2024-01-03 21:03:24,999 - mmseg - INFO - Environment info: ------------------------------------------------------------ sys.platform: linux Python: 3.9.18 (main, Sep 11 2023, 13:41:44) [GCC 11.2.0] CUDA available: True GPU 0,1,2,3,4,5,6,7: Tesla V100-SXM2-32GB-LS CUDA_HOME: /usr/local/cuda NVCC: Cuda compilation tools, release 11.3, V11.3.58 GCC: gcc (Ubuntu 9.3.0-17ubuntu1~20.04) 9.3.0 PyTorch: 2.0.0+cu117 PyTorch compiling details: PyTorch built with: - GCC 9.3 - C++ Version: 201703 - Intel(R) oneAPI Math Kernel Library Version 2022.2-Product Build 20220804 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.7.3 (Git Hash 6dbeffbae1f23cbbeae17adb7b5b13f1f37c080e) - OpenMP 201511 (a.k.a. OpenMP 4.5) - LAPACK is enabled (usually provided by MKL) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.7 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 - CuDNN 8.5 - Magma 2.6.1 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.7, CUDNN_VERSION=8.5.0, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_DISABLE_GPU_ASSERTS=ON, TORCH_VERSION=2.0.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=1, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, TorchVision: 0.15.0+cu117 OpenCV: 4.8.1 MMCV: 1.5.0 MMCV Compiler: GCC 9.3 MMCV CUDA Compiler: 11.3 MMSegmentation: 0.27.0+fb51178 ------------------------------------------------------------ 2024-01-03 21:03:25,000 - mmseg - INFO - Distributed training: True 2024-01-03 21:03:25,001 - mmseg - INFO - Config: Config (path: evaluation/configs/vitb_nyu_linear_norm5e-3_config.py): {'custom_imports': {'imports': ['evaluation.depth', 'evaluation.segmentation']}, 'dataset_type': 'NYUDataset', 'data_root': 'data/nyu', 'img_norm_cfg': {'mean': [123.675, 116.28, 103.53], 'std': [58.395, 57.12, 57.375], 'to_rgb': True}, 'crop_size': (416, 544), 'train_pipeline': [{'type': 'LoadImageFromFile'}, {'type': 'DepthLoadAnnotations'}, {'type': 'NYUCrop', 'depth': True}, {'type': 'RandomRotate', 'prob': 0.5, 'degree': 2.5}, {'type': 'RandomFlip', 'prob': 0.5}, {'type': 'RandomCrop', 'crop_size': (416, 544)}, {'type': 'ColorAug', 'prob': 0.5, 'gamma_range': [0.9, 1.1], 'brightness_range': [0.75, 1.25], 'color_range': [0.9, 1.1]}, {'type': 'Normalize', 'mean': [123.675, 116.28, 103.53], 'std': [58.395, 57.12, 57.375], 'to_rgb': True}, {'type': 'DefaultFormatBundle'}, {'type': 'Collect', 'keys': ['img', 'depth_gt'], 'meta_keys': ('filename', 'ori_filename', 'ori_shape', 'img_shape', 'pad_shape', 'scale_factor', 'flip', 'flip_direction', 'img_norm_cfg', 'cam_intrinsic')}], 'test_pipeline': [{'type': 'LoadImageFromFile'}, {'type': 'MultiScaleFlipAug', 'img_scale': (480, 640), 'flip': True, 'flip_direction': 'horizontal', 'transforms': [{'type': 'RandomFlip', 'direction': 'horizontal'}, {'type': 'Normalize', 'mean': [123.675, 116.28, 103.53], 'std': [58.395, 57.12, 57.375], 'to_rgb': True}, {'type': 'ImageToTensor', 'keys': ['img']}, {'type': 'Collect', 'keys': ['img'], 'meta_keys': ('filename', 'ori_filename', 'ori_shape', 'img_shape', 'pad_shape', 'scale_factor', 'flip', 'flip_direction', 'img_norm_cfg', 'cam_intrinsic')}]}], 'eval_pipeline': [{'type': 'LoadImageFromFile'}, {'type': 'RandomFlip', 'prob': 0.0}, {'type': 'Normalize', 'mean': [123.675, 116.28, 103.53], 'std': [58.395, 57.12, 57.375], 'to_rgb': True}, {'type': 'ImageToTensor', 'keys': ['img']}, {'type': 'Collect', 'keys': ['img'], 'meta_keys': ('filename', 'ori_filename', 'ori_shape', 'img_shape', 'pad_shape', 'scale_factor', 'flip', 'flip_direction', 'img_norm_cfg', 'cam_intrinsic')}], 'data': {'samples_per_gpu': 2, 'workers_per_gpu': 2, 'train': {'type': 'NYUDataset', 'data_root': 'data/nyu', 'depth_scale': 1000, 'split': 'nyu_train.txt', 'pipeline': [{'type': 'LoadImageFromFile'}, {'type': 'DepthLoadAnnotations'}, {'type': 'NYUCrop', 'depth': True}, {'type': 'RandomRotate', 'prob': 0.5, 'degree': 2.5}, {'type': 'RandomFlip', 'prob': 0.5}, {'type': 'RandomCrop', 'crop_size': (416, 544)}, {'type': 'ColorAug', 'prob': 0.5, 'gamma_range': [0.9, 1.1], 'brightness_range': [0.75, 1.25], 'color_range': [0.9, 1.1]}, {'type': 'Normalize', 'mean': [123.675, 116.28, 103.53], 'std': [58.395, 57.12, 57.375], 'to_rgb': True}, {'type': 'DefaultFormatBundle'}, {'type': 'Collect', 'keys': ['img', 'depth_gt'], 'meta_keys': ('filename', 'ori_filename', 'ori_shape', 'img_shape', 'pad_shape', 'scale_factor', 'flip', 'flip_direction', 'img_norm_cfg', 'cam_intrinsic')}], 'garg_crop': False, 'eigen_crop': True, 'min_depth': 0.001, 'max_depth': 10}, 'val': {'type': 'NYUDataset', 'data_root': 'data/nyu', 'depth_scale': 1000, 'split': 'nyu_test.txt', 'pipeline': [{'type': 'LoadImageFromFile'}, {'type': 'MultiScaleFlipAug', 'img_scale': (480, 640), 'flip': True, 'flip_direction': 'horizontal', 'transforms': [{'type': 'RandomFlip', 'direction': 'horizontal'}, {'type': 'Normalize', 'mean': [123.675, 116.28, 103.53], 'std': [58.395, 57.12, 57.375], 'to_rgb': True}, {'type': 'ImageToTensor', 'keys': ['img']}, {'type': 'Collect', 'keys': ['img'], 'meta_keys': ('filename', 'ori_filename', 'ori_shape', 'img_shape', 'pad_shape', 'scale_factor', 'flip', 'flip_direction', 'img_norm_cfg', 'cam_intrinsic')}]}], 'garg_crop': False, 'eigen_crop': True, 'min_depth': 0.001, 'max_depth': 10}, 'test': {'type': 'NYUDataset', 'data_root': 'data/nyu', 'depth_scale': 1000, 'split': 'nyu_test.txt', 'pipeline': [{'type': 'LoadImageFromFile'}, {'type': 'MultiScaleFlipAug', 'img_scale': (480, 640), 'flip': True, 'flip_direction': 'horizontal', 'transforms': [{'type': 'RandomFlip', 'direction': 'horizontal'}, {'type': 'Normalize', 'mean': [123.675, 116.28, 103.53], 'std': [58.395, 57.12, 57.375], 'to_rgb': True}, {'type': 'ImageToTensor', 'keys': ['img']}, {'type': 'Collect', 'keys': ['img'], 'meta_keys': ('filename', 'ori_filename', 'ori_shape', 'img_shape', 'pad_shape', 'scale_factor', 'flip', 'flip_direction', 'img_norm_cfg', 'cam_intrinsic')}]}], 'garg_crop': False, 'eigen_crop': True, 'min_depth': 0.001, 'max_depth': 10}}, 'log_config': {'interval': 50, 'hooks': [{'type': 'TextLoggerHook', 'by_epoch': False}]}, 'dist_params': {'backend': 'nccl'}, 'log_level': 'INFO', 'load_from': None, 'resume_from': '', 'workflow': [('train', 1)], 'cudnn_benchmark': True, 'model': {'type': 'DepthEncoderDecoder', 'backbone': {'type': 'DinoVisionTransformer', 'final_norm': True, 'with_cls_token': True, 'output_cls_token': True, 'frozen_stages': 100, 'out_indices': [11]}, 'decode_head': {'type': 'BNHead', 'norm_cfg': None, 'min_depth': 0.001, 'max_depth': 10, 'loss_decode': [{'type': 'SigLoss', 'valid_mask': True, 'loss_weight': 1.0, 'warm_up': True, 'loss_name': 'loss_depth'}, {'type': 'GradientLoss', 'valid_mask': True, 'loss_weight': 0.5, 'loss_name': 'loss_grad'}], 'classify': True, 'n_bins': 256, 'bins_strategy': 'UD', 'norm_strategy': 'linear', 'upsample': 4, 'in_channels': [768], 'in_index': [0], 'input_transform': 'resize_concat', 'channels': 1536, 'align_corners': False}, 'train_cfg': {}, 'test_cfg': {'mode': 'whole'}}, 'optimizer': {'type': 'AdamW', 'lr': 0.005, 'betas': (0.9, 0.999), 'weight_decay': 0.01, 'paramwise_cfg': {'custom_keys': {'pos_embed': {'decay_mult': 0.0}, 'cls_token': {'decay_mult': 0.0}, 'norm': {'decay_mult': 0.0}, 'backbone': {'lr_mult': 0.1}}}}, 'lr_config': {'policy': 'CosineAnnealing', 'warmup': 'linear', 'warmup_iters': 12800, 'warmup_ratio': 0.001, 'min_lr_ratio': 1e-08, 'by_epoch': False}, 'momentum_config': {'policy': 'OneCycle'}, 'optimizer_config': {'grad_clip': {'max_norm': 35, 'norm_type': 2}}, 'runner': {'type': 'IterBasedRunner', 'max_iters': 38400}, 'checkpoint_config': {'by_epoch': False, 'max_keep_ckpts': 2, 'interval': 1600}, 'evaluation': {'by_epoch': False, 'interval': 3200, 'pre_eval': True, 'rule': 'less', 'save_best': 'abs_rel', 'greater_keys': ('a1', 'a2', 'a3'), 'less_keys': ('abs_rel', 'rmse')}, 'work_dir': './work_dirs/depth_eval/nyu_paper/voc10k_distilled/vit_base_patch16_224.mae', 'gpu_ids': range(0, 1)} 2024-01-03 21:03:34,520 - mmseg - INFO - Loading backbone from vit_base_patch16_224.mae 2024-01-03 21:03:35,791 - mmseg - INFO - _IncompatibleKeys(missing_keys=['vit.model.cls_token', 'vit.model.pos_embed', 'vit.model.patch_embed.proj.weight', 'vit.model.patch_embed.proj.bias', 'vit.model.blocks.0.norm1.weight', 'vit.model.blocks.0.norm1.bias', 'vit.model.blocks.0.attn.qkv.weight', 'vit.model.blocks.0.attn.qkv.bias', 'vit.model.blocks.0.attn.proj.weight', 'vit.model.blocks.0.attn.proj.bias', 'vit.model.blocks.0.norm2.weight', 'vit.model.blocks.0.norm2.bias', 'vit.model.blocks.0.mlp.fc1.weight', 'vit.model.blocks.0.mlp.fc1.bias', 'vit.model.blocks.0.mlp.fc2.weight', 'vit.model.blocks.0.mlp.fc2.bias', 'vit.model.blocks.1.norm1.weight', 'vit.model.blocks.1.norm1.bias', 'vit.model.blocks.1.attn.qkv.weight', 'vit.model.blocks.1.attn.qkv.bias', 'vit.model.blocks.1.attn.proj.weight', 'vit.model.blocks.1.attn.proj.bias', 'vit.model.blocks.1.norm2.weight', 'vit.model.blocks.1.norm2.bias', 'vit.model.blocks.1.mlp.fc1.weight', 'vit.model.blocks.1.mlp.fc1.bias', 'vit.model.blocks.1.mlp.fc2.weight', 'vit.model.blocks.1.mlp.fc2.bias', 'vit.model.blocks.2.norm1.weight', 'vit.model.blocks.2.norm1.bias', 'vit.model.blocks.2.attn.qkv.weight', 'vit.model.blocks.2.attn.qkv.bias', 'vit.model.blocks.2.attn.proj.weight', 'vit.model.blocks.2.attn.proj.bias', 'vit.model.blocks.2.norm2.weight', 'vit.model.blocks.2.norm2.bias', 'vit.model.blocks.2.mlp.fc1.weight', 'vit.model.blocks.2.mlp.fc1.bias', 'vit.model.blocks.2.mlp.fc2.weight', 'vit.model.blocks.2.mlp.fc2.bias', 'vit.model.blocks.3.norm1.weight', 'vit.model.blocks.3.norm1.bias', 'vit.model.blocks.3.attn.qkv.weight', 'vit.model.blocks.3.attn.qkv.bias', 'vit.model.blocks.3.attn.proj.weight', 'vit.model.blocks.3.attn.proj.bias', 'vit.model.blocks.3.norm2.weight', 'vit.model.blocks.3.norm2.bias', 'vit.model.blocks.3.mlp.fc1.weight', 'vit.model.blocks.3.mlp.fc1.bias', 'vit.model.blocks.3.mlp.fc2.weight', 'vit.model.blocks.3.mlp.fc2.bias', 'vit.model.blocks.4.norm1.weight', 'vit.model.blocks.4.norm1.bias', 'vit.model.blocks.4.attn.qkv.weight', 'vit.model.blocks.4.attn.qkv.bias', 'vit.model.blocks.4.attn.proj.weight', 'vit.model.blocks.4.attn.proj.bias', 'vit.model.blocks.4.norm2.weight', 'vit.model.blocks.4.norm2.bias', 'vit.model.blocks.4.mlp.fc1.weight', 'vit.model.blocks.4.mlp.fc1.bias', 'vit.model.blocks.4.mlp.fc2.weight', 'vit.model.blocks.4.mlp.fc2.bias', 'vit.model.blocks.5.norm1.weight', 'vit.model.blocks.5.norm1.bias', 'vit.model.blocks.5.attn.qkv.weight', 'vit.model.blocks.5.attn.qkv.bias', 'vit.model.blocks.5.attn.proj.weight', 'vit.model.blocks.5.attn.proj.bias', 'vit.model.blocks.5.norm2.weight', 'vit.model.blocks.5.norm2.bias', 'vit.model.blocks.5.mlp.fc1.weight', 'vit.model.blocks.5.mlp.fc1.bias', 'vit.model.blocks.5.mlp.fc2.weight', 'vit.model.blocks.5.mlp.fc2.bias', 'vit.model.blocks.6.norm1.weight', 'vit.model.blocks.6.norm1.bias', 'vit.model.blocks.6.attn.qkv.weight', 'vit.model.blocks.6.attn.qkv.bias', 'vit.model.blocks.6.attn.proj.weight', 'vit.model.blocks.6.attn.proj.bias', 'vit.model.blocks.6.norm2.weight', 'vit.model.blocks.6.norm2.bias', 'vit.model.blocks.6.mlp.fc1.weight', 'vit.model.blocks.6.mlp.fc1.bias', 'vit.model.blocks.6.mlp.fc2.weight', 'vit.model.blocks.6.mlp.fc2.bias', 'vit.model.blocks.7.norm1.weight', 'vit.model.blocks.7.norm1.bias', 'vit.model.blocks.7.attn.qkv.weight', 'vit.model.blocks.7.attn.qkv.bias', 'vit.model.blocks.7.attn.proj.weight', 'vit.model.blocks.7.attn.proj.bias', 'vit.model.blocks.7.norm2.weight', 'vit.model.blocks.7.norm2.bias', 'vit.model.blocks.7.mlp.fc1.weight', 'vit.model.blocks.7.mlp.fc1.bias', 'vit.model.blocks.7.mlp.fc2.weight', 'vit.model.blocks.7.mlp.fc2.bias', 'vit.model.blocks.8.norm1.weight', 'vit.model.blocks.8.norm1.bias', 'vit.model.blocks.8.attn.qkv.weight', 'vit.model.blocks.8.attn.qkv.bias', 'vit.model.blocks.8.attn.proj.weight', 'vit.model.blocks.8.attn.proj.bias', 'vit.model.blocks.8.norm2.weight', 'vit.model.blocks.8.norm2.bias', 'vit.model.blocks.8.mlp.fc1.weight', 'vit.model.blocks.8.mlp.fc1.bias', 'vit.model.blocks.8.mlp.fc2.weight', 'vit.model.blocks.8.mlp.fc2.bias', 'vit.model.blocks.9.norm1.weight', 'vit.model.blocks.9.norm1.bias', 'vit.model.blocks.9.attn.qkv.weight', 'vit.model.blocks.9.attn.qkv.bias', 'vit.model.blocks.9.attn.proj.weight', 'vit.model.blocks.9.attn.proj.bias', 'vit.model.blocks.9.norm2.weight', 'vit.model.blocks.9.norm2.bias', 'vit.model.blocks.9.mlp.fc1.weight', 'vit.model.blocks.9.mlp.fc1.bias', 'vit.model.blocks.9.mlp.fc2.weight', 'vit.model.blocks.9.mlp.fc2.bias', 'vit.model.blocks.10.norm1.weight', 'vit.model.blocks.10.norm1.bias', 'vit.model.blocks.10.attn.qkv.weight', 'vit.model.blocks.10.attn.qkv.bias', 'vit.model.blocks.10.attn.proj.weight', 'vit.model.blocks.10.attn.proj.bias', 'vit.model.blocks.10.norm2.weight', 'vit.model.blocks.10.norm2.bias', 'vit.model.blocks.10.mlp.fc1.weight', 'vit.model.blocks.10.mlp.fc1.bias', 'vit.model.blocks.10.mlp.fc2.weight', 'vit.model.blocks.10.mlp.fc2.bias', 'vit.model.blocks.11.norm1.weight', 'vit.model.blocks.11.norm1.bias', 'vit.model.blocks.11.attn.qkv.weight', 'vit.model.blocks.11.attn.qkv.bias', 'vit.model.blocks.11.attn.proj.weight', 'vit.model.blocks.11.attn.proj.bias', 'vit.model.blocks.11.norm2.weight', 'vit.model.blocks.11.norm2.bias', 'vit.model.blocks.11.mlp.fc1.weight', 'vit.model.blocks.11.mlp.fc1.bias', 'vit.model.blocks.11.mlp.fc2.weight', 'vit.model.blocks.11.mlp.fc2.bias', 'vit.model.norm.weight', 'vit.model.norm.bias'], unexpected_keys=[]) 2024-01-03 21:03:35,794 - mmseg - INFO - pos_embed loaded 2024-01-03 21:03:35,794 - mmseg - INFO - denoiser.norm1.weight loaded 2024-01-03 21:03:35,794 - mmseg - INFO - denoiser.norm1.bias loaded 2024-01-03 21:03:35,795 - mmseg - INFO - denoiser.attn.qkv.weight loaded 2024-01-03 21:03:35,795 - mmseg - INFO - denoiser.attn.qkv.bias loaded 2024-01-03 21:03:35,795 - mmseg - INFO - denoiser.attn.proj.weight loaded 2024-01-03 21:03:35,795 - mmseg - INFO - denoiser.attn.proj.bias loaded 2024-01-03 21:03:35,795 - mmseg - INFO - denoiser.norm2.weight loaded 2024-01-03 21:03:35,795 - mmseg - INFO - denoiser.norm2.bias loaded 2024-01-03 21:03:35,795 - mmseg - INFO - denoiser.mlp.fc1.weight loaded 2024-01-03 21:03:35,795 - mmseg - INFO - denoiser.mlp.fc1.bias loaded 2024-01-03 21:03:35,795 - mmseg - INFO - denoiser.mlp.fc2.weight loaded 2024-01-03 21:03:35,795 - mmseg - INFO - denoiser.mlp.fc2.bias loaded 2024-01-03 21:03:35,858 - mmseg - INFO - DepthEncoderDecoder( (backbone): DinoVisionTransformer() (decode_head): BNHead( align_corners=False (loss_decode): ModuleList( (0): SigLoss() (1): GradientLoss() ) (softmax): Softmax(dim=1) (conv_depth): Conv2d(1536, 256, kernel_size=(1, 1), stride=(1, 1)) (relu): ReLU() (sigmoid): Sigmoid() ) ) 2024-01-03 21:03:36,090 - mmseg - INFO - Loaded 24231 images. Totally 0 invalid pairs are filtered 2024-01-03 21:03:38,591 - mmseg - INFO - Loaded 654 images. Totally 0 invalid pairs are filtered 2024-01-03 21:03:38,592 - mmseg - INFO - Start running, host: root, work_dir: ./work_dirs/depth_eval/nyu_paper/voc10k_distilled/vit_base_patch16_224.mae 2024-01-03 21:03:38,592 - mmseg - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) CosineAnnealingLrUpdaterHook (HIGH ) OneCycleMomentumUpdaterHook (NORMAL ) CheckpointHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_train_epoch: (VERY_HIGH ) CosineAnnealingLrUpdaterHook (HIGH ) OneCycleMomentumUpdaterHook (LOW ) IterTimerHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_train_iter: (VERY_HIGH ) CosineAnnealingLrUpdaterHook (HIGH ) OneCycleMomentumUpdaterHook (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 -------------------- 2024-01-03 21:03:38,592 - mmseg - INFO - workflow: [('train', 1)], max: 38400 iters 2024-01-03 21:03:38,593 - mmseg - INFO - Checkpoints will be saved to ./work_dirs/depth_eval/nyu_paper/voc10k_distilled/vit_base_patch16_224.mae by HardDiskBackend. 2024-01-03 21:04:07,892 - mmseg - INFO - Iter [50/38400] lr: 2.412e-05, eta: 2:14:58, time: 0.211, data_time: 0.007, memory: 805, decode.loss_depth: 0.2470, decode.loss_grad: 0.0000, loss: 0.2470, grad_norm: 0.6329 2024-01-03 21:04:13,542 - mmseg - INFO - Iter [100/38400] lr: 4.363e-05, eta: 1:43:28, time: 0.113, data_time: 0.003, memory: 805, decode.loss_depth: 0.1373, decode.loss_grad: 0.0000, loss: 0.1373, grad_norm: 0.4907 2024-01-03 21:04:19,155 - mmseg - INFO - Iter [150/38400] lr: 6.314e-05, eta: 1:32:44, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.4331, decode.loss_grad: 0.0000, loss: 0.4331, grad_norm: 0.1146 2024-01-03 21:04:24,826 - mmseg - INFO - Iter [200/38400] lr: 8.265e-05, eta: 1:27:31, time: 0.113, data_time: 0.003, memory: 805, decode.loss_depth: 0.4269, decode.loss_grad: 0.0000, loss: 0.4269, grad_norm: 0.0869 2024-01-03 21:04:30,455 - mmseg - INFO - Iter [250/38400] lr: 1.022e-04, eta: 1:24:14, time: 0.113, data_time: 0.003, memory: 805, decode.loss_depth: 0.4240, decode.loss_grad: 0.0000, loss: 0.4240, grad_norm: 0.0831 2024-01-03 21:04:36,059 - mmseg - INFO - Iter [300/38400] lr: 1.217e-04, eta: 1:21:58, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.4105, decode.loss_grad: 0.0000, loss: 0.4105, grad_norm: 0.0836 2024-01-03 21:04:41,777 - mmseg - INFO - Iter [350/38400] lr: 1.412e-04, eta: 1:20:31, time: 0.114, data_time: 0.003, memory: 805, decode.loss_depth: 0.4023, decode.loss_grad: 0.0000, loss: 0.4023, grad_norm: 0.0975 2024-01-03 21:04:47,413 - mmseg - INFO - Iter [400/38400] lr: 1.607e-04, eta: 1:19:17, time: 0.113, data_time: 0.003, memory: 805, decode.loss_depth: 0.3840, decode.loss_grad: 0.0000, loss: 0.3840, grad_norm: 0.1164 2024-01-03 21:04:53,021 - mmseg - INFO - Iter [450/38400] lr: 1.802e-04, eta: 1:18:16, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.3708, decode.loss_grad: 0.0000, loss: 0.3708, grad_norm: 0.1304 2024-01-03 21:04:58,629 - mmseg - INFO - Iter [500/38400] lr: 1.996e-04, eta: 1:17:26, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.3702, decode.loss_grad: 0.0000, loss: 0.3702, grad_norm: 0.1291 2024-01-03 21:05:04,228 - mmseg - INFO - Iter [550/38400] lr: 2.191e-04, eta: 1:16:43, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.3642, decode.loss_grad: 0.0000, loss: 0.3642, grad_norm: 0.1242 2024-01-03 21:05:09,848 - mmseg - INFO - Iter [600/38400] lr: 2.386e-04, eta: 1:16:08, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.3455, decode.loss_grad: 0.0000, loss: 0.3455, grad_norm: 0.1262 2024-01-03 21:05:15,499 - mmseg - INFO - Iter [650/38400] lr: 2.581e-04, eta: 1:15:39, time: 0.113, data_time: 0.003, memory: 805, decode.loss_depth: 0.3445, decode.loss_grad: 0.0000, loss: 0.3445, grad_norm: 0.1233 2024-01-03 21:05:21,060 - mmseg - INFO - Iter [700/38400] lr: 2.775e-04, eta: 1:15:09, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.3375, decode.loss_grad: 0.0000, loss: 0.3375, grad_norm: 0.1224 2024-01-03 21:05:26,684 - mmseg - INFO - Iter [750/38400] lr: 2.970e-04, eta: 1:14:45, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.3249, decode.loss_grad: 0.0000, loss: 0.3249, grad_norm: 0.1310 2024-01-03 21:05:32,316 - mmseg - INFO - Iter [800/38400] lr: 3.165e-04, eta: 1:14:24, time: 0.113, data_time: 0.003, memory: 805, decode.loss_depth: 0.3299, decode.loss_grad: 0.0000, loss: 0.3299, grad_norm: 0.1267 2024-01-03 21:05:37,905 - mmseg - INFO - Iter [850/38400] lr: 3.359e-04, eta: 1:14:02, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.3154, decode.loss_grad: 0.0000, loss: 0.3154, grad_norm: 0.1274 2024-01-03 21:05:43,469 - mmseg - INFO - Iter [900/38400] lr: 3.553e-04, eta: 1:13:42, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.3172, decode.loss_grad: 0.0000, loss: 0.3172, grad_norm: 0.1230 2024-01-03 21:05:49,108 - mmseg - INFO - Iter [950/38400] lr: 3.748e-04, eta: 1:13:26, time: 0.113, data_time: 0.003, memory: 805, decode.loss_depth: 0.3207, decode.loss_grad: 0.0000, loss: 0.3207, grad_norm: 0.1258 2024-01-03 21:05:54,634 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:05:54,634 - mmseg - INFO - Iter [1000/38400] lr: 3.942e-04, eta: 1:13:06, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.3057, decode.loss_grad: 0.0000, loss: 0.3057, grad_norm: 0.1211 2024-01-03 21:06:00,253 - mmseg - INFO - Iter [1050/38400] lr: 4.136e-04, eta: 1:12:52, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.3058, decode.loss_grad: 0.0000, loss: 0.3058, grad_norm: 0.1357 2024-01-03 21:06:05,873 - mmseg - INFO - Iter [1100/38400] lr: 4.330e-04, eta: 1:12:38, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.3064, decode.loss_grad: 0.0000, loss: 0.3064, grad_norm: 0.1260 2024-01-03 21:06:11,538 - mmseg - INFO - Iter [1150/38400] lr: 4.524e-04, eta: 1:12:26, time: 0.113, data_time: 0.003, memory: 805, decode.loss_depth: 0.2986, decode.loss_grad: 0.0000, loss: 0.2986, grad_norm: 0.1265 2024-01-03 21:06:17,216 - mmseg - INFO - Iter [1200/38400] lr: 4.718e-04, eta: 1:12:16, time: 0.114, data_time: 0.003, memory: 805, decode.loss_depth: 0.2898, decode.loss_grad: 0.0000, loss: 0.2898, grad_norm: 0.1368 2024-01-03 21:06:22,928 - mmseg - INFO - Iter [1250/38400] lr: 4.911e-04, eta: 1:12:06, time: 0.114, data_time: 0.003, memory: 805, decode.loss_depth: 0.3041, decode.loss_grad: 0.0000, loss: 0.3041, grad_norm: 0.1220 2024-01-03 21:06:28,610 - mmseg - INFO - Iter [1300/38400] lr: 5.105e-04, eta: 1:11:57, time: 0.114, data_time: 0.003, memory: 805, decode.loss_depth: 0.2944, decode.loss_grad: 0.0000, loss: 0.2944, grad_norm: 0.1268 2024-01-03 21:06:34,236 - mmseg - INFO - Iter [1350/38400] lr: 5.298e-04, eta: 1:11:45, time: 0.113, data_time: 0.003, memory: 805, decode.loss_depth: 0.2961, decode.loss_grad: 0.0000, loss: 0.2961, grad_norm: 0.1226 2024-01-03 21:06:39,930 - mmseg - INFO - Iter [1400/38400] lr: 5.491e-04, eta: 1:11:37, time: 0.114, data_time: 0.003, memory: 805, decode.loss_depth: 0.2887, decode.loss_grad: 0.0000, loss: 0.2887, grad_norm: 0.1269 2024-01-03 21:06:45,511 - mmseg - INFO - Iter [1450/38400] lr: 5.684e-04, eta: 1:11:25, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2836, decode.loss_grad: 0.0000, loss: 0.2836, grad_norm: 0.1236 2024-01-03 21:06:51,144 - mmseg - INFO - Iter [1500/38400] lr: 5.877e-04, eta: 1:11:15, time: 0.113, data_time: 0.003, memory: 805, decode.loss_depth: 0.2880, decode.loss_grad: 0.0000, loss: 0.2880, grad_norm: 0.1190 2024-01-03 21:06:58,844 - mmseg - INFO - Iter [1550/38400] lr: 6.070e-04, eta: 1:11:55, time: 0.154, data_time: 0.047, memory: 805, decode.loss_depth: 0.2857, decode.loss_grad: 0.0000, loss: 0.2857, grad_norm: 0.1309 2024-01-03 21:07:04,417 - mmseg - INFO - Saving checkpoint at 1600 iterations 2024-01-03 21:07:04,442 - mmseg - INFO - Iter [1600/38400] lr: 6.263e-04, eta: 1:11:43, time: 0.112, data_time: 0.004, memory: 805, decode.loss_depth: 0.2830, decode.loss_grad: 0.0000, loss: 0.2830, grad_norm: 0.1341 2024-01-03 21:07:09,967 - mmseg - INFO - Iter [1650/38400] lr: 6.456e-04, eta: 1:11:30, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2818, decode.loss_grad: 0.0000, loss: 0.2818, grad_norm: 0.1325 2024-01-03 21:07:15,511 - mmseg - INFO - Iter [1700/38400] lr: 6.648e-04, eta: 1:11:18, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2771, decode.loss_grad: 0.0000, loss: 0.2771, grad_norm: 0.1200 2024-01-03 21:07:21,047 - mmseg - INFO - Iter [1750/38400] lr: 6.840e-04, eta: 1:11:06, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2888, decode.loss_grad: 0.0000, loss: 0.2888, grad_norm: 0.1357 2024-01-03 21:07:26,608 - mmseg - INFO - Iter [1800/38400] lr: 7.032e-04, eta: 1:10:55, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2733, decode.loss_grad: 0.0000, loss: 0.2733, grad_norm: 0.1320 2024-01-03 21:07:32,082 - mmseg - INFO - Iter [1850/38400] lr: 7.224e-04, eta: 1:10:42, time: 0.109, data_time: 0.003, memory: 805, decode.loss_depth: 0.2799, decode.loss_grad: 0.0000, loss: 0.2799, grad_norm: 0.1173 2024-01-03 21:07:37,643 - mmseg - INFO - Iter [1900/38400] lr: 7.416e-04, eta: 1:10:32, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2834, decode.loss_grad: 0.0000, loss: 0.2834, grad_norm: 0.1145 2024-01-03 21:07:43,176 - mmseg - INFO - Iter [1950/38400] lr: 7.607e-04, eta: 1:10:21, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2725, decode.loss_grad: 0.0000, loss: 0.2725, grad_norm: 0.1252 2024-01-03 21:07:48,714 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:07:48,714 - mmseg - INFO - Iter [2000/38400] lr: 7.798e-04, eta: 1:10:10, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2718, decode.loss_grad: 0.0000, loss: 0.2718, grad_norm: 0.1228 2024-01-03 21:07:54,214 - mmseg - INFO - Iter [2050/38400] lr: 7.990e-04, eta: 1:10:00, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2751, decode.loss_grad: 0.0000, loss: 0.2751, grad_norm: 0.1223 2024-01-03 21:07:59,761 - mmseg - INFO - Iter [2100/38400] lr: 8.180e-04, eta: 1:09:50, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2776, decode.loss_grad: 0.0000, loss: 0.2776, grad_norm: 0.1246 2024-01-03 21:08:05,360 - mmseg - INFO - Iter [2150/38400] lr: 8.371e-04, eta: 1:09:41, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2686, decode.loss_grad: 0.0000, loss: 0.2686, grad_norm: 0.1292 2024-01-03 21:08:10,912 - mmseg - INFO - Iter [2200/38400] lr: 8.562e-04, eta: 1:09:32, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2706, decode.loss_grad: 0.0000, loss: 0.2706, grad_norm: 0.1302 2024-01-03 21:08:16,464 - mmseg - INFO - Iter [2250/38400] lr: 8.752e-04, eta: 1:09:23, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2716, decode.loss_grad: 0.0000, loss: 0.2716, grad_norm: 0.1498 2024-01-03 21:08:21,963 - mmseg - INFO - Iter [2300/38400] lr: 8.942e-04, eta: 1:09:13, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2668, decode.loss_grad: 0.0000, loss: 0.2668, grad_norm: 0.1234 2024-01-03 21:08:27,494 - mmseg - INFO - Iter [2350/38400] lr: 9.132e-04, eta: 1:09:04, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2666, decode.loss_grad: 0.0000, loss: 0.2666, grad_norm: 0.1269 2024-01-03 21:08:33,052 - mmseg - INFO - Iter [2400/38400] lr: 9.321e-04, eta: 1:08:55, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2704, decode.loss_grad: 0.0000, loss: 0.2704, grad_norm: 0.1125 2024-01-03 21:08:38,595 - mmseg - INFO - Iter [2450/38400] lr: 9.511e-04, eta: 1:08:46, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2675, decode.loss_grad: 0.0000, loss: 0.2675, grad_norm: 0.1109 2024-01-03 21:08:44,137 - mmseg - INFO - Iter [2500/38400] lr: 9.700e-04, eta: 1:08:38, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2749, decode.loss_grad: 0.0000, loss: 0.2749, grad_norm: 0.1201 2024-01-03 21:08:49,642 - mmseg - INFO - Iter [2550/38400] lr: 9.889e-04, eta: 1:08:29, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2620, decode.loss_grad: 0.0000, loss: 0.2620, grad_norm: 0.1187 2024-01-03 21:08:55,164 - mmseg - INFO - Iter [2600/38400] lr: 1.008e-03, eta: 1:08:20, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2604, decode.loss_grad: 0.0000, loss: 0.2604, grad_norm: 0.1175 2024-01-03 21:09:00,659 - mmseg - INFO - Iter [2650/38400] lr: 1.027e-03, eta: 1:08:11, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2696, decode.loss_grad: 0.0000, loss: 0.2696, grad_norm: 0.1223 2024-01-03 21:09:06,183 - mmseg - INFO - Iter [2700/38400] lr: 1.045e-03, eta: 1:08:03, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2665, decode.loss_grad: 0.0000, loss: 0.2665, grad_norm: 0.1145 2024-01-03 21:09:11,682 - mmseg - INFO - Iter [2750/38400] lr: 1.064e-03, eta: 1:07:54, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2664, decode.loss_grad: 0.0000, loss: 0.2664, grad_norm: 0.1159 2024-01-03 21:09:17,221 - mmseg - INFO - Iter [2800/38400] lr: 1.083e-03, eta: 1:07:46, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2635, decode.loss_grad: 0.0000, loss: 0.2635, grad_norm: 0.1137 2024-01-03 21:09:22,765 - mmseg - INFO - Iter [2850/38400] lr: 1.102e-03, eta: 1:07:39, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2559, decode.loss_grad: 0.0000, loss: 0.2559, grad_norm: 0.1132 2024-01-03 21:09:28,254 - mmseg - INFO - Iter [2900/38400] lr: 1.120e-03, eta: 1:07:30, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2643, decode.loss_grad: 0.0000, loss: 0.2643, grad_norm: 0.1219 2024-01-03 21:09:33,847 - mmseg - INFO - Iter [2950/38400] lr: 1.139e-03, eta: 1:07:23, time: 0.112, data_time: 0.004, memory: 805, decode.loss_depth: 0.2499, decode.loss_grad: 0.0000, loss: 0.2499, grad_norm: 0.1053 2024-01-03 21:09:39,407 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:09:39,407 - mmseg - INFO - Iter [3000/38400] lr: 1.158e-03, eta: 1:07:16, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2588, decode.loss_grad: 0.0000, loss: 0.2588, grad_norm: 0.1126 2024-01-03 21:09:47,100 - mmseg - INFO - Iter [3050/38400] lr: 1.176e-03, eta: 1:07:33, time: 0.154, data_time: 0.047, memory: 805, decode.loss_depth: 0.2544, decode.loss_grad: 0.0000, loss: 0.2544, grad_norm: 0.1131 2024-01-03 21:09:52,651 - mmseg - INFO - Iter [3100/38400] lr: 1.195e-03, eta: 1:07:25, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2655, decode.loss_grad: 0.0000, loss: 0.2655, grad_norm: 0.1135 2024-01-03 21:09:58,160 - mmseg - INFO - Iter [3150/38400] lr: 1.213e-03, eta: 1:07:17, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2573, decode.loss_grad: 0.0000, loss: 0.2573, grad_norm: 0.1137 2024-01-03 21:10:03,670 - mmseg - INFO - Saving checkpoint at 3200 iterations 2024-01-03 21:10:03,691 - mmseg - INFO - Iter [3200/38400] lr: 1.232e-03, eta: 1:07:09, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2528, decode.loss_grad: 0.0000, loss: 0.2528, grad_norm: 0.1192 2024-01-03 21:10:25,953 - mmseg - INFO - Summary: 2024-01-03 21:10:25,955 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.5174 | 0.8095 | 0.9312 | 0.3449 | 0.8692 | 0.1188 | 0.326 | 21.5766 | 0.4144 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 21:10:25,973 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_3200.pth. 2024-01-03 21:10:25,973 - mmseg - INFO - Best abs_rel is 0.3449 at 3200 iter. 2024-01-03 21:10:25,974 - mmseg - INFO - Iter(val) [82] a1: 0.5174, a2: 0.8095, a3: 0.9312, abs_rel: 0.34489503502845764, rmse: 0.8692210912704468, log_10: 0.11875919997692108, rmse_log: 0.32595548033714294, silog: 21.5766, sq_rel: 0.41436997056007385 2024-01-03 21:10:31,479 - mmseg - INFO - Iter [3250/38400] lr: 1.251e-03, eta: 1:11:02, time: 0.556, data_time: 0.449, memory: 805, decode.loss_depth: 0.2596, decode.loss_grad: 0.0000, loss: 0.2596, grad_norm: 0.1105 2024-01-03 21:10:37,049 - mmseg - INFO - Iter [3300/38400] lr: 1.269e-03, eta: 1:10:51, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2620, decode.loss_grad: 0.0000, loss: 0.2620, grad_norm: 0.1218 2024-01-03 21:10:42,550 - mmseg - INFO - Iter [3350/38400] lr: 1.287e-03, eta: 1:10:39, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2604, decode.loss_grad: 0.0000, loss: 0.2604, grad_norm: 0.1251 2024-01-03 21:10:48,143 - mmseg - INFO - Iter [3400/38400] lr: 1.306e-03, eta: 1:10:28, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2576, decode.loss_grad: 0.0000, loss: 0.2576, grad_norm: 0.1144 2024-01-03 21:10:53,684 - mmseg - INFO - Iter [3450/38400] lr: 1.324e-03, eta: 1:10:17, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2599, decode.loss_grad: 0.0000, loss: 0.2599, grad_norm: 0.1085 2024-01-03 21:10:59,198 - mmseg - INFO - Iter [3500/38400] lr: 1.343e-03, eta: 1:10:06, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2563, decode.loss_grad: 0.0000, loss: 0.2563, grad_norm: 0.1073 2024-01-03 21:11:04,710 - mmseg - INFO - Iter [3550/38400] lr: 1.361e-03, eta: 1:09:55, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2568, decode.loss_grad: 0.0000, loss: 0.2568, grad_norm: 0.1072 2024-01-03 21:11:10,205 - mmseg - INFO - Iter [3600/38400] lr: 1.379e-03, eta: 1:09:44, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2548, decode.loss_grad: 0.0000, loss: 0.2548, grad_norm: 0.1115 2024-01-03 21:11:15,758 - mmseg - INFO - Iter [3650/38400] lr: 1.397e-03, eta: 1:09:33, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2506, decode.loss_grad: 0.0000, loss: 0.2506, grad_norm: 0.1168 2024-01-03 21:11:21,320 - mmseg - INFO - Iter [3700/38400] lr: 1.416e-03, eta: 1:09:23, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2564, decode.loss_grad: 0.0000, loss: 0.2564, grad_norm: 0.1159 2024-01-03 21:11:26,850 - mmseg - INFO - Iter [3750/38400] lr: 1.434e-03, eta: 1:09:13, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2538, decode.loss_grad: 0.0000, loss: 0.2538, grad_norm: 0.1185 2024-01-03 21:11:32,360 - mmseg - INFO - Iter [3800/38400] lr: 1.452e-03, eta: 1:09:02, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2544, decode.loss_grad: 0.0000, loss: 0.2544, grad_norm: 0.1151 2024-01-03 21:11:37,943 - mmseg - INFO - Iter [3850/38400] lr: 1.470e-03, eta: 1:08:53, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2547, decode.loss_grad: 0.0000, loss: 0.2547, grad_norm: 0.1248 2024-01-03 21:11:43,457 - mmseg - INFO - Iter [3900/38400] lr: 1.488e-03, eta: 1:08:43, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2531, decode.loss_grad: 0.0000, loss: 0.2531, grad_norm: 0.1180 2024-01-03 21:11:48,998 - mmseg - INFO - Iter [3950/38400] lr: 1.506e-03, eta: 1:08:33, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2538, decode.loss_grad: 0.0000, loss: 0.2538, grad_norm: 0.1206 2024-01-03 21:11:54,577 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:11:54,577 - mmseg - INFO - Iter [4000/38400] lr: 1.524e-03, eta: 1:08:24, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2477, decode.loss_grad: 0.0000, loss: 0.2477, grad_norm: 0.1145 2024-01-03 21:12:00,127 - mmseg - INFO - Iter [4050/38400] lr: 1.542e-03, eta: 1:08:14, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2476, decode.loss_grad: 0.0000, loss: 0.2476, grad_norm: 0.1130 2024-01-03 21:12:05,680 - mmseg - INFO - Iter [4100/38400] lr: 1.560e-03, eta: 1:08:05, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2494, decode.loss_grad: 0.0000, loss: 0.2494, grad_norm: 0.1175 2024-01-03 21:12:11,244 - mmseg - INFO - Iter [4150/38400] lr: 1.578e-03, eta: 1:07:56, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2583, decode.loss_grad: 0.0000, loss: 0.2583, grad_norm: 0.1138 2024-01-03 21:12:16,734 - mmseg - INFO - Iter [4200/38400] lr: 1.596e-03, eta: 1:07:46, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2569, decode.loss_grad: 0.0000, loss: 0.2569, grad_norm: 0.1078 2024-01-03 21:12:22,299 - mmseg - INFO - Iter [4250/38400] lr: 1.613e-03, eta: 1:07:37, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2455, decode.loss_grad: 0.0000, loss: 0.2455, grad_norm: 0.1184 2024-01-03 21:12:27,847 - mmseg - INFO - Iter [4300/38400] lr: 1.631e-03, eta: 1:07:28, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2441, decode.loss_grad: 0.0000, loss: 0.2441, grad_norm: 0.1080 2024-01-03 21:12:33,332 - mmseg - INFO - Iter [4350/38400] lr: 1.649e-03, eta: 1:07:18, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2469, decode.loss_grad: 0.0000, loss: 0.2469, grad_norm: 0.1145 2024-01-03 21:12:38,895 - mmseg - INFO - Iter [4400/38400] lr: 1.666e-03, eta: 1:07:10, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2478, decode.loss_grad: 0.0000, loss: 0.2478, grad_norm: 0.1057 2024-01-03 21:12:44,464 - mmseg - INFO - Iter [4450/38400] lr: 1.684e-03, eta: 1:07:01, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2515, decode.loss_grad: 0.0000, loss: 0.2515, grad_norm: 0.1132 2024-01-03 21:12:50,025 - mmseg - INFO - Iter [4500/38400] lr: 1.702e-03, eta: 1:06:52, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2477, decode.loss_grad: 0.0000, loss: 0.2477, grad_norm: 0.1071 2024-01-03 21:12:57,730 - mmseg - INFO - Iter [4550/38400] lr: 1.719e-03, eta: 1:07:00, time: 0.154, data_time: 0.046, memory: 805, decode.loss_depth: 0.2421, decode.loss_grad: 0.0000, loss: 0.2421, grad_norm: 0.1154 2024-01-03 21:13:03,248 - mmseg - INFO - Iter [4600/38400] lr: 1.737e-03, eta: 1:06:51, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2443, decode.loss_grad: 0.0000, loss: 0.2443, grad_norm: 0.1078 2024-01-03 21:13:08,729 - mmseg - INFO - Iter [4650/38400] lr: 1.754e-03, eta: 1:06:41, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2516, decode.loss_grad: 0.0000, loss: 0.2516, grad_norm: 0.1220 2024-01-03 21:13:14,255 - mmseg - INFO - Iter [4700/38400] lr: 1.772e-03, eta: 1:06:33, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2478, decode.loss_grad: 0.0000, loss: 0.2478, grad_norm: 0.1156 2024-01-03 21:13:19,769 - mmseg - INFO - Iter [4750/38400] lr: 1.789e-03, eta: 1:06:24, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2458, decode.loss_grad: 0.0000, loss: 0.2458, grad_norm: 0.1084 2024-01-03 21:13:25,334 - mmseg - INFO - Saving checkpoint at 4800 iterations 2024-01-03 21:13:25,378 - mmseg - INFO - Iter [4800/38400] lr: 1.806e-03, eta: 1:06:16, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2480, decode.loss_grad: 0.0000, loss: 0.2480, grad_norm: 0.1233 2024-01-03 21:13:30,923 - mmseg - INFO - Iter [4850/38400] lr: 1.824e-03, eta: 1:06:07, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2493, decode.loss_grad: 0.0000, loss: 0.2493, grad_norm: 0.1189 2024-01-03 21:13:36,420 - mmseg - INFO - Iter [4900/38400] lr: 1.841e-03, eta: 1:05:58, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2459, decode.loss_grad: 0.0000, loss: 0.2459, grad_norm: 0.1041 2024-01-03 21:13:41,916 - mmseg - INFO - Iter [4950/38400] lr: 1.858e-03, eta: 1:05:50, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2421, decode.loss_grad: 0.0000, loss: 0.2421, grad_norm: 0.1055 2024-01-03 21:13:47,484 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:13:47,485 - mmseg - INFO - Iter [5000/38400] lr: 1.875e-03, eta: 1:05:42, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2490, decode.loss_grad: 0.0000, loss: 0.2490, grad_norm: 0.1131 2024-01-03 21:13:53,055 - mmseg - INFO - Iter [5050/38400] lr: 1.892e-03, eta: 1:05:33, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2343, decode.loss_grad: 0.0000, loss: 0.2343, grad_norm: 0.0995 2024-01-03 21:13:58,634 - mmseg - INFO - Iter [5100/38400] lr: 1.909e-03, eta: 1:05:25, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2441, decode.loss_grad: 0.0000, loss: 0.2441, grad_norm: 0.1042 2024-01-03 21:14:04,195 - mmseg - INFO - Iter [5150/38400] lr: 1.926e-03, eta: 1:05:17, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2415, decode.loss_grad: 0.0000, loss: 0.2415, grad_norm: 0.1087 2024-01-03 21:14:09,723 - mmseg - INFO - Iter [5200/38400] lr: 1.943e-03, eta: 1:05:09, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2497, decode.loss_grad: 0.0000, loss: 0.2497, grad_norm: 0.1098 2024-01-03 21:14:15,266 - mmseg - INFO - Iter [5250/38400] lr: 1.960e-03, eta: 1:05:01, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2481, decode.loss_grad: 0.0000, loss: 0.2481, grad_norm: 0.1087 2024-01-03 21:14:20,833 - mmseg - INFO - Iter [5300/38400] lr: 1.977e-03, eta: 1:04:53, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2500, decode.loss_grad: 0.0000, loss: 0.2500, grad_norm: 0.1135 2024-01-03 21:14:26,353 - mmseg - INFO - Iter [5350/38400] lr: 1.994e-03, eta: 1:04:45, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2452, decode.loss_grad: 0.0000, loss: 0.2452, grad_norm: 0.1018 2024-01-03 21:14:31,846 - mmseg - INFO - Iter [5400/38400] lr: 2.011e-03, eta: 1:04:37, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2473, decode.loss_grad: 0.0000, loss: 0.2473, grad_norm: 0.1140 2024-01-03 21:14:37,342 - mmseg - INFO - Iter [5450/38400] lr: 2.027e-03, eta: 1:04:29, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2383, decode.loss_grad: 0.0000, loss: 0.2383, grad_norm: 0.1015 2024-01-03 21:14:42,895 - mmseg - INFO - Iter [5500/38400] lr: 2.044e-03, eta: 1:04:21, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2416, decode.loss_grad: 0.0000, loss: 0.2416, grad_norm: 0.1076 2024-01-03 21:14:48,436 - mmseg - INFO - Iter [5550/38400] lr: 2.060e-03, eta: 1:04:13, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2416, decode.loss_grad: 0.0000, loss: 0.2416, grad_norm: 0.1075 2024-01-03 21:14:53,963 - mmseg - INFO - Iter [5600/38400] lr: 2.077e-03, eta: 1:04:05, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2458, decode.loss_grad: 0.0000, loss: 0.2458, grad_norm: 0.1078 2024-01-03 21:14:59,489 - mmseg - INFO - Iter [5650/38400] lr: 2.094e-03, eta: 1:03:57, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2377, decode.loss_grad: 0.0000, loss: 0.2377, grad_norm: 0.1047 2024-01-03 21:15:05,008 - mmseg - INFO - Iter [5700/38400] lr: 2.110e-03, eta: 1:03:50, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2426, decode.loss_grad: 0.0000, loss: 0.2426, grad_norm: 0.1072 2024-01-03 21:15:10,484 - mmseg - INFO - Iter [5750/38400] lr: 2.126e-03, eta: 1:03:42, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2463, decode.loss_grad: 0.0000, loss: 0.2463, grad_norm: 0.0969 2024-01-03 21:15:16,027 - mmseg - INFO - Iter [5800/38400] lr: 2.143e-03, eta: 1:03:34, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2433, decode.loss_grad: 0.0000, loss: 0.2433, grad_norm: 0.1065 2024-01-03 21:15:21,577 - mmseg - INFO - Iter [5850/38400] lr: 2.159e-03, eta: 1:03:27, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2427, decode.loss_grad: 0.0000, loss: 0.2427, grad_norm: 0.1025 2024-01-03 21:15:27,116 - mmseg - INFO - Iter [5900/38400] lr: 2.175e-03, eta: 1:03:19, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2421, decode.loss_grad: 0.0000, loss: 0.2421, grad_norm: 0.0980 2024-01-03 21:15:32,710 - mmseg - INFO - Iter [5950/38400] lr: 2.191e-03, eta: 1:03:12, time: 0.112, data_time: 0.004, memory: 805, decode.loss_depth: 0.2381, decode.loss_grad: 0.0000, loss: 0.2381, grad_norm: 0.0996 2024-01-03 21:15:38,226 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:15:38,227 - mmseg - INFO - Iter [6000/38400] lr: 2.208e-03, eta: 1:03:04, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2407, decode.loss_grad: 0.0000, loss: 0.2407, grad_norm: 0.1062 2024-01-03 21:15:43,791 - mmseg - INFO - Iter [6050/38400] lr: 2.224e-03, eta: 1:02:57, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2356, decode.loss_grad: 0.0000, loss: 0.2356, grad_norm: 0.1016 2024-01-03 21:15:51,475 - mmseg - INFO - Iter [6100/38400] lr: 2.240e-03, eta: 1:03:01, time: 0.154, data_time: 0.046, memory: 805, decode.loss_depth: 0.2404, decode.loss_grad: 0.0000, loss: 0.2404, grad_norm: 0.0993 2024-01-03 21:15:56,980 - mmseg - INFO - Iter [6150/38400] lr: 2.256e-03, eta: 1:02:53, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2422, decode.loss_grad: 0.0000, loss: 0.2422, grad_norm: 0.1107 2024-01-03 21:16:02,504 - mmseg - INFO - Iter [6200/38400] lr: 2.272e-03, eta: 1:02:46, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2375, decode.loss_grad: 0.0000, loss: 0.2375, grad_norm: 0.1080 2024-01-03 21:16:08,025 - mmseg - INFO - Iter [6250/38400] lr: 2.287e-03, eta: 1:02:38, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2389, decode.loss_grad: 0.0000, loss: 0.2389, grad_norm: 0.0966 2024-01-03 21:16:13,552 - mmseg - INFO - Iter [6300/38400] lr: 2.303e-03, eta: 1:02:31, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2347, decode.loss_grad: 0.0000, loss: 0.2347, grad_norm: 0.0961 2024-01-03 21:16:19,106 - mmseg - INFO - Iter [6350/38400] lr: 2.319e-03, eta: 1:02:23, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2352, decode.loss_grad: 0.0000, loss: 0.2352, grad_norm: 0.1000 2024-01-03 21:16:24,595 - mmseg - INFO - Saving checkpoint at 6400 iterations 2024-01-03 21:16:24,620 - mmseg - INFO - Iter [6400/38400] lr: 2.335e-03, eta: 1:02:16, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2359, decode.loss_grad: 0.0000, loss: 0.2359, grad_norm: 0.0987 2024-01-03 21:16:34,348 - mmseg - INFO - Summary: 2024-01-03 21:16:34,349 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+--------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+--------+--------+ | 0.5826 | 0.8522 | 0.9507 | 0.2904 | 0.7711 | 0.1042 | 0.2898 | 20.746 | 0.3087 | +--------+--------+--------+---------+--------+--------+----------+--------+--------+ 2024-01-03 21:16:34,352 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/voc10k_distilled/vit_base_patch16_224.mae/best_abs_rel_iter_3200.pth was removed 2024-01-03 21:16:34,369 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_6400.pth. 2024-01-03 21:16:34,369 - mmseg - INFO - Best abs_rel is 0.2904 at 6400 iter. 2024-01-03 21:16:34,370 - mmseg - INFO - Iter(val) [82] a1: 0.5826, a2: 0.8522, a3: 0.9507, abs_rel: 0.2903766334056854, rmse: 0.7710955142974854, log_10: 0.10416765511035919, rmse_log: 0.28979721665382385, silog: 20.7460, sq_rel: 0.3086717128753662 2024-01-03 21:16:39,910 - mmseg - INFO - Iter [6450/38400] lr: 2.350e-03, eta: 1:02:57, time: 0.306, data_time: 0.199, memory: 805, decode.loss_depth: 0.2353, decode.loss_grad: 0.0000, loss: 0.2353, grad_norm: 0.0893 2024-01-03 21:16:45,448 - mmseg - INFO - Iter [6500/38400] lr: 2.366e-03, eta: 1:02:49, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2383, decode.loss_grad: 0.0000, loss: 0.2383, grad_norm: 0.1161 2024-01-03 21:16:50,935 - mmseg - INFO - Iter [6550/38400] lr: 2.381e-03, eta: 1:02:41, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2354, decode.loss_grad: 0.0000, loss: 0.2354, grad_norm: 0.1076 2024-01-03 21:16:56,441 - mmseg - INFO - Iter [6600/38400] lr: 2.397e-03, eta: 1:02:33, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2395, decode.loss_grad: 0.0000, loss: 0.2395, grad_norm: 0.0966 2024-01-03 21:17:01,960 - mmseg - INFO - Iter [6650/38400] lr: 2.412e-03, eta: 1:02:25, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2413, decode.loss_grad: 0.0000, loss: 0.2413, grad_norm: 0.1027 2024-01-03 21:17:07,520 - mmseg - INFO - Iter [6700/38400] lr: 2.427e-03, eta: 1:02:18, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2394, decode.loss_grad: 0.0000, loss: 0.2394, grad_norm: 0.0977 2024-01-03 21:17:13,072 - mmseg - INFO - Iter [6750/38400] lr: 2.443e-03, eta: 1:02:10, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2416, decode.loss_grad: 0.0000, loss: 0.2416, grad_norm: 0.0983 2024-01-03 21:17:18,619 - mmseg - INFO - Iter [6800/38400] lr: 2.458e-03, eta: 1:02:03, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2322, decode.loss_grad: 0.0000, loss: 0.2322, grad_norm: 0.0963 2024-01-03 21:17:24,194 - mmseg - INFO - Iter [6850/38400] lr: 2.473e-03, eta: 1:01:56, time: 0.112, data_time: 0.004, memory: 805, decode.loss_depth: 0.2422, decode.loss_grad: 0.0000, loss: 0.2422, grad_norm: 0.1096 2024-01-03 21:17:29,755 - mmseg - INFO - Iter [6900/38400] lr: 2.488e-03, eta: 1:01:48, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2393, decode.loss_grad: 0.0000, loss: 0.2393, grad_norm: 0.0946 2024-01-03 21:17:35,323 - mmseg - INFO - Iter [6950/38400] lr: 2.503e-03, eta: 1:01:41, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2422, decode.loss_grad: 0.0000, loss: 0.2422, grad_norm: 0.1031 2024-01-03 21:17:40,858 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:17:40,858 - mmseg - INFO - Iter [7000/38400] lr: 2.518e-03, eta: 1:01:33, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2384, decode.loss_grad: 0.0000, loss: 0.2384, grad_norm: 0.0989 2024-01-03 21:17:46,354 - mmseg - INFO - Iter [7050/38400] lr: 2.533e-03, eta: 1:01:26, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2413, decode.loss_grad: 0.0000, loss: 0.2413, grad_norm: 0.0972 2024-01-03 21:17:51,916 - mmseg - INFO - Iter [7100/38400] lr: 2.548e-03, eta: 1:01:19, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2362, decode.loss_grad: 0.0000, loss: 0.2362, grad_norm: 0.0986 2024-01-03 21:17:57,420 - mmseg - INFO - Iter [7150/38400] lr: 2.563e-03, eta: 1:01:11, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2351, decode.loss_grad: 0.0000, loss: 0.2351, grad_norm: 0.1022 2024-01-03 21:18:02,948 - mmseg - INFO - Iter [7200/38400] lr: 2.577e-03, eta: 1:01:04, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2399, decode.loss_grad: 0.0000, loss: 0.2399, grad_norm: 0.0977 2024-01-03 21:18:08,455 - mmseg - INFO - Iter [7250/38400] lr: 2.592e-03, eta: 1:00:56, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2452, decode.loss_grad: 0.0000, loss: 0.2452, grad_norm: 0.1022 2024-01-03 21:18:14,033 - mmseg - INFO - Iter [7300/38400] lr: 2.606e-03, eta: 1:00:49, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2405, decode.loss_grad: 0.0000, loss: 0.2405, grad_norm: 0.0998 2024-01-03 21:18:19,579 - mmseg - INFO - Iter [7350/38400] lr: 2.621e-03, eta: 1:00:42, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2358, decode.loss_grad: 0.0000, loss: 0.2358, grad_norm: 0.0954 2024-01-03 21:18:25,115 - mmseg - INFO - Iter [7400/38400] lr: 2.635e-03, eta: 1:00:35, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2415, decode.loss_grad: 0.0000, loss: 0.2415, grad_norm: 0.1012 2024-01-03 21:18:30,653 - mmseg - INFO - Iter [7450/38400] lr: 2.650e-03, eta: 1:00:27, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2404, decode.loss_grad: 0.0000, loss: 0.2404, grad_norm: 0.0985 2024-01-03 21:18:36,157 - mmseg - INFO - Iter [7500/38400] lr: 2.664e-03, eta: 1:00:20, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2309, decode.loss_grad: 0.0000, loss: 0.2309, grad_norm: 0.0935 2024-01-03 21:18:41,699 - mmseg - INFO - Iter [7550/38400] lr: 2.678e-03, eta: 1:00:13, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2343, decode.loss_grad: 0.0000, loss: 0.2343, grad_norm: 0.0998 2024-01-03 21:18:49,364 - mmseg - INFO - Iter [7600/38400] lr: 2.693e-03, eta: 1:00:14, time: 0.153, data_time: 0.046, memory: 805, decode.loss_depth: 0.2322, decode.loss_grad: 0.0000, loss: 0.2322, grad_norm: 0.0963 2024-01-03 21:18:54,887 - mmseg - INFO - Iter [7650/38400] lr: 2.707e-03, eta: 1:00:07, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2258, decode.loss_grad: 0.0000, loss: 0.2258, grad_norm: 0.1048 2024-01-03 21:19:00,470 - mmseg - INFO - Iter [7700/38400] lr: 2.721e-03, eta: 1:00:00, time: 0.112, data_time: 0.004, memory: 805, decode.loss_depth: 0.2363, decode.loss_grad: 0.0000, loss: 0.2363, grad_norm: 0.1023 2024-01-03 21:19:06,062 - mmseg - INFO - Iter [7750/38400] lr: 2.735e-03, eta: 0:59:53, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2314, decode.loss_grad: 0.0000, loss: 0.2314, grad_norm: 0.0985 2024-01-03 21:19:11,537 - mmseg - INFO - Iter [7800/38400] lr: 2.749e-03, eta: 0:59:46, time: 0.109, data_time: 0.004, memory: 805, decode.loss_depth: 0.2334, decode.loss_grad: 0.0000, loss: 0.2334, grad_norm: 0.0917 2024-01-03 21:19:17,032 - mmseg - INFO - Iter [7850/38400] lr: 2.762e-03, eta: 0:59:39, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2355, decode.loss_grad: 0.0000, loss: 0.2355, grad_norm: 0.0940 2024-01-03 21:19:22,595 - mmseg - INFO - Iter [7900/38400] lr: 2.776e-03, eta: 0:59:32, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2323, decode.loss_grad: 0.0000, loss: 0.2323, grad_norm: 0.0971 2024-01-03 21:19:28,132 - mmseg - INFO - Iter [7950/38400] lr: 2.790e-03, eta: 0:59:24, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2362, decode.loss_grad: 0.0000, loss: 0.2362, grad_norm: 0.1023 2024-01-03 21:19:33,728 - mmseg - INFO - Saving checkpoint at 8000 iterations 2024-01-03 21:19:33,750 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:19:33,764 - mmseg - INFO - Iter [8000/38400] lr: 2.804e-03, eta: 0:59:18, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2326, decode.loss_grad: 0.0000, loss: 0.2326, grad_norm: 0.0919 2024-01-03 21:19:39,341 - mmseg - INFO - Iter [8050/38400] lr: 2.817e-03, eta: 0:59:11, time: 0.112, data_time: 0.004, memory: 805, decode.loss_depth: 0.2312, decode.loss_grad: 0.0000, loss: 0.2312, grad_norm: 0.0969 2024-01-03 21:19:44,879 - mmseg - INFO - Iter [8100/38400] lr: 2.831e-03, eta: 0:59:04, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2328, decode.loss_grad: 0.0000, loss: 0.2328, grad_norm: 0.1004 2024-01-03 21:19:50,380 - mmseg - INFO - Iter [8150/38400] lr: 2.844e-03, eta: 0:58:57, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2332, decode.loss_grad: 0.0000, loss: 0.2332, grad_norm: 0.0885 2024-01-03 21:19:55,886 - mmseg - INFO - Iter [8200/38400] lr: 2.857e-03, eta: 0:58:50, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2372, decode.loss_grad: 0.0000, loss: 0.2372, grad_norm: 0.0921 2024-01-03 21:20:01,421 - mmseg - INFO - Iter [8250/38400] lr: 2.871e-03, eta: 0:58:43, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2338, decode.loss_grad: 0.0000, loss: 0.2338, grad_norm: 0.0990 2024-01-03 21:20:07,001 - mmseg - INFO - Iter [8300/38400] lr: 2.884e-03, eta: 0:58:36, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2336, decode.loss_grad: 0.0000, loss: 0.2336, grad_norm: 0.0924 2024-01-03 21:20:12,507 - mmseg - INFO - Iter [8350/38400] lr: 2.897e-03, eta: 0:58:29, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2281, decode.loss_grad: 0.0000, loss: 0.2281, grad_norm: 0.0912 2024-01-03 21:20:18,051 - mmseg - INFO - Iter [8400/38400] lr: 2.910e-03, eta: 0:58:22, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2331, decode.loss_grad: 0.0000, loss: 0.2331, grad_norm: 0.0989 2024-01-03 21:20:23,612 - mmseg - INFO - Iter [8450/38400] lr: 2.923e-03, eta: 0:58:15, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2322, decode.loss_grad: 0.0000, loss: 0.2322, grad_norm: 0.0937 2024-01-03 21:20:29,163 - mmseg - INFO - Iter [8500/38400] lr: 2.936e-03, eta: 0:58:08, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2375, decode.loss_grad: 0.0000, loss: 0.2375, grad_norm: 0.0970 2024-01-03 21:20:34,711 - mmseg - INFO - Iter [8550/38400] lr: 2.949e-03, eta: 0:58:01, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2374, decode.loss_grad: 0.0000, loss: 0.2374, grad_norm: 0.0989 2024-01-03 21:20:40,273 - mmseg - INFO - Iter [8600/38400] lr: 2.962e-03, eta: 0:57:55, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2314, decode.loss_grad: 0.0000, loss: 0.2314, grad_norm: 0.0925 2024-01-03 21:20:45,837 - mmseg - INFO - Iter [8650/38400] lr: 2.974e-03, eta: 0:57:48, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2321, decode.loss_grad: 0.0000, loss: 0.2321, grad_norm: 0.0939 2024-01-03 21:20:51,366 - mmseg - INFO - Iter [8700/38400] lr: 2.987e-03, eta: 0:57:41, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2393, decode.loss_grad: 0.0000, loss: 0.2393, grad_norm: 0.0979 2024-01-03 21:20:56,883 - mmseg - INFO - Iter [8750/38400] lr: 3.000e-03, eta: 0:57:34, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2316, decode.loss_grad: 0.0000, loss: 0.2316, grad_norm: 0.0977 2024-01-03 21:21:02,410 - mmseg - INFO - Iter [8800/38400] lr: 3.012e-03, eta: 0:57:27, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2308, decode.loss_grad: 0.0000, loss: 0.2308, grad_norm: 0.1025 2024-01-03 21:21:08,001 - mmseg - INFO - Iter [8850/38400] lr: 3.025e-03, eta: 0:57:21, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2267, decode.loss_grad: 0.0000, loss: 0.2267, grad_norm: 0.0984 2024-01-03 21:21:13,585 - mmseg - INFO - Iter [8900/38400] lr: 3.037e-03, eta: 0:57:14, time: 0.112, data_time: 0.004, memory: 805, decode.loss_depth: 0.2294, decode.loss_grad: 0.0000, loss: 0.2294, grad_norm: 0.1007 2024-01-03 21:21:19,139 - mmseg - INFO - Iter [8950/38400] lr: 3.049e-03, eta: 0:57:07, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2277, decode.loss_grad: 0.0000, loss: 0.2277, grad_norm: 0.0977 2024-01-03 21:21:24,721 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:21:24,721 - mmseg - INFO - Iter [9000/38400] lr: 3.061e-03, eta: 0:57:01, time: 0.112, data_time: 0.004, memory: 805, decode.loss_depth: 0.2356, decode.loss_grad: 0.0000, loss: 0.2356, grad_norm: 0.1020 2024-01-03 21:21:30,271 - mmseg - INFO - Iter [9050/38400] lr: 3.073e-03, eta: 0:56:54, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2264, decode.loss_grad: 0.0000, loss: 0.2264, grad_norm: 0.0879 2024-01-03 21:21:37,994 - mmseg - INFO - Iter [9100/38400] lr: 3.085e-03, eta: 0:56:54, time: 0.154, data_time: 0.047, memory: 805, decode.loss_depth: 0.2323, decode.loss_grad: 0.0000, loss: 0.2323, grad_norm: 0.0946 2024-01-03 21:21:43,550 - mmseg - INFO - Iter [9150/38400] lr: 3.097e-03, eta: 0:56:48, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2285, decode.loss_grad: 0.0000, loss: 0.2285, grad_norm: 0.0901 2024-01-03 21:21:49,075 - mmseg - INFO - Iter [9200/38400] lr: 3.109e-03, eta: 0:56:41, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2268, decode.loss_grad: 0.0000, loss: 0.2268, grad_norm: 0.0936 2024-01-03 21:21:54,564 - mmseg - INFO - Iter [9250/38400] lr: 3.121e-03, eta: 0:56:34, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2314, decode.loss_grad: 0.0000, loss: 0.2314, grad_norm: 0.0919 2024-01-03 21:22:00,077 - mmseg - INFO - Iter [9300/38400] lr: 3.133e-03, eta: 0:56:27, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2261, decode.loss_grad: 0.0000, loss: 0.2261, grad_norm: 0.0939 2024-01-03 21:22:05,634 - mmseg - INFO - Iter [9350/38400] lr: 3.145e-03, eta: 0:56:21, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2233, decode.loss_grad: 0.0000, loss: 0.2233, grad_norm: 0.0866 2024-01-03 21:22:11,196 - mmseg - INFO - Iter [9400/38400] lr: 3.156e-03, eta: 0:56:14, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2319, decode.loss_grad: 0.0000, loss: 0.2319, grad_norm: 0.0914 2024-01-03 21:22:16,751 - mmseg - INFO - Iter [9450/38400] lr: 3.168e-03, eta: 0:56:07, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2244, decode.loss_grad: 0.0000, loss: 0.2244, grad_norm: 0.0889 2024-01-03 21:22:22,308 - mmseg - INFO - Iter [9500/38400] lr: 3.179e-03, eta: 0:56:01, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2310, decode.loss_grad: 0.0000, loss: 0.2310, grad_norm: 0.0895 2024-01-03 21:22:27,828 - mmseg - INFO - Iter [9550/38400] lr: 3.190e-03, eta: 0:55:54, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2246, decode.loss_grad: 0.0000, loss: 0.2246, grad_norm: 0.0890 2024-01-03 21:22:33,368 - mmseg - INFO - Saving checkpoint at 9600 iterations 2024-01-03 21:22:33,394 - mmseg - INFO - Iter [9600/38400] lr: 3.202e-03, eta: 0:55:48, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2329, decode.loss_grad: 0.0000, loss: 0.2329, grad_norm: 0.0994 2024-01-03 21:22:43,110 - mmseg - INFO - Summary: 2024-01-03 21:22:43,112 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.5408 | 0.8315 | 0.9429 | 0.3212 | 0.8395 | 0.1122 | 0.3074 | 20.3149 | 0.3732 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 21:22:43,113 - mmseg - INFO - Iter(val) [82] a1: 0.5408, a2: 0.8315, a3: 0.9429, abs_rel: 0.3211574852466583, rmse: 0.8395350575447083, log_10: 0.11224435269832611, rmse_log: 0.3073779344558716, silog: 20.3149, sq_rel: 0.37319839000701904 2024-01-03 21:22:48,658 - mmseg - INFO - Iter [9650/38400] lr: 3.213e-03, eta: 0:56:10, time: 0.305, data_time: 0.198, memory: 805, decode.loss_depth: 0.2321, decode.loss_grad: 0.0000, loss: 0.2321, grad_norm: 0.0967 2024-01-03 21:22:54,188 - mmseg - INFO - Iter [9700/38400] lr: 3.224e-03, eta: 0:56:03, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2294, decode.loss_grad: 0.0000, loss: 0.2294, grad_norm: 0.0919 2024-01-03 21:22:59,742 - mmseg - INFO - Iter [9750/38400] lr: 3.235e-03, eta: 0:55:56, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2272, decode.loss_grad: 0.0000, loss: 0.2272, grad_norm: 0.0924 2024-01-03 21:23:05,288 - mmseg - INFO - Iter [9800/38400] lr: 3.246e-03, eta: 0:55:50, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2251, decode.loss_grad: 0.0000, loss: 0.2251, grad_norm: 0.0917 2024-01-03 21:23:10,784 - mmseg - INFO - Iter [9850/38400] lr: 3.257e-03, eta: 0:55:43, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2325, decode.loss_grad: 0.0000, loss: 0.2325, grad_norm: 0.0908 2024-01-03 21:23:16,296 - mmseg - INFO - Iter [9900/38400] lr: 3.268e-03, eta: 0:55:36, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2265, decode.loss_grad: 0.0000, loss: 0.2265, grad_norm: 0.0912 2024-01-03 21:23:21,839 - mmseg - INFO - Iter [9950/38400] lr: 3.278e-03, eta: 0:55:29, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2321, decode.loss_grad: 0.0000, loss: 0.2321, grad_norm: 0.0898 2024-01-03 21:23:27,385 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:23:27,385 - mmseg - INFO - Iter [10000/38400] lr: 3.289e-03, eta: 0:55:22, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2268, decode.loss_grad: 0.0000, loss: 0.2268, grad_norm: 0.0898 2024-01-03 21:23:33,014 - mmseg - INFO - Iter [10050/38400] lr: 3.300e-03, eta: 0:55:16, time: 0.113, data_time: 0.004, memory: 805, decode.loss_depth: 0.2343, decode.loss_grad: 0.0000, loss: 0.2343, grad_norm: 0.0949 2024-01-03 21:23:38,590 - mmseg - INFO - Iter [10100/38400] lr: 3.310e-03, eta: 0:55:09, time: 0.112, data_time: 0.004, memory: 805, decode.loss_depth: 0.2221, decode.loss_grad: 0.0000, loss: 0.2221, grad_norm: 0.0909 2024-01-03 21:23:44,087 - mmseg - INFO - Iter [10150/38400] lr: 3.320e-03, eta: 0:55:02, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2247, decode.loss_grad: 0.0000, loss: 0.2247, grad_norm: 0.0985 2024-01-03 21:23:49,590 - mmseg - INFO - Iter [10200/38400] lr: 3.331e-03, eta: 0:54:56, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2288, decode.loss_grad: 0.0000, loss: 0.2288, grad_norm: 0.0905 2024-01-03 21:23:55,097 - mmseg - INFO - Iter [10250/38400] lr: 3.341e-03, eta: 0:54:49, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2348, decode.loss_grad: 0.0000, loss: 0.2348, grad_norm: 0.0978 2024-01-03 21:24:00,635 - mmseg - INFO - Iter [10300/38400] lr: 3.351e-03, eta: 0:54:42, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2201, decode.loss_grad: 0.0000, loss: 0.2201, grad_norm: 0.0874 2024-01-03 21:24:06,216 - mmseg - INFO - Iter [10350/38400] lr: 3.361e-03, eta: 0:54:36, time: 0.112, data_time: 0.004, memory: 805, decode.loss_depth: 0.2306, decode.loss_grad: 0.0000, loss: 0.2306, grad_norm: 0.0899 2024-01-03 21:24:11,733 - mmseg - INFO - Iter [10400/38400] lr: 3.371e-03, eta: 0:54:29, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2266, decode.loss_grad: 0.0000, loss: 0.2266, grad_norm: 0.0894 2024-01-03 21:24:17,265 - mmseg - INFO - Iter [10450/38400] lr: 3.381e-03, eta: 0:54:22, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2270, decode.loss_grad: 0.0000, loss: 0.2270, grad_norm: 0.0947 2024-01-03 21:24:22,808 - mmseg - INFO - Iter [10500/38400] lr: 3.391e-03, eta: 0:54:16, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2262, decode.loss_grad: 0.0000, loss: 0.2262, grad_norm: 0.0827 2024-01-03 21:24:28,288 - mmseg - INFO - Iter [10550/38400] lr: 3.401e-03, eta: 0:54:09, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2273, decode.loss_grad: 0.0000, loss: 0.2273, grad_norm: 0.0877 2024-01-03 21:24:36,028 - mmseg - INFO - Iter [10600/38400] lr: 3.410e-03, eta: 0:54:08, time: 0.155, data_time: 0.046, memory: 805, decode.loss_depth: 0.2283, decode.loss_grad: 0.0000, loss: 0.2283, grad_norm: 0.0913 2024-01-03 21:24:41,529 - mmseg - INFO - Iter [10650/38400] lr: 3.420e-03, eta: 0:54:01, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2250, decode.loss_grad: 0.0000, loss: 0.2250, grad_norm: 0.0920 2024-01-03 21:24:47,035 - mmseg - INFO - Iter [10700/38400] lr: 3.429e-03, eta: 0:53:55, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2320, decode.loss_grad: 0.0000, loss: 0.2320, grad_norm: 0.0882 2024-01-03 21:24:52,560 - mmseg - INFO - Iter [10750/38400] lr: 3.439e-03, eta: 0:53:48, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2282, decode.loss_grad: 0.0000, loss: 0.2282, grad_norm: 0.0950 2024-01-03 21:24:58,054 - mmseg - INFO - Iter [10800/38400] lr: 3.448e-03, eta: 0:53:41, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2228, decode.loss_grad: 0.0000, loss: 0.2228, grad_norm: 0.0793 2024-01-03 21:25:03,581 - mmseg - INFO - Iter [10850/38400] lr: 3.457e-03, eta: 0:53:35, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2240, decode.loss_grad: 0.0000, loss: 0.2240, grad_norm: 0.0890 2024-01-03 21:25:09,108 - mmseg - INFO - Iter [10900/38400] lr: 3.466e-03, eta: 0:53:28, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2222, decode.loss_grad: 0.0000, loss: 0.2222, grad_norm: 0.0833 2024-01-03 21:25:14,651 - mmseg - INFO - Iter [10950/38400] lr: 3.475e-03, eta: 0:53:21, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2265, decode.loss_grad: 0.0000, loss: 0.2265, grad_norm: 0.0858 2024-01-03 21:25:20,166 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:25:20,166 - mmseg - INFO - Iter [11000/38400] lr: 3.484e-03, eta: 0:53:15, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2181, decode.loss_grad: 0.0000, loss: 0.2181, grad_norm: 0.0875 2024-01-03 21:25:25,675 - mmseg - INFO - Iter [11050/38400] lr: 3.493e-03, eta: 0:53:08, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2284, decode.loss_grad: 0.0000, loss: 0.2284, grad_norm: 0.0897 2024-01-03 21:25:31,234 - mmseg - INFO - Iter [11100/38400] lr: 3.502e-03, eta: 0:53:02, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2232, decode.loss_grad: 0.0000, loss: 0.2232, grad_norm: 0.0870 2024-01-03 21:25:36,775 - mmseg - INFO - Iter [11150/38400] lr: 3.511e-03, eta: 0:52:55, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2223, decode.loss_grad: 0.0000, loss: 0.2223, grad_norm: 0.0877 2024-01-03 21:25:42,269 - mmseg - INFO - Saving checkpoint at 11200 iterations 2024-01-03 21:25:42,294 - mmseg - INFO - Iter [11200/38400] lr: 3.519e-03, eta: 0:52:49, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2202, decode.loss_grad: 0.0000, loss: 0.2202, grad_norm: 0.0815 2024-01-03 21:25:47,790 - mmseg - INFO - Iter [11250/38400] lr: 3.528e-03, eta: 0:52:42, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2185, decode.loss_grad: 0.0000, loss: 0.2185, grad_norm: 0.0847 2024-01-03 21:25:53,320 - mmseg - INFO - Iter [11300/38400] lr: 3.537e-03, eta: 0:52:35, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2314, decode.loss_grad: 0.0000, loss: 0.2314, grad_norm: 0.0866 2024-01-03 21:25:58,814 - mmseg - INFO - Iter [11350/38400] lr: 3.545e-03, eta: 0:52:29, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2217, decode.loss_grad: 0.0000, loss: 0.2217, grad_norm: 0.0853 2024-01-03 21:26:04,424 - mmseg - INFO - Iter [11400/38400] lr: 3.553e-03, eta: 0:52:22, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2183, decode.loss_grad: 0.0000, loss: 0.2183, grad_norm: 0.0847 2024-01-03 21:26:09,929 - mmseg - INFO - Iter [11450/38400] lr: 3.561e-03, eta: 0:52:16, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2273, decode.loss_grad: 0.0000, loss: 0.2273, grad_norm: 0.0860 2024-01-03 21:26:15,440 - mmseg - INFO - Iter [11500/38400] lr: 3.570e-03, eta: 0:52:09, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2304, decode.loss_grad: 0.0000, loss: 0.2304, grad_norm: 0.0872 2024-01-03 21:26:20,934 - mmseg - INFO - Iter [11550/38400] lr: 3.578e-03, eta: 0:52:03, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2223, decode.loss_grad: 0.0000, loss: 0.2223, grad_norm: 0.0875 2024-01-03 21:26:26,452 - mmseg - INFO - Iter [11600/38400] lr: 3.586e-03, eta: 0:51:56, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2213, decode.loss_grad: 0.0000, loss: 0.2213, grad_norm: 0.0860 2024-01-03 21:26:31,971 - mmseg - INFO - Iter [11650/38400] lr: 3.593e-03, eta: 0:51:50, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2223, decode.loss_grad: 0.0000, loss: 0.2223, grad_norm: 0.0886 2024-01-03 21:26:37,544 - mmseg - INFO - Iter [11700/38400] lr: 3.601e-03, eta: 0:51:43, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2260, decode.loss_grad: 0.0000, loss: 0.2260, grad_norm: 0.0959 2024-01-03 21:26:43,048 - mmseg - INFO - Iter [11750/38400] lr: 3.609e-03, eta: 0:51:37, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2235, decode.loss_grad: 0.0000, loss: 0.2235, grad_norm: 0.0902 2024-01-03 21:26:48,534 - mmseg - INFO - Iter [11800/38400] lr: 3.616e-03, eta: 0:51:30, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2233, decode.loss_grad: 0.0000, loss: 0.2233, grad_norm: 0.0853 2024-01-03 21:26:54,061 - mmseg - INFO - Iter [11850/38400] lr: 3.624e-03, eta: 0:51:24, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2211, decode.loss_grad: 0.0000, loss: 0.2211, grad_norm: 0.0789 2024-01-03 21:26:59,607 - mmseg - INFO - Iter [11900/38400] lr: 3.631e-03, eta: 0:51:18, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2285, decode.loss_grad: 0.0000, loss: 0.2285, grad_norm: 0.0821 2024-01-03 21:27:05,120 - mmseg - INFO - Iter [11950/38400] lr: 3.639e-03, eta: 0:51:11, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2233, decode.loss_grad: 0.0000, loss: 0.2233, grad_norm: 0.0870 2024-01-03 21:27:10,653 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:27:10,653 - mmseg - INFO - Iter [12000/38400] lr: 3.646e-03, eta: 0:51:05, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2227, decode.loss_grad: 0.0000, loss: 0.2227, grad_norm: 0.0903 2024-01-03 21:27:16,205 - mmseg - INFO - Iter [12050/38400] lr: 3.653e-03, eta: 0:50:58, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2276, decode.loss_grad: 0.0000, loss: 0.2276, grad_norm: 0.0838 2024-01-03 21:27:21,738 - mmseg - INFO - Iter [12100/38400] lr: 3.660e-03, eta: 0:50:52, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2259, decode.loss_grad: 0.0000, loss: 0.2259, grad_norm: 0.0833 2024-01-03 21:27:29,449 - mmseg - INFO - Iter [12150/38400] lr: 3.667e-03, eta: 0:50:50, time: 0.154, data_time: 0.048, memory: 805, decode.loss_depth: 0.2151, decode.loss_grad: 0.0000, loss: 0.2151, grad_norm: 0.0778 2024-01-03 21:27:35,021 - mmseg - INFO - Iter [12200/38400] lr: 3.674e-03, eta: 0:50:44, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2229, decode.loss_grad: 0.0000, loss: 0.2229, grad_norm: 0.0884 2024-01-03 21:27:40,558 - mmseg - INFO - Iter [12250/38400] lr: 3.681e-03, eta: 0:50:38, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2207, decode.loss_grad: 0.0000, loss: 0.2207, grad_norm: 0.0846 2024-01-03 21:27:46,161 - mmseg - INFO - Iter [12300/38400] lr: 3.688e-03, eta: 0:50:31, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2215, decode.loss_grad: 0.0000, loss: 0.2215, grad_norm: 0.0796 2024-01-03 21:27:51,708 - mmseg - INFO - Iter [12350/38400] lr: 3.694e-03, eta: 0:50:25, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2196, decode.loss_grad: 0.0000, loss: 0.2196, grad_norm: 0.0806 2024-01-03 21:27:57,244 - mmseg - INFO - Iter [12400/38400] lr: 3.701e-03, eta: 0:50:19, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2210, decode.loss_grad: 0.0000, loss: 0.2210, grad_norm: 0.0801 2024-01-03 21:28:02,758 - mmseg - INFO - Iter [12450/38400] lr: 3.707e-03, eta: 0:50:12, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2229, decode.loss_grad: 0.0000, loss: 0.2229, grad_norm: 0.0868 2024-01-03 21:28:08,325 - mmseg - INFO - Iter [12500/38400] lr: 3.714e-03, eta: 0:50:06, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2219, decode.loss_grad: 0.0000, loss: 0.2219, grad_norm: 0.0869 2024-01-03 21:28:13,838 - mmseg - INFO - Iter [12550/38400] lr: 3.720e-03, eta: 0:49:59, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2223, decode.loss_grad: 0.0000, loss: 0.2223, grad_norm: 0.0895 2024-01-03 21:28:19,304 - mmseg - INFO - Iter [12600/38400] lr: 3.726e-03, eta: 0:49:53, time: 0.109, data_time: 0.003, memory: 805, decode.loss_depth: 0.2225, decode.loss_grad: 0.0000, loss: 0.2225, grad_norm: 0.0873 2024-01-03 21:28:24,880 - mmseg - INFO - Iter [12650/38400] lr: 3.732e-03, eta: 0:49:47, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2240, decode.loss_grad: 0.0000, loss: 0.2240, grad_norm: 0.0809 2024-01-03 21:28:30,422 - mmseg - INFO - Iter [12700/38400] lr: 3.738e-03, eta: 0:49:40, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2249, decode.loss_grad: 0.0000, loss: 0.2249, grad_norm: 0.0848 2024-01-03 21:28:35,965 - mmseg - INFO - Iter [12750/38400] lr: 3.744e-03, eta: 0:49:34, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2221, decode.loss_grad: 0.0000, loss: 0.2221, grad_norm: 0.0809 2024-01-03 21:28:41,527 - mmseg - INFO - Saving checkpoint at 12800 iterations 2024-01-03 21:28:41,564 - mmseg - INFO - Iter [12800/38400] lr: 3.750e-03, eta: 0:49:28, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2221, decode.loss_grad: 0.0000, loss: 0.2221, grad_norm: 0.0830 2024-01-03 21:28:51,270 - mmseg - INFO - Summary: 2024-01-03 21:28:51,271 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.6243 | 0.8858 | 0.9669 | 0.2496 | 0.7085 | 0.0939 | 0.2625 | 19.9726 | 0.2398 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 21:28:51,274 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/voc10k_distilled/vit_base_patch16_224.mae/best_abs_rel_iter_6400.pth was removed 2024-01-03 21:28:51,292 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_12800.pth. 2024-01-03 21:28:51,292 - mmseg - INFO - Best abs_rel is 0.2496 at 12800 iter. 2024-01-03 21:28:51,293 - mmseg - INFO - Iter(val) [82] a1: 0.6243, a2: 0.8858, a3: 0.9669, abs_rel: 0.24959774315357208, rmse: 0.708541214466095, log_10: 0.09390399605035782, rmse_log: 0.2624626159667969, silog: 19.9726, sq_rel: 0.2398175150156021 2024-01-03 21:28:56,827 - mmseg - INFO - Iter [12850/38400] lr: 3.741e-03, eta: 0:49:41, time: 0.305, data_time: 0.198, memory: 805, decode.loss_depth: 0.2211, decode.loss_grad: 0.0000, loss: 0.2211, grad_norm: 0.0895 2024-01-03 21:29:02,373 - mmseg - INFO - Iter [12900/38400] lr: 3.732e-03, eta: 0:49:34, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2223, decode.loss_grad: 0.0000, loss: 0.2223, grad_norm: 0.0887 2024-01-03 21:29:07,888 - mmseg - INFO - Iter [12950/38400] lr: 3.724e-03, eta: 0:49:28, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2165, decode.loss_grad: 0.0000, loss: 0.2165, grad_norm: 0.0796 2024-01-03 21:29:13,451 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:29:13,451 - mmseg - INFO - Iter [13000/38400] lr: 3.715e-03, eta: 0:49:22, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2222, decode.loss_grad: 0.0000, loss: 0.2222, grad_norm: 0.0865 2024-01-03 21:29:18,952 - mmseg - INFO - Iter [13050/38400] lr: 3.706e-03, eta: 0:49:15, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2177, decode.loss_grad: 0.0000, loss: 0.2177, grad_norm: 0.0817 2024-01-03 21:29:24,540 - mmseg - INFO - Iter [13100/38400] lr: 3.697e-03, eta: 0:49:09, time: 0.112, data_time: 0.004, memory: 805, decode.loss_depth: 0.2208, decode.loss_grad: 0.0000, loss: 0.2208, grad_norm: 0.0857 2024-01-03 21:29:30,068 - mmseg - INFO - Iter [13150/38400] lr: 3.688e-03, eta: 0:49:02, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2214, decode.loss_grad: 0.0000, loss: 0.2214, grad_norm: 0.0802 2024-01-03 21:29:35,608 - mmseg - INFO - Iter [13200/38400] lr: 3.679e-03, eta: 0:48:56, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2172, decode.loss_grad: 0.0000, loss: 0.2172, grad_norm: 0.0806 2024-01-03 21:29:41,119 - mmseg - INFO - Iter [13250/38400] lr: 3.670e-03, eta: 0:48:50, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2174, decode.loss_grad: 0.0000, loss: 0.2174, grad_norm: 0.0811 2024-01-03 21:29:46,606 - mmseg - INFO - Iter [13300/38400] lr: 3.661e-03, eta: 0:48:43, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2217, decode.loss_grad: 0.0000, loss: 0.2217, grad_norm: 0.0842 2024-01-03 21:29:52,156 - mmseg - INFO - Iter [13350/38400] lr: 3.652e-03, eta: 0:48:37, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2223, decode.loss_grad: 0.0000, loss: 0.2223, grad_norm: 0.0787 2024-01-03 21:29:57,619 - mmseg - INFO - Iter [13400/38400] lr: 3.642e-03, eta: 0:48:30, time: 0.109, data_time: 0.003, memory: 805, decode.loss_depth: 0.2178, decode.loss_grad: 0.0000, loss: 0.2178, grad_norm: 0.0828 2024-01-03 21:30:03,190 - mmseg - INFO - Iter [13450/38400] lr: 3.633e-03, eta: 0:48:24, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2182, decode.loss_grad: 0.0000, loss: 0.2182, grad_norm: 0.0880 2024-01-03 21:30:08,713 - mmseg - INFO - Iter [13500/38400] lr: 3.624e-03, eta: 0:48:18, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2171, decode.loss_grad: 0.0000, loss: 0.2171, grad_norm: 0.0827 2024-01-03 21:30:14,229 - mmseg - INFO - Iter [13550/38400] lr: 3.615e-03, eta: 0:48:11, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2198, decode.loss_grad: 0.0000, loss: 0.2198, grad_norm: 0.0810 2024-01-03 21:30:19,768 - mmseg - INFO - Iter [13600/38400] lr: 3.606e-03, eta: 0:48:05, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2204, decode.loss_grad: 0.0000, loss: 0.2204, grad_norm: 0.0846 2024-01-03 21:30:27,516 - mmseg - INFO - Iter [13650/38400] lr: 3.597e-03, eta: 0:48:03, time: 0.155, data_time: 0.047, memory: 805, decode.loss_depth: 0.2183, decode.loss_grad: 0.0000, loss: 0.2183, grad_norm: 0.0847 2024-01-03 21:30:33,100 - mmseg - INFO - Iter [13700/38400] lr: 3.588e-03, eta: 0:47:56, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2226, decode.loss_grad: 0.0000, loss: 0.2226, grad_norm: 0.0790 2024-01-03 21:30:38,603 - mmseg - INFO - Iter [13750/38400] lr: 3.578e-03, eta: 0:47:50, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2159, decode.loss_grad: 0.0000, loss: 0.2159, grad_norm: 0.0792 2024-01-03 21:30:44,100 - mmseg - INFO - Iter [13800/38400] lr: 3.569e-03, eta: 0:47:44, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2192, decode.loss_grad: 0.0000, loss: 0.2192, grad_norm: 0.0789 2024-01-03 21:30:49,634 - mmseg - INFO - Iter [13850/38400] lr: 3.560e-03, eta: 0:47:37, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2134, decode.loss_grad: 0.0000, loss: 0.2134, grad_norm: 0.0804 2024-01-03 21:30:55,151 - mmseg - INFO - Iter [13900/38400] lr: 3.551e-03, eta: 0:47:31, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2247, decode.loss_grad: 0.0000, loss: 0.2247, grad_norm: 0.0882 2024-01-03 21:31:00,681 - mmseg - INFO - Iter [13950/38400] lr: 3.541e-03, eta: 0:47:25, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2251, decode.loss_grad: 0.0000, loss: 0.2251, grad_norm: 0.0840 2024-01-03 21:31:06,170 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:31:06,170 - mmseg - INFO - Iter [14000/38400] lr: 3.532e-03, eta: 0:47:18, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2191, decode.loss_grad: 0.0000, loss: 0.2191, grad_norm: 0.0810 2024-01-03 21:31:11,698 - mmseg - INFO - Iter [14050/38400] lr: 3.523e-03, eta: 0:47:12, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2148, decode.loss_grad: 0.0000, loss: 0.2148, grad_norm: 0.0810 2024-01-03 21:31:17,202 - mmseg - INFO - Iter [14100/38400] lr: 3.513e-03, eta: 0:47:06, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2135, decode.loss_grad: 0.0000, loss: 0.2135, grad_norm: 0.0816 2024-01-03 21:31:22,774 - mmseg - INFO - Iter [14150/38400] lr: 3.504e-03, eta: 0:46:59, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2183, decode.loss_grad: 0.0000, loss: 0.2183, grad_norm: 0.0812 2024-01-03 21:31:28,332 - mmseg - INFO - Iter [14200/38400] lr: 3.495e-03, eta: 0:46:53, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2146, decode.loss_grad: 0.0000, loss: 0.2146, grad_norm: 0.0817 2024-01-03 21:31:33,908 - mmseg - INFO - Iter [14250/38400] lr: 3.485e-03, eta: 0:46:47, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2158, decode.loss_grad: 0.0000, loss: 0.2158, grad_norm: 0.0789 2024-01-03 21:31:39,514 - mmseg - INFO - Iter [14300/38400] lr: 3.476e-03, eta: 0:46:41, time: 0.112, data_time: 0.004, memory: 805, decode.loss_depth: 0.2195, decode.loss_grad: 0.0000, loss: 0.2195, grad_norm: 0.0788 2024-01-03 21:31:45,067 - mmseg - INFO - Iter [14350/38400] lr: 3.466e-03, eta: 0:46:34, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2130, decode.loss_grad: 0.0000, loss: 0.2130, grad_norm: 0.0818 2024-01-03 21:31:50,654 - mmseg - INFO - Saving checkpoint at 14400 iterations 2024-01-03 21:31:50,676 - mmseg - INFO - Iter [14400/38400] lr: 3.457e-03, eta: 0:46:28, time: 0.112, data_time: 0.004, memory: 805, decode.loss_depth: 0.2198, decode.loss_grad: 0.0000, loss: 0.2198, grad_norm: 0.0774 2024-01-03 21:31:56,142 - mmseg - INFO - Iter [14450/38400] lr: 3.447e-03, eta: 0:46:22, time: 0.109, data_time: 0.004, memory: 805, decode.loss_depth: 0.2226, decode.loss_grad: 0.0000, loss: 0.2226, grad_norm: 0.0792 2024-01-03 21:32:01,696 - mmseg - INFO - Iter [14500/38400] lr: 3.438e-03, eta: 0:46:16, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2131, decode.loss_grad: 0.0000, loss: 0.2131, grad_norm: 0.0779 2024-01-03 21:32:07,255 - mmseg - INFO - Iter [14550/38400] lr: 3.428e-03, eta: 0:46:09, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2167, decode.loss_grad: 0.0000, loss: 0.2167, grad_norm: 0.0771 2024-01-03 21:32:12,794 - mmseg - INFO - Iter [14600/38400] lr: 3.419e-03, eta: 0:46:03, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2186, decode.loss_grad: 0.0000, loss: 0.2186, grad_norm: 0.0771 2024-01-03 21:32:18,368 - mmseg - INFO - Iter [14650/38400] lr: 3.409e-03, eta: 0:45:57, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2113, decode.loss_grad: 0.0000, loss: 0.2113, grad_norm: 0.0801 2024-01-03 21:32:23,943 - mmseg - INFO - Iter [14700/38400] lr: 3.400e-03, eta: 0:45:51, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2185, decode.loss_grad: 0.0000, loss: 0.2185, grad_norm: 0.0848 2024-01-03 21:32:29,471 - mmseg - INFO - Iter [14750/38400] lr: 3.390e-03, eta: 0:45:45, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2219, decode.loss_grad: 0.0000, loss: 0.2219, grad_norm: 0.0832 2024-01-03 21:32:35,017 - mmseg - INFO - Iter [14800/38400] lr: 3.381e-03, eta: 0:45:38, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2183, decode.loss_grad: 0.0000, loss: 0.2183, grad_norm: 0.0878 2024-01-03 21:32:40,578 - mmseg - INFO - Iter [14850/38400] lr: 3.371e-03, eta: 0:45:32, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2152, decode.loss_grad: 0.0000, loss: 0.2152, grad_norm: 0.0772 2024-01-03 21:32:46,104 - mmseg - INFO - Iter [14900/38400] lr: 3.362e-03, eta: 0:45:26, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2161, decode.loss_grad: 0.0000, loss: 0.2161, grad_norm: 0.0811 2024-01-03 21:32:51,596 - mmseg - INFO - Iter [14950/38400] lr: 3.352e-03, eta: 0:45:20, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2178, decode.loss_grad: 0.0000, loss: 0.2178, grad_norm: 0.0792 2024-01-03 21:32:57,147 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:32:57,147 - mmseg - INFO - Iter [15000/38400] lr: 3.342e-03, eta: 0:45:13, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2101, decode.loss_grad: 0.0000, loss: 0.2101, grad_norm: 0.0807 2024-01-03 21:33:02,686 - mmseg - INFO - Iter [15050/38400] lr: 3.333e-03, eta: 0:45:07, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2162, decode.loss_grad: 0.0000, loss: 0.2162, grad_norm: 0.0820 2024-01-03 21:33:08,204 - mmseg - INFO - Iter [15100/38400] lr: 3.323e-03, eta: 0:45:01, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2138, decode.loss_grad: 0.0000, loss: 0.2138, grad_norm: 0.0844 2024-01-03 21:33:15,858 - mmseg - INFO - Iter [15150/38400] lr: 3.313e-03, eta: 0:44:58, time: 0.153, data_time: 0.047, memory: 805, decode.loss_depth: 0.2132, decode.loss_grad: 0.0000, loss: 0.2132, grad_norm: 0.0863 2024-01-03 21:33:21,423 - mmseg - INFO - Iter [15200/38400] lr: 3.304e-03, eta: 0:44:52, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2189, decode.loss_grad: 0.0000, loss: 0.2189, grad_norm: 0.0775 2024-01-03 21:33:26,921 - mmseg - INFO - Iter [15250/38400] lr: 3.294e-03, eta: 0:44:46, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2164, decode.loss_grad: 0.0000, loss: 0.2164, grad_norm: 0.0773 2024-01-03 21:33:32,421 - mmseg - INFO - Iter [15300/38400] lr: 3.284e-03, eta: 0:44:39, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2092, decode.loss_grad: 0.0000, loss: 0.2092, grad_norm: 0.0797 2024-01-03 21:33:38,014 - mmseg - INFO - Iter [15350/38400] lr: 3.275e-03, eta: 0:44:33, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2167, decode.loss_grad: 0.0000, loss: 0.2167, grad_norm: 0.0792 2024-01-03 21:33:43,580 - mmseg - INFO - Iter [15400/38400] lr: 3.265e-03, eta: 0:44:27, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2183, decode.loss_grad: 0.0000, loss: 0.2183, grad_norm: 0.0811 2024-01-03 21:33:49,095 - mmseg - INFO - Iter [15450/38400] lr: 3.255e-03, eta: 0:44:21, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2146, decode.loss_grad: 0.0000, loss: 0.2146, grad_norm: 0.0790 2024-01-03 21:33:54,677 - mmseg - INFO - Iter [15500/38400] lr: 3.245e-03, eta: 0:44:15, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2166, decode.loss_grad: 0.0000, loss: 0.2166, grad_norm: 0.0782 2024-01-03 21:34:00,191 - mmseg - INFO - Iter [15550/38400] lr: 3.236e-03, eta: 0:44:09, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2126, decode.loss_grad: 0.0000, loss: 0.2126, grad_norm: 0.0782 2024-01-03 21:34:05,706 - mmseg - INFO - Iter [15600/38400] lr: 3.226e-03, eta: 0:44:02, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2168, decode.loss_grad: 0.0000, loss: 0.2168, grad_norm: 0.0814 2024-01-03 21:34:11,263 - mmseg - INFO - Iter [15650/38400] lr: 3.216e-03, eta: 0:43:56, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2118, decode.loss_grad: 0.0000, loss: 0.2118, grad_norm: 0.0819 2024-01-03 21:34:16,775 - mmseg - INFO - Iter [15700/38400] lr: 3.206e-03, eta: 0:43:50, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2104, decode.loss_grad: 0.0000, loss: 0.2104, grad_norm: 0.0800 2024-01-03 21:34:22,320 - mmseg - INFO - Iter [15750/38400] lr: 3.196e-03, eta: 0:43:44, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2129, decode.loss_grad: 0.0000, loss: 0.2129, grad_norm: 0.0773 2024-01-03 21:34:27,871 - mmseg - INFO - Iter [15800/38400] lr: 3.187e-03, eta: 0:43:38, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2171, decode.loss_grad: 0.0000, loss: 0.2171, grad_norm: 0.0800 2024-01-03 21:34:33,367 - mmseg - INFO - Iter [15850/38400] lr: 3.177e-03, eta: 0:43:32, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2092, decode.loss_grad: 0.0000, loss: 0.2092, grad_norm: 0.0761 2024-01-03 21:34:38,926 - mmseg - INFO - Iter [15900/38400] lr: 3.167e-03, eta: 0:43:25, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2158, decode.loss_grad: 0.0000, loss: 0.2158, grad_norm: 0.0723 2024-01-03 21:34:44,457 - mmseg - INFO - Iter [15950/38400] lr: 3.157e-03, eta: 0:43:19, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2152, decode.loss_grad: 0.0000, loss: 0.2152, grad_norm: 0.0782 2024-01-03 21:34:50,029 - mmseg - INFO - Saving checkpoint at 16000 iterations 2024-01-03 21:34:50,069 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:34:50,069 - mmseg - INFO - Iter [16000/38400] lr: 3.147e-03, eta: 0:43:13, time: 0.112, data_time: 0.004, memory: 805, decode.loss_depth: 0.2163, decode.loss_grad: 0.0000, loss: 0.2163, grad_norm: 0.0752 2024-01-03 21:34:59,852 - mmseg - INFO - Summary: 2024-01-03 21:34:59,853 - mmseg - INFO - +-------+-------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +-------+-------+--------+---------+--------+--------+----------+---------+--------+ | 0.588 | 0.865 | 0.9574 | 0.2804 | 0.7715 | 0.1014 | 0.281 | 19.8509 | 0.298 | +-------+-------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 21:34:59,854 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:34:59,854 - mmseg - INFO - Iter(val) [82] a1: 0.5880, a2: 0.8650, a3: 0.9574, abs_rel: 0.2804127335548401, rmse: 0.7715293765068054, log_10: 0.10138865560293198, rmse_log: 0.2810482084751129, silog: 19.8509, sq_rel: 0.2979638874530792 2024-01-03 21:35:05,420 - mmseg - INFO - Iter [16050/38400] lr: 3.137e-03, eta: 0:43:21, time: 0.307, data_time: 0.199, memory: 805, decode.loss_depth: 0.2124, decode.loss_grad: 0.0000, loss: 0.2124, grad_norm: 0.0770 2024-01-03 21:35:10,959 - mmseg - INFO - Iter [16100/38400] lr: 3.127e-03, eta: 0:43:15, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2092, decode.loss_grad: 0.0000, loss: 0.2092, grad_norm: 0.0741 2024-01-03 21:35:16,501 - mmseg - INFO - Iter [16150/38400] lr: 3.118e-03, eta: 0:43:08, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2173, decode.loss_grad: 0.0000, loss: 0.2173, grad_norm: 0.0808 2024-01-03 21:35:22,074 - mmseg - INFO - Iter [16200/38400] lr: 3.108e-03, eta: 0:43:02, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2071, decode.loss_grad: 0.0000, loss: 0.2071, grad_norm: 0.0812 2024-01-03 21:35:27,624 - mmseg - INFO - Iter [16250/38400] lr: 3.098e-03, eta: 0:42:56, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2184, decode.loss_grad: 0.0000, loss: 0.2184, grad_norm: 0.0801 2024-01-03 21:35:33,228 - mmseg - INFO - Iter [16300/38400] lr: 3.088e-03, eta: 0:42:50, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2124, decode.loss_grad: 0.0000, loss: 0.2124, grad_norm: 0.0795 2024-01-03 21:35:38,801 - mmseg - INFO - Iter [16350/38400] lr: 3.078e-03, eta: 0:42:44, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2132, decode.loss_grad: 0.0000, loss: 0.2132, grad_norm: 0.0770 2024-01-03 21:35:44,394 - mmseg - INFO - Iter [16400/38400] lr: 3.068e-03, eta: 0:42:38, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2134, decode.loss_grad: 0.0000, loss: 0.2134, grad_norm: 0.0764 2024-01-03 21:35:49,920 - mmseg - INFO - Iter [16450/38400] lr: 3.058e-03, eta: 0:42:31, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2132, decode.loss_grad: 0.0000, loss: 0.2132, grad_norm: 0.0819 2024-01-03 21:35:55,450 - mmseg - INFO - Iter [16500/38400] lr: 3.048e-03, eta: 0:42:25, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2204, decode.loss_grad: 0.0000, loss: 0.2204, grad_norm: 0.0809 2024-01-03 21:36:01,013 - mmseg - INFO - Iter [16550/38400] lr: 3.038e-03, eta: 0:42:19, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2099, decode.loss_grad: 0.0000, loss: 0.2099, grad_norm: 0.0776 2024-01-03 21:36:06,561 - mmseg - INFO - Iter [16600/38400] lr: 3.028e-03, eta: 0:42:13, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2135, decode.loss_grad: 0.0000, loss: 0.2135, grad_norm: 0.0814 2024-01-03 21:36:12,086 - mmseg - INFO - Iter [16650/38400] lr: 3.018e-03, eta: 0:42:07, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2097, decode.loss_grad: 0.0000, loss: 0.2097, grad_norm: 0.0764 2024-01-03 21:36:19,807 - mmseg - INFO - Iter [16700/38400] lr: 3.008e-03, eta: 0:42:03, time: 0.154, data_time: 0.047, memory: 805, decode.loss_depth: 0.2123, decode.loss_grad: 0.0000, loss: 0.2123, grad_norm: 0.0786 2024-01-03 21:36:25,327 - mmseg - INFO - Iter [16750/38400] lr: 2.998e-03, eta: 0:41:57, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2139, decode.loss_grad: 0.0000, loss: 0.2139, grad_norm: 0.0761 2024-01-03 21:36:30,874 - mmseg - INFO - Iter [16800/38400] lr: 2.988e-03, eta: 0:41:51, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2137, decode.loss_grad: 0.0000, loss: 0.2137, grad_norm: 0.0787 2024-01-03 21:36:36,422 - mmseg - INFO - Iter [16850/38400] lr: 2.978e-03, eta: 0:41:45, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2120, decode.loss_grad: 0.0000, loss: 0.2120, grad_norm: 0.0750 2024-01-03 21:36:41,998 - mmseg - INFO - Iter [16900/38400] lr: 2.968e-03, eta: 0:41:39, time: 0.112, data_time: 0.004, memory: 805, decode.loss_depth: 0.2140, decode.loss_grad: 0.0000, loss: 0.2140, grad_norm: 0.0760 2024-01-03 21:36:47,591 - mmseg - INFO - Iter [16950/38400] lr: 2.958e-03, eta: 0:41:33, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2128, decode.loss_grad: 0.0000, loss: 0.2128, grad_norm: 0.0781 2024-01-03 21:36:53,078 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:36:53,079 - mmseg - INFO - Iter [17000/38400] lr: 2.948e-03, eta: 0:41:27, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2128, decode.loss_grad: 0.0000, loss: 0.2128, grad_norm: 0.0805 2024-01-03 21:36:58,591 - mmseg - INFO - Iter [17050/38400] lr: 2.938e-03, eta: 0:41:20, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2147, decode.loss_grad: 0.0000, loss: 0.2147, grad_norm: 0.0760 2024-01-03 21:37:04,226 - mmseg - INFO - Iter [17100/38400] lr: 2.928e-03, eta: 0:41:14, time: 0.113, data_time: 0.004, memory: 805, decode.loss_depth: 0.2052, decode.loss_grad: 0.0000, loss: 0.2052, grad_norm: 0.0766 2024-01-03 21:37:09,758 - mmseg - INFO - Iter [17150/38400] lr: 2.918e-03, eta: 0:41:08, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2143, decode.loss_grad: 0.0000, loss: 0.2143, grad_norm: 0.0758 2024-01-03 21:37:15,266 - mmseg - INFO - Iter [17200/38400] lr: 2.907e-03, eta: 0:41:02, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2062, decode.loss_grad: 0.0000, loss: 0.2062, grad_norm: 0.0780 2024-01-03 21:37:20,766 - mmseg - INFO - Iter [17250/38400] lr: 2.897e-03, eta: 0:40:56, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2142, decode.loss_grad: 0.0000, loss: 0.2142, grad_norm: 0.0784 2024-01-03 21:37:26,380 - mmseg - INFO - Iter [17300/38400] lr: 2.887e-03, eta: 0:40:50, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2089, decode.loss_grad: 0.0000, loss: 0.2089, grad_norm: 0.0763 2024-01-03 21:37:31,900 - mmseg - INFO - Iter [17350/38400] lr: 2.877e-03, eta: 0:40:44, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2103, decode.loss_grad: 0.0000, loss: 0.2103, grad_norm: 0.0758 2024-01-03 21:37:37,410 - mmseg - INFO - Iter [17400/38400] lr: 2.867e-03, eta: 0:40:37, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2110, decode.loss_grad: 0.0000, loss: 0.2110, grad_norm: 0.0796 2024-01-03 21:37:42,982 - mmseg - INFO - Iter [17450/38400] lr: 2.857e-03, eta: 0:40:31, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2100, decode.loss_grad: 0.0000, loss: 0.2100, grad_norm: 0.0794 2024-01-03 21:37:48,512 - mmseg - INFO - Iter [17500/38400] lr: 2.847e-03, eta: 0:40:25, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2068, decode.loss_grad: 0.0000, loss: 0.2068, grad_norm: 0.0809 2024-01-03 21:37:54,062 - mmseg - INFO - Iter [17550/38400] lr: 2.837e-03, eta: 0:40:19, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2112, decode.loss_grad: 0.0000, loss: 0.2112, grad_norm: 0.0735 2024-01-03 21:37:59,623 - mmseg - INFO - Saving checkpoint at 17600 iterations 2024-01-03 21:37:59,648 - mmseg - INFO - Iter [17600/38400] lr: 2.827e-03, eta: 0:40:13, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2167, decode.loss_grad: 0.0000, loss: 0.2167, grad_norm: 0.0748 2024-01-03 21:38:05,233 - mmseg - INFO - Iter [17650/38400] lr: 2.816e-03, eta: 0:40:07, time: 0.112, data_time: 0.004, memory: 805, decode.loss_depth: 0.2108, decode.loss_grad: 0.0000, loss: 0.2108, grad_norm: 0.0770 2024-01-03 21:38:10,727 - mmseg - INFO - Iter [17700/38400] lr: 2.806e-03, eta: 0:40:01, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2127, decode.loss_grad: 0.0000, loss: 0.2127, grad_norm: 0.0772 2024-01-03 21:38:16,296 - mmseg - INFO - Iter [17750/38400] lr: 2.796e-03, eta: 0:39:55, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2126, decode.loss_grad: 0.0000, loss: 0.2126, grad_norm: 0.0711 2024-01-03 21:38:21,880 - mmseg - INFO - Iter [17800/38400] lr: 2.786e-03, eta: 0:39:49, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2080, decode.loss_grad: 0.0000, loss: 0.2080, grad_norm: 0.0728 2024-01-03 21:38:27,369 - mmseg - INFO - Iter [17850/38400] lr: 2.776e-03, eta: 0:39:43, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2102, decode.loss_grad: 0.0000, loss: 0.2102, grad_norm: 0.0800 2024-01-03 21:38:32,853 - mmseg - INFO - Iter [17900/38400] lr: 2.766e-03, eta: 0:39:36, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2102, decode.loss_grad: 0.0000, loss: 0.2102, grad_norm: 0.0796 2024-01-03 21:38:38,369 - mmseg - INFO - Iter [17950/38400] lr: 2.755e-03, eta: 0:39:30, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2173, decode.loss_grad: 0.0000, loss: 0.2173, grad_norm: 0.0777 2024-01-03 21:38:43,891 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:38:43,891 - mmseg - INFO - Iter [18000/38400] lr: 2.745e-03, eta: 0:39:24, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2125, decode.loss_grad: 0.0000, loss: 0.2125, grad_norm: 0.0765 2024-01-03 21:38:49,422 - mmseg - INFO - Iter [18050/38400] lr: 2.735e-03, eta: 0:39:18, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2098, decode.loss_grad: 0.0000, loss: 0.2098, grad_norm: 0.0816 2024-01-03 21:38:54,955 - mmseg - INFO - Iter [18100/38400] lr: 2.725e-03, eta: 0:39:12, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2060, decode.loss_grad: 0.0000, loss: 0.2060, grad_norm: 0.0728 2024-01-03 21:39:00,463 - mmseg - INFO - Iter [18150/38400] lr: 2.715e-03, eta: 0:39:06, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2111, decode.loss_grad: 0.0000, loss: 0.2111, grad_norm: 0.0828 2024-01-03 21:39:08,175 - mmseg - INFO - Iter [18200/38400] lr: 2.705e-03, eta: 0:39:02, time: 0.154, data_time: 0.047, memory: 805, decode.loss_depth: 0.2143, decode.loss_grad: 0.0000, loss: 0.2143, grad_norm: 0.0770 2024-01-03 21:39:13,694 - mmseg - INFO - Iter [18250/38400] lr: 2.694e-03, eta: 0:38:56, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2100, decode.loss_grad: 0.0000, loss: 0.2100, grad_norm: 0.0783 2024-01-03 21:39:19,263 - mmseg - INFO - Iter [18300/38400] lr: 2.684e-03, eta: 0:38:50, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2148, decode.loss_grad: 0.0000, loss: 0.2148, grad_norm: 0.0743 2024-01-03 21:39:24,799 - mmseg - INFO - Iter [18350/38400] lr: 2.674e-03, eta: 0:38:44, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2062, decode.loss_grad: 0.0000, loss: 0.2062, grad_norm: 0.0711 2024-01-03 21:39:30,367 - mmseg - INFO - Iter [18400/38400] lr: 2.664e-03, eta: 0:38:38, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2090, decode.loss_grad: 0.0000, loss: 0.2090, grad_norm: 0.0733 2024-01-03 21:39:35,906 - mmseg - INFO - Iter [18450/38400] lr: 2.654e-03, eta: 0:38:32, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2076, decode.loss_grad: 0.0000, loss: 0.2076, grad_norm: 0.0772 2024-01-03 21:39:41,389 - mmseg - INFO - Iter [18500/38400] lr: 2.643e-03, eta: 0:38:26, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2096, decode.loss_grad: 0.0000, loss: 0.2096, grad_norm: 0.0784 2024-01-03 21:39:46,885 - mmseg - INFO - Iter [18550/38400] lr: 2.633e-03, eta: 0:38:20, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2092, decode.loss_grad: 0.0000, loss: 0.2092, grad_norm: 0.0785 2024-01-03 21:39:52,356 - mmseg - INFO - Iter [18600/38400] lr: 2.623e-03, eta: 0:38:13, time: 0.109, data_time: 0.003, memory: 805, decode.loss_depth: 0.2065, decode.loss_grad: 0.0000, loss: 0.2065, grad_norm: 0.0747 2024-01-03 21:39:57,901 - mmseg - INFO - Iter [18650/38400] lr: 2.613e-03, eta: 0:38:07, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2126, decode.loss_grad: 0.0000, loss: 0.2126, grad_norm: 0.0754 2024-01-03 21:40:03,462 - mmseg - INFO - Iter [18700/38400] lr: 2.602e-03, eta: 0:38:01, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2080, decode.loss_grad: 0.0000, loss: 0.2080, grad_norm: 0.0735 2024-01-03 21:40:09,042 - mmseg - INFO - Iter [18750/38400] lr: 2.592e-03, eta: 0:37:55, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2095, decode.loss_grad: 0.0000, loss: 0.2095, grad_norm: 0.0741 2024-01-03 21:40:14,603 - mmseg - INFO - Iter [18800/38400] lr: 2.582e-03, eta: 0:37:49, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2102, decode.loss_grad: 0.0000, loss: 0.2102, grad_norm: 0.0750 2024-01-03 21:40:20,162 - mmseg - INFO - Iter [18850/38400] lr: 2.572e-03, eta: 0:37:43, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2119, decode.loss_grad: 0.0000, loss: 0.2119, grad_norm: 0.0788 2024-01-03 21:40:25,742 - mmseg - INFO - Iter [18900/38400] lr: 2.562e-03, eta: 0:37:37, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2127, decode.loss_grad: 0.0000, loss: 0.2127, grad_norm: 0.0759 2024-01-03 21:40:31,242 - mmseg - INFO - Iter [18950/38400] lr: 2.551e-03, eta: 0:37:31, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2108, decode.loss_grad: 0.0000, loss: 0.2108, grad_norm: 0.0770 2024-01-03 21:40:36,809 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:40:36,810 - mmseg - INFO - Iter [19000/38400] lr: 2.541e-03, eta: 0:37:25, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2108, decode.loss_grad: 0.0000, loss: 0.2108, grad_norm: 0.0724 2024-01-03 21:40:42,363 - mmseg - INFO - Iter [19050/38400] lr: 2.531e-03, eta: 0:37:19, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2041, decode.loss_grad: 0.0000, loss: 0.2041, grad_norm: 0.0769 2024-01-03 21:40:47,911 - mmseg - INFO - Iter [19100/38400] lr: 2.521e-03, eta: 0:37:13, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2073, decode.loss_grad: 0.0000, loss: 0.2073, grad_norm: 0.0751 2024-01-03 21:40:53,474 - mmseg - INFO - Iter [19150/38400] lr: 2.510e-03, eta: 0:37:07, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2089, decode.loss_grad: 0.0000, loss: 0.2089, grad_norm: 0.0755 2024-01-03 21:40:58,962 - mmseg - INFO - Saving checkpoint at 19200 iterations 2024-01-03 21:40:59,020 - mmseg - INFO - Iter [19200/38400] lr: 2.500e-03, eta: 0:37:01, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2053, decode.loss_grad: 0.0000, loss: 0.2053, grad_norm: 0.0713 2024-01-03 21:41:08,750 - mmseg - INFO - Summary: 2024-01-03 21:41:08,751 - mmseg - INFO - +--------+-------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+-------+--------+---------+--------+--------+----------+---------+--------+ | 0.6056 | 0.872 | 0.9617 | 0.2683 | 0.7432 | 0.098 | 0.2732 | 19.7538 | 0.2739 | +--------+-------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 21:41:08,751 - mmseg - INFO - Iter(val) [82] a1: 0.6056, a2: 0.8720, a3: 0.9617, abs_rel: 0.26831531524658203, rmse: 0.7432303428649902, log_10: 0.09802351891994476, rmse_log: 0.27315667271614075, silog: 19.7538, sq_rel: 0.2739362120628357 2024-01-03 21:41:14,243 - mmseg - INFO - Iter [19250/38400] lr: 2.490e-03, eta: 0:37:05, time: 0.304, data_time: 0.198, memory: 805, decode.loss_depth: 0.2042, decode.loss_grad: 0.0000, loss: 0.2042, grad_norm: 0.0703 2024-01-03 21:41:19,763 - mmseg - INFO - Iter [19300/38400] lr: 2.480e-03, eta: 0:36:59, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2103, decode.loss_grad: 0.0000, loss: 0.2103, grad_norm: 0.0749 2024-01-03 21:41:25,291 - mmseg - INFO - Iter [19350/38400] lr: 2.470e-03, eta: 0:36:53, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2108, decode.loss_grad: 0.0000, loss: 0.2108, grad_norm: 0.0755 2024-01-03 21:41:30,836 - mmseg - INFO - Iter [19400/38400] lr: 2.459e-03, eta: 0:36:46, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2078, decode.loss_grad: 0.0000, loss: 0.2078, grad_norm: 0.0758 2024-01-03 21:41:36,389 - mmseg - INFO - Iter [19450/38400] lr: 2.449e-03, eta: 0:36:40, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2117, decode.loss_grad: 0.0000, loss: 0.2117, grad_norm: 0.0757 2024-01-03 21:41:41,895 - mmseg - INFO - Iter [19500/38400] lr: 2.439e-03, eta: 0:36:34, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2067, decode.loss_grad: 0.0000, loss: 0.2067, grad_norm: 0.0755 2024-01-03 21:41:47,465 - mmseg - INFO - Iter [19550/38400] lr: 2.429e-03, eta: 0:36:28, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2105, decode.loss_grad: 0.0000, loss: 0.2105, grad_norm: 0.0790 2024-01-03 21:41:52,987 - mmseg - INFO - Iter [19600/38400] lr: 2.418e-03, eta: 0:36:22, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2049, decode.loss_grad: 0.0000, loss: 0.2049, grad_norm: 0.0783 2024-01-03 21:41:58,557 - mmseg - INFO - Iter [19650/38400] lr: 2.408e-03, eta: 0:36:16, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2042, decode.loss_grad: 0.0000, loss: 0.2042, grad_norm: 0.0755 2024-01-03 21:42:06,263 - mmseg - INFO - Iter [19700/38400] lr: 2.398e-03, eta: 0:36:12, time: 0.154, data_time: 0.047, memory: 805, decode.loss_depth: 0.2047, decode.loss_grad: 0.0000, loss: 0.2047, grad_norm: 0.0767 2024-01-03 21:42:11,705 - mmseg - INFO - Iter [19750/38400] lr: 2.388e-03, eta: 0:36:06, time: 0.109, data_time: 0.003, memory: 805, decode.loss_depth: 0.2091, decode.loss_grad: 0.0000, loss: 0.2091, grad_norm: 0.0746 2024-01-03 21:42:17,283 - mmseg - INFO - Iter [19800/38400] lr: 2.378e-03, eta: 0:36:00, time: 0.112, data_time: 0.004, memory: 805, decode.loss_depth: 0.2111, decode.loss_grad: 0.0000, loss: 0.2111, grad_norm: 0.0746 2024-01-03 21:42:22,817 - mmseg - INFO - Iter [19850/38400] lr: 2.367e-03, eta: 0:35:54, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2085, decode.loss_grad: 0.0000, loss: 0.2085, grad_norm: 0.0762 2024-01-03 21:42:28,377 - mmseg - INFO - Iter [19900/38400] lr: 2.357e-03, eta: 0:35:48, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2158, decode.loss_grad: 0.0000, loss: 0.2158, grad_norm: 0.0738 2024-01-03 21:42:33,876 - mmseg - INFO - Iter [19950/38400] lr: 2.347e-03, eta: 0:35:42, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2039, decode.loss_grad: 0.0000, loss: 0.2039, grad_norm: 0.0706 2024-01-03 21:42:39,433 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:42:39,434 - mmseg - INFO - Iter [20000/38400] lr: 2.337e-03, eta: 0:35:36, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2082, decode.loss_grad: 0.0000, loss: 0.2082, grad_norm: 0.0756 2024-01-03 21:42:44,923 - mmseg - INFO - Iter [20050/38400] lr: 2.326e-03, eta: 0:35:30, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2056, decode.loss_grad: 0.0000, loss: 0.2056, grad_norm: 0.0740 2024-01-03 21:42:50,512 - mmseg - INFO - Iter [20100/38400] lr: 2.316e-03, eta: 0:35:24, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2056, decode.loss_grad: 0.0000, loss: 0.2056, grad_norm: 0.0710 2024-01-03 21:42:56,053 - mmseg - INFO - Iter [20150/38400] lr: 2.306e-03, eta: 0:35:18, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2109, decode.loss_grad: 0.0000, loss: 0.2109, grad_norm: 0.0768 2024-01-03 21:43:01,568 - mmseg - INFO - Iter [20200/38400] lr: 2.296e-03, eta: 0:35:12, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2055, decode.loss_grad: 0.0000, loss: 0.2055, grad_norm: 0.0759 2024-01-03 21:43:07,126 - mmseg - INFO - Iter [20250/38400] lr: 2.286e-03, eta: 0:35:06, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2020, decode.loss_grad: 0.0000, loss: 0.2020, grad_norm: 0.0741 2024-01-03 21:43:12,614 - mmseg - INFO - Iter [20300/38400] lr: 2.276e-03, eta: 0:34:59, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2061, decode.loss_grad: 0.0000, loss: 0.2061, grad_norm: 0.0763 2024-01-03 21:43:18,167 - mmseg - INFO - Iter [20350/38400] lr: 2.265e-03, eta: 0:34:53, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2095, decode.loss_grad: 0.0000, loss: 0.2095, grad_norm: 0.0753 2024-01-03 21:43:23,649 - mmseg - INFO - Iter [20400/38400] lr: 2.255e-03, eta: 0:34:47, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2107, decode.loss_grad: 0.0000, loss: 0.2107, grad_norm: 0.0736 2024-01-03 21:43:29,181 - mmseg - INFO - Iter [20450/38400] lr: 2.245e-03, eta: 0:34:41, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2137, decode.loss_grad: 0.0000, loss: 0.2137, grad_norm: 0.0746 2024-01-03 21:43:34,758 - mmseg - INFO - Iter [20500/38400] lr: 2.235e-03, eta: 0:34:35, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2113, decode.loss_grad: 0.0000, loss: 0.2113, grad_norm: 0.0782 2024-01-03 21:43:40,255 - mmseg - INFO - Iter [20550/38400] lr: 2.225e-03, eta: 0:34:29, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2100, decode.loss_grad: 0.0000, loss: 0.2100, grad_norm: 0.0761 2024-01-03 21:43:45,758 - mmseg - INFO - Iter [20600/38400] lr: 2.214e-03, eta: 0:34:23, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2071, decode.loss_grad: 0.0000, loss: 0.2071, grad_norm: 0.0738 2024-01-03 21:43:51,317 - mmseg - INFO - Iter [20650/38400] lr: 2.204e-03, eta: 0:34:17, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2005, decode.loss_grad: 0.0000, loss: 0.2005, grad_norm: 0.0718 2024-01-03 21:43:56,892 - mmseg - INFO - Iter [20700/38400] lr: 2.194e-03, eta: 0:34:11, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2073, decode.loss_grad: 0.0000, loss: 0.2073, grad_norm: 0.0700 2024-01-03 21:44:02,435 - mmseg - INFO - Iter [20750/38400] lr: 2.184e-03, eta: 0:34:05, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2022, decode.loss_grad: 0.0000, loss: 0.2022, grad_norm: 0.0701 2024-01-03 21:44:07,973 - mmseg - INFO - Saving checkpoint at 20800 iterations 2024-01-03 21:44:07,999 - mmseg - INFO - Iter [20800/38400] lr: 2.174e-03, eta: 0:33:59, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2104, decode.loss_grad: 0.0000, loss: 0.2104, grad_norm: 0.0752 2024-01-03 21:44:13,520 - mmseg - INFO - Iter [20850/38400] lr: 2.164e-03, eta: 0:33:53, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2092, decode.loss_grad: 0.0000, loss: 0.2092, grad_norm: 0.0769 2024-01-03 21:44:19,056 - mmseg - INFO - Iter [20900/38400] lr: 2.154e-03, eta: 0:33:47, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2011, decode.loss_grad: 0.0000, loss: 0.2011, grad_norm: 0.0733 2024-01-03 21:44:24,568 - mmseg - INFO - Iter [20950/38400] lr: 2.143e-03, eta: 0:33:41, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2058, decode.loss_grad: 0.0000, loss: 0.2058, grad_norm: 0.0728 2024-01-03 21:44:30,096 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:44:30,097 - mmseg - INFO - Iter [21000/38400] lr: 2.133e-03, eta: 0:33:35, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2036, decode.loss_grad: 0.0000, loss: 0.2036, grad_norm: 0.0738 2024-01-03 21:44:35,623 - mmseg - INFO - Iter [21050/38400] lr: 2.123e-03, eta: 0:33:29, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2052, decode.loss_grad: 0.0000, loss: 0.2052, grad_norm: 0.0744 2024-01-03 21:44:41,191 - mmseg - INFO - Iter [21100/38400] lr: 2.113e-03, eta: 0:33:23, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2141, decode.loss_grad: 0.0000, loss: 0.2141, grad_norm: 0.0774 2024-01-03 21:44:46,762 - mmseg - INFO - Iter [21150/38400] lr: 2.103e-03, eta: 0:33:17, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2058, decode.loss_grad: 0.0000, loss: 0.2058, grad_norm: 0.0750 2024-01-03 21:44:54,478 - mmseg - INFO - Iter [21200/38400] lr: 2.093e-03, eta: 0:33:13, time: 0.154, data_time: 0.047, memory: 805, decode.loss_depth: 0.2034, decode.loss_grad: 0.0000, loss: 0.2034, grad_norm: 0.0747 2024-01-03 21:45:00,008 - mmseg - INFO - Iter [21250/38400] lr: 2.083e-03, eta: 0:33:07, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2026, decode.loss_grad: 0.0000, loss: 0.2026, grad_norm: 0.0758 2024-01-03 21:45:05,499 - mmseg - INFO - Iter [21300/38400] lr: 2.073e-03, eta: 0:33:01, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2094, decode.loss_grad: 0.0000, loss: 0.2094, grad_norm: 0.0724 2024-01-03 21:45:11,055 - mmseg - INFO - Iter [21350/38400] lr: 2.063e-03, eta: 0:32:55, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2050, decode.loss_grad: 0.0000, loss: 0.2050, grad_norm: 0.0736 2024-01-03 21:45:16,555 - mmseg - INFO - Iter [21400/38400] lr: 2.053e-03, eta: 0:32:49, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2037, decode.loss_grad: 0.0000, loss: 0.2037, grad_norm: 0.0760 2024-01-03 21:45:22,101 - mmseg - INFO - Iter [21450/38400] lr: 2.043e-03, eta: 0:32:43, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2074, decode.loss_grad: 0.0000, loss: 0.2074, grad_norm: 0.0738 2024-01-03 21:45:27,597 - mmseg - INFO - Iter [21500/38400] lr: 2.033e-03, eta: 0:32:37, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2047, decode.loss_grad: 0.0000, loss: 0.2047, grad_norm: 0.0757 2024-01-03 21:45:33,187 - mmseg - INFO - Iter [21550/38400] lr: 2.023e-03, eta: 0:32:31, time: 0.112, data_time: 0.004, memory: 805, decode.loss_depth: 0.2052, decode.loss_grad: 0.0000, loss: 0.2052, grad_norm: 0.0759 2024-01-03 21:45:38,689 - mmseg - INFO - Iter [21600/38400] lr: 2.012e-03, eta: 0:32:25, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2024, decode.loss_grad: 0.0000, loss: 0.2024, grad_norm: 0.0725 2024-01-03 21:45:44,246 - mmseg - INFO - Iter [21650/38400] lr: 2.002e-03, eta: 0:32:19, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2072, decode.loss_grad: 0.0000, loss: 0.2072, grad_norm: 0.0757 2024-01-03 21:45:49,767 - mmseg - INFO - Iter [21700/38400] lr: 1.992e-03, eta: 0:32:13, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2061, decode.loss_grad: 0.0000, loss: 0.2061, grad_norm: 0.0741 2024-01-03 21:45:55,331 - mmseg - INFO - Iter [21750/38400] lr: 1.982e-03, eta: 0:32:07, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2037, decode.loss_grad: 0.0000, loss: 0.2037, grad_norm: 0.0768 2024-01-03 21:46:00,888 - mmseg - INFO - Iter [21800/38400] lr: 1.972e-03, eta: 0:32:01, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.1985, decode.loss_grad: 0.0000, loss: 0.1985, grad_norm: 0.0753 2024-01-03 21:46:06,406 - mmseg - INFO - Iter [21850/38400] lr: 1.962e-03, eta: 0:31:55, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2002, decode.loss_grad: 0.0000, loss: 0.2002, grad_norm: 0.0773 2024-01-03 21:46:11,975 - mmseg - INFO - Iter [21900/38400] lr: 1.952e-03, eta: 0:31:49, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2108, decode.loss_grad: 0.0000, loss: 0.2108, grad_norm: 0.0737 2024-01-03 21:46:17,516 - mmseg - INFO - Iter [21950/38400] lr: 1.942e-03, eta: 0:31:43, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2110, decode.loss_grad: 0.0000, loss: 0.2110, grad_norm: 0.0773 2024-01-03 21:46:23,071 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:46:23,072 - mmseg - INFO - Iter [22000/38400] lr: 1.933e-03, eta: 0:31:37, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2055, decode.loss_grad: 0.0000, loss: 0.2055, grad_norm: 0.0730 2024-01-03 21:46:28,623 - mmseg - INFO - Iter [22050/38400] lr: 1.923e-03, eta: 0:31:31, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2027, decode.loss_grad: 0.0000, loss: 0.2027, grad_norm: 0.0710 2024-01-03 21:46:34,222 - mmseg - INFO - Iter [22100/38400] lr: 1.913e-03, eta: 0:31:25, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2095, decode.loss_grad: 0.0000, loss: 0.2095, grad_norm: 0.0740 2024-01-03 21:46:39,722 - mmseg - INFO - Iter [22150/38400] lr: 1.903e-03, eta: 0:31:19, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2015, decode.loss_grad: 0.0000, loss: 0.2015, grad_norm: 0.0752 2024-01-03 21:46:45,243 - mmseg - INFO - Iter [22200/38400] lr: 1.893e-03, eta: 0:31:13, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2091, decode.loss_grad: 0.0000, loss: 0.2091, grad_norm: 0.0741 2024-01-03 21:46:50,757 - mmseg - INFO - Iter [22250/38400] lr: 1.883e-03, eta: 0:31:07, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2047, decode.loss_grad: 0.0000, loss: 0.2047, grad_norm: 0.0738 2024-01-03 21:46:56,298 - mmseg - INFO - Iter [22300/38400] lr: 1.873e-03, eta: 0:31:01, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2089, decode.loss_grad: 0.0000, loss: 0.2089, grad_norm: 0.0719 2024-01-03 21:47:01,893 - mmseg - INFO - Iter [22350/38400] lr: 1.863e-03, eta: 0:30:55, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2051, decode.loss_grad: 0.0000, loss: 0.2051, grad_norm: 0.0706 2024-01-03 21:47:07,440 - mmseg - INFO - Saving checkpoint at 22400 iterations 2024-01-03 21:47:07,477 - mmseg - INFO - Iter [22400/38400] lr: 1.853e-03, eta: 0:30:50, time: 0.112, data_time: 0.004, memory: 805, decode.loss_depth: 0.2075, decode.loss_grad: 0.0000, loss: 0.2075, grad_norm: 0.0718 2024-01-03 21:47:17,189 - mmseg - INFO - Summary: 2024-01-03 21:47:17,190 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.6222 | 0.8805 | 0.9641 | 0.2565 | 0.7096 | 0.0948 | 0.265 | 19.6064 | 0.2488 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 21:47:17,190 - mmseg - INFO - Iter(val) [82] a1: 0.6222, a2: 0.8805, a3: 0.9641, abs_rel: 0.25653383135795593, rmse: 0.7095517516136169, log_10: 0.09476280212402344, rmse_log: 0.26503798365592957, silog: 19.6064, sq_rel: 0.24877190589904785 2024-01-03 21:47:22,704 - mmseg - INFO - Iter [22450/38400] lr: 1.843e-03, eta: 0:30:50, time: 0.305, data_time: 0.198, memory: 805, decode.loss_depth: 0.2054, decode.loss_grad: 0.0000, loss: 0.2054, grad_norm: 0.0763 2024-01-03 21:47:28,263 - mmseg - INFO - Iter [22500/38400] lr: 1.833e-03, eta: 0:30:44, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2074, decode.loss_grad: 0.0000, loss: 0.2074, grad_norm: 0.0723 2024-01-03 21:47:33,854 - mmseg - INFO - Iter [22550/38400] lr: 1.824e-03, eta: 0:30:39, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2080, decode.loss_grad: 0.0000, loss: 0.2080, grad_norm: 0.0722 2024-01-03 21:47:39,409 - mmseg - INFO - Iter [22600/38400] lr: 1.814e-03, eta: 0:30:33, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2026, decode.loss_grad: 0.0000, loss: 0.2026, grad_norm: 0.0725 2024-01-03 21:47:44,952 - mmseg - INFO - Iter [22650/38400] lr: 1.804e-03, eta: 0:30:27, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2050, decode.loss_grad: 0.0000, loss: 0.2050, grad_norm: 0.0752 2024-01-03 21:47:50,468 - mmseg - INFO - Iter [22700/38400] lr: 1.794e-03, eta: 0:30:21, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2027, decode.loss_grad: 0.0000, loss: 0.2027, grad_norm: 0.0750 2024-01-03 21:47:58,206 - mmseg - INFO - Iter [22750/38400] lr: 1.784e-03, eta: 0:30:16, time: 0.155, data_time: 0.046, memory: 805, decode.loss_depth: 0.1995, decode.loss_grad: 0.0000, loss: 0.1995, grad_norm: 0.0737 2024-01-03 21:48:03,734 - mmseg - INFO - Iter [22800/38400] lr: 1.774e-03, eta: 0:30:10, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2087, decode.loss_grad: 0.0000, loss: 0.2087, grad_norm: 0.0737 2024-01-03 21:48:09,264 - mmseg - INFO - Iter [22850/38400] lr: 1.765e-03, eta: 0:30:04, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2052, decode.loss_grad: 0.0000, loss: 0.2052, grad_norm: 0.0737 2024-01-03 21:48:14,809 - mmseg - INFO - Iter [22900/38400] lr: 1.755e-03, eta: 0:29:58, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2039, decode.loss_grad: 0.0000, loss: 0.2039, grad_norm: 0.0770 2024-01-03 21:48:20,330 - mmseg - INFO - Iter [22950/38400] lr: 1.745e-03, eta: 0:29:52, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2072, decode.loss_grad: 0.0000, loss: 0.2072, grad_norm: 0.0754 2024-01-03 21:48:25,933 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:48:25,933 - mmseg - INFO - Iter [23000/38400] lr: 1.735e-03, eta: 0:29:46, time: 0.112, data_time: 0.004, memory: 805, decode.loss_depth: 0.2043, decode.loss_grad: 0.0000, loss: 0.2043, grad_norm: 0.0753 2024-01-03 21:48:31,480 - mmseg - INFO - Iter [23050/38400] lr: 1.726e-03, eta: 0:29:40, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2100, decode.loss_grad: 0.0000, loss: 0.2100, grad_norm: 0.0749 2024-01-03 21:48:37,020 - mmseg - INFO - Iter [23100/38400] lr: 1.716e-03, eta: 0:29:34, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2088, decode.loss_grad: 0.0000, loss: 0.2088, grad_norm: 0.0757 2024-01-03 21:48:42,579 - mmseg - INFO - Iter [23150/38400] lr: 1.706e-03, eta: 0:29:28, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2021, decode.loss_grad: 0.0000, loss: 0.2021, grad_norm: 0.0755 2024-01-03 21:48:48,118 - mmseg - INFO - Iter [23200/38400] lr: 1.697e-03, eta: 0:29:22, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1999, decode.loss_grad: 0.0000, loss: 0.1999, grad_norm: 0.0712 2024-01-03 21:48:53,700 - mmseg - INFO - Iter [23250/38400] lr: 1.687e-03, eta: 0:29:16, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2091, decode.loss_grad: 0.0000, loss: 0.2091, grad_norm: 0.0759 2024-01-03 21:48:59,220 - mmseg - INFO - Iter [23300/38400] lr: 1.677e-03, eta: 0:29:10, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2063, decode.loss_grad: 0.0000, loss: 0.2063, grad_norm: 0.0726 2024-01-03 21:49:04,843 - mmseg - INFO - Iter [23350/38400] lr: 1.668e-03, eta: 0:29:05, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2021, decode.loss_grad: 0.0000, loss: 0.2021, grad_norm: 0.0715 2024-01-03 21:49:10,430 - mmseg - INFO - Iter [23400/38400] lr: 1.658e-03, eta: 0:28:59, time: 0.112, data_time: 0.004, memory: 805, decode.loss_depth: 0.2015, decode.loss_grad: 0.0000, loss: 0.2015, grad_norm: 0.0743 2024-01-03 21:49:15,994 - mmseg - INFO - Iter [23450/38400] lr: 1.648e-03, eta: 0:28:53, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2046, decode.loss_grad: 0.0000, loss: 0.2046, grad_norm: 0.0734 2024-01-03 21:49:21,541 - mmseg - INFO - Iter [23500/38400] lr: 1.639e-03, eta: 0:28:47, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2034, decode.loss_grad: 0.0000, loss: 0.2034, grad_norm: 0.0744 2024-01-03 21:49:27,102 - mmseg - INFO - Iter [23550/38400] lr: 1.629e-03, eta: 0:28:41, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1983, decode.loss_grad: 0.0000, loss: 0.1983, grad_norm: 0.0710 2024-01-03 21:49:32,673 - mmseg - INFO - Iter [23600/38400] lr: 1.620e-03, eta: 0:28:35, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.1996, decode.loss_grad: 0.0000, loss: 0.1996, grad_norm: 0.0716 2024-01-03 21:49:38,185 - mmseg - INFO - Iter [23650/38400] lr: 1.610e-03, eta: 0:28:29, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2047, decode.loss_grad: 0.0000, loss: 0.2047, grad_norm: 0.0739 2024-01-03 21:49:43,749 - mmseg - INFO - Iter [23700/38400] lr: 1.600e-03, eta: 0:28:23, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2064, decode.loss_grad: 0.0000, loss: 0.2064, grad_norm: 0.0744 2024-01-03 21:49:49,312 - mmseg - INFO - Iter [23750/38400] lr: 1.591e-03, eta: 0:28:17, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2060, decode.loss_grad: 0.0000, loss: 0.2060, grad_norm: 0.0729 2024-01-03 21:49:54,842 - mmseg - INFO - Iter [23800/38400] lr: 1.581e-03, eta: 0:28:11, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2002, decode.loss_grad: 0.0000, loss: 0.2002, grad_norm: 0.0727 2024-01-03 21:50:00,447 - mmseg - INFO - Iter [23850/38400] lr: 1.572e-03, eta: 0:28:05, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2026, decode.loss_grad: 0.0000, loss: 0.2026, grad_norm: 0.0681 2024-01-03 21:50:05,991 - mmseg - INFO - Iter [23900/38400] lr: 1.562e-03, eta: 0:27:59, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2006, decode.loss_grad: 0.0000, loss: 0.2006, grad_norm: 0.0699 2024-01-03 21:50:11,546 - mmseg - INFO - Iter [23950/38400] lr: 1.553e-03, eta: 0:27:53, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2015, decode.loss_grad: 0.0000, loss: 0.2015, grad_norm: 0.0708 2024-01-03 21:50:17,106 - mmseg - INFO - Saving checkpoint at 24000 iterations 2024-01-03 21:50:17,137 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:50:17,137 - mmseg - INFO - Iter [24000/38400] lr: 1.543e-03, eta: 0:27:47, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2080, decode.loss_grad: 0.0000, loss: 0.2080, grad_norm: 0.0757 2024-01-03 21:50:22,671 - mmseg - INFO - Iter [24050/38400] lr: 1.534e-03, eta: 0:27:41, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1980, decode.loss_grad: 0.0000, loss: 0.1980, grad_norm: 0.0709 2024-01-03 21:50:28,204 - mmseg - INFO - Iter [24100/38400] lr: 1.525e-03, eta: 0:27:35, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2055, decode.loss_grad: 0.0000, loss: 0.2055, grad_norm: 0.0737 2024-01-03 21:50:33,751 - mmseg - INFO - Iter [24150/38400] lr: 1.515e-03, eta: 0:27:29, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2068, decode.loss_grad: 0.0000, loss: 0.2068, grad_norm: 0.0745 2024-01-03 21:50:39,262 - mmseg - INFO - Iter [24200/38400] lr: 1.506e-03, eta: 0:27:24, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2095, decode.loss_grad: 0.0000, loss: 0.2095, grad_norm: 0.0717 2024-01-03 21:50:46,986 - mmseg - INFO - Iter [24250/38400] lr: 1.496e-03, eta: 0:27:19, time: 0.154, data_time: 0.046, memory: 805, decode.loss_depth: 0.2019, decode.loss_grad: 0.0000, loss: 0.2019, grad_norm: 0.0774 2024-01-03 21:50:52,547 - mmseg - INFO - Iter [24300/38400] lr: 1.487e-03, eta: 0:27:13, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2053, decode.loss_grad: 0.0000, loss: 0.2053, grad_norm: 0.0727 2024-01-03 21:50:58,127 - mmseg - INFO - Iter [24350/38400] lr: 1.478e-03, eta: 0:27:07, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2045, decode.loss_grad: 0.0000, loss: 0.2045, grad_norm: 0.0734 2024-01-03 21:51:03,669 - mmseg - INFO - Iter [24400/38400] lr: 1.468e-03, eta: 0:27:01, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2046, decode.loss_grad: 0.0000, loss: 0.2046, grad_norm: 0.0740 2024-01-03 21:51:09,220 - mmseg - INFO - Iter [24450/38400] lr: 1.459e-03, eta: 0:26:55, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2040, decode.loss_grad: 0.0000, loss: 0.2040, grad_norm: 0.0683 2024-01-03 21:51:14,714 - mmseg - INFO - Iter [24500/38400] lr: 1.450e-03, eta: 0:26:49, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2021, decode.loss_grad: 0.0000, loss: 0.2021, grad_norm: 0.0707 2024-01-03 21:51:20,226 - mmseg - INFO - Iter [24550/38400] lr: 1.441e-03, eta: 0:26:43, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2056, decode.loss_grad: 0.0000, loss: 0.2056, grad_norm: 0.0690 2024-01-03 21:51:25,746 - mmseg - INFO - Iter [24600/38400] lr: 1.431e-03, eta: 0:26:37, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2016, decode.loss_grad: 0.0000, loss: 0.2016, grad_norm: 0.0676 2024-01-03 21:51:31,320 - mmseg - INFO - Iter [24650/38400] lr: 1.422e-03, eta: 0:26:31, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2041, decode.loss_grad: 0.0000, loss: 0.2041, grad_norm: 0.0733 2024-01-03 21:51:36,782 - mmseg - INFO - Iter [24700/38400] lr: 1.413e-03, eta: 0:26:25, time: 0.109, data_time: 0.003, memory: 805, decode.loss_depth: 0.2010, decode.loss_grad: 0.0000, loss: 0.2010, grad_norm: 0.0714 2024-01-03 21:51:42,319 - mmseg - INFO - Iter [24750/38400] lr: 1.404e-03, eta: 0:26:20, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2084, decode.loss_grad: 0.0000, loss: 0.2084, grad_norm: 0.0729 2024-01-03 21:51:47,896 - mmseg - INFO - Iter [24800/38400] lr: 1.394e-03, eta: 0:26:14, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2029, decode.loss_grad: 0.0000, loss: 0.2029, grad_norm: 0.0704 2024-01-03 21:51:53,494 - mmseg - INFO - Iter [24850/38400] lr: 1.385e-03, eta: 0:26:08, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2105, decode.loss_grad: 0.0000, loss: 0.2105, grad_norm: 0.0730 2024-01-03 21:51:59,077 - mmseg - INFO - Iter [24900/38400] lr: 1.376e-03, eta: 0:26:02, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2016, decode.loss_grad: 0.0000, loss: 0.2016, grad_norm: 0.0709 2024-01-03 21:52:04,661 - mmseg - INFO - Iter [24950/38400] lr: 1.367e-03, eta: 0:25:56, time: 0.112, data_time: 0.004, memory: 805, decode.loss_depth: 0.2058, decode.loss_grad: 0.0000, loss: 0.2058, grad_norm: 0.0716 2024-01-03 21:52:10,197 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:52:10,197 - mmseg - INFO - Iter [25000/38400] lr: 1.358e-03, eta: 0:25:50, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2044, decode.loss_grad: 0.0000, loss: 0.2044, grad_norm: 0.0734 2024-01-03 21:52:15,681 - mmseg - INFO - Iter [25050/38400] lr: 1.349e-03, eta: 0:25:44, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2001, decode.loss_grad: 0.0000, loss: 0.2001, grad_norm: 0.0744 2024-01-03 21:52:21,235 - mmseg - INFO - Iter [25100/38400] lr: 1.340e-03, eta: 0:25:38, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2013, decode.loss_grad: 0.0000, loss: 0.2013, grad_norm: 0.0758 2024-01-03 21:52:26,802 - mmseg - INFO - Iter [25150/38400] lr: 1.331e-03, eta: 0:25:32, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1988, decode.loss_grad: 0.0000, loss: 0.1988, grad_norm: 0.0714 2024-01-03 21:52:32,287 - mmseg - INFO - Iter [25200/38400] lr: 1.322e-03, eta: 0:25:26, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2037, decode.loss_grad: 0.0000, loss: 0.2037, grad_norm: 0.0711 2024-01-03 21:52:37,841 - mmseg - INFO - Iter [25250/38400] lr: 1.313e-03, eta: 0:25:20, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2012, decode.loss_grad: 0.0000, loss: 0.2012, grad_norm: 0.0735 2024-01-03 21:52:43,372 - mmseg - INFO - Iter [25300/38400] lr: 1.304e-03, eta: 0:25:14, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1961, decode.loss_grad: 0.0000, loss: 0.1961, grad_norm: 0.0677 2024-01-03 21:52:48,899 - mmseg - INFO - Iter [25350/38400] lr: 1.295e-03, eta: 0:25:09, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1972, decode.loss_grad: 0.0000, loss: 0.1972, grad_norm: 0.0733 2024-01-03 21:52:54,427 - mmseg - INFO - Iter [25400/38400] lr: 1.286e-03, eta: 0:25:03, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2019, decode.loss_grad: 0.0000, loss: 0.2019, grad_norm: 0.0713 2024-01-03 21:52:59,976 - mmseg - INFO - Iter [25450/38400] lr: 1.277e-03, eta: 0:24:57, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2065, decode.loss_grad: 0.0000, loss: 0.2065, grad_norm: 0.0716 2024-01-03 21:53:05,521 - mmseg - INFO - Iter [25500/38400] lr: 1.268e-03, eta: 0:24:51, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2008, decode.loss_grad: 0.0000, loss: 0.2008, grad_norm: 0.0755 2024-01-03 21:53:11,075 - mmseg - INFO - Iter [25550/38400] lr: 1.259e-03, eta: 0:24:45, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2039, decode.loss_grad: 0.0000, loss: 0.2039, grad_norm: 0.0735 2024-01-03 21:53:16,653 - mmseg - INFO - Saving checkpoint at 25600 iterations 2024-01-03 21:53:16,685 - mmseg - INFO - Iter [25600/38400] lr: 1.250e-03, eta: 0:24:39, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2030, decode.loss_grad: 0.0000, loss: 0.2030, grad_norm: 0.0718 2024-01-03 21:53:26,450 - mmseg - INFO - Summary: 2024-01-03 21:53:26,452 - mmseg - INFO - +--------+------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+------+--------+---------+--------+--------+----------+---------+--------+ | 0.5992 | 0.87 | 0.9594 | 0.2732 | 0.7387 | 0.0991 | 0.2753 | 19.5878 | 0.2769 | +--------+------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 21:53:26,452 - mmseg - INFO - Iter(val) [82] a1: 0.5992, a2: 0.8700, a3: 0.9594, abs_rel: 0.2732289433479309, rmse: 0.7386720776557922, log_10: 0.09911017119884491, rmse_log: 0.275316059589386, silog: 19.5878, sq_rel: 0.27689415216445923 2024-01-03 21:53:31,938 - mmseg - INFO - Iter [25650/38400] lr: 1.241e-03, eta: 0:24:38, time: 0.305, data_time: 0.199, memory: 805, decode.loss_depth: 0.2027, decode.loss_grad: 0.0000, loss: 0.2027, grad_norm: 0.0750 2024-01-03 21:53:37,470 - mmseg - INFO - Iter [25700/38400] lr: 1.233e-03, eta: 0:24:32, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2058, decode.loss_grad: 0.0000, loss: 0.2058, grad_norm: 0.0712 2024-01-03 21:53:45,193 - mmseg - INFO - Iter [25750/38400] lr: 1.224e-03, eta: 0:24:27, time: 0.154, data_time: 0.047, memory: 805, decode.loss_depth: 0.2014, decode.loss_grad: 0.0000, loss: 0.2014, grad_norm: 0.0698 2024-01-03 21:53:50,710 - mmseg - INFO - Iter [25800/38400] lr: 1.215e-03, eta: 0:24:21, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2018, decode.loss_grad: 0.0000, loss: 0.2018, grad_norm: 0.0711 2024-01-03 21:53:56,302 - mmseg - INFO - Iter [25850/38400] lr: 1.206e-03, eta: 0:24:15, time: 0.112, data_time: 0.004, memory: 805, decode.loss_depth: 0.1989, decode.loss_grad: 0.0000, loss: 0.1989, grad_norm: 0.0712 2024-01-03 21:54:01,827 - mmseg - INFO - Iter [25900/38400] lr: 1.197e-03, eta: 0:24:09, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2025, decode.loss_grad: 0.0000, loss: 0.2025, grad_norm: 0.0763 2024-01-03 21:54:07,317 - mmseg - INFO - Iter [25950/38400] lr: 1.189e-03, eta: 0:24:04, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.1968, decode.loss_grad: 0.0000, loss: 0.1968, grad_norm: 0.0706 2024-01-03 21:54:12,812 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:54:12,812 - mmseg - INFO - Iter [26000/38400] lr: 1.180e-03, eta: 0:23:58, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2039, decode.loss_grad: 0.0000, loss: 0.2039, grad_norm: 0.0721 2024-01-03 21:54:18,313 - mmseg - INFO - Iter [26050/38400] lr: 1.171e-03, eta: 0:23:52, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2007, decode.loss_grad: 0.0000, loss: 0.2007, grad_norm: 0.0690 2024-01-03 21:54:23,869 - mmseg - INFO - Iter [26100/38400] lr: 1.163e-03, eta: 0:23:46, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.1990, decode.loss_grad: 0.0000, loss: 0.1990, grad_norm: 0.0713 2024-01-03 21:54:29,402 - mmseg - INFO - Iter [26150/38400] lr: 1.154e-03, eta: 0:23:40, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.1994, decode.loss_grad: 0.0000, loss: 0.1994, grad_norm: 0.0680 2024-01-03 21:54:34,979 - mmseg - INFO - Iter [26200/38400] lr: 1.145e-03, eta: 0:23:34, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2014, decode.loss_grad: 0.0000, loss: 0.2014, grad_norm: 0.0739 2024-01-03 21:54:40,529 - mmseg - INFO - Iter [26250/38400] lr: 1.137e-03, eta: 0:23:28, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2014, decode.loss_grad: 0.0000, loss: 0.2014, grad_norm: 0.0711 2024-01-03 21:54:46,090 - mmseg - INFO - Iter [26300/38400] lr: 1.128e-03, eta: 0:23:22, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2004, decode.loss_grad: 0.0000, loss: 0.2004, grad_norm: 0.0686 2024-01-03 21:54:51,631 - mmseg - INFO - Iter [26350/38400] lr: 1.120e-03, eta: 0:23:16, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1994, decode.loss_grad: 0.0000, loss: 0.1994, grad_norm: 0.0739 2024-01-03 21:54:57,165 - mmseg - INFO - Iter [26400/38400] lr: 1.111e-03, eta: 0:23:10, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2026, decode.loss_grad: 0.0000, loss: 0.2026, grad_norm: 0.0699 2024-01-03 21:55:02,643 - mmseg - INFO - Iter [26450/38400] lr: 1.103e-03, eta: 0:23:04, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2057, decode.loss_grad: 0.0000, loss: 0.2057, grad_norm: 0.0683 2024-01-03 21:55:08,263 - mmseg - INFO - Iter [26500/38400] lr: 1.094e-03, eta: 0:22:58, time: 0.112, data_time: 0.004, memory: 805, decode.loss_depth: 0.1999, decode.loss_grad: 0.0000, loss: 0.1999, grad_norm: 0.0720 2024-01-03 21:55:13,819 - mmseg - INFO - Iter [26550/38400] lr: 1.086e-03, eta: 0:22:53, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1993, decode.loss_grad: 0.0000, loss: 0.1993, grad_norm: 0.0714 2024-01-03 21:55:19,339 - mmseg - INFO - Iter [26600/38400] lr: 1.077e-03, eta: 0:22:47, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2004, decode.loss_grad: 0.0000, loss: 0.2004, grad_norm: 0.0671 2024-01-03 21:55:24,900 - mmseg - INFO - Iter [26650/38400] lr: 1.069e-03, eta: 0:22:41, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2055, decode.loss_grad: 0.0000, loss: 0.2055, grad_norm: 0.0713 2024-01-03 21:55:30,489 - mmseg - INFO - Iter [26700/38400] lr: 1.061e-03, eta: 0:22:35, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.1988, decode.loss_grad: 0.0000, loss: 0.1988, grad_norm: 0.0728 2024-01-03 21:55:36,028 - mmseg - INFO - Iter [26750/38400] lr: 1.052e-03, eta: 0:22:29, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2034, decode.loss_grad: 0.0000, loss: 0.2034, grad_norm: 0.0699 2024-01-03 21:55:41,529 - mmseg - INFO - Iter [26800/38400] lr: 1.044e-03, eta: 0:22:23, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2037, decode.loss_grad: 0.0000, loss: 0.2037, grad_norm: 0.0685 2024-01-03 21:55:47,088 - mmseg - INFO - Iter [26850/38400] lr: 1.036e-03, eta: 0:22:17, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2025, decode.loss_grad: 0.0000, loss: 0.2025, grad_norm: 0.0703 2024-01-03 21:55:52,675 - mmseg - INFO - Iter [26900/38400] lr: 1.027e-03, eta: 0:22:11, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.1982, decode.loss_grad: 0.0000, loss: 0.1982, grad_norm: 0.0687 2024-01-03 21:55:58,183 - mmseg - INFO - Iter [26950/38400] lr: 1.019e-03, eta: 0:22:05, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2072, decode.loss_grad: 0.0000, loss: 0.2072, grad_norm: 0.0748 2024-01-03 21:56:03,717 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:56:03,717 - mmseg - INFO - Iter [27000/38400] lr: 1.011e-03, eta: 0:21:59, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2047, decode.loss_grad: 0.0000, loss: 0.2047, grad_norm: 0.0743 2024-01-03 21:56:09,254 - mmseg - INFO - Iter [27050/38400] lr: 1.003e-03, eta: 0:21:54, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2004, decode.loss_grad: 0.0000, loss: 0.2004, grad_norm: 0.0704 2024-01-03 21:56:14,754 - mmseg - INFO - Iter [27100/38400] lr: 9.945e-04, eta: 0:21:48, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2035, decode.loss_grad: 0.0000, loss: 0.2035, grad_norm: 0.0723 2024-01-03 21:56:20,280 - mmseg - INFO - Iter [27150/38400] lr: 9.864e-04, eta: 0:21:42, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2047, decode.loss_grad: 0.0000, loss: 0.2047, grad_norm: 0.0684 2024-01-03 21:56:25,797 - mmseg - INFO - Saving checkpoint at 27200 iterations 2024-01-03 21:56:25,823 - mmseg - INFO - Iter [27200/38400] lr: 9.783e-04, eta: 0:21:36, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2015, decode.loss_grad: 0.0000, loss: 0.2015, grad_norm: 0.0735 2024-01-03 21:56:31,273 - mmseg - INFO - Iter [27250/38400] lr: 9.702e-04, eta: 0:21:30, time: 0.109, data_time: 0.003, memory: 805, decode.loss_depth: 0.1981, decode.loss_grad: 0.0000, loss: 0.1981, grad_norm: 0.0729 2024-01-03 21:56:39,063 - mmseg - INFO - Iter [27300/38400] lr: 9.621e-04, eta: 0:21:25, time: 0.156, data_time: 0.046, memory: 805, decode.loss_depth: 0.2039, decode.loss_grad: 0.0000, loss: 0.2039, grad_norm: 0.0712 2024-01-03 21:56:44,636 - mmseg - INFO - Iter [27350/38400] lr: 9.540e-04, eta: 0:21:19, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1991, decode.loss_grad: 0.0000, loss: 0.1991, grad_norm: 0.0726 2024-01-03 21:56:50,158 - mmseg - INFO - Iter [27400/38400] lr: 9.460e-04, eta: 0:21:13, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.1993, decode.loss_grad: 0.0000, loss: 0.1993, grad_norm: 0.0699 2024-01-03 21:56:55,684 - mmseg - INFO - Iter [27450/38400] lr: 9.380e-04, eta: 0:21:07, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2023, decode.loss_grad: 0.0000, loss: 0.2023, grad_norm: 0.0709 2024-01-03 21:57:01,171 - mmseg - INFO - Iter [27500/38400] lr: 9.300e-04, eta: 0:21:01, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2010, decode.loss_grad: 0.0000, loss: 0.2010, grad_norm: 0.0691 2024-01-03 21:57:06,709 - mmseg - INFO - Iter [27550/38400] lr: 9.221e-04, eta: 0:20:56, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2014, decode.loss_grad: 0.0000, loss: 0.2014, grad_norm: 0.0703 2024-01-03 21:57:12,211 - mmseg - INFO - Iter [27600/38400] lr: 9.142e-04, eta: 0:20:50, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2027, decode.loss_grad: 0.0000, loss: 0.2027, grad_norm: 0.0705 2024-01-03 21:57:17,791 - mmseg - INFO - Iter [27650/38400] lr: 9.063e-04, eta: 0:20:44, time: 0.112, data_time: 0.004, memory: 805, decode.loss_depth: 0.1990, decode.loss_grad: 0.0000, loss: 0.1990, grad_norm: 0.0697 2024-01-03 21:57:23,322 - mmseg - INFO - Iter [27700/38400] lr: 8.984e-04, eta: 0:20:38, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1986, decode.loss_grad: 0.0000, loss: 0.1986, grad_norm: 0.0723 2024-01-03 21:57:28,840 - mmseg - INFO - Iter [27750/38400] lr: 8.906e-04, eta: 0:20:32, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.1969, decode.loss_grad: 0.0000, loss: 0.1969, grad_norm: 0.0692 2024-01-03 21:57:34,377 - mmseg - INFO - Iter [27800/38400] lr: 8.828e-04, eta: 0:20:26, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2007, decode.loss_grad: 0.0000, loss: 0.2007, grad_norm: 0.0707 2024-01-03 21:57:39,943 - mmseg - INFO - Iter [27850/38400] lr: 8.750e-04, eta: 0:20:20, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2019, decode.loss_grad: 0.0000, loss: 0.2019, grad_norm: 0.0705 2024-01-03 21:57:45,529 - mmseg - INFO - Iter [27900/38400] lr: 8.672e-04, eta: 0:20:14, time: 0.112, data_time: 0.004, memory: 805, decode.loss_depth: 0.1992, decode.loss_grad: 0.0000, loss: 0.1992, grad_norm: 0.0714 2024-01-03 21:57:51,138 - mmseg - INFO - Iter [27950/38400] lr: 8.595e-04, eta: 0:20:09, time: 0.112, data_time: 0.004, memory: 805, decode.loss_depth: 0.2060, decode.loss_grad: 0.0000, loss: 0.2060, grad_norm: 0.0789 2024-01-03 21:57:56,702 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:57:56,702 - mmseg - INFO - Iter [28000/38400] lr: 8.518e-04, eta: 0:20:03, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1939, decode.loss_grad: 0.0000, loss: 0.1939, grad_norm: 0.0693 2024-01-03 21:58:02,211 - mmseg - INFO - Iter [28050/38400] lr: 8.441e-04, eta: 0:19:57, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2044, decode.loss_grad: 0.0000, loss: 0.2044, grad_norm: 0.0707 2024-01-03 21:58:07,740 - mmseg - INFO - Iter [28100/38400] lr: 8.365e-04, eta: 0:19:51, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2014, decode.loss_grad: 0.0000, loss: 0.2014, grad_norm: 0.0718 2024-01-03 21:58:13,252 - mmseg - INFO - Iter [28150/38400] lr: 8.288e-04, eta: 0:19:45, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2006, decode.loss_grad: 0.0000, loss: 0.2006, grad_norm: 0.0717 2024-01-03 21:58:18,741 - mmseg - INFO - Iter [28200/38400] lr: 8.213e-04, eta: 0:19:39, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2006, decode.loss_grad: 0.0000, loss: 0.2006, grad_norm: 0.0683 2024-01-03 21:58:24,316 - mmseg - INFO - Iter [28250/38400] lr: 8.137e-04, eta: 0:19:33, time: 0.112, data_time: 0.004, memory: 805, decode.loss_depth: 0.1946, decode.loss_grad: 0.0000, loss: 0.1946, grad_norm: 0.0732 2024-01-03 21:58:29,843 - mmseg - INFO - Iter [28300/38400] lr: 8.062e-04, eta: 0:19:27, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2005, decode.loss_grad: 0.0000, loss: 0.2005, grad_norm: 0.0722 2024-01-03 21:58:35,357 - mmseg - INFO - Iter [28350/38400] lr: 7.986e-04, eta: 0:19:21, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2002, decode.loss_grad: 0.0000, loss: 0.2002, grad_norm: 0.0713 2024-01-03 21:58:40,887 - mmseg - INFO - Iter [28400/38400] lr: 7.912e-04, eta: 0:19:16, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1989, decode.loss_grad: 0.0000, loss: 0.1989, grad_norm: 0.0686 2024-01-03 21:58:46,437 - mmseg - INFO - Iter [28450/38400] lr: 7.837e-04, eta: 0:19:10, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2053, decode.loss_grad: 0.0000, loss: 0.2053, grad_norm: 0.0688 2024-01-03 21:58:51,959 - mmseg - INFO - Iter [28500/38400] lr: 7.763e-04, eta: 0:19:04, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.1972, decode.loss_grad: 0.0000, loss: 0.1972, grad_norm: 0.0701 2024-01-03 21:58:57,472 - mmseg - INFO - Iter [28550/38400] lr: 7.689e-04, eta: 0:18:58, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.1989, decode.loss_grad: 0.0000, loss: 0.1989, grad_norm: 0.0722 2024-01-03 21:59:02,983 - mmseg - INFO - Iter [28600/38400] lr: 7.615e-04, eta: 0:18:52, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2068, decode.loss_grad: 0.0000, loss: 0.2068, grad_norm: 0.0708 2024-01-03 21:59:08,519 - mmseg - INFO - Iter [28650/38400] lr: 7.542e-04, eta: 0:18:46, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2035, decode.loss_grad: 0.0000, loss: 0.2035, grad_norm: 0.0721 2024-01-03 21:59:14,074 - mmseg - INFO - Iter [28700/38400] lr: 7.469e-04, eta: 0:18:40, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2090, decode.loss_grad: 0.0000, loss: 0.2090, grad_norm: 0.0709 2024-01-03 21:59:19,600 - mmseg - INFO - Iter [28750/38400] lr: 7.396e-04, eta: 0:18:35, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2001, decode.loss_grad: 0.0000, loss: 0.2001, grad_norm: 0.0709 2024-01-03 21:59:27,296 - mmseg - INFO - Saving checkpoint at 28800 iterations 2024-01-03 21:59:27,333 - mmseg - INFO - Iter [28800/38400] lr: 7.324e-04, eta: 0:18:29, time: 0.155, data_time: 0.047, memory: 805, decode.loss_depth: 0.1990, decode.loss_grad: 0.0000, loss: 0.1990, grad_norm: 0.0676 2024-01-03 21:59:37,045 - mmseg - INFO - Summary: 2024-01-03 21:59:37,046 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.6214 | 0.8805 | 0.9637 | 0.2583 | 0.7143 | 0.095 | 0.2654 | 19.4416 | 0.2533 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 21:59:37,046 - mmseg - INFO - Iter(val) [82] a1: 0.6214, a2: 0.8805, a3: 0.9637, abs_rel: 0.25826722383499146, rmse: 0.7143000364303589, log_10: 0.09502598643302917, rmse_log: 0.26541563868522644, silog: 19.4416, sq_rel: 0.2533396780490875 2024-01-03 21:59:42,492 - mmseg - INFO - Iter [28850/38400] lr: 7.252e-04, eta: 0:18:27, time: 0.303, data_time: 0.198, memory: 805, decode.loss_depth: 0.2006, decode.loss_grad: 0.0000, loss: 0.2006, grad_norm: 0.0700 2024-01-03 21:59:48,069 - mmseg - INFO - Iter [28900/38400] lr: 7.180e-04, eta: 0:18:21, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2041, decode.loss_grad: 0.0000, loss: 0.2041, grad_norm: 0.0714 2024-01-03 21:59:53,602 - mmseg - INFO - Iter [28950/38400] lr: 7.108e-04, eta: 0:18:15, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2046, decode.loss_grad: 0.0000, loss: 0.2046, grad_norm: 0.0709 2024-01-03 21:59:59,141 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:59:59,141 - mmseg - INFO - Iter [29000/38400] lr: 7.037e-04, eta: 0:18:09, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2038, decode.loss_grad: 0.0000, loss: 0.2038, grad_norm: 0.0726 2024-01-03 22:00:04,689 - mmseg - INFO - Iter [29050/38400] lr: 6.966e-04, eta: 0:18:03, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2057, decode.loss_grad: 0.0000, loss: 0.2057, grad_norm: 0.0715 2024-01-03 22:00:10,224 - mmseg - INFO - Iter [29100/38400] lr: 6.895e-04, eta: 0:17:57, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1972, decode.loss_grad: 0.0000, loss: 0.1972, grad_norm: 0.0712 2024-01-03 22:00:15,755 - mmseg - INFO - Iter [29150/38400] lr: 6.825e-04, eta: 0:17:52, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2016, decode.loss_grad: 0.0000, loss: 0.2016, grad_norm: 0.0663 2024-01-03 22:00:21,311 - mmseg - INFO - Iter [29200/38400] lr: 6.755e-04, eta: 0:17:46, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1990, decode.loss_grad: 0.0000, loss: 0.1990, grad_norm: 0.0693 2024-01-03 22:00:26,861 - mmseg - INFO - Iter [29250/38400] lr: 6.685e-04, eta: 0:17:40, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2044, decode.loss_grad: 0.0000, loss: 0.2044, grad_norm: 0.0737 2024-01-03 22:00:32,339 - mmseg - INFO - Iter [29300/38400] lr: 6.616e-04, eta: 0:17:34, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2020, decode.loss_grad: 0.0000, loss: 0.2020, grad_norm: 0.0728 2024-01-03 22:00:37,880 - mmseg - INFO - Iter [29350/38400] lr: 6.546e-04, eta: 0:17:28, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2001, decode.loss_grad: 0.0000, loss: 0.2001, grad_norm: 0.0686 2024-01-03 22:00:43,402 - mmseg - INFO - Iter [29400/38400] lr: 6.478e-04, eta: 0:17:22, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2020, decode.loss_grad: 0.0000, loss: 0.2020, grad_norm: 0.0729 2024-01-03 22:00:48,915 - mmseg - INFO - Iter [29450/38400] lr: 6.409e-04, eta: 0:17:16, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2030, decode.loss_grad: 0.0000, loss: 0.2030, grad_norm: 0.0711 2024-01-03 22:00:54,439 - mmseg - INFO - Iter [29500/38400] lr: 6.341e-04, eta: 0:17:10, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.1980, decode.loss_grad: 0.0000, loss: 0.1980, grad_norm: 0.0717 2024-01-03 22:00:59,956 - mmseg - INFO - Iter [29550/38400] lr: 6.273e-04, eta: 0:17:05, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2047, decode.loss_grad: 0.0000, loss: 0.2047, grad_norm: 0.0713 2024-01-03 22:01:05,496 - mmseg - INFO - Iter [29600/38400] lr: 6.205e-04, eta: 0:16:59, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1977, decode.loss_grad: 0.0000, loss: 0.1977, grad_norm: 0.0703 2024-01-03 22:01:10,988 - mmseg - INFO - Iter [29650/38400] lr: 6.138e-04, eta: 0:16:53, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.1984, decode.loss_grad: 0.0000, loss: 0.1984, grad_norm: 0.0708 2024-01-03 22:01:16,553 - mmseg - INFO - Iter [29700/38400] lr: 6.071e-04, eta: 0:16:47, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1992, decode.loss_grad: 0.0000, loss: 0.1992, grad_norm: 0.0707 2024-01-03 22:01:22,051 - mmseg - INFO - Iter [29750/38400] lr: 6.004e-04, eta: 0:16:41, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.1974, decode.loss_grad: 0.0000, loss: 0.1974, grad_norm: 0.0698 2024-01-03 22:01:27,586 - mmseg - INFO - Iter [29800/38400] lr: 5.938e-04, eta: 0:16:35, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2036, decode.loss_grad: 0.0000, loss: 0.2036, grad_norm: 0.0701 2024-01-03 22:01:33,160 - mmseg - INFO - Iter [29850/38400] lr: 5.872e-04, eta: 0:16:29, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2003, decode.loss_grad: 0.0000, loss: 0.2003, grad_norm: 0.0713 2024-01-03 22:01:38,753 - mmseg - INFO - Iter [29900/38400] lr: 5.806e-04, eta: 0:16:23, time: 0.112, data_time: 0.004, memory: 805, decode.loss_depth: 0.1972, decode.loss_grad: 0.0000, loss: 0.1972, grad_norm: 0.0684 2024-01-03 22:01:44,313 - mmseg - INFO - Iter [29950/38400] lr: 5.741e-04, eta: 0:16:18, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2040, decode.loss_grad: 0.0000, loss: 0.2040, grad_norm: 0.0667 2024-01-03 22:01:49,826 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:01:49,826 - mmseg - INFO - Iter [30000/38400] lr: 5.676e-04, eta: 0:16:12, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.1990, decode.loss_grad: 0.0000, loss: 0.1990, grad_norm: 0.0694 2024-01-03 22:01:55,340 - mmseg - INFO - Iter [30050/38400] lr: 5.611e-04, eta: 0:16:06, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2003, decode.loss_grad: 0.0000, loss: 0.2003, grad_norm: 0.0711 2024-01-03 22:02:00,867 - mmseg - INFO - Iter [30100/38400] lr: 5.547e-04, eta: 0:16:00, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1977, decode.loss_grad: 0.0000, loss: 0.1977, grad_norm: 0.0698 2024-01-03 22:02:06,359 - mmseg - INFO - Iter [30150/38400] lr: 5.483e-04, eta: 0:15:54, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.1954, decode.loss_grad: 0.0000, loss: 0.1954, grad_norm: 0.0684 2024-01-03 22:02:11,864 - mmseg - INFO - Iter [30200/38400] lr: 5.419e-04, eta: 0:15:48, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.1986, decode.loss_grad: 0.0000, loss: 0.1986, grad_norm: 0.0701 2024-01-03 22:02:17,387 - mmseg - INFO - Iter [30250/38400] lr: 5.356e-04, eta: 0:15:42, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.1965, decode.loss_grad: 0.0000, loss: 0.1965, grad_norm: 0.0721 2024-01-03 22:02:25,132 - mmseg - INFO - Iter [30300/38400] lr: 5.293e-04, eta: 0:15:37, time: 0.155, data_time: 0.048, memory: 805, decode.loss_depth: 0.2000, decode.loss_grad: 0.0000, loss: 0.2000, grad_norm: 0.0681 2024-01-03 22:02:30,619 - mmseg - INFO - Iter [30350/38400] lr: 5.230e-04, eta: 0:15:31, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.1993, decode.loss_grad: 0.0000, loss: 0.1993, grad_norm: 0.0700 2024-01-03 22:02:36,094 - mmseg - INFO - Saving checkpoint at 30400 iterations 2024-01-03 22:02:36,119 - mmseg - INFO - Iter [30400/38400] lr: 5.167e-04, eta: 0:15:25, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.1982, decode.loss_grad: 0.0000, loss: 0.1982, grad_norm: 0.0711 2024-01-03 22:02:41,625 - mmseg - INFO - Iter [30450/38400] lr: 5.105e-04, eta: 0:15:20, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.1976, decode.loss_grad: 0.0000, loss: 0.1976, grad_norm: 0.0684 2024-01-03 22:02:47,139 - mmseg - INFO - Iter [30500/38400] lr: 5.044e-04, eta: 0:15:14, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2013, decode.loss_grad: 0.0000, loss: 0.2013, grad_norm: 0.0727 2024-01-03 22:02:52,652 - mmseg - INFO - Iter [30550/38400] lr: 4.982e-04, eta: 0:15:08, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2009, decode.loss_grad: 0.0000, loss: 0.2009, grad_norm: 0.0672 2024-01-03 22:02:58,200 - mmseg - INFO - Iter [30600/38400] lr: 4.921e-04, eta: 0:15:02, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.1991, decode.loss_grad: 0.0000, loss: 0.1991, grad_norm: 0.0699 2024-01-03 22:03:03,756 - mmseg - INFO - Iter [30650/38400] lr: 4.860e-04, eta: 0:14:56, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2001, decode.loss_grad: 0.0000, loss: 0.2001, grad_norm: 0.0741 2024-01-03 22:03:09,325 - mmseg - INFO - Iter [30700/38400] lr: 4.800e-04, eta: 0:14:50, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1981, decode.loss_grad: 0.0000, loss: 0.1981, grad_norm: 0.0709 2024-01-03 22:03:14,844 - mmseg - INFO - Iter [30750/38400] lr: 4.740e-04, eta: 0:14:44, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.1990, decode.loss_grad: 0.0000, loss: 0.1990, grad_norm: 0.0663 2024-01-03 22:03:20,376 - mmseg - INFO - Iter [30800/38400] lr: 4.680e-04, eta: 0:14:39, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2007, decode.loss_grad: 0.0000, loss: 0.2007, grad_norm: 0.0660 2024-01-03 22:03:25,902 - mmseg - INFO - Iter [30850/38400] lr: 4.621e-04, eta: 0:14:33, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.1911, decode.loss_grad: 0.0000, loss: 0.1911, grad_norm: 0.0691 2024-01-03 22:03:31,426 - mmseg - INFO - Iter [30900/38400] lr: 4.562e-04, eta: 0:14:27, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2030, decode.loss_grad: 0.0000, loss: 0.2030, grad_norm: 0.0687 2024-01-03 22:03:36,954 - mmseg - INFO - Iter [30950/38400] lr: 4.503e-04, eta: 0:14:21, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1989, decode.loss_grad: 0.0000, loss: 0.1989, grad_norm: 0.0721 2024-01-03 22:03:42,491 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:03:42,491 - mmseg - INFO - Iter [31000/38400] lr: 4.444e-04, eta: 0:14:15, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2053, decode.loss_grad: 0.0000, loss: 0.2053, grad_norm: 0.0719 2024-01-03 22:03:48,022 - mmseg - INFO - Iter [31050/38400] lr: 4.386e-04, eta: 0:14:09, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1991, decode.loss_grad: 0.0000, loss: 0.1991, grad_norm: 0.0716 2024-01-03 22:03:53,580 - mmseg - INFO - Iter [31100/38400] lr: 4.329e-04, eta: 0:14:04, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.1997, decode.loss_grad: 0.0000, loss: 0.1997, grad_norm: 0.0709 2024-01-03 22:03:59,096 - mmseg - INFO - Iter [31150/38400] lr: 4.271e-04, eta: 0:13:58, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.1987, decode.loss_grad: 0.0000, loss: 0.1987, grad_norm: 0.0657 2024-01-03 22:04:04,603 - mmseg - INFO - Iter [31200/38400] lr: 4.214e-04, eta: 0:13:52, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.1963, decode.loss_grad: 0.0000, loss: 0.1963, grad_norm: 0.0713 2024-01-03 22:04:10,136 - mmseg - INFO - Iter [31250/38400] lr: 4.158e-04, eta: 0:13:46, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2041, decode.loss_grad: 0.0000, loss: 0.2041, grad_norm: 0.0715 2024-01-03 22:04:15,695 - mmseg - INFO - Iter [31300/38400] lr: 4.101e-04, eta: 0:13:40, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1976, decode.loss_grad: 0.0000, loss: 0.1976, grad_norm: 0.0685 2024-01-03 22:04:21,243 - mmseg - INFO - Iter [31350/38400] lr: 4.045e-04, eta: 0:13:34, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2031, decode.loss_grad: 0.0000, loss: 0.2031, grad_norm: 0.0689 2024-01-03 22:04:26,776 - mmseg - INFO - Iter [31400/38400] lr: 3.990e-04, eta: 0:13:29, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1953, decode.loss_grad: 0.0000, loss: 0.1953, grad_norm: 0.0677 2024-01-03 22:04:32,336 - mmseg - INFO - Iter [31450/38400] lr: 3.935e-04, eta: 0:13:23, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.1987, decode.loss_grad: 0.0000, loss: 0.1987, grad_norm: 0.0728 2024-01-03 22:04:37,857 - mmseg - INFO - Iter [31500/38400] lr: 3.880e-04, eta: 0:13:17, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.1982, decode.loss_grad: 0.0000, loss: 0.1982, grad_norm: 0.0710 2024-01-03 22:04:43,357 - mmseg - INFO - Iter [31550/38400] lr: 3.825e-04, eta: 0:13:11, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.2013, decode.loss_grad: 0.0000, loss: 0.2013, grad_norm: 0.0717 2024-01-03 22:04:48,856 - mmseg - INFO - Iter [31600/38400] lr: 3.771e-04, eta: 0:13:05, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.1994, decode.loss_grad: 0.0000, loss: 0.1994, grad_norm: 0.0674 2024-01-03 22:04:54,435 - mmseg - INFO - Iter [31650/38400] lr: 3.717e-04, eta: 0:12:59, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2023, decode.loss_grad: 0.0000, loss: 0.2023, grad_norm: 0.0683 2024-01-03 22:05:00,005 - mmseg - INFO - Iter [31700/38400] lr: 3.664e-04, eta: 0:12:54, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2032, decode.loss_grad: 0.0000, loss: 0.2032, grad_norm: 0.0698 2024-01-03 22:05:05,513 - mmseg - INFO - Iter [31750/38400] lr: 3.611e-04, eta: 0:12:48, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2024, decode.loss_grad: 0.0000, loss: 0.2024, grad_norm: 0.0710 2024-01-03 22:05:13,197 - mmseg - INFO - Iter [31800/38400] lr: 3.558e-04, eta: 0:12:42, time: 0.154, data_time: 0.048, memory: 805, decode.loss_depth: 0.2001, decode.loss_grad: 0.0000, loss: 0.2001, grad_norm: 0.0719 2024-01-03 22:05:18,737 - mmseg - INFO - Iter [31850/38400] lr: 3.505e-04, eta: 0:12:37, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1978, decode.loss_grad: 0.0000, loss: 0.1978, grad_norm: 0.0704 2024-01-03 22:05:24,239 - mmseg - INFO - Iter [31900/38400] lr: 3.453e-04, eta: 0:12:31, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.1965, decode.loss_grad: 0.0000, loss: 0.1965, grad_norm: 0.0724 2024-01-03 22:05:29,708 - mmseg - INFO - Iter [31950/38400] lr: 3.402e-04, eta: 0:12:25, time: 0.109, data_time: 0.003, memory: 805, decode.loss_depth: 0.2010, decode.loss_grad: 0.0000, loss: 0.2010, grad_norm: 0.0706 2024-01-03 22:05:35,233 - mmseg - INFO - Saving checkpoint at 32000 iterations 2024-01-03 22:05:35,259 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:05:35,260 - mmseg - INFO - Iter [32000/38400] lr: 3.350e-04, eta: 0:12:19, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2032, decode.loss_grad: 0.0000, loss: 0.2032, grad_norm: 0.0706 2024-01-03 22:05:44,959 - mmseg - INFO - Summary: 2024-01-03 22:05:44,960 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.6234 | 0.8818 | 0.9644 | 0.256 | 0.7085 | 0.0945 | 0.2643 | 19.4604 | 0.2481 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 22:05:44,960 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:05:44,960 - mmseg - INFO - Iter(val) [82] a1: 0.6234, a2: 0.8818, a3: 0.9644, abs_rel: 0.2559942305088043, rmse: 0.7085015773773193, log_10: 0.09449852257966995, rmse_log: 0.26434069871902466, silog: 19.4604, sq_rel: 0.2480514943599701 2024-01-03 22:05:50,454 - mmseg - INFO - Iter [32050/38400] lr: 3.299e-04, eta: 0:12:15, time: 0.304, data_time: 0.198, memory: 805, decode.loss_depth: 0.2038, decode.loss_grad: 0.0000, loss: 0.2038, grad_norm: 0.0716 2024-01-03 22:05:55,993 - mmseg - INFO - Iter [32100/38400] lr: 3.249e-04, eta: 0:12:09, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2033, decode.loss_grad: 0.0000, loss: 0.2033, grad_norm: 0.0694 2024-01-03 22:06:01,566 - mmseg - INFO - Iter [32150/38400] lr: 3.199e-04, eta: 0:12:03, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1986, decode.loss_grad: 0.0000, loss: 0.1986, grad_norm: 0.0688 2024-01-03 22:06:07,094 - mmseg - INFO - Iter [32200/38400] lr: 3.149e-04, eta: 0:11:58, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1987, decode.loss_grad: 0.0000, loss: 0.1987, grad_norm: 0.0741 2024-01-03 22:06:12,649 - mmseg - INFO - Iter [32250/38400] lr: 3.099e-04, eta: 0:11:52, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1958, decode.loss_grad: 0.0000, loss: 0.1958, grad_norm: 0.0657 2024-01-03 22:06:18,187 - mmseg - INFO - Iter [32300/38400] lr: 3.050e-04, eta: 0:11:46, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1957, decode.loss_grad: 0.0000, loss: 0.1957, grad_norm: 0.0687 2024-01-03 22:06:23,677 - mmseg - INFO - Iter [32350/38400] lr: 3.001e-04, eta: 0:11:40, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.1958, decode.loss_grad: 0.0000, loss: 0.1958, grad_norm: 0.0715 2024-01-03 22:06:29,219 - mmseg - INFO - Iter [32400/38400] lr: 2.953e-04, eta: 0:11:34, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2041, decode.loss_grad: 0.0000, loss: 0.2041, grad_norm: 0.0702 2024-01-03 22:06:34,736 - mmseg - INFO - Iter [32450/38400] lr: 2.905e-04, eta: 0:11:28, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2005, decode.loss_grad: 0.0000, loss: 0.2005, grad_norm: 0.0702 2024-01-03 22:06:40,301 - mmseg - INFO - Iter [32500/38400] lr: 2.857e-04, eta: 0:11:23, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.1999, decode.loss_grad: 0.0000, loss: 0.1999, grad_norm: 0.0664 2024-01-03 22:06:45,822 - mmseg - INFO - Iter [32550/38400] lr: 2.810e-04, eta: 0:11:17, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2005, decode.loss_grad: 0.0000, loss: 0.2005, grad_norm: 0.0712 2024-01-03 22:06:51,330 - mmseg - INFO - Iter [32600/38400] lr: 2.763e-04, eta: 0:11:11, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.1986, decode.loss_grad: 0.0000, loss: 0.1986, grad_norm: 0.0658 2024-01-03 22:06:56,895 - mmseg - INFO - Iter [32650/38400] lr: 2.716e-04, eta: 0:11:05, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.1977, decode.loss_grad: 0.0000, loss: 0.1977, grad_norm: 0.0694 2024-01-03 22:07:02,455 - mmseg - INFO - Iter [32700/38400] lr: 2.670e-04, eta: 0:10:59, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.1974, decode.loss_grad: 0.0000, loss: 0.1974, grad_norm: 0.0716 2024-01-03 22:07:08,009 - mmseg - INFO - Iter [32750/38400] lr: 2.625e-04, eta: 0:10:53, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2046, decode.loss_grad: 0.0000, loss: 0.2046, grad_norm: 0.0721 2024-01-03 22:07:13,567 - mmseg - INFO - Iter [32800/38400] lr: 2.579e-04, eta: 0:10:48, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.1994, decode.loss_grad: 0.0000, loss: 0.1994, grad_norm: 0.0687 2024-01-03 22:07:19,112 - mmseg - INFO - Iter [32850/38400] lr: 2.534e-04, eta: 0:10:42, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2016, decode.loss_grad: 0.0000, loss: 0.2016, grad_norm: 0.0670 2024-01-03 22:07:24,619 - mmseg - INFO - Iter [32900/38400] lr: 2.489e-04, eta: 0:10:36, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.1963, decode.loss_grad: 0.0000, loss: 0.1963, grad_norm: 0.0684 2024-01-03 22:07:30,167 - mmseg - INFO - Iter [32950/38400] lr: 2.445e-04, eta: 0:10:30, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2031, decode.loss_grad: 0.0000, loss: 0.2031, grad_norm: 0.0692 2024-01-03 22:07:35,694 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:07:35,694 - mmseg - INFO - Iter [33000/38400] lr: 2.401e-04, eta: 0:10:24, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1937, decode.loss_grad: 0.0000, loss: 0.1937, grad_norm: 0.0666 2024-01-03 22:07:41,223 - mmseg - INFO - Iter [33050/38400] lr: 2.358e-04, eta: 0:10:18, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2023, decode.loss_grad: 0.0000, loss: 0.2023, grad_norm: 0.0700 2024-01-03 22:07:46,792 - mmseg - INFO - Iter [33100/38400] lr: 2.314e-04, eta: 0:10:13, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1945, decode.loss_grad: 0.0000, loss: 0.1945, grad_norm: 0.0688 2024-01-03 22:07:52,282 - mmseg - INFO - Iter [33150/38400] lr: 2.272e-04, eta: 0:10:07, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2012, decode.loss_grad: 0.0000, loss: 0.2012, grad_norm: 0.0703 2024-01-03 22:07:57,800 - mmseg - INFO - Iter [33200/38400] lr: 2.229e-04, eta: 0:10:01, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.1955, decode.loss_grad: 0.0000, loss: 0.1955, grad_norm: 0.0665 2024-01-03 22:08:03,350 - mmseg - INFO - Iter [33250/38400] lr: 2.187e-04, eta: 0:09:55, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2005, decode.loss_grad: 0.0000, loss: 0.2005, grad_norm: 0.0672 2024-01-03 22:08:08,982 - mmseg - INFO - Iter [33300/38400] lr: 2.146e-04, eta: 0:09:49, time: 0.113, data_time: 0.004, memory: 805, decode.loss_depth: 0.2005, decode.loss_grad: 0.0000, loss: 0.2005, grad_norm: 0.0721 2024-01-03 22:08:16,767 - mmseg - INFO - Iter [33350/38400] lr: 2.104e-04, eta: 0:09:44, time: 0.156, data_time: 0.047, memory: 805, decode.loss_depth: 0.2025, decode.loss_grad: 0.0000, loss: 0.2025, grad_norm: 0.0685 2024-01-03 22:08:22,506 - mmseg - INFO - Iter [33400/38400] lr: 2.063e-04, eta: 0:09:38, time: 0.115, data_time: 0.004, memory: 805, decode.loss_depth: 0.1983, decode.loss_grad: 0.0000, loss: 0.1983, grad_norm: 0.0661 2024-01-03 22:08:28,097 - mmseg - INFO - Iter [33450/38400] lr: 2.023e-04, eta: 0:09:32, time: 0.112, data_time: 0.004, memory: 805, decode.loss_depth: 0.2050, decode.loss_grad: 0.0000, loss: 0.2050, grad_norm: 0.0676 2024-01-03 22:08:33,708 - mmseg - INFO - Iter [33500/38400] lr: 1.983e-04, eta: 0:09:26, time: 0.112, data_time: 0.004, memory: 805, decode.loss_depth: 0.2010, decode.loss_grad: 0.0000, loss: 0.2010, grad_norm: 0.0718 2024-01-03 22:08:39,276 - mmseg - INFO - Iter [33550/38400] lr: 1.943e-04, eta: 0:09:21, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2034, decode.loss_grad: 0.0000, loss: 0.2034, grad_norm: 0.0693 2024-01-03 22:08:44,884 - mmseg - INFO - Saving checkpoint at 33600 iterations 2024-01-03 22:08:44,920 - mmseg - INFO - Iter [33600/38400] lr: 1.904e-04, eta: 0:09:15, time: 0.113, data_time: 0.004, memory: 805, decode.loss_depth: 0.1995, decode.loss_grad: 0.0000, loss: 0.1995, grad_norm: 0.0700 2024-01-03 22:08:50,481 - mmseg - INFO - Iter [33650/38400] lr: 1.865e-04, eta: 0:09:09, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1992, decode.loss_grad: 0.0000, loss: 0.1992, grad_norm: 0.0674 2024-01-03 22:08:56,064 - mmseg - INFO - Iter [33700/38400] lr: 1.826e-04, eta: 0:09:03, time: 0.112, data_time: 0.004, memory: 805, decode.loss_depth: 0.1951, decode.loss_grad: 0.0000, loss: 0.1951, grad_norm: 0.0675 2024-01-03 22:09:01,658 - mmseg - INFO - Iter [33750/38400] lr: 1.788e-04, eta: 0:08:57, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2005, decode.loss_grad: 0.0000, loss: 0.2005, grad_norm: 0.0722 2024-01-03 22:09:07,327 - mmseg - INFO - Iter [33800/38400] lr: 1.750e-04, eta: 0:08:52, time: 0.113, data_time: 0.004, memory: 805, decode.loss_depth: 0.1989, decode.loss_grad: 0.0000, loss: 0.1989, grad_norm: 0.0656 2024-01-03 22:09:12,949 - mmseg - INFO - Iter [33850/38400] lr: 1.713e-04, eta: 0:08:46, time: 0.112, data_time: 0.004, memory: 805, decode.loss_depth: 0.1955, decode.loss_grad: 0.0000, loss: 0.1955, grad_norm: 0.0742 2024-01-03 22:09:18,556 - mmseg - INFO - Iter [33900/38400] lr: 1.676e-04, eta: 0:08:40, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.1947, decode.loss_grad: 0.0000, loss: 0.1947, grad_norm: 0.0696 2024-01-03 22:09:24,171 - mmseg - INFO - Iter [33950/38400] lr: 1.639e-04, eta: 0:08:34, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.1944, decode.loss_grad: 0.0000, loss: 0.1944, grad_norm: 0.0686 2024-01-03 22:09:29,755 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:09:29,755 - mmseg - INFO - Iter [34000/38400] lr: 1.603e-04, eta: 0:08:28, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.1967, decode.loss_grad: 0.0000, loss: 0.1967, grad_norm: 0.0714 2024-01-03 22:09:35,401 - mmseg - INFO - Iter [34050/38400] lr: 1.567e-04, eta: 0:08:23, time: 0.113, data_time: 0.003, memory: 805, decode.loss_depth: 0.2043, decode.loss_grad: 0.0000, loss: 0.2043, grad_norm: 0.0688 2024-01-03 22:09:40,964 - mmseg - INFO - Iter [34100/38400] lr: 1.532e-04, eta: 0:08:17, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.1987, decode.loss_grad: 0.0000, loss: 0.1987, grad_norm: 0.0702 2024-01-03 22:09:46,538 - mmseg - INFO - Iter [34150/38400] lr: 1.497e-04, eta: 0:08:11, time: 0.112, data_time: 0.004, memory: 805, decode.loss_depth: 0.1969, decode.loss_grad: 0.0000, loss: 0.1969, grad_norm: 0.0707 2024-01-03 22:09:52,096 - mmseg - INFO - Iter [34200/38400] lr: 1.462e-04, eta: 0:08:05, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2008, decode.loss_grad: 0.0000, loss: 0.2008, grad_norm: 0.0715 2024-01-03 22:09:57,688 - mmseg - INFO - Iter [34250/38400] lr: 1.428e-04, eta: 0:07:59, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.2033, decode.loss_grad: 0.0000, loss: 0.2033, grad_norm: 0.0715 2024-01-03 22:10:03,293 - mmseg - INFO - Iter [34300/38400] lr: 1.394e-04, eta: 0:07:54, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.1987, decode.loss_grad: 0.0000, loss: 0.1987, grad_norm: 0.0668 2024-01-03 22:10:08,834 - mmseg - INFO - Iter [34350/38400] lr: 1.360e-04, eta: 0:07:48, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2003, decode.loss_grad: 0.0000, loss: 0.2003, grad_norm: 0.0710 2024-01-03 22:10:14,388 - mmseg - INFO - Iter [34400/38400] lr: 1.327e-04, eta: 0:07:42, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1972, decode.loss_grad: 0.0000, loss: 0.1972, grad_norm: 0.0697 2024-01-03 22:10:19,927 - mmseg - INFO - Iter [34450/38400] lr: 1.295e-04, eta: 0:07:36, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1941, decode.loss_grad: 0.0000, loss: 0.1941, grad_norm: 0.0704 2024-01-03 22:10:25,521 - mmseg - INFO - Iter [34500/38400] lr: 1.262e-04, eta: 0:07:30, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.1990, decode.loss_grad: 0.0000, loss: 0.1990, grad_norm: 0.0720 2024-01-03 22:10:31,122 - mmseg - INFO - Iter [34550/38400] lr: 1.231e-04, eta: 0:07:25, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.1994, decode.loss_grad: 0.0000, loss: 0.1994, grad_norm: 0.0687 2024-01-03 22:10:36,726 - mmseg - INFO - Iter [34600/38400] lr: 1.199e-04, eta: 0:07:19, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.1977, decode.loss_grad: 0.0000, loss: 0.1977, grad_norm: 0.0671 2024-01-03 22:10:42,294 - mmseg - INFO - Iter [34650/38400] lr: 1.168e-04, eta: 0:07:13, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1957, decode.loss_grad: 0.0000, loss: 0.1957, grad_norm: 0.0648 2024-01-03 22:10:47,967 - mmseg - INFO - Iter [34700/38400] lr: 1.137e-04, eta: 0:07:07, time: 0.113, data_time: 0.003, memory: 805, decode.loss_depth: 0.1991, decode.loss_grad: 0.0000, loss: 0.1991, grad_norm: 0.0712 2024-01-03 22:10:53,573 - mmseg - INFO - Iter [34750/38400] lr: 1.107e-04, eta: 0:07:01, time: 0.112, data_time: 0.004, memory: 805, decode.loss_depth: 0.1982, decode.loss_grad: 0.0000, loss: 0.1982, grad_norm: 0.0673 2024-01-03 22:10:59,155 - mmseg - INFO - Iter [34800/38400] lr: 1.077e-04, eta: 0:06:56, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.1993, decode.loss_grad: 0.0000, loss: 0.1993, grad_norm: 0.0667 2024-01-03 22:11:06,831 - mmseg - INFO - Iter [34850/38400] lr: 1.048e-04, eta: 0:06:50, time: 0.153, data_time: 0.047, memory: 805, decode.loss_depth: 0.1905, decode.loss_grad: 0.0000, loss: 0.1905, grad_norm: 0.0694 2024-01-03 22:11:12,332 - mmseg - INFO - Iter [34900/38400] lr: 1.018e-04, eta: 0:06:44, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.1993, decode.loss_grad: 0.0000, loss: 0.1993, grad_norm: 0.0696 2024-01-03 22:11:17,882 - mmseg - INFO - Iter [34950/38400] lr: 9.898e-05, eta: 0:06:38, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1984, decode.loss_grad: 0.0000, loss: 0.1984, grad_norm: 0.0678 2024-01-03 22:11:23,395 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:11:23,396 - mmseg - INFO - Iter [35000/38400] lr: 9.615e-05, eta: 0:06:33, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2023, decode.loss_grad: 0.0000, loss: 0.2023, grad_norm: 0.0698 2024-01-03 22:11:28,909 - mmseg - INFO - Iter [35050/38400] lr: 9.336e-05, eta: 0:06:27, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2013, decode.loss_grad: 0.0000, loss: 0.2013, grad_norm: 0.0697 2024-01-03 22:11:34,429 - mmseg - INFO - Iter [35100/38400] lr: 9.061e-05, eta: 0:06:21, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.1991, decode.loss_grad: 0.0000, loss: 0.1991, grad_norm: 0.0706 2024-01-03 22:11:39,913 - mmseg - INFO - Iter [35150/38400] lr: 8.791e-05, eta: 0:06:15, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.1986, decode.loss_grad: 0.0000, loss: 0.1986, grad_norm: 0.0689 2024-01-03 22:11:45,477 - mmseg - INFO - Saving checkpoint at 35200 iterations 2024-01-03 22:11:45,511 - mmseg - INFO - Iter [35200/38400] lr: 8.524e-05, eta: 0:06:09, time: 0.112, data_time: 0.004, memory: 805, decode.loss_depth: 0.2013, decode.loss_grad: 0.0000, loss: 0.2013, grad_norm: 0.0660 2024-01-03 22:11:55,252 - mmseg - INFO - Summary: 2024-01-03 22:11:55,253 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.6263 | 0.8838 | 0.9654 | 0.2536 | 0.7029 | 0.0939 | 0.2624 | 19.3387 | 0.2424 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 22:11:55,253 - mmseg - INFO - Iter(val) [82] a1: 0.6263, a2: 0.8838, a3: 0.9654, abs_rel: 0.25358065962791443, rmse: 0.7029350996017456, log_10: 0.09385832399129868, rmse_log: 0.26240941882133484, silog: 19.3387, sq_rel: 0.2423752248287201 2024-01-03 22:12:00,770 - mmseg - INFO - Iter [35250/38400] lr: 8.261e-05, eta: 0:06:04, time: 0.305, data_time: 0.198, memory: 805, decode.loss_depth: 0.1973, decode.loss_grad: 0.0000, loss: 0.1973, grad_norm: 0.0695 2024-01-03 22:12:06,310 - mmseg - INFO - Iter [35300/38400] lr: 8.002e-05, eta: 0:05:59, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1919, decode.loss_grad: 0.0000, loss: 0.1919, grad_norm: 0.0679 2024-01-03 22:12:11,834 - mmseg - INFO - Iter [35350/38400] lr: 7.748e-05, eta: 0:05:53, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.1985, decode.loss_grad: 0.0000, loss: 0.1985, grad_norm: 0.0653 2024-01-03 22:12:17,408 - mmseg - INFO - Iter [35400/38400] lr: 7.497e-05, eta: 0:05:47, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2014, decode.loss_grad: 0.0000, loss: 0.2014, grad_norm: 0.0731 2024-01-03 22:12:22,932 - mmseg - INFO - Iter [35450/38400] lr: 7.251e-05, eta: 0:05:41, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2025, decode.loss_grad: 0.0000, loss: 0.2025, grad_norm: 0.0680 2024-01-03 22:12:28,453 - mmseg - INFO - Iter [35500/38400] lr: 7.008e-05, eta: 0:05:35, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.1952, decode.loss_grad: 0.0000, loss: 0.1952, grad_norm: 0.0687 2024-01-03 22:12:33,995 - mmseg - INFO - Iter [35550/38400] lr: 6.770e-05, eta: 0:05:30, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2055, decode.loss_grad: 0.0000, loss: 0.2055, grad_norm: 0.0660 2024-01-03 22:12:39,510 - mmseg - INFO - Iter [35600/38400] lr: 6.535e-05, eta: 0:05:24, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.1991, decode.loss_grad: 0.0000, loss: 0.1991, grad_norm: 0.0702 2024-01-03 22:12:45,081 - mmseg - INFO - Iter [35650/38400] lr: 6.305e-05, eta: 0:05:18, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.1965, decode.loss_grad: 0.0000, loss: 0.1965, grad_norm: 0.0707 2024-01-03 22:12:50,608 - mmseg - INFO - Iter [35700/38400] lr: 6.079e-05, eta: 0:05:12, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.1962, decode.loss_grad: 0.0000, loss: 0.1962, grad_norm: 0.0699 2024-01-03 22:12:56,150 - mmseg - INFO - Iter [35750/38400] lr: 5.857e-05, eta: 0:05:06, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1965, decode.loss_grad: 0.0000, loss: 0.1965, grad_norm: 0.0706 2024-01-03 22:13:01,683 - mmseg - INFO - Iter [35800/38400] lr: 5.639e-05, eta: 0:05:00, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2013, decode.loss_grad: 0.0000, loss: 0.2013, grad_norm: 0.0703 2024-01-03 22:13:07,192 - mmseg - INFO - Iter [35850/38400] lr: 5.425e-05, eta: 0:04:55, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.1949, decode.loss_grad: 0.0000, loss: 0.1949, grad_norm: 0.0679 2024-01-03 22:13:12,741 - mmseg - INFO - Iter [35900/38400] lr: 5.215e-05, eta: 0:04:49, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2025, decode.loss_grad: 0.0000, loss: 0.2025, grad_norm: 0.0701 2024-01-03 22:13:18,282 - mmseg - INFO - Iter [35950/38400] lr: 5.009e-05, eta: 0:04:43, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.1991, decode.loss_grad: 0.0000, loss: 0.1991, grad_norm: 0.0674 2024-01-03 22:13:23,806 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:13:23,807 - mmseg - INFO - Iter [36000/38400] lr: 4.808e-05, eta: 0:04:37, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2019, decode.loss_grad: 0.0000, loss: 0.2019, grad_norm: 0.0714 2024-01-03 22:13:29,365 - mmseg - INFO - Iter [36050/38400] lr: 4.610e-05, eta: 0:04:31, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2007, decode.loss_grad: 0.0000, loss: 0.2007, grad_norm: 0.0693 2024-01-03 22:13:34,886 - mmseg - INFO - Iter [36100/38400] lr: 4.417e-05, eta: 0:04:26, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2038, decode.loss_grad: 0.0000, loss: 0.2038, grad_norm: 0.0664 2024-01-03 22:13:40,407 - mmseg - INFO - Iter [36150/38400] lr: 4.227e-05, eta: 0:04:20, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.1989, decode.loss_grad: 0.0000, loss: 0.1989, grad_norm: 0.0675 2024-01-03 22:13:45,873 - mmseg - INFO - Iter [36200/38400] lr: 4.042e-05, eta: 0:04:14, time: 0.109, data_time: 0.004, memory: 805, decode.loss_depth: 0.1965, decode.loss_grad: 0.0000, loss: 0.1965, grad_norm: 0.0747 2024-01-03 22:13:51,400 - mmseg - INFO - Iter [36250/38400] lr: 3.861e-05, eta: 0:04:08, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2003, decode.loss_grad: 0.0000, loss: 0.2003, grad_norm: 0.0686 2024-01-03 22:13:56,910 - mmseg - INFO - Iter [36300/38400] lr: 3.684e-05, eta: 0:04:02, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.1983, decode.loss_grad: 0.0000, loss: 0.1983, grad_norm: 0.0684 2024-01-03 22:14:04,627 - mmseg - INFO - Iter [36350/38400] lr: 3.511e-05, eta: 0:03:57, time: 0.154, data_time: 0.047, memory: 805, decode.loss_depth: 0.1990, decode.loss_grad: 0.0000, loss: 0.1990, grad_norm: 0.0702 2024-01-03 22:14:10,210 - mmseg - INFO - Iter [36400/38400] lr: 3.343e-05, eta: 0:03:51, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.1976, decode.loss_grad: 0.0000, loss: 0.1976, grad_norm: 0.0653 2024-01-03 22:14:15,748 - mmseg - INFO - Iter [36450/38400] lr: 3.178e-05, eta: 0:03:45, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1939, decode.loss_grad: 0.0000, loss: 0.1939, grad_norm: 0.0666 2024-01-03 22:14:21,286 - mmseg - INFO - Iter [36500/38400] lr: 3.017e-05, eta: 0:03:39, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1947, decode.loss_grad: 0.0000, loss: 0.1947, grad_norm: 0.0691 2024-01-03 22:14:26,832 - mmseg - INFO - Iter [36550/38400] lr: 2.861e-05, eta: 0:03:34, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1993, decode.loss_grad: 0.0000, loss: 0.1993, grad_norm: 0.0704 2024-01-03 22:14:32,398 - mmseg - INFO - Iter [36600/38400] lr: 2.709e-05, eta: 0:03:28, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.1985, decode.loss_grad: 0.0000, loss: 0.1985, grad_norm: 0.0670 2024-01-03 22:14:37,886 - mmseg - INFO - Iter [36650/38400] lr: 2.561e-05, eta: 0:03:22, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.1999, decode.loss_grad: 0.0000, loss: 0.1999, grad_norm: 0.0699 2024-01-03 22:14:43,396 - mmseg - INFO - Iter [36700/38400] lr: 2.417e-05, eta: 0:03:16, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.1978, decode.loss_grad: 0.0000, loss: 0.1978, grad_norm: 0.0655 2024-01-03 22:14:48,965 - mmseg - INFO - Iter [36750/38400] lr: 2.277e-05, eta: 0:03:10, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1973, decode.loss_grad: 0.0000, loss: 0.1973, grad_norm: 0.0689 2024-01-03 22:14:54,480 - mmseg - INFO - Saving checkpoint at 36800 iterations 2024-01-03 22:14:54,502 - mmseg - INFO - Iter [36800/38400] lr: 2.141e-05, eta: 0:03:05, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1994, decode.loss_grad: 0.0000, loss: 0.1994, grad_norm: 0.0680 2024-01-03 22:15:00,010 - mmseg - INFO - Iter [36850/38400] lr: 2.010e-05, eta: 0:02:59, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.1988, decode.loss_grad: 0.0000, loss: 0.1988, grad_norm: 0.0677 2024-01-03 22:15:05,556 - mmseg - INFO - Iter [36900/38400] lr: 1.883e-05, eta: 0:02:53, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2003, decode.loss_grad: 0.0000, loss: 0.2003, grad_norm: 0.0672 2024-01-03 22:15:11,083 - mmseg - INFO - Iter [36950/38400] lr: 1.759e-05, eta: 0:02:47, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.1976, decode.loss_grad: 0.0000, loss: 0.1976, grad_norm: 0.0694 2024-01-03 22:15:16,819 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:15:16,820 - mmseg - INFO - Iter [37000/38400] lr: 1.640e-05, eta: 0:02:41, time: 0.115, data_time: 0.004, memory: 805, decode.loss_depth: 0.1989, decode.loss_grad: 0.0000, loss: 0.1989, grad_norm: 0.0715 2024-01-03 22:15:22,370 - mmseg - INFO - Iter [37050/38400] lr: 1.526e-05, eta: 0:02:36, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.1949, decode.loss_grad: 0.0000, loss: 0.1949, grad_norm: 0.0702 2024-01-03 22:15:27,960 - mmseg - INFO - Iter [37100/38400] lr: 1.415e-05, eta: 0:02:30, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.1994, decode.loss_grad: 0.0000, loss: 0.1994, grad_norm: 0.0696 2024-01-03 22:15:33,540 - mmseg - INFO - Iter [37150/38400] lr: 1.308e-05, eta: 0:02:24, time: 0.112, data_time: 0.004, memory: 805, decode.loss_depth: 0.1975, decode.loss_grad: 0.0000, loss: 0.1975, grad_norm: 0.0703 2024-01-03 22:15:39,100 - mmseg - INFO - Iter [37200/38400] lr: 1.206e-05, eta: 0:02:18, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2018, decode.loss_grad: 0.0000, loss: 0.2018, grad_norm: 0.0708 2024-01-03 22:15:44,647 - mmseg - INFO - Iter [37250/38400] lr: 1.108e-05, eta: 0:02:12, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.1989, decode.loss_grad: 0.0000, loss: 0.1989, grad_norm: 0.0709 2024-01-03 22:15:50,230 - mmseg - INFO - Iter [37300/38400] lr: 1.014e-05, eta: 0:02:07, time: 0.112, data_time: 0.004, memory: 805, decode.loss_depth: 0.2019, decode.loss_grad: 0.0000, loss: 0.2019, grad_norm: 0.0689 2024-01-03 22:15:55,872 - mmseg - INFO - Iter [37350/38400] lr: 9.236e-06, eta: 0:02:01, time: 0.113, data_time: 0.004, memory: 805, decode.loss_depth: 0.2020, decode.loss_grad: 0.0000, loss: 0.2020, grad_norm: 0.0659 2024-01-03 22:16:01,472 - mmseg - INFO - Iter [37400/38400] lr: 8.379e-06, eta: 0:01:55, time: 0.112, data_time: 0.004, memory: 805, decode.loss_depth: 0.1999, decode.loss_grad: 0.0000, loss: 0.1999, grad_norm: 0.0684 2024-01-03 22:16:06,979 - mmseg - INFO - Iter [37450/38400] lr: 7.563e-06, eta: 0:01:49, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2000, decode.loss_grad: 0.0000, loss: 0.2000, grad_norm: 0.0703 2024-01-03 22:16:12,556 - mmseg - INFO - Iter [37500/38400] lr: 6.789e-06, eta: 0:01:44, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.1949, decode.loss_grad: 0.0000, loss: 0.1949, grad_norm: 0.0691 2024-01-03 22:16:18,073 - mmseg - INFO - Iter [37550/38400] lr: 6.057e-06, eta: 0:01:38, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.2009, decode.loss_grad: 0.0000, loss: 0.2009, grad_norm: 0.0658 2024-01-03 22:16:23,640 - mmseg - INFO - Iter [37600/38400] lr: 5.366e-06, eta: 0:01:32, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2010, decode.loss_grad: 0.0000, loss: 0.2010, grad_norm: 0.0707 2024-01-03 22:16:29,203 - mmseg - INFO - Iter [37650/38400] lr: 4.717e-06, eta: 0:01:26, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.1981, decode.loss_grad: 0.0000, loss: 0.1981, grad_norm: 0.0681 2024-01-03 22:16:34,747 - mmseg - INFO - Iter [37700/38400] lr: 4.110e-06, eta: 0:01:20, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1985, decode.loss_grad: 0.0000, loss: 0.1985, grad_norm: 0.0685 2024-01-03 22:16:40,283 - mmseg - INFO - Iter [37750/38400] lr: 3.545e-06, eta: 0:01:15, time: 0.111, data_time: 0.004, memory: 805, decode.loss_depth: 0.2047, decode.loss_grad: 0.0000, loss: 0.2047, grad_norm: 0.0669 2024-01-03 22:16:45,882 - mmseg - INFO - Iter [37800/38400] lr: 3.021e-06, eta: 0:01:09, time: 0.112, data_time: 0.004, memory: 805, decode.loss_depth: 0.2005, decode.loss_grad: 0.0000, loss: 0.2005, grad_norm: 0.0711 2024-01-03 22:16:51,369 - mmseg - INFO - Iter [37850/38400] lr: 2.540e-06, eta: 0:01:03, time: 0.110, data_time: 0.004, memory: 805, decode.loss_depth: 0.1978, decode.loss_grad: 0.0000, loss: 0.1978, grad_norm: 0.0691 2024-01-03 22:16:59,091 - mmseg - INFO - Iter [37900/38400] lr: 2.100e-06, eta: 0:00:57, time: 0.154, data_time: 0.046, memory: 805, decode.loss_depth: 0.1982, decode.loss_grad: 0.0000, loss: 0.1982, grad_norm: 0.0692 2024-01-03 22:17:04,636 - mmseg - INFO - Iter [37950/38400] lr: 1.702e-06, eta: 0:00:52, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2004, decode.loss_grad: 0.0000, loss: 0.2004, grad_norm: 0.0676 2024-01-03 22:17:10,176 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:17:10,177 - mmseg - INFO - Iter [38000/38400] lr: 1.345e-06, eta: 0:00:46, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.2003, decode.loss_grad: 0.0000, loss: 0.2003, grad_norm: 0.0704 2024-01-03 22:17:15,709 - mmseg - INFO - Iter [38050/38400] lr: 1.031e-06, eta: 0:00:40, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1974, decode.loss_grad: 0.0000, loss: 0.1974, grad_norm: 0.0689 2024-01-03 22:17:21,235 - mmseg - INFO - Iter [38100/38400] lr: 7.580e-07, eta: 0:00:34, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1996, decode.loss_grad: 0.0000, loss: 0.1996, grad_norm: 0.0680 2024-01-03 22:17:26,796 - mmseg - INFO - Iter [38150/38400] lr: 5.271e-07, eta: 0:00:28, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1953, decode.loss_grad: 0.0000, loss: 0.1953, grad_norm: 0.0705 2024-01-03 22:17:32,283 - mmseg - INFO - Iter [38200/38400] lr: 3.381e-07, eta: 0:00:23, time: 0.110, data_time: 0.003, memory: 805, decode.loss_depth: 0.1952, decode.loss_grad: 0.0000, loss: 0.1952, grad_norm: 0.0691 2024-01-03 22:17:37,829 - mmseg - INFO - Iter [38250/38400] lr: 1.908e-07, eta: 0:00:17, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1972, decode.loss_grad: 0.0000, loss: 0.1972, grad_norm: 0.0705 2024-01-03 22:17:43,411 - mmseg - INFO - Iter [38300/38400] lr: 8.540e-08, eta: 0:00:11, time: 0.112, data_time: 0.003, memory: 805, decode.loss_depth: 0.1983, decode.loss_grad: 0.0000, loss: 0.1983, grad_norm: 0.0687 2024-01-03 22:17:48,949 - mmseg - INFO - Iter [38350/38400] lr: 2.181e-08, eta: 0:00:05, time: 0.111, data_time: 0.003, memory: 805, decode.loss_depth: 0.1986, decode.loss_grad: 0.0000, loss: 0.1986, grad_norm: 0.0688 2024-01-03 22:17:54,566 - mmseg - INFO - Saving checkpoint at 38400 iterations 2024-01-03 22:17:54,596 - mmseg - INFO - Iter [38400/38400] lr: 5.837e-11, eta: 0:00:00, time: 0.113, data_time: 0.003, memory: 805, decode.loss_depth: 0.2041, decode.loss_grad: 0.0000, loss: 0.2041, grad_norm: 0.0727 2024-01-03 22:18:04,403 - mmseg - INFO - Summary: 2024-01-03 22:18:04,404 - mmseg - INFO - +--------+-------+--------+---------+-------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+-------+--------+---------+-------+--------+----------+---------+--------+ | 0.6236 | 0.882 | 0.9645 | 0.256 | 0.708 | 0.0945 | 0.264 | 19.3806 | 0.2475 | +--------+-------+--------+---------+-------+--------+----------+---------+--------+ 2024-01-03 22:18:04,404 - mmseg - INFO - Iter(val) [82] a1: 0.6236, a2: 0.8820, a3: 0.9645, abs_rel: 0.256046324968338, rmse: 0.7080227732658386, log_10: 0.09448082745075226, rmse_log: 0.264028936624527, silog: 19.3806, sq_rel: 0.24753260612487793