2023-01-05 23:19:43,827 - mmseg - INFO - Multi-processing start method is `None` 2023-01-05 23:19:43,828 - mmseg - INFO - OpenCV num_threads is `64 2023-01-05 23:19:43,872 - 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 23:19:43,873 - mmseg - INFO - Distributed training: True 2023-01-05 23:19:44,303 - mmseg - INFO - Config: embed_dims = [64, 128, 250, 320] norm_cfg = dict(type='SyncBN', requires_grad=True) model = dict( type='EncoderDecoder', pretrained=None, backbone=dict( type='SimplifiedMixTransformer', in_channels=3, embed_dims=[64, 128, 250, 320], num_stages=4, num_layers=[3, 3, 6, 3], 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=[64, 128, 250, 320], in_index=[0, 1, 2, 3], channels=64, 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 23:19:50,585 - mmseg - INFO - Set random seed to 319453969, deterministic: False 2023-01-05 23:19:51,431 - 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([64, 3, 7, 7]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.0.projection.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.0.norm.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.0.norm.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.0.norm1.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.0.norm1.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.0.attn.q.weight - torch.Size([64, 64, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.0.attn.q.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.0.attn.k.weight - torch.Size([64, 64, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.0.attn.k.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.0.attn.proj.weight - torch.Size([64, 64, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.0.attn.proj.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.0.attn.sr.weight - torch.Size([64, 64, 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([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.0.attn.norm1.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.0.attn.norm1.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.0.norm2.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.0.norm2.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.0.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.0.1.0.ffn.dwconv.dwconv.bias - torch.Size([512]): 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([512, 64, 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([512]): 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([512]): 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([512]): 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([512]): 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([512]): 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([64, 512, 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([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.1.norm1.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.1.norm1.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.1.attn.q.weight - torch.Size([64, 64, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.1.attn.q.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.1.attn.k.weight - torch.Size([64, 64, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.1.attn.k.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.1.attn.proj.weight - torch.Size([64, 64, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.1.attn.proj.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.1.attn.sr.weight - torch.Size([64, 64, 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([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.1.attn.norm1.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.1.attn.norm1.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.1.norm2.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.1.norm2.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.1.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.0.1.1.ffn.dwconv.dwconv.bias - torch.Size([512]): 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([512, 64, 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([512]): 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([512]): 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([512]): 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([512]): 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([512]): 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([64, 512, 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([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.2.norm1.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.2.norm1.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.2.attn.q.weight - torch.Size([64, 64, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.2.attn.q.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.2.attn.k.weight - torch.Size([64, 64, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.2.attn.k.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.2.attn.proj.weight - torch.Size([64, 64, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.2.attn.proj.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.2.attn.sr.weight - torch.Size([64, 64, 8, 8]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.2.attn.sr.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.2.attn.norm1.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.2.attn.norm1.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.2.norm2.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.2.norm2.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.2.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.0.1.2.ffn.dwconv.dwconv.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.2.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.0.1.2.ffn.pre_layers.0.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.2.ffn.pre_layers.1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.2.ffn.pre_layers.1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.2.ffn.post_layers.0.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.2.ffn.post_layers.0.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.1.2.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.0.1.2.ffn.post_layers.3.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.2.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.2.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.0.projection.weight - torch.Size([128, 64, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.0.projection.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.0.norm.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.0.norm.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.0.norm1.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.0.norm1.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.0.attn.q.weight - torch.Size([128, 128, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.0.attn.q.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.0.attn.k.weight - torch.Size([128, 128, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.0.attn.k.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.0.attn.proj.weight - torch.Size([128, 128, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.0.attn.proj.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.0.attn.sr.weight - torch.Size([128, 128, 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([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.0.attn.norm1.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.0.attn.norm1.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.0.norm2.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.0.norm2.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.0.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.1.1.0.ffn.dwconv.dwconv.bias - torch.Size([1024]): 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([1024, 128, 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([1024]): 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([1024]): 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([1024]): 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([1024]): 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([1024]): 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([128, 1024, 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([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.1.norm1.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.1.norm1.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.1.attn.q.weight - torch.Size([128, 128, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.1.attn.q.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.1.attn.k.weight - torch.Size([128, 128, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.1.attn.k.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.1.attn.proj.weight - torch.Size([128, 128, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.1.attn.proj.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.1.attn.sr.weight - torch.Size([128, 128, 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([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.1.attn.norm1.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.1.attn.norm1.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.1.norm2.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.1.norm2.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.1.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.1.1.1.ffn.dwconv.dwconv.bias - torch.Size([1024]): 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([1024, 128, 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([1024]): 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([1024]): 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([1024]): 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([1024]): 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([1024]): 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([128, 1024, 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([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.2.norm1.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.2.norm1.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.2.attn.q.weight - torch.Size([128, 128, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.2.attn.q.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.2.attn.k.weight - torch.Size([128, 128, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.2.attn.k.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.2.attn.proj.weight - torch.Size([128, 128, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.2.attn.proj.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.2.attn.sr.weight - torch.Size([128, 128, 4, 4]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.2.attn.sr.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.2.attn.norm1.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.2.attn.norm1.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.2.norm2.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.2.norm2.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.2.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.1.1.2.ffn.dwconv.dwconv.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.2.ffn.pre_layers.0.weight - torch.Size([1024, 128, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.2.ffn.pre_layers.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.2.ffn.pre_layers.1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.2.ffn.pre_layers.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.2.ffn.post_layers.0.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.2.ffn.post_layers.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.2.ffn.post_layers.3.weight - torch.Size([128, 1024, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.1.2.ffn.post_layers.3.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.2.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.2.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.0.projection.weight - torch.Size([250, 128, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.0.projection.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.0.norm.weight - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.0.norm.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.0.norm1.weight - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.0.norm1.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.0.attn.q.weight - torch.Size([250, 250, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.0.attn.q.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.0.attn.k.weight - torch.Size([250, 250, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.0.attn.k.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.0.attn.proj.weight - torch.Size([250, 250, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.0.attn.proj.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.0.attn.sr.weight - torch.Size([250, 250, 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([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.0.attn.norm1.weight - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.0.attn.norm1.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.0.norm2.weight - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.0.norm2.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.0.ffn.dwconv.dwconv.weight - torch.Size([1000, 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([1000]): 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([1000, 250, 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([1000]): 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([1000]): 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([1000]): 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([1000]): 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([1000]): 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([250, 1000, 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([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.1.norm1.weight - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.1.norm1.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.1.attn.q.weight - torch.Size([250, 250, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.1.attn.q.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.1.attn.k.weight - torch.Size([250, 250, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.1.attn.k.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.1.attn.proj.weight - torch.Size([250, 250, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.1.attn.proj.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.1.attn.sr.weight - torch.Size([250, 250, 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([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.1.attn.norm1.weight - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.1.attn.norm1.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.1.norm2.weight - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.1.norm2.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.1.ffn.dwconv.dwconv.weight - torch.Size([1000, 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([1000]): 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([1000, 250, 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([1000]): 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([1000]): 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([1000]): 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([1000]): 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([1000]): 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([250, 1000, 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([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.2.norm1.weight - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.2.norm1.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.2.attn.q.weight - torch.Size([250, 250, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.2.attn.q.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.2.attn.k.weight - torch.Size([250, 250, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.2.attn.k.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.2.attn.proj.weight - torch.Size([250, 250, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.2.attn.proj.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.2.attn.sr.weight - torch.Size([250, 250, 2, 2]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.2.attn.sr.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.2.attn.norm1.weight - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.2.attn.norm1.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.2.norm2.weight - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.2.norm2.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.2.ffn.dwconv.dwconv.weight - torch.Size([1000, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.2.ffn.dwconv.dwconv.bias - torch.Size([1000]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.2.ffn.pre_layers.0.weight - torch.Size([1000, 250, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.2.ffn.pre_layers.0.bias - torch.Size([1000]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.2.ffn.pre_layers.1.weight - torch.Size([1000]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.2.ffn.pre_layers.1.bias - torch.Size([1000]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.2.ffn.post_layers.0.weight - torch.Size([1000]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.2.ffn.post_layers.0.bias - torch.Size([1000]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.2.ffn.post_layers.3.weight - torch.Size([250, 1000, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.2.ffn.post_layers.3.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.3.norm1.weight - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.3.norm1.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.3.attn.q.weight - torch.Size([250, 250, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.3.attn.q.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.3.attn.k.weight - torch.Size([250, 250, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.3.attn.k.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.3.attn.proj.weight - torch.Size([250, 250, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.3.attn.proj.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.3.attn.sr.weight - torch.Size([250, 250, 2, 2]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.3.attn.sr.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.3.attn.norm1.weight - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.3.attn.norm1.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.3.norm2.weight - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.3.norm2.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.3.ffn.dwconv.dwconv.weight - torch.Size([1000, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.3.ffn.dwconv.dwconv.bias - torch.Size([1000]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.3.ffn.pre_layers.0.weight - torch.Size([1000, 250, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.3.ffn.pre_layers.0.bias - torch.Size([1000]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.3.ffn.pre_layers.1.weight - torch.Size([1000]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.3.ffn.pre_layers.1.bias - torch.Size([1000]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.3.ffn.post_layers.0.weight - torch.Size([1000]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.3.ffn.post_layers.0.bias - torch.Size([1000]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.3.ffn.post_layers.3.weight - torch.Size([250, 1000, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.3.ffn.post_layers.3.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.4.norm1.weight - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.4.norm1.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.4.attn.q.weight - torch.Size([250, 250, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.4.attn.q.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.4.attn.k.weight - torch.Size([250, 250, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.4.attn.k.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.4.attn.proj.weight - torch.Size([250, 250, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.4.attn.proj.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.4.attn.sr.weight - torch.Size([250, 250, 2, 2]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.4.attn.sr.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.4.attn.norm1.weight - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.4.attn.norm1.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.4.norm2.weight - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.4.norm2.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.4.ffn.dwconv.dwconv.weight - torch.Size([1000, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.4.ffn.dwconv.dwconv.bias - torch.Size([1000]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.4.ffn.pre_layers.0.weight - torch.Size([1000, 250, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.4.ffn.pre_layers.0.bias - torch.Size([1000]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.4.ffn.pre_layers.1.weight - torch.Size([1000]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.4.ffn.pre_layers.1.bias - torch.Size([1000]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.4.ffn.post_layers.0.weight - torch.Size([1000]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.4.ffn.post_layers.0.bias - torch.Size([1000]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.4.ffn.post_layers.3.weight - torch.Size([250, 1000, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.4.ffn.post_layers.3.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.5.norm1.weight - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.5.norm1.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.5.attn.q.weight - torch.Size([250, 250, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.5.attn.q.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.5.attn.k.weight - torch.Size([250, 250, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.5.attn.k.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.5.attn.proj.weight - torch.Size([250, 250, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.5.attn.proj.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.5.attn.sr.weight - torch.Size([250, 250, 2, 2]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.5.attn.sr.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.5.attn.norm1.weight - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.5.attn.norm1.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.5.norm2.weight - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.5.norm2.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.5.ffn.dwconv.dwconv.weight - torch.Size([1000, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.5.ffn.dwconv.dwconv.bias - torch.Size([1000]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.5.ffn.pre_layers.0.weight - torch.Size([1000, 250, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.5.ffn.pre_layers.0.bias - torch.Size([1000]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.5.ffn.pre_layers.1.weight - torch.Size([1000]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.5.ffn.pre_layers.1.bias - torch.Size([1000]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.5.ffn.post_layers.0.weight - torch.Size([1000]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.5.ffn.post_layers.0.bias - torch.Size([1000]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.5.ffn.post_layers.3.weight - torch.Size([250, 1000, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.1.5.ffn.post_layers.3.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.2.weight - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.2.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.0.projection.weight - torch.Size([320, 250, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.0.projection.bias - torch.Size([320]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.0.norm.weight - torch.Size([320]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.0.norm.bias - torch.Size([320]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.0.norm1.weight - torch.Size([320]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.0.norm1.bias - torch.Size([320]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.0.attn.q.weight - torch.Size([320, 320, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.0.attn.q.bias - torch.Size([320]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.0.attn.k.weight - torch.Size([320, 320, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.0.attn.k.bias - torch.Size([320]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.0.attn.proj.weight - torch.Size([320, 320, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.0.attn.proj.bias - torch.Size([320]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.0.norm2.weight - torch.Size([320]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.0.norm2.bias - torch.Size([320]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.0.ffn.dwconv.dwconv.weight - torch.Size([1280, 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([1280]): 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([1280, 320, 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([1280]): 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([1280]): 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([1280]): 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([1280]): 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([1280]): 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([320, 1280, 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([320]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.1.norm1.weight - torch.Size([320]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.1.norm1.bias - torch.Size([320]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.1.attn.q.weight - torch.Size([320, 320, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.1.attn.q.bias - torch.Size([320]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.1.attn.k.weight - torch.Size([320, 320, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.1.attn.k.bias - torch.Size([320]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.1.attn.proj.weight - torch.Size([320, 320, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.1.attn.proj.bias - torch.Size([320]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.1.norm2.weight - torch.Size([320]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.1.norm2.bias - torch.Size([320]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.1.ffn.dwconv.dwconv.weight - torch.Size([1280, 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([1280]): 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([1280, 320, 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([1280]): 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([1280]): 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([1280]): 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([1280]): 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([1280]): 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([320, 1280, 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([320]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.2.norm1.weight - torch.Size([320]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.2.norm1.bias - torch.Size([320]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.2.attn.q.weight - torch.Size([320, 320, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.2.attn.q.bias - torch.Size([320]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.2.attn.k.weight - torch.Size([320, 320, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.2.attn.k.bias - torch.Size([320]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.2.attn.proj.weight - torch.Size([320, 320, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.2.attn.proj.bias - torch.Size([320]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.2.norm2.weight - torch.Size([320]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.2.norm2.bias - torch.Size([320]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.2.ffn.dwconv.dwconv.weight - torch.Size([1280, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.2.ffn.dwconv.dwconv.bias - torch.Size([1280]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.2.ffn.pre_layers.0.weight - torch.Size([1280, 320, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.2.ffn.pre_layers.0.bias - torch.Size([1280]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.2.ffn.pre_layers.1.weight - torch.Size([1280]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.2.ffn.pre_layers.1.bias - torch.Size([1280]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.2.ffn.post_layers.0.weight - torch.Size([1280]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.2.ffn.post_layers.0.bias - torch.Size([1280]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.2.ffn.post_layers.3.weight - torch.Size([320, 1280, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.1.2.ffn.post_layers.3.bias - torch.Size([320]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.2.weight - torch.Size([320]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.2.bias - torch.Size([320]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.conv_seg.weight - torch.Size([19, 64, 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([64, 64, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.convs.0.conv.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.convs.1.conv.weight - torch.Size([128, 128, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.convs.1.conv.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.convs.2.conv.weight - torch.Size([250, 250, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.convs.2.conv.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.convs.3.conv.weight - torch.Size([320, 320, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.convs.3.conv.bias - torch.Size([320]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.fuse_convs.0.conv.weight - torch.Size([64, 192, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.fuse_convs.0.conv.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.fuse_convs.1.conv.weight - torch.Size([128, 378, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.fuse_convs.1.conv.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.fuse_convs.2.conv.weight - torch.Size([250, 570, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.fuse_convs.2.conv.bias - torch.Size([250]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.fuse_convs.3.conv.weight - torch.Size([320, 320, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.fuse_convs.3.conv.bias - torch.Size([320]): The value is the same before and after calling `init_weights` of EncoderDecoder 2023-01-05 23:19:51,443 - mmseg - INFO - EncoderDecoder( (backbone): SimplifiedMixTransformer( (layers): ModuleList( (0): ModuleList( (0): SimplifiedPatchEmbed( (projection): Conv2d(3, 64, kernel_size=(7, 7), stride=(4, 4), padding=(3, 3)) (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=(8, 8), stride=(8, 8)) (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=(8, 8), stride=(8, 8)) (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): 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=(8, 8), stride=(8, 8)) (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) ) (1): ModuleList( (0): SimplifiedPatchEmbed( (projection): Conv2d(64, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) (norm): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (1): ModuleList( (0): SimpliefiedTransformerEncoderLayer( (norm1): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (attn): SimplifiedAttention( (q): Conv1d(128, 128, kernel_size=(1,), stride=(1,)) (k): Conv1d(128, 128, kernel_size=(1,), stride=(1,)) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Conv1d(128, 128, kernel_size=(1,), stride=(1,)) (proj_drop): Dropout(p=0.0, inplace=False) (sr): Conv2d(128, 128, kernel_size=(4, 4), stride=(4, 4)) (norm1): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (dropout_layer): DropPath() ) (norm2): SyncBatchNorm(128, 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(128, 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, 128, kernel_size=(1,), stride=(1,)) (4): Dropout(p=0.0, inplace=False) ) (dropout_layer): DropPath() ) ) (1): SimpliefiedTransformerEncoderLayer( (norm1): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (attn): SimplifiedAttention( (q): Conv1d(128, 128, kernel_size=(1,), stride=(1,)) (k): Conv1d(128, 128, kernel_size=(1,), stride=(1,)) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Conv1d(128, 128, kernel_size=(1,), stride=(1,)) (proj_drop): Dropout(p=0.0, inplace=False) (sr): Conv2d(128, 128, kernel_size=(4, 4), stride=(4, 4)) (norm1): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (dropout_layer): DropPath() ) (norm2): SyncBatchNorm(128, 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(128, 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, 128, kernel_size=(1,), stride=(1,)) (4): Dropout(p=0.0, inplace=False) ) (dropout_layer): DropPath() ) ) (2): SimpliefiedTransformerEncoderLayer( (norm1): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (attn): SimplifiedAttention( (q): Conv1d(128, 128, kernel_size=(1,), stride=(1,)) (k): Conv1d(128, 128, kernel_size=(1,), stride=(1,)) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Conv1d(128, 128, kernel_size=(1,), stride=(1,)) (proj_drop): Dropout(p=0.0, inplace=False) (sr): Conv2d(128, 128, kernel_size=(4, 4), stride=(4, 4)) (norm1): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (dropout_layer): DropPath() ) (norm2): SyncBatchNorm(128, 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(128, 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, 128, kernel_size=(1,), stride=(1,)) (4): Dropout(p=0.0, inplace=False) ) (dropout_layer): DropPath() ) ) ) (2): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (2): ModuleList( (0): SimplifiedPatchEmbed( (projection): Conv2d(128, 250, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) (norm): SyncBatchNorm(250, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (1): ModuleList( (0): SimpliefiedTransformerEncoderLayer( (norm1): SyncBatchNorm(250, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (attn): SimplifiedAttention( (q): Conv1d(250, 250, kernel_size=(1,), stride=(1,)) (k): Conv1d(250, 250, kernel_size=(1,), stride=(1,)) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Conv1d(250, 250, kernel_size=(1,), stride=(1,)) (proj_drop): Dropout(p=0.0, inplace=False) (sr): Conv2d(250, 250, kernel_size=(2, 2), stride=(2, 2)) (norm1): SyncBatchNorm(250, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (dropout_layer): DropPath() ) (norm2): SyncBatchNorm(250, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (ffn): MixFFN( (dwconv): DWConv( (dwconv): Conv2d(1000, 1000, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1000) ) (pre_layers): Sequential( (0): Conv1d(250, 1000, kernel_size=(1,), stride=(1,)) (1): SyncBatchNorm(1000, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (post_layers): Sequential( (0): SyncBatchNorm(1000, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (1): ReLU() (2): Dropout(p=0.0, inplace=False) (3): Conv1d(1000, 250, kernel_size=(1,), stride=(1,)) (4): Dropout(p=0.0, inplace=False) ) (dropout_layer): DropPath() ) ) (1): SimpliefiedTransformerEncoderLayer( (norm1): SyncBatchNorm(250, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (attn): SimplifiedAttention( (q): Conv1d(250, 250, kernel_size=(1,), stride=(1,)) (k): Conv1d(250, 250, kernel_size=(1,), stride=(1,)) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Conv1d(250, 250, kernel_size=(1,), stride=(1,)) (proj_drop): Dropout(p=0.0, inplace=False) (sr): Conv2d(250, 250, kernel_size=(2, 2), stride=(2, 2)) (norm1): SyncBatchNorm(250, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (dropout_layer): DropPath() ) (norm2): SyncBatchNorm(250, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (ffn): MixFFN( (dwconv): DWConv( (dwconv): Conv2d(1000, 1000, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1000) ) (pre_layers): Sequential( (0): Conv1d(250, 1000, kernel_size=(1,), stride=(1,)) (1): SyncBatchNorm(1000, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (post_layers): Sequential( (0): SyncBatchNorm(1000, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (1): ReLU() (2): Dropout(p=0.0, inplace=False) (3): Conv1d(1000, 250, kernel_size=(1,), stride=(1,)) (4): Dropout(p=0.0, inplace=False) ) (dropout_layer): DropPath() ) ) (2): SimpliefiedTransformerEncoderLayer( (norm1): SyncBatchNorm(250, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (attn): SimplifiedAttention( (q): Conv1d(250, 250, kernel_size=(1,), stride=(1,)) (k): Conv1d(250, 250, kernel_size=(1,), stride=(1,)) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Conv1d(250, 250, kernel_size=(1,), stride=(1,)) (proj_drop): Dropout(p=0.0, inplace=False) (sr): Conv2d(250, 250, kernel_size=(2, 2), stride=(2, 2)) (norm1): SyncBatchNorm(250, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (dropout_layer): DropPath() ) (norm2): SyncBatchNorm(250, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (ffn): MixFFN( (dwconv): DWConv( (dwconv): Conv2d(1000, 1000, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1000) ) (pre_layers): Sequential( (0): Conv1d(250, 1000, kernel_size=(1,), stride=(1,)) (1): SyncBatchNorm(1000, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (post_layers): Sequential( (0): SyncBatchNorm(1000, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (1): ReLU() (2): Dropout(p=0.0, inplace=False) (3): Conv1d(1000, 250, kernel_size=(1,), stride=(1,)) (4): Dropout(p=0.0, inplace=False) ) (dropout_layer): DropPath() ) ) (3): SimpliefiedTransformerEncoderLayer( (norm1): SyncBatchNorm(250, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (attn): SimplifiedAttention( (q): Conv1d(250, 250, kernel_size=(1,), stride=(1,)) (k): Conv1d(250, 250, kernel_size=(1,), stride=(1,)) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Conv1d(250, 250, kernel_size=(1,), stride=(1,)) (proj_drop): Dropout(p=0.0, inplace=False) (sr): Conv2d(250, 250, kernel_size=(2, 2), stride=(2, 2)) (norm1): SyncBatchNorm(250, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (dropout_layer): DropPath() ) (norm2): SyncBatchNorm(250, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (ffn): MixFFN( (dwconv): DWConv( (dwconv): Conv2d(1000, 1000, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1000) ) (pre_layers): Sequential( (0): Conv1d(250, 1000, kernel_size=(1,), stride=(1,)) (1): SyncBatchNorm(1000, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (post_layers): Sequential( (0): SyncBatchNorm(1000, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (1): ReLU() (2): Dropout(p=0.0, inplace=False) (3): Conv1d(1000, 250, kernel_size=(1,), stride=(1,)) (4): Dropout(p=0.0, inplace=False) ) (dropout_layer): DropPath() ) ) (4): SimpliefiedTransformerEncoderLayer( (norm1): SyncBatchNorm(250, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (attn): SimplifiedAttention( (q): Conv1d(250, 250, kernel_size=(1,), stride=(1,)) (k): Conv1d(250, 250, kernel_size=(1,), stride=(1,)) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Conv1d(250, 250, kernel_size=(1,), stride=(1,)) (proj_drop): Dropout(p=0.0, inplace=False) (sr): Conv2d(250, 250, kernel_size=(2, 2), stride=(2, 2)) (norm1): SyncBatchNorm(250, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (dropout_layer): DropPath() ) (norm2): SyncBatchNorm(250, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (ffn): MixFFN( (dwconv): DWConv( (dwconv): Conv2d(1000, 1000, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1000) ) (pre_layers): Sequential( (0): Conv1d(250, 1000, kernel_size=(1,), stride=(1,)) (1): SyncBatchNorm(1000, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (post_layers): Sequential( (0): SyncBatchNorm(1000, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (1): ReLU() (2): Dropout(p=0.0, inplace=False) (3): Conv1d(1000, 250, kernel_size=(1,), stride=(1,)) (4): Dropout(p=0.0, inplace=False) ) (dropout_layer): DropPath() ) ) (5): SimpliefiedTransformerEncoderLayer( (norm1): SyncBatchNorm(250, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (attn): SimplifiedAttention( (q): Conv1d(250, 250, kernel_size=(1,), stride=(1,)) (k): Conv1d(250, 250, kernel_size=(1,), stride=(1,)) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Conv1d(250, 250, kernel_size=(1,), stride=(1,)) (proj_drop): Dropout(p=0.0, inplace=False) (sr): Conv2d(250, 250, kernel_size=(2, 2), stride=(2, 2)) (norm1): SyncBatchNorm(250, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (dropout_layer): DropPath() ) (norm2): SyncBatchNorm(250, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (ffn): MixFFN( (dwconv): DWConv( (dwconv): Conv2d(1000, 1000, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1000) ) (pre_layers): Sequential( (0): Conv1d(250, 1000, kernel_size=(1,), stride=(1,)) (1): SyncBatchNorm(1000, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (post_layers): Sequential( (0): SyncBatchNorm(1000, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (1): ReLU() (2): Dropout(p=0.0, inplace=False) (3): Conv1d(1000, 250, kernel_size=(1,), stride=(1,)) (4): Dropout(p=0.0, inplace=False) ) (dropout_layer): DropPath() ) ) ) (2): SyncBatchNorm(250, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (3): ModuleList( (0): SimplifiedPatchEmbed( (projection): Conv2d(250, 320, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) (norm): SyncBatchNorm(320, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (1): ModuleList( (0): SimpliefiedTransformerEncoderLayer( (norm1): SyncBatchNorm(320, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (attn): SimplifiedAttention( (q): Conv1d(320, 320, kernel_size=(1,), stride=(1,)) (k): Conv1d(320, 320, kernel_size=(1,), stride=(1,)) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Conv1d(320, 320, kernel_size=(1,), stride=(1,)) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): DropPath() ) (norm2): SyncBatchNorm(320, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (ffn): MixFFN( (dwconv): DWConv( (dwconv): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) ) (pre_layers): Sequential( (0): Conv1d(320, 1280, kernel_size=(1,), stride=(1,)) (1): SyncBatchNorm(1280, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (post_layers): Sequential( (0): SyncBatchNorm(1280, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (1): ReLU() (2): Dropout(p=0.0, inplace=False) (3): Conv1d(1280, 320, kernel_size=(1,), stride=(1,)) (4): Dropout(p=0.0, inplace=False) ) (dropout_layer): DropPath() ) ) (1): SimpliefiedTransformerEncoderLayer( (norm1): SyncBatchNorm(320, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (attn): SimplifiedAttention( (q): Conv1d(320, 320, kernel_size=(1,), stride=(1,)) (k): Conv1d(320, 320, kernel_size=(1,), stride=(1,)) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Conv1d(320, 320, kernel_size=(1,), stride=(1,)) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): DropPath() ) (norm2): SyncBatchNorm(320, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (ffn): MixFFN( (dwconv): DWConv( (dwconv): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) ) (pre_layers): Sequential( (0): Conv1d(320, 1280, kernel_size=(1,), stride=(1,)) (1): SyncBatchNorm(1280, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (post_layers): Sequential( (0): SyncBatchNorm(1280, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (1): ReLU() (2): Dropout(p=0.0, inplace=False) (3): Conv1d(1280, 320, kernel_size=(1,), stride=(1,)) (4): Dropout(p=0.0, inplace=False) ) (dropout_layer): DropPath() ) ) (2): SimpliefiedTransformerEncoderLayer( (norm1): SyncBatchNorm(320, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (attn): SimplifiedAttention( (q): Conv1d(320, 320, kernel_size=(1,), stride=(1,)) (k): Conv1d(320, 320, kernel_size=(1,), stride=(1,)) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Conv1d(320, 320, kernel_size=(1,), stride=(1,)) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): DropPath() ) (norm2): SyncBatchNorm(320, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (ffn): MixFFN( (dwconv): DWConv( (dwconv): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) ) (pre_layers): Sequential( (0): Conv1d(320, 1280, kernel_size=(1,), stride=(1,)) (1): SyncBatchNorm(1280, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (post_layers): Sequential( (0): SyncBatchNorm(1280, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (1): ReLU() (2): Dropout(p=0.0, inplace=False) (3): Conv1d(1280, 320, kernel_size=(1,), stride=(1,)) (4): Dropout(p=0.0, inplace=False) ) (dropout_layer): DropPath() ) ) ) (2): SyncBatchNorm(320, 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(64, 19, kernel_size=(1, 1), stride=(1, 1)) (dropout): Dropout2d(p=0.1, inplace=False) (convs): ModuleList( (0): ConvModule( (conv): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1)) (activate): ReLU(inplace=True) ) (1): ConvModule( (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) (activate): ReLU(inplace=True) ) (2): ConvModule( (conv): Conv2d(250, 250, kernel_size=(1, 1), stride=(1, 1)) (activate): ReLU(inplace=True) ) (3): ConvModule( (conv): Conv2d(320, 320, kernel_size=(1, 1), stride=(1, 1)) (activate): ReLU(inplace=True) ) ) (fuse_convs): ModuleList( (0): ConvModule( (conv): Conv2d(192, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (activate): ReLU(inplace=True) ) (1): ConvModule( (conv): Conv2d(378, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (activate): ReLU(inplace=True) ) (2): ConvModule( (conv): Conv2d(570, 250, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (activate): ReLU(inplace=True) ) (3): ConvModule( (conv): Conv2d(320, 320, 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 23:19:51,678 - mmseg - INFO - Loaded 2975 images 2023-01-05 23:19:52,437 - mmseg - INFO - Loaded 500 images 2023-01-05 23:19:52,438 - mmseg - INFO - Start running, host: root@3920448, work_dir: /workspace/result/train_log 2023-01-05 23:19:52,439 - 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 23:19:52,439 - mmseg - INFO - workflow: [('train', 1)], max: 160000 iters 2023-01-05 23:19:52,440 - mmseg - INFO - Checkpoints will be saved to /workspace/result/train_log by HardDiskBackend. 2023-01-05 23:20:19,416 - mmseg - INFO - Iter [50/160000] lr: 1.959e-06, eta: 20:21:44, time: 0.458, data_time: 0.016, memory: 8466, decode.loss_ce: 2.5607, decode.acc_seg: 8.1654, loss: 2.5607 2023-01-05 23:20:36,037 - mmseg - INFO - Iter [100/160000] lr: 3.958e-06, eta: 17:33:37, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 1.7895, decode.acc_seg: 44.0387, loss: 1.7895 2023-01-05 23:20:53,024 - mmseg - INFO - Iter [150/160000] lr: 5.955e-06, eta: 16:43:55, time: 0.340, data_time: 0.010, memory: 8466, decode.loss_ce: 1.2727, decode.acc_seg: 54.8802, loss: 1.2727 2023-01-05 23:21:09,488 - mmseg - INFO - Iter [200/160000] lr: 7.950e-06, eta: 16:11:56, time: 0.329, data_time: 0.009, memory: 8466, decode.loss_ce: 1.2397, decode.acc_seg: 56.9920, loss: 1.2397 2023-01-05 23:21:26,220 - mmseg - INFO - Iter [250/160000] lr: 9.945e-06, eta: 15:55:29, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 1.1320, decode.acc_seg: 60.4625, loss: 1.1320 2023-01-05 23:21:42,621 - mmseg - INFO - Iter [300/160000] lr: 1.194e-05, eta: 15:41:30, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 1.0156, decode.acc_seg: 65.0762, loss: 1.0156 2023-01-05 23:21:59,417 - mmseg - INFO - Iter [350/160000] lr: 1.393e-05, eta: 15:34:27, time: 0.336, data_time: 0.009, memory: 8466, decode.loss_ce: 0.9551, decode.acc_seg: 66.3583, loss: 0.9551 2023-01-05 23:22:18,104 - mmseg - INFO - Iter [400/160000] lr: 1.592e-05, eta: 15:41:38, time: 0.374, data_time: 0.054, memory: 8466, decode.loss_ce: 0.9367, decode.acc_seg: 66.5756, loss: 0.9367 2023-01-05 23:22:35,300 - mmseg - INFO - Iter [450/160000] lr: 1.791e-05, eta: 15:38:21, time: 0.344, data_time: 0.010, memory: 8466, decode.loss_ce: 0.8879, decode.acc_seg: 69.3474, loss: 0.8879 2023-01-05 23:22:51,976 - mmseg - INFO - Iter [500/160000] lr: 1.990e-05, eta: 15:32:55, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.8853, decode.acc_seg: 70.0031, loss: 0.8853 2023-01-05 23:23:08,917 - mmseg - INFO - Iter [550/160000] lr: 2.188e-05, eta: 15:29:40, time: 0.339, data_time: 0.010, memory: 8466, decode.loss_ce: 0.8429, decode.acc_seg: 70.5165, loss: 0.8429 2023-01-05 23:23:25,758 - mmseg - INFO - Iter [600/160000] lr: 2.387e-05, eta: 15:26:25, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.8072, decode.acc_seg: 72.5602, loss: 0.8072 2023-01-05 23:23:42,873 - mmseg - INFO - Iter [650/160000] lr: 2.585e-05, eta: 15:24:54, time: 0.343, data_time: 0.010, memory: 8466, decode.loss_ce: 0.8459, decode.acc_seg: 70.9170, loss: 0.8459 2023-01-05 23:23:59,875 - mmseg - INFO - Iter [700/160000] lr: 2.784e-05, eta: 15:22:59, time: 0.340, data_time: 0.010, memory: 8466, decode.loss_ce: 0.7641, decode.acc_seg: 73.3201, loss: 0.7641 2023-01-05 23:24:19,293 - mmseg - INFO - Iter [750/160000] lr: 2.982e-05, eta: 15:29:58, time: 0.389, data_time: 0.055, memory: 8466, decode.loss_ce: 0.7682, decode.acc_seg: 73.3709, loss: 0.7682 2023-01-05 23:24:36,269 - mmseg - INFO - Iter [800/160000] lr: 3.180e-05, eta: 15:27:52, time: 0.339, data_time: 0.010, memory: 8466, decode.loss_ce: 0.7458, decode.acc_seg: 73.8791, loss: 0.7458 2023-01-05 23:24:52,779 - mmseg - INFO - Iter [850/160000] lr: 3.378e-05, eta: 15:24:32, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.7785, decode.acc_seg: 73.4340, loss: 0.7785 2023-01-05 23:25:09,681 - mmseg - INFO - Iter [900/160000] lr: 3.576e-05, eta: 15:22:41, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.7340, decode.acc_seg: 74.9967, loss: 0.7340 2023-01-05 23:25:26,489 - mmseg - INFO - Iter [950/160000] lr: 3.773e-05, eta: 15:20:45, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.7429, decode.acc_seg: 75.1329, loss: 0.7429 2023-01-05 23:25:43,069 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-05 23:25:43,070 - mmseg - INFO - Iter [1000/160000] lr: 3.971e-05, eta: 15:18:20, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.7241, decode.acc_seg: 75.4340, loss: 0.7241 2023-01-05 23:26:00,294 - mmseg - INFO - Iter [1050/160000] lr: 4.168e-05, eta: 15:17:49, time: 0.345, data_time: 0.010, memory: 8466, decode.loss_ce: 0.6929, decode.acc_seg: 76.5738, loss: 0.6929 2023-01-05 23:26:16,936 - mmseg - INFO - Iter [1100/160000] lr: 4.366e-05, eta: 15:15:51, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.6897, decode.acc_seg: 76.3142, loss: 0.6897 2023-01-05 23:26:35,839 - mmseg - INFO - Iter [1150/160000] lr: 4.563e-05, eta: 15:19:18, time: 0.378, data_time: 0.056, memory: 8466, decode.loss_ce: 0.6914, decode.acc_seg: 76.7088, loss: 0.6914 2023-01-05 23:26:52,751 - mmseg - INFO - Iter [1200/160000] lr: 4.760e-05, eta: 15:18:02, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.6830, decode.acc_seg: 77.1678, loss: 0.6830 2023-01-05 23:27:09,294 - mmseg - INFO - Iter [1250/160000] lr: 4.957e-05, eta: 15:16:03, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.6242, decode.acc_seg: 78.1603, loss: 0.6242 2023-01-05 23:27:25,979 - mmseg - INFO - Iter [1300/160000] lr: 5.154e-05, eta: 15:14:26, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.6681, decode.acc_seg: 77.2037, loss: 0.6681 2023-01-05 23:27:42,990 - mmseg - INFO - Iter [1350/160000] lr: 5.351e-05, eta: 15:13:37, time: 0.340, data_time: 0.010, memory: 8466, decode.loss_ce: 0.6485, decode.acc_seg: 77.5388, loss: 0.6485 2023-01-05 23:27:59,800 - mmseg - INFO - Iter [1400/160000] lr: 5.547e-05, eta: 15:12:29, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.6057, decode.acc_seg: 79.7518, loss: 0.6057 2023-01-05 23:28:16,654 - mmseg - INFO - Iter [1450/160000] lr: 5.744e-05, eta: 15:11:27, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.6128, decode.acc_seg: 78.9437, loss: 0.6128 2023-01-05 23:28:35,483 - mmseg - INFO - Iter [1500/160000] lr: 5.940e-05, eta: 15:13:57, time: 0.377, data_time: 0.057, memory: 8466, decode.loss_ce: 0.5744, decode.acc_seg: 80.1558, loss: 0.5744 2023-01-05 23:28:52,319 - mmseg - INFO - Iter [1550/160000] lr: 5.942e-05, eta: 15:12:50, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.6444, decode.acc_seg: 78.0279, loss: 0.6444 2023-01-05 23:29:08,996 - mmseg - INFO - Iter [1600/160000] lr: 5.940e-05, eta: 15:11:35, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.6151, decode.acc_seg: 78.9822, loss: 0.6151 2023-01-05 23:29:26,032 - mmseg - INFO - Iter [1650/160000] lr: 5.938e-05, eta: 15:10:55, time: 0.341, data_time: 0.010, memory: 8466, decode.loss_ce: 0.5979, decode.acc_seg: 79.6223, loss: 0.5979 2023-01-05 23:29:42,834 - mmseg - INFO - Iter [1700/160000] lr: 5.936e-05, eta: 15:09:56, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.5356, decode.acc_seg: 81.7540, loss: 0.5356 2023-01-05 23:29:59,634 - mmseg - INFO - Iter [1750/160000] lr: 5.934e-05, eta: 15:08:58, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.5725, decode.acc_seg: 80.3357, loss: 0.5725 2023-01-05 23:30:16,366 - mmseg - INFO - Iter [1800/160000] lr: 5.933e-05, eta: 15:07:57, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.5121, decode.acc_seg: 81.8882, loss: 0.5121 2023-01-05 23:30:32,897 - mmseg - INFO - Iter [1850/160000] lr: 5.931e-05, eta: 15:06:41, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.5381, decode.acc_seg: 81.1124, loss: 0.5381 2023-01-05 23:30:52,063 - mmseg - INFO - Iter [1900/160000] lr: 5.929e-05, eta: 15:09:06, time: 0.383, data_time: 0.055, memory: 8466, decode.loss_ce: 0.5351, decode.acc_seg: 81.1599, loss: 0.5351 2023-01-05 23:31:09,019 - mmseg - INFO - Iter [1950/160000] lr: 5.927e-05, eta: 15:08:25, time: 0.339, data_time: 0.011, memory: 8466, decode.loss_ce: 0.5448, decode.acc_seg: 81.3386, loss: 0.5448 2023-01-05 23:31:25,823 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-05 23:31:25,824 - mmseg - INFO - Iter [2000/160000] lr: 5.925e-05, eta: 15:07:34, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.5780, decode.acc_seg: 80.4708, loss: 0.5780 2023-01-05 23:31:42,821 - mmseg - INFO - Iter [2050/160000] lr: 5.923e-05, eta: 15:06:59, time: 0.340, data_time: 0.010, memory: 8466, decode.loss_ce: 0.5266, decode.acc_seg: 81.5131, loss: 0.5266 2023-01-05 23:31:59,914 - mmseg - INFO - Iter [2100/160000] lr: 5.921e-05, eta: 15:06:30, time: 0.342, data_time: 0.010, memory: 8466, decode.loss_ce: 0.4752, decode.acc_seg: 83.6124, loss: 0.4752 2023-01-05 23:32:16,680 - mmseg - INFO - Iter [2150/160000] lr: 5.919e-05, eta: 15:05:41, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.5640, decode.acc_seg: 80.4965, loss: 0.5640 2023-01-05 23:32:33,631 - mmseg - INFO - Iter [2200/160000] lr: 5.918e-05, eta: 15:05:04, time: 0.339, data_time: 0.010, memory: 8466, decode.loss_ce: 0.5024, decode.acc_seg: 82.5741, loss: 0.5024 2023-01-05 23:32:53,133 - mmseg - INFO - Iter [2250/160000] lr: 5.916e-05, eta: 15:07:28, time: 0.390, data_time: 0.055, memory: 8466, decode.loss_ce: 0.4898, decode.acc_seg: 82.9628, loss: 0.4898 2023-01-05 23:33:09,479 - mmseg - INFO - Iter [2300/160000] lr: 5.914e-05, eta: 15:06:08, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.4837, decode.acc_seg: 83.3370, loss: 0.4837 2023-01-05 23:33:25,857 - mmseg - INFO - Iter [2350/160000] lr: 5.912e-05, eta: 15:04:53, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.4700, decode.acc_seg: 84.0176, loss: 0.4700 2023-01-05 23:33:42,257 - mmseg - INFO - Iter [2400/160000] lr: 5.910e-05, eta: 15:03:42, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.5133, decode.acc_seg: 82.1835, loss: 0.5133 2023-01-05 23:33:58,882 - mmseg - INFO - Iter [2450/160000] lr: 5.908e-05, eta: 15:02:48, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.4699, decode.acc_seg: 83.7078, loss: 0.4699 2023-01-05 23:34:15,775 - mmseg - INFO - Iter [2500/160000] lr: 5.906e-05, eta: 15:02:12, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.4701, decode.acc_seg: 83.1773, loss: 0.4701 2023-01-05 23:34:32,311 - mmseg - INFO - Iter [2550/160000] lr: 5.904e-05, eta: 15:01:15, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.4290, decode.acc_seg: 84.9570, loss: 0.4290 2023-01-05 23:34:48,854 - mmseg - INFO - Iter [2600/160000] lr: 5.903e-05, eta: 15:00:18, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.4415, decode.acc_seg: 84.7286, loss: 0.4415 2023-01-05 23:35:07,898 - mmseg - INFO - Iter [2650/160000] lr: 5.901e-05, eta: 15:01:54, time: 0.381, data_time: 0.055, memory: 8466, decode.loss_ce: 0.4401, decode.acc_seg: 84.5068, loss: 0.4401 2023-01-05 23:35:24,509 - mmseg - INFO - Iter [2700/160000] lr: 5.899e-05, eta: 15:01:03, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.4566, decode.acc_seg: 84.3046, loss: 0.4566 2023-01-05 23:35:41,156 - mmseg - INFO - Iter [2750/160000] lr: 5.897e-05, eta: 15:00:14, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.5001, decode.acc_seg: 82.8741, loss: 0.5001 2023-01-05 23:35:57,804 - mmseg - INFO - Iter [2800/160000] lr: 5.895e-05, eta: 14:59:28, time: 0.333, data_time: 0.011, memory: 8466, decode.loss_ce: 0.4365, decode.acc_seg: 85.2958, loss: 0.4365 2023-01-05 23:36:14,121 - mmseg - INFO - Iter [2850/160000] lr: 5.893e-05, eta: 14:58:24, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.4763, decode.acc_seg: 83.6846, loss: 0.4763 2023-01-05 23:36:31,222 - mmseg - INFO - Iter [2900/160000] lr: 5.891e-05, eta: 14:58:04, time: 0.342, data_time: 0.010, memory: 8466, decode.loss_ce: 0.4461, decode.acc_seg: 84.3327, loss: 0.4461 2023-01-05 23:36:48,197 - mmseg - INFO - Iter [2950/160000] lr: 5.889e-05, eta: 14:57:37, time: 0.339, data_time: 0.010, memory: 8466, decode.loss_ce: 0.4212, decode.acc_seg: 85.1364, loss: 0.4212 2023-01-05 23:37:07,097 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-05 23:37:07,097 - mmseg - INFO - Iter [3000/160000] lr: 5.888e-05, eta: 14:58:52, time: 0.378, data_time: 0.055, memory: 8466, decode.loss_ce: 0.4700, decode.acc_seg: 83.3687, loss: 0.4700 2023-01-05 23:37:23,781 - mmseg - INFO - Iter [3050/160000] lr: 5.886e-05, eta: 14:58:09, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.4210, decode.acc_seg: 85.0425, loss: 0.4210 2023-01-05 23:37:40,758 - mmseg - INFO - Iter [3100/160000] lr: 5.884e-05, eta: 14:57:42, time: 0.340, data_time: 0.011, memory: 8466, decode.loss_ce: 0.4861, decode.acc_seg: 84.2055, loss: 0.4861 2023-01-05 23:37:57,630 - mmseg - INFO - Iter [3150/160000] lr: 5.882e-05, eta: 14:57:11, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.4577, decode.acc_seg: 84.5852, loss: 0.4577 2023-01-05 23:38:14,491 - mmseg - INFO - Iter [3200/160000] lr: 5.880e-05, eta: 14:56:39, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.4358, decode.acc_seg: 84.1255, loss: 0.4358 2023-01-05 23:38:31,110 - mmseg - INFO - Iter [3250/160000] lr: 5.878e-05, eta: 14:55:56, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.4233, decode.acc_seg: 85.4670, loss: 0.4233 2023-01-05 23:38:47,691 - mmseg - INFO - Iter [3300/160000] lr: 5.876e-05, eta: 14:55:11, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.4159, decode.acc_seg: 85.3649, loss: 0.4159 2023-01-05 23:39:06,645 - mmseg - INFO - Iter [3350/160000] lr: 5.874e-05, eta: 14:56:20, time: 0.379, data_time: 0.056, memory: 8466, decode.loss_ce: 0.4425, decode.acc_seg: 84.6462, loss: 0.4425 2023-01-05 23:39:23,342 - mmseg - INFO - Iter [3400/160000] lr: 5.873e-05, eta: 14:55:41, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.4169, decode.acc_seg: 85.4342, loss: 0.4169 2023-01-05 23:39:40,042 - mmseg - INFO - Iter [3450/160000] lr: 5.871e-05, eta: 14:55:02, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3812, decode.acc_seg: 86.0945, loss: 0.3812 2023-01-05 23:39:56,640 - mmseg - INFO - Iter [3500/160000] lr: 5.869e-05, eta: 14:54:21, time: 0.332, data_time: 0.011, memory: 8466, decode.loss_ce: 0.3934, decode.acc_seg: 86.3839, loss: 0.3934 2023-01-05 23:40:13,089 - mmseg - INFO - Iter [3550/160000] lr: 5.867e-05, eta: 14:53:33, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3851, decode.acc_seg: 86.4127, loss: 0.3851 2023-01-05 23:40:30,041 - mmseg - INFO - Iter [3600/160000] lr: 5.865e-05, eta: 14:53:07, time: 0.339, data_time: 0.010, memory: 8466, decode.loss_ce: 0.4021, decode.acc_seg: 85.9119, loss: 0.4021 2023-01-05 23:40:47,053 - mmseg - INFO - Iter [3650/160000] lr: 5.863e-05, eta: 14:52:46, time: 0.341, data_time: 0.011, memory: 8466, decode.loss_ce: 0.3895, decode.acc_seg: 86.3349, loss: 0.3895 2023-01-05 23:41:03,546 - mmseg - INFO - Iter [3700/160000] lr: 5.861e-05, eta: 14:52:02, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3901, decode.acc_seg: 86.1110, loss: 0.3901 2023-01-05 23:41:22,426 - mmseg - INFO - Iter [3750/160000] lr: 5.859e-05, eta: 14:52:58, time: 0.378, data_time: 0.055, memory: 8466, decode.loss_ce: 0.3988, decode.acc_seg: 86.2167, loss: 0.3988 2023-01-05 23:41:39,071 - mmseg - INFO - Iter [3800/160000] lr: 5.858e-05, eta: 14:52:20, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3968, decode.acc_seg: 86.2790, loss: 0.3968 2023-01-05 23:41:55,955 - mmseg - INFO - Iter [3850/160000] lr: 5.856e-05, eta: 14:51:53, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3789, decode.acc_seg: 86.7520, loss: 0.3789 2023-01-05 23:42:12,488 - mmseg - INFO - Iter [3900/160000] lr: 5.854e-05, eta: 14:51:12, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.4080, decode.acc_seg: 85.9942, loss: 0.4080 2023-01-05 23:42:29,757 - mmseg - INFO - Iter [3950/160000] lr: 5.852e-05, eta: 14:51:00, time: 0.345, data_time: 0.010, memory: 8466, decode.loss_ce: 0.4185, decode.acc_seg: 85.0440, loss: 0.4185 2023-01-05 23:42:46,646 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-05 23:42:46,647 - mmseg - INFO - Iter [4000/160000] lr: 5.850e-05, eta: 14:50:33, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.4025, decode.acc_seg: 85.8449, loss: 0.4025 2023-01-05 23:43:03,685 - mmseg - INFO - Iter [4050/160000] lr: 5.848e-05, eta: 14:50:13, time: 0.341, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3787, decode.acc_seg: 86.9932, loss: 0.3787 2023-01-05 23:43:22,401 - mmseg - INFO - Iter [4100/160000] lr: 5.846e-05, eta: 14:50:56, time: 0.374, data_time: 0.055, memory: 8466, decode.loss_ce: 0.3906, decode.acc_seg: 86.0993, loss: 0.3906 2023-01-05 23:43:39,277 - mmseg - INFO - Iter [4150/160000] lr: 5.844e-05, eta: 14:50:28, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3777, decode.acc_seg: 86.4874, loss: 0.3777 2023-01-05 23:43:56,206 - mmseg - INFO - Iter [4200/160000] lr: 5.843e-05, eta: 14:50:04, time: 0.339, data_time: 0.011, memory: 8466, decode.loss_ce: 0.3851, decode.acc_seg: 86.8736, loss: 0.3851 2023-01-05 23:44:13,373 - mmseg - INFO - Iter [4250/160000] lr: 5.841e-05, eta: 14:49:48, time: 0.343, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3706, decode.acc_seg: 86.8174, loss: 0.3706 2023-01-05 23:44:30,621 - mmseg - INFO - Iter [4300/160000] lr: 5.839e-05, eta: 14:49:34, time: 0.345, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3364, decode.acc_seg: 87.8926, loss: 0.3364 2023-01-05 23:44:47,280 - mmseg - INFO - Iter [4350/160000] lr: 5.837e-05, eta: 14:49:00, time: 0.333, data_time: 0.011, memory: 8466, decode.loss_ce: 0.3608, decode.acc_seg: 87.3107, loss: 0.3608 2023-01-05 23:45:04,042 - mmseg - INFO - Iter [4400/160000] lr: 5.835e-05, eta: 14:48:29, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3559, decode.acc_seg: 87.4325, loss: 0.3559 2023-01-05 23:45:20,544 - mmseg - INFO - Iter [4450/160000] lr: 5.833e-05, eta: 14:47:51, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.4115, decode.acc_seg: 85.4330, loss: 0.4115 2023-01-05 23:45:39,814 - mmseg - INFO - Iter [4500/160000] lr: 5.831e-05, eta: 14:48:48, time: 0.385, data_time: 0.055, memory: 8466, decode.loss_ce: 0.3981, decode.acc_seg: 85.4550, loss: 0.3981 2023-01-05 23:45:56,457 - mmseg - INFO - Iter [4550/160000] lr: 5.829e-05, eta: 14:48:13, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3856, decode.acc_seg: 86.2590, loss: 0.3856 2023-01-05 23:46:13,171 - mmseg - INFO - Iter [4600/160000] lr: 5.828e-05, eta: 14:47:41, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.3426, decode.acc_seg: 87.7049, loss: 0.3426 2023-01-05 23:46:29,916 - mmseg - INFO - Iter [4650/160000] lr: 5.826e-05, eta: 14:47:11, time: 0.335, data_time: 0.011, memory: 8466, decode.loss_ce: 0.3452, decode.acc_seg: 87.7718, loss: 0.3452 2023-01-05 23:46:47,211 - mmseg - INFO - Iter [4700/160000] lr: 5.824e-05, eta: 14:46:59, time: 0.346, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3581, decode.acc_seg: 87.0730, loss: 0.3581 2023-01-05 23:47:04,542 - mmseg - INFO - Iter [4750/160000] lr: 5.822e-05, eta: 14:46:49, time: 0.347, data_time: 0.011, memory: 8466, decode.loss_ce: 0.3620, decode.acc_seg: 87.1242, loss: 0.3620 2023-01-05 23:47:21,159 - mmseg - INFO - Iter [4800/160000] lr: 5.820e-05, eta: 14:46:14, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3595, decode.acc_seg: 87.3669, loss: 0.3595 2023-01-05 23:47:40,146 - mmseg - INFO - Iter [4850/160000] lr: 5.818e-05, eta: 14:46:57, time: 0.380, data_time: 0.056, memory: 8466, decode.loss_ce: 0.3436, decode.acc_seg: 87.6130, loss: 0.3436 2023-01-05 23:47:56,763 - mmseg - INFO - Iter [4900/160000] lr: 5.816e-05, eta: 14:46:23, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3490, decode.acc_seg: 87.8344, loss: 0.3490 2023-01-05 23:48:13,853 - mmseg - INFO - Iter [4950/160000] lr: 5.814e-05, eta: 14:46:04, time: 0.341, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3968, decode.acc_seg: 86.1887, loss: 0.3968 2023-01-05 23:48:31,130 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-05 23:48:31,131 - mmseg - INFO - Iter [5000/160000] lr: 5.813e-05, eta: 14:45:51, time: 0.346, data_time: 0.011, memory: 8466, decode.loss_ce: 0.3395, decode.acc_seg: 87.9844, loss: 0.3395 2023-01-05 23:48:47,770 - mmseg - INFO - Iter [5050/160000] lr: 5.811e-05, eta: 14:45:19, time: 0.333, data_time: 0.011, memory: 8466, decode.loss_ce: 0.3709, decode.acc_seg: 87.2562, loss: 0.3709 2023-01-05 23:49:04,489 - mmseg - INFO - Iter [5100/160000] lr: 5.809e-05, eta: 14:44:49, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3732, decode.acc_seg: 87.2857, loss: 0.3732 2023-01-05 23:49:20,983 - mmseg - INFO - Iter [5150/160000] lr: 5.807e-05, eta: 14:44:12, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3853, decode.acc_seg: 86.0643, loss: 0.3853 2023-01-05 23:49:37,628 - mmseg - INFO - Iter [5200/160000] lr: 5.805e-05, eta: 14:43:41, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3554, decode.acc_seg: 87.9254, loss: 0.3554 2023-01-05 23:49:56,497 - mmseg - INFO - Iter [5250/160000] lr: 5.803e-05, eta: 14:44:14, time: 0.377, data_time: 0.055, memory: 8466, decode.loss_ce: 0.3221, decode.acc_seg: 88.2824, loss: 0.3221 2023-01-05 23:50:13,272 - mmseg - INFO - Iter [5300/160000] lr: 5.801e-05, eta: 14:43:47, time: 0.336, data_time: 0.011, memory: 8466, decode.loss_ce: 0.3490, decode.acc_seg: 87.6195, loss: 0.3490 2023-01-05 23:50:30,189 - mmseg - INFO - Iter [5350/160000] lr: 5.799e-05, eta: 14:43:23, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3559, decode.acc_seg: 87.3949, loss: 0.3559 2023-01-05 23:50:47,264 - mmseg - INFO - Iter [5400/160000] lr: 5.798e-05, eta: 14:43:05, time: 0.342, data_time: 0.011, memory: 8466, decode.loss_ce: 0.3311, decode.acc_seg: 87.7698, loss: 0.3311 2023-01-05 23:51:03,910 - mmseg - INFO - Iter [5450/160000] lr: 5.796e-05, eta: 14:42:33, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3363, decode.acc_seg: 88.0945, loss: 0.3363 2023-01-05 23:51:20,251 - mmseg - INFO - Iter [5500/160000] lr: 5.794e-05, eta: 14:41:54, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3422, decode.acc_seg: 87.9103, loss: 0.3422 2023-01-05 23:51:36,780 - mmseg - INFO - Iter [5550/160000] lr: 5.792e-05, eta: 14:41:20, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3518, decode.acc_seg: 87.4574, loss: 0.3518 2023-01-05 23:51:55,507 - mmseg - INFO - Iter [5600/160000] lr: 5.790e-05, eta: 14:41:48, time: 0.375, data_time: 0.056, memory: 8466, decode.loss_ce: 0.3515, decode.acc_seg: 87.2887, loss: 0.3515 2023-01-05 23:52:12,458 - mmseg - INFO - Iter [5650/160000] lr: 5.788e-05, eta: 14:41:25, time: 0.339, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3451, decode.acc_seg: 87.6227, loss: 0.3451 2023-01-05 23:52:29,199 - mmseg - INFO - Iter [5700/160000] lr: 5.786e-05, eta: 14:40:58, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3543, decode.acc_seg: 87.4054, loss: 0.3543 2023-01-05 23:52:46,315 - mmseg - INFO - Iter [5750/160000] lr: 5.784e-05, eta: 14:40:40, time: 0.342, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3448, decode.acc_seg: 87.8527, loss: 0.3448 2023-01-05 23:53:03,081 - mmseg - INFO - Iter [5800/160000] lr: 5.783e-05, eta: 14:40:14, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3411, decode.acc_seg: 87.7152, loss: 0.3411 2023-01-05 23:53:19,457 - mmseg - INFO - Iter [5850/160000] lr: 5.781e-05, eta: 14:39:37, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3405, decode.acc_seg: 87.9329, loss: 0.3405 2023-01-05 23:53:36,321 - mmseg - INFO - Iter [5900/160000] lr: 5.779e-05, eta: 14:39:13, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3370, decode.acc_seg: 88.1493, loss: 0.3370 2023-01-05 23:53:53,508 - mmseg - INFO - Iter [5950/160000] lr: 5.777e-05, eta: 14:38:57, time: 0.343, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3489, decode.acc_seg: 87.4694, loss: 0.3489 2023-01-05 23:54:12,376 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-05 23:54:12,377 - mmseg - INFO - Iter [6000/160000] lr: 5.775e-05, eta: 14:39:25, time: 0.378, data_time: 0.056, memory: 8466, decode.loss_ce: 0.3132, decode.acc_seg: 88.5481, loss: 0.3132 2023-01-05 23:54:29,091 - mmseg - INFO - Iter [6050/160000] lr: 5.773e-05, eta: 14:38:57, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3218, decode.acc_seg: 88.2572, loss: 0.3218 2023-01-05 23:54:46,125 - mmseg - INFO - Iter [6100/160000] lr: 5.771e-05, eta: 14:38:38, time: 0.341, data_time: 0.011, memory: 8466, decode.loss_ce: 0.3382, decode.acc_seg: 87.8666, loss: 0.3382 2023-01-05 23:55:03,229 - mmseg - INFO - Iter [6150/160000] lr: 5.769e-05, eta: 14:38:20, time: 0.342, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2974, decode.acc_seg: 89.1814, loss: 0.2974 2023-01-05 23:55:19,895 - mmseg - INFO - Iter [6200/160000] lr: 5.768e-05, eta: 14:37:52, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.3338, decode.acc_seg: 87.8936, loss: 0.3338 2023-01-05 23:55:36,435 - mmseg - INFO - Iter [6250/160000] lr: 5.766e-05, eta: 14:37:20, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3169, decode.acc_seg: 88.4492, loss: 0.3169 2023-01-05 23:55:53,112 - mmseg - INFO - Iter [6300/160000] lr: 5.764e-05, eta: 14:36:52, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3391, decode.acc_seg: 87.7592, loss: 0.3391 2023-01-05 23:56:11,766 - mmseg - INFO - Iter [6350/160000] lr: 5.762e-05, eta: 14:37:12, time: 0.373, data_time: 0.055, memory: 8466, decode.loss_ce: 0.3018, decode.acc_seg: 89.1008, loss: 0.3018 2023-01-05 23:56:28,212 - mmseg - INFO - Iter [6400/160000] lr: 5.760e-05, eta: 14:36:39, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3287, decode.acc_seg: 88.6964, loss: 0.3287 2023-01-05 23:56:44,809 - mmseg - INFO - Iter [6450/160000] lr: 5.758e-05, eta: 14:36:09, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2946, decode.acc_seg: 89.3234, loss: 0.2946 2023-01-05 23:57:01,982 - mmseg - INFO - Iter [6500/160000] lr: 5.756e-05, eta: 14:35:54, time: 0.344, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3385, decode.acc_seg: 87.8711, loss: 0.3385 2023-01-05 23:57:18,542 - mmseg - INFO - Iter [6550/160000] lr: 5.754e-05, eta: 14:35:23, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3182, decode.acc_seg: 88.5930, loss: 0.3182 2023-01-05 23:57:35,296 - mmseg - INFO - Iter [6600/160000] lr: 5.753e-05, eta: 14:34:57, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3146, decode.acc_seg: 88.5839, loss: 0.3146 2023-01-05 23:57:52,556 - mmseg - INFO - Iter [6650/160000] lr: 5.751e-05, eta: 14:34:44, time: 0.345, data_time: 0.011, memory: 8466, decode.loss_ce: 0.3366, decode.acc_seg: 88.1348, loss: 0.3366 2023-01-05 23:58:11,302 - mmseg - INFO - Iter [6700/160000] lr: 5.749e-05, eta: 14:35:04, time: 0.375, data_time: 0.056, memory: 8466, decode.loss_ce: 0.3588, decode.acc_seg: 87.4209, loss: 0.3588 2023-01-05 23:58:27,888 - mmseg - INFO - Iter [6750/160000] lr: 5.747e-05, eta: 14:34:35, time: 0.332, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2914, decode.acc_seg: 89.4800, loss: 0.2914 2023-01-05 23:58:44,709 - mmseg - INFO - Iter [6800/160000] lr: 5.745e-05, eta: 14:34:11, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3213, decode.acc_seg: 88.4138, loss: 0.3213 2023-01-05 23:59:01,520 - mmseg - INFO - Iter [6850/160000] lr: 5.743e-05, eta: 14:33:47, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3109, decode.acc_seg: 88.8965, loss: 0.3109 2023-01-05 23:59:18,480 - mmseg - INFO - Iter [6900/160000] lr: 5.741e-05, eta: 14:33:27, time: 0.339, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3377, decode.acc_seg: 88.2236, loss: 0.3377 2023-01-05 23:59:35,293 - mmseg - INFO - Iter [6950/160000] lr: 5.739e-05, eta: 14:33:02, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3043, decode.acc_seg: 89.4388, loss: 0.3043 2023-01-05 23:59:52,254 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-05 23:59:52,255 - mmseg - INFO - Iter [7000/160000] lr: 5.738e-05, eta: 14:32:42, time: 0.339, data_time: 0.011, memory: 8466, decode.loss_ce: 0.3189, decode.acc_seg: 88.4478, loss: 0.3189 2023-01-06 00:00:09,332 - mmseg - INFO - Iter [7050/160000] lr: 5.736e-05, eta: 14:32:24, time: 0.341, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3138, decode.acc_seg: 88.7637, loss: 0.3138 2023-01-06 00:00:28,600 - mmseg - INFO - Iter [7100/160000] lr: 5.734e-05, eta: 14:32:54, time: 0.386, data_time: 0.056, memory: 8466, decode.loss_ce: 0.3291, decode.acc_seg: 88.3396, loss: 0.3291 2023-01-06 00:00:45,176 - mmseg - INFO - Iter [7150/160000] lr: 5.732e-05, eta: 14:32:25, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3082, decode.acc_seg: 88.8699, loss: 0.3082 2023-01-06 00:01:02,296 - mmseg - INFO - Iter [7200/160000] lr: 5.730e-05, eta: 14:32:07, time: 0.342, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2665, decode.acc_seg: 90.1637, loss: 0.2665 2023-01-06 00:01:19,080 - mmseg - INFO - Iter [7250/160000] lr: 5.728e-05, eta: 14:31:43, time: 0.336, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2985, decode.acc_seg: 89.4319, loss: 0.2985 2023-01-06 00:01:35,473 - mmseg - INFO - Iter [7300/160000] lr: 5.726e-05, eta: 14:31:11, time: 0.328, data_time: 0.011, memory: 8466, decode.loss_ce: 0.3164, decode.acc_seg: 88.6478, loss: 0.3164 2023-01-06 00:01:51,962 - mmseg - INFO - Iter [7350/160000] lr: 5.724e-05, eta: 14:30:41, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2987, decode.acc_seg: 89.0263, loss: 0.2987 2023-01-06 00:02:08,300 - mmseg - INFO - Iter [7400/160000] lr: 5.723e-05, eta: 14:30:08, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3107, decode.acc_seg: 88.8694, loss: 0.3107 2023-01-06 00:02:26,921 - mmseg - INFO - Iter [7450/160000] lr: 5.721e-05, eta: 14:30:22, time: 0.372, data_time: 0.056, memory: 8466, decode.loss_ce: 0.3116, decode.acc_seg: 88.7621, loss: 0.3116 2023-01-06 00:02:43,733 - mmseg - INFO - Iter [7500/160000] lr: 5.719e-05, eta: 14:29:58, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2989, decode.acc_seg: 89.1005, loss: 0.2989 2023-01-06 00:03:00,581 - mmseg - INFO - Iter [7550/160000] lr: 5.717e-05, eta: 14:29:36, time: 0.337, data_time: 0.012, memory: 8466, decode.loss_ce: 0.2924, decode.acc_seg: 89.4903, loss: 0.2924 2023-01-06 00:03:17,064 - mmseg - INFO - Iter [7600/160000] lr: 5.715e-05, eta: 14:29:06, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3034, decode.acc_seg: 88.9138, loss: 0.3034 2023-01-06 00:03:33,444 - mmseg - INFO - Iter [7650/160000] lr: 5.713e-05, eta: 14:28:34, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3115, decode.acc_seg: 88.7182, loss: 0.3115 2023-01-06 00:03:50,586 - mmseg - INFO - Iter [7700/160000] lr: 5.711e-05, eta: 14:28:18, time: 0.343, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2853, decode.acc_seg: 89.8339, loss: 0.2853 2023-01-06 00:04:07,492 - mmseg - INFO - Iter [7750/160000] lr: 5.709e-05, eta: 14:27:57, time: 0.338, data_time: 0.011, memory: 8466, decode.loss_ce: 0.3355, decode.acc_seg: 88.1434, loss: 0.3355 2023-01-06 00:04:24,001 - mmseg - INFO - Iter [7800/160000] lr: 5.708e-05, eta: 14:27:28, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2768, decode.acc_seg: 90.0391, loss: 0.2768 2023-01-06 00:04:43,054 - mmseg - INFO - Iter [7850/160000] lr: 5.706e-05, eta: 14:27:49, time: 0.381, data_time: 0.054, memory: 8466, decode.loss_ce: 0.2763, decode.acc_seg: 89.8427, loss: 0.2763 2023-01-06 00:05:00,005 - mmseg - INFO - Iter [7900/160000] lr: 5.704e-05, eta: 14:27:29, time: 0.339, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2961, decode.acc_seg: 89.0928, loss: 0.2961 2023-01-06 00:05:16,724 - mmseg - INFO - Iter [7950/160000] lr: 5.702e-05, eta: 14:27:04, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2886, decode.acc_seg: 89.4923, loss: 0.2886 2023-01-06 00:05:33,343 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 00:05:33,344 - mmseg - INFO - Iter [8000/160000] lr: 5.700e-05, eta: 14:26:38, time: 0.332, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2975, decode.acc_seg: 88.9937, loss: 0.2975 2023-01-06 00:05:49,807 - mmseg - INFO - Iter [8050/160000] lr: 5.698e-05, eta: 14:26:09, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2771, decode.acc_seg: 89.8760, loss: 0.2771 2023-01-06 00:06:06,624 - mmseg - INFO - Iter [8100/160000] lr: 5.696e-05, eta: 14:25:46, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2923, decode.acc_seg: 89.1529, loss: 0.2923 2023-01-06 00:06:23,601 - mmseg - INFO - Iter [8150/160000] lr: 5.694e-05, eta: 14:25:27, time: 0.340, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3051, decode.acc_seg: 88.9932, loss: 0.3051 2023-01-06 00:06:42,677 - mmseg - INFO - Iter [8200/160000] lr: 5.693e-05, eta: 14:25:46, time: 0.381, data_time: 0.054, memory: 8466, decode.loss_ce: 0.2954, decode.acc_seg: 89.6716, loss: 0.2954 2023-01-06 00:06:59,243 - mmseg - INFO - Iter [8250/160000] lr: 5.691e-05, eta: 14:25:19, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2896, decode.acc_seg: 89.6257, loss: 0.2896 2023-01-06 00:07:16,363 - mmseg - INFO - Iter [8300/160000] lr: 5.689e-05, eta: 14:25:02, time: 0.342, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3083, decode.acc_seg: 89.1633, loss: 0.3083 2023-01-06 00:07:33,107 - mmseg - INFO - Iter [8350/160000] lr: 5.687e-05, eta: 14:24:38, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2814, decode.acc_seg: 90.0546, loss: 0.2814 2023-01-06 00:07:50,064 - mmseg - INFO - Iter [8400/160000] lr: 5.685e-05, eta: 14:24:19, time: 0.340, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2750, decode.acc_seg: 89.8437, loss: 0.2750 2023-01-06 00:08:06,832 - mmseg - INFO - Iter [8450/160000] lr: 5.683e-05, eta: 14:23:56, time: 0.335, data_time: 0.012, memory: 8466, decode.loss_ce: 0.2812, decode.acc_seg: 89.7116, loss: 0.2812 2023-01-06 00:08:23,728 - mmseg - INFO - Iter [8500/160000] lr: 5.681e-05, eta: 14:23:35, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2950, decode.acc_seg: 89.4235, loss: 0.2950 2023-01-06 00:08:40,781 - mmseg - INFO - Iter [8550/160000] lr: 5.679e-05, eta: 14:23:17, time: 0.341, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2622, decode.acc_seg: 90.5646, loss: 0.2622 2023-01-06 00:09:00,248 - mmseg - INFO - Iter [8600/160000] lr: 5.678e-05, eta: 14:23:42, time: 0.389, data_time: 0.055, memory: 8466, decode.loss_ce: 0.2809, decode.acc_seg: 90.2094, loss: 0.2809 2023-01-06 00:09:16,609 - mmseg - INFO - Iter [8650/160000] lr: 5.676e-05, eta: 14:23:11, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2644, decode.acc_seg: 90.5054, loss: 0.2644 2023-01-06 00:09:33,092 - mmseg - INFO - Iter [8700/160000] lr: 5.674e-05, eta: 14:22:43, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2951, decode.acc_seg: 89.2550, loss: 0.2951 2023-01-06 00:09:49,826 - mmseg - INFO - Iter [8750/160000] lr: 5.672e-05, eta: 14:22:20, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2697, decode.acc_seg: 90.2177, loss: 0.2697 2023-01-06 00:10:06,383 - mmseg - INFO - Iter [8800/160000] lr: 5.670e-05, eta: 14:21:53, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2880, decode.acc_seg: 89.4353, loss: 0.2880 2023-01-06 00:10:23,065 - mmseg - INFO - Iter [8850/160000] lr: 5.668e-05, eta: 14:21:29, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2753, decode.acc_seg: 89.6960, loss: 0.2753 2023-01-06 00:10:39,916 - mmseg - INFO - Iter [8900/160000] lr: 5.666e-05, eta: 14:21:08, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2658, decode.acc_seg: 90.1478, loss: 0.2658 2023-01-06 00:10:58,669 - mmseg - INFO - Iter [8950/160000] lr: 5.664e-05, eta: 14:21:18, time: 0.375, data_time: 0.055, memory: 8466, decode.loss_ce: 0.2964, decode.acc_seg: 89.3419, loss: 0.2964 2023-01-06 00:11:15,082 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 00:11:15,083 - mmseg - INFO - Iter [9000/160000] lr: 5.663e-05, eta: 14:20:50, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3048, decode.acc_seg: 89.0007, loss: 0.3048 2023-01-06 00:11:31,656 - mmseg - INFO - Iter [9050/160000] lr: 5.661e-05, eta: 14:20:24, time: 0.331, data_time: 0.011, memory: 8466, decode.loss_ce: 0.3113, decode.acc_seg: 89.1547, loss: 0.3113 2023-01-06 00:11:48,400 - mmseg - INFO - Iter [9100/160000] lr: 5.659e-05, eta: 14:20:00, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2737, decode.acc_seg: 90.1556, loss: 0.2737 2023-01-06 00:12:05,455 - mmseg - INFO - Iter [9150/160000] lr: 5.657e-05, eta: 14:19:43, time: 0.341, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2758, decode.acc_seg: 89.9989, loss: 0.2758 2023-01-06 00:12:21,919 - mmseg - INFO - Iter [9200/160000] lr: 5.655e-05, eta: 14:19:16, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3031, decode.acc_seg: 89.3374, loss: 0.3031 2023-01-06 00:12:38,896 - mmseg - INFO - Iter [9250/160000] lr: 5.653e-05, eta: 14:18:56, time: 0.339, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2870, decode.acc_seg: 89.4838, loss: 0.2870 2023-01-06 00:12:55,704 - mmseg - INFO - Iter [9300/160000] lr: 5.651e-05, eta: 14:18:35, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2854, decode.acc_seg: 90.1673, loss: 0.2854 2023-01-06 00:13:14,707 - mmseg - INFO - Iter [9350/160000] lr: 5.649e-05, eta: 14:18:48, time: 0.380, data_time: 0.055, memory: 8466, decode.loss_ce: 0.2782, decode.acc_seg: 89.7329, loss: 0.2782 2023-01-06 00:13:31,130 - mmseg - INFO - Iter [9400/160000] lr: 5.648e-05, eta: 14:18:20, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2686, decode.acc_seg: 89.9068, loss: 0.2686 2023-01-06 00:13:47,529 - mmseg - INFO - Iter [9450/160000] lr: 5.646e-05, eta: 14:17:52, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2695, decode.acc_seg: 90.2296, loss: 0.2695 2023-01-06 00:14:04,058 - mmseg - INFO - Iter [9500/160000] lr: 5.644e-05, eta: 14:17:26, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2778, decode.acc_seg: 89.9049, loss: 0.2778 2023-01-06 00:14:20,518 - mmseg - INFO - Iter [9550/160000] lr: 5.642e-05, eta: 14:16:59, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2681, decode.acc_seg: 90.2142, loss: 0.2681 2023-01-06 00:14:37,177 - mmseg - INFO - Iter [9600/160000] lr: 5.640e-05, eta: 14:16:35, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2769, decode.acc_seg: 89.9144, loss: 0.2769 2023-01-06 00:14:53,742 - mmseg - INFO - Iter [9650/160000] lr: 5.638e-05, eta: 14:16:10, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2658, decode.acc_seg: 89.8611, loss: 0.2658 2023-01-06 00:15:12,686 - mmseg - INFO - Iter [9700/160000] lr: 5.636e-05, eta: 14:16:21, time: 0.378, data_time: 0.055, memory: 8466, decode.loss_ce: 0.2920, decode.acc_seg: 88.8055, loss: 0.2920 2023-01-06 00:15:29,063 - mmseg - INFO - Iter [9750/160000] lr: 5.634e-05, eta: 14:15:54, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2738, decode.acc_seg: 89.9158, loss: 0.2738 2023-01-06 00:15:45,797 - mmseg - INFO - Iter [9800/160000] lr: 5.633e-05, eta: 14:15:31, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3006, decode.acc_seg: 89.1175, loss: 0.3006 2023-01-06 00:16:02,495 - mmseg - INFO - Iter [9850/160000] lr: 5.631e-05, eta: 14:15:08, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2724, decode.acc_seg: 90.0068, loss: 0.2724 2023-01-06 00:16:19,215 - mmseg - INFO - Iter [9900/160000] lr: 5.629e-05, eta: 14:14:45, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2890, decode.acc_seg: 89.5946, loss: 0.2890 2023-01-06 00:16:36,312 - mmseg - INFO - Iter [9950/160000] lr: 5.627e-05, eta: 14:14:28, time: 0.342, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3178, decode.acc_seg: 89.2678, loss: 0.3178 2023-01-06 00:16:53,161 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 00:16:53,161 - mmseg - INFO - Iter [10000/160000] lr: 5.625e-05, eta: 14:14:08, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2769, decode.acc_seg: 90.1364, loss: 0.2769 2023-01-06 00:17:11,910 - mmseg - INFO - Iter [10050/160000] lr: 5.623e-05, eta: 14:14:16, time: 0.375, data_time: 0.055, memory: 8466, decode.loss_ce: 0.2957, decode.acc_seg: 89.1465, loss: 0.2957 2023-01-06 00:17:28,653 - mmseg - INFO - Iter [10100/160000] lr: 5.621e-05, eta: 14:13:53, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2730, decode.acc_seg: 90.1034, loss: 0.2730 2023-01-06 00:17:45,228 - mmseg - INFO - Iter [10150/160000] lr: 5.619e-05, eta: 14:13:28, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2789, decode.acc_seg: 89.7611, loss: 0.2789 2023-01-06 00:18:01,730 - mmseg - INFO - Iter [10200/160000] lr: 5.618e-05, eta: 14:13:03, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2620, decode.acc_seg: 90.3790, loss: 0.2620 2023-01-06 00:18:18,747 - mmseg - INFO - Iter [10250/160000] lr: 5.616e-05, eta: 14:12:45, time: 0.340, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2475, decode.acc_seg: 90.9210, loss: 0.2475 2023-01-06 00:18:35,410 - mmseg - INFO - Iter [10300/160000] lr: 5.614e-05, eta: 14:12:22, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2703, decode.acc_seg: 90.2851, loss: 0.2703 2023-01-06 00:18:52,020 - mmseg - INFO - Iter [10350/160000] lr: 5.612e-05, eta: 14:11:58, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2996, decode.acc_seg: 89.2489, loss: 0.2996 2023-01-06 00:19:08,702 - mmseg - INFO - Iter [10400/160000] lr: 5.610e-05, eta: 14:11:35, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2501, decode.acc_seg: 90.7402, loss: 0.2501 2023-01-06 00:19:27,814 - mmseg - INFO - Iter [10450/160000] lr: 5.608e-05, eta: 14:11:47, time: 0.382, data_time: 0.055, memory: 8466, decode.loss_ce: 0.2728, decode.acc_seg: 90.3384, loss: 0.2728 2023-01-06 00:19:44,131 - mmseg - INFO - Iter [10500/160000] lr: 5.606e-05, eta: 14:11:19, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2927, decode.acc_seg: 89.5752, loss: 0.2927 2023-01-06 00:20:00,594 - mmseg - INFO - Iter [10550/160000] lr: 5.604e-05, eta: 14:10:53, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2512, decode.acc_seg: 90.4598, loss: 0.2512 2023-01-06 00:20:17,606 - mmseg - INFO - Iter [10600/160000] lr: 5.603e-05, eta: 14:10:35, time: 0.340, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2910, decode.acc_seg: 89.3814, loss: 0.2910 2023-01-06 00:20:34,270 - mmseg - INFO - Iter [10650/160000] lr: 5.601e-05, eta: 14:10:12, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2605, decode.acc_seg: 90.3899, loss: 0.2605 2023-01-06 00:20:50,785 - mmseg - INFO - Iter [10700/160000] lr: 5.599e-05, eta: 14:09:47, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2479, decode.acc_seg: 90.6379, loss: 0.2479 2023-01-06 00:21:07,263 - mmseg - INFO - Iter [10750/160000] lr: 5.597e-05, eta: 14:09:22, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2876, decode.acc_seg: 89.6971, loss: 0.2876 2023-01-06 00:21:25,821 - mmseg - INFO - Iter [10800/160000] lr: 5.595e-05, eta: 14:09:25, time: 0.371, data_time: 0.055, memory: 8466, decode.loss_ce: 0.2613, decode.acc_seg: 90.7225, loss: 0.2613 2023-01-06 00:21:42,266 - mmseg - INFO - Iter [10850/160000] lr: 5.593e-05, eta: 14:08:59, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2809, decode.acc_seg: 89.7072, loss: 0.2809 2023-01-06 00:21:59,127 - mmseg - INFO - Iter [10900/160000] lr: 5.591e-05, eta: 14:08:39, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2767, decode.acc_seg: 89.9980, loss: 0.2767 2023-01-06 00:22:15,441 - mmseg - INFO - Iter [10950/160000] lr: 5.589e-05, eta: 14:08:12, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2700, decode.acc_seg: 90.2612, loss: 0.2700 2023-01-06 00:22:31,974 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 00:22:31,975 - mmseg - INFO - Iter [11000/160000] lr: 5.588e-05, eta: 14:07:48, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2608, decode.acc_seg: 90.6813, loss: 0.2608 2023-01-06 00:22:48,163 - mmseg - INFO - Iter [11050/160000] lr: 5.586e-05, eta: 14:07:19, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2636, decode.acc_seg: 90.4093, loss: 0.2636 2023-01-06 00:23:04,417 - mmseg - INFO - Iter [11100/160000] lr: 5.584e-05, eta: 14:06:51, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2555, decode.acc_seg: 90.8074, loss: 0.2555 2023-01-06 00:23:21,226 - mmseg - INFO - Iter [11150/160000] lr: 5.582e-05, eta: 14:06:30, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2683, decode.acc_seg: 90.0018, loss: 0.2683 2023-01-06 00:23:40,098 - mmseg - INFO - Iter [11200/160000] lr: 5.580e-05, eta: 14:06:37, time: 0.377, data_time: 0.055, memory: 8466, decode.loss_ce: 0.2663, decode.acc_seg: 90.2051, loss: 0.2663 2023-01-06 00:23:56,864 - mmseg - INFO - Iter [11250/160000] lr: 5.578e-05, eta: 14:06:16, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2591, decode.acc_seg: 90.6440, loss: 0.2591 2023-01-06 00:24:13,474 - mmseg - INFO - Iter [11300/160000] lr: 5.576e-05, eta: 14:05:53, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2522, decode.acc_seg: 90.7309, loss: 0.2522 2023-01-06 00:24:30,534 - mmseg - INFO - Iter [11350/160000] lr: 5.574e-05, eta: 14:05:36, time: 0.342, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2553, decode.acc_seg: 90.4888, loss: 0.2553 2023-01-06 00:24:47,882 - mmseg - INFO - Iter [11400/160000] lr: 5.573e-05, eta: 14:05:23, time: 0.347, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2437, decode.acc_seg: 90.8432, loss: 0.2437 2023-01-06 00:25:04,813 - mmseg - INFO - Iter [11450/160000] lr: 5.571e-05, eta: 14:05:04, time: 0.339, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2828, decode.acc_seg: 89.5724, loss: 0.2828 2023-01-06 00:25:21,534 - mmseg - INFO - Iter [11500/160000] lr: 5.569e-05, eta: 14:04:42, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2399, decode.acc_seg: 90.9845, loss: 0.2399 2023-01-06 00:25:40,283 - mmseg - INFO - Iter [11550/160000] lr: 5.567e-05, eta: 14:04:47, time: 0.375, data_time: 0.055, memory: 8466, decode.loss_ce: 0.2531, decode.acc_seg: 90.6260, loss: 0.2531 2023-01-06 00:25:56,975 - mmseg - INFO - Iter [11600/160000] lr: 5.565e-05, eta: 14:04:25, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2479, decode.acc_seg: 90.7300, loss: 0.2479 2023-01-06 00:26:14,026 - mmseg - INFO - Iter [11650/160000] lr: 5.563e-05, eta: 14:04:07, time: 0.341, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2429, decode.acc_seg: 90.9517, loss: 0.2429 2023-01-06 00:26:30,616 - mmseg - INFO - Iter [11700/160000] lr: 5.561e-05, eta: 14:03:44, time: 0.332, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2518, decode.acc_seg: 90.5230, loss: 0.2518 2023-01-06 00:26:47,058 - mmseg - INFO - Iter [11750/160000] lr: 5.559e-05, eta: 14:03:19, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2619, decode.acc_seg: 90.5250, loss: 0.2619 2023-01-06 00:27:03,691 - mmseg - INFO - Iter [11800/160000] lr: 5.558e-05, eta: 14:02:57, time: 0.333, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2587, decode.acc_seg: 90.2646, loss: 0.2587 2023-01-06 00:27:20,922 - mmseg - INFO - Iter [11850/160000] lr: 5.556e-05, eta: 14:02:42, time: 0.345, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2440, decode.acc_seg: 90.9007, loss: 0.2440 2023-01-06 00:27:37,447 - mmseg - INFO - Iter [11900/160000] lr: 5.554e-05, eta: 14:02:18, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2373, decode.acc_seg: 91.3078, loss: 0.2373 2023-01-06 00:27:56,439 - mmseg - INFO - Iter [11950/160000] lr: 5.552e-05, eta: 14:02:25, time: 0.379, data_time: 0.056, memory: 8466, decode.loss_ce: 0.2566, decode.acc_seg: 90.7059, loss: 0.2566 2023-01-06 00:28:13,234 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 00:28:13,235 - mmseg - INFO - Iter [12000/160000] lr: 5.550e-05, eta: 14:02:04, time: 0.336, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2436, decode.acc_seg: 90.8118, loss: 0.2436 2023-01-06 00:28:30,314 - mmseg - INFO - Iter [12050/160000] lr: 5.548e-05, eta: 14:01:47, time: 0.342, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2430, decode.acc_seg: 91.1002, loss: 0.2430 2023-01-06 00:28:47,036 - mmseg - INFO - Iter [12100/160000] lr: 5.546e-05, eta: 14:01:26, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2372, decode.acc_seg: 91.0461, loss: 0.2372 2023-01-06 00:29:03,564 - mmseg - INFO - Iter [12150/160000] lr: 5.544e-05, eta: 14:01:02, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2634, decode.acc_seg: 90.6901, loss: 0.2634 2023-01-06 00:29:20,277 - mmseg - INFO - Iter [12200/160000] lr: 5.543e-05, eta: 14:00:41, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2545, decode.acc_seg: 90.6475, loss: 0.2545 2023-01-06 00:29:36,837 - mmseg - INFO - Iter [12250/160000] lr: 5.541e-05, eta: 14:00:18, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2561, decode.acc_seg: 90.5697, loss: 0.2561 2023-01-06 00:29:55,890 - mmseg - INFO - Iter [12300/160000] lr: 5.539e-05, eta: 14:00:25, time: 0.381, data_time: 0.055, memory: 8466, decode.loss_ce: 0.2378, decode.acc_seg: 91.1273, loss: 0.2378 2023-01-06 00:30:12,530 - mmseg - INFO - Iter [12350/160000] lr: 5.537e-05, eta: 14:00:02, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2406, decode.acc_seg: 91.2960, loss: 0.2406 2023-01-06 00:30:29,744 - mmseg - INFO - Iter [12400/160000] lr: 5.535e-05, eta: 13:59:47, time: 0.345, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2505, decode.acc_seg: 90.7346, loss: 0.2505 2023-01-06 00:30:46,692 - mmseg - INFO - Iter [12450/160000] lr: 5.533e-05, eta: 13:59:29, time: 0.339, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2386, decode.acc_seg: 90.7950, loss: 0.2386 2023-01-06 00:31:03,539 - mmseg - INFO - Iter [12500/160000] lr: 5.531e-05, eta: 13:59:09, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2556, decode.acc_seg: 90.6984, loss: 0.2556 2023-01-06 00:31:20,173 - mmseg - INFO - Iter [12550/160000] lr: 5.529e-05, eta: 13:58:47, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2463, decode.acc_seg: 90.8793, loss: 0.2463 2023-01-06 00:31:36,954 - mmseg - INFO - Iter [12600/160000] lr: 5.528e-05, eta: 13:58:27, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2610, decode.acc_seg: 90.2135, loss: 0.2610 2023-01-06 00:31:55,880 - mmseg - INFO - Iter [12650/160000] lr: 5.526e-05, eta: 13:58:31, time: 0.378, data_time: 0.055, memory: 8466, decode.loss_ce: 0.2483, decode.acc_seg: 90.8942, loss: 0.2483 2023-01-06 00:32:12,464 - mmseg - INFO - Iter [12700/160000] lr: 5.524e-05, eta: 13:58:08, time: 0.332, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2312, decode.acc_seg: 91.3943, loss: 0.2312 2023-01-06 00:32:29,065 - mmseg - INFO - Iter [12750/160000] lr: 5.522e-05, eta: 13:57:46, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2415, decode.acc_seg: 90.9357, loss: 0.2415 2023-01-06 00:32:46,131 - mmseg - INFO - Iter [12800/160000] lr: 5.520e-05, eta: 13:57:29, time: 0.342, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2630, decode.acc_seg: 90.2277, loss: 0.2630 2023-01-06 00:33:03,215 - mmseg - INFO - Iter [12850/160000] lr: 5.518e-05, eta: 13:57:12, time: 0.342, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2506, decode.acc_seg: 90.9017, loss: 0.2506 2023-01-06 00:33:20,131 - mmseg - INFO - Iter [12900/160000] lr: 5.516e-05, eta: 13:56:53, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2488, decode.acc_seg: 90.8506, loss: 0.2488 2023-01-06 00:33:36,843 - mmseg - INFO - Iter [12950/160000] lr: 5.514e-05, eta: 13:56:32, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2318, decode.acc_seg: 91.0532, loss: 0.2318 2023-01-06 00:33:53,450 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 00:33:53,450 - mmseg - INFO - Iter [13000/160000] lr: 5.513e-05, eta: 13:56:10, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2530, decode.acc_seg: 90.7583, loss: 0.2530 2023-01-06 00:34:12,651 - mmseg - INFO - Iter [13050/160000] lr: 5.511e-05, eta: 13:56:16, time: 0.384, data_time: 0.056, memory: 8466, decode.loss_ce: 0.2376, decode.acc_seg: 90.8561, loss: 0.2376 2023-01-06 00:34:29,357 - mmseg - INFO - Iter [13100/160000] lr: 5.509e-05, eta: 13:55:55, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2475, decode.acc_seg: 91.1403, loss: 0.2475 2023-01-06 00:34:46,117 - mmseg - INFO - Iter [13150/160000] lr: 5.507e-05, eta: 13:55:35, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2475, decode.acc_seg: 90.6704, loss: 0.2475 2023-01-06 00:35:02,762 - mmseg - INFO - Iter [13200/160000] lr: 5.505e-05, eta: 13:55:13, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2375, decode.acc_seg: 91.1173, loss: 0.2375 2023-01-06 00:35:19,580 - mmseg - INFO - Iter [13250/160000] lr: 5.503e-05, eta: 13:54:53, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2331, decode.acc_seg: 91.1858, loss: 0.2331 2023-01-06 00:35:36,858 - mmseg - INFO - Iter [13300/160000] lr: 5.501e-05, eta: 13:54:39, time: 0.346, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2470, decode.acc_seg: 91.0048, loss: 0.2470 2023-01-06 00:35:53,432 - mmseg - INFO - Iter [13350/160000] lr: 5.499e-05, eta: 13:54:16, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2567, decode.acc_seg: 90.8263, loss: 0.2567 2023-01-06 00:36:12,268 - mmseg - INFO - Iter [13400/160000] lr: 5.498e-05, eta: 13:54:18, time: 0.377, data_time: 0.056, memory: 8466, decode.loss_ce: 0.2439, decode.acc_seg: 90.9976, loss: 0.2439 2023-01-06 00:36:29,715 - mmseg - INFO - Iter [13450/160000] lr: 5.496e-05, eta: 13:54:05, time: 0.349, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2404, decode.acc_seg: 90.9185, loss: 0.2404 2023-01-06 00:36:46,495 - mmseg - INFO - Iter [13500/160000] lr: 5.494e-05, eta: 13:53:45, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2256, decode.acc_seg: 91.4167, loss: 0.2256 2023-01-06 00:37:03,115 - mmseg - INFO - Iter [13550/160000] lr: 5.492e-05, eta: 13:53:23, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2411, decode.acc_seg: 91.0436, loss: 0.2411 2023-01-06 00:37:20,024 - mmseg - INFO - Iter [13600/160000] lr: 5.490e-05, eta: 13:53:04, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2463, decode.acc_seg: 91.0954, loss: 0.2463 2023-01-06 00:37:36,987 - mmseg - INFO - Iter [13650/160000] lr: 5.488e-05, eta: 13:52:46, time: 0.340, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2222, decode.acc_seg: 91.6553, loss: 0.2222 2023-01-06 00:37:53,639 - mmseg - INFO - Iter [13700/160000] lr: 5.486e-05, eta: 13:52:24, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2714, decode.acc_seg: 90.2335, loss: 0.2714 2023-01-06 00:38:10,168 - mmseg - INFO - Iter [13750/160000] lr: 5.484e-05, eta: 13:52:02, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2288, decode.acc_seg: 91.4702, loss: 0.2288 2023-01-06 00:38:29,212 - mmseg - INFO - Iter [13800/160000] lr: 5.483e-05, eta: 13:52:05, time: 0.381, data_time: 0.054, memory: 8466, decode.loss_ce: 0.2364, decode.acc_seg: 91.1550, loss: 0.2364 2023-01-06 00:38:46,071 - mmseg - INFO - Iter [13850/160000] lr: 5.481e-05, eta: 13:51:46, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2319, decode.acc_seg: 91.6699, loss: 0.2319 2023-01-06 00:39:02,532 - mmseg - INFO - Iter [13900/160000] lr: 5.479e-05, eta: 13:51:23, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2486, decode.acc_seg: 91.0247, loss: 0.2486 2023-01-06 00:39:19,333 - mmseg - INFO - Iter [13950/160000] lr: 5.477e-05, eta: 13:51:03, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2316, decode.acc_seg: 91.3252, loss: 0.2316 2023-01-06 00:39:36,089 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 00:39:36,090 - mmseg - INFO - Iter [14000/160000] lr: 5.475e-05, eta: 13:50:42, time: 0.335, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2260, decode.acc_seg: 91.4689, loss: 0.2260 2023-01-06 00:39:52,783 - mmseg - INFO - Iter [14050/160000] lr: 5.473e-05, eta: 13:50:21, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2260, decode.acc_seg: 91.7142, loss: 0.2260 2023-01-06 00:40:09,500 - mmseg - INFO - Iter [14100/160000] lr: 5.471e-05, eta: 13:50:00, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2455, decode.acc_seg: 90.8144, loss: 0.2455 2023-01-06 00:40:28,460 - mmseg - INFO - Iter [14150/160000] lr: 5.469e-05, eta: 13:50:03, time: 0.380, data_time: 0.056, memory: 8466, decode.loss_ce: 0.2554, decode.acc_seg: 90.6041, loss: 0.2554 2023-01-06 00:40:44,931 - mmseg - INFO - Iter [14200/160000] lr: 5.468e-05, eta: 13:49:40, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2553, decode.acc_seg: 90.7679, loss: 0.2553 2023-01-06 00:41:01,812 - mmseg - INFO - Iter [14250/160000] lr: 5.466e-05, eta: 13:49:21, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2150, decode.acc_seg: 91.9776, loss: 0.2150 2023-01-06 00:41:19,378 - mmseg - INFO - Iter [14300/160000] lr: 5.464e-05, eta: 13:49:09, time: 0.351, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2300, decode.acc_seg: 91.4824, loss: 0.2300 2023-01-06 00:41:35,898 - mmseg - INFO - Iter [14350/160000] lr: 5.462e-05, eta: 13:48:46, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2234, decode.acc_seg: 91.5523, loss: 0.2234 2023-01-06 00:41:52,893 - mmseg - INFO - Iter [14400/160000] lr: 5.460e-05, eta: 13:48:28, time: 0.340, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2400, decode.acc_seg: 91.0864, loss: 0.2400 2023-01-06 00:42:09,524 - mmseg - INFO - Iter [14450/160000] lr: 5.458e-05, eta: 13:48:07, time: 0.333, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2410, decode.acc_seg: 91.2842, loss: 0.2410 2023-01-06 00:42:26,284 - mmseg - INFO - Iter [14500/160000] lr: 5.456e-05, eta: 13:47:46, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2308, decode.acc_seg: 91.2881, loss: 0.2308 2023-01-06 00:42:45,212 - mmseg - INFO - Iter [14550/160000] lr: 5.454e-05, eta: 13:47:48, time: 0.379, data_time: 0.056, memory: 8466, decode.loss_ce: 0.2236, decode.acc_seg: 91.4103, loss: 0.2236 2023-01-06 00:43:01,714 - mmseg - INFO - Iter [14600/160000] lr: 5.453e-05, eta: 13:47:25, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2156, decode.acc_seg: 91.6662, loss: 0.2156 2023-01-06 00:43:18,223 - mmseg - INFO - Iter [14650/160000] lr: 5.451e-05, eta: 13:47:03, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2356, decode.acc_seg: 91.4631, loss: 0.2356 2023-01-06 00:43:35,122 - mmseg - INFO - Iter [14700/160000] lr: 5.449e-05, eta: 13:46:44, time: 0.338, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2112, decode.acc_seg: 91.9242, loss: 0.2112 2023-01-06 00:43:51,462 - mmseg - INFO - Iter [14750/160000] lr: 5.447e-05, eta: 13:46:20, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2422, decode.acc_seg: 91.1219, loss: 0.2422 2023-01-06 00:44:07,726 - mmseg - INFO - Iter [14800/160000] lr: 5.445e-05, eta: 13:45:55, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2468, decode.acc_seg: 90.7454, loss: 0.2468 2023-01-06 00:44:24,278 - mmseg - INFO - Iter [14850/160000] lr: 5.443e-05, eta: 13:45:33, time: 0.331, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2232, decode.acc_seg: 91.6339, loss: 0.2232 2023-01-06 00:44:43,275 - mmseg - INFO - Iter [14900/160000] lr: 5.441e-05, eta: 13:45:34, time: 0.380, data_time: 0.055, memory: 8466, decode.loss_ce: 0.2257, decode.acc_seg: 91.4827, loss: 0.2257 2023-01-06 00:45:00,473 - mmseg - INFO - Iter [14950/160000] lr: 5.439e-05, eta: 13:45:19, time: 0.344, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2519, decode.acc_seg: 90.9908, loss: 0.2519 2023-01-06 00:45:17,383 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 00:45:17,384 - mmseg - INFO - Iter [15000/160000] lr: 5.438e-05, eta: 13:45:00, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2377, decode.acc_seg: 91.1359, loss: 0.2377 2023-01-06 00:45:33,928 - mmseg - INFO - Iter [15050/160000] lr: 5.436e-05, eta: 13:44:38, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2519, decode.acc_seg: 90.7741, loss: 0.2519 2023-01-06 00:45:50,699 - mmseg - INFO - Iter [15100/160000] lr: 5.434e-05, eta: 13:44:18, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2227, decode.acc_seg: 91.2710, loss: 0.2227 2023-01-06 00:46:08,432 - mmseg - INFO - Iter [15150/160000] lr: 5.432e-05, eta: 13:44:07, time: 0.354, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2420, decode.acc_seg: 91.3192, loss: 0.2420 2023-01-06 00:46:24,918 - mmseg - INFO - Iter [15200/160000] lr: 5.430e-05, eta: 13:43:45, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2242, decode.acc_seg: 91.5914, loss: 0.2242 2023-01-06 00:46:41,704 - mmseg - INFO - Iter [15250/160000] lr: 5.428e-05, eta: 13:43:25, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2545, decode.acc_seg: 91.0026, loss: 0.2545 2023-01-06 00:47:00,372 - mmseg - INFO - Iter [15300/160000] lr: 5.426e-05, eta: 13:43:23, time: 0.373, data_time: 0.055, memory: 8466, decode.loss_ce: 0.2583, decode.acc_seg: 90.7265, loss: 0.2583 2023-01-06 00:47:16,944 - mmseg - INFO - Iter [15350/160000] lr: 5.424e-05, eta: 13:43:01, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2457, decode.acc_seg: 90.9882, loss: 0.2457 2023-01-06 00:47:34,162 - mmseg - INFO - Iter [15400/160000] lr: 5.423e-05, eta: 13:42:45, time: 0.345, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2543, decode.acc_seg: 90.9458, loss: 0.2543 2023-01-06 00:47:50,983 - mmseg - INFO - Iter [15450/160000] lr: 5.421e-05, eta: 13:42:26, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2244, decode.acc_seg: 91.6878, loss: 0.2244 2023-01-06 00:48:07,583 - mmseg - INFO - Iter [15500/160000] lr: 5.419e-05, eta: 13:42:05, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2502, decode.acc_seg: 90.6494, loss: 0.2502 2023-01-06 00:48:24,105 - mmseg - INFO - Iter [15550/160000] lr: 5.417e-05, eta: 13:41:42, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2341, decode.acc_seg: 91.2578, loss: 0.2341 2023-01-06 00:48:40,753 - mmseg - INFO - Iter [15600/160000] lr: 5.415e-05, eta: 13:41:22, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2274, decode.acc_seg: 91.4868, loss: 0.2274 2023-01-06 00:48:59,654 - mmseg - INFO - Iter [15650/160000] lr: 5.413e-05, eta: 13:41:21, time: 0.378, data_time: 0.055, memory: 8466, decode.loss_ce: 0.2384, decode.acc_seg: 91.1337, loss: 0.2384 2023-01-06 00:49:16,595 - mmseg - INFO - Iter [15700/160000] lr: 5.411e-05, eta: 13:41:03, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2292, decode.acc_seg: 91.4357, loss: 0.2292 2023-01-06 00:49:33,196 - mmseg - INFO - Iter [15750/160000] lr: 5.409e-05, eta: 13:40:42, time: 0.332, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2188, decode.acc_seg: 91.8219, loss: 0.2188 2023-01-06 00:49:49,684 - mmseg - INFO - Iter [15800/160000] lr: 5.408e-05, eta: 13:40:19, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2264, decode.acc_seg: 91.3598, loss: 0.2264 2023-01-06 00:50:06,320 - mmseg - INFO - Iter [15850/160000] lr: 5.406e-05, eta: 13:39:58, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2336, decode.acc_seg: 91.4555, loss: 0.2336 2023-01-06 00:50:22,837 - mmseg - INFO - Iter [15900/160000] lr: 5.404e-05, eta: 13:39:36, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2158, decode.acc_seg: 91.8774, loss: 0.2158 2023-01-06 00:50:39,892 - mmseg - INFO - Iter [15950/160000] lr: 5.402e-05, eta: 13:39:19, time: 0.341, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2123, decode.acc_seg: 92.0288, loss: 0.2123 2023-01-06 00:50:58,703 - mmseg - INFO - Saving checkpoint at 16000 iterations 2023-01-06 00:51:01,906 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 00:51:01,907 - mmseg - INFO - Iter [16000/160000] lr: 5.400e-05, eta: 13:39:47, time: 0.441, data_time: 0.055, memory: 8466, decode.loss_ce: 0.2162, decode.acc_seg: 91.8322, loss: 0.2162 2023-01-06 00:51:30,962 - mmseg - INFO - per class results: 2023-01-06 00:51:30,965 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 95.35 | 98.12 | | sidewalk | 67.16 | 78.78 | | building | 86.23 | 94.81 | | wall | 28.36 | 32.76 | | fence | 25.88 | 29.54 | | pole | 42.15 | 48.47 | | traffic light | 40.67 | 47.27 | | traffic sign | 56.09 | 62.42 | | vegetation | 88.8 | 95.89 | | terrain | 45.9 | 50.06 | | sky | 91.23 | 97.7 | | person | 60.27 | 77.4 | | rider | 23.51 | 32.16 | | car | 86.17 | 91.55 | | truck | 26.17 | 36.67 | | bus | 37.94 | 65.44 | | train | 1.86 | 2.07 | | motorcycle | 9.48 | 9.91 | | bicycle | 57.47 | 80.31 | +---------------+-------+-------+ 2023-01-06 00:51:30,965 - mmseg - INFO - Summary: 2023-01-06 00:51:30,966 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 91.98 | 51.09 | 59.54 | +-------+-------+-------+ 2023-01-06 00:51:30,966 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 00:51:30,967 - mmseg - INFO - Iter(val) [63] aAcc: 0.9198, mIoU: 0.5109, mAcc: 0.5954, IoU.road: 0.9535, IoU.sidewalk: 0.6716, IoU.building: 0.8623, IoU.wall: 0.2836, IoU.fence: 0.2588, IoU.pole: 0.4215, IoU.traffic light: 0.4067, IoU.traffic sign: 0.5609, IoU.vegetation: 0.8880, IoU.terrain: 0.4590, IoU.sky: 0.9123, IoU.person: 0.6027, IoU.rider: 0.2351, IoU.car: 0.8617, IoU.truck: 0.2617, IoU.bus: 0.3794, IoU.train: 0.0186, IoU.motorcycle: 0.0948, IoU.bicycle: 0.5747, Acc.road: 0.9812, Acc.sidewalk: 0.7878, Acc.building: 0.9481, Acc.wall: 0.3276, Acc.fence: 0.2954, Acc.pole: 0.4847, Acc.traffic light: 0.4727, Acc.traffic sign: 0.6242, Acc.vegetation: 0.9589, Acc.terrain: 0.5006, Acc.sky: 0.9770, Acc.person: 0.7740, Acc.rider: 0.3216, Acc.car: 0.9155, Acc.truck: 0.3667, Acc.bus: 0.6544, Acc.train: 0.0207, Acc.motorcycle: 0.0991, Acc.bicycle: 0.8031 2023-01-06 00:51:47,395 - mmseg - INFO - Iter [16050/160000] lr: 5.398e-05, eta: 13:43:44, time: 0.909, data_time: 0.591, memory: 8466, decode.loss_ce: 0.2338, decode.acc_seg: 91.3847, loss: 0.2338 2023-01-06 00:52:04,265 - mmseg - INFO - Iter [16100/160000] lr: 5.396e-05, eta: 13:43:25, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2244, decode.acc_seg: 91.7308, loss: 0.2244 2023-01-06 00:52:21,051 - mmseg - INFO - Iter [16150/160000] lr: 5.394e-05, eta: 13:43:04, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2247, decode.acc_seg: 91.6980, loss: 0.2247 2023-01-06 00:52:37,453 - mmseg - INFO - Iter [16200/160000] lr: 5.393e-05, eta: 13:42:40, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2396, decode.acc_seg: 91.2320, loss: 0.2396 2023-01-06 00:52:54,093 - mmseg - INFO - Iter [16250/160000] lr: 5.391e-05, eta: 13:42:18, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2425, decode.acc_seg: 91.0543, loss: 0.2425 2023-01-06 00:53:10,625 - mmseg - INFO - Iter [16300/160000] lr: 5.389e-05, eta: 13:41:55, time: 0.331, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2192, decode.acc_seg: 91.9958, loss: 0.2192 2023-01-06 00:53:27,437 - mmseg - INFO - Iter [16350/160000] lr: 5.387e-05, eta: 13:41:35, time: 0.336, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2177, decode.acc_seg: 91.7489, loss: 0.2177 2023-01-06 00:53:46,411 - mmseg - INFO - Iter [16400/160000] lr: 5.385e-05, eta: 13:41:34, time: 0.379, data_time: 0.055, memory: 8466, decode.loss_ce: 0.2116, decode.acc_seg: 92.0940, loss: 0.2116 2023-01-06 00:54:02,768 - mmseg - INFO - Iter [16450/160000] lr: 5.383e-05, eta: 13:41:10, time: 0.328, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2239, decode.acc_seg: 91.6461, loss: 0.2239 2023-01-06 00:54:19,603 - mmseg - INFO - Iter [16500/160000] lr: 5.381e-05, eta: 13:40:50, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2251, decode.acc_seg: 91.8107, loss: 0.2251 2023-01-06 00:54:36,550 - mmseg - INFO - Iter [16550/160000] lr: 5.379e-05, eta: 13:40:31, time: 0.339, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2233, decode.acc_seg: 91.7679, loss: 0.2233 2023-01-06 00:54:52,825 - mmseg - INFO - Iter [16600/160000] lr: 5.378e-05, eta: 13:40:06, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2050, decode.acc_seg: 92.1797, loss: 0.2050 2023-01-06 00:55:09,338 - mmseg - INFO - Iter [16650/160000] lr: 5.376e-05, eta: 13:39:43, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2143, decode.acc_seg: 91.9681, loss: 0.2143 2023-01-06 00:55:26,025 - mmseg - INFO - Iter [16700/160000] lr: 5.374e-05, eta: 13:39:22, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2251, decode.acc_seg: 91.5036, loss: 0.2251 2023-01-06 00:55:44,740 - mmseg - INFO - Iter [16750/160000] lr: 5.372e-05, eta: 13:39:18, time: 0.374, data_time: 0.055, memory: 8466, decode.loss_ce: 0.2373, decode.acc_seg: 91.2951, loss: 0.2373 2023-01-06 00:56:01,454 - mmseg - INFO - Iter [16800/160000] lr: 5.370e-05, eta: 13:38:57, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2280, decode.acc_seg: 91.7230, loss: 0.2280 2023-01-06 00:56:17,893 - mmseg - INFO - Iter [16850/160000] lr: 5.368e-05, eta: 13:38:34, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2221, decode.acc_seg: 91.5368, loss: 0.2221 2023-01-06 00:56:34,438 - mmseg - INFO - Iter [16900/160000] lr: 5.366e-05, eta: 13:38:12, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2257, decode.acc_seg: 91.5321, loss: 0.2257 2023-01-06 00:56:51,452 - mmseg - INFO - Iter [16950/160000] lr: 5.364e-05, eta: 13:37:53, time: 0.340, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2252, decode.acc_seg: 91.8218, loss: 0.2252 2023-01-06 00:57:08,276 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 00:57:08,276 - mmseg - INFO - Iter [17000/160000] lr: 5.363e-05, eta: 13:37:34, time: 0.337, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2247, decode.acc_seg: 91.9409, loss: 0.2247 2023-01-06 00:57:24,879 - mmseg - INFO - Iter [17050/160000] lr: 5.361e-05, eta: 13:37:12, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2065, decode.acc_seg: 92.1604, loss: 0.2065 2023-01-06 00:57:41,320 - mmseg - INFO - Iter [17100/160000] lr: 5.359e-05, eta: 13:36:49, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2166, decode.acc_seg: 91.6785, loss: 0.2166 2023-01-06 00:58:00,113 - mmseg - INFO - Iter [17150/160000] lr: 5.357e-05, eta: 13:36:45, time: 0.376, data_time: 0.056, memory: 8466, decode.loss_ce: 0.2372, decode.acc_seg: 91.5742, loss: 0.2372 2023-01-06 00:58:16,588 - mmseg - INFO - Iter [17200/160000] lr: 5.355e-05, eta: 13:36:23, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2140, decode.acc_seg: 91.8327, loss: 0.2140 2023-01-06 00:58:33,212 - mmseg - INFO - Iter [17250/160000] lr: 5.353e-05, eta: 13:36:01, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2240, decode.acc_seg: 91.7177, loss: 0.2240 2023-01-06 00:58:49,409 - mmseg - INFO - Iter [17300/160000] lr: 5.351e-05, eta: 13:35:36, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2014, decode.acc_seg: 92.1511, loss: 0.2014 2023-01-06 00:59:06,133 - mmseg - INFO - Iter [17350/160000] lr: 5.349e-05, eta: 13:35:15, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1965, decode.acc_seg: 92.4450, loss: 0.1965 2023-01-06 00:59:22,800 - mmseg - INFO - Iter [17400/160000] lr: 5.348e-05, eta: 13:34:54, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2429, decode.acc_seg: 91.0778, loss: 0.2429 2023-01-06 00:59:39,628 - mmseg - INFO - Iter [17450/160000] lr: 5.346e-05, eta: 13:34:35, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2207, decode.acc_seg: 91.7225, loss: 0.2207 2023-01-06 00:59:58,600 - mmseg - INFO - Iter [17500/160000] lr: 5.344e-05, eta: 13:34:32, time: 0.379, data_time: 0.055, memory: 8466, decode.loss_ce: 0.2121, decode.acc_seg: 92.0266, loss: 0.2121 2023-01-06 01:00:15,081 - mmseg - INFO - Iter [17550/160000] lr: 5.342e-05, eta: 13:34:10, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2261, decode.acc_seg: 91.6575, loss: 0.2261 2023-01-06 01:00:31,853 - mmseg - INFO - Iter [17600/160000] lr: 5.340e-05, eta: 13:33:49, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2089, decode.acc_seg: 92.1164, loss: 0.2089 2023-01-06 01:00:48,805 - mmseg - INFO - Iter [17650/160000] lr: 5.338e-05, eta: 13:33:31, time: 0.339, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2142, decode.acc_seg: 92.0219, loss: 0.2142 2023-01-06 01:01:05,963 - mmseg - INFO - Iter [17700/160000] lr: 5.336e-05, eta: 13:33:14, time: 0.343, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2209, decode.acc_seg: 91.8624, loss: 0.2209 2023-01-06 01:01:22,915 - mmseg - INFO - Iter [17750/160000] lr: 5.334e-05, eta: 13:32:55, time: 0.339, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2285, decode.acc_seg: 91.4955, loss: 0.2285 2023-01-06 01:01:39,532 - mmseg - INFO - Iter [17800/160000] lr: 5.333e-05, eta: 13:32:34, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2160, decode.acc_seg: 91.8189, loss: 0.2160 2023-01-06 01:01:56,328 - mmseg - INFO - Iter [17850/160000] lr: 5.331e-05, eta: 13:32:14, time: 0.336, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2462, decode.acc_seg: 91.2297, loss: 0.2462 2023-01-06 01:02:15,064 - mmseg - INFO - Iter [17900/160000] lr: 5.329e-05, eta: 13:32:09, time: 0.375, data_time: 0.055, memory: 8466, decode.loss_ce: 0.2435, decode.acc_seg: 90.9936, loss: 0.2435 2023-01-06 01:02:32,428 - mmseg - INFO - Iter [17950/160000] lr: 5.327e-05, eta: 13:31:54, time: 0.347, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2360, decode.acc_seg: 91.4975, loss: 0.2360 2023-01-06 01:02:49,047 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 01:02:49,047 - mmseg - INFO - Iter [18000/160000] lr: 5.325e-05, eta: 13:31:32, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2469, decode.acc_seg: 91.0041, loss: 0.2469 2023-01-06 01:03:06,229 - mmseg - INFO - Iter [18050/160000] lr: 5.323e-05, eta: 13:31:16, time: 0.344, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2160, decode.acc_seg: 91.9378, loss: 0.2160 2023-01-06 01:03:22,988 - mmseg - INFO - Iter [18100/160000] lr: 5.321e-05, eta: 13:30:56, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1959, decode.acc_seg: 92.5496, loss: 0.1959 2023-01-06 01:03:39,881 - mmseg - INFO - Iter [18150/160000] lr: 5.319e-05, eta: 13:30:36, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2225, decode.acc_seg: 91.8166, loss: 0.2225 2023-01-06 01:03:56,453 - mmseg - INFO - Iter [18200/160000] lr: 5.318e-05, eta: 13:30:15, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2007, decode.acc_seg: 92.2567, loss: 0.2007 2023-01-06 01:04:15,303 - mmseg - INFO - Iter [18250/160000] lr: 5.316e-05, eta: 13:30:11, time: 0.377, data_time: 0.055, memory: 8466, decode.loss_ce: 0.2001, decode.acc_seg: 92.3937, loss: 0.2001 2023-01-06 01:04:31,651 - mmseg - INFO - Iter [18300/160000] lr: 5.314e-05, eta: 13:29:48, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2489, decode.acc_seg: 90.8793, loss: 0.2489 2023-01-06 01:04:48,109 - mmseg - INFO - Iter [18350/160000] lr: 5.312e-05, eta: 13:29:25, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2225, decode.acc_seg: 92.0142, loss: 0.2225 2023-01-06 01:05:04,815 - mmseg - INFO - Iter [18400/160000] lr: 5.310e-05, eta: 13:29:05, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2227, decode.acc_seg: 91.8607, loss: 0.2227 2023-01-06 01:05:22,094 - mmseg - INFO - Iter [18450/160000] lr: 5.308e-05, eta: 13:28:49, time: 0.346, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2025, decode.acc_seg: 92.3149, loss: 0.2025 2023-01-06 01:05:38,918 - mmseg - INFO - Iter [18500/160000] lr: 5.306e-05, eta: 13:28:29, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1968, decode.acc_seg: 92.4666, loss: 0.1968 2023-01-06 01:05:56,263 - mmseg - INFO - Iter [18550/160000] lr: 5.304e-05, eta: 13:28:13, time: 0.347, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1960, decode.acc_seg: 92.5452, loss: 0.1960 2023-01-06 01:06:13,367 - mmseg - INFO - Iter [18600/160000] lr: 5.303e-05, eta: 13:27:56, time: 0.342, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1919, decode.acc_seg: 92.7155, loss: 0.1919 2023-01-06 01:06:32,088 - mmseg - INFO - Iter [18650/160000] lr: 5.301e-05, eta: 13:27:51, time: 0.375, data_time: 0.056, memory: 8466, decode.loss_ce: 0.2001, decode.acc_seg: 92.5444, loss: 0.2001 2023-01-06 01:06:49,293 - mmseg - INFO - Iter [18700/160000] lr: 5.299e-05, eta: 13:27:34, time: 0.344, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2023, decode.acc_seg: 92.3402, loss: 0.2023 2023-01-06 01:07:05,946 - mmseg - INFO - Iter [18750/160000] lr: 5.297e-05, eta: 13:27:13, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1978, decode.acc_seg: 92.6459, loss: 0.1978 2023-01-06 01:07:22,418 - mmseg - INFO - Iter [18800/160000] lr: 5.295e-05, eta: 13:26:51, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2085, decode.acc_seg: 92.0046, loss: 0.2085 2023-01-06 01:07:38,714 - mmseg - INFO - Iter [18850/160000] lr: 5.293e-05, eta: 13:26:27, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2315, decode.acc_seg: 91.4930, loss: 0.2315 2023-01-06 01:07:55,587 - mmseg - INFO - Iter [18900/160000] lr: 5.291e-05, eta: 13:26:08, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2063, decode.acc_seg: 92.1418, loss: 0.2063 2023-01-06 01:08:12,505 - mmseg - INFO - Iter [18950/160000] lr: 5.289e-05, eta: 13:25:50, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2175, decode.acc_seg: 91.8163, loss: 0.2175 2023-01-06 01:08:31,414 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 01:08:31,415 - mmseg - INFO - Iter [19000/160000] lr: 5.288e-05, eta: 13:25:46, time: 0.378, data_time: 0.055, memory: 8466, decode.loss_ce: 0.2295, decode.acc_seg: 91.3639, loss: 0.2295 2023-01-06 01:08:48,301 - mmseg - INFO - Iter [19050/160000] lr: 5.286e-05, eta: 13:25:27, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2057, decode.acc_seg: 92.2719, loss: 0.2057 2023-01-06 01:09:05,421 - mmseg - INFO - Iter [19100/160000] lr: 5.284e-05, eta: 13:25:09, time: 0.342, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2049, decode.acc_seg: 92.1889, loss: 0.2049 2023-01-06 01:09:22,151 - mmseg - INFO - Iter [19150/160000] lr: 5.282e-05, eta: 13:24:49, time: 0.335, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2014, decode.acc_seg: 92.5263, loss: 0.2014 2023-01-06 01:09:39,222 - mmseg - INFO - Iter [19200/160000] lr: 5.280e-05, eta: 13:24:31, time: 0.341, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2019, decode.acc_seg: 92.4755, loss: 0.2019 2023-01-06 01:09:56,111 - mmseg - INFO - Iter [19250/160000] lr: 5.278e-05, eta: 13:24:12, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2137, decode.acc_seg: 92.0852, loss: 0.2137 2023-01-06 01:10:12,824 - mmseg - INFO - Iter [19300/160000] lr: 5.276e-05, eta: 13:23:52, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1926, decode.acc_seg: 92.5575, loss: 0.1926 2023-01-06 01:10:31,875 - mmseg - INFO - Iter [19350/160000] lr: 5.274e-05, eta: 13:23:49, time: 0.381, data_time: 0.056, memory: 8466, decode.loss_ce: 0.2014, decode.acc_seg: 92.3444, loss: 0.2014 2023-01-06 01:10:48,844 - mmseg - INFO - Iter [19400/160000] lr: 5.273e-05, eta: 13:23:30, time: 0.340, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2074, decode.acc_seg: 92.1239, loss: 0.2074 2023-01-06 01:11:05,176 - mmseg - INFO - Iter [19450/160000] lr: 5.271e-05, eta: 13:23:07, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2131, decode.acc_seg: 92.1507, loss: 0.2131 2023-01-06 01:11:21,551 - mmseg - INFO - Iter [19500/160000] lr: 5.269e-05, eta: 13:22:45, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1977, decode.acc_seg: 92.5902, loss: 0.1977 2023-01-06 01:11:38,125 - mmseg - INFO - Iter [19550/160000] lr: 5.267e-05, eta: 13:22:24, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1951, decode.acc_seg: 92.5101, loss: 0.1951 2023-01-06 01:11:55,180 - mmseg - INFO - Iter [19600/160000] lr: 5.265e-05, eta: 13:22:06, time: 0.341, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1835, decode.acc_seg: 92.9427, loss: 0.1835 2023-01-06 01:12:11,947 - mmseg - INFO - Iter [19650/160000] lr: 5.263e-05, eta: 13:21:46, time: 0.335, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2260, decode.acc_seg: 91.4917, loss: 0.2260 2023-01-06 01:12:28,760 - mmseg - INFO - Iter [19700/160000] lr: 5.261e-05, eta: 13:21:26, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2230, decode.acc_seg: 91.7875, loss: 0.2230 2023-01-06 01:12:47,705 - mmseg - INFO - Iter [19750/160000] lr: 5.259e-05, eta: 13:21:22, time: 0.379, data_time: 0.055, memory: 8466, decode.loss_ce: 0.2224, decode.acc_seg: 92.0376, loss: 0.2224 2023-01-06 01:13:04,440 - mmseg - INFO - Iter [19800/160000] lr: 5.258e-05, eta: 13:21:02, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1993, decode.acc_seg: 92.7268, loss: 0.1993 2023-01-06 01:13:21,075 - mmseg - INFO - Iter [19850/160000] lr: 5.256e-05, eta: 13:20:41, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2091, decode.acc_seg: 92.2867, loss: 0.2091 2023-01-06 01:13:38,228 - mmseg - INFO - Iter [19900/160000] lr: 5.254e-05, eta: 13:20:24, time: 0.343, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1931, decode.acc_seg: 92.6267, loss: 0.1931 2023-01-06 01:13:55,166 - mmseg - INFO - Iter [19950/160000] lr: 5.252e-05, eta: 13:20:06, time: 0.339, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1865, decode.acc_seg: 92.9002, loss: 0.1865 2023-01-06 01:14:12,154 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 01:14:12,155 - mmseg - INFO - Iter [20000/160000] lr: 5.250e-05, eta: 13:19:48, time: 0.340, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2105, decode.acc_seg: 92.1514, loss: 0.2105 2023-01-06 01:14:28,819 - mmseg - INFO - Iter [20050/160000] lr: 5.248e-05, eta: 13:19:27, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2278, decode.acc_seg: 91.4516, loss: 0.2278 2023-01-06 01:14:47,573 - mmseg - INFO - Iter [20100/160000] lr: 5.246e-05, eta: 13:19:21, time: 0.375, data_time: 0.058, memory: 8466, decode.loss_ce: 0.2195, decode.acc_seg: 91.9557, loss: 0.2195 2023-01-06 01:15:04,226 - mmseg - INFO - Iter [20150/160000] lr: 5.244e-05, eta: 13:19:01, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2120, decode.acc_seg: 91.9440, loss: 0.2120 2023-01-06 01:15:20,813 - mmseg - INFO - Iter [20200/160000] lr: 5.243e-05, eta: 13:18:40, time: 0.332, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2139, decode.acc_seg: 92.1317, loss: 0.2139 2023-01-06 01:15:37,719 - mmseg - INFO - Iter [20250/160000] lr: 5.241e-05, eta: 13:18:21, time: 0.338, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2017, decode.acc_seg: 92.5465, loss: 0.2017 2023-01-06 01:15:54,936 - mmseg - INFO - Iter [20300/160000] lr: 5.239e-05, eta: 13:18:04, time: 0.344, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2055, decode.acc_seg: 92.2585, loss: 0.2055 2023-01-06 01:16:11,509 - mmseg - INFO - Iter [20350/160000] lr: 5.237e-05, eta: 13:17:43, time: 0.332, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1949, decode.acc_seg: 92.4236, loss: 0.1949 2023-01-06 01:16:28,150 - mmseg - INFO - Iter [20400/160000] lr: 5.235e-05, eta: 13:17:23, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2048, decode.acc_seg: 92.5002, loss: 0.2048 2023-01-06 01:16:44,583 - mmseg - INFO - Iter [20450/160000] lr: 5.233e-05, eta: 13:17:01, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1989, decode.acc_seg: 92.3400, loss: 0.1989 2023-01-06 01:17:03,510 - mmseg - INFO - Iter [20500/160000] lr: 5.231e-05, eta: 13:16:56, time: 0.378, data_time: 0.056, memory: 8466, decode.loss_ce: 0.2271, decode.acc_seg: 91.7529, loss: 0.2271 2023-01-06 01:17:20,239 - mmseg - INFO - Iter [20550/160000] lr: 5.229e-05, eta: 13:16:36, time: 0.335, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2090, decode.acc_seg: 92.1281, loss: 0.2090 2023-01-06 01:17:37,105 - mmseg - INFO - Iter [20600/160000] lr: 5.228e-05, eta: 13:16:17, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2089, decode.acc_seg: 92.1931, loss: 0.2089 2023-01-06 01:17:53,578 - mmseg - INFO - Iter [20650/160000] lr: 5.226e-05, eta: 13:15:56, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2123, decode.acc_seg: 91.8908, loss: 0.2123 2023-01-06 01:18:10,638 - mmseg - INFO - Iter [20700/160000] lr: 5.224e-05, eta: 13:15:38, time: 0.341, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2030, decode.acc_seg: 92.2193, loss: 0.2030 2023-01-06 01:18:27,302 - mmseg - INFO - Iter [20750/160000] lr: 5.222e-05, eta: 13:15:18, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2040, decode.acc_seg: 92.2728, loss: 0.2040 2023-01-06 01:18:43,728 - mmseg - INFO - Iter [20800/160000] lr: 5.220e-05, eta: 13:14:56, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2126, decode.acc_seg: 92.1506, loss: 0.2126 2023-01-06 01:19:02,863 - mmseg - INFO - Iter [20850/160000] lr: 5.218e-05, eta: 13:14:52, time: 0.383, data_time: 0.055, memory: 8466, decode.loss_ce: 0.2188, decode.acc_seg: 91.6167, loss: 0.2188 2023-01-06 01:19:19,767 - mmseg - INFO - Iter [20900/160000] lr: 5.216e-05, eta: 13:14:33, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2128, decode.acc_seg: 92.3462, loss: 0.2128 2023-01-06 01:19:36,199 - mmseg - INFO - Iter [20950/160000] lr: 5.214e-05, eta: 13:14:11, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2290, decode.acc_seg: 91.6429, loss: 0.2290 2023-01-06 01:19:52,790 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 01:19:52,790 - mmseg - INFO - Iter [21000/160000] lr: 5.213e-05, eta: 13:13:51, time: 0.332, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2109, decode.acc_seg: 92.1818, loss: 0.2109 2023-01-06 01:20:09,139 - mmseg - INFO - Iter [21050/160000] lr: 5.211e-05, eta: 13:13:28, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2067, decode.acc_seg: 92.3255, loss: 0.2067 2023-01-06 01:20:25,737 - mmseg - INFO - Iter [21100/160000] lr: 5.209e-05, eta: 13:13:08, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2019, decode.acc_seg: 92.5435, loss: 0.2019 2023-01-06 01:20:42,575 - mmseg - INFO - Iter [21150/160000] lr: 5.207e-05, eta: 13:12:49, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1973, decode.acc_seg: 92.4600, loss: 0.1973 2023-01-06 01:20:59,387 - mmseg - INFO - Iter [21200/160000] lr: 5.205e-05, eta: 13:12:29, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2036, decode.acc_seg: 92.4222, loss: 0.2036 2023-01-06 01:21:18,406 - mmseg - INFO - Iter [21250/160000] lr: 5.203e-05, eta: 13:12:25, time: 0.381, data_time: 0.056, memory: 8466, decode.loss_ce: 0.2179, decode.acc_seg: 92.0321, loss: 0.2179 2023-01-06 01:21:35,485 - mmseg - INFO - Iter [21300/160000] lr: 5.201e-05, eta: 13:12:07, time: 0.342, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2250, decode.acc_seg: 91.9186, loss: 0.2250 2023-01-06 01:21:51,811 - mmseg - INFO - Iter [21350/160000] lr: 5.199e-05, eta: 13:11:45, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1886, decode.acc_seg: 92.4905, loss: 0.1886 2023-01-06 01:22:08,754 - mmseg - INFO - Iter [21400/160000] lr: 5.198e-05, eta: 13:11:26, time: 0.339, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1923, decode.acc_seg: 92.7213, loss: 0.1923 2023-01-06 01:22:25,547 - mmseg - INFO - Iter [21450/160000] lr: 5.196e-05, eta: 13:11:07, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2083, decode.acc_seg: 92.1756, loss: 0.2083 2023-01-06 01:22:42,074 - mmseg - INFO - Iter [21500/160000] lr: 5.194e-05, eta: 13:10:46, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2032, decode.acc_seg: 91.9796, loss: 0.2032 2023-01-06 01:22:58,614 - mmseg - INFO - Iter [21550/160000] lr: 5.192e-05, eta: 13:10:25, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1955, decode.acc_seg: 92.5769, loss: 0.1955 2023-01-06 01:23:17,720 - mmseg - INFO - Iter [21600/160000] lr: 5.190e-05, eta: 13:10:21, time: 0.382, data_time: 0.056, memory: 8466, decode.loss_ce: 0.2047, decode.acc_seg: 92.4140, loss: 0.2047 2023-01-06 01:23:34,096 - mmseg - INFO - Iter [21650/160000] lr: 5.188e-05, eta: 13:09:59, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1902, decode.acc_seg: 92.7508, loss: 0.1902 2023-01-06 01:23:50,623 - mmseg - INFO - Iter [21700/160000] lr: 5.186e-05, eta: 13:09:38, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2135, decode.acc_seg: 92.1709, loss: 0.2135 2023-01-06 01:24:07,567 - mmseg - INFO - Iter [21750/160000] lr: 5.184e-05, eta: 13:09:19, time: 0.339, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2134, decode.acc_seg: 92.1565, loss: 0.2134 2023-01-06 01:24:23,892 - mmseg - INFO - Iter [21800/160000] lr: 5.183e-05, eta: 13:08:57, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2051, decode.acc_seg: 92.2891, loss: 0.2051 2023-01-06 01:24:40,726 - mmseg - INFO - Iter [21850/160000] lr: 5.181e-05, eta: 13:08:38, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2086, decode.acc_seg: 91.9339, loss: 0.2086 2023-01-06 01:24:57,572 - mmseg - INFO - Iter [21900/160000] lr: 5.179e-05, eta: 13:08:19, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2005, decode.acc_seg: 92.3844, loss: 0.2005 2023-01-06 01:25:16,550 - mmseg - INFO - Iter [21950/160000] lr: 5.177e-05, eta: 13:08:14, time: 0.379, data_time: 0.055, memory: 8466, decode.loss_ce: 0.2132, decode.acc_seg: 92.1604, loss: 0.2132 2023-01-06 01:25:33,733 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 01:25:33,734 - mmseg - INFO - Iter [22000/160000] lr: 5.175e-05, eta: 13:07:57, time: 0.344, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1914, decode.acc_seg: 92.6399, loss: 0.1914 2023-01-06 01:25:50,507 - mmseg - INFO - Iter [22050/160000] lr: 5.173e-05, eta: 13:07:38, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1989, decode.acc_seg: 92.4346, loss: 0.1989 2023-01-06 01:26:07,648 - mmseg - INFO - Iter [22100/160000] lr: 5.171e-05, eta: 13:07:21, time: 0.343, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2077, decode.acc_seg: 92.4750, loss: 0.2077 2023-01-06 01:26:24,300 - mmseg - INFO - Iter [22150/160000] lr: 5.169e-05, eta: 13:07:00, time: 0.333, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1911, decode.acc_seg: 92.7853, loss: 0.1911 2023-01-06 01:26:41,177 - mmseg - INFO - Iter [22200/160000] lr: 5.168e-05, eta: 13:06:42, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2425, decode.acc_seg: 91.2885, loss: 0.2425 2023-01-06 01:26:57,590 - mmseg - INFO - Iter [22250/160000] lr: 5.166e-05, eta: 13:06:20, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2018, decode.acc_seg: 92.7277, loss: 0.2018 2023-01-06 01:27:14,071 - mmseg - INFO - Iter [22300/160000] lr: 5.164e-05, eta: 13:05:59, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2068, decode.acc_seg: 91.9938, loss: 0.2068 2023-01-06 01:27:32,782 - mmseg - INFO - Iter [22350/160000] lr: 5.162e-05, eta: 13:05:52, time: 0.374, data_time: 0.056, memory: 8466, decode.loss_ce: 0.2059, decode.acc_seg: 92.5400, loss: 0.2059 2023-01-06 01:27:49,449 - mmseg - INFO - Iter [22400/160000] lr: 5.160e-05, eta: 13:05:32, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1911, decode.acc_seg: 92.8790, loss: 0.1911 2023-01-06 01:28:06,448 - mmseg - INFO - Iter [22450/160000] lr: 5.158e-05, eta: 13:05:14, time: 0.340, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2129, decode.acc_seg: 92.0226, loss: 0.2129 2023-01-06 01:28:23,235 - mmseg - INFO - Iter [22500/160000] lr: 5.156e-05, eta: 13:04:55, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1961, decode.acc_seg: 92.3448, loss: 0.1961 2023-01-06 01:28:40,330 - mmseg - INFO - Iter [22550/160000] lr: 5.154e-05, eta: 13:04:38, time: 0.342, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1950, decode.acc_seg: 92.7387, loss: 0.1950 2023-01-06 01:28:57,141 - mmseg - INFO - Iter [22600/160000] lr: 5.153e-05, eta: 13:04:18, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1735, decode.acc_seg: 93.1187, loss: 0.1735 2023-01-06 01:29:13,799 - mmseg - INFO - Iter [22650/160000] lr: 5.151e-05, eta: 13:03:59, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1933, decode.acc_seg: 92.7559, loss: 0.1933 2023-01-06 01:29:33,562 - mmseg - INFO - Iter [22700/160000] lr: 5.149e-05, eta: 13:03:57, time: 0.395, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1936, decode.acc_seg: 92.8359, loss: 0.1936 2023-01-06 01:29:50,338 - mmseg - INFO - Iter [22750/160000] lr: 5.147e-05, eta: 13:03:38, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2017, decode.acc_seg: 92.2877, loss: 0.2017 2023-01-06 01:30:07,033 - mmseg - INFO - Iter [22800/160000] lr: 5.145e-05, eta: 13:03:18, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1828, decode.acc_seg: 93.1279, loss: 0.1828 2023-01-06 01:30:23,597 - mmseg - INFO - Iter [22850/160000] lr: 5.143e-05, eta: 13:02:58, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1913, decode.acc_seg: 92.7553, loss: 0.1913 2023-01-06 01:30:40,262 - mmseg - INFO - Iter [22900/160000] lr: 5.141e-05, eta: 13:02:38, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2033, decode.acc_seg: 92.3695, loss: 0.2033 2023-01-06 01:30:56,905 - mmseg - INFO - Iter [22950/160000] lr: 5.139e-05, eta: 13:02:18, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2098, decode.acc_seg: 92.0854, loss: 0.2098 2023-01-06 01:31:13,197 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 01:31:13,197 - mmseg - INFO - Iter [23000/160000] lr: 5.138e-05, eta: 13:01:56, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2064, decode.acc_seg: 92.2674, loss: 0.2064 2023-01-06 01:31:29,888 - mmseg - INFO - Iter [23050/160000] lr: 5.136e-05, eta: 13:01:36, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1898, decode.acc_seg: 92.5290, loss: 0.1898 2023-01-06 01:31:48,994 - mmseg - INFO - Iter [23100/160000] lr: 5.134e-05, eta: 13:01:31, time: 0.382, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1841, decode.acc_seg: 92.7448, loss: 0.1841 2023-01-06 01:32:05,486 - mmseg - INFO - Iter [23150/160000] lr: 5.132e-05, eta: 13:01:10, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1936, decode.acc_seg: 92.7132, loss: 0.1936 2023-01-06 01:32:22,179 - mmseg - INFO - Iter [23200/160000] lr: 5.130e-05, eta: 13:00:50, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2019, decode.acc_seg: 92.6767, loss: 0.2019 2023-01-06 01:32:38,756 - mmseg - INFO - Iter [23250/160000] lr: 5.128e-05, eta: 13:00:30, time: 0.331, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2019, decode.acc_seg: 92.4997, loss: 0.2019 2023-01-06 01:32:55,743 - mmseg - INFO - Iter [23300/160000] lr: 5.126e-05, eta: 13:00:12, time: 0.340, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1977, decode.acc_seg: 92.4091, loss: 0.1977 2023-01-06 01:33:12,387 - mmseg - INFO - Iter [23350/160000] lr: 5.124e-05, eta: 12:59:52, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1911, decode.acc_seg: 92.7497, loss: 0.1911 2023-01-06 01:33:29,178 - mmseg - INFO - Iter [23400/160000] lr: 5.123e-05, eta: 12:59:33, time: 0.336, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1895, decode.acc_seg: 92.7753, loss: 0.1895 2023-01-06 01:33:48,329 - mmseg - INFO - Iter [23450/160000] lr: 5.121e-05, eta: 12:59:28, time: 0.383, data_time: 0.054, memory: 8466, decode.loss_ce: 0.2151, decode.acc_seg: 92.2002, loss: 0.2151 2023-01-06 01:34:04,977 - mmseg - INFO - Iter [23500/160000] lr: 5.119e-05, eta: 12:59:08, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2233, decode.acc_seg: 91.5903, loss: 0.2233 2023-01-06 01:34:21,502 - mmseg - INFO - Iter [23550/160000] lr: 5.117e-05, eta: 12:58:47, time: 0.331, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2034, decode.acc_seg: 92.4673, loss: 0.2034 2023-01-06 01:34:37,796 - mmseg - INFO - Iter [23600/160000] lr: 5.115e-05, eta: 12:58:25, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1869, decode.acc_seg: 92.8619, loss: 0.1869 2023-01-06 01:34:54,387 - mmseg - INFO - Iter [23650/160000] lr: 5.113e-05, eta: 12:58:05, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2025, decode.acc_seg: 92.5544, loss: 0.2025 2023-01-06 01:35:10,867 - mmseg - INFO - Iter [23700/160000] lr: 5.111e-05, eta: 12:57:44, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2135, decode.acc_seg: 92.3776, loss: 0.2135 2023-01-06 01:35:27,620 - mmseg - INFO - Iter [23750/160000] lr: 5.109e-05, eta: 12:57:25, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1950, decode.acc_seg: 92.6625, loss: 0.1950 2023-01-06 01:35:44,037 - mmseg - INFO - Iter [23800/160000] lr: 5.108e-05, eta: 12:57:04, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2213, decode.acc_seg: 91.8442, loss: 0.2213 2023-01-06 01:36:02,675 - mmseg - INFO - Iter [23850/160000] lr: 5.106e-05, eta: 12:56:56, time: 0.373, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1906, decode.acc_seg: 92.6964, loss: 0.1906 2023-01-06 01:36:19,418 - mmseg - INFO - Iter [23900/160000] lr: 5.104e-05, eta: 12:56:36, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1784, decode.acc_seg: 92.8106, loss: 0.1784 2023-01-06 01:36:35,827 - mmseg - INFO - Iter [23950/160000] lr: 5.102e-05, eta: 12:56:15, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1819, decode.acc_seg: 93.0083, loss: 0.1819 2023-01-06 01:36:52,360 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 01:36:52,361 - mmseg - INFO - Iter [24000/160000] lr: 5.100e-05, eta: 12:55:55, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1784, decode.acc_seg: 92.9991, loss: 0.1784 2023-01-06 01:37:08,994 - mmseg - INFO - Iter [24050/160000] lr: 5.098e-05, eta: 12:55:35, time: 0.333, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1863, decode.acc_seg: 92.7234, loss: 0.1863 2023-01-06 01:37:25,514 - mmseg - INFO - Iter [24100/160000] lr: 5.096e-05, eta: 12:55:14, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1987, decode.acc_seg: 92.6144, loss: 0.1987 2023-01-06 01:37:42,253 - mmseg - INFO - Iter [24150/160000] lr: 5.094e-05, eta: 12:54:55, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1876, decode.acc_seg: 92.9230, loss: 0.1876 2023-01-06 01:38:01,627 - mmseg - INFO - Iter [24200/160000] lr: 5.093e-05, eta: 12:54:51, time: 0.387, data_time: 0.056, memory: 8466, decode.loss_ce: 0.2025, decode.acc_seg: 92.5535, loss: 0.2025 2023-01-06 01:38:18,631 - mmseg - INFO - Iter [24250/160000] lr: 5.091e-05, eta: 12:54:33, time: 0.340, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2022, decode.acc_seg: 92.2594, loss: 0.2022 2023-01-06 01:38:35,643 - mmseg - INFO - Iter [24300/160000] lr: 5.089e-05, eta: 12:54:15, time: 0.340, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1819, decode.acc_seg: 93.1341, loss: 0.1819 2023-01-06 01:38:52,226 - mmseg - INFO - Iter [24350/160000] lr: 5.087e-05, eta: 12:53:55, time: 0.332, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1855, decode.acc_seg: 92.9073, loss: 0.1855 2023-01-06 01:39:08,550 - mmseg - INFO - Iter [24400/160000] lr: 5.085e-05, eta: 12:53:34, time: 0.327, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2130, decode.acc_seg: 92.1347, loss: 0.2130 2023-01-06 01:39:25,192 - mmseg - INFO - Iter [24450/160000] lr: 5.083e-05, eta: 12:53:14, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2132, decode.acc_seg: 92.0838, loss: 0.2132 2023-01-06 01:39:41,939 - mmseg - INFO - Iter [24500/160000] lr: 5.081e-05, eta: 12:52:55, time: 0.335, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2111, decode.acc_seg: 92.1251, loss: 0.2111 2023-01-06 01:39:58,350 - mmseg - INFO - Iter [24550/160000] lr: 5.079e-05, eta: 12:52:34, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1873, decode.acc_seg: 92.8721, loss: 0.1873 2023-01-06 01:40:17,273 - mmseg - INFO - Iter [24600/160000] lr: 5.078e-05, eta: 12:52:27, time: 0.378, data_time: 0.054, memory: 8466, decode.loss_ce: 0.1972, decode.acc_seg: 92.6736, loss: 0.1972 2023-01-06 01:40:33,547 - mmseg - INFO - Iter [24650/160000] lr: 5.076e-05, eta: 12:52:05, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1989, decode.acc_seg: 92.6855, loss: 0.1989 2023-01-06 01:40:49,752 - mmseg - INFO - Iter [24700/160000] lr: 5.074e-05, eta: 12:51:43, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1969, decode.acc_seg: 92.5742, loss: 0.1969 2023-01-06 01:41:06,560 - mmseg - INFO - Iter [24750/160000] lr: 5.072e-05, eta: 12:51:24, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1795, decode.acc_seg: 92.8664, loss: 0.1795 2023-01-06 01:41:23,261 - mmseg - INFO - Iter [24800/160000] lr: 5.070e-05, eta: 12:51:05, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1916, decode.acc_seg: 92.9096, loss: 0.1916 2023-01-06 01:41:40,182 - mmseg - INFO - Iter [24850/160000] lr: 5.068e-05, eta: 12:50:47, time: 0.339, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2010, decode.acc_seg: 92.6237, loss: 0.2010 2023-01-06 01:41:56,961 - mmseg - INFO - Iter [24900/160000] lr: 5.066e-05, eta: 12:50:28, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1948, decode.acc_seg: 92.8323, loss: 0.1948 2023-01-06 01:42:15,646 - mmseg - INFO - Iter [24950/160000] lr: 5.064e-05, eta: 12:50:19, time: 0.374, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1734, decode.acc_seg: 93.3389, loss: 0.1734 2023-01-06 01:42:32,074 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 01:42:32,075 - mmseg - INFO - Iter [25000/160000] lr: 5.063e-05, eta: 12:49:58, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1838, decode.acc_seg: 93.1973, loss: 0.1838 2023-01-06 01:42:48,887 - mmseg - INFO - Iter [25050/160000] lr: 5.061e-05, eta: 12:49:39, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1889, decode.acc_seg: 92.8914, loss: 0.1889 2023-01-06 01:43:05,269 - mmseg - INFO - Iter [25100/160000] lr: 5.059e-05, eta: 12:49:18, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1835, decode.acc_seg: 92.9438, loss: 0.1835 2023-01-06 01:43:21,788 - mmseg - INFO - Iter [25150/160000] lr: 5.057e-05, eta: 12:48:58, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2230, decode.acc_seg: 91.8421, loss: 0.2230 2023-01-06 01:43:38,780 - mmseg - INFO - Iter [25200/160000] lr: 5.055e-05, eta: 12:48:41, time: 0.340, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2193, decode.acc_seg: 91.9639, loss: 0.2193 2023-01-06 01:43:55,275 - mmseg - INFO - Iter [25250/160000] lr: 5.053e-05, eta: 12:48:20, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1991, decode.acc_seg: 92.5091, loss: 0.1991 2023-01-06 01:44:14,537 - mmseg - INFO - Iter [25300/160000] lr: 5.051e-05, eta: 12:48:15, time: 0.385, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1962, decode.acc_seg: 92.3641, loss: 0.1962 2023-01-06 01:44:31,006 - mmseg - INFO - Iter [25350/160000] lr: 5.049e-05, eta: 12:47:54, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1852, decode.acc_seg: 92.7970, loss: 0.1852 2023-01-06 01:44:47,895 - mmseg - INFO - Iter [25400/160000] lr: 5.048e-05, eta: 12:47:36, time: 0.338, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1865, decode.acc_seg: 92.9551, loss: 0.1865 2023-01-06 01:45:04,388 - mmseg - INFO - Iter [25450/160000] lr: 5.046e-05, eta: 12:47:15, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1670, decode.acc_seg: 93.5012, loss: 0.1670 2023-01-06 01:45:20,976 - mmseg - INFO - Iter [25500/160000] lr: 5.044e-05, eta: 12:46:55, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1972, decode.acc_seg: 92.5149, loss: 0.1972 2023-01-06 01:45:38,130 - mmseg - INFO - Iter [25550/160000] lr: 5.042e-05, eta: 12:46:39, time: 0.344, data_time: 0.020, memory: 8466, decode.loss_ce: 0.2096, decode.acc_seg: 92.1939, loss: 0.2096 2023-01-06 01:45:54,858 - mmseg - INFO - Iter [25600/160000] lr: 5.040e-05, eta: 12:46:20, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1916, decode.acc_seg: 92.5473, loss: 0.1916 2023-01-06 01:46:11,366 - mmseg - INFO - Iter [25650/160000] lr: 5.038e-05, eta: 12:45:59, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1942, decode.acc_seg: 92.6574, loss: 0.1942 2023-01-06 01:46:30,206 - mmseg - INFO - Iter [25700/160000] lr: 5.036e-05, eta: 12:45:51, time: 0.377, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1851, decode.acc_seg: 93.1940, loss: 0.1851 2023-01-06 01:46:47,163 - mmseg - INFO - Iter [25750/160000] lr: 5.034e-05, eta: 12:45:33, time: 0.339, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1718, decode.acc_seg: 93.2521, loss: 0.1718 2023-01-06 01:47:03,789 - mmseg - INFO - Iter [25800/160000] lr: 5.033e-05, eta: 12:45:14, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2013, decode.acc_seg: 92.1454, loss: 0.2013 2023-01-06 01:47:20,133 - mmseg - INFO - Iter [25850/160000] lr: 5.031e-05, eta: 12:44:53, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1974, decode.acc_seg: 92.6985, loss: 0.1974 2023-01-06 01:47:37,024 - mmseg - INFO - Iter [25900/160000] lr: 5.029e-05, eta: 12:44:34, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1898, decode.acc_seg: 92.9154, loss: 0.1898 2023-01-06 01:47:53,597 - mmseg - INFO - Iter [25950/160000] lr: 5.027e-05, eta: 12:44:15, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1892, decode.acc_seg: 92.6300, loss: 0.1892 2023-01-06 01:48:09,781 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 01:48:09,781 - mmseg - INFO - Iter [26000/160000] lr: 5.025e-05, eta: 12:43:53, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1816, decode.acc_seg: 92.8130, loss: 0.1816 2023-01-06 01:48:28,414 - mmseg - INFO - Iter [26050/160000] lr: 5.023e-05, eta: 12:43:44, time: 0.373, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1719, decode.acc_seg: 93.3440, loss: 0.1719 2023-01-06 01:48:44,931 - mmseg - INFO - Iter [26100/160000] lr: 5.021e-05, eta: 12:43:23, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1804, decode.acc_seg: 93.2136, loss: 0.1804 2023-01-06 01:49:01,642 - mmseg - INFO - Iter [26150/160000] lr: 5.019e-05, eta: 12:43:04, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1955, decode.acc_seg: 92.8701, loss: 0.1955 2023-01-06 01:49:18,405 - mmseg - INFO - Iter [26200/160000] lr: 5.018e-05, eta: 12:42:45, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1849, decode.acc_seg: 92.8365, loss: 0.1849 2023-01-06 01:49:35,319 - mmseg - INFO - Iter [26250/160000] lr: 5.016e-05, eta: 12:42:27, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2175, decode.acc_seg: 92.3566, loss: 0.2175 2023-01-06 01:49:51,577 - mmseg - INFO - Iter [26300/160000] lr: 5.014e-05, eta: 12:42:06, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1913, decode.acc_seg: 92.6485, loss: 0.1913 2023-01-06 01:50:08,251 - mmseg - INFO - Iter [26350/160000] lr: 5.012e-05, eta: 12:41:47, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1998, decode.acc_seg: 92.3885, loss: 0.1998 2023-01-06 01:50:24,535 - mmseg - INFO - Iter [26400/160000] lr: 5.010e-05, eta: 12:41:26, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1791, decode.acc_seg: 92.8462, loss: 0.1791 2023-01-06 01:50:43,350 - mmseg - INFO - Iter [26450/160000] lr: 5.008e-05, eta: 12:41:17, time: 0.376, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1876, decode.acc_seg: 92.8025, loss: 0.1876 2023-01-06 01:50:59,676 - mmseg - INFO - Iter [26500/160000] lr: 5.006e-05, eta: 12:40:56, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1892, decode.acc_seg: 92.8183, loss: 0.1892 2023-01-06 01:51:16,182 - mmseg - INFO - Iter [26550/160000] lr: 5.004e-05, eta: 12:40:36, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1740, decode.acc_seg: 93.1049, loss: 0.1740 2023-01-06 01:51:32,803 - mmseg - INFO - Iter [26600/160000] lr: 5.003e-05, eta: 12:40:16, time: 0.332, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1828, decode.acc_seg: 92.9407, loss: 0.1828 2023-01-06 01:51:49,583 - mmseg - INFO - Iter [26650/160000] lr: 5.001e-05, eta: 12:39:58, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1849, decode.acc_seg: 92.9335, loss: 0.1849 2023-01-06 01:52:06,670 - mmseg - INFO - Iter [26700/160000] lr: 4.999e-05, eta: 12:39:41, time: 0.341, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1933, decode.acc_seg: 92.6488, loss: 0.1933 2023-01-06 01:52:23,388 - mmseg - INFO - Iter [26750/160000] lr: 4.997e-05, eta: 12:39:22, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1818, decode.acc_seg: 93.1045, loss: 0.1818 2023-01-06 01:52:42,078 - mmseg - INFO - Iter [26800/160000] lr: 4.995e-05, eta: 12:39:12, time: 0.374, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1946, decode.acc_seg: 92.6206, loss: 0.1946 2023-01-06 01:52:58,777 - mmseg - INFO - Iter [26850/160000] lr: 4.993e-05, eta: 12:38:53, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1889, decode.acc_seg: 92.7793, loss: 0.1889 2023-01-06 01:53:14,992 - mmseg - INFO - Iter [26900/160000] lr: 4.991e-05, eta: 12:38:32, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1875, decode.acc_seg: 92.9807, loss: 0.1875 2023-01-06 01:53:31,567 - mmseg - INFO - Iter [26950/160000] lr: 4.989e-05, eta: 12:38:12, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1909, decode.acc_seg: 92.7630, loss: 0.1909 2023-01-06 01:53:48,346 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 01:53:48,347 - mmseg - INFO - Iter [27000/160000] lr: 4.988e-05, eta: 12:37:54, time: 0.336, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1932, decode.acc_seg: 92.7952, loss: 0.1932 2023-01-06 01:54:04,913 - mmseg - INFO - Iter [27050/160000] lr: 4.986e-05, eta: 12:37:34, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1923, decode.acc_seg: 92.6943, loss: 0.1923 2023-01-06 01:54:21,654 - mmseg - INFO - Iter [27100/160000] lr: 4.984e-05, eta: 12:37:15, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1845, decode.acc_seg: 92.9430, loss: 0.1845 2023-01-06 01:54:38,385 - mmseg - INFO - Iter [27150/160000] lr: 4.982e-05, eta: 12:36:56, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1735, decode.acc_seg: 93.0530, loss: 0.1735 2023-01-06 01:54:57,088 - mmseg - INFO - Iter [27200/160000] lr: 4.980e-05, eta: 12:36:47, time: 0.374, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1766, decode.acc_seg: 93.1532, loss: 0.1766 2023-01-06 01:55:13,734 - mmseg - INFO - Iter [27250/160000] lr: 4.978e-05, eta: 12:36:28, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1724, decode.acc_seg: 93.2424, loss: 0.1724 2023-01-06 01:55:30,019 - mmseg - INFO - Iter [27300/160000] lr: 4.976e-05, eta: 12:36:07, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1799, decode.acc_seg: 93.2054, loss: 0.1799 2023-01-06 01:55:46,721 - mmseg - INFO - Iter [27350/160000] lr: 4.974e-05, eta: 12:35:48, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1861, decode.acc_seg: 92.7194, loss: 0.1861 2023-01-06 01:56:03,385 - mmseg - INFO - Iter [27400/160000] lr: 4.973e-05, eta: 12:35:28, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1985, decode.acc_seg: 92.4086, loss: 0.1985 2023-01-06 01:56:20,114 - mmseg - INFO - Iter [27450/160000] lr: 4.971e-05, eta: 12:35:10, time: 0.335, data_time: 0.011, memory: 8466, decode.loss_ce: 0.2163, decode.acc_seg: 92.0813, loss: 0.2163 2023-01-06 01:56:36,239 - mmseg - INFO - Iter [27500/160000] lr: 4.969e-05, eta: 12:34:48, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1764, decode.acc_seg: 93.1609, loss: 0.1764 2023-01-06 01:56:54,778 - mmseg - INFO - Iter [27550/160000] lr: 4.967e-05, eta: 12:34:38, time: 0.371, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1710, decode.acc_seg: 93.5171, loss: 0.1710 2023-01-06 01:57:11,039 - mmseg - INFO - Iter [27600/160000] lr: 4.965e-05, eta: 12:34:17, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1704, decode.acc_seg: 93.2578, loss: 0.1704 2023-01-06 01:57:27,635 - mmseg - INFO - Iter [27650/160000] lr: 4.963e-05, eta: 12:33:57, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1690, decode.acc_seg: 93.3644, loss: 0.1690 2023-01-06 01:57:44,214 - mmseg - INFO - Iter [27700/160000] lr: 4.961e-05, eta: 12:33:38, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2051, decode.acc_seg: 92.6066, loss: 0.2051 2023-01-06 01:58:00,806 - mmseg - INFO - Iter [27750/160000] lr: 4.959e-05, eta: 12:33:18, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1881, decode.acc_seg: 92.9046, loss: 0.1881 2023-01-06 01:58:17,349 - mmseg - INFO - Iter [27800/160000] lr: 4.958e-05, eta: 12:32:58, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1861, decode.acc_seg: 92.8925, loss: 0.1861 2023-01-06 01:58:33,655 - mmseg - INFO - Iter [27850/160000] lr: 4.956e-05, eta: 12:32:38, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1818, decode.acc_seg: 93.1646, loss: 0.1818 2023-01-06 01:58:50,407 - mmseg - INFO - Iter [27900/160000] lr: 4.954e-05, eta: 12:32:19, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1779, decode.acc_seg: 92.9951, loss: 0.1779 2023-01-06 01:59:09,308 - mmseg - INFO - Iter [27950/160000] lr: 4.952e-05, eta: 12:32:11, time: 0.378, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1799, decode.acc_seg: 93.0268, loss: 0.1799 2023-01-06 01:59:26,050 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 01:59:26,051 - mmseg - INFO - Iter [28000/160000] lr: 4.950e-05, eta: 12:31:52, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1832, decode.acc_seg: 93.0210, loss: 0.1832 2023-01-06 01:59:42,296 - mmseg - INFO - Iter [28050/160000] lr: 4.948e-05, eta: 12:31:31, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2031, decode.acc_seg: 92.4983, loss: 0.2031 2023-01-06 01:59:58,606 - mmseg - INFO - Iter [28100/160000] lr: 4.946e-05, eta: 12:31:10, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1787, decode.acc_seg: 93.1456, loss: 0.1787 2023-01-06 02:00:15,043 - mmseg - INFO - Iter [28150/160000] lr: 4.944e-05, eta: 12:30:50, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1865, decode.acc_seg: 92.8307, loss: 0.1865 2023-01-06 02:00:31,371 - mmseg - INFO - Iter [28200/160000] lr: 4.943e-05, eta: 12:30:29, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1993, decode.acc_seg: 92.6321, loss: 0.1993 2023-01-06 02:00:48,116 - mmseg - INFO - Iter [28250/160000] lr: 4.941e-05, eta: 12:30:11, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2078, decode.acc_seg: 92.2816, loss: 0.2078 2023-01-06 02:01:06,833 - mmseg - INFO - Iter [28300/160000] lr: 4.939e-05, eta: 12:30:01, time: 0.375, data_time: 0.056, memory: 8466, decode.loss_ce: 0.2021, decode.acc_seg: 92.3747, loss: 0.2021 2023-01-06 02:01:23,300 - mmseg - INFO - Iter [28350/160000] lr: 4.937e-05, eta: 12:29:41, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1826, decode.acc_seg: 92.9388, loss: 0.1826 2023-01-06 02:01:40,427 - mmseg - INFO - Iter [28400/160000] lr: 4.935e-05, eta: 12:29:24, time: 0.343, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1651, decode.acc_seg: 93.6623, loss: 0.1651 2023-01-06 02:01:56,843 - mmseg - INFO - Iter [28450/160000] lr: 4.933e-05, eta: 12:29:04, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1846, decode.acc_seg: 93.1360, loss: 0.1846 2023-01-06 02:02:13,483 - mmseg - INFO - Iter [28500/160000] lr: 4.931e-05, eta: 12:28:45, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2025, decode.acc_seg: 92.5353, loss: 0.2025 2023-01-06 02:02:30,117 - mmseg - INFO - Iter [28550/160000] lr: 4.929e-05, eta: 12:28:26, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1786, decode.acc_seg: 93.1067, loss: 0.1786 2023-01-06 02:02:47,485 - mmseg - INFO - Iter [28600/160000] lr: 4.928e-05, eta: 12:28:10, time: 0.348, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1812, decode.acc_seg: 93.1481, loss: 0.1812 2023-01-06 02:03:06,241 - mmseg - INFO - Iter [28650/160000] lr: 4.926e-05, eta: 12:28:01, time: 0.375, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1747, decode.acc_seg: 93.1754, loss: 0.1747 2023-01-06 02:03:22,881 - mmseg - INFO - Iter [28700/160000] lr: 4.924e-05, eta: 12:27:42, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1889, decode.acc_seg: 92.8551, loss: 0.1889 2023-01-06 02:03:39,477 - mmseg - INFO - Iter [28750/160000] lr: 4.922e-05, eta: 12:27:22, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1828, decode.acc_seg: 92.8562, loss: 0.1828 2023-01-06 02:03:55,770 - mmseg - INFO - Iter [28800/160000] lr: 4.920e-05, eta: 12:27:02, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1799, decode.acc_seg: 93.1087, loss: 0.1799 2023-01-06 02:04:12,719 - mmseg - INFO - Iter [28850/160000] lr: 4.918e-05, eta: 12:26:44, time: 0.339, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1803, decode.acc_seg: 93.1672, loss: 0.1803 2023-01-06 02:04:29,124 - mmseg - INFO - Iter [28900/160000] lr: 4.916e-05, eta: 12:26:24, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1842, decode.acc_seg: 92.9317, loss: 0.1842 2023-01-06 02:04:46,202 - mmseg - INFO - Iter [28950/160000] lr: 4.914e-05, eta: 12:26:07, time: 0.342, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1728, decode.acc_seg: 93.3533, loss: 0.1728 2023-01-06 02:05:02,473 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 02:05:02,473 - mmseg - INFO - Iter [29000/160000] lr: 4.913e-05, eta: 12:25:46, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1876, decode.acc_seg: 92.8876, loss: 0.1876 2023-01-06 02:05:21,877 - mmseg - INFO - Iter [29050/160000] lr: 4.911e-05, eta: 12:25:39, time: 0.388, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1839, decode.acc_seg: 92.9610, loss: 0.1839 2023-01-06 02:05:39,059 - mmseg - INFO - Iter [29100/160000] lr: 4.909e-05, eta: 12:25:23, time: 0.344, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1893, decode.acc_seg: 93.0255, loss: 0.1893 2023-01-06 02:05:55,524 - mmseg - INFO - Iter [29150/160000] lr: 4.907e-05, eta: 12:25:03, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1808, decode.acc_seg: 93.2337, loss: 0.1808 2023-01-06 02:06:12,345 - mmseg - INFO - Iter [29200/160000] lr: 4.905e-05, eta: 12:24:45, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1577, decode.acc_seg: 93.7844, loss: 0.1577 2023-01-06 02:06:28,832 - mmseg - INFO - Iter [29250/160000] lr: 4.903e-05, eta: 12:24:25, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1727, decode.acc_seg: 93.0572, loss: 0.1727 2023-01-06 02:06:45,378 - mmseg - INFO - Iter [29300/160000] lr: 4.901e-05, eta: 12:24:05, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1621, decode.acc_seg: 93.5271, loss: 0.1621 2023-01-06 02:07:01,917 - mmseg - INFO - Iter [29350/160000] lr: 4.899e-05, eta: 12:23:46, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1956, decode.acc_seg: 92.9592, loss: 0.1956 2023-01-06 02:07:20,702 - mmseg - INFO - Iter [29400/160000] lr: 4.898e-05, eta: 12:23:36, time: 0.376, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1740, decode.acc_seg: 93.2427, loss: 0.1740 2023-01-06 02:07:36,926 - mmseg - INFO - Iter [29450/160000] lr: 4.896e-05, eta: 12:23:15, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1561, decode.acc_seg: 93.8894, loss: 0.1561 2023-01-06 02:07:53,068 - mmseg - INFO - Iter [29500/160000] lr: 4.894e-05, eta: 12:22:54, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1984, decode.acc_seg: 92.6990, loss: 0.1984 2023-01-06 02:08:09,534 - mmseg - INFO - Iter [29550/160000] lr: 4.892e-05, eta: 12:22:34, time: 0.329, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1914, decode.acc_seg: 92.6787, loss: 0.1914 2023-01-06 02:08:26,071 - mmseg - INFO - Iter [29600/160000] lr: 4.890e-05, eta: 12:22:15, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1693, decode.acc_seg: 93.5372, loss: 0.1693 2023-01-06 02:08:42,699 - mmseg - INFO - Iter [29650/160000] lr: 4.888e-05, eta: 12:21:56, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1957, decode.acc_seg: 92.7763, loss: 0.1957 2023-01-06 02:08:59,931 - mmseg - INFO - Iter [29700/160000] lr: 4.886e-05, eta: 12:21:40, time: 0.345, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1866, decode.acc_seg: 92.7191, loss: 0.1866 2023-01-06 02:09:16,653 - mmseg - INFO - Iter [29750/160000] lr: 4.884e-05, eta: 12:21:21, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1824, decode.acc_seg: 93.1556, loss: 0.1824 2023-01-06 02:09:35,666 - mmseg - INFO - Iter [29800/160000] lr: 4.883e-05, eta: 12:21:12, time: 0.381, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1737, decode.acc_seg: 93.3748, loss: 0.1737 2023-01-06 02:09:52,084 - mmseg - INFO - Iter [29850/160000] lr: 4.881e-05, eta: 12:20:52, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1723, decode.acc_seg: 93.4332, loss: 0.1723 2023-01-06 02:10:09,295 - mmseg - INFO - Iter [29900/160000] lr: 4.879e-05, eta: 12:20:36, time: 0.344, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1770, decode.acc_seg: 93.2182, loss: 0.1770 2023-01-06 02:10:25,556 - mmseg - INFO - Iter [29950/160000] lr: 4.877e-05, eta: 12:20:15, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1631, decode.acc_seg: 93.5905, loss: 0.1631 2023-01-06 02:10:42,397 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 02:10:42,397 - mmseg - INFO - Iter [30000/160000] lr: 4.875e-05, eta: 12:19:57, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1778, decode.acc_seg: 93.3954, loss: 0.1778 2023-01-06 02:10:58,521 - mmseg - INFO - Iter [30050/160000] lr: 4.873e-05, eta: 12:19:36, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1791, decode.acc_seg: 93.1775, loss: 0.1791 2023-01-06 02:11:15,240 - mmseg - INFO - Iter [30100/160000] lr: 4.871e-05, eta: 12:19:17, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1779, decode.acc_seg: 93.1621, loss: 0.1779 2023-01-06 02:11:34,382 - mmseg - INFO - Iter [30150/160000] lr: 4.869e-05, eta: 12:19:09, time: 0.383, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1794, decode.acc_seg: 93.1303, loss: 0.1794 2023-01-06 02:11:50,824 - mmseg - INFO - Iter [30200/160000] lr: 4.868e-05, eta: 12:18:49, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1923, decode.acc_seg: 92.7129, loss: 0.1923 2023-01-06 02:12:07,281 - mmseg - INFO - Iter [30250/160000] lr: 4.866e-05, eta: 12:18:30, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1747, decode.acc_seg: 93.4863, loss: 0.1747 2023-01-06 02:12:23,743 - mmseg - INFO - Iter [30300/160000] lr: 4.864e-05, eta: 12:18:10, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1838, decode.acc_seg: 92.8870, loss: 0.1838 2023-01-06 02:12:40,377 - mmseg - INFO - Iter [30350/160000] lr: 4.862e-05, eta: 12:17:51, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1895, decode.acc_seg: 92.7480, loss: 0.1895 2023-01-06 02:12:56,878 - mmseg - INFO - Iter [30400/160000] lr: 4.860e-05, eta: 12:17:31, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1844, decode.acc_seg: 92.9714, loss: 0.1844 2023-01-06 02:13:13,448 - mmseg - INFO - Iter [30450/160000] lr: 4.858e-05, eta: 12:17:12, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1823, decode.acc_seg: 92.9945, loss: 0.1823 2023-01-06 02:13:30,322 - mmseg - INFO - Iter [30500/160000] lr: 4.856e-05, eta: 12:16:54, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1696, decode.acc_seg: 93.5019, loss: 0.1696 2023-01-06 02:13:49,611 - mmseg - INFO - Iter [30550/160000] lr: 4.854e-05, eta: 12:16:47, time: 0.385, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1659, decode.acc_seg: 93.6678, loss: 0.1659 2023-01-06 02:14:06,475 - mmseg - INFO - Iter [30600/160000] lr: 4.853e-05, eta: 12:16:29, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1735, decode.acc_seg: 93.4029, loss: 0.1735 2023-01-06 02:14:23,511 - mmseg - INFO - Iter [30650/160000] lr: 4.851e-05, eta: 12:16:11, time: 0.341, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1821, decode.acc_seg: 93.0185, loss: 0.1821 2023-01-06 02:14:40,344 - mmseg - INFO - Iter [30700/160000] lr: 4.849e-05, eta: 12:15:53, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1854, decode.acc_seg: 92.7324, loss: 0.1854 2023-01-06 02:14:56,563 - mmseg - INFO - Iter [30750/160000] lr: 4.847e-05, eta: 12:15:33, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1706, decode.acc_seg: 93.3101, loss: 0.1706 2023-01-06 02:15:12,821 - mmseg - INFO - Iter [30800/160000] lr: 4.845e-05, eta: 12:15:12, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1686, decode.acc_seg: 93.4681, loss: 0.1686 2023-01-06 02:15:29,084 - mmseg - INFO - Iter [30850/160000] lr: 4.843e-05, eta: 12:14:52, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1794, decode.acc_seg: 93.2245, loss: 0.1794 2023-01-06 02:15:48,126 - mmseg - INFO - Iter [30900/160000] lr: 4.841e-05, eta: 12:14:43, time: 0.381, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1861, decode.acc_seg: 93.0610, loss: 0.1861 2023-01-06 02:16:05,277 - mmseg - INFO - Iter [30950/160000] lr: 4.839e-05, eta: 12:14:26, time: 0.343, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1808, decode.acc_seg: 93.3499, loss: 0.1808 2023-01-06 02:16:21,771 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 02:16:21,772 - mmseg - INFO - Iter [31000/160000] lr: 4.838e-05, eta: 12:14:07, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1621, decode.acc_seg: 93.5903, loss: 0.1621 2023-01-06 02:16:38,214 - mmseg - INFO - Iter [31050/160000] lr: 4.836e-05, eta: 12:13:47, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1662, decode.acc_seg: 93.6779, loss: 0.1662 2023-01-06 02:16:54,760 - mmseg - INFO - Iter [31100/160000] lr: 4.834e-05, eta: 12:13:28, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1682, decode.acc_seg: 93.6132, loss: 0.1682 2023-01-06 02:17:10,939 - mmseg - INFO - Iter [31150/160000] lr: 4.832e-05, eta: 12:13:07, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1737, decode.acc_seg: 93.3647, loss: 0.1737 2023-01-06 02:17:27,363 - mmseg - INFO - Iter [31200/160000] lr: 4.830e-05, eta: 12:12:47, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1906, decode.acc_seg: 92.7958, loss: 0.1906 2023-01-06 02:17:46,385 - mmseg - INFO - Iter [31250/160000] lr: 4.828e-05, eta: 12:12:38, time: 0.381, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1709, decode.acc_seg: 93.5241, loss: 0.1709 2023-01-06 02:18:03,375 - mmseg - INFO - Iter [31300/160000] lr: 4.826e-05, eta: 12:12:21, time: 0.340, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1645, decode.acc_seg: 93.7339, loss: 0.1645 2023-01-06 02:18:19,831 - mmseg - INFO - Iter [31350/160000] lr: 4.824e-05, eta: 12:12:01, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1639, decode.acc_seg: 93.6616, loss: 0.1639 2023-01-06 02:18:36,245 - mmseg - INFO - Iter [31400/160000] lr: 4.823e-05, eta: 12:11:41, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1758, decode.acc_seg: 93.1817, loss: 0.1758 2023-01-06 02:18:53,325 - mmseg - INFO - Iter [31450/160000] lr: 4.821e-05, eta: 12:11:24, time: 0.342, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1574, decode.acc_seg: 93.9182, loss: 0.1574 2023-01-06 02:19:10,018 - mmseg - INFO - Iter [31500/160000] lr: 4.819e-05, eta: 12:11:06, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1857, decode.acc_seg: 92.8155, loss: 0.1857 2023-01-06 02:19:26,835 - mmseg - INFO - Iter [31550/160000] lr: 4.817e-05, eta: 12:10:48, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1745, decode.acc_seg: 93.2821, loss: 0.1745 2023-01-06 02:19:43,400 - mmseg - INFO - Iter [31600/160000] lr: 4.815e-05, eta: 12:10:28, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1712, decode.acc_seg: 93.4527, loss: 0.1712 2023-01-06 02:20:02,488 - mmseg - INFO - Iter [31650/160000] lr: 4.813e-05, eta: 12:10:20, time: 0.382, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1711, decode.acc_seg: 93.4192, loss: 0.1711 2023-01-06 02:20:19,207 - mmseg - INFO - Iter [31700/160000] lr: 4.811e-05, eta: 12:10:01, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1786, decode.acc_seg: 93.0718, loss: 0.1786 2023-01-06 02:20:35,943 - mmseg - INFO - Iter [31750/160000] lr: 4.809e-05, eta: 12:09:43, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1719, decode.acc_seg: 93.4377, loss: 0.1719 2023-01-06 02:20:52,428 - mmseg - INFO - Iter [31800/160000] lr: 4.808e-05, eta: 12:09:23, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1626, decode.acc_seg: 93.7102, loss: 0.1626 2023-01-06 02:21:09,023 - mmseg - INFO - Iter [31850/160000] lr: 4.806e-05, eta: 12:09:04, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1638, decode.acc_seg: 93.8965, loss: 0.1638 2023-01-06 02:21:25,591 - mmseg - INFO - Iter [31900/160000] lr: 4.804e-05, eta: 12:08:45, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1638, decode.acc_seg: 93.6745, loss: 0.1638 2023-01-06 02:21:42,247 - mmseg - INFO - Iter [31950/160000] lr: 4.802e-05, eta: 12:08:27, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1851, decode.acc_seg: 92.7574, loss: 0.1851 2023-01-06 02:22:01,645 - mmseg - INFO - Saving checkpoint at 32000 iterations 2023-01-06 02:22:04,703 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 02:22:04,703 - mmseg - INFO - Iter [32000/160000] lr: 4.800e-05, eta: 12:08:31, time: 0.449, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1850, decode.acc_seg: 92.9389, loss: 0.1850 2023-01-06 02:22:29,937 - mmseg - INFO - per class results: 2023-01-06 02:22:29,940 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 96.79 | 98.86 | | sidewalk | 75.18 | 83.82 | | building | 88.79 | 94.67 | | wall | 30.17 | 34.18 | | fence | 38.76 | 63.03 | | pole | 50.4 | 58.68 | | traffic light | 53.43 | 63.47 | | traffic sign | 62.31 | 68.7 | | vegetation | 89.53 | 96.01 | | terrain | 49.91 | 59.99 | | sky | 93.83 | 96.81 | | person | 69.11 | 82.85 | | rider | 37.76 | 46.57 | | car | 90.49 | 95.34 | | truck | 38.64 | 48.59 | | bus | 49.01 | 57.84 | | train | 34.11 | 53.79 | | motorcycle | 20.56 | 21.58 | | bicycle | 62.72 | 83.14 | +---------------+-------+-------+ 2023-01-06 02:22:29,940 - mmseg - INFO - Summary: 2023-01-06 02:22:29,940 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 93.53 | 59.55 | 68.84 | +-------+-------+-------+ 2023-01-06 02:22:29,941 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 02:22:29,941 - mmseg - INFO - Iter(val) [63] aAcc: 0.9353, mIoU: 0.5955, mAcc: 0.6884, IoU.road: 0.9679, IoU.sidewalk: 0.7518, IoU.building: 0.8879, IoU.wall: 0.3017, IoU.fence: 0.3876, IoU.pole: 0.5040, IoU.traffic light: 0.5343, IoU.traffic sign: 0.6231, IoU.vegetation: 0.8953, IoU.terrain: 0.4991, IoU.sky: 0.9383, IoU.person: 0.6911, IoU.rider: 0.3776, IoU.car: 0.9049, IoU.truck: 0.3864, IoU.bus: 0.4901, IoU.train: 0.3411, IoU.motorcycle: 0.2056, IoU.bicycle: 0.6272, Acc.road: 0.9886, Acc.sidewalk: 0.8382, Acc.building: 0.9467, Acc.wall: 0.3418, Acc.fence: 0.6303, Acc.pole: 0.5868, Acc.traffic light: 0.6347, Acc.traffic sign: 0.6870, Acc.vegetation: 0.9601, Acc.terrain: 0.5999, Acc.sky: 0.9681, Acc.person: 0.8285, Acc.rider: 0.4657, Acc.car: 0.9534, Acc.truck: 0.4859, Acc.bus: 0.5784, Acc.train: 0.5379, Acc.motorcycle: 0.2158, Acc.bicycle: 0.8314 2023-01-06 02:22:46,481 - mmseg - INFO - Iter [32050/160000] lr: 4.798e-05, eta: 12:09:53, time: 0.835, data_time: 0.515, memory: 8466, decode.loss_ce: 0.1653, decode.acc_seg: 93.3887, loss: 0.1653 2023-01-06 02:23:02,826 - mmseg - INFO - Iter [32100/160000] lr: 4.796e-05, eta: 12:09:32, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1605, decode.acc_seg: 93.5335, loss: 0.1605 2023-01-06 02:23:19,086 - mmseg - INFO - Iter [32150/160000] lr: 4.794e-05, eta: 12:09:12, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1817, decode.acc_seg: 93.0568, loss: 0.1817 2023-01-06 02:23:35,284 - mmseg - INFO - Iter [32200/160000] lr: 4.793e-05, eta: 12:08:51, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1997, decode.acc_seg: 92.7624, loss: 0.1997 2023-01-06 02:23:51,456 - mmseg - INFO - Iter [32250/160000] lr: 4.791e-05, eta: 12:08:30, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1824, decode.acc_seg: 93.2408, loss: 0.1824 2023-01-06 02:24:08,054 - mmseg - INFO - Iter [32300/160000] lr: 4.789e-05, eta: 12:08:11, time: 0.332, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1888, decode.acc_seg: 92.8560, loss: 0.1888 2023-01-06 02:24:24,572 - mmseg - INFO - Iter [32350/160000] lr: 4.787e-05, eta: 12:07:52, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1680, decode.acc_seg: 93.7076, loss: 0.1680 2023-01-06 02:24:43,241 - mmseg - INFO - Iter [32400/160000] lr: 4.785e-05, eta: 12:07:41, time: 0.373, data_time: 0.054, memory: 8466, decode.loss_ce: 0.1961, decode.acc_seg: 92.8466, loss: 0.1961 2023-01-06 02:25:00,192 - mmseg - INFO - Iter [32450/160000] lr: 4.783e-05, eta: 12:07:23, time: 0.339, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1833, decode.acc_seg: 93.0211, loss: 0.1833 2023-01-06 02:25:16,570 - mmseg - INFO - Iter [32500/160000] lr: 4.781e-05, eta: 12:07:03, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1796, decode.acc_seg: 93.2405, loss: 0.1796 2023-01-06 02:25:33,384 - mmseg - INFO - Iter [32550/160000] lr: 4.779e-05, eta: 12:06:45, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1657, decode.acc_seg: 93.5658, loss: 0.1657 2023-01-06 02:25:50,144 - mmseg - INFO - Iter [32600/160000] lr: 4.778e-05, eta: 12:06:26, time: 0.336, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1601, decode.acc_seg: 93.9371, loss: 0.1601 2023-01-06 02:26:07,043 - mmseg - INFO - Iter [32650/160000] lr: 4.776e-05, eta: 12:06:08, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1645, decode.acc_seg: 93.5528, loss: 0.1645 2023-01-06 02:26:23,286 - mmseg - INFO - Iter [32700/160000] lr: 4.774e-05, eta: 12:05:48, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1667, decode.acc_seg: 93.3342, loss: 0.1667 2023-01-06 02:26:42,274 - mmseg - INFO - Iter [32750/160000] lr: 4.772e-05, eta: 12:05:38, time: 0.380, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1735, decode.acc_seg: 93.2554, loss: 0.1735 2023-01-06 02:26:59,211 - mmseg - INFO - Iter [32800/160000] lr: 4.770e-05, eta: 12:05:20, time: 0.339, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1551, decode.acc_seg: 93.8336, loss: 0.1551 2023-01-06 02:27:15,569 - mmseg - INFO - Iter [32850/160000] lr: 4.768e-05, eta: 12:05:00, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1602, decode.acc_seg: 93.8024, loss: 0.1602 2023-01-06 02:27:32,108 - mmseg - INFO - Iter [32900/160000] lr: 4.766e-05, eta: 12:04:41, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1659, decode.acc_seg: 93.6632, loss: 0.1659 2023-01-06 02:27:48,586 - mmseg - INFO - Iter [32950/160000] lr: 4.764e-05, eta: 12:04:22, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1643, decode.acc_seg: 93.6331, loss: 0.1643 2023-01-06 02:28:05,134 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 02:28:05,135 - mmseg - INFO - Iter [33000/160000] lr: 4.763e-05, eta: 12:04:02, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1581, decode.acc_seg: 93.9703, loss: 0.1581 2023-01-06 02:28:21,677 - mmseg - INFO - Iter [33050/160000] lr: 4.761e-05, eta: 12:03:43, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1972, decode.acc_seg: 92.6236, loss: 0.1972 2023-01-06 02:28:37,994 - mmseg - INFO - Iter [33100/160000] lr: 4.759e-05, eta: 12:03:23, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1718, decode.acc_seg: 93.4254, loss: 0.1718 2023-01-06 02:28:56,804 - mmseg - INFO - Iter [33150/160000] lr: 4.757e-05, eta: 12:03:12, time: 0.376, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1813, decode.acc_seg: 93.2297, loss: 0.1813 2023-01-06 02:29:13,303 - mmseg - INFO - Iter [33200/160000] lr: 4.755e-05, eta: 12:02:53, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1704, decode.acc_seg: 93.5369, loss: 0.1704 2023-01-06 02:29:29,489 - mmseg - INFO - Iter [33250/160000] lr: 4.753e-05, eta: 12:02:32, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1703, decode.acc_seg: 93.5486, loss: 0.1703 2023-01-06 02:29:46,109 - mmseg - INFO - Iter [33300/160000] lr: 4.751e-05, eta: 12:02:13, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1810, decode.acc_seg: 93.0972, loss: 0.1810 2023-01-06 02:30:02,555 - mmseg - INFO - Iter [33350/160000] lr: 4.749e-05, eta: 12:01:54, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1770, decode.acc_seg: 93.2598, loss: 0.1770 2023-01-06 02:30:19,184 - mmseg - INFO - Iter [33400/160000] lr: 4.748e-05, eta: 12:01:35, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1765, decode.acc_seg: 93.1765, loss: 0.1765 2023-01-06 02:30:35,589 - mmseg - INFO - Iter [33450/160000] lr: 4.746e-05, eta: 12:01:15, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1592, decode.acc_seg: 93.7262, loss: 0.1592 2023-01-06 02:30:54,079 - mmseg - INFO - Iter [33500/160000] lr: 4.744e-05, eta: 12:01:03, time: 0.370, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1674, decode.acc_seg: 93.6491, loss: 0.1674 2023-01-06 02:31:10,359 - mmseg - INFO - Iter [33550/160000] lr: 4.742e-05, eta: 12:00:43, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1679, decode.acc_seg: 93.4492, loss: 0.1679 2023-01-06 02:31:27,194 - mmseg - INFO - Iter [33600/160000] lr: 4.740e-05, eta: 12:00:25, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1762, decode.acc_seg: 93.4232, loss: 0.1762 2023-01-06 02:31:43,705 - mmseg - INFO - Iter [33650/160000] lr: 4.738e-05, eta: 12:00:06, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1796, decode.acc_seg: 92.9470, loss: 0.1796 2023-01-06 02:32:00,944 - mmseg - INFO - Iter [33700/160000] lr: 4.736e-05, eta: 11:59:49, time: 0.345, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1633, decode.acc_seg: 93.7446, loss: 0.1633 2023-01-06 02:32:17,456 - mmseg - INFO - Iter [33750/160000] lr: 4.734e-05, eta: 11:59:30, time: 0.331, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1647, decode.acc_seg: 93.6609, loss: 0.1647 2023-01-06 02:32:33,655 - mmseg - INFO - Iter [33800/160000] lr: 4.733e-05, eta: 11:59:09, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1725, decode.acc_seg: 93.3773, loss: 0.1725 2023-01-06 02:32:50,057 - mmseg - INFO - Iter [33850/160000] lr: 4.731e-05, eta: 11:58:50, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1619, decode.acc_seg: 93.7115, loss: 0.1619 2023-01-06 02:33:08,781 - mmseg - INFO - Iter [33900/160000] lr: 4.729e-05, eta: 11:58:39, time: 0.374, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1866, decode.acc_seg: 93.1889, loss: 0.1866 2023-01-06 02:33:25,187 - mmseg - INFO - Iter [33950/160000] lr: 4.727e-05, eta: 11:58:19, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1841, decode.acc_seg: 92.7786, loss: 0.1841 2023-01-06 02:33:41,606 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 02:33:41,607 - mmseg - INFO - Iter [34000/160000] lr: 4.725e-05, eta: 11:57:59, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1707, decode.acc_seg: 93.5209, loss: 0.1707 2023-01-06 02:33:58,386 - mmseg - INFO - Iter [34050/160000] lr: 4.723e-05, eta: 11:57:41, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1594, decode.acc_seg: 93.7743, loss: 0.1594 2023-01-06 02:34:15,028 - mmseg - INFO - Iter [34100/160000] lr: 4.721e-05, eta: 11:57:22, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1594, decode.acc_seg: 93.8628, loss: 0.1594 2023-01-06 02:34:31,723 - mmseg - INFO - Iter [34150/160000] lr: 4.719e-05, eta: 11:57:04, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1863, decode.acc_seg: 92.9577, loss: 0.1863 2023-01-06 02:34:47,833 - mmseg - INFO - Iter [34200/160000] lr: 4.718e-05, eta: 11:56:43, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1688, decode.acc_seg: 93.5520, loss: 0.1688 2023-01-06 02:35:06,897 - mmseg - INFO - Iter [34250/160000] lr: 4.716e-05, eta: 11:56:33, time: 0.381, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1595, decode.acc_seg: 93.7955, loss: 0.1595 2023-01-06 02:35:23,191 - mmseg - INFO - Iter [34300/160000] lr: 4.714e-05, eta: 11:56:13, time: 0.326, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1843, decode.acc_seg: 93.2429, loss: 0.1843 2023-01-06 02:35:40,075 - mmseg - INFO - Iter [34350/160000] lr: 4.712e-05, eta: 11:55:55, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1868, decode.acc_seg: 93.1685, loss: 0.1868 2023-01-06 02:35:56,660 - mmseg - INFO - Iter [34400/160000] lr: 4.710e-05, eta: 11:55:36, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1799, decode.acc_seg: 93.1837, loss: 0.1799 2023-01-06 02:36:12,948 - mmseg - INFO - Iter [34450/160000] lr: 4.708e-05, eta: 11:55:16, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1754, decode.acc_seg: 93.2539, loss: 0.1754 2023-01-06 02:36:29,567 - mmseg - INFO - Iter [34500/160000] lr: 4.706e-05, eta: 11:54:58, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1770, decode.acc_seg: 93.2151, loss: 0.1770 2023-01-06 02:36:45,900 - mmseg - INFO - Iter [34550/160000] lr: 4.704e-05, eta: 11:54:38, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1618, decode.acc_seg: 93.9601, loss: 0.1618 2023-01-06 02:37:05,029 - mmseg - INFO - Iter [34600/160000] lr: 4.703e-05, eta: 11:54:28, time: 0.383, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1745, decode.acc_seg: 93.2696, loss: 0.1745 2023-01-06 02:37:21,650 - mmseg - INFO - Iter [34650/160000] lr: 4.701e-05, eta: 11:54:09, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1670, decode.acc_seg: 93.4719, loss: 0.1670 2023-01-06 02:37:38,107 - mmseg - INFO - Iter [34700/160000] lr: 4.699e-05, eta: 11:53:50, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1717, decode.acc_seg: 93.5201, loss: 0.1717 2023-01-06 02:37:55,078 - mmseg - INFO - Iter [34750/160000] lr: 4.697e-05, eta: 11:53:32, time: 0.339, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1676, decode.acc_seg: 93.5369, loss: 0.1676 2023-01-06 02:38:11,583 - mmseg - INFO - Iter [34800/160000] lr: 4.695e-05, eta: 11:53:13, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1618, decode.acc_seg: 93.6174, loss: 0.1618 2023-01-06 02:38:28,373 - mmseg - INFO - Iter [34850/160000] lr: 4.693e-05, eta: 11:52:55, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1707, decode.acc_seg: 93.4785, loss: 0.1707 2023-01-06 02:38:44,559 - mmseg - INFO - Iter [34900/160000] lr: 4.691e-05, eta: 11:52:35, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1657, decode.acc_seg: 93.3629, loss: 0.1657 2023-01-06 02:39:00,975 - mmseg - INFO - Iter [34950/160000] lr: 4.689e-05, eta: 11:52:15, time: 0.329, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1703, decode.acc_seg: 93.5327, loss: 0.1703 2023-01-06 02:39:19,573 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 02:39:19,574 - mmseg - INFO - Iter [35000/160000] lr: 4.688e-05, eta: 11:52:03, time: 0.372, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1572, decode.acc_seg: 93.8312, loss: 0.1572 2023-01-06 02:39:36,387 - mmseg - INFO - Iter [35050/160000] lr: 4.686e-05, eta: 11:51:45, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1556, decode.acc_seg: 93.9902, loss: 0.1556 2023-01-06 02:39:53,450 - mmseg - INFO - Iter [35100/160000] lr: 4.684e-05, eta: 11:51:28, time: 0.341, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1757, decode.acc_seg: 93.4106, loss: 0.1757 2023-01-06 02:40:10,170 - mmseg - INFO - Iter [35150/160000] lr: 4.682e-05, eta: 11:51:10, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1833, decode.acc_seg: 93.2019, loss: 0.1833 2023-01-06 02:40:26,348 - mmseg - INFO - Iter [35200/160000] lr: 4.680e-05, eta: 11:50:50, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1742, decode.acc_seg: 93.2455, loss: 0.1742 2023-01-06 02:40:42,891 - mmseg - INFO - Iter [35250/160000] lr: 4.678e-05, eta: 11:50:30, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1852, decode.acc_seg: 93.0084, loss: 0.1852 2023-01-06 02:40:59,336 - mmseg - INFO - Iter [35300/160000] lr: 4.676e-05, eta: 11:50:11, time: 0.329, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1631, decode.acc_seg: 93.6439, loss: 0.1631 2023-01-06 02:41:18,014 - mmseg - INFO - Iter [35350/160000] lr: 4.674e-05, eta: 11:50:00, time: 0.374, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1724, decode.acc_seg: 93.3333, loss: 0.1724 2023-01-06 02:41:34,769 - mmseg - INFO - Iter [35400/160000] lr: 4.673e-05, eta: 11:49:41, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1561, decode.acc_seg: 93.7584, loss: 0.1561 2023-01-06 02:41:51,497 - mmseg - INFO - Iter [35450/160000] lr: 4.671e-05, eta: 11:49:23, time: 0.335, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1637, decode.acc_seg: 93.4783, loss: 0.1637 2023-01-06 02:42:08,330 - mmseg - INFO - Iter [35500/160000] lr: 4.669e-05, eta: 11:49:05, time: 0.337, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1676, decode.acc_seg: 93.6642, loss: 0.1676 2023-01-06 02:42:24,938 - mmseg - INFO - Iter [35550/160000] lr: 4.667e-05, eta: 11:48:46, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1850, decode.acc_seg: 92.9118, loss: 0.1850 2023-01-06 02:42:41,728 - mmseg - INFO - Iter [35600/160000] lr: 4.665e-05, eta: 11:48:28, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1668, decode.acc_seg: 93.5969, loss: 0.1668 2023-01-06 02:42:57,833 - mmseg - INFO - Iter [35650/160000] lr: 4.663e-05, eta: 11:48:08, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1691, decode.acc_seg: 93.5352, loss: 0.1691 2023-01-06 02:43:14,158 - mmseg - INFO - Iter [35700/160000] lr: 4.661e-05, eta: 11:47:48, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1582, decode.acc_seg: 94.1082, loss: 0.1582 2023-01-06 02:43:32,658 - mmseg - INFO - Iter [35750/160000] lr: 4.659e-05, eta: 11:47:36, time: 0.370, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1698, decode.acc_seg: 93.2786, loss: 0.1698 2023-01-06 02:43:49,061 - mmseg - INFO - Iter [35800/160000] lr: 4.658e-05, eta: 11:47:16, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1626, decode.acc_seg: 93.7268, loss: 0.1626 2023-01-06 02:44:05,676 - mmseg - INFO - Iter [35850/160000] lr: 4.656e-05, eta: 11:46:58, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1516, decode.acc_seg: 94.0442, loss: 0.1516 2023-01-06 02:44:21,920 - mmseg - INFO - Iter [35900/160000] lr: 4.654e-05, eta: 11:46:38, time: 0.325, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1709, decode.acc_seg: 93.5034, loss: 0.1709 2023-01-06 02:44:38,380 - mmseg - INFO - Iter [35950/160000] lr: 4.652e-05, eta: 11:46:18, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1752, decode.acc_seg: 93.3761, loss: 0.1752 2023-01-06 02:44:54,965 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 02:44:54,966 - mmseg - INFO - Iter [36000/160000] lr: 4.650e-05, eta: 11:46:00, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1700, decode.acc_seg: 93.5101, loss: 0.1700 2023-01-06 02:45:11,578 - mmseg - INFO - Iter [36050/160000] lr: 4.648e-05, eta: 11:45:41, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1581, decode.acc_seg: 93.9909, loss: 0.1581 2023-01-06 02:45:30,629 - mmseg - INFO - Iter [36100/160000] lr: 4.646e-05, eta: 11:45:31, time: 0.381, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1906, decode.acc_seg: 92.8559, loss: 0.1906 2023-01-06 02:45:47,197 - mmseg - INFO - Iter [36150/160000] lr: 4.644e-05, eta: 11:45:12, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1646, decode.acc_seg: 93.7079, loss: 0.1646 2023-01-06 02:46:03,979 - mmseg - INFO - Iter [36200/160000] lr: 4.643e-05, eta: 11:44:54, time: 0.336, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1813, decode.acc_seg: 93.1415, loss: 0.1813 2023-01-06 02:46:20,366 - mmseg - INFO - Iter [36250/160000] lr: 4.641e-05, eta: 11:44:34, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1733, decode.acc_seg: 93.5009, loss: 0.1733 2023-01-06 02:46:37,086 - mmseg - INFO - Iter [36300/160000] lr: 4.639e-05, eta: 11:44:16, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1563, decode.acc_seg: 94.0302, loss: 0.1563 2023-01-06 02:46:53,884 - mmseg - INFO - Iter [36350/160000] lr: 4.637e-05, eta: 11:43:58, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1764, decode.acc_seg: 93.4034, loss: 0.1764 2023-01-06 02:47:10,492 - mmseg - INFO - Iter [36400/160000] lr: 4.635e-05, eta: 11:43:39, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1569, decode.acc_seg: 93.8474, loss: 0.1569 2023-01-06 02:47:26,868 - mmseg - INFO - Iter [36450/160000] lr: 4.633e-05, eta: 11:43:20, time: 0.328, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1542, decode.acc_seg: 94.0784, loss: 0.1542 2023-01-06 02:47:45,761 - mmseg - INFO - Iter [36500/160000] lr: 4.631e-05, eta: 11:43:09, time: 0.378, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1583, decode.acc_seg: 93.9987, loss: 0.1583 2023-01-06 02:48:02,245 - mmseg - INFO - Iter [36550/160000] lr: 4.629e-05, eta: 11:42:50, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1774, decode.acc_seg: 93.1822, loss: 0.1774 2023-01-06 02:48:19,140 - mmseg - INFO - Iter [36600/160000] lr: 4.628e-05, eta: 11:42:32, time: 0.338, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1650, decode.acc_seg: 93.4499, loss: 0.1650 2023-01-06 02:48:35,484 - mmseg - INFO - Iter [36650/160000] lr: 4.626e-05, eta: 11:42:12, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1638, decode.acc_seg: 93.7255, loss: 0.1638 2023-01-06 02:48:51,954 - mmseg - INFO - Iter [36700/160000] lr: 4.624e-05, eta: 11:41:53, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1570, decode.acc_seg: 93.8029, loss: 0.1570 2023-01-06 02:49:08,185 - mmseg - INFO - Iter [36750/160000] lr: 4.622e-05, eta: 11:41:33, time: 0.325, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1572, decode.acc_seg: 93.9005, loss: 0.1572 2023-01-06 02:49:24,750 - mmseg - INFO - Iter [36800/160000] lr: 4.620e-05, eta: 11:41:15, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1808, decode.acc_seg: 93.2015, loss: 0.1808 2023-01-06 02:49:43,676 - mmseg - INFO - Iter [36850/160000] lr: 4.618e-05, eta: 11:41:04, time: 0.379, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1545, decode.acc_seg: 93.9465, loss: 0.1545 2023-01-06 02:50:00,577 - mmseg - INFO - Iter [36900/160000] lr: 4.616e-05, eta: 11:40:46, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1547, decode.acc_seg: 93.8752, loss: 0.1547 2023-01-06 02:50:17,150 - mmseg - INFO - Iter [36950/160000] lr: 4.614e-05, eta: 11:40:27, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1565, decode.acc_seg: 93.8641, loss: 0.1565 2023-01-06 02:50:33,649 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 02:50:33,650 - mmseg - INFO - Iter [37000/160000] lr: 4.613e-05, eta: 11:40:08, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1721, decode.acc_seg: 93.3034, loss: 0.1721 2023-01-06 02:50:49,917 - mmseg - INFO - Iter [37050/160000] lr: 4.611e-05, eta: 11:39:48, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.2002, decode.acc_seg: 92.6345, loss: 0.2002 2023-01-06 02:51:06,246 - mmseg - INFO - Iter [37100/160000] lr: 4.609e-05, eta: 11:39:29, time: 0.327, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1822, decode.acc_seg: 93.1357, loss: 0.1822 2023-01-06 02:51:22,426 - mmseg - INFO - Iter [37150/160000] lr: 4.607e-05, eta: 11:39:09, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1619, decode.acc_seg: 93.8452, loss: 0.1619 2023-01-06 02:51:39,065 - mmseg - INFO - Iter [37200/160000] lr: 4.605e-05, eta: 11:38:50, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1665, decode.acc_seg: 93.6654, loss: 0.1665 2023-01-06 02:51:58,348 - mmseg - INFO - Iter [37250/160000] lr: 4.603e-05, eta: 11:38:41, time: 0.386, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1723, decode.acc_seg: 93.3764, loss: 0.1723 2023-01-06 02:52:14,592 - mmseg - INFO - Iter [37300/160000] lr: 4.601e-05, eta: 11:38:21, time: 0.325, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1509, decode.acc_seg: 94.0477, loss: 0.1509 2023-01-06 02:52:30,935 - mmseg - INFO - Iter [37350/160000] lr: 4.599e-05, eta: 11:38:01, time: 0.327, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1623, decode.acc_seg: 93.6935, loss: 0.1623 2023-01-06 02:52:47,155 - mmseg - INFO - Iter [37400/160000] lr: 4.598e-05, eta: 11:37:41, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1591, decode.acc_seg: 93.8828, loss: 0.1591 2023-01-06 02:53:04,130 - mmseg - INFO - Iter [37450/160000] lr: 4.596e-05, eta: 11:37:24, time: 0.339, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1784, decode.acc_seg: 93.2901, loss: 0.1784 2023-01-06 02:53:20,673 - mmseg - INFO - Iter [37500/160000] lr: 4.594e-05, eta: 11:37:05, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1571, decode.acc_seg: 93.9689, loss: 0.1571 2023-01-06 02:53:37,150 - mmseg - INFO - Iter [37550/160000] lr: 4.592e-05, eta: 11:36:46, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1611, decode.acc_seg: 93.8300, loss: 0.1611 2023-01-06 02:53:56,027 - mmseg - INFO - Iter [37600/160000] lr: 4.590e-05, eta: 11:36:35, time: 0.378, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1602, decode.acc_seg: 93.7835, loss: 0.1602 2023-01-06 02:54:12,669 - mmseg - INFO - Iter [37650/160000] lr: 4.588e-05, eta: 11:36:16, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1588, decode.acc_seg: 93.8017, loss: 0.1588 2023-01-06 02:54:29,317 - mmseg - INFO - Iter [37700/160000] lr: 4.586e-05, eta: 11:35:58, time: 0.333, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1621, decode.acc_seg: 93.6608, loss: 0.1621 2023-01-06 02:54:45,619 - mmseg - INFO - Iter [37750/160000] lr: 4.584e-05, eta: 11:35:39, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1534, decode.acc_seg: 93.9679, loss: 0.1534 2023-01-06 02:55:02,407 - mmseg - INFO - Iter [37800/160000] lr: 4.583e-05, eta: 11:35:20, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1546, decode.acc_seg: 94.0896, loss: 0.1546 2023-01-06 02:55:19,275 - mmseg - INFO - Iter [37850/160000] lr: 4.581e-05, eta: 11:35:03, time: 0.337, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1818, decode.acc_seg: 93.2008, loss: 0.1818 2023-01-06 02:55:35,727 - mmseg - INFO - Iter [37900/160000] lr: 4.579e-05, eta: 11:34:44, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1631, decode.acc_seg: 93.7725, loss: 0.1631 2023-01-06 02:55:54,593 - mmseg - INFO - Iter [37950/160000] lr: 4.577e-05, eta: 11:34:32, time: 0.377, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1773, decode.acc_seg: 93.3959, loss: 0.1773 2023-01-06 02:56:11,000 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 02:56:11,001 - mmseg - INFO - Iter [38000/160000] lr: 4.575e-05, eta: 11:34:13, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1777, decode.acc_seg: 93.4478, loss: 0.1777 2023-01-06 02:56:28,176 - mmseg - INFO - Iter [38050/160000] lr: 4.573e-05, eta: 11:33:56, time: 0.343, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1703, decode.acc_seg: 93.5627, loss: 0.1703 2023-01-06 02:56:44,854 - mmseg - INFO - Iter [38100/160000] lr: 4.571e-05, eta: 11:33:38, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1633, decode.acc_seg: 93.6742, loss: 0.1633 2023-01-06 02:57:01,743 - mmseg - INFO - Iter [38150/160000] lr: 4.569e-05, eta: 11:33:20, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1598, decode.acc_seg: 93.6690, loss: 0.1598 2023-01-06 02:57:18,296 - mmseg - INFO - Iter [38200/160000] lr: 4.568e-05, eta: 11:33:02, time: 0.331, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1583, decode.acc_seg: 93.8701, loss: 0.1583 2023-01-06 02:57:34,837 - mmseg - INFO - Iter [38250/160000] lr: 4.566e-05, eta: 11:32:43, time: 0.331, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1631, decode.acc_seg: 93.8250, loss: 0.1631 2023-01-06 02:57:51,594 - mmseg - INFO - Iter [38300/160000] lr: 4.564e-05, eta: 11:32:25, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1619, decode.acc_seg: 93.6180, loss: 0.1619 2023-01-06 02:58:10,312 - mmseg - INFO - Iter [38350/160000] lr: 4.562e-05, eta: 11:32:13, time: 0.374, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1602, decode.acc_seg: 93.9016, loss: 0.1602 2023-01-06 02:58:26,736 - mmseg - INFO - Iter [38400/160000] lr: 4.560e-05, eta: 11:31:54, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1570, decode.acc_seg: 94.0605, loss: 0.1570 2023-01-06 02:58:43,530 - mmseg - INFO - Iter [38450/160000] lr: 4.558e-05, eta: 11:31:36, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1614, decode.acc_seg: 93.8861, loss: 0.1614 2023-01-06 02:59:00,166 - mmseg - INFO - Iter [38500/160000] lr: 4.556e-05, eta: 11:31:18, time: 0.333, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1844, decode.acc_seg: 93.1818, loss: 0.1844 2023-01-06 02:59:16,841 - mmseg - INFO - Iter [38550/160000] lr: 4.554e-05, eta: 11:30:59, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1752, decode.acc_seg: 93.0785, loss: 0.1752 2023-01-06 02:59:33,352 - mmseg - INFO - Iter [38600/160000] lr: 4.553e-05, eta: 11:30:40, time: 0.331, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1593, decode.acc_seg: 93.8190, loss: 0.1593 2023-01-06 02:59:49,906 - mmseg - INFO - Iter [38650/160000] lr: 4.551e-05, eta: 11:30:22, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1601, decode.acc_seg: 93.7551, loss: 0.1601 2023-01-06 03:00:08,993 - mmseg - INFO - Iter [38700/160000] lr: 4.549e-05, eta: 11:30:11, time: 0.381, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1516, decode.acc_seg: 93.8924, loss: 0.1516 2023-01-06 03:00:25,603 - mmseg - INFO - Iter [38750/160000] lr: 4.547e-05, eta: 11:29:53, time: 0.333, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1722, decode.acc_seg: 93.2808, loss: 0.1722 2023-01-06 03:00:42,253 - mmseg - INFO - Iter [38800/160000] lr: 4.545e-05, eta: 11:29:34, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1481, decode.acc_seg: 94.2097, loss: 0.1481 2023-01-06 03:00:58,559 - mmseg - INFO - Iter [38850/160000] lr: 4.543e-05, eta: 11:29:15, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1639, decode.acc_seg: 93.6146, loss: 0.1639 2023-01-06 03:01:15,020 - mmseg - INFO - Iter [38900/160000] lr: 4.541e-05, eta: 11:28:56, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1664, decode.acc_seg: 93.5911, loss: 0.1664 2023-01-06 03:01:31,356 - mmseg - INFO - Iter [38950/160000] lr: 4.539e-05, eta: 11:28:36, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1540, decode.acc_seg: 94.0296, loss: 0.1540 2023-01-06 03:01:48,043 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 03:01:48,044 - mmseg - INFO - Iter [39000/160000] lr: 4.538e-05, eta: 11:28:18, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1572, decode.acc_seg: 93.7739, loss: 0.1572 2023-01-06 03:02:04,994 - mmseg - INFO - Iter [39050/160000] lr: 4.536e-05, eta: 11:28:01, time: 0.339, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1628, decode.acc_seg: 93.7571, loss: 0.1628 2023-01-06 03:02:24,201 - mmseg - INFO - Iter [39100/160000] lr: 4.534e-05, eta: 11:27:50, time: 0.385, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1527, decode.acc_seg: 94.1576, loss: 0.1527 2023-01-06 03:02:40,805 - mmseg - INFO - Iter [39150/160000] lr: 4.532e-05, eta: 11:27:32, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1585, decode.acc_seg: 94.0698, loss: 0.1585 2023-01-06 03:02:57,060 - mmseg - INFO - Iter [39200/160000] lr: 4.530e-05, eta: 11:27:12, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1567, decode.acc_seg: 93.7393, loss: 0.1567 2023-01-06 03:03:13,379 - mmseg - INFO - Iter [39250/160000] lr: 4.528e-05, eta: 11:26:53, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1590, decode.acc_seg: 93.7731, loss: 0.1590 2023-01-06 03:03:30,000 - mmseg - INFO - Iter [39300/160000] lr: 4.526e-05, eta: 11:26:34, time: 0.333, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1575, decode.acc_seg: 93.7485, loss: 0.1575 2023-01-06 03:03:46,594 - mmseg - INFO - Iter [39350/160000] lr: 4.524e-05, eta: 11:26:16, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1602, decode.acc_seg: 93.9982, loss: 0.1602 2023-01-06 03:04:02,783 - mmseg - INFO - Iter [39400/160000] lr: 4.523e-05, eta: 11:25:56, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1682, decode.acc_seg: 93.5538, loss: 0.1682 2023-01-06 03:04:21,474 - mmseg - INFO - Iter [39450/160000] lr: 4.521e-05, eta: 11:25:44, time: 0.373, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1703, decode.acc_seg: 93.5585, loss: 0.1703 2023-01-06 03:04:38,338 - mmseg - INFO - Iter [39500/160000] lr: 4.519e-05, eta: 11:25:26, time: 0.338, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1527, decode.acc_seg: 94.0869, loss: 0.1527 2023-01-06 03:04:54,934 - mmseg - INFO - Iter [39550/160000] lr: 4.517e-05, eta: 11:25:08, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1673, decode.acc_seg: 93.3596, loss: 0.1673 2023-01-06 03:05:11,189 - mmseg - INFO - Iter [39600/160000] lr: 4.515e-05, eta: 11:24:48, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1610, decode.acc_seg: 93.9028, loss: 0.1610 2023-01-06 03:05:27,557 - mmseg - INFO - Iter [39650/160000] lr: 4.513e-05, eta: 11:24:29, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1610, decode.acc_seg: 93.4439, loss: 0.1610 2023-01-06 03:05:44,724 - mmseg - INFO - Iter [39700/160000] lr: 4.511e-05, eta: 11:24:12, time: 0.343, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1403, decode.acc_seg: 94.4333, loss: 0.1403 2023-01-06 03:06:01,665 - mmseg - INFO - Iter [39750/160000] lr: 4.509e-05, eta: 11:23:55, time: 0.339, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1656, decode.acc_seg: 93.7802, loss: 0.1656 2023-01-06 03:06:18,398 - mmseg - INFO - Iter [39800/160000] lr: 4.508e-05, eta: 11:23:37, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1719, decode.acc_seg: 93.6224, loss: 0.1719 2023-01-06 03:06:37,708 - mmseg - INFO - Iter [39850/160000] lr: 4.506e-05, eta: 11:23:27, time: 0.386, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1618, decode.acc_seg: 93.7107, loss: 0.1618 2023-01-06 03:06:54,147 - mmseg - INFO - Iter [39900/160000] lr: 4.504e-05, eta: 11:23:08, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1634, decode.acc_seg: 93.6170, loss: 0.1634 2023-01-06 03:07:10,637 - mmseg - INFO - Iter [39950/160000] lr: 4.502e-05, eta: 11:22:49, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1534, decode.acc_seg: 93.9413, loss: 0.1534 2023-01-06 03:07:27,486 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 03:07:27,487 - mmseg - INFO - Iter [40000/160000] lr: 4.500e-05, eta: 11:22:31, time: 0.337, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1633, decode.acc_seg: 93.6911, loss: 0.1633 2023-01-06 03:07:44,114 - mmseg - INFO - Iter [40050/160000] lr: 4.498e-05, eta: 11:22:13, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1621, decode.acc_seg: 93.8507, loss: 0.1621 2023-01-06 03:08:01,223 - mmseg - INFO - Iter [40100/160000] lr: 4.496e-05, eta: 11:21:56, time: 0.342, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1638, decode.acc_seg: 93.8194, loss: 0.1638 2023-01-06 03:08:17,828 - mmseg - INFO - Iter [40150/160000] lr: 4.494e-05, eta: 11:21:37, time: 0.332, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1622, decode.acc_seg: 93.8648, loss: 0.1622 2023-01-06 03:08:36,729 - mmseg - INFO - Iter [40200/160000] lr: 4.493e-05, eta: 11:21:26, time: 0.378, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1822, decode.acc_seg: 93.0347, loss: 0.1822 2023-01-06 03:08:53,522 - mmseg - INFO - Iter [40250/160000] lr: 4.491e-05, eta: 11:21:08, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1760, decode.acc_seg: 93.0982, loss: 0.1760 2023-01-06 03:09:10,331 - mmseg - INFO - Iter [40300/160000] lr: 4.489e-05, eta: 11:20:50, time: 0.337, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1659, decode.acc_seg: 93.6663, loss: 0.1659 2023-01-06 03:09:26,967 - mmseg - INFO - Iter [40350/160000] lr: 4.487e-05, eta: 11:20:32, time: 0.333, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1466, decode.acc_seg: 94.1163, loss: 0.1466 2023-01-06 03:09:43,853 - mmseg - INFO - Iter [40400/160000] lr: 4.485e-05, eta: 11:20:14, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1580, decode.acc_seg: 93.8825, loss: 0.1580 2023-01-06 03:10:00,476 - mmseg - INFO - Iter [40450/160000] lr: 4.483e-05, eta: 11:19:56, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1586, decode.acc_seg: 93.8569, loss: 0.1586 2023-01-06 03:10:17,323 - mmseg - INFO - Iter [40500/160000] lr: 4.481e-05, eta: 11:19:38, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1637, decode.acc_seg: 93.7468, loss: 0.1637 2023-01-06 03:10:36,182 - mmseg - INFO - Iter [40550/160000] lr: 4.479e-05, eta: 11:19:26, time: 0.377, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1577, decode.acc_seg: 93.8704, loss: 0.1577 2023-01-06 03:10:52,816 - mmseg - INFO - Iter [40600/160000] lr: 4.478e-05, eta: 11:19:08, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1836, decode.acc_seg: 93.2160, loss: 0.1836 2023-01-06 03:11:09,800 - mmseg - INFO - Iter [40650/160000] lr: 4.476e-05, eta: 11:18:51, time: 0.339, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1800, decode.acc_seg: 93.1052, loss: 0.1800 2023-01-06 03:11:26,716 - mmseg - INFO - Iter [40700/160000] lr: 4.474e-05, eta: 11:18:33, time: 0.339, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1643, decode.acc_seg: 93.4951, loss: 0.1643 2023-01-06 03:11:43,292 - mmseg - INFO - Iter [40750/160000] lr: 4.472e-05, eta: 11:18:15, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1513, decode.acc_seg: 94.0021, loss: 0.1513 2023-01-06 03:11:59,516 - mmseg - INFO - Iter [40800/160000] lr: 4.470e-05, eta: 11:17:55, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1650, decode.acc_seg: 93.7577, loss: 0.1650 2023-01-06 03:12:15,921 - mmseg - INFO - Iter [40850/160000] lr: 4.468e-05, eta: 11:17:36, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1521, decode.acc_seg: 94.0229, loss: 0.1521 2023-01-06 03:12:32,456 - mmseg - INFO - Iter [40900/160000] lr: 4.466e-05, eta: 11:17:18, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1532, decode.acc_seg: 93.9573, loss: 0.1532 2023-01-06 03:12:51,382 - mmseg - INFO - Iter [40950/160000] lr: 4.464e-05, eta: 11:17:06, time: 0.379, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1625, decode.acc_seg: 93.7610, loss: 0.1625 2023-01-06 03:13:08,048 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 03:13:08,049 - mmseg - INFO - Iter [41000/160000] lr: 4.463e-05, eta: 11:16:48, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1520, decode.acc_seg: 94.0758, loss: 0.1520 2023-01-06 03:13:24,705 - mmseg - INFO - Iter [41050/160000] lr: 4.461e-05, eta: 11:16:30, time: 0.333, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1652, decode.acc_seg: 93.6331, loss: 0.1652 2023-01-06 03:13:41,536 - mmseg - INFO - Iter [41100/160000] lr: 4.459e-05, eta: 11:16:12, time: 0.337, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1451, decode.acc_seg: 94.2507, loss: 0.1451 2023-01-06 03:13:58,354 - mmseg - INFO - Iter [41150/160000] lr: 4.457e-05, eta: 11:15:54, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1539, decode.acc_seg: 94.0233, loss: 0.1539 2023-01-06 03:14:15,002 - mmseg - INFO - Iter [41200/160000] lr: 4.455e-05, eta: 11:15:36, time: 0.333, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1818, decode.acc_seg: 93.3648, loss: 0.1818 2023-01-06 03:14:31,679 - mmseg - INFO - Iter [41250/160000] lr: 4.453e-05, eta: 11:15:18, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1749, decode.acc_seg: 93.5082, loss: 0.1749 2023-01-06 03:14:50,946 - mmseg - INFO - Iter [41300/160000] lr: 4.451e-05, eta: 11:15:07, time: 0.385, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1657, decode.acc_seg: 93.6632, loss: 0.1657 2023-01-06 03:15:07,722 - mmseg - INFO - Iter [41350/160000] lr: 4.449e-05, eta: 11:14:49, time: 0.336, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1588, decode.acc_seg: 93.7585, loss: 0.1588 2023-01-06 03:15:24,060 - mmseg - INFO - Iter [41400/160000] lr: 4.448e-05, eta: 11:14:30, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1690, decode.acc_seg: 93.7381, loss: 0.1690 2023-01-06 03:15:40,381 - mmseg - INFO - Iter [41450/160000] lr: 4.446e-05, eta: 11:14:11, time: 0.326, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1612, decode.acc_seg: 93.8785, loss: 0.1612 2023-01-06 03:15:56,783 - mmseg - INFO - Iter [41500/160000] lr: 4.444e-05, eta: 11:13:52, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1493, decode.acc_seg: 94.1759, loss: 0.1493 2023-01-06 03:16:13,202 - mmseg - INFO - Iter [41550/160000] lr: 4.442e-05, eta: 11:13:33, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1663, decode.acc_seg: 93.2510, loss: 0.1663 2023-01-06 03:16:29,793 - mmseg - INFO - Iter [41600/160000] lr: 4.440e-05, eta: 11:13:15, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1394, decode.acc_seg: 94.4913, loss: 0.1394 2023-01-06 03:16:46,277 - mmseg - INFO - Iter [41650/160000] lr: 4.438e-05, eta: 11:12:56, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1468, decode.acc_seg: 94.4349, loss: 0.1468 2023-01-06 03:17:05,300 - mmseg - INFO - Iter [41700/160000] lr: 4.436e-05, eta: 11:12:44, time: 0.381, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1674, decode.acc_seg: 93.8010, loss: 0.1674 2023-01-06 03:17:21,805 - mmseg - INFO - Iter [41750/160000] lr: 4.434e-05, eta: 11:12:26, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1475, decode.acc_seg: 94.2805, loss: 0.1475 2023-01-06 03:17:38,136 - mmseg - INFO - Iter [41800/160000] lr: 4.433e-05, eta: 11:12:07, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1484, decode.acc_seg: 94.3204, loss: 0.1484 2023-01-06 03:17:55,289 - mmseg - INFO - Iter [41850/160000] lr: 4.431e-05, eta: 11:11:50, time: 0.343, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1437, decode.acc_seg: 94.3781, loss: 0.1437 2023-01-06 03:18:11,948 - mmseg - INFO - Iter [41900/160000] lr: 4.429e-05, eta: 11:11:32, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1529, decode.acc_seg: 94.0283, loss: 0.1529 2023-01-06 03:18:28,423 - mmseg - INFO - Iter [41950/160000] lr: 4.427e-05, eta: 11:11:13, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1566, decode.acc_seg: 94.0088, loss: 0.1566 2023-01-06 03:18:45,119 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 03:18:45,120 - mmseg - INFO - Iter [42000/160000] lr: 4.425e-05, eta: 11:10:55, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1487, decode.acc_seg: 94.0276, loss: 0.1487 2023-01-06 03:19:04,060 - mmseg - INFO - Iter [42050/160000] lr: 4.423e-05, eta: 11:10:43, time: 0.379, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1584, decode.acc_seg: 93.8772, loss: 0.1584 2023-01-06 03:19:20,354 - mmseg - INFO - Iter [42100/160000] lr: 4.421e-05, eta: 11:10:24, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1666, decode.acc_seg: 93.8231, loss: 0.1666 2023-01-06 03:19:36,987 - mmseg - INFO - Iter [42150/160000] lr: 4.419e-05, eta: 11:10:06, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1706, decode.acc_seg: 93.4396, loss: 0.1706 2023-01-06 03:19:53,289 - mmseg - INFO - Iter [42200/160000] lr: 4.418e-05, eta: 11:09:46, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1586, decode.acc_seg: 93.8839, loss: 0.1586 2023-01-06 03:20:09,713 - mmseg - INFO - Iter [42250/160000] lr: 4.416e-05, eta: 11:09:28, time: 0.329, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1477, decode.acc_seg: 94.1064, loss: 0.1477 2023-01-06 03:20:26,283 - mmseg - INFO - Iter [42300/160000] lr: 4.414e-05, eta: 11:09:09, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1615, decode.acc_seg: 93.6030, loss: 0.1615 2023-01-06 03:20:42,695 - mmseg - INFO - Iter [42350/160000] lr: 4.412e-05, eta: 11:08:50, time: 0.329, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1547, decode.acc_seg: 93.9222, loss: 0.1547 2023-01-06 03:20:59,094 - mmseg - INFO - Iter [42400/160000] lr: 4.410e-05, eta: 11:08:32, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1432, decode.acc_seg: 94.5026, loss: 0.1432 2023-01-06 03:21:17,893 - mmseg - INFO - Iter [42450/160000] lr: 4.408e-05, eta: 11:08:19, time: 0.376, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1595, decode.acc_seg: 93.8154, loss: 0.1595 2023-01-06 03:21:34,294 - mmseg - INFO - Iter [42500/160000] lr: 4.406e-05, eta: 11:08:00, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1508, decode.acc_seg: 94.2152, loss: 0.1508 2023-01-06 03:21:50,871 - mmseg - INFO - Iter [42550/160000] lr: 4.404e-05, eta: 11:07:42, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1627, decode.acc_seg: 93.6620, loss: 0.1627 2023-01-06 03:22:07,106 - mmseg - INFO - Iter [42600/160000] lr: 4.403e-05, eta: 11:07:23, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1571, decode.acc_seg: 93.8822, loss: 0.1571 2023-01-06 03:22:23,411 - mmseg - INFO - Iter [42650/160000] lr: 4.401e-05, eta: 11:07:04, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1520, decode.acc_seg: 94.0494, loss: 0.1520 2023-01-06 03:22:40,127 - mmseg - INFO - Iter [42700/160000] lr: 4.399e-05, eta: 11:06:46, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1518, decode.acc_seg: 94.0077, loss: 0.1518 2023-01-06 03:22:56,630 - mmseg - INFO - Iter [42750/160000] lr: 4.397e-05, eta: 11:06:27, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1664, decode.acc_seg: 93.6918, loss: 0.1664 2023-01-06 03:23:15,263 - mmseg - INFO - Iter [42800/160000] lr: 4.395e-05, eta: 11:06:14, time: 0.373, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1674, decode.acc_seg: 93.6857, loss: 0.1674 2023-01-06 03:23:31,666 - mmseg - INFO - Iter [42850/160000] lr: 4.393e-05, eta: 11:05:55, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1511, decode.acc_seg: 94.2663, loss: 0.1511 2023-01-06 03:23:48,145 - mmseg - INFO - Iter [42900/160000] lr: 4.391e-05, eta: 11:05:37, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1431, decode.acc_seg: 94.4000, loss: 0.1431 2023-01-06 03:24:04,502 - mmseg - INFO - Iter [42950/160000] lr: 4.389e-05, eta: 11:05:18, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1677, decode.acc_seg: 93.8183, loss: 0.1677 2023-01-06 03:24:21,367 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 03:24:21,367 - mmseg - INFO - Iter [43000/160000] lr: 4.388e-05, eta: 11:05:00, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1536, decode.acc_seg: 93.9393, loss: 0.1536 2023-01-06 03:24:37,788 - mmseg - INFO - Iter [43050/160000] lr: 4.386e-05, eta: 11:04:42, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1486, decode.acc_seg: 94.1410, loss: 0.1486 2023-01-06 03:24:54,180 - mmseg - INFO - Iter [43100/160000] lr: 4.384e-05, eta: 11:04:23, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1662, decode.acc_seg: 93.8683, loss: 0.1662 2023-01-06 03:25:10,951 - mmseg - INFO - Iter [43150/160000] lr: 4.382e-05, eta: 11:04:05, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.3521, decode.acc_seg: 90.4660, loss: 0.3521 2023-01-06 03:25:29,538 - mmseg - INFO - Iter [43200/160000] lr: 4.380e-05, eta: 11:03:52, time: 0.372, data_time: 0.056, memory: 8466, decode.loss_ce: 0.2015, decode.acc_seg: 92.1858, loss: 0.2015 2023-01-06 03:25:45,987 - mmseg - INFO - Iter [43250/160000] lr: 4.378e-05, eta: 11:03:33, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1973, decode.acc_seg: 92.5593, loss: 0.1973 2023-01-06 03:26:02,312 - mmseg - INFO - Iter [43300/160000] lr: 4.376e-05, eta: 11:03:14, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1829, decode.acc_seg: 93.1491, loss: 0.1829 2023-01-06 03:26:18,794 - mmseg - INFO - Iter [43350/160000] lr: 4.374e-05, eta: 11:02:56, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1919, decode.acc_seg: 92.6798, loss: 0.1919 2023-01-06 03:26:35,192 - mmseg - INFO - Iter [43400/160000] lr: 4.373e-05, eta: 11:02:37, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1676, decode.acc_seg: 93.5222, loss: 0.1676 2023-01-06 03:26:52,515 - mmseg - INFO - Iter [43450/160000] lr: 4.371e-05, eta: 11:02:21, time: 0.346, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1594, decode.acc_seg: 93.8078, loss: 0.1594 2023-01-06 03:27:09,741 - mmseg - INFO - Iter [43500/160000] lr: 4.369e-05, eta: 11:02:04, time: 0.344, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1774, decode.acc_seg: 93.1863, loss: 0.1774 2023-01-06 03:27:28,797 - mmseg - INFO - Iter [43550/160000] lr: 4.367e-05, eta: 11:01:52, time: 0.381, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1638, decode.acc_seg: 93.6161, loss: 0.1638 2023-01-06 03:27:45,568 - mmseg - INFO - Iter [43600/160000] lr: 4.365e-05, eta: 11:01:35, time: 0.336, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1645, decode.acc_seg: 93.7868, loss: 0.1645 2023-01-06 03:28:01,706 - mmseg - INFO - Iter [43650/160000] lr: 4.363e-05, eta: 11:01:15, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1633, decode.acc_seg: 93.6323, loss: 0.1633 2023-01-06 03:28:18,648 - mmseg - INFO - Iter [43700/160000] lr: 4.361e-05, eta: 11:00:58, time: 0.339, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1569, decode.acc_seg: 93.9557, loss: 0.1569 2023-01-06 03:28:35,282 - mmseg - INFO - Iter [43750/160000] lr: 4.359e-05, eta: 11:00:40, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1478, decode.acc_seg: 94.1090, loss: 0.1478 2023-01-06 03:28:51,701 - mmseg - INFO - Iter [43800/160000] lr: 4.358e-05, eta: 11:00:21, time: 0.328, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1602, decode.acc_seg: 94.1248, loss: 0.1602 2023-01-06 03:29:08,123 - mmseg - INFO - Iter [43850/160000] lr: 4.356e-05, eta: 11:00:02, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1562, decode.acc_seg: 93.9756, loss: 0.1562 2023-01-06 03:29:26,628 - mmseg - INFO - Iter [43900/160000] lr: 4.354e-05, eta: 10:59:49, time: 0.370, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1507, decode.acc_seg: 94.1305, loss: 0.1507 2023-01-06 03:29:43,598 - mmseg - INFO - Iter [43950/160000] lr: 4.352e-05, eta: 10:59:32, time: 0.339, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1669, decode.acc_seg: 93.7474, loss: 0.1669 2023-01-06 03:30:00,168 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 03:30:00,169 - mmseg - INFO - Iter 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[44250/160000] lr: 4.341e-05, eta: 10:57:39, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1583, decode.acc_seg: 93.7378, loss: 0.1583 2023-01-06 03:31:40,576 - mmseg - INFO - Iter [44300/160000] lr: 4.339e-05, eta: 10:57:26, time: 0.374, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1557, decode.acc_seg: 93.9285, loss: 0.1557 2023-01-06 03:31:57,114 - mmseg - INFO - Iter [44350/160000] lr: 4.337e-05, eta: 10:57:08, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1532, decode.acc_seg: 94.0434, loss: 0.1532 2023-01-06 03:32:13,896 - mmseg - INFO - Iter [44400/160000] lr: 4.335e-05, eta: 10:56:50, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1581, decode.acc_seg: 93.8796, loss: 0.1581 2023-01-06 03:32:30,317 - mmseg - INFO - Iter [44450/160000] lr: 4.333e-05, eta: 10:56:31, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1556, decode.acc_seg: 94.0509, loss: 0.1556 2023-01-06 03:32:46,726 - mmseg - INFO - Iter [44500/160000] lr: 4.331e-05, eta: 10:56:13, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1488, decode.acc_seg: 94.2113, loss: 0.1488 2023-01-06 03:33:03,290 - mmseg - INFO - Iter [44550/160000] lr: 4.329e-05, eta: 10:55:54, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1478, decode.acc_seg: 94.2243, loss: 0.1478 2023-01-06 03:33:19,759 - mmseg - INFO - Iter [44600/160000] lr: 4.328e-05, eta: 10:55:36, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1634, decode.acc_seg: 93.7622, loss: 0.1634 2023-01-06 03:33:38,434 - mmseg - INFO - Iter [44650/160000] lr: 4.326e-05, eta: 10:55:23, time: 0.374, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1466, decode.acc_seg: 94.2512, loss: 0.1466 2023-01-06 03:33:55,281 - mmseg - INFO - Iter [44700/160000] lr: 4.324e-05, eta: 10:55:06, time: 0.337, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1533, decode.acc_seg: 93.9903, loss: 0.1533 2023-01-06 03:34:11,862 - mmseg - INFO - Iter [44750/160000] lr: 4.322e-05, eta: 10:54:47, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1626, decode.acc_seg: 93.5886, loss: 0.1626 2023-01-06 03:34:28,145 - mmseg - INFO - Iter [44800/160000] lr: 4.320e-05, eta: 10:54:28, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1410, decode.acc_seg: 94.3986, loss: 0.1410 2023-01-06 03:34:44,443 - mmseg - INFO - Iter [44850/160000] lr: 4.318e-05, eta: 10:54:09, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1505, decode.acc_seg: 94.1484, loss: 0.1505 2023-01-06 03:35:01,099 - mmseg - INFO - Iter [44900/160000] lr: 4.316e-05, eta: 10:53:51, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1407, decode.acc_seg: 94.4572, loss: 0.1407 2023-01-06 03:35:18,172 - mmseg - INFO - Iter [44950/160000] lr: 4.314e-05, eta: 10:53:34, time: 0.342, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1460, decode.acc_seg: 94.4206, loss: 0.1460 2023-01-06 03:35:34,617 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 03:35:34,618 - mmseg - INFO - Iter [45000/160000] lr: 4.313e-05, eta: 10:53:16, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1522, decode.acc_seg: 94.0910, loss: 0.1522 2023-01-06 03:35:53,129 - mmseg - INFO - Iter [45050/160000] lr: 4.311e-05, eta: 10:53:02, time: 0.370, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1540, decode.acc_seg: 94.0386, loss: 0.1540 2023-01-06 03:36:09,708 - mmseg - INFO - Iter [45100/160000] lr: 4.309e-05, eta: 10:52:44, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1585, decode.acc_seg: 93.8593, loss: 0.1585 2023-01-06 03:36:25,949 - mmseg - INFO - Iter [45150/160000] lr: 4.307e-05, eta: 10:52:25, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1514, decode.acc_seg: 94.0605, loss: 0.1514 2023-01-06 03:36:42,960 - mmseg - INFO - Iter [45200/160000] lr: 4.305e-05, eta: 10:52:08, time: 0.340, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1610, decode.acc_seg: 93.8795, loss: 0.1610 2023-01-06 03:36:59,540 - mmseg - INFO - Iter [45250/160000] lr: 4.303e-05, eta: 10:51:50, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1621, decode.acc_seg: 93.8222, loss: 0.1621 2023-01-06 03:37:15,635 - mmseg - INFO - Iter [45300/160000] lr: 4.301e-05, eta: 10:51:30, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1573, decode.acc_seg: 93.9884, loss: 0.1573 2023-01-06 03:37:32,225 - mmseg - INFO - Iter [45350/160000] lr: 4.299e-05, eta: 10:51:12, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1458, decode.acc_seg: 94.2590, loss: 0.1458 2023-01-06 03:37:51,071 - mmseg - INFO - Iter [45400/160000] lr: 4.298e-05, eta: 10:51:00, time: 0.377, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1518, decode.acc_seg: 94.1692, loss: 0.1518 2023-01-06 03:38:07,865 - mmseg - INFO - Iter [45450/160000] lr: 4.296e-05, eta: 10:50:42, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1526, decode.acc_seg: 93.9581, loss: 0.1526 2023-01-06 03:38:25,032 - mmseg - INFO - Iter [45500/160000] lr: 4.294e-05, eta: 10:50:25, time: 0.343, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1403, decode.acc_seg: 94.4717, loss: 0.1403 2023-01-06 03:38:41,767 - mmseg - INFO - Iter [45550/160000] lr: 4.292e-05, eta: 10:50:07, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1443, decode.acc_seg: 94.2558, loss: 0.1443 2023-01-06 03:38:58,162 - mmseg - INFO - Iter [45600/160000] lr: 4.290e-05, eta: 10:49:49, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1634, decode.acc_seg: 93.9154, loss: 0.1634 2023-01-06 03:39:14,433 - mmseg - INFO - Iter [45650/160000] lr: 4.288e-05, eta: 10:49:30, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1609, decode.acc_seg: 93.7651, loss: 0.1609 2023-01-06 03:39:30,862 - mmseg - INFO - Iter [45700/160000] lr: 4.286e-05, eta: 10:49:11, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1452, decode.acc_seg: 94.4369, loss: 0.1452 2023-01-06 03:39:47,105 - mmseg - INFO - Iter [45750/160000] lr: 4.284e-05, eta: 10:48:52, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1466, decode.acc_seg: 94.2295, loss: 0.1466 2023-01-06 03:40:05,667 - mmseg - INFO - Iter [45800/160000] lr: 4.283e-05, eta: 10:48:39, time: 0.371, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1420, decode.acc_seg: 94.3371, loss: 0.1420 2023-01-06 03:40:22,380 - mmseg - INFO - Iter [45850/160000] lr: 4.281e-05, eta: 10:48:21, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1410, decode.acc_seg: 94.6199, loss: 0.1410 2023-01-06 03:40:38,894 - mmseg - INFO - Iter [45900/160000] lr: 4.279e-05, eta: 10:48:03, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1553, decode.acc_seg: 94.0321, loss: 0.1553 2023-01-06 03:40:55,955 - mmseg - INFO - Iter [45950/160000] lr: 4.277e-05, eta: 10:47:46, time: 0.341, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1471, decode.acc_seg: 94.1795, loss: 0.1471 2023-01-06 03:41:12,953 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 03:41:12,954 - mmseg - INFO - Iter [46000/160000] lr: 4.275e-05, eta: 10:47:29, time: 0.340, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1575, decode.acc_seg: 93.9408, loss: 0.1575 2023-01-06 03:41:29,356 - mmseg - INFO - Iter [46050/160000] lr: 4.273e-05, eta: 10:47:10, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1490, decode.acc_seg: 94.1967, loss: 0.1490 2023-01-06 03:41:45,833 - mmseg - INFO - Iter [46100/160000] lr: 4.271e-05, eta: 10:46:52, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1647, decode.acc_seg: 93.6969, loss: 0.1647 2023-01-06 03:42:04,340 - mmseg - INFO - Iter [46150/160000] lr: 4.269e-05, eta: 10:46:38, time: 0.370, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1619, decode.acc_seg: 93.9365, loss: 0.1619 2023-01-06 03:42:20,922 - mmseg - INFO - Iter [46200/160000] lr: 4.268e-05, eta: 10:46:20, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1676, decode.acc_seg: 93.5667, loss: 0.1676 2023-01-06 03:42:37,881 - mmseg - INFO - Iter [46250/160000] lr: 4.266e-05, eta: 10:46:03, time: 0.340, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1462, decode.acc_seg: 94.1363, loss: 0.1462 2023-01-06 03:42:54,125 - mmseg - INFO - Iter [46300/160000] lr: 4.264e-05, eta: 10:45:44, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1484, decode.acc_seg: 94.2071, loss: 0.1484 2023-01-06 03:43:10,608 - mmseg - INFO - Iter [46350/160000] lr: 4.262e-05, eta: 10:45:25, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1723, decode.acc_seg: 93.4613, loss: 0.1723 2023-01-06 03:43:27,403 - mmseg - INFO - Iter [46400/160000] lr: 4.260e-05, eta: 10:45:08, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1668, decode.acc_seg: 93.5001, loss: 0.1668 2023-01-06 03:43:43,902 - mmseg - INFO - Iter [46450/160000] lr: 4.258e-05, eta: 10:44:49, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1621, decode.acc_seg: 93.8406, loss: 0.1621 2023-01-06 03:44:00,059 - mmseg - INFO - Iter [46500/160000] lr: 4.256e-05, eta: 10:44:30, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1532, decode.acc_seg: 94.2914, loss: 0.1532 2023-01-06 03:44:19,079 - mmseg - INFO - Iter [46550/160000] lr: 4.254e-05, eta: 10:44:18, time: 0.380, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1512, decode.acc_seg: 94.1306, loss: 0.1512 2023-01-06 03:44:35,435 - mmseg - INFO - Iter [46600/160000] lr: 4.253e-05, eta: 10:43:59, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1396, decode.acc_seg: 94.5395, loss: 0.1396 2023-01-06 03:44:52,071 - mmseg - INFO - Iter [46650/160000] lr: 4.251e-05, eta: 10:43:41, time: 0.333, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1516, decode.acc_seg: 94.0620, loss: 0.1516 2023-01-06 03:45:08,274 - mmseg - INFO - Iter [46700/160000] lr: 4.249e-05, eta: 10:43:22, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1525, decode.acc_seg: 94.0479, loss: 0.1525 2023-01-06 03:45:24,843 - mmseg - INFO - Iter [46750/160000] lr: 4.247e-05, eta: 10:43:04, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1570, decode.acc_seg: 93.7327, loss: 0.1570 2023-01-06 03:45:41,392 - mmseg - INFO - Iter [46800/160000] lr: 4.245e-05, eta: 10:42:46, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1487, decode.acc_seg: 94.2261, loss: 0.1487 2023-01-06 03:45:57,891 - mmseg - INFO - Iter [46850/160000] lr: 4.243e-05, eta: 10:42:28, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1604, decode.acc_seg: 94.0270, loss: 0.1604 2023-01-06 03:46:16,609 - mmseg - INFO - Iter [46900/160000] lr: 4.241e-05, eta: 10:42:15, time: 0.374, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1521, decode.acc_seg: 94.1446, loss: 0.1521 2023-01-06 03:46:32,966 - mmseg - INFO - Iter [46950/160000] lr: 4.239e-05, eta: 10:41:56, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1441, decode.acc_seg: 94.4082, loss: 0.1441 2023-01-06 03:46:49,654 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 03:46:49,655 - mmseg - INFO - Iter [47000/160000] lr: 4.238e-05, eta: 10:41:38, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1493, decode.acc_seg: 94.1119, loss: 0.1493 2023-01-06 03:47:06,365 - mmseg - INFO - Iter [47050/160000] lr: 4.236e-05, eta: 10:41:20, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1499, decode.acc_seg: 94.2930, loss: 0.1499 2023-01-06 03:47:23,116 - mmseg - INFO - Iter [47100/160000] lr: 4.234e-05, eta: 10:41:03, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1469, decode.acc_seg: 94.3333, loss: 0.1469 2023-01-06 03:47:40,218 - mmseg - INFO - Iter [47150/160000] lr: 4.232e-05, eta: 10:40:46, time: 0.342, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1585, decode.acc_seg: 93.8443, loss: 0.1585 2023-01-06 03:47:57,114 - mmseg - INFO - Iter [47200/160000] lr: 4.230e-05, eta: 10:40:28, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1506, decode.acc_seg: 93.9985, loss: 0.1506 2023-01-06 03:48:15,629 - mmseg - INFO - Iter [47250/160000] lr: 4.228e-05, eta: 10:40:15, time: 0.371, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1483, decode.acc_seg: 94.1585, loss: 0.1483 2023-01-06 03:48:32,207 - mmseg - INFO - Iter [47300/160000] lr: 4.226e-05, eta: 10:39:57, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1531, decode.acc_seg: 94.0113, loss: 0.1531 2023-01-06 03:48:48,447 - mmseg - INFO - Iter [47350/160000] lr: 4.224e-05, eta: 10:39:38, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1363, decode.acc_seg: 94.6648, loss: 0.1363 2023-01-06 03:49:05,059 - mmseg - INFO - Iter [47400/160000] lr: 4.223e-05, eta: 10:39:20, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1488, decode.acc_seg: 94.2526, loss: 0.1488 2023-01-06 03:49:21,478 - mmseg - INFO - Iter [47450/160000] lr: 4.221e-05, eta: 10:39:01, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1527, decode.acc_seg: 94.1642, loss: 0.1527 2023-01-06 03:49:38,012 - mmseg - INFO - Iter [47500/160000] lr: 4.219e-05, eta: 10:38:43, time: 0.331, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1447, decode.acc_seg: 94.2377, loss: 0.1447 2023-01-06 03:49:54,500 - mmseg - INFO - Iter [47550/160000] lr: 4.217e-05, eta: 10:38:25, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1437, decode.acc_seg: 94.2031, loss: 0.1437 2023-01-06 03:50:11,054 - mmseg - INFO - Iter [47600/160000] lr: 4.215e-05, eta: 10:38:07, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1567, decode.acc_seg: 93.9074, loss: 0.1567 2023-01-06 03:50:30,003 - mmseg - INFO - Iter [47650/160000] lr: 4.213e-05, eta: 10:37:54, time: 0.379, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1381, decode.acc_seg: 94.5249, loss: 0.1381 2023-01-06 03:50:46,577 - mmseg - INFO - Iter [47700/160000] lr: 4.211e-05, eta: 10:37:36, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1607, decode.acc_seg: 93.7096, loss: 0.1607 2023-01-06 03:51:03,628 - mmseg - INFO - Iter [47750/160000] lr: 4.209e-05, eta: 10:37:19, time: 0.341, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1501, decode.acc_seg: 94.0693, loss: 0.1501 2023-01-06 03:51:20,138 - mmseg - INFO - Iter [47800/160000] lr: 4.208e-05, eta: 10:37:01, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1560, decode.acc_seg: 94.1643, loss: 0.1560 2023-01-06 03:51:36,471 - mmseg - INFO - Iter [47850/160000] lr: 4.206e-05, eta: 10:36:42, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1493, decode.acc_seg: 94.2461, loss: 0.1493 2023-01-06 03:51:52,765 - mmseg - INFO - Iter [47900/160000] lr: 4.204e-05, eta: 10:36:23, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1510, decode.acc_seg: 94.1112, loss: 0.1510 2023-01-06 03:52:08,886 - mmseg - INFO - Iter [47950/160000] lr: 4.202e-05, eta: 10:36:04, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1490, decode.acc_seg: 94.1073, loss: 0.1490 2023-01-06 03:52:27,590 - mmseg - INFO - Saving checkpoint at 48000 iterations 2023-01-06 03:52:30,532 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 03:52:30,532 - mmseg - INFO - Iter [48000/160000] lr: 4.200e-05, eta: 10:35:58, time: 0.433, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1447, decode.acc_seg: 94.5059, loss: 0.1447 2023-01-06 03:52:55,763 - mmseg - INFO - per class results: 2023-01-06 03:52:55,766 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 97.25 | 98.59 | | sidewalk | 79.13 | 88.1 | | building | 89.33 | 95.54 | | wall | 48.52 | 57.62 | | fence | 44.06 | 51.86 | | pole | 51.22 | 57.51 | | traffic light | 56.73 | 68.81 | | traffic sign | 67.47 | 74.11 | | vegetation | 90.75 | 95.99 | | terrain | 58.48 | 73.73 | | sky | 93.2 | 98.47 | | person | 71.68 | 87.1 | | rider | 41.76 | 49.58 | | car | 91.56 | 96.46 | | truck | 42.47 | 52.62 | | bus | 56.2 | 69.81 | | train | 35.16 | 48.43 | | motorcycle | 39.24 | 49.33 | | bicycle | 67.84 | 81.77 | +---------------+-------+-------+ 2023-01-06 03:52:55,766 - mmseg - INFO - Summary: 2023-01-06 03:52:55,767 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 94.32 | 64.32 | 73.44 | +-------+-------+-------+ 2023-01-06 03:52:55,767 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 03:52:55,768 - mmseg - INFO - Iter(val) [63] aAcc: 0.9432, mIoU: 0.6432, mAcc: 0.7344, IoU.road: 0.9725, IoU.sidewalk: 0.7913, IoU.building: 0.8933, IoU.wall: 0.4852, IoU.fence: 0.4406, IoU.pole: 0.5122, IoU.traffic light: 0.5673, IoU.traffic sign: 0.6747, IoU.vegetation: 0.9075, IoU.terrain: 0.5848, IoU.sky: 0.9320, IoU.person: 0.7168, IoU.rider: 0.4176, IoU.car: 0.9156, IoU.truck: 0.4247, IoU.bus: 0.5620, IoU.train: 0.3516, IoU.motorcycle: 0.3924, IoU.bicycle: 0.6784, Acc.road: 0.9859, Acc.sidewalk: 0.8810, Acc.building: 0.9554, Acc.wall: 0.5762, Acc.fence: 0.5186, Acc.pole: 0.5751, Acc.traffic light: 0.6881, Acc.traffic sign: 0.7411, Acc.vegetation: 0.9599, Acc.terrain: 0.7373, Acc.sky: 0.9847, Acc.person: 0.8710, Acc.rider: 0.4958, Acc.car: 0.9646, Acc.truck: 0.5262, Acc.bus: 0.6981, Acc.train: 0.4843, Acc.motorcycle: 0.4933, Acc.bicycle: 0.8177 2023-01-06 03:53:12,647 - mmseg - INFO - Iter [48050/160000] lr: 4.198e-05, eta: 10:36:39, time: 0.842, data_time: 0.515, memory: 8466, decode.loss_ce: 0.1630, decode.acc_seg: 93.8598, loss: 0.1630 2023-01-06 03:53:28,987 - mmseg - INFO - Iter [48100/160000] lr: 4.196e-05, eta: 10:36:20, time: 0.327, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1508, decode.acc_seg: 94.3074, loss: 0.1508 2023-01-06 03:53:45,148 - mmseg - INFO - Iter [48150/160000] lr: 4.194e-05, eta: 10:36:01, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1544, decode.acc_seg: 94.0189, loss: 0.1544 2023-01-06 03:54:01,318 - mmseg - INFO - Iter [48200/160000] lr: 4.193e-05, eta: 10:35:42, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1579, decode.acc_seg: 93.9273, loss: 0.1579 2023-01-06 03:54:18,347 - mmseg - INFO - Iter [48250/160000] lr: 4.191e-05, eta: 10:35:25, time: 0.341, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1436, decode.acc_seg: 94.4954, loss: 0.1436 2023-01-06 03:54:34,970 - mmseg - INFO - Iter [48300/160000] lr: 4.189e-05, eta: 10:35:07, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1694, decode.acc_seg: 93.4288, loss: 0.1694 2023-01-06 03:54:51,020 - mmseg - INFO - Iter [48350/160000] lr: 4.187e-05, eta: 10:34:48, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1602, decode.acc_seg: 93.9679, loss: 0.1602 2023-01-06 03:55:09,884 - mmseg - INFO - Iter [48400/160000] lr: 4.185e-05, eta: 10:34:35, time: 0.377, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1418, decode.acc_seg: 94.4176, loss: 0.1418 2023-01-06 03:55:26,161 - mmseg - INFO - Iter [48450/160000] lr: 4.183e-05, eta: 10:34:16, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1459, decode.acc_seg: 94.2459, loss: 0.1459 2023-01-06 03:55:42,401 - mmseg - INFO - Iter [48500/160000] lr: 4.181e-05, eta: 10:33:57, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1401, decode.acc_seg: 94.5691, loss: 0.1401 2023-01-06 03:55:58,919 - mmseg - INFO - Iter [48550/160000] lr: 4.179e-05, eta: 10:33:39, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1575, decode.acc_seg: 93.9724, loss: 0.1575 2023-01-06 03:56:15,211 - mmseg - INFO - Iter [48600/160000] lr: 4.178e-05, eta: 10:33:20, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1447, decode.acc_seg: 94.3022, loss: 0.1447 2023-01-06 03:56:31,468 - mmseg - INFO - Iter [48650/160000] lr: 4.176e-05, eta: 10:33:01, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1693, decode.acc_seg: 93.4515, loss: 0.1693 2023-01-06 03:56:48,044 - mmseg - INFO - Iter [48700/160000] lr: 4.174e-05, eta: 10:32:43, time: 0.332, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1582, decode.acc_seg: 93.9359, loss: 0.1582 2023-01-06 03:57:06,861 - mmseg - INFO - Iter [48750/160000] lr: 4.172e-05, eta: 10:32:30, time: 0.376, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1534, decode.acc_seg: 94.1087, loss: 0.1534 2023-01-06 03:57:23,429 - mmseg - INFO - Iter [48800/160000] lr: 4.170e-05, eta: 10:32:11, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1566, decode.acc_seg: 94.1841, loss: 0.1566 2023-01-06 03:57:40,069 - mmseg - INFO - Iter [48850/160000] lr: 4.168e-05, eta: 10:31:54, time: 0.333, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1489, decode.acc_seg: 94.1947, loss: 0.1489 2023-01-06 03:57:56,634 - mmseg - INFO - Iter [48900/160000] lr: 4.166e-05, eta: 10:31:35, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1506, decode.acc_seg: 94.2492, loss: 0.1506 2023-01-06 03:58:13,342 - mmseg - INFO - Iter [48950/160000] lr: 4.164e-05, eta: 10:31:18, time: 0.335, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1471, decode.acc_seg: 94.1085, loss: 0.1471 2023-01-06 03:58:30,263 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 03:58:30,264 - mmseg - INFO - Iter [49000/160000] lr: 4.163e-05, eta: 10:31:00, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1388, decode.acc_seg: 94.4098, loss: 0.1388 2023-01-06 03:58:47,129 - mmseg - INFO - Iter [49050/160000] lr: 4.161e-05, eta: 10:30:43, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1478, decode.acc_seg: 94.2595, loss: 0.1478 2023-01-06 03:59:03,287 - mmseg - INFO - Iter [49100/160000] lr: 4.159e-05, eta: 10:30:24, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1531, decode.acc_seg: 94.0836, loss: 0.1531 2023-01-06 03:59:22,129 - mmseg - INFO - Iter [49150/160000] lr: 4.157e-05, eta: 10:30:11, time: 0.376, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1426, decode.acc_seg: 94.4597, loss: 0.1426 2023-01-06 03:59:38,877 - mmseg - INFO - Iter [49200/160000] lr: 4.155e-05, eta: 10:29:53, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1463, decode.acc_seg: 94.1304, loss: 0.1463 2023-01-06 03:59:55,480 - mmseg - INFO - Iter [49250/160000] lr: 4.153e-05, eta: 10:29:35, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1445, decode.acc_seg: 94.4602, loss: 0.1445 2023-01-06 04:00:12,254 - mmseg - INFO - Iter [49300/160000] lr: 4.151e-05, eta: 10:29:17, time: 0.335, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1476, decode.acc_seg: 94.2926, loss: 0.1476 2023-01-06 04:00:28,801 - mmseg - INFO - Iter [49350/160000] lr: 4.149e-05, eta: 10:28:59, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1473, decode.acc_seg: 94.3645, loss: 0.1473 2023-01-06 04:00:45,189 - mmseg - INFO - Iter [49400/160000] lr: 4.148e-05, eta: 10:28:40, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1604, decode.acc_seg: 93.7424, loss: 0.1604 2023-01-06 04:01:01,486 - mmseg - INFO - Iter [49450/160000] lr: 4.146e-05, eta: 10:28:22, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1483, decode.acc_seg: 94.2459, loss: 0.1483 2023-01-06 04:01:20,234 - mmseg - INFO - Iter [49500/160000] lr: 4.144e-05, eta: 10:28:08, time: 0.375, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1500, decode.acc_seg: 94.2313, loss: 0.1500 2023-01-06 04:01:36,631 - mmseg - INFO - Iter [49550/160000] lr: 4.142e-05, eta: 10:27:50, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1460, decode.acc_seg: 94.3463, loss: 0.1460 2023-01-06 04:01:53,123 - mmseg - INFO - Iter [49600/160000] lr: 4.140e-05, eta: 10:27:31, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1448, decode.acc_seg: 94.2098, loss: 0.1448 2023-01-06 04:02:10,251 - mmseg - INFO - Iter [49650/160000] lr: 4.138e-05, eta: 10:27:15, time: 0.342, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1630, decode.acc_seg: 93.8815, loss: 0.1630 2023-01-06 04:02:27,645 - mmseg - INFO - Iter [49700/160000] lr: 4.136e-05, eta: 10:26:58, time: 0.348, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1409, decode.acc_seg: 94.4230, loss: 0.1409 2023-01-06 04:02:43,990 - mmseg - INFO - Iter [49750/160000] lr: 4.134e-05, eta: 10:26:40, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1486, decode.acc_seg: 94.3850, loss: 0.1486 2023-01-06 04:03:00,235 - mmseg - INFO - Iter [49800/160000] lr: 4.133e-05, eta: 10:26:21, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1607, decode.acc_seg: 93.9173, loss: 0.1607 2023-01-06 04:03:18,958 - mmseg - INFO - Iter [49850/160000] lr: 4.131e-05, eta: 10:26:08, time: 0.374, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1481, decode.acc_seg: 94.3278, loss: 0.1481 2023-01-06 04:03:35,145 - mmseg - INFO - Iter [49900/160000] lr: 4.129e-05, eta: 10:25:49, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1469, decode.acc_seg: 94.1637, loss: 0.1469 2023-01-06 04:03:51,915 - mmseg - INFO - Iter [49950/160000] lr: 4.127e-05, eta: 10:25:31, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1424, decode.acc_seg: 94.2454, loss: 0.1424 2023-01-06 04:04:08,555 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 04:04:08,556 - mmseg - INFO - Iter [50000/160000] lr: 4.125e-05, eta: 10:25:13, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1635, decode.acc_seg: 93.8782, loss: 0.1635 2023-01-06 04:04:24,875 - mmseg - INFO - Iter [50050/160000] lr: 4.123e-05, eta: 10:24:54, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1484, decode.acc_seg: 94.2886, loss: 0.1484 2023-01-06 04:04:41,334 - mmseg - INFO - Iter [50100/160000] lr: 4.121e-05, eta: 10:24:36, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1397, decode.acc_seg: 94.5457, loss: 0.1397 2023-01-06 04:04:57,719 - mmseg - INFO - Iter [50150/160000] lr: 4.119e-05, eta: 10:24:17, time: 0.328, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1394, decode.acc_seg: 94.3948, loss: 0.1394 2023-01-06 04:05:14,792 - mmseg - INFO - Iter [50200/160000] lr: 4.118e-05, eta: 10:24:00, time: 0.341, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1477, decode.acc_seg: 94.5117, loss: 0.1477 2023-01-06 04:05:33,635 - mmseg - INFO - Iter [50250/160000] lr: 4.116e-05, eta: 10:23:47, time: 0.376, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1451, decode.acc_seg: 94.3935, loss: 0.1451 2023-01-06 04:05:50,411 - mmseg - INFO - Iter [50300/160000] lr: 4.114e-05, eta: 10:23:30, time: 0.336, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1380, decode.acc_seg: 94.4799, loss: 0.1380 2023-01-06 04:06:07,124 - mmseg - INFO - Iter [50350/160000] lr: 4.112e-05, eta: 10:23:12, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1757, decode.acc_seg: 93.3170, loss: 0.1757 2023-01-06 04:06:23,666 - mmseg - INFO - Iter [50400/160000] lr: 4.110e-05, eta: 10:22:54, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1565, decode.acc_seg: 93.8809, loss: 0.1565 2023-01-06 04:06:40,263 - mmseg - INFO - Iter [50450/160000] lr: 4.108e-05, eta: 10:22:36, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1503, decode.acc_seg: 93.9376, loss: 0.1503 2023-01-06 04:06:56,796 - mmseg - INFO - Iter [50500/160000] lr: 4.106e-05, eta: 10:22:17, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1581, decode.acc_seg: 93.8938, loss: 0.1581 2023-01-06 04:07:13,648 - mmseg - INFO - Iter [50550/160000] lr: 4.104e-05, eta: 10:22:00, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1476, decode.acc_seg: 94.4421, loss: 0.1476 2023-01-06 04:07:32,023 - mmseg - INFO - Iter [50600/160000] lr: 4.103e-05, eta: 10:21:46, time: 0.367, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1431, decode.acc_seg: 94.3613, loss: 0.1431 2023-01-06 04:07:48,175 - mmseg - INFO - Iter [50650/160000] lr: 4.101e-05, eta: 10:21:27, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1525, decode.acc_seg: 94.1802, loss: 0.1525 2023-01-06 04:08:04,589 - mmseg - INFO - Iter [50700/160000] lr: 4.099e-05, eta: 10:21:08, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1323, decode.acc_seg: 94.8961, loss: 0.1323 2023-01-06 04:08:21,231 - mmseg - INFO - Iter [50750/160000] lr: 4.097e-05, eta: 10:20:50, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1455, decode.acc_seg: 94.3358, loss: 0.1455 2023-01-06 04:08:37,529 - mmseg - INFO - Iter [50800/160000] lr: 4.095e-05, eta: 10:20:32, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1434, decode.acc_seg: 94.1827, loss: 0.1434 2023-01-06 04:08:53,829 - mmseg - INFO - Iter [50850/160000] lr: 4.093e-05, eta: 10:20:13, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1366, decode.acc_seg: 94.5481, loss: 0.1366 2023-01-06 04:09:10,623 - mmseg - INFO - Iter [50900/160000] lr: 4.091e-05, eta: 10:19:56, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1511, decode.acc_seg: 94.2210, loss: 0.1511 2023-01-06 04:09:26,944 - mmseg - INFO - Iter [50950/160000] lr: 4.089e-05, eta: 10:19:37, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1666, decode.acc_seg: 93.8766, loss: 0.1666 2023-01-06 04:09:46,099 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 04:09:46,099 - mmseg - INFO - Iter [51000/160000] lr: 4.088e-05, eta: 10:19:24, time: 0.383, data_time: 0.057, memory: 8466, decode.loss_ce: 0.1478, decode.acc_seg: 94.1823, loss: 0.1478 2023-01-06 04:10:02,651 - mmseg - INFO - Iter [51050/160000] lr: 4.086e-05, eta: 10:19:06, time: 0.331, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1438, decode.acc_seg: 94.3228, loss: 0.1438 2023-01-06 04:10:19,340 - mmseg - INFO - Iter [51100/160000] lr: 4.084e-05, eta: 10:18:48, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1446, decode.acc_seg: 94.3588, loss: 0.1446 2023-01-06 04:10:35,905 - mmseg - INFO - Iter [51150/160000] lr: 4.082e-05, eta: 10:18:30, time: 0.332, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1537, decode.acc_seg: 93.9788, loss: 0.1537 2023-01-06 04:10:52,436 - mmseg - INFO - Iter [51200/160000] lr: 4.080e-05, eta: 10:18:12, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1471, decode.acc_seg: 94.2997, loss: 0.1471 2023-01-06 04:11:08,937 - mmseg - INFO - Iter [51250/160000] lr: 4.078e-05, eta: 10:17:54, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1483, decode.acc_seg: 94.2335, loss: 0.1483 2023-01-06 04:11:25,176 - mmseg - INFO - Iter [51300/160000] lr: 4.076e-05, eta: 10:17:35, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1366, decode.acc_seg: 94.5968, loss: 0.1366 2023-01-06 04:11:43,896 - mmseg - INFO - Iter [51350/160000] lr: 4.074e-05, eta: 10:17:22, time: 0.374, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1316, decode.acc_seg: 94.7800, loss: 0.1316 2023-01-06 04:12:00,086 - mmseg - INFO - Iter [51400/160000] lr: 4.073e-05, eta: 10:17:03, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1397, decode.acc_seg: 94.4362, loss: 0.1397 2023-01-06 04:12:16,320 - mmseg - INFO - Iter [51450/160000] lr: 4.071e-05, eta: 10:16:44, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1423, decode.acc_seg: 94.4269, loss: 0.1423 2023-01-06 04:12:32,955 - mmseg - INFO - Iter [51500/160000] lr: 4.069e-05, eta: 10:16:26, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1477, decode.acc_seg: 94.3863, loss: 0.1477 2023-01-06 04:12:50,246 - mmseg - INFO - Iter [51550/160000] lr: 4.067e-05, eta: 10:16:10, time: 0.346, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1533, decode.acc_seg: 94.1186, loss: 0.1533 2023-01-06 04:13:06,734 - mmseg - INFO - Iter [51600/160000] lr: 4.065e-05, eta: 10:15:52, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1412, decode.acc_seg: 94.4583, loss: 0.1412 2023-01-06 04:13:22,824 - mmseg - INFO - Iter [51650/160000] lr: 4.063e-05, eta: 10:15:32, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1370, decode.acc_seg: 94.6201, loss: 0.1370 2023-01-06 04:13:39,439 - mmseg - INFO - Iter [51700/160000] lr: 4.061e-05, eta: 10:15:15, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1415, decode.acc_seg: 94.2558, loss: 0.1415 2023-01-06 04:13:58,259 - mmseg - INFO - Iter [51750/160000] lr: 4.059e-05, eta: 10:15:01, time: 0.376, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1436, decode.acc_seg: 94.3845, loss: 0.1436 2023-01-06 04:14:14,808 - mmseg - INFO - Iter [51800/160000] lr: 4.058e-05, eta: 10:14:43, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1363, decode.acc_seg: 94.3995, loss: 0.1363 2023-01-06 04:14:31,225 - mmseg - INFO - Iter [51850/160000] lr: 4.056e-05, eta: 10:14:25, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1461, decode.acc_seg: 94.3202, loss: 0.1461 2023-01-06 04:14:47,720 - mmseg - INFO - Iter [51900/160000] lr: 4.054e-05, eta: 10:14:07, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1373, decode.acc_seg: 94.6316, loss: 0.1373 2023-01-06 04:15:04,129 - mmseg - INFO - Iter [51950/160000] lr: 4.052e-05, eta: 10:13:48, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1374, decode.acc_seg: 94.4267, loss: 0.1374 2023-01-06 04:15:21,254 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 04:15:21,255 - mmseg - INFO - Iter [52000/160000] lr: 4.050e-05, eta: 10:13:31, time: 0.343, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1431, decode.acc_seg: 94.3671, loss: 0.1431 2023-01-06 04:15:37,443 - mmseg - INFO - Iter [52050/160000] lr: 4.048e-05, eta: 10:13:13, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1338, decode.acc_seg: 94.5786, loss: 0.1338 2023-01-06 04:15:56,208 - mmseg - INFO - Iter [52100/160000] lr: 4.046e-05, eta: 10:12:59, time: 0.376, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1433, decode.acc_seg: 94.4004, loss: 0.1433 2023-01-06 04:16:12,484 - mmseg - INFO - Iter [52150/160000] lr: 4.044e-05, eta: 10:12:40, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1366, decode.acc_seg: 94.6153, loss: 0.1366 2023-01-06 04:16:28,845 - mmseg - INFO - Iter [52200/160000] lr: 4.043e-05, eta: 10:12:22, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1376, decode.acc_seg: 94.5403, loss: 0.1376 2023-01-06 04:16:45,201 - mmseg - INFO - Iter [52250/160000] lr: 4.041e-05, eta: 10:12:04, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1608, decode.acc_seg: 93.9324, loss: 0.1608 2023-01-06 04:17:01,328 - mmseg - INFO - Iter [52300/160000] lr: 4.039e-05, eta: 10:11:45, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1469, decode.acc_seg: 94.3312, loss: 0.1469 2023-01-06 04:17:17,424 - mmseg - INFO - Iter [52350/160000] lr: 4.037e-05, eta: 10:11:26, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1500, decode.acc_seg: 94.1715, loss: 0.1500 2023-01-06 04:17:33,928 - mmseg - INFO - Iter [52400/160000] lr: 4.035e-05, eta: 10:11:07, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1426, decode.acc_seg: 94.6180, loss: 0.1426 2023-01-06 04:17:50,609 - mmseg - INFO - Iter [52450/160000] lr: 4.033e-05, eta: 10:10:50, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1511, decode.acc_seg: 94.1320, loss: 0.1511 2023-01-06 04:18:10,340 - mmseg - INFO - Iter [52500/160000] lr: 4.031e-05, eta: 10:10:38, time: 0.395, data_time: 0.075, memory: 8466, decode.loss_ce: 0.1557, decode.acc_seg: 93.9537, loss: 0.1557 2023-01-06 04:18:26,942 - mmseg - INFO - Iter [52550/160000] lr: 4.029e-05, eta: 10:10:20, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1357, decode.acc_seg: 94.6818, loss: 0.1357 2023-01-06 04:18:43,063 - mmseg - INFO - Iter [52600/160000] lr: 4.028e-05, eta: 10:10:01, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1318, decode.acc_seg: 94.5940, loss: 0.1318 2023-01-06 04:18:59,826 - mmseg - INFO - Iter [52650/160000] lr: 4.026e-05, eta: 10:09:44, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1432, decode.acc_seg: 94.3957, loss: 0.1432 2023-01-06 04:19:16,514 - mmseg - INFO - Iter [52700/160000] lr: 4.024e-05, eta: 10:09:26, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1417, decode.acc_seg: 94.4190, loss: 0.1417 2023-01-06 04:19:33,183 - mmseg - INFO - Iter [52750/160000] lr: 4.022e-05, eta: 10:09:08, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1292, decode.acc_seg: 94.7005, loss: 0.1292 2023-01-06 04:19:49,592 - mmseg - INFO - Iter [52800/160000] lr: 4.020e-05, eta: 10:08:50, time: 0.329, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1439, decode.acc_seg: 94.4282, loss: 0.1439 2023-01-06 04:20:08,225 - mmseg - INFO - Iter [52850/160000] lr: 4.018e-05, eta: 10:08:36, time: 0.373, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1494, decode.acc_seg: 94.1137, loss: 0.1494 2023-01-06 04:20:24,401 - mmseg - INFO - Iter [52900/160000] lr: 4.016e-05, eta: 10:08:17, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1494, decode.acc_seg: 94.2767, loss: 0.1494 2023-01-06 04:20:40,881 - mmseg - INFO - Iter [52950/160000] lr: 4.014e-05, eta: 10:07:59, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1494, decode.acc_seg: 94.0673, loss: 0.1494 2023-01-06 04:20:57,052 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 04:20:57,053 - mmseg - INFO - Iter [53000/160000] lr: 4.013e-05, eta: 10:07:40, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1473, decode.acc_seg: 94.2532, loss: 0.1473 2023-01-06 04:21:13,790 - mmseg - INFO - Iter [53050/160000] lr: 4.011e-05, eta: 10:07:23, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1305, decode.acc_seg: 94.8963, loss: 0.1305 2023-01-06 04:21:29,982 - mmseg - INFO - Iter [53100/160000] lr: 4.009e-05, eta: 10:07:04, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1453, decode.acc_seg: 94.3010, loss: 0.1453 2023-01-06 04:21:46,496 - mmseg - INFO - Iter [53150/160000] lr: 4.007e-05, eta: 10:06:46, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1513, decode.acc_seg: 94.1859, loss: 0.1513 2023-01-06 04:22:05,342 - mmseg - INFO - Iter [53200/160000] lr: 4.005e-05, eta: 10:06:32, time: 0.377, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1476, decode.acc_seg: 94.3095, loss: 0.1476 2023-01-06 04:22:21,737 - mmseg - INFO - Iter [53250/160000] lr: 4.003e-05, eta: 10:06:14, time: 0.328, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1391, decode.acc_seg: 94.5921, loss: 0.1391 2023-01-06 04:22:38,001 - mmseg - INFO - Iter [53300/160000] lr: 4.001e-05, eta: 10:05:55, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1419, decode.acc_seg: 94.4423, loss: 0.1419 2023-01-06 04:22:54,816 - mmseg - INFO - Iter [53350/160000] lr: 3.999e-05, eta: 10:05:38, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1396, decode.acc_seg: 94.4500, loss: 0.1396 2023-01-06 04:23:11,098 - mmseg - INFO - Iter [53400/160000] lr: 3.998e-05, eta: 10:05:19, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1462, decode.acc_seg: 94.1760, loss: 0.1462 2023-01-06 04:23:27,276 - mmseg - INFO - Iter [53450/160000] lr: 3.996e-05, eta: 10:05:01, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1348, decode.acc_seg: 94.6114, loss: 0.1348 2023-01-06 04:23:43,567 - mmseg - INFO - Iter [53500/160000] lr: 3.994e-05, eta: 10:04:42, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1570, decode.acc_seg: 94.0208, loss: 0.1570 2023-01-06 04:23:59,633 - mmseg - INFO - Iter [53550/160000] lr: 3.992e-05, eta: 10:04:23, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1394, decode.acc_seg: 94.6732, loss: 0.1394 2023-01-06 04:24:18,279 - mmseg - INFO - Iter [53600/160000] lr: 3.990e-05, eta: 10:04:09, time: 0.373, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1604, decode.acc_seg: 94.1001, loss: 0.1604 2023-01-06 04:24:35,047 - mmseg - INFO - Iter [53650/160000] lr: 3.988e-05, eta: 10:03:52, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1550, decode.acc_seg: 94.1464, loss: 0.1550 2023-01-06 04:24:51,733 - mmseg - INFO - Iter [53700/160000] lr: 3.986e-05, eta: 10:03:34, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1412, decode.acc_seg: 94.3427, loss: 0.1412 2023-01-06 04:25:08,149 - mmseg - INFO - Iter [53750/160000] lr: 3.984e-05, eta: 10:03:16, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1364, decode.acc_seg: 94.6295, loss: 0.1364 2023-01-06 04:25:24,922 - mmseg - INFO - Iter [53800/160000] lr: 3.983e-05, eta: 10:02:58, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1644, decode.acc_seg: 93.7886, loss: 0.1644 2023-01-06 04:25:41,632 - mmseg - INFO - Iter [53850/160000] lr: 3.981e-05, eta: 10:02:41, time: 0.335, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1465, decode.acc_seg: 94.2314, loss: 0.1465 2023-01-06 04:25:58,198 - mmseg - INFO - Iter [53900/160000] lr: 3.979e-05, eta: 10:02:23, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1529, decode.acc_seg: 94.1281, loss: 0.1529 2023-01-06 04:26:16,896 - mmseg - INFO - Iter [53950/160000] lr: 3.977e-05, eta: 10:02:09, time: 0.374, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1574, decode.acc_seg: 94.0233, loss: 0.1574 2023-01-06 04:26:33,604 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 04:26:33,605 - mmseg - INFO - Iter [54000/160000] lr: 3.975e-05, eta: 10:01:51, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1527, decode.acc_seg: 93.9817, loss: 0.1527 2023-01-06 04:26:50,296 - mmseg - INFO - Iter [54050/160000] lr: 3.973e-05, eta: 10:01:34, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1457, decode.acc_seg: 94.1081, loss: 0.1457 2023-01-06 04:27:07,143 - mmseg - INFO - Iter [54100/160000] lr: 3.971e-05, eta: 10:01:16, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1387, decode.acc_seg: 94.3858, loss: 0.1387 2023-01-06 04:27:23,526 - mmseg - INFO - Iter [54150/160000] lr: 3.969e-05, eta: 10:00:58, time: 0.328, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1521, decode.acc_seg: 94.1477, loss: 0.1521 2023-01-06 04:27:40,178 - mmseg - INFO - Iter [54200/160000] lr: 3.968e-05, eta: 10:00:40, time: 0.333, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1463, decode.acc_seg: 94.3822, loss: 0.1463 2023-01-06 04:27:56,583 - mmseg - INFO - Iter [54250/160000] lr: 3.966e-05, eta: 10:00:22, time: 0.329, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1290, decode.acc_seg: 94.7341, loss: 0.1290 2023-01-06 04:28:12,853 - mmseg - INFO - Iter [54300/160000] lr: 3.964e-05, eta: 10:00:03, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1352, decode.acc_seg: 94.6027, loss: 0.1352 2023-01-06 04:28:31,649 - mmseg - INFO - Iter [54350/160000] lr: 3.962e-05, eta: 9:59:50, time: 0.376, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1525, decode.acc_seg: 94.2239, loss: 0.1525 2023-01-06 04:28:48,193 - mmseg - INFO - Iter [54400/160000] lr: 3.960e-05, eta: 9:59:32, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1407, decode.acc_seg: 94.4141, loss: 0.1407 2023-01-06 04:29:04,926 - mmseg - INFO - Iter [54450/160000] lr: 3.958e-05, eta: 9:59:14, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1385, decode.acc_seg: 94.5878, loss: 0.1385 2023-01-06 04:29:21,312 - mmseg - INFO - Iter [54500/160000] lr: 3.956e-05, eta: 9:58:56, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1450, decode.acc_seg: 94.2298, loss: 0.1450 2023-01-06 04:29:38,269 - mmseg - INFO - Iter [54550/160000] lr: 3.954e-05, eta: 9:58:39, time: 0.340, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1434, decode.acc_seg: 94.2927, loss: 0.1434 2023-01-06 04:29:55,042 - mmseg - INFO - Iter [54600/160000] lr: 3.953e-05, eta: 9:58:21, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1604, decode.acc_seg: 93.9472, loss: 0.1604 2023-01-06 04:30:11,772 - mmseg - INFO - Iter [54650/160000] lr: 3.951e-05, eta: 9:58:03, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1368, decode.acc_seg: 94.5493, loss: 0.1368 2023-01-06 04:30:30,579 - mmseg - INFO - Iter [54700/160000] lr: 3.949e-05, eta: 9:57:50, time: 0.376, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1396, decode.acc_seg: 94.6334, loss: 0.1396 2023-01-06 04:30:46,947 - mmseg - INFO - Iter [54750/160000] lr: 3.947e-05, eta: 9:57:32, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1319, decode.acc_seg: 94.8096, loss: 0.1319 2023-01-06 04:31:03,308 - mmseg - INFO - Iter [54800/160000] lr: 3.945e-05, eta: 9:57:13, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1429, decode.acc_seg: 94.3772, loss: 0.1429 2023-01-06 04:31:20,337 - mmseg - INFO - Iter [54850/160000] lr: 3.943e-05, eta: 9:56:56, time: 0.341, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1465, decode.acc_seg: 94.5261, loss: 0.1465 2023-01-06 04:31:36,717 - mmseg - INFO - Iter [54900/160000] lr: 3.941e-05, eta: 9:56:38, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1476, decode.acc_seg: 94.3260, loss: 0.1476 2023-01-06 04:31:53,320 - mmseg - INFO - Iter [54950/160000] lr: 3.939e-05, eta: 9:56:20, time: 0.332, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1520, decode.acc_seg: 94.1684, loss: 0.1520 2023-01-06 04:32:09,514 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 04:32:09,515 - mmseg - INFO - Iter [55000/160000] lr: 3.938e-05, eta: 9:56:01, time: 0.324, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1436, decode.acc_seg: 94.3524, loss: 0.1436 2023-01-06 04:32:25,629 - mmseg - INFO - Iter [55050/160000] lr: 3.936e-05, eta: 9:55:43, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1514, decode.acc_seg: 94.0919, loss: 0.1514 2023-01-06 04:32:44,148 - mmseg - INFO - Iter [55100/160000] lr: 3.934e-05, eta: 9:55:28, time: 0.370, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1370, decode.acc_seg: 94.5841, loss: 0.1370 2023-01-06 04:33:00,528 - mmseg - INFO - Iter [55150/160000] lr: 3.932e-05, eta: 9:55:10, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1408, decode.acc_seg: 94.5189, loss: 0.1408 2023-01-06 04:33:17,252 - mmseg - INFO - Iter [55200/160000] lr: 3.930e-05, eta: 9:54:53, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1289, decode.acc_seg: 94.7311, loss: 0.1289 2023-01-06 04:33:33,970 - mmseg - INFO - Iter [55250/160000] lr: 3.928e-05, eta: 9:54:35, time: 0.335, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1456, decode.acc_seg: 94.2763, loss: 0.1456 2023-01-06 04:33:50,676 - mmseg - INFO - Iter [55300/160000] lr: 3.926e-05, eta: 9:54:17, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1409, decode.acc_seg: 94.4421, loss: 0.1409 2023-01-06 04:34:07,138 - mmseg - INFO - Iter [55350/160000] lr: 3.924e-05, eta: 9:53:59, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1408, decode.acc_seg: 94.4231, loss: 0.1408 2023-01-06 04:34:23,725 - mmseg - INFO - Iter [55400/160000] lr: 3.923e-05, eta: 9:53:41, time: 0.332, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1385, decode.acc_seg: 94.5749, loss: 0.1385 2023-01-06 04:34:42,771 - mmseg - INFO - Iter [55450/160000] lr: 3.921e-05, eta: 9:53:28, time: 0.381, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1385, decode.acc_seg: 94.5720, loss: 0.1385 2023-01-06 04:34:59,386 - mmseg - INFO - Iter [55500/160000] lr: 3.919e-05, eta: 9:53:10, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1399, decode.acc_seg: 94.4740, loss: 0.1399 2023-01-06 04:35:15,757 - mmseg - INFO - Iter [55550/160000] lr: 3.917e-05, eta: 9:52:52, time: 0.328, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1484, decode.acc_seg: 94.3215, loss: 0.1484 2023-01-06 04:35:31,891 - mmseg - INFO - Iter [55600/160000] lr: 3.915e-05, eta: 9:52:33, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1349, decode.acc_seg: 94.7027, loss: 0.1349 2023-01-06 04:35:48,261 - mmseg - INFO - Iter [55650/160000] lr: 3.913e-05, eta: 9:52:15, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1518, decode.acc_seg: 94.1961, loss: 0.1518 2023-01-06 04:36:04,322 - mmseg - INFO - Iter [55700/160000] lr: 3.911e-05, eta: 9:51:56, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1463, decode.acc_seg: 94.2272, loss: 0.1463 2023-01-06 04:36:20,517 - mmseg - INFO - Iter [55750/160000] lr: 3.909e-05, eta: 9:51:38, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1314, decode.acc_seg: 94.6810, loss: 0.1314 2023-01-06 04:36:37,030 - mmseg - INFO - Iter [55800/160000] lr: 3.908e-05, eta: 9:51:20, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1546, decode.acc_seg: 94.1113, loss: 0.1546 2023-01-06 04:36:55,651 - mmseg - INFO - Iter [55850/160000] lr: 3.906e-05, eta: 9:51:06, time: 0.372, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1415, decode.acc_seg: 94.4110, loss: 0.1415 2023-01-06 04:37:11,973 - mmseg - INFO - Iter [55900/160000] lr: 3.904e-05, eta: 9:50:47, time: 0.327, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1484, decode.acc_seg: 94.2487, loss: 0.1484 2023-01-06 04:37:28,244 - mmseg - INFO - Iter [55950/160000] lr: 3.902e-05, eta: 9:50:29, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1399, decode.acc_seg: 94.7390, loss: 0.1399 2023-01-06 04:37:44,719 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 04:37:44,720 - mmseg - INFO - Iter [56000/160000] lr: 3.900e-05, eta: 9:50:11, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1291, decode.acc_seg: 94.7874, loss: 0.1291 2023-01-06 04:38:01,594 - mmseg - INFO - Iter [56050/160000] lr: 3.898e-05, eta: 9:49:54, time: 0.338, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1409, decode.acc_seg: 94.3903, loss: 0.1409 2023-01-06 04:38:18,078 - mmseg - INFO - Iter [56100/160000] lr: 3.896e-05, eta: 9:49:36, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1298, decode.acc_seg: 94.7549, loss: 0.1298 2023-01-06 04:38:34,075 - mmseg - INFO - Iter [56150/160000] lr: 3.894e-05, eta: 9:49:17, time: 0.320, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1387, decode.acc_seg: 94.5897, loss: 0.1387 2023-01-06 04:38:52,887 - mmseg - INFO - Iter [56200/160000] lr: 3.893e-05, eta: 9:49:03, time: 0.376, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1390, decode.acc_seg: 94.5411, loss: 0.1390 2023-01-06 04:39:09,324 - mmseg - INFO - Iter [56250/160000] lr: 3.891e-05, eta: 9:48:45, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1402, decode.acc_seg: 94.2485, loss: 0.1402 2023-01-06 04:39:25,584 - mmseg - INFO - Iter [56300/160000] lr: 3.889e-05, eta: 9:48:26, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1367, decode.acc_seg: 94.7131, loss: 0.1367 2023-01-06 04:39:42,367 - mmseg - INFO - Iter [56350/160000] lr: 3.887e-05, eta: 9:48:09, time: 0.335, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1417, decode.acc_seg: 94.3644, loss: 0.1417 2023-01-06 04:39:59,173 - mmseg - INFO - Iter [56400/160000] lr: 3.885e-05, eta: 9:47:51, time: 0.336, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1337, decode.acc_seg: 94.7341, loss: 0.1337 2023-01-06 04:40:15,676 - mmseg - INFO - Iter [56450/160000] lr: 3.883e-05, eta: 9:47:33, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1349, decode.acc_seg: 94.6942, loss: 0.1349 2023-01-06 04:40:32,735 - mmseg - INFO - Iter [56500/160000] lr: 3.881e-05, eta: 9:47:17, time: 0.342, data_time: 0.022, memory: 8466, decode.loss_ce: 0.1367, decode.acc_seg: 94.6739, loss: 0.1367 2023-01-06 04:40:51,469 - mmseg - INFO - Iter [56550/160000] lr: 3.879e-05, eta: 9:47:03, time: 0.375, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1375, decode.acc_seg: 94.5975, loss: 0.1375 2023-01-06 04:41:07,799 - mmseg - INFO - Iter [56600/160000] lr: 3.878e-05, eta: 9:46:44, time: 0.326, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1324, decode.acc_seg: 94.9052, loss: 0.1324 2023-01-06 04:41:24,008 - mmseg - INFO - Iter [56650/160000] lr: 3.876e-05, eta: 9:46:26, time: 0.325, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1333, decode.acc_seg: 94.6505, loss: 0.1333 2023-01-06 04:41:40,034 - mmseg - INFO - Iter [56700/160000] lr: 3.874e-05, eta: 9:46:07, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1415, decode.acc_seg: 94.4858, loss: 0.1415 2023-01-06 04:41:57,306 - mmseg - INFO - Iter [56750/160000] lr: 3.872e-05, eta: 9:45:50, time: 0.345, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1364, decode.acc_seg: 94.5600, loss: 0.1364 2023-01-06 04:42:14,169 - mmseg - INFO - Iter [56800/160000] lr: 3.870e-05, eta: 9:45:33, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1340, decode.acc_seg: 94.6319, loss: 0.1340 2023-01-06 04:42:30,879 - mmseg - INFO - Iter [56850/160000] lr: 3.868e-05, eta: 9:45:16, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1478, decode.acc_seg: 94.2170, loss: 0.1478 2023-01-06 04:42:47,501 - mmseg - INFO - Iter [56900/160000] lr: 3.866e-05, eta: 9:44:58, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1514, decode.acc_seg: 94.0937, loss: 0.1514 2023-01-06 04:43:06,200 - mmseg - INFO - Iter [56950/160000] lr: 3.864e-05, eta: 9:44:44, time: 0.374, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1416, decode.acc_seg: 94.4588, loss: 0.1416 2023-01-06 04:43:22,509 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 04:43:22,510 - mmseg - INFO - Iter [57000/160000] lr: 3.863e-05, eta: 9:44:25, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1344, decode.acc_seg: 94.7280, loss: 0.1344 2023-01-06 04:43:39,231 - mmseg - INFO - Iter [57050/160000] lr: 3.861e-05, eta: 9:44:08, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1364, decode.acc_seg: 94.6093, loss: 0.1364 2023-01-06 04:43:55,403 - mmseg - INFO - Iter [57100/160000] lr: 3.859e-05, eta: 9:43:49, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1359, decode.acc_seg: 94.5512, loss: 0.1359 2023-01-06 04:44:11,876 - mmseg - INFO - Iter [57150/160000] lr: 3.857e-05, eta: 9:43:31, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1504, decode.acc_seg: 94.0914, loss: 0.1504 2023-01-06 04:44:28,412 - mmseg - INFO - Iter [57200/160000] lr: 3.855e-05, eta: 9:43:13, time: 0.331, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1293, decode.acc_seg: 94.7723, loss: 0.1293 2023-01-06 04:44:44,456 - mmseg - INFO - Iter [57250/160000] lr: 3.853e-05, eta: 9:42:55, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1299, decode.acc_seg: 94.9030, loss: 0.1299 2023-01-06 04:45:02,836 - mmseg - INFO - Iter [57300/160000] lr: 3.851e-05, eta: 9:42:40, time: 0.368, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1339, decode.acc_seg: 94.7625, loss: 0.1339 2023-01-06 04:45:19,426 - mmseg - INFO - Iter [57350/160000] lr: 3.849e-05, eta: 9:42:22, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1236, decode.acc_seg: 95.1961, loss: 0.1236 2023-01-06 04:45:36,308 - mmseg - INFO - Iter [57400/160000] lr: 3.848e-05, eta: 9:42:05, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1410, decode.acc_seg: 94.5867, loss: 0.1410 2023-01-06 04:45:52,904 - mmseg - INFO - Iter [57450/160000] lr: 3.846e-05, eta: 9:41:47, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1341, decode.acc_seg: 94.6694, loss: 0.1341 2023-01-06 04:46:09,446 - mmseg - INFO - Iter [57500/160000] lr: 3.844e-05, eta: 9:41:29, time: 0.331, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1359, decode.acc_seg: 94.4761, loss: 0.1359 2023-01-06 04:46:25,508 - mmseg - INFO - Iter [57550/160000] lr: 3.842e-05, eta: 9:41:11, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1390, decode.acc_seg: 94.4300, loss: 0.1390 2023-01-06 04:46:42,480 - mmseg - INFO - Iter [57600/160000] lr: 3.840e-05, eta: 9:40:54, time: 0.339, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1285, decode.acc_seg: 94.9041, loss: 0.1285 2023-01-06 04:46:58,605 - mmseg - INFO - Iter [57650/160000] lr: 3.838e-05, eta: 9:40:35, time: 0.323, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1324, decode.acc_seg: 94.6254, loss: 0.1324 2023-01-06 04:47:17,948 - mmseg - INFO - Iter [57700/160000] lr: 3.836e-05, eta: 9:40:22, time: 0.386, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1251, decode.acc_seg: 94.9055, loss: 0.1251 2023-01-06 04:47:34,284 - mmseg - INFO - Iter [57750/160000] lr: 3.834e-05, eta: 9:40:04, time: 0.327, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1408, decode.acc_seg: 94.4444, loss: 0.1408 2023-01-06 04:47:50,823 - mmseg - INFO - Iter [57800/160000] lr: 3.833e-05, eta: 9:39:46, time: 0.331, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1469, decode.acc_seg: 94.3883, loss: 0.1469 2023-01-06 04:48:07,380 - mmseg - INFO - Iter [57850/160000] lr: 3.831e-05, eta: 9:39:28, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1435, decode.acc_seg: 94.4798, loss: 0.1435 2023-01-06 04:48:24,190 - mmseg - INFO - Iter [57900/160000] lr: 3.829e-05, eta: 9:39:11, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1443, decode.acc_seg: 94.3043, loss: 0.1443 2023-01-06 04:48:40,728 - mmseg - INFO - Iter [57950/160000] lr: 3.827e-05, eta: 9:38:53, time: 0.331, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1407, decode.acc_seg: 94.4810, loss: 0.1407 2023-01-06 04:48:56,881 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 04:48:56,882 - mmseg - INFO - Iter [58000/160000] lr: 3.825e-05, eta: 9:38:34, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1404, decode.acc_seg: 94.4741, loss: 0.1404 2023-01-06 04:49:15,453 - mmseg - INFO - Iter [58050/160000] lr: 3.823e-05, eta: 9:38:20, time: 0.371, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1338, decode.acc_seg: 94.7123, loss: 0.1338 2023-01-06 04:49:32,054 - mmseg - INFO - Iter [58100/160000] lr: 3.821e-05, eta: 9:38:02, time: 0.332, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1498, decode.acc_seg: 94.2945, loss: 0.1498 2023-01-06 04:49:48,690 - mmseg - INFO - Iter [58150/160000] lr: 3.819e-05, eta: 9:37:45, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1405, decode.acc_seg: 94.5465, loss: 0.1405 2023-01-06 04:50:05,292 - mmseg - INFO - Iter [58200/160000] lr: 3.818e-05, eta: 9:37:27, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1339, decode.acc_seg: 94.7739, loss: 0.1339 2023-01-06 04:50:21,639 - mmseg - INFO - Iter [58250/160000] lr: 3.816e-05, eta: 9:37:09, time: 0.327, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1402, decode.acc_seg: 94.7050, loss: 0.1402 2023-01-06 04:50:37,986 - mmseg - INFO - Iter [58300/160000] lr: 3.814e-05, eta: 9:36:50, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1388, decode.acc_seg: 94.5212, loss: 0.1388 2023-01-06 04:50:54,575 - mmseg - INFO - Iter [58350/160000] lr: 3.812e-05, eta: 9:36:33, time: 0.332, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1413, decode.acc_seg: 94.6266, loss: 0.1413 2023-01-06 04:51:11,036 - mmseg - INFO - Iter [58400/160000] lr: 3.810e-05, eta: 9:36:15, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1329, decode.acc_seg: 94.7539, loss: 0.1329 2023-01-06 04:51:29,547 - mmseg - INFO - Iter [58450/160000] lr: 3.808e-05, eta: 9:36:00, time: 0.370, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1350, decode.acc_seg: 94.7569, loss: 0.1350 2023-01-06 04:51:45,651 - mmseg - INFO - Iter [58500/160000] lr: 3.806e-05, eta: 9:35:42, time: 0.322, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1479, decode.acc_seg: 94.2740, loss: 0.1479 2023-01-06 04:52:01,942 - mmseg - INFO - Iter [58550/160000] lr: 3.804e-05, eta: 9:35:23, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1294, decode.acc_seg: 94.6719, loss: 0.1294 2023-01-06 04:52:18,149 - mmseg - INFO - Iter [58600/160000] lr: 3.803e-05, eta: 9:35:05, time: 0.324, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1347, decode.acc_seg: 94.6215, loss: 0.1347 2023-01-06 04:52:34,686 - mmseg - INFO - Iter [58650/160000] lr: 3.801e-05, eta: 9:34:47, time: 0.331, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1311, decode.acc_seg: 94.6606, loss: 0.1311 2023-01-06 04:52:51,013 - mmseg - INFO - Iter [58700/160000] lr: 3.799e-05, eta: 9:34:29, time: 0.327, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1350, decode.acc_seg: 94.6560, loss: 0.1350 2023-01-06 04:53:07,574 - mmseg - INFO - Iter [58750/160000] lr: 3.797e-05, eta: 9:34:11, time: 0.331, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1272, decode.acc_seg: 94.9339, loss: 0.1272 2023-01-06 04:53:26,377 - mmseg - INFO - Iter [58800/160000] lr: 3.795e-05, eta: 9:33:57, time: 0.376, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1364, decode.acc_seg: 94.7224, loss: 0.1364 2023-01-06 04:53:43,165 - mmseg - INFO - Iter [58850/160000] lr: 3.793e-05, eta: 9:33:40, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1279, decode.acc_seg: 94.8151, loss: 0.1279 2023-01-06 04:53:59,453 - mmseg - INFO - Iter [58900/160000] lr: 3.791e-05, eta: 9:33:22, time: 0.326, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1381, decode.acc_seg: 94.6631, loss: 0.1381 2023-01-06 04:54:15,900 - mmseg - INFO - Iter [58950/160000] lr: 3.789e-05, eta: 9:33:04, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1389, decode.acc_seg: 94.6009, loss: 0.1389 2023-01-06 04:54:32,070 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 04:54:32,070 - mmseg - INFO - Iter [59000/160000] lr: 3.788e-05, eta: 9:32:45, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1352, decode.acc_seg: 94.5129, loss: 0.1352 2023-01-06 04:54:48,735 - mmseg - INFO - Iter [59050/160000] lr: 3.786e-05, eta: 9:32:28, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1363, decode.acc_seg: 94.6593, loss: 0.1363 2023-01-06 04:55:05,147 - mmseg - INFO - Iter [59100/160000] lr: 3.784e-05, eta: 9:32:09, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1477, decode.acc_seg: 94.2217, loss: 0.1477 2023-01-06 04:55:23,887 - mmseg - INFO - Iter [59150/160000] lr: 3.782e-05, eta: 9:31:55, time: 0.375, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1348, decode.acc_seg: 94.6160, loss: 0.1348 2023-01-06 04:55:40,378 - mmseg - INFO - Iter [59200/160000] lr: 3.780e-05, eta: 9:31:38, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1352, decode.acc_seg: 94.5878, loss: 0.1352 2023-01-06 04:55:56,844 - mmseg - INFO - Iter [59250/160000] lr: 3.778e-05, eta: 9:31:20, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1385, decode.acc_seg: 94.4691, loss: 0.1385 2023-01-06 04:56:13,007 - mmseg - INFO - Iter [59300/160000] lr: 3.776e-05, eta: 9:31:01, time: 0.324, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1443, decode.acc_seg: 94.3422, loss: 0.1443 2023-01-06 04:56:29,346 - mmseg - INFO - Iter [59350/160000] lr: 3.774e-05, eta: 9:30:43, time: 0.327, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1449, decode.acc_seg: 94.3708, loss: 0.1449 2023-01-06 04:56:45,880 - mmseg - INFO - Iter [59400/160000] lr: 3.773e-05, eta: 9:30:25, time: 0.331, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1379, decode.acc_seg: 94.6028, loss: 0.1379 2023-01-06 04:57:02,286 - mmseg - INFO - Iter [59450/160000] lr: 3.771e-05, eta: 9:30:07, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1319, decode.acc_seg: 94.5528, loss: 0.1319 2023-01-06 04:57:19,183 - mmseg - INFO - Iter [59500/160000] lr: 3.769e-05, eta: 9:29:50, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1390, decode.acc_seg: 94.4776, loss: 0.1390 2023-01-06 04:57:38,116 - mmseg - INFO - Iter [59550/160000] lr: 3.767e-05, eta: 9:29:36, time: 0.379, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1461, decode.acc_seg: 94.5673, loss: 0.1461 2023-01-06 04:57:54,304 - mmseg - INFO - Iter [59600/160000] lr: 3.765e-05, eta: 9:29:18, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1343, decode.acc_seg: 94.6590, loss: 0.1343 2023-01-06 04:58:11,049 - mmseg - INFO - Iter [59650/160000] lr: 3.763e-05, eta: 9:29:00, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1321, decode.acc_seg: 94.7400, loss: 0.1321 2023-01-06 04:58:27,529 - mmseg - INFO - Iter [59700/160000] lr: 3.761e-05, eta: 9:28:42, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1487, decode.acc_seg: 94.1889, loss: 0.1487 2023-01-06 04:58:44,190 - mmseg - INFO - Iter [59750/160000] lr: 3.759e-05, eta: 9:28:25, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1295, decode.acc_seg: 94.8771, loss: 0.1295 2023-01-06 04:59:00,641 - mmseg - INFO - Iter [59800/160000] lr: 3.758e-05, eta: 9:28:07, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1475, decode.acc_seg: 94.3200, loss: 0.1475 2023-01-06 04:59:17,359 - mmseg - INFO - Iter [59850/160000] lr: 3.756e-05, eta: 9:27:49, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1330, decode.acc_seg: 94.6634, loss: 0.1330 2023-01-06 04:59:35,698 - mmseg - INFO - Iter [59900/160000] lr: 3.754e-05, eta: 9:27:35, time: 0.367, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1428, decode.acc_seg: 94.5350, loss: 0.1428 2023-01-06 04:59:51,884 - mmseg - INFO - Iter [59950/160000] lr: 3.752e-05, eta: 9:27:16, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1314, decode.acc_seg: 94.7935, loss: 0.1314 2023-01-06 05:00:08,227 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 05:00:08,228 - mmseg - INFO - Iter [60000/160000] lr: 3.750e-05, eta: 9:26:58, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1409, decode.acc_seg: 94.5244, loss: 0.1409 2023-01-06 05:00:24,854 - mmseg - INFO - Iter [60050/160000] lr: 3.748e-05, eta: 9:26:40, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1359, decode.acc_seg: 94.6032, loss: 0.1359 2023-01-06 05:00:41,388 - mmseg - INFO - Iter [60100/160000] lr: 3.746e-05, eta: 9:26:23, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1335, decode.acc_seg: 94.7833, loss: 0.1335 2023-01-06 05:00:58,327 - mmseg - INFO - Iter [60150/160000] lr: 3.744e-05, eta: 9:26:05, time: 0.339, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1325, decode.acc_seg: 94.6242, loss: 0.1325 2023-01-06 05:01:14,585 - mmseg - INFO - Iter [60200/160000] lr: 3.743e-05, eta: 9:25:47, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1307, decode.acc_seg: 94.8151, loss: 0.1307 2023-01-06 05:01:31,023 - mmseg - INFO - Iter [60250/160000] lr: 3.741e-05, eta: 9:25:29, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1254, decode.acc_seg: 94.9780, loss: 0.1254 2023-01-06 05:01:50,296 - mmseg - INFO - Iter [60300/160000] lr: 3.739e-05, eta: 9:25:16, time: 0.385, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1262, decode.acc_seg: 94.8274, loss: 0.1262 2023-01-06 05:02:07,134 - mmseg - INFO - Iter [60350/160000] lr: 3.737e-05, eta: 9:24:59, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1279, decode.acc_seg: 95.0541, loss: 0.1279 2023-01-06 05:02:23,820 - mmseg - INFO - Iter [60400/160000] lr: 3.735e-05, eta: 9:24:41, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1334, decode.acc_seg: 94.7995, loss: 0.1334 2023-01-06 05:02:40,076 - mmseg - INFO - Iter [60450/160000] lr: 3.733e-05, eta: 9:24:23, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1362, decode.acc_seg: 94.6480, loss: 0.1362 2023-01-06 05:02:56,692 - mmseg - INFO - Iter [60500/160000] lr: 3.731e-05, eta: 9:24:05, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1268, decode.acc_seg: 94.9265, loss: 0.1268 2023-01-06 05:03:13,052 - mmseg - INFO - Iter [60550/160000] lr: 3.729e-05, eta: 9:23:47, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1402, decode.acc_seg: 94.4467, loss: 0.1402 2023-01-06 05:03:29,445 - mmseg - INFO - Iter [60600/160000] lr: 3.728e-05, eta: 9:23:29, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1438, decode.acc_seg: 94.4880, loss: 0.1438 2023-01-06 05:03:47,819 - mmseg - INFO - Iter [60650/160000] lr: 3.726e-05, eta: 9:23:14, time: 0.368, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1354, decode.acc_seg: 94.8078, loss: 0.1354 2023-01-06 05:04:04,400 - mmseg - INFO - Iter [60700/160000] lr: 3.724e-05, eta: 9:22:57, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1467, decode.acc_seg: 94.3382, loss: 0.1467 2023-01-06 05:04:20,664 - mmseg - INFO - Iter [60750/160000] lr: 3.722e-05, eta: 9:22:38, time: 0.326, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1320, decode.acc_seg: 94.7414, loss: 0.1320 2023-01-06 05:04:37,324 - mmseg - INFO - Iter [60800/160000] lr: 3.720e-05, eta: 9:22:21, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1311, decode.acc_seg: 94.7265, loss: 0.1311 2023-01-06 05:04:53,887 - mmseg - INFO - Iter [60850/160000] lr: 3.718e-05, eta: 9:22:03, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1320, decode.acc_seg: 94.5771, loss: 0.1320 2023-01-06 05:05:09,973 - mmseg - INFO - Iter [60900/160000] lr: 3.716e-05, eta: 9:21:45, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1218, decode.acc_seg: 95.1780, loss: 0.1218 2023-01-06 05:05:26,384 - mmseg - INFO - Iter [60950/160000] lr: 3.714e-05, eta: 9:21:27, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1367, decode.acc_seg: 94.6369, loss: 0.1367 2023-01-06 05:05:43,411 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 05:05:43,412 - mmseg - INFO - Iter [61000/160000] lr: 3.713e-05, eta: 9:21:10, time: 0.341, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1522, decode.acc_seg: 94.1641, loss: 0.1522 2023-01-06 05:06:02,912 - mmseg - INFO - Iter [61050/160000] lr: 3.711e-05, eta: 9:20:57, time: 0.390, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1340, decode.acc_seg: 94.6922, loss: 0.1340 2023-01-06 05:06:19,640 - mmseg - INFO - Iter [61100/160000] lr: 3.709e-05, eta: 9:20:39, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1307, decode.acc_seg: 94.8376, loss: 0.1307 2023-01-06 05:06:36,335 - mmseg - INFO - Iter [61150/160000] lr: 3.707e-05, eta: 9:20:22, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1214, decode.acc_seg: 95.0938, loss: 0.1214 2023-01-06 05:06:53,010 - mmseg - INFO - Iter [61200/160000] lr: 3.705e-05, eta: 9:20:04, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1242, decode.acc_seg: 95.0243, loss: 0.1242 2023-01-06 05:07:09,833 - mmseg - INFO - Iter [61250/160000] lr: 3.703e-05, eta: 9:19:47, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1236, decode.acc_seg: 95.1548, loss: 0.1236 2023-01-06 05:07:26,351 - mmseg - INFO - Iter [61300/160000] lr: 3.701e-05, eta: 9:19:29, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1292, decode.acc_seg: 94.8035, loss: 0.1292 2023-01-06 05:07:42,857 - mmseg - INFO - Iter [61350/160000] lr: 3.699e-05, eta: 9:19:11, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1464, decode.acc_seg: 94.3606, loss: 0.1464 2023-01-06 05:08:01,400 - mmseg - INFO - Iter [61400/160000] lr: 3.698e-05, eta: 9:18:57, time: 0.371, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1406, decode.acc_seg: 94.4957, loss: 0.1406 2023-01-06 05:08:18,131 - mmseg - INFO - Iter [61450/160000] lr: 3.696e-05, eta: 9:18:39, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1346, decode.acc_seg: 94.7930, loss: 0.1346 2023-01-06 05:08:34,831 - mmseg - INFO - Iter [61500/160000] lr: 3.694e-05, eta: 9:18:22, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1379, decode.acc_seg: 94.5881, loss: 0.1379 2023-01-06 05:08:51,001 - mmseg - INFO - Iter [61550/160000] lr: 3.692e-05, eta: 9:18:04, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1245, decode.acc_seg: 94.9256, loss: 0.1245 2023-01-06 05:09:07,631 - mmseg - INFO - Iter [61600/160000] lr: 3.690e-05, eta: 9:17:46, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1303, decode.acc_seg: 94.7979, loss: 0.1303 2023-01-06 05:09:24,172 - mmseg - INFO - Iter [61650/160000] lr: 3.688e-05, eta: 9:17:28, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1387, decode.acc_seg: 94.5834, loss: 0.1387 2023-01-06 05:09:40,494 - mmseg - INFO - Iter [61700/160000] lr: 3.686e-05, eta: 9:17:10, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1658, decode.acc_seg: 93.6648, loss: 0.1658 2023-01-06 05:09:56,994 - mmseg - INFO - Iter [61750/160000] lr: 3.684e-05, eta: 9:16:52, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1503, decode.acc_seg: 94.1701, loss: 0.1503 2023-01-06 05:10:15,983 - mmseg - INFO - Iter [61800/160000] lr: 3.683e-05, eta: 9:16:38, time: 0.380, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1421, decode.acc_seg: 94.4016, loss: 0.1421 2023-01-06 05:10:32,562 - mmseg - INFO - Iter [61850/160000] lr: 3.681e-05, eta: 9:16:21, time: 0.332, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1425, decode.acc_seg: 94.4010, loss: 0.1425 2023-01-06 05:10:48,895 - mmseg - INFO - Iter [61900/160000] lr: 3.679e-05, eta: 9:16:03, time: 0.327, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1376, decode.acc_seg: 94.6695, loss: 0.1376 2023-01-06 05:11:05,809 - mmseg - INFO - Iter [61950/160000] lr: 3.677e-05, eta: 9:15:46, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1365, decode.acc_seg: 94.5473, loss: 0.1365 2023-01-06 05:11:22,520 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 05:11:22,520 - mmseg - INFO - Iter [62000/160000] lr: 3.675e-05, eta: 9:15:28, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1336, decode.acc_seg: 94.9300, loss: 0.1336 2023-01-06 05:11:39,050 - mmseg - INFO - Iter [62050/160000] lr: 3.673e-05, eta: 9:15:10, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1336, decode.acc_seg: 94.6843, loss: 0.1336 2023-01-06 05:11:55,140 - mmseg - INFO - Iter [62100/160000] lr: 3.671e-05, eta: 9:14:52, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1479, decode.acc_seg: 94.3025, loss: 0.1479 2023-01-06 05:12:13,495 - mmseg - INFO - Iter [62150/160000] lr: 3.669e-05, eta: 9:14:37, time: 0.367, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1321, decode.acc_seg: 94.7734, loss: 0.1321 2023-01-06 05:12:29,635 - mmseg - INFO - Iter [62200/160000] lr: 3.668e-05, eta: 9:14:19, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1326, decode.acc_seg: 94.8931, loss: 0.1326 2023-01-06 05:12:46,561 - mmseg - INFO - Iter [62250/160000] lr: 3.666e-05, eta: 9:14:01, time: 0.339, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1396, decode.acc_seg: 94.6973, loss: 0.1396 2023-01-06 05:13:02,739 - mmseg - INFO - Iter [62300/160000] lr: 3.664e-05, eta: 9:13:43, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1353, decode.acc_seg: 94.6998, loss: 0.1353 2023-01-06 05:13:19,531 - mmseg - INFO - Iter [62350/160000] lr: 3.662e-05, eta: 9:13:26, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1358, decode.acc_seg: 94.7208, loss: 0.1358 2023-01-06 05:13:36,168 - mmseg - INFO - Iter [62400/160000] lr: 3.660e-05, eta: 9:13:08, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1298, decode.acc_seg: 94.8177, loss: 0.1298 2023-01-06 05:13:52,371 - mmseg - INFO - Iter [62450/160000] lr: 3.658e-05, eta: 9:12:50, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1466, decode.acc_seg: 94.3422, loss: 0.1466 2023-01-06 05:14:11,114 - mmseg - INFO - Iter [62500/160000] lr: 3.656e-05, eta: 9:12:36, time: 0.375, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1314, decode.acc_seg: 94.6606, loss: 0.1314 2023-01-06 05:14:27,626 - mmseg - INFO - Iter [62550/160000] lr: 3.654e-05, eta: 9:12:18, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1278, decode.acc_seg: 94.9486, loss: 0.1278 2023-01-06 05:14:44,386 - mmseg - INFO - Iter [62600/160000] lr: 3.653e-05, eta: 9:12:01, time: 0.335, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1284, decode.acc_seg: 94.8702, loss: 0.1284 2023-01-06 05:15:00,581 - mmseg - INFO - Iter [62650/160000] lr: 3.651e-05, eta: 9:11:42, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1503, decode.acc_seg: 94.2863, loss: 0.1503 2023-01-06 05:15:17,206 - mmseg - INFO - Iter [62700/160000] lr: 3.649e-05, eta: 9:11:25, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1351, decode.acc_seg: 94.6643, loss: 0.1351 2023-01-06 05:15:33,930 - mmseg - INFO - Iter [62750/160000] lr: 3.647e-05, eta: 9:11:07, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1286, decode.acc_seg: 94.8643, loss: 0.1286 2023-01-06 05:15:50,414 - mmseg - INFO - Iter [62800/160000] lr: 3.645e-05, eta: 9:10:49, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1280, decode.acc_seg: 94.9516, loss: 0.1280 2023-01-06 05:16:06,885 - mmseg - INFO - Iter [62850/160000] lr: 3.643e-05, eta: 9:10:32, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1365, decode.acc_seg: 94.6204, loss: 0.1365 2023-01-06 05:16:25,342 - mmseg - INFO - Iter [62900/160000] lr: 3.641e-05, eta: 9:10:17, time: 0.369, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1460, decode.acc_seg: 94.3796, loss: 0.1460 2023-01-06 05:16:41,489 - mmseg - INFO - Iter [62950/160000] lr: 3.639e-05, eta: 9:09:59, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1389, decode.acc_seg: 94.5451, loss: 0.1389 2023-01-06 05:16:58,093 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 05:16:58,094 - mmseg - INFO - Iter [63000/160000] lr: 3.638e-05, eta: 9:09:41, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1318, decode.acc_seg: 94.7921, loss: 0.1318 2023-01-06 05:17:14,302 - mmseg - INFO - Iter [63050/160000] lr: 3.636e-05, eta: 9:09:23, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1472, decode.acc_seg: 94.2006, loss: 0.1472 2023-01-06 05:17:30,879 - mmseg - INFO - Iter [63100/160000] lr: 3.634e-05, eta: 9:09:05, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1207, decode.acc_seg: 95.1781, loss: 0.1207 2023-01-06 05:17:47,187 - mmseg - INFO - Iter [63150/160000] lr: 3.632e-05, eta: 9:08:47, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1322, decode.acc_seg: 94.8159, loss: 0.1322 2023-01-06 05:18:03,361 - mmseg - INFO - Iter [63200/160000] lr: 3.630e-05, eta: 9:08:29, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1326, decode.acc_seg: 94.7692, loss: 0.1326 2023-01-06 05:18:21,978 - mmseg - INFO - Iter [63250/160000] lr: 3.628e-05, eta: 9:08:14, time: 0.372, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1372, decode.acc_seg: 94.5801, loss: 0.1372 2023-01-06 05:18:38,644 - mmseg - INFO - Iter [63300/160000] lr: 3.626e-05, eta: 9:07:57, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1434, decode.acc_seg: 94.4803, loss: 0.1434 2023-01-06 05:18:55,212 - mmseg - INFO - Iter [63350/160000] lr: 3.624e-05, eta: 9:07:39, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1339, decode.acc_seg: 94.6398, loss: 0.1339 2023-01-06 05:19:11,808 - mmseg - INFO - Iter [63400/160000] lr: 3.623e-05, eta: 9:07:21, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1301, decode.acc_seg: 94.8307, loss: 0.1301 2023-01-06 05:19:28,414 - mmseg - INFO - Iter [63450/160000] lr: 3.621e-05, eta: 9:07:04, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1242, decode.acc_seg: 95.1028, loss: 0.1242 2023-01-06 05:19:44,750 - mmseg - INFO - Iter [63500/160000] lr: 3.619e-05, eta: 9:06:46, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1292, decode.acc_seg: 94.8479, loss: 0.1292 2023-01-06 05:20:01,382 - mmseg - INFO - Iter [63550/160000] lr: 3.617e-05, eta: 9:06:28, time: 0.333, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1348, decode.acc_seg: 94.7386, loss: 0.1348 2023-01-06 05:20:17,728 - mmseg - INFO - Iter [63600/160000] lr: 3.615e-05, eta: 9:06:10, time: 0.327, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1230, decode.acc_seg: 94.9734, loss: 0.1230 2023-01-06 05:20:36,075 - mmseg - INFO - Iter [63650/160000] lr: 3.613e-05, eta: 9:05:55, time: 0.367, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1344, decode.acc_seg: 94.7776, loss: 0.1344 2023-01-06 05:20:52,131 - mmseg - INFO - Iter [63700/160000] lr: 3.611e-05, eta: 9:05:37, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1308, decode.acc_seg: 94.8246, loss: 0.1308 2023-01-06 05:21:08,853 - mmseg - INFO - Iter [63750/160000] lr: 3.609e-05, eta: 9:05:20, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1197, decode.acc_seg: 95.1378, loss: 0.1197 2023-01-06 05:21:25,136 - mmseg - INFO - Iter [63800/160000] lr: 3.608e-05, eta: 9:05:01, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1347, decode.acc_seg: 94.8841, loss: 0.1347 2023-01-06 05:21:41,816 - mmseg - INFO - Iter [63850/160000] lr: 3.606e-05, eta: 9:04:44, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1301, decode.acc_seg: 94.7747, loss: 0.1301 2023-01-06 05:21:58,283 - mmseg - INFO - Iter [63900/160000] lr: 3.604e-05, eta: 9:04:26, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1244, decode.acc_seg: 94.9784, loss: 0.1244 2023-01-06 05:22:14,552 - mmseg - INFO - Iter [63950/160000] lr: 3.602e-05, eta: 9:04:08, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1288, decode.acc_seg: 94.8810, loss: 0.1288 2023-01-06 05:22:32,969 - mmseg - INFO - Saving checkpoint at 64000 iterations 2023-01-06 05:22:35,916 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 05:22:35,916 - mmseg - INFO - Iter [64000/160000] lr: 3.600e-05, eta: 9:03:58, time: 0.428, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1297, decode.acc_seg: 94.9228, loss: 0.1297 2023-01-06 05:23:01,147 - mmseg - INFO - per class results: 2023-01-06 05:23:01,150 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 97.39 | 98.32 | | sidewalk | 79.98 | 91.37 | | building | 90.18 | 95.53 | | wall | 45.29 | 52.47 | | fence | 47.19 | 59.3 | | pole | 56.24 | 63.95 | | traffic light | 57.73 | 64.5 | | traffic sign | 67.18 | 71.0 | | vegetation | 91.11 | 96.24 | | terrain | 56.71 | 67.03 | | sky | 92.99 | 98.66 | | person | 73.46 | 90.06 | | rider | 43.95 | 50.74 | | car | 91.46 | 97.43 | | truck | 46.07 | 53.76 | | bus | 53.84 | 70.88 | | train | 23.74 | 26.53 | | motorcycle | 40.33 | 47.68 | | bicycle | 69.78 | 82.54 | +---------------+-------+-------+ 2023-01-06 05:23:01,150 - mmseg - INFO - Summary: 2023-01-06 05:23:01,150 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 94.57 | 64.45 | 72.52 | +-------+-------+-------+ 2023-01-06 05:23:01,151 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 05:23:01,151 - mmseg - INFO - Iter(val) [63] aAcc: 0.9457, mIoU: 0.6445, mAcc: 0.7252, IoU.road: 0.9739, IoU.sidewalk: 0.7998, IoU.building: 0.9018, IoU.wall: 0.4529, IoU.fence: 0.4719, IoU.pole: 0.5624, IoU.traffic light: 0.5773, IoU.traffic sign: 0.6718, IoU.vegetation: 0.9111, IoU.terrain: 0.5671, IoU.sky: 0.9299, IoU.person: 0.7346, IoU.rider: 0.4395, IoU.car: 0.9146, IoU.truck: 0.4607, IoU.bus: 0.5384, IoU.train: 0.2374, IoU.motorcycle: 0.4033, IoU.bicycle: 0.6978, Acc.road: 0.9832, Acc.sidewalk: 0.9137, Acc.building: 0.9553, Acc.wall: 0.5247, Acc.fence: 0.5930, Acc.pole: 0.6395, Acc.traffic light: 0.6450, Acc.traffic sign: 0.7100, Acc.vegetation: 0.9624, Acc.terrain: 0.6703, Acc.sky: 0.9866, Acc.person: 0.9006, Acc.rider: 0.5074, Acc.car: 0.9743, Acc.truck: 0.5376, Acc.bus: 0.7088, Acc.train: 0.2653, Acc.motorcycle: 0.4768, Acc.bicycle: 0.8254 2023-01-06 05:23:17,561 - mmseg - INFO - Iter [64050/160000] lr: 3.598e-05, eta: 9:04:18, time: 0.832, data_time: 0.515, memory: 8466, decode.loss_ce: 0.1274, decode.acc_seg: 94.9491, loss: 0.1274 2023-01-06 05:23:33,878 - mmseg - INFO - Iter [64100/160000] lr: 3.596e-05, eta: 9:04:00, time: 0.327, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1383, decode.acc_seg: 94.6103, loss: 0.1383 2023-01-06 05:23:50,304 - mmseg - INFO - Iter [64150/160000] lr: 3.594e-05, eta: 9:03:42, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1353, decode.acc_seg: 94.7084, loss: 0.1353 2023-01-06 05:24:06,872 - mmseg - INFO - Iter [64200/160000] lr: 3.593e-05, eta: 9:03:24, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1300, decode.acc_seg: 94.8274, loss: 0.1300 2023-01-06 05:24:23,607 - mmseg - INFO - Iter [64250/160000] lr: 3.591e-05, eta: 9:03:06, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1293, decode.acc_seg: 94.7474, loss: 0.1293 2023-01-06 05:24:39,825 - mmseg - INFO - Iter [64300/160000] lr: 3.589e-05, eta: 9:02:48, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1399, decode.acc_seg: 94.3395, loss: 0.1399 2023-01-06 05:24:56,352 - mmseg - INFO - Iter [64350/160000] lr: 3.587e-05, eta: 9:02:31, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1379, decode.acc_seg: 94.5058, loss: 0.1379 2023-01-06 05:25:15,012 - mmseg - INFO - Iter [64400/160000] lr: 3.585e-05, eta: 9:02:16, time: 0.373, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1310, decode.acc_seg: 94.8357, loss: 0.1310 2023-01-06 05:25:31,587 - mmseg - INFO - Iter [64450/160000] lr: 3.583e-05, eta: 9:01:58, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1437, decode.acc_seg: 94.4862, loss: 0.1437 2023-01-06 05:25:48,369 - mmseg - INFO - Iter [64500/160000] lr: 3.581e-05, eta: 9:01:41, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1315, decode.acc_seg: 94.7734, loss: 0.1315 2023-01-06 05:26:05,090 - mmseg - INFO - Iter [64550/160000] lr: 3.579e-05, eta: 9:01:23, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1293, decode.acc_seg: 94.8659, loss: 0.1293 2023-01-06 05:26:21,663 - mmseg - INFO - Iter [64600/160000] lr: 3.578e-05, eta: 9:01:06, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1219, decode.acc_seg: 95.1797, loss: 0.1219 2023-01-06 05:26:37,938 - mmseg - INFO - Iter [64650/160000] lr: 3.576e-05, eta: 9:00:48, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1242, decode.acc_seg: 95.0336, loss: 0.1242 2023-01-06 05:26:54,349 - mmseg - INFO - Iter [64700/160000] lr: 3.574e-05, eta: 9:00:30, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1285, decode.acc_seg: 94.8314, loss: 0.1285 2023-01-06 05:27:13,187 - mmseg - INFO - Iter [64750/160000] lr: 3.572e-05, eta: 9:00:15, time: 0.377, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1341, decode.acc_seg: 94.7225, loss: 0.1341 2023-01-06 05:27:29,481 - mmseg - INFO - Iter [64800/160000] lr: 3.570e-05, eta: 8:59:57, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1336, decode.acc_seg: 94.7529, loss: 0.1336 2023-01-06 05:27:45,892 - mmseg - INFO - Iter [64850/160000] lr: 3.568e-05, eta: 8:59:39, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1305, decode.acc_seg: 94.8174, loss: 0.1305 2023-01-06 05:28:02,076 - mmseg - INFO - Iter [64900/160000] lr: 3.566e-05, eta: 8:59:21, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1184, decode.acc_seg: 95.2416, loss: 0.1184 2023-01-06 05:28:18,604 - mmseg - INFO - Iter [64950/160000] lr: 3.564e-05, eta: 8:59:03, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1206, decode.acc_seg: 95.1187, loss: 0.1206 2023-01-06 05:28:35,194 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 05:28:35,194 - mmseg - INFO - Iter [65000/160000] lr: 3.563e-05, eta: 8:58:46, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1345, decode.acc_seg: 94.7872, loss: 0.1345 2023-01-06 05:28:51,352 - mmseg - INFO - Iter [65050/160000] lr: 3.561e-05, eta: 8:58:28, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1496, decode.acc_seg: 94.0278, loss: 0.1496 2023-01-06 05:29:07,396 - mmseg - INFO - Iter [65100/160000] lr: 3.559e-05, eta: 8:58:09, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1476, decode.acc_seg: 94.3244, loss: 0.1476 2023-01-06 05:29:26,058 - mmseg - INFO - Iter [65150/160000] lr: 3.557e-05, eta: 8:57:55, time: 0.373, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1362, decode.acc_seg: 94.7397, loss: 0.1362 2023-01-06 05:29:42,444 - mmseg - INFO - Iter [65200/160000] lr: 3.555e-05, eta: 8:57:37, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1352, decode.acc_seg: 94.7161, loss: 0.1352 2023-01-06 05:29:59,159 - mmseg - INFO - Iter [65250/160000] lr: 3.553e-05, eta: 8:57:19, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1350, decode.acc_seg: 94.8003, loss: 0.1350 2023-01-06 05:30:16,065 - mmseg - INFO - Iter [65300/160000] lr: 3.551e-05, eta: 8:57:02, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1313, decode.acc_seg: 94.6380, loss: 0.1313 2023-01-06 05:30:32,397 - mmseg - INFO - Iter [65350/160000] lr: 3.549e-05, eta: 8:56:44, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1197, decode.acc_seg: 95.1934, loss: 0.1197 2023-01-06 05:30:48,494 - mmseg - INFO - Iter [65400/160000] lr: 3.548e-05, eta: 8:56:26, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1242, decode.acc_seg: 94.9932, loss: 0.1242 2023-01-06 05:31:05,003 - mmseg - INFO - Iter [65450/160000] lr: 3.546e-05, eta: 8:56:08, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1281, decode.acc_seg: 94.8742, loss: 0.1281 2023-01-06 05:31:23,268 - mmseg - INFO - Iter [65500/160000] lr: 3.544e-05, eta: 8:55:53, time: 0.365, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1321, decode.acc_seg: 94.6974, loss: 0.1321 2023-01-06 05:31:39,459 - mmseg - INFO - Iter [65550/160000] lr: 3.542e-05, eta: 8:55:35, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1279, decode.acc_seg: 94.9274, loss: 0.1279 2023-01-06 05:31:55,527 - mmseg - INFO - Iter [65600/160000] lr: 3.540e-05, eta: 8:55:16, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1315, decode.acc_seg: 94.8122, loss: 0.1315 2023-01-06 05:32:11,668 - mmseg - INFO - Iter [65650/160000] lr: 3.538e-05, eta: 8:54:58, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1337, decode.acc_seg: 94.7978, loss: 0.1337 2023-01-06 05:32:27,819 - mmseg - INFO - Iter [65700/160000] lr: 3.536e-05, eta: 8:54:40, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1363, decode.acc_seg: 94.6927, loss: 0.1363 2023-01-06 05:32:44,754 - mmseg - INFO - Iter [65750/160000] lr: 3.534e-05, eta: 8:54:23, time: 0.339, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1350, decode.acc_seg: 94.5639, loss: 0.1350 2023-01-06 05:33:01,433 - mmseg - INFO - Iter [65800/160000] lr: 3.533e-05, eta: 8:54:05, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1294, decode.acc_seg: 95.0957, loss: 0.1294 2023-01-06 05:33:20,450 - mmseg - INFO - Iter [65850/160000] lr: 3.531e-05, eta: 8:53:51, time: 0.381, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1357, decode.acc_seg: 94.5857, loss: 0.1357 2023-01-06 05:33:36,677 - mmseg - INFO - Iter [65900/160000] lr: 3.529e-05, eta: 8:53:33, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1254, decode.acc_seg: 94.9867, loss: 0.1254 2023-01-06 05:33:53,496 - mmseg - INFO - Iter [65950/160000] lr: 3.527e-05, eta: 8:53:16, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1468, decode.acc_seg: 94.5510, loss: 0.1468 2023-01-06 05:34:09,903 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 05:34:09,903 - mmseg - INFO - Iter [66000/160000] lr: 3.525e-05, eta: 8:52:58, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1550, decode.acc_seg: 94.2424, loss: 0.1550 2023-01-06 05:34:26,399 - mmseg - INFO - Iter [66050/160000] lr: 3.523e-05, eta: 8:52:40, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1542, decode.acc_seg: 94.1715, loss: 0.1542 2023-01-06 05:34:42,695 - mmseg - INFO - Iter [66100/160000] lr: 3.521e-05, eta: 8:52:22, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1514, decode.acc_seg: 94.1358, loss: 0.1514 2023-01-06 05:34:59,288 - mmseg - INFO - Iter [66150/160000] lr: 3.519e-05, eta: 8:52:04, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1493, decode.acc_seg: 94.2310, loss: 0.1493 2023-01-06 05:35:15,675 - mmseg - INFO - Iter [66200/160000] lr: 3.518e-05, eta: 8:51:46, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1348, decode.acc_seg: 94.7507, loss: 0.1348 2023-01-06 05:35:34,137 - mmseg - INFO - Iter [66250/160000] lr: 3.516e-05, eta: 8:51:31, time: 0.369, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1252, decode.acc_seg: 94.9903, loss: 0.1252 2023-01-06 05:35:50,644 - mmseg - INFO - Iter [66300/160000] lr: 3.514e-05, eta: 8:51:14, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1218, decode.acc_seg: 95.1088, loss: 0.1218 2023-01-06 05:36:07,200 - mmseg - INFO - Iter [66350/160000] lr: 3.512e-05, eta: 8:50:56, time: 0.331, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1321, decode.acc_seg: 94.7568, loss: 0.1321 2023-01-06 05:36:23,766 - mmseg - INFO - Iter [66400/160000] lr: 3.510e-05, eta: 8:50:38, time: 0.332, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1257, decode.acc_seg: 94.9202, loss: 0.1257 2023-01-06 05:36:40,529 - mmseg - INFO - Iter [66450/160000] lr: 3.508e-05, eta: 8:50:21, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1261, decode.acc_seg: 94.9808, loss: 0.1261 2023-01-06 05:36:56,754 - mmseg - INFO - Iter [66500/160000] lr: 3.506e-05, eta: 8:50:03, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1229, decode.acc_seg: 95.1065, loss: 0.1229 2023-01-06 05:37:13,280 - mmseg - INFO - Iter [66550/160000] lr: 3.504e-05, eta: 8:49:45, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1375, decode.acc_seg: 94.6188, loss: 0.1375 2023-01-06 05:37:32,410 - mmseg - INFO - Iter [66600/160000] lr: 3.503e-05, eta: 8:49:31, time: 0.383, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1312, decode.acc_seg: 94.8236, loss: 0.1312 2023-01-06 05:37:49,178 - mmseg - INFO - Iter [66650/160000] lr: 3.501e-05, eta: 8:49:14, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1343, decode.acc_seg: 94.5836, loss: 0.1343 2023-01-06 05:38:06,062 - mmseg - INFO - Iter [66700/160000] lr: 3.499e-05, eta: 8:48:57, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1371, decode.acc_seg: 94.7593, loss: 0.1371 2023-01-06 05:38:22,626 - mmseg - INFO - Iter [66750/160000] lr: 3.497e-05, eta: 8:48:39, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1364, decode.acc_seg: 94.4700, loss: 0.1364 2023-01-06 05:38:38,823 - mmseg - INFO - Iter [66800/160000] lr: 3.495e-05, eta: 8:48:21, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1231, decode.acc_seg: 95.1211, loss: 0.1231 2023-01-06 05:38:54,865 - mmseg - INFO - Iter [66850/160000] lr: 3.493e-05, eta: 8:48:03, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1219, decode.acc_seg: 95.1056, loss: 0.1219 2023-01-06 05:39:11,248 - mmseg - INFO - Iter [66900/160000] lr: 3.491e-05, eta: 8:47:45, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1235, decode.acc_seg: 95.1043, loss: 0.1235 2023-01-06 05:39:27,960 - mmseg - INFO - Iter [66950/160000] lr: 3.489e-05, eta: 8:47:27, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1225, decode.acc_seg: 95.1759, loss: 0.1225 2023-01-06 05:39:46,983 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 05:39:46,984 - mmseg - INFO - Iter [67000/160000] lr: 3.488e-05, eta: 8:47:13, time: 0.381, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1261, decode.acc_seg: 95.0429, loss: 0.1261 2023-01-06 05:40:03,150 - mmseg - INFO - Iter [67050/160000] lr: 3.486e-05, eta: 8:46:55, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1274, decode.acc_seg: 94.8703, loss: 0.1274 2023-01-06 05:40:19,973 - mmseg - INFO - Iter [67100/160000] lr: 3.484e-05, eta: 8:46:38, time: 0.337, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1222, decode.acc_seg: 95.0745, loss: 0.1222 2023-01-06 05:40:36,283 - mmseg - INFO - Iter [67150/160000] lr: 3.482e-05, eta: 8:46:20, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1244, decode.acc_seg: 95.0500, loss: 0.1244 2023-01-06 05:40:52,434 - mmseg - INFO - Iter [67200/160000] lr: 3.480e-05, eta: 8:46:02, time: 0.323, data_time: 0.012, memory: 8466, decode.loss_ce: 0.1261, decode.acc_seg: 94.9015, loss: 0.1261 2023-01-06 05:41:09,315 - mmseg - INFO - Iter [67250/160000] lr: 3.478e-05, eta: 8:45:44, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1351, decode.acc_seg: 94.7711, loss: 0.1351 2023-01-06 05:41:25,926 - mmseg - INFO - Iter [67300/160000] lr: 3.476e-05, eta: 8:45:27, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1412, decode.acc_seg: 94.5224, loss: 0.1412 2023-01-06 05:41:45,025 - mmseg - INFO - Iter [67350/160000] lr: 3.474e-05, eta: 8:45:13, time: 0.382, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1371, decode.acc_seg: 94.6168, loss: 0.1371 2023-01-06 05:42:01,331 - mmseg - INFO - Iter [67400/160000] lr: 3.473e-05, eta: 8:44:55, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1284, decode.acc_seg: 94.8496, loss: 0.1284 2023-01-06 05:42:18,108 - mmseg - INFO - Iter [67450/160000] lr: 3.471e-05, eta: 8:44:37, time: 0.336, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1296, decode.acc_seg: 94.7594, loss: 0.1296 2023-01-06 05:42:34,436 - mmseg - INFO - Iter [67500/160000] lr: 3.469e-05, eta: 8:44:19, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1175, decode.acc_seg: 95.2748, loss: 0.1175 2023-01-06 05:42:51,198 - mmseg - INFO - Iter [67550/160000] lr: 3.467e-05, eta: 8:44:02, time: 0.336, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1295, decode.acc_seg: 94.9370, loss: 0.1295 2023-01-06 05:43:08,123 - mmseg - INFO - Iter [67600/160000] lr: 3.465e-05, eta: 8:43:45, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1190, decode.acc_seg: 95.2702, loss: 0.1190 2023-01-06 05:43:24,208 - mmseg - INFO - Iter [67650/160000] lr: 3.463e-05, eta: 8:43:27, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1222, decode.acc_seg: 95.0512, loss: 0.1222 2023-01-06 05:43:40,524 - mmseg - INFO - Iter [67700/160000] lr: 3.461e-05, eta: 8:43:09, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1490, decode.acc_seg: 94.4383, loss: 0.1490 2023-01-06 05:43:58,937 - mmseg - INFO - Iter [67750/160000] lr: 3.459e-05, eta: 8:42:54, time: 0.368, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1411, decode.acc_seg: 94.6095, loss: 0.1411 2023-01-06 05:44:15,799 - mmseg - INFO - Iter [67800/160000] lr: 3.458e-05, eta: 8:42:36, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1404, decode.acc_seg: 94.5314, loss: 0.1404 2023-01-06 05:44:32,396 - mmseg - INFO - Iter [67850/160000] lr: 3.456e-05, eta: 8:42:19, time: 0.332, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1335, decode.acc_seg: 94.8357, loss: 0.1335 2023-01-06 05:44:48,605 - mmseg - INFO - Iter [67900/160000] lr: 3.454e-05, eta: 8:42:01, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1329, decode.acc_seg: 94.5351, loss: 0.1329 2023-01-06 05:45:04,902 - mmseg - INFO - Iter [67950/160000] lr: 3.452e-05, eta: 8:41:43, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1314, decode.acc_seg: 94.8262, loss: 0.1314 2023-01-06 05:45:21,335 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 05:45:21,336 - mmseg - INFO - Iter [68000/160000] lr: 3.450e-05, eta: 8:41:25, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1193, decode.acc_seg: 94.9820, loss: 0.1193 2023-01-06 05:45:37,757 - mmseg - INFO - Iter [68050/160000] lr: 3.448e-05, eta: 8:41:07, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1210, decode.acc_seg: 95.2516, loss: 0.1210 2023-01-06 05:45:56,760 - mmseg - INFO - Iter [68100/160000] lr: 3.446e-05, eta: 8:40:53, time: 0.380, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1151, decode.acc_seg: 95.3302, loss: 0.1151 2023-01-06 05:46:13,330 - mmseg - INFO - Iter [68150/160000] lr: 3.444e-05, eta: 8:40:35, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1172, decode.acc_seg: 95.3075, loss: 0.1172 2023-01-06 05:46:29,543 - mmseg - INFO - Iter [68200/160000] lr: 3.443e-05, eta: 8:40:17, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1366, decode.acc_seg: 94.6926, loss: 0.1366 2023-01-06 05:46:45,827 - mmseg - INFO - Iter [68250/160000] lr: 3.441e-05, eta: 8:39:59, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1237, decode.acc_seg: 95.1120, loss: 0.1237 2023-01-06 05:47:01,964 - mmseg - INFO - Iter [68300/160000] lr: 3.439e-05, eta: 8:39:41, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1303, decode.acc_seg: 94.8333, loss: 0.1303 2023-01-06 05:47:18,770 - mmseg - INFO - Iter [68350/160000] lr: 3.437e-05, eta: 8:39:24, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1395, decode.acc_seg: 94.5650, loss: 0.1395 2023-01-06 05:47:35,306 - mmseg - INFO - Iter [68400/160000] lr: 3.435e-05, eta: 8:39:06, time: 0.331, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1238, decode.acc_seg: 94.8459, loss: 0.1238 2023-01-06 05:47:53,820 - mmseg - INFO - Iter [68450/160000] lr: 3.433e-05, eta: 8:38:51, time: 0.370, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1391, decode.acc_seg: 94.4880, loss: 0.1391 2023-01-06 05:48:10,494 - mmseg - INFO - Iter [68500/160000] lr: 3.431e-05, eta: 8:38:34, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1295, decode.acc_seg: 94.9260, loss: 0.1295 2023-01-06 05:48:27,158 - mmseg - INFO - Iter [68550/160000] lr: 3.429e-05, eta: 8:38:16, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1254, decode.acc_seg: 95.0391, loss: 0.1254 2023-01-06 05:48:43,221 - mmseg - INFO - Iter [68600/160000] lr: 3.428e-05, eta: 8:37:58, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1207, decode.acc_seg: 95.1401, loss: 0.1207 2023-01-06 05:48:59,893 - mmseg - INFO - Iter [68650/160000] lr: 3.426e-05, eta: 8:37:41, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1179, decode.acc_seg: 95.1545, loss: 0.1179 2023-01-06 05:49:16,273 - mmseg - INFO - Iter [68700/160000] lr: 3.424e-05, eta: 8:37:23, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1251, decode.acc_seg: 95.0005, loss: 0.1251 2023-01-06 05:49:32,596 - mmseg - INFO - Iter [68750/160000] lr: 3.422e-05, eta: 8:37:05, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1227, decode.acc_seg: 95.0028, loss: 0.1227 2023-01-06 05:49:49,644 - mmseg - INFO - Iter [68800/160000] lr: 3.420e-05, eta: 8:36:48, time: 0.341, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1280, decode.acc_seg: 94.9021, loss: 0.1280 2023-01-06 05:50:08,957 - mmseg - INFO - Iter [68850/160000] lr: 3.418e-05, eta: 8:36:34, time: 0.386, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1259, decode.acc_seg: 94.9958, loss: 0.1259 2023-01-06 05:50:25,236 - mmseg - INFO - Iter [68900/160000] lr: 3.416e-05, eta: 8:36:16, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1194, decode.acc_seg: 95.0444, loss: 0.1194 2023-01-06 05:50:41,814 - mmseg - INFO - Iter [68950/160000] lr: 3.414e-05, eta: 8:35:59, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1222, decode.acc_seg: 95.2032, loss: 0.1222 2023-01-06 05:50:57,964 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 05:50:57,964 - mmseg - INFO - Iter [69000/160000] lr: 3.413e-05, eta: 8:35:41, time: 0.323, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1273, decode.acc_seg: 94.7767, loss: 0.1273 2023-01-06 05:51:14,235 - mmseg - INFO - Iter [69050/160000] lr: 3.411e-05, eta: 8:35:23, time: 0.325, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1308, decode.acc_seg: 94.8385, loss: 0.1308 2023-01-06 05:51:30,576 - mmseg - INFO - Iter [69100/160000] lr: 3.409e-05, eta: 8:35:05, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1355, decode.acc_seg: 94.6765, loss: 0.1355 2023-01-06 05:51:46,955 - mmseg - INFO - Iter [69150/160000] lr: 3.407e-05, eta: 8:34:47, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1196, decode.acc_seg: 95.1864, loss: 0.1196 2023-01-06 05:52:05,424 - mmseg - INFO - Iter [69200/160000] lr: 3.405e-05, eta: 8:34:32, time: 0.370, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1238, decode.acc_seg: 95.0500, loss: 0.1238 2023-01-06 05:52:21,903 - mmseg - INFO - Iter [69250/160000] lr: 3.403e-05, eta: 8:34:14, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1190, decode.acc_seg: 95.1305, loss: 0.1190 2023-01-06 05:52:38,186 - mmseg - INFO - Iter [69300/160000] lr: 3.401e-05, eta: 8:33:56, time: 0.326, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1335, decode.acc_seg: 94.8322, loss: 0.1335 2023-01-06 05:52:54,520 - mmseg - INFO - Iter [69350/160000] lr: 3.399e-05, eta: 8:33:38, time: 0.327, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1311, decode.acc_seg: 94.7300, loss: 0.1311 2023-01-06 05:53:11,097 - mmseg - INFO - Iter [69400/160000] lr: 3.398e-05, eta: 8:33:21, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1183, decode.acc_seg: 95.1721, loss: 0.1183 2023-01-06 05:53:27,608 - mmseg - INFO - Iter [69450/160000] lr: 3.396e-05, eta: 8:33:03, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1221, decode.acc_seg: 95.0555, loss: 0.1221 2023-01-06 05:53:44,235 - mmseg - INFO - Iter [69500/160000] lr: 3.394e-05, eta: 8:32:46, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1387, decode.acc_seg: 94.6130, loss: 0.1387 2023-01-06 05:54:00,653 - mmseg - INFO - Iter [69550/160000] lr: 3.392e-05, eta: 8:32:28, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1243, decode.acc_seg: 95.0159, loss: 0.1243 2023-01-06 05:54:18,986 - mmseg - INFO - Iter [69600/160000] lr: 3.390e-05, eta: 8:32:13, time: 0.366, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1265, decode.acc_seg: 94.8436, loss: 0.1265 2023-01-06 05:54:35,816 - mmseg - INFO - Iter [69650/160000] lr: 3.388e-05, eta: 8:31:55, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1284, decode.acc_seg: 94.7245, loss: 0.1284 2023-01-06 05:54:52,133 - mmseg - INFO - Iter [69700/160000] lr: 3.386e-05, eta: 8:31:37, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1325, decode.acc_seg: 94.5533, loss: 0.1325 2023-01-06 05:55:08,661 - mmseg - INFO - Iter [69750/160000] lr: 3.384e-05, eta: 8:31:20, time: 0.331, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1226, decode.acc_seg: 95.1274, loss: 0.1226 2023-01-06 05:55:24,987 - mmseg - INFO - Iter [69800/160000] lr: 3.383e-05, eta: 8:31:02, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1244, decode.acc_seg: 95.0225, loss: 0.1244 2023-01-06 05:55:41,340 - mmseg - INFO - Iter [69850/160000] lr: 3.381e-05, eta: 8:30:44, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1347, decode.acc_seg: 94.7950, loss: 0.1347 2023-01-06 05:55:57,519 - mmseg - INFO - Iter [69900/160000] lr: 3.379e-05, eta: 8:30:26, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1313, decode.acc_seg: 94.8491, loss: 0.1313 2023-01-06 05:56:16,467 - mmseg - INFO - Iter [69950/160000] lr: 3.377e-05, eta: 8:30:12, time: 0.379, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1205, decode.acc_seg: 95.1649, loss: 0.1205 2023-01-06 05:56:33,183 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 05:56:33,184 - mmseg - INFO - Iter [70000/160000] lr: 3.375e-05, eta: 8:29:54, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1411, decode.acc_seg: 94.4990, loss: 0.1411 2023-01-06 05:56:49,400 - mmseg - INFO - Iter [70050/160000] lr: 3.373e-05, eta: 8:29:36, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1208, decode.acc_seg: 95.1675, loss: 0.1208 2023-01-06 05:57:05,737 - mmseg - INFO - Iter [70100/160000] lr: 3.371e-05, eta: 8:29:18, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1349, decode.acc_seg: 94.6289, loss: 0.1349 2023-01-06 05:57:22,014 - mmseg - INFO - Iter [70150/160000] lr: 3.369e-05, eta: 8:29:01, time: 0.326, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1232, decode.acc_seg: 95.1415, loss: 0.1232 2023-01-06 05:57:39,001 - mmseg - INFO - Iter [70200/160000] lr: 3.368e-05, eta: 8:28:44, time: 0.340, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1388, decode.acc_seg: 94.5103, loss: 0.1388 2023-01-06 05:57:55,446 - mmseg - INFO - Iter [70250/160000] lr: 3.366e-05, eta: 8:28:26, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1216, decode.acc_seg: 94.8573, loss: 0.1216 2023-01-06 05:58:12,486 - mmseg - INFO - Iter [70300/160000] lr: 3.364e-05, eta: 8:28:09, time: 0.341, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1262, decode.acc_seg: 94.9861, loss: 0.1262 2023-01-06 05:58:31,119 - mmseg - INFO - Iter [70350/160000] lr: 3.362e-05, eta: 8:27:54, time: 0.373, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1351, decode.acc_seg: 94.8038, loss: 0.1351 2023-01-06 05:58:47,376 - mmseg - INFO - Iter [70400/160000] lr: 3.360e-05, eta: 8:27:36, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1235, decode.acc_seg: 95.0561, loss: 0.1235 2023-01-06 05:59:03,543 - mmseg - INFO - Iter [70450/160000] lr: 3.358e-05, eta: 8:27:18, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1293, decode.acc_seg: 94.9128, loss: 0.1293 2023-01-06 05:59:20,121 - mmseg - INFO - Iter [70500/160000] lr: 3.356e-05, eta: 8:27:00, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1262, decode.acc_seg: 94.9914, loss: 0.1262 2023-01-06 05:59:36,728 - mmseg - INFO - Iter [70550/160000] lr: 3.354e-05, eta: 8:26:43, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1423, decode.acc_seg: 94.6512, loss: 0.1423 2023-01-06 05:59:52,949 - mmseg - INFO - Iter [70600/160000] lr: 3.353e-05, eta: 8:26:25, time: 0.325, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1271, decode.acc_seg: 94.9245, loss: 0.1271 2023-01-06 06:00:09,253 - mmseg - INFO - Iter [70650/160000] lr: 3.351e-05, eta: 8:26:07, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1264, decode.acc_seg: 94.9972, loss: 0.1264 2023-01-06 06:00:27,912 - mmseg - INFO - Iter [70700/160000] lr: 3.349e-05, eta: 8:25:52, time: 0.373, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1228, decode.acc_seg: 95.0120, loss: 0.1228 2023-01-06 06:00:44,612 - mmseg - INFO - Iter [70750/160000] lr: 3.347e-05, eta: 8:25:35, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1292, decode.acc_seg: 94.9035, loss: 0.1292 2023-01-06 06:01:00,892 - mmseg - INFO - Iter [70800/160000] lr: 3.345e-05, eta: 8:25:17, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1246, decode.acc_seg: 95.0944, loss: 0.1246 2023-01-06 06:01:17,557 - mmseg - INFO - Iter [70850/160000] lr: 3.343e-05, eta: 8:25:00, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1333, decode.acc_seg: 94.7534, loss: 0.1333 2023-01-06 06:01:34,104 - mmseg - INFO - Iter [70900/160000] lr: 3.341e-05, eta: 8:24:42, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1281, decode.acc_seg: 94.9629, loss: 0.1281 2023-01-06 06:01:50,566 - mmseg - INFO - Iter [70950/160000] lr: 3.339e-05, eta: 8:24:24, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1296, decode.acc_seg: 95.0205, loss: 0.1296 2023-01-06 06:02:06,809 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 06:02:06,810 - mmseg - INFO - Iter [71000/160000] lr: 3.338e-05, eta: 8:24:06, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1306, decode.acc_seg: 94.8227, loss: 0.1306 2023-01-06 06:02:23,314 - mmseg - INFO - Iter [71050/160000] lr: 3.336e-05, eta: 8:23:49, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1281, decode.acc_seg: 95.0572, loss: 0.1281 2023-01-06 06:02:42,699 - mmseg - INFO - Iter [71100/160000] lr: 3.334e-05, eta: 8:23:35, time: 0.387, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1200, decode.acc_seg: 95.1836, loss: 0.1200 2023-01-06 06:02:59,132 - mmseg - INFO - Iter [71150/160000] lr: 3.332e-05, eta: 8:23:17, time: 0.329, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1310, decode.acc_seg: 95.0760, loss: 0.1310 2023-01-06 06:03:15,406 - mmseg - INFO - Iter [71200/160000] lr: 3.330e-05, eta: 8:22:59, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1188, decode.acc_seg: 95.1887, loss: 0.1188 2023-01-06 06:03:31,830 - mmseg - INFO - Iter [71250/160000] lr: 3.328e-05, eta: 8:22:42, time: 0.329, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1205, decode.acc_seg: 95.1258, loss: 0.1205 2023-01-06 06:03:48,414 - mmseg - INFO - Iter [71300/160000] lr: 3.326e-05, eta: 8:22:24, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1313, decode.acc_seg: 94.9688, loss: 0.1313 2023-01-06 06:04:04,580 - mmseg - INFO - Iter [71350/160000] lr: 3.324e-05, eta: 8:22:06, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1307, decode.acc_seg: 94.8989, loss: 0.1307 2023-01-06 06:04:21,020 - mmseg - INFO - Iter [71400/160000] lr: 3.323e-05, eta: 8:21:48, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1365, decode.acc_seg: 94.5796, loss: 0.1365 2023-01-06 06:04:39,845 - mmseg - INFO - Iter [71450/160000] lr: 3.321e-05, eta: 8:21:34, time: 0.377, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1239, decode.acc_seg: 95.1527, loss: 0.1239 2023-01-06 06:04:56,279 - mmseg - INFO - Iter [71500/160000] lr: 3.319e-05, eta: 8:21:16, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1279, decode.acc_seg: 94.9749, loss: 0.1279 2023-01-06 06:05:12,757 - mmseg - INFO - Iter [71550/160000] lr: 3.317e-05, eta: 8:20:58, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1212, decode.acc_seg: 95.1654, loss: 0.1212 2023-01-06 06:05:29,417 - mmseg - INFO - Iter [71600/160000] lr: 3.315e-05, eta: 8:20:41, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1224, decode.acc_seg: 95.0123, loss: 0.1224 2023-01-06 06:05:45,845 - mmseg - INFO - Iter [71650/160000] lr: 3.313e-05, eta: 8:20:23, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1398, decode.acc_seg: 94.6273, loss: 0.1398 2023-01-06 06:06:02,900 - mmseg - INFO - Iter [71700/160000] lr: 3.311e-05, eta: 8:20:06, time: 0.341, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1249, decode.acc_seg: 94.9404, loss: 0.1249 2023-01-06 06:06:19,204 - mmseg - INFO - Iter [71750/160000] lr: 3.309e-05, eta: 8:19:48, time: 0.326, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1237, decode.acc_seg: 95.1241, loss: 0.1237 2023-01-06 06:06:37,721 - mmseg - INFO - Iter [71800/160000] lr: 3.308e-05, eta: 8:19:33, time: 0.370, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1227, decode.acc_seg: 95.0421, loss: 0.1227 2023-01-06 06:06:54,073 - mmseg - INFO - Iter [71850/160000] lr: 3.306e-05, eta: 8:19:16, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1184, decode.acc_seg: 95.2483, loss: 0.1184 2023-01-06 06:07:10,124 - mmseg - INFO - Iter [71900/160000] lr: 3.304e-05, eta: 8:18:57, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1251, decode.acc_seg: 95.0678, loss: 0.1251 2023-01-06 06:07:26,464 - mmseg - INFO - Iter [71950/160000] lr: 3.302e-05, eta: 8:18:40, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1398, decode.acc_seg: 94.3790, loss: 0.1398 2023-01-06 06:07:42,686 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 06:07:42,687 - mmseg - INFO - Iter [72000/160000] lr: 3.300e-05, eta: 8:18:22, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1173, decode.acc_seg: 95.3570, loss: 0.1173 2023-01-06 06:07:58,763 - mmseg - INFO - Iter [72050/160000] lr: 3.298e-05, eta: 8:18:04, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1443, decode.acc_seg: 94.2526, loss: 0.1443 2023-01-06 06:08:14,870 - mmseg - INFO - Iter [72100/160000] lr: 3.296e-05, eta: 8:17:46, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1489, decode.acc_seg: 94.3282, loss: 0.1489 2023-01-06 06:08:31,080 - mmseg - INFO - Iter [72150/160000] lr: 3.294e-05, eta: 8:17:28, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1231, decode.acc_seg: 94.9758, loss: 0.1231 2023-01-06 06:08:50,344 - mmseg - INFO - Iter [72200/160000] lr: 3.293e-05, eta: 8:17:13, time: 0.385, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1366, decode.acc_seg: 94.6419, loss: 0.1366 2023-01-06 06:09:06,927 - mmseg - INFO - Iter [72250/160000] lr: 3.291e-05, eta: 8:16:56, time: 0.332, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1295, decode.acc_seg: 94.8457, loss: 0.1295 2023-01-06 06:09:23,280 - mmseg - INFO - Iter [72300/160000] lr: 3.289e-05, eta: 8:16:38, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1271, decode.acc_seg: 94.8345, loss: 0.1271 2023-01-06 06:09:40,109 - mmseg - INFO - Iter [72350/160000] lr: 3.287e-05, eta: 8:16:21, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1240, decode.acc_seg: 94.9625, loss: 0.1240 2023-01-06 06:09:56,261 - mmseg - INFO - Iter [72400/160000] lr: 3.285e-05, eta: 8:16:03, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1372, decode.acc_seg: 94.7104, loss: 0.1372 2023-01-06 06:10:12,720 - mmseg - INFO - Iter [72450/160000] lr: 3.283e-05, eta: 8:15:45, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1189, decode.acc_seg: 95.3312, loss: 0.1189 2023-01-06 06:10:29,181 - mmseg - INFO - Iter [72500/160000] lr: 3.281e-05, eta: 8:15:28, time: 0.329, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1198, decode.acc_seg: 95.2324, loss: 0.1198 2023-01-06 06:10:47,997 - mmseg - INFO - Iter [72550/160000] lr: 3.279e-05, eta: 8:15:13, time: 0.377, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1207, decode.acc_seg: 95.1635, loss: 0.1207 2023-01-06 06:11:04,048 - mmseg - INFO - Iter [72600/160000] lr: 3.278e-05, eta: 8:14:55, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1221, decode.acc_seg: 95.1658, loss: 0.1221 2023-01-06 06:11:20,587 - mmseg - INFO - Iter [72650/160000] lr: 3.276e-05, eta: 8:14:37, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1301, decode.acc_seg: 94.9611, loss: 0.1301 2023-01-06 06:11:36,900 - mmseg - INFO - Iter [72700/160000] lr: 3.274e-05, eta: 8:14:19, time: 0.326, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1290, decode.acc_seg: 95.0553, loss: 0.1290 2023-01-06 06:11:53,247 - mmseg - INFO - Iter [72750/160000] lr: 3.272e-05, eta: 8:14:02, time: 0.327, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1219, decode.acc_seg: 95.1264, loss: 0.1219 2023-01-06 06:12:09,619 - mmseg - INFO - Iter [72800/160000] lr: 3.270e-05, eta: 8:13:44, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1254, decode.acc_seg: 95.0016, loss: 0.1254 2023-01-06 06:12:26,080 - mmseg - INFO - Iter [72850/160000] lr: 3.268e-05, eta: 8:13:26, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1213, decode.acc_seg: 95.3106, loss: 0.1213 2023-01-06 06:12:42,371 - mmseg - INFO - Iter [72900/160000] lr: 3.266e-05, eta: 8:13:09, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1361, decode.acc_seg: 94.6982, loss: 0.1361 2023-01-06 06:13:01,510 - mmseg - INFO - Iter [72950/160000] lr: 3.264e-05, eta: 8:12:54, time: 0.383, data_time: 0.054, memory: 8466, decode.loss_ce: 0.1332, decode.acc_seg: 94.7312, loss: 0.1332 2023-01-06 06:13:17,940 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 06:13:17,940 - mmseg - INFO - Iter [73000/160000] lr: 3.263e-05, eta: 8:12:36, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1150, decode.acc_seg: 95.4002, loss: 0.1150 2023-01-06 06:13:34,698 - mmseg - INFO - Iter [73050/160000] lr: 3.261e-05, eta: 8:12:19, time: 0.336, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1265, decode.acc_seg: 94.9894, loss: 0.1265 2023-01-06 06:13:51,010 - mmseg - INFO - Iter [73100/160000] lr: 3.259e-05, eta: 8:12:01, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1270, decode.acc_seg: 94.9504, loss: 0.1270 2023-01-06 06:14:07,580 - mmseg - INFO - Iter [73150/160000] lr: 3.257e-05, eta: 8:11:44, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1194, decode.acc_seg: 95.0773, loss: 0.1194 2023-01-06 06:14:24,369 - mmseg - INFO - Iter [73200/160000] lr: 3.255e-05, eta: 8:11:27, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1301, decode.acc_seg: 94.8940, loss: 0.1301 2023-01-06 06:14:40,872 - mmseg - INFO - Iter [73250/160000] lr: 3.253e-05, eta: 8:11:09, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1173, decode.acc_seg: 95.3203, loss: 0.1173 2023-01-06 06:14:59,501 - mmseg - INFO - Iter [73300/160000] lr: 3.251e-05, eta: 8:10:54, time: 0.372, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1271, decode.acc_seg: 94.9612, loss: 0.1271 2023-01-06 06:15:15,824 - mmseg - INFO - Iter [73350/160000] lr: 3.249e-05, eta: 8:10:36, time: 0.327, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1268, decode.acc_seg: 94.8853, loss: 0.1268 2023-01-06 06:15:32,586 - mmseg - INFO - Iter [73400/160000] lr: 3.248e-05, eta: 8:10:19, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1344, decode.acc_seg: 94.6184, loss: 0.1344 2023-01-06 06:15:49,234 - mmseg - INFO - Iter [73450/160000] lr: 3.246e-05, eta: 8:10:02, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1148, decode.acc_seg: 95.3405, loss: 0.1148 2023-01-06 06:16:05,800 - mmseg - INFO - Iter [73500/160000] lr: 3.244e-05, eta: 8:09:44, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1259, decode.acc_seg: 94.9429, loss: 0.1259 2023-01-06 06:16:22,303 - mmseg - INFO - Iter [73550/160000] lr: 3.242e-05, eta: 8:09:27, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1211, decode.acc_seg: 95.2479, loss: 0.1211 2023-01-06 06:16:39,172 - mmseg - INFO - Iter [73600/160000] lr: 3.240e-05, eta: 8:09:10, time: 0.338, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1218, decode.acc_seg: 95.1930, loss: 0.1218 2023-01-06 06:16:55,399 - mmseg - INFO - Iter [73650/160000] lr: 3.238e-05, eta: 8:08:52, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1217, decode.acc_seg: 95.2110, loss: 0.1217 2023-01-06 06:17:13,881 - mmseg - INFO - Iter [73700/160000] lr: 3.236e-05, eta: 8:08:36, time: 0.370, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1216, decode.acc_seg: 95.1996, loss: 0.1216 2023-01-06 06:17:30,244 - mmseg - INFO - Iter [73750/160000] lr: 3.234e-05, eta: 8:08:19, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1182, decode.acc_seg: 95.0659, loss: 0.1182 2023-01-06 06:17:46,480 - mmseg - INFO - Iter [73800/160000] lr: 3.233e-05, eta: 8:08:01, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1204, decode.acc_seg: 95.2113, loss: 0.1204 2023-01-06 06:18:02,584 - mmseg - INFO - Iter [73850/160000] lr: 3.231e-05, eta: 8:07:43, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1234, decode.acc_seg: 95.0891, loss: 0.1234 2023-01-06 06:18:19,441 - mmseg - INFO - Iter [73900/160000] lr: 3.229e-05, eta: 8:07:26, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1218, decode.acc_seg: 95.0378, loss: 0.1218 2023-01-06 06:18:35,671 - mmseg - INFO - Iter [73950/160000] lr: 3.227e-05, eta: 8:07:08, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1268, decode.acc_seg: 94.8697, loss: 0.1268 2023-01-06 06:18:52,331 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 06:18:52,332 - mmseg - INFO - Iter [74000/160000] lr: 3.225e-05, eta: 8:06:51, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1161, decode.acc_seg: 95.3726, loss: 0.1161 2023-01-06 06:19:10,825 - mmseg - INFO - Iter [74050/160000] lr: 3.223e-05, eta: 8:06:35, time: 0.370, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1243, decode.acc_seg: 94.9675, loss: 0.1243 2023-01-06 06:19:27,417 - mmseg - INFO - Iter [74100/160000] lr: 3.221e-05, eta: 8:06:18, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1194, decode.acc_seg: 95.3220, loss: 0.1194 2023-01-06 06:19:43,800 - mmseg - INFO - Iter [74150/160000] lr: 3.219e-05, eta: 8:06:00, time: 0.328, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1284, decode.acc_seg: 94.8655, loss: 0.1284 2023-01-06 06:20:00,657 - mmseg - INFO - Iter [74200/160000] lr: 3.218e-05, eta: 8:05:43, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1208, decode.acc_seg: 95.0557, loss: 0.1208 2023-01-06 06:20:17,285 - mmseg - INFO - Iter [74250/160000] lr: 3.216e-05, eta: 8:05:26, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1255, decode.acc_seg: 95.0437, loss: 0.1255 2023-01-06 06:20:33,432 - mmseg - INFO - Iter [74300/160000] lr: 3.214e-05, eta: 8:05:08, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1154, decode.acc_seg: 95.4794, loss: 0.1154 2023-01-06 06:20:49,880 - mmseg - INFO - Iter [74350/160000] lr: 3.212e-05, eta: 8:04:50, time: 0.329, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1182, decode.acc_seg: 95.1252, loss: 0.1182 2023-01-06 06:21:06,268 - mmseg - INFO - Iter [74400/160000] lr: 3.210e-05, eta: 8:04:32, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1261, decode.acc_seg: 95.0055, loss: 0.1261 2023-01-06 06:21:25,263 - mmseg - INFO - Iter [74450/160000] lr: 3.208e-05, eta: 8:04:18, time: 0.380, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1231, decode.acc_seg: 94.9744, loss: 0.1231 2023-01-06 06:21:41,516 - mmseg - INFO - Iter [74500/160000] lr: 3.206e-05, eta: 8:04:00, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1288, decode.acc_seg: 94.8915, loss: 0.1288 2023-01-06 06:21:57,818 - mmseg - INFO - Iter [74550/160000] lr: 3.204e-05, eta: 8:03:42, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1175, decode.acc_seg: 95.2006, loss: 0.1175 2023-01-06 06:22:14,739 - mmseg - INFO - Iter [74600/160000] lr: 3.203e-05, eta: 8:03:25, time: 0.339, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1235, decode.acc_seg: 95.3257, loss: 0.1235 2023-01-06 06:22:31,187 - mmseg - INFO - Iter [74650/160000] lr: 3.201e-05, eta: 8:03:08, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1234, decode.acc_seg: 95.0594, loss: 0.1234 2023-01-06 06:22:47,469 - mmseg - INFO - Iter [74700/160000] lr: 3.199e-05, eta: 8:02:50, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1247, decode.acc_seg: 94.9380, loss: 0.1247 2023-01-06 06:23:03,734 - mmseg - INFO - Iter [74750/160000] lr: 3.197e-05, eta: 8:02:32, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1205, decode.acc_seg: 95.0082, loss: 0.1205 2023-01-06 06:23:22,393 - mmseg - INFO - Iter [74800/160000] lr: 3.195e-05, eta: 8:02:17, time: 0.373, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1217, decode.acc_seg: 95.1390, loss: 0.1217 2023-01-06 06:23:38,660 - mmseg - INFO - Iter [74850/160000] lr: 3.193e-05, eta: 8:01:59, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1255, decode.acc_seg: 94.9930, loss: 0.1255 2023-01-06 06:23:55,015 - mmseg - INFO - Iter [74900/160000] lr: 3.191e-05, eta: 8:01:41, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1150, decode.acc_seg: 95.2543, loss: 0.1150 2023-01-06 06:24:11,570 - mmseg - INFO - Iter [74950/160000] lr: 3.189e-05, eta: 8:01:24, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1165, decode.acc_seg: 95.2453, loss: 0.1165 2023-01-06 06:24:28,159 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 06:24:28,159 - mmseg - INFO - Iter [75000/160000] lr: 3.188e-05, eta: 8:01:07, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1318, decode.acc_seg: 94.9436, loss: 0.1318 2023-01-06 06:24:45,047 - mmseg - INFO - Iter [75050/160000] lr: 3.186e-05, eta: 8:00:49, time: 0.338, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1243, decode.acc_seg: 94.9432, loss: 0.1243 2023-01-06 06:25:01,374 - mmseg - INFO - Iter [75100/160000] lr: 3.184e-05, eta: 8:00:32, time: 0.327, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1319, decode.acc_seg: 94.8393, loss: 0.1319 2023-01-06 06:25:20,576 - mmseg - INFO - Iter [75150/160000] lr: 3.182e-05, eta: 8:00:17, time: 0.384, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1388, decode.acc_seg: 94.6573, loss: 0.1388 2023-01-06 06:25:36,744 - mmseg - INFO - Iter [75200/160000] lr: 3.180e-05, eta: 7:59:59, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1289, decode.acc_seg: 94.8774, loss: 0.1289 2023-01-06 06:25:53,393 - mmseg - INFO - Iter [75250/160000] lr: 3.178e-05, eta: 7:59:42, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1256, decode.acc_seg: 94.9454, loss: 0.1256 2023-01-06 06:26:09,926 - mmseg - INFO - Iter [75300/160000] lr: 3.176e-05, eta: 7:59:25, time: 0.331, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1191, decode.acc_seg: 95.2990, loss: 0.1191 2023-01-06 06:26:26,298 - mmseg - INFO - Iter [75350/160000] lr: 3.174e-05, eta: 7:59:07, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1366, decode.acc_seg: 94.7208, loss: 0.1366 2023-01-06 06:26:43,215 - mmseg - INFO - Iter [75400/160000] lr: 3.173e-05, eta: 7:58:50, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1495, decode.acc_seg: 94.2950, loss: 0.1495 2023-01-06 06:27:00,219 - mmseg - INFO - Iter [75450/160000] lr: 3.171e-05, eta: 7:58:33, time: 0.340, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1195, decode.acc_seg: 95.1972, loss: 0.1195 2023-01-06 06:27:16,631 - mmseg - INFO - Iter [75500/160000] lr: 3.169e-05, eta: 7:58:15, time: 0.329, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1266, decode.acc_seg: 94.9817, loss: 0.1266 2023-01-06 06:27:35,525 - mmseg - INFO - Iter [75550/160000] lr: 3.167e-05, eta: 7:58:00, time: 0.378, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1311, decode.acc_seg: 94.7390, loss: 0.1311 2023-01-06 06:27:51,920 - mmseg - INFO - Iter [75600/160000] lr: 3.165e-05, eta: 7:57:43, time: 0.328, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1193, decode.acc_seg: 95.1934, loss: 0.1193 2023-01-06 06:28:08,031 - mmseg - INFO - Iter [75650/160000] lr: 3.163e-05, eta: 7:57:25, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1234, decode.acc_seg: 95.0949, loss: 0.1234 2023-01-06 06:28:24,317 - mmseg - INFO - Iter [75700/160000] lr: 3.161e-05, eta: 7:57:07, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1311, decode.acc_seg: 94.9032, loss: 0.1311 2023-01-06 06:28:40,929 - mmseg - INFO - Iter [75750/160000] lr: 3.159e-05, eta: 7:56:50, time: 0.333, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1306, decode.acc_seg: 94.8439, loss: 0.1306 2023-01-06 06:28:57,308 - mmseg - INFO - Iter [75800/160000] lr: 3.158e-05, eta: 7:56:32, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1151, decode.acc_seg: 95.4146, loss: 0.1151 2023-01-06 06:29:13,502 - mmseg - INFO - Iter [75850/160000] lr: 3.156e-05, eta: 7:56:14, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1241, decode.acc_seg: 94.8081, loss: 0.1241 2023-01-06 06:29:32,445 - mmseg - INFO - Iter [75900/160000] lr: 3.154e-05, eta: 7:55:59, time: 0.379, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1315, decode.acc_seg: 94.7525, loss: 0.1315 2023-01-06 06:29:49,251 - mmseg - INFO - Iter [75950/160000] lr: 3.152e-05, eta: 7:55:42, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1322, decode.acc_seg: 94.7954, loss: 0.1322 2023-01-06 06:30:05,546 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 06:30:05,547 - mmseg - INFO - Iter [76000/160000] lr: 3.150e-05, eta: 7:55:24, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1199, decode.acc_seg: 95.1639, loss: 0.1199 2023-01-06 06:30:22,126 - mmseg - INFO - Iter [76050/160000] lr: 3.148e-05, eta: 7:55:07, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1253, decode.acc_seg: 94.9704, loss: 0.1253 2023-01-06 06:30:38,616 - mmseg - INFO - Iter [76100/160000] lr: 3.146e-05, eta: 7:54:50, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1134, decode.acc_seg: 95.4146, loss: 0.1134 2023-01-06 06:30:54,910 - mmseg - INFO - Iter [76150/160000] lr: 3.144e-05, eta: 7:54:32, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1151, decode.acc_seg: 95.2902, loss: 0.1151 2023-01-06 06:31:11,364 - mmseg - INFO - Iter [76200/160000] lr: 3.143e-05, eta: 7:54:14, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1276, decode.acc_seg: 95.0595, loss: 0.1276 2023-01-06 06:31:27,883 - mmseg - INFO - Iter [76250/160000] lr: 3.141e-05, eta: 7:53:57, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1230, decode.acc_seg: 95.2039, loss: 0.1230 2023-01-06 06:31:46,211 - mmseg - INFO - Iter [76300/160000] lr: 3.139e-05, eta: 7:53:41, time: 0.367, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1204, decode.acc_seg: 95.1697, loss: 0.1204 2023-01-06 06:32:02,677 - mmseg - INFO - Iter [76350/160000] lr: 3.137e-05, eta: 7:53:24, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1232, decode.acc_seg: 95.0983, loss: 0.1232 2023-01-06 06:32:19,730 - mmseg - INFO - Iter [76400/160000] lr: 3.135e-05, eta: 7:53:07, time: 0.341, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1227, decode.acc_seg: 95.1833, loss: 0.1227 2023-01-06 06:32:36,321 - mmseg - INFO - Iter [76450/160000] lr: 3.133e-05, eta: 7:52:49, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1259, decode.acc_seg: 94.9382, loss: 0.1259 2023-01-06 06:32:52,749 - mmseg - INFO - Iter [76500/160000] lr: 3.131e-05, eta: 7:52:32, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1222, decode.acc_seg: 95.0073, loss: 0.1222 2023-01-06 06:33:08,963 - mmseg - INFO - Iter [76550/160000] lr: 3.129e-05, eta: 7:52:14, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1275, decode.acc_seg: 95.0159, loss: 0.1275 2023-01-06 06:33:25,563 - mmseg - INFO - Iter [76600/160000] lr: 3.128e-05, eta: 7:51:57, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1152, decode.acc_seg: 95.2658, loss: 0.1152 2023-01-06 06:33:44,357 - mmseg - INFO - Iter [76650/160000] lr: 3.126e-05, eta: 7:51:42, time: 0.376, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1219, decode.acc_seg: 95.0799, loss: 0.1219 2023-01-06 06:34:01,065 - mmseg - INFO - Iter [76700/160000] lr: 3.124e-05, eta: 7:51:24, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1174, decode.acc_seg: 95.2357, loss: 0.1174 2023-01-06 06:34:17,600 - mmseg - INFO - Iter [76750/160000] lr: 3.122e-05, eta: 7:51:07, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1176, decode.acc_seg: 95.2785, loss: 0.1176 2023-01-06 06:34:33,912 - mmseg - INFO - Iter [76800/160000] lr: 3.120e-05, eta: 7:50:49, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1163, decode.acc_seg: 95.3930, loss: 0.1163 2023-01-06 06:34:50,423 - mmseg - INFO - Iter [76850/160000] lr: 3.118e-05, eta: 7:50:32, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1178, decode.acc_seg: 95.2086, loss: 0.1178 2023-01-06 06:35:06,870 - mmseg - INFO - Iter [76900/160000] lr: 3.116e-05, eta: 7:50:14, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1249, decode.acc_seg: 95.1163, loss: 0.1249 2023-01-06 06:35:23,029 - mmseg - INFO - Iter [76950/160000] lr: 3.114e-05, eta: 7:49:56, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1299, decode.acc_seg: 94.8824, loss: 0.1299 2023-01-06 06:35:39,621 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 06:35:39,621 - mmseg - INFO - Iter [77000/160000] lr: 3.113e-05, eta: 7:49:39, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1162, decode.acc_seg: 95.1974, loss: 0.1162 2023-01-06 06:35:58,374 - mmseg - INFO - Iter [77050/160000] lr: 3.111e-05, eta: 7:49:24, time: 0.375, data_time: 0.054, memory: 8466, decode.loss_ce: 0.1199, decode.acc_seg: 95.1776, loss: 0.1199 2023-01-06 06:36:14,452 - mmseg - INFO - Iter [77100/160000] lr: 3.109e-05, eta: 7:49:06, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1197, decode.acc_seg: 95.1824, loss: 0.1197 2023-01-06 06:36:30,820 - mmseg - INFO - Iter [77150/160000] lr: 3.107e-05, eta: 7:48:48, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1159, decode.acc_seg: 95.2375, loss: 0.1159 2023-01-06 06:36:46,890 - mmseg - INFO - Iter [77200/160000] lr: 3.105e-05, eta: 7:48:30, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1219, decode.acc_seg: 95.1589, loss: 0.1219 2023-01-06 06:37:03,148 - mmseg - INFO - Iter [77250/160000] lr: 3.103e-05, eta: 7:48:13, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1181, decode.acc_seg: 95.1250, loss: 0.1181 2023-01-06 06:37:19,876 - mmseg - INFO - Iter [77300/160000] lr: 3.101e-05, eta: 7:47:55, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1266, decode.acc_seg: 95.1164, loss: 0.1266 2023-01-06 06:37:36,362 - mmseg - INFO - Iter [77350/160000] lr: 3.099e-05, eta: 7:47:38, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1274, decode.acc_seg: 94.9839, loss: 0.1274 2023-01-06 06:37:55,099 - mmseg - INFO - Iter [77400/160000] lr: 3.098e-05, eta: 7:47:23, time: 0.375, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1161, decode.acc_seg: 95.2994, loss: 0.1161 2023-01-06 06:38:11,392 - mmseg - INFO - Iter [77450/160000] lr: 3.096e-05, eta: 7:47:05, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1139, decode.acc_seg: 95.2999, loss: 0.1139 2023-01-06 06:38:27,785 - mmseg - INFO - Iter [77500/160000] lr: 3.094e-05, eta: 7:46:47, time: 0.328, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1206, decode.acc_seg: 95.0665, loss: 0.1206 2023-01-06 06:38:44,607 - mmseg - INFO - Iter [77550/160000] lr: 3.092e-05, eta: 7:46:30, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1138, decode.acc_seg: 95.3802, loss: 0.1138 2023-01-06 06:39:01,387 - mmseg - INFO - Iter [77600/160000] lr: 3.090e-05, eta: 7:46:13, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1156, decode.acc_seg: 95.4792, loss: 0.1156 2023-01-06 06:39:17,690 - mmseg - INFO - Iter [77650/160000] lr: 3.088e-05, eta: 7:45:55, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1190, decode.acc_seg: 95.2086, loss: 0.1190 2023-01-06 06:39:34,443 - mmseg - INFO - Iter [77700/160000] lr: 3.086e-05, eta: 7:45:38, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1349, decode.acc_seg: 94.5278, loss: 0.1349 2023-01-06 06:39:53,313 - mmseg - INFO - Iter [77750/160000] lr: 3.084e-05, eta: 7:45:23, time: 0.378, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1225, decode.acc_seg: 95.0838, loss: 0.1225 2023-01-06 06:40:09,569 - mmseg - INFO - Iter [77800/160000] lr: 3.083e-05, eta: 7:45:06, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1163, decode.acc_seg: 95.4114, loss: 0.1163 2023-01-06 06:40:26,028 - mmseg - INFO - Iter [77850/160000] lr: 3.081e-05, eta: 7:44:48, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1184, decode.acc_seg: 95.1688, loss: 0.1184 2023-01-06 06:40:42,587 - mmseg - INFO - Iter [77900/160000] lr: 3.079e-05, eta: 7:44:31, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1206, decode.acc_seg: 95.1629, loss: 0.1206 2023-01-06 06:40:58,835 - mmseg - INFO - Iter [77950/160000] lr: 3.077e-05, eta: 7:44:13, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1157, decode.acc_seg: 95.3567, loss: 0.1157 2023-01-06 06:41:15,365 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 06:41:15,366 - mmseg - INFO - Iter [78000/160000] lr: 3.075e-05, eta: 7:43:55, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1194, decode.acc_seg: 95.2448, loss: 0.1194 2023-01-06 06:41:32,304 - mmseg - INFO - Iter [78050/160000] lr: 3.073e-05, eta: 7:43:38, time: 0.339, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1215, decode.acc_seg: 95.0583, loss: 0.1215 2023-01-06 06:41:48,460 - mmseg - INFO - Iter [78100/160000] lr: 3.071e-05, eta: 7:43:21, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1216, decode.acc_seg: 95.0147, loss: 0.1216 2023-01-06 06:42:07,062 - mmseg - INFO - Iter [78150/160000] lr: 3.069e-05, eta: 7:43:05, time: 0.372, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1220, decode.acc_seg: 95.0106, loss: 0.1220 2023-01-06 06:42:23,789 - mmseg - INFO - Iter [78200/160000] lr: 3.068e-05, eta: 7:42:48, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1258, decode.acc_seg: 95.0165, loss: 0.1258 2023-01-06 06:42:40,357 - mmseg - INFO - Iter [78250/160000] lr: 3.066e-05, eta: 7:42:31, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1382, decode.acc_seg: 94.9584, loss: 0.1382 2023-01-06 06:42:56,452 - mmseg - INFO - Iter [78300/160000] lr: 3.064e-05, eta: 7:42:13, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1263, decode.acc_seg: 95.1020, loss: 0.1263 2023-01-06 06:43:12,889 - mmseg - INFO - Iter [78350/160000] lr: 3.062e-05, eta: 7:41:55, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1303, decode.acc_seg: 94.9273, loss: 0.1303 2023-01-06 06:43:29,200 - mmseg - INFO - Iter [78400/160000] lr: 3.060e-05, eta: 7:41:38, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1246, decode.acc_seg: 95.0932, loss: 0.1246 2023-01-06 06:43:45,547 - mmseg - INFO - Iter [78450/160000] lr: 3.058e-05, eta: 7:41:20, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1203, decode.acc_seg: 95.2175, loss: 0.1203 2023-01-06 06:44:04,241 - mmseg - INFO - Iter [78500/160000] lr: 3.056e-05, eta: 7:41:05, time: 0.374, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1204, decode.acc_seg: 95.1204, loss: 0.1204 2023-01-06 06:44:20,917 - mmseg - INFO - Iter [78550/160000] lr: 3.054e-05, eta: 7:40:48, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1266, decode.acc_seg: 94.9389, loss: 0.1266 2023-01-06 06:44:37,469 - mmseg - INFO - Iter [78600/160000] lr: 3.053e-05, eta: 7:40:30, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1226, decode.acc_seg: 95.0778, loss: 0.1226 2023-01-06 06:44:53,678 - mmseg - INFO - Iter [78650/160000] lr: 3.051e-05, eta: 7:40:12, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1210, decode.acc_seg: 95.4483, loss: 0.1210 2023-01-06 06:45:10,457 - mmseg - INFO - Iter [78700/160000] lr: 3.049e-05, eta: 7:39:55, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1138, decode.acc_seg: 95.3473, loss: 0.1138 2023-01-06 06:45:26,504 - mmseg - INFO - Iter [78750/160000] lr: 3.047e-05, eta: 7:39:37, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1145, decode.acc_seg: 95.3893, loss: 0.1145 2023-01-06 06:45:42,761 - mmseg - INFO - Iter [78800/160000] lr: 3.045e-05, eta: 7:39:20, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1241, decode.acc_seg: 95.0388, loss: 0.1241 2023-01-06 06:45:58,900 - mmseg - INFO - Iter [78850/160000] lr: 3.043e-05, eta: 7:39:02, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1233, decode.acc_seg: 95.0487, loss: 0.1233 2023-01-06 06:46:17,778 - mmseg - INFO - Iter [78900/160000] lr: 3.041e-05, eta: 7:38:47, time: 0.378, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1219, decode.acc_seg: 95.1541, loss: 0.1219 2023-01-06 06:46:34,795 - mmseg - INFO - Iter [78950/160000] lr: 3.039e-05, eta: 7:38:30, time: 0.340, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1111, decode.acc_seg: 95.3962, loss: 0.1111 2023-01-06 06:46:51,814 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 06:46:51,815 - mmseg - INFO - Iter [79000/160000] lr: 3.038e-05, eta: 7:38:13, time: 0.341, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1126, decode.acc_seg: 95.3879, loss: 0.1126 2023-01-06 06:47:07,875 - mmseg - INFO - Iter [79050/160000] lr: 3.036e-05, eta: 7:37:55, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1257, decode.acc_seg: 95.0806, loss: 0.1257 2023-01-06 06:47:24,501 - mmseg - INFO - Iter [79100/160000] lr: 3.034e-05, eta: 7:37:38, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1182, decode.acc_seg: 95.2967, loss: 0.1182 2023-01-06 06:47:41,153 - mmseg - INFO - Iter [79150/160000] lr: 3.032e-05, eta: 7:37:20, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1214, decode.acc_seg: 95.0105, loss: 0.1214 2023-01-06 06:47:57,536 - mmseg - INFO - Iter [79200/160000] lr: 3.030e-05, eta: 7:37:03, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1277, decode.acc_seg: 95.0455, loss: 0.1277 2023-01-06 06:48:16,500 - mmseg - INFO - Iter [79250/160000] lr: 3.028e-05, eta: 7:36:48, time: 0.380, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1141, decode.acc_seg: 95.5157, loss: 0.1141 2023-01-06 06:48:32,826 - mmseg - INFO - Iter [79300/160000] lr: 3.026e-05, eta: 7:36:30, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1152, decode.acc_seg: 95.2952, loss: 0.1152 2023-01-06 06:48:49,295 - mmseg - INFO - Iter [79350/160000] lr: 3.024e-05, eta: 7:36:13, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1223, decode.acc_seg: 95.0458, loss: 0.1223 2023-01-06 06:49:05,729 - mmseg - INFO - Iter [79400/160000] lr: 3.023e-05, eta: 7:35:55, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1238, decode.acc_seg: 95.0379, loss: 0.1238 2023-01-06 06:49:21,893 - mmseg - INFO - Iter [79450/160000] lr: 3.021e-05, eta: 7:35:37, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1147, decode.acc_seg: 95.3544, loss: 0.1147 2023-01-06 06:49:38,558 - mmseg - INFO - Iter [79500/160000] lr: 3.019e-05, eta: 7:35:20, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1144, decode.acc_seg: 95.3726, loss: 0.1144 2023-01-06 06:49:54,933 - mmseg - INFO - Iter [79550/160000] lr: 3.017e-05, eta: 7:35:03, time: 0.328, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1095, decode.acc_seg: 95.6033, loss: 0.1095 2023-01-06 06:50:11,562 - mmseg - INFO - Iter [79600/160000] lr: 3.015e-05, eta: 7:34:45, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1337, decode.acc_seg: 94.9958, loss: 0.1337 2023-01-06 06:50:30,589 - mmseg - INFO - Iter [79650/160000] lr: 3.013e-05, eta: 7:34:30, time: 0.381, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1311, decode.acc_seg: 94.8976, loss: 0.1311 2023-01-06 06:50:47,146 - mmseg - INFO - Iter [79700/160000] lr: 3.011e-05, eta: 7:34:13, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1167, decode.acc_seg: 95.3955, loss: 0.1167 2023-01-06 06:51:03,680 - mmseg - INFO - Iter [79750/160000] lr: 3.009e-05, eta: 7:33:56, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1218, decode.acc_seg: 95.2152, loss: 0.1218 2023-01-06 06:51:19,974 - mmseg - INFO - Iter [79800/160000] lr: 3.008e-05, eta: 7:33:38, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1227, decode.acc_seg: 95.1040, loss: 0.1227 2023-01-06 06:51:36,250 - mmseg - INFO - Iter [79850/160000] lr: 3.006e-05, eta: 7:33:20, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1190, decode.acc_seg: 95.3091, loss: 0.1190 2023-01-06 06:51:52,756 - mmseg - INFO - Iter [79900/160000] lr: 3.004e-05, eta: 7:33:03, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1199, decode.acc_seg: 95.3200, loss: 0.1199 2023-01-06 06:52:09,255 - mmseg - INFO - Iter [79950/160000] lr: 3.002e-05, eta: 7:32:45, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1181, decode.acc_seg: 95.2459, loss: 0.1181 2023-01-06 06:52:28,222 - mmseg - INFO - Saving checkpoint at 80000 iterations 2023-01-06 06:52:31,169 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 06:52:31,169 - mmseg - INFO - Iter [80000/160000] lr: 3.000e-05, eta: 7:32:33, time: 0.438, data_time: 0.054, memory: 8466, decode.loss_ce: 0.1166, decode.acc_seg: 95.2234, loss: 0.1166 2023-01-06 06:52:56,402 - mmseg - INFO - per class results: 2023-01-06 06:52:56,405 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 97.52 | 98.5 | | sidewalk | 80.42 | 91.33 | | building | 90.68 | 95.13 | | wall | 43.18 | 50.28 | | fence | 50.68 | 64.21 | | pole | 57.77 | 67.23 | | traffic light | 61.54 | 72.48 | | traffic sign | 71.78 | 79.45 | | vegetation | 91.17 | 96.73 | | terrain | 58.36 | 69.27 | | sky | 94.11 | 97.44 | | person | 73.68 | 90.64 | | rider | 41.8 | 48.83 | | car | 92.18 | 97.09 | | truck | 53.35 | 63.87 | | bus | 63.74 | 79.19 | | train | 28.96 | 33.01 | | motorcycle | 40.24 | 49.89 | | bicycle | 69.8 | 81.82 | +---------------+-------+-------+ 2023-01-06 06:52:56,405 - mmseg - INFO - Summary: 2023-01-06 06:52:56,405 - mmseg - INFO - +------+-------+-------+ | aAcc | mIoU | mAcc | +------+-------+-------+ | 94.8 | 66.37 | 75.07 | +------+-------+-------+ 2023-01-06 06:52:56,406 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 06:52:56,406 - mmseg - INFO - Iter(val) [63] aAcc: 0.9480, mIoU: 0.6637, mAcc: 0.7507, IoU.road: 0.9752, IoU.sidewalk: 0.8042, IoU.building: 0.9068, IoU.wall: 0.4318, IoU.fence: 0.5068, IoU.pole: 0.5777, IoU.traffic light: 0.6154, IoU.traffic sign: 0.7178, IoU.vegetation: 0.9117, IoU.terrain: 0.5836, IoU.sky: 0.9411, IoU.person: 0.7368, IoU.rider: 0.4180, IoU.car: 0.9218, IoU.truck: 0.5335, IoU.bus: 0.6374, IoU.train: 0.2896, IoU.motorcycle: 0.4024, IoU.bicycle: 0.6980, Acc.road: 0.9850, Acc.sidewalk: 0.9133, Acc.building: 0.9513, Acc.wall: 0.5028, Acc.fence: 0.6421, Acc.pole: 0.6723, Acc.traffic light: 0.7248, Acc.traffic sign: 0.7945, Acc.vegetation: 0.9673, Acc.terrain: 0.6927, Acc.sky: 0.9744, Acc.person: 0.9064, Acc.rider: 0.4883, Acc.car: 0.9709, Acc.truck: 0.6387, Acc.bus: 0.7919, Acc.train: 0.3301, Acc.motorcycle: 0.4989, Acc.bicycle: 0.8182 2023-01-06 06:53:12,642 - mmseg - INFO - Iter [80050/160000] lr: 2.998e-05, eta: 7:32:41, time: 0.829, data_time: 0.515, memory: 8466, decode.loss_ce: 0.1192, decode.acc_seg: 95.0987, loss: 0.1192 2023-01-06 06:53:28,994 - mmseg - INFO - Iter [80100/160000] lr: 2.996e-05, eta: 7:32:23, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1238, decode.acc_seg: 95.0398, loss: 0.1238 2023-01-06 06:53:45,421 - mmseg - INFO - Iter [80150/160000] lr: 2.994e-05, eta: 7:32:06, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1207, decode.acc_seg: 95.1615, loss: 0.1207 2023-01-06 06:54:02,173 - mmseg - INFO - Iter [80200/160000] lr: 2.993e-05, eta: 7:31:48, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1176, decode.acc_seg: 95.2148, loss: 0.1176 2023-01-06 06:54:18,637 - mmseg - INFO - Iter [80250/160000] lr: 2.991e-05, eta: 7:31:31, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1239, decode.acc_seg: 94.9167, loss: 0.1239 2023-01-06 06:54:35,199 - mmseg - INFO - Iter [80300/160000] lr: 2.989e-05, eta: 7:31:14, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1306, decode.acc_seg: 94.7973, loss: 0.1306 2023-01-06 06:54:51,591 - mmseg - INFO - Iter [80350/160000] lr: 2.987e-05, eta: 7:30:56, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1236, decode.acc_seg: 95.0307, loss: 0.1236 2023-01-06 06:55:10,491 - mmseg - INFO - Iter [80400/160000] lr: 2.985e-05, eta: 7:30:41, time: 0.378, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1156, decode.acc_seg: 95.2906, loss: 0.1156 2023-01-06 06:55:26,853 - mmseg - INFO - Iter [80450/160000] lr: 2.983e-05, eta: 7:30:23, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1171, decode.acc_seg: 95.3621, loss: 0.1171 2023-01-06 06:55:43,669 - mmseg - INFO - Iter [80500/160000] lr: 2.981e-05, eta: 7:30:06, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1194, decode.acc_seg: 95.2000, loss: 0.1194 2023-01-06 06:55:59,953 - mmseg - INFO - Iter [80550/160000] lr: 2.979e-05, eta: 7:29:48, time: 0.326, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1181, decode.acc_seg: 95.2322, loss: 0.1181 2023-01-06 06:56:16,196 - mmseg - INFO - Iter [80600/160000] lr: 2.978e-05, eta: 7:29:31, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1174, decode.acc_seg: 95.3344, loss: 0.1174 2023-01-06 06:56:32,800 - mmseg - INFO - Iter [80650/160000] lr: 2.976e-05, eta: 7:29:13, time: 0.332, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1168, decode.acc_seg: 95.2388, loss: 0.1168 2023-01-06 06:56:49,131 - mmseg - INFO - Iter [80700/160000] lr: 2.974e-05, eta: 7:28:56, time: 0.326, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1284, decode.acc_seg: 95.0829, loss: 0.1284 2023-01-06 06:57:08,273 - mmseg - INFO - Iter [80750/160000] lr: 2.972e-05, eta: 7:28:41, time: 0.383, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1148, decode.acc_seg: 95.3205, loss: 0.1148 2023-01-06 06:57:24,747 - mmseg - INFO - Iter [80800/160000] lr: 2.970e-05, eta: 7:28:23, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1119, decode.acc_seg: 95.4557, loss: 0.1119 2023-01-06 06:57:41,579 - mmseg - INFO - Iter [80850/160000] lr: 2.968e-05, eta: 7:28:06, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1108, decode.acc_seg: 95.4918, loss: 0.1108 2023-01-06 06:57:58,453 - mmseg - INFO - Iter [80900/160000] lr: 2.966e-05, eta: 7:27:49, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1213, decode.acc_seg: 95.2413, loss: 0.1213 2023-01-06 06:58:14,661 - mmseg - INFO - Iter [80950/160000] lr: 2.964e-05, eta: 7:27:31, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1088, decode.acc_seg: 95.4555, loss: 0.1088 2023-01-06 06:58:31,430 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 06:58:31,430 - mmseg - INFO - Iter [81000/160000] lr: 2.963e-05, eta: 7:27:14, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1223, decode.acc_seg: 95.2335, loss: 0.1223 2023-01-06 06:58:48,160 - mmseg - INFO - Iter [81050/160000] lr: 2.961e-05, eta: 7:26:57, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1238, decode.acc_seg: 94.9980, loss: 0.1238 2023-01-06 06:59:06,711 - mmseg - INFO - Iter [81100/160000] lr: 2.959e-05, eta: 7:26:42, time: 0.371, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1149, decode.acc_seg: 95.4333, loss: 0.1149 2023-01-06 06:59:23,070 - mmseg - INFO - Iter [81150/160000] lr: 2.957e-05, eta: 7:26:24, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1161, decode.acc_seg: 95.2467, loss: 0.1161 2023-01-06 06:59:39,642 - mmseg - INFO - Iter [81200/160000] lr: 2.955e-05, eta: 7:26:07, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1132, decode.acc_seg: 95.5512, loss: 0.1132 2023-01-06 06:59:56,261 - mmseg - INFO - Iter [81250/160000] lr: 2.953e-05, eta: 7:25:49, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1284, decode.acc_seg: 95.1411, loss: 0.1284 2023-01-06 07:00:12,674 - mmseg - INFO - Iter [81300/160000] lr: 2.951e-05, eta: 7:25:32, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1186, decode.acc_seg: 95.1008, loss: 0.1186 2023-01-06 07:00:29,423 - mmseg - INFO - Iter [81350/160000] lr: 2.949e-05, eta: 7:25:14, time: 0.335, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1180, decode.acc_seg: 95.2009, loss: 0.1180 2023-01-06 07:00:45,816 - mmseg - INFO - Iter [81400/160000] lr: 2.948e-05, eta: 7:24:57, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1139, decode.acc_seg: 95.2897, loss: 0.1139 2023-01-06 07:01:02,067 - mmseg - INFO - Iter [81450/160000] lr: 2.946e-05, eta: 7:24:39, time: 0.325, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1240, decode.acc_seg: 95.1755, loss: 0.1240 2023-01-06 07:01:20,694 - mmseg - INFO - Iter [81500/160000] lr: 2.944e-05, eta: 7:24:24, time: 0.373, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1219, decode.acc_seg: 95.0597, loss: 0.1219 2023-01-06 07:01:37,290 - mmseg - INFO - Iter [81550/160000] lr: 2.942e-05, eta: 7:24:06, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1158, decode.acc_seg: 95.2652, loss: 0.1158 2023-01-06 07:01:53,794 - mmseg - INFO - Iter [81600/160000] lr: 2.940e-05, eta: 7:23:49, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1198, decode.acc_seg: 95.0116, loss: 0.1198 2023-01-06 07:02:10,212 - mmseg - INFO - Iter [81650/160000] lr: 2.938e-05, eta: 7:23:32, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1199, decode.acc_seg: 95.2045, loss: 0.1199 2023-01-06 07:02:26,351 - mmseg - INFO - Iter [81700/160000] lr: 2.936e-05, eta: 7:23:14, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1117, decode.acc_seg: 95.4054, loss: 0.1117 2023-01-06 07:02:42,791 - mmseg - INFO - Iter [81750/160000] lr: 2.934e-05, eta: 7:22:56, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1108, decode.acc_seg: 95.5324, loss: 0.1108 2023-01-06 07:02:58,947 - mmseg - INFO - Iter [81800/160000] lr: 2.933e-05, eta: 7:22:38, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1225, decode.acc_seg: 95.0584, loss: 0.1225 2023-01-06 07:03:17,573 - mmseg - INFO - Iter [81850/160000] lr: 2.931e-05, eta: 7:22:23, time: 0.372, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1380, decode.acc_seg: 94.5310, loss: 0.1380 2023-01-06 07:03:34,040 - mmseg - INFO - Iter [81900/160000] lr: 2.929e-05, eta: 7:22:06, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1338, decode.acc_seg: 94.5864, loss: 0.1338 2023-01-06 07:03:50,410 - mmseg - INFO - Iter [81950/160000] lr: 2.927e-05, eta: 7:21:48, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1187, decode.acc_seg: 95.2453, loss: 0.1187 2023-01-06 07:04:07,085 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 07:04:07,085 - mmseg - INFO - Iter [82000/160000] lr: 2.925e-05, eta: 7:21:31, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1123, decode.acc_seg: 95.3798, loss: 0.1123 2023-01-06 07:04:23,745 - mmseg - INFO - Iter [82050/160000] lr: 2.923e-05, eta: 7:21:13, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1161, decode.acc_seg: 95.2715, loss: 0.1161 2023-01-06 07:04:40,273 - mmseg - INFO - Iter [82100/160000] lr: 2.921e-05, eta: 7:20:56, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1276, decode.acc_seg: 94.7826, loss: 0.1276 2023-01-06 07:04:56,695 - mmseg - INFO - Iter [82150/160000] lr: 2.919e-05, eta: 7:20:39, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1137, decode.acc_seg: 95.4839, loss: 0.1137 2023-01-06 07:05:13,597 - mmseg - INFO - Iter [82200/160000] lr: 2.918e-05, eta: 7:20:21, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1233, decode.acc_seg: 95.1050, loss: 0.1233 2023-01-06 07:05:32,612 - mmseg - INFO - Iter [82250/160000] lr: 2.916e-05, eta: 7:20:06, time: 0.380, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1125, decode.acc_seg: 95.4989, loss: 0.1125 2023-01-06 07:05:48,844 - mmseg - INFO - Iter [82300/160000] lr: 2.914e-05, eta: 7:19:49, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1110, decode.acc_seg: 95.4622, loss: 0.1110 2023-01-06 07:06:05,731 - mmseg - INFO - Iter [82350/160000] lr: 2.912e-05, eta: 7:19:32, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1123, decode.acc_seg: 95.5362, loss: 0.1123 2023-01-06 07:06:22,660 - mmseg - INFO - Iter [82400/160000] lr: 2.910e-05, eta: 7:19:15, time: 0.339, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1129, decode.acc_seg: 95.4919, loss: 0.1129 2023-01-06 07:06:39,143 - mmseg - INFO - Iter [82450/160000] lr: 2.908e-05, eta: 7:18:57, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1150, decode.acc_seg: 95.2887, loss: 0.1150 2023-01-06 07:06:55,546 - mmseg - INFO - Iter [82500/160000] lr: 2.906e-05, eta: 7:18:40, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1107, decode.acc_seg: 95.4927, loss: 0.1107 2023-01-06 07:07:12,328 - mmseg - INFO - Iter [82550/160000] lr: 2.904e-05, eta: 7:18:22, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1131, decode.acc_seg: 95.4311, loss: 0.1131 2023-01-06 07:07:31,300 - mmseg - INFO - Iter [82600/160000] lr: 2.903e-05, eta: 7:18:07, time: 0.380, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1158, decode.acc_seg: 95.4197, loss: 0.1158 2023-01-06 07:07:47,675 - mmseg - INFO - Iter [82650/160000] lr: 2.901e-05, eta: 7:17:50, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1068, decode.acc_seg: 95.6422, loss: 0.1068 2023-01-06 07:08:03,952 - mmseg - INFO - Iter [82700/160000] lr: 2.899e-05, eta: 7:17:32, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1171, decode.acc_seg: 95.2486, loss: 0.1171 2023-01-06 07:08:20,584 - mmseg - INFO - Iter [82750/160000] lr: 2.897e-05, eta: 7:17:15, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1193, decode.acc_seg: 95.2084, loss: 0.1193 2023-01-06 07:08:36,594 - mmseg - INFO - Iter [82800/160000] lr: 2.895e-05, eta: 7:16:57, time: 0.320, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1219, decode.acc_seg: 95.1892, loss: 0.1219 2023-01-06 07:08:53,519 - mmseg - INFO - Iter [82850/160000] lr: 2.893e-05, eta: 7:16:40, time: 0.338, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1308, decode.acc_seg: 95.0068, loss: 0.1308 2023-01-06 07:09:09,947 - mmseg - INFO - Iter [82900/160000] lr: 2.891e-05, eta: 7:16:22, time: 0.329, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1249, decode.acc_seg: 94.9969, loss: 0.1249 2023-01-06 07:09:26,520 - mmseg - INFO - Iter [82950/160000] lr: 2.889e-05, eta: 7:16:05, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1148, decode.acc_seg: 95.4384, loss: 0.1148 2023-01-06 07:09:45,040 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 07:09:45,041 - mmseg - INFO - Iter [83000/160000] lr: 2.888e-05, eta: 7:15:50, time: 0.371, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1149, decode.acc_seg: 95.4804, loss: 0.1149 2023-01-06 07:10:01,393 - mmseg - INFO - Iter [83050/160000] lr: 2.886e-05, eta: 7:15:32, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1136, decode.acc_seg: 95.4356, loss: 0.1136 2023-01-06 07:10:18,108 - mmseg - INFO - Iter [83100/160000] lr: 2.884e-05, eta: 7:15:15, time: 0.335, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1202, decode.acc_seg: 95.1726, loss: 0.1202 2023-01-06 07:10:34,354 - mmseg - INFO - Iter [83150/160000] lr: 2.882e-05, eta: 7:14:57, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1198, decode.acc_seg: 95.3173, loss: 0.1198 2023-01-06 07:10:50,708 - mmseg - INFO - Iter [83200/160000] lr: 2.880e-05, eta: 7:14:40, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1274, decode.acc_seg: 95.0796, loss: 0.1274 2023-01-06 07:11:07,113 - mmseg - INFO - Iter [83250/160000] lr: 2.878e-05, eta: 7:14:22, time: 0.328, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1194, decode.acc_seg: 95.2868, loss: 0.1194 2023-01-06 07:11:23,383 - mmseg - INFO - Iter [83300/160000] lr: 2.876e-05, eta: 7:14:04, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1208, decode.acc_seg: 95.2067, loss: 0.1208 2023-01-06 07:11:42,144 - mmseg - INFO - Iter [83350/160000] lr: 2.874e-05, eta: 7:13:49, time: 0.375, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1228, decode.acc_seg: 95.2430, loss: 0.1228 2023-01-06 07:11:58,799 - mmseg - INFO - Iter [83400/160000] lr: 2.873e-05, eta: 7:13:32, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1196, decode.acc_seg: 95.2344, loss: 0.1196 2023-01-06 07:12:15,515 - mmseg - INFO - Iter [83450/160000] lr: 2.871e-05, eta: 7:13:15, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1115, decode.acc_seg: 95.5011, loss: 0.1115 2023-01-06 07:12:31,853 - mmseg - INFO - Iter [83500/160000] lr: 2.869e-05, eta: 7:12:57, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1169, decode.acc_seg: 95.2858, loss: 0.1169 2023-01-06 07:12:48,646 - mmseg - INFO - Iter [83550/160000] lr: 2.867e-05, eta: 7:12:40, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1115, decode.acc_seg: 95.4704, loss: 0.1115 2023-01-06 07:13:04,999 - mmseg - INFO - Iter [83600/160000] lr: 2.865e-05, eta: 7:12:22, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1138, decode.acc_seg: 95.4074, loss: 0.1138 2023-01-06 07:13:21,702 - mmseg - INFO - Iter [83650/160000] lr: 2.863e-05, eta: 7:12:05, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1157, decode.acc_seg: 95.4117, loss: 0.1157 2023-01-06 07:13:38,293 - mmseg - INFO - Iter [83700/160000] lr: 2.861e-05, eta: 7:11:48, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1117, decode.acc_seg: 95.4986, loss: 0.1117 2023-01-06 07:13:56,859 - mmseg - INFO - Iter [83750/160000] lr: 2.859e-05, eta: 7:11:32, time: 0.372, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1149, decode.acc_seg: 95.3700, loss: 0.1149 2023-01-06 07:14:12,905 - mmseg - INFO - Iter [83800/160000] lr: 2.858e-05, eta: 7:11:14, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1087, decode.acc_seg: 95.5909, loss: 0.1087 2023-01-06 07:14:29,354 - mmseg - INFO - Iter [83850/160000] lr: 2.856e-05, eta: 7:10:57, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1203, decode.acc_seg: 95.2312, loss: 0.1203 2023-01-06 07:14:45,674 - mmseg - INFO - Iter [83900/160000] lr: 2.854e-05, eta: 7:10:39, time: 0.326, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1081, decode.acc_seg: 95.5747, loss: 0.1081 2023-01-06 07:15:02,398 - mmseg - INFO - Iter [83950/160000] lr: 2.852e-05, eta: 7:10:22, time: 0.335, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1071, decode.acc_seg: 95.7216, loss: 0.1071 2023-01-06 07:15:18,652 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 07:15:18,652 - mmseg - INFO - Iter [84000/160000] lr: 2.850e-05, eta: 7:10:04, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1132, decode.acc_seg: 95.4529, loss: 0.1132 2023-01-06 07:15:34,766 - mmseg - INFO - Iter [84050/160000] lr: 2.848e-05, eta: 7:09:47, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1141, decode.acc_seg: 95.2968, loss: 0.1141 2023-01-06 07:15:53,766 - mmseg - INFO - Iter [84100/160000] lr: 2.846e-05, eta: 7:09:32, time: 0.380, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1174, decode.acc_seg: 95.2139, loss: 0.1174 2023-01-06 07:16:10,395 - mmseg - INFO - Iter [84150/160000] lr: 2.844e-05, eta: 7:09:14, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1062, decode.acc_seg: 95.6412, loss: 0.1062 2023-01-06 07:16:26,684 - mmseg - INFO - Iter [84200/160000] lr: 2.843e-05, eta: 7:08:57, time: 0.326, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1175, decode.acc_seg: 95.1515, loss: 0.1175 2023-01-06 07:16:43,274 - mmseg - INFO - Iter [84250/160000] lr: 2.841e-05, eta: 7:08:39, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1206, decode.acc_seg: 95.2691, loss: 0.1206 2023-01-06 07:16:59,292 - mmseg - INFO - Iter [84300/160000] lr: 2.839e-05, eta: 7:08:22, time: 0.320, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1073, decode.acc_seg: 95.6110, loss: 0.1073 2023-01-06 07:17:15,502 - mmseg - INFO - Iter [84350/160000] lr: 2.837e-05, eta: 7:08:04, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1145, decode.acc_seg: 95.3391, loss: 0.1145 2023-01-06 07:17:31,991 - mmseg - INFO - Iter [84400/160000] lr: 2.835e-05, eta: 7:07:46, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1205, decode.acc_seg: 95.2476, loss: 0.1205 2023-01-06 07:17:50,600 - mmseg - INFO - Iter [84450/160000] lr: 2.833e-05, eta: 7:07:31, time: 0.372, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1116, decode.acc_seg: 95.4520, loss: 0.1116 2023-01-06 07:18:07,108 - mmseg - INFO - Iter [84500/160000] lr: 2.831e-05, eta: 7:07:14, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1112, decode.acc_seg: 95.5955, loss: 0.1112 2023-01-06 07:18:23,725 - mmseg - INFO - Iter [84550/160000] lr: 2.829e-05, eta: 7:06:56, time: 0.333, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1147, decode.acc_seg: 95.3164, loss: 0.1147 2023-01-06 07:18:39,842 - mmseg - INFO - Iter [84600/160000] lr: 2.828e-05, eta: 7:06:38, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1134, decode.acc_seg: 95.5054, loss: 0.1134 2023-01-06 07:18:56,057 - mmseg - INFO - Iter [84650/160000] lr: 2.826e-05, eta: 7:06:21, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1041, decode.acc_seg: 95.7188, loss: 0.1041 2023-01-06 07:19:12,384 - mmseg - INFO - Iter [84700/160000] lr: 2.824e-05, eta: 7:06:03, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1245, decode.acc_seg: 95.1432, loss: 0.1245 2023-01-06 07:19:28,953 - mmseg - INFO - Iter [84750/160000] lr: 2.822e-05, eta: 7:05:46, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1117, decode.acc_seg: 95.5122, loss: 0.1117 2023-01-06 07:19:45,196 - mmseg - INFO - Iter [84800/160000] lr: 2.820e-05, eta: 7:05:28, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1165, decode.acc_seg: 95.3726, loss: 0.1165 2023-01-06 07:20:03,633 - mmseg - INFO - Iter [84850/160000] lr: 2.818e-05, eta: 7:05:13, time: 0.368, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1240, decode.acc_seg: 95.1901, loss: 0.1240 2023-01-06 07:20:20,108 - mmseg - INFO - Iter [84900/160000] lr: 2.816e-05, eta: 7:04:55, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1159, decode.acc_seg: 95.3257, loss: 0.1159 2023-01-06 07:20:36,637 - mmseg - INFO - Iter [84950/160000] lr: 2.814e-05, eta: 7:04:38, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1116, decode.acc_seg: 95.4667, loss: 0.1116 2023-01-06 07:20:53,295 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 07:20:53,295 - mmseg - INFO - Iter [85000/160000] lr: 2.813e-05, eta: 7:04:21, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1121, decode.acc_seg: 95.4966, loss: 0.1121 2023-01-06 07:21:09,745 - mmseg - INFO - Iter [85050/160000] lr: 2.811e-05, eta: 7:04:03, time: 0.329, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1140, decode.acc_seg: 95.3463, loss: 0.1140 2023-01-06 07:21:26,380 - mmseg - INFO - Iter [85100/160000] lr: 2.809e-05, eta: 7:03:46, time: 0.333, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1254, decode.acc_seg: 95.1300, loss: 0.1254 2023-01-06 07:21:43,585 - mmseg - INFO - Iter [85150/160000] lr: 2.807e-05, eta: 7:03:29, time: 0.344, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1198, decode.acc_seg: 95.2751, loss: 0.1198 2023-01-06 07:22:02,380 - mmseg - INFO - Iter [85200/160000] lr: 2.805e-05, eta: 7:03:14, time: 0.376, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1248, decode.acc_seg: 95.0610, loss: 0.1248 2023-01-06 07:22:18,983 - mmseg - INFO - Iter [85250/160000] lr: 2.803e-05, eta: 7:02:56, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1244, decode.acc_seg: 94.9849, loss: 0.1244 2023-01-06 07:22:35,497 - mmseg - INFO - Iter [85300/160000] lr: 2.801e-05, eta: 7:02:39, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1106, decode.acc_seg: 95.5045, loss: 0.1106 2023-01-06 07:22:52,066 - mmseg - INFO - Iter [85350/160000] lr: 2.799e-05, eta: 7:02:22, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1184, decode.acc_seg: 95.3418, loss: 0.1184 2023-01-06 07:23:08,410 - mmseg - INFO - Iter [85400/160000] lr: 2.798e-05, eta: 7:02:04, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1090, decode.acc_seg: 95.6088, loss: 0.1090 2023-01-06 07:23:25,267 - mmseg - INFO - Iter [85450/160000] lr: 2.796e-05, eta: 7:01:47, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1107, decode.acc_seg: 95.5356, loss: 0.1107 2023-01-06 07:23:42,181 - mmseg - INFO - Iter [85500/160000] lr: 2.794e-05, eta: 7:01:30, time: 0.338, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1189, decode.acc_seg: 95.0724, loss: 0.1189 2023-01-06 07:23:58,699 - mmseg - INFO - Iter [85550/160000] lr: 2.792e-05, eta: 7:01:13, time: 0.331, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1165, decode.acc_seg: 95.3430, loss: 0.1165 2023-01-06 07:24:17,514 - mmseg - INFO - Iter [85600/160000] lr: 2.790e-05, eta: 7:00:57, time: 0.376, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1251, decode.acc_seg: 94.8719, loss: 0.1251 2023-01-06 07:24:33,857 - mmseg - INFO - Iter [85650/160000] lr: 2.788e-05, eta: 7:00:40, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1226, decode.acc_seg: 95.1191, loss: 0.1226 2023-01-06 07:24:50,545 - mmseg - INFO - Iter [85700/160000] lr: 2.786e-05, eta: 7:00:23, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1219, decode.acc_seg: 95.0752, loss: 0.1219 2023-01-06 07:25:06,850 - mmseg - INFO - Iter [85750/160000] lr: 2.784e-05, eta: 7:00:05, time: 0.326, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1099, decode.acc_seg: 95.5995, loss: 0.1099 2023-01-06 07:25:23,318 - mmseg - INFO - Iter [85800/160000] lr: 2.783e-05, eta: 6:59:48, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1123, decode.acc_seg: 95.4856, loss: 0.1123 2023-01-06 07:25:39,430 - mmseg - INFO - Iter [85850/160000] lr: 2.781e-05, eta: 6:59:30, time: 0.322, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1073, decode.acc_seg: 95.6330, loss: 0.1073 2023-01-06 07:25:56,026 - mmseg - INFO - Iter [85900/160000] lr: 2.779e-05, eta: 6:59:13, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1123, decode.acc_seg: 95.4465, loss: 0.1123 2023-01-06 07:26:14,891 - mmseg - INFO - Iter [85950/160000] lr: 2.777e-05, eta: 6:58:57, time: 0.377, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1118, decode.acc_seg: 95.4543, loss: 0.1118 2023-01-06 07:26:31,220 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 07:26:31,221 - mmseg - INFO - Iter [86000/160000] lr: 2.775e-05, eta: 6:58:40, time: 0.327, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1199, decode.acc_seg: 95.2347, loss: 0.1199 2023-01-06 07:26:48,101 - mmseg - INFO - Iter [86050/160000] lr: 2.773e-05, eta: 6:58:23, time: 0.338, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1077, decode.acc_seg: 95.7265, loss: 0.1077 2023-01-06 07:27:04,246 - mmseg - INFO - Iter [86100/160000] lr: 2.771e-05, eta: 6:58:05, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1121, decode.acc_seg: 95.5281, loss: 0.1121 2023-01-06 07:27:20,555 - mmseg - INFO - Iter [86150/160000] lr: 2.769e-05, eta: 6:57:48, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1101, decode.acc_seg: 95.4565, loss: 0.1101 2023-01-06 07:27:36,670 - mmseg - INFO - Iter [86200/160000] lr: 2.768e-05, eta: 6:57:30, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1204, decode.acc_seg: 95.1836, loss: 0.1204 2023-01-06 07:27:53,068 - mmseg - INFO - Iter [86250/160000] lr: 2.766e-05, eta: 6:57:12, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1123, decode.acc_seg: 95.5320, loss: 0.1123 2023-01-06 07:28:09,610 - mmseg - INFO - Iter [86300/160000] lr: 2.764e-05, eta: 6:56:55, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1150, decode.acc_seg: 95.2815, loss: 0.1150 2023-01-06 07:28:28,353 - mmseg - INFO - Iter [86350/160000] lr: 2.762e-05, eta: 6:56:40, time: 0.375, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1134, decode.acc_seg: 95.4558, loss: 0.1134 2023-01-06 07:28:44,749 - mmseg - INFO - Iter [86400/160000] lr: 2.760e-05, eta: 6:56:22, time: 0.328, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1132, decode.acc_seg: 95.4376, loss: 0.1132 2023-01-06 07:29:00,829 - mmseg - INFO - Iter [86450/160000] lr: 2.758e-05, eta: 6:56:04, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1147, decode.acc_seg: 95.4049, loss: 0.1147 2023-01-06 07:29:17,411 - mmseg - INFO - Iter [86500/160000] lr: 2.756e-05, eta: 6:55:47, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1169, decode.acc_seg: 95.4071, loss: 0.1169 2023-01-06 07:29:33,867 - mmseg - INFO - Iter [86550/160000] lr: 2.754e-05, eta: 6:55:30, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1187, decode.acc_seg: 95.2537, loss: 0.1187 2023-01-06 07:29:50,342 - mmseg - INFO - Iter [86600/160000] lr: 2.753e-05, eta: 6:55:12, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1106, decode.acc_seg: 95.4038, loss: 0.1106 2023-01-06 07:30:06,704 - mmseg - INFO - Iter [86650/160000] lr: 2.751e-05, eta: 6:54:55, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1217, decode.acc_seg: 95.2505, loss: 0.1217 2023-01-06 07:30:25,409 - mmseg - INFO - Iter [86700/160000] lr: 2.749e-05, eta: 6:54:39, time: 0.374, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1061, decode.acc_seg: 95.5777, loss: 0.1061 2023-01-06 07:30:41,692 - mmseg - INFO - Iter [86750/160000] lr: 2.747e-05, eta: 6:54:22, time: 0.326, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1097, decode.acc_seg: 95.5612, loss: 0.1097 2023-01-06 07:30:58,029 - mmseg - INFO - Iter [86800/160000] lr: 2.745e-05, eta: 6:54:04, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1173, decode.acc_seg: 95.3502, loss: 0.1173 2023-01-06 07:31:14,774 - mmseg - INFO - Iter [86850/160000] lr: 2.743e-05, eta: 6:53:47, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1146, decode.acc_seg: 95.3494, loss: 0.1146 2023-01-06 07:31:31,430 - mmseg - INFO - Iter [86900/160000] lr: 2.741e-05, eta: 6:53:30, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1090, decode.acc_seg: 95.5700, loss: 0.1090 2023-01-06 07:31:47,776 - mmseg - INFO - Iter [86950/160000] lr: 2.739e-05, eta: 6:53:12, time: 0.327, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1131, decode.acc_seg: 95.4356, loss: 0.1131 2023-01-06 07:32:03,918 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 07:32:03,919 - mmseg - INFO - Iter [87000/160000] lr: 2.738e-05, eta: 6:52:55, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1181, decode.acc_seg: 95.3587, loss: 0.1181 2023-01-06 07:32:22,426 - mmseg - INFO - Iter [87050/160000] lr: 2.736e-05, eta: 6:52:39, time: 0.370, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1163, decode.acc_seg: 95.3311, loss: 0.1163 2023-01-06 07:32:38,738 - mmseg - INFO - Iter [87100/160000] lr: 2.734e-05, eta: 6:52:21, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1138, decode.acc_seg: 95.3369, loss: 0.1138 2023-01-06 07:32:55,350 - mmseg - INFO - Iter [87150/160000] lr: 2.732e-05, eta: 6:52:04, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1108, decode.acc_seg: 95.5170, loss: 0.1108 2023-01-06 07:33:12,285 - mmseg - INFO - Iter [87200/160000] lr: 2.730e-05, eta: 6:51:47, time: 0.339, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1217, decode.acc_seg: 95.0708, loss: 0.1217 2023-01-06 07:33:28,808 - mmseg - INFO - Iter [87250/160000] lr: 2.728e-05, eta: 6:51:30, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1301, decode.acc_seg: 94.8578, loss: 0.1301 2023-01-06 07:33:45,146 - mmseg - INFO - Iter [87300/160000] lr: 2.726e-05, eta: 6:51:12, time: 0.327, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1222, decode.acc_seg: 95.0724, loss: 0.1222 2023-01-06 07:34:01,427 - mmseg - INFO - Iter [87350/160000] lr: 2.724e-05, eta: 6:50:55, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1140, decode.acc_seg: 95.4766, loss: 0.1140 2023-01-06 07:34:17,583 - mmseg - INFO - Iter [87400/160000] lr: 2.723e-05, eta: 6:50:37, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1175, decode.acc_seg: 95.2547, loss: 0.1175 2023-01-06 07:34:36,491 - mmseg - INFO - Iter [87450/160000] lr: 2.721e-05, eta: 6:50:22, time: 0.378, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1125, decode.acc_seg: 95.4366, loss: 0.1125 2023-01-06 07:34:53,360 - mmseg - INFO - Iter [87500/160000] lr: 2.719e-05, eta: 6:50:05, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1185, decode.acc_seg: 95.3988, loss: 0.1185 2023-01-06 07:35:10,434 - mmseg - INFO - Iter [87550/160000] lr: 2.717e-05, eta: 6:49:48, time: 0.342, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1114, decode.acc_seg: 95.4520, loss: 0.1114 2023-01-06 07:35:27,103 - mmseg - INFO - Iter [87600/160000] lr: 2.715e-05, eta: 6:49:31, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1117, decode.acc_seg: 95.4755, loss: 0.1117 2023-01-06 07:35:43,425 - mmseg - INFO - Iter [87650/160000] lr: 2.713e-05, eta: 6:49:13, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1236, decode.acc_seg: 94.9712, loss: 0.1236 2023-01-06 07:35:59,646 - mmseg - INFO - Iter [87700/160000] lr: 2.711e-05, eta: 6:48:56, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1187, decode.acc_seg: 95.2093, loss: 0.1187 2023-01-06 07:36:15,880 - mmseg - INFO - Iter [87750/160000] lr: 2.709e-05, eta: 6:48:38, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1201, decode.acc_seg: 95.2667, loss: 0.1201 2023-01-06 07:36:34,718 - mmseg - INFO - Iter [87800/160000] lr: 2.708e-05, eta: 6:48:23, time: 0.377, data_time: 0.057, memory: 8466, decode.loss_ce: 0.1112, decode.acc_seg: 95.6392, loss: 0.1112 2023-01-06 07:36:51,134 - mmseg - INFO - Iter [87850/160000] lr: 2.706e-05, eta: 6:48:05, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1173, decode.acc_seg: 95.2917, loss: 0.1173 2023-01-06 07:37:07,496 - mmseg - INFO - Iter [87900/160000] lr: 2.704e-05, eta: 6:47:48, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1173, decode.acc_seg: 95.4708, loss: 0.1173 2023-01-06 07:37:24,668 - mmseg - INFO - Iter [87950/160000] lr: 2.702e-05, eta: 6:47:31, time: 0.343, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1169, decode.acc_seg: 95.3447, loss: 0.1169 2023-01-06 07:37:41,476 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 07:37:41,476 - mmseg - INFO - Iter [88000/160000] lr: 2.700e-05, eta: 6:47:14, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1170, decode.acc_seg: 95.3316, loss: 0.1170 2023-01-06 07:37:57,777 - mmseg - INFO - Iter [88050/160000] lr: 2.698e-05, eta: 6:46:56, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1193, decode.acc_seg: 95.3836, loss: 0.1193 2023-01-06 07:38:14,369 - mmseg - INFO - Iter [88100/160000] lr: 2.696e-05, eta: 6:46:39, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1072, decode.acc_seg: 95.5472, loss: 0.1072 2023-01-06 07:38:30,608 - mmseg - INFO - Iter [88150/160000] lr: 2.694e-05, eta: 6:46:21, time: 0.325, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1115, decode.acc_seg: 95.4225, loss: 0.1115 2023-01-06 07:38:49,300 - mmseg - INFO - Iter [88200/160000] lr: 2.693e-05, eta: 6:46:06, time: 0.373, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1064, decode.acc_seg: 95.5637, loss: 0.1064 2023-01-06 07:39:05,557 - mmseg - INFO - Iter [88250/160000] lr: 2.691e-05, eta: 6:45:48, time: 0.326, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1162, decode.acc_seg: 95.3532, loss: 0.1162 2023-01-06 07:39:22,122 - mmseg - INFO - Iter [88300/160000] lr: 2.689e-05, eta: 6:45:31, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1089, decode.acc_seg: 95.6454, loss: 0.1089 2023-01-06 07:39:38,364 - mmseg - INFO - Iter [88350/160000] lr: 2.687e-05, eta: 6:45:13, time: 0.325, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1084, decode.acc_seg: 95.6307, loss: 0.1084 2023-01-06 07:39:54,614 - mmseg - INFO - Iter [88400/160000] lr: 2.685e-05, eta: 6:44:56, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1076, decode.acc_seg: 95.6600, loss: 0.1076 2023-01-06 07:40:10,822 - mmseg - INFO - Iter [88450/160000] lr: 2.683e-05, eta: 6:44:38, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1140, decode.acc_seg: 95.3848, loss: 0.1140 2023-01-06 07:40:27,436 - mmseg - INFO - Iter [88500/160000] lr: 2.681e-05, eta: 6:44:21, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1174, decode.acc_seg: 95.2503, loss: 0.1174 2023-01-06 07:40:45,902 - mmseg - INFO - Iter [88550/160000] lr: 2.679e-05, eta: 6:44:05, time: 0.370, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1165, decode.acc_seg: 95.2980, loss: 0.1165 2023-01-06 07:41:02,613 - mmseg - INFO - Iter [88600/160000] lr: 2.678e-05, eta: 6:43:48, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1151, decode.acc_seg: 95.4028, loss: 0.1151 2023-01-06 07:41:19,188 - mmseg - INFO - Iter [88650/160000] lr: 2.676e-05, eta: 6:43:31, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1109, decode.acc_seg: 95.5365, loss: 0.1109 2023-01-06 07:41:35,773 - mmseg - INFO - Iter [88700/160000] lr: 2.674e-05, eta: 6:43:14, time: 0.332, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1175, decode.acc_seg: 95.1725, loss: 0.1175 2023-01-06 07:41:51,873 - mmseg - INFO - Iter [88750/160000] lr: 2.672e-05, eta: 6:42:56, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1118, decode.acc_seg: 95.4471, loss: 0.1118 2023-01-06 07:42:08,185 - mmseg - INFO - Iter [88800/160000] lr: 2.670e-05, eta: 6:42:38, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1097, decode.acc_seg: 95.4371, loss: 0.1097 2023-01-06 07:42:24,859 - mmseg - INFO - Iter [88850/160000] lr: 2.668e-05, eta: 6:42:21, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1196, decode.acc_seg: 95.2772, loss: 0.1196 2023-01-06 07:42:40,920 - mmseg - INFO - Iter [88900/160000] lr: 2.666e-05, eta: 6:42:04, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1180, decode.acc_seg: 95.2485, loss: 0.1180 2023-01-06 07:42:59,534 - mmseg - INFO - Iter [88950/160000] lr: 2.664e-05, eta: 6:41:48, time: 0.372, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1164, decode.acc_seg: 95.3866, loss: 0.1164 2023-01-06 07:43:16,377 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 07:43:16,377 - mmseg - INFO - Iter [89000/160000] lr: 2.663e-05, eta: 6:41:31, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1092, decode.acc_seg: 95.5492, loss: 0.1092 2023-01-06 07:43:32,787 - mmseg - INFO - Iter [89050/160000] lr: 2.661e-05, eta: 6:41:13, time: 0.328, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1221, decode.acc_seg: 95.2096, loss: 0.1221 2023-01-06 07:43:48,910 - mmseg - INFO - Iter [89100/160000] lr: 2.659e-05, eta: 6:40:56, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1164, decode.acc_seg: 95.3655, loss: 0.1164 2023-01-06 07:44:05,434 - mmseg - INFO - Iter [89150/160000] lr: 2.657e-05, eta: 6:40:38, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1124, decode.acc_seg: 95.4627, loss: 0.1124 2023-01-06 07:44:21,661 - mmseg - INFO - Iter [89200/160000] lr: 2.655e-05, eta: 6:40:21, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1108, decode.acc_seg: 95.4829, loss: 0.1108 2023-01-06 07:44:38,247 - mmseg - INFO - Iter [89250/160000] lr: 2.653e-05, eta: 6:40:04, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1198, decode.acc_seg: 95.2444, loss: 0.1198 2023-01-06 07:44:57,096 - mmseg - INFO - Iter [89300/160000] lr: 2.651e-05, eta: 6:39:48, time: 0.377, data_time: 0.057, memory: 8466, decode.loss_ce: 0.1070, decode.acc_seg: 95.5912, loss: 0.1070 2023-01-06 07:45:13,745 - mmseg - INFO - Iter [89350/160000] lr: 2.649e-05, eta: 6:39:31, time: 0.333, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1109, decode.acc_seg: 95.5615, loss: 0.1109 2023-01-06 07:45:30,481 - mmseg - INFO - Iter [89400/160000] lr: 2.648e-05, eta: 6:39:14, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1011, decode.acc_seg: 95.9072, loss: 0.1011 2023-01-06 07:45:46,862 - mmseg - INFO - Iter [89450/160000] lr: 2.646e-05, eta: 6:38:56, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1120, decode.acc_seg: 95.5169, loss: 0.1120 2023-01-06 07:46:03,512 - mmseg - INFO - Iter [89500/160000] lr: 2.644e-05, eta: 6:38:39, time: 0.333, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1116, decode.acc_seg: 95.4088, loss: 0.1116 2023-01-06 07:46:19,727 - mmseg - INFO - Iter [89550/160000] lr: 2.642e-05, eta: 6:38:22, time: 0.324, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1118, decode.acc_seg: 95.4569, loss: 0.1118 2023-01-06 07:46:36,011 - mmseg - INFO - Iter [89600/160000] lr: 2.640e-05, eta: 6:38:04, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1217, decode.acc_seg: 95.1202, loss: 0.1217 2023-01-06 07:46:52,664 - mmseg - INFO - Iter [89650/160000] lr: 2.638e-05, eta: 6:37:47, time: 0.333, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1221, decode.acc_seg: 95.0262, loss: 0.1221 2023-01-06 07:47:11,227 - mmseg - INFO - Iter [89700/160000] lr: 2.636e-05, eta: 6:37:31, time: 0.371, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1129, decode.acc_seg: 95.4345, loss: 0.1129 2023-01-06 07:47:27,754 - mmseg - INFO - Iter [89750/160000] lr: 2.634e-05, eta: 6:37:14, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1104, decode.acc_seg: 95.3642, loss: 0.1104 2023-01-06 07:47:44,439 - mmseg - INFO - Iter [89800/160000] lr: 2.633e-05, eta: 6:36:57, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1162, decode.acc_seg: 95.3291, loss: 0.1162 2023-01-06 07:48:00,843 - mmseg - INFO - Iter [89850/160000] lr: 2.631e-05, eta: 6:36:39, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1158, decode.acc_seg: 95.3862, loss: 0.1158 2023-01-06 07:48:17,320 - mmseg - INFO - Iter [89900/160000] lr: 2.629e-05, eta: 6:36:22, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1068, decode.acc_seg: 95.6921, loss: 0.1068 2023-01-06 07:48:33,770 - mmseg - INFO - Iter [89950/160000] lr: 2.627e-05, eta: 6:36:05, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1121, decode.acc_seg: 95.5218, loss: 0.1121 2023-01-06 07:48:50,097 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 07:48:50,098 - mmseg - INFO - Iter [90000/160000] lr: 2.625e-05, eta: 6:35:47, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1162, decode.acc_seg: 95.3026, loss: 0.1162 2023-01-06 07:49:09,015 - mmseg - INFO - Iter [90050/160000] lr: 2.623e-05, eta: 6:35:32, time: 0.378, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1158, decode.acc_seg: 95.2534, loss: 0.1158 2023-01-06 07:49:25,268 - mmseg - INFO - Iter [90100/160000] lr: 2.621e-05, eta: 6:35:14, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1191, decode.acc_seg: 95.2180, loss: 0.1191 2023-01-06 07:49:42,083 - mmseg - INFO - Iter [90150/160000] lr: 2.619e-05, eta: 6:34:57, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1115, decode.acc_seg: 95.5458, loss: 0.1115 2023-01-06 07:49:58,331 - mmseg - INFO - Iter [90200/160000] lr: 2.618e-05, eta: 6:34:40, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1155, decode.acc_seg: 95.4352, loss: 0.1155 2023-01-06 07:50:14,501 - mmseg - INFO - Iter [90250/160000] lr: 2.616e-05, eta: 6:34:22, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1084, decode.acc_seg: 95.6211, loss: 0.1084 2023-01-06 07:50:30,978 - mmseg - INFO - Iter [90300/160000] lr: 2.614e-05, eta: 6:34:05, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1118, decode.acc_seg: 95.4961, loss: 0.1118 2023-01-06 07:50:47,276 - mmseg - INFO - Iter [90350/160000] lr: 2.612e-05, eta: 6:33:47, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0964, decode.acc_seg: 96.0107, loss: 0.0964 2023-01-06 07:51:05,734 - mmseg - INFO - Iter [90400/160000] lr: 2.610e-05, eta: 6:33:31, time: 0.369, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1181, decode.acc_seg: 95.2963, loss: 0.1181 2023-01-06 07:51:22,079 - mmseg - INFO - Iter [90450/160000] lr: 2.608e-05, eta: 6:33:14, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1055, decode.acc_seg: 95.6149, loss: 0.1055 2023-01-06 07:51:38,799 - mmseg - INFO - Iter [90500/160000] lr: 2.606e-05, eta: 6:32:57, time: 0.335, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1080, decode.acc_seg: 95.4917, loss: 0.1080 2023-01-06 07:51:55,532 - mmseg - INFO - Iter [90550/160000] lr: 2.604e-05, eta: 6:32:40, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1161, decode.acc_seg: 95.4337, loss: 0.1161 2023-01-06 07:52:12,125 - mmseg - INFO - Iter [90600/160000] lr: 2.603e-05, eta: 6:32:22, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1271, decode.acc_seg: 94.8079, loss: 0.1271 2023-01-06 07:52:29,103 - mmseg - INFO - Iter [90650/160000] lr: 2.601e-05, eta: 6:32:05, time: 0.340, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1135, decode.acc_seg: 95.5075, loss: 0.1135 2023-01-06 07:52:45,605 - mmseg - INFO - Iter [90700/160000] lr: 2.599e-05, eta: 6:31:48, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1160, decode.acc_seg: 95.3728, loss: 0.1160 2023-01-06 07:53:02,255 - mmseg - INFO - Iter [90750/160000] lr: 2.597e-05, eta: 6:31:31, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1170, decode.acc_seg: 95.2818, loss: 0.1170 2023-01-06 07:53:21,131 - mmseg - INFO - Iter [90800/160000] lr: 2.595e-05, eta: 6:31:15, time: 0.377, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1166, decode.acc_seg: 95.4115, loss: 0.1166 2023-01-06 07:53:37,671 - mmseg - INFO - Iter [90850/160000] lr: 2.593e-05, eta: 6:30:58, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1117, decode.acc_seg: 95.4487, loss: 0.1117 2023-01-06 07:53:54,647 - mmseg - INFO - Iter [90900/160000] lr: 2.591e-05, eta: 6:30:41, time: 0.339, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1156, decode.acc_seg: 95.4725, loss: 0.1156 2023-01-06 07:54:10,953 - mmseg - INFO - Iter [90950/160000] lr: 2.589e-05, eta: 6:30:24, time: 0.326, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1083, decode.acc_seg: 95.5276, loss: 0.1083 2023-01-06 07:54:27,086 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 07:54:27,087 - mmseg - INFO - Iter [91000/160000] lr: 2.588e-05, eta: 6:30:06, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1295, decode.acc_seg: 94.9895, loss: 0.1295 2023-01-06 07:54:43,202 - mmseg - INFO - Iter [91050/160000] lr: 2.586e-05, eta: 6:29:49, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1125, decode.acc_seg: 95.4206, loss: 0.1125 2023-01-06 07:54:59,452 - mmseg - INFO - Iter [91100/160000] lr: 2.584e-05, eta: 6:29:31, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1072, decode.acc_seg: 95.6907, loss: 0.1072 2023-01-06 07:55:18,282 - mmseg - INFO - Iter [91150/160000] lr: 2.582e-05, eta: 6:29:16, time: 0.377, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1135, decode.acc_seg: 95.4405, loss: 0.1135 2023-01-06 07:55:34,849 - mmseg - INFO - Iter [91200/160000] lr: 2.580e-05, eta: 6:28:58, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1108, decode.acc_seg: 95.5645, loss: 0.1108 2023-01-06 07:55:51,256 - mmseg - INFO - Iter [91250/160000] lr: 2.578e-05, eta: 6:28:41, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1080, decode.acc_seg: 95.5419, loss: 0.1080 2023-01-06 07:56:07,557 - mmseg - INFO - Iter [91300/160000] lr: 2.576e-05, eta: 6:28:23, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1123, decode.acc_seg: 95.5327, loss: 0.1123 2023-01-06 07:56:24,205 - mmseg - INFO - Iter [91350/160000] lr: 2.574e-05, eta: 6:28:06, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1087, decode.acc_seg: 95.6382, loss: 0.1087 2023-01-06 07:56:40,845 - mmseg - INFO - Iter [91400/160000] lr: 2.573e-05, eta: 6:27:49, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1141, decode.acc_seg: 95.4096, loss: 0.1141 2023-01-06 07:56:57,734 - mmseg - INFO - Iter [91450/160000] lr: 2.571e-05, eta: 6:27:32, time: 0.338, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1076, decode.acc_seg: 95.6976, loss: 0.1076 2023-01-06 07:57:14,484 - mmseg - INFO - Iter [91500/160000] lr: 2.569e-05, eta: 6:27:15, time: 0.335, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1139, decode.acc_seg: 95.3936, loss: 0.1139 2023-01-06 07:57:33,208 - mmseg - INFO - Iter [91550/160000] lr: 2.567e-05, eta: 6:26:59, time: 0.375, data_time: 0.057, memory: 8466, decode.loss_ce: 0.1097, decode.acc_seg: 95.5217, loss: 0.1097 2023-01-06 07:57:49,301 - mmseg - INFO - Iter [91600/160000] lr: 2.565e-05, eta: 6:26:42, time: 0.322, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1136, decode.acc_seg: 95.4469, loss: 0.1136 2023-01-06 07:58:05,840 - mmseg - INFO - Iter [91650/160000] lr: 2.563e-05, eta: 6:26:24, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1152, decode.acc_seg: 95.4341, loss: 0.1152 2023-01-06 07:58:22,023 - mmseg - INFO - Iter [91700/160000] lr: 2.561e-05, eta: 6:26:07, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1072, decode.acc_seg: 95.5519, loss: 0.1072 2023-01-06 07:58:38,196 - mmseg - INFO - Iter [91750/160000] lr: 2.559e-05, eta: 6:25:49, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1080, decode.acc_seg: 95.5712, loss: 0.1080 2023-01-06 07:58:54,705 - mmseg - INFO - Iter [91800/160000] lr: 2.558e-05, eta: 6:25:32, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1105, decode.acc_seg: 95.5161, loss: 0.1105 2023-01-06 07:59:11,160 - mmseg - INFO - Iter [91850/160000] lr: 2.556e-05, eta: 6:25:15, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1080, decode.acc_seg: 95.5655, loss: 0.1080 2023-01-06 07:59:29,807 - mmseg - INFO - Iter [91900/160000] lr: 2.554e-05, eta: 6:24:59, time: 0.373, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1144, decode.acc_seg: 95.4876, loss: 0.1144 2023-01-06 07:59:46,023 - mmseg - INFO - Iter [91950/160000] lr: 2.552e-05, eta: 6:24:41, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1162, decode.acc_seg: 95.3382, loss: 0.1162 2023-01-06 08:00:02,199 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 08:00:02,199 - mmseg - INFO - Iter [92000/160000] lr: 2.550e-05, eta: 6:24:24, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1179, decode.acc_seg: 95.3597, loss: 0.1179 2023-01-06 08:00:18,916 - mmseg - INFO - Iter [92050/160000] lr: 2.548e-05, eta: 6:24:07, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1074, decode.acc_seg: 95.6219, loss: 0.1074 2023-01-06 08:00:35,469 - mmseg - INFO - Iter [92100/160000] lr: 2.546e-05, eta: 6:23:50, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1107, decode.acc_seg: 95.5044, loss: 0.1107 2023-01-06 08:00:51,967 - mmseg - INFO - Iter [92150/160000] lr: 2.544e-05, eta: 6:23:32, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1137, decode.acc_seg: 95.4442, loss: 0.1137 2023-01-06 08:01:08,489 - mmseg - INFO - Iter [92200/160000] lr: 2.543e-05, eta: 6:23:15, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1131, decode.acc_seg: 95.4573, loss: 0.1131 2023-01-06 08:01:25,105 - mmseg - INFO - Iter [92250/160000] lr: 2.541e-05, eta: 6:22:58, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1094, decode.acc_seg: 95.4894, loss: 0.1094 2023-01-06 08:01:44,146 - mmseg - INFO - Iter [92300/160000] lr: 2.539e-05, eta: 6:22:42, time: 0.381, data_time: 0.054, memory: 8466, decode.loss_ce: 0.1063, decode.acc_seg: 95.5889, loss: 0.1063 2023-01-06 08:02:00,462 - mmseg - INFO - Iter [92350/160000] lr: 2.537e-05, eta: 6:22:25, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1035, decode.acc_seg: 95.7370, loss: 0.1035 2023-01-06 08:02:16,741 - mmseg - INFO - Iter [92400/160000] lr: 2.535e-05, eta: 6:22:07, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1114, decode.acc_seg: 95.4823, loss: 0.1114 2023-01-06 08:02:33,594 - mmseg - INFO - Iter [92450/160000] lr: 2.533e-05, eta: 6:21:50, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1120, decode.acc_seg: 95.5534, loss: 0.1120 2023-01-06 08:02:49,806 - mmseg - INFO - Iter [92500/160000] lr: 2.531e-05, eta: 6:21:33, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1133, decode.acc_seg: 95.3468, loss: 0.1133 2023-01-06 08:03:05,906 - mmseg - INFO - Iter [92550/160000] lr: 2.529e-05, eta: 6:21:15, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1091, decode.acc_seg: 95.6035, loss: 0.1091 2023-01-06 08:03:22,771 - mmseg - INFO - Iter [92600/160000] lr: 2.528e-05, eta: 6:20:58, time: 0.337, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1077, decode.acc_seg: 95.5219, loss: 0.1077 2023-01-06 08:03:42,015 - mmseg - INFO - Iter [92650/160000] lr: 2.526e-05, eta: 6:20:43, time: 0.385, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1056, decode.acc_seg: 95.7252, loss: 0.1056 2023-01-06 08:03:58,564 - mmseg - INFO - Iter [92700/160000] lr: 2.524e-05, eta: 6:20:26, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1041, decode.acc_seg: 95.7073, loss: 0.1041 2023-01-06 08:04:15,089 - mmseg - INFO - Iter [92750/160000] lr: 2.522e-05, eta: 6:20:08, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1188, decode.acc_seg: 95.2791, loss: 0.1188 2023-01-06 08:04:31,068 - mmseg - INFO - Iter [92800/160000] lr: 2.520e-05, eta: 6:19:51, time: 0.319, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1148, decode.acc_seg: 95.1050, loss: 0.1148 2023-01-06 08:04:47,959 - mmseg - INFO - Iter [92850/160000] lr: 2.518e-05, eta: 6:19:34, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1197, decode.acc_seg: 95.3032, loss: 0.1197 2023-01-06 08:05:04,655 - mmseg - INFO - Iter [92900/160000] lr: 2.516e-05, eta: 6:19:17, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1165, decode.acc_seg: 95.1578, loss: 0.1165 2023-01-06 08:05:21,810 - mmseg - INFO - Iter [92950/160000] lr: 2.514e-05, eta: 6:19:00, time: 0.343, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1085, decode.acc_seg: 95.5422, loss: 0.1085 2023-01-06 08:05:38,260 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 08:05:38,261 - mmseg - INFO - Iter [93000/160000] lr: 2.513e-05, eta: 6:18:42, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1074, decode.acc_seg: 95.6310, loss: 0.1074 2023-01-06 08:05:57,248 - mmseg - INFO - Iter [93050/160000] lr: 2.511e-05, eta: 6:18:27, time: 0.380, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1052, decode.acc_seg: 95.6233, loss: 0.1052 2023-01-06 08:06:13,427 - mmseg - INFO - Iter [93100/160000] lr: 2.509e-05, eta: 6:18:09, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1095, decode.acc_seg: 95.4967, loss: 0.1095 2023-01-06 08:06:29,651 - mmseg - INFO - Iter [93150/160000] lr: 2.507e-05, eta: 6:17:52, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1229, decode.acc_seg: 95.2544, loss: 0.1229 2023-01-06 08:06:46,078 - mmseg - INFO - Iter [93200/160000] lr: 2.505e-05, eta: 6:17:35, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1204, decode.acc_seg: 95.0824, loss: 0.1204 2023-01-06 08:07:02,276 - mmseg - INFO - Iter [93250/160000] lr: 2.503e-05, eta: 6:17:17, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1046, decode.acc_seg: 95.7757, loss: 0.1046 2023-01-06 08:07:18,588 - mmseg - INFO - Iter [93300/160000] lr: 2.501e-05, eta: 6:17:00, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1071, decode.acc_seg: 95.5798, loss: 0.1071 2023-01-06 08:07:35,013 - mmseg - INFO - Iter [93350/160000] lr: 2.499e-05, eta: 6:16:42, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1141, decode.acc_seg: 95.3923, loss: 0.1141 2023-01-06 08:07:53,791 - mmseg - INFO - Iter [93400/160000] lr: 2.498e-05, eta: 6:16:27, time: 0.376, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1064, decode.acc_seg: 95.6511, loss: 0.1064 2023-01-06 08:08:10,016 - mmseg - INFO - Iter [93450/160000] lr: 2.496e-05, eta: 6:16:09, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1101, decode.acc_seg: 95.5423, loss: 0.1101 2023-01-06 08:08:26,315 - mmseg - INFO - Iter [93500/160000] lr: 2.494e-05, eta: 6:15:52, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1115, decode.acc_seg: 95.5559, loss: 0.1115 2023-01-06 08:08:42,996 - mmseg - INFO - Iter [93550/160000] lr: 2.492e-05, eta: 6:15:35, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1132, decode.acc_seg: 95.3855, loss: 0.1132 2023-01-06 08:08:59,281 - mmseg - INFO - Iter [93600/160000] lr: 2.490e-05, eta: 6:15:17, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1039, decode.acc_seg: 95.7401, loss: 0.1039 2023-01-06 08:09:15,982 - mmseg - INFO - Iter [93650/160000] lr: 2.488e-05, eta: 6:15:00, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1133, decode.acc_seg: 95.4386, loss: 0.1133 2023-01-06 08:09:32,529 - mmseg - INFO - Iter [93700/160000] lr: 2.486e-05, eta: 6:14:43, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1046, decode.acc_seg: 95.6854, loss: 0.1046 2023-01-06 08:09:50,976 - mmseg - INFO - Iter [93750/160000] lr: 2.484e-05, eta: 6:14:27, time: 0.369, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1084, decode.acc_seg: 95.6964, loss: 0.1084 2023-01-06 08:10:07,316 - mmseg - INFO - Iter [93800/160000] lr: 2.483e-05, eta: 6:14:10, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1092, decode.acc_seg: 95.5090, loss: 0.1092 2023-01-06 08:10:23,490 - mmseg - INFO - Iter [93850/160000] lr: 2.481e-05, eta: 6:13:52, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1005, decode.acc_seg: 95.8533, loss: 0.1005 2023-01-06 08:10:40,282 - mmseg - INFO - Iter [93900/160000] lr: 2.479e-05, eta: 6:13:35, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1112, decode.acc_seg: 95.4590, loss: 0.1112 2023-01-06 08:10:56,448 - mmseg - INFO - Iter [93950/160000] lr: 2.477e-05, eta: 6:13:17, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1074, decode.acc_seg: 95.5482, loss: 0.1074 2023-01-06 08:11:12,959 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 08:11:12,959 - mmseg - INFO - Iter [94000/160000] lr: 2.475e-05, eta: 6:13:00, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1097, decode.acc_seg: 95.6381, loss: 0.1097 2023-01-06 08:11:29,423 - mmseg - INFO - Iter [94050/160000] lr: 2.473e-05, eta: 6:12:43, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1108, decode.acc_seg: 95.5153, loss: 0.1108 2023-01-06 08:11:46,344 - mmseg - INFO - Iter [94100/160000] lr: 2.471e-05, eta: 6:12:26, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1113, decode.acc_seg: 95.4747, loss: 0.1113 2023-01-06 08:12:05,060 - mmseg - INFO - Iter [94150/160000] lr: 2.469e-05, eta: 6:12:10, time: 0.375, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1029, decode.acc_seg: 95.9123, loss: 0.1029 2023-01-06 08:12:21,389 - mmseg - INFO - Iter [94200/160000] lr: 2.468e-05, eta: 6:11:53, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1030, decode.acc_seg: 95.7822, loss: 0.1030 2023-01-06 08:12:37,923 - mmseg - INFO - Iter [94250/160000] lr: 2.466e-05, eta: 6:11:36, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1075, decode.acc_seg: 95.6019, loss: 0.1075 2023-01-06 08:12:55,534 - mmseg - INFO - Iter [94300/160000] lr: 2.464e-05, eta: 6:11:19, time: 0.352, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1135, decode.acc_seg: 95.3937, loss: 0.1135 2023-01-06 08:13:11,934 - mmseg - INFO - Iter [94350/160000] lr: 2.462e-05, eta: 6:11:02, time: 0.328, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1082, decode.acc_seg: 95.6335, loss: 0.1082 2023-01-06 08:13:28,396 - mmseg - INFO - Iter [94400/160000] lr: 2.460e-05, eta: 6:10:44, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1054, decode.acc_seg: 95.6740, loss: 0.1054 2023-01-06 08:13:44,378 - mmseg - INFO - Iter [94450/160000] lr: 2.458e-05, eta: 6:10:27, time: 0.320, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1086, decode.acc_seg: 95.4748, loss: 0.1086 2023-01-06 08:14:03,034 - mmseg - INFO - Iter [94500/160000] lr: 2.456e-05, eta: 6:10:11, time: 0.373, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1017, decode.acc_seg: 95.6632, loss: 0.1017 2023-01-06 08:14:19,114 - mmseg - INFO - Iter [94550/160000] lr: 2.454e-05, eta: 6:09:53, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1205, decode.acc_seg: 95.2318, loss: 0.1205 2023-01-06 08:14:35,250 - mmseg - INFO - Iter [94600/160000] lr: 2.453e-05, eta: 6:09:36, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1158, decode.acc_seg: 95.2965, loss: 0.1158 2023-01-06 08:14:51,497 - mmseg - INFO - Iter [94650/160000] lr: 2.451e-05, eta: 6:09:18, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1095, decode.acc_seg: 95.6113, loss: 0.1095 2023-01-06 08:15:07,884 - mmseg - INFO - Iter [94700/160000] lr: 2.449e-05, eta: 6:09:01, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1027, decode.acc_seg: 95.7460, loss: 0.1027 2023-01-06 08:15:24,519 - mmseg - INFO - Iter [94750/160000] lr: 2.447e-05, eta: 6:08:44, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1083, decode.acc_seg: 95.5367, loss: 0.1083 2023-01-06 08:15:41,038 - mmseg - INFO - Iter [94800/160000] lr: 2.445e-05, eta: 6:08:27, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1048, decode.acc_seg: 95.8272, loss: 0.1048 2023-01-06 08:15:57,701 - mmseg - INFO - Iter [94850/160000] lr: 2.443e-05, eta: 6:08:10, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1042, decode.acc_seg: 95.6966, loss: 0.1042 2023-01-06 08:16:16,148 - mmseg - INFO - Iter [94900/160000] lr: 2.441e-05, eta: 6:07:54, time: 0.369, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1110, decode.acc_seg: 95.5994, loss: 0.1110 2023-01-06 08:16:32,477 - mmseg - INFO - Iter [94950/160000] lr: 2.439e-05, eta: 6:07:36, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1147, decode.acc_seg: 95.4000, loss: 0.1147 2023-01-06 08:16:49,303 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 08:16:49,304 - mmseg - INFO - Iter [95000/160000] lr: 2.438e-05, eta: 6:07:19, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0983, decode.acc_seg: 95.9432, loss: 0.0983 2023-01-06 08:17:05,569 - mmseg - INFO - Iter [95050/160000] lr: 2.436e-05, eta: 6:07:02, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1105, decode.acc_seg: 95.6487, loss: 0.1105 2023-01-06 08:17:21,854 - mmseg - INFO - Iter [95100/160000] lr: 2.434e-05, eta: 6:06:44, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1137, decode.acc_seg: 95.4474, loss: 0.1137 2023-01-06 08:17:38,128 - mmseg - INFO - Iter [95150/160000] lr: 2.432e-05, eta: 6:06:27, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1137, decode.acc_seg: 95.3939, loss: 0.1137 2023-01-06 08:17:54,229 - mmseg - INFO - Iter [95200/160000] lr: 2.430e-05, eta: 6:06:09, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1129, decode.acc_seg: 95.4368, loss: 0.1129 2023-01-06 08:18:13,073 - mmseg - INFO - Iter [95250/160000] lr: 2.428e-05, eta: 6:05:54, time: 0.376, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1073, decode.acc_seg: 95.5493, loss: 0.1073 2023-01-06 08:18:29,254 - mmseg - INFO - Iter [95300/160000] lr: 2.426e-05, eta: 6:05:36, time: 0.324, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1024, decode.acc_seg: 95.7530, loss: 0.1024 2023-01-06 08:18:45,329 - mmseg - INFO - Iter [95350/160000] lr: 2.424e-05, eta: 6:05:19, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1079, decode.acc_seg: 95.6260, loss: 0.1079 2023-01-06 08:19:01,485 - mmseg - INFO - Iter [95400/160000] lr: 2.423e-05, eta: 6:05:01, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1102, decode.acc_seg: 95.5853, loss: 0.1102 2023-01-06 08:19:18,127 - mmseg - INFO - Iter [95450/160000] lr: 2.421e-05, eta: 6:04:44, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1055, decode.acc_seg: 95.6059, loss: 0.1055 2023-01-06 08:19:34,672 - mmseg - INFO - Iter [95500/160000] lr: 2.419e-05, eta: 6:04:27, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1050, decode.acc_seg: 95.7267, loss: 0.1050 2023-01-06 08:19:51,298 - mmseg - INFO - Iter [95550/160000] lr: 2.417e-05, eta: 6:04:10, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1121, decode.acc_seg: 95.5037, loss: 0.1121 2023-01-06 08:20:07,510 - mmseg - INFO - Iter [95600/160000] lr: 2.415e-05, eta: 6:03:52, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1117, decode.acc_seg: 95.5034, loss: 0.1117 2023-01-06 08:20:26,293 - mmseg - INFO - Iter [95650/160000] lr: 2.413e-05, eta: 6:03:36, time: 0.376, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1063, decode.acc_seg: 95.7254, loss: 0.1063 2023-01-06 08:20:43,442 - mmseg - INFO - Iter [95700/160000] lr: 2.411e-05, eta: 6:03:20, time: 0.343, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1080, decode.acc_seg: 95.5193, loss: 0.1080 2023-01-06 08:20:59,830 - mmseg - INFO - Iter [95750/160000] lr: 2.409e-05, eta: 6:03:02, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1001, decode.acc_seg: 95.8275, loss: 0.1001 2023-01-06 08:21:16,016 - mmseg - INFO - Iter [95800/160000] lr: 2.408e-05, eta: 6:02:45, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1080, decode.acc_seg: 95.6538, loss: 0.1080 2023-01-06 08:21:32,152 - mmseg - INFO - Iter [95850/160000] lr: 2.406e-05, eta: 6:02:27, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1141, decode.acc_seg: 95.4131, loss: 0.1141 2023-01-06 08:21:48,602 - mmseg - INFO - Iter [95900/160000] lr: 2.404e-05, eta: 6:02:10, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1196, decode.acc_seg: 95.1842, loss: 0.1196 2023-01-06 08:22:05,094 - mmseg - INFO - Iter [95950/160000] lr: 2.402e-05, eta: 6:01:53, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1114, decode.acc_seg: 95.4703, loss: 0.1114 2023-01-06 08:22:23,446 - mmseg - INFO - Saving checkpoint at 96000 iterations 2023-01-06 08:22:26,415 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 08:22:26,415 - mmseg - INFO - Iter [96000/160000] lr: 2.400e-05, eta: 6:01:39, time: 0.427, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1111, decode.acc_seg: 95.4152, loss: 0.1111 2023-01-06 08:22:51,642 - mmseg - INFO - per class results: 2023-01-06 08:22:51,644 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 97.2 | 99.0 | | sidewalk | 79.0 | 85.93 | | building | 90.65 | 96.36 | | wall | 49.22 | 57.75 | | fence | 49.03 | 60.64 | | pole | 59.11 | 68.78 | | traffic light | 63.1 | 76.01 | | traffic sign | 70.94 | 76.42 | | vegetation | 91.58 | 96.03 | | terrain | 56.89 | 63.17 | | sky | 93.91 | 98.14 | | person | 75.82 | 88.12 | | rider | 48.91 | 57.94 | | car | 92.8 | 96.79 | | truck | 53.62 | 63.57 | | bus | 61.71 | 84.74 | | train | 12.81 | 13.36 | | motorcycle | 41.53 | 52.54 | | bicycle | 71.22 | 83.33 | +---------------+-------+-------+ 2023-01-06 08:22:51,645 - mmseg - INFO - Summary: 2023-01-06 08:22:51,645 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 94.83 | 66.27 | 74.66 | +-------+-------+-------+ 2023-01-06 08:22:51,646 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 08:22:51,646 - mmseg - INFO - Iter(val) [63] aAcc: 0.9483, mIoU: 0.6627, mAcc: 0.7466, IoU.road: 0.9720, IoU.sidewalk: 0.7900, IoU.building: 0.9065, IoU.wall: 0.4922, IoU.fence: 0.4903, IoU.pole: 0.5911, IoU.traffic light: 0.6310, IoU.traffic sign: 0.7094, IoU.vegetation: 0.9158, IoU.terrain: 0.5689, IoU.sky: 0.9391, IoU.person: 0.7582, IoU.rider: 0.4891, IoU.car: 0.9280, IoU.truck: 0.5362, IoU.bus: 0.6171, IoU.train: 0.1281, IoU.motorcycle: 0.4153, IoU.bicycle: 0.7122, Acc.road: 0.9900, Acc.sidewalk: 0.8593, Acc.building: 0.9636, Acc.wall: 0.5775, Acc.fence: 0.6064, Acc.pole: 0.6878, Acc.traffic light: 0.7601, Acc.traffic sign: 0.7642, Acc.vegetation: 0.9603, Acc.terrain: 0.6317, Acc.sky: 0.9814, Acc.person: 0.8812, Acc.rider: 0.5794, Acc.car: 0.9679, Acc.truck: 0.6357, Acc.bus: 0.8474, Acc.train: 0.1336, Acc.motorcycle: 0.5254, Acc.bicycle: 0.8333 2023-01-06 08:23:07,785 - mmseg - INFO - Iter [96050/160000] lr: 2.398e-05, eta: 6:01:38, time: 0.827, data_time: 0.515, memory: 8466, decode.loss_ce: 0.1053, decode.acc_seg: 95.7534, loss: 0.1053 2023-01-06 08:23:23,792 - mmseg - INFO - Iter [96100/160000] lr: 2.396e-05, eta: 6:01:20, time: 0.320, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1282, decode.acc_seg: 95.0179, loss: 0.1282 2023-01-06 08:23:40,180 - mmseg - INFO - Iter [96150/160000] lr: 2.394e-05, eta: 6:01:03, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1079, decode.acc_seg: 95.6258, loss: 0.1079 2023-01-06 08:23:56,363 - mmseg - INFO - Iter [96200/160000] lr: 2.393e-05, eta: 6:00:46, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1197, decode.acc_seg: 95.3550, loss: 0.1197 2023-01-06 08:24:12,627 - mmseg - INFO - Iter [96250/160000] lr: 2.391e-05, eta: 6:00:28, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1124, decode.acc_seg: 95.5188, loss: 0.1124 2023-01-06 08:24:28,789 - mmseg - INFO - Iter [96300/160000] lr: 2.389e-05, eta: 6:00:11, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1156, decode.acc_seg: 95.4660, loss: 0.1156 2023-01-06 08:24:47,433 - mmseg - INFO - Iter [96350/160000] lr: 2.387e-05, eta: 5:59:55, time: 0.373, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1154, decode.acc_seg: 95.5081, loss: 0.1154 2023-01-06 08:25:03,765 - mmseg - INFO - Iter [96400/160000] lr: 2.385e-05, eta: 5:59:38, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1120, decode.acc_seg: 95.6296, loss: 0.1120 2023-01-06 08:25:20,404 - mmseg - INFO - Iter [96450/160000] lr: 2.383e-05, eta: 5:59:20, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1202, decode.acc_seg: 95.1843, loss: 0.1202 2023-01-06 08:25:37,177 - mmseg - INFO - Iter [96500/160000] lr: 2.381e-05, eta: 5:59:03, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1083, decode.acc_seg: 95.6612, loss: 0.1083 2023-01-06 08:25:53,754 - mmseg - INFO - Iter [96550/160000] lr: 2.379e-05, eta: 5:58:46, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1060, decode.acc_seg: 95.6145, loss: 0.1060 2023-01-06 08:26:09,999 - mmseg - INFO - Iter [96600/160000] lr: 2.378e-05, eta: 5:58:29, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1053, decode.acc_seg: 95.6499, loss: 0.1053 2023-01-06 08:26:26,690 - mmseg - INFO - Iter [96650/160000] lr: 2.376e-05, eta: 5:58:11, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1092, decode.acc_seg: 95.6076, loss: 0.1092 2023-01-06 08:26:43,206 - mmseg - INFO - Iter [96700/160000] lr: 2.374e-05, eta: 5:57:54, time: 0.331, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1077, decode.acc_seg: 95.6432, loss: 0.1077 2023-01-06 08:27:01,709 - mmseg - INFO - Iter [96750/160000] lr: 2.372e-05, eta: 5:57:38, time: 0.370, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1064, decode.acc_seg: 95.6763, loss: 0.1064 2023-01-06 08:27:18,191 - mmseg - INFO - Iter [96800/160000] lr: 2.370e-05, eta: 5:57:21, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1051, decode.acc_seg: 95.7779, loss: 0.1051 2023-01-06 08:27:34,536 - mmseg - INFO - Iter [96850/160000] lr: 2.368e-05, eta: 5:57:04, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1096, decode.acc_seg: 95.5974, loss: 0.1096 2023-01-06 08:27:50,664 - mmseg - INFO - Iter [96900/160000] lr: 2.366e-05, eta: 5:56:46, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1104, decode.acc_seg: 95.5108, loss: 0.1104 2023-01-06 08:28:06,921 - mmseg - INFO - Iter [96950/160000] lr: 2.364e-05, eta: 5:56:29, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1040, decode.acc_seg: 95.7283, loss: 0.1040 2023-01-06 08:28:23,025 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 08:28:23,025 - mmseg - INFO - Iter [97000/160000] lr: 2.363e-05, eta: 5:56:11, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1116, decode.acc_seg: 95.5273, loss: 0.1116 2023-01-06 08:28:39,372 - mmseg - INFO - Iter [97050/160000] lr: 2.361e-05, eta: 5:55:54, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1115, decode.acc_seg: 95.4660, loss: 0.1115 2023-01-06 08:28:58,136 - mmseg - INFO - Iter [97100/160000] lr: 2.359e-05, eta: 5:55:38, time: 0.375, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1109, decode.acc_seg: 95.5521, loss: 0.1109 2023-01-06 08:29:14,571 - mmseg - INFO - Iter [97150/160000] lr: 2.357e-05, eta: 5:55:21, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1106, decode.acc_seg: 95.5933, loss: 0.1106 2023-01-06 08:29:31,032 - mmseg - INFO - Iter [97200/160000] lr: 2.355e-05, eta: 5:55:03, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1108, decode.acc_seg: 95.5385, loss: 0.1108 2023-01-06 08:29:47,757 - mmseg - INFO - Iter [97250/160000] lr: 2.353e-05, eta: 5:54:46, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0982, decode.acc_seg: 95.9490, loss: 0.0982 2023-01-06 08:30:03,894 - mmseg - INFO - Iter [97300/160000] lr: 2.351e-05, eta: 5:54:29, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1020, decode.acc_seg: 95.6747, loss: 0.1020 2023-01-06 08:30:20,375 - mmseg - INFO - Iter [97350/160000] lr: 2.349e-05, eta: 5:54:12, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0996, decode.acc_seg: 95.9132, loss: 0.0996 2023-01-06 08:30:36,698 - mmseg - INFO - Iter [97400/160000] lr: 2.348e-05, eta: 5:53:54, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1030, decode.acc_seg: 95.8127, loss: 0.1030 2023-01-06 08:30:52,922 - mmseg - INFO - Iter [97450/160000] lr: 2.346e-05, eta: 5:53:37, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1023, decode.acc_seg: 95.7471, loss: 0.1023 2023-01-06 08:31:11,512 - mmseg - INFO - Iter [97500/160000] lr: 2.344e-05, eta: 5:53:21, time: 0.372, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1109, decode.acc_seg: 95.4228, loss: 0.1109 2023-01-06 08:31:28,057 - mmseg - INFO - Iter [97550/160000] lr: 2.342e-05, eta: 5:53:04, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1137, decode.acc_seg: 95.3443, loss: 0.1137 2023-01-06 08:31:44,110 - mmseg - INFO - Iter [97600/160000] lr: 2.340e-05, eta: 5:52:46, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1097, decode.acc_seg: 95.6117, loss: 0.1097 2023-01-06 08:32:00,356 - mmseg - INFO - Iter [97650/160000] lr: 2.338e-05, eta: 5:52:29, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1021, decode.acc_seg: 95.8501, loss: 0.1021 2023-01-06 08:32:16,515 - mmseg - INFO - Iter [97700/160000] lr: 2.336e-05, eta: 5:52:11, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1039, decode.acc_seg: 95.7250, loss: 0.1039 2023-01-06 08:32:32,777 - mmseg - INFO - Iter [97750/160000] lr: 2.334e-05, eta: 5:51:54, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1044, decode.acc_seg: 95.5937, loss: 0.1044 2023-01-06 08:32:48,889 - mmseg - INFO - Iter [97800/160000] lr: 2.333e-05, eta: 5:51:36, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1137, decode.acc_seg: 95.3774, loss: 0.1137 2023-01-06 08:33:07,855 - mmseg - INFO - Iter [97850/160000] lr: 2.331e-05, eta: 5:51:21, time: 0.379, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1019, decode.acc_seg: 95.7386, loss: 0.1019 2023-01-06 08:33:24,764 - mmseg - INFO - Iter [97900/160000] lr: 2.329e-05, eta: 5:51:04, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1073, decode.acc_seg: 95.5879, loss: 0.1073 2023-01-06 08:33:41,083 - mmseg - INFO - Iter [97950/160000] lr: 2.327e-05, eta: 5:50:46, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1033, decode.acc_seg: 95.6938, loss: 0.1033 2023-01-06 08:33:57,339 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 08:33:57,340 - mmseg - INFO - Iter [98000/160000] lr: 2.325e-05, eta: 5:50:29, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1045, decode.acc_seg: 95.6943, loss: 0.1045 2023-01-06 08:34:13,580 - mmseg - INFO - Iter [98050/160000] lr: 2.323e-05, eta: 5:50:11, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1023, decode.acc_seg: 95.8025, loss: 0.1023 2023-01-06 08:34:30,095 - mmseg - INFO - Iter [98100/160000] lr: 2.321e-05, eta: 5:49:54, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1006, decode.acc_seg: 95.8289, loss: 0.1006 2023-01-06 08:34:46,270 - mmseg - INFO - Iter [98150/160000] lr: 2.319e-05, eta: 5:49:37, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0991, decode.acc_seg: 95.9287, loss: 0.0991 2023-01-06 08:35:02,604 - mmseg - INFO - Iter [98200/160000] lr: 2.318e-05, eta: 5:49:19, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1042, decode.acc_seg: 95.7930, loss: 0.1042 2023-01-06 08:35:21,503 - mmseg - INFO - Iter [98250/160000] lr: 2.316e-05, eta: 5:49:04, time: 0.378, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1107, decode.acc_seg: 95.4514, loss: 0.1107 2023-01-06 08:35:38,201 - mmseg - INFO - Iter [98300/160000] lr: 2.314e-05, eta: 5:48:46, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1001, decode.acc_seg: 95.8910, loss: 0.1001 2023-01-06 08:35:55,008 - mmseg - INFO - Iter [98350/160000] lr: 2.312e-05, eta: 5:48:29, time: 0.336, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1052, decode.acc_seg: 95.5779, loss: 0.1052 2023-01-06 08:36:11,504 - mmseg - INFO - Iter [98400/160000] lr: 2.310e-05, eta: 5:48:12, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1168, decode.acc_seg: 95.2233, loss: 0.1168 2023-01-06 08:36:27,655 - mmseg - INFO - Iter [98450/160000] lr: 2.308e-05, eta: 5:47:55, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1034, decode.acc_seg: 95.7543, loss: 0.1034 2023-01-06 08:36:43,771 - mmseg - INFO - Iter [98500/160000] lr: 2.306e-05, eta: 5:47:37, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1102, decode.acc_seg: 95.4352, loss: 0.1102 2023-01-06 08:37:00,481 - mmseg - INFO - Iter [98550/160000] lr: 2.304e-05, eta: 5:47:20, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1010, decode.acc_seg: 95.8480, loss: 0.1010 2023-01-06 08:37:18,834 - mmseg - INFO - Iter [98600/160000] lr: 2.303e-05, eta: 5:47:04, time: 0.367, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1120, decode.acc_seg: 95.4902, loss: 0.1120 2023-01-06 08:37:35,296 - mmseg - INFO - Iter [98650/160000] lr: 2.301e-05, eta: 5:46:47, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1168, decode.acc_seg: 95.3463, loss: 0.1168 2023-01-06 08:37:51,945 - mmseg - INFO - Iter [98700/160000] lr: 2.299e-05, eta: 5:46:30, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1020, decode.acc_seg: 95.8240, loss: 0.1020 2023-01-06 08:38:09,074 - mmseg - INFO - Iter [98750/160000] lr: 2.297e-05, eta: 5:46:13, time: 0.343, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1065, decode.acc_seg: 95.6999, loss: 0.1065 2023-01-06 08:38:25,327 - mmseg - INFO - Iter [98800/160000] lr: 2.295e-05, eta: 5:45:55, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1072, decode.acc_seg: 95.6249, loss: 0.1072 2023-01-06 08:38:41,573 - mmseg - INFO - Iter [98850/160000] lr: 2.293e-05, eta: 5:45:38, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1002, decode.acc_seg: 95.8625, loss: 0.1002 2023-01-06 08:38:58,182 - mmseg - INFO - Iter [98900/160000] lr: 2.291e-05, eta: 5:45:21, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1095, decode.acc_seg: 95.6375, loss: 0.1095 2023-01-06 08:39:14,533 - mmseg - INFO - Iter [98950/160000] lr: 2.289e-05, eta: 5:45:03, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1003, decode.acc_seg: 95.9170, loss: 0.1003 2023-01-06 08:39:33,519 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 08:39:33,520 - mmseg - INFO - Iter [99000/160000] lr: 2.288e-05, eta: 5:44:48, time: 0.380, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1052, decode.acc_seg: 95.7405, loss: 0.1052 2023-01-06 08:39:50,027 - mmseg - INFO - Iter [99050/160000] lr: 2.286e-05, eta: 5:44:31, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1090, decode.acc_seg: 95.5212, loss: 0.1090 2023-01-06 08:40:06,483 - mmseg - INFO - Iter [99100/160000] lr: 2.284e-05, eta: 5:44:13, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1028, decode.acc_seg: 95.8235, loss: 0.1028 2023-01-06 08:40:22,549 - mmseg - INFO - Iter [99150/160000] lr: 2.282e-05, eta: 5:43:56, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1126, decode.acc_seg: 95.4915, loss: 0.1126 2023-01-06 08:40:39,167 - mmseg - INFO - Iter [99200/160000] lr: 2.280e-05, eta: 5:43:39, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1152, decode.acc_seg: 95.3764, loss: 0.1152 2023-01-06 08:40:55,821 - mmseg - INFO - Iter [99250/160000] lr: 2.278e-05, eta: 5:43:21, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1140, decode.acc_seg: 95.3894, loss: 0.1140 2023-01-06 08:41:12,138 - mmseg - INFO - Iter [99300/160000] lr: 2.276e-05, eta: 5:43:04, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1104, decode.acc_seg: 95.5473, loss: 0.1104 2023-01-06 08:41:30,884 - mmseg - INFO - Iter [99350/160000] lr: 2.274e-05, eta: 5:42:48, time: 0.375, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1072, decode.acc_seg: 95.7355, loss: 0.1072 2023-01-06 08:41:47,351 - mmseg - INFO - Iter [99400/160000] lr: 2.273e-05, eta: 5:42:31, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1029, decode.acc_seg: 95.7720, loss: 0.1029 2023-01-06 08:42:03,651 - mmseg - INFO - Iter [99450/160000] lr: 2.271e-05, eta: 5:42:14, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1073, decode.acc_seg: 95.5792, loss: 0.1073 2023-01-06 08:42:20,554 - mmseg - INFO - Iter [99500/160000] lr: 2.269e-05, eta: 5:41:57, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1092, decode.acc_seg: 95.5226, loss: 0.1092 2023-01-06 08:42:37,419 - mmseg - INFO - Iter [99550/160000] lr: 2.267e-05, eta: 5:41:40, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1087, decode.acc_seg: 95.6919, loss: 0.1087 2023-01-06 08:42:54,031 - mmseg - INFO - Iter [99600/160000] lr: 2.265e-05, eta: 5:41:22, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1096, decode.acc_seg: 95.7015, loss: 0.1096 2023-01-06 08:43:10,747 - mmseg - INFO - Iter [99650/160000] lr: 2.263e-05, eta: 5:41:05, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1032, decode.acc_seg: 95.6712, loss: 0.1032 2023-01-06 08:43:29,552 - mmseg - INFO - Iter [99700/160000] lr: 2.261e-05, eta: 5:40:50, time: 0.376, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1043, decode.acc_seg: 95.6644, loss: 0.1043 2023-01-06 08:43:45,845 - mmseg - INFO - Iter [99750/160000] lr: 2.259e-05, eta: 5:40:32, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1093, decode.acc_seg: 95.5896, loss: 0.1093 2023-01-06 08:44:02,223 - mmseg - INFO - Iter [99800/160000] lr: 2.258e-05, eta: 5:40:15, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1054, decode.acc_seg: 95.6062, loss: 0.1054 2023-01-06 08:44:18,263 - mmseg - INFO - Iter [99850/160000] lr: 2.256e-05, eta: 5:39:57, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0986, decode.acc_seg: 95.8721, loss: 0.0986 2023-01-06 08:44:34,393 - mmseg - INFO - Iter [99900/160000] lr: 2.254e-05, eta: 5:39:40, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1017, decode.acc_seg: 95.8027, loss: 0.1017 2023-01-06 08:44:51,196 - mmseg - INFO - Iter [99950/160000] lr: 2.252e-05, eta: 5:39:23, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1109, decode.acc_seg: 95.5389, loss: 0.1109 2023-01-06 08:45:07,750 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 08:45:07,751 - mmseg - INFO - Iter [100000/160000] lr: 2.250e-05, eta: 5:39:06, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1088, decode.acc_seg: 95.5083, loss: 0.1088 2023-01-06 08:45:24,290 - mmseg - INFO - Iter [100050/160000] lr: 2.248e-05, eta: 5:38:48, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1050, decode.acc_seg: 95.7011, loss: 0.1050 2023-01-06 08:45:42,770 - mmseg - INFO - Iter [100100/160000] lr: 2.246e-05, eta: 5:38:32, time: 0.370, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1038, decode.acc_seg: 95.8251, loss: 0.1038 2023-01-06 08:45:58,976 - mmseg - INFO - Iter [100150/160000] lr: 2.244e-05, eta: 5:38:15, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1079, decode.acc_seg: 95.4672, loss: 0.1079 2023-01-06 08:46:15,078 - mmseg - INFO - Iter [100200/160000] lr: 2.243e-05, eta: 5:37:58, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0970, decode.acc_seg: 95.9834, loss: 0.0970 2023-01-06 08:46:31,708 - mmseg - INFO - Iter [100250/160000] lr: 2.241e-05, eta: 5:37:40, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1092, decode.acc_seg: 95.5644, loss: 0.1092 2023-01-06 08:46:48,097 - mmseg - INFO - Iter [100300/160000] lr: 2.239e-05, eta: 5:37:23, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1094, decode.acc_seg: 95.5242, loss: 0.1094 2023-01-06 08:47:04,458 - mmseg - INFO - Iter [100350/160000] lr: 2.237e-05, eta: 5:37:06, time: 0.328, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1105, decode.acc_seg: 95.4555, loss: 0.1105 2023-01-06 08:47:20,961 - mmseg - INFO - Iter [100400/160000] lr: 2.235e-05, eta: 5:36:49, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1096, decode.acc_seg: 95.6249, loss: 0.1096 2023-01-06 08:47:39,339 - mmseg - INFO - Iter [100450/160000] lr: 2.233e-05, eta: 5:36:32, time: 0.368, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1147, decode.acc_seg: 95.2808, loss: 0.1147 2023-01-06 08:47:55,664 - mmseg - INFO - Iter [100500/160000] lr: 2.231e-05, eta: 5:36:15, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0993, decode.acc_seg: 95.8904, loss: 0.0993 2023-01-06 08:48:12,043 - mmseg - INFO - Iter [100550/160000] lr: 2.229e-05, eta: 5:35:58, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1078, decode.acc_seg: 95.4908, loss: 0.1078 2023-01-06 08:48:28,343 - mmseg - INFO - Iter [100600/160000] lr: 2.228e-05, eta: 5:35:40, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1060, decode.acc_seg: 95.6231, loss: 0.1060 2023-01-06 08:48:44,903 - mmseg - INFO - Iter [100650/160000] lr: 2.226e-05, eta: 5:35:23, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1092, decode.acc_seg: 95.6042, loss: 0.1092 2023-01-06 08:49:01,818 - mmseg - INFO - Iter [100700/160000] lr: 2.224e-05, eta: 5:35:06, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1091, decode.acc_seg: 95.6718, loss: 0.1091 2023-01-06 08:49:18,375 - mmseg - INFO - Iter [100750/160000] lr: 2.222e-05, eta: 5:34:49, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1024, decode.acc_seg: 95.8934, loss: 0.1024 2023-01-06 08:49:35,030 - mmseg - INFO - Iter [100800/160000] lr: 2.220e-05, eta: 5:34:32, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0968, decode.acc_seg: 96.0130, loss: 0.0968 2023-01-06 08:49:53,658 - mmseg - INFO - Iter [100850/160000] lr: 2.218e-05, eta: 5:34:16, time: 0.372, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1017, decode.acc_seg: 95.8277, loss: 0.1017 2023-01-06 08:50:10,155 - mmseg - INFO - Iter [100900/160000] lr: 2.216e-05, eta: 5:33:59, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1051, decode.acc_seg: 95.8047, loss: 0.1051 2023-01-06 08:50:26,599 - mmseg - INFO - Iter [100950/160000] lr: 2.214e-05, eta: 5:33:42, time: 0.329, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1073, decode.acc_seg: 95.6230, loss: 0.1073 2023-01-06 08:50:43,190 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 08:50:43,191 - mmseg - INFO - Iter [101000/160000] lr: 2.213e-05, eta: 5:33:24, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1039, decode.acc_seg: 95.7173, loss: 0.1039 2023-01-06 08:50:59,485 - mmseg - INFO - Iter [101050/160000] lr: 2.211e-05, eta: 5:33:07, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1002, decode.acc_seg: 95.8956, loss: 0.1002 2023-01-06 08:51:16,291 - mmseg - INFO - Iter [101100/160000] lr: 2.209e-05, eta: 5:32:50, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1087, decode.acc_seg: 95.5936, loss: 0.1087 2023-01-06 08:51:32,356 - mmseg - INFO - Iter [101150/160000] lr: 2.207e-05, eta: 5:32:33, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1006, decode.acc_seg: 95.8249, loss: 0.1006 2023-01-06 08:51:50,912 - mmseg - INFO - Iter [101200/160000] lr: 2.205e-05, eta: 5:32:17, time: 0.372, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1004, decode.acc_seg: 95.8720, loss: 0.1004 2023-01-06 08:52:07,174 - mmseg - INFO - Iter [101250/160000] lr: 2.203e-05, eta: 5:31:59, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1002, decode.acc_seg: 95.8199, loss: 0.1002 2023-01-06 08:52:23,571 - mmseg - INFO - Iter [101300/160000] lr: 2.201e-05, eta: 5:31:42, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0950, decode.acc_seg: 95.9764, loss: 0.0950 2023-01-06 08:52:40,164 - mmseg - INFO - Iter [101350/160000] lr: 2.199e-05, eta: 5:31:25, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1043, decode.acc_seg: 95.7767, loss: 0.1043 2023-01-06 08:52:56,636 - mmseg - INFO - Iter [101400/160000] lr: 2.198e-05, eta: 5:31:08, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1086, decode.acc_seg: 95.6450, loss: 0.1086 2023-01-06 08:53:12,934 - mmseg - INFO - Iter [101450/160000] lr: 2.196e-05, eta: 5:30:50, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1058, decode.acc_seg: 95.5698, loss: 0.1058 2023-01-06 08:53:29,102 - mmseg - INFO - Iter [101500/160000] lr: 2.194e-05, eta: 5:30:33, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1022, decode.acc_seg: 95.7971, loss: 0.1022 2023-01-06 08:53:45,799 - mmseg - INFO - Iter [101550/160000] lr: 2.192e-05, eta: 5:30:16, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1102, decode.acc_seg: 95.5238, loss: 0.1102 2023-01-06 08:54:04,726 - mmseg - INFO - Iter [101600/160000] lr: 2.190e-05, eta: 5:30:00, time: 0.379, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1069, decode.acc_seg: 95.6998, loss: 0.1069 2023-01-06 08:54:21,073 - mmseg - INFO - Iter [101650/160000] lr: 2.188e-05, eta: 5:29:43, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1067, decode.acc_seg: 95.6603, loss: 0.1067 2023-01-06 08:54:37,579 - mmseg - INFO - Iter [101700/160000] lr: 2.186e-05, eta: 5:29:25, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1060, decode.acc_seg: 95.8155, loss: 0.1060 2023-01-06 08:54:54,078 - mmseg - INFO - Iter [101750/160000] lr: 2.184e-05, eta: 5:29:08, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1137, decode.acc_seg: 95.2558, loss: 0.1137 2023-01-06 08:55:10,451 - mmseg - INFO - Iter [101800/160000] lr: 2.183e-05, eta: 5:28:51, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1117, decode.acc_seg: 95.5584, loss: 0.1117 2023-01-06 08:55:26,807 - mmseg - INFO - Iter [101850/160000] lr: 2.181e-05, eta: 5:28:34, time: 0.327, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1091, decode.acc_seg: 95.6446, loss: 0.1091 2023-01-06 08:55:42,933 - mmseg - INFO - Iter [101900/160000] lr: 2.179e-05, eta: 5:28:16, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1083, decode.acc_seg: 95.5706, loss: 0.1083 2023-01-06 08:56:01,872 - mmseg - INFO - Iter [101950/160000] lr: 2.177e-05, eta: 5:28:00, time: 0.379, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1009, decode.acc_seg: 95.8258, loss: 0.1009 2023-01-06 08:56:18,187 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 08:56:18,188 - mmseg - INFO - Iter [102000/160000] lr: 2.175e-05, eta: 5:27:43, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1044, decode.acc_seg: 95.6983, loss: 0.1044 2023-01-06 08:56:34,383 - mmseg - INFO - Iter [102050/160000] lr: 2.173e-05, eta: 5:27:26, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1044, decode.acc_seg: 95.8136, loss: 0.1044 2023-01-06 08:56:50,900 - mmseg - INFO - Iter [102100/160000] lr: 2.171e-05, eta: 5:27:08, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1065, decode.acc_seg: 95.6902, loss: 0.1065 2023-01-06 08:57:07,273 - mmseg - INFO - Iter [102150/160000] lr: 2.169e-05, eta: 5:26:51, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1088, decode.acc_seg: 95.5841, loss: 0.1088 2023-01-06 08:57:23,577 - mmseg - INFO - Iter [102200/160000] lr: 2.168e-05, eta: 5:26:34, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0976, decode.acc_seg: 95.8774, loss: 0.0976 2023-01-06 08:57:39,812 - mmseg - INFO - Iter [102250/160000] lr: 2.166e-05, eta: 5:26:16, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1045, decode.acc_seg: 95.7125, loss: 0.1045 2023-01-06 08:57:56,429 - mmseg - INFO - Iter [102300/160000] lr: 2.164e-05, eta: 5:25:59, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1026, decode.acc_seg: 95.8403, loss: 0.1026 2023-01-06 08:58:15,072 - mmseg - INFO - Iter [102350/160000] lr: 2.162e-05, eta: 5:25:43, time: 0.373, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1119, decode.acc_seg: 95.4306, loss: 0.1119 2023-01-06 08:58:31,518 - mmseg - INFO - Iter [102400/160000] lr: 2.160e-05, eta: 5:25:26, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0971, decode.acc_seg: 96.0071, loss: 0.0971 2023-01-06 08:58:48,022 - mmseg - INFO - Iter [102450/160000] lr: 2.158e-05, eta: 5:25:09, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1006, decode.acc_seg: 95.8644, loss: 0.1006 2023-01-06 08:59:04,149 - mmseg - INFO - Iter [102500/160000] lr: 2.156e-05, eta: 5:24:52, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1119, decode.acc_seg: 95.3515, loss: 0.1119 2023-01-06 08:59:20,876 - mmseg - INFO - Iter [102550/160000] lr: 2.154e-05, eta: 5:24:34, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1018, decode.acc_seg: 95.9821, loss: 0.1018 2023-01-06 08:59:37,340 - mmseg - INFO - Iter [102600/160000] lr: 2.153e-05, eta: 5:24:17, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1035, decode.acc_seg: 95.8494, loss: 0.1035 2023-01-06 08:59:53,478 - mmseg - INFO - Iter [102650/160000] lr: 2.151e-05, eta: 5:24:00, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1055, decode.acc_seg: 95.7598, loss: 0.1055 2023-01-06 09:00:12,263 - mmseg - INFO - Iter [102700/160000] lr: 2.149e-05, eta: 5:23:44, time: 0.376, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1083, decode.acc_seg: 95.7559, loss: 0.1083 2023-01-06 09:00:29,013 - mmseg - INFO - Iter [102750/160000] lr: 2.147e-05, eta: 5:23:27, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1025, decode.acc_seg: 95.7880, loss: 0.1025 2023-01-06 09:00:45,442 - mmseg - INFO - Iter [102800/160000] lr: 2.145e-05, eta: 5:23:10, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1076, decode.acc_seg: 95.6916, loss: 0.1076 2023-01-06 09:01:01,748 - mmseg - INFO - Iter [102850/160000] lr: 2.143e-05, eta: 5:22:52, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1019, decode.acc_seg: 95.5983, loss: 0.1019 2023-01-06 09:01:18,048 - mmseg - INFO - Iter [102900/160000] lr: 2.141e-05, eta: 5:22:35, time: 0.326, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1125, decode.acc_seg: 95.4983, loss: 0.1125 2023-01-06 09:01:34,791 - mmseg - INFO - Iter [102950/160000] lr: 2.139e-05, eta: 5:22:18, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1033, decode.acc_seg: 95.7031, loss: 0.1033 2023-01-06 09:01:51,392 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 09:01:51,392 - mmseg - INFO - Iter [103000/160000] lr: 2.138e-05, eta: 5:22:01, time: 0.332, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1037, decode.acc_seg: 95.7557, loss: 0.1037 2023-01-06 09:02:10,329 - mmseg - INFO - Iter [103050/160000] lr: 2.136e-05, eta: 5:21:45, time: 0.379, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1060, decode.acc_seg: 95.6299, loss: 0.1060 2023-01-06 09:02:26,510 - mmseg - INFO - Iter [103100/160000] lr: 2.134e-05, eta: 5:21:28, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1009, decode.acc_seg: 95.8370, loss: 0.1009 2023-01-06 09:02:42,858 - mmseg - INFO - Iter [103150/160000] lr: 2.132e-05, eta: 5:21:10, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0986, decode.acc_seg: 95.9870, loss: 0.0986 2023-01-06 09:02:58,952 - mmseg - INFO - Iter [103200/160000] lr: 2.130e-05, eta: 5:20:53, time: 0.322, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1226, decode.acc_seg: 95.2941, loss: 0.1226 2023-01-06 09:03:15,932 - mmseg - INFO - Iter [103250/160000] lr: 2.128e-05, eta: 5:20:36, time: 0.339, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0999, decode.acc_seg: 95.8893, loss: 0.0999 2023-01-06 09:03:32,229 - mmseg - INFO - Iter [103300/160000] lr: 2.126e-05, eta: 5:20:19, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1047, decode.acc_seg: 95.7759, loss: 0.1047 2023-01-06 09:03:48,381 - mmseg - INFO - Iter [103350/160000] lr: 2.124e-05, eta: 5:20:01, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1055, decode.acc_seg: 95.7207, loss: 0.1055 2023-01-06 09:04:04,690 - mmseg - INFO - Iter [103400/160000] lr: 2.123e-05, eta: 5:19:44, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1029, decode.acc_seg: 95.7157, loss: 0.1029 2023-01-06 09:04:23,370 - mmseg - INFO - Iter [103450/160000] lr: 2.121e-05, eta: 5:19:28, time: 0.374, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1142, decode.acc_seg: 95.5953, loss: 0.1142 2023-01-06 09:04:40,323 - mmseg - INFO - Iter [103500/160000] lr: 2.119e-05, eta: 5:19:11, time: 0.339, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1106, decode.acc_seg: 95.4722, loss: 0.1106 2023-01-06 09:04:56,445 - mmseg - INFO - Iter [103550/160000] lr: 2.117e-05, eta: 5:18:54, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1083, decode.acc_seg: 95.7620, loss: 0.1083 2023-01-06 09:05:13,704 - mmseg - INFO - Iter [103600/160000] lr: 2.115e-05, eta: 5:18:37, time: 0.345, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1011, decode.acc_seg: 95.7876, loss: 0.1011 2023-01-06 09:05:29,914 - mmseg - INFO - Iter [103650/160000] lr: 2.113e-05, eta: 5:18:19, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1052, decode.acc_seg: 95.7208, loss: 0.1052 2023-01-06 09:05:46,044 - mmseg - INFO - Iter [103700/160000] lr: 2.111e-05, eta: 5:18:02, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1018, decode.acc_seg: 95.8523, loss: 0.1018 2023-01-06 09:06:02,271 - mmseg - INFO - Iter [103750/160000] lr: 2.109e-05, eta: 5:17:45, time: 0.325, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1115, decode.acc_seg: 95.4895, loss: 0.1115 2023-01-06 09:06:21,000 - mmseg - INFO - Iter [103800/160000] lr: 2.108e-05, eta: 5:17:29, time: 0.374, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1025, decode.acc_seg: 95.7254, loss: 0.1025 2023-01-06 09:06:37,594 - mmseg - INFO - Iter [103850/160000] lr: 2.106e-05, eta: 5:17:12, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1172, decode.acc_seg: 95.4227, loss: 0.1172 2023-01-06 09:06:53,914 - mmseg - INFO - Iter [103900/160000] lr: 2.104e-05, eta: 5:16:54, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1066, decode.acc_seg: 95.7028, loss: 0.1066 2023-01-06 09:07:10,028 - mmseg - INFO - Iter [103950/160000] lr: 2.102e-05, eta: 5:16:37, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1047, decode.acc_seg: 95.5235, loss: 0.1047 2023-01-06 09:07:26,215 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 09:07:26,215 - mmseg - INFO - Iter [104000/160000] lr: 2.100e-05, eta: 5:16:20, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1020, decode.acc_seg: 95.6546, loss: 0.1020 2023-01-06 09:07:42,669 - mmseg - INFO - Iter [104050/160000] lr: 2.098e-05, eta: 5:16:02, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0998, decode.acc_seg: 95.9059, loss: 0.0998 2023-01-06 09:07:58,832 - mmseg - INFO - Iter [104100/160000] lr: 2.096e-05, eta: 5:15:45, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1001, decode.acc_seg: 95.8680, loss: 0.1001 2023-01-06 09:08:14,933 - mmseg - INFO - Iter [104150/160000] lr: 2.094e-05, eta: 5:15:28, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1053, decode.acc_seg: 95.6794, loss: 0.1053 2023-01-06 09:08:33,936 - mmseg - INFO - Iter [104200/160000] lr: 2.093e-05, eta: 5:15:12, time: 0.380, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1092, decode.acc_seg: 95.5911, loss: 0.1092 2023-01-06 09:08:50,448 - mmseg - INFO - Iter [104250/160000] lr: 2.091e-05, eta: 5:14:55, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1051, decode.acc_seg: 95.6638, loss: 0.1051 2023-01-06 09:09:06,617 - mmseg - INFO - Iter [104300/160000] lr: 2.089e-05, eta: 5:14:37, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1000, decode.acc_seg: 95.9536, loss: 0.1000 2023-01-06 09:09:23,096 - mmseg - INFO - Iter [104350/160000] lr: 2.087e-05, eta: 5:14:20, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0960, decode.acc_seg: 95.9447, loss: 0.0960 2023-01-06 09:09:39,856 - mmseg - INFO - Iter [104400/160000] lr: 2.085e-05, eta: 5:14:03, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1058, decode.acc_seg: 95.6763, loss: 0.1058 2023-01-06 09:09:56,534 - mmseg - INFO - Iter [104450/160000] lr: 2.083e-05, eta: 5:13:46, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1094, decode.acc_seg: 95.4997, loss: 0.1094 2023-01-06 09:10:12,798 - mmseg - INFO - Iter [104500/160000] lr: 2.081e-05, eta: 5:13:29, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1094, decode.acc_seg: 95.5390, loss: 0.1094 2023-01-06 09:10:31,081 - mmseg - INFO - Iter [104550/160000] lr: 2.079e-05, eta: 5:13:12, time: 0.366, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1004, decode.acc_seg: 95.7988, loss: 0.1004 2023-01-06 09:10:47,577 - mmseg - INFO - Iter [104600/160000] lr: 2.078e-05, eta: 5:12:55, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1044, decode.acc_seg: 95.6896, loss: 0.1044 2023-01-06 09:11:03,602 - mmseg - INFO - Iter [104650/160000] lr: 2.076e-05, eta: 5:12:38, time: 0.320, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0990, decode.acc_seg: 95.8912, loss: 0.0990 2023-01-06 09:11:20,282 - mmseg - INFO - Iter [104700/160000] lr: 2.074e-05, eta: 5:12:21, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1047, decode.acc_seg: 95.6501, loss: 0.1047 2023-01-06 09:11:36,444 - mmseg - INFO - Iter [104750/160000] lr: 2.072e-05, eta: 5:12:03, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1227, decode.acc_seg: 95.2045, loss: 0.1227 2023-01-06 09:11:52,899 - mmseg - INFO - Iter [104800/160000] lr: 2.070e-05, eta: 5:11:46, time: 0.329, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1081, decode.acc_seg: 95.5899, loss: 0.1081 2023-01-06 09:12:09,493 - mmseg - INFO - Iter [104850/160000] lr: 2.068e-05, eta: 5:11:29, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1110, decode.acc_seg: 95.4797, loss: 0.1110 2023-01-06 09:12:26,426 - mmseg - INFO - Iter [104900/160000] lr: 2.066e-05, eta: 5:11:12, time: 0.339, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1113, decode.acc_seg: 95.3887, loss: 0.1113 2023-01-06 09:12:45,357 - mmseg - INFO - Iter [104950/160000] lr: 2.064e-05, eta: 5:10:56, time: 0.379, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0947, decode.acc_seg: 95.9772, loss: 0.0947 2023-01-06 09:13:02,070 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 09:13:02,071 - mmseg - INFO - Iter [105000/160000] lr: 2.063e-05, eta: 5:10:39, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1051, decode.acc_seg: 95.6519, loss: 0.1051 2023-01-06 09:13:18,435 - mmseg - INFO - Iter [105050/160000] lr: 2.061e-05, eta: 5:10:22, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1126, decode.acc_seg: 95.4016, loss: 0.1126 2023-01-06 09:13:34,760 - mmseg - INFO - Iter [105100/160000] lr: 2.059e-05, eta: 5:10:04, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1025, decode.acc_seg: 95.7384, loss: 0.1025 2023-01-06 09:13:51,191 - mmseg - INFO - Iter [105150/160000] lr: 2.057e-05, eta: 5:09:47, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1057, decode.acc_seg: 95.7162, loss: 0.1057 2023-01-06 09:14:07,609 - mmseg - INFO - Iter [105200/160000] lr: 2.055e-05, eta: 5:09:30, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1029, decode.acc_seg: 95.7790, loss: 0.1029 2023-01-06 09:14:24,127 - mmseg - INFO - Iter [105250/160000] lr: 2.053e-05, eta: 5:09:13, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1008, decode.acc_seg: 95.8120, loss: 0.1008 2023-01-06 09:14:42,590 - mmseg - INFO - Iter [105300/160000] lr: 2.051e-05, eta: 5:08:57, time: 0.369, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1006, decode.acc_seg: 95.9374, loss: 0.1006 2023-01-06 09:14:59,067 - mmseg - INFO - Iter [105350/160000] lr: 2.049e-05, eta: 5:08:40, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0988, decode.acc_seg: 95.8588, loss: 0.0988 2023-01-06 09:15:15,514 - mmseg - INFO - Iter [105400/160000] lr: 2.048e-05, eta: 5:08:22, time: 0.329, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1096, decode.acc_seg: 95.6207, loss: 0.1096 2023-01-06 09:15:31,885 - mmseg - INFO - Iter [105450/160000] lr: 2.046e-05, eta: 5:08:05, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1035, decode.acc_seg: 95.7934, loss: 0.1035 2023-01-06 09:15:48,105 - mmseg - INFO - Iter [105500/160000] lr: 2.044e-05, eta: 5:07:48, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1101, decode.acc_seg: 95.5520, loss: 0.1101 2023-01-06 09:16:04,303 - mmseg - INFO - Iter [105550/160000] lr: 2.042e-05, eta: 5:07:30, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1092, decode.acc_seg: 95.5157, loss: 0.1092 2023-01-06 09:16:20,793 - mmseg - INFO - Iter [105600/160000] lr: 2.040e-05, eta: 5:07:13, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1027, decode.acc_seg: 95.7276, loss: 0.1027 2023-01-06 09:16:40,147 - mmseg - INFO - Iter [105650/160000] lr: 2.038e-05, eta: 5:06:58, time: 0.387, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1079, decode.acc_seg: 95.6721, loss: 0.1079 2023-01-06 09:16:56,971 - mmseg - INFO - Iter [105700/160000] lr: 2.036e-05, eta: 5:06:41, time: 0.337, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1000, decode.acc_seg: 95.8754, loss: 0.1000 2023-01-06 09:17:13,716 - mmseg - INFO - Iter [105750/160000] lr: 2.034e-05, eta: 5:06:24, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1039, decode.acc_seg: 95.6978, loss: 0.1039 2023-01-06 09:17:30,308 - mmseg - INFO - Iter [105800/160000] lr: 2.033e-05, eta: 5:06:06, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1075, decode.acc_seg: 95.5906, loss: 0.1075 2023-01-06 09:17:47,042 - mmseg - INFO - Iter [105850/160000] lr: 2.031e-05, eta: 5:05:49, time: 0.335, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1005, decode.acc_seg: 95.8191, loss: 0.1005 2023-01-06 09:18:03,474 - mmseg - INFO - Iter [105900/160000] lr: 2.029e-05, eta: 5:05:32, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1011, decode.acc_seg: 95.8856, loss: 0.1011 2023-01-06 09:18:19,640 - mmseg - INFO - Iter [105950/160000] lr: 2.027e-05, eta: 5:05:15, time: 0.324, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1063, decode.acc_seg: 95.5497, loss: 0.1063 2023-01-06 09:18:36,492 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 09:18:36,493 - mmseg - INFO - Iter [106000/160000] lr: 2.025e-05, eta: 5:04:58, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0974, decode.acc_seg: 96.0444, loss: 0.0974 2023-01-06 09:18:55,106 - mmseg - INFO - Iter [106050/160000] lr: 2.023e-05, eta: 5:04:42, time: 0.373, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1076, decode.acc_seg: 95.7474, loss: 0.1076 2023-01-06 09:19:11,113 - mmseg - INFO - Iter [106100/160000] lr: 2.021e-05, eta: 5:04:24, time: 0.320, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1018, decode.acc_seg: 95.9126, loss: 0.1018 2023-01-06 09:19:27,628 - mmseg - INFO - Iter [106150/160000] lr: 2.019e-05, eta: 5:04:07, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1075, decode.acc_seg: 95.7084, loss: 0.1075 2023-01-06 09:19:43,970 - mmseg - INFO - Iter [106200/160000] lr: 2.018e-05, eta: 5:03:50, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1029, decode.acc_seg: 95.9393, loss: 0.1029 2023-01-06 09:20:00,703 - mmseg - INFO - Iter [106250/160000] lr: 2.016e-05, eta: 5:03:33, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1038, decode.acc_seg: 95.7091, loss: 0.1038 2023-01-06 09:20:17,522 - mmseg - INFO - Iter [106300/160000] lr: 2.014e-05, eta: 5:03:16, time: 0.337, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1117, decode.acc_seg: 95.4527, loss: 0.1117 2023-01-06 09:20:33,954 - mmseg - INFO - Iter [106350/160000] lr: 2.012e-05, eta: 5:02:59, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0980, decode.acc_seg: 95.8840, loss: 0.0980 2023-01-06 09:20:52,835 - mmseg - INFO - Iter [106400/160000] lr: 2.010e-05, eta: 5:02:43, time: 0.377, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1001, decode.acc_seg: 95.8843, loss: 0.1001 2023-01-06 09:21:09,370 - mmseg - INFO - Iter [106450/160000] lr: 2.008e-05, eta: 5:02:26, time: 0.331, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1031, decode.acc_seg: 95.7863, loss: 0.1031 2023-01-06 09:21:25,873 - mmseg - INFO - Iter [106500/160000] lr: 2.006e-05, eta: 5:02:08, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1085, decode.acc_seg: 95.6235, loss: 0.1085 2023-01-06 09:21:42,318 - mmseg - INFO - Iter [106550/160000] lr: 2.004e-05, eta: 5:01:51, time: 0.329, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0988, decode.acc_seg: 96.0575, loss: 0.0988 2023-01-06 09:21:58,533 - mmseg - INFO - Iter [106600/160000] lr: 2.003e-05, eta: 5:01:34, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1001, decode.acc_seg: 95.8095, loss: 0.1001 2023-01-06 09:22:15,403 - mmseg - INFO - Iter [106650/160000] lr: 2.001e-05, eta: 5:01:17, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1065, decode.acc_seg: 95.6320, loss: 0.1065 2023-01-06 09:22:31,644 - mmseg - INFO - Iter [106700/160000] lr: 1.999e-05, eta: 5:01:00, time: 0.325, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1011, decode.acc_seg: 95.7989, loss: 0.1011 2023-01-06 09:22:48,128 - mmseg - INFO - Iter [106750/160000] lr: 1.997e-05, eta: 5:00:42, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1018, decode.acc_seg: 95.8249, loss: 0.1018 2023-01-06 09:23:07,036 - mmseg - INFO - Iter [106800/160000] lr: 1.995e-05, eta: 5:00:26, time: 0.379, data_time: 0.057, memory: 8466, decode.loss_ce: 0.0964, decode.acc_seg: 96.0014, loss: 0.0964 2023-01-06 09:23:23,624 - mmseg - INFO - Iter [106850/160000] lr: 1.993e-05, eta: 5:00:09, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1036, decode.acc_seg: 95.7686, loss: 0.1036 2023-01-06 09:23:39,750 - mmseg - INFO - Iter [106900/160000] lr: 1.991e-05, eta: 4:59:52, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1019, decode.acc_seg: 95.8894, loss: 0.1019 2023-01-06 09:23:55,926 - mmseg - INFO - Iter [106950/160000] lr: 1.989e-05, eta: 4:59:35, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1025, decode.acc_seg: 95.8288, loss: 0.1025 2023-01-06 09:24:12,388 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 09:24:12,389 - mmseg - INFO - Iter [107000/160000] lr: 1.988e-05, eta: 4:59:17, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0965, decode.acc_seg: 96.0105, loss: 0.0965 2023-01-06 09:24:28,632 - mmseg - INFO - Iter [107050/160000] lr: 1.986e-05, eta: 4:59:00, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0984, decode.acc_seg: 95.9472, loss: 0.0984 2023-01-06 09:24:45,259 - mmseg - INFO - Iter [107100/160000] lr: 1.984e-05, eta: 4:58:43, time: 0.333, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0996, decode.acc_seg: 95.8320, loss: 0.0996 2023-01-06 09:25:04,159 - mmseg - INFO - Iter [107150/160000] lr: 1.982e-05, eta: 4:58:27, time: 0.378, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1130, decode.acc_seg: 95.4399, loss: 0.1130 2023-01-06 09:25:20,709 - mmseg - INFO - Iter [107200/160000] lr: 1.980e-05, eta: 4:58:10, time: 0.331, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1060, decode.acc_seg: 95.6116, loss: 0.1060 2023-01-06 09:25:37,362 - mmseg - INFO - Iter [107250/160000] lr: 1.978e-05, eta: 4:57:53, time: 0.333, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1114, decode.acc_seg: 95.5830, loss: 0.1114 2023-01-06 09:25:53,541 - mmseg - INFO - Iter [107300/160000] lr: 1.976e-05, eta: 4:57:36, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1043, decode.acc_seg: 95.7522, loss: 0.1043 2023-01-06 09:26:10,268 - mmseg - INFO - Iter [107350/160000] lr: 1.974e-05, eta: 4:57:19, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0938, decode.acc_seg: 96.1989, loss: 0.0938 2023-01-06 09:26:27,335 - mmseg - INFO - Iter [107400/160000] lr: 1.973e-05, eta: 4:57:02, time: 0.342, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1021, decode.acc_seg: 95.7600, loss: 0.1021 2023-01-06 09:26:43,478 - mmseg - INFO - Iter [107450/160000] lr: 1.971e-05, eta: 4:56:44, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1079, decode.acc_seg: 95.5137, loss: 0.1079 2023-01-06 09:26:59,645 - mmseg - INFO - Iter [107500/160000] lr: 1.969e-05, eta: 4:56:27, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0987, decode.acc_seg: 95.9190, loss: 0.0987 2023-01-06 09:27:18,154 - mmseg - INFO - Iter [107550/160000] lr: 1.967e-05, eta: 4:56:11, time: 0.370, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1045, decode.acc_seg: 95.7477, loss: 0.1045 2023-01-06 09:27:34,531 - mmseg - INFO - Iter [107600/160000] lr: 1.965e-05, eta: 4:55:54, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0981, decode.acc_seg: 96.0156, loss: 0.0981 2023-01-06 09:27:51,167 - mmseg - INFO - Iter [107650/160000] lr: 1.963e-05, eta: 4:55:37, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1012, decode.acc_seg: 95.8883, loss: 0.1012 2023-01-06 09:28:07,297 - mmseg - INFO - Iter [107700/160000] lr: 1.961e-05, eta: 4:55:19, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0981, decode.acc_seg: 95.9188, loss: 0.0981 2023-01-06 09:28:24,021 - mmseg - INFO - Iter [107750/160000] lr: 1.959e-05, eta: 4:55:02, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0954, decode.acc_seg: 96.0084, loss: 0.0954 2023-01-06 09:28:40,374 - mmseg - INFO - Iter [107800/160000] lr: 1.958e-05, eta: 4:54:45, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1032, decode.acc_seg: 95.7897, loss: 0.1032 2023-01-06 09:28:56,736 - mmseg - INFO - Iter [107850/160000] lr: 1.956e-05, eta: 4:54:28, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1326, decode.acc_seg: 95.1968, loss: 0.1326 2023-01-06 09:29:15,139 - mmseg - INFO - Iter [107900/160000] lr: 1.954e-05, eta: 4:54:11, time: 0.368, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1173, decode.acc_seg: 95.3595, loss: 0.1173 2023-01-06 09:29:31,826 - mmseg - INFO - Iter [107950/160000] lr: 1.952e-05, eta: 4:53:54, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1104, decode.acc_seg: 95.5930, loss: 0.1104 2023-01-06 09:29:48,029 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 09:29:48,030 - mmseg - INFO - Iter [108000/160000] lr: 1.950e-05, eta: 4:53:37, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1152, decode.acc_seg: 95.2955, loss: 0.1152 2023-01-06 09:30:04,093 - mmseg - INFO - Iter [108050/160000] lr: 1.948e-05, eta: 4:53:20, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1056, decode.acc_seg: 95.6468, loss: 0.1056 2023-01-06 09:30:20,515 - mmseg - INFO - Iter [108100/160000] lr: 1.946e-05, eta: 4:53:03, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1062, decode.acc_seg: 95.6815, loss: 0.1062 2023-01-06 09:30:36,657 - mmseg - INFO - Iter [108150/160000] lr: 1.944e-05, eta: 4:52:45, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1022, decode.acc_seg: 95.7585, loss: 0.1022 2023-01-06 09:30:53,009 - mmseg - INFO - Iter [108200/160000] lr: 1.943e-05, eta: 4:52:28, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1014, decode.acc_seg: 95.7673, loss: 0.1014 2023-01-06 09:31:09,716 - mmseg - INFO - Iter [108250/160000] lr: 1.941e-05, eta: 4:52:11, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1082, decode.acc_seg: 95.6872, loss: 0.1082 2023-01-06 09:31:28,397 - mmseg - INFO - Iter [108300/160000] lr: 1.939e-05, eta: 4:51:55, time: 0.374, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1046, decode.acc_seg: 95.6945, loss: 0.1046 2023-01-06 09:31:44,821 - mmseg - INFO - Iter [108350/160000] lr: 1.937e-05, eta: 4:51:38, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1077, decode.acc_seg: 95.5771, loss: 0.1077 2023-01-06 09:32:01,560 - mmseg - INFO - Iter [108400/160000] lr: 1.935e-05, eta: 4:51:21, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1013, decode.acc_seg: 95.8241, loss: 0.1013 2023-01-06 09:32:17,848 - mmseg - INFO - Iter [108450/160000] lr: 1.933e-05, eta: 4:51:03, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0991, decode.acc_seg: 95.9069, loss: 0.0991 2023-01-06 09:32:34,912 - mmseg - INFO - Iter [108500/160000] lr: 1.931e-05, eta: 4:50:47, time: 0.341, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0969, decode.acc_seg: 95.8933, loss: 0.0969 2023-01-06 09:32:51,134 - mmseg - INFO - Iter [108550/160000] lr: 1.929e-05, eta: 4:50:29, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1033, decode.acc_seg: 95.6843, loss: 0.1033 2023-01-06 09:33:07,448 - mmseg - INFO - Iter [108600/160000] lr: 1.928e-05, eta: 4:50:12, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1032, decode.acc_seg: 95.7435, loss: 0.1032 2023-01-06 09:33:25,926 - mmseg - INFO - Iter [108650/160000] lr: 1.926e-05, eta: 4:49:56, time: 0.369, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1035, decode.acc_seg: 95.7713, loss: 0.1035 2023-01-06 09:33:42,308 - mmseg - INFO - Iter [108700/160000] lr: 1.924e-05, eta: 4:49:39, time: 0.328, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0964, decode.acc_seg: 96.1344, loss: 0.0964 2023-01-06 09:33:59,035 - mmseg - INFO - Iter [108750/160000] lr: 1.922e-05, eta: 4:49:22, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1016, decode.acc_seg: 95.8347, loss: 0.1016 2023-01-06 09:34:15,276 - mmseg - INFO - Iter [108800/160000] lr: 1.920e-05, eta: 4:49:04, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1025, decode.acc_seg: 95.8448, loss: 0.1025 2023-01-06 09:34:31,659 - mmseg - INFO - Iter [108850/160000] lr: 1.918e-05, eta: 4:48:47, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1012, decode.acc_seg: 95.9425, loss: 0.1012 2023-01-06 09:34:48,280 - mmseg - INFO - Iter [108900/160000] lr: 1.916e-05, eta: 4:48:30, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0953, decode.acc_seg: 95.9629, loss: 0.0953 2023-01-06 09:35:04,774 - mmseg - INFO - Iter [108950/160000] lr: 1.914e-05, eta: 4:48:13, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1037, decode.acc_seg: 95.6234, loss: 0.1037 2023-01-06 09:35:23,652 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 09:35:23,653 - mmseg - INFO - Iter [109000/160000] lr: 1.913e-05, eta: 4:47:57, time: 0.378, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0961, decode.acc_seg: 96.0462, loss: 0.0961 2023-01-06 09:35:40,215 - mmseg - INFO - Iter [109050/160000] lr: 1.911e-05, eta: 4:47:40, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0994, decode.acc_seg: 95.9754, loss: 0.0994 2023-01-06 09:35:56,421 - mmseg - INFO - Iter [109100/160000] lr: 1.909e-05, eta: 4:47:22, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1034, decode.acc_seg: 95.7812, loss: 0.1034 2023-01-06 09:36:12,917 - mmseg - INFO - Iter [109150/160000] lr: 1.907e-05, eta: 4:47:05, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1026, decode.acc_seg: 95.9107, loss: 0.1026 2023-01-06 09:36:29,703 - mmseg - INFO - Iter [109200/160000] lr: 1.905e-05, eta: 4:46:48, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1050, decode.acc_seg: 95.7280, loss: 0.1050 2023-01-06 09:36:46,311 - mmseg - INFO - Iter [109250/160000] lr: 1.903e-05, eta: 4:46:31, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1021, decode.acc_seg: 95.6831, loss: 0.1021 2023-01-06 09:37:02,617 - mmseg - INFO - Iter [109300/160000] lr: 1.901e-05, eta: 4:46:14, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1038, decode.acc_seg: 95.8469, loss: 0.1038 2023-01-06 09:37:18,960 - mmseg - INFO - Iter [109350/160000] lr: 1.899e-05, eta: 4:45:57, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1075, decode.acc_seg: 95.5997, loss: 0.1075 2023-01-06 09:37:37,799 - mmseg - INFO - Iter [109400/160000] lr: 1.898e-05, eta: 4:45:41, time: 0.377, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1007, decode.acc_seg: 95.8720, loss: 0.1007 2023-01-06 09:37:53,956 - mmseg - INFO - Iter [109450/160000] lr: 1.896e-05, eta: 4:45:23, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1063, decode.acc_seg: 95.6829, loss: 0.1063 2023-01-06 09:38:10,497 - mmseg - INFO - Iter [109500/160000] lr: 1.894e-05, eta: 4:45:06, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0918, decode.acc_seg: 96.0873, loss: 0.0918 2023-01-06 09:38:26,895 - mmseg - INFO - Iter [109550/160000] lr: 1.892e-05, eta: 4:44:49, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0992, decode.acc_seg: 95.9045, loss: 0.0992 2023-01-06 09:38:43,377 - mmseg - INFO - Iter [109600/160000] lr: 1.890e-05, eta: 4:44:32, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1018, decode.acc_seg: 95.7638, loss: 0.1018 2023-01-06 09:38:59,779 - mmseg - INFO - Iter [109650/160000] lr: 1.888e-05, eta: 4:44:15, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1036, decode.acc_seg: 95.8155, loss: 0.1036 2023-01-06 09:39:16,011 - mmseg - INFO - Iter [109700/160000] lr: 1.886e-05, eta: 4:43:57, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1037, decode.acc_seg: 95.9418, loss: 0.1037 2023-01-06 09:39:35,134 - mmseg - INFO - Iter [109750/160000] lr: 1.884e-05, eta: 4:43:42, time: 0.382, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1012, decode.acc_seg: 95.8243, loss: 0.1012 2023-01-06 09:39:52,382 - mmseg - INFO - Iter [109800/160000] lr: 1.883e-05, eta: 4:43:25, time: 0.345, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0962, decode.acc_seg: 96.0508, loss: 0.0962 2023-01-06 09:40:08,888 - mmseg - INFO - Iter [109850/160000] lr: 1.881e-05, eta: 4:43:08, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1056, decode.acc_seg: 95.6391, loss: 0.1056 2023-01-06 09:40:25,330 - mmseg - INFO - Iter [109900/160000] lr: 1.879e-05, eta: 4:42:50, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0982, decode.acc_seg: 95.9079, loss: 0.0982 2023-01-06 09:40:41,631 - mmseg - INFO - Iter [109950/160000] lr: 1.877e-05, eta: 4:42:33, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1010, decode.acc_seg: 95.9135, loss: 0.1010 2023-01-06 09:40:58,296 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 09:40:58,296 - mmseg - INFO - Iter [110000/160000] lr: 1.875e-05, eta: 4:42:16, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1004, decode.acc_seg: 95.8749, loss: 0.1004 2023-01-06 09:41:14,819 - mmseg - INFO - Iter [110050/160000] lr: 1.873e-05, eta: 4:41:59, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0988, decode.acc_seg: 95.8603, loss: 0.0988 2023-01-06 09:41:31,403 - mmseg - INFO - Iter [110100/160000] lr: 1.871e-05, eta: 4:41:42, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1009, decode.acc_seg: 95.9813, loss: 0.1009 2023-01-06 09:41:49,971 - mmseg - INFO - Iter [110150/160000] lr: 1.869e-05, eta: 4:41:26, time: 0.371, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1020, decode.acc_seg: 95.8261, loss: 0.1020 2023-01-06 09:42:06,340 - mmseg - INFO - Iter [110200/160000] lr: 1.868e-05, eta: 4:41:09, time: 0.328, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1066, decode.acc_seg: 95.5740, loss: 0.1066 2023-01-06 09:42:23,321 - mmseg - INFO - Iter [110250/160000] lr: 1.866e-05, eta: 4:40:52, time: 0.340, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1043, decode.acc_seg: 95.7260, loss: 0.1043 2023-01-06 09:42:39,640 - mmseg - INFO - Iter [110300/160000] lr: 1.864e-05, eta: 4:40:34, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0989, decode.acc_seg: 95.9474, loss: 0.0989 2023-01-06 09:42:55,803 - mmseg - INFO - Iter [110350/160000] lr: 1.862e-05, eta: 4:40:17, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1021, decode.acc_seg: 95.7700, loss: 0.1021 2023-01-06 09:43:12,376 - mmseg - INFO - Iter [110400/160000] lr: 1.860e-05, eta: 4:40:00, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0985, decode.acc_seg: 95.8546, loss: 0.0985 2023-01-06 09:43:28,603 - mmseg - INFO - Iter [110450/160000] lr: 1.858e-05, eta: 4:39:43, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0962, decode.acc_seg: 95.9173, loss: 0.0962 2023-01-06 09:43:47,623 - mmseg - INFO - Iter [110500/160000] lr: 1.856e-05, eta: 4:39:27, time: 0.380, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1052, decode.acc_seg: 95.7156, loss: 0.1052 2023-01-06 09:44:04,165 - mmseg - INFO - Iter [110550/160000] lr: 1.854e-05, eta: 4:39:10, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1040, decode.acc_seg: 95.7362, loss: 0.1040 2023-01-06 09:44:20,948 - mmseg - INFO - Iter [110600/160000] lr: 1.853e-05, eta: 4:38:53, time: 0.336, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1090, decode.acc_seg: 95.5497, loss: 0.1090 2023-01-06 09:44:37,126 - mmseg - INFO - Iter [110650/160000] lr: 1.851e-05, eta: 4:38:35, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1023, decode.acc_seg: 95.8866, loss: 0.1023 2023-01-06 09:44:53,488 - mmseg - INFO - Iter [110700/160000] lr: 1.849e-05, eta: 4:38:18, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0998, decode.acc_seg: 95.8205, loss: 0.0998 2023-01-06 09:45:09,840 - mmseg - INFO - Iter [110750/160000] lr: 1.847e-05, eta: 4:38:01, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0969, decode.acc_seg: 96.0232, loss: 0.0969 2023-01-06 09:45:26,176 - mmseg - INFO - Iter [110800/160000] lr: 1.845e-05, eta: 4:37:44, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1164, decode.acc_seg: 95.4843, loss: 0.1164 2023-01-06 09:45:42,554 - mmseg - INFO - Iter [110850/160000] lr: 1.843e-05, eta: 4:37:27, time: 0.328, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1013, decode.acc_seg: 95.8662, loss: 0.1013 2023-01-06 09:46:01,239 - mmseg - INFO - Iter [110900/160000] lr: 1.841e-05, eta: 4:37:10, time: 0.374, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1113, decode.acc_seg: 95.6965, loss: 0.1113 2023-01-06 09:46:17,971 - mmseg - INFO - Iter [110950/160000] lr: 1.839e-05, eta: 4:36:53, time: 0.335, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0994, decode.acc_seg: 95.8765, loss: 0.0994 2023-01-06 09:46:34,591 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 09:46:34,592 - mmseg - INFO - Iter [111000/160000] lr: 1.838e-05, eta: 4:36:36, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0975, decode.acc_seg: 96.0048, loss: 0.0975 2023-01-06 09:46:51,013 - mmseg - INFO - Iter [111050/160000] lr: 1.836e-05, eta: 4:36:19, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0951, decode.acc_seg: 96.0811, loss: 0.0951 2023-01-06 09:47:07,203 - mmseg - INFO - Iter [111100/160000] lr: 1.834e-05, eta: 4:36:02, time: 0.324, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0956, decode.acc_seg: 96.0749, loss: 0.0956 2023-01-06 09:47:23,577 - mmseg - INFO - Iter [111150/160000] lr: 1.832e-05, eta: 4:35:45, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1081, decode.acc_seg: 95.6051, loss: 0.1081 2023-01-06 09:47:39,924 - mmseg - INFO - Iter [111200/160000] lr: 1.830e-05, eta: 4:35:28, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1009, decode.acc_seg: 95.6983, loss: 0.1009 2023-01-06 09:47:58,422 - mmseg - INFO - Iter [111250/160000] lr: 1.828e-05, eta: 4:35:11, time: 0.370, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1001, decode.acc_seg: 95.8807, loss: 0.1001 2023-01-06 09:48:15,147 - mmseg - INFO - Iter [111300/160000] lr: 1.826e-05, eta: 4:34:54, time: 0.335, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0985, decode.acc_seg: 96.0993, loss: 0.0985 2023-01-06 09:48:31,127 - mmseg - INFO - Iter [111350/160000] lr: 1.824e-05, eta: 4:34:37, time: 0.320, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0950, decode.acc_seg: 96.0138, loss: 0.0950 2023-01-06 09:48:47,651 - mmseg - INFO - Iter [111400/160000] lr: 1.823e-05, eta: 4:34:20, time: 0.331, data_time: 0.012, memory: 8466, decode.loss_ce: 0.0954, decode.acc_seg: 96.0591, loss: 0.0954 2023-01-06 09:49:04,031 - mmseg - INFO - Iter [111450/160000] lr: 1.821e-05, eta: 4:34:03, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0964, decode.acc_seg: 95.9939, loss: 0.0964 2023-01-06 09:49:20,144 - mmseg - INFO - Iter [111500/160000] lr: 1.819e-05, eta: 4:33:45, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1019, decode.acc_seg: 95.7815, loss: 0.1019 2023-01-06 09:49:36,471 - mmseg - INFO - Iter [111550/160000] lr: 1.817e-05, eta: 4:33:28, time: 0.327, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0998, decode.acc_seg: 95.8916, loss: 0.0998 2023-01-06 09:49:53,073 - mmseg - INFO - Iter [111600/160000] lr: 1.815e-05, eta: 4:33:11, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0973, decode.acc_seg: 95.9178, loss: 0.0973 2023-01-06 09:50:12,030 - mmseg - INFO - Iter [111650/160000] lr: 1.813e-05, eta: 4:32:55, time: 0.379, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0965, decode.acc_seg: 95.9677, loss: 0.0965 2023-01-06 09:50:28,441 - mmseg - INFO - Iter [111700/160000] lr: 1.811e-05, eta: 4:32:38, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0967, decode.acc_seg: 95.9444, loss: 0.0967 2023-01-06 09:50:44,879 - mmseg - INFO - Iter [111750/160000] lr: 1.809e-05, eta: 4:32:21, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1068, decode.acc_seg: 95.7305, loss: 0.1068 2023-01-06 09:51:01,069 - mmseg - INFO - Iter [111800/160000] lr: 1.808e-05, eta: 4:32:03, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1010, decode.acc_seg: 95.7611, loss: 0.1010 2023-01-06 09:51:17,686 - mmseg - INFO - Iter [111850/160000] lr: 1.806e-05, eta: 4:31:46, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0999, decode.acc_seg: 95.9076, loss: 0.0999 2023-01-06 09:51:34,052 - mmseg - INFO - Iter [111900/160000] lr: 1.804e-05, eta: 4:31:29, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1090, decode.acc_seg: 95.6275, loss: 0.1090 2023-01-06 09:51:50,691 - mmseg - INFO - Iter [111950/160000] lr: 1.802e-05, eta: 4:31:12, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1023, decode.acc_seg: 95.8337, loss: 0.1023 2023-01-06 09:52:10,116 - mmseg - INFO - Saving checkpoint at 112000 iterations 2023-01-06 09:52:13,080 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 09:52:13,080 - mmseg - INFO - Iter [112000/160000] lr: 1.800e-05, eta: 4:30:58, time: 0.448, data_time: 0.057, memory: 8466, decode.loss_ce: 0.1057, decode.acc_seg: 95.7637, loss: 0.1057 2023-01-06 09:52:38,339 - mmseg - INFO - per class results: 2023-01-06 09:52:38,342 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 97.8 | 98.86 | | sidewalk | 82.0 | 90.09 | | building | 91.23 | 95.91 | | wall | 52.38 | 60.04 | | fence | 51.31 | 65.03 | | pole | 59.37 | 68.11 | | traffic light | 63.62 | 74.89 | | traffic sign | 72.86 | 81.43 | | vegetation | 91.63 | 97.24 | | terrain | 57.03 | 61.63 | | sky | 94.66 | 97.41 | | person | 76.07 | 90.39 | | rider | 50.79 | 64.04 | | car | 93.05 | 97.09 | | truck | 58.13 | 64.64 | | bus | 68.06 | 78.06 | | train | 51.43 | 66.54 | | motorcycle | 39.84 | 43.39 | | bicycle | 71.68 | 82.36 | +---------------+-------+-------+ 2023-01-06 09:52:38,342 - mmseg - INFO - Summary: 2023-01-06 09:52:38,343 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 95.24 | 69.63 | 77.74 | +-------+-------+-------+ 2023-01-06 09:52:38,343 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 09:52:38,344 - mmseg - INFO - Iter(val) [63] aAcc: 0.9524, mIoU: 0.6963, mAcc: 0.7774, IoU.road: 0.9780, IoU.sidewalk: 0.8200, IoU.building: 0.9123, IoU.wall: 0.5238, IoU.fence: 0.5131, IoU.pole: 0.5937, IoU.traffic light: 0.6362, IoU.traffic sign: 0.7286, IoU.vegetation: 0.9163, IoU.terrain: 0.5703, IoU.sky: 0.9466, IoU.person: 0.7607, IoU.rider: 0.5079, IoU.car: 0.9305, IoU.truck: 0.5813, IoU.bus: 0.6806, IoU.train: 0.5143, IoU.motorcycle: 0.3984, IoU.bicycle: 0.7168, Acc.road: 0.9886, Acc.sidewalk: 0.9009, Acc.building: 0.9591, Acc.wall: 0.6004, Acc.fence: 0.6503, Acc.pole: 0.6811, Acc.traffic light: 0.7489, Acc.traffic sign: 0.8143, Acc.vegetation: 0.9724, Acc.terrain: 0.6163, Acc.sky: 0.9741, Acc.person: 0.9039, Acc.rider: 0.6404, Acc.car: 0.9709, Acc.truck: 0.6464, Acc.bus: 0.7806, Acc.train: 0.6654, Acc.motorcycle: 0.4339, Acc.bicycle: 0.8236 2023-01-06 09:52:54,844 - mmseg - INFO - Iter [112050/160000] lr: 1.798e-05, eta: 4:30:51, time: 0.835, data_time: 0.515, memory: 8466, decode.loss_ce: 0.0933, decode.acc_seg: 96.0868, loss: 0.0933 2023-01-06 09:53:11,379 - mmseg - INFO - Iter [112100/160000] lr: 1.796e-05, eta: 4:30:34, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0972, decode.acc_seg: 95.9724, loss: 0.0972 2023-01-06 09:53:27,958 - mmseg - INFO - Iter [112150/160000] lr: 1.794e-05, eta: 4:30:17, time: 0.332, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0978, decode.acc_seg: 95.9549, loss: 0.0978 2023-01-06 09:53:44,328 - mmseg - INFO - Iter [112200/160000] lr: 1.793e-05, eta: 4:30:00, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0990, decode.acc_seg: 95.8254, loss: 0.0990 2023-01-06 09:54:00,589 - mmseg - INFO - Iter [112250/160000] lr: 1.791e-05, eta: 4:29:43, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0977, decode.acc_seg: 96.0101, loss: 0.0977 2023-01-06 09:54:17,014 - mmseg - INFO - Iter [112300/160000] lr: 1.789e-05, eta: 4:29:25, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1053, decode.acc_seg: 95.8149, loss: 0.1053 2023-01-06 09:54:35,576 - mmseg - INFO - Iter [112350/160000] lr: 1.787e-05, eta: 4:29:09, time: 0.372, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1027, decode.acc_seg: 95.6225, loss: 0.1027 2023-01-06 09:54:52,493 - mmseg - INFO - Iter [112400/160000] lr: 1.785e-05, eta: 4:28:52, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0995, decode.acc_seg: 95.8551, loss: 0.0995 2023-01-06 09:55:09,310 - mmseg - INFO - Iter [112450/160000] lr: 1.783e-05, eta: 4:28:35, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1030, decode.acc_seg: 95.7818, loss: 0.1030 2023-01-06 09:55:25,802 - mmseg - INFO - Iter [112500/160000] lr: 1.781e-05, eta: 4:28:18, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0981, decode.acc_seg: 95.9335, loss: 0.0981 2023-01-06 09:55:42,073 - mmseg - INFO - Iter [112550/160000] lr: 1.779e-05, eta: 4:28:01, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0991, decode.acc_seg: 95.8711, loss: 0.0991 2023-01-06 09:55:58,307 - mmseg - INFO - Iter [112600/160000] lr: 1.778e-05, eta: 4:27:44, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1043, decode.acc_seg: 95.7712, loss: 0.1043 2023-01-06 09:56:14,817 - mmseg - INFO - Iter [112650/160000] lr: 1.776e-05, eta: 4:27:26, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1030, decode.acc_seg: 95.6821, loss: 0.1030 2023-01-06 09:56:31,366 - mmseg - INFO - Iter [112700/160000] lr: 1.774e-05, eta: 4:27:09, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1014, decode.acc_seg: 95.8440, loss: 0.1014 2023-01-06 09:56:50,653 - mmseg - INFO - Iter [112750/160000] lr: 1.772e-05, eta: 4:26:53, time: 0.386, data_time: 0.054, memory: 8466, decode.loss_ce: 0.1009, decode.acc_seg: 95.9092, loss: 0.1009 2023-01-06 09:57:07,149 - mmseg - INFO - Iter [112800/160000] lr: 1.770e-05, eta: 4:26:36, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1065, decode.acc_seg: 95.6617, loss: 0.1065 2023-01-06 09:57:23,429 - mmseg - INFO - Iter [112850/160000] lr: 1.768e-05, eta: 4:26:19, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0989, decode.acc_seg: 95.8875, loss: 0.0989 2023-01-06 09:57:39,830 - mmseg - INFO - Iter [112900/160000] lr: 1.766e-05, eta: 4:26:02, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0986, decode.acc_seg: 95.7292, loss: 0.0986 2023-01-06 09:57:56,027 - mmseg - INFO - Iter [112950/160000] lr: 1.764e-05, eta: 4:25:45, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0976, decode.acc_seg: 95.9739, loss: 0.0976 2023-01-06 09:58:12,875 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 09:58:12,876 - mmseg - INFO - Iter [113000/160000] lr: 1.763e-05, eta: 4:25:28, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0988, decode.acc_seg: 95.9970, loss: 0.0988 2023-01-06 09:58:29,041 - mmseg - INFO - Iter [113050/160000] lr: 1.761e-05, eta: 4:25:10, time: 0.323, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0956, decode.acc_seg: 95.9784, loss: 0.0956 2023-01-06 09:58:48,021 - mmseg - INFO - Iter [113100/160000] lr: 1.759e-05, eta: 4:24:54, time: 0.380, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1024, decode.acc_seg: 95.8005, loss: 0.1024 2023-01-06 09:59:04,705 - mmseg - INFO - Iter [113150/160000] lr: 1.757e-05, eta: 4:24:37, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1011, decode.acc_seg: 95.8982, loss: 0.1011 2023-01-06 09:59:20,986 - mmseg - INFO - Iter [113200/160000] lr: 1.755e-05, eta: 4:24:20, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0972, decode.acc_seg: 96.0406, loss: 0.0972 2023-01-06 09:59:37,457 - mmseg - INFO - Iter [113250/160000] lr: 1.753e-05, eta: 4:24:03, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1064, decode.acc_seg: 95.6890, loss: 0.1064 2023-01-06 09:59:53,820 - mmseg - INFO - Iter [113300/160000] lr: 1.751e-05, eta: 4:23:46, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1070, decode.acc_seg: 95.7033, loss: 0.1070 2023-01-06 10:00:10,026 - mmseg - INFO - Iter [113350/160000] lr: 1.749e-05, eta: 4:23:28, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0979, decode.acc_seg: 95.9766, loss: 0.0979 2023-01-06 10:00:26,734 - mmseg - INFO - Iter [113400/160000] lr: 1.748e-05, eta: 4:23:11, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1007, decode.acc_seg: 95.8648, loss: 0.1007 2023-01-06 10:00:43,886 - mmseg - INFO - Iter [113450/160000] lr: 1.746e-05, eta: 4:22:54, time: 0.343, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1008, decode.acc_seg: 95.9007, loss: 0.1008 2023-01-06 10:01:02,637 - mmseg - INFO - Iter [113500/160000] lr: 1.744e-05, eta: 4:22:38, time: 0.375, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0967, decode.acc_seg: 95.9980, loss: 0.0967 2023-01-06 10:01:19,191 - mmseg - INFO - Iter [113550/160000] lr: 1.742e-05, eta: 4:22:21, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0919, decode.acc_seg: 96.1806, loss: 0.0919 2023-01-06 10:01:35,598 - mmseg - INFO - Iter [113600/160000] lr: 1.740e-05, eta: 4:22:04, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1064, decode.acc_seg: 95.6437, loss: 0.1064 2023-01-06 10:01:52,045 - mmseg - INFO - Iter [113650/160000] lr: 1.738e-05, eta: 4:21:47, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1023, decode.acc_seg: 95.7350, loss: 0.1023 2023-01-06 10:02:08,210 - mmseg - INFO - Iter [113700/160000] lr: 1.736e-05, eta: 4:21:30, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1064, decode.acc_seg: 95.7964, loss: 0.1064 2023-01-06 10:02:24,601 - mmseg - INFO - Iter [113750/160000] lr: 1.734e-05, eta: 4:21:12, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1108, decode.acc_seg: 95.6335, loss: 0.1108 2023-01-06 10:02:40,810 - mmseg - INFO - Iter [113800/160000] lr: 1.733e-05, eta: 4:20:55, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1059, decode.acc_seg: 95.6328, loss: 0.1059 2023-01-06 10:02:59,393 - mmseg - INFO - Iter [113850/160000] lr: 1.731e-05, eta: 4:20:39, time: 0.371, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1029, decode.acc_seg: 95.8116, loss: 0.1029 2023-01-06 10:03:16,256 - mmseg - INFO - Iter [113900/160000] lr: 1.729e-05, eta: 4:20:22, time: 0.338, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0997, decode.acc_seg: 95.9645, loss: 0.0997 2023-01-06 10:03:32,253 - mmseg - INFO - Iter [113950/160000] lr: 1.727e-05, eta: 4:20:05, time: 0.320, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0972, decode.acc_seg: 96.0035, loss: 0.0972 2023-01-06 10:03:48,395 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 10:03:48,396 - mmseg - INFO - Iter [114000/160000] lr: 1.725e-05, eta: 4:19:47, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0961, decode.acc_seg: 96.0276, loss: 0.0961 2023-01-06 10:04:04,758 - mmseg - INFO - Iter [114050/160000] lr: 1.723e-05, eta: 4:19:30, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0993, decode.acc_seg: 95.9768, loss: 0.0993 2023-01-06 10:04:21,053 - mmseg - INFO - Iter [114100/160000] lr: 1.721e-05, eta: 4:19:13, time: 0.326, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0998, decode.acc_seg: 95.9638, loss: 0.0998 2023-01-06 10:04:37,430 - mmseg - INFO - Iter [114150/160000] lr: 1.719e-05, eta: 4:18:56, time: 0.328, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0941, decode.acc_seg: 96.0762, loss: 0.0941 2023-01-06 10:04:53,740 - mmseg - INFO - Iter [114200/160000] lr: 1.718e-05, eta: 4:18:39, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1007, decode.acc_seg: 95.8639, loss: 0.1007 2023-01-06 10:05:12,115 - mmseg - INFO - Iter [114250/160000] lr: 1.716e-05, eta: 4:18:22, time: 0.367, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1151, decode.acc_seg: 95.3283, loss: 0.1151 2023-01-06 10:05:28,233 - mmseg - INFO - Iter [114300/160000] lr: 1.714e-05, eta: 4:18:05, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1094, decode.acc_seg: 95.6992, loss: 0.1094 2023-01-06 10:05:44,544 - mmseg - INFO - Iter [114350/160000] lr: 1.712e-05, eta: 4:17:48, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0988, decode.acc_seg: 96.0553, loss: 0.0988 2023-01-06 10:06:00,882 - mmseg - INFO - Iter [114400/160000] lr: 1.710e-05, eta: 4:17:31, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0969, decode.acc_seg: 95.9572, loss: 0.0969 2023-01-06 10:06:17,082 - mmseg - INFO - Iter [114450/160000] lr: 1.708e-05, eta: 4:17:13, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1023, decode.acc_seg: 95.7915, loss: 0.1023 2023-01-06 10:06:33,305 - mmseg - INFO - Iter [114500/160000] lr: 1.706e-05, eta: 4:16:56, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1054, decode.acc_seg: 95.7010, loss: 0.1054 2023-01-06 10:06:49,653 - mmseg - INFO - Iter [114550/160000] lr: 1.704e-05, eta: 4:16:39, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0959, decode.acc_seg: 96.0798, loss: 0.0959 2023-01-06 10:07:08,309 - mmseg - INFO - Iter [114600/160000] lr: 1.703e-05, eta: 4:16:23, time: 0.373, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1012, decode.acc_seg: 95.8851, loss: 0.1012 2023-01-06 10:07:24,708 - mmseg - INFO - Iter [114650/160000] lr: 1.701e-05, eta: 4:16:06, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0971, decode.acc_seg: 95.9537, loss: 0.0971 2023-01-06 10:07:40,869 - mmseg - INFO - Iter [114700/160000] lr: 1.699e-05, eta: 4:15:48, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0907, decode.acc_seg: 96.1511, loss: 0.0907 2023-01-06 10:07:57,360 - mmseg - INFO - Iter [114750/160000] lr: 1.697e-05, eta: 4:15:31, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1020, decode.acc_seg: 95.7656, loss: 0.1020 2023-01-06 10:08:14,121 - mmseg - INFO - Iter [114800/160000] lr: 1.695e-05, eta: 4:15:14, time: 0.336, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1032, decode.acc_seg: 95.8369, loss: 0.1032 2023-01-06 10:08:30,437 - mmseg - INFO - Iter [114850/160000] lr: 1.693e-05, eta: 4:14:57, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1019, decode.acc_seg: 95.7800, loss: 0.1019 2023-01-06 10:08:47,100 - mmseg - INFO - Iter [114900/160000] lr: 1.691e-05, eta: 4:14:40, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1031, decode.acc_seg: 95.8155, loss: 0.1031 2023-01-06 10:09:06,017 - mmseg - INFO - Iter [114950/160000] lr: 1.689e-05, eta: 4:14:24, time: 0.378, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1010, decode.acc_seg: 95.8262, loss: 0.1010 2023-01-06 10:09:22,416 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 10:09:22,417 - mmseg - INFO - Iter [115000/160000] lr: 1.688e-05, eta: 4:14:07, time: 0.328, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1064, decode.acc_seg: 95.6562, loss: 0.1064 2023-01-06 10:09:38,726 - mmseg - INFO - Iter [115050/160000] lr: 1.686e-05, eta: 4:13:49, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1056, decode.acc_seg: 95.7269, loss: 0.1056 2023-01-06 10:09:55,084 - mmseg - INFO - Iter [115100/160000] lr: 1.684e-05, eta: 4:13:32, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1020, decode.acc_seg: 96.0046, loss: 0.1020 2023-01-06 10:10:11,420 - mmseg - INFO - Iter [115150/160000] lr: 1.682e-05, eta: 4:13:15, time: 0.327, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1045, decode.acc_seg: 95.8240, loss: 0.1045 2023-01-06 10:10:27,715 - mmseg - INFO - Iter [115200/160000] lr: 1.680e-05, eta: 4:12:58, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1022, decode.acc_seg: 95.8949, loss: 0.1022 2023-01-06 10:10:44,192 - mmseg - INFO - Iter [115250/160000] lr: 1.678e-05, eta: 4:12:41, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0910, decode.acc_seg: 96.1210, loss: 0.0910 2023-01-06 10:11:00,295 - mmseg - INFO - Iter [115300/160000] lr: 1.676e-05, eta: 4:12:23, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1006, decode.acc_seg: 95.8392, loss: 0.1006 2023-01-06 10:11:18,782 - mmseg - INFO - Iter [115350/160000] lr: 1.674e-05, eta: 4:12:07, time: 0.370, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0932, decode.acc_seg: 96.0084, loss: 0.0932 2023-01-06 10:11:35,275 - mmseg - INFO - Iter [115400/160000] lr: 1.673e-05, eta: 4:11:50, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0947, decode.acc_seg: 96.1557, loss: 0.0947 2023-01-06 10:11:51,567 - mmseg - INFO - Iter [115450/160000] lr: 1.671e-05, eta: 4:11:33, time: 0.326, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0989, decode.acc_seg: 95.8150, loss: 0.0989 2023-01-06 10:12:07,652 - mmseg - INFO - Iter [115500/160000] lr: 1.669e-05, eta: 4:11:16, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0995, decode.acc_seg: 95.9376, loss: 0.0995 2023-01-06 10:12:24,360 - mmseg - INFO - Iter [115550/160000] lr: 1.667e-05, eta: 4:10:59, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0948, decode.acc_seg: 95.9452, loss: 0.0948 2023-01-06 10:12:40,725 - mmseg - INFO - Iter [115600/160000] lr: 1.665e-05, eta: 4:10:41, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0978, decode.acc_seg: 95.9958, loss: 0.0978 2023-01-06 10:12:57,114 - mmseg - INFO - Iter [115650/160000] lr: 1.663e-05, eta: 4:10:24, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0988, decode.acc_seg: 95.8536, loss: 0.0988 2023-01-06 10:13:15,622 - mmseg - INFO - Iter [115700/160000] lr: 1.661e-05, eta: 4:10:08, time: 0.370, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0952, decode.acc_seg: 95.9550, loss: 0.0952 2023-01-06 10:13:32,590 - mmseg - INFO - Iter [115750/160000] lr: 1.659e-05, eta: 4:09:51, time: 0.339, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1013, decode.acc_seg: 95.9275, loss: 0.1013 2023-01-06 10:13:48,779 - mmseg - INFO - Iter [115800/160000] lr: 1.658e-05, eta: 4:09:34, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0998, decode.acc_seg: 95.8794, loss: 0.0998 2023-01-06 10:14:05,152 - mmseg - INFO - Iter [115850/160000] lr: 1.656e-05, eta: 4:09:17, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1015, decode.acc_seg: 95.6600, loss: 0.1015 2023-01-06 10:14:22,052 - mmseg - INFO - Iter [115900/160000] lr: 1.654e-05, eta: 4:09:00, time: 0.338, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0992, decode.acc_seg: 96.0473, loss: 0.0992 2023-01-06 10:14:38,257 - mmseg - INFO - Iter [115950/160000] lr: 1.652e-05, eta: 4:08:42, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1043, decode.acc_seg: 95.6236, loss: 0.1043 2023-01-06 10:14:54,841 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 10:14:54,842 - mmseg - INFO - Iter [116000/160000] lr: 1.650e-05, eta: 4:08:25, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1038, decode.acc_seg: 95.7678, loss: 0.1038 2023-01-06 10:15:11,359 - mmseg - INFO - Iter [116050/160000] lr: 1.648e-05, eta: 4:08:08, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1023, decode.acc_seg: 95.8285, loss: 0.1023 2023-01-06 10:15:30,567 - mmseg - INFO - Iter [116100/160000] lr: 1.646e-05, eta: 4:07:52, time: 0.384, data_time: 0.062, memory: 8466, decode.loss_ce: 0.0986, decode.acc_seg: 95.8547, loss: 0.0986 2023-01-06 10:15:46,904 - mmseg - INFO - Iter [116150/160000] lr: 1.644e-05, eta: 4:07:35, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0952, decode.acc_seg: 95.8844, loss: 0.0952 2023-01-06 10:16:03,092 - mmseg - INFO - Iter [116200/160000] lr: 1.643e-05, eta: 4:07:18, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1081, decode.acc_seg: 95.6092, loss: 0.1081 2023-01-06 10:16:19,377 - mmseg - INFO - Iter [116250/160000] lr: 1.641e-05, eta: 4:07:01, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1055, decode.acc_seg: 95.7340, loss: 0.1055 2023-01-06 10:16:35,701 - mmseg - INFO - Iter [116300/160000] lr: 1.639e-05, eta: 4:06:43, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0962, decode.acc_seg: 96.0240, loss: 0.0962 2023-01-06 10:16:51,982 - mmseg - INFO - Iter [116350/160000] lr: 1.637e-05, eta: 4:06:26, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0990, decode.acc_seg: 95.8040, loss: 0.0990 2023-01-06 10:17:08,419 - mmseg - INFO - Iter [116400/160000] lr: 1.635e-05, eta: 4:06:09, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0935, decode.acc_seg: 96.0400, loss: 0.0935 2023-01-06 10:17:26,775 - mmseg - INFO - Iter [116450/160000] lr: 1.633e-05, eta: 4:05:53, time: 0.367, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1023, decode.acc_seg: 95.7825, loss: 0.1023 2023-01-06 10:17:43,162 - mmseg - INFO - Iter [116500/160000] lr: 1.631e-05, eta: 4:05:36, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1026, decode.acc_seg: 95.8583, loss: 0.1026 2023-01-06 10:18:00,125 - mmseg - INFO - Iter [116550/160000] lr: 1.629e-05, eta: 4:05:19, time: 0.339, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0955, decode.acc_seg: 96.0335, loss: 0.0955 2023-01-06 10:18:16,322 - mmseg - INFO - Iter [116600/160000] lr: 1.628e-05, eta: 4:05:01, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0914, decode.acc_seg: 96.1364, loss: 0.0914 2023-01-06 10:18:32,562 - mmseg - INFO - Iter [116650/160000] lr: 1.626e-05, eta: 4:04:44, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0952, decode.acc_seg: 96.0653, loss: 0.0952 2023-01-06 10:18:49,204 - mmseg - INFO - Iter [116700/160000] lr: 1.624e-05, eta: 4:04:27, time: 0.333, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0982, decode.acc_seg: 95.8380, loss: 0.0982 2023-01-06 10:19:06,138 - mmseg - INFO - Iter [116750/160000] lr: 1.622e-05, eta: 4:04:10, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0988, decode.acc_seg: 95.9679, loss: 0.0988 2023-01-06 10:19:22,976 - mmseg - INFO - Iter [116800/160000] lr: 1.620e-05, eta: 4:03:53, time: 0.337, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1003, decode.acc_seg: 95.8909, loss: 0.1003 2023-01-06 10:19:41,588 - mmseg - INFO - Iter [116850/160000] lr: 1.618e-05, eta: 4:03:37, time: 0.372, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0969, decode.acc_seg: 96.0010, loss: 0.0969 2023-01-06 10:19:57,861 - mmseg - INFO - Iter [116900/160000] lr: 1.616e-05, eta: 4:03:20, time: 0.326, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1020, decode.acc_seg: 95.7926, loss: 0.1020 2023-01-06 10:20:13,946 - mmseg - INFO - Iter [116950/160000] lr: 1.614e-05, eta: 4:03:02, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0979, decode.acc_seg: 95.9111, loss: 0.0979 2023-01-06 10:20:30,354 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 10:20:30,355 - mmseg - INFO - Iter [117000/160000] lr: 1.613e-05, eta: 4:02:45, time: 0.328, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0961, decode.acc_seg: 96.0290, loss: 0.0961 2023-01-06 10:20:46,749 - mmseg - INFO - Iter [117050/160000] lr: 1.611e-05, eta: 4:02:28, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1006, decode.acc_seg: 95.9152, loss: 0.1006 2023-01-06 10:21:02,784 - mmseg - INFO - Iter [117100/160000] lr: 1.609e-05, eta: 4:02:11, time: 0.321, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1103, decode.acc_seg: 95.6954, loss: 0.1103 2023-01-06 10:21:19,024 - mmseg - INFO - Iter [117150/160000] lr: 1.607e-05, eta: 4:01:54, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1008, decode.acc_seg: 95.8130, loss: 0.1008 2023-01-06 10:21:37,518 - mmseg - INFO - Iter [117200/160000] lr: 1.605e-05, eta: 4:01:37, time: 0.370, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0971, decode.acc_seg: 95.8104, loss: 0.0971 2023-01-06 10:21:53,783 - mmseg - INFO - Iter [117250/160000] lr: 1.603e-05, eta: 4:01:20, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1079, decode.acc_seg: 95.6183, loss: 0.1079 2023-01-06 10:22:10,507 - mmseg - INFO - Iter [117300/160000] lr: 1.601e-05, eta: 4:01:03, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1007, decode.acc_seg: 95.9200, loss: 0.1007 2023-01-06 10:22:26,703 - mmseg - INFO - Iter [117350/160000] lr: 1.599e-05, eta: 4:00:46, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1064, decode.acc_seg: 95.7290, loss: 0.1064 2023-01-06 10:22:43,231 - mmseg - INFO - Iter [117400/160000] lr: 1.598e-05, eta: 4:00:29, time: 0.331, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0973, decode.acc_seg: 95.9906, loss: 0.0973 2023-01-06 10:22:59,526 - mmseg - INFO - Iter [117450/160000] lr: 1.596e-05, eta: 4:00:12, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0906, decode.acc_seg: 96.2200, loss: 0.0906 2023-01-06 10:23:15,914 - mmseg - INFO - Iter [117500/160000] lr: 1.594e-05, eta: 3:59:55, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0966, decode.acc_seg: 96.0227, loss: 0.0966 2023-01-06 10:23:32,033 - mmseg - INFO - Iter [117550/160000] lr: 1.592e-05, eta: 3:59:37, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0946, decode.acc_seg: 96.0639, loss: 0.0946 2023-01-06 10:23:50,500 - mmseg - INFO - Iter [117600/160000] lr: 1.590e-05, eta: 3:59:21, time: 0.369, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0986, decode.acc_seg: 95.9380, loss: 0.0986 2023-01-06 10:24:07,054 - mmseg - INFO - Iter [117650/160000] lr: 1.588e-05, eta: 3:59:04, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1044, decode.acc_seg: 95.6830, loss: 0.1044 2023-01-06 10:24:23,774 - mmseg - INFO - Iter [117700/160000] lr: 1.586e-05, eta: 3:58:47, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0993, decode.acc_seg: 95.9167, loss: 0.0993 2023-01-06 10:24:40,955 - mmseg - INFO - Iter [117750/160000] lr: 1.584e-05, eta: 3:58:30, time: 0.344, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1045, decode.acc_seg: 95.6878, loss: 0.1045 2023-01-06 10:24:57,245 - mmseg - INFO - Iter [117800/160000] lr: 1.583e-05, eta: 3:58:13, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0925, decode.acc_seg: 96.1351, loss: 0.0925 2023-01-06 10:25:13,554 - mmseg - INFO - Iter [117850/160000] lr: 1.581e-05, eta: 3:57:56, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1029, decode.acc_seg: 95.8925, loss: 0.1029 2023-01-06 10:25:29,878 - mmseg - INFO - Iter [117900/160000] lr: 1.579e-05, eta: 3:57:39, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1001, decode.acc_seg: 95.9017, loss: 0.1001 2023-01-06 10:25:48,287 - mmseg - INFO - Iter [117950/160000] lr: 1.577e-05, eta: 3:57:22, time: 0.368, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1012, decode.acc_seg: 95.8750, loss: 0.1012 2023-01-06 10:26:05,023 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 10:26:05,024 - mmseg - INFO - Iter [118000/160000] lr: 1.575e-05, eta: 3:57:05, time: 0.335, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0949, decode.acc_seg: 95.9873, loss: 0.0949 2023-01-06 10:26:21,288 - mmseg - INFO - Iter [118050/160000] lr: 1.573e-05, eta: 3:56:48, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1034, decode.acc_seg: 95.8284, loss: 0.1034 2023-01-06 10:26:37,905 - mmseg - INFO - Iter [118100/160000] lr: 1.571e-05, eta: 3:56:31, time: 0.332, data_time: 0.014, memory: 8466, decode.loss_ce: 0.1001, decode.acc_seg: 95.9548, loss: 0.1001 2023-01-06 10:26:54,253 - mmseg - INFO - Iter [118150/160000] lr: 1.569e-05, eta: 3:56:14, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1045, decode.acc_seg: 95.8217, loss: 0.1045 2023-01-06 10:27:10,416 - mmseg - INFO - Iter [118200/160000] lr: 1.568e-05, eta: 3:55:57, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0967, decode.acc_seg: 95.9123, loss: 0.0967 2023-01-06 10:27:26,858 - mmseg - INFO - Iter [118250/160000] lr: 1.566e-05, eta: 3:55:39, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0956, decode.acc_seg: 96.0611, loss: 0.0956 2023-01-06 10:27:45,882 - mmseg - INFO - Iter [118300/160000] lr: 1.564e-05, eta: 3:55:23, time: 0.380, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0902, decode.acc_seg: 96.1039, loss: 0.0902 2023-01-06 10:28:02,206 - mmseg - INFO - Iter [118350/160000] lr: 1.562e-05, eta: 3:55:06, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1152, decode.acc_seg: 95.5969, loss: 0.1152 2023-01-06 10:28:18,706 - mmseg - INFO - Iter [118400/160000] lr: 1.560e-05, eta: 3:54:49, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1008, decode.acc_seg: 95.9025, loss: 0.1008 2023-01-06 10:28:35,438 - mmseg - INFO - Iter [118450/160000] lr: 1.558e-05, eta: 3:54:32, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0972, decode.acc_seg: 95.9111, loss: 0.0972 2023-01-06 10:28:52,021 - mmseg - INFO - Iter [118500/160000] lr: 1.556e-05, eta: 3:54:15, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0995, decode.acc_seg: 95.8598, loss: 0.0995 2023-01-06 10:29:08,316 - mmseg - INFO - Iter [118550/160000] lr: 1.554e-05, eta: 3:53:58, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0913, decode.acc_seg: 96.2010, loss: 0.0913 2023-01-06 10:29:25,127 - mmseg - INFO - Iter [118600/160000] lr: 1.553e-05, eta: 3:53:41, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0933, decode.acc_seg: 95.9952, loss: 0.0933 2023-01-06 10:29:41,995 - mmseg - INFO - Iter [118650/160000] lr: 1.551e-05, eta: 3:53:24, time: 0.337, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0974, decode.acc_seg: 95.9789, loss: 0.0974 2023-01-06 10:30:00,593 - mmseg - INFO - Iter [118700/160000] lr: 1.549e-05, eta: 3:53:08, time: 0.372, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1002, decode.acc_seg: 95.9037, loss: 0.1002 2023-01-06 10:30:17,132 - mmseg - INFO - Iter [118750/160000] lr: 1.547e-05, eta: 3:52:50, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0931, decode.acc_seg: 96.0585, loss: 0.0931 2023-01-06 10:30:33,394 - mmseg - INFO - Iter [118800/160000] lr: 1.545e-05, eta: 3:52:33, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0934, decode.acc_seg: 96.1932, loss: 0.0934 2023-01-06 10:30:50,186 - mmseg - INFO - Iter [118850/160000] lr: 1.543e-05, eta: 3:52:16, time: 0.336, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1035, decode.acc_seg: 95.7643, loss: 0.1035 2023-01-06 10:31:07,033 - mmseg - INFO - Iter [118900/160000] lr: 1.541e-05, eta: 3:51:59, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0976, decode.acc_seg: 95.9405, loss: 0.0976 2023-01-06 10:31:23,554 - mmseg - INFO - Iter [118950/160000] lr: 1.539e-05, eta: 3:51:42, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0966, decode.acc_seg: 96.0131, loss: 0.0966 2023-01-06 10:31:39,815 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 10:31:39,816 - mmseg - INFO - Iter [119000/160000] lr: 1.538e-05, eta: 3:51:25, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0971, decode.acc_seg: 96.0381, loss: 0.0971 2023-01-06 10:31:58,580 - mmseg - INFO - Iter [119050/160000] lr: 1.536e-05, eta: 3:51:09, time: 0.376, data_time: 0.055, memory: 8466, decode.loss_ce: 0.1017, decode.acc_seg: 95.9638, loss: 0.1017 2023-01-06 10:32:15,326 - mmseg - INFO - Iter [119100/160000] lr: 1.534e-05, eta: 3:50:52, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0966, decode.acc_seg: 96.0092, loss: 0.0966 2023-01-06 10:32:32,399 - mmseg - INFO - Iter [119150/160000] lr: 1.532e-05, eta: 3:50:35, time: 0.342, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1008, decode.acc_seg: 95.9172, loss: 0.1008 2023-01-06 10:32:49,323 - mmseg - INFO - Iter [119200/160000] lr: 1.530e-05, eta: 3:50:18, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1004, decode.acc_seg: 95.8379, loss: 0.1004 2023-01-06 10:33:05,517 - mmseg - INFO - Iter [119250/160000] lr: 1.528e-05, eta: 3:50:01, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0997, decode.acc_seg: 95.9476, loss: 0.0997 2023-01-06 10:33:21,923 - mmseg - INFO - Iter [119300/160000] lr: 1.526e-05, eta: 3:49:44, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0944, decode.acc_seg: 96.0513, loss: 0.0944 2023-01-06 10:33:38,827 - mmseg - INFO - Iter [119350/160000] lr: 1.524e-05, eta: 3:49:27, time: 0.338, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0930, decode.acc_seg: 96.1043, loss: 0.0930 2023-01-06 10:33:55,470 - mmseg - INFO - Iter [119400/160000] lr: 1.523e-05, eta: 3:49:10, time: 0.333, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0946, decode.acc_seg: 96.0637, loss: 0.0946 2023-01-06 10:34:14,168 - mmseg - INFO - Iter [119450/160000] lr: 1.521e-05, eta: 3:48:53, time: 0.374, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0962, decode.acc_seg: 95.9832, loss: 0.0962 2023-01-06 10:34:30,336 - mmseg - INFO - Iter [119500/160000] lr: 1.519e-05, eta: 3:48:36, time: 0.323, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1014, decode.acc_seg: 95.8713, loss: 0.1014 2023-01-06 10:34:46,866 - mmseg - INFO - Iter [119550/160000] lr: 1.517e-05, eta: 3:48:19, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0988, decode.acc_seg: 96.0237, loss: 0.0988 2023-01-06 10:35:02,989 - mmseg - INFO - Iter [119600/160000] lr: 1.515e-05, eta: 3:48:02, time: 0.323, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0971, decode.acc_seg: 95.9572, loss: 0.0971 2023-01-06 10:35:19,653 - mmseg - INFO - Iter [119650/160000] lr: 1.513e-05, eta: 3:47:45, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0949, decode.acc_seg: 96.1252, loss: 0.0949 2023-01-06 10:35:36,199 - mmseg - INFO - Iter [119700/160000] lr: 1.511e-05, eta: 3:47:28, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0922, decode.acc_seg: 96.0651, loss: 0.0922 2023-01-06 10:35:52,590 - mmseg - INFO - Iter [119750/160000] lr: 1.509e-05, eta: 3:47:11, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1002, decode.acc_seg: 95.8022, loss: 0.1002 2023-01-06 10:36:11,735 - mmseg - INFO - Iter [119800/160000] lr: 1.508e-05, eta: 3:46:54, time: 0.383, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0941, decode.acc_seg: 96.0405, loss: 0.0941 2023-01-06 10:36:28,273 - mmseg - INFO - Iter [119850/160000] lr: 1.506e-05, eta: 3:46:37, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0949, decode.acc_seg: 96.0472, loss: 0.0949 2023-01-06 10:36:45,289 - mmseg - INFO - Iter [119900/160000] lr: 1.504e-05, eta: 3:46:21, time: 0.340, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0933, decode.acc_seg: 96.1214, loss: 0.0933 2023-01-06 10:37:02,130 - mmseg - INFO - Iter [119950/160000] lr: 1.502e-05, eta: 3:46:04, time: 0.337, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1000, decode.acc_seg: 95.9258, loss: 0.1000 2023-01-06 10:37:18,224 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 10:37:18,225 - mmseg - INFO - Iter [120000/160000] lr: 1.500e-05, eta: 3:45:46, time: 0.322, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0986, decode.acc_seg: 95.7906, loss: 0.0986 2023-01-06 10:37:34,747 - mmseg - INFO - Iter [120050/160000] lr: 1.498e-05, eta: 3:45:29, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0901, decode.acc_seg: 96.1911, loss: 0.0901 2023-01-06 10:37:51,140 - mmseg - INFO - Iter [120100/160000] lr: 1.496e-05, eta: 3:45:12, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0980, decode.acc_seg: 95.9836, loss: 0.0980 2023-01-06 10:38:07,715 - mmseg - INFO - Iter [120150/160000] lr: 1.494e-05, eta: 3:44:55, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0911, decode.acc_seg: 96.1480, loss: 0.0911 2023-01-06 10:38:26,957 - mmseg - INFO - Iter [120200/160000] lr: 1.493e-05, eta: 3:44:39, time: 0.385, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0975, decode.acc_seg: 95.9579, loss: 0.0975 2023-01-06 10:38:43,402 - mmseg - INFO - Iter [120250/160000] lr: 1.491e-05, eta: 3:44:22, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0982, decode.acc_seg: 96.0039, loss: 0.0982 2023-01-06 10:38:59,618 - mmseg - INFO - Iter [120300/160000] lr: 1.489e-05, eta: 3:44:05, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0937, decode.acc_seg: 96.0734, loss: 0.0937 2023-01-06 10:39:16,069 - mmseg - INFO - Iter [120350/160000] lr: 1.487e-05, eta: 3:43:48, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0939, decode.acc_seg: 96.0814, loss: 0.0939 2023-01-06 10:39:32,747 - mmseg - INFO - Iter [120400/160000] lr: 1.485e-05, eta: 3:43:31, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0961, decode.acc_seg: 96.0217, loss: 0.0961 2023-01-06 10:39:48,878 - mmseg - INFO - Iter [120450/160000] lr: 1.483e-05, eta: 3:43:13, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0978, decode.acc_seg: 95.9456, loss: 0.0978 2023-01-06 10:40:05,271 - mmseg - INFO - Iter [120500/160000] lr: 1.481e-05, eta: 3:42:56, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1003, decode.acc_seg: 95.8370, loss: 0.1003 2023-01-06 10:40:24,323 - mmseg - INFO - Iter [120550/160000] lr: 1.479e-05, eta: 3:42:40, time: 0.381, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0987, decode.acc_seg: 95.9288, loss: 0.0987 2023-01-06 10:40:41,013 - mmseg - INFO - Iter [120600/160000] lr: 1.478e-05, eta: 3:42:23, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0978, decode.acc_seg: 96.0771, loss: 0.0978 2023-01-06 10:40:57,228 - mmseg - INFO - Iter [120650/160000] lr: 1.476e-05, eta: 3:42:06, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1049, decode.acc_seg: 95.6630, loss: 0.1049 2023-01-06 10:41:13,368 - mmseg - INFO - Iter [120700/160000] lr: 1.474e-05, eta: 3:41:49, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0988, decode.acc_seg: 95.9740, loss: 0.0988 2023-01-06 10:41:30,221 - mmseg - INFO - Iter [120750/160000] lr: 1.472e-05, eta: 3:41:32, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0978, decode.acc_seg: 96.0010, loss: 0.0978 2023-01-06 10:41:46,544 - mmseg - INFO - Iter [120800/160000] lr: 1.470e-05, eta: 3:41:15, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0954, decode.acc_seg: 95.8580, loss: 0.0954 2023-01-06 10:42:02,780 - mmseg - INFO - Iter [120850/160000] lr: 1.468e-05, eta: 3:40:57, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0974, decode.acc_seg: 95.9670, loss: 0.0974 2023-01-06 10:42:18,918 - mmseg - INFO - Iter [120900/160000] lr: 1.466e-05, eta: 3:40:40, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0970, decode.acc_seg: 96.0431, loss: 0.0970 2023-01-06 10:42:37,846 - mmseg - INFO - Iter [120950/160000] lr: 1.464e-05, eta: 3:40:24, time: 0.378, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0999, decode.acc_seg: 95.9426, loss: 0.0999 2023-01-06 10:42:54,246 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 10:42:54,247 - mmseg - INFO - Iter [121000/160000] lr: 1.463e-05, eta: 3:40:07, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0933, decode.acc_seg: 96.1066, loss: 0.0933 2023-01-06 10:43:10,865 - mmseg - INFO - Iter [121050/160000] lr: 1.461e-05, eta: 3:39:50, time: 0.333, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1037, decode.acc_seg: 95.9159, loss: 0.1037 2023-01-06 10:43:27,748 - mmseg - INFO - Iter [121100/160000] lr: 1.459e-05, eta: 3:39:33, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1106, decode.acc_seg: 95.5886, loss: 0.1106 2023-01-06 10:43:44,498 - mmseg - INFO - Iter [121150/160000] lr: 1.457e-05, eta: 3:39:16, time: 0.335, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1027, decode.acc_seg: 95.8214, loss: 0.1027 2023-01-06 10:44:01,534 - mmseg - INFO - Iter [121200/160000] lr: 1.455e-05, eta: 3:38:59, time: 0.341, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0988, decode.acc_seg: 96.0053, loss: 0.0988 2023-01-06 10:44:18,615 - mmseg - INFO - Iter [121250/160000] lr: 1.453e-05, eta: 3:38:42, time: 0.342, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0951, decode.acc_seg: 96.0216, loss: 0.0951 2023-01-06 10:44:37,471 - mmseg - INFO - Iter [121300/160000] lr: 1.451e-05, eta: 3:38:26, time: 0.377, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0937, decode.acc_seg: 96.1081, loss: 0.0937 2023-01-06 10:44:53,674 - mmseg - INFO - Iter [121350/160000] lr: 1.449e-05, eta: 3:38:09, time: 0.324, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0978, decode.acc_seg: 96.0090, loss: 0.0978 2023-01-06 10:45:10,137 - mmseg - INFO - Iter [121400/160000] lr: 1.448e-05, eta: 3:37:51, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0911, decode.acc_seg: 96.1198, loss: 0.0911 2023-01-06 10:45:26,765 - mmseg - INFO - Iter [121450/160000] lr: 1.446e-05, eta: 3:37:34, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0998, decode.acc_seg: 95.8850, loss: 0.0998 2023-01-06 10:45:43,337 - mmseg - INFO - Iter [121500/160000] lr: 1.444e-05, eta: 3:37:17, time: 0.331, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0954, decode.acc_seg: 96.0607, loss: 0.0954 2023-01-06 10:45:59,701 - mmseg - INFO - Iter [121550/160000] lr: 1.442e-05, eta: 3:37:00, time: 0.328, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0963, decode.acc_seg: 95.9172, loss: 0.0963 2023-01-06 10:46:15,957 - mmseg - INFO - Iter [121600/160000] lr: 1.440e-05, eta: 3:36:43, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0998, decode.acc_seg: 96.0106, loss: 0.0998 2023-01-06 10:46:34,983 - mmseg - INFO - Iter [121650/160000] lr: 1.438e-05, eta: 3:36:27, time: 0.380, data_time: 0.054, memory: 8466, decode.loss_ce: 0.0937, decode.acc_seg: 96.0377, loss: 0.0937 2023-01-06 10:46:52,025 - mmseg - INFO - Iter [121700/160000] lr: 1.436e-05, eta: 3:36:10, time: 0.341, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1077, decode.acc_seg: 95.8503, loss: 0.1077 2023-01-06 10:47:08,409 - mmseg - INFO - Iter [121750/160000] lr: 1.434e-05, eta: 3:35:53, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1010, decode.acc_seg: 95.7629, loss: 0.1010 2023-01-06 10:47:25,371 - mmseg - INFO - Iter [121800/160000] lr: 1.433e-05, eta: 3:35:36, time: 0.339, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0925, decode.acc_seg: 96.2271, loss: 0.0925 2023-01-06 10:47:42,044 - mmseg - INFO - Iter [121850/160000] lr: 1.431e-05, eta: 3:35:19, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0910, decode.acc_seg: 96.0926, loss: 0.0910 2023-01-06 10:47:59,074 - mmseg - INFO - Iter [121900/160000] lr: 1.429e-05, eta: 3:35:02, time: 0.341, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1001, decode.acc_seg: 95.9092, loss: 0.1001 2023-01-06 10:48:15,662 - mmseg - INFO - Iter [121950/160000] lr: 1.427e-05, eta: 3:34:45, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1054, decode.acc_seg: 95.7728, loss: 0.1054 2023-01-06 10:48:32,212 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 10:48:32,213 - mmseg - INFO - Iter [122000/160000] lr: 1.425e-05, eta: 3:34:28, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0925, decode.acc_seg: 96.1537, loss: 0.0925 2023-01-06 10:48:50,957 - mmseg - INFO - Iter [122050/160000] lr: 1.423e-05, eta: 3:34:12, time: 0.375, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0992, decode.acc_seg: 95.9525, loss: 0.0992 2023-01-06 10:49:07,253 - mmseg - INFO - Iter [122100/160000] lr: 1.421e-05, eta: 3:33:54, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1029, decode.acc_seg: 95.8606, loss: 0.1029 2023-01-06 10:49:24,121 - mmseg - INFO - Iter [122150/160000] lr: 1.419e-05, eta: 3:33:37, time: 0.338, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0966, decode.acc_seg: 96.0519, loss: 0.0966 2023-01-06 10:49:40,245 - mmseg - INFO - Iter [122200/160000] lr: 1.418e-05, eta: 3:33:20, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0960, decode.acc_seg: 96.0461, loss: 0.0960 2023-01-06 10:49:56,414 - mmseg - INFO - Iter [122250/160000] lr: 1.416e-05, eta: 3:33:03, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0990, decode.acc_seg: 96.0124, loss: 0.0990 2023-01-06 10:50:12,771 - mmseg - INFO - Iter [122300/160000] lr: 1.414e-05, eta: 3:32:46, time: 0.327, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0986, decode.acc_seg: 96.0514, loss: 0.0986 2023-01-06 10:50:29,517 - mmseg - INFO - Iter [122350/160000] lr: 1.412e-05, eta: 3:32:29, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0956, decode.acc_seg: 96.0313, loss: 0.0956 2023-01-06 10:50:48,241 - mmseg - INFO - Iter [122400/160000] lr: 1.410e-05, eta: 3:32:13, time: 0.375, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0936, decode.acc_seg: 96.1105, loss: 0.0936 2023-01-06 10:51:04,705 - mmseg - INFO - Iter [122450/160000] lr: 1.408e-05, eta: 3:31:56, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0945, decode.acc_seg: 96.0963, loss: 0.0945 2023-01-06 10:51:20,894 - mmseg - INFO - Iter [122500/160000] lr: 1.406e-05, eta: 3:31:38, time: 0.324, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0981, decode.acc_seg: 95.9201, loss: 0.0981 2023-01-06 10:51:37,333 - mmseg - INFO - Iter [122550/160000] lr: 1.404e-05, eta: 3:31:21, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0974, decode.acc_seg: 95.8241, loss: 0.0974 2023-01-06 10:51:53,557 - mmseg - INFO - Iter [122600/160000] lr: 1.403e-05, eta: 3:31:04, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0918, decode.acc_seg: 96.0968, loss: 0.0918 2023-01-06 10:52:10,437 - mmseg - INFO - Iter [122650/160000] lr: 1.401e-05, eta: 3:30:47, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0981, decode.acc_seg: 96.0649, loss: 0.0981 2023-01-06 10:52:27,119 - mmseg - INFO - Iter [122700/160000] lr: 1.399e-05, eta: 3:30:30, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0967, decode.acc_seg: 96.0276, loss: 0.0967 2023-01-06 10:52:43,459 - mmseg - INFO - Iter [122750/160000] lr: 1.397e-05, eta: 3:30:13, time: 0.327, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0983, decode.acc_seg: 95.9501, loss: 0.0983 2023-01-06 10:53:02,855 - mmseg - INFO - Iter [122800/160000] lr: 1.395e-05, eta: 3:29:57, time: 0.388, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0955, decode.acc_seg: 96.1049, loss: 0.0955 2023-01-06 10:53:19,335 - mmseg - INFO - Iter [122850/160000] lr: 1.393e-05, eta: 3:29:40, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0967, decode.acc_seg: 95.9521, loss: 0.0967 2023-01-06 10:53:35,512 - mmseg - INFO - Iter [122900/160000] lr: 1.391e-05, eta: 3:29:23, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1021, decode.acc_seg: 95.8534, loss: 0.1021 2023-01-06 10:53:51,992 - mmseg - INFO - Iter [122950/160000] lr: 1.389e-05, eta: 3:29:06, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0957, decode.acc_seg: 96.1185, loss: 0.0957 2023-01-06 10:54:08,365 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 10:54:08,366 - mmseg - INFO - Iter [123000/160000] lr: 1.388e-05, eta: 3:28:49, time: 0.328, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0911, decode.acc_seg: 96.1433, loss: 0.0911 2023-01-06 10:54:24,465 - mmseg - INFO - Iter [123050/160000] lr: 1.386e-05, eta: 3:28:31, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0960, decode.acc_seg: 95.9662, loss: 0.0960 2023-01-06 10:54:40,623 - mmseg - INFO - Iter [123100/160000] lr: 1.384e-05, eta: 3:28:14, time: 0.323, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0956, decode.acc_seg: 95.9224, loss: 0.0956 2023-01-06 10:54:59,677 - mmseg - INFO - Iter [123150/160000] lr: 1.382e-05, eta: 3:27:58, time: 0.381, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0963, decode.acc_seg: 96.0776, loss: 0.0963 2023-01-06 10:55:15,981 - mmseg - INFO - Iter [123200/160000] lr: 1.380e-05, eta: 3:27:41, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1009, decode.acc_seg: 95.9993, loss: 0.1009 2023-01-06 10:55:32,210 - mmseg - INFO - Iter [123250/160000] lr: 1.378e-05, eta: 3:27:24, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0931, decode.acc_seg: 96.1979, loss: 0.0931 2023-01-06 10:55:48,563 - mmseg - INFO - Iter [123300/160000] lr: 1.376e-05, eta: 3:27:07, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0934, decode.acc_seg: 96.0083, loss: 0.0934 2023-01-06 10:56:05,260 - mmseg - INFO - Iter [123350/160000] lr: 1.374e-05, eta: 3:26:50, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0933, decode.acc_seg: 96.1281, loss: 0.0933 2023-01-06 10:56:22,046 - mmseg - INFO - Iter [123400/160000] lr: 1.373e-05, eta: 3:26:33, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0947, decode.acc_seg: 96.1294, loss: 0.0947 2023-01-06 10:56:38,481 - mmseg - INFO - Iter [123450/160000] lr: 1.371e-05, eta: 3:26:15, time: 0.329, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1024, decode.acc_seg: 95.8450, loss: 0.1024 2023-01-06 10:56:54,565 - mmseg - INFO - Iter [123500/160000] lr: 1.369e-05, eta: 3:25:58, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0963, decode.acc_seg: 95.9918, loss: 0.0963 2023-01-06 10:57:13,260 - mmseg - INFO - Iter [123550/160000] lr: 1.367e-05, eta: 3:25:42, time: 0.374, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0931, decode.acc_seg: 96.0982, loss: 0.0931 2023-01-06 10:57:29,650 - mmseg - INFO - Iter [123600/160000] lr: 1.365e-05, eta: 3:25:25, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1006, decode.acc_seg: 95.7190, loss: 0.1006 2023-01-06 10:57:46,007 - mmseg - INFO - Iter [123650/160000] lr: 1.363e-05, eta: 3:25:08, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1013, decode.acc_seg: 95.8995, loss: 0.1013 2023-01-06 10:58:02,339 - mmseg - INFO - Iter [123700/160000] lr: 1.361e-05, eta: 3:24:51, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0993, decode.acc_seg: 95.9637, loss: 0.0993 2023-01-06 10:58:18,676 - mmseg - INFO - Iter [123750/160000] lr: 1.359e-05, eta: 3:24:34, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0977, decode.acc_seg: 95.9926, loss: 0.0977 2023-01-06 10:58:34,838 - mmseg - INFO - Iter [123800/160000] lr: 1.358e-05, eta: 3:24:16, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0931, decode.acc_seg: 96.1234, loss: 0.0931 2023-01-06 10:58:51,304 - mmseg - INFO - Iter [123850/160000] lr: 1.356e-05, eta: 3:23:59, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0969, decode.acc_seg: 96.0239, loss: 0.0969 2023-01-06 10:59:09,796 - mmseg - INFO - Iter [123900/160000] lr: 1.354e-05, eta: 3:23:43, time: 0.370, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0984, decode.acc_seg: 95.9431, loss: 0.0984 2023-01-06 10:59:25,915 - mmseg - INFO - Iter [123950/160000] lr: 1.352e-05, eta: 3:23:26, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0950, decode.acc_seg: 96.0145, loss: 0.0950 2023-01-06 10:59:42,469 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 10:59:42,470 - mmseg - INFO - Iter [124000/160000] lr: 1.350e-05, eta: 3:23:09, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0927, decode.acc_seg: 96.1648, loss: 0.0927 2023-01-06 10:59:59,182 - mmseg - INFO - Iter [124050/160000] lr: 1.348e-05, eta: 3:22:52, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0953, decode.acc_seg: 96.1489, loss: 0.0953 2023-01-06 11:00:16,003 - mmseg - INFO - Iter [124100/160000] lr: 1.346e-05, eta: 3:22:35, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0928, decode.acc_seg: 96.1430, loss: 0.0928 2023-01-06 11:00:32,732 - mmseg - INFO - Iter [124150/160000] lr: 1.344e-05, eta: 3:22:18, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0965, decode.acc_seg: 96.1021, loss: 0.0965 2023-01-06 11:00:49,535 - mmseg - INFO - Iter [124200/160000] lr: 1.343e-05, eta: 3:22:01, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1005, decode.acc_seg: 95.9620, loss: 0.1005 2023-01-06 11:01:08,367 - mmseg - INFO - Iter [124250/160000] lr: 1.341e-05, eta: 3:21:44, time: 0.377, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0965, decode.acc_seg: 95.9214, loss: 0.0965 2023-01-06 11:01:24,513 - mmseg - INFO - Iter [124300/160000] lr: 1.339e-05, eta: 3:21:27, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0973, decode.acc_seg: 95.9398, loss: 0.0973 2023-01-06 11:01:40,789 - mmseg - INFO - Iter [124350/160000] lr: 1.337e-05, eta: 3:21:10, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0971, decode.acc_seg: 96.0621, loss: 0.0971 2023-01-06 11:01:56,950 - mmseg - INFO - Iter [124400/160000] lr: 1.335e-05, eta: 3:20:53, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0991, decode.acc_seg: 96.0619, loss: 0.0991 2023-01-06 11:02:13,272 - mmseg - INFO - Iter [124450/160000] lr: 1.333e-05, eta: 3:20:36, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1011, decode.acc_seg: 95.8162, loss: 0.1011 2023-01-06 11:02:29,597 - mmseg - INFO - Iter [124500/160000] lr: 1.331e-05, eta: 3:20:19, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0974, decode.acc_seg: 96.0354, loss: 0.0974 2023-01-06 11:02:46,351 - mmseg - INFO - Iter [124550/160000] lr: 1.329e-05, eta: 3:20:02, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0959, decode.acc_seg: 96.0282, loss: 0.0959 2023-01-06 11:03:02,836 - mmseg - INFO - Iter [124600/160000] lr: 1.328e-05, eta: 3:19:45, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0957, decode.acc_seg: 96.1360, loss: 0.0957 2023-01-06 11:03:21,445 - mmseg - INFO - Iter [124650/160000] lr: 1.326e-05, eta: 3:19:28, time: 0.372, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0936, decode.acc_seg: 96.1508, loss: 0.0936 2023-01-06 11:03:38,138 - mmseg - INFO - Iter [124700/160000] lr: 1.324e-05, eta: 3:19:11, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0991, decode.acc_seg: 95.9051, loss: 0.0991 2023-01-06 11:03:54,181 - mmseg - INFO - Iter [124750/160000] lr: 1.322e-05, eta: 3:18:54, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0976, decode.acc_seg: 95.9700, loss: 0.0976 2023-01-06 11:04:10,485 - mmseg - INFO - Iter [124800/160000] lr: 1.320e-05, eta: 3:18:37, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0915, decode.acc_seg: 96.2423, loss: 0.0915 2023-01-06 11:04:27,189 - mmseg - INFO - Iter [124850/160000] lr: 1.318e-05, eta: 3:18:20, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0936, decode.acc_seg: 96.0393, loss: 0.0936 2023-01-06 11:04:43,854 - mmseg - INFO - Iter [124900/160000] lr: 1.316e-05, eta: 3:18:03, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0917, decode.acc_seg: 96.1344, loss: 0.0917 2023-01-06 11:05:00,388 - mmseg - INFO - Iter [124950/160000] lr: 1.314e-05, eta: 3:17:46, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0911, decode.acc_seg: 96.1923, loss: 0.0911 2023-01-06 11:05:19,058 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 11:05:19,059 - mmseg - INFO - Iter [125000/160000] lr: 1.313e-05, eta: 3:17:29, time: 0.373, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0924, decode.acc_seg: 96.1216, loss: 0.0924 2023-01-06 11:05:35,717 - mmseg - INFO - Iter [125050/160000] lr: 1.311e-05, eta: 3:17:12, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0913, decode.acc_seg: 96.1987, loss: 0.0913 2023-01-06 11:05:52,581 - mmseg - INFO - Iter [125100/160000] lr: 1.309e-05, eta: 3:16:56, time: 0.337, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0989, decode.acc_seg: 95.9015, loss: 0.0989 2023-01-06 11:06:09,115 - mmseg - INFO - Iter [125150/160000] lr: 1.307e-05, eta: 3:16:38, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1027, decode.acc_seg: 95.7380, loss: 0.1027 2023-01-06 11:06:25,410 - mmseg - INFO - Iter [125200/160000] lr: 1.305e-05, eta: 3:16:21, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0893, decode.acc_seg: 96.1992, loss: 0.0893 2023-01-06 11:06:41,774 - mmseg - INFO - Iter [125250/160000] lr: 1.303e-05, eta: 3:16:04, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0939, decode.acc_seg: 96.1425, loss: 0.0939 2023-01-06 11:06:58,100 - mmseg - INFO - Iter [125300/160000] lr: 1.301e-05, eta: 3:15:47, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0959, decode.acc_seg: 96.0460, loss: 0.0959 2023-01-06 11:07:14,221 - mmseg - INFO - Iter [125350/160000] lr: 1.299e-05, eta: 3:15:30, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0977, decode.acc_seg: 95.9849, loss: 0.0977 2023-01-06 11:07:32,880 - mmseg - INFO - Iter [125400/160000] lr: 1.298e-05, eta: 3:15:14, time: 0.373, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0992, decode.acc_seg: 95.9434, loss: 0.0992 2023-01-06 11:07:49,089 - mmseg - INFO - Iter [125450/160000] lr: 1.296e-05, eta: 3:14:56, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0867, decode.acc_seg: 96.2837, loss: 0.0867 2023-01-06 11:08:05,644 - mmseg - INFO - Iter [125500/160000] lr: 1.294e-05, eta: 3:14:39, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0942, decode.acc_seg: 96.0827, loss: 0.0942 2023-01-06 11:08:21,793 - mmseg - INFO - Iter [125550/160000] lr: 1.292e-05, eta: 3:14:22, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0956, decode.acc_seg: 95.9875, loss: 0.0956 2023-01-06 11:08:38,062 - mmseg - INFO - Iter [125600/160000] lr: 1.290e-05, eta: 3:14:05, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0901, decode.acc_seg: 96.2687, loss: 0.0901 2023-01-06 11:08:54,867 - mmseg - INFO - Iter [125650/160000] lr: 1.288e-05, eta: 3:13:48, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0958, decode.acc_seg: 96.0423, loss: 0.0958 2023-01-06 11:09:11,184 - mmseg - INFO - Iter [125700/160000] lr: 1.286e-05, eta: 3:13:31, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0956, decode.acc_seg: 96.0375, loss: 0.0956 2023-01-06 11:09:29,955 - mmseg - INFO - Iter [125750/160000] lr: 1.284e-05, eta: 3:13:15, time: 0.375, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0961, decode.acc_seg: 96.0225, loss: 0.0961 2023-01-06 11:09:46,035 - mmseg - INFO - Iter [125800/160000] lr: 1.283e-05, eta: 3:12:58, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0937, decode.acc_seg: 96.0784, loss: 0.0937 2023-01-06 11:10:02,421 - mmseg - INFO - Iter [125850/160000] lr: 1.281e-05, eta: 3:12:40, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1014, decode.acc_seg: 95.7430, loss: 0.1014 2023-01-06 11:10:18,560 - mmseg - INFO - Iter [125900/160000] lr: 1.279e-05, eta: 3:12:23, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0930, decode.acc_seg: 96.0466, loss: 0.0930 2023-01-06 11:10:35,087 - mmseg - INFO - Iter [125950/160000] lr: 1.277e-05, eta: 3:12:06, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0966, decode.acc_seg: 95.9581, loss: 0.0966 2023-01-06 11:10:51,490 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 11:10:51,491 - mmseg - INFO - Iter [126000/160000] lr: 1.275e-05, eta: 3:11:49, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0951, decode.acc_seg: 96.0124, loss: 0.0951 2023-01-06 11:11:07,912 - mmseg - INFO - Iter [126050/160000] lr: 1.273e-05, eta: 3:11:32, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0881, decode.acc_seg: 96.3493, loss: 0.0881 2023-01-06 11:11:24,354 - mmseg - INFO - Iter [126100/160000] lr: 1.271e-05, eta: 3:11:15, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0892, decode.acc_seg: 96.2819, loss: 0.0892 2023-01-06 11:11:43,447 - mmseg - INFO - Iter [126150/160000] lr: 1.269e-05, eta: 3:10:59, time: 0.382, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0945, decode.acc_seg: 96.0850, loss: 0.0945 2023-01-06 11:12:00,034 - mmseg - INFO - Iter [126200/160000] lr: 1.268e-05, eta: 3:10:42, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0968, decode.acc_seg: 95.9529, loss: 0.0968 2023-01-06 11:12:16,299 - mmseg - INFO - Iter [126250/160000] lr: 1.266e-05, eta: 3:10:25, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0939, decode.acc_seg: 96.0429, loss: 0.0939 2023-01-06 11:12:32,556 - mmseg - INFO - Iter [126300/160000] lr: 1.264e-05, eta: 3:10:08, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0928, decode.acc_seg: 96.0008, loss: 0.0928 2023-01-06 11:12:48,904 - mmseg - INFO - Iter [126350/160000] lr: 1.262e-05, eta: 3:09:50, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0924, decode.acc_seg: 96.2000, loss: 0.0924 2023-01-06 11:13:05,196 - mmseg - INFO - Iter [126400/160000] lr: 1.260e-05, eta: 3:09:33, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0949, decode.acc_seg: 96.0500, loss: 0.0949 2023-01-06 11:13:21,530 - mmseg - INFO - Iter [126450/160000] lr: 1.258e-05, eta: 3:09:16, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0900, decode.acc_seg: 96.2050, loss: 0.0900 2023-01-06 11:13:39,917 - mmseg - INFO - Iter [126500/160000] lr: 1.256e-05, eta: 3:09:00, time: 0.368, data_time: 0.056, memory: 8466, decode.loss_ce: 0.1006, decode.acc_seg: 95.8519, loss: 0.1006 2023-01-06 11:13:56,252 - mmseg - INFO - Iter [126550/160000] lr: 1.254e-05, eta: 3:08:43, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0882, decode.acc_seg: 96.2871, loss: 0.0882 2023-01-06 11:14:12,422 - mmseg - INFO - Iter [126600/160000] lr: 1.253e-05, eta: 3:08:26, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0860, decode.acc_seg: 96.4040, loss: 0.0860 2023-01-06 11:14:28,663 - mmseg - INFO - Iter [126650/160000] lr: 1.251e-05, eta: 3:08:08, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0936, decode.acc_seg: 96.0594, loss: 0.0936 2023-01-06 11:14:44,937 - mmseg - INFO - Iter [126700/160000] lr: 1.249e-05, eta: 3:07:51, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0896, decode.acc_seg: 96.2057, loss: 0.0896 2023-01-06 11:15:01,397 - mmseg - INFO - Iter [126750/160000] lr: 1.247e-05, eta: 3:07:34, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0911, decode.acc_seg: 96.0625, loss: 0.0911 2023-01-06 11:15:18,102 - mmseg - INFO - Iter [126800/160000] lr: 1.245e-05, eta: 3:07:17, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0924, decode.acc_seg: 96.0786, loss: 0.0924 2023-01-06 11:15:34,180 - mmseg - INFO - Iter [126850/160000] lr: 1.243e-05, eta: 3:07:00, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0930, decode.acc_seg: 96.1147, loss: 0.0930 2023-01-06 11:15:53,495 - mmseg - INFO - Iter [126900/160000] lr: 1.241e-05, eta: 3:06:44, time: 0.386, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0938, decode.acc_seg: 96.0261, loss: 0.0938 2023-01-06 11:16:10,251 - mmseg - INFO - Iter [126950/160000] lr: 1.239e-05, eta: 3:06:27, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0977, decode.acc_seg: 95.9499, loss: 0.0977 2023-01-06 11:16:27,257 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 11:16:27,257 - mmseg - INFO - Iter [127000/160000] lr: 1.238e-05, eta: 3:06:10, time: 0.340, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0946, decode.acc_seg: 96.0811, loss: 0.0946 2023-01-06 11:16:44,334 - mmseg - INFO - Iter [127050/160000] lr: 1.236e-05, eta: 3:05:53, time: 0.341, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0965, decode.acc_seg: 96.1088, loss: 0.0965 2023-01-06 11:17:00,854 - mmseg - INFO - Iter [127100/160000] lr: 1.234e-05, eta: 3:05:36, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0940, decode.acc_seg: 96.1723, loss: 0.0940 2023-01-06 11:17:17,610 - mmseg - INFO - Iter [127150/160000] lr: 1.232e-05, eta: 3:05:19, time: 0.335, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0896, decode.acc_seg: 96.2298, loss: 0.0896 2023-01-06 11:17:34,009 - mmseg - INFO - Iter [127200/160000] lr: 1.230e-05, eta: 3:05:02, time: 0.328, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0913, decode.acc_seg: 96.1669, loss: 0.0913 2023-01-06 11:17:52,575 - mmseg - INFO - Iter [127250/160000] lr: 1.228e-05, eta: 3:04:46, time: 0.371, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0961, decode.acc_seg: 96.0287, loss: 0.0961 2023-01-06 11:18:08,908 - mmseg - INFO - Iter [127300/160000] lr: 1.226e-05, eta: 3:04:28, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0914, decode.acc_seg: 96.1513, loss: 0.0914 2023-01-06 11:18:25,395 - mmseg - INFO - Iter [127350/160000] lr: 1.224e-05, eta: 3:04:11, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0980, decode.acc_seg: 95.9409, loss: 0.0980 2023-01-06 11:18:41,767 - mmseg - INFO - Iter [127400/160000] lr: 1.223e-05, eta: 3:03:54, time: 0.328, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0975, decode.acc_seg: 95.8753, loss: 0.0975 2023-01-06 11:18:58,015 - mmseg - INFO - Iter [127450/160000] lr: 1.221e-05, eta: 3:03:37, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0965, decode.acc_seg: 95.8405, loss: 0.0965 2023-01-06 11:19:14,139 - mmseg - INFO - Iter [127500/160000] lr: 1.219e-05, eta: 3:03:20, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0963, decode.acc_seg: 96.0941, loss: 0.0963 2023-01-06 11:19:30,602 - mmseg - INFO - Iter [127550/160000] lr: 1.217e-05, eta: 3:03:03, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0888, decode.acc_seg: 96.2760, loss: 0.0888 2023-01-06 11:19:49,571 - mmseg - INFO - Iter [127600/160000] lr: 1.215e-05, eta: 3:02:47, time: 0.379, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0925, decode.acc_seg: 96.2182, loss: 0.0925 2023-01-06 11:20:06,003 - mmseg - INFO - Iter [127650/160000] lr: 1.213e-05, eta: 3:02:30, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0914, decode.acc_seg: 96.1098, loss: 0.0914 2023-01-06 11:20:22,568 - mmseg - INFO - Iter [127700/160000] lr: 1.211e-05, eta: 3:02:13, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0975, decode.acc_seg: 95.9543, loss: 0.0975 2023-01-06 11:20:39,042 - mmseg - INFO - Iter [127750/160000] lr: 1.209e-05, eta: 3:01:56, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0892, decode.acc_seg: 96.2751, loss: 0.0892 2023-01-06 11:20:55,498 - mmseg - INFO - Iter [127800/160000] lr: 1.208e-05, eta: 3:01:39, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0931, decode.acc_seg: 96.0737, loss: 0.0931 2023-01-06 11:21:11,731 - mmseg - INFO - Iter [127850/160000] lr: 1.206e-05, eta: 3:01:21, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1004, decode.acc_seg: 95.8942, loss: 0.1004 2023-01-06 11:21:28,127 - mmseg - INFO - Iter [127900/160000] lr: 1.204e-05, eta: 3:01:04, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0913, decode.acc_seg: 96.1188, loss: 0.0913 2023-01-06 11:21:44,393 - mmseg - INFO - Iter [127950/160000] lr: 1.202e-05, eta: 3:00:47, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0909, decode.acc_seg: 96.2195, loss: 0.0909 2023-01-06 11:22:03,038 - mmseg - INFO - Saving checkpoint at 128000 iterations 2023-01-06 11:22:05,991 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 11:22:05,991 - mmseg - INFO - Iter [128000/160000] lr: 1.200e-05, eta: 3:00:32, time: 0.432, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0958, decode.acc_seg: 96.1088, loss: 0.0958 2023-01-06 11:22:31,136 - mmseg - INFO - per class results: 2023-01-06 11:22:31,138 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 97.69 | 98.75 | | sidewalk | 81.54 | 90.82 | | building | 91.24 | 95.99 | | wall | 52.87 | 65.43 | | fence | 52.04 | 64.58 | | pole | 59.54 | 67.02 | | traffic light | 64.25 | 75.53 | | traffic sign | 73.64 | 80.4 | | vegetation | 91.94 | 96.7 | | terrain | 59.35 | 64.77 | | sky | 94.4 | 98.02 | | person | 77.08 | 88.27 | | rider | 51.89 | 64.54 | | car | 93.17 | 96.76 | | truck | 53.84 | 68.73 | | bus | 63.08 | 73.94 | | train | 48.21 | 76.51 | | motorcycle | 46.58 | 65.79 | | bicycle | 71.98 | 84.71 | +---------------+-------+-------+ 2023-01-06 11:22:31,138 - mmseg - INFO - Summary: 2023-01-06 11:22:31,139 - mmseg - INFO - +-------+------+-------+ | aAcc | mIoU | mAcc | +-------+------+-------+ | 95.21 | 69.7 | 79.86 | +-------+------+-------+ 2023-01-06 11:22:31,140 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 11:22:31,140 - mmseg - INFO - Iter(val) [63] aAcc: 0.9521, mIoU: 0.6970, mAcc: 0.7986, IoU.road: 0.9769, IoU.sidewalk: 0.8154, IoU.building: 0.9124, IoU.wall: 0.5287, IoU.fence: 0.5204, IoU.pole: 0.5954, IoU.traffic light: 0.6425, IoU.traffic sign: 0.7364, IoU.vegetation: 0.9194, IoU.terrain: 0.5935, IoU.sky: 0.9440, IoU.person: 0.7708, IoU.rider: 0.5189, IoU.car: 0.9317, IoU.truck: 0.5384, IoU.bus: 0.6308, IoU.train: 0.4821, IoU.motorcycle: 0.4658, IoU.bicycle: 0.7198, Acc.road: 0.9875, Acc.sidewalk: 0.9082, Acc.building: 0.9599, Acc.wall: 0.6543, Acc.fence: 0.6458, Acc.pole: 0.6702, Acc.traffic light: 0.7553, Acc.traffic sign: 0.8040, Acc.vegetation: 0.9670, Acc.terrain: 0.6477, Acc.sky: 0.9802, Acc.person: 0.8827, Acc.rider: 0.6454, Acc.car: 0.9676, Acc.truck: 0.6873, Acc.bus: 0.7394, Acc.train: 0.7651, Acc.motorcycle: 0.6579, Acc.bicycle: 0.8471 2023-01-06 11:22:47,437 - mmseg - INFO - Iter [128050/160000] lr: 1.198e-05, eta: 3:00:21, time: 0.829, data_time: 0.513, memory: 8466, decode.loss_ce: 0.0942, decode.acc_seg: 96.0299, loss: 0.0942 2023-01-06 11:23:03,635 - mmseg - INFO - Iter [128100/160000] lr: 1.196e-05, eta: 3:00:04, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0926, decode.acc_seg: 96.0344, loss: 0.0926 2023-01-06 11:23:20,143 - mmseg - INFO - Iter [128150/160000] lr: 1.194e-05, eta: 2:59:47, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0915, decode.acc_seg: 96.2072, loss: 0.0915 2023-01-06 11:23:36,544 - mmseg - INFO - Iter [128200/160000] lr: 1.193e-05, eta: 2:59:30, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0912, decode.acc_seg: 96.2362, loss: 0.0912 2023-01-06 11:23:52,902 - mmseg - INFO - Iter [128250/160000] lr: 1.191e-05, eta: 2:59:12, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0920, decode.acc_seg: 96.0829, loss: 0.0920 2023-01-06 11:24:09,197 - mmseg - INFO - Iter [128300/160000] lr: 1.189e-05, eta: 2:58:55, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0929, decode.acc_seg: 96.0804, loss: 0.0929 2023-01-06 11:24:27,709 - mmseg - INFO - Iter [128350/160000] lr: 1.187e-05, eta: 2:58:39, time: 0.370, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0924, decode.acc_seg: 96.1521, loss: 0.0924 2023-01-06 11:24:44,542 - mmseg - INFO - Iter [128400/160000] lr: 1.185e-05, eta: 2:58:22, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0922, decode.acc_seg: 96.2051, loss: 0.0922 2023-01-06 11:25:01,363 - mmseg - INFO - Iter [128450/160000] lr: 1.183e-05, eta: 2:58:05, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0917, decode.acc_seg: 96.2256, loss: 0.0917 2023-01-06 11:25:18,045 - mmseg - INFO - Iter [128500/160000] lr: 1.181e-05, eta: 2:57:48, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0901, decode.acc_seg: 96.1969, loss: 0.0901 2023-01-06 11:25:34,544 - mmseg - INFO - Iter [128550/160000] lr: 1.179e-05, eta: 2:57:31, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0904, decode.acc_seg: 96.1524, loss: 0.0904 2023-01-06 11:25:50,909 - mmseg - INFO - Iter [128600/160000] lr: 1.178e-05, eta: 2:57:14, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0930, decode.acc_seg: 96.0696, loss: 0.0930 2023-01-06 11:26:07,244 - mmseg - INFO - Iter [128650/160000] lr: 1.176e-05, eta: 2:56:57, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0933, decode.acc_seg: 96.1350, loss: 0.0933 2023-01-06 11:26:23,632 - mmseg - INFO - Iter [128700/160000] lr: 1.174e-05, eta: 2:56:40, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0950, decode.acc_seg: 96.0272, loss: 0.0950 2023-01-06 11:26:42,595 - mmseg - INFO - Iter [128750/160000] lr: 1.172e-05, eta: 2:56:23, time: 0.379, data_time: 0.054, memory: 8466, decode.loss_ce: 0.0882, decode.acc_seg: 96.3055, loss: 0.0882 2023-01-06 11:26:58,846 - mmseg - INFO - Iter [128800/160000] lr: 1.170e-05, eta: 2:56:06, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0914, decode.acc_seg: 96.1709, loss: 0.0914 2023-01-06 11:27:15,375 - mmseg - INFO - Iter [128850/160000] lr: 1.168e-05, eta: 2:55:49, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0965, decode.acc_seg: 96.0151, loss: 0.0965 2023-01-06 11:27:31,760 - mmseg - INFO - Iter [128900/160000] lr: 1.166e-05, eta: 2:55:32, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0984, decode.acc_seg: 95.9656, loss: 0.0984 2023-01-06 11:27:48,251 - mmseg - INFO - Iter [128950/160000] lr: 1.164e-05, eta: 2:55:15, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0977, decode.acc_seg: 95.9656, loss: 0.0977 2023-01-06 11:28:04,666 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 11:28:04,667 - mmseg - INFO - Iter [129000/160000] lr: 1.163e-05, eta: 2:54:58, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0929, decode.acc_seg: 96.1089, loss: 0.0929 2023-01-06 11:28:21,752 - mmseg - INFO - Iter [129050/160000] lr: 1.161e-05, eta: 2:54:41, time: 0.341, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0917, decode.acc_seg: 96.2274, loss: 0.0917 2023-01-06 11:28:40,278 - mmseg - INFO - Iter [129100/160000] lr: 1.159e-05, eta: 2:54:24, time: 0.371, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0996, decode.acc_seg: 95.8462, loss: 0.0996 2023-01-06 11:28:56,897 - mmseg - INFO - Iter [129150/160000] lr: 1.157e-05, eta: 2:54:07, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0940, decode.acc_seg: 96.0024, loss: 0.0940 2023-01-06 11:29:13,365 - mmseg - INFO - Iter [129200/160000] lr: 1.155e-05, eta: 2:53:50, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0946, decode.acc_seg: 96.0475, loss: 0.0946 2023-01-06 11:29:29,920 - mmseg - INFO - Iter [129250/160000] lr: 1.153e-05, eta: 2:53:33, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0909, decode.acc_seg: 95.8911, loss: 0.0909 2023-01-06 11:29:46,575 - mmseg - INFO - Iter [129300/160000] lr: 1.151e-05, eta: 2:53:16, time: 0.333, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0909, decode.acc_seg: 96.2479, loss: 0.0909 2023-01-06 11:30:02,943 - mmseg - INFO - Iter [129350/160000] lr: 1.149e-05, eta: 2:52:59, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0931, decode.acc_seg: 96.1707, loss: 0.0931 2023-01-06 11:30:19,188 - mmseg - INFO - Iter [129400/160000] lr: 1.148e-05, eta: 2:52:42, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0942, decode.acc_seg: 96.1213, loss: 0.0942 2023-01-06 11:30:35,293 - mmseg - INFO - Iter [129450/160000] lr: 1.146e-05, eta: 2:52:25, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0945, decode.acc_seg: 96.0942, loss: 0.0945 2023-01-06 11:30:53,773 - mmseg - INFO - Iter [129500/160000] lr: 1.144e-05, eta: 2:52:09, time: 0.370, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0953, decode.acc_seg: 96.0500, loss: 0.0953 2023-01-06 11:31:10,304 - mmseg - INFO - Iter [129550/160000] lr: 1.142e-05, eta: 2:51:51, time: 0.331, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0946, decode.acc_seg: 96.0284, loss: 0.0946 2023-01-06 11:31:27,333 - mmseg - INFO - Iter [129600/160000] lr: 1.140e-05, eta: 2:51:35, time: 0.341, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0910, decode.acc_seg: 96.1421, loss: 0.0910 2023-01-06 11:31:43,947 - mmseg - INFO - Iter [129650/160000] lr: 1.138e-05, eta: 2:51:18, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0964, decode.acc_seg: 95.9716, loss: 0.0964 2023-01-06 11:32:00,019 - mmseg - INFO - Iter [129700/160000] lr: 1.136e-05, eta: 2:51:00, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0950, decode.acc_seg: 96.0794, loss: 0.0950 2023-01-06 11:32:16,578 - mmseg - INFO - Iter [129750/160000] lr: 1.134e-05, eta: 2:50:43, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0881, decode.acc_seg: 96.2788, loss: 0.0881 2023-01-06 11:32:33,320 - mmseg - INFO - Iter [129800/160000] lr: 1.133e-05, eta: 2:50:26, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0940, decode.acc_seg: 96.1370, loss: 0.0940 2023-01-06 11:32:51,682 - mmseg - INFO - Iter [129850/160000] lr: 1.131e-05, eta: 2:50:10, time: 0.367, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0854, decode.acc_seg: 96.4448, loss: 0.0854 2023-01-06 11:33:08,059 - mmseg - INFO - Iter [129900/160000] lr: 1.129e-05, eta: 2:49:53, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0945, decode.acc_seg: 96.0571, loss: 0.0945 2023-01-06 11:33:24,807 - mmseg - INFO - Iter [129950/160000] lr: 1.127e-05, eta: 2:49:36, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0881, decode.acc_seg: 96.3315, loss: 0.0881 2023-01-06 11:33:41,213 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 11:33:41,214 - mmseg - INFO - Iter [130000/160000] lr: 1.125e-05, eta: 2:49:19, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0902, decode.acc_seg: 96.2856, loss: 0.0902 2023-01-06 11:33:57,629 - mmseg - INFO - Iter [130050/160000] lr: 1.123e-05, eta: 2:49:02, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0957, decode.acc_seg: 96.1011, loss: 0.0957 2023-01-06 11:34:13,962 - mmseg - INFO - Iter [130100/160000] lr: 1.121e-05, eta: 2:48:45, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0980, decode.acc_seg: 95.9134, loss: 0.0980 2023-01-06 11:34:30,375 - mmseg - INFO - Iter [130150/160000] lr: 1.119e-05, eta: 2:48:28, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0907, decode.acc_seg: 96.2287, loss: 0.0907 2023-01-06 11:34:47,085 - mmseg - INFO - Iter [130200/160000] lr: 1.118e-05, eta: 2:48:11, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0954, decode.acc_seg: 96.0557, loss: 0.0954 2023-01-06 11:35:05,699 - mmseg - INFO - Iter [130250/160000] lr: 1.116e-05, eta: 2:47:54, time: 0.373, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0961, decode.acc_seg: 95.9662, loss: 0.0961 2023-01-06 11:35:22,072 - mmseg - INFO - Iter [130300/160000] lr: 1.114e-05, eta: 2:47:37, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0870, decode.acc_seg: 96.4335, loss: 0.0870 2023-01-06 11:35:38,219 - mmseg - INFO - Iter [130350/160000] lr: 1.112e-05, eta: 2:47:20, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0974, decode.acc_seg: 95.9284, loss: 0.0974 2023-01-06 11:35:54,663 - mmseg - INFO - Iter [130400/160000] lr: 1.110e-05, eta: 2:47:03, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.1023, decode.acc_seg: 95.8689, loss: 0.1023 2023-01-06 11:36:11,272 - mmseg - INFO - Iter [130450/160000] lr: 1.108e-05, eta: 2:46:46, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0951, decode.acc_seg: 96.1500, loss: 0.0951 2023-01-06 11:36:27,689 - mmseg - INFO - Iter [130500/160000] lr: 1.106e-05, eta: 2:46:29, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0932, decode.acc_seg: 96.1014, loss: 0.0932 2023-01-06 11:36:44,354 - mmseg - INFO - Iter [130550/160000] lr: 1.104e-05, eta: 2:46:12, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0938, decode.acc_seg: 96.1704, loss: 0.0938 2023-01-06 11:37:03,056 - mmseg - INFO - Iter [130600/160000] lr: 1.103e-05, eta: 2:45:55, time: 0.374, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0940, decode.acc_seg: 96.0743, loss: 0.0940 2023-01-06 11:37:19,518 - mmseg - INFO - Iter [130650/160000] lr: 1.101e-05, eta: 2:45:38, time: 0.329, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0951, decode.acc_seg: 96.1121, loss: 0.0951 2023-01-06 11:37:35,955 - mmseg - INFO - Iter [130700/160000] lr: 1.099e-05, eta: 2:45:21, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0945, decode.acc_seg: 96.0743, loss: 0.0945 2023-01-06 11:37:52,527 - mmseg - INFO - Iter [130750/160000] lr: 1.097e-05, eta: 2:45:04, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0873, decode.acc_seg: 96.2463, loss: 0.0873 2023-01-06 11:38:08,941 - mmseg - INFO - Iter [130800/160000] lr: 1.095e-05, eta: 2:44:47, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0916, decode.acc_seg: 96.2062, loss: 0.0916 2023-01-06 11:38:25,724 - mmseg - INFO - Iter [130850/160000] lr: 1.093e-05, eta: 2:44:30, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0989, decode.acc_seg: 95.8863, loss: 0.0989 2023-01-06 11:38:42,025 - mmseg - INFO - Iter [130900/160000] lr: 1.091e-05, eta: 2:44:13, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0941, decode.acc_seg: 96.0671, loss: 0.0941 2023-01-06 11:39:00,921 - mmseg - INFO - Iter [130950/160000] lr: 1.089e-05, eta: 2:43:57, time: 0.378, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0888, decode.acc_seg: 96.2026, loss: 0.0888 2023-01-06 11:39:17,721 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 11:39:17,722 - mmseg - INFO - Iter [131000/160000] lr: 1.088e-05, eta: 2:43:40, time: 0.336, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0900, decode.acc_seg: 96.1534, loss: 0.0900 2023-01-06 11:39:34,005 - mmseg - INFO - Iter [131050/160000] lr: 1.086e-05, eta: 2:43:23, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0873, decode.acc_seg: 96.2804, loss: 0.0873 2023-01-06 11:39:50,559 - mmseg - INFO - Iter [131100/160000] lr: 1.084e-05, eta: 2:43:06, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0999, decode.acc_seg: 96.1066, loss: 0.0999 2023-01-06 11:40:06,944 - mmseg - INFO - Iter [131150/160000] lr: 1.082e-05, eta: 2:42:48, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0887, decode.acc_seg: 96.3584, loss: 0.0887 2023-01-06 11:40:23,434 - mmseg - INFO - Iter [131200/160000] lr: 1.080e-05, eta: 2:42:31, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0889, decode.acc_seg: 96.2449, loss: 0.0889 2023-01-06 11:40:39,642 - mmseg - INFO - Iter [131250/160000] lr: 1.078e-05, eta: 2:42:14, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0928, decode.acc_seg: 96.1724, loss: 0.0928 2023-01-06 11:40:56,228 - mmseg - INFO - Iter [131300/160000] lr: 1.076e-05, eta: 2:41:57, time: 0.332, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1019, decode.acc_seg: 95.8627, loss: 0.1019 2023-01-06 11:41:15,179 - mmseg - INFO - Iter [131350/160000] lr: 1.074e-05, eta: 2:41:41, time: 0.379, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0916, decode.acc_seg: 96.1366, loss: 0.0916 2023-01-06 11:41:31,654 - mmseg - INFO - Iter [131400/160000] lr: 1.073e-05, eta: 2:41:24, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0929, decode.acc_seg: 96.1310, loss: 0.0929 2023-01-06 11:41:47,951 - mmseg - INFO - Iter [131450/160000] lr: 1.071e-05, eta: 2:41:07, time: 0.326, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1018, decode.acc_seg: 95.9040, loss: 0.1018 2023-01-06 11:42:04,536 - mmseg - INFO - Iter [131500/160000] lr: 1.069e-05, eta: 2:40:50, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0890, decode.acc_seg: 96.2851, loss: 0.0890 2023-01-06 11:42:21,162 - mmseg - INFO - Iter [131550/160000] lr: 1.067e-05, eta: 2:40:33, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0897, decode.acc_seg: 96.1984, loss: 0.0897 2023-01-06 11:42:37,701 - mmseg - INFO - Iter [131600/160000] lr: 1.065e-05, eta: 2:40:16, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0910, decode.acc_seg: 96.1595, loss: 0.0910 2023-01-06 11:42:53,959 - mmseg - INFO - Iter [131650/160000] lr: 1.063e-05, eta: 2:39:59, time: 0.325, data_time: 0.011, memory: 8466, decode.loss_ce: 0.1041, decode.acc_seg: 95.9363, loss: 0.1041 2023-01-06 11:43:12,559 - mmseg - INFO - Iter [131700/160000] lr: 1.061e-05, eta: 2:39:42, time: 0.372, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0942, decode.acc_seg: 95.9850, loss: 0.0942 2023-01-06 11:43:29,150 - mmseg - INFO - Iter [131750/160000] lr: 1.059e-05, eta: 2:39:25, time: 0.332, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0926, decode.acc_seg: 96.1310, loss: 0.0926 2023-01-06 11:43:45,533 - mmseg - INFO - Iter [131800/160000] lr: 1.058e-05, eta: 2:39:08, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0928, decode.acc_seg: 96.1318, loss: 0.0928 2023-01-06 11:44:02,020 - mmseg - INFO - Iter [131850/160000] lr: 1.056e-05, eta: 2:38:51, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0931, decode.acc_seg: 96.1141, loss: 0.0931 2023-01-06 11:44:18,157 - mmseg - INFO - Iter [131900/160000] lr: 1.054e-05, eta: 2:38:34, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0884, decode.acc_seg: 96.2434, loss: 0.0884 2023-01-06 11:44:34,609 - mmseg - INFO - Iter [131950/160000] lr: 1.052e-05, eta: 2:38:17, time: 0.329, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0886, decode.acc_seg: 96.3205, loss: 0.0886 2023-01-06 11:44:51,441 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 11:44:51,442 - mmseg - INFO - Iter [132000/160000] lr: 1.050e-05, eta: 2:38:00, time: 0.336, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0872, decode.acc_seg: 96.3041, loss: 0.0872 2023-01-06 11:45:07,904 - mmseg - INFO - Iter [132050/160000] lr: 1.048e-05, eta: 2:37:43, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0841, decode.acc_seg: 96.4596, loss: 0.0841 2023-01-06 11:45:26,583 - mmseg - INFO - Iter [132100/160000] lr: 1.046e-05, eta: 2:37:26, time: 0.374, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0910, decode.acc_seg: 96.1830, loss: 0.0910 2023-01-06 11:45:43,046 - mmseg - INFO - Iter [132150/160000] lr: 1.044e-05, eta: 2:37:09, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0909, decode.acc_seg: 96.2200, loss: 0.0909 2023-01-06 11:45:59,420 - mmseg - INFO - Iter [132200/160000] lr: 1.043e-05, eta: 2:36:52, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0956, decode.acc_seg: 96.1548, loss: 0.0956 2023-01-06 11:46:15,683 - mmseg - INFO - Iter [132250/160000] lr: 1.041e-05, eta: 2:36:35, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0896, decode.acc_seg: 96.2611, loss: 0.0896 2023-01-06 11:46:31,960 - mmseg - INFO - Iter [132300/160000] lr: 1.039e-05, eta: 2:36:18, time: 0.326, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0931, decode.acc_seg: 96.0313, loss: 0.0931 2023-01-06 11:46:48,521 - mmseg - INFO - Iter [132350/160000] lr: 1.037e-05, eta: 2:36:01, time: 0.332, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0913, decode.acc_seg: 96.1528, loss: 0.0913 2023-01-06 11:47:05,047 - mmseg - INFO - Iter [132400/160000] lr: 1.035e-05, eta: 2:35:44, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0878, decode.acc_seg: 96.2777, loss: 0.0878 2023-01-06 11:47:24,023 - mmseg - INFO - Iter [132450/160000] lr: 1.033e-05, eta: 2:35:28, time: 0.380, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0966, decode.acc_seg: 95.9865, loss: 0.0966 2023-01-06 11:47:40,465 - mmseg - INFO - Iter [132500/160000] lr: 1.031e-05, eta: 2:35:11, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0873, decode.acc_seg: 96.2638, loss: 0.0873 2023-01-06 11:47:56,891 - mmseg - INFO - Iter [132550/160000] lr: 1.029e-05, eta: 2:34:54, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0891, decode.acc_seg: 96.2892, loss: 0.0891 2023-01-06 11:48:13,342 - mmseg - INFO - Iter [132600/160000] lr: 1.028e-05, eta: 2:34:37, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0955, decode.acc_seg: 96.1580, loss: 0.0955 2023-01-06 11:48:30,336 - mmseg - INFO - Iter [132650/160000] lr: 1.026e-05, eta: 2:34:20, time: 0.340, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0929, decode.acc_seg: 96.0969, loss: 0.0929 2023-01-06 11:48:46,579 - mmseg - INFO - Iter [132700/160000] lr: 1.024e-05, eta: 2:34:03, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0940, decode.acc_seg: 96.1609, loss: 0.0940 2023-01-06 11:49:03,296 - mmseg - INFO - Iter [132750/160000] lr: 1.022e-05, eta: 2:33:46, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0907, decode.acc_seg: 96.2261, loss: 0.0907 2023-01-06 11:49:19,554 - mmseg - INFO - Iter [132800/160000] lr: 1.020e-05, eta: 2:33:29, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0915, decode.acc_seg: 96.1789, loss: 0.0915 2023-01-06 11:49:38,128 - mmseg - INFO - Iter [132850/160000] lr: 1.018e-05, eta: 2:33:12, time: 0.371, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0947, decode.acc_seg: 96.0478, loss: 0.0947 2023-01-06 11:49:54,589 - mmseg - INFO - Iter [132900/160000] lr: 1.016e-05, eta: 2:32:55, time: 0.329, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0924, decode.acc_seg: 96.1734, loss: 0.0924 2023-01-06 11:50:11,116 - mmseg - INFO - Iter [132950/160000] lr: 1.014e-05, eta: 2:32:38, time: 0.331, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0957, decode.acc_seg: 96.0819, loss: 0.0957 2023-01-06 11:50:27,808 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 11:50:27,809 - mmseg - INFO - Iter [133000/160000] lr: 1.013e-05, eta: 2:32:21, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0927, decode.acc_seg: 96.1150, loss: 0.0927 2023-01-06 11:50:44,216 - mmseg - INFO - Iter [133050/160000] lr: 1.011e-05, eta: 2:32:04, time: 0.329, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0944, decode.acc_seg: 96.0291, loss: 0.0944 2023-01-06 11:51:00,579 - mmseg - INFO - Iter [133100/160000] lr: 1.009e-05, eta: 2:31:47, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0942, decode.acc_seg: 95.9287, loss: 0.0942 2023-01-06 11:51:17,425 - mmseg - INFO - Iter [133150/160000] lr: 1.007e-05, eta: 2:31:30, time: 0.337, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0894, decode.acc_seg: 96.3045, loss: 0.0894 2023-01-06 11:51:36,262 - mmseg - INFO - Iter [133200/160000] lr: 1.005e-05, eta: 2:31:13, time: 0.377, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0881, decode.acc_seg: 96.1782, loss: 0.0881 2023-01-06 11:51:52,744 - mmseg - INFO - Iter [133250/160000] lr: 1.003e-05, eta: 2:30:56, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0920, decode.acc_seg: 96.2439, loss: 0.0920 2023-01-06 11:52:09,624 - mmseg - INFO - Iter [133300/160000] lr: 1.001e-05, eta: 2:30:39, time: 0.338, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0933, decode.acc_seg: 96.1757, loss: 0.0933 2023-01-06 11:52:26,478 - mmseg - INFO - Iter [133350/160000] lr: 9.994e-06, eta: 2:30:22, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0853, decode.acc_seg: 96.3469, loss: 0.0853 2023-01-06 11:52:42,728 - mmseg - INFO - Iter [133400/160000] lr: 9.975e-06, eta: 2:30:05, time: 0.325, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0883, decode.acc_seg: 96.3581, loss: 0.0883 2023-01-06 11:52:59,245 - mmseg - INFO - Iter [133450/160000] lr: 9.957e-06, eta: 2:29:48, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0896, decode.acc_seg: 96.2917, loss: 0.0896 2023-01-06 11:53:15,807 - mmseg - INFO - Iter [133500/160000] lr: 9.938e-06, eta: 2:29:31, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0917, decode.acc_seg: 96.2091, loss: 0.0917 2023-01-06 11:53:34,976 - mmseg - INFO - Iter [133550/160000] lr: 9.919e-06, eta: 2:29:15, time: 0.383, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0847, decode.acc_seg: 96.4717, loss: 0.0847 2023-01-06 11:53:51,207 - mmseg - INFO - Iter [133600/160000] lr: 9.900e-06, eta: 2:28:58, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0902, decode.acc_seg: 96.0178, loss: 0.0902 2023-01-06 11:54:07,711 - mmseg - INFO - Iter [133650/160000] lr: 9.882e-06, eta: 2:28:41, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0880, decode.acc_seg: 96.3792, loss: 0.0880 2023-01-06 11:54:24,156 - mmseg - INFO - Iter [133700/160000] lr: 9.863e-06, eta: 2:28:24, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0945, decode.acc_seg: 96.0804, loss: 0.0945 2023-01-06 11:54:40,315 - mmseg - INFO - Iter [133750/160000] lr: 9.844e-06, eta: 2:28:07, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0924, decode.acc_seg: 96.2051, loss: 0.0924 2023-01-06 11:54:56,685 - mmseg - INFO - Iter [133800/160000] lr: 9.825e-06, eta: 2:27:50, time: 0.328, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0925, decode.acc_seg: 96.2702, loss: 0.0925 2023-01-06 11:55:12,868 - mmseg - INFO - Iter [133850/160000] lr: 9.807e-06, eta: 2:27:33, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0933, decode.acc_seg: 96.1017, loss: 0.0933 2023-01-06 11:55:29,134 - mmseg - INFO - Iter [133900/160000] lr: 9.788e-06, eta: 2:27:16, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0900, decode.acc_seg: 96.1805, loss: 0.0900 2023-01-06 11:55:47,771 - mmseg - INFO - Iter [133950/160000] lr: 9.769e-06, eta: 2:26:59, time: 0.373, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0920, decode.acc_seg: 96.2080, loss: 0.0920 2023-01-06 11:56:04,080 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 11:56:04,080 - mmseg - INFO - Iter [134000/160000] lr: 9.750e-06, eta: 2:26:42, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0939, decode.acc_seg: 96.0707, loss: 0.0939 2023-01-06 11:56:20,357 - mmseg - INFO - Iter [134050/160000] lr: 9.732e-06, eta: 2:26:25, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0930, decode.acc_seg: 96.0787, loss: 0.0930 2023-01-06 11:56:36,823 - mmseg - INFO - Iter [134100/160000] lr: 9.713e-06, eta: 2:26:08, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0922, decode.acc_seg: 96.1645, loss: 0.0922 2023-01-06 11:56:53,392 - mmseg - INFO - Iter [134150/160000] lr: 9.694e-06, eta: 2:25:51, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0913, decode.acc_seg: 96.2101, loss: 0.0913 2023-01-06 11:57:09,482 - mmseg - INFO - Iter [134200/160000] lr: 9.675e-06, eta: 2:25:34, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0898, decode.acc_seg: 96.2586, loss: 0.0898 2023-01-06 11:57:25,793 - mmseg - INFO - Iter [134250/160000] lr: 9.657e-06, eta: 2:25:17, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0925, decode.acc_seg: 96.1931, loss: 0.0925 2023-01-06 11:57:45,067 - mmseg - INFO - Iter [134300/160000] lr: 9.638e-06, eta: 2:25:00, time: 0.385, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0914, decode.acc_seg: 96.2258, loss: 0.0914 2023-01-06 11:58:01,502 - mmseg - INFO - Iter [134350/160000] lr: 9.619e-06, eta: 2:24:43, time: 0.329, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0895, decode.acc_seg: 96.3143, loss: 0.0895 2023-01-06 11:58:18,268 - mmseg - INFO - Iter [134400/160000] lr: 9.600e-06, eta: 2:24:26, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0918, decode.acc_seg: 96.2172, loss: 0.0918 2023-01-06 11:58:34,905 - mmseg - INFO - Iter [134450/160000] lr: 9.582e-06, eta: 2:24:09, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0923, decode.acc_seg: 95.9918, loss: 0.0923 2023-01-06 11:58:51,810 - mmseg - INFO - Iter [134500/160000] lr: 9.563e-06, eta: 2:23:52, time: 0.338, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0893, decode.acc_seg: 96.1433, loss: 0.0893 2023-01-06 11:59:08,828 - mmseg - INFO - Iter [134550/160000] lr: 9.544e-06, eta: 2:23:35, time: 0.340, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0894, decode.acc_seg: 96.1564, loss: 0.0894 2023-01-06 11:59:24,871 - mmseg - INFO - Iter [134600/160000] lr: 9.525e-06, eta: 2:23:18, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0894, decode.acc_seg: 96.3319, loss: 0.0894 2023-01-06 11:59:41,378 - mmseg - INFO - Iter [134650/160000] lr: 9.507e-06, eta: 2:23:01, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0948, decode.acc_seg: 96.0858, loss: 0.0948 2023-01-06 12:00:00,669 - mmseg - INFO - Iter [134700/160000] lr: 9.488e-06, eta: 2:22:45, time: 0.386, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0914, decode.acc_seg: 96.1661, loss: 0.0914 2023-01-06 12:00:16,917 - mmseg - INFO - Iter [134750/160000] lr: 9.469e-06, eta: 2:22:28, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0919, decode.acc_seg: 96.1732, loss: 0.0919 2023-01-06 12:00:33,273 - mmseg - INFO - Iter [134800/160000] lr: 9.450e-06, eta: 2:22:11, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0882, decode.acc_seg: 96.3727, loss: 0.0882 2023-01-06 12:00:49,707 - mmseg - INFO - Iter [134850/160000] lr: 9.432e-06, eta: 2:21:54, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0883, decode.acc_seg: 96.2459, loss: 0.0883 2023-01-06 12:01:06,047 - mmseg - INFO - Iter [134900/160000] lr: 9.413e-06, eta: 2:21:37, time: 0.327, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0940, decode.acc_seg: 96.1061, loss: 0.0940 2023-01-06 12:01:22,251 - mmseg - INFO - Iter [134950/160000] lr: 9.394e-06, eta: 2:21:20, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0919, decode.acc_seg: 96.2395, loss: 0.0919 2023-01-06 12:01:38,493 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 12:01:38,494 - mmseg - INFO - Iter [135000/160000] lr: 9.375e-06, eta: 2:21:03, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0907, decode.acc_seg: 96.2020, loss: 0.0907 2023-01-06 12:01:57,317 - mmseg - INFO - Iter [135050/160000] lr: 9.357e-06, eta: 2:20:46, time: 0.376, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0975, decode.acc_seg: 95.9448, loss: 0.0975 2023-01-06 12:02:13,449 - mmseg - INFO - Iter [135100/160000] lr: 9.338e-06, eta: 2:20:29, time: 0.323, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0901, decode.acc_seg: 96.2680, loss: 0.0901 2023-01-06 12:02:30,104 - mmseg - INFO - Iter [135150/160000] lr: 9.319e-06, eta: 2:20:12, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0842, decode.acc_seg: 96.4694, loss: 0.0842 2023-01-06 12:02:46,382 - mmseg - INFO - Iter [135200/160000] lr: 9.300e-06, eta: 2:19:55, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0874, decode.acc_seg: 96.1287, loss: 0.0874 2023-01-06 12:03:03,170 - mmseg - INFO - Iter [135250/160000] lr: 9.282e-06, eta: 2:19:38, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0936, decode.acc_seg: 96.0799, loss: 0.0936 2023-01-06 12:03:19,621 - mmseg - INFO - Iter [135300/160000] lr: 9.263e-06, eta: 2:19:21, time: 0.329, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0913, decode.acc_seg: 96.1269, loss: 0.0913 2023-01-06 12:03:36,184 - mmseg - INFO - Iter [135350/160000] lr: 9.244e-06, eta: 2:19:04, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0914, decode.acc_seg: 96.1726, loss: 0.0914 2023-01-06 12:03:53,180 - mmseg - INFO - Iter [135400/160000] lr: 9.225e-06, eta: 2:18:47, time: 0.340, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0902, decode.acc_seg: 96.2005, loss: 0.0902 2023-01-06 12:04:12,008 - mmseg - INFO - Iter [135450/160000] lr: 9.207e-06, eta: 2:18:30, time: 0.376, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0894, decode.acc_seg: 96.2690, loss: 0.0894 2023-01-06 12:04:28,703 - mmseg - INFO - Iter [135500/160000] lr: 9.188e-06, eta: 2:18:13, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0953, decode.acc_seg: 96.1269, loss: 0.0953 2023-01-06 12:04:44,947 - mmseg - INFO - Iter [135550/160000] lr: 9.169e-06, eta: 2:17:56, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0869, decode.acc_seg: 96.2523, loss: 0.0869 2023-01-06 12:05:01,668 - mmseg - INFO - Iter [135600/160000] lr: 9.150e-06, eta: 2:17:39, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0879, decode.acc_seg: 96.3585, loss: 0.0879 2023-01-06 12:05:18,113 - mmseg - INFO - Iter [135650/160000] lr: 9.132e-06, eta: 2:17:22, time: 0.329, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0852, decode.acc_seg: 96.2637, loss: 0.0852 2023-01-06 12:05:34,321 - mmseg - INFO - Iter [135700/160000] lr: 9.113e-06, eta: 2:17:05, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0930, decode.acc_seg: 96.1566, loss: 0.0930 2023-01-06 12:05:50,994 - mmseg - INFO - Iter [135750/160000] lr: 9.094e-06, eta: 2:16:48, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0881, decode.acc_seg: 96.3155, loss: 0.0881 2023-01-06 12:06:09,802 - mmseg - INFO - Iter [135800/160000] lr: 9.075e-06, eta: 2:16:32, time: 0.376, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0866, decode.acc_seg: 96.3366, loss: 0.0866 2023-01-06 12:06:26,217 - mmseg - INFO - Iter [135850/160000] lr: 9.057e-06, eta: 2:16:15, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0946, decode.acc_seg: 96.0875, loss: 0.0946 2023-01-06 12:06:42,551 - mmseg - INFO - Iter [135900/160000] lr: 9.038e-06, eta: 2:15:58, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0954, decode.acc_seg: 96.0966, loss: 0.0954 2023-01-06 12:06:59,358 - mmseg - INFO - Iter [135950/160000] lr: 9.019e-06, eta: 2:15:41, time: 0.336, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0916, decode.acc_seg: 96.1385, loss: 0.0916 2023-01-06 12:07:15,624 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 12:07:15,625 - mmseg - INFO - Iter [136000/160000] lr: 9.000e-06, eta: 2:15:24, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0943, decode.acc_seg: 96.1477, loss: 0.0943 2023-01-06 12:07:32,175 - mmseg - INFO - Iter [136050/160000] lr: 8.982e-06, eta: 2:15:07, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0937, decode.acc_seg: 96.0710, loss: 0.0937 2023-01-06 12:07:48,815 - mmseg - INFO - Iter [136100/160000] lr: 8.963e-06, eta: 2:14:50, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0950, decode.acc_seg: 96.2018, loss: 0.0950 2023-01-06 12:08:05,466 - mmseg - INFO - Iter [136150/160000] lr: 8.944e-06, eta: 2:14:33, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0878, decode.acc_seg: 96.2845, loss: 0.0878 2023-01-06 12:08:24,364 - mmseg - INFO - Iter [136200/160000] lr: 8.925e-06, eta: 2:14:16, time: 0.378, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0957, decode.acc_seg: 96.1120, loss: 0.0957 2023-01-06 12:08:40,884 - mmseg - INFO - Iter [136250/160000] lr: 8.907e-06, eta: 2:13:59, time: 0.331, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0898, decode.acc_seg: 96.3105, loss: 0.0898 2023-01-06 12:08:57,563 - mmseg - INFO - Iter [136300/160000] lr: 8.888e-06, eta: 2:13:42, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0894, decode.acc_seg: 96.2522, loss: 0.0894 2023-01-06 12:09:13,682 - mmseg - INFO - Iter [136350/160000] lr: 8.869e-06, eta: 2:13:25, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0902, decode.acc_seg: 96.1467, loss: 0.0902 2023-01-06 12:09:29,963 - mmseg - INFO - Iter [136400/160000] lr: 8.850e-06, eta: 2:13:08, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0919, decode.acc_seg: 96.2180, loss: 0.0919 2023-01-06 12:09:46,790 - mmseg - INFO - Iter [136450/160000] lr: 8.832e-06, eta: 2:12:51, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0923, decode.acc_seg: 96.1702, loss: 0.0923 2023-01-06 12:10:03,794 - mmseg - INFO - Iter [136500/160000] lr: 8.813e-06, eta: 2:12:34, time: 0.340, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0952, decode.acc_seg: 96.1556, loss: 0.0952 2023-01-06 12:10:22,428 - mmseg - INFO - Iter [136550/160000] lr: 8.794e-06, eta: 2:12:18, time: 0.373, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0953, decode.acc_seg: 96.0552, loss: 0.0953 2023-01-06 12:10:39,186 - mmseg - INFO - Iter [136600/160000] lr: 8.775e-06, eta: 2:12:01, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0964, decode.acc_seg: 96.0619, loss: 0.0964 2023-01-06 12:10:56,172 - mmseg - INFO - Iter [136650/160000] lr: 8.757e-06, eta: 2:11:44, time: 0.339, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0910, decode.acc_seg: 96.2171, loss: 0.0910 2023-01-06 12:11:12,357 - mmseg - INFO - Iter [136700/160000] lr: 8.738e-06, eta: 2:11:27, time: 0.324, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0891, decode.acc_seg: 96.2455, loss: 0.0891 2023-01-06 12:11:28,852 - mmseg - INFO - Iter [136750/160000] lr: 8.719e-06, eta: 2:11:10, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0948, decode.acc_seg: 96.0649, loss: 0.0948 2023-01-06 12:11:45,388 - mmseg - INFO - Iter [136800/160000] lr: 8.700e-06, eta: 2:10:53, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0871, decode.acc_seg: 96.3449, loss: 0.0871 2023-01-06 12:12:02,184 - mmseg - INFO - Iter [136850/160000] lr: 8.682e-06, eta: 2:10:36, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0915, decode.acc_seg: 96.1828, loss: 0.0915 2023-01-06 12:12:21,013 - mmseg - INFO - Iter [136900/160000] lr: 8.663e-06, eta: 2:10:19, time: 0.377, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0899, decode.acc_seg: 96.1330, loss: 0.0899 2023-01-06 12:12:37,891 - mmseg - INFO - Iter [136950/160000] lr: 8.644e-06, eta: 2:10:02, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0867, decode.acc_seg: 96.2797, loss: 0.0867 2023-01-06 12:12:54,429 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 12:12:54,430 - mmseg - INFO - Iter [137000/160000] lr: 8.625e-06, eta: 2:09:45, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0912, decode.acc_seg: 96.1754, loss: 0.0912 2023-01-06 12:13:10,952 - mmseg - INFO - Iter [137050/160000] lr: 8.607e-06, eta: 2:09:28, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0873, decode.acc_seg: 96.3429, loss: 0.0873 2023-01-06 12:13:27,636 - mmseg - INFO - Iter [137100/160000] lr: 8.588e-06, eta: 2:09:11, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0862, decode.acc_seg: 96.3737, loss: 0.0862 2023-01-06 12:13:44,097 - mmseg - INFO - Iter [137150/160000] lr: 8.569e-06, eta: 2:08:54, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0904, decode.acc_seg: 96.3361, loss: 0.0904 2023-01-06 12:14:00,488 - mmseg - INFO - Iter [137200/160000] lr: 8.550e-06, eta: 2:08:37, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0905, decode.acc_seg: 96.2673, loss: 0.0905 2023-01-06 12:14:16,812 - mmseg - INFO - Iter [137250/160000] lr: 8.532e-06, eta: 2:08:20, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0906, decode.acc_seg: 96.1743, loss: 0.0906 2023-01-06 12:14:35,544 - mmseg - INFO - Iter [137300/160000] lr: 8.513e-06, eta: 2:08:04, time: 0.375, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0965, decode.acc_seg: 96.1504, loss: 0.0965 2023-01-06 12:14:51,999 - mmseg - INFO - Iter [137350/160000] lr: 8.494e-06, eta: 2:07:47, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0903, decode.acc_seg: 96.2201, loss: 0.0903 2023-01-06 12:15:08,042 - mmseg - INFO - Iter [137400/160000] lr: 8.475e-06, eta: 2:07:30, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0928, decode.acc_seg: 96.1976, loss: 0.0928 2023-01-06 12:15:24,552 - mmseg - INFO - Iter [137450/160000] lr: 8.457e-06, eta: 2:07:13, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0858, decode.acc_seg: 96.3659, loss: 0.0858 2023-01-06 12:15:40,961 - mmseg - INFO - Iter [137500/160000] lr: 8.438e-06, eta: 2:06:56, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0869, decode.acc_seg: 96.3553, loss: 0.0869 2023-01-06 12:15:57,426 - mmseg - INFO - Iter [137550/160000] lr: 8.419e-06, eta: 2:06:39, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0917, decode.acc_seg: 96.1510, loss: 0.0917 2023-01-06 12:16:13,860 - mmseg - INFO - Iter [137600/160000] lr: 8.400e-06, eta: 2:06:22, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0952, decode.acc_seg: 96.0115, loss: 0.0952 2023-01-06 12:16:32,984 - mmseg - INFO - Iter [137650/160000] lr: 8.382e-06, eta: 2:06:05, time: 0.383, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0910, decode.acc_seg: 96.3323, loss: 0.0910 2023-01-06 12:16:49,563 - mmseg - INFO - Iter [137700/160000] lr: 8.363e-06, eta: 2:05:48, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0873, decode.acc_seg: 96.2658, loss: 0.0873 2023-01-06 12:17:06,232 - mmseg - INFO - Iter [137750/160000] lr: 8.344e-06, eta: 2:05:31, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0980, decode.acc_seg: 95.9688, loss: 0.0980 2023-01-06 12:17:22,703 - mmseg - INFO - Iter [137800/160000] lr: 8.325e-06, eta: 2:05:14, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0902, decode.acc_seg: 96.2562, loss: 0.0902 2023-01-06 12:17:39,039 - mmseg - INFO - Iter [137850/160000] lr: 8.307e-06, eta: 2:04:57, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0842, decode.acc_seg: 96.4363, loss: 0.0842 2023-01-06 12:17:55,747 - mmseg - INFO - Iter [137900/160000] lr: 8.288e-06, eta: 2:04:40, time: 0.335, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0893, decode.acc_seg: 96.2208, loss: 0.0893 2023-01-06 12:18:12,003 - mmseg - INFO - Iter [137950/160000] lr: 8.269e-06, eta: 2:04:23, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0893, decode.acc_seg: 96.2086, loss: 0.0893 2023-01-06 12:18:28,312 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 12:18:28,313 - mmseg - INFO - Iter [138000/160000] lr: 8.250e-06, eta: 2:04:06, time: 0.326, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0921, decode.acc_seg: 96.1867, loss: 0.0921 2023-01-06 12:18:47,154 - mmseg - INFO - Iter [138050/160000] lr: 8.232e-06, eta: 2:03:49, time: 0.377, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0864, decode.acc_seg: 96.3464, loss: 0.0864 2023-01-06 12:19:03,283 - mmseg - INFO - Iter [138100/160000] lr: 8.213e-06, eta: 2:03:32, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0907, decode.acc_seg: 96.3025, loss: 0.0907 2023-01-06 12:19:19,755 - mmseg - INFO - Iter [138150/160000] lr: 8.194e-06, eta: 2:03:15, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0870, decode.acc_seg: 96.3347, loss: 0.0870 2023-01-06 12:19:35,961 - mmseg - INFO - Iter [138200/160000] lr: 8.175e-06, eta: 2:02:58, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0849, decode.acc_seg: 96.4614, loss: 0.0849 2023-01-06 12:19:53,138 - mmseg - INFO - Iter [138250/160000] lr: 8.157e-06, eta: 2:02:42, time: 0.344, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0886, decode.acc_seg: 96.2654, loss: 0.0886 2023-01-06 12:20:09,544 - mmseg - INFO - Iter [138300/160000] lr: 8.138e-06, eta: 2:02:24, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0901, decode.acc_seg: 96.2559, loss: 0.0901 2023-01-06 12:20:25,614 - mmseg - INFO - Iter [138350/160000] lr: 8.119e-06, eta: 2:02:07, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0913, decode.acc_seg: 96.2368, loss: 0.0913 2023-01-06 12:20:44,583 - mmseg - INFO - Iter [138400/160000] lr: 8.100e-06, eta: 2:01:51, time: 0.379, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0896, decode.acc_seg: 96.1717, loss: 0.0896 2023-01-06 12:21:00,893 - mmseg - INFO - Iter [138450/160000] lr: 8.082e-06, eta: 2:01:34, time: 0.326, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0904, decode.acc_seg: 96.3065, loss: 0.0904 2023-01-06 12:21:17,331 - mmseg - INFO - Iter [138500/160000] lr: 8.063e-06, eta: 2:01:17, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0906, decode.acc_seg: 96.1592, loss: 0.0906 2023-01-06 12:21:33,714 - mmseg - INFO - Iter [138550/160000] lr: 8.044e-06, eta: 2:01:00, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0893, decode.acc_seg: 96.3372, loss: 0.0893 2023-01-06 12:21:49,977 - mmseg - INFO - Iter [138600/160000] lr: 8.025e-06, eta: 2:00:43, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0883, decode.acc_seg: 96.3114, loss: 0.0883 2023-01-06 12:22:06,278 - mmseg - INFO - Iter [138650/160000] lr: 8.007e-06, eta: 2:00:26, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0902, decode.acc_seg: 96.2531, loss: 0.0902 2023-01-06 12:22:22,633 - mmseg - INFO - Iter [138700/160000] lr: 7.988e-06, eta: 2:00:09, time: 0.327, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0917, decode.acc_seg: 96.1197, loss: 0.0917 2023-01-06 12:22:39,084 - mmseg - INFO - Iter [138750/160000] lr: 7.969e-06, eta: 1:59:52, time: 0.329, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0843, decode.acc_seg: 96.4138, loss: 0.0843 2023-01-06 12:22:57,781 - mmseg - INFO - Iter [138800/160000] lr: 7.950e-06, eta: 1:59:35, time: 0.374, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0864, decode.acc_seg: 96.4117, loss: 0.0864 2023-01-06 12:23:14,122 - mmseg - INFO - Iter [138850/160000] lr: 7.932e-06, eta: 1:59:18, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0925, decode.acc_seg: 96.1074, loss: 0.0925 2023-01-06 12:23:30,606 - mmseg - INFO - Iter [138900/160000] lr: 7.913e-06, eta: 1:59:01, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0919, decode.acc_seg: 96.2877, loss: 0.0919 2023-01-06 12:23:47,509 - mmseg - INFO - Iter [138950/160000] lr: 7.894e-06, eta: 1:58:44, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0914, decode.acc_seg: 96.1740, loss: 0.0914 2023-01-06 12:24:04,115 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 12:24:04,115 - mmseg - INFO - Iter [139000/160000] lr: 7.875e-06, eta: 1:58:27, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0872, decode.acc_seg: 96.3122, loss: 0.0872 2023-01-06 12:24:20,579 - mmseg - INFO - Iter [139050/160000] lr: 7.857e-06, eta: 1:58:10, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0881, decode.acc_seg: 96.3272, loss: 0.0881 2023-01-06 12:24:36,567 - mmseg - INFO - Iter [139100/160000] lr: 7.838e-06, eta: 1:57:53, time: 0.320, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0897, decode.acc_seg: 96.2730, loss: 0.0897 2023-01-06 12:24:55,057 - mmseg - INFO - Iter [139150/160000] lr: 7.819e-06, eta: 1:57:36, time: 0.369, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0996, decode.acc_seg: 95.9386, loss: 0.0996 2023-01-06 12:25:11,234 - mmseg - INFO - Iter [139200/160000] lr: 7.800e-06, eta: 1:57:19, time: 0.324, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0889, decode.acc_seg: 96.2596, loss: 0.0889 2023-01-06 12:25:28,036 - mmseg - INFO - Iter [139250/160000] lr: 7.782e-06, eta: 1:57:02, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0908, decode.acc_seg: 96.1620, loss: 0.0908 2023-01-06 12:25:44,397 - mmseg - INFO - Iter [139300/160000] lr: 7.763e-06, eta: 1:56:45, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0943, decode.acc_seg: 96.1310, loss: 0.0943 2023-01-06 12:26:00,711 - mmseg - INFO - Iter [139350/160000] lr: 7.744e-06, eta: 1:56:28, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0908, decode.acc_seg: 96.2345, loss: 0.0908 2023-01-06 12:26:16,913 - mmseg - INFO - Iter [139400/160000] lr: 7.725e-06, eta: 1:56:11, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0942, decode.acc_seg: 96.0718, loss: 0.0942 2023-01-06 12:26:33,242 - mmseg - INFO - Iter [139450/160000] lr: 7.707e-06, eta: 1:55:54, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0906, decode.acc_seg: 96.1985, loss: 0.0906 2023-01-06 12:26:49,660 - mmseg - INFO - Iter [139500/160000] lr: 7.688e-06, eta: 1:55:37, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0873, decode.acc_seg: 96.3880, loss: 0.0873 2023-01-06 12:27:08,127 - mmseg - INFO - Iter [139550/160000] lr: 7.669e-06, eta: 1:55:21, time: 0.370, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0865, decode.acc_seg: 96.4565, loss: 0.0865 2023-01-06 12:27:24,875 - mmseg - INFO - Iter [139600/160000] lr: 7.650e-06, eta: 1:55:04, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0883, decode.acc_seg: 96.2288, loss: 0.0883 2023-01-06 12:27:41,551 - mmseg - INFO - Iter [139650/160000] lr: 7.632e-06, eta: 1:54:47, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0955, decode.acc_seg: 96.1368, loss: 0.0955 2023-01-06 12:27:57,915 - mmseg - INFO - Iter [139700/160000] lr: 7.613e-06, eta: 1:54:30, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0893, decode.acc_seg: 96.3295, loss: 0.0893 2023-01-06 12:28:14,355 - mmseg - INFO - Iter [139750/160000] lr: 7.594e-06, eta: 1:54:13, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0982, decode.acc_seg: 95.9898, loss: 0.0982 2023-01-06 12:28:31,137 - mmseg - INFO - Iter [139800/160000] lr: 7.575e-06, eta: 1:53:56, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0890, decode.acc_seg: 96.3713, loss: 0.0890 2023-01-06 12:28:47,148 - mmseg - INFO - Iter [139850/160000] lr: 7.557e-06, eta: 1:53:39, time: 0.320, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0901, decode.acc_seg: 96.3359, loss: 0.0901 2023-01-06 12:29:05,677 - mmseg - INFO - Iter [139900/160000] lr: 7.538e-06, eta: 1:53:22, time: 0.370, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0888, decode.acc_seg: 96.1684, loss: 0.0888 2023-01-06 12:29:22,511 - mmseg - INFO - Iter [139950/160000] lr: 7.519e-06, eta: 1:53:05, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0936, decode.acc_seg: 96.1301, loss: 0.0936 2023-01-06 12:29:38,791 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 12:29:38,792 - mmseg - INFO - Iter [140000/160000] lr: 7.500e-06, eta: 1:52:48, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0964, decode.acc_seg: 96.1620, loss: 0.0964 2023-01-06 12:29:55,295 - mmseg - INFO - Iter [140050/160000] lr: 7.482e-06, eta: 1:52:31, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0868, decode.acc_seg: 96.3103, loss: 0.0868 2023-01-06 12:30:11,919 - mmseg - INFO - Iter [140100/160000] lr: 7.463e-06, eta: 1:52:14, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0868, decode.acc_seg: 96.3356, loss: 0.0868 2023-01-06 12:30:28,139 - mmseg - INFO - Iter [140150/160000] lr: 7.444e-06, eta: 1:51:57, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0876, decode.acc_seg: 96.4144, loss: 0.0876 2023-01-06 12:30:44,174 - mmseg - INFO - Iter [140200/160000] lr: 7.425e-06, eta: 1:51:40, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0910, decode.acc_seg: 96.2842, loss: 0.0910 2023-01-06 12:31:02,622 - mmseg - INFO - Iter [140250/160000] lr: 7.407e-06, eta: 1:51:23, time: 0.369, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0935, decode.acc_seg: 96.1309, loss: 0.0935 2023-01-06 12:31:19,073 - mmseg - INFO - Iter [140300/160000] lr: 7.388e-06, eta: 1:51:06, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0907, decode.acc_seg: 96.2708, loss: 0.0907 2023-01-06 12:31:35,129 - mmseg - INFO - Iter [140350/160000] lr: 7.369e-06, eta: 1:50:49, time: 0.321, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0867, decode.acc_seg: 96.2636, loss: 0.0867 2023-01-06 12:31:51,722 - mmseg - INFO - Iter [140400/160000] lr: 7.350e-06, eta: 1:50:32, time: 0.332, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0909, decode.acc_seg: 96.2096, loss: 0.0909 2023-01-06 12:32:08,624 - mmseg - INFO - Iter [140450/160000] lr: 7.332e-06, eta: 1:50:16, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0903, decode.acc_seg: 96.2369, loss: 0.0903 2023-01-06 12:32:25,087 - mmseg - INFO - Iter [140500/160000] lr: 7.313e-06, eta: 1:49:59, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0860, decode.acc_seg: 96.4567, loss: 0.0860 2023-01-06 12:32:41,550 - mmseg - INFO - Iter [140550/160000] lr: 7.294e-06, eta: 1:49:42, time: 0.329, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0861, decode.acc_seg: 96.3512, loss: 0.0861 2023-01-06 12:32:57,591 - mmseg - INFO - Iter [140600/160000] lr: 7.275e-06, eta: 1:49:25, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0850, decode.acc_seg: 96.4224, loss: 0.0850 2023-01-06 12:33:16,211 - mmseg - INFO - Iter [140650/160000] lr: 7.257e-06, eta: 1:49:08, time: 0.372, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0905, decode.acc_seg: 96.1644, loss: 0.0905 2023-01-06 12:33:32,474 - mmseg - INFO - Iter [140700/160000] lr: 7.238e-06, eta: 1:48:51, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0847, decode.acc_seg: 96.3735, loss: 0.0847 2023-01-06 12:33:49,179 - mmseg - INFO - Iter [140750/160000] lr: 7.219e-06, eta: 1:48:34, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0936, decode.acc_seg: 95.9896, loss: 0.0936 2023-01-06 12:34:05,823 - mmseg - INFO - Iter [140800/160000] lr: 7.200e-06, eta: 1:48:17, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0895, decode.acc_seg: 96.2172, loss: 0.0895 2023-01-06 12:34:22,410 - mmseg - INFO - Iter [140850/160000] lr: 7.182e-06, eta: 1:48:00, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0840, decode.acc_seg: 96.4650, loss: 0.0840 2023-01-06 12:34:38,605 - mmseg - INFO - Iter [140900/160000] lr: 7.163e-06, eta: 1:47:43, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0876, decode.acc_seg: 96.2462, loss: 0.0876 2023-01-06 12:34:55,311 - mmseg - INFO - Iter [140950/160000] lr: 7.144e-06, eta: 1:47:26, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0888, decode.acc_seg: 96.2353, loss: 0.0888 2023-01-06 12:35:13,995 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 12:35:13,996 - mmseg - INFO - Iter [141000/160000] lr: 7.125e-06, eta: 1:47:09, time: 0.374, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0855, decode.acc_seg: 96.4022, loss: 0.0855 2023-01-06 12:35:30,399 - mmseg - INFO - Iter [141050/160000] lr: 7.107e-06, eta: 1:46:52, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0870, decode.acc_seg: 96.3529, loss: 0.0870 2023-01-06 12:35:47,284 - mmseg - INFO - Iter [141100/160000] lr: 7.088e-06, eta: 1:46:35, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0858, decode.acc_seg: 96.4310, loss: 0.0858 2023-01-06 12:36:04,116 - mmseg - INFO - Iter [141150/160000] lr: 7.069e-06, eta: 1:46:18, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0865, decode.acc_seg: 96.3426, loss: 0.0865 2023-01-06 12:36:21,059 - mmseg - INFO - Iter [141200/160000] lr: 7.050e-06, eta: 1:46:02, time: 0.339, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0864, decode.acc_seg: 96.3173, loss: 0.0864 2023-01-06 12:36:37,552 - mmseg - INFO - Iter [141250/160000] lr: 7.032e-06, eta: 1:45:45, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0885, decode.acc_seg: 96.3008, loss: 0.0885 2023-01-06 12:36:53,892 - mmseg - INFO - Iter [141300/160000] lr: 7.013e-06, eta: 1:45:28, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0864, decode.acc_seg: 96.3721, loss: 0.0864 2023-01-06 12:37:10,092 - mmseg - INFO - Iter [141350/160000] lr: 6.994e-06, eta: 1:45:11, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0867, decode.acc_seg: 96.3398, loss: 0.0867 2023-01-06 12:37:29,038 - mmseg - INFO - Iter [141400/160000] lr: 6.975e-06, eta: 1:44:54, time: 0.379, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0973, decode.acc_seg: 95.8850, loss: 0.0973 2023-01-06 12:37:45,577 - mmseg - INFO - Iter [141450/160000] lr: 6.957e-06, eta: 1:44:37, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0865, decode.acc_seg: 96.3271, loss: 0.0865 2023-01-06 12:38:01,956 - mmseg - INFO - Iter [141500/160000] lr: 6.938e-06, eta: 1:44:20, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0869, decode.acc_seg: 96.2884, loss: 0.0869 2023-01-06 12:38:18,814 - mmseg - INFO - Iter [141550/160000] lr: 6.919e-06, eta: 1:44:03, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0883, decode.acc_seg: 96.3564, loss: 0.0883 2023-01-06 12:38:35,125 - mmseg - INFO - Iter [141600/160000] lr: 6.900e-06, eta: 1:43:46, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0909, decode.acc_seg: 96.1658, loss: 0.0909 2023-01-06 12:38:51,707 - mmseg - INFO - Iter [141650/160000] lr: 6.882e-06, eta: 1:43:29, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0912, decode.acc_seg: 96.1862, loss: 0.0912 2023-01-06 12:39:08,190 - mmseg - INFO - Iter [141700/160000] lr: 6.863e-06, eta: 1:43:12, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0878, decode.acc_seg: 96.3580, loss: 0.0878 2023-01-06 12:39:26,887 - mmseg - INFO - Iter [141750/160000] lr: 6.844e-06, eta: 1:42:55, time: 0.374, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0884, decode.acc_seg: 96.2528, loss: 0.0884 2023-01-06 12:39:43,657 - mmseg - INFO - Iter [141800/160000] lr: 6.825e-06, eta: 1:42:38, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0870, decode.acc_seg: 96.3677, loss: 0.0870 2023-01-06 12:40:00,219 - mmseg - INFO - Iter [141850/160000] lr: 6.807e-06, eta: 1:42:21, time: 0.332, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0902, decode.acc_seg: 96.2200, loss: 0.0902 2023-01-06 12:40:16,934 - mmseg - INFO - Iter [141900/160000] lr: 6.788e-06, eta: 1:42:05, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0887, decode.acc_seg: 96.2592, loss: 0.0887 2023-01-06 12:40:33,287 - mmseg - INFO - Iter [141950/160000] lr: 6.769e-06, eta: 1:41:48, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0881, decode.acc_seg: 96.3534, loss: 0.0881 2023-01-06 12:40:49,686 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 12:40:49,686 - mmseg - INFO - Iter [142000/160000] lr: 6.750e-06, eta: 1:41:31, time: 0.328, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0930, decode.acc_seg: 96.1064, loss: 0.0930 2023-01-06 12:41:06,268 - mmseg - INFO - Iter [142050/160000] lr: 6.732e-06, eta: 1:41:14, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0862, decode.acc_seg: 96.3338, loss: 0.0862 2023-01-06 12:41:22,980 - mmseg - INFO - Iter [142100/160000] lr: 6.713e-06, eta: 1:40:57, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0843, decode.acc_seg: 96.5104, loss: 0.0843 2023-01-06 12:41:41,407 - mmseg - INFO - Iter [142150/160000] lr: 6.694e-06, eta: 1:40:40, time: 0.369, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0802, decode.acc_seg: 96.4737, loss: 0.0802 2023-01-06 12:41:57,666 - mmseg - INFO - Iter [142200/160000] lr: 6.675e-06, eta: 1:40:23, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0858, decode.acc_seg: 96.4347, loss: 0.0858 2023-01-06 12:42:13,960 - mmseg - INFO - Iter [142250/160000] lr: 6.657e-06, eta: 1:40:06, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0954, decode.acc_seg: 96.1182, loss: 0.0954 2023-01-06 12:42:30,360 - mmseg - INFO - Iter [142300/160000] lr: 6.638e-06, eta: 1:39:49, time: 0.328, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0862, decode.acc_seg: 96.3614, loss: 0.0862 2023-01-06 12:42:47,259 - mmseg - INFO - Iter [142350/160000] lr: 6.619e-06, eta: 1:39:32, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0912, decode.acc_seg: 96.1508, loss: 0.0912 2023-01-06 12:43:03,437 - mmseg - INFO - Iter [142400/160000] lr: 6.600e-06, eta: 1:39:15, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0907, decode.acc_seg: 96.2628, loss: 0.0907 2023-01-06 12:43:19,439 - mmseg - INFO - Iter [142450/160000] lr: 6.582e-06, eta: 1:38:58, time: 0.320, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0908, decode.acc_seg: 96.2340, loss: 0.0908 2023-01-06 12:43:38,004 - mmseg - INFO - Iter [142500/160000] lr: 6.563e-06, eta: 1:38:41, time: 0.371, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0832, decode.acc_seg: 96.4760, loss: 0.0832 2023-01-06 12:43:54,486 - mmseg - INFO - Iter [142550/160000] lr: 6.544e-06, eta: 1:38:24, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0902, decode.acc_seg: 96.1480, loss: 0.0902 2023-01-06 12:44:11,170 - mmseg - INFO - Iter [142600/160000] lr: 6.525e-06, eta: 1:38:07, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0900, decode.acc_seg: 96.2296, loss: 0.0900 2023-01-06 12:44:27,408 - mmseg - INFO - Iter [142650/160000] lr: 6.507e-06, eta: 1:37:50, time: 0.325, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0884, decode.acc_seg: 96.3154, loss: 0.0884 2023-01-06 12:44:43,608 - mmseg - INFO - Iter [142700/160000] lr: 6.488e-06, eta: 1:37:33, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0892, decode.acc_seg: 96.3027, loss: 0.0892 2023-01-06 12:44:59,803 - mmseg - INFO - Iter [142750/160000] lr: 6.469e-06, eta: 1:37:16, time: 0.324, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0967, decode.acc_seg: 96.0710, loss: 0.0967 2023-01-06 12:45:16,228 - mmseg - INFO - Iter [142800/160000] lr: 6.450e-06, eta: 1:36:59, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0871, decode.acc_seg: 96.3023, loss: 0.0871 2023-01-06 12:45:34,612 - mmseg - INFO - Iter [142850/160000] lr: 6.432e-06, eta: 1:36:43, time: 0.368, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0936, decode.acc_seg: 96.0723, loss: 0.0936 2023-01-06 12:45:50,702 - mmseg - INFO - Iter [142900/160000] lr: 6.413e-06, eta: 1:36:26, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0909, decode.acc_seg: 96.2507, loss: 0.0909 2023-01-06 12:46:07,405 - mmseg - INFO - Iter [142950/160000] lr: 6.394e-06, eta: 1:36:09, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0920, decode.acc_seg: 96.1686, loss: 0.0920 2023-01-06 12:46:23,946 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 12:46:23,947 - mmseg - INFO - Iter [143000/160000] lr: 6.375e-06, eta: 1:35:52, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0900, decode.acc_seg: 96.2502, loss: 0.0900 2023-01-06 12:46:40,601 - mmseg - INFO - Iter [143050/160000] lr: 6.357e-06, eta: 1:35:35, time: 0.333, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0814, decode.acc_seg: 96.5254, loss: 0.0814 2023-01-06 12:46:56,935 - mmseg - INFO - Iter [143100/160000] lr: 6.338e-06, eta: 1:35:18, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0866, decode.acc_seg: 96.3529, loss: 0.0866 2023-01-06 12:47:13,055 - mmseg - INFO - Iter [143150/160000] lr: 6.319e-06, eta: 1:35:01, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0828, decode.acc_seg: 96.4357, loss: 0.0828 2023-01-06 12:47:29,964 - mmseg - INFO - Iter [143200/160000] lr: 6.300e-06, eta: 1:34:44, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0908, decode.acc_seg: 96.2495, loss: 0.0908 2023-01-06 12:47:48,416 - mmseg - INFO - Iter [143250/160000] lr: 6.282e-06, eta: 1:34:27, time: 0.369, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0882, decode.acc_seg: 96.2299, loss: 0.0882 2023-01-06 12:48:04,803 - mmseg - INFO - Iter [143300/160000] lr: 6.263e-06, eta: 1:34:10, time: 0.328, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0871, decode.acc_seg: 96.3683, loss: 0.0871 2023-01-06 12:48:21,710 - mmseg - INFO - Iter [143350/160000] lr: 6.244e-06, eta: 1:33:53, time: 0.338, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0887, decode.acc_seg: 96.2950, loss: 0.0887 2023-01-06 12:48:38,212 - mmseg - INFO - Iter [143400/160000] lr: 6.225e-06, eta: 1:33:36, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0862, decode.acc_seg: 96.3182, loss: 0.0862 2023-01-06 12:48:55,048 - mmseg - INFO - Iter [143450/160000] lr: 6.207e-06, eta: 1:33:19, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0900, decode.acc_seg: 96.2587, loss: 0.0900 2023-01-06 12:49:11,356 - mmseg - INFO - Iter [143500/160000] lr: 6.188e-06, eta: 1:33:02, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0834, decode.acc_seg: 96.4832, loss: 0.0834 2023-01-06 12:49:27,550 - mmseg - INFO - Iter [143550/160000] lr: 6.169e-06, eta: 1:32:45, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0880, decode.acc_seg: 96.3383, loss: 0.0880 2023-01-06 12:49:46,271 - mmseg - INFO - Iter [143600/160000] lr: 6.150e-06, eta: 1:32:29, time: 0.375, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0899, decode.acc_seg: 96.2656, loss: 0.0899 2023-01-06 12:50:02,541 - mmseg - INFO - Iter [143650/160000] lr: 6.132e-06, eta: 1:32:12, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0886, decode.acc_seg: 96.2340, loss: 0.0886 2023-01-06 12:50:18,769 - mmseg - INFO - Iter [143700/160000] lr: 6.113e-06, eta: 1:31:55, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0901, decode.acc_seg: 96.2651, loss: 0.0901 2023-01-06 12:50:35,333 - mmseg - INFO - Iter [143750/160000] lr: 6.094e-06, eta: 1:31:38, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0846, decode.acc_seg: 96.3923, loss: 0.0846 2023-01-06 12:50:51,574 - mmseg - INFO - Iter [143800/160000] lr: 6.075e-06, eta: 1:31:21, time: 0.325, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0874, decode.acc_seg: 96.3027, loss: 0.0874 2023-01-06 12:51:08,176 - mmseg - INFO - Iter [143850/160000] lr: 6.057e-06, eta: 1:31:04, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0873, decode.acc_seg: 96.3304, loss: 0.0873 2023-01-06 12:51:24,447 - mmseg - INFO - Iter [143900/160000] lr: 6.038e-06, eta: 1:30:47, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0890, decode.acc_seg: 96.2148, loss: 0.0890 2023-01-06 12:51:40,998 - mmseg - INFO - Iter [143950/160000] lr: 6.019e-06, eta: 1:30:30, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0866, decode.acc_seg: 96.3670, loss: 0.0866 2023-01-06 12:51:59,718 - mmseg - INFO - Saving checkpoint at 144000 iterations 2023-01-06 12:52:02,656 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 12:52:02,657 - mmseg - INFO - Iter [144000/160000] lr: 6.000e-06, eta: 1:30:13, time: 0.433, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0902, decode.acc_seg: 96.3422, loss: 0.0902 2023-01-06 12:52:27,896 - mmseg - INFO - per class results: 2023-01-06 12:52:27,899 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 97.95 | 99.05 | | sidewalk | 82.63 | 90.42 | | building | 91.49 | 96.51 | | wall | 45.57 | 50.2 | | fence | 52.49 | 66.05 | | pole | 61.04 | 70.4 | | traffic light | 65.11 | 78.16 | | traffic sign | 73.71 | 79.92 | | vegetation | 92.03 | 96.3 | | terrain | 59.68 | 69.68 | | sky | 94.59 | 98.09 | | person | 77.34 | 89.8 | | rider | 51.06 | 60.69 | | car | 93.44 | 97.34 | | truck | 64.03 | 73.9 | | bus | 68.83 | 80.24 | | train | 44.68 | 52.49 | | motorcycle | 45.38 | 52.62 | | bicycle | 72.93 | 85.46 | +---------------+-------+-------+ 2023-01-06 12:52:27,899 - mmseg - INFO - Summary: 2023-01-06 12:52:27,899 - mmseg - INFO - +------+-------+-------+ | aAcc | mIoU | mAcc | +------+-------+-------+ | 95.4 | 70.21 | 78.28 | +------+-------+-------+ 2023-01-06 12:52:27,900 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 12:52:27,900 - mmseg - INFO - Iter(val) [63] aAcc: 0.9540, mIoU: 0.7021, mAcc: 0.7828, IoU.road: 0.9795, IoU.sidewalk: 0.8263, IoU.building: 0.9149, IoU.wall: 0.4557, IoU.fence: 0.5249, IoU.pole: 0.6104, IoU.traffic light: 0.6511, IoU.traffic sign: 0.7371, IoU.vegetation: 0.9203, IoU.terrain: 0.5968, IoU.sky: 0.9459, IoU.person: 0.7734, IoU.rider: 0.5106, IoU.car: 0.9344, IoU.truck: 0.6403, IoU.bus: 0.6883, IoU.train: 0.4468, IoU.motorcycle: 0.4538, IoU.bicycle: 0.7293, Acc.road: 0.9905, Acc.sidewalk: 0.9042, Acc.building: 0.9651, Acc.wall: 0.5020, Acc.fence: 0.6605, Acc.pole: 0.7040, Acc.traffic light: 0.7816, Acc.traffic sign: 0.7992, Acc.vegetation: 0.9630, Acc.terrain: 0.6968, Acc.sky: 0.9809, Acc.person: 0.8980, Acc.rider: 0.6069, Acc.car: 0.9734, Acc.truck: 0.7390, Acc.bus: 0.8024, Acc.train: 0.5249, Acc.motorcycle: 0.5262, Acc.bicycle: 0.8546 2023-01-06 12:52:44,230 - mmseg - INFO - Iter [144050/160000] lr: 5.982e-06, eta: 1:29:59, time: 0.831, data_time: 0.515, memory: 8466, decode.loss_ce: 0.0880, decode.acc_seg: 96.2766, loss: 0.0880 2023-01-06 12:53:00,520 - mmseg - INFO - Iter [144100/160000] lr: 5.963e-06, eta: 1:29:42, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0825, decode.acc_seg: 96.3827, loss: 0.0825 2023-01-06 12:53:16,837 - mmseg - INFO - Iter [144150/160000] lr: 5.944e-06, eta: 1:29:25, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0851, decode.acc_seg: 96.4278, loss: 0.0851 2023-01-06 12:53:33,300 - mmseg - INFO - Iter [144200/160000] lr: 5.925e-06, eta: 1:29:08, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0871, decode.acc_seg: 96.3523, loss: 0.0871 2023-01-06 12:53:49,610 - mmseg - INFO - Iter [144250/160000] lr: 5.907e-06, eta: 1:28:51, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0880, decode.acc_seg: 96.3077, loss: 0.0880 2023-01-06 12:54:06,205 - mmseg - INFO - Iter [144300/160000] lr: 5.888e-06, eta: 1:28:34, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0877, decode.acc_seg: 96.3113, loss: 0.0877 2023-01-06 12:54:24,884 - mmseg - INFO - Iter [144350/160000] lr: 5.869e-06, eta: 1:28:18, time: 0.373, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0890, decode.acc_seg: 96.3218, loss: 0.0890 2023-01-06 12:54:41,153 - mmseg - INFO - Iter [144400/160000] lr: 5.850e-06, eta: 1:28:01, time: 0.326, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0867, decode.acc_seg: 96.3744, loss: 0.0867 2023-01-06 12:54:57,418 - mmseg - INFO - Iter [144450/160000] lr: 5.832e-06, eta: 1:27:44, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0837, decode.acc_seg: 96.4338, loss: 0.0837 2023-01-06 12:55:13,856 - mmseg - INFO - Iter [144500/160000] lr: 5.813e-06, eta: 1:27:27, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0853, decode.acc_seg: 96.3529, loss: 0.0853 2023-01-06 12:55:30,407 - mmseg - INFO - Iter [144550/160000] lr: 5.794e-06, eta: 1:27:10, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0851, decode.acc_seg: 96.3345, loss: 0.0851 2023-01-06 12:55:46,733 - mmseg - INFO - Iter [144600/160000] lr: 5.775e-06, eta: 1:26:53, time: 0.327, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0927, decode.acc_seg: 96.1669, loss: 0.0927 2023-01-06 12:56:03,479 - mmseg - INFO - Iter [144650/160000] lr: 5.757e-06, eta: 1:26:36, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0941, decode.acc_seg: 96.0620, loss: 0.0941 2023-01-06 12:56:20,026 - mmseg - INFO - Iter [144700/160000] lr: 5.738e-06, eta: 1:26:19, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0850, decode.acc_seg: 96.3181, loss: 0.0850 2023-01-06 12:56:38,965 - mmseg - INFO - Iter [144750/160000] lr: 5.719e-06, eta: 1:26:02, time: 0.379, data_time: 0.054, memory: 8466, decode.loss_ce: 0.0836, decode.acc_seg: 96.4177, loss: 0.0836 2023-01-06 12:56:55,549 - mmseg - INFO - Iter [144800/160000] lr: 5.700e-06, eta: 1:25:45, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0947, decode.acc_seg: 96.1099, loss: 0.0947 2023-01-06 12:57:11,806 - mmseg - INFO - Iter [144850/160000] lr: 5.682e-06, eta: 1:25:28, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0911, decode.acc_seg: 96.2016, loss: 0.0911 2023-01-06 12:57:28,360 - mmseg - INFO - Iter [144900/160000] lr: 5.663e-06, eta: 1:25:11, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0902, decode.acc_seg: 96.2214, loss: 0.0902 2023-01-06 12:57:44,460 - mmseg - INFO - Iter [144950/160000] lr: 5.644e-06, eta: 1:24:54, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0909, decode.acc_seg: 96.2645, loss: 0.0909 2023-01-06 12:58:00,857 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 12:58:00,858 - mmseg - INFO - Iter [145000/160000] lr: 5.625e-06, eta: 1:24:37, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0899, decode.acc_seg: 96.2797, loss: 0.0899 2023-01-06 12:58:17,809 - mmseg - INFO - Iter [145050/160000] lr: 5.607e-06, eta: 1:24:20, time: 0.339, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0898, decode.acc_seg: 96.3076, loss: 0.0898 2023-01-06 12:58:36,754 - mmseg - INFO - Iter [145100/160000] lr: 5.588e-06, eta: 1:24:03, time: 0.379, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0827, decode.acc_seg: 96.5473, loss: 0.0827 2023-01-06 12:58:52,843 - mmseg - INFO - Iter [145150/160000] lr: 5.569e-06, eta: 1:23:46, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0836, decode.acc_seg: 96.5193, loss: 0.0836 2023-01-06 12:59:09,748 - mmseg - INFO - Iter [145200/160000] lr: 5.550e-06, eta: 1:23:29, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0910, decode.acc_seg: 96.1908, loss: 0.0910 2023-01-06 12:59:26,585 - mmseg - INFO - Iter [145250/160000] lr: 5.532e-06, eta: 1:23:13, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0911, decode.acc_seg: 96.2522, loss: 0.0911 2023-01-06 12:59:42,882 - mmseg - INFO - Iter [145300/160000] lr: 5.513e-06, eta: 1:22:56, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0857, decode.acc_seg: 96.3701, loss: 0.0857 2023-01-06 12:59:59,436 - mmseg - INFO - Iter [145350/160000] lr: 5.494e-06, eta: 1:22:39, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0879, decode.acc_seg: 96.3996, loss: 0.0879 2023-01-06 13:00:15,951 - mmseg - INFO - Iter [145400/160000] lr: 5.475e-06, eta: 1:22:22, time: 0.331, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0922, decode.acc_seg: 96.0936, loss: 0.0922 2023-01-06 13:00:32,486 - mmseg - INFO - Iter [145450/160000] lr: 5.457e-06, eta: 1:22:05, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0875, decode.acc_seg: 96.3458, loss: 0.0875 2023-01-06 13:00:51,088 - mmseg - INFO - Iter [145500/160000] lr: 5.438e-06, eta: 1:21:48, time: 0.373, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0844, decode.acc_seg: 96.4406, loss: 0.0844 2023-01-06 13:01:07,592 - mmseg - INFO - Iter [145550/160000] lr: 5.419e-06, eta: 1:21:31, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0928, decode.acc_seg: 96.1613, loss: 0.0928 2023-01-06 13:01:23,826 - mmseg - INFO - Iter [145600/160000] lr: 5.400e-06, eta: 1:21:14, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0890, decode.acc_seg: 96.1527, loss: 0.0890 2023-01-06 13:01:40,203 - mmseg - INFO - Iter [145650/160000] lr: 5.382e-06, eta: 1:20:57, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0856, decode.acc_seg: 96.4473, loss: 0.0856 2023-01-06 13:01:56,834 - mmseg - INFO - Iter [145700/160000] lr: 5.363e-06, eta: 1:20:40, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0866, decode.acc_seg: 96.4585, loss: 0.0866 2023-01-06 13:02:13,108 - mmseg - INFO - Iter [145750/160000] lr: 5.344e-06, eta: 1:20:23, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0894, decode.acc_seg: 96.2592, loss: 0.0894 2023-01-06 13:02:29,844 - mmseg - INFO - Iter [145800/160000] lr: 5.325e-06, eta: 1:20:06, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0838, decode.acc_seg: 96.4087, loss: 0.0838 2023-01-06 13:02:48,630 - mmseg - INFO - Iter [145850/160000] lr: 5.307e-06, eta: 1:19:49, time: 0.376, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0875, decode.acc_seg: 96.2923, loss: 0.0875 2023-01-06 13:03:05,146 - mmseg - INFO - Iter [145900/160000] lr: 5.288e-06, eta: 1:19:32, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0884, decode.acc_seg: 96.3497, loss: 0.0884 2023-01-06 13:03:21,534 - mmseg - INFO - Iter [145950/160000] lr: 5.269e-06, eta: 1:19:15, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0961, decode.acc_seg: 96.0764, loss: 0.0961 2023-01-06 13:03:37,942 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 13:03:37,942 - mmseg - INFO - Iter [146000/160000] lr: 5.250e-06, eta: 1:18:58, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0914, decode.acc_seg: 96.1698, loss: 0.0914 2023-01-06 13:03:54,246 - mmseg - INFO - Iter [146050/160000] lr: 5.232e-06, eta: 1:18:41, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0865, decode.acc_seg: 96.3628, loss: 0.0865 2023-01-06 13:04:11,273 - mmseg - INFO - Iter [146100/160000] lr: 5.213e-06, eta: 1:18:25, time: 0.340, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0898, decode.acc_seg: 96.2203, loss: 0.0898 2023-01-06 13:04:27,829 - mmseg - INFO - Iter [146150/160000] lr: 5.194e-06, eta: 1:18:08, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0881, decode.acc_seg: 96.3131, loss: 0.0881 2023-01-06 13:04:46,332 - mmseg - INFO - Iter [146200/160000] lr: 5.175e-06, eta: 1:17:51, time: 0.370, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0877, decode.acc_seg: 96.3739, loss: 0.0877 2023-01-06 13:05:02,938 - mmseg - INFO - Iter [146250/160000] lr: 5.157e-06, eta: 1:17:34, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0866, decode.acc_seg: 96.2949, loss: 0.0866 2023-01-06 13:05:19,510 - mmseg - INFO - Iter [146300/160000] lr: 5.138e-06, eta: 1:17:17, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0870, decode.acc_seg: 96.3202, loss: 0.0870 2023-01-06 13:05:35,932 - mmseg - INFO - Iter [146350/160000] lr: 5.119e-06, eta: 1:17:00, time: 0.329, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0908, decode.acc_seg: 96.1686, loss: 0.0908 2023-01-06 13:05:52,122 - mmseg - INFO - Iter [146400/160000] lr: 5.100e-06, eta: 1:16:43, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0919, decode.acc_seg: 96.1950, loss: 0.0919 2023-01-06 13:06:08,630 - mmseg - INFO - Iter [146450/160000] lr: 5.082e-06, eta: 1:16:26, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0922, decode.acc_seg: 96.2277, loss: 0.0922 2023-01-06 13:06:25,088 - mmseg - INFO - Iter [146500/160000] lr: 5.063e-06, eta: 1:16:09, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0876, decode.acc_seg: 96.2865, loss: 0.0876 2023-01-06 13:06:41,706 - mmseg - INFO - Iter [146550/160000] lr: 5.044e-06, eta: 1:15:52, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0900, decode.acc_seg: 96.1955, loss: 0.0900 2023-01-06 13:07:00,581 - mmseg - INFO - Iter [146600/160000] lr: 5.025e-06, eta: 1:15:35, time: 0.377, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0875, decode.acc_seg: 96.2646, loss: 0.0875 2023-01-06 13:07:17,290 - mmseg - INFO - Iter [146650/160000] lr: 5.007e-06, eta: 1:15:18, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0902, decode.acc_seg: 96.2630, loss: 0.0902 2023-01-06 13:07:33,962 - mmseg - INFO - Iter [146700/160000] lr: 4.988e-06, eta: 1:15:01, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0871, decode.acc_seg: 96.3096, loss: 0.0871 2023-01-06 13:07:50,525 - mmseg - INFO - Iter [146750/160000] lr: 4.969e-06, eta: 1:14:44, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0867, decode.acc_seg: 96.3479, loss: 0.0867 2023-01-06 13:08:06,756 - mmseg - INFO - Iter [146800/160000] lr: 4.950e-06, eta: 1:14:27, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0878, decode.acc_seg: 96.3447, loss: 0.0878 2023-01-06 13:08:22,895 - mmseg - INFO - Iter [146850/160000] lr: 4.932e-06, eta: 1:14:10, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0875, decode.acc_seg: 96.4200, loss: 0.0875 2023-01-06 13:08:39,459 - mmseg - INFO - Iter [146900/160000] lr: 4.913e-06, eta: 1:13:53, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0847, decode.acc_seg: 96.4046, loss: 0.0847 2023-01-06 13:08:58,300 - mmseg - INFO - Iter [146950/160000] lr: 4.894e-06, eta: 1:13:37, time: 0.377, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0848, decode.acc_seg: 96.5066, loss: 0.0848 2023-01-06 13:09:14,576 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 13:09:14,577 - mmseg - INFO - Iter [147000/160000] lr: 4.875e-06, eta: 1:13:20, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0934, decode.acc_seg: 96.1237, loss: 0.0934 2023-01-06 13:09:30,887 - mmseg - INFO - Iter [147050/160000] lr: 4.857e-06, eta: 1:13:03, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0897, decode.acc_seg: 96.1846, loss: 0.0897 2023-01-06 13:09:47,238 - mmseg - INFO - Iter [147100/160000] lr: 4.838e-06, eta: 1:12:46, time: 0.327, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0841, decode.acc_seg: 96.4556, loss: 0.0841 2023-01-06 13:10:03,465 - mmseg - INFO - Iter [147150/160000] lr: 4.819e-06, eta: 1:12:29, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0843, decode.acc_seg: 96.4783, loss: 0.0843 2023-01-06 13:10:20,054 - mmseg - INFO - Iter [147200/160000] lr: 4.800e-06, eta: 1:12:12, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0832, decode.acc_seg: 96.4256, loss: 0.0832 2023-01-06 13:10:36,227 - mmseg - INFO - Iter [147250/160000] lr: 4.782e-06, eta: 1:11:55, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0830, decode.acc_seg: 96.4082, loss: 0.0830 2023-01-06 13:10:52,568 - mmseg - INFO - Iter [147300/160000] lr: 4.763e-06, eta: 1:11:38, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0903, decode.acc_seg: 96.2505, loss: 0.0903 2023-01-06 13:11:11,210 - mmseg - INFO - Iter [147350/160000] lr: 4.744e-06, eta: 1:11:21, time: 0.373, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0906, decode.acc_seg: 96.1875, loss: 0.0906 2023-01-06 13:11:27,923 - mmseg - INFO - Iter [147400/160000] lr: 4.725e-06, eta: 1:11:04, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0854, decode.acc_seg: 96.3533, loss: 0.0854 2023-01-06 13:11:44,150 - mmseg - INFO - Iter [147450/160000] lr: 4.707e-06, eta: 1:10:47, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0834, decode.acc_seg: 96.4463, loss: 0.0834 2023-01-06 13:12:00,603 - mmseg - INFO - Iter [147500/160000] lr: 4.688e-06, eta: 1:10:30, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0861, decode.acc_seg: 96.4197, loss: 0.0861 2023-01-06 13:12:17,085 - mmseg - INFO - Iter [147550/160000] lr: 4.669e-06, eta: 1:10:13, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0885, decode.acc_seg: 96.2736, loss: 0.0885 2023-01-06 13:12:33,348 - mmseg - INFO - Iter [147600/160000] lr: 4.650e-06, eta: 1:09:56, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0881, decode.acc_seg: 96.2826, loss: 0.0881 2023-01-06 13:12:49,759 - mmseg - INFO - Iter [147650/160000] lr: 4.632e-06, eta: 1:09:39, time: 0.329, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0842, decode.acc_seg: 96.5186, loss: 0.0842 2023-01-06 13:13:08,382 - mmseg - INFO - Iter [147700/160000] lr: 4.613e-06, eta: 1:09:23, time: 0.372, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0957, decode.acc_seg: 96.0626, loss: 0.0957 2023-01-06 13:13:24,418 - mmseg - INFO - Iter [147750/160000] lr: 4.594e-06, eta: 1:09:06, time: 0.321, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0866, decode.acc_seg: 96.4013, loss: 0.0866 2023-01-06 13:13:40,778 - mmseg - INFO - Iter [147800/160000] lr: 4.575e-06, eta: 1:08:49, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0888, decode.acc_seg: 96.3281, loss: 0.0888 2023-01-06 13:13:57,056 - mmseg - INFO - Iter [147850/160000] lr: 4.557e-06, eta: 1:08:32, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0944, decode.acc_seg: 96.0456, loss: 0.0944 2023-01-06 13:14:13,176 - mmseg - INFO - Iter [147900/160000] lr: 4.538e-06, eta: 1:08:15, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0837, decode.acc_seg: 96.4215, loss: 0.0837 2023-01-06 13:14:29,316 - mmseg - INFO - Iter [147950/160000] lr: 4.519e-06, eta: 1:07:58, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0901, decode.acc_seg: 96.2341, loss: 0.0901 2023-01-06 13:14:46,004 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 13:14:46,005 - mmseg - INFO - Iter [148000/160000] lr: 4.500e-06, eta: 1:07:41, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0913, decode.acc_seg: 96.2077, loss: 0.0913 2023-01-06 13:15:02,795 - mmseg - INFO - Iter [148050/160000] lr: 4.482e-06, eta: 1:07:24, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0844, decode.acc_seg: 96.3759, loss: 0.0844 2023-01-06 13:15:21,543 - mmseg - INFO - Iter [148100/160000] lr: 4.463e-06, eta: 1:07:07, time: 0.375, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0902, decode.acc_seg: 96.2575, loss: 0.0902 2023-01-06 13:15:37,939 - mmseg - INFO - Iter [148150/160000] lr: 4.444e-06, eta: 1:06:50, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0892, decode.acc_seg: 96.3427, loss: 0.0892 2023-01-06 13:15:54,602 - mmseg - INFO - Iter [148200/160000] lr: 4.425e-06, eta: 1:06:33, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0858, decode.acc_seg: 96.3110, loss: 0.0858 2023-01-06 13:16:10,767 - mmseg - INFO - Iter [148250/160000] lr: 4.407e-06, eta: 1:06:16, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0878, decode.acc_seg: 96.2909, loss: 0.0878 2023-01-06 13:16:26,940 - mmseg - INFO - Iter [148300/160000] lr: 4.388e-06, eta: 1:05:59, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0848, decode.acc_seg: 96.3595, loss: 0.0848 2023-01-06 13:16:43,738 - mmseg - INFO - Iter [148350/160000] lr: 4.369e-06, eta: 1:05:42, time: 0.336, data_time: 0.019, memory: 8466, decode.loss_ce: 0.0966, decode.acc_seg: 96.3651, loss: 0.0966 2023-01-06 13:17:00,190 - mmseg - INFO - Iter [148400/160000] lr: 4.350e-06, eta: 1:05:25, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0860, decode.acc_seg: 96.3595, loss: 0.0860 2023-01-06 13:17:18,771 - mmseg - INFO - Iter [148450/160000] lr: 4.332e-06, eta: 1:05:08, time: 0.372, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0899, decode.acc_seg: 96.2527, loss: 0.0899 2023-01-06 13:17:35,230 - mmseg - INFO - Iter [148500/160000] lr: 4.313e-06, eta: 1:04:51, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0863, decode.acc_seg: 96.3809, loss: 0.0863 2023-01-06 13:17:51,503 - mmseg - INFO - Iter [148550/160000] lr: 4.294e-06, eta: 1:04:35, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0853, decode.acc_seg: 96.4480, loss: 0.0853 2023-01-06 13:18:08,184 - mmseg - INFO - Iter [148600/160000] lr: 4.275e-06, eta: 1:04:18, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0828, decode.acc_seg: 96.4076, loss: 0.0828 2023-01-06 13:18:24,628 - mmseg - INFO - Iter [148650/160000] lr: 4.257e-06, eta: 1:04:01, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0816, decode.acc_seg: 96.1556, loss: 0.0816 2023-01-06 13:18:41,317 - mmseg - INFO - Iter [148700/160000] lr: 4.238e-06, eta: 1:03:44, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0829, decode.acc_seg: 96.5566, loss: 0.0829 2023-01-06 13:18:57,701 - mmseg - INFO - Iter [148750/160000] lr: 4.219e-06, eta: 1:03:27, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0794, decode.acc_seg: 96.5454, loss: 0.0794 2023-01-06 13:19:14,103 - mmseg - INFO - Iter [148800/160000] lr: 4.200e-06, eta: 1:03:10, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0926, decode.acc_seg: 96.1746, loss: 0.0926 2023-01-06 13:19:33,199 - mmseg - INFO - Iter [148850/160000] lr: 4.182e-06, eta: 1:02:53, time: 0.382, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0853, decode.acc_seg: 96.4457, loss: 0.0853 2023-01-06 13:19:49,994 - mmseg - INFO - Iter [148900/160000] lr: 4.163e-06, eta: 1:02:36, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0841, decode.acc_seg: 96.4456, loss: 0.0841 2023-01-06 13:20:06,336 - mmseg - INFO - Iter [148950/160000] lr: 4.144e-06, eta: 1:02:19, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0928, decode.acc_seg: 96.1505, loss: 0.0928 2023-01-06 13:20:22,574 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 13:20:22,575 - mmseg - INFO - Iter [149000/160000] lr: 4.125e-06, eta: 1:02:02, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0891, decode.acc_seg: 96.3429, loss: 0.0891 2023-01-06 13:20:38,998 - mmseg - INFO - Iter [149050/160000] lr: 4.107e-06, eta: 1:01:45, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0850, decode.acc_seg: 96.4410, loss: 0.0850 2023-01-06 13:20:55,382 - mmseg - INFO - Iter [149100/160000] lr: 4.088e-06, eta: 1:01:28, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0881, decode.acc_seg: 96.3757, loss: 0.0881 2023-01-06 13:21:11,715 - mmseg - INFO - Iter [149150/160000] lr: 4.069e-06, eta: 1:01:11, time: 0.327, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0856, decode.acc_seg: 96.3757, loss: 0.0856 2023-01-06 13:21:30,764 - mmseg - INFO - Iter [149200/160000] lr: 4.050e-06, eta: 1:00:54, time: 0.381, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0865, decode.acc_seg: 96.3020, loss: 0.0865 2023-01-06 13:21:47,288 - mmseg - INFO - Iter [149250/160000] lr: 4.032e-06, eta: 1:00:38, time: 0.331, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0850, decode.acc_seg: 96.4245, loss: 0.0850 2023-01-06 13:22:03,649 - mmseg - INFO - Iter [149300/160000] lr: 4.013e-06, eta: 1:00:21, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0817, decode.acc_seg: 96.5112, loss: 0.0817 2023-01-06 13:22:19,859 - mmseg - INFO - Iter [149350/160000] lr: 3.994e-06, eta: 1:00:04, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0897, decode.acc_seg: 96.2574, loss: 0.0897 2023-01-06 13:22:36,465 - mmseg - INFO - Iter [149400/160000] lr: 3.975e-06, eta: 0:59:47, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0860, decode.acc_seg: 96.4575, loss: 0.0860 2023-01-06 13:22:52,533 - mmseg - INFO - Iter [149450/160000] lr: 3.957e-06, eta: 0:59:30, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0900, decode.acc_seg: 96.1510, loss: 0.0900 2023-01-06 13:23:09,128 - mmseg - INFO - Iter [149500/160000] lr: 3.938e-06, eta: 0:59:13, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0847, decode.acc_seg: 96.3945, loss: 0.0847 2023-01-06 13:23:27,569 - mmseg - INFO - Iter [149550/160000] lr: 3.919e-06, eta: 0:58:56, time: 0.369, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0928, decode.acc_seg: 96.0941, loss: 0.0928 2023-01-06 13:23:44,071 - mmseg - INFO - Iter [149600/160000] lr: 3.900e-06, eta: 0:58:39, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0862, decode.acc_seg: 96.4470, loss: 0.0862 2023-01-06 13:24:00,435 - mmseg - INFO - Iter [149650/160000] lr: 3.882e-06, eta: 0:58:22, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0848, decode.acc_seg: 96.4653, loss: 0.0848 2023-01-06 13:24:17,108 - mmseg - INFO - Iter [149700/160000] lr: 3.863e-06, eta: 0:58:05, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0849, decode.acc_seg: 96.4209, loss: 0.0849 2023-01-06 13:24:33,373 - mmseg - INFO - Iter [149750/160000] lr: 3.844e-06, eta: 0:57:48, time: 0.326, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0806, decode.acc_seg: 96.5318, loss: 0.0806 2023-01-06 13:24:49,751 - mmseg - INFO - Iter [149800/160000] lr: 3.825e-06, eta: 0:57:31, time: 0.328, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0864, decode.acc_seg: 96.3732, loss: 0.0864 2023-01-06 13:25:05,798 - mmseg - INFO - Iter [149850/160000] lr: 3.807e-06, eta: 0:57:14, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0843, decode.acc_seg: 96.5142, loss: 0.0843 2023-01-06 13:25:22,052 - mmseg - INFO - Iter [149900/160000] lr: 3.788e-06, eta: 0:56:57, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0871, decode.acc_seg: 96.3636, loss: 0.0871 2023-01-06 13:25:40,984 - mmseg - INFO - Iter [149950/160000] lr: 3.769e-06, eta: 0:56:40, time: 0.379, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0903, decode.acc_seg: 96.2233, loss: 0.0903 2023-01-06 13:25:57,431 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 13:25:57,431 - mmseg - INFO - Iter [150000/160000] lr: 3.750e-06, eta: 0:56:23, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0840, decode.acc_seg: 96.4098, loss: 0.0840 2023-01-06 13:26:13,575 - mmseg - INFO - Iter [150050/160000] lr: 3.732e-06, eta: 0:56:06, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0888, decode.acc_seg: 96.3248, loss: 0.0888 2023-01-06 13:26:29,942 - mmseg - INFO - Iter [150100/160000] lr: 3.713e-06, eta: 0:55:50, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0874, decode.acc_seg: 96.3531, loss: 0.0874 2023-01-06 13:26:46,387 - mmseg - INFO - Iter [150150/160000] lr: 3.694e-06, eta: 0:55:33, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0834, decode.acc_seg: 96.4410, loss: 0.0834 2023-01-06 13:27:02,446 - mmseg - INFO - Iter [150200/160000] lr: 3.675e-06, eta: 0:55:16, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0886, decode.acc_seg: 96.3260, loss: 0.0886 2023-01-06 13:27:18,711 - mmseg - INFO - Iter [150250/160000] lr: 3.657e-06, eta: 0:54:59, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0856, decode.acc_seg: 96.4286, loss: 0.0856 2023-01-06 13:27:37,761 - mmseg - INFO - Iter [150300/160000] lr: 3.638e-06, eta: 0:54:42, time: 0.381, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0874, decode.acc_seg: 96.3737, loss: 0.0874 2023-01-06 13:27:54,033 - mmseg - INFO - Iter [150350/160000] lr: 3.619e-06, eta: 0:54:25, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0890, decode.acc_seg: 96.2378, loss: 0.0890 2023-01-06 13:28:10,297 - mmseg - INFO - Iter [150400/160000] lr: 3.600e-06, eta: 0:54:08, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0834, decode.acc_seg: 96.4948, loss: 0.0834 2023-01-06 13:28:26,666 - mmseg - INFO - Iter [150450/160000] lr: 3.582e-06, eta: 0:53:51, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0873, decode.acc_seg: 96.3146, loss: 0.0873 2023-01-06 13:28:42,941 - mmseg - INFO - Iter [150500/160000] lr: 3.563e-06, eta: 0:53:34, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0841, decode.acc_seg: 96.4624, loss: 0.0841 2023-01-06 13:28:59,499 - mmseg - INFO - Iter [150550/160000] lr: 3.544e-06, eta: 0:53:17, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0881, decode.acc_seg: 96.3235, loss: 0.0881 2023-01-06 13:29:15,767 - mmseg - INFO - Iter [150600/160000] lr: 3.525e-06, eta: 0:53:00, time: 0.326, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0908, decode.acc_seg: 96.2136, loss: 0.0908 2023-01-06 13:29:32,409 - mmseg - INFO - Iter [150650/160000] lr: 3.507e-06, eta: 0:52:43, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0860, decode.acc_seg: 96.3912, loss: 0.0860 2023-01-06 13:29:51,136 - mmseg - INFO - Iter [150700/160000] lr: 3.488e-06, eta: 0:52:26, time: 0.375, data_time: 0.054, memory: 8466, decode.loss_ce: 0.0902, decode.acc_seg: 96.2478, loss: 0.0902 2023-01-06 13:30:07,451 - mmseg - INFO - Iter [150750/160000] lr: 3.469e-06, eta: 0:52:09, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0903, decode.acc_seg: 96.2372, loss: 0.0903 2023-01-06 13:30:23,807 - mmseg - INFO - Iter [150800/160000] lr: 3.450e-06, eta: 0:51:52, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0865, decode.acc_seg: 96.2454, loss: 0.0865 2023-01-06 13:30:40,301 - mmseg - INFO - Iter [150850/160000] lr: 3.432e-06, eta: 0:51:36, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0904, decode.acc_seg: 96.1431, loss: 0.0904 2023-01-06 13:30:56,448 - mmseg - INFO - Iter [150900/160000] lr: 3.413e-06, eta: 0:51:19, time: 0.323, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0855, decode.acc_seg: 96.4032, loss: 0.0855 2023-01-06 13:31:13,466 - mmseg - INFO - Iter [150950/160000] lr: 3.394e-06, eta: 0:51:02, time: 0.340, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0891, decode.acc_seg: 96.1478, loss: 0.0891 2023-01-06 13:31:30,019 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 13:31:30,020 - mmseg - INFO - Iter [151000/160000] lr: 3.375e-06, eta: 0:50:45, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0803, decode.acc_seg: 96.5965, loss: 0.0803 2023-01-06 13:31:49,022 - mmseg - INFO - Iter [151050/160000] lr: 3.357e-06, eta: 0:50:28, time: 0.380, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0883, decode.acc_seg: 96.3221, loss: 0.0883 2023-01-06 13:32:05,416 - mmseg - INFO - Iter [151100/160000] lr: 3.338e-06, eta: 0:50:11, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0862, decode.acc_seg: 96.3712, loss: 0.0862 2023-01-06 13:32:21,692 - mmseg - INFO - Iter [151150/160000] lr: 3.319e-06, eta: 0:49:54, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0847, decode.acc_seg: 96.4361, loss: 0.0847 2023-01-06 13:32:38,283 - mmseg - INFO - Iter [151200/160000] lr: 3.300e-06, eta: 0:49:37, time: 0.332, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0866, decode.acc_seg: 96.3831, loss: 0.0866 2023-01-06 13:32:54,866 - mmseg - INFO - Iter [151250/160000] lr: 3.282e-06, eta: 0:49:20, time: 0.332, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0895, decode.acc_seg: 96.2652, loss: 0.0895 2023-01-06 13:33:11,492 - mmseg - INFO - Iter [151300/160000] lr: 3.263e-06, eta: 0:49:03, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0859, decode.acc_seg: 96.3162, loss: 0.0859 2023-01-06 13:33:27,701 - mmseg - INFO - Iter [151350/160000] lr: 3.244e-06, eta: 0:48:46, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0897, decode.acc_seg: 96.2661, loss: 0.0897 2023-01-06 13:33:44,003 - mmseg - INFO - Iter [151400/160000] lr: 3.225e-06, eta: 0:48:29, time: 0.326, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0858, decode.acc_seg: 96.3990, loss: 0.0858 2023-01-06 13:34:02,784 - mmseg - INFO - Iter [151450/160000] lr: 3.207e-06, eta: 0:48:12, time: 0.376, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0835, decode.acc_seg: 96.4760, loss: 0.0835 2023-01-06 13:34:18,983 - mmseg - INFO - Iter [151500/160000] lr: 3.188e-06, eta: 0:47:56, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0855, decode.acc_seg: 96.3997, loss: 0.0855 2023-01-06 13:34:35,381 - mmseg - INFO - Iter [151550/160000] lr: 3.169e-06, eta: 0:47:39, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0873, decode.acc_seg: 96.2381, loss: 0.0873 2023-01-06 13:34:51,429 - mmseg - INFO - Iter [151600/160000] lr: 3.150e-06, eta: 0:47:22, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0841, decode.acc_seg: 96.4029, loss: 0.0841 2023-01-06 13:35:08,192 - mmseg - INFO - Iter [151650/160000] lr: 3.132e-06, eta: 0:47:05, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0885, decode.acc_seg: 96.2610, loss: 0.0885 2023-01-06 13:35:24,781 - mmseg - INFO - Iter [151700/160000] lr: 3.113e-06, eta: 0:46:48, time: 0.332, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0909, decode.acc_seg: 96.2036, loss: 0.0909 2023-01-06 13:35:41,963 - mmseg - INFO - Iter [151750/160000] lr: 3.094e-06, eta: 0:46:31, time: 0.344, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0900, decode.acc_seg: 96.2701, loss: 0.0900 2023-01-06 13:36:01,080 - mmseg - INFO - Iter [151800/160000] lr: 3.075e-06, eta: 0:46:14, time: 0.383, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0835, decode.acc_seg: 96.3629, loss: 0.0835 2023-01-06 13:36:17,513 - mmseg - INFO - Iter [151850/160000] lr: 3.057e-06, eta: 0:45:57, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0835, decode.acc_seg: 96.5012, loss: 0.0835 2023-01-06 13:36:33,699 - mmseg - INFO - Iter [151900/160000] lr: 3.038e-06, eta: 0:45:40, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0883, decode.acc_seg: 96.2718, loss: 0.0883 2023-01-06 13:36:50,219 - mmseg - INFO - Iter [151950/160000] lr: 3.019e-06, eta: 0:45:23, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0852, decode.acc_seg: 96.4175, loss: 0.0852 2023-01-06 13:37:06,571 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 13:37:06,571 - mmseg - INFO - Iter [152000/160000] lr: 3.000e-06, eta: 0:45:06, time: 0.327, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0861, decode.acc_seg: 96.3101, loss: 0.0861 2023-01-06 13:37:22,985 - mmseg - INFO - Iter [152050/160000] lr: 2.982e-06, eta: 0:44:49, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0855, decode.acc_seg: 96.3260, loss: 0.0855 2023-01-06 13:37:39,854 - mmseg - INFO - Iter [152100/160000] lr: 2.963e-06, eta: 0:44:32, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0850, decode.acc_seg: 96.3946, loss: 0.0850 2023-01-06 13:37:58,463 - mmseg - INFO - Iter [152150/160000] lr: 2.944e-06, eta: 0:44:16, time: 0.372, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0858, decode.acc_seg: 96.3463, loss: 0.0858 2023-01-06 13:38:14,577 - mmseg - INFO - Iter [152200/160000] lr: 2.925e-06, eta: 0:43:59, time: 0.322, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0841, decode.acc_seg: 96.4381, loss: 0.0841 2023-01-06 13:38:30,922 - mmseg - INFO - Iter [152250/160000] lr: 2.907e-06, eta: 0:43:42, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0866, decode.acc_seg: 96.3077, loss: 0.0866 2023-01-06 13:38:47,140 - mmseg - INFO - Iter [152300/160000] lr: 2.888e-06, eta: 0:43:25, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0896, decode.acc_seg: 96.2298, loss: 0.0896 2023-01-06 13:39:03,415 - mmseg - INFO - Iter [152350/160000] lr: 2.869e-06, eta: 0:43:08, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0920, decode.acc_seg: 96.2191, loss: 0.0920 2023-01-06 13:39:19,766 - mmseg - INFO - Iter [152400/160000] lr: 2.850e-06, eta: 0:42:51, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0890, decode.acc_seg: 96.3657, loss: 0.0890 2023-01-06 13:39:36,384 - mmseg - INFO - Iter [152450/160000] lr: 2.832e-06, eta: 0:42:34, time: 0.332, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0846, decode.acc_seg: 96.4455, loss: 0.0846 2023-01-06 13:39:52,909 - mmseg - INFO - Iter [152500/160000] lr: 2.813e-06, eta: 0:42:17, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0848, decode.acc_seg: 96.3689, loss: 0.0848 2023-01-06 13:40:11,652 - mmseg - INFO - Iter [152550/160000] lr: 2.794e-06, eta: 0:42:00, time: 0.375, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0822, decode.acc_seg: 96.4385, loss: 0.0822 2023-01-06 13:40:28,352 - mmseg - INFO - Iter [152600/160000] lr: 2.775e-06, eta: 0:41:43, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0870, decode.acc_seg: 96.4195, loss: 0.0870 2023-01-06 13:40:44,858 - mmseg - INFO - Iter [152650/160000] lr: 2.757e-06, eta: 0:41:26, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0889, decode.acc_seg: 96.3435, loss: 0.0889 2023-01-06 13:41:01,332 - mmseg - INFO - Iter [152700/160000] lr: 2.738e-06, eta: 0:41:09, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0866, decode.acc_seg: 96.3979, loss: 0.0866 2023-01-06 13:41:17,785 - mmseg - INFO - Iter [152750/160000] lr: 2.719e-06, eta: 0:40:52, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0873, decode.acc_seg: 96.2900, loss: 0.0873 2023-01-06 13:41:34,226 - mmseg - INFO - Iter [152800/160000] lr: 2.700e-06, eta: 0:40:35, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0818, decode.acc_seg: 96.5774, loss: 0.0818 2023-01-06 13:41:50,642 - mmseg - INFO - Iter [152850/160000] lr: 2.682e-06, eta: 0:40:19, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0831, decode.acc_seg: 96.4541, loss: 0.0831 2023-01-06 13:42:09,561 - mmseg - INFO - Iter [152900/160000] lr: 2.663e-06, eta: 0:40:02, time: 0.379, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0828, decode.acc_seg: 96.3572, loss: 0.0828 2023-01-06 13:42:25,978 - mmseg - INFO - Iter [152950/160000] lr: 2.644e-06, eta: 0:39:45, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0868, decode.acc_seg: 96.3884, loss: 0.0868 2023-01-06 13:42:42,304 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 13:42:42,305 - mmseg - INFO - Iter [153000/160000] lr: 2.625e-06, eta: 0:39:28, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0846, decode.acc_seg: 96.4343, loss: 0.0846 2023-01-06 13:42:58,351 - mmseg - INFO - Iter [153050/160000] lr: 2.607e-06, eta: 0:39:11, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0834, decode.acc_seg: 96.4531, loss: 0.0834 2023-01-06 13:43:14,981 - mmseg - INFO - Iter [153100/160000] lr: 2.588e-06, eta: 0:38:54, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0872, decode.acc_seg: 96.3278, loss: 0.0872 2023-01-06 13:43:31,629 - mmseg - INFO - Iter [153150/160000] lr: 2.569e-06, eta: 0:38:37, time: 0.333, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0854, decode.acc_seg: 96.4550, loss: 0.0854 2023-01-06 13:43:48,417 - mmseg - INFO - Iter [153200/160000] lr: 2.550e-06, eta: 0:38:20, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0849, decode.acc_seg: 96.4098, loss: 0.0849 2023-01-06 13:44:04,588 - mmseg - INFO - Iter [153250/160000] lr: 2.532e-06, eta: 0:38:03, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0835, decode.acc_seg: 96.5115, loss: 0.0835 2023-01-06 13:44:23,199 - mmseg - INFO - Iter [153300/160000] lr: 2.513e-06, eta: 0:37:46, time: 0.372, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0852, decode.acc_seg: 96.5169, loss: 0.0852 2023-01-06 13:44:39,495 - mmseg - INFO - Iter [153350/160000] lr: 2.494e-06, eta: 0:37:29, time: 0.326, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0822, decode.acc_seg: 96.4991, loss: 0.0822 2023-01-06 13:44:56,120 - mmseg - INFO - Iter [153400/160000] lr: 2.475e-06, eta: 0:37:12, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0829, decode.acc_seg: 96.4651, loss: 0.0829 2023-01-06 13:45:12,617 - mmseg - INFO - Iter [153450/160000] lr: 2.457e-06, eta: 0:36:55, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0878, decode.acc_seg: 96.2926, loss: 0.0878 2023-01-06 13:45:29,406 - mmseg - INFO - Iter [153500/160000] lr: 2.438e-06, eta: 0:36:39, time: 0.336, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0899, decode.acc_seg: 96.2759, loss: 0.0899 2023-01-06 13:45:45,839 - mmseg - INFO - Iter [153550/160000] lr: 2.419e-06, eta: 0:36:22, time: 0.329, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0836, decode.acc_seg: 96.3972, loss: 0.0836 2023-01-06 13:46:02,383 - mmseg - INFO - Iter [153600/160000] lr: 2.400e-06, eta: 0:36:05, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0806, decode.acc_seg: 96.4573, loss: 0.0806 2023-01-06 13:46:21,217 - mmseg - INFO - Iter [153650/160000] lr: 2.382e-06, eta: 0:35:48, time: 0.377, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0872, decode.acc_seg: 96.4212, loss: 0.0872 2023-01-06 13:46:37,708 - mmseg - INFO - Iter [153700/160000] lr: 2.363e-06, eta: 0:35:31, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0852, decode.acc_seg: 96.4352, loss: 0.0852 2023-01-06 13:46:54,387 - mmseg - INFO - Iter [153750/160000] lr: 2.344e-06, eta: 0:35:14, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0864, decode.acc_seg: 96.3958, loss: 0.0864 2023-01-06 13:47:10,464 - mmseg - INFO - Iter [153800/160000] lr: 2.325e-06, eta: 0:34:57, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0822, decode.acc_seg: 96.4919, loss: 0.0822 2023-01-06 13:47:27,006 - mmseg - INFO - Iter [153850/160000] lr: 2.307e-06, eta: 0:34:40, time: 0.331, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0867, decode.acc_seg: 96.3440, loss: 0.0867 2023-01-06 13:47:43,754 - mmseg - INFO - Iter [153900/160000] lr: 2.288e-06, eta: 0:34:23, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0854, decode.acc_seg: 96.3911, loss: 0.0854 2023-01-06 13:48:00,434 - mmseg - INFO - Iter [153950/160000] lr: 2.269e-06, eta: 0:34:06, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0869, decode.acc_seg: 96.3415, loss: 0.0869 2023-01-06 13:48:17,103 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 13:48:17,104 - mmseg - INFO - Iter [154000/160000] lr: 2.250e-06, eta: 0:33:49, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0909, decode.acc_seg: 96.2279, loss: 0.0909 2023-01-06 13:48:36,042 - mmseg - INFO - Iter [154050/160000] lr: 2.232e-06, eta: 0:33:32, time: 0.378, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0838, decode.acc_seg: 96.4222, loss: 0.0838 2023-01-06 13:48:52,697 - mmseg - INFO - Iter [154100/160000] lr: 2.213e-06, eta: 0:33:16, time: 0.333, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0862, decode.acc_seg: 96.4009, loss: 0.0862 2023-01-06 13:49:09,157 - mmseg - INFO - Iter [154150/160000] lr: 2.194e-06, eta: 0:32:59, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0812, decode.acc_seg: 96.5598, loss: 0.0812 2023-01-06 13:49:25,651 - mmseg - INFO - Iter [154200/160000] lr: 2.175e-06, eta: 0:32:42, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0876, decode.acc_seg: 96.1961, loss: 0.0876 2023-01-06 13:49:41,947 - mmseg - INFO - Iter [154250/160000] lr: 2.157e-06, eta: 0:32:25, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0875, decode.acc_seg: 96.3277, loss: 0.0875 2023-01-06 13:49:58,799 - mmseg - INFO - Iter [154300/160000] lr: 2.138e-06, eta: 0:32:08, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0845, decode.acc_seg: 96.4795, loss: 0.0845 2023-01-06 13:50:15,492 - mmseg - INFO - Iter [154350/160000] lr: 2.119e-06, eta: 0:31:51, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0838, decode.acc_seg: 96.4104, loss: 0.0838 2023-01-06 13:50:34,019 - mmseg - INFO - Iter [154400/160000] lr: 2.100e-06, eta: 0:31:34, time: 0.371, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0847, decode.acc_seg: 96.3457, loss: 0.0847 2023-01-06 13:50:50,594 - mmseg - INFO - Iter [154450/160000] lr: 2.082e-06, eta: 0:31:17, time: 0.332, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0872, decode.acc_seg: 96.4179, loss: 0.0872 2023-01-06 13:51:06,793 - mmseg - INFO - Iter [154500/160000] lr: 2.063e-06, eta: 0:31:00, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0904, decode.acc_seg: 96.2004, loss: 0.0904 2023-01-06 13:51:24,146 - mmseg - INFO - Iter [154550/160000] lr: 2.044e-06, eta: 0:30:43, time: 0.347, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0845, decode.acc_seg: 96.4932, loss: 0.0845 2023-01-06 13:51:40,894 - mmseg - INFO - Iter [154600/160000] lr: 2.025e-06, eta: 0:30:26, time: 0.335, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0856, decode.acc_seg: 96.3355, loss: 0.0856 2023-01-06 13:51:57,252 - mmseg - INFO - Iter [154650/160000] lr: 2.007e-06, eta: 0:30:09, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0839, decode.acc_seg: 96.4393, loss: 0.0839 2023-01-06 13:52:13,779 - mmseg - INFO - Iter [154700/160000] lr: 1.988e-06, eta: 0:29:53, time: 0.331, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0896, decode.acc_seg: 96.2679, loss: 0.0896 2023-01-06 13:52:30,267 - mmseg - INFO - Iter [154750/160000] lr: 1.969e-06, eta: 0:29:36, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0903, decode.acc_seg: 96.1853, loss: 0.0903 2023-01-06 13:52:48,870 - mmseg - INFO - Iter [154800/160000] lr: 1.950e-06, eta: 0:29:19, time: 0.372, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0876, decode.acc_seg: 96.3202, loss: 0.0876 2023-01-06 13:53:05,388 - mmseg - INFO - Iter [154850/160000] lr: 1.932e-06, eta: 0:29:02, time: 0.330, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0888, decode.acc_seg: 96.2391, loss: 0.0888 2023-01-06 13:53:21,651 - mmseg - INFO - Iter [154900/160000] lr: 1.913e-06, eta: 0:28:45, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0812, decode.acc_seg: 96.5352, loss: 0.0812 2023-01-06 13:53:37,886 - mmseg - INFO - Iter [154950/160000] lr: 1.894e-06, eta: 0:28:28, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0848, decode.acc_seg: 96.4233, loss: 0.0848 2023-01-06 13:53:54,557 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 13:53:54,558 - mmseg - INFO - Iter [155000/160000] lr: 1.875e-06, eta: 0:28:11, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0871, decode.acc_seg: 96.2311, loss: 0.0871 2023-01-06 13:54:11,284 - mmseg - INFO - Iter [155050/160000] lr: 1.857e-06, eta: 0:27:54, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0824, decode.acc_seg: 96.4975, loss: 0.0824 2023-01-06 13:54:27,904 - mmseg - INFO - Iter [155100/160000] lr: 1.838e-06, eta: 0:27:37, time: 0.333, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0856, decode.acc_seg: 96.4383, loss: 0.0856 2023-01-06 13:54:46,696 - mmseg - INFO - Iter [155150/160000] lr: 1.819e-06, eta: 0:27:20, time: 0.376, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0849, decode.acc_seg: 96.4171, loss: 0.0849 2023-01-06 13:55:03,071 - mmseg - INFO - Iter [155200/160000] lr: 1.800e-06, eta: 0:27:03, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0796, decode.acc_seg: 96.5984, loss: 0.0796 2023-01-06 13:55:19,615 - mmseg - INFO - Iter [155250/160000] lr: 1.782e-06, eta: 0:26:46, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0825, decode.acc_seg: 96.5499, loss: 0.0825 2023-01-06 13:55:36,317 - mmseg - INFO - Iter [155300/160000] lr: 1.763e-06, eta: 0:26:30, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0833, decode.acc_seg: 96.4576, loss: 0.0833 2023-01-06 13:55:53,071 - mmseg - INFO - Iter [155350/160000] lr: 1.744e-06, eta: 0:26:13, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0880, decode.acc_seg: 96.2904, loss: 0.0880 2023-01-06 13:56:09,137 - mmseg - INFO - Iter [155400/160000] lr: 1.725e-06, eta: 0:25:56, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0847, decode.acc_seg: 96.4170, loss: 0.0847 2023-01-06 13:56:25,761 - mmseg - INFO - Iter [155450/160000] lr: 1.707e-06, eta: 0:25:39, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0894, decode.acc_seg: 96.2250, loss: 0.0894 2023-01-06 13:56:44,206 - mmseg - INFO - Iter [155500/160000] lr: 1.688e-06, eta: 0:25:22, time: 0.369, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0825, decode.acc_seg: 96.4696, loss: 0.0825 2023-01-06 13:57:00,726 - mmseg - INFO - Iter [155550/160000] lr: 1.669e-06, eta: 0:25:05, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0810, decode.acc_seg: 96.5236, loss: 0.0810 2023-01-06 13:57:17,430 - mmseg - INFO - Iter [155600/160000] lr: 1.650e-06, eta: 0:24:48, time: 0.334, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0865, decode.acc_seg: 96.4033, loss: 0.0865 2023-01-06 13:57:33,799 - mmseg - INFO - Iter [155650/160000] lr: 1.632e-06, eta: 0:24:31, time: 0.327, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0886, decode.acc_seg: 96.2638, loss: 0.0886 2023-01-06 13:57:50,529 - mmseg - INFO - Iter [155700/160000] lr: 1.613e-06, eta: 0:24:14, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0808, decode.acc_seg: 96.5930, loss: 0.0808 2023-01-06 13:58:06,804 - mmseg - INFO - Iter [155750/160000] lr: 1.594e-06, eta: 0:23:57, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0877, decode.acc_seg: 96.3435, loss: 0.0877 2023-01-06 13:58:23,341 - mmseg - INFO - Iter [155800/160000] lr: 1.575e-06, eta: 0:23:40, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0829, decode.acc_seg: 96.5362, loss: 0.0829 2023-01-06 13:58:39,857 - mmseg - INFO - Iter [155850/160000] lr: 1.557e-06, eta: 0:23:23, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0861, decode.acc_seg: 96.2975, loss: 0.0861 2023-01-06 13:58:58,885 - mmseg - INFO - Iter [155900/160000] lr: 1.538e-06, eta: 0:23:07, time: 0.381, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0825, decode.acc_seg: 96.4121, loss: 0.0825 2023-01-06 13:59:15,519 - mmseg - INFO - Iter [155950/160000] lr: 1.519e-06, eta: 0:22:50, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0845, decode.acc_seg: 96.4797, loss: 0.0845 2023-01-06 13:59:31,904 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 13:59:31,905 - mmseg - INFO - Iter [156000/160000] lr: 1.500e-06, eta: 0:22:33, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0861, decode.acc_seg: 96.3454, loss: 0.0861 2023-01-06 13:59:48,369 - mmseg - INFO - Iter [156050/160000] lr: 1.482e-06, eta: 0:22:16, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0840, decode.acc_seg: 96.4487, loss: 0.0840 2023-01-06 14:00:04,804 - mmseg - INFO - Iter [156100/160000] lr: 1.463e-06, eta: 0:21:59, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0826, decode.acc_seg: 96.4601, loss: 0.0826 2023-01-06 14:00:20,975 - mmseg - INFO - Iter [156150/160000] lr: 1.444e-06, eta: 0:21:42, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0821, decode.acc_seg: 96.4909, loss: 0.0821 2023-01-06 14:00:37,410 - mmseg - INFO - Iter [156200/160000] lr: 1.425e-06, eta: 0:21:25, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0848, decode.acc_seg: 96.4871, loss: 0.0848 2023-01-06 14:00:56,168 - mmseg - INFO - Iter [156250/160000] lr: 1.407e-06, eta: 0:21:08, time: 0.375, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0857, decode.acc_seg: 96.4154, loss: 0.0857 2023-01-06 14:01:13,127 - mmseg - INFO - Iter [156300/160000] lr: 1.388e-06, eta: 0:20:51, time: 0.339, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0823, decode.acc_seg: 96.5129, loss: 0.0823 2023-01-06 14:01:29,678 - mmseg - INFO - Iter [156350/160000] lr: 1.369e-06, eta: 0:20:34, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0859, decode.acc_seg: 96.4401, loss: 0.0859 2023-01-06 14:01:46,058 - mmseg - INFO - Iter [156400/160000] lr: 1.350e-06, eta: 0:20:17, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0844, decode.acc_seg: 96.4586, loss: 0.0844 2023-01-06 14:02:02,580 - mmseg - INFO - Iter [156450/160000] lr: 1.332e-06, eta: 0:20:00, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0857, decode.acc_seg: 96.4340, loss: 0.0857 2023-01-06 14:02:18,890 - mmseg - INFO - Iter [156500/160000] lr: 1.313e-06, eta: 0:19:43, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0897, decode.acc_seg: 96.2227, loss: 0.0897 2023-01-06 14:02:35,352 - mmseg - INFO - Iter [156550/160000] lr: 1.294e-06, eta: 0:19:27, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0847, decode.acc_seg: 96.4200, loss: 0.0847 2023-01-06 14:02:51,986 - mmseg - INFO - Iter [156600/160000] lr: 1.275e-06, eta: 0:19:10, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0847, decode.acc_seg: 96.4133, loss: 0.0847 2023-01-06 14:03:10,685 - mmseg - INFO - Iter [156650/160000] lr: 1.257e-06, eta: 0:18:53, time: 0.374, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0871, decode.acc_seg: 96.3730, loss: 0.0871 2023-01-06 14:03:26,962 - mmseg - INFO - Iter [156700/160000] lr: 1.238e-06, eta: 0:18:36, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0869, decode.acc_seg: 96.3400, loss: 0.0869 2023-01-06 14:03:43,636 - mmseg - INFO - Iter [156750/160000] lr: 1.219e-06, eta: 0:18:19, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0937, decode.acc_seg: 96.1259, loss: 0.0937 2023-01-06 14:04:00,296 - mmseg - INFO - Iter [156800/160000] lr: 1.200e-06, eta: 0:18:02, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0859, decode.acc_seg: 96.3375, loss: 0.0859 2023-01-06 14:04:16,814 - mmseg - INFO - Iter [156850/160000] lr: 1.182e-06, eta: 0:17:45, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0862, decode.acc_seg: 96.3873, loss: 0.0862 2023-01-06 14:04:33,275 - mmseg - INFO - Iter [156900/160000] lr: 1.163e-06, eta: 0:17:28, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0838, decode.acc_seg: 96.5349, loss: 0.0838 2023-01-06 14:04:49,977 - mmseg - INFO - Iter [156950/160000] lr: 1.144e-06, eta: 0:17:11, time: 0.334, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0866, decode.acc_seg: 96.3371, loss: 0.0866 2023-01-06 14:05:08,639 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 14:05:08,640 - mmseg - INFO - Iter [157000/160000] lr: 1.125e-06, eta: 0:16:54, time: 0.373, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0839, decode.acc_seg: 96.5322, loss: 0.0839 2023-01-06 14:05:24,972 - mmseg - INFO - Iter [157050/160000] lr: 1.107e-06, eta: 0:16:37, time: 0.327, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0895, decode.acc_seg: 96.2425, loss: 0.0895 2023-01-06 14:05:41,440 - mmseg - INFO - Iter [157100/160000] lr: 1.088e-06, eta: 0:16:21, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0898, decode.acc_seg: 96.2015, loss: 0.0898 2023-01-06 14:05:58,017 - mmseg - INFO - Iter [157150/160000] lr: 1.069e-06, eta: 0:16:04, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0822, decode.acc_seg: 96.4658, loss: 0.0822 2023-01-06 14:06:14,248 - mmseg - INFO - Iter [157200/160000] lr: 1.050e-06, eta: 0:15:47, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0849, decode.acc_seg: 96.4872, loss: 0.0849 2023-01-06 14:06:30,426 - mmseg - INFO - Iter [157250/160000] lr: 1.032e-06, eta: 0:15:30, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0831, decode.acc_seg: 96.5124, loss: 0.0831 2023-01-06 14:06:47,363 - mmseg - INFO - Iter [157300/160000] lr: 1.013e-06, eta: 0:15:13, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0899, decode.acc_seg: 96.3685, loss: 0.0899 2023-01-06 14:07:04,093 - mmseg - INFO - Iter [157350/160000] lr: 9.941e-07, eta: 0:14:56, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0877, decode.acc_seg: 96.3708, loss: 0.0877 2023-01-06 14:07:23,654 - mmseg - INFO - Iter [157400/160000] lr: 9.754e-07, eta: 0:14:39, time: 0.391, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0835, decode.acc_seg: 96.5194, loss: 0.0835 2023-01-06 14:07:40,149 - mmseg - INFO - Iter [157450/160000] lr: 9.566e-07, eta: 0:14:22, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0851, decode.acc_seg: 96.4201, loss: 0.0851 2023-01-06 14:07:56,728 - mmseg - INFO - Iter [157500/160000] lr: 9.379e-07, eta: 0:14:05, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0856, decode.acc_seg: 96.4373, loss: 0.0856 2023-01-06 14:08:13,098 - mmseg - INFO - Iter [157550/160000] lr: 9.191e-07, eta: 0:13:48, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0889, decode.acc_seg: 96.2286, loss: 0.0889 2023-01-06 14:08:29,861 - mmseg - INFO - Iter [157600/160000] lr: 9.004e-07, eta: 0:13:31, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0811, decode.acc_seg: 96.5287, loss: 0.0811 2023-01-06 14:08:46,055 - mmseg - INFO - Iter [157650/160000] lr: 8.816e-07, eta: 0:13:14, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0872, decode.acc_seg: 96.4430, loss: 0.0872 2023-01-06 14:09:02,271 - mmseg - INFO - Iter [157700/160000] lr: 8.629e-07, eta: 0:12:58, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0900, decode.acc_seg: 96.2617, loss: 0.0900 2023-01-06 14:09:20,855 - mmseg - INFO - Iter [157750/160000] lr: 8.441e-07, eta: 0:12:41, time: 0.372, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0886, decode.acc_seg: 96.3182, loss: 0.0886 2023-01-06 14:09:37,542 - mmseg - INFO - Iter [157800/160000] lr: 8.254e-07, eta: 0:12:24, time: 0.333, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0833, decode.acc_seg: 96.5043, loss: 0.0833 2023-01-06 14:09:53,916 - mmseg - INFO - Iter [157850/160000] lr: 8.066e-07, eta: 0:12:07, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0863, decode.acc_seg: 96.3533, loss: 0.0863 2023-01-06 14:10:10,122 - mmseg - INFO - Iter [157900/160000] lr: 7.879e-07, eta: 0:11:50, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0874, decode.acc_seg: 96.3918, loss: 0.0874 2023-01-06 14:10:26,369 - mmseg - INFO - Iter [157950/160000] lr: 7.691e-07, eta: 0:11:33, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0860, decode.acc_seg: 96.4749, loss: 0.0860 2023-01-06 14:10:43,304 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 14:10:43,304 - mmseg - INFO - Iter [158000/160000] lr: 7.504e-07, eta: 0:11:16, time: 0.338, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0831, decode.acc_seg: 96.4112, loss: 0.0831 2023-01-06 14:10:59,524 - mmseg - INFO - Iter [158050/160000] lr: 7.316e-07, eta: 0:10:59, time: 0.325, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0853, decode.acc_seg: 96.3982, loss: 0.0853 2023-01-06 14:11:15,986 - mmseg - INFO - Iter [158100/160000] lr: 7.129e-07, eta: 0:10:42, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0847, decode.acc_seg: 96.3913, loss: 0.0847 2023-01-06 14:11:34,682 - mmseg - INFO - Iter [158150/160000] lr: 6.941e-07, eta: 0:10:25, time: 0.374, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0841, decode.acc_seg: 96.4667, loss: 0.0841 2023-01-06 14:11:50,998 - mmseg - INFO - Iter [158200/160000] lr: 6.754e-07, eta: 0:10:08, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0924, decode.acc_seg: 96.1866, loss: 0.0924 2023-01-06 14:12:07,235 - mmseg - INFO - Iter [158250/160000] lr: 6.566e-07, eta: 0:09:51, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0821, decode.acc_seg: 96.4625, loss: 0.0821 2023-01-06 14:12:23,642 - mmseg - INFO - Iter [158300/160000] lr: 6.379e-07, eta: 0:09:35, time: 0.328, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0914, decode.acc_seg: 96.1521, loss: 0.0914 2023-01-06 14:12:39,854 - mmseg - INFO - Iter [158350/160000] lr: 6.191e-07, eta: 0:09:18, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0849, decode.acc_seg: 96.4689, loss: 0.0849 2023-01-06 14:12:56,283 - mmseg - INFO - Iter [158400/160000] lr: 6.004e-07, eta: 0:09:01, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0831, decode.acc_seg: 96.4769, loss: 0.0831 2023-01-06 14:13:12,324 - mmseg - INFO - Iter [158450/160000] lr: 5.816e-07, eta: 0:08:44, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0861, decode.acc_seg: 96.3953, loss: 0.0861 2023-01-06 14:13:31,014 - mmseg - INFO - Iter [158500/160000] lr: 5.629e-07, eta: 0:08:27, time: 0.374, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0861, decode.acc_seg: 96.3297, loss: 0.0861 2023-01-06 14:13:47,811 - mmseg - INFO - Iter [158550/160000] lr: 5.441e-07, eta: 0:08:10, time: 0.336, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0843, decode.acc_seg: 96.3311, loss: 0.0843 2023-01-06 14:14:04,049 - mmseg - INFO - Iter [158600/160000] lr: 5.254e-07, eta: 0:07:53, time: 0.325, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0870, decode.acc_seg: 96.3276, loss: 0.0870 2023-01-06 14:14:20,372 - mmseg - INFO - Iter [158650/160000] lr: 5.066e-07, eta: 0:07:36, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0765, decode.acc_seg: 96.6377, loss: 0.0765 2023-01-06 14:14:37,232 - mmseg - INFO - Iter [158700/160000] lr: 4.879e-07, eta: 0:07:19, time: 0.337, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0848, decode.acc_seg: 96.3815, loss: 0.0848 2023-01-06 14:14:53,571 - mmseg - INFO - Iter [158750/160000] lr: 4.691e-07, eta: 0:07:02, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0858, decode.acc_seg: 96.4143, loss: 0.0858 2023-01-06 14:15:10,027 - mmseg - INFO - Iter [158800/160000] lr: 4.504e-07, eta: 0:06:45, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0864, decode.acc_seg: 96.4309, loss: 0.0864 2023-01-06 14:15:29,052 - mmseg - INFO - Iter [158850/160000] lr: 4.316e-07, eta: 0:06:28, time: 0.380, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0827, decode.acc_seg: 96.4361, loss: 0.0827 2023-01-06 14:15:45,566 - mmseg - INFO - Iter [158900/160000] lr: 4.129e-07, eta: 0:06:12, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0868, decode.acc_seg: 96.3726, loss: 0.0868 2023-01-06 14:16:01,929 - mmseg - INFO - Iter [158950/160000] lr: 3.941e-07, eta: 0:05:55, time: 0.327, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0828, decode.acc_seg: 96.5145, loss: 0.0828 2023-01-06 14:16:18,170 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 14:16:18,171 - mmseg - INFO - Iter [159000/160000] lr: 3.754e-07, eta: 0:05:38, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0846, decode.acc_seg: 96.4979, loss: 0.0846 2023-01-06 14:16:35,001 - mmseg - INFO - Iter [159050/160000] lr: 3.566e-07, eta: 0:05:21, time: 0.337, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0821, decode.acc_seg: 96.5483, loss: 0.0821 2023-01-06 14:16:51,082 - mmseg - INFO - Iter [159100/160000] lr: 3.379e-07, eta: 0:05:04, time: 0.321, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0867, decode.acc_seg: 96.3205, loss: 0.0867 2023-01-06 14:17:07,353 - mmseg - INFO - Iter [159150/160000] lr: 3.191e-07, eta: 0:04:47, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0878, decode.acc_seg: 96.3273, loss: 0.0878 2023-01-06 14:17:23,874 - mmseg - INFO - Iter [159200/160000] lr: 3.004e-07, eta: 0:04:30, time: 0.330, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0870, decode.acc_seg: 96.4003, loss: 0.0870 2023-01-06 14:17:42,517 - mmseg - INFO - Iter [159250/160000] lr: 2.816e-07, eta: 0:04:13, time: 0.373, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0867, decode.acc_seg: 96.3554, loss: 0.0867 2023-01-06 14:17:58,957 - mmseg - INFO - Iter [159300/160000] lr: 2.629e-07, eta: 0:03:56, time: 0.329, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0823, decode.acc_seg: 96.4657, loss: 0.0823 2023-01-06 14:18:15,251 - mmseg - INFO - Iter [159350/160000] lr: 2.441e-07, eta: 0:03:39, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0834, decode.acc_seg: 96.5194, loss: 0.0834 2023-01-06 14:18:31,431 - mmseg - INFO - Iter [159400/160000] lr: 2.254e-07, eta: 0:03:22, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0893, decode.acc_seg: 96.3874, loss: 0.0893 2023-01-06 14:18:47,730 - mmseg - INFO - Iter [159450/160000] lr: 2.066e-07, eta: 0:03:06, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0875, decode.acc_seg: 96.2748, loss: 0.0875 2023-01-06 14:19:04,287 - mmseg - INFO - Iter [159500/160000] lr: 1.879e-07, eta: 0:02:49, time: 0.331, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0812, decode.acc_seg: 96.5236, loss: 0.0812 2023-01-06 14:19:20,705 - mmseg - INFO - Iter [159550/160000] lr: 1.691e-07, eta: 0:02:32, time: 0.328, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0837, decode.acc_seg: 96.4934, loss: 0.0837 2023-01-06 14:19:39,569 - mmseg - INFO - Iter [159600/160000] lr: 1.504e-07, eta: 0:02:15, time: 0.377, data_time: 0.056, memory: 8466, decode.loss_ce: 0.0906, decode.acc_seg: 96.1983, loss: 0.0906 2023-01-06 14:19:56,335 - mmseg - INFO - Iter [159650/160000] lr: 1.316e-07, eta: 0:01:58, time: 0.335, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0891, decode.acc_seg: 96.2882, loss: 0.0891 2023-01-06 14:20:12,642 - mmseg - INFO - Iter [159700/160000] lr: 1.129e-07, eta: 0:01:41, time: 0.326, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0831, decode.acc_seg: 96.4193, loss: 0.0831 2023-01-06 14:20:28,784 - mmseg - INFO - Iter [159750/160000] lr: 9.413e-08, eta: 0:01:24, time: 0.323, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0875, decode.acc_seg: 96.4027, loss: 0.0875 2023-01-06 14:20:45,005 - mmseg - INFO - Iter [159800/160000] lr: 7.537e-08, eta: 0:01:07, time: 0.324, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0852, decode.acc_seg: 96.3446, loss: 0.0852 2023-01-06 14:21:01,121 - mmseg - INFO - Iter [159850/160000] lr: 5.663e-08, eta: 0:00:50, time: 0.323, data_time: 0.011, memory: 8466, decode.loss_ce: 0.0836, decode.acc_seg: 96.5482, loss: 0.0836 2023-01-06 14:21:17,758 - mmseg - INFO - Iter [159900/160000] lr: 3.787e-08, eta: 0:00:33, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0857, decode.acc_seg: 96.4641, loss: 0.0857 2023-01-06 14:21:34,339 - mmseg - INFO - Iter [159950/160000] lr: 1.913e-08, eta: 0:00:16, time: 0.332, data_time: 0.010, memory: 8466, decode.loss_ce: 0.0794, decode.acc_seg: 96.5828, loss: 0.0794 2023-01-06 14:21:53,539 - mmseg - INFO - Saving checkpoint at 160000 iterations 2023-01-06 14:21:56,508 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 14:21:56,509 - mmseg - INFO - Iter [160000/160000] lr: 3.750e-10, eta: 0:00:00, time: 0.444, data_time: 0.055, memory: 8466, decode.loss_ce: 0.0847, decode.acc_seg: 96.4073, loss: 0.0847 2023-01-06 14:22:21,728 - mmseg - INFO - per class results: 2023-01-06 14:22:21,730 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 97.95 | 99.04 | | sidewalk | 82.83 | 90.35 | | building | 91.71 | 96.3 | | wall | 52.64 | 59.41 | | fence | 53.66 | 66.62 | | pole | 61.85 | 72.37 | | traffic light | 65.71 | 78.56 | | traffic sign | 74.64 | 82.11 | | vegetation | 92.18 | 96.55 | | terrain | 61.3 | 69.44 | | sky | 94.52 | 98.07 | | person | 77.57 | 89.34 | | rider | 52.84 | 65.0 | | car | 93.47 | 97.16 | | truck | 64.08 | 74.41 | | bus | 70.96 | 79.16 | | train | 56.05 | 69.81 | | motorcycle | 47.28 | 55.69 | | bicycle | 72.82 | 85.93 | +---------------+-------+-------+ 2023-01-06 14:22:21,730 - mmseg - INFO - Summary: 2023-01-06 14:22:21,731 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 95.52 | 71.79 | 80.28 | +-------+-------+-------+ 2023-01-06 14:22:21,732 - mmseg - INFO - Exp name: dest_simpatt-b2_1024x1024_160k_cityscapes.py 2023-01-06 14:22:21,732 - mmseg - INFO - Iter(val) [63] aAcc: 0.9552, mIoU: 0.7179, mAcc: 0.8028, IoU.road: 0.9795, IoU.sidewalk: 0.8283, IoU.building: 0.9171, IoU.wall: 0.5264, IoU.fence: 0.5366, IoU.pole: 0.6185, IoU.traffic light: 0.6571, IoU.traffic sign: 0.7464, IoU.vegetation: 0.9218, IoU.terrain: 0.6130, IoU.sky: 0.9452, IoU.person: 0.7757, IoU.rider: 0.5284, IoU.car: 0.9347, IoU.truck: 0.6408, IoU.bus: 0.7096, IoU.train: 0.5605, IoU.motorcycle: 0.4728, IoU.bicycle: 0.7282, Acc.road: 0.9904, Acc.sidewalk: 0.9035, Acc.building: 0.9630, Acc.wall: 0.5941, Acc.fence: 0.6662, Acc.pole: 0.7237, Acc.traffic light: 0.7856, Acc.traffic sign: 0.8211, Acc.vegetation: 0.9655, Acc.terrain: 0.6944, Acc.sky: 0.9807, Acc.person: 0.8934, Acc.rider: 0.6500, Acc.car: 0.9716, Acc.truck: 0.7441, Acc.bus: 0.7916, Acc.train: 0.6981, Acc.motorcycle: 0.5569, Acc.bicycle: 0.8593