2024-01-03 21:17:54,984 - mmseg - INFO - Environment info: ------------------------------------------------------------ sys.platform: linux Python: 3.9.18 (main, Sep 11 2023, 13:41:44) [GCC 11.2.0] CUDA available: True GPU 0,1,2,3,4,5,6,7: Tesla V100-SXM2-32GB-LS CUDA_HOME: /usr/local/cuda NVCC: Cuda compilation tools, release 11.3, V11.3.58 GCC: gcc (Ubuntu 9.3.0-17ubuntu1~20.04) 9.3.0 PyTorch: 2.0.0+cu117 PyTorch compiling details: PyTorch built with: - GCC 9.3 - C++ Version: 201703 - Intel(R) oneAPI Math Kernel Library Version 2022.2-Product Build 20220804 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.7.3 (Git Hash 6dbeffbae1f23cbbeae17adb7b5b13f1f37c080e) - OpenMP 201511 (a.k.a. OpenMP 4.5) - LAPACK is enabled (usually provided by MKL) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.7 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 - CuDNN 8.5 - Magma 2.6.1 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.7, CUDNN_VERSION=8.5.0, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_DISABLE_GPU_ASSERTS=ON, TORCH_VERSION=2.0.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=1, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, TorchVision: 0.15.0+cu117 OpenCV: 4.8.1 MMCV: 1.5.0 MMCV Compiler: GCC 9.3 MMCV CUDA Compiler: 11.3 MMSegmentation: 0.27.0+fb51178 ------------------------------------------------------------ 2024-01-03 21:17:54,985 - mmseg - INFO - Distributed training: True 2024-01-03 21:17:54,985 - 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_reg4_dinov2.lvd142m', 'gpu_ids': range(0, 1)} 2024-01-03 21:18:03,762 - mmseg - INFO - Loading backbone from vit_base_patch14_reg4_dinov2.lvd142m 2024-01-03 21:18:04,818 - mmseg - INFO - _IncompatibleKeys(missing_keys=['vit.model.cls_token', 'vit.model.reg_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 21:18:04,821 - mmseg - INFO - pos_embed loaded 2024-01-03 21:18:04,821 - mmseg - INFO - denoiser.norm1.weight loaded 2024-01-03 21:18:04,821 - mmseg - INFO - denoiser.norm1.bias loaded 2024-01-03 21:18:04,822 - mmseg - INFO - denoiser.attn.qkv.weight loaded 2024-01-03 21:18:04,822 - mmseg - INFO - denoiser.attn.qkv.bias loaded 2024-01-03 21:18:04,822 - mmseg - INFO - denoiser.attn.proj.weight loaded 2024-01-03 21:18:04,822 - mmseg - INFO - denoiser.attn.proj.bias loaded 2024-01-03 21:18:04,822 - mmseg - INFO - denoiser.norm2.weight loaded 2024-01-03 21:18:04,822 - mmseg - INFO - denoiser.norm2.bias loaded 2024-01-03 21:18:04,822 - mmseg - INFO - denoiser.mlp.fc1.weight loaded 2024-01-03 21:18:04,822 - mmseg - INFO - denoiser.mlp.fc1.bias loaded 2024-01-03 21:18:04,822 - mmseg - INFO - denoiser.mlp.fc2.weight loaded 2024-01-03 21:18:04,822 - mmseg - INFO - denoiser.mlp.fc2.bias loaded 2024-01-03 21:18:04,886 - mmseg - INFO - DepthEncoderDecoder( (backbone): DinoVisionTransformer() (decode_head): BNHead( align_corners=False (loss_decode): ModuleList( (0): SigLoss() (1): GradientLoss() ) (softmax): Softmax(dim=1) (conv_depth): Conv2d(1536, 256, kernel_size=(1, 1), stride=(1, 1)) (relu): ReLU() (sigmoid): Sigmoid() ) ) 2024-01-03 21:18:05,116 - mmseg - INFO - Loaded 24231 images. Totally 0 invalid pairs are filtered 2024-01-03 21:18:07,682 - mmseg - INFO - Loaded 654 images. Totally 0 invalid pairs are filtered 2024-01-03 21:18:07,683 - mmseg - INFO - Start running, host: root, work_dir: ./work_dirs/depth_eval/nyu_paper/voc10k_distilled/vit_base_patch14_reg4_dinov2.lvd142m 2024-01-03 21:18:07,683 - mmseg - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) CosineAnnealingLrUpdaterHook (HIGH ) OneCycleMomentumUpdaterHook (NORMAL ) CheckpointHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_train_epoch: (VERY_HIGH ) CosineAnnealingLrUpdaterHook (HIGH ) OneCycleMomentumUpdaterHook (LOW ) IterTimerHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_train_iter: (VERY_HIGH ) CosineAnnealingLrUpdaterHook (HIGH ) OneCycleMomentumUpdaterHook (LOW ) IterTimerHook (LOW ) DistEvalHook -------------------- after_train_iter: (ABOVE_NORMAL) OptimizerHook (NORMAL ) CheckpointHook (LOW ) IterTimerHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- after_train_epoch: (NORMAL ) CheckpointHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_val_epoch: (LOW ) IterTimerHook (VERY_LOW ) TextLoggerHook -------------------- before_val_iter: (LOW ) IterTimerHook -------------------- after_val_iter: (LOW ) IterTimerHook -------------------- after_val_epoch: (VERY_LOW ) TextLoggerHook -------------------- after_run: (VERY_LOW ) TextLoggerHook -------------------- 2024-01-03 21:18:07,683 - mmseg - INFO - workflow: [('train', 1)], max: 38400 iters 2024-01-03 21:18:07,683 - mmseg - INFO - Checkpoints will be saved to ./work_dirs/depth_eval/nyu_paper/voc10k_distilled/vit_base_patch14_reg4_dinov2.lvd142m by HardDiskBackend. 2024-01-03 21:18:38,395 - mmseg - INFO - Iter [50/38400] lr: 2.412e-05, eta: 2:18:29, time: 0.217, data_time: 0.009, memory: 940, decode.loss_depth: 0.2433, decode.loss_grad: 0.0000, loss: 0.2433, grad_norm: 0.3753 2024-01-03 21:18:44,794 - mmseg - INFO - Iter [100/38400] lr: 4.363e-05, eta: 1:50:00, time: 0.128, data_time: 0.003, memory: 940, decode.loss_depth: 0.1320, decode.loss_grad: 0.0000, loss: 0.1320, grad_norm: 0.3232 2024-01-03 21:18:51,261 - mmseg - INFO - Iter [150/38400] lr: 6.314e-05, eta: 1:40:43, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.4282, decode.loss_grad: 0.0000, loss: 0.4282, grad_norm: 0.2475 2024-01-03 21:18:57,662 - mmseg - INFO - Iter [200/38400] lr: 8.265e-05, eta: 1:35:49, time: 0.128, data_time: 0.003, memory: 940, decode.loss_depth: 0.3751, decode.loss_grad: 0.0000, loss: 0.3751, grad_norm: 0.2285 2024-01-03 21:19:04,103 - mmseg - INFO - Iter [250/38400] lr: 1.022e-04, eta: 1:32:55, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.3135, decode.loss_grad: 0.0000, loss: 0.3135, grad_norm: 0.2560 2024-01-03 21:19:10,493 - mmseg - INFO - Iter [300/38400] lr: 1.217e-04, eta: 1:30:52, time: 0.128, data_time: 0.003, memory: 940, decode.loss_depth: 0.2631, decode.loss_grad: 0.0000, loss: 0.2631, grad_norm: 0.2473 2024-01-03 21:19:16,939 - mmseg - INFO - Iter [350/38400] lr: 1.412e-04, eta: 1:29:28, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.2365, decode.loss_grad: 0.0000, loss: 0.2365, grad_norm: 0.2526 2024-01-03 21:19:23,398 - mmseg - INFO - Iter [400/38400] lr: 1.607e-04, eta: 1:28:24, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.2142, decode.loss_grad: 0.0000, loss: 0.2142, grad_norm: 0.2344 2024-01-03 21:19:29,821 - mmseg - INFO - Iter [450/38400] lr: 1.802e-04, eta: 1:27:30, time: 0.128, data_time: 0.003, memory: 940, decode.loss_depth: 0.2018, decode.loss_grad: 0.0000, loss: 0.2018, grad_norm: 0.2326 2024-01-03 21:19:36,173 - mmseg - INFO - Iter [500/38400] lr: 1.996e-04, eta: 1:26:40, time: 0.127, data_time: 0.003, memory: 940, decode.loss_depth: 0.1998, decode.loss_grad: 0.0000, loss: 0.1998, grad_norm: 0.2374 2024-01-03 21:19:42,583 - mmseg - INFO - Iter [550/38400] lr: 2.191e-04, eta: 1:26:02, time: 0.128, data_time: 0.003, memory: 940, decode.loss_depth: 0.1939, decode.loss_grad: 0.0000, loss: 0.1939, grad_norm: 0.2248 2024-01-03 21:19:48,998 - mmseg - INFO - Iter [600/38400] lr: 2.386e-04, eta: 1:25:30, time: 0.128, data_time: 0.003, memory: 940, decode.loss_depth: 0.1805, decode.loss_grad: 0.0000, loss: 0.1805, grad_norm: 0.2267 2024-01-03 21:19:55,421 - mmseg - INFO - Iter [650/38400] lr: 2.581e-04, eta: 1:25:02, time: 0.128, data_time: 0.003, memory: 940, decode.loss_depth: 0.1821, decode.loss_grad: 0.0000, loss: 0.1821, grad_norm: 0.2206 2024-01-03 21:20:01,855 - mmseg - INFO - Iter [700/38400] lr: 2.775e-04, eta: 1:24:38, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1753, decode.loss_grad: 0.0000, loss: 0.1753, grad_norm: 0.2111 2024-01-03 21:20:08,345 - mmseg - INFO - Iter [750/38400] lr: 2.970e-04, eta: 1:24:19, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1659, decode.loss_grad: 0.0000, loss: 0.1659, grad_norm: 0.1998 2024-01-03 21:20:14,769 - mmseg - INFO - Iter [800/38400] lr: 3.165e-04, eta: 1:23:58, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1693, decode.loss_grad: 0.0000, loss: 0.1693, grad_norm: 0.2003 2024-01-03 21:20:21,156 - mmseg - INFO - Iter [850/38400] lr: 3.359e-04, eta: 1:23:38, time: 0.128, data_time: 0.003, memory: 940, decode.loss_depth: 0.1622, decode.loss_grad: 0.0000, loss: 0.1622, grad_norm: 0.2036 2024-01-03 21:20:27,605 - mmseg - INFO - Iter [900/38400] lr: 3.553e-04, eta: 1:23:21, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1615, decode.loss_grad: 0.0000, loss: 0.1615, grad_norm: 0.1966 2024-01-03 21:20:34,033 - mmseg - INFO - Iter [950/38400] lr: 3.748e-04, eta: 1:23:05, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1592, decode.loss_grad: 0.0000, loss: 0.1592, grad_norm: 0.1835 2024-01-03 21:20:40,477 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:20:40,477 - mmseg - INFO - Iter [1000/38400] lr: 3.942e-04, eta: 1:22:50, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1553, decode.loss_grad: 0.0000, loss: 0.1553, grad_norm: 0.1863 2024-01-03 21:20:46,911 - mmseg - INFO - Iter [1050/38400] lr: 4.136e-04, eta: 1:22:36, time: 0.129, data_time: 0.004, memory: 940, decode.loss_depth: 0.1550, decode.loss_grad: 0.0000, loss: 0.1550, grad_norm: 0.1961 2024-01-03 21:20:53,335 - mmseg - INFO - Iter [1100/38400] lr: 4.330e-04, eta: 1:22:22, time: 0.128, data_time: 0.003, memory: 940, decode.loss_depth: 0.1538, decode.loss_grad: 0.0000, loss: 0.1538, grad_norm: 0.1760 2024-01-03 21:20:59,737 - mmseg - INFO - Iter [1150/38400] lr: 4.524e-04, eta: 1:22:09, time: 0.128, data_time: 0.004, memory: 940, decode.loss_depth: 0.1546, decode.loss_grad: 0.0000, loss: 0.1546, grad_norm: 0.1878 2024-01-03 21:21:06,158 - mmseg - INFO - Iter [1200/38400] lr: 4.718e-04, eta: 1:21:56, time: 0.128, data_time: 0.003, memory: 940, decode.loss_depth: 0.1464, decode.loss_grad: 0.0000, loss: 0.1464, grad_norm: 0.1800 2024-01-03 21:21:12,651 - mmseg - INFO - Iter [1250/38400] lr: 4.911e-04, eta: 1:21:46, time: 0.130, data_time: 0.004, memory: 940, decode.loss_depth: 0.1531, decode.loss_grad: 0.0000, loss: 0.1531, grad_norm: 0.1804 2024-01-03 21:21:19,050 - mmseg - INFO - Iter [1300/38400] lr: 5.105e-04, eta: 1:21:33, time: 0.128, data_time: 0.003, memory: 940, decode.loss_depth: 0.1502, decode.loss_grad: 0.0000, loss: 0.1502, grad_norm: 0.1777 2024-01-03 21:21:25,506 - mmseg - INFO - Iter [1350/38400] lr: 5.298e-04, eta: 1:21:23, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1489, decode.loss_grad: 0.0000, loss: 0.1489, grad_norm: 0.1741 2024-01-03 21:21:31,967 - mmseg - INFO - Iter [1400/38400] lr: 5.491e-04, eta: 1:21:13, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1468, decode.loss_grad: 0.0000, loss: 0.1468, grad_norm: 0.1721 2024-01-03 21:21:38,435 - mmseg - INFO - Iter [1450/38400] lr: 5.684e-04, eta: 1:21:03, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1427, decode.loss_grad: 0.0000, loss: 0.1427, grad_norm: 0.1696 2024-01-03 21:21:44,848 - mmseg - INFO - Iter [1500/38400] lr: 5.877e-04, eta: 1:20:53, time: 0.128, data_time: 0.003, memory: 940, decode.loss_depth: 0.1423, decode.loss_grad: 0.0000, loss: 0.1423, grad_norm: 0.1630 2024-01-03 21:21:53,464 - mmseg - INFO - Iter [1550/38400] lr: 6.070e-04, eta: 1:21:34, time: 0.172, data_time: 0.048, memory: 940, decode.loss_depth: 0.1424, decode.loss_grad: 0.0000, loss: 0.1424, grad_norm: 0.1690 2024-01-03 21:21:59,979 - mmseg - INFO - Saving checkpoint at 1600 iterations 2024-01-03 21:22:00,001 - mmseg - INFO - Iter [1600/38400] lr: 6.263e-04, eta: 1:21:25, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1416, decode.loss_grad: 0.0000, loss: 0.1416, grad_norm: 0.1592 2024-01-03 21:22:06,473 - mmseg - INFO - Iter [1650/38400] lr: 6.456e-04, eta: 1:21:15, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1397, decode.loss_grad: 0.0000, loss: 0.1397, grad_norm: 0.1600 2024-01-03 21:22:12,906 - mmseg - INFO - Iter [1700/38400] lr: 6.648e-04, eta: 1:21:04, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1386, decode.loss_grad: 0.0000, loss: 0.1386, grad_norm: 0.1638 2024-01-03 21:22:19,450 - mmseg - INFO - Iter [1750/38400] lr: 6.840e-04, eta: 1:20:56, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1443, decode.loss_grad: 0.0000, loss: 0.1443, grad_norm: 0.1676 2024-01-03 21:22:25,995 - mmseg - INFO - Iter [1800/38400] lr: 7.032e-04, eta: 1:20:47, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1369, decode.loss_grad: 0.0000, loss: 0.1369, grad_norm: 0.1516 2024-01-03 21:22:32,558 - mmseg - INFO - Iter [1850/38400] lr: 7.224e-04, eta: 1:20:40, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1423, decode.loss_grad: 0.0000, loss: 0.1423, grad_norm: 0.1509 2024-01-03 21:22:39,076 - mmseg - INFO - Iter [1900/38400] lr: 7.416e-04, eta: 1:20:31, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1384, decode.loss_grad: 0.0000, loss: 0.1384, grad_norm: 0.1522 2024-01-03 21:22:45,599 - mmseg - INFO - Iter [1950/38400] lr: 7.607e-04, eta: 1:20:23, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1329, decode.loss_grad: 0.0000, loss: 0.1329, grad_norm: 0.1431 2024-01-03 21:22:52,239 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:22:52,239 - mmseg - INFO - Iter [2000/38400] lr: 7.798e-04, eta: 1:20:16, time: 0.133, data_time: 0.003, memory: 940, decode.loss_depth: 0.1357, decode.loss_grad: 0.0000, loss: 0.1357, grad_norm: 0.1372 2024-01-03 21:22:58,716 - mmseg - INFO - Iter [2050/38400] lr: 7.990e-04, eta: 1:20:07, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1358, decode.loss_grad: 0.0000, loss: 0.1358, grad_norm: 0.1427 2024-01-03 21:23:05,247 - mmseg - INFO - Iter [2100/38400] lr: 8.180e-04, eta: 1:19:59, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1349, decode.loss_grad: 0.0000, loss: 0.1349, grad_norm: 0.1483 2024-01-03 21:23:11,781 - mmseg - INFO - Iter [2150/38400] lr: 8.371e-04, eta: 1:19:51, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1362, decode.loss_grad: 0.0000, loss: 0.1362, grad_norm: 0.1480 2024-01-03 21:23:18,295 - mmseg - INFO - Iter [2200/38400] lr: 8.562e-04, eta: 1:19:43, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1329, decode.loss_grad: 0.0000, loss: 0.1329, grad_norm: 0.1357 2024-01-03 21:23:24,764 - mmseg - INFO - Iter [2250/38400] lr: 8.752e-04, eta: 1:19:34, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1349, decode.loss_grad: 0.0000, loss: 0.1349, grad_norm: 0.1433 2024-01-03 21:23:31,245 - mmseg - INFO - Iter [2300/38400] lr: 8.942e-04, eta: 1:19:26, time: 0.130, data_time: 0.004, memory: 940, decode.loss_depth: 0.1347, decode.loss_grad: 0.0000, loss: 0.1347, grad_norm: 0.1362 2024-01-03 21:23:37,750 - mmseg - INFO - Iter [2350/38400] lr: 9.132e-04, eta: 1:19:18, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1346, decode.loss_grad: 0.0000, loss: 0.1346, grad_norm: 0.1386 2024-01-03 21:23:44,229 - mmseg - INFO - Iter [2400/38400] lr: 9.321e-04, eta: 1:19:09, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1325, decode.loss_grad: 0.0000, loss: 0.1325, grad_norm: 0.1362 2024-01-03 21:23:50,719 - mmseg - INFO - Iter [2450/38400] lr: 9.511e-04, eta: 1:19:01, time: 0.130, data_time: 0.004, memory: 940, decode.loss_depth: 0.1310, decode.loss_grad: 0.0000, loss: 0.1310, grad_norm: 0.1250 2024-01-03 21:23:57,274 - mmseg - INFO - Iter [2500/38400] lr: 9.700e-04, eta: 1:18:54, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1338, decode.loss_grad: 0.0000, loss: 0.1338, grad_norm: 0.1287 2024-01-03 21:24:03,790 - mmseg - INFO - Iter [2550/38400] lr: 9.889e-04, eta: 1:18:46, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1291, decode.loss_grad: 0.0000, loss: 0.1291, grad_norm: 0.1225 2024-01-03 21:24:10,342 - mmseg - INFO - Iter [2600/38400] lr: 1.008e-03, eta: 1:18:39, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1275, decode.loss_grad: 0.0000, loss: 0.1275, grad_norm: 0.1285 2024-01-03 21:24:16,907 - mmseg - INFO - Iter [2650/38400] lr: 1.027e-03, eta: 1:18:32, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1352, decode.loss_grad: 0.0000, loss: 0.1352, grad_norm: 0.1360 2024-01-03 21:24:23,408 - mmseg - INFO - Iter [2700/38400] lr: 1.045e-03, eta: 1:18:24, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1312, decode.loss_grad: 0.0000, loss: 0.1312, grad_norm: 0.1250 2024-01-03 21:24:29,891 - mmseg - INFO - Iter [2750/38400] lr: 1.064e-03, eta: 1:18:16, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1280, decode.loss_grad: 0.0000, loss: 0.1280, grad_norm: 0.1227 2024-01-03 21:24:36,486 - mmseg - INFO - Iter [2800/38400] lr: 1.083e-03, eta: 1:18:10, time: 0.132, data_time: 0.003, memory: 940, decode.loss_depth: 0.1308, decode.loss_grad: 0.0000, loss: 0.1308, grad_norm: 0.1376 2024-01-03 21:24:43,015 - mmseg - INFO - Iter [2850/38400] lr: 1.102e-03, eta: 1:18:03, time: 0.131, data_time: 0.004, memory: 940, decode.loss_depth: 0.1294, decode.loss_grad: 0.0000, loss: 0.1294, grad_norm: 0.1238 2024-01-03 21:24:49,496 - mmseg - INFO - Iter [2900/38400] lr: 1.120e-03, eta: 1:17:55, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1291, decode.loss_grad: 0.0000, loss: 0.1291, grad_norm: 0.1171 2024-01-03 21:24:56,027 - mmseg - INFO - Iter [2950/38400] lr: 1.139e-03, eta: 1:17:47, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1281, decode.loss_grad: 0.0000, loss: 0.1281, grad_norm: 0.1206 2024-01-03 21:25:02,569 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:25:02,570 - mmseg - INFO - Iter [3000/38400] lr: 1.158e-03, eta: 1:17:40, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1234, decode.loss_grad: 0.0000, loss: 0.1234, grad_norm: 0.1130 2024-01-03 21:25:11,203 - mmseg - INFO - Iter [3050/38400] lr: 1.176e-03, eta: 1:17:58, time: 0.173, data_time: 0.045, memory: 940, decode.loss_depth: 0.1262, decode.loss_grad: 0.0000, loss: 0.1262, grad_norm: 0.1177 2024-01-03 21:25:17,761 - mmseg - INFO - Iter [3100/38400] lr: 1.195e-03, eta: 1:17:50, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1280, decode.loss_grad: 0.0000, loss: 0.1280, grad_norm: 0.1155 2024-01-03 21:25:24,280 - mmseg - INFO - Iter [3150/38400] lr: 1.213e-03, eta: 1:17:43, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1232, decode.loss_grad: 0.0000, loss: 0.1232, grad_norm: 0.1134 2024-01-03 21:25:30,808 - mmseg - INFO - Saving checkpoint at 3200 iterations 2024-01-03 21:25:30,843 - mmseg - INFO - Iter [3200/38400] lr: 1.232e-03, eta: 1:17:35, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1245, decode.loss_grad: 0.0000, loss: 0.1245, grad_norm: 0.1124 2024-01-03 21:25:55,216 - mmseg - INFO - Summary: 2024-01-03 21:25:55,217 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.8462 | 0.9816 | 0.9973 | 0.1335 | 0.4336 | 0.055 | 0.1567 | 11.8091 | 0.0786 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 21:25:55,234 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_3200.pth. 2024-01-03 21:25:55,235 - mmseg - INFO - Best abs_rel is 0.1335 at 3200 iter. 2024-01-03 21:25:55,235 - mmseg - INFO - Iter(val) [82] a1: 0.8462, a2: 0.9816, a3: 0.9973, abs_rel: 0.133453369140625, rmse: 0.43356725573539734, log_10: 0.055009253323078156, rmse_log: 0.15671762824058533, silog: 11.8091, sq_rel: 0.07858133316040039 2024-01-03 21:26:01,756 - mmseg - INFO - Iter [3250/38400] lr: 1.251e-03, eta: 1:21:52, time: 0.618, data_time: 0.491, memory: 940, decode.loss_depth: 0.1245, decode.loss_grad: 0.0000, loss: 0.1245, grad_norm: 0.1096 2024-01-03 21:26:08,246 - mmseg - INFO - Iter [3300/38400] lr: 1.269e-03, eta: 1:21:39, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1259, decode.loss_grad: 0.0000, loss: 0.1259, grad_norm: 0.1137 2024-01-03 21:26:14,724 - mmseg - INFO - Iter [3350/38400] lr: 1.287e-03, eta: 1:21:27, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1246, decode.loss_grad: 0.0000, loss: 0.1246, grad_norm: 0.1038 2024-01-03 21:26:21,273 - mmseg - INFO - Iter [3400/38400] lr: 1.306e-03, eta: 1:21:16, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1244, decode.loss_grad: 0.0000, loss: 0.1244, grad_norm: 0.1091 2024-01-03 21:26:27,778 - mmseg - INFO - Iter [3450/38400] lr: 1.324e-03, eta: 1:21:04, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1277, decode.loss_grad: 0.0000, loss: 0.1277, grad_norm: 0.1113 2024-01-03 21:26:34,341 - mmseg - INFO - Iter [3500/38400] lr: 1.343e-03, eta: 1:20:53, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1258, decode.loss_grad: 0.0000, loss: 0.1258, grad_norm: 0.1104 2024-01-03 21:26:40,819 - mmseg - INFO - Iter [3550/38400] lr: 1.361e-03, eta: 1:20:42, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1251, decode.loss_grad: 0.0000, loss: 0.1251, grad_norm: 0.1060 2024-01-03 21:26:47,230 - mmseg - INFO - Iter [3600/38400] lr: 1.379e-03, eta: 1:20:29, time: 0.128, data_time: 0.003, memory: 940, decode.loss_depth: 0.1244, decode.loss_grad: 0.0000, loss: 0.1244, grad_norm: 0.0981 2024-01-03 21:26:53,684 - mmseg - INFO - Iter [3650/38400] lr: 1.397e-03, eta: 1:20:18, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1223, decode.loss_grad: 0.0000, loss: 0.1223, grad_norm: 0.1011 2024-01-03 21:27:00,179 - mmseg - INFO - Iter [3700/38400] lr: 1.416e-03, eta: 1:20:07, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1264, decode.loss_grad: 0.0000, loss: 0.1264, grad_norm: 0.1059 2024-01-03 21:27:06,693 - mmseg - INFO - Iter [3750/38400] lr: 1.434e-03, eta: 1:19:56, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1211, decode.loss_grad: 0.0000, loss: 0.1211, grad_norm: 0.1003 2024-01-03 21:27:13,172 - mmseg - INFO - Iter [3800/38400] lr: 1.452e-03, eta: 1:19:45, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1241, decode.loss_grad: 0.0000, loss: 0.1241, grad_norm: 0.0998 2024-01-03 21:27:19,647 - mmseg - INFO - Iter [3850/38400] lr: 1.470e-03, eta: 1:19:34, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1217, decode.loss_grad: 0.0000, loss: 0.1217, grad_norm: 0.0984 2024-01-03 21:27:26,163 - mmseg - INFO - Iter [3900/38400] lr: 1.488e-03, eta: 1:19:24, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1234, decode.loss_grad: 0.0000, loss: 0.1234, grad_norm: 0.0949 2024-01-03 21:27:32,670 - mmseg - INFO - Iter [3950/38400] lr: 1.506e-03, eta: 1:19:14, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1223, decode.loss_grad: 0.0000, loss: 0.1223, grad_norm: 0.0934 2024-01-03 21:27:39,127 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:27:39,128 - mmseg - INFO - Iter [4000/38400] lr: 1.524e-03, eta: 1:19:03, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1190, decode.loss_grad: 0.0000, loss: 0.1190, grad_norm: 0.0961 2024-01-03 21:27:45,684 - mmseg - INFO - Iter [4050/38400] lr: 1.542e-03, eta: 1:18:53, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1211, decode.loss_grad: 0.0000, loss: 0.1211, grad_norm: 0.0987 2024-01-03 21:27:52,193 - mmseg - INFO - Iter [4100/38400] lr: 1.560e-03, eta: 1:18:43, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1221, decode.loss_grad: 0.0000, loss: 0.1221, grad_norm: 0.1001 2024-01-03 21:27:58,696 - mmseg - INFO - Iter [4150/38400] lr: 1.578e-03, eta: 1:18:33, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1237, decode.loss_grad: 0.0000, loss: 0.1237, grad_norm: 0.0950 2024-01-03 21:28:05,222 - mmseg - INFO - Iter [4200/38400] lr: 1.596e-03, eta: 1:18:23, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1226, decode.loss_grad: 0.0000, loss: 0.1226, grad_norm: 0.0938 2024-01-03 21:28:11,747 - mmseg - INFO - Iter [4250/38400] lr: 1.613e-03, eta: 1:18:13, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1175, decode.loss_grad: 0.0000, loss: 0.1175, grad_norm: 0.0867 2024-01-03 21:28:18,256 - mmseg - INFO - Iter [4300/38400] lr: 1.631e-03, eta: 1:18:04, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1208, decode.loss_grad: 0.0000, loss: 0.1208, grad_norm: 0.0924 2024-01-03 21:28:24,719 - mmseg - INFO - Iter [4350/38400] lr: 1.649e-03, eta: 1:17:54, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1174, decode.loss_grad: 0.0000, loss: 0.1174, grad_norm: 0.0849 2024-01-03 21:28:31,215 - mmseg - INFO - Iter [4400/38400] lr: 1.666e-03, eta: 1:17:44, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1199, decode.loss_grad: 0.0000, loss: 0.1199, grad_norm: 0.0886 2024-01-03 21:28:37,691 - mmseg - INFO - Iter [4450/38400] lr: 1.684e-03, eta: 1:17:34, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1219, decode.loss_grad: 0.0000, loss: 0.1219, grad_norm: 0.0861 2024-01-03 21:28:44,285 - mmseg - INFO - Iter [4500/38400] lr: 1.702e-03, eta: 1:17:25, time: 0.132, data_time: 0.003, memory: 940, decode.loss_depth: 0.1210, decode.loss_grad: 0.0000, loss: 0.1210, grad_norm: 0.0892 2024-01-03 21:28:52,966 - mmseg - INFO - Iter [4550/38400] lr: 1.719e-03, eta: 1:17:32, time: 0.174, data_time: 0.045, memory: 940, decode.loss_depth: 0.1164, decode.loss_grad: 0.0000, loss: 0.1164, grad_norm: 0.0849 2024-01-03 21:28:59,447 - mmseg - INFO - Iter [4600/38400] lr: 1.737e-03, eta: 1:17:22, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1192, decode.loss_grad: 0.0000, loss: 0.1192, grad_norm: 0.0850 2024-01-03 21:29:05,915 - mmseg - INFO - Iter [4650/38400] lr: 1.754e-03, eta: 1:17:13, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1236, decode.loss_grad: 0.0000, loss: 0.1236, grad_norm: 0.0897 2024-01-03 21:29:12,443 - mmseg - INFO - Iter [4700/38400] lr: 1.772e-03, eta: 1:17:03, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1196, decode.loss_grad: 0.0000, loss: 0.1196, grad_norm: 0.0834 2024-01-03 21:29:18,883 - mmseg - INFO - Iter [4750/38400] lr: 1.789e-03, eta: 1:16:53, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1188, decode.loss_grad: 0.0000, loss: 0.1188, grad_norm: 0.0862 2024-01-03 21:29:25,432 - mmseg - INFO - Saving checkpoint at 4800 iterations 2024-01-03 21:29:25,452 - mmseg - INFO - Iter [4800/38400] lr: 1.806e-03, eta: 1:16:45, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1192, decode.loss_grad: 0.0000, loss: 0.1192, grad_norm: 0.0828 2024-01-03 21:29:32,002 - mmseg - INFO - Iter [4850/38400] lr: 1.824e-03, eta: 1:16:36, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1177, decode.loss_grad: 0.0000, loss: 0.1177, grad_norm: 0.0789 2024-01-03 21:29:38,499 - mmseg - INFO - Iter [4900/38400] lr: 1.841e-03, eta: 1:16:26, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1163, decode.loss_grad: 0.0000, loss: 0.1163, grad_norm: 0.0780 2024-01-03 21:29:44,967 - mmseg - INFO - Iter [4950/38400] lr: 1.858e-03, eta: 1:16:17, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1165, decode.loss_grad: 0.0000, loss: 0.1165, grad_norm: 0.0797 2024-01-03 21:29:51,437 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:29:51,437 - mmseg - INFO - Iter [5000/38400] lr: 1.875e-03, eta: 1:16:08, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1157, decode.loss_grad: 0.0000, loss: 0.1157, grad_norm: 0.0791 2024-01-03 21:29:57,959 - mmseg - INFO - Iter [5050/38400] lr: 1.892e-03, eta: 1:15:59, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1154, decode.loss_grad: 0.0000, loss: 0.1154, grad_norm: 0.0811 2024-01-03 21:30:04,478 - mmseg - INFO - Iter [5100/38400] lr: 1.909e-03, eta: 1:15:50, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1196, decode.loss_grad: 0.0000, loss: 0.1196, grad_norm: 0.0808 2024-01-03 21:30:10,955 - mmseg - INFO - Iter [5150/38400] lr: 1.926e-03, eta: 1:15:41, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1170, decode.loss_grad: 0.0000, loss: 0.1170, grad_norm: 0.0779 2024-01-03 21:30:17,513 - mmseg - INFO - Iter [5200/38400] lr: 1.943e-03, eta: 1:15:32, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1213, decode.loss_grad: 0.0000, loss: 0.1213, grad_norm: 0.0823 2024-01-03 21:30:23,952 - mmseg - INFO - Iter [5250/38400] lr: 1.960e-03, eta: 1:15:23, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1177, decode.loss_grad: 0.0000, loss: 0.1177, grad_norm: 0.0760 2024-01-03 21:30:30,410 - mmseg - INFO - Iter [5300/38400] lr: 1.977e-03, eta: 1:15:14, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1198, decode.loss_grad: 0.0000, loss: 0.1198, grad_norm: 0.0803 2024-01-03 21:30:36,886 - mmseg - INFO - Iter [5350/38400] lr: 1.994e-03, eta: 1:15:05, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1142, decode.loss_grad: 0.0000, loss: 0.1142, grad_norm: 0.0715 2024-01-03 21:30:43,378 - mmseg - INFO - Iter [5400/38400] lr: 2.011e-03, eta: 1:14:56, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1164, decode.loss_grad: 0.0000, loss: 0.1164, grad_norm: 0.0736 2024-01-03 21:30:49,858 - mmseg - INFO - Iter [5450/38400] lr: 2.027e-03, eta: 1:14:47, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1150, decode.loss_grad: 0.0000, loss: 0.1150, grad_norm: 0.0757 2024-01-03 21:30:56,332 - mmseg - INFO - Iter [5500/38400] lr: 2.044e-03, eta: 1:14:38, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1172, decode.loss_grad: 0.0000, loss: 0.1172, grad_norm: 0.0740 2024-01-03 21:31:02,898 - mmseg - INFO - Iter [5550/38400] lr: 2.060e-03, eta: 1:14:30, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1157, decode.loss_grad: 0.0000, loss: 0.1157, grad_norm: 0.0750 2024-01-03 21:31:09,498 - mmseg - INFO - Iter [5600/38400] lr: 2.077e-03, eta: 1:14:22, time: 0.132, data_time: 0.003, memory: 940, decode.loss_depth: 0.1166, decode.loss_grad: 0.0000, loss: 0.1166, grad_norm: 0.0717 2024-01-03 21:31:16,054 - mmseg - INFO - Iter [5650/38400] lr: 2.094e-03, eta: 1:14:14, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1164, decode.loss_grad: 0.0000, loss: 0.1164, grad_norm: 0.0733 2024-01-03 21:31:22,576 - mmseg - INFO - Iter [5700/38400] lr: 2.110e-03, eta: 1:14:05, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1144, decode.loss_grad: 0.0000, loss: 0.1144, grad_norm: 0.0714 2024-01-03 21:31:29,079 - mmseg - INFO - Iter [5750/38400] lr: 2.126e-03, eta: 1:13:57, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1166, decode.loss_grad: 0.0000, loss: 0.1166, grad_norm: 0.0674 2024-01-03 21:31:35,606 - mmseg - INFO - Iter [5800/38400] lr: 2.143e-03, eta: 1:13:49, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1147, decode.loss_grad: 0.0000, loss: 0.1147, grad_norm: 0.0662 2024-01-03 21:31:42,112 - mmseg - INFO - Iter [5850/38400] lr: 2.159e-03, eta: 1:13:40, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1170, decode.loss_grad: 0.0000, loss: 0.1170, grad_norm: 0.0681 2024-01-03 21:31:48,568 - mmseg - INFO - Iter [5900/38400] lr: 2.175e-03, eta: 1:13:32, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1138, decode.loss_grad: 0.0000, loss: 0.1138, grad_norm: 0.0644 2024-01-03 21:31:55,093 - mmseg - INFO - Iter [5950/38400] lr: 2.191e-03, eta: 1:13:23, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1161, decode.loss_grad: 0.0000, loss: 0.1161, grad_norm: 0.0709 2024-01-03 21:32:01,606 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:32:01,607 - mmseg - INFO - Iter [6000/38400] lr: 2.208e-03, eta: 1:13:15, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1156, decode.loss_grad: 0.0000, loss: 0.1156, grad_norm: 0.0666 2024-01-03 21:32:08,142 - mmseg - INFO - Iter [6050/38400] lr: 2.224e-03, eta: 1:13:07, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1139, decode.loss_grad: 0.0000, loss: 0.1139, grad_norm: 0.0638 2024-01-03 21:32:16,885 - mmseg - INFO - Iter [6100/38400] lr: 2.240e-03, eta: 1:13:11, time: 0.175, data_time: 0.046, memory: 940, decode.loss_depth: 0.1127, decode.loss_grad: 0.0000, loss: 0.1127, grad_norm: 0.0621 2024-01-03 21:32:23,363 - mmseg - INFO - Iter [6150/38400] lr: 2.256e-03, eta: 1:13:02, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1133, decode.loss_grad: 0.0000, loss: 0.1133, grad_norm: 0.0650 2024-01-03 21:32:29,846 - mmseg - INFO - Iter [6200/38400] lr: 2.272e-03, eta: 1:12:54, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1091, decode.loss_grad: 0.0000, loss: 0.1091, grad_norm: 0.0621 2024-01-03 21:32:36,302 - mmseg - INFO - Iter [6250/38400] lr: 2.287e-03, eta: 1:12:45, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1125, decode.loss_grad: 0.0000, loss: 0.1125, grad_norm: 0.0633 2024-01-03 21:32:42,782 - mmseg - INFO - Iter [6300/38400] lr: 2.303e-03, eta: 1:12:37, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1128, decode.loss_grad: 0.0000, loss: 0.1128, grad_norm: 0.0680 2024-01-03 21:32:49,257 - mmseg - INFO - Iter [6350/38400] lr: 2.319e-03, eta: 1:12:29, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1136, decode.loss_grad: 0.0000, loss: 0.1136, grad_norm: 0.0624 2024-01-03 21:32:55,802 - mmseg - INFO - Saving checkpoint at 6400 iterations 2024-01-03 21:32:55,831 - mmseg - INFO - Iter [6400/38400] lr: 2.335e-03, eta: 1:12:21, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1133, decode.loss_grad: 0.0000, loss: 0.1133, grad_norm: 0.0604 2024-01-03 21:33:08,539 - mmseg - INFO - Summary: 2024-01-03 21:33:08,540 - mmseg - INFO - +-------+--------+--------+---------+--------+--------+----------+--------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +-------+--------+--------+---------+--------+--------+----------+--------+--------+ | 0.868 | 0.9866 | 0.9981 | 0.122 | 0.4051 | 0.0509 | 0.1469 | 11.454 | 0.0659 | +-------+--------+--------+---------+--------+--------+----------+--------+--------+ 2024-01-03 21:33:08,542 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/voc10k_distilled/vit_base_patch14_reg4_dinov2.lvd142m/best_abs_rel_iter_3200.pth was removed 2024-01-03 21:33:08,559 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_6400.pth. 2024-01-03 21:33:08,560 - mmseg - INFO - Best abs_rel is 0.1220 at 6400 iter. 2024-01-03 21:33:08,561 - mmseg - INFO - Iter(val) [82] a1: 0.8680, a2: 0.9866, a3: 0.9981, abs_rel: 0.12202318012714386, rmse: 0.40508654713630676, log_10: 0.05093274265527725, rmse_log: 0.14689622819423676, silog: 11.4540, sq_rel: 0.06594192981719971 2024-01-03 21:33:15,127 - mmseg - INFO - Iter [6450/38400] lr: 2.350e-03, eta: 1:13:16, time: 0.386, data_time: 0.258, memory: 940, decode.loss_depth: 0.1101, decode.loss_grad: 0.0000, loss: 0.1101, grad_norm: 0.0589 2024-01-03 21:33:21,603 - mmseg - INFO - Iter [6500/38400] lr: 2.366e-03, eta: 1:13:07, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1119, decode.loss_grad: 0.0000, loss: 0.1119, grad_norm: 0.0601 2024-01-03 21:33:28,045 - mmseg - INFO - Iter [6550/38400] lr: 2.381e-03, eta: 1:12:58, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1118, decode.loss_grad: 0.0000, loss: 0.1118, grad_norm: 0.0598 2024-01-03 21:33:34,533 - mmseg - INFO - Iter [6600/38400] lr: 2.397e-03, eta: 1:12:49, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1116, decode.loss_grad: 0.0000, loss: 0.1116, grad_norm: 0.0616 2024-01-03 21:33:40,991 - mmseg - INFO - Iter [6650/38400] lr: 2.412e-03, eta: 1:12:40, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1144, decode.loss_grad: 0.0000, loss: 0.1144, grad_norm: 0.0598 2024-01-03 21:33:47,455 - mmseg - INFO - Iter [6700/38400] lr: 2.427e-03, eta: 1:12:32, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1140, decode.loss_grad: 0.0000, loss: 0.1140, grad_norm: 0.0606 2024-01-03 21:33:53,982 - mmseg - INFO - Iter [6750/38400] lr: 2.443e-03, eta: 1:12:23, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1125, decode.loss_grad: 0.0000, loss: 0.1125, grad_norm: 0.0587 2024-01-03 21:34:00,492 - mmseg - INFO - Iter [6800/38400] lr: 2.458e-03, eta: 1:12:15, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1095, decode.loss_grad: 0.0000, loss: 0.1095, grad_norm: 0.0582 2024-01-03 21:34:06,961 - mmseg - INFO - Iter [6850/38400] lr: 2.473e-03, eta: 1:12:06, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1147, decode.loss_grad: 0.0000, loss: 0.1147, grad_norm: 0.0597 2024-01-03 21:34:13,446 - mmseg - INFO - Iter [6900/38400] lr: 2.488e-03, eta: 1:11:58, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1122, decode.loss_grad: 0.0000, loss: 0.1122, grad_norm: 0.0571 2024-01-03 21:34:19,946 - mmseg - INFO - Iter [6950/38400] lr: 2.503e-03, eta: 1:11:49, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1109, decode.loss_grad: 0.0000, loss: 0.1109, grad_norm: 0.0559 2024-01-03 21:34:26,452 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:34:26,453 - mmseg - INFO - Iter [7000/38400] lr: 2.518e-03, eta: 1:11:41, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1121, decode.loss_grad: 0.0000, loss: 0.1121, grad_norm: 0.0562 2024-01-03 21:34:33,002 - mmseg - INFO - Iter [7050/38400] lr: 2.533e-03, eta: 1:11:32, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1153, decode.loss_grad: 0.0000, loss: 0.1153, grad_norm: 0.0566 2024-01-03 21:34:39,494 - mmseg - INFO - Iter [7100/38400] lr: 2.548e-03, eta: 1:11:24, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1107, decode.loss_grad: 0.0000, loss: 0.1107, grad_norm: 0.0563 2024-01-03 21:34:45,991 - mmseg - INFO - Iter [7150/38400] lr: 2.563e-03, eta: 1:11:16, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1122, decode.loss_grad: 0.0000, loss: 0.1122, grad_norm: 0.0573 2024-01-03 21:34:52,564 - mmseg - INFO - Iter [7200/38400] lr: 2.577e-03, eta: 1:11:08, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1131, decode.loss_grad: 0.0000, loss: 0.1131, grad_norm: 0.0556 2024-01-03 21:34:59,097 - mmseg - INFO - Iter [7250/38400] lr: 2.592e-03, eta: 1:11:00, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1160, decode.loss_grad: 0.0000, loss: 0.1160, grad_norm: 0.0583 2024-01-03 21:35:05,689 - mmseg - INFO - Iter [7300/38400] lr: 2.606e-03, eta: 1:10:52, time: 0.132, data_time: 0.003, memory: 940, decode.loss_depth: 0.1162, decode.loss_grad: 0.0000, loss: 0.1162, grad_norm: 0.0587 2024-01-03 21:35:12,154 - mmseg - INFO - Iter [7350/38400] lr: 2.621e-03, eta: 1:10:43, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1110, decode.loss_grad: 0.0000, loss: 0.1110, grad_norm: 0.0531 2024-01-03 21:35:18,651 - mmseg - INFO - Iter [7400/38400] lr: 2.635e-03, eta: 1:10:35, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1115, decode.loss_grad: 0.0000, loss: 0.1115, grad_norm: 0.0538 2024-01-03 21:35:25,122 - mmseg - INFO - Iter [7450/38400] lr: 2.650e-03, eta: 1:10:27, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1142, decode.loss_grad: 0.0000, loss: 0.1142, grad_norm: 0.0554 2024-01-03 21:35:31,597 - mmseg - INFO - Iter [7500/38400] lr: 2.664e-03, eta: 1:10:18, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1127, decode.loss_grad: 0.0000, loss: 0.1127, grad_norm: 0.0541 2024-01-03 21:35:38,058 - mmseg - INFO - Iter [7550/38400] lr: 2.678e-03, eta: 1:10:10, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1110, decode.loss_grad: 0.0000, loss: 0.1110, grad_norm: 0.0519 2024-01-03 21:35:46,782 - mmseg - INFO - Iter [7600/38400] lr: 2.693e-03, eta: 1:10:11, time: 0.174, data_time: 0.047, memory: 940, decode.loss_depth: 0.1106, decode.loss_grad: 0.0000, loss: 0.1106, grad_norm: 0.0496 2024-01-03 21:35:53,291 - mmseg - INFO - Iter [7650/38400] lr: 2.707e-03, eta: 1:10:03, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1022, decode.loss_grad: 0.0000, loss: 0.1022, grad_norm: 0.0471 2024-01-03 21:35:59,806 - mmseg - INFO - Iter [7700/38400] lr: 2.721e-03, eta: 1:09:55, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1101, decode.loss_grad: 0.0000, loss: 0.1101, grad_norm: 0.0519 2024-01-03 21:36:06,392 - mmseg - INFO - Iter [7750/38400] lr: 2.735e-03, eta: 1:09:47, time: 0.132, data_time: 0.003, memory: 940, decode.loss_depth: 0.1094, decode.loss_grad: 0.0000, loss: 0.1094, grad_norm: 0.0510 2024-01-03 21:36:12,906 - mmseg - INFO - Iter [7800/38400] lr: 2.749e-03, eta: 1:09:39, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1119, decode.loss_grad: 0.0000, loss: 0.1119, grad_norm: 0.0530 2024-01-03 21:36:19,384 - mmseg - INFO - Iter [7850/38400] lr: 2.762e-03, eta: 1:09:31, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1133, decode.loss_grad: 0.0000, loss: 0.1133, grad_norm: 0.0519 2024-01-03 21:36:25,906 - mmseg - INFO - Iter [7900/38400] lr: 2.776e-03, eta: 1:09:23, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1110, decode.loss_grad: 0.0000, loss: 0.1110, grad_norm: 0.0504 2024-01-03 21:36:32,439 - mmseg - INFO - Iter [7950/38400] lr: 2.790e-03, eta: 1:09:15, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1108, decode.loss_grad: 0.0000, loss: 0.1108, grad_norm: 0.0490 2024-01-03 21:36:38,921 - mmseg - INFO - Saving checkpoint at 8000 iterations 2024-01-03 21:36:38,944 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:36:38,944 - mmseg - INFO - Iter [8000/38400] lr: 2.804e-03, eta: 1:09:07, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1095, decode.loss_grad: 0.0000, loss: 0.1095, grad_norm: 0.0500 2024-01-03 21:36:45,425 - mmseg - INFO - Iter [8050/38400] lr: 2.817e-03, eta: 1:08:58, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1070, decode.loss_grad: 0.0000, loss: 0.1070, grad_norm: 0.0500 2024-01-03 21:36:51,915 - mmseg - INFO - Iter [8100/38400] lr: 2.831e-03, eta: 1:08:50, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1097, decode.loss_grad: 0.0000, loss: 0.1097, grad_norm: 0.0477 2024-01-03 21:36:58,483 - mmseg - INFO - Iter [8150/38400] lr: 2.844e-03, eta: 1:08:43, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1087, decode.loss_grad: 0.0000, loss: 0.1087, grad_norm: 0.0480 2024-01-03 21:37:04,959 - mmseg - INFO - Iter [8200/38400] lr: 2.857e-03, eta: 1:08:35, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1095, decode.loss_grad: 0.0000, loss: 0.1095, grad_norm: 0.0457 2024-01-03 21:37:11,448 - mmseg - INFO - Iter [8250/38400] lr: 2.871e-03, eta: 1:08:27, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1104, decode.loss_grad: 0.0000, loss: 0.1104, grad_norm: 0.0478 2024-01-03 21:37:17,864 - mmseg - INFO - Iter [8300/38400] lr: 2.884e-03, eta: 1:08:18, time: 0.128, data_time: 0.003, memory: 940, decode.loss_depth: 0.1102, decode.loss_grad: 0.0000, loss: 0.1102, grad_norm: 0.0481 2024-01-03 21:37:24,421 - mmseg - INFO - Iter [8350/38400] lr: 2.897e-03, eta: 1:08:11, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1073, decode.loss_grad: 0.0000, loss: 0.1073, grad_norm: 0.0452 2024-01-03 21:37:30,886 - mmseg - INFO - Iter [8400/38400] lr: 2.910e-03, eta: 1:08:03, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1081, decode.loss_grad: 0.0000, loss: 0.1081, grad_norm: 0.0459 2024-01-03 21:37:37,391 - mmseg - INFO - Iter [8450/38400] lr: 2.923e-03, eta: 1:07:55, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1082, decode.loss_grad: 0.0000, loss: 0.1082, grad_norm: 0.0462 2024-01-03 21:37:43,846 - mmseg - INFO - Iter [8500/38400] lr: 2.936e-03, eta: 1:07:47, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1104, decode.loss_grad: 0.0000, loss: 0.1104, grad_norm: 0.0488 2024-01-03 21:37:50,310 - mmseg - INFO - Iter [8550/38400] lr: 2.949e-03, eta: 1:07:39, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1094, decode.loss_grad: 0.0000, loss: 0.1094, grad_norm: 0.0454 2024-01-03 21:37:56,843 - mmseg - INFO - Iter [8600/38400] lr: 2.962e-03, eta: 1:07:31, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1108, decode.loss_grad: 0.0000, loss: 0.1108, grad_norm: 0.0489 2024-01-03 21:38:03,318 - mmseg - INFO - Iter [8650/38400] lr: 2.974e-03, eta: 1:07:23, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1093, decode.loss_grad: 0.0000, loss: 0.1093, grad_norm: 0.0450 2024-01-03 21:38:09,774 - mmseg - INFO - Iter [8700/38400] lr: 2.987e-03, eta: 1:07:15, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1112, decode.loss_grad: 0.0000, loss: 0.1112, grad_norm: 0.0461 2024-01-03 21:38:16,310 - mmseg - INFO - Iter [8750/38400] lr: 3.000e-03, eta: 1:07:08, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1089, decode.loss_grad: 0.0000, loss: 0.1089, grad_norm: 0.0442 2024-01-03 21:38:22,831 - mmseg - INFO - Iter [8800/38400] lr: 3.012e-03, eta: 1:07:00, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1077, decode.loss_grad: 0.0000, loss: 0.1077, grad_norm: 0.0438 2024-01-03 21:38:29,352 - mmseg - INFO - Iter [8850/38400] lr: 3.025e-03, eta: 1:06:52, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1063, decode.loss_grad: 0.0000, loss: 0.1063, grad_norm: 0.0449 2024-01-03 21:38:35,885 - mmseg - INFO - Iter [8900/38400] lr: 3.037e-03, eta: 1:06:44, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1073, decode.loss_grad: 0.0000, loss: 0.1073, grad_norm: 0.0422 2024-01-03 21:38:42,424 - mmseg - INFO - Iter [8950/38400] lr: 3.049e-03, eta: 1:06:37, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1073, decode.loss_grad: 0.0000, loss: 0.1073, grad_norm: 0.0460 2024-01-03 21:38:48,923 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:38:48,923 - mmseg - INFO - Iter [9000/38400] lr: 3.061e-03, eta: 1:06:29, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1094, decode.loss_grad: 0.0000, loss: 0.1094, grad_norm: 0.0446 2024-01-03 21:38:55,472 - mmseg - INFO - Iter [9050/38400] lr: 3.073e-03, eta: 1:06:22, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1079, decode.loss_grad: 0.0000, loss: 0.1079, grad_norm: 0.0425 2024-01-03 21:39:04,113 - mmseg - INFO - Iter [9100/38400] lr: 3.085e-03, eta: 1:06:21, time: 0.173, data_time: 0.046, memory: 940, decode.loss_depth: 0.1058, decode.loss_grad: 0.0000, loss: 0.1058, grad_norm: 0.0425 2024-01-03 21:39:10,611 - mmseg - INFO - Iter [9150/38400] lr: 3.097e-03, eta: 1:06:13, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1077, decode.loss_grad: 0.0000, loss: 0.1077, grad_norm: 0.0428 2024-01-03 21:39:17,106 - mmseg - INFO - Iter [9200/38400] lr: 3.109e-03, eta: 1:06:05, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1058, decode.loss_grad: 0.0000, loss: 0.1058, grad_norm: 0.0429 2024-01-03 21:39:23,562 - mmseg - INFO - Iter [9250/38400] lr: 3.121e-03, eta: 1:05:57, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1070, decode.loss_grad: 0.0000, loss: 0.1070, grad_norm: 0.0423 2024-01-03 21:39:29,989 - mmseg - INFO - Iter [9300/38400] lr: 3.133e-03, eta: 1:05:50, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1058, decode.loss_grad: 0.0000, loss: 0.1058, grad_norm: 0.0415 2024-01-03 21:39:36,580 - mmseg - INFO - Iter [9350/38400] lr: 3.145e-03, eta: 1:05:42, time: 0.132, data_time: 0.003, memory: 940, decode.loss_depth: 0.1056, decode.loss_grad: 0.0000, loss: 0.1056, grad_norm: 0.0437 2024-01-03 21:39:43,074 - mmseg - INFO - Iter [9400/38400] lr: 3.156e-03, eta: 1:05:34, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1068, decode.loss_grad: 0.0000, loss: 0.1068, grad_norm: 0.0394 2024-01-03 21:39:49,542 - mmseg - INFO - Iter [9450/38400] lr: 3.168e-03, eta: 1:05:27, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1082, decode.loss_grad: 0.0000, loss: 0.1082, grad_norm: 0.0418 2024-01-03 21:39:56,052 - mmseg - INFO - Iter [9500/38400] lr: 3.179e-03, eta: 1:05:19, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1082, decode.loss_grad: 0.0000, loss: 0.1082, grad_norm: 0.0410 2024-01-03 21:40:02,520 - mmseg - INFO - Iter [9550/38400] lr: 3.190e-03, eta: 1:05:11, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1048, decode.loss_grad: 0.0000, loss: 0.1048, grad_norm: 0.0405 2024-01-03 21:40:09,026 - mmseg - INFO - Saving checkpoint at 9600 iterations 2024-01-03 21:40:09,052 - mmseg - INFO - Iter [9600/38400] lr: 3.202e-03, eta: 1:05:04, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1082, decode.loss_grad: 0.0000, loss: 0.1082, grad_norm: 0.0421 2024-01-03 21:40:21,763 - mmseg - INFO - Summary: 2024-01-03 21:40:21,766 - mmseg - INFO - +--------+--------+-------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+-------+---------+--------+--------+----------+---------+--------+ | 0.8734 | 0.9866 | 0.998 | 0.119 | 0.3989 | 0.0502 | 0.145 | 11.2978 | 0.0636 | +--------+--------+-------+---------+--------+--------+----------+---------+--------+ 2024-01-03 21:40:21,769 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/voc10k_distilled/vit_base_patch14_reg4_dinov2.lvd142m/best_abs_rel_iter_6400.pth was removed 2024-01-03 21:40:21,787 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_9600.pth. 2024-01-03 21:40:21,787 - mmseg - INFO - Best abs_rel is 0.1190 at 9600 iter. 2024-01-03 21:40:21,787 - mmseg - INFO - Iter(val) [82] a1: 0.8734, a2: 0.9866, a3: 0.9980, abs_rel: 0.11901260167360306, rmse: 0.3989145755767822, log_10: 0.050193026661872864, rmse_log: 0.14504732191562653, silog: 11.2978, sq_rel: 0.06355751305818558 2024-01-03 21:40:28,303 - mmseg - INFO - Iter [9650/38400] lr: 3.213e-03, eta: 1:05:34, time: 0.385, data_time: 0.258, memory: 940, decode.loss_depth: 0.1052, decode.loss_grad: 0.0000, loss: 0.1052, grad_norm: 0.0381 2024-01-03 21:40:34,781 - mmseg - INFO - Iter [9700/38400] lr: 3.224e-03, eta: 1:05:26, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1074, decode.loss_grad: 0.0000, loss: 0.1074, grad_norm: 0.0392 2024-01-03 21:40:41,273 - mmseg - INFO - Iter [9750/38400] lr: 3.235e-03, eta: 1:05:18, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1074, decode.loss_grad: 0.0000, loss: 0.1074, grad_norm: 0.0393 2024-01-03 21:40:47,807 - mmseg - INFO - Iter [9800/38400] lr: 3.246e-03, eta: 1:05:11, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1069, decode.loss_grad: 0.0000, loss: 0.1069, grad_norm: 0.0399 2024-01-03 21:40:54,338 - mmseg - INFO - Iter [9850/38400] lr: 3.257e-03, eta: 1:05:03, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1094, decode.loss_grad: 0.0000, loss: 0.1094, grad_norm: 0.0408 2024-01-03 21:41:00,814 - mmseg - INFO - Iter [9900/38400] lr: 3.268e-03, eta: 1:04:55, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1063, decode.loss_grad: 0.0000, loss: 0.1063, grad_norm: 0.0410 2024-01-03 21:41:07,372 - mmseg - INFO - Iter [9950/38400] lr: 3.278e-03, eta: 1:04:47, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1080, decode.loss_grad: 0.0000, loss: 0.1080, grad_norm: 0.0397 2024-01-03 21:41:13,868 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:41:13,868 - mmseg - INFO - Iter [10000/38400] lr: 3.289e-03, eta: 1:04:40, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1081, decode.loss_grad: 0.0000, loss: 0.1081, grad_norm: 0.0400 2024-01-03 21:41:20,362 - mmseg - INFO - Iter [10050/38400] lr: 3.300e-03, eta: 1:04:32, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1087, decode.loss_grad: 0.0000, loss: 0.1087, grad_norm: 0.0400 2024-01-03 21:41:26,853 - mmseg - INFO - Iter [10100/38400] lr: 3.310e-03, eta: 1:04:24, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1046, decode.loss_grad: 0.0000, loss: 0.1046, grad_norm: 0.0368 2024-01-03 21:41:33,307 - mmseg - INFO - Iter [10150/38400] lr: 3.320e-03, eta: 1:04:16, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1059, decode.loss_grad: 0.0000, loss: 0.1059, grad_norm: 0.0394 2024-01-03 21:41:39,772 - mmseg - INFO - Iter [10200/38400] lr: 3.331e-03, eta: 1:04:08, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1047, decode.loss_grad: 0.0000, loss: 0.1047, grad_norm: 0.0367 2024-01-03 21:41:46,270 - mmseg - INFO - Iter [10250/38400] lr: 3.341e-03, eta: 1:04:01, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1068, decode.loss_grad: 0.0000, loss: 0.1068, grad_norm: 0.0373 2024-01-03 21:41:52,846 - mmseg - INFO - Iter [10300/38400] lr: 3.351e-03, eta: 1:03:53, time: 0.132, data_time: 0.003, memory: 940, decode.loss_depth: 0.1053, decode.loss_grad: 0.0000, loss: 0.1053, grad_norm: 0.0379 2024-01-03 21:41:59,368 - mmseg - INFO - Iter [10350/38400] lr: 3.361e-03, eta: 1:03:46, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1046, decode.loss_grad: 0.0000, loss: 0.1046, grad_norm: 0.0347 2024-01-03 21:42:05,898 - mmseg - INFO - Iter [10400/38400] lr: 3.371e-03, eta: 1:03:38, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1042, decode.loss_grad: 0.0000, loss: 0.1042, grad_norm: 0.0367 2024-01-03 21:42:12,376 - mmseg - INFO - Iter [10450/38400] lr: 3.381e-03, eta: 1:03:30, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1064, decode.loss_grad: 0.0000, loss: 0.1064, grad_norm: 0.0382 2024-01-03 21:42:18,908 - mmseg - INFO - Iter [10500/38400] lr: 3.391e-03, eta: 1:03:23, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1070, decode.loss_grad: 0.0000, loss: 0.1070, grad_norm: 0.0381 2024-01-03 21:42:25,451 - mmseg - INFO - Iter [10550/38400] lr: 3.401e-03, eta: 1:03:15, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1037, decode.loss_grad: 0.0000, loss: 0.1037, grad_norm: 0.0355 2024-01-03 21:42:34,150 - mmseg - INFO - Iter [10600/38400] lr: 3.410e-03, eta: 1:03:13, time: 0.174, data_time: 0.048, memory: 940, decode.loss_depth: 0.1066, decode.loss_grad: 0.0000, loss: 0.1066, grad_norm: 0.0357 2024-01-03 21:42:40,634 - mmseg - INFO - Iter [10650/38400] lr: 3.420e-03, eta: 1:03:06, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1040, decode.loss_grad: 0.0000, loss: 0.1040, grad_norm: 0.0355 2024-01-03 21:42:47,164 - mmseg - INFO - Iter [10700/38400] lr: 3.429e-03, eta: 1:02:58, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1079, decode.loss_grad: 0.0000, loss: 0.1079, grad_norm: 0.0369 2024-01-03 21:42:53,654 - mmseg - INFO - Iter [10750/38400] lr: 3.439e-03, eta: 1:02:50, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1045, decode.loss_grad: 0.0000, loss: 0.1045, grad_norm: 0.0353 2024-01-03 21:43:00,142 - mmseg - INFO - Iter [10800/38400] lr: 3.448e-03, eta: 1:02:43, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1036, decode.loss_grad: 0.0000, loss: 0.1036, grad_norm: 0.0356 2024-01-03 21:43:06,599 - mmseg - INFO - Iter [10850/38400] lr: 3.457e-03, eta: 1:02:35, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1051, decode.loss_grad: 0.0000, loss: 0.1051, grad_norm: 0.0356 2024-01-03 21:43:13,103 - mmseg - INFO - Iter [10900/38400] lr: 3.466e-03, eta: 1:02:27, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1037, decode.loss_grad: 0.0000, loss: 0.1037, grad_norm: 0.0348 2024-01-03 21:43:19,582 - mmseg - INFO - Iter [10950/38400] lr: 3.475e-03, eta: 1:02:20, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1057, decode.loss_grad: 0.0000, loss: 0.1057, grad_norm: 0.0367 2024-01-03 21:43:26,143 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:43:26,143 - mmseg - INFO - Iter [11000/38400] lr: 3.484e-03, eta: 1:02:12, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1006, decode.loss_grad: 0.0000, loss: 0.1006, grad_norm: 0.0336 2024-01-03 21:43:32,747 - mmseg - INFO - Iter [11050/38400] lr: 3.493e-03, eta: 1:02:05, time: 0.132, data_time: 0.003, memory: 940, decode.loss_depth: 0.1047, decode.loss_grad: 0.0000, loss: 0.1047, grad_norm: 0.0339 2024-01-03 21:43:39,234 - mmseg - INFO - Iter [11100/38400] lr: 3.502e-03, eta: 1:01:57, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1033, decode.loss_grad: 0.0000, loss: 0.1033, grad_norm: 0.0338 2024-01-03 21:43:45,705 - mmseg - INFO - Iter [11150/38400] lr: 3.511e-03, eta: 1:01:50, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1014, decode.loss_grad: 0.0000, loss: 0.1014, grad_norm: 0.0335 2024-01-03 21:43:52,220 - mmseg - INFO - Saving checkpoint at 11200 iterations 2024-01-03 21:43:52,242 - mmseg - INFO - Iter [11200/38400] lr: 3.519e-03, eta: 1:01:42, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1040, decode.loss_grad: 0.0000, loss: 0.1040, grad_norm: 0.0338 2024-01-03 21:43:58,700 - mmseg - INFO - Iter [11250/38400] lr: 3.528e-03, eta: 1:01:35, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1020, decode.loss_grad: 0.0000, loss: 0.1020, grad_norm: 0.0353 2024-01-03 21:44:05,211 - mmseg - INFO - Iter [11300/38400] lr: 3.537e-03, eta: 1:01:27, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1079, decode.loss_grad: 0.0000, loss: 0.1079, grad_norm: 0.0343 2024-01-03 21:44:11,702 - mmseg - INFO - Iter [11350/38400] lr: 3.545e-03, eta: 1:01:19, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1025, decode.loss_grad: 0.0000, loss: 0.1025, grad_norm: 0.0332 2024-01-03 21:44:18,260 - mmseg - INFO - Iter [11400/38400] lr: 3.553e-03, eta: 1:01:12, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1022, decode.loss_grad: 0.0000, loss: 0.1022, grad_norm: 0.0328 2024-01-03 21:44:24,760 - mmseg - INFO - Iter [11450/38400] lr: 3.561e-03, eta: 1:01:05, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1039, decode.loss_grad: 0.0000, loss: 0.1039, grad_norm: 0.0336 2024-01-03 21:44:31,219 - mmseg - INFO - Iter [11500/38400] lr: 3.570e-03, eta: 1:00:57, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1058, decode.loss_grad: 0.0000, loss: 0.1058, grad_norm: 0.0344 2024-01-03 21:44:37,773 - mmseg - INFO - Iter [11550/38400] lr: 3.578e-03, eta: 1:00:50, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1037, decode.loss_grad: 0.0000, loss: 0.1037, grad_norm: 0.0342 2024-01-03 21:44:44,205 - mmseg - INFO - Iter [11600/38400] lr: 3.586e-03, eta: 1:00:42, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1037, decode.loss_grad: 0.0000, loss: 0.1037, grad_norm: 0.0332 2024-01-03 21:44:50,767 - mmseg - INFO - Iter [11650/38400] lr: 3.593e-03, eta: 1:00:35, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1067, decode.loss_grad: 0.0000, loss: 0.1067, grad_norm: 0.0344 2024-01-03 21:44:57,258 - mmseg - INFO - Iter [11700/38400] lr: 3.601e-03, eta: 1:00:27, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1021, decode.loss_grad: 0.0000, loss: 0.1021, grad_norm: 0.0333 2024-01-03 21:45:03,826 - mmseg - INFO - Iter [11750/38400] lr: 3.609e-03, eta: 1:00:20, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1057, decode.loss_grad: 0.0000, loss: 0.1057, grad_norm: 0.0340 2024-01-03 21:45:10,398 - mmseg - INFO - Iter [11800/38400] lr: 3.616e-03, eta: 1:00:13, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1033, decode.loss_grad: 0.0000, loss: 0.1033, grad_norm: 0.0330 2024-01-03 21:45:16,890 - mmseg - INFO - Iter [11850/38400] lr: 3.624e-03, eta: 1:00:05, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1036, decode.loss_grad: 0.0000, loss: 0.1036, grad_norm: 0.0325 2024-01-03 21:45:23,420 - mmseg - INFO - Iter [11900/38400] lr: 3.631e-03, eta: 0:59:58, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1045, decode.loss_grad: 0.0000, loss: 0.1045, grad_norm: 0.0320 2024-01-03 21:45:29,893 - mmseg - INFO - Iter [11950/38400] lr: 3.639e-03, eta: 0:59:50, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1022, decode.loss_grad: 0.0000, loss: 0.1022, grad_norm: 0.0308 2024-01-03 21:45:36,447 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:45:36,447 - mmseg - INFO - Iter [12000/38400] lr: 3.646e-03, eta: 0:59:43, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1019, decode.loss_grad: 0.0000, loss: 0.1019, grad_norm: 0.0311 2024-01-03 21:45:42,945 - mmseg - INFO - Iter [12050/38400] lr: 3.653e-03, eta: 0:59:35, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1049, decode.loss_grad: 0.0000, loss: 0.1049, grad_norm: 0.0314 2024-01-03 21:45:49,431 - mmseg - INFO - Iter [12100/38400] lr: 3.660e-03, eta: 0:59:28, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1056, decode.loss_grad: 0.0000, loss: 0.1056, grad_norm: 0.0317 2024-01-03 21:45:58,109 - mmseg - INFO - Iter [12150/38400] lr: 3.667e-03, eta: 0:59:25, time: 0.174, data_time: 0.047, memory: 940, decode.loss_depth: 0.1004, decode.loss_grad: 0.0000, loss: 0.1004, grad_norm: 0.0323 2024-01-03 21:46:04,629 - mmseg - INFO - Iter [12200/38400] lr: 3.674e-03, eta: 0:59:18, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1039, decode.loss_grad: 0.0000, loss: 0.1039, grad_norm: 0.0317 2024-01-03 21:46:11,150 - mmseg - INFO - Iter [12250/38400] lr: 3.681e-03, eta: 0:59:11, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1010, decode.loss_grad: 0.0000, loss: 0.1010, grad_norm: 0.0305 2024-01-03 21:46:17,625 - mmseg - INFO - Iter [12300/38400] lr: 3.688e-03, eta: 0:59:03, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1028, decode.loss_grad: 0.0000, loss: 0.1028, grad_norm: 0.0316 2024-01-03 21:46:24,113 - mmseg - INFO - Iter [12350/38400] lr: 3.694e-03, eta: 0:58:56, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1019, decode.loss_grad: 0.0000, loss: 0.1019, grad_norm: 0.0316 2024-01-03 21:46:30,627 - mmseg - INFO - Iter [12400/38400] lr: 3.701e-03, eta: 0:58:48, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1047, decode.loss_grad: 0.0000, loss: 0.1047, grad_norm: 0.0323 2024-01-03 21:46:37,135 - mmseg - INFO - Iter [12450/38400] lr: 3.707e-03, eta: 0:58:41, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1016, decode.loss_grad: 0.0000, loss: 0.1016, grad_norm: 0.0301 2024-01-03 21:46:43,642 - mmseg - INFO - Iter [12500/38400] lr: 3.714e-03, eta: 0:58:34, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1020, decode.loss_grad: 0.0000, loss: 0.1020, grad_norm: 0.0304 2024-01-03 21:46:50,156 - mmseg - INFO - Iter [12550/38400] lr: 3.720e-03, eta: 0:58:26, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1012, decode.loss_grad: 0.0000, loss: 0.1012, grad_norm: 0.0292 2024-01-03 21:46:56,718 - mmseg - INFO - Iter [12600/38400] lr: 3.726e-03, eta: 0:58:19, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1014, decode.loss_grad: 0.0000, loss: 0.1014, grad_norm: 0.0299 2024-01-03 21:47:03,214 - mmseg - INFO - Iter [12650/38400] lr: 3.732e-03, eta: 0:58:12, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1043, decode.loss_grad: 0.0000, loss: 0.1043, grad_norm: 0.0313 2024-01-03 21:47:09,800 - mmseg - INFO - Iter [12700/38400] lr: 3.738e-03, eta: 0:58:05, time: 0.132, data_time: 0.003, memory: 940, decode.loss_depth: 0.1028, decode.loss_grad: 0.0000, loss: 0.1028, grad_norm: 0.0287 2024-01-03 21:47:16,388 - mmseg - INFO - Iter [12750/38400] lr: 3.744e-03, eta: 0:57:57, time: 0.132, data_time: 0.003, memory: 940, decode.loss_depth: 0.1007, decode.loss_grad: 0.0000, loss: 0.1007, grad_norm: 0.0304 2024-01-03 21:47:22,866 - mmseg - INFO - Saving checkpoint at 12800 iterations 2024-01-03 21:47:22,897 - mmseg - INFO - Iter [12800/38400] lr: 3.750e-03, eta: 0:57:50, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1021, decode.loss_grad: 0.0000, loss: 0.1021, grad_norm: 0.0302 2024-01-03 21:47:35,598 - mmseg - INFO - Summary: 2024-01-03 21:47:35,599 - mmseg - INFO - +--------+--------+-------+---------+--------+--------+----------+--------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+-------+---------+--------+--------+----------+--------+--------+ | 0.8637 | 0.9868 | 0.998 | 0.1239 | 0.4067 | 0.0517 | 0.1485 | 11.308 | 0.0673 | +--------+--------+-------+---------+--------+--------+----------+--------+--------+ 2024-01-03 21:47:35,600 - mmseg - INFO - Iter(val) [82] a1: 0.8637, a2: 0.9868, a3: 0.9980, abs_rel: 0.12393664568662643, rmse: 0.40674710273742676, log_10: 0.05174002796411514, rmse_log: 0.14845973253250122, silog: 11.3080, sq_rel: 0.06730090826749802 2024-01-03 21:47:42,110 - mmseg - INFO - Iter [12850/38400] lr: 3.741e-03, eta: 0:58:08, time: 0.384, data_time: 0.257, memory: 940, decode.loss_depth: 0.1014, decode.loss_grad: 0.0000, loss: 0.1014, grad_norm: 0.0307 2024-01-03 21:47:48,650 - mmseg - INFO - Iter [12900/38400] lr: 3.732e-03, eta: 0:58:01, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1037, decode.loss_grad: 0.0000, loss: 0.1037, grad_norm: 0.0307 2024-01-03 21:47:55,155 - mmseg - INFO - Iter [12950/38400] lr: 3.724e-03, eta: 0:57:53, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0997, decode.loss_grad: 0.0000, loss: 0.0997, grad_norm: 0.0288 2024-01-03 21:48:01,675 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:48:01,675 - mmseg - INFO - Iter [13000/38400] lr: 3.715e-03, eta: 0:57:46, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1029, decode.loss_grad: 0.0000, loss: 0.1029, grad_norm: 0.0298 2024-01-03 21:48:08,227 - mmseg - INFO - Iter [13050/38400] lr: 3.706e-03, eta: 0:57:38, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1003, decode.loss_grad: 0.0000, loss: 0.1003, grad_norm: 0.0300 2024-01-03 21:48:14,742 - mmseg - INFO - Iter [13100/38400] lr: 3.697e-03, eta: 0:57:31, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1000, decode.loss_grad: 0.0000, loss: 0.1000, grad_norm: 0.0299 2024-01-03 21:48:21,311 - mmseg - INFO - Iter [13150/38400] lr: 3.688e-03, eta: 0:57:24, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0990, decode.loss_grad: 0.0000, loss: 0.0990, grad_norm: 0.0263 2024-01-03 21:48:27,833 - mmseg - INFO - Iter [13200/38400] lr: 3.679e-03, eta: 0:57:16, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1008, decode.loss_grad: 0.0000, loss: 0.1008, grad_norm: 0.0285 2024-01-03 21:48:34,318 - mmseg - INFO - Iter [13250/38400] lr: 3.670e-03, eta: 0:57:09, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1025, decode.loss_grad: 0.0000, loss: 0.1025, grad_norm: 0.0298 2024-01-03 21:48:40,806 - mmseg - INFO - Iter [13300/38400] lr: 3.661e-03, eta: 0:57:01, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1022, decode.loss_grad: 0.0000, loss: 0.1022, grad_norm: 0.0288 2024-01-03 21:48:47,329 - mmseg - INFO - Iter [13350/38400] lr: 3.652e-03, eta: 0:56:54, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1032, decode.loss_grad: 0.0000, loss: 0.1032, grad_norm: 0.0315 2024-01-03 21:48:53,899 - mmseg - INFO - Iter [13400/38400] lr: 3.642e-03, eta: 0:56:47, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1020, decode.loss_grad: 0.0000, loss: 0.1020, grad_norm: 0.0293 2024-01-03 21:49:00,396 - mmseg - INFO - Iter [13450/38400] lr: 3.633e-03, eta: 0:56:39, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1019, decode.loss_grad: 0.0000, loss: 0.1019, grad_norm: 0.0289 2024-01-03 21:49:06,941 - mmseg - INFO - Iter [13500/38400] lr: 3.624e-03, eta: 0:56:32, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1002, decode.loss_grad: 0.0000, loss: 0.1002, grad_norm: 0.0293 2024-01-03 21:49:13,446 - mmseg - INFO - Iter [13550/38400] lr: 3.615e-03, eta: 0:56:25, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1033, decode.loss_grad: 0.0000, loss: 0.1033, grad_norm: 0.0287 2024-01-03 21:49:19,936 - mmseg - INFO - Iter [13600/38400] lr: 3.606e-03, eta: 0:56:17, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.1024, decode.loss_grad: 0.0000, loss: 0.1024, grad_norm: 0.0282 2024-01-03 21:49:28,637 - mmseg - INFO - Iter [13650/38400] lr: 3.597e-03, eta: 0:56:14, time: 0.174, data_time: 0.046, memory: 940, decode.loss_depth: 0.0980, decode.loss_grad: 0.0000, loss: 0.0980, grad_norm: 0.0277 2024-01-03 21:49:35,164 - mmseg - INFO - Iter [13700/38400] lr: 3.588e-03, eta: 0:56:07, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1009, decode.loss_grad: 0.0000, loss: 0.1009, grad_norm: 0.0261 2024-01-03 21:49:41,633 - mmseg - INFO - Iter [13750/38400] lr: 3.578e-03, eta: 0:55:59, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0973, decode.loss_grad: 0.0000, loss: 0.0973, grad_norm: 0.0272 2024-01-03 21:49:48,061 - mmseg - INFO - Iter [13800/38400] lr: 3.569e-03, eta: 0:55:52, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1007, decode.loss_grad: 0.0000, loss: 0.1007, grad_norm: 0.0281 2024-01-03 21:49:54,597 - mmseg - INFO - Iter [13850/38400] lr: 3.560e-03, eta: 0:55:44, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1004, decode.loss_grad: 0.0000, loss: 0.1004, grad_norm: 0.0284 2024-01-03 21:50:01,118 - mmseg - INFO - Iter [13900/38400] lr: 3.551e-03, eta: 0:55:37, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0990, decode.loss_grad: 0.0000, loss: 0.0990, grad_norm: 0.0274 2024-01-03 21:50:07,684 - mmseg - INFO - Iter [13950/38400] lr: 3.541e-03, eta: 0:55:30, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.1007, decode.loss_grad: 0.0000, loss: 0.1007, grad_norm: 0.0272 2024-01-03 21:50:14,146 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:50:14,146 - mmseg - INFO - Iter [14000/38400] lr: 3.532e-03, eta: 0:55:22, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0992, decode.loss_grad: 0.0000, loss: 0.0992, grad_norm: 0.0269 2024-01-03 21:50:20,589 - mmseg - INFO - Iter [14050/38400] lr: 3.523e-03, eta: 0:55:15, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0979, decode.loss_grad: 0.0000, loss: 0.0979, grad_norm: 0.0293 2024-01-03 21:50:27,114 - mmseg - INFO - Iter [14100/38400] lr: 3.513e-03, eta: 0:55:08, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0973, decode.loss_grad: 0.0000, loss: 0.0973, grad_norm: 0.0284 2024-01-03 21:50:33,688 - mmseg - INFO - Iter [14150/38400] lr: 3.504e-03, eta: 0:55:00, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0988, decode.loss_grad: 0.0000, loss: 0.0988, grad_norm: 0.0282 2024-01-03 21:50:40,183 - mmseg - INFO - Iter [14200/38400] lr: 3.495e-03, eta: 0:54:53, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0970, decode.loss_grad: 0.0000, loss: 0.0970, grad_norm: 0.0270 2024-01-03 21:50:46,650 - mmseg - INFO - Iter [14250/38400] lr: 3.485e-03, eta: 0:54:46, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0963, decode.loss_grad: 0.0000, loss: 0.0963, grad_norm: 0.0254 2024-01-03 21:50:53,126 - mmseg - INFO - Iter [14300/38400] lr: 3.476e-03, eta: 0:54:38, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0985, decode.loss_grad: 0.0000, loss: 0.0985, grad_norm: 0.0259 2024-01-03 21:50:59,689 - mmseg - INFO - Iter [14350/38400] lr: 3.466e-03, eta: 0:54:31, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0978, decode.loss_grad: 0.0000, loss: 0.0978, grad_norm: 0.0277 2024-01-03 21:51:06,228 - mmseg - INFO - Saving checkpoint at 14400 iterations 2024-01-03 21:51:06,250 - mmseg - INFO - Iter [14400/38400] lr: 3.457e-03, eta: 0:54:24, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0983, decode.loss_grad: 0.0000, loss: 0.0983, grad_norm: 0.0266 2024-01-03 21:51:12,668 - mmseg - INFO - Iter [14450/38400] lr: 3.447e-03, eta: 0:54:16, time: 0.128, data_time: 0.003, memory: 940, decode.loss_depth: 0.0995, decode.loss_grad: 0.0000, loss: 0.0995, grad_norm: 0.0268 2024-01-03 21:51:19,215 - mmseg - INFO - Iter [14500/38400] lr: 3.438e-03, eta: 0:54:09, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0983, decode.loss_grad: 0.0000, loss: 0.0983, grad_norm: 0.0265 2024-01-03 21:51:25,689 - mmseg - INFO - Iter [14550/38400] lr: 3.428e-03, eta: 0:54:02, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1004, decode.loss_grad: 0.0000, loss: 0.1004, grad_norm: 0.0272 2024-01-03 21:51:32,198 - mmseg - INFO - Iter [14600/38400] lr: 3.419e-03, eta: 0:53:55, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0993, decode.loss_grad: 0.0000, loss: 0.0993, grad_norm: 0.0272 2024-01-03 21:51:38,706 - mmseg - INFO - Iter [14650/38400] lr: 3.409e-03, eta: 0:53:47, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0986, decode.loss_grad: 0.0000, loss: 0.0986, grad_norm: 0.0280 2024-01-03 21:51:45,248 - mmseg - INFO - Iter [14700/38400] lr: 3.400e-03, eta: 0:53:40, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0988, decode.loss_grad: 0.0000, loss: 0.0988, grad_norm: 0.0269 2024-01-03 21:51:51,689 - mmseg - INFO - Iter [14750/38400] lr: 3.390e-03, eta: 0:53:33, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1020, decode.loss_grad: 0.0000, loss: 0.1020, grad_norm: 0.0273 2024-01-03 21:51:58,163 - mmseg - INFO - Iter [14800/38400] lr: 3.381e-03, eta: 0:53:25, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.1011, decode.loss_grad: 0.0000, loss: 0.1011, grad_norm: 0.0285 2024-01-03 21:52:04,720 - mmseg - INFO - Iter [14850/38400] lr: 3.371e-03, eta: 0:53:18, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0988, decode.loss_grad: 0.0000, loss: 0.0988, grad_norm: 0.0269 2024-01-03 21:52:11,254 - mmseg - INFO - Iter [14900/38400] lr: 3.362e-03, eta: 0:53:11, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0994, decode.loss_grad: 0.0000, loss: 0.0994, grad_norm: 0.0255 2024-01-03 21:52:17,809 - mmseg - INFO - Iter [14950/38400] lr: 3.352e-03, eta: 0:53:04, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0971, decode.loss_grad: 0.0000, loss: 0.0971, grad_norm: 0.0259 2024-01-03 21:52:24,265 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:52:24,265 - mmseg - INFO - Iter [15000/38400] lr: 3.342e-03, eta: 0:52:57, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0956, decode.loss_grad: 0.0000, loss: 0.0956, grad_norm: 0.0253 2024-01-03 21:52:30,747 - mmseg - INFO - Iter [15050/38400] lr: 3.333e-03, eta: 0:52:49, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0977, decode.loss_grad: 0.0000, loss: 0.0977, grad_norm: 0.0261 2024-01-03 21:52:37,312 - mmseg - INFO - Iter [15100/38400] lr: 3.323e-03, eta: 0:52:42, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0974, decode.loss_grad: 0.0000, loss: 0.0974, grad_norm: 0.0264 2024-01-03 21:52:45,981 - mmseg - INFO - Iter [15150/38400] lr: 3.313e-03, eta: 0:52:38, time: 0.173, data_time: 0.045, memory: 940, decode.loss_depth: 0.0967, decode.loss_grad: 0.0000, loss: 0.0967, grad_norm: 0.0256 2024-01-03 21:52:52,519 - mmseg - INFO - Iter [15200/38400] lr: 3.304e-03, eta: 0:52:31, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0972, decode.loss_grad: 0.0000, loss: 0.0972, grad_norm: 0.0237 2024-01-03 21:52:59,032 - mmseg - INFO - Iter [15250/38400] lr: 3.294e-03, eta: 0:52:24, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0963, decode.loss_grad: 0.0000, loss: 0.0963, grad_norm: 0.0260 2024-01-03 21:53:05,536 - mmseg - INFO - Iter [15300/38400] lr: 3.284e-03, eta: 0:52:17, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0947, decode.loss_grad: 0.0000, loss: 0.0947, grad_norm: 0.0259 2024-01-03 21:53:12,003 - mmseg - INFO - Iter [15350/38400] lr: 3.275e-03, eta: 0:52:09, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0972, decode.loss_grad: 0.0000, loss: 0.0972, grad_norm: 0.0256 2024-01-03 21:53:18,554 - mmseg - INFO - Iter [15400/38400] lr: 3.265e-03, eta: 0:52:02, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0967, decode.loss_grad: 0.0000, loss: 0.0967, grad_norm: 0.0258 2024-01-03 21:53:25,114 - mmseg - INFO - Iter [15450/38400] lr: 3.255e-03, eta: 0:51:55, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0985, decode.loss_grad: 0.0000, loss: 0.0985, grad_norm: 0.0271 2024-01-03 21:53:31,609 - mmseg - INFO - Iter [15500/38400] lr: 3.245e-03, eta: 0:51:48, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0977, decode.loss_grad: 0.0000, loss: 0.0977, grad_norm: 0.0257 2024-01-03 21:53:38,040 - mmseg - INFO - Iter [15550/38400] lr: 3.236e-03, eta: 0:51:41, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0963, decode.loss_grad: 0.0000, loss: 0.0963, grad_norm: 0.0263 2024-01-03 21:53:44,589 - mmseg - INFO - Iter [15600/38400] lr: 3.226e-03, eta: 0:51:33, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0960, decode.loss_grad: 0.0000, loss: 0.0960, grad_norm: 0.0243 2024-01-03 21:53:51,063 - mmseg - INFO - Iter [15650/38400] lr: 3.216e-03, eta: 0:51:26, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0950, decode.loss_grad: 0.0000, loss: 0.0950, grad_norm: 0.0248 2024-01-03 21:53:57,563 - mmseg - INFO - Iter [15700/38400] lr: 3.206e-03, eta: 0:51:19, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0955, decode.loss_grad: 0.0000, loss: 0.0955, grad_norm: 0.0245 2024-01-03 21:54:04,114 - mmseg - INFO - Iter [15750/38400] lr: 3.196e-03, eta: 0:51:12, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0929, decode.loss_grad: 0.0000, loss: 0.0929, grad_norm: 0.0238 2024-01-03 21:54:10,618 - mmseg - INFO - Iter [15800/38400] lr: 3.187e-03, eta: 0:51:05, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0972, decode.loss_grad: 0.0000, loss: 0.0972, grad_norm: 0.0264 2024-01-03 21:54:17,095 - mmseg - INFO - Iter [15850/38400] lr: 3.177e-03, eta: 0:50:58, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0924, decode.loss_grad: 0.0000, loss: 0.0924, grad_norm: 0.0246 2024-01-03 21:54:23,641 - mmseg - INFO - Iter [15900/38400] lr: 3.167e-03, eta: 0:50:50, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0973, decode.loss_grad: 0.0000, loss: 0.0973, grad_norm: 0.0258 2024-01-03 21:54:30,201 - mmseg - INFO - Iter [15950/38400] lr: 3.157e-03, eta: 0:50:43, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0978, decode.loss_grad: 0.0000, loss: 0.0978, grad_norm: 0.0266 2024-01-03 21:54:36,713 - mmseg - INFO - Saving checkpoint at 16000 iterations 2024-01-03 21:54:36,739 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:54:36,739 - mmseg - INFO - Iter [16000/38400] lr: 3.147e-03, eta: 0:50:36, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0982, decode.loss_grad: 0.0000, loss: 0.0982, grad_norm: 0.0259 2024-01-03 21:54:49,446 - mmseg - INFO - Summary: 2024-01-03 21:54:49,448 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.8768 | 0.9876 | 0.9981 | 0.1185 | 0.3961 | 0.0497 | 0.1436 | 11.2153 | 0.0627 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 21:54:49,451 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/voc10k_distilled/vit_base_patch14_reg4_dinov2.lvd142m/best_abs_rel_iter_9600.pth was removed 2024-01-03 21:54:49,467 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_16000.pth. 2024-01-03 21:54:49,467 - mmseg - INFO - Best abs_rel is 0.1185 at 16000 iter. 2024-01-03 21:54:49,467 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:54:49,467 - mmseg - INFO - Iter(val) [82] a1: 0.8768, a2: 0.9876, a3: 0.9981, abs_rel: 0.1185283288359642, rmse: 0.3961380422115326, log_10: 0.049653057008981705, rmse_log: 0.14359711110591888, silog: 11.2153, sq_rel: 0.0627066120505333 2024-01-03 21:54:55,946 - mmseg - INFO - Iter [16050/38400] lr: 3.137e-03, eta: 0:50:47, time: 0.384, data_time: 0.258, memory: 940, decode.loss_depth: 0.0968, decode.loss_grad: 0.0000, loss: 0.0968, grad_norm: 0.0264 2024-01-03 21:55:02,460 - mmseg - INFO - Iter [16100/38400] lr: 3.127e-03, eta: 0:50:40, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0933, decode.loss_grad: 0.0000, loss: 0.0933, grad_norm: 0.0248 2024-01-03 21:55:08,982 - mmseg - INFO - Iter [16150/38400] lr: 3.118e-03, eta: 0:50:32, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0960, decode.loss_grad: 0.0000, loss: 0.0960, grad_norm: 0.0265 2024-01-03 21:55:15,441 - mmseg - INFO - Iter [16200/38400] lr: 3.108e-03, eta: 0:50:25, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0964, decode.loss_grad: 0.0000, loss: 0.0964, grad_norm: 0.0259 2024-01-03 21:55:21,930 - mmseg - INFO - Iter [16250/38400] lr: 3.098e-03, eta: 0:50:18, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0960, decode.loss_grad: 0.0000, loss: 0.0960, grad_norm: 0.0237 2024-01-03 21:55:28,445 - mmseg - INFO - Iter [16300/38400] lr: 3.088e-03, eta: 0:50:11, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0956, decode.loss_grad: 0.0000, loss: 0.0956, grad_norm: 0.0250 2024-01-03 21:55:34,988 - mmseg - INFO - Iter [16350/38400] lr: 3.078e-03, eta: 0:50:03, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0973, decode.loss_grad: 0.0000, loss: 0.0973, grad_norm: 0.0252 2024-01-03 21:55:41,510 - mmseg - INFO - Iter [16400/38400] lr: 3.068e-03, eta: 0:49:56, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0954, decode.loss_grad: 0.0000, loss: 0.0954, grad_norm: 0.0259 2024-01-03 21:55:47,955 - mmseg - INFO - Iter [16450/38400] lr: 3.058e-03, eta: 0:49:49, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0950, decode.loss_grad: 0.0000, loss: 0.0950, grad_norm: 0.0250 2024-01-03 21:55:54,528 - mmseg - INFO - Iter [16500/38400] lr: 3.048e-03, eta: 0:49:42, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0970, decode.loss_grad: 0.0000, loss: 0.0970, grad_norm: 0.0251 2024-01-03 21:56:01,011 - mmseg - INFO - Iter [16550/38400] lr: 3.038e-03, eta: 0:49:34, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0932, decode.loss_grad: 0.0000, loss: 0.0932, grad_norm: 0.0253 2024-01-03 21:56:07,544 - mmseg - INFO - Iter [16600/38400] lr: 3.028e-03, eta: 0:49:27, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0972, decode.loss_grad: 0.0000, loss: 0.0972, grad_norm: 0.0252 2024-01-03 21:56:14,097 - mmseg - INFO - Iter [16650/38400] lr: 3.018e-03, eta: 0:49:20, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0935, decode.loss_grad: 0.0000, loss: 0.0935, grad_norm: 0.0234 2024-01-03 21:56:22,779 - mmseg - INFO - Iter [16700/38400] lr: 3.008e-03, eta: 0:49:16, time: 0.174, data_time: 0.046, memory: 940, decode.loss_depth: 0.0924, decode.loss_grad: 0.0000, loss: 0.0924, grad_norm: 0.0234 2024-01-03 21:56:29,244 - mmseg - INFO - Iter [16750/38400] lr: 2.998e-03, eta: 0:49:09, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0934, decode.loss_grad: 0.0000, loss: 0.0934, grad_norm: 0.0243 2024-01-03 21:56:35,767 - mmseg - INFO - Iter [16800/38400] lr: 2.988e-03, eta: 0:49:01, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0954, decode.loss_grad: 0.0000, loss: 0.0954, grad_norm: 0.0243 2024-01-03 21:56:42,279 - mmseg - INFO - Iter [16850/38400] lr: 2.978e-03, eta: 0:48:54, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0942, decode.loss_grad: 0.0000, loss: 0.0942, grad_norm: 0.0263 2024-01-03 21:56:48,691 - mmseg - INFO - Iter [16900/38400] lr: 2.968e-03, eta: 0:48:47, time: 0.128, data_time: 0.003, memory: 940, decode.loss_depth: 0.0952, decode.loss_grad: 0.0000, loss: 0.0952, grad_norm: 0.0241 2024-01-03 21:56:55,193 - mmseg - INFO - Iter [16950/38400] lr: 2.958e-03, eta: 0:48:40, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0929, decode.loss_grad: 0.0000, loss: 0.0929, grad_norm: 0.0244 2024-01-03 21:57:01,634 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:57:01,634 - mmseg - INFO - Iter [17000/38400] lr: 2.948e-03, eta: 0:48:32, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0931, decode.loss_grad: 0.0000, loss: 0.0931, grad_norm: 0.0243 2024-01-03 21:57:08,157 - mmseg - INFO - Iter [17050/38400] lr: 2.938e-03, eta: 0:48:25, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0942, decode.loss_grad: 0.0000, loss: 0.0942, grad_norm: 0.0247 2024-01-03 21:57:14,637 - mmseg - INFO - Iter [17100/38400] lr: 2.928e-03, eta: 0:48:18, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0925, decode.loss_grad: 0.0000, loss: 0.0925, grad_norm: 0.0245 2024-01-03 21:57:21,181 - mmseg - INFO - Iter [17150/38400] lr: 2.918e-03, eta: 0:48:11, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0931, decode.loss_grad: 0.0000, loss: 0.0931, grad_norm: 0.0245 2024-01-03 21:57:27,585 - mmseg - INFO - Iter [17200/38400] lr: 2.907e-03, eta: 0:48:04, time: 0.128, data_time: 0.003, memory: 940, decode.loss_depth: 0.0907, decode.loss_grad: 0.0000, loss: 0.0907, grad_norm: 0.0241 2024-01-03 21:57:34,080 - mmseg - INFO - Iter [17250/38400] lr: 2.897e-03, eta: 0:47:56, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0944, decode.loss_grad: 0.0000, loss: 0.0944, grad_norm: 0.0240 2024-01-03 21:57:40,601 - mmseg - INFO - Iter [17300/38400] lr: 2.887e-03, eta: 0:47:49, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0937, decode.loss_grad: 0.0000, loss: 0.0937, grad_norm: 0.0238 2024-01-03 21:57:47,028 - mmseg - INFO - Iter [17350/38400] lr: 2.877e-03, eta: 0:47:42, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0933, decode.loss_grad: 0.0000, loss: 0.0933, grad_norm: 0.0236 2024-01-03 21:57:53,517 - mmseg - INFO - Iter [17400/38400] lr: 2.867e-03, eta: 0:47:35, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0923, decode.loss_grad: 0.0000, loss: 0.0923, grad_norm: 0.0236 2024-01-03 21:57:59,968 - mmseg - INFO - Iter [17450/38400] lr: 2.857e-03, eta: 0:47:28, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0941, decode.loss_grad: 0.0000, loss: 0.0941, grad_norm: 0.0248 2024-01-03 21:58:06,487 - mmseg - INFO - Iter [17500/38400] lr: 2.847e-03, eta: 0:47:21, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0912, decode.loss_grad: 0.0000, loss: 0.0912, grad_norm: 0.0226 2024-01-03 21:58:12,968 - mmseg - INFO - Iter [17550/38400] lr: 2.837e-03, eta: 0:47:13, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0941, decode.loss_grad: 0.0000, loss: 0.0941, grad_norm: 0.0241 2024-01-03 21:58:19,495 - mmseg - INFO - Saving checkpoint at 17600 iterations 2024-01-03 21:58:19,518 - mmseg - INFO - Iter [17600/38400] lr: 2.827e-03, eta: 0:47:06, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0959, decode.loss_grad: 0.0000, loss: 0.0959, grad_norm: 0.0235 2024-01-03 21:58:26,060 - mmseg - INFO - Iter [17650/38400] lr: 2.816e-03, eta: 0:46:59, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0945, decode.loss_grad: 0.0000, loss: 0.0945, grad_norm: 0.0250 2024-01-03 21:58:32,624 - mmseg - INFO - Iter [17700/38400] lr: 2.806e-03, eta: 0:46:52, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0928, decode.loss_grad: 0.0000, loss: 0.0928, grad_norm: 0.0243 2024-01-03 21:58:39,146 - mmseg - INFO - Iter [17750/38400] lr: 2.796e-03, eta: 0:46:45, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0951, decode.loss_grad: 0.0000, loss: 0.0951, grad_norm: 0.0244 2024-01-03 21:58:45,736 - mmseg - INFO - Iter [17800/38400] lr: 2.786e-03, eta: 0:46:38, time: 0.132, data_time: 0.003, memory: 940, decode.loss_depth: 0.0940, decode.loss_grad: 0.0000, loss: 0.0940, grad_norm: 0.0255 2024-01-03 21:58:52,222 - mmseg - INFO - Iter [17850/38400] lr: 2.776e-03, eta: 0:46:31, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0929, decode.loss_grad: 0.0000, loss: 0.0929, grad_norm: 0.0234 2024-01-03 21:58:58,748 - mmseg - INFO - Iter [17900/38400] lr: 2.766e-03, eta: 0:46:24, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0926, decode.loss_grad: 0.0000, loss: 0.0926, grad_norm: 0.0244 2024-01-03 21:59:05,260 - mmseg - INFO - Iter [17950/38400] lr: 2.755e-03, eta: 0:46:17, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0956, decode.loss_grad: 0.0000, loss: 0.0956, grad_norm: 0.0256 2024-01-03 21:59:11,787 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:59:11,787 - mmseg - INFO - Iter [18000/38400] lr: 2.745e-03, eta: 0:46:10, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0938, decode.loss_grad: 0.0000, loss: 0.0938, grad_norm: 0.0240 2024-01-03 21:59:18,257 - mmseg - INFO - Iter [18050/38400] lr: 2.735e-03, eta: 0:46:02, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0930, decode.loss_grad: 0.0000, loss: 0.0930, grad_norm: 0.0250 2024-01-03 21:59:24,685 - mmseg - INFO - Iter [18100/38400] lr: 2.725e-03, eta: 0:45:55, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0934, decode.loss_grad: 0.0000, loss: 0.0934, grad_norm: 0.0235 2024-01-03 21:59:31,273 - mmseg - INFO - Iter [18150/38400] lr: 2.715e-03, eta: 0:45:48, time: 0.132, data_time: 0.003, memory: 940, decode.loss_depth: 0.0932, decode.loss_grad: 0.0000, loss: 0.0932, grad_norm: 0.0237 2024-01-03 21:59:39,932 - mmseg - INFO - Iter [18200/38400] lr: 2.705e-03, eta: 0:45:43, time: 0.173, data_time: 0.047, memory: 940, decode.loss_depth: 0.0939, decode.loss_grad: 0.0000, loss: 0.0939, grad_norm: 0.0247 2024-01-03 21:59:46,413 - mmseg - INFO - Iter [18250/38400] lr: 2.694e-03, eta: 0:45:36, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0897, decode.loss_grad: 0.0000, loss: 0.0897, grad_norm: 0.0224 2024-01-03 21:59:52,843 - mmseg - INFO - Iter [18300/38400] lr: 2.684e-03, eta: 0:45:29, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0935, decode.loss_grad: 0.0000, loss: 0.0935, grad_norm: 0.0224 2024-01-03 21:59:59,345 - mmseg - INFO - Iter [18350/38400] lr: 2.674e-03, eta: 0:45:22, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0894, decode.loss_grad: 0.0000, loss: 0.0894, grad_norm: 0.0219 2024-01-03 22:00:05,929 - mmseg - INFO - Iter [18400/38400] lr: 2.664e-03, eta: 0:45:15, time: 0.132, data_time: 0.003, memory: 940, decode.loss_depth: 0.0915, decode.loss_grad: 0.0000, loss: 0.0915, grad_norm: 0.0234 2024-01-03 22:00:12,435 - mmseg - INFO - Iter [18450/38400] lr: 2.654e-03, eta: 0:45:08, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0906, decode.loss_grad: 0.0000, loss: 0.0906, grad_norm: 0.0244 2024-01-03 22:00:18,919 - mmseg - INFO - Iter [18500/38400] lr: 2.643e-03, eta: 0:45:01, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0913, decode.loss_grad: 0.0000, loss: 0.0913, grad_norm: 0.0245 2024-01-03 22:00:25,408 - mmseg - INFO - Iter [18550/38400] lr: 2.633e-03, eta: 0:44:54, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0899, decode.loss_grad: 0.0000, loss: 0.0899, grad_norm: 0.0238 2024-01-03 22:00:31,934 - mmseg - INFO - Iter [18600/38400] lr: 2.623e-03, eta: 0:44:47, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0896, decode.loss_grad: 0.0000, loss: 0.0896, grad_norm: 0.0231 2024-01-03 22:00:38,508 - mmseg - INFO - Iter [18650/38400] lr: 2.613e-03, eta: 0:44:40, time: 0.132, data_time: 0.003, memory: 940, decode.loss_depth: 0.0914, decode.loss_grad: 0.0000, loss: 0.0914, grad_norm: 0.0228 2024-01-03 22:00:45,043 - mmseg - INFO - Iter [18700/38400] lr: 2.602e-03, eta: 0:44:33, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0900, decode.loss_grad: 0.0000, loss: 0.0900, grad_norm: 0.0224 2024-01-03 22:00:51,561 - mmseg - INFO - Iter [18750/38400] lr: 2.592e-03, eta: 0:44:26, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0927, decode.loss_grad: 0.0000, loss: 0.0927, grad_norm: 0.0242 2024-01-03 22:00:58,067 - mmseg - INFO - Iter [18800/38400] lr: 2.582e-03, eta: 0:44:18, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0917, decode.loss_grad: 0.0000, loss: 0.0917, grad_norm: 0.0236 2024-01-03 22:01:04,532 - mmseg - INFO - Iter [18850/38400] lr: 2.572e-03, eta: 0:44:11, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0926, decode.loss_grad: 0.0000, loss: 0.0926, grad_norm: 0.0236 2024-01-03 22:01:11,023 - mmseg - INFO - Iter [18900/38400] lr: 2.562e-03, eta: 0:44:04, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0918, decode.loss_grad: 0.0000, loss: 0.0918, grad_norm: 0.0243 2024-01-03 22:01:17,497 - mmseg - INFO - Iter [18950/38400] lr: 2.551e-03, eta: 0:43:57, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0924, decode.loss_grad: 0.0000, loss: 0.0924, grad_norm: 0.0245 2024-01-03 22:01:24,034 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:01:24,035 - mmseg - INFO - Iter [19000/38400] lr: 2.541e-03, eta: 0:43:50, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0919, decode.loss_grad: 0.0000, loss: 0.0919, grad_norm: 0.0234 2024-01-03 22:01:30,553 - mmseg - INFO - Iter [19050/38400] lr: 2.531e-03, eta: 0:43:43, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0909, decode.loss_grad: 0.0000, loss: 0.0909, grad_norm: 0.0222 2024-01-03 22:01:37,031 - mmseg - INFO - Iter [19100/38400] lr: 2.521e-03, eta: 0:43:36, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0920, decode.loss_grad: 0.0000, loss: 0.0920, grad_norm: 0.0231 2024-01-03 22:01:43,584 - mmseg - INFO - Iter [19150/38400] lr: 2.510e-03, eta: 0:43:29, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0908, decode.loss_grad: 0.0000, loss: 0.0908, grad_norm: 0.0235 2024-01-03 22:01:50,012 - mmseg - INFO - Saving checkpoint at 19200 iterations 2024-01-03 22:01:50,043 - mmseg - INFO - Iter [19200/38400] lr: 2.500e-03, eta: 0:43:22, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0918, decode.loss_grad: 0.0000, loss: 0.0918, grad_norm: 0.0237 2024-01-03 22:02:02,709 - mmseg - INFO - Summary: 2024-01-03 22:02:02,710 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.8768 | 0.9875 | 0.9982 | 0.1196 | 0.3955 | 0.0497 | 0.1433 | 11.1329 | 0.0632 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 22:02:02,710 - mmseg - INFO - Iter(val) [82] a1: 0.8768, a2: 0.9875, a3: 0.9982, abs_rel: 0.11955279856920242, rmse: 0.39553529024124146, log_10: 0.04969901964068413, rmse_log: 0.14327868819236755, silog: 11.1329, sq_rel: 0.06324031203985214 2024-01-03 22:02:09,127 - mmseg - INFO - Iter [19250/38400] lr: 2.490e-03, eta: 0:43:27, time: 0.382, data_time: 0.256, memory: 940, decode.loss_depth: 0.0887, decode.loss_grad: 0.0000, loss: 0.0887, grad_norm: 0.0234 2024-01-03 22:02:15,643 - mmseg - INFO - Iter [19300/38400] lr: 2.480e-03, eta: 0:43:20, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0921, decode.loss_grad: 0.0000, loss: 0.0921, grad_norm: 0.0237 2024-01-03 22:02:22,114 - mmseg - INFO - Iter [19350/38400] lr: 2.470e-03, eta: 0:43:13, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0913, decode.loss_grad: 0.0000, loss: 0.0913, grad_norm: 0.0237 2024-01-03 22:02:28,587 - mmseg - INFO - Iter [19400/38400] lr: 2.459e-03, eta: 0:43:06, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0916, decode.loss_grad: 0.0000, loss: 0.0916, grad_norm: 0.0236 2024-01-03 22:02:35,093 - mmseg - INFO - Iter [19450/38400] lr: 2.449e-03, eta: 0:42:59, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0920, decode.loss_grad: 0.0000, loss: 0.0920, grad_norm: 0.0232 2024-01-03 22:02:41,601 - mmseg - INFO - Iter [19500/38400] lr: 2.439e-03, eta: 0:42:52, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0901, decode.loss_grad: 0.0000, loss: 0.0901, grad_norm: 0.0225 2024-01-03 22:02:48,116 - mmseg - INFO - Iter [19550/38400] lr: 2.429e-03, eta: 0:42:45, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0906, decode.loss_grad: 0.0000, loss: 0.0906, grad_norm: 0.0226 2024-01-03 22:02:54,600 - mmseg - INFO - Iter [19600/38400] lr: 2.418e-03, eta: 0:42:38, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0901, decode.loss_grad: 0.0000, loss: 0.0901, grad_norm: 0.0240 2024-01-03 22:03:01,117 - mmseg - INFO - Iter [19650/38400] lr: 2.408e-03, eta: 0:42:31, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0918, decode.loss_grad: 0.0000, loss: 0.0918, grad_norm: 0.0242 2024-01-03 22:03:09,828 - mmseg - INFO - Iter [19700/38400] lr: 2.398e-03, eta: 0:42:26, time: 0.174, data_time: 0.046, memory: 940, decode.loss_depth: 0.0903, decode.loss_grad: 0.0000, loss: 0.0903, grad_norm: 0.0227 2024-01-03 22:03:16,263 - mmseg - INFO - Iter [19750/38400] lr: 2.388e-03, eta: 0:42:18, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0916, decode.loss_grad: 0.0000, loss: 0.0916, grad_norm: 0.0239 2024-01-03 22:03:22,745 - mmseg - INFO - Iter [19800/38400] lr: 2.378e-03, eta: 0:42:11, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0912, decode.loss_grad: 0.0000, loss: 0.0912, grad_norm: 0.0229 2024-01-03 22:03:29,300 - mmseg - INFO - Iter [19850/38400] lr: 2.367e-03, eta: 0:42:04, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0896, decode.loss_grad: 0.0000, loss: 0.0896, grad_norm: 0.0230 2024-01-03 22:03:35,807 - mmseg - INFO - Iter [19900/38400] lr: 2.357e-03, eta: 0:41:57, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0935, decode.loss_grad: 0.0000, loss: 0.0935, grad_norm: 0.0242 2024-01-03 22:03:42,263 - mmseg - INFO - Iter [19950/38400] lr: 2.347e-03, eta: 0:41:50, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0910, decode.loss_grad: 0.0000, loss: 0.0910, grad_norm: 0.0233 2024-01-03 22:03:48,759 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:03:48,759 - mmseg - INFO - Iter [20000/38400] lr: 2.337e-03, eta: 0:41:43, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0908, decode.loss_grad: 0.0000, loss: 0.0908, grad_norm: 0.0228 2024-01-03 22:03:55,256 - mmseg - INFO - Iter [20050/38400] lr: 2.326e-03, eta: 0:41:36, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0885, decode.loss_grad: 0.0000, loss: 0.0885, grad_norm: 0.0245 2024-01-03 22:04:01,776 - mmseg - INFO - Iter [20100/38400] lr: 2.316e-03, eta: 0:41:29, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0886, decode.loss_grad: 0.0000, loss: 0.0886, grad_norm: 0.0221 2024-01-03 22:04:08,277 - mmseg - INFO - Iter [20150/38400] lr: 2.306e-03, eta: 0:41:22, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0899, decode.loss_grad: 0.0000, loss: 0.0899, grad_norm: 0.0234 2024-01-03 22:04:14,788 - mmseg - INFO - Iter [20200/38400] lr: 2.296e-03, eta: 0:41:15, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0896, decode.loss_grad: 0.0000, loss: 0.0896, grad_norm: 0.0237 2024-01-03 22:04:21,334 - mmseg - INFO - Iter [20250/38400] lr: 2.286e-03, eta: 0:41:08, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0867, decode.loss_grad: 0.0000, loss: 0.0867, grad_norm: 0.0226 2024-01-03 22:04:27,887 - mmseg - INFO - Iter [20300/38400] lr: 2.276e-03, eta: 0:41:01, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0899, decode.loss_grad: 0.0000, loss: 0.0899, grad_norm: 0.0223 2024-01-03 22:04:34,374 - mmseg - INFO - Iter [20350/38400] lr: 2.265e-03, eta: 0:40:54, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0881, decode.loss_grad: 0.0000, loss: 0.0881, grad_norm: 0.0227 2024-01-03 22:04:40,901 - mmseg - INFO - Iter [20400/38400] lr: 2.255e-03, eta: 0:40:46, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0916, decode.loss_grad: 0.0000, loss: 0.0916, grad_norm: 0.0233 2024-01-03 22:04:47,402 - mmseg - INFO - Iter [20450/38400] lr: 2.245e-03, eta: 0:40:39, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0924, decode.loss_grad: 0.0000, loss: 0.0924, grad_norm: 0.0229 2024-01-03 22:04:53,902 - mmseg - INFO - Iter [20500/38400] lr: 2.235e-03, eta: 0:40:32, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0902, decode.loss_grad: 0.0000, loss: 0.0902, grad_norm: 0.0246 2024-01-03 22:05:00,400 - mmseg - INFO - Iter [20550/38400] lr: 2.225e-03, eta: 0:40:25, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0891, decode.loss_grad: 0.0000, loss: 0.0891, grad_norm: 0.0223 2024-01-03 22:05:06,906 - mmseg - INFO - Iter [20600/38400] lr: 2.214e-03, eta: 0:40:18, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0902, decode.loss_grad: 0.0000, loss: 0.0902, grad_norm: 0.0227 2024-01-03 22:05:13,439 - mmseg - INFO - Iter [20650/38400] lr: 2.204e-03, eta: 0:40:11, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0886, decode.loss_grad: 0.0000, loss: 0.0886, grad_norm: 0.0235 2024-01-03 22:05:19,893 - mmseg - INFO - Iter [20700/38400] lr: 2.194e-03, eta: 0:40:04, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0891, decode.loss_grad: 0.0000, loss: 0.0891, grad_norm: 0.0234 2024-01-03 22:05:26,387 - mmseg - INFO - Iter [20750/38400] lr: 2.184e-03, eta: 0:39:57, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0896, decode.loss_grad: 0.0000, loss: 0.0896, grad_norm: 0.0235 2024-01-03 22:05:32,976 - mmseg - INFO - Saving checkpoint at 20800 iterations 2024-01-03 22:05:32,999 - mmseg - INFO - Iter [20800/38400] lr: 2.174e-03, eta: 0:39:50, time: 0.132, data_time: 0.003, memory: 940, decode.loss_depth: 0.0888, decode.loss_grad: 0.0000, loss: 0.0888, grad_norm: 0.0232 2024-01-03 22:05:39,538 - mmseg - INFO - Iter [20850/38400] lr: 2.164e-03, eta: 0:39:43, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0893, decode.loss_grad: 0.0000, loss: 0.0893, grad_norm: 0.0229 2024-01-03 22:05:46,091 - mmseg - INFO - Iter [20900/38400] lr: 2.154e-03, eta: 0:39:36, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0873, decode.loss_grad: 0.0000, loss: 0.0873, grad_norm: 0.0233 2024-01-03 22:05:52,607 - mmseg - INFO - Iter [20950/38400] lr: 2.143e-03, eta: 0:39:29, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0899, decode.loss_grad: 0.0000, loss: 0.0899, grad_norm: 0.0239 2024-01-03 22:05:59,135 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:05:59,136 - mmseg - INFO - Iter [21000/38400] lr: 2.133e-03, eta: 0:39:22, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0886, decode.loss_grad: 0.0000, loss: 0.0886, grad_norm: 0.0241 2024-01-03 22:06:05,646 - mmseg - INFO - Iter [21050/38400] lr: 2.123e-03, eta: 0:39:15, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0889, decode.loss_grad: 0.0000, loss: 0.0889, grad_norm: 0.0223 2024-01-03 22:06:12,082 - mmseg - INFO - Iter [21100/38400] lr: 2.113e-03, eta: 0:39:08, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0900, decode.loss_grad: 0.0000, loss: 0.0900, grad_norm: 0.0225 2024-01-03 22:06:18,542 - mmseg - INFO - Iter [21150/38400] lr: 2.103e-03, eta: 0:39:01, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0881, decode.loss_grad: 0.0000, loss: 0.0881, grad_norm: 0.0229 2024-01-03 22:06:27,269 - mmseg - INFO - Iter [21200/38400] lr: 2.093e-03, eta: 0:38:56, time: 0.175, data_time: 0.046, memory: 940, decode.loss_depth: 0.0873, decode.loss_grad: 0.0000, loss: 0.0873, grad_norm: 0.0223 2024-01-03 22:06:33,750 - mmseg - INFO - Iter [21250/38400] lr: 2.083e-03, eta: 0:38:49, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0871, decode.loss_grad: 0.0000, loss: 0.0871, grad_norm: 0.0223 2024-01-03 22:06:40,237 - mmseg - INFO - Iter [21300/38400] lr: 2.073e-03, eta: 0:38:42, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0898, decode.loss_grad: 0.0000, loss: 0.0898, grad_norm: 0.0242 2024-01-03 22:06:46,758 - mmseg - INFO - Iter [21350/38400] lr: 2.063e-03, eta: 0:38:35, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0875, decode.loss_grad: 0.0000, loss: 0.0875, grad_norm: 0.0224 2024-01-03 22:06:53,268 - mmseg - INFO - Iter [21400/38400] lr: 2.053e-03, eta: 0:38:28, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0874, decode.loss_grad: 0.0000, loss: 0.0874, grad_norm: 0.0225 2024-01-03 22:06:59,742 - mmseg - INFO - Iter [21450/38400] lr: 2.043e-03, eta: 0:38:21, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0882, decode.loss_grad: 0.0000, loss: 0.0882, grad_norm: 0.0217 2024-01-03 22:07:06,324 - mmseg - INFO - Iter [21500/38400] lr: 2.033e-03, eta: 0:38:14, time: 0.132, data_time: 0.003, memory: 940, decode.loss_depth: 0.0882, decode.loss_grad: 0.0000, loss: 0.0882, grad_norm: 0.0218 2024-01-03 22:07:12,895 - mmseg - INFO - Iter [21550/38400] lr: 2.023e-03, eta: 0:38:07, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0873, decode.loss_grad: 0.0000, loss: 0.0873, grad_norm: 0.0232 2024-01-03 22:07:19,406 - mmseg - INFO - Iter [21600/38400] lr: 2.012e-03, eta: 0:38:00, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0870, decode.loss_grad: 0.0000, loss: 0.0870, grad_norm: 0.0225 2024-01-03 22:07:25,895 - mmseg - INFO - Iter [21650/38400] lr: 2.002e-03, eta: 0:37:53, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0891, decode.loss_grad: 0.0000, loss: 0.0891, grad_norm: 0.0228 2024-01-03 22:07:32,408 - mmseg - INFO - Iter [21700/38400] lr: 1.992e-03, eta: 0:37:46, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0884, decode.loss_grad: 0.0000, loss: 0.0884, grad_norm: 0.0233 2024-01-03 22:07:38,943 - mmseg - INFO - Iter [21750/38400] lr: 1.982e-03, eta: 0:37:39, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0874, decode.loss_grad: 0.0000, loss: 0.0874, grad_norm: 0.0226 2024-01-03 22:07:45,434 - mmseg - INFO - Iter [21800/38400] lr: 1.972e-03, eta: 0:37:32, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0869, decode.loss_grad: 0.0000, loss: 0.0869, grad_norm: 0.0233 2024-01-03 22:07:51,936 - mmseg - INFO - Iter [21850/38400] lr: 1.962e-03, eta: 0:37:25, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0847, decode.loss_grad: 0.0000, loss: 0.0847, grad_norm: 0.0232 2024-01-03 22:07:58,452 - mmseg - INFO - Iter [21900/38400] lr: 1.952e-03, eta: 0:37:18, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0899, decode.loss_grad: 0.0000, loss: 0.0899, grad_norm: 0.0223 2024-01-03 22:08:04,986 - mmseg - INFO - Iter [21950/38400] lr: 1.942e-03, eta: 0:37:11, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0891, decode.loss_grad: 0.0000, loss: 0.0891, grad_norm: 0.0227 2024-01-03 22:08:11,437 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:08:11,437 - mmseg - INFO - Iter [22000/38400] lr: 1.933e-03, eta: 0:37:04, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0881, decode.loss_grad: 0.0000, loss: 0.0881, grad_norm: 0.0234 2024-01-03 22:08:17,961 - mmseg - INFO - Iter [22050/38400] lr: 1.923e-03, eta: 0:36:57, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0867, decode.loss_grad: 0.0000, loss: 0.0867, grad_norm: 0.0239 2024-01-03 22:08:24,500 - mmseg - INFO - Iter [22100/38400] lr: 1.913e-03, eta: 0:36:50, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0885, decode.loss_grad: 0.0000, loss: 0.0885, grad_norm: 0.0246 2024-01-03 22:08:30,953 - mmseg - INFO - Iter [22150/38400] lr: 1.903e-03, eta: 0:36:43, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0874, decode.loss_grad: 0.0000, loss: 0.0874, grad_norm: 0.0216 2024-01-03 22:08:37,495 - mmseg - INFO - Iter [22200/38400] lr: 1.893e-03, eta: 0:36:36, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0879, decode.loss_grad: 0.0000, loss: 0.0879, grad_norm: 0.0228 2024-01-03 22:08:44,067 - mmseg - INFO - Iter [22250/38400] lr: 1.883e-03, eta: 0:36:29, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0875, decode.loss_grad: 0.0000, loss: 0.0875, grad_norm: 0.0237 2024-01-03 22:08:50,574 - mmseg - INFO - Iter [22300/38400] lr: 1.873e-03, eta: 0:36:22, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0883, decode.loss_grad: 0.0000, loss: 0.0883, grad_norm: 0.0228 2024-01-03 22:08:57,120 - mmseg - INFO - Iter [22350/38400] lr: 1.863e-03, eta: 0:36:15, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0883, decode.loss_grad: 0.0000, loss: 0.0883, grad_norm: 0.0215 2024-01-03 22:09:03,550 - mmseg - INFO - Saving checkpoint at 22400 iterations 2024-01-03 22:09:03,576 - mmseg - INFO - Iter [22400/38400] lr: 1.853e-03, eta: 0:36:08, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0901, decode.loss_grad: 0.0000, loss: 0.0901, grad_norm: 0.0239 2024-01-03 22:09:16,262 - mmseg - INFO - Summary: 2024-01-03 22:09:16,263 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+--------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+--------+--------+ | 0.8826 | 0.9887 | 0.9982 | 0.1147 | 0.3901 | 0.0484 | 0.1409 | 11.178 | 0.0598 | +--------+--------+--------+---------+--------+--------+----------+--------+--------+ 2024-01-03 22:09:16,264 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/voc10k_distilled/vit_base_patch14_reg4_dinov2.lvd142m/best_abs_rel_iter_16000.pth was removed 2024-01-03 22:09:16,282 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_22400.pth. 2024-01-03 22:09:16,282 - mmseg - INFO - Best abs_rel is 0.1147 at 22400 iter. 2024-01-03 22:09:16,283 - mmseg - INFO - Iter(val) [82] a1: 0.8826, a2: 0.9887, a3: 0.9982, abs_rel: 0.11469670385122299, rmse: 0.3900640904903412, log_10: 0.04844169318675995, rmse_log: 0.14092950522899628, silog: 11.1780, sq_rel: 0.05982411652803421 2024-01-03 22:09:22,786 - mmseg - INFO - Iter [22450/38400] lr: 1.843e-03, eta: 0:36:10, time: 0.384, data_time: 0.257, memory: 940, decode.loss_depth: 0.0886, decode.loss_grad: 0.0000, loss: 0.0886, grad_norm: 0.0238 2024-01-03 22:09:29,270 - mmseg - INFO - Iter [22500/38400] lr: 1.833e-03, eta: 0:36:03, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0883, decode.loss_grad: 0.0000, loss: 0.0883, grad_norm: 0.0227 2024-01-03 22:09:35,753 - mmseg - INFO - Iter [22550/38400] lr: 1.824e-03, eta: 0:35:56, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0868, decode.loss_grad: 0.0000, loss: 0.0868, grad_norm: 0.0238 2024-01-03 22:09:42,270 - mmseg - INFO - Iter [22600/38400] lr: 1.814e-03, eta: 0:35:49, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0870, decode.loss_grad: 0.0000, loss: 0.0870, grad_norm: 0.0227 2024-01-03 22:09:48,812 - mmseg - INFO - Iter [22650/38400] lr: 1.804e-03, eta: 0:35:42, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0868, decode.loss_grad: 0.0000, loss: 0.0868, grad_norm: 0.0220 2024-01-03 22:09:55,390 - mmseg - INFO - Iter [22700/38400] lr: 1.794e-03, eta: 0:35:35, time: 0.132, data_time: 0.003, memory: 940, decode.loss_depth: 0.0883, decode.loss_grad: 0.0000, loss: 0.0883, grad_norm: 0.0224 2024-01-03 22:10:04,066 - mmseg - INFO - Iter [22750/38400] lr: 1.784e-03, eta: 0:35:30, time: 0.174, data_time: 0.046, memory: 940, decode.loss_depth: 0.0854, decode.loss_grad: 0.0000, loss: 0.0854, grad_norm: 0.0226 2024-01-03 22:10:10,569 - mmseg - INFO - Iter [22800/38400] lr: 1.774e-03, eta: 0:35:23, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0862, decode.loss_grad: 0.0000, loss: 0.0862, grad_norm: 0.0215 2024-01-03 22:10:17,086 - mmseg - INFO - Iter [22850/38400] lr: 1.765e-03, eta: 0:35:16, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0867, decode.loss_grad: 0.0000, loss: 0.0867, grad_norm: 0.0231 2024-01-03 22:10:23,578 - mmseg - INFO - Iter [22900/38400] lr: 1.755e-03, eta: 0:35:09, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0867, decode.loss_grad: 0.0000, loss: 0.0867, grad_norm: 0.0229 2024-01-03 22:10:30,053 - mmseg - INFO - Iter [22950/38400] lr: 1.745e-03, eta: 0:35:01, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0847, decode.loss_grad: 0.0000, loss: 0.0847, grad_norm: 0.0223 2024-01-03 22:10:36,644 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:10:36,645 - mmseg - INFO - Iter [23000/38400] lr: 1.735e-03, eta: 0:34:55, time: 0.132, data_time: 0.003, memory: 940, decode.loss_depth: 0.0862, decode.loss_grad: 0.0000, loss: 0.0862, grad_norm: 0.0223 2024-01-03 22:10:43,147 - mmseg - INFO - Iter [23050/38400] lr: 1.726e-03, eta: 0:34:48, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0875, decode.loss_grad: 0.0000, loss: 0.0875, grad_norm: 0.0220 2024-01-03 22:10:49,654 - mmseg - INFO - Iter [23100/38400] lr: 1.716e-03, eta: 0:34:41, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0880, decode.loss_grad: 0.0000, loss: 0.0880, grad_norm: 0.0226 2024-01-03 22:10:56,223 - mmseg - INFO - Iter [23150/38400] lr: 1.706e-03, eta: 0:34:34, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0851, decode.loss_grad: 0.0000, loss: 0.0851, grad_norm: 0.0239 2024-01-03 22:11:02,690 - mmseg - INFO - Iter [23200/38400] lr: 1.697e-03, eta: 0:34:27, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0880, decode.loss_grad: 0.0000, loss: 0.0880, grad_norm: 0.0250 2024-01-03 22:11:09,238 - mmseg - INFO - Iter [23250/38400] lr: 1.687e-03, eta: 0:34:20, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0875, decode.loss_grad: 0.0000, loss: 0.0875, grad_norm: 0.0231 2024-01-03 22:11:15,761 - mmseg - INFO - Iter [23300/38400] lr: 1.677e-03, eta: 0:34:13, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0875, decode.loss_grad: 0.0000, loss: 0.0875, grad_norm: 0.0226 2024-01-03 22:11:22,251 - mmseg - INFO - Iter [23350/38400] lr: 1.668e-03, eta: 0:34:06, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0876, decode.loss_grad: 0.0000, loss: 0.0876, grad_norm: 0.0233 2024-01-03 22:11:28,668 - mmseg - INFO - Iter [23400/38400] lr: 1.658e-03, eta: 0:33:59, time: 0.128, data_time: 0.003, memory: 940, decode.loss_depth: 0.0852, decode.loss_grad: 0.0000, loss: 0.0852, grad_norm: 0.0231 2024-01-03 22:11:35,148 - mmseg - INFO - Iter [23450/38400] lr: 1.648e-03, eta: 0:33:52, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0856, decode.loss_grad: 0.0000, loss: 0.0856, grad_norm: 0.0217 2024-01-03 22:11:41,625 - mmseg - INFO - Iter [23500/38400] lr: 1.639e-03, eta: 0:33:45, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0865, decode.loss_grad: 0.0000, loss: 0.0865, grad_norm: 0.0214 2024-01-03 22:11:48,166 - mmseg - INFO - Iter [23550/38400] lr: 1.629e-03, eta: 0:33:38, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0848, decode.loss_grad: 0.0000, loss: 0.0848, grad_norm: 0.0232 2024-01-03 22:11:54,742 - mmseg - INFO - Iter [23600/38400] lr: 1.620e-03, eta: 0:33:31, time: 0.132, data_time: 0.003, memory: 940, decode.loss_depth: 0.0860, decode.loss_grad: 0.0000, loss: 0.0860, grad_norm: 0.0231 2024-01-03 22:12:01,255 - mmseg - INFO - Iter [23650/38400] lr: 1.610e-03, eta: 0:33:24, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0868, decode.loss_grad: 0.0000, loss: 0.0868, grad_norm: 0.0228 2024-01-03 22:12:07,753 - mmseg - INFO - Iter [23700/38400] lr: 1.600e-03, eta: 0:33:17, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0871, decode.loss_grad: 0.0000, loss: 0.0871, grad_norm: 0.0224 2024-01-03 22:12:14,173 - mmseg - INFO - Iter [23750/38400] lr: 1.591e-03, eta: 0:33:10, time: 0.128, data_time: 0.003, memory: 940, decode.loss_depth: 0.0869, decode.loss_grad: 0.0000, loss: 0.0869, grad_norm: 0.0237 2024-01-03 22:12:20,658 - mmseg - INFO - Iter [23800/38400] lr: 1.581e-03, eta: 0:33:03, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0861, decode.loss_grad: 0.0000, loss: 0.0861, grad_norm: 0.0229 2024-01-03 22:12:27,200 - mmseg - INFO - Iter [23850/38400] lr: 1.572e-03, eta: 0:32:56, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0861, decode.loss_grad: 0.0000, loss: 0.0861, grad_norm: 0.0236 2024-01-03 22:12:33,732 - mmseg - INFO - Iter [23900/38400] lr: 1.562e-03, eta: 0:32:49, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0874, decode.loss_grad: 0.0000, loss: 0.0874, grad_norm: 0.0229 2024-01-03 22:12:40,251 - mmseg - INFO - Iter [23950/38400] lr: 1.553e-03, eta: 0:32:42, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0852, decode.loss_grad: 0.0000, loss: 0.0852, grad_norm: 0.0225 2024-01-03 22:12:46,758 - mmseg - INFO - Saving checkpoint at 24000 iterations 2024-01-03 22:12:46,779 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:12:46,780 - mmseg - INFO - Iter [24000/38400] lr: 1.543e-03, eta: 0:32:35, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0863, decode.loss_grad: 0.0000, loss: 0.0863, grad_norm: 0.0219 2024-01-03 22:12:53,283 - mmseg - INFO - Iter [24050/38400] lr: 1.534e-03, eta: 0:32:28, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0859, decode.loss_grad: 0.0000, loss: 0.0859, grad_norm: 0.0221 2024-01-03 22:12:59,790 - mmseg - INFO - Iter [24100/38400] lr: 1.525e-03, eta: 0:32:21, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0871, decode.loss_grad: 0.0000, loss: 0.0871, grad_norm: 0.0228 2024-01-03 22:13:06,304 - mmseg - INFO - Iter [24150/38400] lr: 1.515e-03, eta: 0:32:14, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0864, decode.loss_grad: 0.0000, loss: 0.0864, grad_norm: 0.0227 2024-01-03 22:13:12,819 - mmseg - INFO - Iter [24200/38400] lr: 1.506e-03, eta: 0:32:07, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0857, decode.loss_grad: 0.0000, loss: 0.0857, grad_norm: 0.0225 2024-01-03 22:13:21,434 - mmseg - INFO - Iter [24250/38400] lr: 1.496e-03, eta: 0:32:01, time: 0.172, data_time: 0.047, memory: 940, decode.loss_depth: 0.0849, decode.loss_grad: 0.0000, loss: 0.0849, grad_norm: 0.0220 2024-01-03 22:13:27,884 - mmseg - INFO - Iter [24300/38400] lr: 1.487e-03, eta: 0:31:54, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0852, decode.loss_grad: 0.0000, loss: 0.0852, grad_norm: 0.0217 2024-01-03 22:13:34,349 - mmseg - INFO - Iter [24350/38400] lr: 1.478e-03, eta: 0:31:47, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0859, decode.loss_grad: 0.0000, loss: 0.0859, grad_norm: 0.0215 2024-01-03 22:13:40,766 - mmseg - INFO - Iter [24400/38400] lr: 1.468e-03, eta: 0:31:40, time: 0.128, data_time: 0.003, memory: 940, decode.loss_depth: 0.0848, decode.loss_grad: 0.0000, loss: 0.0848, grad_norm: 0.0226 2024-01-03 22:13:47,341 - mmseg - INFO - Iter [24450/38400] lr: 1.459e-03, eta: 0:31:34, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0872, decode.loss_grad: 0.0000, loss: 0.0872, grad_norm: 0.0229 2024-01-03 22:13:53,897 - mmseg - INFO - Iter [24500/38400] lr: 1.450e-03, eta: 0:31:27, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0860, decode.loss_grad: 0.0000, loss: 0.0860, grad_norm: 0.0220 2024-01-03 22:14:00,442 - mmseg - INFO - Iter [24550/38400] lr: 1.441e-03, eta: 0:31:20, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0858, decode.loss_grad: 0.0000, loss: 0.0858, grad_norm: 0.0229 2024-01-03 22:14:06,862 - mmseg - INFO - Iter [24600/38400] lr: 1.431e-03, eta: 0:31:13, time: 0.128, data_time: 0.003, memory: 940, decode.loss_depth: 0.0841, decode.loss_grad: 0.0000, loss: 0.0841, grad_norm: 0.0213 2024-01-03 22:14:13,354 - mmseg - INFO - Iter [24650/38400] lr: 1.422e-03, eta: 0:31:06, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0856, decode.loss_grad: 0.0000, loss: 0.0856, grad_norm: 0.0229 2024-01-03 22:14:19,879 - mmseg - INFO - Iter [24700/38400] lr: 1.413e-03, eta: 0:30:59, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0837, decode.loss_grad: 0.0000, loss: 0.0837, grad_norm: 0.0217 2024-01-03 22:14:26,414 - mmseg - INFO - Iter [24750/38400] lr: 1.404e-03, eta: 0:30:52, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0872, decode.loss_grad: 0.0000, loss: 0.0872, grad_norm: 0.0219 2024-01-03 22:14:32,912 - mmseg - INFO - Iter [24800/38400] lr: 1.394e-03, eta: 0:30:45, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0851, decode.loss_grad: 0.0000, loss: 0.0851, grad_norm: 0.0225 2024-01-03 22:14:39,365 - mmseg - INFO - Iter [24850/38400] lr: 1.385e-03, eta: 0:30:38, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0864, decode.loss_grad: 0.0000, loss: 0.0864, grad_norm: 0.0218 2024-01-03 22:14:45,853 - mmseg - INFO - Iter [24900/38400] lr: 1.376e-03, eta: 0:30:31, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0849, decode.loss_grad: 0.0000, loss: 0.0849, grad_norm: 0.0221 2024-01-03 22:14:52,369 - mmseg - INFO - Iter [24950/38400] lr: 1.367e-03, eta: 0:30:24, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0846, decode.loss_grad: 0.0000, loss: 0.0846, grad_norm: 0.0229 2024-01-03 22:14:58,916 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:14:58,917 - mmseg - INFO - Iter [25000/38400] lr: 1.358e-03, eta: 0:30:17, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0854, decode.loss_grad: 0.0000, loss: 0.0854, grad_norm: 0.0220 2024-01-03 22:15:05,476 - mmseg - INFO - Iter [25050/38400] lr: 1.349e-03, eta: 0:30:10, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0834, decode.loss_grad: 0.0000, loss: 0.0834, grad_norm: 0.0226 2024-01-03 22:15:12,014 - mmseg - INFO - Iter [25100/38400] lr: 1.340e-03, eta: 0:30:03, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0841, decode.loss_grad: 0.0000, loss: 0.0841, grad_norm: 0.0224 2024-01-03 22:15:18,545 - mmseg - INFO - Iter [25150/38400] lr: 1.331e-03, eta: 0:29:56, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0836, decode.loss_grad: 0.0000, loss: 0.0836, grad_norm: 0.0216 2024-01-03 22:15:25,041 - mmseg - INFO - Iter [25200/38400] lr: 1.322e-03, eta: 0:29:50, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0852, decode.loss_grad: 0.0000, loss: 0.0852, grad_norm: 0.0227 2024-01-03 22:15:31,575 - mmseg - INFO - Iter [25250/38400] lr: 1.313e-03, eta: 0:29:43, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0834, decode.loss_grad: 0.0000, loss: 0.0834, grad_norm: 0.0219 2024-01-03 22:15:38,073 - mmseg - INFO - Iter [25300/38400] lr: 1.304e-03, eta: 0:29:36, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0849, decode.loss_grad: 0.0000, loss: 0.0849, grad_norm: 0.0224 2024-01-03 22:15:44,575 - mmseg - INFO - Iter [25350/38400] lr: 1.295e-03, eta: 0:29:29, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0830, decode.loss_grad: 0.0000, loss: 0.0830, grad_norm: 0.0232 2024-01-03 22:15:51,086 - mmseg - INFO - Iter [25400/38400] lr: 1.286e-03, eta: 0:29:22, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0840, decode.loss_grad: 0.0000, loss: 0.0840, grad_norm: 0.0226 2024-01-03 22:15:57,656 - mmseg - INFO - Iter [25450/38400] lr: 1.277e-03, eta: 0:29:15, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0855, decode.loss_grad: 0.0000, loss: 0.0855, grad_norm: 0.0231 2024-01-03 22:16:04,210 - mmseg - INFO - Iter [25500/38400] lr: 1.268e-03, eta: 0:29:08, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0835, decode.loss_grad: 0.0000, loss: 0.0835, grad_norm: 0.0221 2024-01-03 22:16:10,719 - mmseg - INFO - Iter [25550/38400] lr: 1.259e-03, eta: 0:29:01, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0845, decode.loss_grad: 0.0000, loss: 0.0845, grad_norm: 0.0216 2024-01-03 22:16:17,268 - mmseg - INFO - Saving checkpoint at 25600 iterations 2024-01-03 22:16:17,291 - mmseg - INFO - Iter [25600/38400] lr: 1.250e-03, eta: 0:28:54, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0862, decode.loss_grad: 0.0000, loss: 0.0862, grad_norm: 0.0229 2024-01-03 22:16:29,945 - mmseg - INFO - Summary: 2024-01-03 22:16:29,946 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.8831 | 0.9875 | 0.9982 | 0.1151 | 0.3873 | 0.0483 | 0.1407 | 11.2267 | 0.0598 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 22:16:29,946 - mmseg - INFO - Iter(val) [82] a1: 0.8831, a2: 0.9875, a3: 0.9982, abs_rel: 0.11513306945562363, rmse: 0.387330025434494, log_10: 0.04833017289638519, rmse_log: 0.14072716236114502, silog: 11.2267, sq_rel: 0.05979374796152115 2024-01-03 22:16:36,396 - mmseg - INFO - Iter [25650/38400] lr: 1.241e-03, eta: 0:28:54, time: 0.382, data_time: 0.256, memory: 940, decode.loss_depth: 0.0851, decode.loss_grad: 0.0000, loss: 0.0851, grad_norm: 0.0227 2024-01-03 22:16:42,929 - mmseg - INFO - Iter [25700/38400] lr: 1.233e-03, eta: 0:28:47, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0854, decode.loss_grad: 0.0000, loss: 0.0854, grad_norm: 0.0217 2024-01-03 22:16:51,600 - mmseg - INFO - Iter [25750/38400] lr: 1.224e-03, eta: 0:28:41, time: 0.173, data_time: 0.046, memory: 940, decode.loss_depth: 0.0851, decode.loss_grad: 0.0000, loss: 0.0851, grad_norm: 0.0233 2024-01-03 22:16:58,098 - mmseg - INFO - Iter [25800/38400] lr: 1.215e-03, eta: 0:28:34, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0844, decode.loss_grad: 0.0000, loss: 0.0844, grad_norm: 0.0219 2024-01-03 22:17:04,613 - mmseg - INFO - Iter [25850/38400] lr: 1.206e-03, eta: 0:28:27, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0826, decode.loss_grad: 0.0000, loss: 0.0826, grad_norm: 0.0220 2024-01-03 22:17:11,127 - mmseg - INFO - Iter [25900/38400] lr: 1.197e-03, eta: 0:28:20, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0835, decode.loss_grad: 0.0000, loss: 0.0835, grad_norm: 0.0206 2024-01-03 22:17:17,613 - mmseg - INFO - Iter [25950/38400] lr: 1.189e-03, eta: 0:28:13, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0834, decode.loss_grad: 0.0000, loss: 0.0834, grad_norm: 0.0226 2024-01-03 22:17:24,084 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:17:24,084 - mmseg - INFO - Iter [26000/38400] lr: 1.180e-03, eta: 0:28:06, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0849, decode.loss_grad: 0.0000, loss: 0.0849, grad_norm: 0.0226 2024-01-03 22:17:30,571 - mmseg - INFO - Iter [26050/38400] lr: 1.171e-03, eta: 0:27:59, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0839, decode.loss_grad: 0.0000, loss: 0.0839, grad_norm: 0.0211 2024-01-03 22:17:37,037 - mmseg - INFO - Iter [26100/38400] lr: 1.163e-03, eta: 0:27:52, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0831, decode.loss_grad: 0.0000, loss: 0.0831, grad_norm: 0.0226 2024-01-03 22:17:43,485 - mmseg - INFO - Iter [26150/38400] lr: 1.154e-03, eta: 0:27:45, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0850, decode.loss_grad: 0.0000, loss: 0.0850, grad_norm: 0.0232 2024-01-03 22:17:49,977 - mmseg - INFO - Iter [26200/38400] lr: 1.145e-03, eta: 0:27:38, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0840, decode.loss_grad: 0.0000, loss: 0.0840, grad_norm: 0.0219 2024-01-03 22:17:56,529 - mmseg - INFO - Iter [26250/38400] lr: 1.137e-03, eta: 0:27:31, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0835, decode.loss_grad: 0.0000, loss: 0.0835, grad_norm: 0.0215 2024-01-03 22:18:02,982 - mmseg - INFO - Iter [26300/38400] lr: 1.128e-03, eta: 0:27:24, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0838, decode.loss_grad: 0.0000, loss: 0.0838, grad_norm: 0.0221 2024-01-03 22:18:09,448 - mmseg - INFO - Iter [26350/38400] lr: 1.120e-03, eta: 0:27:17, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0818, decode.loss_grad: 0.0000, loss: 0.0818, grad_norm: 0.0221 2024-01-03 22:18:15,983 - mmseg - INFO - Iter [26400/38400] lr: 1.111e-03, eta: 0:27:11, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0841, decode.loss_grad: 0.0000, loss: 0.0841, grad_norm: 0.0227 2024-01-03 22:18:22,534 - mmseg - INFO - Iter [26450/38400] lr: 1.103e-03, eta: 0:27:04, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0850, decode.loss_grad: 0.0000, loss: 0.0850, grad_norm: 0.0231 2024-01-03 22:18:29,017 - mmseg - INFO - Iter [26500/38400] lr: 1.094e-03, eta: 0:26:57, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0840, decode.loss_grad: 0.0000, loss: 0.0840, grad_norm: 0.0224 2024-01-03 22:18:35,456 - mmseg - INFO - Iter [26550/38400] lr: 1.086e-03, eta: 0:26:50, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0835, decode.loss_grad: 0.0000, loss: 0.0835, grad_norm: 0.0218 2024-01-03 22:18:42,017 - mmseg - INFO - Iter [26600/38400] lr: 1.077e-03, eta: 0:26:43, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0835, decode.loss_grad: 0.0000, loss: 0.0835, grad_norm: 0.0213 2024-01-03 22:18:48,600 - mmseg - INFO - Iter [26650/38400] lr: 1.069e-03, eta: 0:26:36, time: 0.132, data_time: 0.003, memory: 940, decode.loss_depth: 0.0845, decode.loss_grad: 0.0000, loss: 0.0845, grad_norm: 0.0227 2024-01-03 22:18:55,141 - mmseg - INFO - Iter [26700/38400] lr: 1.061e-03, eta: 0:26:29, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0823, decode.loss_grad: 0.0000, loss: 0.0823, grad_norm: 0.0212 2024-01-03 22:19:01,644 - mmseg - INFO - Iter [26750/38400] lr: 1.052e-03, eta: 0:26:22, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0839, decode.loss_grad: 0.0000, loss: 0.0839, grad_norm: 0.0219 2024-01-03 22:19:08,130 - mmseg - INFO - Iter [26800/38400] lr: 1.044e-03, eta: 0:26:15, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0831, decode.loss_grad: 0.0000, loss: 0.0831, grad_norm: 0.0218 2024-01-03 22:19:14,573 - mmseg - INFO - Iter [26850/38400] lr: 1.036e-03, eta: 0:26:08, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0858, decode.loss_grad: 0.0000, loss: 0.0858, grad_norm: 0.0220 2024-01-03 22:19:21,082 - mmseg - INFO - Iter [26900/38400] lr: 1.027e-03, eta: 0:26:01, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0816, decode.loss_grad: 0.0000, loss: 0.0816, grad_norm: 0.0215 2024-01-03 22:19:27,611 - mmseg - INFO - Iter [26950/38400] lr: 1.019e-03, eta: 0:25:54, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0852, decode.loss_grad: 0.0000, loss: 0.0852, grad_norm: 0.0222 2024-01-03 22:19:34,071 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:19:34,071 - mmseg - INFO - Iter [27000/38400] lr: 1.011e-03, eta: 0:25:48, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0832, decode.loss_grad: 0.0000, loss: 0.0832, grad_norm: 0.0217 2024-01-03 22:19:40,602 - mmseg - INFO - Iter [27050/38400] lr: 1.003e-03, eta: 0:25:41, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0827, decode.loss_grad: 0.0000, loss: 0.0827, grad_norm: 0.0214 2024-01-03 22:19:47,056 - mmseg - INFO - Iter [27100/38400] lr: 9.945e-04, eta: 0:25:34, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0834, decode.loss_grad: 0.0000, loss: 0.0834, grad_norm: 0.0219 2024-01-03 22:19:53,565 - mmseg - INFO - Iter [27150/38400] lr: 9.864e-04, eta: 0:25:27, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0832, decode.loss_grad: 0.0000, loss: 0.0832, grad_norm: 0.0218 2024-01-03 22:20:00,105 - mmseg - INFO - Saving checkpoint at 27200 iterations 2024-01-03 22:20:00,127 - mmseg - INFO - Iter [27200/38400] lr: 9.783e-04, eta: 0:25:20, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0831, decode.loss_grad: 0.0000, loss: 0.0831, grad_norm: 0.0219 2024-01-03 22:20:06,609 - mmseg - INFO - Iter [27250/38400] lr: 9.702e-04, eta: 0:25:13, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0820, decode.loss_grad: 0.0000, loss: 0.0820, grad_norm: 0.0217 2024-01-03 22:20:15,292 - mmseg - INFO - Iter [27300/38400] lr: 9.621e-04, eta: 0:25:07, time: 0.174, data_time: 0.045, memory: 940, decode.loss_depth: 0.0840, decode.loss_grad: 0.0000, loss: 0.0840, grad_norm: 0.0220 2024-01-03 22:20:21,759 - mmseg - INFO - Iter [27350/38400] lr: 9.540e-04, eta: 0:25:00, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0827, decode.loss_grad: 0.0000, loss: 0.0827, grad_norm: 0.0210 2024-01-03 22:20:28,286 - mmseg - INFO - Iter [27400/38400] lr: 9.460e-04, eta: 0:24:53, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0818, decode.loss_grad: 0.0000, loss: 0.0818, grad_norm: 0.0221 2024-01-03 22:20:34,800 - mmseg - INFO - Iter [27450/38400] lr: 9.380e-04, eta: 0:24:46, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0830, decode.loss_grad: 0.0000, loss: 0.0830, grad_norm: 0.0216 2024-01-03 22:20:41,307 - mmseg - INFO - Iter [27500/38400] lr: 9.300e-04, eta: 0:24:39, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0822, decode.loss_grad: 0.0000, loss: 0.0822, grad_norm: 0.0211 2024-01-03 22:20:47,837 - mmseg - INFO - Iter [27550/38400] lr: 9.221e-04, eta: 0:24:32, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0825, decode.loss_grad: 0.0000, loss: 0.0825, grad_norm: 0.0211 2024-01-03 22:20:54,356 - mmseg - INFO - Iter [27600/38400] lr: 9.142e-04, eta: 0:24:26, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0827, decode.loss_grad: 0.0000, loss: 0.0827, grad_norm: 0.0212 2024-01-03 22:21:00,842 - mmseg - INFO - Iter [27650/38400] lr: 9.063e-04, eta: 0:24:19, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0825, decode.loss_grad: 0.0000, loss: 0.0825, grad_norm: 0.0214 2024-01-03 22:21:07,384 - mmseg - INFO - Iter [27700/38400] lr: 8.984e-04, eta: 0:24:12, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0807, decode.loss_grad: 0.0000, loss: 0.0807, grad_norm: 0.0222 2024-01-03 22:21:13,949 - mmseg - INFO - Iter [27750/38400] lr: 8.906e-04, eta: 0:24:05, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0806, decode.loss_grad: 0.0000, loss: 0.0806, grad_norm: 0.0209 2024-01-03 22:21:20,501 - mmseg - INFO - Iter [27800/38400] lr: 8.828e-04, eta: 0:23:58, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0825, decode.loss_grad: 0.0000, loss: 0.0825, grad_norm: 0.0217 2024-01-03 22:21:27,102 - mmseg - INFO - Iter [27850/38400] lr: 8.750e-04, eta: 0:23:51, time: 0.132, data_time: 0.003, memory: 940, decode.loss_depth: 0.0834, decode.loss_grad: 0.0000, loss: 0.0834, grad_norm: 0.0226 2024-01-03 22:21:33,626 - mmseg - INFO - Iter [27900/38400] lr: 8.672e-04, eta: 0:23:44, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0826, decode.loss_grad: 0.0000, loss: 0.0826, grad_norm: 0.0219 2024-01-03 22:21:40,182 - mmseg - INFO - Iter [27950/38400] lr: 8.595e-04, eta: 0:23:37, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0814, decode.loss_grad: 0.0000, loss: 0.0814, grad_norm: 0.0220 2024-01-03 22:21:46,634 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:21:46,634 - mmseg - INFO - Iter [28000/38400] lr: 8.518e-04, eta: 0:23:31, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0805, decode.loss_grad: 0.0000, loss: 0.0805, grad_norm: 0.0207 2024-01-03 22:21:53,054 - mmseg - INFO - Iter [28050/38400] lr: 8.441e-04, eta: 0:23:24, time: 0.128, data_time: 0.003, memory: 940, decode.loss_depth: 0.0841, decode.loss_grad: 0.0000, loss: 0.0841, grad_norm: 0.0214 2024-01-03 22:21:59,570 - mmseg - INFO - Iter [28100/38400] lr: 8.365e-04, eta: 0:23:17, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0829, decode.loss_grad: 0.0000, loss: 0.0829, grad_norm: 0.0211 2024-01-03 22:22:06,034 - mmseg - INFO - Iter [28150/38400] lr: 8.288e-04, eta: 0:23:10, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0823, decode.loss_grad: 0.0000, loss: 0.0823, grad_norm: 0.0219 2024-01-03 22:22:12,620 - mmseg - INFO - Iter [28200/38400] lr: 8.213e-04, eta: 0:23:03, time: 0.132, data_time: 0.003, memory: 940, decode.loss_depth: 0.0822, decode.loss_grad: 0.0000, loss: 0.0822, grad_norm: 0.0222 2024-01-03 22:22:19,114 - mmseg - INFO - Iter [28250/38400] lr: 8.137e-04, eta: 0:22:56, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0798, decode.loss_grad: 0.0000, loss: 0.0798, grad_norm: 0.0209 2024-01-03 22:22:25,605 - mmseg - INFO - Iter [28300/38400] lr: 8.062e-04, eta: 0:22:49, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0843, decode.loss_grad: 0.0000, loss: 0.0843, grad_norm: 0.0219 2024-01-03 22:22:32,060 - mmseg - INFO - Iter [28350/38400] lr: 7.986e-04, eta: 0:22:42, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0827, decode.loss_grad: 0.0000, loss: 0.0827, grad_norm: 0.0213 2024-01-03 22:22:38,578 - mmseg - INFO - Iter [28400/38400] lr: 7.912e-04, eta: 0:22:35, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0830, decode.loss_grad: 0.0000, loss: 0.0830, grad_norm: 0.0209 2024-01-03 22:22:45,308 - mmseg - INFO - Iter [28450/38400] lr: 7.837e-04, eta: 0:22:29, time: 0.135, data_time: 0.003, memory: 940, decode.loss_depth: 0.0845, decode.loss_grad: 0.0000, loss: 0.0845, grad_norm: 0.0216 2024-01-03 22:22:51,933 - mmseg - INFO - Iter [28500/38400] lr: 7.763e-04, eta: 0:22:22, time: 0.133, data_time: 0.003, memory: 940, decode.loss_depth: 0.0821, decode.loss_grad: 0.0000, loss: 0.0821, grad_norm: 0.0226 2024-01-03 22:22:58,427 - mmseg - INFO - Iter [28550/38400] lr: 7.689e-04, eta: 0:22:15, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0821, decode.loss_grad: 0.0000, loss: 0.0821, grad_norm: 0.0212 2024-01-03 22:23:04,858 - mmseg - INFO - Iter [28600/38400] lr: 7.615e-04, eta: 0:22:08, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0842, decode.loss_grad: 0.0000, loss: 0.0842, grad_norm: 0.0214 2024-01-03 22:23:11,300 - mmseg - INFO - Iter [28650/38400] lr: 7.542e-04, eta: 0:22:01, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0823, decode.loss_grad: 0.0000, loss: 0.0823, grad_norm: 0.0223 2024-01-03 22:23:17,753 - mmseg - INFO - Iter [28700/38400] lr: 7.469e-04, eta: 0:21:54, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0843, decode.loss_grad: 0.0000, loss: 0.0843, grad_norm: 0.0220 2024-01-03 22:23:24,257 - mmseg - INFO - Iter [28750/38400] lr: 7.396e-04, eta: 0:21:47, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0832, decode.loss_grad: 0.0000, loss: 0.0832, grad_norm: 0.0224 2024-01-03 22:23:32,967 - mmseg - INFO - Saving checkpoint at 28800 iterations 2024-01-03 22:23:32,998 - mmseg - INFO - Iter [28800/38400] lr: 7.324e-04, eta: 0:21:41, time: 0.175, data_time: 0.047, memory: 940, decode.loss_depth: 0.0816, decode.loss_grad: 0.0000, loss: 0.0816, grad_norm: 0.0219 2024-01-03 22:23:45,700 - mmseg - INFO - Summary: 2024-01-03 22:23:45,701 - mmseg - INFO - +--------+-------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+-------+--------+---------+--------+--------+----------+---------+--------+ | 0.8826 | 0.988 | 0.9983 | 0.1154 | 0.3881 | 0.0484 | 0.1407 | 11.1936 | 0.06 | +--------+-------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 22:23:45,701 - mmseg - INFO - Iter(val) [82] a1: 0.8826, a2: 0.9880, a3: 0.9983, abs_rel: 0.11542198061943054, rmse: 0.3880728483200073, log_10: 0.04837089031934738, rmse_log: 0.14070381224155426, silog: 11.1936, sq_rel: 0.0600074864923954 2024-01-03 22:23:52,132 - mmseg - INFO - Iter [28850/38400] lr: 7.252e-04, eta: 0:21:39, time: 0.383, data_time: 0.257, memory: 940, decode.loss_depth: 0.0813, decode.loss_grad: 0.0000, loss: 0.0813, grad_norm: 0.0211 2024-01-03 22:23:58,563 - mmseg - INFO - Iter [28900/38400] lr: 7.180e-04, eta: 0:21:32, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0815, decode.loss_grad: 0.0000, loss: 0.0815, grad_norm: 0.0213 2024-01-03 22:24:05,003 - mmseg - INFO - Iter [28950/38400] lr: 7.108e-04, eta: 0:21:25, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0836, decode.loss_grad: 0.0000, loss: 0.0836, grad_norm: 0.0219 2024-01-03 22:24:11,436 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:24:11,436 - mmseg - INFO - Iter [29000/38400] lr: 7.037e-04, eta: 0:21:18, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0823, decode.loss_grad: 0.0000, loss: 0.0823, grad_norm: 0.0209 2024-01-03 22:24:17,901 - mmseg - INFO - Iter [29050/38400] lr: 6.966e-04, eta: 0:21:11, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0827, decode.loss_grad: 0.0000, loss: 0.0827, grad_norm: 0.0214 2024-01-03 22:24:24,333 - mmseg - INFO - Iter [29100/38400] lr: 6.895e-04, eta: 0:21:04, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0810, decode.loss_grad: 0.0000, loss: 0.0810, grad_norm: 0.0221 2024-01-03 22:24:30,731 - mmseg - INFO - Iter [29150/38400] lr: 6.825e-04, eta: 0:20:57, time: 0.128, data_time: 0.003, memory: 940, decode.loss_depth: 0.0833, decode.loss_grad: 0.0000, loss: 0.0833, grad_norm: 0.0205 2024-01-03 22:24:37,174 - mmseg - INFO - Iter [29200/38400] lr: 6.755e-04, eta: 0:20:50, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0813, decode.loss_grad: 0.0000, loss: 0.0813, grad_norm: 0.0209 2024-01-03 22:24:43,600 - mmseg - INFO - Iter [29250/38400] lr: 6.685e-04, eta: 0:20:43, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0814, decode.loss_grad: 0.0000, loss: 0.0814, grad_norm: 0.0210 2024-01-03 22:24:50,010 - mmseg - INFO - Iter [29300/38400] lr: 6.616e-04, eta: 0:20:36, time: 0.128, data_time: 0.003, memory: 940, decode.loss_depth: 0.0810, decode.loss_grad: 0.0000, loss: 0.0810, grad_norm: 0.0213 2024-01-03 22:24:56,466 - mmseg - INFO - Iter [29350/38400] lr: 6.546e-04, eta: 0:20:29, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0837, decode.loss_grad: 0.0000, loss: 0.0837, grad_norm: 0.0224 2024-01-03 22:25:02,937 - mmseg - INFO - Iter [29400/38400] lr: 6.478e-04, eta: 0:20:23, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0820, decode.loss_grad: 0.0000, loss: 0.0820, grad_norm: 0.0214 2024-01-03 22:25:09,445 - mmseg - INFO - Iter [29450/38400] lr: 6.409e-04, eta: 0:20:16, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0834, decode.loss_grad: 0.0000, loss: 0.0834, grad_norm: 0.0228 2024-01-03 22:25:15,952 - mmseg - INFO - Iter [29500/38400] lr: 6.341e-04, eta: 0:20:09, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0804, decode.loss_grad: 0.0000, loss: 0.0804, grad_norm: 0.0213 2024-01-03 22:25:22,411 - mmseg - INFO - Iter [29550/38400] lr: 6.273e-04, eta: 0:20:02, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0822, decode.loss_grad: 0.0000, loss: 0.0822, grad_norm: 0.0217 2024-01-03 22:25:28,851 - mmseg - INFO - Iter [29600/38400] lr: 6.205e-04, eta: 0:19:55, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0814, decode.loss_grad: 0.0000, loss: 0.0814, grad_norm: 0.0210 2024-01-03 22:25:35,299 - mmseg - INFO - Iter [29650/38400] lr: 6.138e-04, eta: 0:19:48, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0822, decode.loss_grad: 0.0000, loss: 0.0822, grad_norm: 0.0208 2024-01-03 22:25:41,729 - mmseg - INFO - Iter [29700/38400] lr: 6.071e-04, eta: 0:19:41, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0820, decode.loss_grad: 0.0000, loss: 0.0820, grad_norm: 0.0201 2024-01-03 22:25:48,293 - mmseg - INFO - Iter [29750/38400] lr: 6.004e-04, eta: 0:19:34, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0806, decode.loss_grad: 0.0000, loss: 0.0806, grad_norm: 0.0196 2024-01-03 22:25:54,782 - mmseg - INFO - Iter [29800/38400] lr: 5.938e-04, eta: 0:19:27, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0816, decode.loss_grad: 0.0000, loss: 0.0816, grad_norm: 0.0210 2024-01-03 22:26:01,197 - mmseg - INFO - Iter [29850/38400] lr: 5.872e-04, eta: 0:19:21, time: 0.128, data_time: 0.003, memory: 940, decode.loss_depth: 0.0803, decode.loss_grad: 0.0000, loss: 0.0803, grad_norm: 0.0216 2024-01-03 22:26:07,657 - mmseg - INFO - Iter [29900/38400] lr: 5.806e-04, eta: 0:19:14, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0804, decode.loss_grad: 0.0000, loss: 0.0804, grad_norm: 0.0211 2024-01-03 22:26:14,185 - mmseg - INFO - Iter [29950/38400] lr: 5.741e-04, eta: 0:19:07, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0815, decode.loss_grad: 0.0000, loss: 0.0815, grad_norm: 0.0212 2024-01-03 22:26:20,642 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:26:20,642 - mmseg - INFO - Iter [30000/38400] lr: 5.676e-04, eta: 0:19:00, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0824, decode.loss_grad: 0.0000, loss: 0.0824, grad_norm: 0.0220 2024-01-03 22:26:27,121 - mmseg - INFO - Iter [30050/38400] lr: 5.611e-04, eta: 0:18:53, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0813, decode.loss_grad: 0.0000, loss: 0.0813, grad_norm: 0.0224 2024-01-03 22:26:33,597 - mmseg - INFO - Iter [30100/38400] lr: 5.547e-04, eta: 0:18:46, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0806, decode.loss_grad: 0.0000, loss: 0.0806, grad_norm: 0.0214 2024-01-03 22:26:40,080 - mmseg - INFO - Iter [30150/38400] lr: 5.483e-04, eta: 0:18:39, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0792, decode.loss_grad: 0.0000, loss: 0.0792, grad_norm: 0.0206 2024-01-03 22:26:46,661 - mmseg - INFO - Iter [30200/38400] lr: 5.419e-04, eta: 0:18:32, time: 0.132, data_time: 0.003, memory: 940, decode.loss_depth: 0.0825, decode.loss_grad: 0.0000, loss: 0.0825, grad_norm: 0.0221 2024-01-03 22:26:53,077 - mmseg - INFO - Iter [30250/38400] lr: 5.356e-04, eta: 0:18:26, time: 0.128, data_time: 0.003, memory: 940, decode.loss_depth: 0.0821, decode.loss_grad: 0.0000, loss: 0.0821, grad_norm: 0.0214 2024-01-03 22:27:01,721 - mmseg - INFO - Iter [30300/38400] lr: 5.293e-04, eta: 0:18:19, time: 0.173, data_time: 0.045, memory: 940, decode.loss_depth: 0.0816, decode.loss_grad: 0.0000, loss: 0.0816, grad_norm: 0.0213 2024-01-03 22:27:08,212 - mmseg - INFO - Iter [30350/38400] lr: 5.230e-04, eta: 0:18:12, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0795, decode.loss_grad: 0.0000, loss: 0.0795, grad_norm: 0.0205 2024-01-03 22:27:14,668 - mmseg - INFO - Saving checkpoint at 30400 iterations 2024-01-03 22:27:14,690 - mmseg - INFO - Iter [30400/38400] lr: 5.167e-04, eta: 0:18:06, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0821, decode.loss_grad: 0.0000, loss: 0.0821, grad_norm: 0.0214 2024-01-03 22:27:21,144 - mmseg - INFO - Iter [30450/38400] lr: 5.105e-04, eta: 0:17:59, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0801, decode.loss_grad: 0.0000, loss: 0.0801, grad_norm: 0.0215 2024-01-03 22:27:27,617 - mmseg - INFO - Iter [30500/38400] lr: 5.044e-04, eta: 0:17:52, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0811, decode.loss_grad: 0.0000, loss: 0.0811, grad_norm: 0.0210 2024-01-03 22:27:34,064 - mmseg - INFO - Iter [30550/38400] lr: 4.982e-04, eta: 0:17:45, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0821, decode.loss_grad: 0.0000, loss: 0.0821, grad_norm: 0.0212 2024-01-03 22:27:40,516 - mmseg - INFO - Iter [30600/38400] lr: 4.921e-04, eta: 0:17:38, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0814, decode.loss_grad: 0.0000, loss: 0.0814, grad_norm: 0.0208 2024-01-03 22:27:47,034 - mmseg - INFO - Iter [30650/38400] lr: 4.860e-04, eta: 0:17:31, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0804, decode.loss_grad: 0.0000, loss: 0.0804, grad_norm: 0.0213 2024-01-03 22:27:53,545 - mmseg - INFO - Iter [30700/38400] lr: 4.800e-04, eta: 0:17:24, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0808, decode.loss_grad: 0.0000, loss: 0.0808, grad_norm: 0.0215 2024-01-03 22:28:00,020 - mmseg - INFO - Iter [30750/38400] lr: 4.740e-04, eta: 0:17:17, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0816, decode.loss_grad: 0.0000, loss: 0.0816, grad_norm: 0.0213 2024-01-03 22:28:06,551 - mmseg - INFO - Iter [30800/38400] lr: 4.680e-04, eta: 0:17:11, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0813, decode.loss_grad: 0.0000, loss: 0.0813, grad_norm: 0.0202 2024-01-03 22:28:12,997 - mmseg - INFO - Iter [30850/38400] lr: 4.621e-04, eta: 0:17:04, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0788, decode.loss_grad: 0.0000, loss: 0.0788, grad_norm: 0.0206 2024-01-03 22:28:19,503 - mmseg - INFO - Iter [30900/38400] lr: 4.562e-04, eta: 0:16:57, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0832, decode.loss_grad: 0.0000, loss: 0.0832, grad_norm: 0.0212 2024-01-03 22:28:26,006 - mmseg - INFO - Iter [30950/38400] lr: 4.503e-04, eta: 0:16:50, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0796, decode.loss_grad: 0.0000, loss: 0.0796, grad_norm: 0.0217 2024-01-03 22:28:32,446 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:28:32,446 - mmseg - INFO - Iter [31000/38400] lr: 4.444e-04, eta: 0:16:43, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0825, decode.loss_grad: 0.0000, loss: 0.0825, grad_norm: 0.0217 2024-01-03 22:28:38,934 - mmseg - INFO - Iter [31050/38400] lr: 4.386e-04, eta: 0:16:36, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0793, decode.loss_grad: 0.0000, loss: 0.0793, grad_norm: 0.0202 2024-01-03 22:28:45,449 - mmseg - INFO - Iter [31100/38400] lr: 4.329e-04, eta: 0:16:30, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0808, decode.loss_grad: 0.0000, loss: 0.0808, grad_norm: 0.0209 2024-01-03 22:28:51,895 - mmseg - INFO - Iter [31150/38400] lr: 4.271e-04, eta: 0:16:23, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0807, decode.loss_grad: 0.0000, loss: 0.0807, grad_norm: 0.0212 2024-01-03 22:28:58,381 - mmseg - INFO - Iter [31200/38400] lr: 4.214e-04, eta: 0:16:16, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0801, decode.loss_grad: 0.0000, loss: 0.0801, grad_norm: 0.0216 2024-01-03 22:29:04,872 - mmseg - INFO - Iter [31250/38400] lr: 4.158e-04, eta: 0:16:09, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0816, decode.loss_grad: 0.0000, loss: 0.0816, grad_norm: 0.0210 2024-01-03 22:29:11,303 - mmseg - INFO - Iter [31300/38400] lr: 4.101e-04, eta: 0:16:02, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0808, decode.loss_grad: 0.0000, loss: 0.0808, grad_norm: 0.0217 2024-01-03 22:29:17,757 - mmseg - INFO - Iter [31350/38400] lr: 4.045e-04, eta: 0:15:55, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0816, decode.loss_grad: 0.0000, loss: 0.0816, grad_norm: 0.0215 2024-01-03 22:29:24,280 - mmseg - INFO - Iter [31400/38400] lr: 3.990e-04, eta: 0:15:48, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0805, decode.loss_grad: 0.0000, loss: 0.0805, grad_norm: 0.0207 2024-01-03 22:29:30,774 - mmseg - INFO - Iter [31450/38400] lr: 3.935e-04, eta: 0:15:42, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0806, decode.loss_grad: 0.0000, loss: 0.0806, grad_norm: 0.0206 2024-01-03 22:29:37,263 - mmseg - INFO - Iter [31500/38400] lr: 3.880e-04, eta: 0:15:35, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0805, decode.loss_grad: 0.0000, loss: 0.0805, grad_norm: 0.0212 2024-01-03 22:29:43,804 - mmseg - INFO - Iter [31550/38400] lr: 3.825e-04, eta: 0:15:28, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0802, decode.loss_grad: 0.0000, loss: 0.0802, grad_norm: 0.0214 2024-01-03 22:29:50,316 - mmseg - INFO - Iter [31600/38400] lr: 3.771e-04, eta: 0:15:21, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0800, decode.loss_grad: 0.0000, loss: 0.0800, grad_norm: 0.0207 2024-01-03 22:29:56,866 - mmseg - INFO - Iter [31650/38400] lr: 3.717e-04, eta: 0:15:14, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0815, decode.loss_grad: 0.0000, loss: 0.0815, grad_norm: 0.0206 2024-01-03 22:30:03,431 - mmseg - INFO - Iter [31700/38400] lr: 3.664e-04, eta: 0:15:07, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0831, decode.loss_grad: 0.0000, loss: 0.0831, grad_norm: 0.0205 2024-01-03 22:30:09,923 - mmseg - INFO - Iter [31750/38400] lr: 3.611e-04, eta: 0:15:01, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0836, decode.loss_grad: 0.0000, loss: 0.0836, grad_norm: 0.0206 2024-01-03 22:30:18,575 - mmseg - INFO - Iter [31800/38400] lr: 3.558e-04, eta: 0:14:54, time: 0.173, data_time: 0.046, memory: 940, decode.loss_depth: 0.0801, decode.loss_grad: 0.0000, loss: 0.0801, grad_norm: 0.0207 2024-01-03 22:30:25,131 - mmseg - INFO - Iter [31850/38400] lr: 3.505e-04, eta: 0:14:47, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0778, decode.loss_grad: 0.0000, loss: 0.0778, grad_norm: 0.0212 2024-01-03 22:30:31,611 - mmseg - INFO - Iter [31900/38400] lr: 3.453e-04, eta: 0:14:41, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0794, decode.loss_grad: 0.0000, loss: 0.0794, grad_norm: 0.0207 2024-01-03 22:30:38,148 - mmseg - INFO - Iter [31950/38400] lr: 3.402e-04, eta: 0:14:34, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0805, decode.loss_grad: 0.0000, loss: 0.0805, grad_norm: 0.0214 2024-01-03 22:30:44,758 - mmseg - INFO - Saving checkpoint at 32000 iterations 2024-01-03 22:30:44,787 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:30:44,788 - mmseg - INFO - Iter [32000/38400] lr: 3.350e-04, eta: 0:14:27, time: 0.133, data_time: 0.003, memory: 940, decode.loss_depth: 0.0804, decode.loss_grad: 0.0000, loss: 0.0804, grad_norm: 0.0208 2024-01-03 22:30:57,690 - mmseg - INFO - Summary: 2024-01-03 22:30:57,691 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+--------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+--------+--------+ | 0.8819 | 0.9878 | 0.9983 | 0.1154 | 0.3881 | 0.0484 | 0.1409 | 11.207 | 0.0599 | +--------+--------+--------+---------+--------+--------+----------+--------+--------+ 2024-01-03 22:30:57,691 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:30:57,691 - mmseg - INFO - Iter(val) [82] a1: 0.8819, a2: 0.9878, a3: 0.9983, abs_rel: 0.11538629978895187, rmse: 0.3881303668022156, log_10: 0.04844055324792862, rmse_log: 0.14086401462554932, silog: 11.2070, sq_rel: 0.05990033596754074 2024-01-03 22:31:04,163 - mmseg - INFO - Iter [32050/38400] lr: 3.299e-04, eta: 0:14:23, time: 0.387, data_time: 0.261, memory: 940, decode.loss_depth: 0.0821, decode.loss_grad: 0.0000, loss: 0.0821, grad_norm: 0.0209 2024-01-03 22:31:10,630 - mmseg - INFO - Iter [32100/38400] lr: 3.249e-04, eta: 0:14:16, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0816, decode.loss_grad: 0.0000, loss: 0.0816, grad_norm: 0.0201 2024-01-03 22:31:17,069 - mmseg - INFO - Iter [32150/38400] lr: 3.199e-04, eta: 0:14:09, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0797, decode.loss_grad: 0.0000, loss: 0.0797, grad_norm: 0.0204 2024-01-03 22:31:23,501 - mmseg - INFO - Iter [32200/38400] lr: 3.149e-04, eta: 0:14:02, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0797, decode.loss_grad: 0.0000, loss: 0.0797, grad_norm: 0.0209 2024-01-03 22:31:29,964 - mmseg - INFO - Iter [32250/38400] lr: 3.099e-04, eta: 0:13:55, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0801, decode.loss_grad: 0.0000, loss: 0.0801, grad_norm: 0.0204 2024-01-03 22:31:36,450 - mmseg - INFO - Iter [32300/38400] lr: 3.050e-04, eta: 0:13:48, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0787, decode.loss_grad: 0.0000, loss: 0.0787, grad_norm: 0.0201 2024-01-03 22:31:42,941 - mmseg - INFO - Iter [32350/38400] lr: 3.001e-04, eta: 0:13:41, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0793, decode.loss_grad: 0.0000, loss: 0.0793, grad_norm: 0.0201 2024-01-03 22:31:49,412 - mmseg - INFO - Iter [32400/38400] lr: 2.953e-04, eta: 0:13:35, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0810, decode.loss_grad: 0.0000, loss: 0.0810, grad_norm: 0.0206 2024-01-03 22:31:55,926 - mmseg - INFO - Iter [32450/38400] lr: 2.905e-04, eta: 0:13:28, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0806, decode.loss_grad: 0.0000, loss: 0.0806, grad_norm: 0.0208 2024-01-03 22:32:02,409 - mmseg - INFO - Iter [32500/38400] lr: 2.857e-04, eta: 0:13:21, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0816, decode.loss_grad: 0.0000, loss: 0.0816, grad_norm: 0.0205 2024-01-03 22:32:08,918 - mmseg - INFO - Iter [32550/38400] lr: 2.810e-04, eta: 0:13:14, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0818, decode.loss_grad: 0.0000, loss: 0.0818, grad_norm: 0.0203 2024-01-03 22:32:15,343 - mmseg - INFO - Iter [32600/38400] lr: 2.763e-04, eta: 0:13:07, time: 0.128, data_time: 0.003, memory: 940, decode.loss_depth: 0.0810, decode.loss_grad: 0.0000, loss: 0.0810, grad_norm: 0.0204 2024-01-03 22:32:21,817 - mmseg - INFO - Iter [32650/38400] lr: 2.716e-04, eta: 0:13:00, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0800, decode.loss_grad: 0.0000, loss: 0.0800, grad_norm: 0.0200 2024-01-03 22:32:28,245 - mmseg - INFO - Iter [32700/38400] lr: 2.670e-04, eta: 0:12:54, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0801, decode.loss_grad: 0.0000, loss: 0.0801, grad_norm: 0.0209 2024-01-03 22:32:34,713 - mmseg - INFO - Iter [32750/38400] lr: 2.625e-04, eta: 0:12:47, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0821, decode.loss_grad: 0.0000, loss: 0.0821, grad_norm: 0.0215 2024-01-03 22:32:41,176 - mmseg - INFO - Iter [32800/38400] lr: 2.579e-04, eta: 0:12:40, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0799, decode.loss_grad: 0.0000, loss: 0.0799, grad_norm: 0.0205 2024-01-03 22:32:47,636 - mmseg - INFO - Iter [32850/38400] lr: 2.534e-04, eta: 0:12:33, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0799, decode.loss_grad: 0.0000, loss: 0.0799, grad_norm: 0.0207 2024-01-03 22:32:54,133 - mmseg - INFO - Iter [32900/38400] lr: 2.489e-04, eta: 0:12:26, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0788, decode.loss_grad: 0.0000, loss: 0.0788, grad_norm: 0.0205 2024-01-03 22:33:00,581 - mmseg - INFO - Iter [32950/38400] lr: 2.445e-04, eta: 0:12:19, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0818, decode.loss_grad: 0.0000, loss: 0.0818, grad_norm: 0.0210 2024-01-03 22:33:06,975 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:33:06,975 - mmseg - INFO - Iter [33000/38400] lr: 2.401e-04, eta: 0:12:12, time: 0.128, data_time: 0.003, memory: 940, decode.loss_depth: 0.0816, decode.loss_grad: 0.0000, loss: 0.0816, grad_norm: 0.0207 2024-01-03 22:33:13,492 - mmseg - INFO - Iter [33050/38400] lr: 2.358e-04, eta: 0:12:06, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0819, decode.loss_grad: 0.0000, loss: 0.0819, grad_norm: 0.0204 2024-01-03 22:33:19,992 - mmseg - INFO - Iter [33100/38400] lr: 2.314e-04, eta: 0:11:59, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0784, decode.loss_grad: 0.0000, loss: 0.0784, grad_norm: 0.0204 2024-01-03 22:33:26,477 - mmseg - INFO - Iter [33150/38400] lr: 2.272e-04, eta: 0:11:52, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0811, decode.loss_grad: 0.0000, loss: 0.0811, grad_norm: 0.0205 2024-01-03 22:33:32,975 - mmseg - INFO - Iter [33200/38400] lr: 2.229e-04, eta: 0:11:45, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0794, decode.loss_grad: 0.0000, loss: 0.0794, grad_norm: 0.0198 2024-01-03 22:33:39,427 - mmseg - INFO - Iter [33250/38400] lr: 2.187e-04, eta: 0:11:38, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0800, decode.loss_grad: 0.0000, loss: 0.0800, grad_norm: 0.0200 2024-01-03 22:33:45,977 - mmseg - INFO - Iter [33300/38400] lr: 2.146e-04, eta: 0:11:31, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0796, decode.loss_grad: 0.0000, loss: 0.0796, grad_norm: 0.0202 2024-01-03 22:33:54,605 - mmseg - INFO - Iter [33350/38400] lr: 2.104e-04, eta: 0:11:25, time: 0.173, data_time: 0.046, memory: 940, decode.loss_depth: 0.0794, decode.loss_grad: 0.0000, loss: 0.0794, grad_norm: 0.0211 2024-01-03 22:34:01,085 - mmseg - INFO - Iter [33400/38400] lr: 2.063e-04, eta: 0:11:18, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0798, decode.loss_grad: 0.0000, loss: 0.0798, grad_norm: 0.0213 2024-01-03 22:34:07,545 - mmseg - INFO - Iter [33450/38400] lr: 2.023e-04, eta: 0:11:11, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0823, decode.loss_grad: 0.0000, loss: 0.0823, grad_norm: 0.0203 2024-01-03 22:34:14,081 - mmseg - INFO - Iter [33500/38400] lr: 1.983e-04, eta: 0:11:04, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0800, decode.loss_grad: 0.0000, loss: 0.0800, grad_norm: 0.0199 2024-01-03 22:34:20,567 - mmseg - INFO - Iter [33550/38400] lr: 1.943e-04, eta: 0:10:58, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0821, decode.loss_grad: 0.0000, loss: 0.0821, grad_norm: 0.0209 2024-01-03 22:34:27,060 - mmseg - INFO - Saving checkpoint at 33600 iterations 2024-01-03 22:34:27,082 - mmseg - INFO - Iter [33600/38400] lr: 1.904e-04, eta: 0:10:51, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0801, decode.loss_grad: 0.0000, loss: 0.0801, grad_norm: 0.0195 2024-01-03 22:34:33,603 - mmseg - INFO - Iter [33650/38400] lr: 1.865e-04, eta: 0:10:44, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0794, decode.loss_grad: 0.0000, loss: 0.0794, grad_norm: 0.0200 2024-01-03 22:34:40,073 - mmseg - INFO - Iter [33700/38400] lr: 1.826e-04, eta: 0:10:37, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0796, decode.loss_grad: 0.0000, loss: 0.0796, grad_norm: 0.0202 2024-01-03 22:34:46,613 - mmseg - INFO - Iter [33750/38400] lr: 1.788e-04, eta: 0:10:30, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0798, decode.loss_grad: 0.0000, loss: 0.0798, grad_norm: 0.0206 2024-01-03 22:34:53,138 - mmseg - INFO - Iter [33800/38400] lr: 1.750e-04, eta: 0:10:24, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0790, decode.loss_grad: 0.0000, loss: 0.0790, grad_norm: 0.0200 2024-01-03 22:34:59,630 - mmseg - INFO - Iter [33850/38400] lr: 1.713e-04, eta: 0:10:17, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0795, decode.loss_grad: 0.0000, loss: 0.0795, grad_norm: 0.0201 2024-01-03 22:35:06,142 - mmseg - INFO - Iter [33900/38400] lr: 1.676e-04, eta: 0:10:10, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0799, decode.loss_grad: 0.0000, loss: 0.0799, grad_norm: 0.0195 2024-01-03 22:35:12,610 - mmseg - INFO - Iter [33950/38400] lr: 1.639e-04, eta: 0:10:03, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0781, decode.loss_grad: 0.0000, loss: 0.0781, grad_norm: 0.0202 2024-01-03 22:35:19,197 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:35:19,197 - mmseg - INFO - Iter [34000/38400] lr: 1.603e-04, eta: 0:09:56, time: 0.132, data_time: 0.003, memory: 940, decode.loss_depth: 0.0783, decode.loss_grad: 0.0000, loss: 0.0783, grad_norm: 0.0202 2024-01-03 22:35:25,785 - mmseg - INFO - Iter [34050/38400] lr: 1.567e-04, eta: 0:09:49, time: 0.132, data_time: 0.003, memory: 940, decode.loss_depth: 0.0820, decode.loss_grad: 0.0000, loss: 0.0820, grad_norm: 0.0204 2024-01-03 22:35:32,288 - mmseg - INFO - Iter [34100/38400] lr: 1.532e-04, eta: 0:09:43, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0799, decode.loss_grad: 0.0000, loss: 0.0799, grad_norm: 0.0207 2024-01-03 22:35:38,858 - mmseg - INFO - Iter [34150/38400] lr: 1.497e-04, eta: 0:09:36, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0790, decode.loss_grad: 0.0000, loss: 0.0790, grad_norm: 0.0204 2024-01-03 22:35:45,341 - mmseg - INFO - Iter [34200/38400] lr: 1.462e-04, eta: 0:09:29, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0803, decode.loss_grad: 0.0000, loss: 0.0803, grad_norm: 0.0205 2024-01-03 22:35:51,810 - mmseg - INFO - Iter [34250/38400] lr: 1.428e-04, eta: 0:09:22, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0815, decode.loss_grad: 0.0000, loss: 0.0815, grad_norm: 0.0201 2024-01-03 22:35:58,337 - mmseg - INFO - Iter [34300/38400] lr: 1.394e-04, eta: 0:09:15, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0814, decode.loss_grad: 0.0000, loss: 0.0814, grad_norm: 0.0197 2024-01-03 22:36:04,838 - mmseg - INFO - Iter [34350/38400] lr: 1.360e-04, eta: 0:09:09, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0804, decode.loss_grad: 0.0000, loss: 0.0804, grad_norm: 0.0208 2024-01-03 22:36:11,393 - mmseg - INFO - Iter [34400/38400] lr: 1.327e-04, eta: 0:09:02, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0805, decode.loss_grad: 0.0000, loss: 0.0805, grad_norm: 0.0202 2024-01-03 22:36:17,834 - mmseg - INFO - Iter [34450/38400] lr: 1.295e-04, eta: 0:08:55, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0773, decode.loss_grad: 0.0000, loss: 0.0773, grad_norm: 0.0194 2024-01-03 22:36:24,362 - mmseg - INFO - Iter [34500/38400] lr: 1.262e-04, eta: 0:08:48, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0800, decode.loss_grad: 0.0000, loss: 0.0800, grad_norm: 0.0207 2024-01-03 22:36:30,857 - mmseg - INFO - Iter [34550/38400] lr: 1.231e-04, eta: 0:08:41, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0791, decode.loss_grad: 0.0000, loss: 0.0791, grad_norm: 0.0204 2024-01-03 22:36:37,433 - mmseg - INFO - Iter [34600/38400] lr: 1.199e-04, eta: 0:08:35, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0798, decode.loss_grad: 0.0000, loss: 0.0798, grad_norm: 0.0209 2024-01-03 22:36:43,923 - mmseg - INFO - Iter [34650/38400] lr: 1.168e-04, eta: 0:08:28, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0795, decode.loss_grad: 0.0000, loss: 0.0795, grad_norm: 0.0188 2024-01-03 22:36:50,445 - mmseg - INFO - Iter [34700/38400] lr: 1.137e-04, eta: 0:08:21, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0789, decode.loss_grad: 0.0000, loss: 0.0789, grad_norm: 0.0201 2024-01-03 22:36:56,992 - mmseg - INFO - Iter [34750/38400] lr: 1.107e-04, eta: 0:08:14, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0794, decode.loss_grad: 0.0000, loss: 0.0794, grad_norm: 0.0195 2024-01-03 22:37:03,441 - mmseg - INFO - Iter [34800/38400] lr: 1.077e-04, eta: 0:08:07, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0811, decode.loss_grad: 0.0000, loss: 0.0811, grad_norm: 0.0203 2024-01-03 22:37:12,094 - mmseg - INFO - Iter [34850/38400] lr: 1.048e-04, eta: 0:08:01, time: 0.173, data_time: 0.046, memory: 940, decode.loss_depth: 0.0779, decode.loss_grad: 0.0000, loss: 0.0779, grad_norm: 0.0199 2024-01-03 22:37:18,606 - mmseg - INFO - Iter [34900/38400] lr: 1.018e-04, eta: 0:07:54, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0786, decode.loss_grad: 0.0000, loss: 0.0786, grad_norm: 0.0196 2024-01-03 22:37:25,074 - mmseg - INFO - Iter [34950/38400] lr: 9.898e-05, eta: 0:07:47, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0810, decode.loss_grad: 0.0000, loss: 0.0810, grad_norm: 0.0196 2024-01-03 22:37:31,512 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:37:31,513 - mmseg - INFO - Iter [35000/38400] lr: 9.615e-05, eta: 0:07:40, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0801, decode.loss_grad: 0.0000, loss: 0.0801, grad_norm: 0.0199 2024-01-03 22:37:38,052 - mmseg - INFO - Iter [35050/38400] lr: 9.336e-05, eta: 0:07:34, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0796, decode.loss_grad: 0.0000, loss: 0.0796, grad_norm: 0.0196 2024-01-03 22:37:44,500 - mmseg - INFO - Iter [35100/38400] lr: 9.061e-05, eta: 0:07:27, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0798, decode.loss_grad: 0.0000, loss: 0.0798, grad_norm: 0.0210 2024-01-03 22:37:51,017 - mmseg - INFO - Iter [35150/38400] lr: 8.791e-05, eta: 0:07:20, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0796, decode.loss_grad: 0.0000, loss: 0.0796, grad_norm: 0.0196 2024-01-03 22:37:57,517 - mmseg - INFO - Saving checkpoint at 35200 iterations 2024-01-03 22:37:57,545 - mmseg - INFO - Iter [35200/38400] lr: 8.524e-05, eta: 0:07:13, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0811, decode.loss_grad: 0.0000, loss: 0.0811, grad_norm: 0.0188 2024-01-03 22:38:10,236 - mmseg - INFO - Summary: 2024-01-03 22:38:10,237 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.8816 | 0.9877 | 0.9983 | 0.1155 | 0.3883 | 0.0484 | 0.1409 | 11.1998 | 0.0601 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 22:38:10,237 - mmseg - INFO - Iter(val) [82] a1: 0.8816, a2: 0.9877, a3: 0.9983, abs_rel: 0.11547177284955978, rmse: 0.38829535245895386, log_10: 0.048423733562231064, rmse_log: 0.14091013371944427, silog: 11.1998, sq_rel: 0.06006879359483719 2024-01-03 22:38:16,729 - mmseg - INFO - Iter [35250/38400] lr: 8.261e-05, eta: 0:07:07, time: 0.384, data_time: 0.257, memory: 940, decode.loss_depth: 0.0795, decode.loss_grad: 0.0000, loss: 0.0795, grad_norm: 0.0191 2024-01-03 22:38:23,275 - mmseg - INFO - Iter [35300/38400] lr: 8.002e-05, eta: 0:07:01, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0770, decode.loss_grad: 0.0000, loss: 0.0770, grad_norm: 0.0203 2024-01-03 22:38:29,799 - mmseg - INFO - Iter [35350/38400] lr: 7.748e-05, eta: 0:06:54, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0795, decode.loss_grad: 0.0000, loss: 0.0795, grad_norm: 0.0199 2024-01-03 22:38:36,295 - mmseg - INFO - Iter [35400/38400] lr: 7.497e-05, eta: 0:06:47, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0798, decode.loss_grad: 0.0000, loss: 0.0798, grad_norm: 0.0197 2024-01-03 22:38:42,780 - mmseg - INFO - Iter [35450/38400] lr: 7.251e-05, eta: 0:06:40, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0813, decode.loss_grad: 0.0000, loss: 0.0813, grad_norm: 0.0198 2024-01-03 22:38:49,284 - mmseg - INFO - Iter [35500/38400] lr: 7.008e-05, eta: 0:06:33, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0794, decode.loss_grad: 0.0000, loss: 0.0794, grad_norm: 0.0198 2024-01-03 22:38:55,755 - mmseg - INFO - Iter [35550/38400] lr: 6.770e-05, eta: 0:06:27, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0807, decode.loss_grad: 0.0000, loss: 0.0807, grad_norm: 0.0201 2024-01-03 22:39:02,242 - mmseg - INFO - Iter [35600/38400] lr: 6.535e-05, eta: 0:06:20, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0809, decode.loss_grad: 0.0000, loss: 0.0809, grad_norm: 0.0202 2024-01-03 22:39:08,794 - mmseg - INFO - Iter [35650/38400] lr: 6.305e-05, eta: 0:06:13, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0772, decode.loss_grad: 0.0000, loss: 0.0772, grad_norm: 0.0189 2024-01-03 22:39:15,283 - mmseg - INFO - Iter [35700/38400] lr: 6.079e-05, eta: 0:06:06, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0791, decode.loss_grad: 0.0000, loss: 0.0791, grad_norm: 0.0208 2024-01-03 22:39:21,791 - mmseg - INFO - Iter [35750/38400] lr: 5.857e-05, eta: 0:05:59, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0797, decode.loss_grad: 0.0000, loss: 0.0797, grad_norm: 0.0199 2024-01-03 22:39:28,373 - mmseg - INFO - Iter [35800/38400] lr: 5.639e-05, eta: 0:05:53, time: 0.132, data_time: 0.003, memory: 940, decode.loss_depth: 0.0800, decode.loss_grad: 0.0000, loss: 0.0800, grad_norm: 0.0204 2024-01-03 22:39:34,820 - mmseg - INFO - Iter [35850/38400] lr: 5.425e-05, eta: 0:05:46, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0789, decode.loss_grad: 0.0000, loss: 0.0789, grad_norm: 0.0192 2024-01-03 22:39:41,339 - mmseg - INFO - Iter [35900/38400] lr: 5.215e-05, eta: 0:05:39, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0803, decode.loss_grad: 0.0000, loss: 0.0803, grad_norm: 0.0194 2024-01-03 22:39:47,811 - mmseg - INFO - Iter [35950/38400] lr: 5.009e-05, eta: 0:05:32, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0783, decode.loss_grad: 0.0000, loss: 0.0783, grad_norm: 0.0195 2024-01-03 22:39:54,280 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:39:54,281 - mmseg - INFO - Iter [36000/38400] lr: 4.808e-05, eta: 0:05:25, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0791, decode.loss_grad: 0.0000, loss: 0.0791, grad_norm: 0.0203 2024-01-03 22:40:00,773 - mmseg - INFO - Iter [36050/38400] lr: 4.610e-05, eta: 0:05:18, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0797, decode.loss_grad: 0.0000, loss: 0.0797, grad_norm: 0.0193 2024-01-03 22:40:07,258 - mmseg - INFO - Iter [36100/38400] lr: 4.417e-05, eta: 0:05:12, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0809, decode.loss_grad: 0.0000, loss: 0.0809, grad_norm: 0.0202 2024-01-03 22:40:13,752 - mmseg - INFO - Iter [36150/38400] lr: 4.227e-05, eta: 0:05:05, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0797, decode.loss_grad: 0.0000, loss: 0.0797, grad_norm: 0.0199 2024-01-03 22:40:20,242 - mmseg - INFO - Iter [36200/38400] lr: 4.042e-05, eta: 0:04:58, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0791, decode.loss_grad: 0.0000, loss: 0.0791, grad_norm: 0.0198 2024-01-03 22:40:26,720 - mmseg - INFO - Iter [36250/38400] lr: 3.861e-05, eta: 0:04:51, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0800, decode.loss_grad: 0.0000, loss: 0.0800, grad_norm: 0.0200 2024-01-03 22:40:33,246 - mmseg - INFO - Iter [36300/38400] lr: 3.684e-05, eta: 0:04:44, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0792, decode.loss_grad: 0.0000, loss: 0.0792, grad_norm: 0.0197 2024-01-03 22:40:41,877 - mmseg - INFO - Iter [36350/38400] lr: 3.511e-05, eta: 0:04:38, time: 0.173, data_time: 0.047, memory: 940, decode.loss_depth: 0.0803, decode.loss_grad: 0.0000, loss: 0.0803, grad_norm: 0.0203 2024-01-03 22:40:48,481 - mmseg - INFO - Iter [36400/38400] lr: 3.343e-05, eta: 0:04:31, time: 0.132, data_time: 0.003, memory: 940, decode.loss_depth: 0.0784, decode.loss_grad: 0.0000, loss: 0.0784, grad_norm: 0.0188 2024-01-03 22:40:55,027 - mmseg - INFO - Iter [36450/38400] lr: 3.178e-05, eta: 0:04:24, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0778, decode.loss_grad: 0.0000, loss: 0.0778, grad_norm: 0.0197 2024-01-03 22:41:01,506 - mmseg - INFO - Iter [36500/38400] lr: 3.017e-05, eta: 0:04:17, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0772, decode.loss_grad: 0.0000, loss: 0.0772, grad_norm: 0.0195 2024-01-03 22:41:08,052 - mmseg - INFO - Iter [36550/38400] lr: 2.861e-05, eta: 0:04:11, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0800, decode.loss_grad: 0.0000, loss: 0.0800, grad_norm: 0.0199 2024-01-03 22:41:14,557 - mmseg - INFO - Iter [36600/38400] lr: 2.709e-05, eta: 0:04:04, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0810, decode.loss_grad: 0.0000, loss: 0.0810, grad_norm: 0.0206 2024-01-03 22:41:21,087 - mmseg - INFO - Iter [36650/38400] lr: 2.561e-05, eta: 0:03:57, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0794, decode.loss_grad: 0.0000, loss: 0.0794, grad_norm: 0.0200 2024-01-03 22:41:27,547 - mmseg - INFO - Iter [36700/38400] lr: 2.417e-05, eta: 0:03:50, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0791, decode.loss_grad: 0.0000, loss: 0.0791, grad_norm: 0.0195 2024-01-03 22:41:34,039 - mmseg - INFO - Iter [36750/38400] lr: 2.277e-05, eta: 0:03:43, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0792, decode.loss_grad: 0.0000, loss: 0.0792, grad_norm: 0.0193 2024-01-03 22:41:40,497 - mmseg - INFO - Saving checkpoint at 36800 iterations 2024-01-03 22:41:40,518 - mmseg - INFO - Iter [36800/38400] lr: 2.141e-05, eta: 0:03:37, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0793, decode.loss_grad: 0.0000, loss: 0.0793, grad_norm: 0.0202 2024-01-03 22:41:46,981 - mmseg - INFO - Iter [36850/38400] lr: 2.010e-05, eta: 0:03:30, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0786, decode.loss_grad: 0.0000, loss: 0.0786, grad_norm: 0.0202 2024-01-03 22:41:53,537 - mmseg - INFO - Iter [36900/38400] lr: 1.883e-05, eta: 0:03:23, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0813, decode.loss_grad: 0.0000, loss: 0.0813, grad_norm: 0.0199 2024-01-03 22:42:00,045 - mmseg - INFO - Iter [36950/38400] lr: 1.759e-05, eta: 0:03:16, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0798, decode.loss_grad: 0.0000, loss: 0.0798, grad_norm: 0.0203 2024-01-03 22:42:06,557 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:42:06,557 - mmseg - INFO - Iter [37000/38400] lr: 1.640e-05, eta: 0:03:09, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0781, decode.loss_grad: 0.0000, loss: 0.0781, grad_norm: 0.0193 2024-01-03 22:42:13,031 - mmseg - INFO - Iter [37050/38400] lr: 1.526e-05, eta: 0:03:03, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0787, decode.loss_grad: 0.0000, loss: 0.0787, grad_norm: 0.0200 2024-01-03 22:42:19,526 - mmseg - INFO - Iter [37100/38400] lr: 1.415e-05, eta: 0:02:56, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0811, decode.loss_grad: 0.0000, loss: 0.0811, grad_norm: 0.0202 2024-01-03 22:42:25,990 - mmseg - INFO - Iter [37150/38400] lr: 1.308e-05, eta: 0:02:49, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0783, decode.loss_grad: 0.0000, loss: 0.0783, grad_norm: 0.0197 2024-01-03 22:42:32,513 - mmseg - INFO - Iter [37200/38400] lr: 1.206e-05, eta: 0:02:42, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0794, decode.loss_grad: 0.0000, loss: 0.0794, grad_norm: 0.0194 2024-01-03 22:42:39,042 - mmseg - INFO - Iter [37250/38400] lr: 1.108e-05, eta: 0:02:35, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0802, decode.loss_grad: 0.0000, loss: 0.0802, grad_norm: 0.0206 2024-01-03 22:42:45,564 - mmseg - INFO - Iter [37300/38400] lr: 1.014e-05, eta: 0:02:29, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0797, decode.loss_grad: 0.0000, loss: 0.0797, grad_norm: 0.0203 2024-01-03 22:42:52,052 - mmseg - INFO - Iter [37350/38400] lr: 9.236e-06, eta: 0:02:22, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0817, decode.loss_grad: 0.0000, loss: 0.0817, grad_norm: 0.0203 2024-01-03 22:42:58,542 - mmseg - INFO - Iter [37400/38400] lr: 8.379e-06, eta: 0:02:15, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0788, decode.loss_grad: 0.0000, loss: 0.0788, grad_norm: 0.0198 2024-01-03 22:43:05,106 - mmseg - INFO - Iter [37450/38400] lr: 7.563e-06, eta: 0:02:08, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0787, decode.loss_grad: 0.0000, loss: 0.0787, grad_norm: 0.0189 2024-01-03 22:43:11,570 - mmseg - INFO - Iter [37500/38400] lr: 6.789e-06, eta: 0:02:02, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0790, decode.loss_grad: 0.0000, loss: 0.0790, grad_norm: 0.0195 2024-01-03 22:43:18,053 - mmseg - INFO - Iter [37550/38400] lr: 6.057e-06, eta: 0:01:55, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0812, decode.loss_grad: 0.0000, loss: 0.0812, grad_norm: 0.0198 2024-01-03 22:43:24,526 - mmseg - INFO - Iter [37600/38400] lr: 5.366e-06, eta: 0:01:48, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0801, decode.loss_grad: 0.0000, loss: 0.0801, grad_norm: 0.0199 2024-01-03 22:43:31,037 - mmseg - INFO - Iter [37650/38400] lr: 4.717e-06, eta: 0:01:41, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0805, decode.loss_grad: 0.0000, loss: 0.0805, grad_norm: 0.0204 2024-01-03 22:43:37,566 - mmseg - INFO - Iter [37700/38400] lr: 4.110e-06, eta: 0:01:34, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0774, decode.loss_grad: 0.0000, loss: 0.0774, grad_norm: 0.0190 2024-01-03 22:43:44,123 - mmseg - INFO - Iter [37750/38400] lr: 3.545e-06, eta: 0:01:28, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0813, decode.loss_grad: 0.0000, loss: 0.0813, grad_norm: 0.0197 2024-01-03 22:43:50,613 - mmseg - INFO - Iter [37800/38400] lr: 3.021e-06, eta: 0:01:21, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0806, decode.loss_grad: 0.0000, loss: 0.0806, grad_norm: 0.0194 2024-01-03 22:43:57,068 - mmseg - INFO - Iter [37850/38400] lr: 2.540e-06, eta: 0:01:14, time: 0.129, data_time: 0.003, memory: 940, decode.loss_depth: 0.0790, decode.loss_grad: 0.0000, loss: 0.0790, grad_norm: 0.0201 2024-01-03 22:44:05,798 - mmseg - INFO - Iter [37900/38400] lr: 2.100e-06, eta: 0:01:07, time: 0.175, data_time: 0.046, memory: 940, decode.loss_depth: 0.0789, decode.loss_grad: 0.0000, loss: 0.0789, grad_norm: 0.0196 2024-01-03 22:44:12,311 - mmseg - INFO - Iter [37950/38400] lr: 1.702e-06, eta: 0:01:01, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0793, decode.loss_grad: 0.0000, loss: 0.0793, grad_norm: 0.0194 2024-01-03 22:44:18,822 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:44:18,823 - mmseg - INFO - Iter [38000/38400] lr: 1.345e-06, eta: 0:00:54, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0808, decode.loss_grad: 0.0000, loss: 0.0808, grad_norm: 0.0195 2024-01-03 22:44:25,353 - mmseg - INFO - Iter [38050/38400] lr: 1.031e-06, eta: 0:00:47, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0787, decode.loss_grad: 0.0000, loss: 0.0787, grad_norm: 0.0197 2024-01-03 22:44:31,884 - mmseg - INFO - Iter [38100/38400] lr: 7.580e-07, eta: 0:00:40, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0786, decode.loss_grad: 0.0000, loss: 0.0786, grad_norm: 0.0199 2024-01-03 22:44:38,377 - mmseg - INFO - Iter [38150/38400] lr: 5.271e-07, eta: 0:00:33, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0773, decode.loss_grad: 0.0000, loss: 0.0773, grad_norm: 0.0195 2024-01-03 22:44:44,913 - mmseg - INFO - Iter [38200/38400] lr: 3.381e-07, eta: 0:00:27, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0790, decode.loss_grad: 0.0000, loss: 0.0790, grad_norm: 0.0195 2024-01-03 22:44:51,406 - mmseg - INFO - Iter [38250/38400] lr: 1.908e-07, eta: 0:00:20, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0779, decode.loss_grad: 0.0000, loss: 0.0779, grad_norm: 0.0200 2024-01-03 22:44:57,945 - mmseg - INFO - Iter [38300/38400] lr: 8.540e-08, eta: 0:00:13, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0786, decode.loss_grad: 0.0000, loss: 0.0786, grad_norm: 0.0202 2024-01-03 22:45:04,453 - mmseg - INFO - Iter [38350/38400] lr: 2.181e-08, eta: 0:00:06, time: 0.130, data_time: 0.003, memory: 940, decode.loss_depth: 0.0792, decode.loss_grad: 0.0000, loss: 0.0792, grad_norm: 0.0206 2024-01-03 22:45:10,974 - mmseg - INFO - Saving checkpoint at 38400 iterations 2024-01-03 22:45:11,008 - mmseg - INFO - Iter [38400/38400] lr: 5.837e-11, eta: 0:00:00, time: 0.131, data_time: 0.003, memory: 940, decode.loss_depth: 0.0815, decode.loss_grad: 0.0000, loss: 0.0815, grad_norm: 0.0196 2024-01-03 22:45:23,679 - mmseg - INFO - Summary: 2024-01-03 22:45:23,680 - mmseg - INFO - +--------+--------+--------+---------+-------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+-------+--------+----------+---------+--------+ | 0.8813 | 0.9877 | 0.9983 | 0.1157 | 0.388 | 0.0484 | 0.141 | 11.1992 | 0.0601 | +--------+--------+--------+---------+-------+--------+----------+---------+--------+ 2024-01-03 22:45:23,681 - mmseg - INFO - Iter(val) [82] a1: 0.8813, a2: 0.9877, a3: 0.9983, abs_rel: 0.11566910147666931, rmse: 0.3879528045654297, log_10: 0.04844843968749046, rmse_log: 0.1409679800271988, silog: 11.1992, sq_rel: 0.06011461839079857