557 - mmseg - INFO - Iter [134500/160000] lr: 9.563e-06, eta: 1:47:47, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1341, decode.acc_seg: 94.7094, loss: 0.1341 2023-01-06 08:49:23,007 - mmseg - INFO - Iter [134550/160000] lr: 9.544e-06, eta: 1:47:34, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1320, decode.acc_seg: 94.8616, loss: 0.1320 2023-01-06 08:49:35,266 - mmseg - INFO - Iter [134600/160000] lr: 9.525e-06, eta: 1:47:21, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1294, decode.acc_seg: 94.8541, loss: 0.1294 2023-01-06 08:49:47,587 - mmseg - INFO - Iter [134650/160000] lr: 9.507e-06, eta: 1:47:08, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1292, decode.acc_seg: 94.7847, loss: 0.1292 2023-01-06 08:50:02,312 - mmseg - INFO - Iter [134700/160000] lr: 9.488e-06, eta: 1:46:56, time: 0.295, data_time: 0.059, memory: 9544, decode.loss_ce: 0.1273, decode.acc_seg: 94.7627, loss: 0.1273 2023-01-06 08:50:14,466 - mmseg - INFO - Iter [134750/160000] lr: 9.469e-06, eta: 1:46:43, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1338, decode.acc_seg: 94.6093, loss: 0.1338 2023-01-06 08:50:26,684 - mmseg - INFO - Iter [134800/160000] lr: 9.450e-06, eta: 1:46:30, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1294, decode.acc_seg: 94.9078, loss: 0.1294 2023-01-06 08:50:38,856 - mmseg - INFO - Iter [134850/160000] lr: 9.432e-06, eta: 1:46:18, time: 0.243, data_time: 0.036, memory: 9544, decode.loss_ce: 0.1295, decode.acc_seg: 94.7472, loss: 0.1295 2023-01-06 08:50:51,291 - mmseg - INFO - Iter [134900/160000] lr: 9.413e-06, eta: 1:46:05, time: 0.249, data_time: 0.079, memory: 9544, decode.loss_ce: 0.1287, decode.acc_seg: 94.7959, loss: 0.1287 2023-01-06 08:51:03,656 - mmseg - INFO - Iter [134950/160000] lr: 9.394e-06, eta: 1:45:52, time: 0.247, data_time: 0.083, memory: 9544, decode.loss_ce: 0.1425, decode.acc_seg: 94.4480, loss: 0.1425 2023-01-06 08:51:16,098 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 08:51:16,099 - mmseg - INFO - Iter [135000/160000] lr: 9.375e-06, eta: 1:45:40, time: 0.249, data_time: 0.037, memory: 9544, decode.loss_ce: 0.1345, decode.acc_seg: 94.7413, loss: 0.1345 2023-01-06 08:51:30,684 - mmseg - INFO - Iter [135050/160000] lr: 9.357e-06, eta: 1:45:27, time: 0.292, data_time: 0.058, memory: 9544, decode.loss_ce: 0.1393, decode.acc_seg: 94.5953, loss: 0.1393 2023-01-06 08:51:42,859 - mmseg - INFO - Iter [135100/160000] lr: 9.338e-06, eta: 1:45:14, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1293, decode.acc_seg: 94.8681, loss: 0.1293 2023-01-06 08:51:55,061 - mmseg - INFO - Iter [135150/160000] lr: 9.319e-06, eta: 1:45:02, time: 0.244, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1240, decode.acc_seg: 95.0164, loss: 0.1240 2023-01-06 08:52:07,562 - mmseg - INFO - Iter [135200/160000] lr: 9.300e-06, eta: 1:44:49, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1379, decode.acc_seg: 94.6390, loss: 0.1379 2023-01-06 08:52:19,914 - mmseg - INFO - Iter [135250/160000] lr: 9.282e-06, eta: 1:44:36, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1361, decode.acc_seg: 94.4319, loss: 0.1361 2023-01-06 08:52:32,126 - mmseg - INFO - Iter [135300/160000] lr: 9.263e-06, eta: 1:44:23, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1443, decode.acc_seg: 94.5246, loss: 0.1443 2023-01-06 08:52:44,582 - mmseg - INFO - Iter [135350/160000] lr: 9.244e-06, eta: 1:44:11, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1275, decode.acc_seg: 94.8200, loss: 0.1275 2023-01-06 08:52:57,097 - mmseg - INFO - Iter [135400/160000] lr: 9.225e-06, eta: 1:43:58, time: 0.250, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1368, decode.acc_seg: 94.6160, loss: 0.1368 2023-01-06 08:53:11,578 - mmseg - INFO - Iter [135450/160000] lr: 9.207e-06, eta: 1:43:46, time: 0.290, data_time: 0.064, memory: 9544, decode.loss_ce: 0.1284, decode.acc_seg: 94.7553, loss: 0.1284 2023-01-06 08:53:23,838 - mmseg - INFO - Iter [135500/160000] lr: 9.188e-06, eta: 1:43:33, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1380, decode.acc_seg: 94.4840, loss: 0.1380 2023-01-06 08:53:36,034 - mmseg - INFO - Iter [135550/160000] lr: 9.169e-06, eta: 1:43:20, time: 0.244, data_time: 0.014, memory: 9544, decode.loss_ce: 0.1384, decode.acc_seg: 94.6411, loss: 0.1384 2023-01-06 08:53:48,448 - mmseg - INFO - Iter [135600/160000] lr: 9.150e-06, eta: 1:43:07, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1397, decode.acc_seg: 94.3724, loss: 0.1397 2023-01-06 08:54:00,609 - mmseg - INFO - Iter [135650/160000] lr: 9.132e-06, eta: 1:42:55, time: 0.243, data_time: 0.027, memory: 9544, decode.loss_ce: 0.1294, decode.acc_seg: 94.7447, loss: 0.1294 2023-01-06 08:54:12,773 - mmseg - INFO - Iter [135700/160000] lr: 9.113e-06, eta: 1:42:42, time: 0.243, data_time: 0.014, memory: 9544, decode.loss_ce: 0.1294, decode.acc_seg: 94.8588, loss: 0.1294 2023-01-06 08:54:25,193 - mmseg - INFO - Iter [135750/160000] lr: 9.094e-06, eta: 1:42:29, time: 0.249, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1420, decode.acc_seg: 94.3810, loss: 0.1420 2023-01-06 08:54:39,640 - mmseg - INFO - Iter [135800/160000] lr: 9.075e-06, eta: 1:42:17, time: 0.289, data_time: 0.058, memory: 9544, decode.loss_ce: 0.1353, decode.acc_seg: 94.6590, loss: 0.1353 2023-01-06 08:54:51,858 - mmseg - INFO - Iter [135850/160000] lr: 9.057e-06, eta: 1:42:04, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1446, decode.acc_seg: 94.3855, loss: 0.1446 2023-01-06 08:55:04,273 - mmseg - INFO - Iter [135900/160000] lr: 9.038e-06, eta: 1:41:51, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1261, decode.acc_seg: 94.8430, loss: 0.1261 2023-01-06 08:55:16,666 - mmseg - INFO - Iter [135950/160000] lr: 9.019e-06, eta: 1:41:39, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1257, decode.acc_seg: 94.9577, loss: 0.1257 2023-01-06 08:55:29,363 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 08:55:29,364 - mmseg - INFO - Iter [136000/160000] lr: 9.000e-06, eta: 1:41:26, time: 0.254, data_time: 0.017, memory: 9544, decode.loss_ce: 0.1289, decode.acc_seg: 94.9144, loss: 0.1289 2023-01-06 08:55:41,950 - mmseg - INFO - Iter [136050/160000] lr: 8.982e-06, eta: 1:41:13, time: 0.252, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1395, decode.acc_seg: 94.3997, loss: 0.1395 2023-01-06 08:55:54,413 - mmseg - INFO - Iter [136100/160000] lr: 8.963e-06, eta: 1:41:00, time: 0.249, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1407, decode.acc_seg: 94.3912, loss: 0.1407 2023-01-06 08:56:06,892 - mmseg - INFO - Iter [136150/160000] lr: 8.944e-06, eta: 1:40:48, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1372, decode.acc_seg: 94.6111, loss: 0.1372 2023-01-06 08:56:21,386 - mmseg - INFO - Iter [136200/160000] lr: 8.925e-06, eta: 1:40:35, time: 0.290, data_time: 0.056, memory: 9544, decode.loss_ce: 0.1363, decode.acc_seg: 94.5907, loss: 0.1363 2023-01-06 08:56:34,455 - mmseg - INFO - Iter [136250/160000] lr: 8.907e-06, eta: 1:40:23, time: 0.261, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1430, decode.acc_seg: 94.4034, loss: 0.1430 2023-01-06 08:56:47,284 - mmseg - INFO - Iter [136300/160000] lr: 8.888e-06, eta: 1:40:10, time: 0.257, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1374, decode.acc_seg: 94.6899, loss: 0.1374 2023-01-06 08:57:00,052 - mmseg - INFO - Iter [136350/160000] lr: 8.869e-06, eta: 1:39:57, time: 0.255, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1385, decode.acc_seg: 94.5077, loss: 0.1385 2023-01-06 08:57:12,620 - mmseg - INFO - Iter [136400/160000] lr: 8.850e-06, eta: 1:39:45, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1307, decode.acc_seg: 94.8990, loss: 0.1307 2023-01-06 08:57:24,817 - mmseg - INFO - Iter [136450/160000] lr: 8.832e-06, eta: 1:39:32, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1279, decode.acc_seg: 94.7797, loss: 0.1279 2023-01-06 08:57:37,126 - mmseg - INFO - Iter [136500/160000] lr: 8.813e-06, eta: 1:39:19, time: 0.246, data_time: 0.017, memory: 9544, decode.loss_ce: 0.1247, decode.acc_seg: 94.8208, loss: 0.1247 2023-01-06 08:57:51,661 - mmseg - INFO - Iter [136550/160000] lr: 8.794e-06, eta: 1:39:07, time: 0.291, data_time: 0.060, memory: 9544, decode.loss_ce: 0.1281, decode.acc_seg: 94.9679, loss: 0.1281 2023-01-06 08:58:03,972 - mmseg - INFO - Iter [136600/160000] lr: 8.775e-06, eta: 1:38:54, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1356, decode.acc_seg: 94.5129, loss: 0.1356 2023-01-06 08:58:16,346 - mmseg - INFO - Iter [136650/160000] lr: 8.757e-06, eta: 1:38:41, time: 0.248, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1317, decode.acc_seg: 94.6508, loss: 0.1317 2023-01-06 08:58:28,439 - mmseg - INFO - Iter [136700/160000] lr: 8.738e-06, eta: 1:38:29, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1371, decode.acc_seg: 94.5498, loss: 0.1371 2023-01-06 08:58:40,858 - mmseg - INFO - Iter [136750/160000] lr: 8.719e-06, eta: 1:38:16, time: 0.248, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1249, decode.acc_seg: 94.9995, loss: 0.1249 2023-01-06 08:58:52,985 - mmseg - INFO - Iter [136800/160000] lr: 8.700e-06, eta: 1:38:03, time: 0.242, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1329, decode.acc_seg: 94.8614, loss: 0.1329 2023-01-06 08:59:05,354 - mmseg - INFO - Iter [136850/160000] lr: 8.682e-06, eta: 1:37:50, time: 0.247, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1296, decode.acc_seg: 94.9222, loss: 0.1296 2023-01-06 08:59:19,883 - mmseg - INFO - Iter [136900/160000] lr: 8.663e-06, eta: 1:37:38, time: 0.291, data_time: 0.060, memory: 9544, decode.loss_ce: 0.1250, decode.acc_seg: 94.8974, loss: 0.1250 2023-01-06 08:59:32,127 - mmseg - INFO - Iter [136950/160000] lr: 8.644e-06, eta: 1:37:25, time: 0.245, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1296, decode.acc_seg: 94.8911, loss: 0.1296 2023-01-06 08:59:44,670 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 08:59:44,671 - mmseg - INFO - Iter [137000/160000] lr: 8.625e-06, eta: 1:37:13, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1313, decode.acc_seg: 94.9295, loss: 0.1313 2023-01-06 08:59:57,039 - mmseg - INFO - Iter [137050/160000] lr: 8.607e-06, eta: 1:37:00, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1270, decode.acc_seg: 94.9019, loss: 0.1270 2023-01-06 09:00:09,397 - mmseg - INFO - Iter [137100/160000] lr: 8.588e-06, eta: 1:36:47, time: 0.247, data_time: 0.042, memory: 9544, decode.loss_ce: 0.1331, decode.acc_seg: 94.8072, loss: 0.1331 2023-01-06 09:00:21,732 - mmseg - INFO - Iter [137150/160000] lr: 8.569e-06, eta: 1:36:34, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1409, decode.acc_seg: 94.4687, loss: 0.1409 2023-01-06 09:00:34,078 - mmseg - INFO - Iter [137200/160000] lr: 8.550e-06, eta: 1:36:22, time: 0.247, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1290, decode.acc_seg: 94.8433, loss: 0.1290 2023-01-06 09:00:46,350 - mmseg - INFO - Iter [137250/160000] lr: 8.532e-06, eta: 1:36:09, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1326, decode.acc_seg: 94.7153, loss: 0.1326 2023-01-06 09:01:00,892 - mmseg - INFO - Iter [137300/160000] lr: 8.513e-06, eta: 1:35:56, time: 0.291, data_time: 0.066, memory: 9544, decode.loss_ce: 0.1350, decode.acc_seg: 94.6460, loss: 0.1350 2023-01-06 09:01:13,327 - mmseg - INFO - Iter [137350/160000] lr: 8.494e-06, eta: 1:35:44, time: 0.249, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1295, decode.acc_seg: 94.9788, loss: 0.1295 2023-01-06 09:01:25,694 - mmseg - INFO - Iter [137400/160000] lr: 8.475e-06, eta: 1:35:31, time: 0.247, data_time: 0.019, memory: 9544, decode.loss_ce: 0.1387, decode.acc_seg: 94.4988, loss: 0.1387 2023-01-06 09:01:38,112 - mmseg - INFO - Iter [137450/160000] lr: 8.457e-06, eta: 1:35:18, time: 0.248, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1285, decode.acc_seg: 94.7438, loss: 0.1285 2023-01-06 09:01:50,510 - mmseg - INFO - Iter [137500/160000] lr: 8.438e-06, eta: 1:35:06, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1337, decode.acc_seg: 94.6923, loss: 0.1337 2023-01-06 09:02:02,795 - mmseg - INFO - Iter [137550/160000] lr: 8.419e-06, eta: 1:34:53, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1395, decode.acc_seg: 94.5032, loss: 0.1395 2023-01-06 09:02:15,150 - mmseg - INFO - Iter [137600/160000] lr: 8.400e-06, eta: 1:34:40, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1277, decode.acc_seg: 94.8814, loss: 0.1277 2023-01-06 09:02:29,580 - mmseg - INFO - Iter [137650/160000] lr: 8.382e-06, eta: 1:34:28, time: 0.289, data_time: 0.068, memory: 9544, decode.loss_ce: 0.1365, decode.acc_seg: 94.2941, loss: 0.1365 2023-01-06 09:02:42,095 - mmseg - INFO - Iter [137700/160000] lr: 8.363e-06, eta: 1:34:15, time: 0.250, data_time: 0.066, memory: 9544, decode.loss_ce: 0.1317, decode.acc_seg: 94.7490, loss: 0.1317 2023-01-06 09:02:54,469 - mmseg - INFO - Iter [137750/160000] lr: 8.344e-06, eta: 1:34:02, time: 0.248, data_time: 0.027, memory: 9544, decode.loss_ce: 0.1382, decode.acc_seg: 94.4407, loss: 0.1382 2023-01-06 09:03:06,802 - mmseg - INFO - Iter [137800/160000] lr: 8.325e-06, eta: 1:33:50, time: 0.246, data_time: 0.044, memory: 9544, decode.loss_ce: 0.1313, decode.acc_seg: 94.7878, loss: 0.1313 2023-01-06 09:03:19,158 - mmseg - INFO - Iter [137850/160000] lr: 8.307e-06, eta: 1:33:37, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1343, decode.acc_seg: 94.6927, loss: 0.1343 2023-01-06 09:03:31,597 - mmseg - INFO - Iter [137900/160000] lr: 8.288e-06, eta: 1:33:24, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1301, decode.acc_seg: 94.6871, loss: 0.1301 2023-01-06 09:03:44,123 - mmseg - INFO - Iter [137950/160000] lr: 8.269e-06, eta: 1:33:11, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1327, decode.acc_seg: 94.5865, loss: 0.1327 2023-01-06 09:03:56,203 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 09:03:56,204 - mmseg - INFO - Iter [138000/160000] lr: 8.250e-06, eta: 1:32:59, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1231, decode.acc_seg: 94.9915, loss: 0.1231 2023-01-06 09:04:10,606 - mmseg - INFO - Iter [138050/160000] lr: 8.232e-06, eta: 1:32:46, time: 0.288, data_time: 0.078, memory: 9544, decode.loss_ce: 0.1272, decode.acc_seg: 94.7902, loss: 0.1272 2023-01-06 09:04:22,675 - mmseg - INFO - Iter [138100/160000] lr: 8.213e-06, eta: 1:32:33, time: 0.241, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1299, decode.acc_seg: 94.6306, loss: 0.1299 2023-01-06 09:04:34,831 - mmseg - INFO - Iter [138150/160000] lr: 8.194e-06, eta: 1:32:21, time: 0.243, data_time: 0.015, memory: 9544, decode.loss_ce: 0.1276, decode.acc_seg: 95.0538, loss: 0.1276 2023-01-06 09:04:47,027 - mmseg - INFO - Iter [138200/160000] lr: 8.175e-06, eta: 1:32:08, time: 0.244, data_time: 0.018, memory: 9544, decode.loss_ce: 0.1259, decode.acc_seg: 94.9477, loss: 0.1259 2023-01-06 09:04:59,220 - mmseg - INFO - Iter [138250/160000] lr: 8.157e-06, eta: 1:31:55, time: 0.244, data_time: 0.030, memory: 9544, decode.loss_ce: 0.1383, decode.acc_seg: 94.6783, loss: 0.1383 2023-01-06 09:05:11,432 - mmseg - INFO - Iter [138300/160000] lr: 8.138e-06, eta: 1:31:42, time: 0.244, data_time: 0.020, memory: 9544, decode.loss_ce: 0.1325, decode.acc_seg: 94.7101, loss: 0.1325 2023-01-06 09:05:23,581 - mmseg - INFO - Iter [138350/160000] lr: 8.119e-06, eta: 1:31:30, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1290, decode.acc_seg: 94.8660, loss: 0.1290 2023-01-06 09:05:38,050 - mmseg - INFO - Iter [138400/160000] lr: 8.100e-06, eta: 1:31:17, time: 0.289, data_time: 0.058, memory: 9544, decode.loss_ce: 0.1462, decode.acc_seg: 94.0796, loss: 0.1462 2023-01-06 09:05:50,375 - mmseg - INFO - Iter [138450/160000] lr: 8.082e-06, eta: 1:31:04, time: 0.246, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1355, decode.acc_seg: 94.5728, loss: 0.1355 2023-01-06 09:06:02,755 - mmseg - INFO - Iter [138500/160000] lr: 8.063e-06, eta: 1:30:52, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1273, decode.acc_seg: 94.8902, loss: 0.1273 2023-01-06 09:06:14,990 - mmseg - INFO - Iter [138550/160000] lr: 8.044e-06, eta: 1:30:39, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1360, decode.acc_seg: 94.6559, loss: 0.1360 2023-01-06 09:06:27,345 - mmseg - INFO - Iter [138600/160000] lr: 8.025e-06, eta: 1:30:26, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1423, decode.acc_seg: 94.4111, loss: 0.1423 2023-01-06 09:06:39,904 - mmseg - INFO - Iter [138650/160000] lr: 8.007e-06, eta: 1:30:14, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1295, decode.acc_seg: 94.7729, loss: 0.1295 2023-01-06 09:06:52,037 - mmseg - INFO - Iter [138700/160000] lr: 7.988e-06, eta: 1:30:01, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1414, decode.acc_seg: 94.3360, loss: 0.1414 2023-01-06 09:07:04,537 - mmseg - INFO - Iter [138750/160000] lr: 7.969e-06, eta: 1:29:48, time: 0.250, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1284, decode.acc_seg: 94.8769, loss: 0.1284 2023-01-06 09:07:18,927 - mmseg - INFO - Iter [138800/160000] lr: 7.950e-06, eta: 1:29:36, time: 0.288, data_time: 0.062, memory: 9544, decode.loss_ce: 0.1320, decode.acc_seg: 94.8113, loss: 0.1320 2023-01-06 09:07:31,364 - mmseg - INFO - Iter [138850/160000] lr: 7.932e-06, eta: 1:29:23, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1363, decode.acc_seg: 94.5079, loss: 0.1363 2023-01-06 09:07:43,565 - mmseg - INFO - Iter [138900/160000] lr: 7.913e-06, eta: 1:29:10, time: 0.244, data_time: 0.049, memory: 9544, decode.loss_ce: 0.1355, decode.acc_seg: 94.3132, loss: 0.1355 2023-01-06 09:07:56,037 - mmseg - INFO - Iter [138950/160000] lr: 7.894e-06, eta: 1:28:58, time: 0.249, data_time: 0.045, memory: 9544, decode.loss_ce: 0.1307, decode.acc_seg: 94.8141, loss: 0.1307 2023-01-06 09:08:08,265 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 09:08:08,266 - mmseg - INFO - Iter [139000/160000] lr: 7.875e-06, eta: 1:28:45, time: 0.244, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1337, decode.acc_seg: 94.7977, loss: 0.1337 2023-01-06 09:08:20,246 - mmseg - INFO - Iter [139050/160000] lr: 7.857e-06, eta: 1:28:32, time: 0.240, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1253, decode.acc_seg: 94.9754, loss: 0.1253 2023-01-06 09:08:32,607 - mmseg - INFO - Iter [139100/160000] lr: 7.838e-06, eta: 1:28:19, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1264, decode.acc_seg: 94.8303, loss: 0.1264 2023-01-06 09:08:47,119 - mmseg - INFO - Iter [139150/160000] lr: 7.819e-06, eta: 1:28:07, time: 0.290, data_time: 0.062, memory: 9544, decode.loss_ce: 0.1383, decode.acc_seg: 94.5750, loss: 0.1383 2023-01-06 09:08:59,326 - mmseg - INFO - Iter [139200/160000] lr: 7.800e-06, eta: 1:27:54, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1258, decode.acc_seg: 95.0543, loss: 0.1258 2023-01-06 09:09:11,554 - mmseg - INFO - Iter [139250/160000] lr: 7.782e-06, eta: 1:27:41, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1449, decode.acc_seg: 94.4792, loss: 0.1449 2023-01-06 09:09:23,638 - mmseg - INFO - Iter [139300/160000] lr: 7.763e-06, eta: 1:27:29, time: 0.242, data_time: 0.061, memory: 9544, decode.loss_ce: 0.1261, decode.acc_seg: 94.9153, loss: 0.1261 2023-01-06 09:09:35,849 - mmseg - INFO - Iter [139350/160000] lr: 7.744e-06, eta: 1:27:16, time: 0.244, data_time: 0.020, memory: 9544, decode.loss_ce: 0.1443, decode.acc_seg: 94.3312, loss: 0.1443 2023-01-06 09:09:48,060 - mmseg - INFO - Iter [139400/160000] lr: 7.725e-06, eta: 1:27:03, time: 0.244, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1365, decode.acc_seg: 94.5361, loss: 0.1365 2023-01-06 09:10:00,432 - mmseg - INFO - Iter [139450/160000] lr: 7.707e-06, eta: 1:26:50, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1376, decode.acc_seg: 94.5601, loss: 0.1376 2023-01-06 09:10:12,627 - mmseg - INFO - Iter [139500/160000] lr: 7.688e-06, eta: 1:26:38, time: 0.244, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1297, decode.acc_seg: 94.8526, loss: 0.1297 2023-01-06 09:10:27,274 - mmseg - INFO - Iter [139550/160000] lr: 7.669e-06, eta: 1:26:25, time: 0.293, data_time: 0.123, memory: 9544, decode.loss_ce: 0.1347, decode.acc_seg: 94.7560, loss: 0.1347 2023-01-06 09:10:39,550 - mmseg - INFO - Iter [139600/160000] lr: 7.650e-06, eta: 1:26:12, time: 0.246, data_time: 0.050, memory: 9544, decode.loss_ce: 0.1393, decode.acc_seg: 94.5826, loss: 0.1393 2023-01-06 09:10:52,012 - mmseg - INFO - Iter [139650/160000] lr: 7.632e-06, eta: 1:26:00, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1297, decode.acc_seg: 94.8553, loss: 0.1297 2023-01-06 09:11:04,299 - mmseg - INFO - Iter [139700/160000] lr: 7.613e-06, eta: 1:25:47, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1229, decode.acc_seg: 94.9733, loss: 0.1229 2023-01-06 09:11:16,613 - mmseg - INFO - Iter [139750/160000] lr: 7.594e-06, eta: 1:25:34, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1320, decode.acc_seg: 94.8343, loss: 0.1320 2023-01-06 09:11:29,130 - mmseg - INFO - Iter [139800/160000] lr: 7.575e-06, eta: 1:25:22, time: 0.250, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1334, decode.acc_seg: 94.7475, loss: 0.1334 2023-01-06 09:11:41,647 - mmseg - INFO - Iter [139850/160000] lr: 7.557e-06, eta: 1:25:09, time: 0.250, data_time: 0.071, memory: 9544, decode.loss_ce: 0.1399, decode.acc_seg: 94.5158, loss: 0.1399 2023-01-06 09:11:56,373 - mmseg - INFO - Iter [139900/160000] lr: 7.538e-06, eta: 1:24:57, time: 0.295, data_time: 0.097, memory: 9544, decode.loss_ce: 0.1260, decode.acc_seg: 94.9223, loss: 0.1260 2023-01-06 09:12:08,983 - mmseg - INFO - Iter [139950/160000] lr: 7.519e-06, eta: 1:24:44, time: 0.252, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1261, decode.acc_seg: 94.9639, loss: 0.1261 2023-01-06 09:12:21,283 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 09:12:21,284 - mmseg - INFO - Iter [140000/160000] lr: 7.500e-06, eta: 1:24:31, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1241, decode.acc_seg: 95.1479, loss: 0.1241 2023-01-06 09:12:33,489 - mmseg - INFO - Iter [140050/160000] lr: 7.482e-06, eta: 1:24:18, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1314, decode.acc_seg: 94.5915, loss: 0.1314 2023-01-06 09:12:45,831 - mmseg - INFO - Iter [140100/160000] lr: 7.463e-06, eta: 1:24:06, time: 0.247, data_time: 0.023, memory: 9544, decode.loss_ce: 0.1418, decode.acc_seg: 94.5698, loss: 0.1418 2023-01-06 09:12:58,071 - mmseg - INFO - Iter [140150/160000] lr: 7.444e-06, eta: 1:23:53, time: 0.245, data_time: 0.033, memory: 9544, decode.loss_ce: 0.1347, decode.acc_seg: 94.7109, loss: 0.1347 2023-01-06 09:13:10,362 - mmseg - INFO - Iter [140200/160000] lr: 7.425e-06, eta: 1:23:40, time: 0.246, data_time: 0.049, memory: 9544, decode.loss_ce: 0.1277, decode.acc_seg: 94.8441, loss: 0.1277 2023-01-06 09:13:24,661 - mmseg - INFO - Iter [140250/160000] lr: 7.407e-06, eta: 1:23:28, time: 0.286, data_time: 0.056, memory: 9544, decode.loss_ce: 0.1292, decode.acc_seg: 94.6582, loss: 0.1292 2023-01-06 09:13:36,728 - mmseg - INFO - Iter [140300/160000] lr: 7.388e-06, eta: 1:23:15, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1281, decode.acc_seg: 94.8479, loss: 0.1281 2023-01-06 09:13:48,951 - mmseg - INFO - Iter [140350/160000] lr: 7.369e-06, eta: 1:23:02, time: 0.244, data_time: 0.018, memory: 9544, decode.loss_ce: 0.1297, decode.acc_seg: 94.8799, loss: 0.1297 2023-01-06 09:14:01,422 - mmseg - INFO - Iter [140400/160000] lr: 7.350e-06, eta: 1:22:49, time: 0.250, data_time: 0.083, memory: 9544, decode.loss_ce: 0.1352, decode.acc_seg: 94.7169, loss: 0.1352 2023-01-06 09:14:13,614 - mmseg - INFO - Iter [140450/160000] lr: 7.332e-06, eta: 1:22:37, time: 0.244, data_time: 0.076, memory: 9544, decode.loss_ce: 0.1422, decode.acc_seg: 94.2980, loss: 0.1422 2023-01-06 09:14:25,984 - mmseg - INFO - Iter [140500/160000] lr: 7.313e-06, eta: 1:22:24, time: 0.247, data_time: 0.016, memory: 9544, decode.loss_ce: 0.1312, decode.acc_seg: 94.7096, loss: 0.1312 2023-01-06 09:14:38,099 - mmseg - INFO - Iter [140550/160000] lr: 7.294e-06, eta: 1:22:11, time: 0.242, data_time: 0.024, memory: 9544, decode.loss_ce: 0.1317, decode.acc_seg: 94.7515, loss: 0.1317 2023-01-06 09:14:50,481 - mmseg - INFO - Iter [140600/160000] lr: 7.275e-06, eta: 1:21:59, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1301, decode.acc_seg: 94.8128, loss: 0.1301 2023-01-06 09:15:05,115 - mmseg - INFO - Iter [140650/160000] lr: 7.257e-06, eta: 1:21:46, time: 0.293, data_time: 0.060, memory: 9544, decode.loss_ce: 0.1257, decode.acc_seg: 94.9140, loss: 0.1257 2023-01-06 09:15:17,372 - mmseg - INFO - Iter [140700/160000] lr: 7.238e-06, eta: 1:21:33, time: 0.245, data_time: 0.016, memory: 9544, decode.loss_ce: 0.1467, decode.acc_seg: 94.1359, loss: 0.1467 2023-01-06 09:15:29,647 - mmseg - INFO - Iter [140750/160000] lr: 7.219e-06, eta: 1:21:21, time: 0.245, data_time: 0.027, memory: 9544, decode.loss_ce: 0.1421, decode.acc_seg: 94.4407, loss: 0.1421 2023-01-06 09:15:42,173 - mmseg - INFO - Iter [140800/160000] lr: 7.200e-06, eta: 1:21:08, time: 0.251, data_time: 0.049, memory: 9544, decode.loss_ce: 0.1373, decode.acc_seg: 94.6204, loss: 0.1373 2023-01-06 09:15:54,297 - mmseg - INFO - Iter [140850/160000] lr: 7.182e-06, eta: 1:20:55, time: 0.242, data_time: 0.021, memory: 9544, decode.loss_ce: 0.1220, decode.acc_seg: 95.0101, loss: 0.1220 2023-01-06 09:16:06,455 - mmseg - INFO - Iter [140900/160000] lr: 7.163e-06, eta: 1:20:42, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1290, decode.acc_seg: 94.7938, loss: 0.1290 2023-01-06 09:16:18,961 - mmseg - INFO - Iter [140950/160000] lr: 7.144e-06, eta: 1:20:30, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1273, decode.acc_seg: 95.0103, loss: 0.1273 2023-01-06 09:16:33,443 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 09:16:33,444 - mmseg - INFO - Iter [141000/160000] lr: 7.125e-06, eta: 1:20:17, time: 0.290, data_time: 0.055, memory: 9544, decode.loss_ce: 0.1381, decode.acc_seg: 94.6101, loss: 0.1381 2023-01-06 09:16:45,880 - mmseg - INFO - Iter [141050/160000] lr: 7.107e-06, eta: 1:20:05, time: 0.249, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1383, decode.acc_seg: 94.6724, loss: 0.1383 2023-01-06 09:16:58,307 - mmseg - INFO - Iter [141100/160000] lr: 7.088e-06, eta: 1:19:52, time: 0.248, data_time: 0.020, memory: 9544, decode.loss_ce: 0.1348, decode.acc_seg: 94.5652, loss: 0.1348 2023-01-06 09:17:10,831 - mmseg - INFO - Iter [141150/160000] lr: 7.069e-06, eta: 1:19:39, time: 0.250, data_time: 0.043, memory: 9544, decode.loss_ce: 0.1438, decode.acc_seg: 94.2632, loss: 0.1438 2023-01-06 09:17:23,127 - mmseg - INFO - Iter [141200/160000] lr: 7.050e-06, eta: 1:19:26, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1218, decode.acc_seg: 95.0848, loss: 0.1218 2023-01-06 09:17:35,466 - mmseg - INFO - Iter [141250/160000] lr: 7.032e-06, eta: 1:19:14, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1237, decode.acc_seg: 95.1804, loss: 0.1237 2023-01-06 09:17:47,893 - mmseg - INFO - Iter [141300/160000] lr: 7.013e-06, eta: 1:19:01, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1302, decode.acc_seg: 94.8657, loss: 0.1302 2023-01-06 09:18:00,601 - mmseg - INFO - Iter [141350/160000] lr: 6.994e-06, eta: 1:18:48, time: 0.254, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1283, decode.acc_seg: 94.7203, loss: 0.1283 2023-01-06 09:18:14,998 - mmseg - INFO - Iter [141400/160000] lr: 6.975e-06, eta: 1:18:36, time: 0.288, data_time: 0.058, memory: 9544, decode.loss_ce: 0.1385, decode.acc_seg: 94.3979, loss: 0.1385 2023-01-06 09:18:27,586 - mmseg - INFO - Iter [141450/160000] lr: 6.957e-06, eta: 1:18:23, time: 0.252, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1257, decode.acc_seg: 94.9199, loss: 0.1257 2023-01-06 09:18:39,875 - mmseg - INFO - Iter [141500/160000] lr: 6.938e-06, eta: 1:18:10, time: 0.246, data_time: 0.016, memory: 9544, decode.loss_ce: 0.1396, decode.acc_seg: 94.5957, loss: 0.1396 2023-01-06 09:18:52,054 - mmseg - INFO - Iter [141550/160000] lr: 6.919e-06, eta: 1:17:58, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1308, decode.acc_seg: 94.7181, loss: 0.1308 2023-01-06 09:19:04,364 - mmseg - INFO - Iter [141600/160000] lr: 6.900e-06, eta: 1:17:45, time: 0.246, data_time: 0.027, memory: 9544, decode.loss_ce: 0.1385, decode.acc_seg: 94.5024, loss: 0.1385 2023-01-06 09:19:16,664 - mmseg - INFO - Iter [141650/160000] lr: 6.882e-06, eta: 1:17:32, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1285, decode.acc_seg: 94.9606, loss: 0.1285 2023-01-06 09:19:28,976 - mmseg - INFO - Iter [141700/160000] lr: 6.863e-06, eta: 1:17:20, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1211, decode.acc_seg: 95.1084, loss: 0.1211 2023-01-06 09:19:43,515 - mmseg - INFO - Iter [141750/160000] lr: 6.844e-06, eta: 1:17:07, time: 0.291, data_time: 0.056, memory: 9544, decode.loss_ce: 0.1258, decode.acc_seg: 94.9349, loss: 0.1258 2023-01-06 09:19:56,029 - mmseg - INFO - Iter [141800/160000] lr: 6.825e-06, eta: 1:16:54, time: 0.250, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1345, decode.acc_seg: 94.7563, loss: 0.1345 2023-01-06 09:20:08,448 - mmseg - INFO - Iter [141850/160000] lr: 6.807e-06, eta: 1:16:42, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1268, decode.acc_seg: 94.9468, loss: 0.1268 2023-01-06 09:20:20,716 - mmseg - INFO - Iter [141900/160000] lr: 6.788e-06, eta: 1:16:29, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1314, decode.acc_seg: 94.8151, loss: 0.1314 2023-01-06 09:20:33,260 - mmseg - INFO - Iter [141950/160000] lr: 6.769e-06, eta: 1:16:16, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1251, decode.acc_seg: 94.9505, loss: 0.1251 2023-01-06 09:20:45,228 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 09:20:45,229 - mmseg - INFO - Iter [142000/160000] lr: 6.750e-06, eta: 1:16:04, time: 0.239, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1244, decode.acc_seg: 95.0960, loss: 0.1244 2023-01-06 09:20:57,383 - mmseg - INFO - Iter [142050/160000] lr: 6.732e-06, eta: 1:15:51, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1292, decode.acc_seg: 94.7497, loss: 0.1292 2023-01-06 09:21:09,712 - mmseg - INFO - Iter [142100/160000] lr: 6.713e-06, eta: 1:15:38, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1321, decode.acc_seg: 94.6101, loss: 0.1321 2023-01-06 09:21:24,492 - mmseg - INFO - Iter [142150/160000] lr: 6.694e-06, eta: 1:15:26, time: 0.296, data_time: 0.056, memory: 9544, decode.loss_ce: 0.1328, decode.acc_seg: 94.7154, loss: 0.1328 2023-01-06 09:21:36,857 - mmseg - INFO - Iter [142200/160000] lr: 6.675e-06, eta: 1:15:13, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1265, decode.acc_seg: 94.9860, loss: 0.1265 2023-01-06 09:21:48,991 - mmseg - INFO - Iter [142250/160000] lr: 6.657e-06, eta: 1:15:00, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1328, decode.acc_seg: 94.7279, loss: 0.1328 2023-01-06 09:22:01,206 - mmseg - INFO - Iter [142300/160000] lr: 6.638e-06, eta: 1:14:47, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1306, decode.acc_seg: 94.7862, loss: 0.1306 2023-01-06 09:22:13,353 - mmseg - INFO - Iter [142350/160000] lr: 6.619e-06, eta: 1:14:35, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1355, decode.acc_seg: 94.8868, loss: 0.1355 2023-01-06 09:22:25,634 - mmseg - INFO - Iter [142400/160000] lr: 6.600e-06, eta: 1:14:22, time: 0.246, data_time: 0.047, memory: 9544, decode.loss_ce: 0.1331, decode.acc_seg: 94.8014, loss: 0.1331 2023-01-06 09:22:37,784 - mmseg - INFO - Iter [142450/160000] lr: 6.582e-06, eta: 1:14:09, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1312, decode.acc_seg: 94.7337, loss: 0.1312 2023-01-06 09:22:52,358 - mmseg - INFO - Iter [142500/160000] lr: 6.563e-06, eta: 1:13:57, time: 0.292, data_time: 0.066, memory: 9544, decode.loss_ce: 0.1379, decode.acc_seg: 94.4723, loss: 0.1379 2023-01-06 09:23:04,649 - mmseg - INFO - Iter [142550/160000] lr: 6.544e-06, eta: 1:13:44, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1324, decode.acc_seg: 94.8222, loss: 0.1324 2023-01-06 09:23:16,905 - mmseg - INFO - Iter [142600/160000] lr: 6.525e-06, eta: 1:13:31, time: 0.245, data_time: 0.021, memory: 9544, decode.loss_ce: 0.1403, decode.acc_seg: 94.5139, loss: 0.1403 2023-01-06 09:23:29,142 - mmseg - INFO - Iter [142650/160000] lr: 6.507e-06, eta: 1:13:19, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1324, decode.acc_seg: 94.7733, loss: 0.1324 2023-01-06 09:23:41,553 - mmseg - INFO - Iter [142700/160000] lr: 6.488e-06, eta: 1:13:06, time: 0.248, data_time: 0.015, memory: 9544, decode.loss_ce: 0.1250, decode.acc_seg: 95.0063, loss: 0.1250 2023-01-06 09:23:53,765 - mmseg - INFO - Iter [142750/160000] lr: 6.469e-06, eta: 1:12:53, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1377, decode.acc_seg: 94.4869, loss: 0.1377 2023-01-06 09:24:06,290 - mmseg - INFO - Iter [142800/160000] lr: 6.450e-06, eta: 1:12:40, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1299, decode.acc_seg: 94.7771, loss: 0.1299 2023-01-06 09:24:20,791 - mmseg - INFO - Iter [142850/160000] lr: 6.432e-06, eta: 1:12:28, time: 0.290, data_time: 0.055, memory: 9544, decode.loss_ce: 0.1242, decode.acc_seg: 94.9916, loss: 0.1242 2023-01-06 09:24:32,948 - mmseg - INFO - Iter [142900/160000] lr: 6.413e-06, eta: 1:12:15, time: 0.243, data_time: 0.019, memory: 9544, decode.loss_ce: 0.1320, decode.acc_seg: 94.7386, loss: 0.1320 2023-01-06 09:24:45,481 - mmseg - INFO - Iter [142950/160000] lr: 6.394e-06, eta: 1:12:03, time: 0.251, data_time: 0.040, memory: 9544, decode.loss_ce: 0.1337, decode.acc_seg: 94.6047, loss: 0.1337 2023-01-06 09:24:57,580 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 09:24:57,581 - mmseg - INFO - Iter [143000/160000] lr: 6.375e-06, eta: 1:11:50, time: 0.242, data_time: 0.058, memory: 9544, decode.loss_ce: 0.1250, decode.acc_seg: 94.9901, loss: 0.1250 2023-01-06 09:25:09,764 - mmseg - INFO - Iter [143050/160000] lr: 6.357e-06, eta: 1:11:37, time: 0.244, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1252, decode.acc_seg: 94.9160, loss: 0.1252 2023-01-06 09:25:22,061 - mmseg - INFO - Iter [143100/160000] lr: 6.338e-06, eta: 1:11:24, time: 0.246, data_time: 0.017, memory: 9544, decode.loss_ce: 0.1251, decode.acc_seg: 94.9656, loss: 0.1251 2023-01-06 09:25:34,400 - mmseg - INFO - Iter [143150/160000] lr: 6.319e-06, eta: 1:11:12, time: 0.247, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1351, decode.acc_seg: 94.6514, loss: 0.1351 2023-01-06 09:25:46,670 - mmseg - INFO - Iter [143200/160000] lr: 6.300e-06, eta: 1:10:59, time: 0.245, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1253, decode.acc_seg: 94.9530, loss: 0.1253 2023-01-06 09:26:01,191 - mmseg - INFO - Iter [143250/160000] lr: 6.282e-06, eta: 1:10:46, time: 0.290, data_time: 0.055, memory: 9544, decode.loss_ce: 0.1286, decode.acc_seg: 94.9207, loss: 0.1286 2023-01-06 09:26:13,402 - mmseg - INFO - Iter [143300/160000] lr: 6.263e-06, eta: 1:10:34, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1278, decode.acc_seg: 94.9537, loss: 0.1278 2023-01-06 09:26:25,676 - mmseg - INFO - Iter [143350/160000] lr: 6.244e-06, eta: 1:10:21, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1309, decode.acc_seg: 94.6396, loss: 0.1309 2023-01-06 09:26:37,857 - mmseg - INFO - Iter [143400/160000] lr: 6.225e-06, eta: 1:10:08, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1325, decode.acc_seg: 94.7580, loss: 0.1325 2023-01-06 09:26:50,669 - mmseg - INFO - Iter [143450/160000] lr: 6.207e-06, eta: 1:09:56, time: 0.256, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1337, decode.acc_seg: 94.7964, loss: 0.1337 2023-01-06 09:27:03,218 - mmseg - INFO - Iter [143500/160000] lr: 6.188e-06, eta: 1:09:43, time: 0.251, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1294, decode.acc_seg: 94.7766, loss: 0.1294 2023-01-06 09:27:15,884 - mmseg - INFO - Iter [143550/160000] lr: 6.169e-06, eta: 1:09:30, time: 0.254, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1334, decode.acc_seg: 94.7452, loss: 0.1334 2023-01-06 09:27:30,801 - mmseg - INFO - Iter [143600/160000] lr: 6.150e-06, eta: 1:09:18, time: 0.298, data_time: 0.062, memory: 9544, decode.loss_ce: 0.1345, decode.acc_seg: 94.6315, loss: 0.1345 2023-01-06 09:27:43,139 - mmseg - INFO - Iter [143650/160000] lr: 6.132e-06, eta: 1:09:05, time: 0.247, data_time: 0.060, memory: 9544, decode.loss_ce: 0.1274, decode.acc_seg: 94.9512, loss: 0.1274 2023-01-06 09:27:55,610 - mmseg - INFO - Iter [143700/160000] lr: 6.113e-06, eta: 1:08:52, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1290, decode.acc_seg: 94.8206, loss: 0.1290 2023-01-06 09:28:07,910 - mmseg - INFO - Iter [143750/160000] lr: 6.094e-06, eta: 1:08:40, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1336, decode.acc_seg: 94.6631, loss: 0.1336 2023-01-06 09:28:20,492 - mmseg - INFO - Iter [143800/160000] lr: 6.075e-06, eta: 1:08:27, time: 0.251, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1302, decode.acc_seg: 94.8384, loss: 0.1302 2023-01-06 09:28:33,054 - mmseg - INFO - Iter [143850/160000] lr: 6.057e-06, eta: 1:08:14, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1352, decode.acc_seg: 94.6114, loss: 0.1352 2023-01-06 09:28:45,269 - mmseg - INFO - Iter [143900/160000] lr: 6.038e-06, eta: 1:08:02, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1192, decode.acc_seg: 95.1608, loss: 0.1192 2023-01-06 09:28:57,578 - mmseg - INFO - Iter [143950/160000] lr: 6.019e-06, eta: 1:07:49, time: 0.246, data_time: 0.016, memory: 9544, decode.loss_ce: 0.1413, decode.acc_seg: 94.5189, loss: 0.1413 2023-01-06 09:29:12,048 - mmseg - INFO - Saving checkpoint at 144000 iterations 2023-01-06 09:29:13,058 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 09:29:13,058 - mmseg - INFO - Iter [144000/160000] lr: 6.000e-06, eta: 1:07:36, time: 0.310, data_time: 0.056, memory: 9544, decode.loss_ce: 0.1243, decode.acc_seg: 94.9308, loss: 0.1243 2023-01-06 09:29:31,576 - mmseg - INFO - per class results: 2023-01-06 09:29:31,578 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 97.22 | 98.66 | | sidewalk | 78.33 | 88.13 | | building | 89.36 | 95.38 | | wall | 44.66 | 52.34 | | fence | 43.91 | 53.69 | | pole | 52.14 | 60.29 | | traffic light | 54.63 | 65.31 | | traffic sign | 67.64 | 76.71 | | vegetation | 90.84 | 96.58 | | terrain | 57.14 | 64.58 | | sky | 93.29 | 97.94 | | person | 71.15 | 83.02 | | rider | 41.02 | 52.78 | | car | 91.43 | 96.15 | | truck | 40.61 | 48.15 | | bus | 58.71 | 69.17 | | train | 48.72 | 59.43 | | motorcycle | 37.09 | 51.23 | | bicycle | 66.96 | 83.1 | +---------------+-------+-------+ 2023-01-06 09:29:31,579 - mmseg - INFO - Summary: 2023-01-06 09:29:31,579 - mmseg - INFO - +-------+-------+------+ | aAcc | mIoU | mAcc | +-------+-------+------+ | 94.29 | 64.47 | 73.3 | +-------+-------+------+ 2023-01-06 09:29:31,580 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 09:29:31,580 - mmseg - INFO - Iter(val) [63] aAcc: 0.9429, mIoU: 0.6447, mAcc: 0.7330, IoU.road: 0.9722, IoU.sidewalk: 0.7833, IoU.building: 0.8936, IoU.wall: 0.4466, IoU.fence: 0.4391, IoU.pole: 0.5214, IoU.traffic light: 0.5463, IoU.traffic sign: 0.6764, IoU.vegetation: 0.9084, IoU.terrain: 0.5714, IoU.sky: 0.9329, IoU.person: 0.7115, IoU.rider: 0.4102, IoU.car: 0.9143, IoU.truck: 0.4061, IoU.bus: 0.5871, IoU.train: 0.4872, IoU.motorcycle: 0.3709, IoU.bicycle: 0.6696, Acc.road: 0.9866, Acc.sidewalk: 0.8813, Acc.building: 0.9538, Acc.wall: 0.5234, Acc.fence: 0.5369, Acc.pole: 0.6029, Acc.traffic light: 0.6531, Acc.traffic sign: 0.7671, Acc.vegetation: 0.9658, Acc.terrain: 0.6458, Acc.sky: 0.9794, Acc.person: 0.8302, Acc.rider: 0.5278, Acc.car: 0.9615, Acc.truck: 0.4815, Acc.bus: 0.6917, Acc.train: 0.5943, Acc.motorcycle: 0.5123, Acc.bicycle: 0.8310 2023-01-06 09:29:43,436 - mmseg - INFO - Iter [144050/160000] lr: 5.982e-06, eta: 1:07:26, time: 0.607, data_time: 0.385, memory: 9544, decode.loss_ce: 0.1334, decode.acc_seg: 94.6831, loss: 0.1334 2023-01-06 09:29:55,885 - mmseg - INFO - Iter [144100/160000] lr: 5.963e-06, eta: 1:07:13, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1242, decode.acc_seg: 94.9967, loss: 0.1242 2023-01-06 09:30:07,985 - mmseg - INFO - Iter [144150/160000] lr: 5.944e-06, eta: 1:07:00, time: 0.242, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1400, decode.acc_seg: 94.4955, loss: 0.1400 2023-01-06 09:30:20,323 - mmseg - INFO - Iter [144200/160000] lr: 5.925e-06, eta: 1:06:48, time: 0.247, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1301, decode.acc_seg: 94.8697, loss: 0.1301 2023-01-06 09:30:32,815 - mmseg - INFO - Iter [144250/160000] lr: 5.907e-06, eta: 1:06:35, time: 0.250, data_time: 0.073, memory: 9544, decode.loss_ce: 0.1267, decode.acc_seg: 94.9508, loss: 0.1267 2023-01-06 09:30:45,137 - mmseg - INFO - Iter [144300/160000] lr: 5.888e-06, eta: 1:06:22, time: 0.246, data_time: 0.082, memory: 9544, decode.loss_ce: 0.1370, decode.acc_seg: 94.5083, loss: 0.1370 2023-01-06 09:30:59,941 - mmseg - INFO - Iter [144350/160000] lr: 5.869e-06, eta: 1:06:10, time: 0.296, data_time: 0.110, memory: 9544, decode.loss_ce: 0.1327, decode.acc_seg: 94.7851, loss: 0.1327 2023-01-06 09:31:12,267 - mmseg - INFO - Iter [144400/160000] lr: 5.850e-06, eta: 1:05:57, time: 0.246, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1288, decode.acc_seg: 94.9220, loss: 0.1288 2023-01-06 09:31:24,562 - mmseg - INFO - Iter [144450/160000] lr: 5.832e-06, eta: 1:05:44, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1221, decode.acc_seg: 95.0580, loss: 0.1221 2023-01-06 09:31:37,120 - mmseg - INFO - Iter [144500/160000] lr: 5.813e-06, eta: 1:05:32, time: 0.251, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1459, decode.acc_seg: 94.3828, loss: 0.1459 2023-01-06 09:31:49,399 - mmseg - INFO - Iter [144550/160000] lr: 5.794e-06, eta: 1:05:19, time: 0.245, data_time: 0.017, memory: 9544, decode.loss_ce: 0.1408, decode.acc_seg: 94.6432, loss: 0.1408 2023-01-06 09:32:01,673 - mmseg - INFO - Iter [144600/160000] lr: 5.775e-06, eta: 1:05:06, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1296, decode.acc_seg: 94.8173, loss: 0.1296 2023-01-06 09:32:13,943 - mmseg - INFO - Iter [144650/160000] lr: 5.757e-06, eta: 1:04:53, time: 0.246, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1292, decode.acc_seg: 94.8579, loss: 0.1292 2023-01-06 09:32:26,268 - mmseg - INFO - Iter [144700/160000] lr: 5.738e-06, eta: 1:04:41, time: 0.246, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1260, decode.acc_seg: 94.9443, loss: 0.1260 2023-01-06 09:32:40,759 - mmseg - INFO - Iter [144750/160000] lr: 5.719e-06, eta: 1:04:28, time: 0.290, data_time: 0.122, memory: 9544, decode.loss_ce: 0.1316, decode.acc_seg: 94.7681, loss: 0.1316 2023-01-06 09:32:53,240 - mmseg - INFO - Iter [144800/160000] lr: 5.700e-06, eta: 1:04:15, time: 0.250, data_time: 0.083, memory: 9544, decode.loss_ce: 0.1258, decode.acc_seg: 94.8752, loss: 0.1258 2023-01-06 09:33:05,615 - mmseg - INFO - Iter [144850/160000] lr: 5.682e-06, eta: 1:04:03, time: 0.247, data_time: 0.063, memory: 9544, decode.loss_ce: 0.1376, decode.acc_seg: 94.7253, loss: 0.1376 2023-01-06 09:33:17,864 - mmseg - INFO - Iter [144900/160000] lr: 5.663e-06, eta: 1:03:50, time: 0.245, data_time: 0.036, memory: 9544, decode.loss_ce: 0.1316, decode.acc_seg: 94.7666, loss: 0.1316 2023-01-06 09:33:30,142 - mmseg - INFO - Iter [144950/160000] lr: 5.644e-06, eta: 1:03:37, time: 0.245, data_time: 0.015, memory: 9544, decode.loss_ce: 0.1290, decode.acc_seg: 94.6981, loss: 0.1290 2023-01-06 09:33:42,558 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 09:33:42,559 - mmseg - INFO - Iter [145000/160000] lr: 5.625e-06, eta: 1:03:25, time: 0.249, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1338, decode.acc_seg: 94.6595, loss: 0.1338 2023-01-06 09:33:55,099 - mmseg - INFO - Iter [145050/160000] lr: 5.607e-06, eta: 1:03:12, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1361, decode.acc_seg: 94.5665, loss: 0.1361 2023-01-06 09:34:09,582 - mmseg - INFO - Iter [145100/160000] lr: 5.588e-06, eta: 1:02:59, time: 0.290, data_time: 0.055, memory: 9544, decode.loss_ce: 0.1234, decode.acc_seg: 95.0294, loss: 0.1234 2023-01-06 09:34:21,822 - mmseg - INFO - Iter [145150/160000] lr: 5.569e-06, eta: 1:02:47, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1256, decode.acc_seg: 95.0023, loss: 0.1256 2023-01-06 09:34:34,312 - mmseg - INFO - Iter [145200/160000] lr: 5.550e-06, eta: 1:02:34, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1292, decode.acc_seg: 94.9071, loss: 0.1292 2023-01-06 09:34:46,648 - mmseg - INFO - Iter [145250/160000] lr: 5.532e-06, eta: 1:02:21, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1289, decode.acc_seg: 94.8773, loss: 0.1289 2023-01-06 09:34:59,050 - mmseg - INFO - Iter [145300/160000] lr: 5.513e-06, eta: 1:02:09, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1368, decode.acc_seg: 94.4243, loss: 0.1368 2023-01-06 09:35:11,343 - mmseg - INFO - Iter [145350/160000] lr: 5.494e-06, eta: 1:01:56, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1240, decode.acc_seg: 95.1154, loss: 0.1240 2023-01-06 09:35:23,627 - mmseg - INFO - Iter [145400/160000] lr: 5.475e-06, eta: 1:01:43, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1302, decode.acc_seg: 94.8581, loss: 0.1302 2023-01-06 09:35:36,084 - mmseg - INFO - Iter [145450/160000] lr: 5.457e-06, eta: 1:01:30, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1239, decode.acc_seg: 95.0343, loss: 0.1239 2023-01-06 09:35:50,630 - mmseg - INFO - Iter [145500/160000] lr: 5.438e-06, eta: 1:01:18, time: 0.291, data_time: 0.054, memory: 9544, decode.loss_ce: 0.1328, decode.acc_seg: 94.8453, loss: 0.1328 2023-01-06 09:36:02,863 - mmseg - INFO - Iter [145550/160000] lr: 5.419e-06, eta: 1:01:05, time: 0.245, data_time: 0.016, memory: 9544, decode.loss_ce: 0.1305, decode.acc_seg: 94.8724, loss: 0.1305 2023-01-06 09:36:15,284 - mmseg - INFO - Iter [145600/160000] lr: 5.400e-06, eta: 1:00:52, time: 0.248, data_time: 0.075, memory: 9544, decode.loss_ce: 0.1246, decode.acc_seg: 94.9476, loss: 0.1246 2023-01-06 09:36:27,618 - mmseg - INFO - Iter [145650/160000] lr: 5.382e-06, eta: 1:00:40, time: 0.247, data_time: 0.082, memory: 9544, decode.loss_ce: 0.1372, decode.acc_seg: 94.5447, loss: 0.1372 2023-01-06 09:36:40,139 - mmseg - INFO - Iter [145700/160000] lr: 5.363e-06, eta: 1:00:27, time: 0.251, data_time: 0.089, memory: 9544, decode.loss_ce: 0.1261, decode.acc_seg: 94.9444, loss: 0.1261 2023-01-06 09:36:52,169 - mmseg - INFO - Iter [145750/160000] lr: 5.344e-06, eta: 1:00:14, time: 0.241, data_time: 0.049, memory: 9544, decode.loss_ce: 0.1371, decode.acc_seg: 94.6323, loss: 0.1371 2023-01-06 09:37:04,579 - mmseg - INFO - Iter [145800/160000] lr: 5.325e-06, eta: 1:00:02, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1261, decode.acc_seg: 94.9189, loss: 0.1261 2023-01-06 09:37:19,186 - mmseg - INFO - Iter [145850/160000] lr: 5.307e-06, eta: 0:59:49, time: 0.292, data_time: 0.054, memory: 9544, decode.loss_ce: 0.1325, decode.acc_seg: 94.6616, loss: 0.1325 2023-01-06 09:37:31,575 - mmseg - INFO - Iter [145900/160000] lr: 5.288e-06, eta: 0:59:36, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1277, decode.acc_seg: 94.9248, loss: 0.1277 2023-01-06 09:37:43,902 - mmseg - INFO - Iter [145950/160000] lr: 5.269e-06, eta: 0:59:24, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1273, decode.acc_seg: 95.0369, loss: 0.1273 2023-01-06 09:37:56,285 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 09:37:56,286 - mmseg - INFO - Iter [146000/160000] lr: 5.250e-06, eta: 0:59:11, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1282, decode.acc_seg: 94.9386, loss: 0.1282 2023-01-06 09:38:08,845 - mmseg - INFO - Iter [146050/160000] lr: 5.232e-06, eta: 0:58:58, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1240, decode.acc_seg: 94.9069, loss: 0.1240 2023-01-06 09:38:21,311 - mmseg - INFO - Iter [146100/160000] lr: 5.213e-06, eta: 0:58:46, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1374, decode.acc_seg: 94.5576, loss: 0.1374 2023-01-06 09:38:33,787 - mmseg - INFO - Iter [146150/160000] lr: 5.194e-06, eta: 0:58:33, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1237, decode.acc_seg: 95.0281, loss: 0.1237 2023-01-06 09:38:48,152 - mmseg - INFO - Iter [146200/160000] lr: 5.175e-06, eta: 0:58:20, time: 0.287, data_time: 0.058, memory: 9544, decode.loss_ce: 0.1290, decode.acc_seg: 94.6207, loss: 0.1290 2023-01-06 09:39:00,451 - mmseg - INFO - Iter [146250/160000] lr: 5.157e-06, eta: 0:58:08, time: 0.246, data_time: 0.019, memory: 9544, decode.loss_ce: 0.1227, decode.acc_seg: 95.0831, loss: 0.1227 2023-01-06 09:39:12,669 - mmseg - INFO - Iter [146300/160000] lr: 5.138e-06, eta: 0:57:55, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1340, decode.acc_seg: 94.6377, loss: 0.1340 2023-01-06 09:39:25,112 - mmseg - INFO - Iter [146350/160000] lr: 5.119e-06, eta: 0:57:42, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1312, decode.acc_seg: 94.7645, loss: 0.1312 2023-01-06 09:39:37,251 - mmseg - INFO - Iter [146400/160000] lr: 5.100e-06, eta: 0:57:29, time: 0.243, data_time: 0.062, memory: 9544, decode.loss_ce: 0.1409, decode.acc_seg: 94.4151, loss: 0.1409 2023-01-06 09:39:49,475 - mmseg - INFO - Iter [146450/160000] lr: 5.082e-06, eta: 0:57:17, time: 0.244, data_time: 0.068, memory: 9544, decode.loss_ce: 0.1285, decode.acc_seg: 94.6775, loss: 0.1285 2023-01-06 09:40:01,976 - mmseg - INFO - Iter [146500/160000] lr: 5.063e-06, eta: 0:57:04, time: 0.250, data_time: 0.021, memory: 9544, decode.loss_ce: 0.1260, decode.acc_seg: 95.0058, loss: 0.1260 2023-01-06 09:40:14,293 - mmseg - INFO - Iter [146550/160000] lr: 5.044e-06, eta: 0:56:51, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1362, decode.acc_seg: 94.7832, loss: 0.1362 2023-01-06 09:40:28,826 - mmseg - INFO - Iter [146600/160000] lr: 5.025e-06, eta: 0:56:39, time: 0.291, data_time: 0.061, memory: 9544, decode.loss_ce: 0.1270, decode.acc_seg: 94.8127, loss: 0.1270 2023-01-06 09:40:41,167 - mmseg - INFO - Iter [146650/160000] lr: 5.007e-06, eta: 0:56:26, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1276, decode.acc_seg: 94.8609, loss: 0.1276 2023-01-06 09:40:53,357 - mmseg - INFO - Iter [146700/160000] lr: 4.988e-06, eta: 0:56:13, time: 0.244, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1290, decode.acc_seg: 94.9131, loss: 0.1290 2023-01-06 09:41:05,796 - mmseg - INFO - Iter [146750/160000] lr: 4.969e-06, eta: 0:56:01, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1268, decode.acc_seg: 94.7237, loss: 0.1268 2023-01-06 09:41:18,163 - mmseg - INFO - Iter [146800/160000] lr: 4.950e-06, eta: 0:55:48, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1308, decode.acc_seg: 94.7022, loss: 0.1308 2023-01-06 09:41:30,334 - mmseg - INFO - Iter [146850/160000] lr: 4.932e-06, eta: 0:55:35, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1327, decode.acc_seg: 94.8499, loss: 0.1327 2023-01-06 09:41:42,696 - mmseg - INFO - Iter [146900/160000] lr: 4.913e-06, eta: 0:55:22, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1197, decode.acc_seg: 95.0982, loss: 0.1197 2023-01-06 09:41:57,535 - mmseg - INFO - Iter [146950/160000] lr: 4.894e-06, eta: 0:55:10, time: 0.297, data_time: 0.058, memory: 9544, decode.loss_ce: 0.1336, decode.acc_seg: 94.8266, loss: 0.1336 2023-01-06 09:42:09,629 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 09:42:09,629 - mmseg - INFO - Iter [147000/160000] lr: 4.875e-06, eta: 0:54:57, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1363, decode.acc_seg: 94.5613, loss: 0.1363 2023-01-06 09:42:22,134 - mmseg - INFO - Iter [147050/160000] lr: 4.857e-06, eta: 0:54:45, time: 0.250, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1368, decode.acc_seg: 94.6533, loss: 0.1368 2023-01-06 09:42:34,324 - mmseg - INFO - Iter [147100/160000] lr: 4.838e-06, eta: 0:54:32, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1169, decode.acc_seg: 95.2416, loss: 0.1169 2023-01-06 09:42:46,474 - mmseg - INFO - Iter [147150/160000] lr: 4.819e-06, eta: 0:54:19, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1228, decode.acc_seg: 95.0301, loss: 0.1228 2023-01-06 09:42:58,822 - mmseg - INFO - Iter [147200/160000] lr: 4.800e-06, eta: 0:54:06, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1298, decode.acc_seg: 94.9549, loss: 0.1298 2023-01-06 09:43:11,207 - mmseg - INFO - Iter [147250/160000] lr: 4.782e-06, eta: 0:53:54, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1329, decode.acc_seg: 94.5604, loss: 0.1329 2023-01-06 09:43:23,468 - mmseg - INFO - Iter [147300/160000] lr: 4.763e-06, eta: 0:53:41, time: 0.245, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1223, decode.acc_seg: 95.2694, loss: 0.1223 2023-01-06 09:43:37,970 - mmseg - INFO - Iter [147350/160000] lr: 4.744e-06, eta: 0:53:28, time: 0.290, data_time: 0.064, memory: 9544, decode.loss_ce: 0.1322, decode.acc_seg: 94.6799, loss: 0.1322 2023-01-06 09:43:50,079 - mmseg - INFO - Iter [147400/160000] lr: 4.725e-06, eta: 0:53:16, time: 0.242, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1250, decode.acc_seg: 94.9393, loss: 0.1250 2023-01-06 09:44:02,726 - mmseg - INFO - Iter [147450/160000] lr: 4.707e-06, eta: 0:53:03, time: 0.253, data_time: 0.016, memory: 9544, decode.loss_ce: 0.1313, decode.acc_seg: 94.8314, loss: 0.1313 2023-01-06 09:44:15,298 - mmseg - INFO - Iter [147500/160000] lr: 4.688e-06, eta: 0:52:50, time: 0.251, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1319, decode.acc_seg: 94.7268, loss: 0.1319 2023-01-06 09:44:27,946 - mmseg - INFO - Iter [147550/160000] lr: 4.669e-06, eta: 0:52:38, time: 0.253, data_time: 0.019, memory: 9544, decode.loss_ce: 0.1384, decode.acc_seg: 94.4706, loss: 0.1384 2023-01-06 09:44:40,188 - mmseg - INFO - Iter [147600/160000] lr: 4.650e-06, eta: 0:52:25, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1293, decode.acc_seg: 94.7918, loss: 0.1293 2023-01-06 09:44:52,649 - mmseg - INFO - Iter [147650/160000] lr: 4.632e-06, eta: 0:52:12, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1325, decode.acc_seg: 94.7303, loss: 0.1325 2023-01-06 09:45:07,267 - mmseg - INFO - Iter [147700/160000] lr: 4.613e-06, eta: 0:52:00, time: 0.292, data_time: 0.057, memory: 9544, decode.loss_ce: 0.1222, decode.acc_seg: 95.0813, loss: 0.1222 2023-01-06 09:45:19,500 - mmseg - INFO - Iter [147750/160000] lr: 4.594e-06, eta: 0:51:47, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1247, decode.acc_seg: 94.8957, loss: 0.1247 2023-01-06 09:45:31,933 - mmseg - INFO - Iter [147800/160000] lr: 4.575e-06, eta: 0:51:34, time: 0.249, data_time: 0.018, memory: 9544, decode.loss_ce: 0.1323, decode.acc_seg: 94.7228, loss: 0.1323 2023-01-06 09:45:44,122 - mmseg - INFO - Iter [147850/160000] lr: 4.557e-06, eta: 0:51:21, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1281, decode.acc_seg: 94.8910, loss: 0.1281 2023-01-06 09:45:56,412 - mmseg - INFO - Iter [147900/160000] lr: 4.538e-06, eta: 0:51:09, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1379, decode.acc_seg: 94.4701, loss: 0.1379 2023-01-06 09:46:08,589 - mmseg - INFO - Iter [147950/160000] lr: 4.519e-06, eta: 0:50:56, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1391, decode.acc_seg: 94.4186, loss: 0.1391 2023-01-06 09:46:20,788 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 09:46:20,789 - mmseg - INFO - Iter [148000/160000] lr: 4.500e-06, eta: 0:50:43, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1253, decode.acc_seg: 94.9628, loss: 0.1253 2023-01-06 09:46:32,945 - mmseg - INFO - Iter [148050/160000] lr: 4.482e-06, eta: 0:50:31, time: 0.243, data_time: 0.021, memory: 9544, decode.loss_ce: 0.1282, decode.acc_seg: 94.9419, loss: 0.1282 2023-01-06 09:46:47,410 - mmseg - INFO - Iter [148100/160000] lr: 4.463e-06, eta: 0:50:18, time: 0.289, data_time: 0.060, memory: 9544, decode.loss_ce: 0.1309, decode.acc_seg: 94.8669, loss: 0.1309 2023-01-06 09:46:59,700 - mmseg - INFO - Iter [148150/160000] lr: 4.444e-06, eta: 0:50:05, time: 0.246, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1245, decode.acc_seg: 95.1014, loss: 0.1245 2023-01-06 09:47:11,885 - mmseg - INFO - Iter [148200/160000] lr: 4.425e-06, eta: 0:49:53, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1302, decode.acc_seg: 94.7547, loss: 0.1302 2023-01-06 09:47:23,992 - mmseg - INFO - Iter [148250/160000] lr: 4.407e-06, eta: 0:49:40, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1306, decode.acc_seg: 94.7923, loss: 0.1306 2023-01-06 09:47:36,150 - mmseg - INFO - Iter [148300/160000] lr: 4.388e-06, eta: 0:49:27, time: 0.243, data_time: 0.030, memory: 9544, decode.loss_ce: 0.1276, decode.acc_seg: 94.8139, loss: 0.1276 2023-01-06 09:47:48,558 - mmseg - INFO - Iter [148350/160000] lr: 4.369e-06, eta: 0:49:14, time: 0.248, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1301, decode.acc_seg: 94.6760, loss: 0.1301 2023-01-06 09:48:00,761 - mmseg - INFO - Iter [148400/160000] lr: 4.350e-06, eta: 0:49:02, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1235, decode.acc_seg: 94.9369, loss: 0.1235 2023-01-06 09:48:15,191 - mmseg - INFO - Iter [148450/160000] lr: 4.332e-06, eta: 0:48:49, time: 0.289, data_time: 0.062, memory: 9544, decode.loss_ce: 0.1353, decode.acc_seg: 94.5258, loss: 0.1353 2023-01-06 09:48:27,471 - mmseg - INFO - Iter [148500/160000] lr: 4.313e-06, eta: 0:48:36, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1323, decode.acc_seg: 94.8481, loss: 0.1323 2023-01-06 09:48:39,740 - mmseg - INFO - Iter [148550/160000] lr: 4.294e-06, eta: 0:48:24, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1281, decode.acc_seg: 94.8522, loss: 0.1281 2023-01-06 09:48:52,048 - mmseg - INFO - Iter [148600/160000] lr: 4.275e-06, eta: 0:48:11, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1243, decode.acc_seg: 95.0739, loss: 0.1243 2023-01-06 09:49:04,286 - mmseg - INFO - Iter [148650/160000] lr: 4.257e-06, eta: 0:47:58, time: 0.245, data_time: 0.014, memory: 9544, decode.loss_ce: 0.1267, decode.acc_seg: 94.9466, loss: 0.1267 2023-01-06 09:49:16,694 - mmseg - INFO - Iter [148700/160000] lr: 4.238e-06, eta: 0:47:46, time: 0.248, data_time: 0.069, memory: 9544, decode.loss_ce: 0.1278, decode.acc_seg: 94.8657, loss: 0.1278 2023-01-06 09:49:28,776 - mmseg - INFO - Iter [148750/160000] lr: 4.219e-06, eta: 0:47:33, time: 0.242, data_time: 0.052, memory: 9544, decode.loss_ce: 0.1338, decode.acc_seg: 94.6774, loss: 0.1338 2023-01-06 09:49:40,912 - mmseg - INFO - Iter [148800/160000] lr: 4.200e-06, eta: 0:47:20, time: 0.243, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1270, decode.acc_seg: 94.8506, loss: 0.1270 2023-01-06 09:49:55,519 - mmseg - INFO - Iter [148850/160000] lr: 4.182e-06, eta: 0:47:08, time: 0.292, data_time: 0.054, memory: 9544, decode.loss_ce: 0.1335, decode.acc_seg: 94.6866, loss: 0.1335 2023-01-06 09:50:07,897 - mmseg - INFO - Iter [148900/160000] lr: 4.163e-06, eta: 0:46:55, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1277, decode.acc_seg: 94.9307, loss: 0.1277 2023-01-06 09:50:20,130 - mmseg - INFO - Iter [148950/160000] lr: 4.144e-06, eta: 0:46:42, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1266, decode.acc_seg: 94.9354, loss: 0.1266 2023-01-06 09:50:32,543 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 09:50:32,543 - mmseg - INFO - Iter [149000/160000] lr: 4.125e-06, eta: 0:46:30, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1212, decode.acc_seg: 95.1357, loss: 0.1212 2023-01-06 09:50:44,775 - mmseg - INFO - Iter [149050/160000] lr: 4.107e-06, eta: 0:46:17, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1236, decode.acc_seg: 95.0471, loss: 0.1236 2023-01-06 09:50:57,179 - mmseg - INFO - Iter [149100/160000] lr: 4.088e-06, eta: 0:46:04, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1322, decode.acc_seg: 94.7243, loss: 0.1322 2023-01-06 09:51:09,169 - mmseg - INFO - Iter [149150/160000] lr: 4.069e-06, eta: 0:45:51, time: 0.240, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1219, decode.acc_seg: 94.9206, loss: 0.1219 2023-01-06 09:51:23,691 - mmseg - INFO - Iter [149200/160000] lr: 4.050e-06, eta: 0:45:39, time: 0.290, data_time: 0.061, memory: 9544, decode.loss_ce: 0.1365, decode.acc_seg: 94.8025, loss: 0.1365 2023-01-06 09:51:35,953 - mmseg - INFO - Iter [149250/160000] lr: 4.032e-06, eta: 0:45:26, time: 0.245, data_time: 0.048, memory: 9544, decode.loss_ce: 0.1265, decode.acc_seg: 94.9595, loss: 0.1265 2023-01-06 09:51:48,098 - mmseg - INFO - Iter [149300/160000] lr: 4.013e-06, eta: 0:45:13, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1309, decode.acc_seg: 94.6817, loss: 0.1309 2023-01-06 09:52:00,369 - mmseg - INFO - Iter [149350/160000] lr: 3.994e-06, eta: 0:45:01, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1264, decode.acc_seg: 94.9231, loss: 0.1264 2023-01-06 09:52:12,609 - mmseg - INFO - Iter [149400/160000] lr: 3.975e-06, eta: 0:44:48, time: 0.245, data_time: 0.016, memory: 9544, decode.loss_ce: 0.1281, decode.acc_seg: 94.8579, loss: 0.1281 2023-01-06 09:52:24,934 - mmseg - INFO - Iter [149450/160000] lr: 3.957e-06, eta: 0:44:35, time: 0.247, data_time: 0.082, memory: 9544, decode.loss_ce: 0.1241, decode.acc_seg: 94.9593, loss: 0.1241 2023-01-06 09:52:37,041 - mmseg - INFO - Iter [149500/160000] lr: 3.938e-06, eta: 0:44:23, time: 0.242, data_time: 0.076, memory: 9544, decode.loss_ce: 0.1244, decode.acc_seg: 95.0222, loss: 0.1244 2023-01-06 09:52:51,643 - mmseg - INFO - Iter [149550/160000] lr: 3.919e-06, eta: 0:44:10, time: 0.292, data_time: 0.092, memory: 9544, decode.loss_ce: 0.1370, decode.acc_seg: 94.8199, loss: 0.1370 2023-01-06 09:53:03,970 - mmseg - INFO - Iter [149600/160000] lr: 3.900e-06, eta: 0:43:57, time: 0.247, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1224, decode.acc_seg: 95.0729, loss: 0.1224 2023-01-06 09:53:16,380 - mmseg - INFO - Iter [149650/160000] lr: 3.882e-06, eta: 0:43:45, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1223, decode.acc_seg: 95.0416, loss: 0.1223 2023-01-06 09:53:28,589 - mmseg - INFO - Iter [149700/160000] lr: 3.863e-06, eta: 0:43:32, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1345, decode.acc_seg: 94.5749, loss: 0.1345 2023-01-06 09:53:40,967 - mmseg - INFO - Iter [149750/160000] lr: 3.844e-06, eta: 0:43:19, time: 0.248, data_time: 0.027, memory: 9544, decode.loss_ce: 0.1324, decode.acc_seg: 94.7849, loss: 0.1324 2023-01-06 09:53:53,286 - mmseg - INFO - Iter [149800/160000] lr: 3.825e-06, eta: 0:43:06, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1252, decode.acc_seg: 94.8884, loss: 0.1252 2023-01-06 09:54:05,751 - mmseg - INFO - Iter [149850/160000] lr: 3.807e-06, eta: 0:42:54, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1186, decode.acc_seg: 95.1245, loss: 0.1186 2023-01-06 09:54:18,144 - mmseg - INFO - Iter [149900/160000] lr: 3.788e-06, eta: 0:42:41, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1113, decode.acc_seg: 95.4411, loss: 0.1113 2023-01-06 09:54:32,582 - mmseg - INFO - Iter [149950/160000] lr: 3.769e-06, eta: 0:42:29, time: 0.289, data_time: 0.054, memory: 9544, decode.loss_ce: 0.1256, decode.acc_seg: 95.0236, loss: 0.1256 2023-01-06 09:54:45,171 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 09:54:45,172 - mmseg - INFO - Iter [150000/160000] lr: 3.750e-06, eta: 0:42:16, time: 0.252, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1251, decode.acc_seg: 94.8248, loss: 0.1251 2023-01-06 09:54:57,428 - mmseg - INFO - Iter [150050/160000] lr: 3.732e-06, eta: 0:42:03, time: 0.245, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1326, decode.acc_seg: 94.7140, loss: 0.1326 2023-01-06 09:55:10,113 - mmseg - INFO - Iter [150100/160000] lr: 3.713e-06, eta: 0:41:50, time: 0.254, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1221, decode.acc_seg: 95.1659, loss: 0.1221 2023-01-06 09:55:22,617 - mmseg - INFO - Iter [150150/160000] lr: 3.694e-06, eta: 0:41:38, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1210, decode.acc_seg: 95.2555, loss: 0.1210 2023-01-06 09:55:35,097 - mmseg - INFO - Iter [150200/160000] lr: 3.675e-06, eta: 0:41:25, time: 0.250, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1303, decode.acc_seg: 94.7684, loss: 0.1303 2023-01-06 09:55:47,568 - mmseg - INFO - Iter [150250/160000] lr: 3.657e-06, eta: 0:41:12, time: 0.249, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1207, decode.acc_seg: 95.1340, loss: 0.1207 2023-01-06 09:56:02,365 - mmseg - INFO - Iter [150300/160000] lr: 3.638e-06, eta: 0:41:00, time: 0.296, data_time: 0.071, memory: 9544, decode.loss_ce: 0.1357, decode.acc_seg: 94.7138, loss: 0.1357 2023-01-06 09:56:14,921 - mmseg - INFO - Iter [150350/160000] lr: 3.619e-06, eta: 0:40:47, time: 0.251, data_time: 0.084, memory: 9544, decode.loss_ce: 0.1239, decode.acc_seg: 94.9352, loss: 0.1239 2023-01-06 09:56:26,953 - mmseg - INFO - Iter [150400/160000] lr: 3.600e-06, eta: 0:40:34, time: 0.241, data_time: 0.047, memory: 9544, decode.loss_ce: 0.1174, decode.acc_seg: 95.2409, loss: 0.1174 2023-01-06 09:56:39,489 - mmseg - INFO - Iter [150450/160000] lr: 3.582e-06, eta: 0:40:22, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1227, decode.acc_seg: 95.0674, loss: 0.1227 2023-01-06 09:56:51,694 - mmseg - INFO - Iter [150500/160000] lr: 3.563e-06, eta: 0:40:09, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1182, decode.acc_seg: 95.2337, loss: 0.1182 2023-01-06 09:57:04,283 - mmseg - INFO - Iter [150550/160000] lr: 3.544e-06, eta: 0:39:56, time: 0.252, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1215, decode.acc_seg: 95.2313, loss: 0.1215 2023-01-06 09:57:16,686 - mmseg - INFO - Iter [150600/160000] lr: 3.525e-06, eta: 0:39:44, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1350, decode.acc_seg: 94.6917, loss: 0.1350 2023-01-06 09:57:28,894 - mmseg - INFO - Iter [150650/160000] lr: 3.507e-06, eta: 0:39:31, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1316, decode.acc_seg: 94.8274, loss: 0.1316 2023-01-06 09:57:43,653 - mmseg - INFO - Iter [150700/160000] lr: 3.488e-06, eta: 0:39:18, time: 0.295, data_time: 0.055, memory: 9544, decode.loss_ce: 0.1242, decode.acc_seg: 94.9740, loss: 0.1242 2023-01-06 09:57:56,052 - mmseg - INFO - Iter [150750/160000] lr: 3.469e-06, eta: 0:39:06, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1212, decode.acc_seg: 95.0899, loss: 0.1212 2023-01-06 09:58:08,456 - mmseg - INFO - Iter [150800/160000] lr: 3.450e-06, eta: 0:38:53, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1279, decode.acc_seg: 94.8931, loss: 0.1279 2023-01-06 09:58:20,969 - mmseg - INFO - Iter [150850/160000] lr: 3.432e-06, eta: 0:38:40, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1280, decode.acc_seg: 94.8906, loss: 0.1280 2023-01-06 09:58:33,216 - mmseg - INFO - Iter [150900/160000] lr: 3.413e-06, eta: 0:38:28, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1309, decode.acc_seg: 94.6867, loss: 0.1309 2023-01-06 09:58:45,572 - mmseg - INFO - Iter [150950/160000] lr: 3.394e-06, eta: 0:38:15, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1312, decode.acc_seg: 94.7301, loss: 0.1312 2023-01-06 09:58:57,921 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 09:58:57,921 - mmseg - INFO - Iter [151000/160000] lr: 3.375e-06, eta: 0:38:02, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1243, decode.acc_seg: 94.9685, loss: 0.1243 2023-01-06 09:59:12,593 - mmseg - INFO - Iter [151050/160000] lr: 3.357e-06, eta: 0:37:50, time: 0.293, data_time: 0.055, memory: 9544, decode.loss_ce: 0.1199, decode.acc_seg: 95.1120, loss: 0.1199 2023-01-06 09:59:24,831 - mmseg - INFO - Iter [151100/160000] lr: 3.338e-06, eta: 0:37:37, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1296, decode.acc_seg: 94.8459, loss: 0.1296 2023-01-06 09:59:36,941 - mmseg - INFO - Iter [151150/160000] lr: 3.319e-06, eta: 0:37:24, time: 0.242, data_time: 0.020, memory: 9544, decode.loss_ce: 0.1242, decode.acc_seg: 95.0059, loss: 0.1242 2023-01-06 09:59:49,358 - mmseg - INFO - Iter [151200/160000] lr: 3.300e-06, eta: 0:37:11, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1258, decode.acc_seg: 94.9237, loss: 0.1258 2023-01-06 10:00:01,664 - mmseg - INFO - Iter [151250/160000] lr: 3.282e-06, eta: 0:36:59, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1304, decode.acc_seg: 94.8093, loss: 0.1304 2023-01-06 10:00:13,816 - mmseg - INFO - Iter [151300/160000] lr: 3.263e-06, eta: 0:36:46, time: 0.243, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1277, decode.acc_seg: 94.8008, loss: 0.1277 2023-01-06 10:00:26,230 - mmseg - INFO - Iter [151350/160000] lr: 3.244e-06, eta: 0:36:33, time: 0.248, data_time: 0.014, memory: 9544, decode.loss_ce: 0.1349, decode.acc_seg: 94.6204, loss: 0.1349 2023-01-06 10:00:38,387 - mmseg - INFO - Iter [151400/160000] lr: 3.225e-06, eta: 0:36:21, time: 0.243, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1347, decode.acc_seg: 94.7281, loss: 0.1347 2023-01-06 10:00:52,948 - mmseg - INFO - Iter [151450/160000] lr: 3.207e-06, eta: 0:36:08, time: 0.291, data_time: 0.056, memory: 9544, decode.loss_ce: 0.1174, decode.acc_seg: 95.2746, loss: 0.1174 2023-01-06 10:01:05,198 - mmseg - INFO - Iter [151500/160000] lr: 3.188e-06, eta: 0:35:55, time: 0.245, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1253, decode.acc_seg: 94.9016, loss: 0.1253 2023-01-06 10:01:17,614 - mmseg - INFO - Iter [151550/160000] lr: 3.169e-06, eta: 0:35:43, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1174, decode.acc_seg: 95.1804, loss: 0.1174 2023-01-06 10:01:30,008 - mmseg - INFO - Iter [151600/160000] lr: 3.150e-06, eta: 0:35:30, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1260, decode.acc_seg: 94.9497, loss: 0.1260 2023-01-06 10:01:42,204 - mmseg - INFO - Iter [151650/160000] lr: 3.132e-06, eta: 0:35:17, time: 0.244, data_time: 0.027, memory: 9544, decode.loss_ce: 0.1273, decode.acc_seg: 94.8845, loss: 0.1273 2023-01-06 10:01:54,413 - mmseg - INFO - Iter [151700/160000] lr: 3.113e-06, eta: 0:35:05, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1366, decode.acc_seg: 94.5606, loss: 0.1366 2023-01-06 10:02:06,753 - mmseg - INFO - Iter [151750/160000] lr: 3.094e-06, eta: 0:34:52, time: 0.247, data_time: 0.020, memory: 9544, decode.loss_ce: 0.1330, decode.acc_seg: 94.7324, loss: 0.1330 2023-01-06 10:02:21,386 - mmseg - INFO - Iter [151800/160000] lr: 3.075e-06, eta: 0:34:39, time: 0.292, data_time: 0.078, memory: 9544, decode.loss_ce: 0.1338, decode.acc_seg: 94.6710, loss: 0.1338 2023-01-06 10:02:33,832 - mmseg - INFO - Iter [151850/160000] lr: 3.057e-06, eta: 0:34:27, time: 0.249, data_time: 0.084, memory: 9544, decode.loss_ce: 0.1267, decode.acc_seg: 94.9795, loss: 0.1267 2023-01-06 10:02:46,243 - mmseg - INFO - Iter [151900/160000] lr: 3.038e-06, eta: 0:34:14, time: 0.248, data_time: 0.088, memory: 9544, decode.loss_ce: 0.1378, decode.acc_seg: 94.5856, loss: 0.1378 2023-01-06 10:02:58,374 - mmseg - INFO - Iter [151950/160000] lr: 3.019e-06, eta: 0:34:01, time: 0.243, data_time: 0.066, memory: 9544, decode.loss_ce: 0.1267, decode.acc_seg: 95.0606, loss: 0.1267 2023-01-06 10:03:10,826 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 10:03:10,827 - mmseg - INFO - Iter [152000/160000] lr: 3.000e-06, eta: 0:33:48, time: 0.249, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1264, decode.acc_seg: 94.8910, loss: 0.1264 2023-01-06 10:03:23,104 - mmseg - INFO - Iter [152050/160000] lr: 2.982e-06, eta: 0:33:36, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1278, decode.acc_seg: 94.8573, loss: 0.1278 2023-01-06 10:03:35,233 - mmseg - INFO - Iter [152100/160000] lr: 2.963e-06, eta: 0:33:23, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1206, decode.acc_seg: 95.0923, loss: 0.1206 2023-01-06 10:03:49,631 - mmseg - INFO - Iter [152150/160000] lr: 2.944e-06, eta: 0:33:10, time: 0.288, data_time: 0.056, memory: 9544, decode.loss_ce: 0.1221, decode.acc_seg: 95.1262, loss: 0.1221 2023-01-06 10:04:02,149 - mmseg - INFO - Iter [152200/160000] lr: 2.925e-06, eta: 0:32:58, time: 0.251, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1319, decode.acc_seg: 94.8073, loss: 0.1319 2023-01-06 10:04:14,494 - mmseg - INFO - Iter [152250/160000] lr: 2.907e-06, eta: 0:32:45, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1311, decode.acc_seg: 94.7967, loss: 0.1311 2023-01-06 10:04:26,582 - mmseg - INFO - Iter [152300/160000] lr: 2.888e-06, eta: 0:32:32, time: 0.241, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1279, decode.acc_seg: 94.7179, loss: 0.1279 2023-01-06 10:04:38,666 - mmseg - INFO - Iter [152350/160000] lr: 2.869e-06, eta: 0:32:20, time: 0.242, data_time: 0.015, memory: 9544, decode.loss_ce: 0.1405, decode.acc_seg: 94.6193, loss: 0.1405 2023-01-06 10:04:50,712 - mmseg - INFO - Iter [152400/160000] lr: 2.850e-06, eta: 0:32:07, time: 0.241, data_time: 0.016, memory: 9544, decode.loss_ce: 0.1293, decode.acc_seg: 94.7939, loss: 0.1293 2023-01-06 10:05:03,048 - mmseg - INFO - Iter [152450/160000] lr: 2.832e-06, eta: 0:31:54, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1192, decode.acc_seg: 95.2426, loss: 0.1192 2023-01-06 10:05:15,229 - mmseg - INFO - Iter [152500/160000] lr: 2.813e-06, eta: 0:31:42, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1254, decode.acc_seg: 94.8350, loss: 0.1254 2023-01-06 10:05:29,706 - mmseg - INFO - Iter [152550/160000] lr: 2.794e-06, eta: 0:31:29, time: 0.289, data_time: 0.084, memory: 9544, decode.loss_ce: 0.1298, decode.acc_seg: 94.7848, loss: 0.1298 2023-01-06 10:05:41,928 - mmseg - INFO - Iter [152600/160000] lr: 2.775e-06, eta: 0:31:16, time: 0.244, data_time: 0.062, memory: 9544, decode.loss_ce: 0.1308, decode.acc_seg: 94.8065, loss: 0.1308 2023-01-06 10:05:54,098 - mmseg - INFO - Iter [152650/160000] lr: 2.757e-06, eta: 0:31:04, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1316, decode.acc_seg: 94.8651, loss: 0.1316 2023-01-06 10:06:06,408 - mmseg - INFO - Iter [152700/160000] lr: 2.738e-06, eta: 0:30:51, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1299, decode.acc_seg: 94.8166, loss: 0.1299 2023-01-06 10:06:18,728 - mmseg - INFO - Iter [152750/160000] lr: 2.719e-06, eta: 0:30:38, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1253, decode.acc_seg: 94.8133, loss: 0.1253 2023-01-06 10:06:31,037 - mmseg - INFO - Iter [152800/160000] lr: 2.700e-06, eta: 0:30:25, time: 0.246, data_time: 0.028, memory: 9544, decode.loss_ce: 0.1211, decode.acc_seg: 95.1655, loss: 0.1211 2023-01-06 10:06:43,341 - mmseg - INFO - Iter [152850/160000] lr: 2.682e-06, eta: 0:30:13, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1251, decode.acc_seg: 95.0927, loss: 0.1251 2023-01-06 10:06:58,063 - mmseg - INFO - Iter [152900/160000] lr: 2.663e-06, eta: 0:30:00, time: 0.294, data_time: 0.055, memory: 9544, decode.loss_ce: 0.1348, decode.acc_seg: 94.7062, loss: 0.1348 2023-01-06 10:07:10,279 - mmseg - INFO - Iter [152950/160000] lr: 2.644e-06, eta: 0:29:47, time: 0.244, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1300, decode.acc_seg: 94.9957, loss: 0.1300 2023-01-06 10:07:22,618 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 10:07:22,622 - mmseg - INFO - Iter [153000/160000] lr: 2.625e-06, eta: 0:29:35, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1411, decode.acc_seg: 94.6812, loss: 0.1411 2023-01-06 10:07:34,755 - mmseg - INFO - Iter [153050/160000] lr: 2.607e-06, eta: 0:29:22, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1327, decode.acc_seg: 94.7771, loss: 0.1327 2023-01-06 10:07:47,166 - mmseg - INFO - Iter [153100/160000] lr: 2.588e-06, eta: 0:29:09, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1274, decode.acc_seg: 95.0456, loss: 0.1274 2023-01-06 10:07:59,563 - mmseg - INFO - Iter [153150/160000] lr: 2.569e-06, eta: 0:28:57, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1326, decode.acc_seg: 94.7992, loss: 0.1326 2023-01-06 10:08:11,669 - mmseg - INFO - Iter [153200/160000] lr: 2.550e-06, eta: 0:28:44, time: 0.242, data_time: 0.014, memory: 9544, decode.loss_ce: 0.1172, decode.acc_seg: 95.2879, loss: 0.1172 2023-01-06 10:08:23,915 - mmseg - INFO - Iter [153250/160000] lr: 2.532e-06, eta: 0:28:31, time: 0.245, data_time: 0.015, memory: 9544, decode.loss_ce: 0.1273, decode.acc_seg: 94.8949, loss: 0.1273 2023-01-06 10:08:38,539 - mmseg - INFO - Iter [153300/160000] lr: 2.513e-06, eta: 0:28:19, time: 0.292, data_time: 0.058, memory: 9544, decode.loss_ce: 0.1258, decode.acc_seg: 95.0841, loss: 0.1258 2023-01-06 10:08:50,930 - mmseg - INFO - Iter [153350/160000] lr: 2.494e-06, eta: 0:28:06, time: 0.248, data_time: 0.055, memory: 9544, decode.loss_ce: 0.1190, decode.acc_seg: 95.3205, loss: 0.1190 2023-01-06 10:09:03,182 - mmseg - INFO - Iter [153400/160000] lr: 2.475e-06, eta: 0:27:53, time: 0.245, data_time: 0.015, memory: 9544, decode.loss_ce: 0.1344, decode.acc_seg: 94.7358, loss: 0.1344 2023-01-06 10:09:15,615 - mmseg - INFO - Iter [153450/160000] lr: 2.457e-06, eta: 0:27:41, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1317, decode.acc_seg: 94.6784, loss: 0.1317 2023-01-06 10:09:27,918 - mmseg - INFO - Iter [153500/160000] lr: 2.438e-06, eta: 0:27:28, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1147, decode.acc_seg: 95.2454, loss: 0.1147 2023-01-06 10:09:40,158 - mmseg - INFO - Iter [153550/160000] lr: 2.419e-06, eta: 0:27:15, time: 0.245, data_time: 0.035, memory: 9544, decode.loss_ce: 0.1207, decode.acc_seg: 95.2609, loss: 0.1207 2023-01-06 10:09:52,384 - mmseg - INFO - Iter [153600/160000] lr: 2.400e-06, eta: 0:27:03, time: 0.244, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1350, decode.acc_seg: 94.6534, loss: 0.1350 2023-01-06 10:10:06,873 - mmseg - INFO - Iter [153650/160000] lr: 2.382e-06, eta: 0:26:50, time: 0.289, data_time: 0.054, memory: 9544, decode.loss_ce: 0.1225, decode.acc_seg: 95.1505, loss: 0.1225 2023-01-06 10:10:19,053 - mmseg - INFO - Iter [153700/160000] lr: 2.363e-06, eta: 0:26:37, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1354, decode.acc_seg: 94.6611, loss: 0.1354 2023-01-06 10:10:31,188 - mmseg - INFO - Iter [153750/160000] lr: 2.344e-06, eta: 0:26:24, time: 0.243, data_time: 0.018, memory: 9544, decode.loss_ce: 0.1194, decode.acc_seg: 95.0956, loss: 0.1194 2023-01-06 10:10:43,523 - mmseg - INFO - Iter [153800/160000] lr: 2.325e-06, eta: 0:26:12, time: 0.246, data_time: 0.014, memory: 9544, decode.loss_ce: 0.1239, decode.acc_seg: 94.9653, loss: 0.1239 2023-01-06 10:10:55,834 - mmseg - INFO - Iter [153850/160000] lr: 2.307e-06, eta: 0:25:59, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1247, decode.acc_seg: 95.0867, loss: 0.1247 2023-01-06 10:11:08,166 - mmseg - INFO - Iter [153900/160000] lr: 2.288e-06, eta: 0:25:46, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1352, decode.acc_seg: 94.6601, loss: 0.1352 2023-01-06 10:11:20,295 - mmseg - INFO - Iter [153950/160000] lr: 2.269e-06, eta: 0:25:34, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1213, decode.acc_seg: 95.1468, loss: 0.1213 2023-01-06 10:11:32,629 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 10:11:32,630 - mmseg - INFO - Iter [154000/160000] lr: 2.250e-06, eta: 0:25:21, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1358, decode.acc_seg: 94.6422, loss: 0.1358 2023-01-06 10:11:47,072 - mmseg - INFO - Iter [154050/160000] lr: 2.232e-06, eta: 0:25:08, time: 0.289, data_time: 0.056, memory: 9544, decode.loss_ce: 0.1303, decode.acc_seg: 94.8633, loss: 0.1303 2023-01-06 10:11:59,431 - mmseg - INFO - Iter [154100/160000] lr: 2.213e-06, eta: 0:24:56, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1309, decode.acc_seg: 94.7363, loss: 0.1309 2023-01-06 10:12:11,906 - mmseg - INFO - Iter [154150/160000] lr: 2.194e-06, eta: 0:24:43, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1267, decode.acc_seg: 94.8594, loss: 0.1267 2023-01-06 10:12:24,244 - mmseg - INFO - Iter [154200/160000] lr: 2.175e-06, eta: 0:24:30, time: 0.247, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1288, decode.acc_seg: 95.0154, loss: 0.1288 2023-01-06 10:12:36,325 - mmseg - INFO - Iter [154250/160000] lr: 2.157e-06, eta: 0:24:18, time: 0.242, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1267, decode.acc_seg: 94.9367, loss: 0.1267 2023-01-06 10:12:48,433 - mmseg - INFO - Iter [154300/160000] lr: 2.138e-06, eta: 0:24:05, time: 0.242, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1227, decode.acc_seg: 94.9869, loss: 0.1227 2023-01-06 10:13:00,608 - mmseg - INFO - Iter [154350/160000] lr: 2.119e-06, eta: 0:23:52, time: 0.243, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1242, decode.acc_seg: 94.9174, loss: 0.1242 2023-01-06 10:13:15,183 - mmseg - INFO - Iter [154400/160000] lr: 2.100e-06, eta: 0:23:40, time: 0.292, data_time: 0.060, memory: 9544, decode.loss_ce: 0.1287, decode.acc_seg: 94.7801, loss: 0.1287 2023-01-06 10:13:27,755 - mmseg - INFO - Iter [154450/160000] lr: 2.082e-06, eta: 0:23:27, time: 0.251, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1220, decode.acc_seg: 95.0232, loss: 0.1220 2023-01-06 10:13:39,914 - mmseg - INFO - Iter [154500/160000] lr: 2.063e-06, eta: 0:23:14, time: 0.244, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1292, decode.acc_seg: 94.9142, loss: 0.1292 2023-01-06 10:13:52,476 - mmseg - INFO - Iter [154550/160000] lr: 2.044e-06, eta: 0:23:02, time: 0.251, data_time: 0.017, memory: 9544, decode.loss_ce: 0.1341, decode.acc_seg: 94.7289, loss: 0.1341 2023-01-06 10:14:04,703 - mmseg - INFO - Iter [154600/160000] lr: 2.025e-06, eta: 0:22:49, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1265, decode.acc_seg: 94.8697, loss: 0.1265 2023-01-06 10:14:17,285 - mmseg - INFO - Iter [154650/160000] lr: 2.007e-06, eta: 0:22:36, time: 0.252, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1348, decode.acc_seg: 94.6197, loss: 0.1348 2023-01-06 10:14:29,382 - mmseg - INFO - Iter [154700/160000] lr: 1.988e-06, eta: 0:22:23, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1297, decode.acc_seg: 94.8840, loss: 0.1297 2023-01-06 10:14:41,521 - mmseg - INFO - Iter [154750/160000] lr: 1.969e-06, eta: 0:22:11, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1213, decode.acc_seg: 95.1378, loss: 0.1213 2023-01-06 10:14:56,079 - mmseg - INFO - Iter [154800/160000] lr: 1.950e-06, eta: 0:21:58, time: 0.292, data_time: 0.084, memory: 9544, decode.loss_ce: 0.1285, decode.acc_seg: 95.0198, loss: 0.1285 2023-01-06 10:15:08,348 - mmseg - INFO - Iter [154850/160000] lr: 1.932e-06, eta: 0:21:45, time: 0.245, data_time: 0.061, memory: 9544, decode.loss_ce: 0.1201, decode.acc_seg: 95.2138, loss: 0.1201 2023-01-06 10:15:20,476 - mmseg - INFO - Iter [154900/160000] lr: 1.913e-06, eta: 0:21:33, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1245, decode.acc_seg: 94.9976, loss: 0.1245 2023-01-06 10:15:32,647 - mmseg - INFO - Iter [154950/160000] lr: 1.894e-06, eta: 0:21:20, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1253, decode.acc_seg: 94.9822, loss: 0.1253 2023-01-06 10:15:45,083 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 10:15:45,084 - mmseg - INFO - Iter [155000/160000] lr: 1.875e-06, eta: 0:21:07, time: 0.249, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1235, decode.acc_seg: 95.1056, loss: 0.1235 2023-01-06 10:15:57,316 - mmseg - INFO - Iter [155050/160000] lr: 1.857e-06, eta: 0:20:55, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1233, decode.acc_seg: 95.0526, loss: 0.1233 2023-01-06 10:16:09,380 - mmseg - INFO - Iter [155100/160000] lr: 1.838e-06, eta: 0:20:42, time: 0.242, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1253, decode.acc_seg: 95.0235, loss: 0.1253 2023-01-06 10:16:23,954 - mmseg - INFO - Iter [155150/160000] lr: 1.819e-06, eta: 0:20:29, time: 0.291, data_time: 0.063, memory: 9544, decode.loss_ce: 0.1254, decode.acc_seg: 94.9715, loss: 0.1254 2023-01-06 10:16:36,037 - mmseg - INFO - Iter [155200/160000] lr: 1.800e-06, eta: 0:20:17, time: 0.242, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1234, decode.acc_seg: 95.0829, loss: 0.1234 2023-01-06 10:16:48,224 - mmseg - INFO - Iter [155250/160000] lr: 1.782e-06, eta: 0:20:04, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1284, decode.acc_seg: 94.8837, loss: 0.1284 2023-01-06 10:17:00,509 - mmseg - INFO - Iter [155300/160000] lr: 1.763e-06, eta: 0:19:51, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1341, decode.acc_seg: 94.6745, loss: 0.1341 2023-01-06 10:17:13,028 - mmseg - INFO - Iter [155350/160000] lr: 1.744e-06, eta: 0:19:39, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1247, decode.acc_seg: 95.0429, loss: 0.1247 2023-01-06 10:17:25,245 - mmseg - INFO - Iter [155400/160000] lr: 1.725e-06, eta: 0:19:26, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1302, decode.acc_seg: 94.7884, loss: 0.1302 2023-01-06 10:17:37,424 - mmseg - INFO - Iter [155450/160000] lr: 1.707e-06, eta: 0:19:13, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1273, decode.acc_seg: 94.9265, loss: 0.1273 2023-01-06 10:17:51,984 - mmseg - INFO - Iter [155500/160000] lr: 1.688e-06, eta: 0:19:01, time: 0.291, data_time: 0.054, memory: 9544, decode.loss_ce: 0.1292, decode.acc_seg: 94.7101, loss: 0.1292 2023-01-06 10:18:04,059 - mmseg - INFO - Iter [155550/160000] lr: 1.669e-06, eta: 0:18:48, time: 0.242, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1328, decode.acc_seg: 94.6997, loss: 0.1328 2023-01-06 10:18:16,293 - mmseg - INFO - Iter [155600/160000] lr: 1.650e-06, eta: 0:18:35, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1262, decode.acc_seg: 94.9662, loss: 0.1262 2023-01-06 10:18:28,505 - mmseg - INFO - Iter [155650/160000] lr: 1.632e-06, eta: 0:18:23, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1202, decode.acc_seg: 95.0917, loss: 0.1202 2023-01-06 10:18:40,677 - mmseg - INFO - Iter [155700/160000] lr: 1.613e-06, eta: 0:18:10, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1264, decode.acc_seg: 94.9695, loss: 0.1264 2023-01-06 10:18:53,210 - mmseg - INFO - Iter [155750/160000] lr: 1.594e-06, eta: 0:17:57, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1315, decode.acc_seg: 94.8054, loss: 0.1315 2023-01-06 10:19:05,330 - mmseg - INFO - Iter [155800/160000] lr: 1.575e-06, eta: 0:17:44, time: 0.242, data_time: 0.024, memory: 9544, decode.loss_ce: 0.1244, decode.acc_seg: 95.0699, loss: 0.1244 2023-01-06 10:19:17,748 - mmseg - INFO - Iter [155850/160000] lr: 1.557e-06, eta: 0:17:32, time: 0.249, data_time: 0.085, memory: 9544, decode.loss_ce: 0.1307, decode.acc_seg: 94.7923, loss: 0.1307 2023-01-06 10:19:32,278 - mmseg - INFO - Iter [155900/160000] lr: 1.538e-06, eta: 0:17:19, time: 0.291, data_time: 0.111, memory: 9544, decode.loss_ce: 0.1274, decode.acc_seg: 94.8837, loss: 0.1274 2023-01-06 10:19:44,629 - mmseg - INFO - Iter [155950/160000] lr: 1.519e-06, eta: 0:17:06, time: 0.247, data_time: 0.014, memory: 9544, decode.loss_ce: 0.1261, decode.acc_seg: 95.0267, loss: 0.1261 2023-01-06 10:19:57,199 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 10:19:57,201 - mmseg - INFO - Iter [156000/160000] lr: 1.500e-06, eta: 0:16:54, time: 0.251, data_time: 0.026, memory: 9544, decode.loss_ce: 0.1254, decode.acc_seg: 94.8688, loss: 0.1254 2023-01-06 10:20:09,318 - mmseg - INFO - Iter [156050/160000] lr: 1.482e-06, eta: 0:16:41, time: 0.243, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1281, decode.acc_seg: 94.8943, loss: 0.1281 2023-01-06 10:20:21,588 - mmseg - INFO - Iter [156100/160000] lr: 1.463e-06, eta: 0:16:28, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1277, decode.acc_seg: 95.0874, loss: 0.1277 2023-01-06 10:20:33,868 - mmseg - INFO - Iter [156150/160000] lr: 1.444e-06, eta: 0:16:16, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1226, decode.acc_seg: 95.1084, loss: 0.1226 2023-01-06 10:20:46,085 - mmseg - INFO - Iter [156200/160000] lr: 1.425e-06, eta: 0:16:03, time: 0.244, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1255, decode.acc_seg: 94.9718, loss: 0.1255 2023-01-06 10:21:00,508 - mmseg - INFO - Iter [156250/160000] lr: 1.407e-06, eta: 0:15:50, time: 0.288, data_time: 0.057, memory: 9544, decode.loss_ce: 0.1283, decode.acc_seg: 94.9330, loss: 0.1283 2023-01-06 10:21:12,814 - mmseg - INFO - Iter [156300/160000] lr: 1.388e-06, eta: 0:15:38, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1244, decode.acc_seg: 95.0670, loss: 0.1244 2023-01-06 10:21:25,010 - mmseg - INFO - Iter [156350/160000] lr: 1.369e-06, eta: 0:15:25, time: 0.244, data_time: 0.015, memory: 9544, decode.loss_ce: 0.1213, decode.acc_seg: 95.0901, loss: 0.1213 2023-01-06 10:21:37,590 - mmseg - INFO - Iter [156400/160000] lr: 1.350e-06, eta: 0:15:12, time: 0.252, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1288, decode.acc_seg: 94.7982, loss: 0.1288 2023-01-06 10:21:50,028 - mmseg - INFO - Iter [156450/160000] lr: 1.332e-06, eta: 0:15:00, time: 0.249, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1294, decode.acc_seg: 94.7807, loss: 0.1294 2023-01-06 10:22:02,215 - mmseg - INFO - Iter [156500/160000] lr: 1.313e-06, eta: 0:14:47, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1215, decode.acc_seg: 95.0770, loss: 0.1215 2023-01-06 10:22:14,406 - mmseg - INFO - Iter [156550/160000] lr: 1.294e-06, eta: 0:14:34, time: 0.244, data_time: 0.030, memory: 9544, decode.loss_ce: 0.1275, decode.acc_seg: 95.0124, loss: 0.1275 2023-01-06 10:22:26,754 - mmseg - INFO - Iter [156600/160000] lr: 1.275e-06, eta: 0:14:22, time: 0.247, data_time: 0.023, memory: 9544, decode.loss_ce: 0.1271, decode.acc_seg: 94.8248, loss: 0.1271 2023-01-06 10:22:41,312 - mmseg - INFO - Iter [156650/160000] lr: 1.257e-06, eta: 0:14:09, time: 0.291, data_time: 0.057, memory: 9544, decode.loss_ce: 0.1328, decode.acc_seg: 94.6998, loss: 0.1328 2023-01-06 10:22:53,510 - mmseg - INFO - Iter [156700/160000] lr: 1.238e-06, eta: 0:13:56, time: 0.244, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1205, decode.acc_seg: 95.2093, loss: 0.1205 2023-01-06 10:23:05,940 - mmseg - INFO - Iter [156750/160000] lr: 1.219e-06, eta: 0:13:44, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1312, decode.acc_seg: 94.8227, loss: 0.1312 2023-01-06 10:23:18,199 - mmseg - INFO - Iter [156800/160000] lr: 1.200e-06, eta: 0:13:31, time: 0.245, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1232, decode.acc_seg: 95.0502, loss: 0.1232 2023-01-06 10:23:30,717 - mmseg - INFO - Iter [156850/160000] lr: 1.182e-06, eta: 0:13:18, time: 0.250, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1265, decode.acc_seg: 94.8970, loss: 0.1265 2023-01-06 10:23:42,848 - mmseg - INFO - Iter [156900/160000] lr: 1.163e-06, eta: 0:13:06, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1357, decode.acc_seg: 94.7411, loss: 0.1357 2023-01-06 10:23:55,318 - mmseg - INFO - Iter [156950/160000] lr: 1.144e-06, eta: 0:12:53, time: 0.249, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1205, decode.acc_seg: 95.2117, loss: 0.1205 2023-01-06 10:24:09,729 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 10:24:09,730 - mmseg - INFO - Iter [157000/160000] lr: 1.125e-06, eta: 0:12:40, time: 0.288, data_time: 0.061, memory: 9544, decode.loss_ce: 0.1221, decode.acc_seg: 95.0484, loss: 0.1221 2023-01-06 10:24:22,220 - mmseg - INFO - Iter [157050/160000] lr: 1.107e-06, eta: 0:12:28, time: 0.249, data_time: 0.039, memory: 9544, decode.loss_ce: 0.1493, decode.acc_seg: 94.4920, loss: 0.1493 2023-01-06 10:24:34,482 - mmseg - INFO - Iter [157100/160000] lr: 1.088e-06, eta: 0:12:15, time: 0.246, data_time: 0.035, memory: 9544, decode.loss_ce: 0.1196, decode.acc_seg: 95.2062, loss: 0.1196 2023-01-06 10:24:46,911 - mmseg - INFO - Iter [157150/160000] lr: 1.069e-06, eta: 0:12:02, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1369, decode.acc_seg: 94.5184, loss: 0.1369 2023-01-06 10:24:59,054 - mmseg - INFO - Iter [157200/160000] lr: 1.050e-06, eta: 0:11:49, time: 0.243, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1226, decode.acc_seg: 95.1211, loss: 0.1226 2023-01-06 10:25:11,297 - mmseg - INFO - Iter [157250/160000] lr: 1.032e-06, eta: 0:11:37, time: 0.245, data_time: 0.025, memory: 9544, decode.loss_ce: 0.1275, decode.acc_seg: 94.9851, loss: 0.1275 2023-01-06 10:25:23,609 - mmseg - INFO - Iter [157300/160000] lr: 1.013e-06, eta: 0:11:24, time: 0.246, data_time: 0.017, memory: 9544, decode.loss_ce: 0.1269, decode.acc_seg: 94.8153, loss: 0.1269 2023-01-06 10:25:35,956 - mmseg - INFO - Iter [157350/160000] lr: 9.941e-07, eta: 0:11:11, time: 0.247, data_time: 0.036, memory: 9544, decode.loss_ce: 0.1246, decode.acc_seg: 94.9591, loss: 0.1246 2023-01-06 10:25:50,372 - mmseg - INFO - Iter [157400/160000] lr: 9.754e-07, eta: 0:10:59, time: 0.288, data_time: 0.058, memory: 9544, decode.loss_ce: 0.1327, decode.acc_seg: 94.6404, loss: 0.1327 2023-01-06 10:26:02,810 - mmseg - INFO - Iter [157450/160000] lr: 9.566e-07, eta: 0:10:46, time: 0.248, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1298, decode.acc_seg: 94.8026, loss: 0.1298 2023-01-06 10:26:14,988 - mmseg - INFO - Iter [157500/160000] lr: 9.379e-07, eta: 0:10:33, time: 0.244, data_time: 0.018, memory: 9544, decode.loss_ce: 0.1293, decode.acc_seg: 94.8671, loss: 0.1293 2023-01-06 10:26:27,021 - mmseg - INFO - Iter [157550/160000] lr: 9.191e-07, eta: 0:10:21, time: 0.241, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1197, decode.acc_seg: 95.1906, loss: 0.1197 2023-01-06 10:26:39,446 - mmseg - INFO - Iter [157600/160000] lr: 9.004e-07, eta: 0:10:08, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1279, decode.acc_seg: 94.8062, loss: 0.1279 2023-01-06 10:26:51,636 - mmseg - INFO - Iter [157650/160000] lr: 8.816e-07, eta: 0:09:55, time: 0.244, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1228, decode.acc_seg: 95.1180, loss: 0.1228 2023-01-06 10:27:03,948 - mmseg - INFO - Iter [157700/160000] lr: 8.629e-07, eta: 0:09:43, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1325, decode.acc_seg: 94.6817, loss: 0.1325 2023-01-06 10:27:18,455 - mmseg - INFO - Iter [157750/160000] lr: 8.441e-07, eta: 0:09:30, time: 0.290, data_time: 0.055, memory: 9544, decode.loss_ce: 0.1237, decode.acc_seg: 95.0273, loss: 0.1237 2023-01-06 10:27:30,650 - mmseg - INFO - Iter [157800/160000] lr: 8.254e-07, eta: 0:09:17, time: 0.244, data_time: 0.015, memory: 9544, decode.loss_ce: 0.1127, decode.acc_seg: 95.4122, loss: 0.1127 2023-01-06 10:27:42,877 - mmseg - INFO - Iter [157850/160000] lr: 8.066e-07, eta: 0:09:05, time: 0.244, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1259, decode.acc_seg: 95.0613, loss: 0.1259 2023-01-06 10:27:55,350 - mmseg - INFO - Iter [157900/160000] lr: 7.879e-07, eta: 0:08:52, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1235, decode.acc_seg: 95.0164, loss: 0.1235 2023-01-06 10:28:07,351 - mmseg - INFO - Iter [157950/160000] lr: 7.691e-07, eta: 0:08:39, time: 0.240, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1186, decode.acc_seg: 95.1198, loss: 0.1186 2023-01-06 10:28:19,763 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 10:28:19,764 - mmseg - INFO - Iter [158000/160000] lr: 7.504e-07, eta: 0:08:27, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1298, decode.acc_seg: 94.8712, loss: 0.1298 2023-01-06 10:28:31,889 - mmseg - INFO - Iter [158050/160000] lr: 7.316e-07, eta: 0:08:14, time: 0.243, data_time: 0.037, memory: 9544, decode.loss_ce: 0.1329, decode.acc_seg: 94.8035, loss: 0.1329 2023-01-06 10:28:44,167 - mmseg - INFO - Iter [158100/160000] lr: 7.129e-07, eta: 0:08:01, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1225, decode.acc_seg: 95.1147, loss: 0.1225 2023-01-06 10:28:58,767 - mmseg - INFO - Iter [158150/160000] lr: 6.941e-07, eta: 0:07:49, time: 0.292, data_time: 0.063, memory: 9544, decode.loss_ce: 0.1211, decode.acc_seg: 95.1643, loss: 0.1211 2023-01-06 10:29:10,825 - mmseg - INFO - Iter [158200/160000] lr: 6.754e-07, eta: 0:07:36, time: 0.241, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1273, decode.acc_seg: 94.9990, loss: 0.1273 2023-01-06 10:29:23,119 - mmseg - INFO - Iter [158250/160000] lr: 6.566e-07, eta: 0:07:23, time: 0.246, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1256, decode.acc_seg: 94.9242, loss: 0.1256 2023-01-06 10:29:35,632 - mmseg - INFO - Iter [158300/160000] lr: 6.379e-07, eta: 0:07:11, time: 0.250, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1294, decode.acc_seg: 94.8797, loss: 0.1294 2023-01-06 10:29:47,722 - mmseg - INFO - Iter [158350/160000] lr: 6.191e-07, eta: 0:06:58, time: 0.242, data_time: 0.026, memory: 9544, decode.loss_ce: 0.1277, decode.acc_seg: 94.8549, loss: 0.1277 2023-01-06 10:30:00,229 - mmseg - INFO - Iter [158400/160000] lr: 6.004e-07, eta: 0:06:45, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1330, decode.acc_seg: 94.8445, loss: 0.1330 2023-01-06 10:30:12,504 - mmseg - INFO - Iter [158450/160000] lr: 5.816e-07, eta: 0:06:32, time: 0.246, data_time: 0.050, memory: 9544, decode.loss_ce: 0.1238, decode.acc_seg: 95.0301, loss: 0.1238 2023-01-06 10:30:26,929 - mmseg - INFO - Iter [158500/160000] lr: 5.629e-07, eta: 0:06:20, time: 0.289, data_time: 0.090, memory: 9544, decode.loss_ce: 0.1191, decode.acc_seg: 95.1874, loss: 0.1191 2023-01-06 10:30:39,100 - mmseg - INFO - Iter [158550/160000] lr: 5.441e-07, eta: 0:06:07, time: 0.243, data_time: 0.013, memory: 9544, decode.loss_ce: 0.1224, decode.acc_seg: 95.1200, loss: 0.1224 2023-01-06 10:30:51,419 - mmseg - INFO - Iter [158600/160000] lr: 5.254e-07, eta: 0:05:54, time: 0.246, data_time: 0.023, memory: 9544, decode.loss_ce: 0.1290, decode.acc_seg: 94.9482, loss: 0.1290 2023-01-06 10:31:03,965 - mmseg - INFO - Iter [158650/160000] lr: 5.066e-07, eta: 0:05:42, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1184, decode.acc_seg: 95.1366, loss: 0.1184 2023-01-06 10:31:16,228 - mmseg - INFO - Iter [158700/160000] lr: 4.879e-07, eta: 0:05:29, time: 0.245, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1237, decode.acc_seg: 94.8901, loss: 0.1237 2023-01-06 10:31:28,522 - mmseg - INFO - Iter [158750/160000] lr: 4.691e-07, eta: 0:05:16, time: 0.246, data_time: 0.011, memory: 9544, decode.loss_ce: 0.1229, decode.acc_seg: 95.2123, loss: 0.1229 2023-01-06 10:31:40,874 - mmseg - INFO - Iter [158800/160000] lr: 4.504e-07, eta: 0:05:04, time: 0.247, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1344, decode.acc_seg: 94.7336, loss: 0.1344 2023-01-06 10:31:55,286 - mmseg - INFO - Iter [158850/160000] lr: 4.316e-07, eta: 0:04:51, time: 0.288, data_time: 0.062, memory: 9544, decode.loss_ce: 0.1256, decode.acc_seg: 94.9300, loss: 0.1256 2023-01-06 10:32:07,507 - mmseg - INFO - Iter [158900/160000] lr: 4.129e-07, eta: 0:04:38, time: 0.244, data_time: 0.014, memory: 9544, decode.loss_ce: 0.1261, decode.acc_seg: 95.0049, loss: 0.1261 2023-01-06 10:32:19,678 - mmseg - INFO - Iter [158950/160000] lr: 3.941e-07, eta: 0:04:26, time: 0.244, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1275, decode.acc_seg: 94.8191, loss: 0.1275 2023-01-06 10:32:31,909 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 10:32:31,910 - mmseg - INFO - Iter [159000/160000] lr: 3.754e-07, eta: 0:04:13, time: 0.245, data_time: 0.029, memory: 9544, decode.loss_ce: 0.1183, decode.acc_seg: 95.2435, loss: 0.1183 2023-01-06 10:32:44,044 - mmseg - INFO - Iter [159050/160000] lr: 3.566e-07, eta: 0:04:00, time: 0.243, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1212, decode.acc_seg: 95.2065, loss: 0.1212 2023-01-06 10:32:56,552 - mmseg - INFO - Iter [159100/160000] lr: 3.379e-07, eta: 0:03:48, time: 0.250, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1415, decode.acc_seg: 94.4517, loss: 0.1415 2023-01-06 10:33:08,855 - mmseg - INFO - Iter [159150/160000] lr: 3.191e-07, eta: 0:03:35, time: 0.246, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1231, decode.acc_seg: 95.0841, loss: 0.1231 2023-01-06 10:33:21,242 - mmseg - INFO - Iter [159200/160000] lr: 3.004e-07, eta: 0:03:22, time: 0.248, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1234, decode.acc_seg: 95.0170, loss: 0.1234 2023-01-06 10:33:35,607 - mmseg - INFO - Iter [159250/160000] lr: 2.816e-07, eta: 0:03:10, time: 0.287, data_time: 0.064, memory: 9544, decode.loss_ce: 0.1221, decode.acc_seg: 95.0465, loss: 0.1221 2023-01-06 10:33:47,873 - mmseg - INFO - Iter [159300/160000] lr: 2.629e-07, eta: 0:02:57, time: 0.245, data_time: 0.020, memory: 9544, decode.loss_ce: 0.1297, decode.acc_seg: 94.9307, loss: 0.1297 2023-01-06 10:34:00,424 - mmseg - INFO - Iter [159350/160000] lr: 2.441e-07, eta: 0:02:44, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1272, decode.acc_seg: 94.9375, loss: 0.1272 2023-01-06 10:34:12,456 - mmseg - INFO - Iter [159400/160000] lr: 2.254e-07, eta: 0:02:32, time: 0.240, data_time: 0.017, memory: 9544, decode.loss_ce: 0.1239, decode.acc_seg: 94.8186, loss: 0.1239 2023-01-06 10:34:25,291 - mmseg - INFO - Iter [159450/160000] lr: 2.066e-07, eta: 0:02:19, time: 0.257, data_time: 0.012, memory: 9544, decode.loss_ce: 0.1185, decode.acc_seg: 95.2589, loss: 0.1185 2023-01-06 10:34:37,824 - mmseg - INFO - Iter [159500/160000] lr: 1.879e-07, eta: 0:02:06, time: 0.251, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1294, decode.acc_seg: 94.7382, loss: 0.1294 2023-01-06 10:34:50,289 - mmseg - INFO - Iter [159550/160000] lr: 1.691e-07, eta: 0:01:54, time: 0.249, data_time: 0.010, memory: 9544, decode.loss_ce: 0.1200, decode.acc_seg: 95.1162, loss: 0.1200 2023-01-06 10:35:04,945 - mmseg - INFO - Iter [159600/160000] lr: 1.504e-07, eta: 0:01:41, time: 0.293, data_time: 0.057, memory: 9544, decode.loss_ce: 0.1292, decode.acc_seg: 94.7168, loss: 0.1292 2023-01-06 10:35:17,419 - mmseg - INFO - Iter [159650/160000] lr: 1.316e-07, eta: 0:01:28, time: 0.250, data_time: 0.028, memory: 9544, decode.loss_ce: 0.1309, decode.acc_seg: 94.7355, loss: 0.1309 2023-01-06 10:35:29,964 - mmseg - INFO - Iter [159700/160000] lr: 1.129e-07, eta: 0:01:16, time: 0.251, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1255, decode.acc_seg: 94.9696, loss: 0.1255 2023-01-06 10:35:42,295 - mmseg - INFO - Iter [159750/160000] lr: 9.413e-08, eta: 0:01:03, time: 0.247, data_time: 0.021, memory: 9544, decode.loss_ce: 0.1235, decode.acc_seg: 95.0400, loss: 0.1235 2023-01-06 10:35:54,614 - mmseg - INFO - Iter [159800/160000] lr: 7.537e-08, eta: 0:00:50, time: 0.247, data_time: 0.046, memory: 9544, decode.loss_ce: 0.1300, decode.acc_seg: 94.8880, loss: 0.1300 2023-01-06 10:36:07,064 - mmseg - INFO - Iter [159850/160000] lr: 5.663e-08, eta: 0:00:38, time: 0.249, data_time: 0.022, memory: 9544, decode.loss_ce: 0.1235, decode.acc_seg: 95.0714, loss: 0.1235 2023-01-06 10:36:19,710 - mmseg - INFO - Iter [159900/160000] lr: 3.787e-08, eta: 0:00:25, time: 0.253, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1223, decode.acc_seg: 94.9738, loss: 0.1223 2023-01-06 10:36:32,134 - mmseg - INFO - Iter [159950/160000] lr: 1.913e-08, eta: 0:00:12, time: 0.249, data_time: 0.009, memory: 9544, decode.loss_ce: 0.1261, decode.acc_seg: 94.8997, loss: 0.1261 2023-01-06 10:36:46,750 - mmseg - INFO - Saving checkpoint at 160000 iterations 2023-01-06 10:36:47,772 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 10:36:47,772 - mmseg - INFO - Iter [160000/160000] lr: 3.750e-10, eta: 0:00:00, time: 0.313, data_time: 0.060, memory: 9544, decode.loss_ce: 0.1329, decode.acc_seg: 94.8272, loss: 0.1329 2023-01-06 10:37:05,834 - mmseg - INFO - per class results: 2023-01-06 10:37:05,837 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 97.34 | 98.69 | | sidewalk | 78.93 | 88.06 | | building | 89.62 | 95.64 | | wall | 46.81 | 54.62 | | fence | 45.41 | 57.58 | | pole | 52.4 | 60.65 | | traffic light | 54.68 | 65.64 | | traffic sign | 67.32 | 73.63 | | vegetation | 90.91 | 96.17 | | terrain | 57.68 | 67.63 | | sky | 93.55 | 98.02 | | person | 71.56 | 85.84 | | rider | 41.04 | 51.82 | | car | 91.6 | 96.43 | | truck | 38.95 | 45.04 | | bus | 57.86 | 73.66 | | train | 41.79 | 51.81 | | motorcycle | 36.75 | 47.15 | | bicycle | 67.9 | 82.04 | +---------------+-------+-------+ 2023-01-06 10:37:05,837 - mmseg - INFO - Summary: 2023-01-06 10:37:05,837 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 94.39 | 64.32 | 73.16 | +-------+-------+-------+ 2023-01-06 10:37:05,838 - mmseg - INFO - Exp name: dest_simpatt-b0_1024x1024_160k_cityscapes.py 2023-01-06 10:37:05,838 - mmseg - INFO - Iter(val) [63] aAcc: 0.9439, mIoU: 0.6432, mAcc: 0.7316, IoU.road: 0.9734, IoU.sidewalk: 0.7893, IoU.building: 0.8962, IoU.wall: 0.4681, IoU.fence: 0.4541, IoU.pole: 0.5240, IoU.traffic light: 0.5468, IoU.traffic sign: 0.6732, IoU.vegetation: 0.9091, IoU.terrain: 0.5768, IoU.sky: 0.9355, IoU.person: 0.7156, IoU.rider: 0.4104, IoU.car: 0.9160, IoU.truck: 0.3895, IoU.bus: 0.5786, IoU.train: 0.4179, IoU.motorcycle: 0.3675, IoU.bicycle: 0.6790, Acc.road: 0.9869, Acc.sidewalk: 0.8806, Acc.building: 0.9564, Acc.wall: 0.5462, Acc.fence: 0.5758, Acc.pole: 0.6065, Acc.traffic light: 0.6564, Acc.traffic sign: 0.7363, Acc.vegetation: 0.9617, Acc.terrain: 0.6763, Acc.sky: 0.9802, Acc.person: 0.8584, Acc.rider: 0.5182, Acc.car: 0.9643, Acc.truck: 0.4504, Acc.bus: 0.7366, Acc.train: 0.5181, Acc.motorcycle: 0.4715, Acc.bicycle: 0.8204