2024-01-03 16:55:28,040 - 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: NVIDIA A6000 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+a3118f0 ------------------------------------------------------------ 2024-01-03 16:55:28,041 - mmseg - INFO - Distributed training: True 2024-01-03 16:55:28,042 - 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_patch14_dinov2.lvd142m', 'gpu_ids': range(0, 1)} 2024-01-03 16:55:32,831 - mmseg - INFO - Loading backbone from vit_base_patch14_dinov2.lvd142m 2024-01-03 16:55:33,056 - 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.ls1.gamma', '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.0.ls2.gamma', '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.ls1.gamma', '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.1.ls2.gamma', '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.ls1.gamma', '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.2.ls2.gamma', '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.ls1.gamma', '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.3.ls2.gamma', '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.ls1.gamma', '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.4.ls2.gamma', '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.ls1.gamma', '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.5.ls2.gamma', '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.ls1.gamma', '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.6.ls2.gamma', '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.ls1.gamma', '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.7.ls2.gamma', '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.ls1.gamma', '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.8.ls2.gamma', '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.ls1.gamma', '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.9.ls2.gamma', '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.ls1.gamma', '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.10.ls2.gamma', '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.ls1.gamma', '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.blocks.11.ls2.gamma', 'vit.model.norm.weight', 'vit.model.norm.bias'], unexpected_keys=[]) 2024-01-03 16:55:33,057 - mmseg - INFO - pos_embed loaded 2024-01-03 16:55:33,057 - mmseg - INFO - denoiser.norm1.weight loaded 2024-01-03 16:55:33,057 - mmseg - INFO - denoiser.norm1.bias loaded 2024-01-03 16:55:33,057 - mmseg - INFO - denoiser.attn.qkv.weight loaded 2024-01-03 16:55:33,057 - mmseg - INFO - denoiser.attn.qkv.bias loaded 2024-01-03 16:55:33,057 - mmseg - INFO - denoiser.attn.proj.weight loaded 2024-01-03 16:55:33,057 - mmseg - INFO - denoiser.attn.proj.bias loaded 2024-01-03 16:55:33,057 - mmseg - INFO - denoiser.norm2.weight loaded 2024-01-03 16:55:33,058 - mmseg - INFO - denoiser.norm2.bias loaded 2024-01-03 16:55:33,058 - mmseg - INFO - denoiser.mlp.fc1.weight loaded 2024-01-03 16:55:33,058 - mmseg - INFO - denoiser.mlp.fc1.bias loaded 2024-01-03 16:55:33,058 - mmseg - INFO - denoiser.mlp.fc2.weight loaded 2024-01-03 16:55:33,058 - mmseg - INFO - denoiser.mlp.fc2.bias loaded 2024-01-03 16:55:33,081 - 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 16:55:33,168 - mmseg - INFO - Loaded 24231 images. Totally 0 invalid pairs are filtered 2024-01-03 16:55:35,220 - mmseg - INFO - Loaded 654 images. Totally 0 invalid pairs are filtered 2024-01-03 16:55:35,221 - mmseg - INFO - Start running, host: root, work_dir: ./work_dirs/depth_eval/nyu_paper/voc10k_distilled/vit_base_patch14_dinov2.lvd142m 2024-01-03 16:55:35,221 - 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 16:55:35,221 - mmseg - INFO - workflow: [('train', 1)], max: 38400 iters 2024-01-03 16:55:35,221 - mmseg - INFO - Checkpoints will be saved to ./work_dirs/depth_eval/nyu_paper/voc10k_distilled/vit_base_patch14_dinov2.lvd142m by HardDiskBackend. 2024-01-03 16:55:53,902 - mmseg - INFO - Iter [50/38400] lr: 2.412e-05, eta: 1:25:32, time: 0.134, data_time: 0.004, memory: 940, decode.loss_depth: 0.2267, decode.loss_grad: 0.0000, loss: 0.2267, grad_norm: 0.4907 2024-01-03 16:55:57,247 - mmseg - INFO - Iter [100/38400] lr: 4.363e-05, eta: 1:04:03, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.0988, decode.loss_grad: 0.0000, loss: 0.0988, grad_norm: 0.3795 2024-01-03 16:56:00,619 - mmseg - INFO - Iter [150/38400] lr: 6.314e-05, eta: 0:56:59, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.4154, decode.loss_grad: 0.0000, loss: 0.4154, grad_norm: 0.3229 2024-01-03 16:56:03,972 - mmseg - INFO - Iter [200/38400] lr: 8.265e-05, eta: 0:53:21, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.3459, decode.loss_grad: 0.0000, loss: 0.3459, grad_norm: 0.3236 2024-01-03 16:56:07,318 - mmseg - INFO - Iter [250/38400] lr: 1.022e-04, eta: 0:51:08, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.2751, decode.loss_grad: 0.0000, loss: 0.2751, grad_norm: 0.3583 2024-01-03 16:56:10,681 - mmseg - INFO - Iter [300/38400] lr: 1.217e-04, eta: 0:49:40, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.2319, decode.loss_grad: 0.0000, loss: 0.2319, grad_norm: 0.3521 2024-01-03 16:56:14,037 - mmseg - INFO - Iter [350/38400] lr: 1.412e-04, eta: 0:48:36, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.2083, decode.loss_grad: 0.0000, loss: 0.2083, grad_norm: 0.3458 2024-01-03 16:56:17,390 - mmseg - INFO - Iter [400/38400] lr: 1.607e-04, eta: 0:47:46, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.1922, decode.loss_grad: 0.0000, loss: 0.1922, grad_norm: 0.3253 2024-01-03 16:56:20,755 - mmseg - INFO - Iter [450/38400] lr: 1.802e-04, eta: 0:47:08, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.1824, decode.loss_grad: 0.0000, loss: 0.1824, grad_norm: 0.3174 2024-01-03 16:56:24,109 - mmseg - INFO - Iter [500/38400] lr: 1.996e-04, eta: 0:46:36, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.1807, decode.loss_grad: 0.0000, loss: 0.1807, grad_norm: 0.3218 2024-01-03 16:56:27,453 - mmseg - INFO - Iter [550/38400] lr: 2.191e-04, eta: 0:46:09, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.1772, decode.loss_grad: 0.0000, loss: 0.1772, grad_norm: 0.3144 2024-01-03 16:56:30,804 - mmseg - INFO - Iter [600/38400] lr: 2.386e-04, eta: 0:45:46, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.1666, decode.loss_grad: 0.0000, loss: 0.1666, grad_norm: 0.3058 2024-01-03 16:56:34,176 - mmseg - INFO - Iter [650/38400] lr: 2.581e-04, eta: 0:45:27, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.1674, decode.loss_grad: 0.0000, loss: 0.1674, grad_norm: 0.3091 2024-01-03 16:56:37,526 - mmseg - INFO - Iter [700/38400] lr: 2.775e-04, eta: 0:45:09, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.1611, decode.loss_grad: 0.0000, loss: 0.1611, grad_norm: 0.2908 2024-01-03 16:56:40,886 - mmseg - INFO - Iter [750/38400] lr: 2.970e-04, eta: 0:44:54, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.1545, decode.loss_grad: 0.0000, loss: 0.1545, grad_norm: 0.2867 2024-01-03 16:56:44,261 - mmseg - INFO - Iter [800/38400] lr: 3.165e-04, eta: 0:44:41, time: 0.068, data_time: 0.002, memory: 940, decode.loss_depth: 0.1580, decode.loss_grad: 0.0000, loss: 0.1580, grad_norm: 0.2857 2024-01-03 16:56:47,814 - mmseg - INFO - Iter [850/38400] lr: 3.359e-04, eta: 0:44:37, time: 0.071, data_time: 0.002, memory: 940, decode.loss_depth: 0.1521, decode.loss_grad: 0.0000, loss: 0.1521, grad_norm: 0.2839 2024-01-03 16:56:51,190 - mmseg - INFO - Iter [900/38400] lr: 3.553e-04, eta: 0:44:25, time: 0.068, data_time: 0.002, memory: 940, decode.loss_depth: 0.1497, decode.loss_grad: 0.0000, loss: 0.1497, grad_norm: 0.2687 2024-01-03 16:56:54,574 - mmseg - INFO - Iter [950/38400] lr: 3.748e-04, eta: 0:44:15, time: 0.068, data_time: 0.002, memory: 940, decode.loss_depth: 0.1490, decode.loss_grad: 0.0000, loss: 0.1490, grad_norm: 0.2634 2024-01-03 16:56:58,124 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 16:56:58,124 - mmseg - INFO - Iter [1000/38400] lr: 3.942e-04, eta: 0:44:12, time: 0.071, data_time: 0.002, memory: 940, decode.loss_depth: 0.1475, decode.loss_grad: 0.0000, loss: 0.1475, grad_norm: 0.2644 2024-01-03 16:57:01,488 - mmseg - INFO - Iter [1050/38400] lr: 4.136e-04, eta: 0:44:02, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.1464, decode.loss_grad: 0.0000, loss: 0.1464, grad_norm: 0.2710 2024-01-03 16:57:04,842 - mmseg - INFO - Iter [1100/38400] lr: 4.330e-04, eta: 0:43:52, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.1467, decode.loss_grad: 0.0000, loss: 0.1467, grad_norm: 0.2440 2024-01-03 16:57:08,224 - mmseg - INFO - Iter [1150/38400] lr: 4.524e-04, eta: 0:43:44, time: 0.068, data_time: 0.002, memory: 940, decode.loss_depth: 0.1478, decode.loss_grad: 0.0000, loss: 0.1478, grad_norm: 0.2651 2024-01-03 16:57:11,611 - mmseg - INFO - Iter [1200/38400] lr: 4.718e-04, eta: 0:43:36, time: 0.068, data_time: 0.002, memory: 940, decode.loss_depth: 0.1414, decode.loss_grad: 0.0000, loss: 0.1414, grad_norm: 0.2680 2024-01-03 16:57:14,993 - mmseg - INFO - Iter [1250/38400] lr: 4.911e-04, eta: 0:43:28, time: 0.068, data_time: 0.002, memory: 940, decode.loss_depth: 0.1463, decode.loss_grad: 0.0000, loss: 0.1463, grad_norm: 0.2561 2024-01-03 16:57:18,348 - mmseg - INFO - Iter [1300/38400] lr: 5.105e-04, eta: 0:43:20, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.1427, decode.loss_grad: 0.0000, loss: 0.1427, grad_norm: 0.2519 2024-01-03 16:57:21,788 - mmseg - INFO - Iter [1350/38400] lr: 5.298e-04, eta: 0:43:15, time: 0.069, data_time: 0.002, memory: 940, decode.loss_depth: 0.1430, decode.loss_grad: 0.0000, loss: 0.1430, grad_norm: 0.2396 2024-01-03 16:57:25,162 - mmseg - INFO - Iter [1400/38400] lr: 5.491e-04, eta: 0:43:08, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.1417, decode.loss_grad: 0.0000, loss: 0.1417, grad_norm: 0.2375 2024-01-03 16:57:28,543 - mmseg - INFO - Iter [1450/38400] lr: 5.684e-04, eta: 0:43:02, time: 0.068, data_time: 0.002, memory: 940, decode.loss_depth: 0.1389, decode.loss_grad: 0.0000, loss: 0.1389, grad_norm: 0.2363 2024-01-03 16:57:31,936 - mmseg - INFO - Iter [1500/38400] lr: 5.877e-04, eta: 0:42:56, time: 0.068, data_time: 0.002, memory: 940, decode.loss_depth: 0.1379, decode.loss_grad: 0.0000, loss: 0.1379, grad_norm: 0.2282 2024-01-03 16:57:37,344 - mmseg - INFO - Iter [1550/38400] lr: 6.070e-04, eta: 0:43:38, time: 0.108, data_time: 0.043, memory: 940, decode.loss_depth: 0.1393, decode.loss_grad: 0.0000, loss: 0.1393, grad_norm: 0.2430 2024-01-03 16:57:40,625 - mmseg - INFO - Saving checkpoint at 1600 iterations 2024-01-03 16:57:40,636 - mmseg - INFO - Iter [1600/38400] lr: 6.263e-04, eta: 0:43:28, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1362, decode.loss_grad: 0.0000, loss: 0.1362, grad_norm: 0.2175 2024-01-03 16:57:43,932 - mmseg - INFO - Iter [1650/38400] lr: 6.456e-04, eta: 0:43:19, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1335, decode.loss_grad: 0.0000, loss: 0.1335, grad_norm: 0.2118 2024-01-03 16:57:47,238 - mmseg - INFO - Iter [1700/38400] lr: 6.648e-04, eta: 0:43:11, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1311, decode.loss_grad: 0.0000, loss: 0.1311, grad_norm: 0.2000 2024-01-03 16:57:50,528 - mmseg - INFO - Iter [1750/38400] lr: 6.840e-04, eta: 0:43:02, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1379, decode.loss_grad: 0.0000, loss: 0.1379, grad_norm: 0.2194 2024-01-03 16:57:53,827 - mmseg - INFO - Iter [1800/38400] lr: 7.032e-04, eta: 0:42:54, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1321, decode.loss_grad: 0.0000, loss: 0.1321, grad_norm: 0.2107 2024-01-03 16:57:57,127 - mmseg - INFO - Iter [1850/38400] lr: 7.224e-04, eta: 0:42:46, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1372, decode.loss_grad: 0.0000, loss: 0.1372, grad_norm: 0.2009 2024-01-03 16:58:00,431 - mmseg - INFO - Iter [1900/38400] lr: 7.416e-04, eta: 0:42:39, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1349, decode.loss_grad: 0.0000, loss: 0.1349, grad_norm: 0.2078 2024-01-03 16:58:03,777 - mmseg - INFO - Iter [1950/38400] lr: 7.607e-04, eta: 0:42:32, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.1304, decode.loss_grad: 0.0000, loss: 0.1304, grad_norm: 0.1982 2024-01-03 16:58:07,063 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 16:58:07,063 - mmseg - INFO - Iter [2000/38400] lr: 7.798e-04, eta: 0:42:25, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1315, decode.loss_grad: 0.0000, loss: 0.1315, grad_norm: 0.2003 2024-01-03 16:58:10,362 - mmseg - INFO - Iter [2050/38400] lr: 7.990e-04, eta: 0:42:18, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1326, decode.loss_grad: 0.0000, loss: 0.1326, grad_norm: 0.2003 2024-01-03 16:58:13,669 - mmseg - INFO - Iter [2100/38400] lr: 8.180e-04, eta: 0:42:11, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1306, decode.loss_grad: 0.0000, loss: 0.1306, grad_norm: 0.1941 2024-01-03 16:58:16,966 - mmseg - INFO - Iter [2150/38400] lr: 8.371e-04, eta: 0:42:04, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1309, decode.loss_grad: 0.0000, loss: 0.1309, grad_norm: 0.1870 2024-01-03 16:58:20,246 - mmseg - INFO - Iter [2200/38400] lr: 8.562e-04, eta: 0:41:58, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1288, decode.loss_grad: 0.0000, loss: 0.1288, grad_norm: 0.1800 2024-01-03 16:58:23,567 - mmseg - INFO - Iter [2250/38400] lr: 8.752e-04, eta: 0:41:52, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1291, decode.loss_grad: 0.0000, loss: 0.1291, grad_norm: 0.1803 2024-01-03 16:58:26,857 - mmseg - INFO - Iter [2300/38400] lr: 8.942e-04, eta: 0:41:45, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1296, decode.loss_grad: 0.0000, loss: 0.1296, grad_norm: 0.1816 2024-01-03 16:58:30,147 - mmseg - INFO - Iter [2350/38400] lr: 9.132e-04, eta: 0:41:39, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1302, decode.loss_grad: 0.0000, loss: 0.1302, grad_norm: 0.1837 2024-01-03 16:58:33,430 - mmseg - INFO - Iter [2400/38400] lr: 9.321e-04, eta: 0:41:33, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1281, decode.loss_grad: 0.0000, loss: 0.1281, grad_norm: 0.1732 2024-01-03 16:58:36,724 - mmseg - INFO - Iter [2450/38400] lr: 9.511e-04, eta: 0:41:27, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1287, decode.loss_grad: 0.0000, loss: 0.1287, grad_norm: 0.1799 2024-01-03 16:58:40,012 - mmseg - INFO - Iter [2500/38400] lr: 9.700e-04, eta: 0:41:21, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1317, decode.loss_grad: 0.0000, loss: 0.1317, grad_norm: 0.1793 2024-01-03 16:58:43,322 - mmseg - INFO - Iter [2550/38400] lr: 9.889e-04, eta: 0:41:15, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1270, decode.loss_grad: 0.0000, loss: 0.1270, grad_norm: 0.1741 2024-01-03 16:58:46,632 - mmseg - INFO - Iter [2600/38400] lr: 1.008e-03, eta: 0:41:10, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1264, decode.loss_grad: 0.0000, loss: 0.1264, grad_norm: 0.1677 2024-01-03 16:58:49,920 - mmseg - INFO - Iter [2650/38400] lr: 1.027e-03, eta: 0:41:04, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1310, decode.loss_grad: 0.0000, loss: 0.1310, grad_norm: 0.1765 2024-01-03 16:58:53,220 - mmseg - INFO - Iter [2700/38400] lr: 1.045e-03, eta: 0:40:59, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1263, decode.loss_grad: 0.0000, loss: 0.1263, grad_norm: 0.1641 2024-01-03 16:58:56,511 - mmseg - INFO - Iter [2750/38400] lr: 1.064e-03, eta: 0:40:53, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1290, decode.loss_grad: 0.0000, loss: 0.1290, grad_norm: 0.1697 2024-01-03 16:58:59,820 - mmseg - INFO - Iter [2800/38400] lr: 1.083e-03, eta: 0:40:48, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1287, decode.loss_grad: 0.0000, loss: 0.1287, grad_norm: 0.1778 2024-01-03 16:59:03,120 - mmseg - INFO - Iter [2850/38400] lr: 1.102e-03, eta: 0:40:43, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1251, decode.loss_grad: 0.0000, loss: 0.1251, grad_norm: 0.1531 2024-01-03 16:59:06,411 - mmseg - INFO - Iter [2900/38400] lr: 1.120e-03, eta: 0:40:38, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1266, decode.loss_grad: 0.0000, loss: 0.1266, grad_norm: 0.1514 2024-01-03 16:59:09,709 - mmseg - INFO - Iter [2950/38400] lr: 1.139e-03, eta: 0:40:33, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1233, decode.loss_grad: 0.0000, loss: 0.1233, grad_norm: 0.1526 2024-01-03 16:59:13,004 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 16:59:13,004 - mmseg - INFO - Iter [3000/38400] lr: 1.158e-03, eta: 0:40:28, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1235, decode.loss_grad: 0.0000, loss: 0.1235, grad_norm: 0.1568 2024-01-03 16:59:18,403 - mmseg - INFO - Iter [3050/38400] lr: 1.176e-03, eta: 0:40:47, time: 0.108, data_time: 0.044, memory: 940, decode.loss_depth: 0.1241, decode.loss_grad: 0.0000, loss: 0.1241, grad_norm: 0.1512 2024-01-03 16:59:21,709 - mmseg - INFO - Iter [3100/38400] lr: 1.195e-03, eta: 0:40:42, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1253, decode.loss_grad: 0.0000, loss: 0.1253, grad_norm: 0.1435 2024-01-03 16:59:25,008 - mmseg - INFO - Iter [3150/38400] lr: 1.213e-03, eta: 0:40:37, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1236, decode.loss_grad: 0.0000, loss: 0.1236, grad_norm: 0.1551 2024-01-03 16:59:28,369 - mmseg - INFO - Saving checkpoint at 3200 iterations 2024-01-03 16:59:28,379 - mmseg - INFO - Iter [3200/38400] lr: 1.232e-03, eta: 0:40:32, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.1212, decode.loss_grad: 0.0000, loss: 0.1212, grad_norm: 0.1404 2024-01-03 16:59:44,240 - mmseg - INFO - Summary: 2024-01-03 16:59:44,240 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.8603 | 0.9851 | 0.9977 | 0.1259 | 0.4105 | 0.0518 | 0.1489 | 11.4859 | 0.0708 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 16:59:44,250 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_3200.pth. 2024-01-03 16:59:44,250 - mmseg - INFO - Best abs_rel is 0.1259 at 3200 iter. 2024-01-03 16:59:44,250 - mmseg - INFO - Iter(val) [82] a1: 0.8603, a2: 0.9851, a3: 0.9977, abs_rel: 0.125850111246109, rmse: 0.41053506731987, log_10: 0.0518404059112072, rmse_log: 0.14887191355228424, silog: 11.4859, sq_rel: 0.07075292617082596 2024-01-03 16:59:47,556 - mmseg - INFO - Iter [3250/38400] lr: 1.251e-03, eta: 0:43:19, time: 0.384, data_time: 0.319, memory: 940, decode.loss_depth: 0.1213, decode.loss_grad: 0.0000, loss: 0.1213, grad_norm: 0.1353 2024-01-03 16:59:50,852 - mmseg - INFO - Iter [3300/38400] lr: 1.269e-03, eta: 0:43:11, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1223, decode.loss_grad: 0.0000, loss: 0.1223, grad_norm: 0.1373 2024-01-03 16:59:54,147 - mmseg - INFO - Iter [3350/38400] lr: 1.287e-03, eta: 0:43:03, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1204, decode.loss_grad: 0.0000, loss: 0.1204, grad_norm: 0.1308 2024-01-03 16:59:57,423 - mmseg - INFO - Iter [3400/38400] lr: 1.306e-03, eta: 0:42:55, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1221, decode.loss_grad: 0.0000, loss: 0.1221, grad_norm: 0.1361 2024-01-03 17:00:00,727 - mmseg - INFO - Iter [3450/38400] lr: 1.324e-03, eta: 0:42:48, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1260, decode.loss_grad: 0.0000, loss: 0.1260, grad_norm: 0.1426 2024-01-03 17:00:04,029 - mmseg - INFO - Iter [3500/38400] lr: 1.343e-03, eta: 0:42:40, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1221, decode.loss_grad: 0.0000, loss: 0.1221, grad_norm: 0.1355 2024-01-03 17:00:07,327 - mmseg - INFO - Iter [3550/38400] lr: 1.361e-03, eta: 0:42:33, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1221, decode.loss_grad: 0.0000, loss: 0.1221, grad_norm: 0.1333 2024-01-03 17:00:10,620 - mmseg - INFO - Iter [3600/38400] lr: 1.379e-03, eta: 0:42:26, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1224, decode.loss_grad: 0.0000, loss: 0.1224, grad_norm: 0.1243 2024-01-03 17:00:13,918 - mmseg - INFO - Iter [3650/38400] lr: 1.397e-03, eta: 0:42:19, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1176, decode.loss_grad: 0.0000, loss: 0.1176, grad_norm: 0.1219 2024-01-03 17:00:17,227 - mmseg - INFO - Iter [3700/38400] lr: 1.416e-03, eta: 0:42:12, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1220, decode.loss_grad: 0.0000, loss: 0.1220, grad_norm: 0.1303 2024-01-03 17:00:20,514 - mmseg - INFO - Iter [3750/38400] lr: 1.434e-03, eta: 0:42:05, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1200, decode.loss_grad: 0.0000, loss: 0.1200, grad_norm: 0.1248 2024-01-03 17:00:23,814 - mmseg - INFO - Iter [3800/38400] lr: 1.452e-03, eta: 0:41:58, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1214, decode.loss_grad: 0.0000, loss: 0.1214, grad_norm: 0.1221 2024-01-03 17:00:27,114 - mmseg - INFO - Iter [3850/38400] lr: 1.470e-03, eta: 0:41:51, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1209, decode.loss_grad: 0.0000, loss: 0.1209, grad_norm: 0.1300 2024-01-03 17:00:30,413 - mmseg - INFO - Iter [3900/38400] lr: 1.488e-03, eta: 0:41:45, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1209, decode.loss_grad: 0.0000, loss: 0.1209, grad_norm: 0.1216 2024-01-03 17:00:33,779 - mmseg - INFO - Iter [3950/38400] lr: 1.506e-03, eta: 0:41:39, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.1200, decode.loss_grad: 0.0000, loss: 0.1200, grad_norm: 0.1195 2024-01-03 17:00:37,086 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:00:37,086 - mmseg - INFO - Iter [4000/38400] lr: 1.524e-03, eta: 0:41:32, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1171, decode.loss_grad: 0.0000, loss: 0.1171, grad_norm: 0.1156 2024-01-03 17:00:40,370 - mmseg - INFO - Iter [4050/38400] lr: 1.542e-03, eta: 0:41:26, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1176, decode.loss_grad: 0.0000, loss: 0.1176, grad_norm: 0.1170 2024-01-03 17:00:43,893 - mmseg - INFO - Iter [4100/38400] lr: 1.560e-03, eta: 0:41:21, time: 0.070, data_time: 0.002, memory: 940, decode.loss_depth: 0.1194, decode.loss_grad: 0.0000, loss: 0.1194, grad_norm: 0.1204 2024-01-03 17:00:47,183 - mmseg - INFO - Iter [4150/38400] lr: 1.578e-03, eta: 0:41:15, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1203, decode.loss_grad: 0.0000, loss: 0.1203, grad_norm: 0.1102 2024-01-03 17:00:50,464 - mmseg - INFO - Iter [4200/38400] lr: 1.596e-03, eta: 0:41:09, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1219, decode.loss_grad: 0.0000, loss: 0.1219, grad_norm: 0.1189 2024-01-03 17:00:53,774 - mmseg - INFO - Iter [4250/38400] lr: 1.613e-03, eta: 0:41:03, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1196, decode.loss_grad: 0.0000, loss: 0.1196, grad_norm: 0.1157 2024-01-03 17:00:57,070 - mmseg - INFO - Iter [4300/38400] lr: 1.631e-03, eta: 0:40:57, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1178, decode.loss_grad: 0.0000, loss: 0.1178, grad_norm: 0.1093 2024-01-03 17:01:00,369 - mmseg - INFO - Iter [4350/38400] lr: 1.649e-03, eta: 0:40:51, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1161, decode.loss_grad: 0.0000, loss: 0.1161, grad_norm: 0.1059 2024-01-03 17:01:03,853 - mmseg - INFO - Iter [4400/38400] lr: 1.666e-03, eta: 0:40:46, time: 0.070, data_time: 0.002, memory: 940, decode.loss_depth: 0.1210, decode.loss_grad: 0.0000, loss: 0.1210, grad_norm: 0.1149 2024-01-03 17:01:07,149 - mmseg - INFO - Iter [4450/38400] lr: 1.684e-03, eta: 0:40:40, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1187, decode.loss_grad: 0.0000, loss: 0.1187, grad_norm: 0.1016 2024-01-03 17:01:10,447 - mmseg - INFO - Iter [4500/38400] lr: 1.702e-03, eta: 0:40:34, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1189, decode.loss_grad: 0.0000, loss: 0.1189, grad_norm: 0.1045 2024-01-03 17:01:15,843 - mmseg - INFO - Iter [4550/38400] lr: 1.719e-03, eta: 0:40:44, time: 0.108, data_time: 0.043, memory: 940, decode.loss_depth: 0.1160, decode.loss_grad: 0.0000, loss: 0.1160, grad_norm: 0.1084 2024-01-03 17:01:19,137 - mmseg - INFO - Iter [4600/38400] lr: 1.737e-03, eta: 0:40:38, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1168, decode.loss_grad: 0.0000, loss: 0.1168, grad_norm: 0.1032 2024-01-03 17:01:22,459 - mmseg - INFO - Iter [4650/38400] lr: 1.754e-03, eta: 0:40:33, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1189, decode.loss_grad: 0.0000, loss: 0.1189, grad_norm: 0.1003 2024-01-03 17:01:25,763 - mmseg - INFO - Iter [4700/38400] lr: 1.772e-03, eta: 0:40:27, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1176, decode.loss_grad: 0.0000, loss: 0.1176, grad_norm: 0.1034 2024-01-03 17:01:29,063 - mmseg - INFO - Iter [4750/38400] lr: 1.789e-03, eta: 0:40:21, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1162, decode.loss_grad: 0.0000, loss: 0.1162, grad_norm: 0.0994 2024-01-03 17:01:32,360 - mmseg - INFO - Saving checkpoint at 4800 iterations 2024-01-03 17:01:32,371 - mmseg - INFO - Iter [4800/38400] lr: 1.806e-03, eta: 0:40:16, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1151, decode.loss_grad: 0.0000, loss: 0.1151, grad_norm: 0.0947 2024-01-03 17:01:35,686 - mmseg - INFO - Iter [4850/38400] lr: 1.824e-03, eta: 0:40:10, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1161, decode.loss_grad: 0.0000, loss: 0.1161, grad_norm: 0.0945 2024-01-03 17:01:38,989 - mmseg - INFO - Iter [4900/38400] lr: 1.841e-03, eta: 0:40:04, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1144, decode.loss_grad: 0.0000, loss: 0.1144, grad_norm: 0.0933 2024-01-03 17:01:42,293 - mmseg - INFO - Iter [4950/38400] lr: 1.858e-03, eta: 0:39:59, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1157, decode.loss_grad: 0.0000, loss: 0.1157, grad_norm: 0.0995 2024-01-03 17:01:45,592 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:01:45,593 - mmseg - INFO - Iter [5000/38400] lr: 1.875e-03, eta: 0:39:53, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1146, decode.loss_grad: 0.0000, loss: 0.1146, grad_norm: 0.0986 2024-01-03 17:01:49,100 - mmseg - INFO - Iter [5050/38400] lr: 1.892e-03, eta: 0:39:49, time: 0.070, data_time: 0.002, memory: 940, decode.loss_depth: 0.1144, decode.loss_grad: 0.0000, loss: 0.1144, grad_norm: 0.0981 2024-01-03 17:01:52,408 - mmseg - INFO - Iter [5100/38400] lr: 1.909e-03, eta: 0:39:44, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1184, decode.loss_grad: 0.0000, loss: 0.1184, grad_norm: 0.0920 2024-01-03 17:01:55,716 - mmseg - INFO - Iter [5150/38400] lr: 1.926e-03, eta: 0:39:39, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1136, decode.loss_grad: 0.0000, loss: 0.1136, grad_norm: 0.0912 2024-01-03 17:01:59,005 - mmseg - INFO - Iter [5200/38400] lr: 1.943e-03, eta: 0:39:33, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1159, decode.loss_grad: 0.0000, loss: 0.1159, grad_norm: 0.0885 2024-01-03 17:02:02,335 - mmseg - INFO - Iter [5250/38400] lr: 1.960e-03, eta: 0:39:28, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.1157, decode.loss_grad: 0.0000, loss: 0.1157, grad_norm: 0.0924 2024-01-03 17:02:05,660 - mmseg - INFO - Iter [5300/38400] lr: 1.977e-03, eta: 0:39:23, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1165, decode.loss_grad: 0.0000, loss: 0.1165, grad_norm: 0.0929 2024-01-03 17:02:08,959 - mmseg - INFO - Iter [5350/38400] lr: 1.994e-03, eta: 0:39:18, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1137, decode.loss_grad: 0.0000, loss: 0.1137, grad_norm: 0.0870 2024-01-03 17:02:12,239 - mmseg - INFO - Iter [5400/38400] lr: 2.011e-03, eta: 0:39:12, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1143, decode.loss_grad: 0.0000, loss: 0.1143, grad_norm: 0.0850 2024-01-03 17:02:15,534 - mmseg - INFO - Iter [5450/38400] lr: 2.027e-03, eta: 0:39:07, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1129, decode.loss_grad: 0.0000, loss: 0.1129, grad_norm: 0.0859 2024-01-03 17:02:18,845 - mmseg - INFO - Iter [5500/38400] lr: 2.044e-03, eta: 0:39:02, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1140, decode.loss_grad: 0.0000, loss: 0.1140, grad_norm: 0.0839 2024-01-03 17:02:22,142 - mmseg - INFO - Iter [5550/38400] lr: 2.060e-03, eta: 0:38:57, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1129, decode.loss_grad: 0.0000, loss: 0.1129, grad_norm: 0.0856 2024-01-03 17:02:25,432 - mmseg - INFO - Iter [5600/38400] lr: 2.077e-03, eta: 0:38:52, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1153, decode.loss_grad: 0.0000, loss: 0.1153, grad_norm: 0.0854 2024-01-03 17:02:28,728 - mmseg - INFO - Iter [5650/38400] lr: 2.094e-03, eta: 0:38:47, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1123, decode.loss_grad: 0.0000, loss: 0.1123, grad_norm: 0.0811 2024-01-03 17:02:32,022 - mmseg - INFO - Iter [5700/38400] lr: 2.110e-03, eta: 0:38:42, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1127, decode.loss_grad: 0.0000, loss: 0.1127, grad_norm: 0.0839 2024-01-03 17:02:35,314 - mmseg - INFO - Iter [5750/38400] lr: 2.126e-03, eta: 0:38:37, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1169, decode.loss_grad: 0.0000, loss: 0.1169, grad_norm: 0.0847 2024-01-03 17:02:38,620 - mmseg - INFO - Iter [5800/38400] lr: 2.143e-03, eta: 0:38:32, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1143, decode.loss_grad: 0.0000, loss: 0.1143, grad_norm: 0.0841 2024-01-03 17:02:41,907 - mmseg - INFO - Iter [5850/38400] lr: 2.159e-03, eta: 0:38:27, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1147, decode.loss_grad: 0.0000, loss: 0.1147, grad_norm: 0.0819 2024-01-03 17:02:45,198 - mmseg - INFO - Iter [5900/38400] lr: 2.175e-03, eta: 0:38:22, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1112, decode.loss_grad: 0.0000, loss: 0.1112, grad_norm: 0.0784 2024-01-03 17:02:48,492 - mmseg - INFO - Iter [5950/38400] lr: 2.191e-03, eta: 0:38:17, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1132, decode.loss_grad: 0.0000, loss: 0.1132, grad_norm: 0.0817 2024-01-03 17:02:51,860 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:02:51,860 - mmseg - INFO - Iter [6000/38400] lr: 2.208e-03, eta: 0:38:13, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.1153, decode.loss_grad: 0.0000, loss: 0.1153, grad_norm: 0.0804 2024-01-03 17:02:55,175 - mmseg - INFO - Iter [6050/38400] lr: 2.224e-03, eta: 0:38:08, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1124, decode.loss_grad: 0.0000, loss: 0.1124, grad_norm: 0.0763 2024-01-03 17:03:00,839 - mmseg - INFO - Iter [6100/38400] lr: 2.240e-03, eta: 0:38:16, time: 0.113, data_time: 0.043, memory: 940, decode.loss_depth: 0.1108, decode.loss_grad: 0.0000, loss: 0.1108, grad_norm: 0.0734 2024-01-03 17:03:04,131 - mmseg - INFO - Iter [6150/38400] lr: 2.256e-03, eta: 0:38:11, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1116, decode.loss_grad: 0.0000, loss: 0.1116, grad_norm: 0.0754 2024-01-03 17:03:07,415 - mmseg - INFO - Iter [6200/38400] lr: 2.272e-03, eta: 0:38:06, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1062, decode.loss_grad: 0.0000, loss: 0.1062, grad_norm: 0.0689 2024-01-03 17:03:10,710 - mmseg - INFO - Iter [6250/38400] lr: 2.287e-03, eta: 0:38:01, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1111, decode.loss_grad: 0.0000, loss: 0.1111, grad_norm: 0.0772 2024-01-03 17:03:14,012 - mmseg - INFO - Iter [6300/38400] lr: 2.303e-03, eta: 0:37:56, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1094, decode.loss_grad: 0.0000, loss: 0.1094, grad_norm: 0.0725 2024-01-03 17:03:17,275 - mmseg - INFO - Iter [6350/38400] lr: 2.319e-03, eta: 0:37:51, time: 0.065, data_time: 0.002, memory: 940, decode.loss_depth: 0.1121, decode.loss_grad: 0.0000, loss: 0.1121, grad_norm: 0.0748 2024-01-03 17:03:20,579 - mmseg - INFO - Saving checkpoint at 6400 iterations 2024-01-03 17:03:20,594 - mmseg - INFO - Iter [6400/38400] lr: 2.335e-03, eta: 0:37:46, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1128, decode.loss_grad: 0.0000, loss: 0.1128, grad_norm: 0.0738 2024-01-03 17:03:27,190 - mmseg - INFO - Summary: 2024-01-03 17:03:27,190 - mmseg - INFO - +--------+--------+-------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+-------+---------+--------+--------+----------+---------+--------+ | 0.8472 | 0.9847 | 0.998 | 0.1318 | 0.4274 | 0.0539 | 0.1531 | 11.3551 | 0.0758 | +--------+--------+-------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:03:27,191 - mmseg - INFO - Iter(val) [82] a1: 0.8472, a2: 0.9847, a3: 0.9980, abs_rel: 0.13175110518932343, rmse: 0.4273797273635864, log_10: 0.0539480596780777, rmse_log: 0.15307827293872833, silog: 11.3551, sq_rel: 0.07577447593212128 2024-01-03 17:03:30,476 - mmseg - INFO - Iter [6450/38400] lr: 2.350e-03, eta: 0:38:14, time: 0.198, data_time: 0.134, memory: 940, decode.loss_depth: 0.1096, decode.loss_grad: 0.0000, loss: 0.1096, grad_norm: 0.0729 2024-01-03 17:03:33,861 - mmseg - INFO - Iter [6500/38400] lr: 2.366e-03, eta: 0:38:10, time: 0.068, data_time: 0.002, memory: 940, decode.loss_depth: 0.1125, decode.loss_grad: 0.0000, loss: 0.1125, grad_norm: 0.0694 2024-01-03 17:03:37,142 - mmseg - INFO - Iter [6550/38400] lr: 2.381e-03, eta: 0:38:05, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1106, decode.loss_grad: 0.0000, loss: 0.1106, grad_norm: 0.0692 2024-01-03 17:03:40,447 - mmseg - INFO - Iter [6600/38400] lr: 2.397e-03, eta: 0:38:00, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1088, decode.loss_grad: 0.0000, loss: 0.1088, grad_norm: 0.0699 2024-01-03 17:03:43,754 - mmseg - INFO - Iter [6650/38400] lr: 2.412e-03, eta: 0:37:55, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1129, decode.loss_grad: 0.0000, loss: 0.1129, grad_norm: 0.0708 2024-01-03 17:03:47,056 - mmseg - INFO - Iter [6700/38400] lr: 2.427e-03, eta: 0:37:50, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1112, decode.loss_grad: 0.0000, loss: 0.1112, grad_norm: 0.0694 2024-01-03 17:03:50,362 - mmseg - INFO - Iter [6750/38400] lr: 2.443e-03, eta: 0:37:45, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1098, decode.loss_grad: 0.0000, loss: 0.1098, grad_norm: 0.0646 2024-01-03 17:03:53,649 - mmseg - INFO - Iter [6800/38400] lr: 2.458e-03, eta: 0:37:40, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1087, decode.loss_grad: 0.0000, loss: 0.1087, grad_norm: 0.0709 2024-01-03 17:03:56,988 - mmseg - INFO - Iter [6850/38400] lr: 2.473e-03, eta: 0:37:35, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.1128, decode.loss_grad: 0.0000, loss: 0.1128, grad_norm: 0.0666 2024-01-03 17:04:00,291 - mmseg - INFO - Iter [6900/38400] lr: 2.488e-03, eta: 0:37:30, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1105, decode.loss_grad: 0.0000, loss: 0.1105, grad_norm: 0.0690 2024-01-03 17:04:03,583 - mmseg - INFO - Iter [6950/38400] lr: 2.503e-03, eta: 0:37:26, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1105, decode.loss_grad: 0.0000, loss: 0.1105, grad_norm: 0.0674 2024-01-03 17:04:06,976 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:04:06,976 - mmseg - INFO - Iter [7000/38400] lr: 2.518e-03, eta: 0:37:21, time: 0.068, data_time: 0.002, memory: 940, decode.loss_depth: 0.1112, decode.loss_grad: 0.0000, loss: 0.1112, grad_norm: 0.0663 2024-01-03 17:04:10,258 - mmseg - INFO - Iter [7050/38400] lr: 2.533e-03, eta: 0:37:16, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1147, decode.loss_grad: 0.0000, loss: 0.1147, grad_norm: 0.0659 2024-01-03 17:04:13,570 - mmseg - INFO - Iter [7100/38400] lr: 2.548e-03, eta: 0:37:12, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1089, decode.loss_grad: 0.0000, loss: 0.1089, grad_norm: 0.0636 2024-01-03 17:04:17,064 - mmseg - INFO - Iter [7150/38400] lr: 2.563e-03, eta: 0:37:08, time: 0.070, data_time: 0.002, memory: 940, decode.loss_depth: 0.1085, decode.loss_grad: 0.0000, loss: 0.1085, grad_norm: 0.0622 2024-01-03 17:04:20,370 - mmseg - INFO - Iter [7200/38400] lr: 2.577e-03, eta: 0:37:03, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1116, decode.loss_grad: 0.0000, loss: 0.1116, grad_norm: 0.0632 2024-01-03 17:04:23,685 - mmseg - INFO - Iter [7250/38400] lr: 2.592e-03, eta: 0:36:58, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1148, decode.loss_grad: 0.0000, loss: 0.1148, grad_norm: 0.0695 2024-01-03 17:04:27,065 - mmseg - INFO - Iter [7300/38400] lr: 2.606e-03, eta: 0:36:54, time: 0.068, data_time: 0.002, memory: 940, decode.loss_depth: 0.1159, decode.loss_grad: 0.0000, loss: 0.1159, grad_norm: 0.0691 2024-01-03 17:04:30,361 - mmseg - INFO - Iter [7350/38400] lr: 2.621e-03, eta: 0:36:49, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1109, decode.loss_grad: 0.0000, loss: 0.1109, grad_norm: 0.0629 2024-01-03 17:04:33,665 - mmseg - INFO - Iter [7400/38400] lr: 2.635e-03, eta: 0:36:45, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1105, decode.loss_grad: 0.0000, loss: 0.1105, grad_norm: 0.0586 2024-01-03 17:04:36,958 - mmseg - INFO - Iter [7450/38400] lr: 2.650e-03, eta: 0:36:40, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1113, decode.loss_grad: 0.0000, loss: 0.1113, grad_norm: 0.0613 2024-01-03 17:04:40,239 - mmseg - INFO - Iter [7500/38400] lr: 2.664e-03, eta: 0:36:35, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1103, decode.loss_grad: 0.0000, loss: 0.1103, grad_norm: 0.0611 2024-01-03 17:04:43,526 - mmseg - INFO - Iter [7550/38400] lr: 2.678e-03, eta: 0:36:31, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1095, decode.loss_grad: 0.0000, loss: 0.1095, grad_norm: 0.0599 2024-01-03 17:04:48,877 - mmseg - INFO - Iter [7600/38400] lr: 2.693e-03, eta: 0:36:35, time: 0.107, data_time: 0.043, memory: 940, decode.loss_depth: 0.1109, decode.loss_grad: 0.0000, loss: 0.1109, grad_norm: 0.0605 2024-01-03 17:04:52,161 - mmseg - INFO - Iter [7650/38400] lr: 2.707e-03, eta: 0:36:30, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1015, decode.loss_grad: 0.0000, loss: 0.1015, grad_norm: 0.0565 2024-01-03 17:04:55,453 - mmseg - INFO - Iter [7700/38400] lr: 2.721e-03, eta: 0:36:25, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1086, decode.loss_grad: 0.0000, loss: 0.1086, grad_norm: 0.0580 2024-01-03 17:04:58,742 - mmseg - INFO - Iter [7750/38400] lr: 2.735e-03, eta: 0:36:21, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1065, decode.loss_grad: 0.0000, loss: 0.1065, grad_norm: 0.0580 2024-01-03 17:05:02,034 - mmseg - INFO - Iter [7800/38400] lr: 2.749e-03, eta: 0:36:16, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1086, decode.loss_grad: 0.0000, loss: 0.1086, grad_norm: 0.0563 2024-01-03 17:05:05,308 - mmseg - INFO - Iter [7850/38400] lr: 2.762e-03, eta: 0:36:11, time: 0.065, data_time: 0.002, memory: 940, decode.loss_depth: 0.1097, decode.loss_grad: 0.0000, loss: 0.1097, grad_norm: 0.0588 2024-01-03 17:05:08,655 - mmseg - INFO - Iter [7900/38400] lr: 2.776e-03, eta: 0:36:07, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.1093, decode.loss_grad: 0.0000, loss: 0.1093, grad_norm: 0.0561 2024-01-03 17:05:11,963 - mmseg - INFO - Iter [7950/38400] lr: 2.790e-03, eta: 0:36:03, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1095, decode.loss_grad: 0.0000, loss: 0.1095, grad_norm: 0.0568 2024-01-03 17:05:15,243 - mmseg - INFO - Saving checkpoint at 8000 iterations 2024-01-03 17:05:15,256 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:05:15,257 - mmseg - INFO - Iter [8000/38400] lr: 2.804e-03, eta: 0:35:58, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1055, decode.loss_grad: 0.0000, loss: 0.1055, grad_norm: 0.0542 2024-01-03 17:05:18,556 - mmseg - INFO - Iter [8050/38400] lr: 2.817e-03, eta: 0:35:53, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1041, decode.loss_grad: 0.0000, loss: 0.1041, grad_norm: 0.0544 2024-01-03 17:05:21,868 - mmseg - INFO - Iter [8100/38400] lr: 2.831e-03, eta: 0:35:49, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1089, decode.loss_grad: 0.0000, loss: 0.1089, grad_norm: 0.0538 2024-01-03 17:05:25,164 - mmseg - INFO - Iter [8150/38400] lr: 2.844e-03, eta: 0:35:45, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1070, decode.loss_grad: 0.0000, loss: 0.1070, grad_norm: 0.0555 2024-01-03 17:05:28,459 - mmseg - INFO - Iter [8200/38400] lr: 2.857e-03, eta: 0:35:40, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1112, decode.loss_grad: 0.0000, loss: 0.1112, grad_norm: 0.0561 2024-01-03 17:05:31,814 - mmseg - INFO - Iter [8250/38400] lr: 2.871e-03, eta: 0:35:36, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.1092, decode.loss_grad: 0.0000, loss: 0.1092, grad_norm: 0.0547 2024-01-03 17:05:35,119 - mmseg - INFO - Iter [8300/38400] lr: 2.884e-03, eta: 0:35:31, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1099, decode.loss_grad: 0.0000, loss: 0.1099, grad_norm: 0.0537 2024-01-03 17:05:38,409 - mmseg - INFO - Iter [8350/38400] lr: 2.897e-03, eta: 0:35:27, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1047, decode.loss_grad: 0.0000, loss: 0.1047, grad_norm: 0.0496 2024-01-03 17:05:41,782 - mmseg - INFO - Iter [8400/38400] lr: 2.910e-03, eta: 0:35:23, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.1089, decode.loss_grad: 0.0000, loss: 0.1089, grad_norm: 0.0551 2024-01-03 17:05:45,074 - mmseg - INFO - Iter [8450/38400] lr: 2.923e-03, eta: 0:35:18, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1074, decode.loss_grad: 0.0000, loss: 0.1074, grad_norm: 0.0530 2024-01-03 17:05:48,385 - mmseg - INFO - Iter [8500/38400] lr: 2.936e-03, eta: 0:35:14, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1107, decode.loss_grad: 0.0000, loss: 0.1107, grad_norm: 0.0553 2024-01-03 17:05:51,754 - mmseg - INFO - Iter [8550/38400] lr: 2.949e-03, eta: 0:35:10, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.1084, decode.loss_grad: 0.0000, loss: 0.1084, grad_norm: 0.0494 2024-01-03 17:05:55,050 - mmseg - INFO - Iter [8600/38400] lr: 2.962e-03, eta: 0:35:06, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1083, decode.loss_grad: 0.0000, loss: 0.1083, grad_norm: 0.0503 2024-01-03 17:05:58,352 - mmseg - INFO - Iter [8650/38400] lr: 2.974e-03, eta: 0:35:01, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1065, decode.loss_grad: 0.0000, loss: 0.1065, grad_norm: 0.0506 2024-01-03 17:06:01,682 - mmseg - INFO - Iter [8700/38400] lr: 2.987e-03, eta: 0:34:57, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.1095, decode.loss_grad: 0.0000, loss: 0.1095, grad_norm: 0.0510 2024-01-03 17:06:05,017 - mmseg - INFO - Iter [8750/38400] lr: 3.000e-03, eta: 0:34:53, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.1085, decode.loss_grad: 0.0000, loss: 0.1085, grad_norm: 0.0503 2024-01-03 17:06:08,301 - mmseg - INFO - Iter [8800/38400] lr: 3.012e-03, eta: 0:34:49, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1087, decode.loss_grad: 0.0000, loss: 0.1087, grad_norm: 0.0535 2024-01-03 17:06:11,603 - mmseg - INFO - Iter [8850/38400] lr: 3.025e-03, eta: 0:34:44, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1062, decode.loss_grad: 0.0000, loss: 0.1062, grad_norm: 0.0500 2024-01-03 17:06:15,002 - mmseg - INFO - Iter [8900/38400] lr: 3.037e-03, eta: 0:34:40, time: 0.068, data_time: 0.002, memory: 940, decode.loss_depth: 0.1071, decode.loss_grad: 0.0000, loss: 0.1071, grad_norm: 0.0499 2024-01-03 17:06:18,309 - mmseg - INFO - Iter [8950/38400] lr: 3.049e-03, eta: 0:34:36, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1067, decode.loss_grad: 0.0000, loss: 0.1067, grad_norm: 0.0498 2024-01-03 17:06:21,601 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:06:21,601 - mmseg - INFO - Iter [9000/38400] lr: 3.061e-03, eta: 0:34:32, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1069, decode.loss_grad: 0.0000, loss: 0.1069, grad_norm: 0.0495 2024-01-03 17:06:24,979 - mmseg - INFO - Iter [9050/38400] lr: 3.073e-03, eta: 0:34:28, time: 0.068, data_time: 0.002, memory: 940, decode.loss_depth: 0.1054, decode.loss_grad: 0.0000, loss: 0.1054, grad_norm: 0.0466 2024-01-03 17:06:30,342 - mmseg - INFO - Iter [9100/38400] lr: 3.085e-03, eta: 0:34:30, time: 0.107, data_time: 0.043, memory: 940, decode.loss_depth: 0.1050, decode.loss_grad: 0.0000, loss: 0.1050, grad_norm: 0.0503 2024-01-03 17:06:33,688 - mmseg - INFO - Iter [9150/38400] lr: 3.097e-03, eta: 0:34:26, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.1066, decode.loss_grad: 0.0000, loss: 0.1066, grad_norm: 0.0492 2024-01-03 17:06:36,979 - mmseg - INFO - Iter [9200/38400] lr: 3.109e-03, eta: 0:34:22, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1049, decode.loss_grad: 0.0000, loss: 0.1049, grad_norm: 0.0480 2024-01-03 17:06:40,267 - mmseg - INFO - Iter [9250/38400] lr: 3.121e-03, eta: 0:34:17, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1045, decode.loss_grad: 0.0000, loss: 0.1045, grad_norm: 0.0455 2024-01-03 17:06:43,562 - mmseg - INFO - Iter [9300/38400] lr: 3.133e-03, eta: 0:34:13, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1036, decode.loss_grad: 0.0000, loss: 0.1036, grad_norm: 0.0453 2024-01-03 17:06:46,943 - mmseg - INFO - Iter [9350/38400] lr: 3.145e-03, eta: 0:34:09, time: 0.068, data_time: 0.002, memory: 940, decode.loss_depth: 0.1033, decode.loss_grad: 0.0000, loss: 0.1033, grad_norm: 0.0456 2024-01-03 17:06:50,241 - mmseg - INFO - Iter [9400/38400] lr: 3.156e-03, eta: 0:34:05, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1062, decode.loss_grad: 0.0000, loss: 0.1062, grad_norm: 0.0450 2024-01-03 17:06:53,541 - mmseg - INFO - Iter [9450/38400] lr: 3.168e-03, eta: 0:34:01, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1078, decode.loss_grad: 0.0000, loss: 0.1078, grad_norm: 0.0474 2024-01-03 17:06:56,834 - mmseg - INFO - Iter [9500/38400] lr: 3.179e-03, eta: 0:33:56, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1070, decode.loss_grad: 0.0000, loss: 0.1070, grad_norm: 0.0456 2024-01-03 17:07:00,120 - mmseg - INFO - Iter [9550/38400] lr: 3.190e-03, eta: 0:33:52, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1062, decode.loss_grad: 0.0000, loss: 0.1062, grad_norm: 0.0466 2024-01-03 17:07:03,407 - mmseg - INFO - Saving checkpoint at 9600 iterations 2024-01-03 17:07:03,423 - mmseg - INFO - Iter [9600/38400] lr: 3.202e-03, eta: 0:33:48, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1071, decode.loss_grad: 0.0000, loss: 0.1071, grad_norm: 0.0468 2024-01-03 17:07:10,023 - mmseg - INFO - Summary: 2024-01-03 17:07:10,024 - mmseg - INFO - +--------+--------+-------+---------+------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+-------+---------+------+--------+----------+---------+--------+ | 0.8665 | 0.9853 | 0.998 | 0.1255 | 0.41 | 0.0514 | 0.1473 | 11.2084 | 0.0702 | +--------+--------+-------+---------+------+--------+----------+---------+--------+ 2024-01-03 17:07:10,025 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/voc10k_distilled/vit_base_patch14_dinov2.lvd142m/best_abs_rel_iter_3200.pth was removed 2024-01-03 17:07:10,034 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_9600.pth. 2024-01-03 17:07:10,034 - mmseg - INFO - Best abs_rel is 0.1255 at 9600 iter. 2024-01-03 17:07:10,034 - mmseg - INFO - Iter(val) [82] a1: 0.8665, a2: 0.9853, a3: 0.9980, abs_rel: 0.12550531327724457, rmse: 0.4100201725959778, log_10: 0.05138816684484482, rmse_log: 0.14728011190891266, silog: 11.2084, sq_rel: 0.0702400878071785 2024-01-03 17:07:13,320 - mmseg - INFO - Iter [9650/38400] lr: 3.213e-03, eta: 0:34:04, time: 0.198, data_time: 0.134, memory: 940, decode.loss_depth: 0.1061, decode.loss_grad: 0.0000, loss: 0.1061, grad_norm: 0.0450 2024-01-03 17:07:16,622 - mmseg - INFO - Iter [9700/38400] lr: 3.224e-03, eta: 0:33:59, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1076, decode.loss_grad: 0.0000, loss: 0.1076, grad_norm: 0.0441 2024-01-03 17:07:19,925 - mmseg - INFO - Iter [9750/38400] lr: 3.235e-03, eta: 0:33:55, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1070, decode.loss_grad: 0.0000, loss: 0.1070, grad_norm: 0.0456 2024-01-03 17:07:23,220 - mmseg - INFO - Iter [9800/38400] lr: 3.246e-03, eta: 0:33:51, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1071, decode.loss_grad: 0.0000, loss: 0.1071, grad_norm: 0.0450 2024-01-03 17:07:26,504 - mmseg - INFO - Iter [9850/38400] lr: 3.257e-03, eta: 0:33:46, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1075, decode.loss_grad: 0.0000, loss: 0.1075, grad_norm: 0.0444 2024-01-03 17:07:29,790 - mmseg - INFO - Iter [9900/38400] lr: 3.268e-03, eta: 0:33:42, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1037, decode.loss_grad: 0.0000, loss: 0.1037, grad_norm: 0.0421 2024-01-03 17:07:33,077 - mmseg - INFO - Iter [9950/38400] lr: 3.278e-03, eta: 0:33:38, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1060, decode.loss_grad: 0.0000, loss: 0.1060, grad_norm: 0.0424 2024-01-03 17:07:36,368 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:07:36,368 - mmseg - INFO - Iter [10000/38400] lr: 3.289e-03, eta: 0:33:33, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1049, decode.loss_grad: 0.0000, loss: 0.1049, grad_norm: 0.0422 2024-01-03 17:07:39,674 - mmseg - INFO - Iter [10050/38400] lr: 3.300e-03, eta: 0:33:29, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1058, decode.loss_grad: 0.0000, loss: 0.1058, grad_norm: 0.0427 2024-01-03 17:07:42,957 - mmseg - INFO - Iter [10100/38400] lr: 3.310e-03, eta: 0:33:25, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1024, decode.loss_grad: 0.0000, loss: 0.1024, grad_norm: 0.0392 2024-01-03 17:07:46,238 - mmseg - INFO - Iter [10150/38400] lr: 3.320e-03, eta: 0:33:21, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1039, decode.loss_grad: 0.0000, loss: 0.1039, grad_norm: 0.0423 2024-01-03 17:07:49,528 - mmseg - INFO - Iter [10200/38400] lr: 3.331e-03, eta: 0:33:16, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1057, decode.loss_grad: 0.0000, loss: 0.1057, grad_norm: 0.0436 2024-01-03 17:07:52,816 - mmseg - INFO - Iter [10250/38400] lr: 3.341e-03, eta: 0:33:12, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1069, decode.loss_grad: 0.0000, loss: 0.1069, grad_norm: 0.0438 2024-01-03 17:07:56,111 - mmseg - INFO - Iter [10300/38400] lr: 3.351e-03, eta: 0:33:08, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1045, decode.loss_grad: 0.0000, loss: 0.1045, grad_norm: 0.0422 2024-01-03 17:07:59,403 - mmseg - INFO - Iter [10350/38400] lr: 3.361e-03, eta: 0:33:04, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1051, decode.loss_grad: 0.0000, loss: 0.1051, grad_norm: 0.0397 2024-01-03 17:08:02,729 - mmseg - INFO - Iter [10400/38400] lr: 3.371e-03, eta: 0:33:00, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.1024, decode.loss_grad: 0.0000, loss: 0.1024, grad_norm: 0.0405 2024-01-03 17:08:06,009 - mmseg - INFO - Iter [10450/38400] lr: 3.381e-03, eta: 0:32:55, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1061, decode.loss_grad: 0.0000, loss: 0.1061, grad_norm: 0.0422 2024-01-03 17:08:09,304 - mmseg - INFO - Iter [10500/38400] lr: 3.391e-03, eta: 0:32:51, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1041, decode.loss_grad: 0.0000, loss: 0.1041, grad_norm: 0.0386 2024-01-03 17:08:12,595 - mmseg - INFO - Iter [10550/38400] lr: 3.401e-03, eta: 0:32:47, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1025, decode.loss_grad: 0.0000, loss: 0.1025, grad_norm: 0.0393 2024-01-03 17:08:17,978 - mmseg - INFO - Iter [10600/38400] lr: 3.410e-03, eta: 0:32:48, time: 0.108, data_time: 0.043, memory: 940, decode.loss_depth: 0.1061, decode.loss_grad: 0.0000, loss: 0.1061, grad_norm: 0.0416 2024-01-03 17:08:21,304 - mmseg - INFO - Iter [10650/38400] lr: 3.420e-03, eta: 0:32:44, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.1042, decode.loss_grad: 0.0000, loss: 0.1042, grad_norm: 0.0379 2024-01-03 17:08:24,593 - mmseg - INFO - Iter [10700/38400] lr: 3.429e-03, eta: 0:32:40, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1049, decode.loss_grad: 0.0000, loss: 0.1049, grad_norm: 0.0383 2024-01-03 17:08:27,879 - mmseg - INFO - Iter [10750/38400] lr: 3.439e-03, eta: 0:32:36, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1040, decode.loss_grad: 0.0000, loss: 0.1040, grad_norm: 0.0396 2024-01-03 17:08:31,176 - mmseg - INFO - Iter [10800/38400] lr: 3.448e-03, eta: 0:32:32, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1038, decode.loss_grad: 0.0000, loss: 0.1038, grad_norm: 0.0407 2024-01-03 17:08:34,570 - mmseg - INFO - Iter [10850/38400] lr: 3.457e-03, eta: 0:32:28, time: 0.068, data_time: 0.002, memory: 940, decode.loss_depth: 0.1032, decode.loss_grad: 0.0000, loss: 0.1032, grad_norm: 0.0391 2024-01-03 17:08:37,857 - mmseg - INFO - Iter [10900/38400] lr: 3.466e-03, eta: 0:32:24, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1019, decode.loss_grad: 0.0000, loss: 0.1019, grad_norm: 0.0376 2024-01-03 17:08:41,159 - mmseg - INFO - Iter [10950/38400] lr: 3.475e-03, eta: 0:32:20, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1033, decode.loss_grad: 0.0000, loss: 0.1033, grad_norm: 0.0396 2024-01-03 17:08:44,452 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:08:44,452 - mmseg - INFO - Iter [11000/38400] lr: 3.484e-03, eta: 0:32:15, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0999, decode.loss_grad: 0.0000, loss: 0.0999, grad_norm: 0.0362 2024-01-03 17:08:47,733 - mmseg - INFO - Iter [11050/38400] lr: 3.493e-03, eta: 0:32:11, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1040, decode.loss_grad: 0.0000, loss: 0.1040, grad_norm: 0.0380 2024-01-03 17:08:51,037 - mmseg - INFO - Iter [11100/38400] lr: 3.502e-03, eta: 0:32:07, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1026, decode.loss_grad: 0.0000, loss: 0.1026, grad_norm: 0.0377 2024-01-03 17:08:54,323 - mmseg - INFO - Iter [11150/38400] lr: 3.511e-03, eta: 0:32:03, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1008, decode.loss_grad: 0.0000, loss: 0.1008, grad_norm: 0.0383 2024-01-03 17:08:57,616 - mmseg - INFO - Saving checkpoint at 11200 iterations 2024-01-03 17:08:57,627 - mmseg - INFO - Iter [11200/38400] lr: 3.519e-03, eta: 0:31:59, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1048, decode.loss_grad: 0.0000, loss: 0.1048, grad_norm: 0.0391 2024-01-03 17:09:00,900 - mmseg - INFO - Iter [11250/38400] lr: 3.528e-03, eta: 0:31:55, time: 0.065, data_time: 0.002, memory: 940, decode.loss_depth: 0.1019, decode.loss_grad: 0.0000, loss: 0.1019, grad_norm: 0.0391 2024-01-03 17:09:04,197 - mmseg - INFO - Iter [11300/38400] lr: 3.537e-03, eta: 0:31:51, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1068, decode.loss_grad: 0.0000, loss: 0.1068, grad_norm: 0.0378 2024-01-03 17:09:07,490 - mmseg - INFO - Iter [11350/38400] lr: 3.545e-03, eta: 0:31:47, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1029, decode.loss_grad: 0.0000, loss: 0.1029, grad_norm: 0.0373 2024-01-03 17:09:10,784 - mmseg - INFO - Iter [11400/38400] lr: 3.553e-03, eta: 0:31:43, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1027, decode.loss_grad: 0.0000, loss: 0.1027, grad_norm: 0.0370 2024-01-03 17:09:14,075 - mmseg - INFO - Iter [11450/38400] lr: 3.561e-03, eta: 0:31:39, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1022, decode.loss_grad: 0.0000, loss: 0.1022, grad_norm: 0.0363 2024-01-03 17:09:17,391 - mmseg - INFO - Iter [11500/38400] lr: 3.570e-03, eta: 0:31:35, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1040, decode.loss_grad: 0.0000, loss: 0.1040, grad_norm: 0.0370 2024-01-03 17:09:20,689 - mmseg - INFO - Iter [11550/38400] lr: 3.578e-03, eta: 0:31:30, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1018, decode.loss_grad: 0.0000, loss: 0.1018, grad_norm: 0.0373 2024-01-03 17:09:23,976 - mmseg - INFO - Iter [11600/38400] lr: 3.586e-03, eta: 0:31:26, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1022, decode.loss_grad: 0.0000, loss: 0.1022, grad_norm: 0.0353 2024-01-03 17:09:27,255 - mmseg - INFO - Iter [11650/38400] lr: 3.593e-03, eta: 0:31:22, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1047, decode.loss_grad: 0.0000, loss: 0.1047, grad_norm: 0.0364 2024-01-03 17:09:30,546 - mmseg - INFO - Iter [11700/38400] lr: 3.601e-03, eta: 0:31:18, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1031, decode.loss_grad: 0.0000, loss: 0.1031, grad_norm: 0.0377 2024-01-03 17:09:33,840 - mmseg - INFO - Iter [11750/38400] lr: 3.609e-03, eta: 0:31:14, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1046, decode.loss_grad: 0.0000, loss: 0.1046, grad_norm: 0.0359 2024-01-03 17:09:37,186 - mmseg - INFO - Iter [11800/38400] lr: 3.616e-03, eta: 0:31:10, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.1020, decode.loss_grad: 0.0000, loss: 0.1020, grad_norm: 0.0352 2024-01-03 17:09:40,467 - mmseg - INFO - Iter [11850/38400] lr: 3.624e-03, eta: 0:31:06, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1027, decode.loss_grad: 0.0000, loss: 0.1027, grad_norm: 0.0353 2024-01-03 17:09:43,769 - mmseg - INFO - Iter [11900/38400] lr: 3.631e-03, eta: 0:31:02, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1047, decode.loss_grad: 0.0000, loss: 0.1047, grad_norm: 0.0363 2024-01-03 17:09:47,063 - mmseg - INFO - Iter [11950/38400] lr: 3.639e-03, eta: 0:30:58, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1028, decode.loss_grad: 0.0000, loss: 0.1028, grad_norm: 0.0356 2024-01-03 17:09:50,358 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:09:50,358 - mmseg - INFO - Iter [12000/38400] lr: 3.646e-03, eta: 0:30:54, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1029, decode.loss_grad: 0.0000, loss: 0.1029, grad_norm: 0.0358 2024-01-03 17:09:53,687 - mmseg - INFO - Iter [12050/38400] lr: 3.653e-03, eta: 0:30:50, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.1034, decode.loss_grad: 0.0000, loss: 0.1034, grad_norm: 0.0331 2024-01-03 17:09:56,975 - mmseg - INFO - Iter [12100/38400] lr: 3.660e-03, eta: 0:30:46, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1035, decode.loss_grad: 0.0000, loss: 0.1035, grad_norm: 0.0329 2024-01-03 17:10:02,399 - mmseg - INFO - Iter [12150/38400] lr: 3.667e-03, eta: 0:30:47, time: 0.108, data_time: 0.043, memory: 940, decode.loss_depth: 0.0996, decode.loss_grad: 0.0000, loss: 0.0996, grad_norm: 0.0354 2024-01-03 17:10:05,689 - mmseg - INFO - Iter [12200/38400] lr: 3.674e-03, eta: 0:30:43, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1013, decode.loss_grad: 0.0000, loss: 0.1013, grad_norm: 0.0325 2024-01-03 17:10:09,024 - mmseg - INFO - Iter [12250/38400] lr: 3.681e-03, eta: 0:30:39, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.1016, decode.loss_grad: 0.0000, loss: 0.1016, grad_norm: 0.0346 2024-01-03 17:10:12,319 - mmseg - INFO - Iter [12300/38400] lr: 3.688e-03, eta: 0:30:35, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1012, decode.loss_grad: 0.0000, loss: 0.1012, grad_norm: 0.0327 2024-01-03 17:10:15,609 - mmseg - INFO - Iter [12350/38400] lr: 3.694e-03, eta: 0:30:31, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0996, decode.loss_grad: 0.0000, loss: 0.0996, grad_norm: 0.0331 2024-01-03 17:10:18,894 - mmseg - INFO - Iter [12400/38400] lr: 3.701e-03, eta: 0:30:27, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1010, decode.loss_grad: 0.0000, loss: 0.1010, grad_norm: 0.0319 2024-01-03 17:10:22,203 - mmseg - INFO - Iter [12450/38400] lr: 3.707e-03, eta: 0:30:23, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1020, decode.loss_grad: 0.0000, loss: 0.1020, grad_norm: 0.0349 2024-01-03 17:10:25,513 - mmseg - INFO - Iter [12500/38400] lr: 3.714e-03, eta: 0:30:19, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1014, decode.loss_grad: 0.0000, loss: 0.1014, grad_norm: 0.0349 2024-01-03 17:10:28,804 - mmseg - INFO - Iter [12550/38400] lr: 3.720e-03, eta: 0:30:15, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1006, decode.loss_grad: 0.0000, loss: 0.1006, grad_norm: 0.0335 2024-01-03 17:10:32,310 - mmseg - INFO - Iter [12600/38400] lr: 3.726e-03, eta: 0:30:12, time: 0.070, data_time: 0.002, memory: 940, decode.loss_depth: 0.1003, decode.loss_grad: 0.0000, loss: 0.1003, grad_norm: 0.0334 2024-01-03 17:10:35,623 - mmseg - INFO - Iter [12650/38400] lr: 3.732e-03, eta: 0:30:08, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1034, decode.loss_grad: 0.0000, loss: 0.1034, grad_norm: 0.0335 2024-01-03 17:10:38,917 - mmseg - INFO - Iter [12700/38400] lr: 3.738e-03, eta: 0:30:04, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1019, decode.loss_grad: 0.0000, loss: 0.1019, grad_norm: 0.0333 2024-01-03 17:10:42,286 - mmseg - INFO - Iter [12750/38400] lr: 3.744e-03, eta: 0:30:00, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.0988, decode.loss_grad: 0.0000, loss: 0.0988, grad_norm: 0.0310 2024-01-03 17:10:45,594 - mmseg - INFO - Saving checkpoint at 12800 iterations 2024-01-03 17:10:45,608 - mmseg - INFO - Iter [12800/38400] lr: 3.750e-03, eta: 0:29:56, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0995, decode.loss_grad: 0.0000, loss: 0.0995, grad_norm: 0.0320 2024-01-03 17:10:52,157 - mmseg - INFO - Summary: 2024-01-03 17:10:52,158 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.8759 | 0.9874 | 0.9982 | 0.1199 | 0.3957 | 0.0494 | 0.1428 | 11.0875 | 0.0649 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:10:52,160 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/voc10k_distilled/vit_base_patch14_dinov2.lvd142m/best_abs_rel_iter_9600.pth was removed 2024-01-03 17:10:52,170 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_12800.pth. 2024-01-03 17:10:52,170 - mmseg - INFO - Best abs_rel is 0.1199 at 12800 iter. 2024-01-03 17:10:52,170 - mmseg - INFO - Iter(val) [82] a1: 0.8759, a2: 0.9874, a3: 0.9982, abs_rel: 0.11989859491586685, rmse: 0.3957083821296692, log_10: 0.049421198666095734, rmse_log: 0.1427748054265976, silog: 11.0875, sq_rel: 0.06489606201648712 2024-01-03 17:10:55,465 - mmseg - INFO - Iter [12850/38400] lr: 3.741e-03, eta: 0:30:05, time: 0.197, data_time: 0.133, memory: 940, decode.loss_depth: 0.0985, decode.loss_grad: 0.0000, loss: 0.0985, grad_norm: 0.0318 2024-01-03 17:10:58,765 - mmseg - INFO - Iter [12900/38400] lr: 3.732e-03, eta: 0:30:01, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1001, decode.loss_grad: 0.0000, loss: 0.1001, grad_norm: 0.0312 2024-01-03 17:11:02,063 - mmseg - INFO - Iter [12950/38400] lr: 3.724e-03, eta: 0:29:57, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0979, decode.loss_grad: 0.0000, loss: 0.0979, grad_norm: 0.0307 2024-01-03 17:11:05,354 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:11:05,355 - mmseg - INFO - Iter [13000/38400] lr: 3.715e-03, eta: 0:29:53, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1009, decode.loss_grad: 0.0000, loss: 0.1009, grad_norm: 0.0328 2024-01-03 17:11:08,644 - mmseg - INFO - Iter [13050/38400] lr: 3.706e-03, eta: 0:29:49, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0981, decode.loss_grad: 0.0000, loss: 0.0981, grad_norm: 0.0322 2024-01-03 17:11:11,929 - mmseg - INFO - Iter [13100/38400] lr: 3.697e-03, eta: 0:29:45, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0991, decode.loss_grad: 0.0000, loss: 0.0991, grad_norm: 0.0315 2024-01-03 17:11:15,240 - mmseg - INFO - Iter [13150/38400] lr: 3.688e-03, eta: 0:29:41, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0991, decode.loss_grad: 0.0000, loss: 0.0991, grad_norm: 0.0308 2024-01-03 17:11:18,525 - mmseg - INFO - Iter [13200/38400] lr: 3.679e-03, eta: 0:29:37, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1005, decode.loss_grad: 0.0000, loss: 0.1005, grad_norm: 0.0321 2024-01-03 17:11:21,826 - mmseg - INFO - Iter [13250/38400] lr: 3.670e-03, eta: 0:29:33, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1006, decode.loss_grad: 0.0000, loss: 0.1006, grad_norm: 0.0318 2024-01-03 17:11:25,108 - mmseg - INFO - Iter [13300/38400] lr: 3.661e-03, eta: 0:29:29, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1022, decode.loss_grad: 0.0000, loss: 0.1022, grad_norm: 0.0346 2024-01-03 17:11:28,413 - mmseg - INFO - Iter [13350/38400] lr: 3.652e-03, eta: 0:29:26, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1011, decode.loss_grad: 0.0000, loss: 0.1011, grad_norm: 0.0324 2024-01-03 17:11:31,743 - mmseg - INFO - Iter [13400/38400] lr: 3.642e-03, eta: 0:29:22, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.0995, decode.loss_grad: 0.0000, loss: 0.0995, grad_norm: 0.0305 2024-01-03 17:11:35,085 - mmseg - INFO - Iter [13450/38400] lr: 3.633e-03, eta: 0:29:18, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.1010, decode.loss_grad: 0.0000, loss: 0.1010, grad_norm: 0.0315 2024-01-03 17:11:38,378 - mmseg - INFO - Iter [13500/38400] lr: 3.624e-03, eta: 0:29:14, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1000, decode.loss_grad: 0.0000, loss: 0.1000, grad_norm: 0.0327 2024-01-03 17:11:41,651 - mmseg - INFO - Iter [13550/38400] lr: 3.615e-03, eta: 0:29:10, time: 0.065, data_time: 0.002, memory: 940, decode.loss_depth: 0.1013, decode.loss_grad: 0.0000, loss: 0.1013, grad_norm: 0.0301 2024-01-03 17:11:45,008 - mmseg - INFO - Iter [13600/38400] lr: 3.606e-03, eta: 0:29:06, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.1029, decode.loss_grad: 0.0000, loss: 0.1029, grad_norm: 0.0327 2024-01-03 17:11:50,384 - mmseg - INFO - Iter [13650/38400] lr: 3.597e-03, eta: 0:29:06, time: 0.108, data_time: 0.043, memory: 940, decode.loss_depth: 0.0977, decode.loss_grad: 0.0000, loss: 0.0977, grad_norm: 0.0304 2024-01-03 17:11:53,692 - mmseg - INFO - Iter [13700/38400] lr: 3.588e-03, eta: 0:29:02, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1010, decode.loss_grad: 0.0000, loss: 0.1010, grad_norm: 0.0301 2024-01-03 17:11:57,004 - mmseg - INFO - Iter [13750/38400] lr: 3.578e-03, eta: 0:28:58, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0951, decode.loss_grad: 0.0000, loss: 0.0951, grad_norm: 0.0280 2024-01-03 17:12:00,279 - mmseg - INFO - Iter [13800/38400] lr: 3.569e-03, eta: 0:28:54, time: 0.065, data_time: 0.002, memory: 940, decode.loss_depth: 0.0999, decode.loss_grad: 0.0000, loss: 0.0999, grad_norm: 0.0305 2024-01-03 17:12:03,556 - mmseg - INFO - Iter [13850/38400] lr: 3.560e-03, eta: 0:28:50, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0978, decode.loss_grad: 0.0000, loss: 0.0978, grad_norm: 0.0290 2024-01-03 17:12:06,844 - mmseg - INFO - Iter [13900/38400] lr: 3.551e-03, eta: 0:28:46, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0997, decode.loss_grad: 0.0000, loss: 0.0997, grad_norm: 0.0314 2024-01-03 17:12:10,139 - mmseg - INFO - Iter [13950/38400] lr: 3.541e-03, eta: 0:28:42, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0994, decode.loss_grad: 0.0000, loss: 0.0994, grad_norm: 0.0292 2024-01-03 17:12:13,450 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:12:13,451 - mmseg - INFO - Iter [14000/38400] lr: 3.532e-03, eta: 0:28:38, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0972, decode.loss_grad: 0.0000, loss: 0.0972, grad_norm: 0.0287 2024-01-03 17:12:16,740 - mmseg - INFO - Iter [14050/38400] lr: 3.523e-03, eta: 0:28:34, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0954, decode.loss_grad: 0.0000, loss: 0.0954, grad_norm: 0.0289 2024-01-03 17:12:20,034 - mmseg - INFO - Iter [14100/38400] lr: 3.513e-03, eta: 0:28:30, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0959, decode.loss_grad: 0.0000, loss: 0.0959, grad_norm: 0.0301 2024-01-03 17:12:23,316 - mmseg - INFO - Iter [14150/38400] lr: 3.504e-03, eta: 0:28:27, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0978, decode.loss_grad: 0.0000, loss: 0.0978, grad_norm: 0.0294 2024-01-03 17:12:26,609 - mmseg - INFO - Iter [14200/38400] lr: 3.495e-03, eta: 0:28:23, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0953, decode.loss_grad: 0.0000, loss: 0.0953, grad_norm: 0.0274 2024-01-03 17:12:29,896 - mmseg - INFO - Iter [14250/38400] lr: 3.485e-03, eta: 0:28:19, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0954, decode.loss_grad: 0.0000, loss: 0.0954, grad_norm: 0.0288 2024-01-03 17:12:33,186 - mmseg - INFO - Iter [14300/38400] lr: 3.476e-03, eta: 0:28:15, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0972, decode.loss_grad: 0.0000, loss: 0.0972, grad_norm: 0.0282 2024-01-03 17:12:36,477 - mmseg - INFO - Iter [14350/38400] lr: 3.466e-03, eta: 0:28:11, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0962, decode.loss_grad: 0.0000, loss: 0.0962, grad_norm: 0.0299 2024-01-03 17:12:39,758 - mmseg - INFO - Saving checkpoint at 14400 iterations 2024-01-03 17:12:39,770 - mmseg - INFO - Iter [14400/38400] lr: 3.457e-03, eta: 0:28:07, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0966, decode.loss_grad: 0.0000, loss: 0.0966, grad_norm: 0.0279 2024-01-03 17:12:43,054 - mmseg - INFO - Iter [14450/38400] lr: 3.447e-03, eta: 0:28:03, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1006, decode.loss_grad: 0.0000, loss: 0.1006, grad_norm: 0.0309 2024-01-03 17:12:46,359 - mmseg - INFO - Iter [14500/38400] lr: 3.438e-03, eta: 0:27:59, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0990, decode.loss_grad: 0.0000, loss: 0.0990, grad_norm: 0.0304 2024-01-03 17:12:49,748 - mmseg - INFO - Iter [14550/38400] lr: 3.428e-03, eta: 0:27:56, time: 0.068, data_time: 0.002, memory: 940, decode.loss_depth: 0.0984, decode.loss_grad: 0.0000, loss: 0.0984, grad_norm: 0.0283 2024-01-03 17:12:53,040 - mmseg - INFO - Iter [14600/38400] lr: 3.419e-03, eta: 0:27:52, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0986, decode.loss_grad: 0.0000, loss: 0.0986, grad_norm: 0.0302 2024-01-03 17:12:56,326 - mmseg - INFO - Iter [14650/38400] lr: 3.409e-03, eta: 0:27:48, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0961, decode.loss_grad: 0.0000, loss: 0.0961, grad_norm: 0.0286 2024-01-03 17:12:59,864 - mmseg - INFO - Iter [14700/38400] lr: 3.400e-03, eta: 0:27:44, time: 0.071, data_time: 0.002, memory: 940, decode.loss_depth: 0.0967, decode.loss_grad: 0.0000, loss: 0.0967, grad_norm: 0.0292 2024-01-03 17:13:03,160 - mmseg - INFO - Iter [14750/38400] lr: 3.390e-03, eta: 0:27:40, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.1001, decode.loss_grad: 0.0000, loss: 0.1001, grad_norm: 0.0283 2024-01-03 17:13:06,472 - mmseg - INFO - Iter [14800/38400] lr: 3.381e-03, eta: 0:27:37, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0983, decode.loss_grad: 0.0000, loss: 0.0983, grad_norm: 0.0295 2024-01-03 17:13:09,771 - mmseg - INFO - Iter [14850/38400] lr: 3.371e-03, eta: 0:27:33, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0978, decode.loss_grad: 0.0000, loss: 0.0978, grad_norm: 0.0294 2024-01-03 17:13:13,068 - mmseg - INFO - Iter [14900/38400] lr: 3.362e-03, eta: 0:27:29, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0982, decode.loss_grad: 0.0000, loss: 0.0982, grad_norm: 0.0282 2024-01-03 17:13:16,357 - mmseg - INFO - Iter [14950/38400] lr: 3.352e-03, eta: 0:27:25, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0971, decode.loss_grad: 0.0000, loss: 0.0971, grad_norm: 0.0289 2024-01-03 17:13:19,670 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:13:19,670 - mmseg - INFO - Iter [15000/38400] lr: 3.342e-03, eta: 0:27:21, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0949, decode.loss_grad: 0.0000, loss: 0.0949, grad_norm: 0.0288 2024-01-03 17:13:22,982 - mmseg - INFO - Iter [15050/38400] lr: 3.333e-03, eta: 0:27:17, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0971, decode.loss_grad: 0.0000, loss: 0.0971, grad_norm: 0.0281 2024-01-03 17:13:26,305 - mmseg - INFO - Iter [15100/38400] lr: 3.323e-03, eta: 0:27:14, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0969, decode.loss_grad: 0.0000, loss: 0.0969, grad_norm: 0.0290 2024-01-03 17:13:31,673 - mmseg - INFO - Iter [15150/38400] lr: 3.313e-03, eta: 0:27:13, time: 0.107, data_time: 0.043, memory: 940, decode.loss_depth: 0.0966, decode.loss_grad: 0.0000, loss: 0.0966, grad_norm: 0.0279 2024-01-03 17:13:35,003 - mmseg - INFO - Iter [15200/38400] lr: 3.304e-03, eta: 0:27:09, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.0967, decode.loss_grad: 0.0000, loss: 0.0967, grad_norm: 0.0271 2024-01-03 17:13:38,300 - mmseg - INFO - Iter [15250/38400] lr: 3.294e-03, eta: 0:27:05, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0946, decode.loss_grad: 0.0000, loss: 0.0946, grad_norm: 0.0273 2024-01-03 17:13:41,590 - mmseg - INFO - Iter [15300/38400] lr: 3.284e-03, eta: 0:27:02, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0920, decode.loss_grad: 0.0000, loss: 0.0920, grad_norm: 0.0264 2024-01-03 17:13:44,941 - mmseg - INFO - Iter [15350/38400] lr: 3.275e-03, eta: 0:26:58, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.0966, decode.loss_grad: 0.0000, loss: 0.0966, grad_norm: 0.0280 2024-01-03 17:13:48,234 - mmseg - INFO - Iter [15400/38400] lr: 3.265e-03, eta: 0:26:54, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0953, decode.loss_grad: 0.0000, loss: 0.0953, grad_norm: 0.0274 2024-01-03 17:13:51,536 - mmseg - INFO - Iter [15450/38400] lr: 3.255e-03, eta: 0:26:50, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0964, decode.loss_grad: 0.0000, loss: 0.0964, grad_norm: 0.0284 2024-01-03 17:13:54,833 - mmseg - INFO - Iter [15500/38400] lr: 3.245e-03, eta: 0:26:46, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0967, decode.loss_grad: 0.0000, loss: 0.0967, grad_norm: 0.0278 2024-01-03 17:13:58,117 - mmseg - INFO - Iter [15550/38400] lr: 3.236e-03, eta: 0:26:42, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0937, decode.loss_grad: 0.0000, loss: 0.0937, grad_norm: 0.0272 2024-01-03 17:14:01,418 - mmseg - INFO - Iter [15600/38400] lr: 3.226e-03, eta: 0:26:39, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0968, decode.loss_grad: 0.0000, loss: 0.0968, grad_norm: 0.0293 2024-01-03 17:14:04,711 - mmseg - INFO - Iter [15650/38400] lr: 3.216e-03, eta: 0:26:35, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0950, decode.loss_grad: 0.0000, loss: 0.0950, grad_norm: 0.0277 2024-01-03 17:14:08,016 - mmseg - INFO - Iter [15700/38400] lr: 3.206e-03, eta: 0:26:31, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0951, decode.loss_grad: 0.0000, loss: 0.0951, grad_norm: 0.0271 2024-01-03 17:14:11,328 - mmseg - INFO - Iter [15750/38400] lr: 3.196e-03, eta: 0:26:27, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0945, decode.loss_grad: 0.0000, loss: 0.0945, grad_norm: 0.0290 2024-01-03 17:14:14,635 - mmseg - INFO - Iter [15800/38400] lr: 3.187e-03, eta: 0:26:23, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0964, decode.loss_grad: 0.0000, loss: 0.0964, grad_norm: 0.0279 2024-01-03 17:14:17,921 - mmseg - INFO - Iter [15850/38400] lr: 3.177e-03, eta: 0:26:20, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0928, decode.loss_grad: 0.0000, loss: 0.0928, grad_norm: 0.0276 2024-01-03 17:14:21,239 - mmseg - INFO - Iter [15900/38400] lr: 3.167e-03, eta: 0:26:16, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0965, decode.loss_grad: 0.0000, loss: 0.0965, grad_norm: 0.0282 2024-01-03 17:14:24,560 - mmseg - INFO - Iter [15950/38400] lr: 3.157e-03, eta: 0:26:12, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0972, decode.loss_grad: 0.0000, loss: 0.0972, grad_norm: 0.0288 2024-01-03 17:14:27,849 - mmseg - INFO - Saving checkpoint at 16000 iterations 2024-01-03 17:14:27,867 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:14:27,867 - mmseg - INFO - Iter [16000/38400] lr: 3.147e-03, eta: 0:26:08, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0972, decode.loss_grad: 0.0000, loss: 0.0972, grad_norm: 0.0273 2024-01-03 17:14:34,483 - mmseg - INFO - Summary: 2024-01-03 17:14:34,483 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.8758 | 0.9879 | 0.9984 | 0.1188 | 0.3943 | 0.0494 | 0.1427 | 11.0693 | 0.0623 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:14:34,485 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/voc10k_distilled/vit_base_patch14_dinov2.lvd142m/best_abs_rel_iter_12800.pth was removed 2024-01-03 17:14:34,493 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_16000.pth. 2024-01-03 17:14:34,494 - mmseg - INFO - Best abs_rel is 0.1188 at 16000 iter. 2024-01-03 17:14:34,494 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:14:34,494 - mmseg - INFO - Iter(val) [82] a1: 0.8758, a2: 0.9879, a3: 0.9984, abs_rel: 0.11877273768186569, rmse: 0.3942827582359314, log_10: 0.04938234016299248, rmse_log: 0.14266003668308258, silog: 11.0693, sq_rel: 0.06226111948490143 2024-01-03 17:14:37,793 - mmseg - INFO - Iter [16050/38400] lr: 3.137e-03, eta: 0:26:14, time: 0.199, data_time: 0.134, memory: 940, decode.loss_depth: 0.0957, decode.loss_grad: 0.0000, loss: 0.0957, grad_norm: 0.0282 2024-01-03 17:14:41,084 - mmseg - INFO - Iter [16100/38400] lr: 3.127e-03, eta: 0:26:10, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0921, decode.loss_grad: 0.0000, loss: 0.0921, grad_norm: 0.0266 2024-01-03 17:14:44,409 - mmseg - INFO - Iter [16150/38400] lr: 3.118e-03, eta: 0:26:06, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0948, decode.loss_grad: 0.0000, loss: 0.0948, grad_norm: 0.0281 2024-01-03 17:14:47,721 - mmseg - INFO - Iter [16200/38400] lr: 3.108e-03, eta: 0:26:02, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0945, decode.loss_grad: 0.0000, loss: 0.0945, grad_norm: 0.0277 2024-01-03 17:14:51,006 - mmseg - INFO - Iter [16250/38400] lr: 3.098e-03, eta: 0:25:59, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0950, decode.loss_grad: 0.0000, loss: 0.0950, grad_norm: 0.0258 2024-01-03 17:14:54,289 - mmseg - INFO - Iter [16300/38400] lr: 3.088e-03, eta: 0:25:55, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0947, decode.loss_grad: 0.0000, loss: 0.0947, grad_norm: 0.0279 2024-01-03 17:14:57,613 - mmseg - INFO - Iter [16350/38400] lr: 3.078e-03, eta: 0:25:51, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0959, decode.loss_grad: 0.0000, loss: 0.0959, grad_norm: 0.0274 2024-01-03 17:15:00,901 - mmseg - INFO - Iter [16400/38400] lr: 3.068e-03, eta: 0:25:47, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0939, decode.loss_grad: 0.0000, loss: 0.0939, grad_norm: 0.0264 2024-01-03 17:15:04,207 - mmseg - INFO - Iter [16450/38400] lr: 3.058e-03, eta: 0:25:43, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0933, decode.loss_grad: 0.0000, loss: 0.0933, grad_norm: 0.0263 2024-01-03 17:15:07,525 - mmseg - INFO - Iter [16500/38400] lr: 3.048e-03, eta: 0:25:39, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0969, decode.loss_grad: 0.0000, loss: 0.0969, grad_norm: 0.0281 2024-01-03 17:15:10,825 - mmseg - INFO - Iter [16550/38400] lr: 3.038e-03, eta: 0:25:36, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0926, decode.loss_grad: 0.0000, loss: 0.0926, grad_norm: 0.0277 2024-01-03 17:15:14,138 - mmseg - INFO - Iter [16600/38400] lr: 3.028e-03, eta: 0:25:32, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0957, decode.loss_grad: 0.0000, loss: 0.0957, grad_norm: 0.0274 2024-01-03 17:15:17,427 - mmseg - INFO - Iter [16650/38400] lr: 3.018e-03, eta: 0:25:28, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0939, decode.loss_grad: 0.0000, loss: 0.0939, grad_norm: 0.0262 2024-01-03 17:15:22,812 - mmseg - INFO - Iter [16700/38400] lr: 3.008e-03, eta: 0:25:27, time: 0.108, data_time: 0.043, memory: 940, decode.loss_depth: 0.0919, decode.loss_grad: 0.0000, loss: 0.0919, grad_norm: 0.0255 2024-01-03 17:15:26,113 - mmseg - INFO - Iter [16750/38400] lr: 2.998e-03, eta: 0:25:23, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0927, decode.loss_grad: 0.0000, loss: 0.0927, grad_norm: 0.0273 2024-01-03 17:15:29,471 - mmseg - INFO - Iter [16800/38400] lr: 2.988e-03, eta: 0:25:19, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.0938, decode.loss_grad: 0.0000, loss: 0.0938, grad_norm: 0.0264 2024-01-03 17:15:32,762 - mmseg - INFO - Iter [16850/38400] lr: 2.978e-03, eta: 0:25:16, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0921, decode.loss_grad: 0.0000, loss: 0.0921, grad_norm: 0.0266 2024-01-03 17:15:36,051 - mmseg - INFO - Iter [16900/38400] lr: 2.968e-03, eta: 0:25:12, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0949, decode.loss_grad: 0.0000, loss: 0.0949, grad_norm: 0.0262 2024-01-03 17:15:39,368 - mmseg - INFO - Iter [16950/38400] lr: 2.958e-03, eta: 0:25:08, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0917, decode.loss_grad: 0.0000, loss: 0.0917, grad_norm: 0.0269 2024-01-03 17:15:42,662 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:15:42,662 - mmseg - INFO - Iter [17000/38400] lr: 2.948e-03, eta: 0:25:04, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0915, decode.loss_grad: 0.0000, loss: 0.0915, grad_norm: 0.0255 2024-01-03 17:15:45,957 - mmseg - INFO - Iter [17050/38400] lr: 2.938e-03, eta: 0:25:01, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0927, decode.loss_grad: 0.0000, loss: 0.0927, grad_norm: 0.0261 2024-01-03 17:15:49,254 - mmseg - INFO - Iter [17100/38400] lr: 2.928e-03, eta: 0:24:57, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0909, decode.loss_grad: 0.0000, loss: 0.0909, grad_norm: 0.0267 2024-01-03 17:15:52,546 - mmseg - INFO - Iter [17150/38400] lr: 2.918e-03, eta: 0:24:53, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0920, decode.loss_grad: 0.0000, loss: 0.0920, grad_norm: 0.0268 2024-01-03 17:15:55,843 - mmseg - INFO - Iter [17200/38400] lr: 2.907e-03, eta: 0:24:49, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0891, decode.loss_grad: 0.0000, loss: 0.0891, grad_norm: 0.0260 2024-01-03 17:15:59,137 - mmseg - INFO - Iter [17250/38400] lr: 2.897e-03, eta: 0:24:45, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0958, decode.loss_grad: 0.0000, loss: 0.0958, grad_norm: 0.0289 2024-01-03 17:16:02,450 - mmseg - INFO - Iter [17300/38400] lr: 2.887e-03, eta: 0:24:42, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0927, decode.loss_grad: 0.0000, loss: 0.0927, grad_norm: 0.0250 2024-01-03 17:16:05,748 - mmseg - INFO - Iter [17350/38400] lr: 2.877e-03, eta: 0:24:38, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0927, decode.loss_grad: 0.0000, loss: 0.0927, grad_norm: 0.0254 2024-01-03 17:16:09,034 - mmseg - INFO - Iter [17400/38400] lr: 2.867e-03, eta: 0:24:34, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0911, decode.loss_grad: 0.0000, loss: 0.0911, grad_norm: 0.0244 2024-01-03 17:16:12,422 - mmseg - INFO - Iter [17450/38400] lr: 2.857e-03, eta: 0:24:30, time: 0.068, data_time: 0.002, memory: 940, decode.loss_depth: 0.0930, decode.loss_grad: 0.0000, loss: 0.0930, grad_norm: 0.0278 2024-01-03 17:16:15,728 - mmseg - INFO - Iter [17500/38400] lr: 2.847e-03, eta: 0:24:27, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0905, decode.loss_grad: 0.0000, loss: 0.0905, grad_norm: 0.0249 2024-01-03 17:16:19,048 - mmseg - INFO - Iter [17550/38400] lr: 2.837e-03, eta: 0:24:23, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0923, decode.loss_grad: 0.0000, loss: 0.0923, grad_norm: 0.0251 2024-01-03 17:16:22,415 - mmseg - INFO - Saving checkpoint at 17600 iterations 2024-01-03 17:16:22,427 - mmseg - INFO - Iter [17600/38400] lr: 2.827e-03, eta: 0:24:19, time: 0.068, data_time: 0.002, memory: 940, decode.loss_depth: 0.0954, decode.loss_grad: 0.0000, loss: 0.0954, grad_norm: 0.0261 2024-01-03 17:16:25,739 - mmseg - INFO - Iter [17650/38400] lr: 2.816e-03, eta: 0:24:16, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0924, decode.loss_grad: 0.0000, loss: 0.0924, grad_norm: 0.0251 2024-01-03 17:16:29,031 - mmseg - INFO - Iter [17700/38400] lr: 2.806e-03, eta: 0:24:12, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0906, decode.loss_grad: 0.0000, loss: 0.0906, grad_norm: 0.0253 2024-01-03 17:16:32,341 - mmseg - INFO - Iter [17750/38400] lr: 2.796e-03, eta: 0:24:08, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0949, decode.loss_grad: 0.0000, loss: 0.0949, grad_norm: 0.0273 2024-01-03 17:16:35,665 - mmseg - INFO - Iter [17800/38400] lr: 2.786e-03, eta: 0:24:04, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0938, decode.loss_grad: 0.0000, loss: 0.0938, grad_norm: 0.0281 2024-01-03 17:16:38,952 - mmseg - INFO - Iter [17850/38400] lr: 2.776e-03, eta: 0:24:01, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0940, decode.loss_grad: 0.0000, loss: 0.0940, grad_norm: 0.0273 2024-01-03 17:16:42,284 - mmseg - INFO - Iter [17900/38400] lr: 2.766e-03, eta: 0:23:57, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.0922, decode.loss_grad: 0.0000, loss: 0.0922, grad_norm: 0.0269 2024-01-03 17:16:45,575 - mmseg - INFO - Iter [17950/38400] lr: 2.755e-03, eta: 0:23:53, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0934, decode.loss_grad: 0.0000, loss: 0.0934, grad_norm: 0.0265 2024-01-03 17:16:48,873 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:16:48,873 - mmseg - INFO - Iter [18000/38400] lr: 2.745e-03, eta: 0:23:49, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0918, decode.loss_grad: 0.0000, loss: 0.0918, grad_norm: 0.0253 2024-01-03 17:16:52,171 - mmseg - INFO - Iter [18050/38400] lr: 2.735e-03, eta: 0:23:46, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0927, decode.loss_grad: 0.0000, loss: 0.0927, grad_norm: 0.0275 2024-01-03 17:16:55,463 - mmseg - INFO - Iter [18100/38400] lr: 2.725e-03, eta: 0:23:42, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0915, decode.loss_grad: 0.0000, loss: 0.0915, grad_norm: 0.0242 2024-01-03 17:16:58,779 - mmseg - INFO - Iter [18150/38400] lr: 2.715e-03, eta: 0:23:38, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0922, decode.loss_grad: 0.0000, loss: 0.0922, grad_norm: 0.0259 2024-01-03 17:17:04,141 - mmseg - INFO - Iter [18200/38400] lr: 2.705e-03, eta: 0:23:37, time: 0.107, data_time: 0.043, memory: 940, decode.loss_depth: 0.0904, decode.loss_grad: 0.0000, loss: 0.0904, grad_norm: 0.0247 2024-01-03 17:17:07,443 - mmseg - INFO - Iter [18250/38400] lr: 2.694e-03, eta: 0:23:33, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0887, decode.loss_grad: 0.0000, loss: 0.0887, grad_norm: 0.0253 2024-01-03 17:17:10,749 - mmseg - INFO - Iter [18300/38400] lr: 2.684e-03, eta: 0:23:29, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0919, decode.loss_grad: 0.0000, loss: 0.0919, grad_norm: 0.0248 2024-01-03 17:17:14,032 - mmseg - INFO - Iter [18350/38400] lr: 2.674e-03, eta: 0:23:25, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0893, decode.loss_grad: 0.0000, loss: 0.0893, grad_norm: 0.0250 2024-01-03 17:17:17,355 - mmseg - INFO - Iter [18400/38400] lr: 2.664e-03, eta: 0:23:22, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0916, decode.loss_grad: 0.0000, loss: 0.0916, grad_norm: 0.0267 2024-01-03 17:17:20,677 - mmseg - INFO - Iter [18450/38400] lr: 2.654e-03, eta: 0:23:18, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0897, decode.loss_grad: 0.0000, loss: 0.0897, grad_norm: 0.0259 2024-01-03 17:17:23,976 - mmseg - INFO - Iter [18500/38400] lr: 2.643e-03, eta: 0:23:14, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0900, decode.loss_grad: 0.0000, loss: 0.0900, grad_norm: 0.0252 2024-01-03 17:17:27,282 - mmseg - INFO - Iter [18550/38400] lr: 2.633e-03, eta: 0:23:11, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0896, decode.loss_grad: 0.0000, loss: 0.0896, grad_norm: 0.0262 2024-01-03 17:17:30,580 - mmseg - INFO - Iter [18600/38400] lr: 2.623e-03, eta: 0:23:07, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0895, decode.loss_grad: 0.0000, loss: 0.0895, grad_norm: 0.0270 2024-01-03 17:17:33,876 - mmseg - INFO - Iter [18650/38400] lr: 2.613e-03, eta: 0:23:03, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0910, decode.loss_grad: 0.0000, loss: 0.0910, grad_norm: 0.0254 2024-01-03 17:17:37,161 - mmseg - INFO - Iter [18700/38400] lr: 2.602e-03, eta: 0:22:59, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0900, decode.loss_grad: 0.0000, loss: 0.0900, grad_norm: 0.0251 2024-01-03 17:17:40,539 - mmseg - INFO - Iter [18750/38400] lr: 2.592e-03, eta: 0:22:56, time: 0.068, data_time: 0.002, memory: 940, decode.loss_depth: 0.0916, decode.loss_grad: 0.0000, loss: 0.0916, grad_norm: 0.0258 2024-01-03 17:17:43,840 - mmseg - INFO - Iter [18800/38400] lr: 2.582e-03, eta: 0:22:52, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0911, decode.loss_grad: 0.0000, loss: 0.0911, grad_norm: 0.0254 2024-01-03 17:17:47,140 - mmseg - INFO - Iter [18850/38400] lr: 2.572e-03, eta: 0:22:48, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0923, decode.loss_grad: 0.0000, loss: 0.0923, grad_norm: 0.0265 2024-01-03 17:17:50,439 - mmseg - INFO - Iter [18900/38400] lr: 2.562e-03, eta: 0:22:45, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0907, decode.loss_grad: 0.0000, loss: 0.0907, grad_norm: 0.0261 2024-01-03 17:17:53,748 - mmseg - INFO - Iter [18950/38400] lr: 2.551e-03, eta: 0:22:41, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0913, decode.loss_grad: 0.0000, loss: 0.0913, grad_norm: 0.0264 2024-01-03 17:17:57,060 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:17:57,060 - mmseg - INFO - Iter [19000/38400] lr: 2.541e-03, eta: 0:22:37, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0901, decode.loss_grad: 0.0000, loss: 0.0901, grad_norm: 0.0247 2024-01-03 17:18:00,483 - mmseg - INFO - Iter [19050/38400] lr: 2.531e-03, eta: 0:22:34, time: 0.068, data_time: 0.002, memory: 940, decode.loss_depth: 0.0902, decode.loss_grad: 0.0000, loss: 0.0902, grad_norm: 0.0253 2024-01-03 17:18:03,793 - mmseg - INFO - Iter [19100/38400] lr: 2.521e-03, eta: 0:22:30, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0912, decode.loss_grad: 0.0000, loss: 0.0912, grad_norm: 0.0254 2024-01-03 17:18:07,095 - mmseg - INFO - Iter [19150/38400] lr: 2.510e-03, eta: 0:22:26, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0898, decode.loss_grad: 0.0000, loss: 0.0898, grad_norm: 0.0255 2024-01-03 17:18:10,431 - mmseg - INFO - Saving checkpoint at 19200 iterations 2024-01-03 17:18:10,444 - mmseg - INFO - Iter [19200/38400] lr: 2.500e-03, eta: 0:22:23, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.0917, decode.loss_grad: 0.0000, loss: 0.0917, grad_norm: 0.0262 2024-01-03 17:18:17,060 - mmseg - INFO - Summary: 2024-01-03 17:18:17,060 - mmseg - INFO - +--------+--------+-------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+-------+---------+--------+--------+----------+---------+--------+ | 0.8648 | 0.9856 | 0.998 | 0.1273 | 0.4059 | 0.0517 | 0.1475 | 10.9864 | 0.0701 | +--------+--------+-------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:18:17,060 - mmseg - INFO - Iter(val) [82] a1: 0.8648, a2: 0.9856, a3: 0.9980, abs_rel: 0.1272723525762558, rmse: 0.40593400597572327, log_10: 0.051699429750442505, rmse_log: 0.14753392338752747, silog: 10.9864, sq_rel: 0.07006946951150894 2024-01-03 17:18:20,357 - mmseg - INFO - Iter [19250/38400] lr: 2.490e-03, eta: 0:22:26, time: 0.198, data_time: 0.134, memory: 940, decode.loss_depth: 0.0890, decode.loss_grad: 0.0000, loss: 0.0890, grad_norm: 0.0266 2024-01-03 17:18:23,656 - mmseg - INFO - Iter [19300/38400] lr: 2.480e-03, eta: 0:22:22, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0914, decode.loss_grad: 0.0000, loss: 0.0914, grad_norm: 0.0256 2024-01-03 17:18:26,961 - mmseg - INFO - Iter [19350/38400] lr: 2.470e-03, eta: 0:22:18, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0902, decode.loss_grad: 0.0000, loss: 0.0902, grad_norm: 0.0251 2024-01-03 17:18:30,252 - mmseg - INFO - Iter [19400/38400] lr: 2.459e-03, eta: 0:22:14, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0905, decode.loss_grad: 0.0000, loss: 0.0905, grad_norm: 0.0252 2024-01-03 17:18:33,543 - mmseg - INFO - Iter [19450/38400] lr: 2.449e-03, eta: 0:22:11, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0916, decode.loss_grad: 0.0000, loss: 0.0916, grad_norm: 0.0260 2024-01-03 17:18:36,825 - mmseg - INFO - Iter [19500/38400] lr: 2.439e-03, eta: 0:22:07, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0886, decode.loss_grad: 0.0000, loss: 0.0886, grad_norm: 0.0239 2024-01-03 17:18:40,131 - mmseg - INFO - Iter [19550/38400] lr: 2.429e-03, eta: 0:22:03, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0899, decode.loss_grad: 0.0000, loss: 0.0899, grad_norm: 0.0249 2024-01-03 17:18:43,544 - mmseg - INFO - Iter [19600/38400] lr: 2.418e-03, eta: 0:22:00, time: 0.068, data_time: 0.002, memory: 940, decode.loss_depth: 0.0887, decode.loss_grad: 0.0000, loss: 0.0887, grad_norm: 0.0253 2024-01-03 17:18:46,839 - mmseg - INFO - Iter [19650/38400] lr: 2.408e-03, eta: 0:21:56, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0895, decode.loss_grad: 0.0000, loss: 0.0895, grad_norm: 0.0243 2024-01-03 17:18:52,223 - mmseg - INFO - Iter [19700/38400] lr: 2.398e-03, eta: 0:21:54, time: 0.108, data_time: 0.044, memory: 940, decode.loss_depth: 0.0906, decode.loss_grad: 0.0000, loss: 0.0906, grad_norm: 0.0270 2024-01-03 17:18:55,657 - mmseg - INFO - Iter [19750/38400] lr: 2.388e-03, eta: 0:21:51, time: 0.069, data_time: 0.002, memory: 940, decode.loss_depth: 0.0898, decode.loss_grad: 0.0000, loss: 0.0898, grad_norm: 0.0243 2024-01-03 17:18:58,948 - mmseg - INFO - Iter [19800/38400] lr: 2.378e-03, eta: 0:21:47, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0910, decode.loss_grad: 0.0000, loss: 0.0910, grad_norm: 0.0266 2024-01-03 17:19:02,233 - mmseg - INFO - Iter [19850/38400] lr: 2.367e-03, eta: 0:21:43, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0887, decode.loss_grad: 0.0000, loss: 0.0887, grad_norm: 0.0252 2024-01-03 17:19:05,544 - mmseg - INFO - Iter [19900/38400] lr: 2.357e-03, eta: 0:21:39, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0927, decode.loss_grad: 0.0000, loss: 0.0927, grad_norm: 0.0262 2024-01-03 17:19:08,829 - mmseg - INFO - Iter [19950/38400] lr: 2.347e-03, eta: 0:21:36, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0894, decode.loss_grad: 0.0000, loss: 0.0894, grad_norm: 0.0247 2024-01-03 17:19:12,136 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:19:12,136 - mmseg - INFO - Iter [20000/38400] lr: 2.337e-03, eta: 0:21:32, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0898, decode.loss_grad: 0.0000, loss: 0.0898, grad_norm: 0.0242 2024-01-03 17:19:15,634 - mmseg - INFO - Iter [20050/38400] lr: 2.326e-03, eta: 0:21:28, time: 0.070, data_time: 0.002, memory: 940, decode.loss_depth: 0.0873, decode.loss_grad: 0.0000, loss: 0.0873, grad_norm: 0.0262 2024-01-03 17:19:18,932 - mmseg - INFO - Iter [20100/38400] lr: 2.316e-03, eta: 0:21:25, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0875, decode.loss_grad: 0.0000, loss: 0.0875, grad_norm: 0.0237 2024-01-03 17:19:22,235 - mmseg - INFO - Iter [20150/38400] lr: 2.306e-03, eta: 0:21:21, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0891, decode.loss_grad: 0.0000, loss: 0.0891, grad_norm: 0.0256 2024-01-03 17:19:25,521 - mmseg - INFO - Iter [20200/38400] lr: 2.296e-03, eta: 0:21:17, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0883, decode.loss_grad: 0.0000, loss: 0.0883, grad_norm: 0.0248 2024-01-03 17:19:28,822 - mmseg - INFO - Iter [20250/38400] lr: 2.286e-03, eta: 0:21:14, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0854, decode.loss_grad: 0.0000, loss: 0.0854, grad_norm: 0.0244 2024-01-03 17:19:32,118 - mmseg - INFO - Iter [20300/38400] lr: 2.276e-03, eta: 0:21:10, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0898, decode.loss_grad: 0.0000, loss: 0.0898, grad_norm: 0.0256 2024-01-03 17:19:35,491 - mmseg - INFO - Iter [20350/38400] lr: 2.265e-03, eta: 0:21:06, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.0878, decode.loss_grad: 0.0000, loss: 0.0878, grad_norm: 0.0249 2024-01-03 17:19:38,781 - mmseg - INFO - Iter [20400/38400] lr: 2.255e-03, eta: 0:21:03, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0915, decode.loss_grad: 0.0000, loss: 0.0915, grad_norm: 0.0262 2024-01-03 17:19:42,084 - mmseg - INFO - Iter [20450/38400] lr: 2.245e-03, eta: 0:20:59, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0925, decode.loss_grad: 0.0000, loss: 0.0925, grad_norm: 0.0257 2024-01-03 17:19:45,381 - mmseg - INFO - Iter [20500/38400] lr: 2.235e-03, eta: 0:20:55, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0899, decode.loss_grad: 0.0000, loss: 0.0899, grad_norm: 0.0270 2024-01-03 17:19:48,698 - mmseg - INFO - Iter [20550/38400] lr: 2.225e-03, eta: 0:20:52, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0886, decode.loss_grad: 0.0000, loss: 0.0886, grad_norm: 0.0253 2024-01-03 17:19:52,020 - mmseg - INFO - Iter [20600/38400] lr: 2.214e-03, eta: 0:20:48, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0892, decode.loss_grad: 0.0000, loss: 0.0892, grad_norm: 0.0257 2024-01-03 17:19:55,312 - mmseg - INFO - Iter [20650/38400] lr: 2.204e-03, eta: 0:20:44, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0880, decode.loss_grad: 0.0000, loss: 0.0880, grad_norm: 0.0259 2024-01-03 17:19:58,607 - mmseg - INFO - Iter [20700/38400] lr: 2.194e-03, eta: 0:20:41, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0878, decode.loss_grad: 0.0000, loss: 0.0878, grad_norm: 0.0248 2024-01-03 17:20:01,912 - mmseg - INFO - Iter [20750/38400] lr: 2.184e-03, eta: 0:20:37, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0880, decode.loss_grad: 0.0000, loss: 0.0880, grad_norm: 0.0251 2024-01-03 17:20:05,197 - mmseg - INFO - Saving checkpoint at 20800 iterations 2024-01-03 17:20:05,209 - mmseg - INFO - Iter [20800/38400] lr: 2.174e-03, eta: 0:20:33, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0889, decode.loss_grad: 0.0000, loss: 0.0889, grad_norm: 0.0252 2024-01-03 17:20:08,597 - mmseg - INFO - Iter [20850/38400] lr: 2.164e-03, eta: 0:20:30, time: 0.068, data_time: 0.002, memory: 940, decode.loss_depth: 0.0887, decode.loss_grad: 0.0000, loss: 0.0887, grad_norm: 0.0255 2024-01-03 17:20:11,896 - mmseg - INFO - Iter [20900/38400] lr: 2.154e-03, eta: 0:20:26, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0868, decode.loss_grad: 0.0000, loss: 0.0868, grad_norm: 0.0249 2024-01-03 17:20:15,191 - mmseg - INFO - Iter [20950/38400] lr: 2.143e-03, eta: 0:20:22, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0882, decode.loss_grad: 0.0000, loss: 0.0882, grad_norm: 0.0258 2024-01-03 17:20:18,483 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:20:18,483 - mmseg - INFO - Iter [21000/38400] lr: 2.133e-03, eta: 0:20:19, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0866, decode.loss_grad: 0.0000, loss: 0.0866, grad_norm: 0.0243 2024-01-03 17:20:21,781 - mmseg - INFO - Iter [21050/38400] lr: 2.123e-03, eta: 0:20:15, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0881, decode.loss_grad: 0.0000, loss: 0.0881, grad_norm: 0.0249 2024-01-03 17:20:25,108 - mmseg - INFO - Iter [21100/38400] lr: 2.113e-03, eta: 0:20:11, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.0901, decode.loss_grad: 0.0000, loss: 0.0901, grad_norm: 0.0270 2024-01-03 17:20:28,436 - mmseg - INFO - Iter [21150/38400] lr: 2.103e-03, eta: 0:20:08, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.0872, decode.loss_grad: 0.0000, loss: 0.0872, grad_norm: 0.0257 2024-01-03 17:20:33,890 - mmseg - INFO - Iter [21200/38400] lr: 2.093e-03, eta: 0:20:06, time: 0.109, data_time: 0.043, memory: 940, decode.loss_depth: 0.0862, decode.loss_grad: 0.0000, loss: 0.0862, grad_norm: 0.0237 2024-01-03 17:20:37,182 - mmseg - INFO - Iter [21250/38400] lr: 2.083e-03, eta: 0:20:02, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0871, decode.loss_grad: 0.0000, loss: 0.0871, grad_norm: 0.0252 2024-01-03 17:20:40,497 - mmseg - INFO - Iter [21300/38400] lr: 2.073e-03, eta: 0:19:58, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0883, decode.loss_grad: 0.0000, loss: 0.0883, grad_norm: 0.0256 2024-01-03 17:20:43,780 - mmseg - INFO - Iter [21350/38400] lr: 2.063e-03, eta: 0:19:55, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0861, decode.loss_grad: 0.0000, loss: 0.0861, grad_norm: 0.0241 2024-01-03 17:20:47,090 - mmseg - INFO - Iter [21400/38400] lr: 2.053e-03, eta: 0:19:51, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0866, decode.loss_grad: 0.0000, loss: 0.0866, grad_norm: 0.0259 2024-01-03 17:20:50,399 - mmseg - INFO - Iter [21450/38400] lr: 2.043e-03, eta: 0:19:47, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0882, decode.loss_grad: 0.0000, loss: 0.0882, grad_norm: 0.0255 2024-01-03 17:20:53,700 - mmseg - INFO - Iter [21500/38400] lr: 2.033e-03, eta: 0:19:44, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0883, decode.loss_grad: 0.0000, loss: 0.0883, grad_norm: 0.0261 2024-01-03 17:20:57,007 - mmseg - INFO - Iter [21550/38400] lr: 2.023e-03, eta: 0:19:40, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0855, decode.loss_grad: 0.0000, loss: 0.0855, grad_norm: 0.0246 2024-01-03 17:21:00,298 - mmseg - INFO - Iter [21600/38400] lr: 2.012e-03, eta: 0:19:36, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0861, decode.loss_grad: 0.0000, loss: 0.0861, grad_norm: 0.0248 2024-01-03 17:21:03,651 - mmseg - INFO - Iter [21650/38400] lr: 2.002e-03, eta: 0:19:33, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.0873, decode.loss_grad: 0.0000, loss: 0.0873, grad_norm: 0.0240 2024-01-03 17:21:06,944 - mmseg - INFO - Iter [21700/38400] lr: 1.992e-03, eta: 0:19:29, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0868, decode.loss_grad: 0.0000, loss: 0.0868, grad_norm: 0.0244 2024-01-03 17:21:10,247 - mmseg - INFO - Iter [21750/38400] lr: 1.982e-03, eta: 0:19:25, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0853, decode.loss_grad: 0.0000, loss: 0.0853, grad_norm: 0.0243 2024-01-03 17:21:13,566 - mmseg - INFO - Iter [21800/38400] lr: 1.972e-03, eta: 0:19:22, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0854, decode.loss_grad: 0.0000, loss: 0.0854, grad_norm: 0.0245 2024-01-03 17:21:16,847 - mmseg - INFO - Iter [21850/38400] lr: 1.962e-03, eta: 0:19:18, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0838, decode.loss_grad: 0.0000, loss: 0.0838, grad_norm: 0.0248 2024-01-03 17:21:20,142 - mmseg - INFO - Iter [21900/38400] lr: 1.952e-03, eta: 0:19:14, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0896, decode.loss_grad: 0.0000, loss: 0.0896, grad_norm: 0.0243 2024-01-03 17:21:23,440 - mmseg - INFO - Iter [21950/38400] lr: 1.942e-03, eta: 0:19:11, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0868, decode.loss_grad: 0.0000, loss: 0.0868, grad_norm: 0.0244 2024-01-03 17:21:26,723 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:21:26,723 - mmseg - INFO - Iter [22000/38400] lr: 1.933e-03, eta: 0:19:07, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0866, decode.loss_grad: 0.0000, loss: 0.0866, grad_norm: 0.0249 2024-01-03 17:21:30,013 - mmseg - INFO - Iter [22050/38400] lr: 1.923e-03, eta: 0:19:03, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0857, decode.loss_grad: 0.0000, loss: 0.0857, grad_norm: 0.0245 2024-01-03 17:21:33,325 - mmseg - INFO - Iter [22100/38400] lr: 1.913e-03, eta: 0:19:00, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0881, decode.loss_grad: 0.0000, loss: 0.0881, grad_norm: 0.0272 2024-01-03 17:21:36,660 - mmseg - INFO - Iter [22150/38400] lr: 1.903e-03, eta: 0:18:56, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.0869, decode.loss_grad: 0.0000, loss: 0.0869, grad_norm: 0.0256 2024-01-03 17:21:39,957 - mmseg - INFO - Iter [22200/38400] lr: 1.893e-03, eta: 0:18:53, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0866, decode.loss_grad: 0.0000, loss: 0.0866, grad_norm: 0.0248 2024-01-03 17:21:43,243 - mmseg - INFO - Iter [22250/38400] lr: 1.883e-03, eta: 0:18:49, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0865, decode.loss_grad: 0.0000, loss: 0.0865, grad_norm: 0.0259 2024-01-03 17:21:46,539 - mmseg - INFO - Iter [22300/38400] lr: 1.873e-03, eta: 0:18:45, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0885, decode.loss_grad: 0.0000, loss: 0.0885, grad_norm: 0.0259 2024-01-03 17:21:49,832 - mmseg - INFO - Iter [22350/38400] lr: 1.863e-03, eta: 0:18:42, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0883, decode.loss_grad: 0.0000, loss: 0.0883, grad_norm: 0.0247 2024-01-03 17:21:53,121 - mmseg - INFO - Saving checkpoint at 22400 iterations 2024-01-03 17:21:53,137 - mmseg - INFO - Iter [22400/38400] lr: 1.853e-03, eta: 0:18:38, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0877, decode.loss_grad: 0.0000, loss: 0.0877, grad_norm: 0.0243 2024-01-03 17:21:59,681 - mmseg - INFO - Summary: 2024-01-03 17:21:59,681 - mmseg - INFO - +--------+--------+--------+---------+-------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+-------+--------+----------+---------+--------+ | 0.8747 | 0.9869 | 0.9983 | 0.1201 | 0.396 | 0.0496 | 0.1434 | 11.0796 | 0.0639 | +--------+--------+--------+---------+-------+--------+----------+---------+--------+ 2024-01-03 17:21:59,681 - mmseg - INFO - Iter(val) [82] a1: 0.8747, a2: 0.9869, a3: 0.9983, abs_rel: 0.12011238187551498, rmse: 0.39598336815834045, log_10: 0.04958483576774597, rmse_log: 0.14341150224208832, silog: 11.0796, sq_rel: 0.06392884254455566 2024-01-03 17:22:02,975 - mmseg - INFO - Iter [22450/38400] lr: 1.843e-03, eta: 0:18:39, time: 0.197, data_time: 0.133, memory: 940, decode.loss_depth: 0.0871, decode.loss_grad: 0.0000, loss: 0.0871, grad_norm: 0.0253 2024-01-03 17:22:06,355 - mmseg - INFO - Iter [22500/38400] lr: 1.833e-03, eta: 0:18:35, time: 0.068, data_time: 0.002, memory: 940, decode.loss_depth: 0.0877, decode.loss_grad: 0.0000, loss: 0.0877, grad_norm: 0.0261 2024-01-03 17:22:09,655 - mmseg - INFO - Iter [22550/38400] lr: 1.824e-03, eta: 0:18:32, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0854, decode.loss_grad: 0.0000, loss: 0.0854, grad_norm: 0.0252 2024-01-03 17:22:12,948 - mmseg - INFO - Iter [22600/38400] lr: 1.814e-03, eta: 0:18:28, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0862, decode.loss_grad: 0.0000, loss: 0.0862, grad_norm: 0.0247 2024-01-03 17:22:16,261 - mmseg - INFO - Iter [22650/38400] lr: 1.804e-03, eta: 0:18:24, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0865, decode.loss_grad: 0.0000, loss: 0.0865, grad_norm: 0.0253 2024-01-03 17:22:19,563 - mmseg - INFO - Iter [22700/38400] lr: 1.794e-03, eta: 0:18:21, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0874, decode.loss_grad: 0.0000, loss: 0.0874, grad_norm: 0.0252 2024-01-03 17:22:24,945 - mmseg - INFO - Iter [22750/38400] lr: 1.784e-03, eta: 0:18:19, time: 0.108, data_time: 0.043, memory: 940, decode.loss_depth: 0.0849, decode.loss_grad: 0.0000, loss: 0.0849, grad_norm: 0.0254 2024-01-03 17:22:28,285 - mmseg - INFO - Iter [22800/38400] lr: 1.774e-03, eta: 0:18:15, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.0867, decode.loss_grad: 0.0000, loss: 0.0867, grad_norm: 0.0249 2024-01-03 17:22:31,595 - mmseg - INFO - Iter [22850/38400] lr: 1.765e-03, eta: 0:18:11, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0851, decode.loss_grad: 0.0000, loss: 0.0851, grad_norm: 0.0238 2024-01-03 17:22:34,888 - mmseg - INFO - Iter [22900/38400] lr: 1.755e-03, eta: 0:18:08, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0859, decode.loss_grad: 0.0000, loss: 0.0859, grad_norm: 0.0246 2024-01-03 17:22:38,267 - mmseg - INFO - Iter [22950/38400] lr: 1.745e-03, eta: 0:18:04, time: 0.068, data_time: 0.002, memory: 940, decode.loss_depth: 0.0838, decode.loss_grad: 0.0000, loss: 0.0838, grad_norm: 0.0241 2024-01-03 17:22:41,558 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:22:41,558 - mmseg - INFO - Iter [23000/38400] lr: 1.735e-03, eta: 0:18:00, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0851, decode.loss_grad: 0.0000, loss: 0.0851, grad_norm: 0.0249 2024-01-03 17:22:44,839 - mmseg - INFO - Iter [23050/38400] lr: 1.726e-03, eta: 0:17:57, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0867, decode.loss_grad: 0.0000, loss: 0.0867, grad_norm: 0.0248 2024-01-03 17:22:48,129 - mmseg - INFO - Iter [23100/38400] lr: 1.716e-03, eta: 0:17:53, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0875, decode.loss_grad: 0.0000, loss: 0.0875, grad_norm: 0.0245 2024-01-03 17:22:51,416 - mmseg - INFO - Iter [23150/38400] lr: 1.706e-03, eta: 0:17:49, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0835, decode.loss_grad: 0.0000, loss: 0.0835, grad_norm: 0.0242 2024-01-03 17:22:54,712 - mmseg - INFO - Iter [23200/38400] lr: 1.697e-03, eta: 0:17:46, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0857, decode.loss_grad: 0.0000, loss: 0.0857, grad_norm: 0.0242 2024-01-03 17:22:58,024 - mmseg - INFO - Iter [23250/38400] lr: 1.687e-03, eta: 0:17:42, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0862, decode.loss_grad: 0.0000, loss: 0.0862, grad_norm: 0.0248 2024-01-03 17:23:01,482 - mmseg - INFO - Iter [23300/38400] lr: 1.677e-03, eta: 0:17:39, time: 0.069, data_time: 0.002, memory: 940, decode.loss_depth: 0.0861, decode.loss_grad: 0.0000, loss: 0.0861, grad_norm: 0.0242 2024-01-03 17:23:04,771 - mmseg - INFO - Iter [23350/38400] lr: 1.668e-03, eta: 0:17:35, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0864, decode.loss_grad: 0.0000, loss: 0.0864, grad_norm: 0.0253 2024-01-03 17:23:08,046 - mmseg - INFO - Iter [23400/38400] lr: 1.658e-03, eta: 0:17:31, time: 0.065, data_time: 0.002, memory: 940, decode.loss_depth: 0.0841, decode.loss_grad: 0.0000, loss: 0.0841, grad_norm: 0.0248 2024-01-03 17:23:11,428 - mmseg - INFO - Iter [23450/38400] lr: 1.648e-03, eta: 0:17:28, time: 0.068, data_time: 0.002, memory: 940, decode.loss_depth: 0.0844, decode.loss_grad: 0.0000, loss: 0.0844, grad_norm: 0.0240 2024-01-03 17:23:14,719 - mmseg - INFO - Iter [23500/38400] lr: 1.639e-03, eta: 0:17:24, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0858, decode.loss_grad: 0.0000, loss: 0.0858, grad_norm: 0.0247 2024-01-03 17:23:18,004 - mmseg - INFO - Iter [23550/38400] lr: 1.629e-03, eta: 0:17:20, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0826, decode.loss_grad: 0.0000, loss: 0.0826, grad_norm: 0.0240 2024-01-03 17:23:21,320 - mmseg - INFO - Iter [23600/38400] lr: 1.620e-03, eta: 0:17:17, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0854, decode.loss_grad: 0.0000, loss: 0.0854, grad_norm: 0.0253 2024-01-03 17:23:24,608 - mmseg - INFO - Iter [23650/38400] lr: 1.610e-03, eta: 0:17:13, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0854, decode.loss_grad: 0.0000, loss: 0.0854, grad_norm: 0.0243 2024-01-03 17:23:27,902 - mmseg - INFO - Iter [23700/38400] lr: 1.600e-03, eta: 0:17:10, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0865, decode.loss_grad: 0.0000, loss: 0.0865, grad_norm: 0.0266 2024-01-03 17:23:31,187 - mmseg - INFO - Iter [23750/38400] lr: 1.591e-03, eta: 0:17:06, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0861, decode.loss_grad: 0.0000, loss: 0.0861, grad_norm: 0.0260 2024-01-03 17:23:34,483 - mmseg - INFO - Iter [23800/38400] lr: 1.581e-03, eta: 0:17:02, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0851, decode.loss_grad: 0.0000, loss: 0.0851, grad_norm: 0.0248 2024-01-03 17:23:37,776 - mmseg - INFO - Iter [23850/38400] lr: 1.572e-03, eta: 0:16:59, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0859, decode.loss_grad: 0.0000, loss: 0.0859, grad_norm: 0.0263 2024-01-03 17:23:41,086 - mmseg - INFO - Iter [23900/38400] lr: 1.562e-03, eta: 0:16:55, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0857, decode.loss_grad: 0.0000, loss: 0.0857, grad_norm: 0.0248 2024-01-03 17:23:44,602 - mmseg - INFO - Iter [23950/38400] lr: 1.553e-03, eta: 0:16:51, time: 0.070, data_time: 0.002, memory: 940, decode.loss_depth: 0.0846, decode.loss_grad: 0.0000, loss: 0.0846, grad_norm: 0.0251 2024-01-03 17:23:47,878 - mmseg - INFO - Saving checkpoint at 24000 iterations 2024-01-03 17:23:47,889 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:23:47,889 - mmseg - INFO - Iter [24000/38400] lr: 1.543e-03, eta: 0:16:48, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0866, decode.loss_grad: 0.0000, loss: 0.0866, grad_norm: 0.0256 2024-01-03 17:23:51,193 - mmseg - INFO - Iter [24050/38400] lr: 1.534e-03, eta: 0:16:44, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0845, decode.loss_grad: 0.0000, loss: 0.0845, grad_norm: 0.0236 2024-01-03 17:23:54,482 - mmseg - INFO - Iter [24100/38400] lr: 1.525e-03, eta: 0:16:41, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0851, decode.loss_grad: 0.0000, loss: 0.0851, grad_norm: 0.0247 2024-01-03 17:23:57,784 - mmseg - INFO - Iter [24150/38400] lr: 1.515e-03, eta: 0:16:37, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0858, decode.loss_grad: 0.0000, loss: 0.0858, grad_norm: 0.0245 2024-01-03 17:24:01,065 - mmseg - INFO - Iter [24200/38400] lr: 1.506e-03, eta: 0:16:33, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0846, decode.loss_grad: 0.0000, loss: 0.0846, grad_norm: 0.0259 2024-01-03 17:24:06,449 - mmseg - INFO - Iter [24250/38400] lr: 1.496e-03, eta: 0:16:31, time: 0.108, data_time: 0.044, memory: 940, decode.loss_depth: 0.0839, decode.loss_grad: 0.0000, loss: 0.0839, grad_norm: 0.0248 2024-01-03 17:24:09,750 - mmseg - INFO - Iter [24300/38400] lr: 1.487e-03, eta: 0:16:27, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0847, decode.loss_grad: 0.0000, loss: 0.0847, grad_norm: 0.0248 2024-01-03 17:24:13,046 - mmseg - INFO - Iter [24350/38400] lr: 1.478e-03, eta: 0:16:24, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0856, decode.loss_grad: 0.0000, loss: 0.0856, grad_norm: 0.0255 2024-01-03 17:24:16,325 - mmseg - INFO - Iter [24400/38400] lr: 1.468e-03, eta: 0:16:20, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0834, decode.loss_grad: 0.0000, loss: 0.0834, grad_norm: 0.0236 2024-01-03 17:24:19,625 - mmseg - INFO - Iter [24450/38400] lr: 1.459e-03, eta: 0:16:16, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0860, decode.loss_grad: 0.0000, loss: 0.0860, grad_norm: 0.0255 2024-01-03 17:24:22,902 - mmseg - INFO - Iter [24500/38400] lr: 1.450e-03, eta: 0:16:13, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0848, decode.loss_grad: 0.0000, loss: 0.0848, grad_norm: 0.0243 2024-01-03 17:24:26,251 - mmseg - INFO - Iter [24550/38400] lr: 1.441e-03, eta: 0:16:09, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.0840, decode.loss_grad: 0.0000, loss: 0.0840, grad_norm: 0.0245 2024-01-03 17:24:29,555 - mmseg - INFO - Iter [24600/38400] lr: 1.431e-03, eta: 0:16:06, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0843, decode.loss_grad: 0.0000, loss: 0.0843, grad_norm: 0.0250 2024-01-03 17:24:32,836 - mmseg - INFO - Iter [24650/38400] lr: 1.422e-03, eta: 0:16:02, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0842, decode.loss_grad: 0.0000, loss: 0.0842, grad_norm: 0.0241 2024-01-03 17:24:36,229 - mmseg - INFO - Iter [24700/38400] lr: 1.413e-03, eta: 0:15:58, time: 0.068, data_time: 0.002, memory: 940, decode.loss_depth: 0.0823, decode.loss_grad: 0.0000, loss: 0.0823, grad_norm: 0.0231 2024-01-03 17:24:39,523 - mmseg - INFO - Iter [24750/38400] lr: 1.404e-03, eta: 0:15:55, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0864, decode.loss_grad: 0.0000, loss: 0.0864, grad_norm: 0.0254 2024-01-03 17:24:42,800 - mmseg - INFO - Iter [24800/38400] lr: 1.394e-03, eta: 0:15:51, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0835, decode.loss_grad: 0.0000, loss: 0.0835, grad_norm: 0.0243 2024-01-03 17:24:46,146 - mmseg - INFO - Iter [24850/38400] lr: 1.385e-03, eta: 0:15:48, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.0854, decode.loss_grad: 0.0000, loss: 0.0854, grad_norm: 0.0237 2024-01-03 17:24:49,443 - mmseg - INFO - Iter [24900/38400] lr: 1.376e-03, eta: 0:15:44, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0838, decode.loss_grad: 0.0000, loss: 0.0838, grad_norm: 0.0241 2024-01-03 17:24:52,747 - mmseg - INFO - Iter [24950/38400] lr: 1.367e-03, eta: 0:15:40, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0835, decode.loss_grad: 0.0000, loss: 0.0835, grad_norm: 0.0249 2024-01-03 17:24:56,042 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:24:56,042 - mmseg - INFO - Iter [25000/38400] lr: 1.358e-03, eta: 0:15:37, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0856, decode.loss_grad: 0.0000, loss: 0.0856, grad_norm: 0.0266 2024-01-03 17:24:59,346 - mmseg - INFO - Iter [25050/38400] lr: 1.349e-03, eta: 0:15:33, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0821, decode.loss_grad: 0.0000, loss: 0.0821, grad_norm: 0.0234 2024-01-03 17:25:02,637 - mmseg - INFO - Iter [25100/38400] lr: 1.340e-03, eta: 0:15:30, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0827, decode.loss_grad: 0.0000, loss: 0.0827, grad_norm: 0.0245 2024-01-03 17:25:05,921 - mmseg - INFO - Iter [25150/38400] lr: 1.331e-03, eta: 0:15:26, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0833, decode.loss_grad: 0.0000, loss: 0.0833, grad_norm: 0.0240 2024-01-03 17:25:09,196 - mmseg - INFO - Iter [25200/38400] lr: 1.322e-03, eta: 0:15:22, time: 0.065, data_time: 0.002, memory: 940, decode.loss_depth: 0.0841, decode.loss_grad: 0.0000, loss: 0.0841, grad_norm: 0.0242 2024-01-03 17:25:12,506 - mmseg - INFO - Iter [25250/38400] lr: 1.313e-03, eta: 0:15:19, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0821, decode.loss_grad: 0.0000, loss: 0.0821, grad_norm: 0.0240 2024-01-03 17:25:15,788 - mmseg - INFO - Iter [25300/38400] lr: 1.304e-03, eta: 0:15:15, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0835, decode.loss_grad: 0.0000, loss: 0.0835, grad_norm: 0.0242 2024-01-03 17:25:19,088 - mmseg - INFO - Iter [25350/38400] lr: 1.295e-03, eta: 0:15:12, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0805, decode.loss_grad: 0.0000, loss: 0.0805, grad_norm: 0.0244 2024-01-03 17:25:22,387 - mmseg - INFO - Iter [25400/38400] lr: 1.286e-03, eta: 0:15:08, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0819, decode.loss_grad: 0.0000, loss: 0.0819, grad_norm: 0.0231 2024-01-03 17:25:25,678 - mmseg - INFO - Iter [25450/38400] lr: 1.277e-03, eta: 0:15:04, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0851, decode.loss_grad: 0.0000, loss: 0.0851, grad_norm: 0.0268 2024-01-03 17:25:28,978 - mmseg - INFO - Iter [25500/38400] lr: 1.268e-03, eta: 0:15:01, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0830, decode.loss_grad: 0.0000, loss: 0.0830, grad_norm: 0.0244 2024-01-03 17:25:32,282 - mmseg - INFO - Iter [25550/38400] lr: 1.259e-03, eta: 0:14:57, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0842, decode.loss_grad: 0.0000, loss: 0.0842, grad_norm: 0.0255 2024-01-03 17:25:35,573 - mmseg - INFO - Saving checkpoint at 25600 iterations 2024-01-03 17:25:35,585 - mmseg - INFO - Iter [25600/38400] lr: 1.250e-03, eta: 0:14:54, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0850, decode.loss_grad: 0.0000, loss: 0.0850, grad_norm: 0.0254 2024-01-03 17:25:42,185 - mmseg - INFO - Summary: 2024-01-03 17:25:42,185 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.8761 | 0.9865 | 0.9983 | 0.12 | 0.3938 | 0.0493 | 0.1424 | 11.0093 | 0.064 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:25:42,185 - mmseg - INFO - Iter(val) [82] a1: 0.8761, a2: 0.9865, a3: 0.9983, abs_rel: 0.12004180252552032, rmse: 0.3938264548778534, log_10: 0.04925258830189705, rmse_log: 0.14244507253170013, silog: 11.0093, sq_rel: 0.06395576894283295 2024-01-03 17:25:45,473 - mmseg - INFO - Iter [25650/38400] lr: 1.241e-03, eta: 0:14:53, time: 0.198, data_time: 0.134, memory: 940, decode.loss_depth: 0.0843, decode.loss_grad: 0.0000, loss: 0.0843, grad_norm: 0.0253 2024-01-03 17:25:48,754 - mmseg - INFO - Iter [25700/38400] lr: 1.233e-03, eta: 0:14:50, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0847, decode.loss_grad: 0.0000, loss: 0.0847, grad_norm: 0.0254 2024-01-03 17:25:54,187 - mmseg - INFO - Iter [25750/38400] lr: 1.224e-03, eta: 0:14:47, time: 0.109, data_time: 0.044, memory: 940, decode.loss_depth: 0.0834, decode.loss_grad: 0.0000, loss: 0.0834, grad_norm: 0.0250 2024-01-03 17:25:57,474 - mmseg - INFO - Iter [25800/38400] lr: 1.215e-03, eta: 0:14:44, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0828, decode.loss_grad: 0.0000, loss: 0.0828, grad_norm: 0.0235 2024-01-03 17:26:00,771 - mmseg - INFO - Iter [25850/38400] lr: 1.206e-03, eta: 0:14:40, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0811, decode.loss_grad: 0.0000, loss: 0.0811, grad_norm: 0.0244 2024-01-03 17:26:04,067 - mmseg - INFO - Iter [25900/38400] lr: 1.197e-03, eta: 0:14:36, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0826, decode.loss_grad: 0.0000, loss: 0.0826, grad_norm: 0.0230 2024-01-03 17:26:07,363 - mmseg - INFO - Iter [25950/38400] lr: 1.189e-03, eta: 0:14:33, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0824, decode.loss_grad: 0.0000, loss: 0.0824, grad_norm: 0.0239 2024-01-03 17:26:10,661 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:26:10,661 - mmseg - INFO - Iter [26000/38400] lr: 1.180e-03, eta: 0:14:29, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0833, decode.loss_grad: 0.0000, loss: 0.0833, grad_norm: 0.0244 2024-01-03 17:26:13,961 - mmseg - INFO - Iter [26050/38400] lr: 1.171e-03, eta: 0:14:26, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0831, decode.loss_grad: 0.0000, loss: 0.0831, grad_norm: 0.0241 2024-01-03 17:26:17,255 - mmseg - INFO - Iter [26100/38400] lr: 1.163e-03, eta: 0:14:22, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0819, decode.loss_grad: 0.0000, loss: 0.0819, grad_norm: 0.0249 2024-01-03 17:26:20,548 - mmseg - INFO - Iter [26150/38400] lr: 1.154e-03, eta: 0:14:18, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0829, decode.loss_grad: 0.0000, loss: 0.0829, grad_norm: 0.0244 2024-01-03 17:26:23,869 - mmseg - INFO - Iter [26200/38400] lr: 1.145e-03, eta: 0:14:15, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0834, decode.loss_grad: 0.0000, loss: 0.0834, grad_norm: 0.0238 2024-01-03 17:26:27,161 - mmseg - INFO - Iter [26250/38400] lr: 1.137e-03, eta: 0:14:11, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0822, decode.loss_grad: 0.0000, loss: 0.0822, grad_norm: 0.0236 2024-01-03 17:26:30,461 - mmseg - INFO - Iter [26300/38400] lr: 1.128e-03, eta: 0:14:08, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0829, decode.loss_grad: 0.0000, loss: 0.0829, grad_norm: 0.0240 2024-01-03 17:26:33,787 - mmseg - INFO - Iter [26350/38400] lr: 1.120e-03, eta: 0:14:04, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.0810, decode.loss_grad: 0.0000, loss: 0.0810, grad_norm: 0.0241 2024-01-03 17:26:37,083 - mmseg - INFO - Iter [26400/38400] lr: 1.111e-03, eta: 0:14:00, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0832, decode.loss_grad: 0.0000, loss: 0.0832, grad_norm: 0.0251 2024-01-03 17:26:40,385 - mmseg - INFO - Iter [26450/38400] lr: 1.103e-03, eta: 0:13:57, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0828, decode.loss_grad: 0.0000, loss: 0.0828, grad_norm: 0.0234 2024-01-03 17:26:43,748 - mmseg - INFO - Iter [26500/38400] lr: 1.094e-03, eta: 0:13:53, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.0833, decode.loss_grad: 0.0000, loss: 0.0833, grad_norm: 0.0235 2024-01-03 17:26:47,054 - mmseg - INFO - Iter [26550/38400] lr: 1.086e-03, eta: 0:13:50, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0822, decode.loss_grad: 0.0000, loss: 0.0822, grad_norm: 0.0254 2024-01-03 17:26:50,360 - mmseg - INFO - Iter [26600/38400] lr: 1.077e-03, eta: 0:13:46, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0823, decode.loss_grad: 0.0000, loss: 0.0823, grad_norm: 0.0238 2024-01-03 17:26:53,660 - mmseg - INFO - Iter [26650/38400] lr: 1.069e-03, eta: 0:13:42, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0827, decode.loss_grad: 0.0000, loss: 0.0827, grad_norm: 0.0233 2024-01-03 17:26:56,948 - mmseg - INFO - Iter [26700/38400] lr: 1.061e-03, eta: 0:13:39, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0810, decode.loss_grad: 0.0000, loss: 0.0810, grad_norm: 0.0233 2024-01-03 17:27:00,257 - mmseg - INFO - Iter [26750/38400] lr: 1.052e-03, eta: 0:13:35, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0828, decode.loss_grad: 0.0000, loss: 0.0828, grad_norm: 0.0236 2024-01-03 17:27:03,534 - mmseg - INFO - Iter [26800/38400] lr: 1.044e-03, eta: 0:13:32, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0822, decode.loss_grad: 0.0000, loss: 0.0822, grad_norm: 0.0247 2024-01-03 17:27:06,848 - mmseg - INFO - Iter [26850/38400] lr: 1.036e-03, eta: 0:13:28, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0849, decode.loss_grad: 0.0000, loss: 0.0849, grad_norm: 0.0252 2024-01-03 17:27:10,138 - mmseg - INFO - Iter [26900/38400] lr: 1.027e-03, eta: 0:13:24, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0804, decode.loss_grad: 0.0000, loss: 0.0804, grad_norm: 0.0239 2024-01-03 17:27:13,436 - mmseg - INFO - Iter [26950/38400] lr: 1.019e-03, eta: 0:13:21, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0838, decode.loss_grad: 0.0000, loss: 0.0838, grad_norm: 0.0251 2024-01-03 17:27:16,915 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:27:16,916 - mmseg - INFO - Iter [27000/38400] lr: 1.011e-03, eta: 0:13:17, time: 0.070, data_time: 0.002, memory: 940, decode.loss_depth: 0.0822, decode.loss_grad: 0.0000, loss: 0.0822, grad_norm: 0.0240 2024-01-03 17:27:20,201 - mmseg - INFO - Iter [27050/38400] lr: 1.003e-03, eta: 0:13:14, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0818, decode.loss_grad: 0.0000, loss: 0.0818, grad_norm: 0.0239 2024-01-03 17:27:23,514 - mmseg - INFO - Iter [27100/38400] lr: 9.945e-04, eta: 0:13:10, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0831, decode.loss_grad: 0.0000, loss: 0.0831, grad_norm: 0.0249 2024-01-03 17:27:26,855 - mmseg - INFO - Iter [27150/38400] lr: 9.864e-04, eta: 0:13:07, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.0823, decode.loss_grad: 0.0000, loss: 0.0823, grad_norm: 0.0242 2024-01-03 17:27:30,159 - mmseg - INFO - Saving checkpoint at 27200 iterations 2024-01-03 17:27:30,171 - mmseg - INFO - Iter [27200/38400] lr: 9.783e-04, eta: 0:13:03, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0825, decode.loss_grad: 0.0000, loss: 0.0825, grad_norm: 0.0264 2024-01-03 17:27:33,472 - mmseg - INFO - Iter [27250/38400] lr: 9.702e-04, eta: 0:12:59, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0805, decode.loss_grad: 0.0000, loss: 0.0805, grad_norm: 0.0236 2024-01-03 17:27:38,854 - mmseg - INFO - Iter [27300/38400] lr: 9.621e-04, eta: 0:12:57, time: 0.108, data_time: 0.043, memory: 940, decode.loss_depth: 0.0820, decode.loss_grad: 0.0000, loss: 0.0820, grad_norm: 0.0237 2024-01-03 17:27:42,150 - mmseg - INFO - Iter [27350/38400] lr: 9.540e-04, eta: 0:12:53, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0818, decode.loss_grad: 0.0000, loss: 0.0818, grad_norm: 0.0235 2024-01-03 17:27:45,450 - mmseg - INFO - Iter [27400/38400] lr: 9.460e-04, eta: 0:12:50, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0810, decode.loss_grad: 0.0000, loss: 0.0810, grad_norm: 0.0243 2024-01-03 17:27:48,761 - mmseg - INFO - Iter [27450/38400] lr: 9.380e-04, eta: 0:12:46, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0820, decode.loss_grad: 0.0000, loss: 0.0820, grad_norm: 0.0234 2024-01-03 17:27:52,070 - mmseg - INFO - Iter [27500/38400] lr: 9.300e-04, eta: 0:12:42, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0816, decode.loss_grad: 0.0000, loss: 0.0816, grad_norm: 0.0234 2024-01-03 17:27:55,373 - mmseg - INFO - Iter [27550/38400] lr: 9.221e-04, eta: 0:12:39, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0820, decode.loss_grad: 0.0000, loss: 0.0820, grad_norm: 0.0250 2024-01-03 17:27:58,692 - mmseg - INFO - Iter [27600/38400] lr: 9.142e-04, eta: 0:12:35, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0819, decode.loss_grad: 0.0000, loss: 0.0819, grad_norm: 0.0238 2024-01-03 17:28:01,995 - mmseg - INFO - Iter [27650/38400] lr: 9.063e-04, eta: 0:12:32, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0812, decode.loss_grad: 0.0000, loss: 0.0812, grad_norm: 0.0241 2024-01-03 17:28:05,292 - mmseg - INFO - Iter [27700/38400] lr: 8.984e-04, eta: 0:12:28, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0794, decode.loss_grad: 0.0000, loss: 0.0794, grad_norm: 0.0240 2024-01-03 17:28:08,659 - mmseg - INFO - Iter [27750/38400] lr: 8.906e-04, eta: 0:12:25, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.0796, decode.loss_grad: 0.0000, loss: 0.0796, grad_norm: 0.0233 2024-01-03 17:28:11,994 - mmseg - INFO - Iter [27800/38400] lr: 8.828e-04, eta: 0:12:21, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.0813, decode.loss_grad: 0.0000, loss: 0.0813, grad_norm: 0.0233 2024-01-03 17:28:15,288 - mmseg - INFO - Iter [27850/38400] lr: 8.750e-04, eta: 0:12:17, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0821, decode.loss_grad: 0.0000, loss: 0.0821, grad_norm: 0.0231 2024-01-03 17:28:18,572 - mmseg - INFO - Iter [27900/38400] lr: 8.672e-04, eta: 0:12:14, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0811, decode.loss_grad: 0.0000, loss: 0.0811, grad_norm: 0.0228 2024-01-03 17:28:21,887 - mmseg - INFO - Iter [27950/38400] lr: 8.595e-04, eta: 0:12:10, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0806, decode.loss_grad: 0.0000, loss: 0.0806, grad_norm: 0.0252 2024-01-03 17:28:25,197 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:28:25,197 - mmseg - INFO - Iter [28000/38400] lr: 8.518e-04, eta: 0:12:07, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0802, decode.loss_grad: 0.0000, loss: 0.0802, grad_norm: 0.0245 2024-01-03 17:28:28,515 - mmseg - INFO - Iter [28050/38400] lr: 8.441e-04, eta: 0:12:03, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0831, decode.loss_grad: 0.0000, loss: 0.0831, grad_norm: 0.0246 2024-01-03 17:28:31,960 - mmseg - INFO - Iter [28100/38400] lr: 8.365e-04, eta: 0:12:00, time: 0.069, data_time: 0.002, memory: 940, decode.loss_depth: 0.0817, decode.loss_grad: 0.0000, loss: 0.0817, grad_norm: 0.0227 2024-01-03 17:28:35,253 - mmseg - INFO - Iter [28150/38400] lr: 8.288e-04, eta: 0:11:56, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0808, decode.loss_grad: 0.0000, loss: 0.0808, grad_norm: 0.0240 2024-01-03 17:28:38,538 - mmseg - INFO - Iter [28200/38400] lr: 8.213e-04, eta: 0:11:53, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0811, decode.loss_grad: 0.0000, loss: 0.0811, grad_norm: 0.0257 2024-01-03 17:28:41,846 - mmseg - INFO - Iter [28250/38400] lr: 8.137e-04, eta: 0:11:49, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0795, decode.loss_grad: 0.0000, loss: 0.0795, grad_norm: 0.0248 2024-01-03 17:28:45,136 - mmseg - INFO - Iter [28300/38400] lr: 8.062e-04, eta: 0:11:45, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0827, decode.loss_grad: 0.0000, loss: 0.0827, grad_norm: 0.0251 2024-01-03 17:28:48,459 - mmseg - INFO - Iter [28350/38400] lr: 7.986e-04, eta: 0:11:42, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0815, decode.loss_grad: 0.0000, loss: 0.0815, grad_norm: 0.0238 2024-01-03 17:28:51,799 - mmseg - INFO - Iter [28400/38400] lr: 7.912e-04, eta: 0:11:38, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.0816, decode.loss_grad: 0.0000, loss: 0.0816, grad_norm: 0.0237 2024-01-03 17:28:55,104 - mmseg - INFO - Iter [28450/38400] lr: 7.837e-04, eta: 0:11:35, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0831, decode.loss_grad: 0.0000, loss: 0.0831, grad_norm: 0.0240 2024-01-03 17:28:58,416 - mmseg - INFO - Iter [28500/38400] lr: 7.763e-04, eta: 0:11:31, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0803, decode.loss_grad: 0.0000, loss: 0.0803, grad_norm: 0.0239 2024-01-03 17:29:01,704 - mmseg - INFO - Iter [28550/38400] lr: 7.689e-04, eta: 0:11:28, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0804, decode.loss_grad: 0.0000, loss: 0.0804, grad_norm: 0.0226 2024-01-03 17:29:05,009 - mmseg - INFO - Iter [28600/38400] lr: 7.615e-04, eta: 0:11:24, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0830, decode.loss_grad: 0.0000, loss: 0.0830, grad_norm: 0.0250 2024-01-03 17:29:08,330 - mmseg - INFO - Iter [28650/38400] lr: 7.542e-04, eta: 0:11:20, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0812, decode.loss_grad: 0.0000, loss: 0.0812, grad_norm: 0.0244 2024-01-03 17:29:11,630 - mmseg - INFO - Iter [28700/38400] lr: 7.469e-04, eta: 0:11:17, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0828, decode.loss_grad: 0.0000, loss: 0.0828, grad_norm: 0.0242 2024-01-03 17:29:14,993 - mmseg - INFO - Iter [28750/38400] lr: 7.396e-04, eta: 0:11:13, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.0817, decode.loss_grad: 0.0000, loss: 0.0817, grad_norm: 0.0242 2024-01-03 17:29:20,386 - mmseg - INFO - Saving checkpoint at 28800 iterations 2024-01-03 17:29:20,398 - mmseg - INFO - Iter [28800/38400] lr: 7.324e-04, eta: 0:11:11, time: 0.108, data_time: 0.043, memory: 940, decode.loss_depth: 0.0799, decode.loss_grad: 0.0000, loss: 0.0799, grad_norm: 0.0237 2024-01-03 17:29:26,974 - mmseg - INFO - Summary: 2024-01-03 17:29:26,975 - mmseg - INFO - +--------+-------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+-------+--------+---------+--------+--------+----------+---------+--------+ | 0.8779 | 0.987 | 0.9983 | 0.1192 | 0.3931 | 0.049 | 0.1419 | 11.0228 | 0.0633 | +--------+-------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:29:26,975 - mmseg - INFO - Iter(val) [82] a1: 0.8779, a2: 0.9870, a3: 0.9983, abs_rel: 0.11918570101261139, rmse: 0.3931218385696411, log_10: 0.048989929258823395, rmse_log: 0.14185626804828644, silog: 11.0228, sq_rel: 0.06331026554107666 2024-01-03 17:29:30,293 - mmseg - INFO - Iter [28850/38400] lr: 7.252e-04, eta: 0:11:09, time: 0.198, data_time: 0.134, memory: 940, decode.loss_depth: 0.0805, decode.loss_grad: 0.0000, loss: 0.0805, grad_norm: 0.0254 2024-01-03 17:29:33,581 - mmseg - INFO - Iter [28900/38400] lr: 7.180e-04, eta: 0:11:06, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0803, decode.loss_grad: 0.0000, loss: 0.0803, grad_norm: 0.0241 2024-01-03 17:29:36,880 - mmseg - INFO - Iter [28950/38400] lr: 7.108e-04, eta: 0:11:02, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0825, decode.loss_grad: 0.0000, loss: 0.0825, grad_norm: 0.0244 2024-01-03 17:29:40,186 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:29:40,186 - mmseg - INFO - Iter [29000/38400] lr: 7.037e-04, eta: 0:10:58, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0814, decode.loss_grad: 0.0000, loss: 0.0814, grad_norm: 0.0233 2024-01-03 17:29:43,491 - mmseg - INFO - Iter [29050/38400] lr: 6.966e-04, eta: 0:10:55, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0813, decode.loss_grad: 0.0000, loss: 0.0813, grad_norm: 0.0232 2024-01-03 17:29:46,788 - mmseg - INFO - Iter [29100/38400] lr: 6.895e-04, eta: 0:10:51, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0797, decode.loss_grad: 0.0000, loss: 0.0797, grad_norm: 0.0238 2024-01-03 17:29:50,091 - mmseg - INFO - Iter [29150/38400] lr: 6.825e-04, eta: 0:10:48, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0823, decode.loss_grad: 0.0000, loss: 0.0823, grad_norm: 0.0239 2024-01-03 17:29:53,381 - mmseg - INFO - Iter [29200/38400] lr: 6.755e-04, eta: 0:10:44, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0804, decode.loss_grad: 0.0000, loss: 0.0804, grad_norm: 0.0240 2024-01-03 17:29:56,861 - mmseg - INFO - Iter [29250/38400] lr: 6.685e-04, eta: 0:10:41, time: 0.070, data_time: 0.002, memory: 940, decode.loss_depth: 0.0800, decode.loss_grad: 0.0000, loss: 0.0800, grad_norm: 0.0232 2024-01-03 17:30:00,181 - mmseg - INFO - Iter [29300/38400] lr: 6.616e-04, eta: 0:10:37, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0800, decode.loss_grad: 0.0000, loss: 0.0800, grad_norm: 0.0226 2024-01-03 17:30:03,483 - mmseg - INFO - Iter [29350/38400] lr: 6.546e-04, eta: 0:10:34, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0824, decode.loss_grad: 0.0000, loss: 0.0824, grad_norm: 0.0242 2024-01-03 17:30:06,781 - mmseg - INFO - Iter [29400/38400] lr: 6.478e-04, eta: 0:10:30, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0807, decode.loss_grad: 0.0000, loss: 0.0807, grad_norm: 0.0240 2024-01-03 17:30:10,079 - mmseg - INFO - Iter [29450/38400] lr: 6.409e-04, eta: 0:10:26, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0809, decode.loss_grad: 0.0000, loss: 0.0809, grad_norm: 0.0234 2024-01-03 17:30:13,382 - mmseg - INFO - Iter [29500/38400] lr: 6.341e-04, eta: 0:10:23, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0796, decode.loss_grad: 0.0000, loss: 0.0796, grad_norm: 0.0235 2024-01-03 17:30:16,676 - mmseg - INFO - Iter [29550/38400] lr: 6.273e-04, eta: 0:10:19, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0811, decode.loss_grad: 0.0000, loss: 0.0811, grad_norm: 0.0235 2024-01-03 17:30:20,029 - mmseg - INFO - Iter [29600/38400] lr: 6.205e-04, eta: 0:10:16, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.0800, decode.loss_grad: 0.0000, loss: 0.0800, grad_norm: 0.0235 2024-01-03 17:30:23,334 - mmseg - INFO - Iter [29650/38400] lr: 6.138e-04, eta: 0:10:12, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0803, decode.loss_grad: 0.0000, loss: 0.0803, grad_norm: 0.0241 2024-01-03 17:30:26,628 - mmseg - INFO - Iter [29700/38400] lr: 6.071e-04, eta: 0:10:09, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0808, decode.loss_grad: 0.0000, loss: 0.0808, grad_norm: 0.0242 2024-01-03 17:30:30,086 - mmseg - INFO - Iter [29750/38400] lr: 6.004e-04, eta: 0:10:05, time: 0.069, data_time: 0.002, memory: 940, decode.loss_depth: 0.0797, decode.loss_grad: 0.0000, loss: 0.0797, grad_norm: 0.0236 2024-01-03 17:30:33,377 - mmseg - INFO - Iter [29800/38400] lr: 5.938e-04, eta: 0:10:02, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0810, decode.loss_grad: 0.0000, loss: 0.0810, grad_norm: 0.0248 2024-01-03 17:30:36,660 - mmseg - INFO - Iter [29850/38400] lr: 5.872e-04, eta: 0:09:58, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0796, decode.loss_grad: 0.0000, loss: 0.0796, grad_norm: 0.0247 2024-01-03 17:30:39,965 - mmseg - INFO - Iter [29900/38400] lr: 5.806e-04, eta: 0:09:54, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0797, decode.loss_grad: 0.0000, loss: 0.0797, grad_norm: 0.0232 2024-01-03 17:30:43,276 - mmseg - INFO - Iter [29950/38400] lr: 5.741e-04, eta: 0:09:51, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0809, decode.loss_grad: 0.0000, loss: 0.0809, grad_norm: 0.0247 2024-01-03 17:30:46,583 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:30:46,583 - mmseg - INFO - Iter [30000/38400] lr: 5.676e-04, eta: 0:09:47, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0812, decode.loss_grad: 0.0000, loss: 0.0812, grad_norm: 0.0242 2024-01-03 17:30:50,035 - mmseg - INFO - Iter [30050/38400] lr: 5.611e-04, eta: 0:09:44, time: 0.069, data_time: 0.002, memory: 940, decode.loss_depth: 0.0790, decode.loss_grad: 0.0000, loss: 0.0790, grad_norm: 0.0226 2024-01-03 17:30:53,320 - mmseg - INFO - Iter [30100/38400] lr: 5.547e-04, eta: 0:09:40, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0796, decode.loss_grad: 0.0000, loss: 0.0796, grad_norm: 0.0242 2024-01-03 17:30:56,637 - mmseg - INFO - Iter [30150/38400] lr: 5.483e-04, eta: 0:09:37, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0782, decode.loss_grad: 0.0000, loss: 0.0782, grad_norm: 0.0237 2024-01-03 17:30:59,954 - mmseg - INFO - Iter [30200/38400] lr: 5.419e-04, eta: 0:09:33, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0809, decode.loss_grad: 0.0000, loss: 0.0809, grad_norm: 0.0236 2024-01-03 17:31:03,296 - mmseg - INFO - Iter [30250/38400] lr: 5.356e-04, eta: 0:09:30, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.0811, decode.loss_grad: 0.0000, loss: 0.0811, grad_norm: 0.0236 2024-01-03 17:31:08,671 - mmseg - INFO - Iter [30300/38400] lr: 5.293e-04, eta: 0:09:27, time: 0.108, data_time: 0.044, memory: 940, decode.loss_depth: 0.0800, decode.loss_grad: 0.0000, loss: 0.0800, grad_norm: 0.0236 2024-01-03 17:31:11,978 - mmseg - INFO - Iter [30350/38400] lr: 5.230e-04, eta: 0:09:23, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0789, decode.loss_grad: 0.0000, loss: 0.0789, grad_norm: 0.0230 2024-01-03 17:31:15,269 - mmseg - INFO - Saving checkpoint at 30400 iterations 2024-01-03 17:31:15,281 - mmseg - INFO - Iter [30400/38400] lr: 5.167e-04, eta: 0:09:19, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0802, decode.loss_grad: 0.0000, loss: 0.0802, grad_norm: 0.0227 2024-01-03 17:31:18,571 - mmseg - INFO - Iter [30450/38400] lr: 5.105e-04, eta: 0:09:16, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0793, decode.loss_grad: 0.0000, loss: 0.0793, grad_norm: 0.0228 2024-01-03 17:31:22,014 - mmseg - INFO - Iter [30500/38400] lr: 5.044e-04, eta: 0:09:12, time: 0.069, data_time: 0.002, memory: 940, decode.loss_depth: 0.0799, decode.loss_grad: 0.0000, loss: 0.0799, grad_norm: 0.0237 2024-01-03 17:31:25,328 - mmseg - INFO - Iter [30550/38400] lr: 4.982e-04, eta: 0:09:09, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0814, decode.loss_grad: 0.0000, loss: 0.0814, grad_norm: 0.0243 2024-01-03 17:31:28,635 - mmseg - INFO - Iter [30600/38400] lr: 4.921e-04, eta: 0:09:05, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0799, decode.loss_grad: 0.0000, loss: 0.0799, grad_norm: 0.0230 2024-01-03 17:31:31,945 - mmseg - INFO - Iter [30650/38400] lr: 4.860e-04, eta: 0:09:02, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0787, decode.loss_grad: 0.0000, loss: 0.0787, grad_norm: 0.0230 2024-01-03 17:31:35,240 - mmseg - INFO - Iter [30700/38400] lr: 4.800e-04, eta: 0:08:58, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0791, decode.loss_grad: 0.0000, loss: 0.0791, grad_norm: 0.0238 2024-01-03 17:31:38,542 - mmseg - INFO - Iter [30750/38400] lr: 4.740e-04, eta: 0:08:55, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0801, decode.loss_grad: 0.0000, loss: 0.0801, grad_norm: 0.0241 2024-01-03 17:31:41,853 - mmseg - INFO - Iter [30800/38400] lr: 4.680e-04, eta: 0:08:51, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0805, decode.loss_grad: 0.0000, loss: 0.0805, grad_norm: 0.0225 2024-01-03 17:31:45,171 - mmseg - INFO - Iter [30850/38400] lr: 4.621e-04, eta: 0:08:48, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0777, decode.loss_grad: 0.0000, loss: 0.0777, grad_norm: 0.0224 2024-01-03 17:31:48,462 - mmseg - INFO - Iter [30900/38400] lr: 4.562e-04, eta: 0:08:44, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0812, decode.loss_grad: 0.0000, loss: 0.0812, grad_norm: 0.0232 2024-01-03 17:31:51,755 - mmseg - INFO - Iter [30950/38400] lr: 4.503e-04, eta: 0:08:41, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0779, decode.loss_grad: 0.0000, loss: 0.0779, grad_norm: 0.0228 2024-01-03 17:31:55,052 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:31:55,052 - mmseg - INFO - Iter [31000/38400] lr: 4.444e-04, eta: 0:08:37, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0811, decode.loss_grad: 0.0000, loss: 0.0811, grad_norm: 0.0237 2024-01-03 17:31:58,352 - mmseg - INFO - Iter [31050/38400] lr: 4.386e-04, eta: 0:08:33, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0786, decode.loss_grad: 0.0000, loss: 0.0786, grad_norm: 0.0226 2024-01-03 17:32:01,643 - mmseg - INFO - Iter [31100/38400] lr: 4.329e-04, eta: 0:08:30, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0795, decode.loss_grad: 0.0000, loss: 0.0795, grad_norm: 0.0228 2024-01-03 17:32:04,934 - mmseg - INFO - Iter [31150/38400] lr: 4.271e-04, eta: 0:08:26, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0793, decode.loss_grad: 0.0000, loss: 0.0793, grad_norm: 0.0244 2024-01-03 17:32:08,235 - mmseg - INFO - Iter [31200/38400] lr: 4.214e-04, eta: 0:08:23, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0787, decode.loss_grad: 0.0000, loss: 0.0787, grad_norm: 0.0227 2024-01-03 17:32:11,531 - mmseg - INFO - Iter [31250/38400] lr: 4.158e-04, eta: 0:08:19, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0803, decode.loss_grad: 0.0000, loss: 0.0803, grad_norm: 0.0238 2024-01-03 17:32:14,827 - mmseg - INFO - Iter [31300/38400] lr: 4.101e-04, eta: 0:08:16, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0796, decode.loss_grad: 0.0000, loss: 0.0796, grad_norm: 0.0237 2024-01-03 17:32:18,100 - mmseg - INFO - Iter [31350/38400] lr: 4.045e-04, eta: 0:08:12, time: 0.065, data_time: 0.002, memory: 940, decode.loss_depth: 0.0803, decode.loss_grad: 0.0000, loss: 0.0803, grad_norm: 0.0235 2024-01-03 17:32:21,381 - mmseg - INFO - Iter [31400/38400] lr: 3.990e-04, eta: 0:08:09, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0795, decode.loss_grad: 0.0000, loss: 0.0795, grad_norm: 0.0239 2024-01-03 17:32:24,687 - mmseg - INFO - Iter [31450/38400] lr: 3.935e-04, eta: 0:08:05, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0794, decode.loss_grad: 0.0000, loss: 0.0794, grad_norm: 0.0239 2024-01-03 17:32:27,981 - mmseg - INFO - Iter [31500/38400] lr: 3.880e-04, eta: 0:08:02, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0795, decode.loss_grad: 0.0000, loss: 0.0795, grad_norm: 0.0233 2024-01-03 17:32:31,281 - mmseg - INFO - Iter [31550/38400] lr: 3.825e-04, eta: 0:07:58, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0787, decode.loss_grad: 0.0000, loss: 0.0787, grad_norm: 0.0230 2024-01-03 17:32:34,583 - mmseg - INFO - Iter [31600/38400] lr: 3.771e-04, eta: 0:07:54, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0784, decode.loss_grad: 0.0000, loss: 0.0784, grad_norm: 0.0230 2024-01-03 17:32:37,877 - mmseg - INFO - Iter [31650/38400] lr: 3.717e-04, eta: 0:07:51, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0803, decode.loss_grad: 0.0000, loss: 0.0803, grad_norm: 0.0230 2024-01-03 17:32:41,170 - mmseg - INFO - Iter [31700/38400] lr: 3.664e-04, eta: 0:07:47, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0813, decode.loss_grad: 0.0000, loss: 0.0813, grad_norm: 0.0226 2024-01-03 17:32:44,461 - mmseg - INFO - Iter [31750/38400] lr: 3.611e-04, eta: 0:07:44, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0823, decode.loss_grad: 0.0000, loss: 0.0823, grad_norm: 0.0229 2024-01-03 17:32:49,850 - mmseg - INFO - Iter [31800/38400] lr: 3.558e-04, eta: 0:07:41, time: 0.108, data_time: 0.043, memory: 940, decode.loss_depth: 0.0787, decode.loss_grad: 0.0000, loss: 0.0787, grad_norm: 0.0229 2024-01-03 17:32:53,140 - mmseg - INFO - Iter [31850/38400] lr: 3.505e-04, eta: 0:07:37, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0765, decode.loss_grad: 0.0000, loss: 0.0765, grad_norm: 0.0223 2024-01-03 17:32:56,440 - mmseg - INFO - Iter [31900/38400] lr: 3.453e-04, eta: 0:07:34, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0779, decode.loss_grad: 0.0000, loss: 0.0779, grad_norm: 0.0229 2024-01-03 17:32:59,819 - mmseg - INFO - Iter [31950/38400] lr: 3.402e-04, eta: 0:07:30, time: 0.068, data_time: 0.002, memory: 940, decode.loss_depth: 0.0795, decode.loss_grad: 0.0000, loss: 0.0795, grad_norm: 0.0235 2024-01-03 17:33:03,115 - mmseg - INFO - Saving checkpoint at 32000 iterations 2024-01-03 17:33:03,134 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:33:03,134 - mmseg - INFO - Iter [32000/38400] lr: 3.350e-04, eta: 0:07:27, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0788, decode.loss_grad: 0.0000, loss: 0.0788, grad_norm: 0.0226 2024-01-03 17:33:09,664 - mmseg - INFO - Summary: 2024-01-03 17:33:09,664 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.8748 | 0.9863 | 0.9983 | 0.1212 | 0.3966 | 0.0496 | 0.1432 | 11.0336 | 0.0651 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:33:09,665 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:33:09,665 - mmseg - INFO - Iter(val) [82] a1: 0.8748, a2: 0.9863, a3: 0.9983, abs_rel: 0.12119029462337494, rmse: 0.3966290354728699, log_10: 0.04960615932941437, rmse_log: 0.1432410329580307, silog: 11.0336, sq_rel: 0.0651063397526741 2024-01-03 17:33:12,971 - mmseg - INFO - Iter [32050/38400] lr: 3.299e-04, eta: 0:07:24, time: 0.197, data_time: 0.133, memory: 940, decode.loss_depth: 0.0808, decode.loss_grad: 0.0000, loss: 0.0808, grad_norm: 0.0229 2024-01-03 17:33:16,271 - mmseg - INFO - Iter [32100/38400] lr: 3.249e-04, eta: 0:07:21, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0802, decode.loss_grad: 0.0000, loss: 0.0802, grad_norm: 0.0228 2024-01-03 17:33:19,565 - mmseg - INFO - Iter [32150/38400] lr: 3.199e-04, eta: 0:07:17, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0785, decode.loss_grad: 0.0000, loss: 0.0785, grad_norm: 0.0225 2024-01-03 17:33:22,850 - mmseg - INFO - Iter [32200/38400] lr: 3.149e-04, eta: 0:07:14, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0781, decode.loss_grad: 0.0000, loss: 0.0781, grad_norm: 0.0231 2024-01-03 17:33:26,134 - mmseg - INFO - Iter [32250/38400] lr: 3.099e-04, eta: 0:07:10, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0792, decode.loss_grad: 0.0000, loss: 0.0792, grad_norm: 0.0227 2024-01-03 17:33:29,439 - mmseg - INFO - Iter [32300/38400] lr: 3.050e-04, eta: 0:07:07, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0782, decode.loss_grad: 0.0000, loss: 0.0782, grad_norm: 0.0232 2024-01-03 17:33:32,739 - mmseg - INFO - Iter [32350/38400] lr: 3.001e-04, eta: 0:07:03, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0788, decode.loss_grad: 0.0000, loss: 0.0788, grad_norm: 0.0244 2024-01-03 17:33:36,038 - mmseg - INFO - Iter [32400/38400] lr: 2.953e-04, eta: 0:07:00, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0796, decode.loss_grad: 0.0000, loss: 0.0796, grad_norm: 0.0236 2024-01-03 17:33:39,329 - mmseg - INFO - Iter [32450/38400] lr: 2.905e-04, eta: 0:06:56, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0787, decode.loss_grad: 0.0000, loss: 0.0787, grad_norm: 0.0222 2024-01-03 17:33:42,835 - mmseg - INFO - Iter [32500/38400] lr: 2.857e-04, eta: 0:06:53, time: 0.070, data_time: 0.002, memory: 940, decode.loss_depth: 0.0796, decode.loss_grad: 0.0000, loss: 0.0796, grad_norm: 0.0226 2024-01-03 17:33:46,152 - mmseg - INFO - Iter [32550/38400] lr: 2.810e-04, eta: 0:06:49, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0805, decode.loss_grad: 0.0000, loss: 0.0805, grad_norm: 0.0234 2024-01-03 17:33:49,439 - mmseg - INFO - Iter [32600/38400] lr: 2.763e-04, eta: 0:06:46, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0796, decode.loss_grad: 0.0000, loss: 0.0796, grad_norm: 0.0234 2024-01-03 17:33:52,793 - mmseg - INFO - Iter [32650/38400] lr: 2.716e-04, eta: 0:06:42, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.0790, decode.loss_grad: 0.0000, loss: 0.0790, grad_norm: 0.0228 2024-01-03 17:33:56,089 - mmseg - INFO - Iter [32700/38400] lr: 2.670e-04, eta: 0:06:38, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0786, decode.loss_grad: 0.0000, loss: 0.0786, grad_norm: 0.0227 2024-01-03 17:33:59,376 - mmseg - INFO - Iter [32750/38400] lr: 2.625e-04, eta: 0:06:35, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0806, decode.loss_grad: 0.0000, loss: 0.0806, grad_norm: 0.0237 2024-01-03 17:34:02,659 - mmseg - INFO - Iter [32800/38400] lr: 2.579e-04, eta: 0:06:31, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0787, decode.loss_grad: 0.0000, loss: 0.0787, grad_norm: 0.0223 2024-01-03 17:34:05,962 - mmseg - INFO - Iter [32850/38400] lr: 2.534e-04, eta: 0:06:28, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0789, decode.loss_grad: 0.0000, loss: 0.0789, grad_norm: 0.0236 2024-01-03 17:34:09,237 - mmseg - INFO - Iter [32900/38400] lr: 2.489e-04, eta: 0:06:24, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0772, decode.loss_grad: 0.0000, loss: 0.0772, grad_norm: 0.0228 2024-01-03 17:34:12,511 - mmseg - INFO - Iter [32950/38400] lr: 2.445e-04, eta: 0:06:21, time: 0.065, data_time: 0.002, memory: 940, decode.loss_depth: 0.0803, decode.loss_grad: 0.0000, loss: 0.0803, grad_norm: 0.0237 2024-01-03 17:34:15,852 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:34:15,852 - mmseg - INFO - Iter [33000/38400] lr: 2.401e-04, eta: 0:06:17, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.0805, decode.loss_grad: 0.0000, loss: 0.0805, grad_norm: 0.0224 2024-01-03 17:34:19,140 - mmseg - INFO - Iter [33050/38400] lr: 2.358e-04, eta: 0:06:14, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0804, decode.loss_grad: 0.0000, loss: 0.0804, grad_norm: 0.0222 2024-01-03 17:34:22,447 - mmseg - INFO - Iter [33100/38400] lr: 2.314e-04, eta: 0:06:10, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0772, decode.loss_grad: 0.0000, loss: 0.0772, grad_norm: 0.0224 2024-01-03 17:34:25,903 - mmseg - INFO - Iter [33150/38400] lr: 2.272e-04, eta: 0:06:07, time: 0.069, data_time: 0.002, memory: 940, decode.loss_depth: 0.0800, decode.loss_grad: 0.0000, loss: 0.0800, grad_norm: 0.0229 2024-01-03 17:34:29,190 - mmseg - INFO - Iter [33200/38400] lr: 2.229e-04, eta: 0:06:03, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0786, decode.loss_grad: 0.0000, loss: 0.0786, grad_norm: 0.0227 2024-01-03 17:34:32,484 - mmseg - INFO - Iter [33250/38400] lr: 2.187e-04, eta: 0:06:00, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0783, decode.loss_grad: 0.0000, loss: 0.0783, grad_norm: 0.0229 2024-01-03 17:34:35,837 - mmseg - INFO - Iter [33300/38400] lr: 2.146e-04, eta: 0:05:56, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.0782, decode.loss_grad: 0.0000, loss: 0.0782, grad_norm: 0.0231 2024-01-03 17:34:41,219 - mmseg - INFO - Iter [33350/38400] lr: 2.104e-04, eta: 0:05:53, time: 0.108, data_time: 0.043, memory: 940, decode.loss_depth: 0.0775, decode.loss_grad: 0.0000, loss: 0.0775, grad_norm: 0.0222 2024-01-03 17:34:44,504 - mmseg - INFO - Iter [33400/38400] lr: 2.063e-04, eta: 0:05:49, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0788, decode.loss_grad: 0.0000, loss: 0.0788, grad_norm: 0.0236 2024-01-03 17:34:47,851 - mmseg - INFO - Iter [33450/38400] lr: 2.023e-04, eta: 0:05:46, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.0807, decode.loss_grad: 0.0000, loss: 0.0807, grad_norm: 0.0228 2024-01-03 17:34:51,138 - mmseg - INFO - Iter [33500/38400] lr: 1.983e-04, eta: 0:05:42, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0789, decode.loss_grad: 0.0000, loss: 0.0789, grad_norm: 0.0229 2024-01-03 17:34:54,443 - mmseg - INFO - Iter [33550/38400] lr: 1.943e-04, eta: 0:05:39, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0807, decode.loss_grad: 0.0000, loss: 0.0807, grad_norm: 0.0228 2024-01-03 17:34:57,745 - mmseg - INFO - Saving checkpoint at 33600 iterations 2024-01-03 17:34:57,756 - mmseg - INFO - Iter [33600/38400] lr: 1.904e-04, eta: 0:05:35, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0788, decode.loss_grad: 0.0000, loss: 0.0788, grad_norm: 0.0228 2024-01-03 17:35:01,046 - mmseg - INFO - Iter [33650/38400] lr: 1.865e-04, eta: 0:05:32, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0785, decode.loss_grad: 0.0000, loss: 0.0785, grad_norm: 0.0233 2024-01-03 17:35:04,354 - mmseg - INFO - Iter [33700/38400] lr: 1.826e-04, eta: 0:05:28, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0784, decode.loss_grad: 0.0000, loss: 0.0784, grad_norm: 0.0229 2024-01-03 17:35:07,702 - mmseg - INFO - Iter [33750/38400] lr: 1.788e-04, eta: 0:05:25, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.0782, decode.loss_grad: 0.0000, loss: 0.0782, grad_norm: 0.0228 2024-01-03 17:35:10,989 - mmseg - INFO - Iter [33800/38400] lr: 1.750e-04, eta: 0:05:21, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0780, decode.loss_grad: 0.0000, loss: 0.0780, grad_norm: 0.0233 2024-01-03 17:35:14,277 - mmseg - INFO - Iter [33850/38400] lr: 1.713e-04, eta: 0:05:18, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0783, decode.loss_grad: 0.0000, loss: 0.0783, grad_norm: 0.0225 2024-01-03 17:35:17,632 - mmseg - INFO - Iter [33900/38400] lr: 1.676e-04, eta: 0:05:14, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.0779, decode.loss_grad: 0.0000, loss: 0.0779, grad_norm: 0.0217 2024-01-03 17:35:20,928 - mmseg - INFO - Iter [33950/38400] lr: 1.639e-04, eta: 0:05:11, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0763, decode.loss_grad: 0.0000, loss: 0.0763, grad_norm: 0.0221 2024-01-03 17:35:24,208 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:35:24,208 - mmseg - INFO - Iter [34000/38400] lr: 1.603e-04, eta: 0:05:07, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0766, decode.loss_grad: 0.0000, loss: 0.0766, grad_norm: 0.0215 2024-01-03 17:35:27,598 - mmseg - INFO - Iter [34050/38400] lr: 1.567e-04, eta: 0:05:04, time: 0.068, data_time: 0.002, memory: 940, decode.loss_depth: 0.0797, decode.loss_grad: 0.0000, loss: 0.0797, grad_norm: 0.0219 2024-01-03 17:35:30,909 - mmseg - INFO - Iter [34100/38400] lr: 1.532e-04, eta: 0:05:00, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0781, decode.loss_grad: 0.0000, loss: 0.0781, grad_norm: 0.0224 2024-01-03 17:35:34,202 - mmseg - INFO - Iter [34150/38400] lr: 1.497e-04, eta: 0:04:57, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0775, decode.loss_grad: 0.0000, loss: 0.0775, grad_norm: 0.0227 2024-01-03 17:35:37,499 - mmseg - INFO - Iter [34200/38400] lr: 1.462e-04, eta: 0:04:53, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0785, decode.loss_grad: 0.0000, loss: 0.0785, grad_norm: 0.0222 2024-01-03 17:35:40,863 - mmseg - INFO - Iter [34250/38400] lr: 1.428e-04, eta: 0:04:50, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.0793, decode.loss_grad: 0.0000, loss: 0.0793, grad_norm: 0.0220 2024-01-03 17:35:44,140 - mmseg - INFO - Iter [34300/38400] lr: 1.394e-04, eta: 0:04:46, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0802, decode.loss_grad: 0.0000, loss: 0.0802, grad_norm: 0.0227 2024-01-03 17:35:47,414 - mmseg - INFO - Iter [34350/38400] lr: 1.360e-04, eta: 0:04:42, time: 0.065, data_time: 0.002, memory: 940, decode.loss_depth: 0.0790, decode.loss_grad: 0.0000, loss: 0.0790, grad_norm: 0.0231 2024-01-03 17:35:50,801 - mmseg - INFO - Iter [34400/38400] lr: 1.327e-04, eta: 0:04:39, time: 0.068, data_time: 0.002, memory: 940, decode.loss_depth: 0.0790, decode.loss_grad: 0.0000, loss: 0.0790, grad_norm: 0.0214 2024-01-03 17:35:54,095 - mmseg - INFO - Iter [34450/38400] lr: 1.295e-04, eta: 0:04:35, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0759, decode.loss_grad: 0.0000, loss: 0.0759, grad_norm: 0.0217 2024-01-03 17:35:57,383 - mmseg - INFO - Iter [34500/38400] lr: 1.262e-04, eta: 0:04:32, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0781, decode.loss_grad: 0.0000, loss: 0.0781, grad_norm: 0.0217 2024-01-03 17:36:00,702 - mmseg - INFO - Iter [34550/38400] lr: 1.231e-04, eta: 0:04:28, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0778, decode.loss_grad: 0.0000, loss: 0.0778, grad_norm: 0.0224 2024-01-03 17:36:03,990 - mmseg - INFO - Iter [34600/38400] lr: 1.199e-04, eta: 0:04:25, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0779, decode.loss_grad: 0.0000, loss: 0.0779, grad_norm: 0.0229 2024-01-03 17:36:07,285 - mmseg - INFO - Iter [34650/38400] lr: 1.168e-04, eta: 0:04:21, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0794, decode.loss_grad: 0.0000, loss: 0.0794, grad_norm: 0.0235 2024-01-03 17:36:10,632 - mmseg - INFO - Iter [34700/38400] lr: 1.137e-04, eta: 0:04:18, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.0777, decode.loss_grad: 0.0000, loss: 0.0777, grad_norm: 0.0222 2024-01-03 17:36:13,924 - mmseg - INFO - Iter [34750/38400] lr: 1.107e-04, eta: 0:04:14, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0781, decode.loss_grad: 0.0000, loss: 0.0781, grad_norm: 0.0220 2024-01-03 17:36:17,214 - mmseg - INFO - Iter [34800/38400] lr: 1.077e-04, eta: 0:04:11, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0793, decode.loss_grad: 0.0000, loss: 0.0793, grad_norm: 0.0221 2024-01-03 17:36:22,805 - mmseg - INFO - Iter [34850/38400] lr: 1.048e-04, eta: 0:04:08, time: 0.112, data_time: 0.043, memory: 940, decode.loss_depth: 0.0764, decode.loss_grad: 0.0000, loss: 0.0764, grad_norm: 0.0220 2024-01-03 17:36:26,073 - mmseg - INFO - Iter [34900/38400] lr: 1.018e-04, eta: 0:04:04, time: 0.065, data_time: 0.002, memory: 940, decode.loss_depth: 0.0773, decode.loss_grad: 0.0000, loss: 0.0773, grad_norm: 0.0217 2024-01-03 17:36:29,378 - mmseg - INFO - Iter [34950/38400] lr: 9.898e-05, eta: 0:04:01, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0798, decode.loss_grad: 0.0000, loss: 0.0798, grad_norm: 0.0223 2024-01-03 17:36:32,803 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:36:32,803 - mmseg - INFO - Iter [35000/38400] lr: 9.615e-05, eta: 0:03:57, time: 0.068, data_time: 0.002, memory: 940, decode.loss_depth: 0.0782, decode.loss_grad: 0.0000, loss: 0.0782, grad_norm: 0.0223 2024-01-03 17:36:36,094 - mmseg - INFO - Iter [35050/38400] lr: 9.336e-05, eta: 0:03:54, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0786, decode.loss_grad: 0.0000, loss: 0.0786, grad_norm: 0.0216 2024-01-03 17:36:39,393 - mmseg - INFO - Iter [35100/38400] lr: 9.061e-05, eta: 0:03:50, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0787, decode.loss_grad: 0.0000, loss: 0.0787, grad_norm: 0.0219 2024-01-03 17:36:42,728 - mmseg - INFO - Iter [35150/38400] lr: 8.791e-05, eta: 0:03:47, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.0781, decode.loss_grad: 0.0000, loss: 0.0781, grad_norm: 0.0222 2024-01-03 17:36:46,011 - mmseg - INFO - Saving checkpoint at 35200 iterations 2024-01-03 17:36:46,024 - mmseg - INFO - Iter [35200/38400] lr: 8.524e-05, eta: 0:03:43, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0801, decode.loss_grad: 0.0000, loss: 0.0801, grad_norm: 0.0225 2024-01-03 17:36:52,592 - mmseg - INFO - Summary: 2024-01-03 17:36:52,592 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.8761 | 0.9864 | 0.9982 | 0.12 | 0.3944 | 0.0493 | 0.1426 | 11.0328 | 0.0642 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:36:52,593 - mmseg - INFO - Iter(val) [82] a1: 0.8761, a2: 0.9864, a3: 0.9982, abs_rel: 0.11999381333589554, rmse: 0.394356369972229, log_10: 0.04926788806915283, rmse_log: 0.14256632328033447, silog: 11.0328, sq_rel: 0.06419959664344788 2024-01-03 17:36:55,879 - mmseg - INFO - Iter [35250/38400] lr: 8.261e-05, eta: 0:03:40, time: 0.197, data_time: 0.133, memory: 940, decode.loss_depth: 0.0785, decode.loss_grad: 0.0000, loss: 0.0785, grad_norm: 0.0228 2024-01-03 17:36:59,169 - mmseg - INFO - Iter [35300/38400] lr: 8.002e-05, eta: 0:03:37, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0753, decode.loss_grad: 0.0000, loss: 0.0753, grad_norm: 0.0218 2024-01-03 17:37:02,451 - mmseg - INFO - Iter [35350/38400] lr: 7.748e-05, eta: 0:03:33, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0784, decode.loss_grad: 0.0000, loss: 0.0784, grad_norm: 0.0222 2024-01-03 17:37:05,739 - mmseg - INFO - Iter [35400/38400] lr: 7.497e-05, eta: 0:03:30, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0785, decode.loss_grad: 0.0000, loss: 0.0785, grad_norm: 0.0220 2024-01-03 17:37:09,026 - mmseg - INFO - Iter [35450/38400] lr: 7.251e-05, eta: 0:03:26, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0798, decode.loss_grad: 0.0000, loss: 0.0798, grad_norm: 0.0227 2024-01-03 17:37:12,345 - mmseg - INFO - Iter [35500/38400] lr: 7.008e-05, eta: 0:03:23, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0777, decode.loss_grad: 0.0000, loss: 0.0777, grad_norm: 0.0215 2024-01-03 17:37:15,650 - mmseg - INFO - Iter [35550/38400] lr: 6.770e-05, eta: 0:03:19, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0792, decode.loss_grad: 0.0000, loss: 0.0792, grad_norm: 0.0228 2024-01-03 17:37:18,955 - mmseg - INFO - Iter [35600/38400] lr: 6.535e-05, eta: 0:03:15, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0794, decode.loss_grad: 0.0000, loss: 0.0794, grad_norm: 0.0225 2024-01-03 17:37:22,265 - mmseg - INFO - Iter [35650/38400] lr: 6.305e-05, eta: 0:03:12, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0757, decode.loss_grad: 0.0000, loss: 0.0757, grad_norm: 0.0217 2024-01-03 17:37:25,610 - mmseg - INFO - Iter [35700/38400] lr: 6.079e-05, eta: 0:03:08, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.0768, decode.loss_grad: 0.0000, loss: 0.0768, grad_norm: 0.0222 2024-01-03 17:37:28,904 - mmseg - INFO - Iter [35750/38400] lr: 5.857e-05, eta: 0:03:05, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0782, decode.loss_grad: 0.0000, loss: 0.0782, grad_norm: 0.0215 2024-01-03 17:37:32,213 - mmseg - INFO - Iter [35800/38400] lr: 5.639e-05, eta: 0:03:01, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0787, decode.loss_grad: 0.0000, loss: 0.0787, grad_norm: 0.0232 2024-01-03 17:37:35,525 - mmseg - INFO - Iter [35850/38400] lr: 5.425e-05, eta: 0:02:58, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0775, decode.loss_grad: 0.0000, loss: 0.0775, grad_norm: 0.0216 2024-01-03 17:37:38,821 - mmseg - INFO - Iter [35900/38400] lr: 5.215e-05, eta: 0:02:54, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0788, decode.loss_grad: 0.0000, loss: 0.0788, grad_norm: 0.0221 2024-01-03 17:37:42,124 - mmseg - INFO - Iter [35950/38400] lr: 5.009e-05, eta: 0:02:51, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0767, decode.loss_grad: 0.0000, loss: 0.0767, grad_norm: 0.0220 2024-01-03 17:37:45,410 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:37:45,410 - mmseg - INFO - Iter [36000/38400] lr: 4.808e-05, eta: 0:02:47, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0776, decode.loss_grad: 0.0000, loss: 0.0776, grad_norm: 0.0230 2024-01-03 17:37:48,767 - mmseg - INFO - Iter [36050/38400] lr: 4.610e-05, eta: 0:02:44, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.0787, decode.loss_grad: 0.0000, loss: 0.0787, grad_norm: 0.0218 2024-01-03 17:37:52,063 - mmseg - INFO - Iter [36100/38400] lr: 4.417e-05, eta: 0:02:40, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0794, decode.loss_grad: 0.0000, loss: 0.0794, grad_norm: 0.0233 2024-01-03 17:37:55,355 - mmseg - INFO - Iter [36150/38400] lr: 4.227e-05, eta: 0:02:37, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0788, decode.loss_grad: 0.0000, loss: 0.0788, grad_norm: 0.0234 2024-01-03 17:37:58,650 - mmseg - INFO - Iter [36200/38400] lr: 4.042e-05, eta: 0:02:33, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0777, decode.loss_grad: 0.0000, loss: 0.0777, grad_norm: 0.0223 2024-01-03 17:38:01,942 - mmseg - INFO - Iter [36250/38400] lr: 3.861e-05, eta: 0:02:30, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0790, decode.loss_grad: 0.0000, loss: 0.0790, grad_norm: 0.0223 2024-01-03 17:38:05,231 - mmseg - INFO - Iter [36300/38400] lr: 3.684e-05, eta: 0:02:26, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0773, decode.loss_grad: 0.0000, loss: 0.0773, grad_norm: 0.0211 2024-01-03 17:38:10,629 - mmseg - INFO - Iter [36350/38400] lr: 3.511e-05, eta: 0:02:23, time: 0.108, data_time: 0.043, memory: 940, decode.loss_depth: 0.0790, decode.loss_grad: 0.0000, loss: 0.0790, grad_norm: 0.0217 2024-01-03 17:38:13,929 - mmseg - INFO - Iter [36400/38400] lr: 3.343e-05, eta: 0:02:19, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0776, decode.loss_grad: 0.0000, loss: 0.0776, grad_norm: 0.0217 2024-01-03 17:38:17,203 - mmseg - INFO - Iter [36450/38400] lr: 3.178e-05, eta: 0:02:16, time: 0.065, data_time: 0.002, memory: 940, decode.loss_depth: 0.0761, decode.loss_grad: 0.0000, loss: 0.0761, grad_norm: 0.0215 2024-01-03 17:38:20,496 - mmseg - INFO - Iter [36500/38400] lr: 3.017e-05, eta: 0:02:12, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0761, decode.loss_grad: 0.0000, loss: 0.0761, grad_norm: 0.0215 2024-01-03 17:38:23,795 - mmseg - INFO - Iter [36550/38400] lr: 2.861e-05, eta: 0:02:09, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0787, decode.loss_grad: 0.0000, loss: 0.0787, grad_norm: 0.0223 2024-01-03 17:38:27,104 - mmseg - INFO - Iter [36600/38400] lr: 2.709e-05, eta: 0:02:05, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0789, decode.loss_grad: 0.0000, loss: 0.0789, grad_norm: 0.0223 2024-01-03 17:38:30,419 - mmseg - INFO - Iter [36650/38400] lr: 2.561e-05, eta: 0:02:02, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0781, decode.loss_grad: 0.0000, loss: 0.0781, grad_norm: 0.0222 2024-01-03 17:38:33,713 - mmseg - INFO - Iter [36700/38400] lr: 2.417e-05, eta: 0:01:58, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0776, decode.loss_grad: 0.0000, loss: 0.0776, grad_norm: 0.0220 2024-01-03 17:38:37,002 - mmseg - INFO - Iter [36750/38400] lr: 2.277e-05, eta: 0:01:55, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0781, decode.loss_grad: 0.0000, loss: 0.0781, grad_norm: 0.0224 2024-01-03 17:38:40,300 - mmseg - INFO - Saving checkpoint at 36800 iterations 2024-01-03 17:38:40,312 - mmseg - INFO - Iter [36800/38400] lr: 2.141e-05, eta: 0:01:51, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0781, decode.loss_grad: 0.0000, loss: 0.0781, grad_norm: 0.0217 2024-01-03 17:38:43,598 - mmseg - INFO - Iter [36850/38400] lr: 2.010e-05, eta: 0:01:48, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0773, decode.loss_grad: 0.0000, loss: 0.0773, grad_norm: 0.0214 2024-01-03 17:38:46,900 - mmseg - INFO - Iter [36900/38400] lr: 1.883e-05, eta: 0:01:44, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0796, decode.loss_grad: 0.0000, loss: 0.0796, grad_norm: 0.0221 2024-01-03 17:38:50,204 - mmseg - INFO - Iter [36950/38400] lr: 1.759e-05, eta: 0:01:41, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0780, decode.loss_grad: 0.0000, loss: 0.0780, grad_norm: 0.0222 2024-01-03 17:38:53,503 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:38:53,503 - mmseg - INFO - Iter [37000/38400] lr: 1.640e-05, eta: 0:01:37, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0769, decode.loss_grad: 0.0000, loss: 0.0769, grad_norm: 0.0221 2024-01-03 17:38:56,792 - mmseg - INFO - Iter [37050/38400] lr: 1.526e-05, eta: 0:01:34, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0768, decode.loss_grad: 0.0000, loss: 0.0768, grad_norm: 0.0219 2024-01-03 17:39:00,081 - mmseg - INFO - Iter [37100/38400] lr: 1.415e-05, eta: 0:01:30, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0794, decode.loss_grad: 0.0000, loss: 0.0794, grad_norm: 0.0223 2024-01-03 17:39:03,462 - mmseg - INFO - Iter [37150/38400] lr: 1.308e-05, eta: 0:01:27, time: 0.068, data_time: 0.002, memory: 940, decode.loss_depth: 0.0769, decode.loss_grad: 0.0000, loss: 0.0769, grad_norm: 0.0227 2024-01-03 17:39:06,777 - mmseg - INFO - Iter [37200/38400] lr: 1.206e-05, eta: 0:01:23, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0783, decode.loss_grad: 0.0000, loss: 0.0783, grad_norm: 0.0229 2024-01-03 17:39:10,075 - mmseg - INFO - Iter [37250/38400] lr: 1.108e-05, eta: 0:01:20, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0788, decode.loss_grad: 0.0000, loss: 0.0788, grad_norm: 0.0219 2024-01-03 17:39:13,368 - mmseg - INFO - Iter [37300/38400] lr: 1.014e-05, eta: 0:01:16, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0783, decode.loss_grad: 0.0000, loss: 0.0783, grad_norm: 0.0228 2024-01-03 17:39:16,651 - mmseg - INFO - Iter [37350/38400] lr: 9.236e-06, eta: 0:01:13, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0799, decode.loss_grad: 0.0000, loss: 0.0799, grad_norm: 0.0228 2024-01-03 17:39:19,952 - mmseg - INFO - Iter [37400/38400] lr: 8.379e-06, eta: 0:01:09, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0779, decode.loss_grad: 0.0000, loss: 0.0779, grad_norm: 0.0217 2024-01-03 17:39:23,289 - mmseg - INFO - Iter [37450/38400] lr: 7.563e-06, eta: 0:01:06, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.0780, decode.loss_grad: 0.0000, loss: 0.0780, grad_norm: 0.0226 2024-01-03 17:39:26,585 - mmseg - INFO - Iter [37500/38400] lr: 6.789e-06, eta: 0:01:02, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0773, decode.loss_grad: 0.0000, loss: 0.0773, grad_norm: 0.0215 2024-01-03 17:39:29,885 - mmseg - INFO - Iter [37550/38400] lr: 6.057e-06, eta: 0:00:59, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0800, decode.loss_grad: 0.0000, loss: 0.0800, grad_norm: 0.0216 2024-01-03 17:39:33,191 - mmseg - INFO - Iter [37600/38400] lr: 5.366e-06, eta: 0:00:55, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0785, decode.loss_grad: 0.0000, loss: 0.0785, grad_norm: 0.0227 2024-01-03 17:39:36,499 - mmseg - INFO - Iter [37650/38400] lr: 4.717e-06, eta: 0:00:52, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0788, decode.loss_grad: 0.0000, loss: 0.0788, grad_norm: 0.0210 2024-01-03 17:39:39,798 - mmseg - INFO - Iter [37700/38400] lr: 4.110e-06, eta: 0:00:48, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0765, decode.loss_grad: 0.0000, loss: 0.0765, grad_norm: 0.0222 2024-01-03 17:39:43,107 - mmseg - INFO - Iter [37750/38400] lr: 3.545e-06, eta: 0:00:45, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0797, decode.loss_grad: 0.0000, loss: 0.0797, grad_norm: 0.0224 2024-01-03 17:39:46,475 - mmseg - INFO - Iter [37800/38400] lr: 3.021e-06, eta: 0:00:41, time: 0.067, data_time: 0.002, memory: 940, decode.loss_depth: 0.0792, decode.loss_grad: 0.0000, loss: 0.0792, grad_norm: 0.0213 2024-01-03 17:39:49,770 - mmseg - INFO - Iter [37850/38400] lr: 2.540e-06, eta: 0:00:38, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0779, decode.loss_grad: 0.0000, loss: 0.0779, grad_norm: 0.0225 2024-01-03 17:39:55,157 - mmseg - INFO - Iter [37900/38400] lr: 2.100e-06, eta: 0:00:34, time: 0.108, data_time: 0.043, memory: 940, decode.loss_depth: 0.0774, decode.loss_grad: 0.0000, loss: 0.0774, grad_norm: 0.0219 2024-01-03 17:39:58,446 - mmseg - INFO - Iter [37950/38400] lr: 1.702e-06, eta: 0:00:31, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0782, decode.loss_grad: 0.0000, loss: 0.0782, grad_norm: 0.0218 2024-01-03 17:40:01,735 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:40:01,735 - mmseg - INFO - Iter [38000/38400] lr: 1.345e-06, eta: 0:00:27, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0794, decode.loss_grad: 0.0000, loss: 0.0794, grad_norm: 0.0220 2024-01-03 17:40:05,021 - mmseg - INFO - Iter [38050/38400] lr: 1.031e-06, eta: 0:00:24, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0774, decode.loss_grad: 0.0000, loss: 0.0774, grad_norm: 0.0224 2024-01-03 17:40:08,398 - mmseg - INFO - Iter [38100/38400] lr: 7.580e-07, eta: 0:00:20, time: 0.068, data_time: 0.002, memory: 940, decode.loss_depth: 0.0765, decode.loss_grad: 0.0000, loss: 0.0765, grad_norm: 0.0207 2024-01-03 17:40:11,706 - mmseg - INFO - Iter [38150/38400] lr: 5.271e-07, eta: 0:00:17, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0762, decode.loss_grad: 0.0000, loss: 0.0762, grad_norm: 0.0223 2024-01-03 17:40:14,997 - mmseg - INFO - Iter [38200/38400] lr: 3.381e-07, eta: 0:00:13, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0778, decode.loss_grad: 0.0000, loss: 0.0778, grad_norm: 0.0219 2024-01-03 17:40:18,396 - mmseg - INFO - Iter [38250/38400] lr: 1.908e-07, eta: 0:00:10, time: 0.068, data_time: 0.002, memory: 940, decode.loss_depth: 0.0762, decode.loss_grad: 0.0000, loss: 0.0762, grad_norm: 0.0217 2024-01-03 17:40:21,710 - mmseg - INFO - Iter [38300/38400] lr: 8.540e-08, eta: 0:00:06, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0775, decode.loss_grad: 0.0000, loss: 0.0775, grad_norm: 0.0230 2024-01-03 17:40:25,000 - mmseg - INFO - Iter [38350/38400] lr: 2.181e-08, eta: 0:00:03, time: 0.066, data_time: 0.002, memory: 940, decode.loss_depth: 0.0781, decode.loss_grad: 0.0000, loss: 0.0781, grad_norm: 0.0222 2024-01-03 17:40:28,388 - mmseg - INFO - Saving checkpoint at 38400 iterations 2024-01-03 17:40:28,403 - mmseg - INFO - Iter [38400/38400] lr: 5.837e-11, eta: 0:00:00, time: 0.068, data_time: 0.002, memory: 940, decode.loss_depth: 0.0802, decode.loss_grad: 0.0000, loss: 0.0802, grad_norm: 0.0218 2024-01-03 17:40:34,983 - mmseg - INFO - Summary: 2024-01-03 17:40:34,984 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.8764 | 0.9865 | 0.9982 | 0.12 | 0.3943 | 0.0493 | 0.1425 | 11.0398 | 0.064 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:40:34,984 - mmseg - INFO - Iter(val) [82] a1: 0.8764, a2: 0.9865, a3: 0.9982, abs_rel: 0.11996373534202576, rmse: 0.3942537307739258, log_10: 0.049267519265413284, rmse_log: 0.14254209399223328, silog: 11.0398, sq_rel: 0.0640358030796051