2024-01-03 17:43:13,012 - mmseg - INFO - Environment info: ------------------------------------------------------------ sys.platform: linux Python: 3.9.18 (main, Sep 11 2023, 13:41:44) [GCC 11.2.0] CUDA available: True GPU 0,1,2,3,4,5,6,7: NVIDIA A6000 CUDA_HOME: /usr/local/cuda NVCC: Cuda compilation tools, release 11.3, V11.3.58 GCC: gcc (Ubuntu 9.3.0-17ubuntu1~20.04) 9.3.0 PyTorch: 2.0.0+cu117 PyTorch compiling details: PyTorch built with: - GCC 9.3 - C++ Version: 201703 - Intel(R) oneAPI Math Kernel Library Version 2022.2-Product Build 20220804 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.7.3 (Git Hash 6dbeffbae1f23cbbeae17adb7b5b13f1f37c080e) - OpenMP 201511 (a.k.a. OpenMP 4.5) - LAPACK is enabled (usually provided by MKL) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.7 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 - CuDNN 8.5 - Magma 2.6.1 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.7, CUDNN_VERSION=8.5.0, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_DISABLE_GPU_ASSERTS=ON, TORCH_VERSION=2.0.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=1, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, TorchVision: 0.15.0+cu117 OpenCV: 4.8.1 MMCV: 1.5.0 MMCV Compiler: GCC 9.3 MMCV CUDA Compiler: 11.3 MMSegmentation: 0.27.0+a3118f0 ------------------------------------------------------------ 2024-01-03 17:43:13,013 - mmseg - INFO - Distributed training: True 2024-01-03 17:43:13,013 - 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/original/vit_base_patch16_224.mae', 'gpu_ids': range(0, 1)} 2024-01-03 17:43:18,675 - mmseg - INFO - Loading backbone from vit_base_patch16_224.mae 2024-01-03 17:43:18,696 - 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 17:43:18,779 - mmseg - INFO - Loaded 24231 images. Totally 0 invalid pairs are filtered 2024-01-03 17:43:19,396 - mmseg - INFO - Loaded 654 images. Totally 0 invalid pairs are filtered 2024-01-03 17:43:19,396 - mmseg - INFO - Start running, host: root, work_dir: ./work_dirs/depth_eval/nyu_paper/original/vit_base_patch16_224.mae 2024-01-03 17:43:19,396 - 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 17:43:19,396 - mmseg - INFO - workflow: [('train', 1)], max: 38400 iters 2024-01-03 17:43:19,397 - mmseg - INFO - Checkpoints will be saved to ./work_dirs/depth_eval/nyu_paper/original/vit_base_patch16_224.mae by HardDiskBackend. 2024-01-03 17:43:38,225 - mmseg - INFO - Iter [50/38400] lr: 2.412e-05, eta: 1:18:54, time: 0.123, data_time: 0.005, memory: 749, decode.loss_depth: 0.2234, decode.loss_grad: 0.0000, loss: 0.2234, grad_norm: 0.6282 2024-01-03 17:43:40,819 - mmseg - INFO - Iter [100/38400] lr: 4.363e-05, eta: 0:55:57, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1241, decode.loss_grad: 0.0000, loss: 0.1241, grad_norm: 0.4540 2024-01-03 17:43:43,412 - mmseg - INFO - Iter [150/38400] lr: 6.314e-05, eta: 0:48:16, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.4286, decode.loss_grad: 0.0000, loss: 0.4286, grad_norm: 0.1478 2024-01-03 17:43:45,989 - mmseg - INFO - Iter [200/38400] lr: 8.265e-05, eta: 0:44:22, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.4148, decode.loss_grad: 0.0000, loss: 0.4148, grad_norm: 0.1334 2024-01-03 17:43:48,702 - mmseg - INFO - Iter [250/38400] lr: 1.022e-04, eta: 0:42:20, time: 0.054, data_time: 0.002, memory: 749, decode.loss_depth: 0.3990, decode.loss_grad: 0.0000, loss: 0.3990, grad_norm: 0.1503 2024-01-03 17:43:51,264 - mmseg - INFO - Iter [300/38400] lr: 1.217e-04, eta: 0:40:40, time: 0.051, data_time: 0.003, memory: 749, decode.loss_depth: 0.3699, decode.loss_grad: 0.0000, loss: 0.3699, grad_norm: 0.1651 2024-01-03 17:43:53,868 - mmseg - INFO - Iter [350/38400] lr: 1.412e-04, eta: 0:39:31, time: 0.052, data_time: 0.003, memory: 749, decode.loss_depth: 0.3519, decode.loss_grad: 0.0000, loss: 0.3519, grad_norm: 0.1657 2024-01-03 17:43:56,426 - mmseg - INFO - Iter [400/38400] lr: 1.607e-04, eta: 0:38:35, time: 0.051, data_time: 0.003, memory: 749, decode.loss_depth: 0.3246, decode.loss_grad: 0.0000, loss: 0.3246, grad_norm: 0.1741 2024-01-03 17:43:59,085 - mmseg - INFO - Iter [450/38400] lr: 1.802e-04, eta: 0:37:59, time: 0.053, data_time: 0.002, memory: 749, decode.loss_depth: 0.3158, decode.loss_grad: 0.0000, loss: 0.3158, grad_norm: 0.1626 2024-01-03 17:44:01,632 - mmseg - INFO - Iter [500/38400] lr: 1.996e-04, eta: 0:37:22, time: 0.051, data_time: 0.003, memory: 749, decode.loss_depth: 0.3152, decode.loss_grad: 0.0000, loss: 0.3152, grad_norm: 0.1805 2024-01-03 17:44:04,189 - mmseg - INFO - Iter [550/38400] lr: 2.191e-04, eta: 0:36:51, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.3092, decode.loss_grad: 0.0000, loss: 0.3092, grad_norm: 0.1684 2024-01-03 17:44:06,752 - mmseg - INFO - Iter [600/38400] lr: 2.386e-04, eta: 0:36:26, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2957, decode.loss_grad: 0.0000, loss: 0.2957, grad_norm: 0.1752 2024-01-03 17:44:09,442 - mmseg - INFO - Iter [650/38400] lr: 2.581e-04, eta: 0:36:11, time: 0.054, data_time: 0.004, memory: 749, decode.loss_depth: 0.2947, decode.loss_grad: 0.0000, loss: 0.2947, grad_norm: 0.1681 2024-01-03 17:44:11,996 - mmseg - INFO - Iter [700/38400] lr: 2.775e-04, eta: 0:35:51, time: 0.051, data_time: 0.003, memory: 749, decode.loss_depth: 0.2925, decode.loss_grad: 0.0000, loss: 0.2925, grad_norm: 0.1680 2024-01-03 17:44:14,574 - mmseg - INFO - Iter [750/38400] lr: 2.970e-04, eta: 0:35:34, time: 0.052, data_time: 0.003, memory: 749, decode.loss_depth: 0.2791, decode.loss_grad: 0.0000, loss: 0.2791, grad_norm: 0.1797 2024-01-03 17:44:17,103 - mmseg - INFO - Iter [800/38400] lr: 3.165e-04, eta: 0:35:17, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2858, decode.loss_grad: 0.0000, loss: 0.2858, grad_norm: 0.1743 2024-01-03 17:44:19,681 - mmseg - INFO - Iter [850/38400] lr: 3.359e-04, eta: 0:35:04, time: 0.052, data_time: 0.003, memory: 749, decode.loss_depth: 0.2761, decode.loss_grad: 0.0000, loss: 0.2761, grad_norm: 0.1722 2024-01-03 17:44:22,227 - mmseg - INFO - Iter [900/38400] lr: 3.553e-04, eta: 0:34:50, time: 0.051, data_time: 0.003, memory: 749, decode.loss_depth: 0.2749, decode.loss_grad: 0.0000, loss: 0.2749, grad_norm: 0.1655 2024-01-03 17:44:24,809 - mmseg - INFO - Iter [950/38400] lr: 3.748e-04, eta: 0:34:39, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2789, decode.loss_grad: 0.0000, loss: 0.2789, grad_norm: 0.1740 2024-01-03 17:44:27,355 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:44:27,355 - mmseg - INFO - Iter [1000/38400] lr: 3.942e-04, eta: 0:34:28, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2696, decode.loss_grad: 0.0000, loss: 0.2696, grad_norm: 0.1848 2024-01-03 17:44:29,908 - mmseg - INFO - Iter [1050/38400] lr: 4.136e-04, eta: 0:34:17, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2654, decode.loss_grad: 0.0000, loss: 0.2654, grad_norm: 0.1949 2024-01-03 17:44:32,467 - mmseg - INFO - Iter [1100/38400] lr: 4.330e-04, eta: 0:34:08, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2712, decode.loss_grad: 0.0000, loss: 0.2712, grad_norm: 0.1875 2024-01-03 17:44:35,022 - mmseg - INFO - Iter [1150/38400] lr: 4.524e-04, eta: 0:33:59, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2650, decode.loss_grad: 0.0000, loss: 0.2650, grad_norm: 0.1748 2024-01-03 17:44:37,581 - mmseg - INFO - Iter [1200/38400] lr: 4.718e-04, eta: 0:33:51, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2578, decode.loss_grad: 0.0000, loss: 0.2578, grad_norm: 0.1878 2024-01-03 17:44:40,128 - mmseg - INFO - Iter [1250/38400] lr: 4.911e-04, eta: 0:33:43, time: 0.051, data_time: 0.003, memory: 749, decode.loss_depth: 0.2699, decode.loss_grad: 0.0000, loss: 0.2699, grad_norm: 0.1656 2024-01-03 17:44:42,758 - mmseg - INFO - Iter [1300/38400] lr: 5.105e-04, eta: 0:33:37, time: 0.053, data_time: 0.002, memory: 749, decode.loss_depth: 0.2603, decode.loss_grad: 0.0000, loss: 0.2603, grad_norm: 0.1667 2024-01-03 17:44:45,320 - mmseg - INFO - Iter [1350/38400] lr: 5.298e-04, eta: 0:33:30, time: 0.051, data_time: 0.003, memory: 749, decode.loss_depth: 0.2644, decode.loss_grad: 0.0000, loss: 0.2644, grad_norm: 0.1690 2024-01-03 17:44:47,866 - mmseg - INFO - Iter [1400/38400] lr: 5.491e-04, eta: 0:33:23, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2574, decode.loss_grad: 0.0000, loss: 0.2574, grad_norm: 0.1620 2024-01-03 17:44:50,425 - mmseg - INFO - Iter [1450/38400] lr: 5.684e-04, eta: 0:33:17, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2552, decode.loss_grad: 0.0000, loss: 0.2552, grad_norm: 0.1606 2024-01-03 17:44:52,990 - mmseg - INFO - Iter [1500/38400] lr: 5.877e-04, eta: 0:33:10, time: 0.051, data_time: 0.003, memory: 749, decode.loss_depth: 0.2558, decode.loss_grad: 0.0000, loss: 0.2558, grad_norm: 0.1596 2024-01-03 17:44:57,638 - mmseg - INFO - Iter [1550/38400] lr: 6.070e-04, eta: 0:33:54, time: 0.093, data_time: 0.044, memory: 749, decode.loss_depth: 0.2564, decode.loss_grad: 0.0000, loss: 0.2564, grad_norm: 0.1794 2024-01-03 17:45:00,216 - mmseg - INFO - Saving checkpoint at 1600 iterations 2024-01-03 17:45:00,231 - mmseg - INFO - Iter [1600/38400] lr: 6.263e-04, eta: 0:33:48, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2551, decode.loss_grad: 0.0000, loss: 0.2551, grad_norm: 0.1766 2024-01-03 17:45:02,794 - mmseg - INFO - Iter [1650/38400] lr: 6.456e-04, eta: 0:33:40, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2513, decode.loss_grad: 0.0000, loss: 0.2513, grad_norm: 0.1725 2024-01-03 17:45:05,528 - mmseg - INFO - Iter [1700/38400] lr: 6.648e-04, eta: 0:33:37, time: 0.055, data_time: 0.002, memory: 749, decode.loss_depth: 0.2485, decode.loss_grad: 0.0000, loss: 0.2485, grad_norm: 0.1624 2024-01-03 17:45:08,082 - mmseg - INFO - Iter [1750/38400] lr: 6.840e-04, eta: 0:33:31, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2596, decode.loss_grad: 0.0000, loss: 0.2596, grad_norm: 0.1733 2024-01-03 17:45:10,658 - mmseg - INFO - Iter [1800/38400] lr: 7.032e-04, eta: 0:33:24, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2500, decode.loss_grad: 0.0000, loss: 0.2500, grad_norm: 0.1798 2024-01-03 17:45:13,213 - mmseg - INFO - Iter [1850/38400] lr: 7.224e-04, eta: 0:33:18, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2528, decode.loss_grad: 0.0000, loss: 0.2528, grad_norm: 0.1615 2024-01-03 17:45:15,977 - mmseg - INFO - Iter [1900/38400] lr: 7.416e-04, eta: 0:33:16, time: 0.055, data_time: 0.002, memory: 749, decode.loss_depth: 0.2532, decode.loss_grad: 0.0000, loss: 0.2532, grad_norm: 0.1589 2024-01-03 17:45:18,547 - mmseg - INFO - Iter [1950/38400] lr: 7.607e-04, eta: 0:33:10, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2458, decode.loss_grad: 0.0000, loss: 0.2458, grad_norm: 0.1733 2024-01-03 17:45:21,107 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:45:21,108 - mmseg - INFO - Iter [2000/38400] lr: 7.798e-04, eta: 0:33:04, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2478, decode.loss_grad: 0.0000, loss: 0.2478, grad_norm: 0.1619 2024-01-03 17:45:23,669 - mmseg - INFO - Iter [2050/38400] lr: 7.990e-04, eta: 0:32:59, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2503, decode.loss_grad: 0.0000, loss: 0.2503, grad_norm: 0.1821 2024-01-03 17:45:26,240 - mmseg - INFO - Iter [2100/38400] lr: 8.180e-04, eta: 0:32:53, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2555, decode.loss_grad: 0.0000, loss: 0.2555, grad_norm: 0.1797 2024-01-03 17:45:28,799 - mmseg - INFO - Iter [2150/38400] lr: 8.371e-04, eta: 0:32:48, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2465, decode.loss_grad: 0.0000, loss: 0.2465, grad_norm: 0.1693 2024-01-03 17:45:31,368 - mmseg - INFO - Iter [2200/38400] lr: 8.562e-04, eta: 0:32:43, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2436, decode.loss_grad: 0.0000, loss: 0.2436, grad_norm: 0.1698 2024-01-03 17:45:33,907 - mmseg - INFO - Iter [2250/38400] lr: 8.752e-04, eta: 0:32:37, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2437, decode.loss_grad: 0.0000, loss: 0.2437, grad_norm: 0.1713 2024-01-03 17:45:36,493 - mmseg - INFO - Iter [2300/38400] lr: 8.942e-04, eta: 0:32:33, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2441, decode.loss_grad: 0.0000, loss: 0.2441, grad_norm: 0.1540 2024-01-03 17:45:39,089 - mmseg - INFO - Iter [2350/38400] lr: 9.132e-04, eta: 0:32:28, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2412, decode.loss_grad: 0.0000, loss: 0.2412, grad_norm: 0.1684 2024-01-03 17:45:41,636 - mmseg - INFO - Iter [2400/38400] lr: 9.321e-04, eta: 0:32:23, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2444, decode.loss_grad: 0.0000, loss: 0.2444, grad_norm: 0.1632 2024-01-03 17:45:44,209 - mmseg - INFO - Iter [2450/38400] lr: 9.511e-04, eta: 0:32:19, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2441, decode.loss_grad: 0.0000, loss: 0.2441, grad_norm: 0.1586 2024-01-03 17:45:46,958 - mmseg - INFO - Iter [2500/38400] lr: 9.700e-04, eta: 0:32:17, time: 0.055, data_time: 0.002, memory: 749, decode.loss_depth: 0.2490, decode.loss_grad: 0.0000, loss: 0.2490, grad_norm: 0.1607 2024-01-03 17:45:49,539 - mmseg - INFO - Iter [2550/38400] lr: 9.889e-04, eta: 0:32:12, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2401, decode.loss_grad: 0.0000, loss: 0.2401, grad_norm: 0.1548 2024-01-03 17:45:52,113 - mmseg - INFO - Iter [2600/38400] lr: 1.008e-03, eta: 0:32:08, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2362, decode.loss_grad: 0.0000, loss: 0.2362, grad_norm: 0.1627 2024-01-03 17:45:54,683 - mmseg - INFO - Iter [2650/38400] lr: 1.027e-03, eta: 0:32:04, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2463, decode.loss_grad: 0.0000, loss: 0.2463, grad_norm: 0.1670 2024-01-03 17:45:57,390 - mmseg - INFO - Iter [2700/38400] lr: 1.045e-03, eta: 0:32:01, time: 0.054, data_time: 0.002, memory: 749, decode.loss_depth: 0.2420, decode.loss_grad: 0.0000, loss: 0.2420, grad_norm: 0.1586 2024-01-03 17:45:59,956 - mmseg - INFO - Iter [2750/38400] lr: 1.064e-03, eta: 0:31:57, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2420, decode.loss_grad: 0.0000, loss: 0.2420, grad_norm: 0.1569 2024-01-03 17:46:02,516 - mmseg - INFO - Iter [2800/38400] lr: 1.083e-03, eta: 0:31:52, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2414, decode.loss_grad: 0.0000, loss: 0.2414, grad_norm: 0.1562 2024-01-03 17:46:05,099 - mmseg - INFO - Iter [2850/38400] lr: 1.102e-03, eta: 0:31:48, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2334, decode.loss_grad: 0.0000, loss: 0.2334, grad_norm: 0.1498 2024-01-03 17:46:07,889 - mmseg - INFO - Iter [2900/38400] lr: 1.120e-03, eta: 0:31:47, time: 0.056, data_time: 0.002, memory: 749, decode.loss_depth: 0.2414, decode.loss_grad: 0.0000, loss: 0.2414, grad_norm: 0.1612 2024-01-03 17:46:10,500 - mmseg - INFO - Iter [2950/38400] lr: 1.139e-03, eta: 0:31:43, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2294, decode.loss_grad: 0.0000, loss: 0.2294, grad_norm: 0.1460 2024-01-03 17:46:13,084 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:46:13,085 - mmseg - INFO - Iter [3000/38400] lr: 1.158e-03, eta: 0:31:40, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2392, decode.loss_grad: 0.0000, loss: 0.2392, grad_norm: 0.1583 2024-01-03 17:46:17,760 - mmseg - INFO - Iter [3050/38400] lr: 1.176e-03, eta: 0:32:00, time: 0.093, data_time: 0.043, memory: 749, decode.loss_depth: 0.2308, decode.loss_grad: 0.0000, loss: 0.2308, grad_norm: 0.1541 2024-01-03 17:46:20,348 - mmseg - INFO - Iter [3100/38400] lr: 1.195e-03, eta: 0:31:56, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2452, decode.loss_grad: 0.0000, loss: 0.2452, grad_norm: 0.1545 2024-01-03 17:46:22,930 - mmseg - INFO - Iter [3150/38400] lr: 1.213e-03, eta: 0:31:52, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2367, decode.loss_grad: 0.0000, loss: 0.2367, grad_norm: 0.1524 2024-01-03 17:46:25,501 - mmseg - INFO - Saving checkpoint at 3200 iterations 2024-01-03 17:46:25,511 - mmseg - INFO - Iter [3200/38400] lr: 1.232e-03, eta: 0:31:47, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2326, decode.loss_grad: 0.0000, loss: 0.2326, grad_norm: 0.1569 2024-01-03 17:46:40,212 - mmseg - INFO - Summary: 2024-01-03 17:46:40,212 - mmseg - INFO - +--------+--------+-------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+-------+---------+--------+--------+----------+---------+--------+ | 0.5422 | 0.8323 | 0.943 | 0.3211 | 0.8464 | 0.112 | 0.3071 | 20.4292 | 0.377 | +--------+--------+-------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:46:40,222 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_3200.pth. 2024-01-03 17:46:40,222 - mmseg - INFO - Best abs_rel is 0.3211 at 3200 iter. 2024-01-03 17:46:40,222 - mmseg - INFO - Iter(val) [82] a1: 0.5422, a2: 0.8323, a3: 0.9430, abs_rel: 0.3210623860359192, rmse: 0.846352219581604, log_10: 0.11196387559175491, rmse_log: 0.30709508061408997, silog: 20.4292, sq_rel: 0.3769645392894745 2024-01-03 17:46:42,820 - mmseg - INFO - Iter [3250/38400] lr: 1.251e-03, eta: 0:34:23, time: 0.346, data_time: 0.297, memory: 749, decode.loss_depth: 0.2372, decode.loss_grad: 0.0000, loss: 0.2372, grad_norm: 0.1458 2024-01-03 17:46:45,414 - mmseg - INFO - Iter [3300/38400] lr: 1.269e-03, eta: 0:34:16, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2393, decode.loss_grad: 0.0000, loss: 0.2393, grad_norm: 0.1592 2024-01-03 17:46:47,994 - mmseg - INFO - Iter [3350/38400] lr: 1.287e-03, eta: 0:34:09, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2387, decode.loss_grad: 0.0000, loss: 0.2387, grad_norm: 0.1607 2024-01-03 17:46:50,737 - mmseg - INFO - Iter [3400/38400] lr: 1.306e-03, eta: 0:34:05, time: 0.055, data_time: 0.002, memory: 749, decode.loss_depth: 0.2398, decode.loss_grad: 0.0000, loss: 0.2398, grad_norm: 0.1514 2024-01-03 17:46:53,364 - mmseg - INFO - Iter [3450/38400] lr: 1.324e-03, eta: 0:33:59, time: 0.053, data_time: 0.002, memory: 749, decode.loss_depth: 0.2384, decode.loss_grad: 0.0000, loss: 0.2384, grad_norm: 0.1374 2024-01-03 17:46:55,959 - mmseg - INFO - Iter [3500/38400] lr: 1.343e-03, eta: 0:33:53, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2348, decode.loss_grad: 0.0000, loss: 0.2348, grad_norm: 0.1424 2024-01-03 17:46:58,535 - mmseg - INFO - Iter [3550/38400] lr: 1.361e-03, eta: 0:33:46, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2340, decode.loss_grad: 0.0000, loss: 0.2340, grad_norm: 0.1376 2024-01-03 17:47:01,093 - mmseg - INFO - Iter [3600/38400] lr: 1.379e-03, eta: 0:33:40, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2326, decode.loss_grad: 0.0000, loss: 0.2326, grad_norm: 0.1395 2024-01-03 17:47:03,653 - mmseg - INFO - Iter [3650/38400] lr: 1.397e-03, eta: 0:33:34, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2300, decode.loss_grad: 0.0000, loss: 0.2300, grad_norm: 0.1564 2024-01-03 17:47:06,197 - mmseg - INFO - Iter [3700/38400] lr: 1.416e-03, eta: 0:33:28, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2349, decode.loss_grad: 0.0000, loss: 0.2349, grad_norm: 0.1478 2024-01-03 17:47:08,724 - mmseg - INFO - Iter [3750/38400] lr: 1.434e-03, eta: 0:33:21, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2299, decode.loss_grad: 0.0000, loss: 0.2299, grad_norm: 0.1444 2024-01-03 17:47:11,294 - mmseg - INFO - Iter [3800/38400] lr: 1.452e-03, eta: 0:33:16, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2316, decode.loss_grad: 0.0000, loss: 0.2316, grad_norm: 0.1461 2024-01-03 17:47:13,982 - mmseg - INFO - Iter [3850/38400] lr: 1.470e-03, eta: 0:33:11, time: 0.054, data_time: 0.002, memory: 749, decode.loss_depth: 0.2330, decode.loss_grad: 0.0000, loss: 0.2330, grad_norm: 0.1546 2024-01-03 17:47:16,567 - mmseg - INFO - Iter [3900/38400] lr: 1.488e-03, eta: 0:33:05, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2330, decode.loss_grad: 0.0000, loss: 0.2330, grad_norm: 0.1525 2024-01-03 17:47:19,118 - mmseg - INFO - Iter [3950/38400] lr: 1.506e-03, eta: 0:33:00, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2324, decode.loss_grad: 0.0000, loss: 0.2324, grad_norm: 0.1464 2024-01-03 17:47:21,687 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:47:21,687 - mmseg - INFO - Iter [4000/38400] lr: 1.524e-03, eta: 0:32:54, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2273, decode.loss_grad: 0.0000, loss: 0.2273, grad_norm: 0.1455 2024-01-03 17:47:24,362 - mmseg - INFO - Iter [4050/38400] lr: 1.542e-03, eta: 0:32:50, time: 0.054, data_time: 0.002, memory: 749, decode.loss_depth: 0.2283, decode.loss_grad: 0.0000, loss: 0.2283, grad_norm: 0.1445 2024-01-03 17:47:26,911 - mmseg - INFO - Iter [4100/38400] lr: 1.560e-03, eta: 0:32:44, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2304, decode.loss_grad: 0.0000, loss: 0.2304, grad_norm: 0.1300 2024-01-03 17:47:29,524 - mmseg - INFO - Iter [4150/38400] lr: 1.578e-03, eta: 0:32:39, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2374, decode.loss_grad: 0.0000, loss: 0.2374, grad_norm: 0.1376 2024-01-03 17:47:32,096 - mmseg - INFO - Iter [4200/38400] lr: 1.596e-03, eta: 0:32:34, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2358, decode.loss_grad: 0.0000, loss: 0.2358, grad_norm: 0.1463 2024-01-03 17:47:34,908 - mmseg - INFO - Iter [4250/38400] lr: 1.613e-03, eta: 0:32:31, time: 0.056, data_time: 0.002, memory: 749, decode.loss_depth: 0.2241, decode.loss_grad: 0.0000, loss: 0.2241, grad_norm: 0.1464 2024-01-03 17:47:37,476 - mmseg - INFO - Iter [4300/38400] lr: 1.631e-03, eta: 0:32:26, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2250, decode.loss_grad: 0.0000, loss: 0.2250, grad_norm: 0.1356 2024-01-03 17:47:40,049 - mmseg - INFO - Iter [4350/38400] lr: 1.649e-03, eta: 0:32:21, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2233, decode.loss_grad: 0.0000, loss: 0.2233, grad_norm: 0.1302 2024-01-03 17:47:42,606 - mmseg - INFO - Iter [4400/38400] lr: 1.666e-03, eta: 0:32:15, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2260, decode.loss_grad: 0.0000, loss: 0.2260, grad_norm: 0.1375 2024-01-03 17:47:45,207 - mmseg - INFO - Iter [4450/38400] lr: 1.684e-03, eta: 0:32:11, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2314, decode.loss_grad: 0.0000, loss: 0.2314, grad_norm: 0.1428 2024-01-03 17:47:47,767 - mmseg - INFO - Iter [4500/38400] lr: 1.702e-03, eta: 0:32:06, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2290, decode.loss_grad: 0.0000, loss: 0.2290, grad_norm: 0.1452 2024-01-03 17:47:52,419 - mmseg - INFO - Iter [4550/38400] lr: 1.719e-03, eta: 0:32:16, time: 0.093, data_time: 0.044, memory: 749, decode.loss_depth: 0.2242, decode.loss_grad: 0.0000, loss: 0.2242, grad_norm: 0.1364 2024-01-03 17:47:55,141 - mmseg - INFO - Iter [4600/38400] lr: 1.737e-03, eta: 0:32:13, time: 0.054, data_time: 0.002, memory: 749, decode.loss_depth: 0.2225, decode.loss_grad: 0.0000, loss: 0.2225, grad_norm: 0.1397 2024-01-03 17:47:57,721 - mmseg - INFO - Iter [4650/38400] lr: 1.754e-03, eta: 0:32:08, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2296, decode.loss_grad: 0.0000, loss: 0.2296, grad_norm: 0.1420 2024-01-03 17:48:00,292 - mmseg - INFO - Iter [4700/38400] lr: 1.772e-03, eta: 0:32:03, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2275, decode.loss_grad: 0.0000, loss: 0.2275, grad_norm: 0.1430 2024-01-03 17:48:02,877 - mmseg - INFO - Iter [4750/38400] lr: 1.789e-03, eta: 0:31:58, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2234, decode.loss_grad: 0.0000, loss: 0.2234, grad_norm: 0.1300 2024-01-03 17:48:05,448 - mmseg - INFO - Saving checkpoint at 4800 iterations 2024-01-03 17:48:05,460 - mmseg - INFO - Iter [4800/38400] lr: 1.806e-03, eta: 0:31:53, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2243, decode.loss_grad: 0.0000, loss: 0.2243, grad_norm: 0.1342 2024-01-03 17:48:08,028 - mmseg - INFO - Iter [4850/38400] lr: 1.824e-03, eta: 0:31:48, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2277, decode.loss_grad: 0.0000, loss: 0.2277, grad_norm: 0.1336 2024-01-03 17:48:10,610 - mmseg - INFO - Iter [4900/38400] lr: 1.841e-03, eta: 0:31:44, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2256, decode.loss_grad: 0.0000, loss: 0.2256, grad_norm: 0.1296 2024-01-03 17:48:13,204 - mmseg - INFO - Iter [4950/38400] lr: 1.858e-03, eta: 0:31:39, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2208, decode.loss_grad: 0.0000, loss: 0.2208, grad_norm: 0.1245 2024-01-03 17:48:15,905 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:48:15,905 - mmseg - INFO - Iter [5000/38400] lr: 1.875e-03, eta: 0:31:36, time: 0.054, data_time: 0.002, memory: 749, decode.loss_depth: 0.2267, decode.loss_grad: 0.0000, loss: 0.2267, grad_norm: 0.1343 2024-01-03 17:48:18,482 - mmseg - INFO - Iter [5050/38400] lr: 1.892e-03, eta: 0:31:31, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2140, decode.loss_grad: 0.0000, loss: 0.2140, grad_norm: 0.1256 2024-01-03 17:48:21,003 - mmseg - INFO - Iter [5100/38400] lr: 1.909e-03, eta: 0:31:26, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.2232, decode.loss_grad: 0.0000, loss: 0.2232, grad_norm: 0.1262 2024-01-03 17:48:23,576 - mmseg - INFO - Iter [5150/38400] lr: 1.926e-03, eta: 0:31:22, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2236, decode.loss_grad: 0.0000, loss: 0.2236, grad_norm: 0.1303 2024-01-03 17:48:26,141 - mmseg - INFO - Iter [5200/38400] lr: 1.943e-03, eta: 0:31:17, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2269, decode.loss_grad: 0.0000, loss: 0.2269, grad_norm: 0.1316 2024-01-03 17:48:28,957 - mmseg - INFO - Iter [5250/38400] lr: 1.960e-03, eta: 0:31:14, time: 0.056, data_time: 0.002, memory: 749, decode.loss_depth: 0.2284, decode.loss_grad: 0.0000, loss: 0.2284, grad_norm: 0.1316 2024-01-03 17:48:31,511 - mmseg - INFO - Iter [5300/38400] lr: 1.977e-03, eta: 0:31:10, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2246, decode.loss_grad: 0.0000, loss: 0.2246, grad_norm: 0.1280 2024-01-03 17:48:34,064 - mmseg - INFO - Iter [5350/38400] lr: 1.994e-03, eta: 0:31:05, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2253, decode.loss_grad: 0.0000, loss: 0.2253, grad_norm: 0.1319 2024-01-03 17:48:36,640 - mmseg - INFO - Iter [5400/38400] lr: 2.011e-03, eta: 0:31:01, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2249, decode.loss_grad: 0.0000, loss: 0.2249, grad_norm: 0.1262 2024-01-03 17:48:39,306 - mmseg - INFO - Iter [5450/38400] lr: 2.027e-03, eta: 0:30:57, time: 0.053, data_time: 0.002, memory: 749, decode.loss_depth: 0.2190, decode.loss_grad: 0.0000, loss: 0.2190, grad_norm: 0.1274 2024-01-03 17:48:41,869 - mmseg - INFO - Iter [5500/38400] lr: 2.044e-03, eta: 0:30:53, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2226, decode.loss_grad: 0.0000, loss: 0.2226, grad_norm: 0.1297 2024-01-03 17:48:44,423 - mmseg - INFO - Iter [5550/38400] lr: 2.060e-03, eta: 0:30:48, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2201, decode.loss_grad: 0.0000, loss: 0.2201, grad_norm: 0.1296 2024-01-03 17:48:47,009 - mmseg - INFO - Iter [5600/38400] lr: 2.077e-03, eta: 0:30:44, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2252, decode.loss_grad: 0.0000, loss: 0.2252, grad_norm: 0.1298 2024-01-03 17:48:49,759 - mmseg - INFO - Iter [5650/38400] lr: 2.094e-03, eta: 0:30:41, time: 0.055, data_time: 0.002, memory: 749, decode.loss_depth: 0.2167, decode.loss_grad: 0.0000, loss: 0.2167, grad_norm: 0.1210 2024-01-03 17:48:52,356 - mmseg - INFO - Iter [5700/38400] lr: 2.110e-03, eta: 0:30:37, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2218, decode.loss_grad: 0.0000, loss: 0.2218, grad_norm: 0.1218 2024-01-03 17:48:54,953 - mmseg - INFO - Iter [5750/38400] lr: 2.126e-03, eta: 0:30:33, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2252, decode.loss_grad: 0.0000, loss: 0.2252, grad_norm: 0.1240 2024-01-03 17:48:57,529 - mmseg - INFO - Iter [5800/38400] lr: 2.143e-03, eta: 0:30:29, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2209, decode.loss_grad: 0.0000, loss: 0.2209, grad_norm: 0.1214 2024-01-03 17:49:00,107 - mmseg - INFO - Iter [5850/38400] lr: 2.159e-03, eta: 0:30:25, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2207, decode.loss_grad: 0.0000, loss: 0.2207, grad_norm: 0.1241 2024-01-03 17:49:02,675 - mmseg - INFO - Iter [5900/38400] lr: 2.175e-03, eta: 0:30:21, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2224, decode.loss_grad: 0.0000, loss: 0.2224, grad_norm: 0.1256 2024-01-03 17:49:05,236 - mmseg - INFO - Iter [5950/38400] lr: 2.191e-03, eta: 0:30:17, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2199, decode.loss_grad: 0.0000, loss: 0.2199, grad_norm: 0.1167 2024-01-03 17:49:07,806 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:49:07,807 - mmseg - INFO - Iter [6000/38400] lr: 2.208e-03, eta: 0:30:12, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2213, decode.loss_grad: 0.0000, loss: 0.2213, grad_norm: 0.1242 2024-01-03 17:49:10,677 - mmseg - INFO - Iter [6050/38400] lr: 2.224e-03, eta: 0:30:10, time: 0.057, data_time: 0.002, memory: 749, decode.loss_depth: 0.2155, decode.loss_grad: 0.0000, loss: 0.2155, grad_norm: 0.1183 2024-01-03 17:49:15,299 - mmseg - INFO - Iter [6100/38400] lr: 2.240e-03, eta: 0:30:17, time: 0.092, data_time: 0.043, memory: 749, decode.loss_depth: 0.2198, decode.loss_grad: 0.0000, loss: 0.2198, grad_norm: 0.1158 2024-01-03 17:49:17,893 - mmseg - INFO - Iter [6150/38400] lr: 2.256e-03, eta: 0:30:13, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2208, decode.loss_grad: 0.0000, loss: 0.2208, grad_norm: 0.1213 2024-01-03 17:49:20,792 - mmseg - INFO - Iter [6200/38400] lr: 2.272e-03, eta: 0:30:11, time: 0.058, data_time: 0.004, memory: 749, decode.loss_depth: 0.2147, decode.loss_grad: 0.0000, loss: 0.2147, grad_norm: 0.1275 2024-01-03 17:49:23,326 - mmseg - INFO - Iter [6250/38400] lr: 2.287e-03, eta: 0:30:06, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2182, decode.loss_grad: 0.0000, loss: 0.2182, grad_norm: 0.1163 2024-01-03 17:49:25,881 - mmseg - INFO - Iter [6300/38400] lr: 2.303e-03, eta: 0:30:02, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2149, decode.loss_grad: 0.0000, loss: 0.2149, grad_norm: 0.1222 2024-01-03 17:49:28,421 - mmseg - INFO - Iter [6350/38400] lr: 2.319e-03, eta: 0:29:58, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2134, decode.loss_grad: 0.0000, loss: 0.2134, grad_norm: 0.1186 2024-01-03 17:49:30,992 - mmseg - INFO - Saving checkpoint at 6400 iterations 2024-01-03 17:49:31,007 - mmseg - INFO - Iter [6400/38400] lr: 2.335e-03, eta: 0:29:54, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2140, decode.loss_grad: 0.0000, loss: 0.2140, grad_norm: 0.1116 2024-01-03 17:49:35,601 - mmseg - INFO - Summary: 2024-01-03 17:49:35,601 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.6375 | 0.8927 | 0.9674 | 0.2422 | 0.6842 | 0.0917 | 0.2568 | 19.5704 | 0.2243 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:49:35,603 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/original/vit_base_patch16_224.mae/best_abs_rel_iter_3200.pth was removed 2024-01-03 17:49:35,612 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_6400.pth. 2024-01-03 17:49:35,612 - mmseg - INFO - Best abs_rel is 0.2422 at 6400 iter. 2024-01-03 17:49:35,613 - mmseg - INFO - Iter(val) [82] a1: 0.6375, a2: 0.8927, a3: 0.9674, abs_rel: 0.24218663573265076, rmse: 0.6842306852340698, log_10: 0.09166033565998077, rmse_log: 0.2568255364894867, silog: 19.5704, sq_rel: 0.22429154813289642 2024-01-03 17:49:38,195 - mmseg - INFO - Iter [6450/38400] lr: 2.350e-03, eta: 0:30:13, time: 0.144, data_time: 0.094, memory: 749, decode.loss_depth: 0.2170, decode.loss_grad: 0.0000, loss: 0.2170, grad_norm: 0.1137 2024-01-03 17:49:40,752 - mmseg - INFO - Iter [6500/38400] lr: 2.366e-03, eta: 0:30:09, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2171, decode.loss_grad: 0.0000, loss: 0.2171, grad_norm: 0.1213 2024-01-03 17:49:43,505 - mmseg - INFO - Iter [6550/38400] lr: 2.381e-03, eta: 0:30:06, time: 0.055, data_time: 0.002, memory: 749, decode.loss_depth: 0.2136, decode.loss_grad: 0.0000, loss: 0.2136, grad_norm: 0.1166 2024-01-03 17:49:46,062 - mmseg - INFO - Iter [6600/38400] lr: 2.397e-03, eta: 0:30:01, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2166, decode.loss_grad: 0.0000, loss: 0.2166, grad_norm: 0.1135 2024-01-03 17:49:48,656 - mmseg - INFO - Iter [6650/38400] lr: 2.412e-03, eta: 0:29:57, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2192, decode.loss_grad: 0.0000, loss: 0.2192, grad_norm: 0.1174 2024-01-03 17:49:51,219 - mmseg - INFO - Iter [6700/38400] lr: 2.427e-03, eta: 0:29:53, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2187, decode.loss_grad: 0.0000, loss: 0.2187, grad_norm: 0.1150 2024-01-03 17:49:53,796 - mmseg - INFO - Iter [6750/38400] lr: 2.443e-03, eta: 0:29:49, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2207, decode.loss_grad: 0.0000, loss: 0.2207, grad_norm: 0.1150 2024-01-03 17:49:56,352 - mmseg - INFO - Iter [6800/38400] lr: 2.458e-03, eta: 0:29:45, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2112, decode.loss_grad: 0.0000, loss: 0.2112, grad_norm: 0.1164 2024-01-03 17:49:58,946 - mmseg - INFO - Iter [6850/38400] lr: 2.473e-03, eta: 0:29:41, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2220, decode.loss_grad: 0.0000, loss: 0.2220, grad_norm: 0.1256 2024-01-03 17:50:01,507 - mmseg - INFO - Iter [6900/38400] lr: 2.488e-03, eta: 0:29:37, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2163, decode.loss_grad: 0.0000, loss: 0.2163, grad_norm: 0.1050 2024-01-03 17:50:04,339 - mmseg - INFO - Iter [6950/38400] lr: 2.503e-03, eta: 0:29:35, time: 0.057, data_time: 0.002, memory: 749, decode.loss_depth: 0.2220, decode.loss_grad: 0.0000, loss: 0.2220, grad_norm: 0.1201 2024-01-03 17:50:06,908 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:50:06,908 - mmseg - INFO - Iter [7000/38400] lr: 2.518e-03, eta: 0:29:31, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2145, decode.loss_grad: 0.0000, loss: 0.2145, grad_norm: 0.1091 2024-01-03 17:50:09,482 - mmseg - INFO - Iter [7050/38400] lr: 2.533e-03, eta: 0:29:27, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2186, decode.loss_grad: 0.0000, loss: 0.2186, grad_norm: 0.1074 2024-01-03 17:50:12,059 - mmseg - INFO - Iter [7100/38400] lr: 2.548e-03, eta: 0:29:23, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2137, decode.loss_grad: 0.0000, loss: 0.2137, grad_norm: 0.1088 2024-01-03 17:50:14,652 - mmseg - INFO - Iter [7150/38400] lr: 2.563e-03, eta: 0:29:19, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2172, decode.loss_grad: 0.0000, loss: 0.2172, grad_norm: 0.1146 2024-01-03 17:50:17,230 - mmseg - INFO - Iter [7200/38400] lr: 2.577e-03, eta: 0:29:15, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2153, decode.loss_grad: 0.0000, loss: 0.2153, grad_norm: 0.1072 2024-01-03 17:50:19,806 - mmseg - INFO - Iter [7250/38400] lr: 2.592e-03, eta: 0:29:11, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2215, decode.loss_grad: 0.0000, loss: 0.2215, grad_norm: 0.1125 2024-01-03 17:50:22,393 - mmseg - INFO - Iter [7300/38400] lr: 2.606e-03, eta: 0:29:08, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2172, decode.loss_grad: 0.0000, loss: 0.2172, grad_norm: 0.1112 2024-01-03 17:50:24,985 - mmseg - INFO - Iter [7350/38400] lr: 2.621e-03, eta: 0:29:04, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2134, decode.loss_grad: 0.0000, loss: 0.2134, grad_norm: 0.1090 2024-01-03 17:50:27,562 - mmseg - INFO - Iter [7400/38400] lr: 2.635e-03, eta: 0:29:00, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2172, decode.loss_grad: 0.0000, loss: 0.2172, grad_norm: 0.1081 2024-01-03 17:50:30,134 - mmseg - INFO - Iter [7450/38400] lr: 2.650e-03, eta: 0:28:56, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2179, decode.loss_grad: 0.0000, loss: 0.2179, grad_norm: 0.1137 2024-01-03 17:50:32,718 - mmseg - INFO - Iter [7500/38400] lr: 2.664e-03, eta: 0:28:53, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2114, decode.loss_grad: 0.0000, loss: 0.2114, grad_norm: 0.1029 2024-01-03 17:50:35,425 - mmseg - INFO - Iter [7550/38400] lr: 2.678e-03, eta: 0:28:49, time: 0.054, data_time: 0.002, memory: 749, decode.loss_depth: 0.2126, decode.loss_grad: 0.0000, loss: 0.2126, grad_norm: 0.1095 2024-01-03 17:50:40,066 - mmseg - INFO - Iter [7600/38400] lr: 2.693e-03, eta: 0:28:54, time: 0.093, data_time: 0.043, memory: 749, decode.loss_depth: 0.2144, decode.loss_grad: 0.0000, loss: 0.2144, grad_norm: 0.1108 2024-01-03 17:50:42,652 - mmseg - INFO - Iter [7650/38400] lr: 2.707e-03, eta: 0:28:50, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2061, decode.loss_grad: 0.0000, loss: 0.2061, grad_norm: 0.1161 2024-01-03 17:50:45,249 - mmseg - INFO - Iter [7700/38400] lr: 2.721e-03, eta: 0:28:47, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2132, decode.loss_grad: 0.0000, loss: 0.2132, grad_norm: 0.1082 2024-01-03 17:50:47,842 - mmseg - INFO - Iter [7750/38400] lr: 2.735e-03, eta: 0:28:43, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2103, decode.loss_grad: 0.0000, loss: 0.2103, grad_norm: 0.1056 2024-01-03 17:50:50,451 - mmseg - INFO - Iter [7800/38400] lr: 2.749e-03, eta: 0:28:39, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2095, decode.loss_grad: 0.0000, loss: 0.2095, grad_norm: 0.0992 2024-01-03 17:50:53,007 - mmseg - INFO - Iter [7850/38400] lr: 2.762e-03, eta: 0:28:35, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2131, decode.loss_grad: 0.0000, loss: 0.2131, grad_norm: 0.1093 2024-01-03 17:50:55,560 - mmseg - INFO - Iter [7900/38400] lr: 2.776e-03, eta: 0:28:32, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2119, decode.loss_grad: 0.0000, loss: 0.2119, grad_norm: 0.1075 2024-01-03 17:50:58,284 - mmseg - INFO - Iter [7950/38400] lr: 2.790e-03, eta: 0:28:29, time: 0.054, data_time: 0.002, memory: 749, decode.loss_depth: 0.2139, decode.loss_grad: 0.0000, loss: 0.2139, grad_norm: 0.1169 2024-01-03 17:51:00,851 - mmseg - INFO - Saving checkpoint at 8000 iterations 2024-01-03 17:51:00,865 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:51:00,865 - mmseg - INFO - Iter [8000/38400] lr: 2.804e-03, eta: 0:28:25, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2101, decode.loss_grad: 0.0000, loss: 0.2101, grad_norm: 0.1040 2024-01-03 17:51:03,457 - mmseg - INFO - Iter [8050/38400] lr: 2.817e-03, eta: 0:28:21, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2059, decode.loss_grad: 0.0000, loss: 0.2059, grad_norm: 0.1050 2024-01-03 17:51:06,001 - mmseg - INFO - Iter [8100/38400] lr: 2.831e-03, eta: 0:28:18, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2117, decode.loss_grad: 0.0000, loss: 0.2117, grad_norm: 0.1109 2024-01-03 17:51:08,644 - mmseg - INFO - Iter [8150/38400] lr: 2.844e-03, eta: 0:28:14, time: 0.053, data_time: 0.002, memory: 749, decode.loss_depth: 0.2107, decode.loss_grad: 0.0000, loss: 0.2107, grad_norm: 0.1046 2024-01-03 17:51:11,211 - mmseg - INFO - Iter [8200/38400] lr: 2.857e-03, eta: 0:28:10, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2150, decode.loss_grad: 0.0000, loss: 0.2150, grad_norm: 0.1030 2024-01-03 17:51:13,751 - mmseg - INFO - Iter [8250/38400] lr: 2.871e-03, eta: 0:28:07, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2104, decode.loss_grad: 0.0000, loss: 0.2104, grad_norm: 0.1051 2024-01-03 17:51:16,293 - mmseg - INFO - Iter [8300/38400] lr: 2.884e-03, eta: 0:28:03, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2116, decode.loss_grad: 0.0000, loss: 0.2116, grad_norm: 0.0958 2024-01-03 17:51:18,941 - mmseg - INFO - Iter [8350/38400] lr: 2.897e-03, eta: 0:28:00, time: 0.053, data_time: 0.002, memory: 749, decode.loss_depth: 0.2078, decode.loss_grad: 0.0000, loss: 0.2078, grad_norm: 0.1057 2024-01-03 17:51:21,520 - mmseg - INFO - Iter [8400/38400] lr: 2.910e-03, eta: 0:27:56, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2118, decode.loss_grad: 0.0000, loss: 0.2118, grad_norm: 0.1055 2024-01-03 17:51:24,066 - mmseg - INFO - Iter [8450/38400] lr: 2.923e-03, eta: 0:27:52, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2085, decode.loss_grad: 0.0000, loss: 0.2085, grad_norm: 0.0965 2024-01-03 17:51:26,616 - mmseg - INFO - Iter [8500/38400] lr: 2.936e-03, eta: 0:27:49, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2140, decode.loss_grad: 0.0000, loss: 0.2140, grad_norm: 0.1073 2024-01-03 17:51:29,224 - mmseg - INFO - Iter [8550/38400] lr: 2.949e-03, eta: 0:27:45, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2147, decode.loss_grad: 0.0000, loss: 0.2147, grad_norm: 0.1049 2024-01-03 17:51:31,791 - mmseg - INFO - Iter [8600/38400] lr: 2.962e-03, eta: 0:27:42, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2107, decode.loss_grad: 0.0000, loss: 0.2107, grad_norm: 0.0981 2024-01-03 17:51:34,375 - mmseg - INFO - Iter [8650/38400] lr: 2.974e-03, eta: 0:27:38, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2083, decode.loss_grad: 0.0000, loss: 0.2083, grad_norm: 0.1011 2024-01-03 17:51:36,932 - mmseg - INFO - Iter [8700/38400] lr: 2.987e-03, eta: 0:27:35, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2153, decode.loss_grad: 0.0000, loss: 0.2153, grad_norm: 0.1034 2024-01-03 17:51:39,523 - mmseg - INFO - Iter [8750/38400] lr: 3.000e-03, eta: 0:27:31, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2073, decode.loss_grad: 0.0000, loss: 0.2073, grad_norm: 0.1000 2024-01-03 17:51:42,208 - mmseg - INFO - Iter [8800/38400] lr: 3.012e-03, eta: 0:27:28, time: 0.054, data_time: 0.002, memory: 749, decode.loss_depth: 0.2055, decode.loss_grad: 0.0000, loss: 0.2055, grad_norm: 0.1001 2024-01-03 17:51:44,781 - mmseg - INFO - Iter [8850/38400] lr: 3.025e-03, eta: 0:27:25, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2061, decode.loss_grad: 0.0000, loss: 0.2061, grad_norm: 0.1076 2024-01-03 17:51:47,332 - mmseg - INFO - Iter [8900/38400] lr: 3.037e-03, eta: 0:27:21, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2084, decode.loss_grad: 0.0000, loss: 0.2084, grad_norm: 0.1041 2024-01-03 17:51:49,921 - mmseg - INFO - Iter [8950/38400] lr: 3.049e-03, eta: 0:27:18, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2024, decode.loss_grad: 0.0000, loss: 0.2024, grad_norm: 0.1002 2024-01-03 17:51:52,729 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:51:52,729 - mmseg - INFO - Iter [9000/38400] lr: 3.061e-03, eta: 0:27:15, time: 0.056, data_time: 0.002, memory: 749, decode.loss_depth: 0.2107, decode.loss_grad: 0.0000, loss: 0.2107, grad_norm: 0.1039 2024-01-03 17:51:55,293 - mmseg - INFO - Iter [9050/38400] lr: 3.073e-03, eta: 0:27:11, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2029, decode.loss_grad: 0.0000, loss: 0.2029, grad_norm: 0.0946 2024-01-03 17:51:59,924 - mmseg - INFO - Iter [9100/38400] lr: 3.085e-03, eta: 0:27:15, time: 0.093, data_time: 0.044, memory: 749, decode.loss_depth: 0.2082, decode.loss_grad: 0.0000, loss: 0.2082, grad_norm: 0.1041 2024-01-03 17:52:02,581 - mmseg - INFO - Iter [9150/38400] lr: 3.097e-03, eta: 0:27:11, time: 0.053, data_time: 0.002, memory: 749, decode.loss_depth: 0.2076, decode.loss_grad: 0.0000, loss: 0.2076, grad_norm: 0.1001 2024-01-03 17:52:05,121 - mmseg - INFO - Iter [9200/38400] lr: 3.109e-03, eta: 0:27:08, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2023, decode.loss_grad: 0.0000, loss: 0.2023, grad_norm: 0.0962 2024-01-03 17:52:07,677 - mmseg - INFO - Iter [9250/38400] lr: 3.121e-03, eta: 0:27:04, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2059, decode.loss_grad: 0.0000, loss: 0.2059, grad_norm: 0.1009 2024-01-03 17:52:10,237 - mmseg - INFO - Iter [9300/38400] lr: 3.133e-03, eta: 0:27:01, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2050, decode.loss_grad: 0.0000, loss: 0.2050, grad_norm: 0.0978 2024-01-03 17:52:12,837 - mmseg - INFO - Iter [9350/38400] lr: 3.145e-03, eta: 0:26:57, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2011, decode.loss_grad: 0.0000, loss: 0.2011, grad_norm: 0.0964 2024-01-03 17:52:15,410 - mmseg - INFO - Iter [9400/38400] lr: 3.156e-03, eta: 0:26:54, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2081, decode.loss_grad: 0.0000, loss: 0.2081, grad_norm: 0.0958 2024-01-03 17:52:17,985 - mmseg - INFO - Iter [9450/38400] lr: 3.168e-03, eta: 0:26:51, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2050, decode.loss_grad: 0.0000, loss: 0.2050, grad_norm: 0.1002 2024-01-03 17:52:20,540 - mmseg - INFO - Iter [9500/38400] lr: 3.179e-03, eta: 0:26:47, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2055, decode.loss_grad: 0.0000, loss: 0.2055, grad_norm: 0.0931 2024-01-03 17:52:23,116 - mmseg - INFO - Iter [9550/38400] lr: 3.190e-03, eta: 0:26:44, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2027, decode.loss_grad: 0.0000, loss: 0.2027, grad_norm: 0.0974 2024-01-03 17:52:25,700 - mmseg - INFO - Saving checkpoint at 9600 iterations 2024-01-03 17:52:25,716 - mmseg - INFO - Iter [9600/38400] lr: 3.202e-03, eta: 0:26:40, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2118, decode.loss_grad: 0.0000, loss: 0.2118, grad_norm: 0.1038 2024-01-03 17:52:30,330 - mmseg - INFO - Summary: 2024-01-03 17:52:30,333 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+--------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+--------+--------+ | 0.5151 | 0.8237 | 0.9409 | 0.3363 | 0.8903 | 0.1162 | 0.3147 | 19.548 | 0.4086 | +--------+--------+--------+---------+--------+--------+----------+--------+--------+ 2024-01-03 17:52:30,333 - mmseg - INFO - Iter(val) [82] a1: 0.5151, a2: 0.8237, a3: 0.9409, abs_rel: 0.3363085985183716, rmse: 0.8902856707572937, log_10: 0.11624821275472641, rmse_log: 0.31467217206954956, silog: 19.5480, sq_rel: 0.40859004855155945 2024-01-03 17:52:32,931 - mmseg - INFO - Iter [9650/38400] lr: 3.213e-03, eta: 0:26:51, time: 0.144, data_time: 0.095, memory: 749, decode.loss_depth: 0.2098, decode.loss_grad: 0.0000, loss: 0.2098, grad_norm: 0.1003 2024-01-03 17:52:35,639 - mmseg - INFO - Iter [9700/38400] lr: 3.224e-03, eta: 0:26:48, time: 0.054, data_time: 0.002, memory: 749, decode.loss_depth: 0.2048, decode.loss_grad: 0.0000, loss: 0.2048, grad_norm: 0.0933 2024-01-03 17:52:38,234 - mmseg - INFO - Iter [9750/38400] lr: 3.235e-03, eta: 0:26:44, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2048, decode.loss_grad: 0.0000, loss: 0.2048, grad_norm: 0.0943 2024-01-03 17:52:40,805 - mmseg - INFO - Iter [9800/38400] lr: 3.246e-03, eta: 0:26:41, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2033, decode.loss_grad: 0.0000, loss: 0.2033, grad_norm: 0.0953 2024-01-03 17:52:43,393 - mmseg - INFO - Iter [9850/38400] lr: 3.257e-03, eta: 0:26:37, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2122, decode.loss_grad: 0.0000, loss: 0.2122, grad_norm: 0.1004 2024-01-03 17:52:46,028 - mmseg - INFO - Iter [9900/38400] lr: 3.268e-03, eta: 0:26:34, time: 0.053, data_time: 0.002, memory: 749, decode.loss_depth: 0.2033, decode.loss_grad: 0.0000, loss: 0.2033, grad_norm: 0.0991 2024-01-03 17:52:48,586 - mmseg - INFO - Iter [9950/38400] lr: 3.278e-03, eta: 0:26:31, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2076, decode.loss_grad: 0.0000, loss: 0.2076, grad_norm: 0.0966 2024-01-03 17:52:51,175 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:52:51,175 - mmseg - INFO - Iter [10000/38400] lr: 3.289e-03, eta: 0:26:27, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2034, decode.loss_grad: 0.0000, loss: 0.2034, grad_norm: 0.0969 2024-01-03 17:52:53,739 - mmseg - INFO - Iter [10050/38400] lr: 3.300e-03, eta: 0:26:24, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2103, decode.loss_grad: 0.0000, loss: 0.2103, grad_norm: 0.0993 2024-01-03 17:52:56,487 - mmseg - INFO - Iter [10100/38400] lr: 3.310e-03, eta: 0:26:21, time: 0.055, data_time: 0.002, memory: 749, decode.loss_depth: 0.2025, decode.loss_grad: 0.0000, loss: 0.2025, grad_norm: 0.0980 2024-01-03 17:52:59,090 - mmseg - INFO - Iter [10150/38400] lr: 3.320e-03, eta: 0:26:18, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2029, decode.loss_grad: 0.0000, loss: 0.2029, grad_norm: 0.0959 2024-01-03 17:53:01,681 - mmseg - INFO - Iter [10200/38400] lr: 3.331e-03, eta: 0:26:14, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2036, decode.loss_grad: 0.0000, loss: 0.2036, grad_norm: 0.0888 2024-01-03 17:53:04,276 - mmseg - INFO - Iter [10250/38400] lr: 3.341e-03, eta: 0:26:11, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2120, decode.loss_grad: 0.0000, loss: 0.2120, grad_norm: 0.0960 2024-01-03 17:53:06,883 - mmseg - INFO - Iter [10300/38400] lr: 3.351e-03, eta: 0:26:08, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1998, decode.loss_grad: 0.0000, loss: 0.1998, grad_norm: 0.0922 2024-01-03 17:53:09,501 - mmseg - INFO - Iter [10350/38400] lr: 3.361e-03, eta: 0:26:04, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2077, decode.loss_grad: 0.0000, loss: 0.2077, grad_norm: 0.0929 2024-01-03 17:53:12,091 - mmseg - INFO - Iter [10400/38400] lr: 3.371e-03, eta: 0:26:01, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2045, decode.loss_grad: 0.0000, loss: 0.2045, grad_norm: 0.0935 2024-01-03 17:53:14,687 - mmseg - INFO - Iter [10450/38400] lr: 3.381e-03, eta: 0:25:58, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2031, decode.loss_grad: 0.0000, loss: 0.2031, grad_norm: 0.0949 2024-01-03 17:53:17,308 - mmseg - INFO - Iter [10500/38400] lr: 3.391e-03, eta: 0:25:55, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2031, decode.loss_grad: 0.0000, loss: 0.2031, grad_norm: 0.0900 2024-01-03 17:53:19,902 - mmseg - INFO - Iter [10550/38400] lr: 3.401e-03, eta: 0:25:51, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2016, decode.loss_grad: 0.0000, loss: 0.2016, grad_norm: 0.0888 2024-01-03 17:53:24,556 - mmseg - INFO - Iter [10600/38400] lr: 3.410e-03, eta: 0:25:53, time: 0.093, data_time: 0.044, memory: 749, decode.loss_depth: 0.2022, decode.loss_grad: 0.0000, loss: 0.2022, grad_norm: 0.0863 2024-01-03 17:53:27,136 - mmseg - INFO - Iter [10650/38400] lr: 3.420e-03, eta: 0:25:50, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2021, decode.loss_grad: 0.0000, loss: 0.2021, grad_norm: 0.0993 2024-01-03 17:53:29,721 - mmseg - INFO - Iter [10700/38400] lr: 3.429e-03, eta: 0:25:47, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2085, decode.loss_grad: 0.0000, loss: 0.2085, grad_norm: 0.0910 2024-01-03 17:53:32,306 - mmseg - INFO - Iter [10750/38400] lr: 3.439e-03, eta: 0:25:43, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2057, decode.loss_grad: 0.0000, loss: 0.2057, grad_norm: 0.0947 2024-01-03 17:53:34,882 - mmseg - INFO - Iter [10800/38400] lr: 3.448e-03, eta: 0:25:40, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2004, decode.loss_grad: 0.0000, loss: 0.2004, grad_norm: 0.0914 2024-01-03 17:53:37,443 - mmseg - INFO - Iter [10850/38400] lr: 3.457e-03, eta: 0:25:37, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1991, decode.loss_grad: 0.0000, loss: 0.1991, grad_norm: 0.0871 2024-01-03 17:53:40,188 - mmseg - INFO - Iter [10900/38400] lr: 3.466e-03, eta: 0:25:34, time: 0.055, data_time: 0.002, memory: 749, decode.loss_depth: 0.2013, decode.loss_grad: 0.0000, loss: 0.2013, grad_norm: 0.0913 2024-01-03 17:53:42,783 - mmseg - INFO - Iter [10950/38400] lr: 3.475e-03, eta: 0:25:30, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2020, decode.loss_grad: 0.0000, loss: 0.2020, grad_norm: 0.0918 2024-01-03 17:53:45,366 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:53:45,366 - mmseg - INFO - Iter [11000/38400] lr: 3.484e-03, eta: 0:25:27, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1961, decode.loss_grad: 0.0000, loss: 0.1961, grad_norm: 0.0914 2024-01-03 17:53:47,973 - mmseg - INFO - Iter [11050/38400] lr: 3.493e-03, eta: 0:25:24, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2038, decode.loss_grad: 0.0000, loss: 0.2038, grad_norm: 0.0886 2024-01-03 17:53:50,771 - mmseg - INFO - Iter [11100/38400] lr: 3.502e-03, eta: 0:25:21, time: 0.056, data_time: 0.002, memory: 749, decode.loss_depth: 0.1993, decode.loss_grad: 0.0000, loss: 0.1993, grad_norm: 0.0892 2024-01-03 17:53:53,356 - mmseg - INFO - Iter [11150/38400] lr: 3.511e-03, eta: 0:25:18, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1997, decode.loss_grad: 0.0000, loss: 0.1997, grad_norm: 0.0929 2024-01-03 17:53:55,940 - mmseg - INFO - Saving checkpoint at 11200 iterations 2024-01-03 17:53:55,954 - mmseg - INFO - Iter [11200/38400] lr: 3.519e-03, eta: 0:25:15, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1972, decode.loss_grad: 0.0000, loss: 0.1972, grad_norm: 0.0846 2024-01-03 17:53:58,504 - mmseg - INFO - Iter [11250/38400] lr: 3.528e-03, eta: 0:25:11, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1955, decode.loss_grad: 0.0000, loss: 0.1955, grad_norm: 0.0895 2024-01-03 17:54:01,348 - mmseg - INFO - Iter [11300/38400] lr: 3.537e-03, eta: 0:25:09, time: 0.057, data_time: 0.002, memory: 749, decode.loss_depth: 0.2077, decode.loss_grad: 0.0000, loss: 0.2077, grad_norm: 0.0925 2024-01-03 17:54:03,948 - mmseg - INFO - Iter [11350/38400] lr: 3.545e-03, eta: 0:25:05, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2007, decode.loss_grad: 0.0000, loss: 0.2007, grad_norm: 0.0918 2024-01-03 17:54:06,524 - mmseg - INFO - Iter [11400/38400] lr: 3.553e-03, eta: 0:25:02, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1972, decode.loss_grad: 0.0000, loss: 0.1972, grad_norm: 0.0892 2024-01-03 17:54:09,095 - mmseg - INFO - Iter [11450/38400] lr: 3.561e-03, eta: 0:24:59, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2029, decode.loss_grad: 0.0000, loss: 0.2029, grad_norm: 0.0881 2024-01-03 17:54:11,665 - mmseg - INFO - Iter [11500/38400] lr: 3.570e-03, eta: 0:24:56, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2048, decode.loss_grad: 0.0000, loss: 0.2048, grad_norm: 0.0930 2024-01-03 17:54:14,252 - mmseg - INFO - Iter [11550/38400] lr: 3.578e-03, eta: 0:24:52, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1965, decode.loss_grad: 0.0000, loss: 0.1965, grad_norm: 0.0886 2024-01-03 17:54:16,834 - mmseg - INFO - Iter [11600/38400] lr: 3.586e-03, eta: 0:24:49, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1998, decode.loss_grad: 0.0000, loss: 0.1998, grad_norm: 0.0941 2024-01-03 17:54:19,432 - mmseg - INFO - Iter [11650/38400] lr: 3.593e-03, eta: 0:24:46, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1997, decode.loss_grad: 0.0000, loss: 0.1997, grad_norm: 0.0900 2024-01-03 17:54:22,104 - mmseg - INFO - Iter [11700/38400] lr: 3.601e-03, eta: 0:24:43, time: 0.053, data_time: 0.002, memory: 749, decode.loss_depth: 0.2011, decode.loss_grad: 0.0000, loss: 0.2011, grad_norm: 0.0961 2024-01-03 17:54:24,699 - mmseg - INFO - Iter [11750/38400] lr: 3.609e-03, eta: 0:24:40, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1994, decode.loss_grad: 0.0000, loss: 0.1994, grad_norm: 0.0957 2024-01-03 17:54:27,292 - mmseg - INFO - Iter [11800/38400] lr: 3.616e-03, eta: 0:24:36, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1986, decode.loss_grad: 0.0000, loss: 0.1986, grad_norm: 0.0920 2024-01-03 17:54:29,854 - mmseg - INFO - Iter [11850/38400] lr: 3.624e-03, eta: 0:24:33, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1985, decode.loss_grad: 0.0000, loss: 0.1985, grad_norm: 0.0903 2024-01-03 17:54:32,438 - mmseg - INFO - Iter [11900/38400] lr: 3.631e-03, eta: 0:24:30, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2055, decode.loss_grad: 0.0000, loss: 0.2055, grad_norm: 0.0923 2024-01-03 17:54:35,015 - mmseg - INFO - Iter [11950/38400] lr: 3.639e-03, eta: 0:24:27, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2013, decode.loss_grad: 0.0000, loss: 0.2013, grad_norm: 0.0871 2024-01-03 17:54:37,570 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:54:37,570 - mmseg - INFO - Iter [12000/38400] lr: 3.646e-03, eta: 0:24:24, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1989, decode.loss_grad: 0.0000, loss: 0.1989, grad_norm: 0.0876 2024-01-03 17:54:40,171 - mmseg - INFO - Iter [12050/38400] lr: 3.653e-03, eta: 0:24:20, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2043, decode.loss_grad: 0.0000, loss: 0.2043, grad_norm: 0.0848 2024-01-03 17:54:42,758 - mmseg - INFO - Iter [12100/38400] lr: 3.660e-03, eta: 0:24:17, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2038, decode.loss_grad: 0.0000, loss: 0.2038, grad_norm: 0.0829 2024-01-03 17:54:47,442 - mmseg - INFO - Iter [12150/38400] lr: 3.667e-03, eta: 0:24:19, time: 0.094, data_time: 0.044, memory: 749, decode.loss_depth: 0.1923, decode.loss_grad: 0.0000, loss: 0.1923, grad_norm: 0.0844 2024-01-03 17:54:50,001 - mmseg - INFO - Iter [12200/38400] lr: 3.674e-03, eta: 0:24:15, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2003, decode.loss_grad: 0.0000, loss: 0.2003, grad_norm: 0.0920 2024-01-03 17:54:52,574 - mmseg - INFO - Iter [12250/38400] lr: 3.681e-03, eta: 0:24:12, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2003, decode.loss_grad: 0.0000, loss: 0.2003, grad_norm: 0.0891 2024-01-03 17:54:55,144 - mmseg - INFO - Iter [12300/38400] lr: 3.688e-03, eta: 0:24:09, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1981, decode.loss_grad: 0.0000, loss: 0.1981, grad_norm: 0.0863 2024-01-03 17:54:57,725 - mmseg - INFO - Iter [12350/38400] lr: 3.694e-03, eta: 0:24:06, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1946, decode.loss_grad: 0.0000, loss: 0.1946, grad_norm: 0.0827 2024-01-03 17:55:00,326 - mmseg - INFO - Iter [12400/38400] lr: 3.701e-03, eta: 0:24:03, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1986, decode.loss_grad: 0.0000, loss: 0.1986, grad_norm: 0.0831 2024-01-03 17:55:02,905 - mmseg - INFO - Iter [12450/38400] lr: 3.707e-03, eta: 0:23:59, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1974, decode.loss_grad: 0.0000, loss: 0.1974, grad_norm: 0.0905 2024-01-03 17:55:05,590 - mmseg - INFO - Iter [12500/38400] lr: 3.714e-03, eta: 0:23:56, time: 0.054, data_time: 0.002, memory: 749, decode.loss_depth: 0.1965, decode.loss_grad: 0.0000, loss: 0.1965, grad_norm: 0.0868 2024-01-03 17:55:08,173 - mmseg - INFO - Iter [12550/38400] lr: 3.720e-03, eta: 0:23:53, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1991, decode.loss_grad: 0.0000, loss: 0.1991, grad_norm: 0.0908 2024-01-03 17:55:10,735 - mmseg - INFO - Iter [12600/38400] lr: 3.726e-03, eta: 0:23:50, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1993, decode.loss_grad: 0.0000, loss: 0.1993, grad_norm: 0.0861 2024-01-03 17:55:13,297 - mmseg - INFO - Iter [12650/38400] lr: 3.732e-03, eta: 0:23:47, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1979, decode.loss_grad: 0.0000, loss: 0.1979, grad_norm: 0.0879 2024-01-03 17:55:16,091 - mmseg - INFO - Iter [12700/38400] lr: 3.738e-03, eta: 0:23:44, time: 0.056, data_time: 0.002, memory: 749, decode.loss_depth: 0.1996, decode.loss_grad: 0.0000, loss: 0.1996, grad_norm: 0.0848 2024-01-03 17:55:18,670 - mmseg - INFO - Iter [12750/38400] lr: 3.744e-03, eta: 0:23:41, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1987, decode.loss_grad: 0.0000, loss: 0.1987, grad_norm: 0.0823 2024-01-03 17:55:21,273 - mmseg - INFO - Saving checkpoint at 12800 iterations 2024-01-03 17:55:21,290 - mmseg - INFO - Iter [12800/38400] lr: 3.750e-03, eta: 0:23:38, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1963, decode.loss_grad: 0.0000, loss: 0.1963, grad_norm: 0.0851 2024-01-03 17:55:25,891 - mmseg - INFO - Summary: 2024-01-03 17:55:25,891 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.6144 | 0.8799 | 0.9622 | 0.2647 | 0.7345 | 0.0962 | 0.2673 | 18.8706 | 0.2689 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:55:25,891 - mmseg - INFO - Iter(val) [82] a1: 0.6144, a2: 0.8799, a3: 0.9622, abs_rel: 0.2647494077682495, rmse: 0.7345359921455383, log_10: 0.09616418927907944, rmse_log: 0.26733508706092834, silog: 18.8706, sq_rel: 0.2689119279384613 2024-01-03 17:55:28,448 - mmseg - INFO - Iter [12850/38400] lr: 3.741e-03, eta: 0:23:44, time: 0.143, data_time: 0.094, memory: 749, decode.loss_depth: 0.1971, decode.loss_grad: 0.0000, loss: 0.1971, grad_norm: 0.0901 2024-01-03 17:55:31,024 - mmseg - INFO - Iter [12900/38400] lr: 3.732e-03, eta: 0:23:41, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2003, decode.loss_grad: 0.0000, loss: 0.2003, grad_norm: 0.0895 2024-01-03 17:55:33,601 - mmseg - INFO - Iter [12950/38400] lr: 3.724e-03, eta: 0:23:37, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1922, decode.loss_grad: 0.0000, loss: 0.1922, grad_norm: 0.0834 2024-01-03 17:55:36,239 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:55:36,239 - mmseg - INFO - Iter [13000/38400] lr: 3.715e-03, eta: 0:23:34, time: 0.053, data_time: 0.002, memory: 749, decode.loss_depth: 0.1962, decode.loss_grad: 0.0000, loss: 0.1962, grad_norm: 0.0851 2024-01-03 17:55:38,819 - mmseg - INFO - Iter [13050/38400] lr: 3.706e-03, eta: 0:23:31, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1943, decode.loss_grad: 0.0000, loss: 0.1943, grad_norm: 0.0848 2024-01-03 17:55:41,377 - mmseg - INFO - Iter [13100/38400] lr: 3.697e-03, eta: 0:23:28, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1958, decode.loss_grad: 0.0000, loss: 0.1958, grad_norm: 0.0849 2024-01-03 17:55:43,946 - mmseg - INFO - Iter [13150/38400] lr: 3.688e-03, eta: 0:23:25, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1952, decode.loss_grad: 0.0000, loss: 0.1952, grad_norm: 0.0819 2024-01-03 17:55:46,526 - mmseg - INFO - Iter [13200/38400] lr: 3.679e-03, eta: 0:23:22, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1946, decode.loss_grad: 0.0000, loss: 0.1946, grad_norm: 0.0825 2024-01-03 17:55:49,215 - mmseg - INFO - Iter [13250/38400] lr: 3.670e-03, eta: 0:23:19, time: 0.054, data_time: 0.002, memory: 749, decode.loss_depth: 0.1952, decode.loss_grad: 0.0000, loss: 0.1952, grad_norm: 0.0849 2024-01-03 17:55:51,776 - mmseg - INFO - Iter [13300/38400] lr: 3.661e-03, eta: 0:23:15, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1968, decode.loss_grad: 0.0000, loss: 0.1968, grad_norm: 0.0862 2024-01-03 17:55:54,364 - mmseg - INFO - Iter [13350/38400] lr: 3.652e-03, eta: 0:23:12, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1995, decode.loss_grad: 0.0000, loss: 0.1995, grad_norm: 0.0837 2024-01-03 17:55:56,923 - mmseg - INFO - Iter [13400/38400] lr: 3.642e-03, eta: 0:23:09, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1972, decode.loss_grad: 0.0000, loss: 0.1972, grad_norm: 0.0882 2024-01-03 17:55:59,639 - mmseg - INFO - Iter [13450/38400] lr: 3.633e-03, eta: 0:23:06, time: 0.054, data_time: 0.002, memory: 749, decode.loss_depth: 0.1937, decode.loss_grad: 0.0000, loss: 0.1937, grad_norm: 0.0872 2024-01-03 17:56:02,213 - mmseg - INFO - Iter [13500/38400] lr: 3.624e-03, eta: 0:23:03, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1938, decode.loss_grad: 0.0000, loss: 0.1938, grad_norm: 0.0853 2024-01-03 17:56:04,774 - mmseg - INFO - Iter [13550/38400] lr: 3.615e-03, eta: 0:23:00, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1934, decode.loss_grad: 0.0000, loss: 0.1934, grad_norm: 0.0820 2024-01-03 17:56:07,356 - mmseg - INFO - Iter [13600/38400] lr: 3.606e-03, eta: 0:22:57, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1957, decode.loss_grad: 0.0000, loss: 0.1957, grad_norm: 0.0823 2024-01-03 17:56:12,015 - mmseg - INFO - Iter [13650/38400] lr: 3.597e-03, eta: 0:22:57, time: 0.093, data_time: 0.043, memory: 749, decode.loss_depth: 0.1931, decode.loss_grad: 0.0000, loss: 0.1931, grad_norm: 0.0816 2024-01-03 17:56:14,602 - mmseg - INFO - Iter [13700/38400] lr: 3.588e-03, eta: 0:22:54, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1996, decode.loss_grad: 0.0000, loss: 0.1996, grad_norm: 0.0821 2024-01-03 17:56:17,164 - mmseg - INFO - Iter [13750/38400] lr: 3.578e-03, eta: 0:22:51, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1887, decode.loss_grad: 0.0000, loss: 0.1887, grad_norm: 0.0769 2024-01-03 17:56:19,836 - mmseg - INFO - Iter [13800/38400] lr: 3.569e-03, eta: 0:22:48, time: 0.053, data_time: 0.002, memory: 749, decode.loss_depth: 0.1949, decode.loss_grad: 0.0000, loss: 0.1949, grad_norm: 0.0833 2024-01-03 17:56:22,396 - mmseg - INFO - Iter [13850/38400] lr: 3.560e-03, eta: 0:22:45, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1931, decode.loss_grad: 0.0000, loss: 0.1931, grad_norm: 0.0826 2024-01-03 17:56:24,992 - mmseg - INFO - Iter [13900/38400] lr: 3.551e-03, eta: 0:22:42, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1964, decode.loss_grad: 0.0000, loss: 0.1964, grad_norm: 0.0854 2024-01-03 17:56:27,563 - mmseg - INFO - Iter [13950/38400] lr: 3.541e-03, eta: 0:22:39, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1992, decode.loss_grad: 0.0000, loss: 0.1992, grad_norm: 0.0825 2024-01-03 17:56:30,268 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:56:30,269 - mmseg - INFO - Iter [14000/38400] lr: 3.532e-03, eta: 0:22:36, time: 0.054, data_time: 0.002, memory: 749, decode.loss_depth: 0.1930, decode.loss_grad: 0.0000, loss: 0.1930, grad_norm: 0.0796 2024-01-03 17:56:32,851 - mmseg - INFO - Iter [14050/38400] lr: 3.523e-03, eta: 0:22:33, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1923, decode.loss_grad: 0.0000, loss: 0.1923, grad_norm: 0.0831 2024-01-03 17:56:35,434 - mmseg - INFO - Iter [14100/38400] lr: 3.513e-03, eta: 0:22:30, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1905, decode.loss_grad: 0.0000, loss: 0.1905, grad_norm: 0.0846 2024-01-03 17:56:37,988 - mmseg - INFO - Iter [14150/38400] lr: 3.504e-03, eta: 0:22:26, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1922, decode.loss_grad: 0.0000, loss: 0.1922, grad_norm: 0.0808 2024-01-03 17:56:40,737 - mmseg - INFO - Iter [14200/38400] lr: 3.495e-03, eta: 0:22:24, time: 0.055, data_time: 0.002, memory: 749, decode.loss_depth: 0.1932, decode.loss_grad: 0.0000, loss: 0.1932, grad_norm: 0.0832 2024-01-03 17:56:43,332 - mmseg - INFO - Iter [14250/38400] lr: 3.485e-03, eta: 0:22:20, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1904, decode.loss_grad: 0.0000, loss: 0.1904, grad_norm: 0.0801 2024-01-03 17:56:45,894 - mmseg - INFO - Iter [14300/38400] lr: 3.476e-03, eta: 0:22:17, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1977, decode.loss_grad: 0.0000, loss: 0.1977, grad_norm: 0.0849 2024-01-03 17:56:48,500 - mmseg - INFO - Iter [14350/38400] lr: 3.466e-03, eta: 0:22:14, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1891, decode.loss_grad: 0.0000, loss: 0.1891, grad_norm: 0.0866 2024-01-03 17:56:51,089 - mmseg - INFO - Saving checkpoint at 14400 iterations 2024-01-03 17:56:51,104 - mmseg - INFO - Iter [14400/38400] lr: 3.457e-03, eta: 0:22:11, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1943, decode.loss_grad: 0.0000, loss: 0.1943, grad_norm: 0.0819 2024-01-03 17:56:53,711 - mmseg - INFO - Iter [14450/38400] lr: 3.447e-03, eta: 0:22:08, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1966, decode.loss_grad: 0.0000, loss: 0.1966, grad_norm: 0.0832 2024-01-03 17:56:56,300 - mmseg - INFO - Iter [14500/38400] lr: 3.438e-03, eta: 0:22:05, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1890, decode.loss_grad: 0.0000, loss: 0.1890, grad_norm: 0.0778 2024-01-03 17:56:58,890 - mmseg - INFO - Iter [14550/38400] lr: 3.428e-03, eta: 0:22:02, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1931, decode.loss_grad: 0.0000, loss: 0.1931, grad_norm: 0.0798 2024-01-03 17:57:01,475 - mmseg - INFO - Iter [14600/38400] lr: 3.419e-03, eta: 0:21:59, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1934, decode.loss_grad: 0.0000, loss: 0.1934, grad_norm: 0.0781 2024-01-03 17:57:04,026 - mmseg - INFO - Iter [14650/38400] lr: 3.409e-03, eta: 0:21:56, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1858, decode.loss_grad: 0.0000, loss: 0.1858, grad_norm: 0.0788 2024-01-03 17:57:06,585 - mmseg - INFO - Iter [14700/38400] lr: 3.400e-03, eta: 0:21:53, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1924, decode.loss_grad: 0.0000, loss: 0.1924, grad_norm: 0.0820 2024-01-03 17:57:09,134 - mmseg - INFO - Iter [14750/38400] lr: 3.390e-03, eta: 0:21:50, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1961, decode.loss_grad: 0.0000, loss: 0.1961, grad_norm: 0.0776 2024-01-03 17:57:11,718 - mmseg - INFO - Iter [14800/38400] lr: 3.381e-03, eta: 0:21:46, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1952, decode.loss_grad: 0.0000, loss: 0.1952, grad_norm: 0.0835 2024-01-03 17:57:14,553 - mmseg - INFO - Iter [14850/38400] lr: 3.371e-03, eta: 0:21:44, time: 0.057, data_time: 0.002, memory: 749, decode.loss_depth: 0.1921, decode.loss_grad: 0.0000, loss: 0.1921, grad_norm: 0.0804 2024-01-03 17:57:17,167 - mmseg - INFO - Iter [14900/38400] lr: 3.362e-03, eta: 0:21:41, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1908, decode.loss_grad: 0.0000, loss: 0.1908, grad_norm: 0.0806 2024-01-03 17:57:19,736 - mmseg - INFO - Iter [14950/38400] lr: 3.352e-03, eta: 0:21:38, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1923, decode.loss_grad: 0.0000, loss: 0.1923, grad_norm: 0.0805 2024-01-03 17:57:22,319 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:57:22,320 - mmseg - INFO - Iter [15000/38400] lr: 3.342e-03, eta: 0:21:35, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1869, decode.loss_grad: 0.0000, loss: 0.1869, grad_norm: 0.0799 2024-01-03 17:57:25,006 - mmseg - INFO - Iter [15050/38400] lr: 3.333e-03, eta: 0:21:32, time: 0.054, data_time: 0.002, memory: 749, decode.loss_depth: 0.1942, decode.loss_grad: 0.0000, loss: 0.1942, grad_norm: 0.0824 2024-01-03 17:57:27,574 - mmseg - INFO - Iter [15100/38400] lr: 3.323e-03, eta: 0:21:29, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1924, decode.loss_grad: 0.0000, loss: 0.1924, grad_norm: 0.0806 2024-01-03 17:57:32,206 - mmseg - INFO - Iter [15150/38400] lr: 3.313e-03, eta: 0:21:29, time: 0.093, data_time: 0.043, memory: 749, decode.loss_depth: 0.1896, decode.loss_grad: 0.0000, loss: 0.1896, grad_norm: 0.0800 2024-01-03 17:57:34,902 - mmseg - INFO - Iter [15200/38400] lr: 3.304e-03, eta: 0:21:26, time: 0.054, data_time: 0.005, memory: 749, decode.loss_depth: 0.1896, decode.loss_grad: 0.0000, loss: 0.1896, grad_norm: 0.0769 2024-01-03 17:57:37,500 - mmseg - INFO - Iter [15250/38400] lr: 3.294e-03, eta: 0:21:23, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1912, decode.loss_grad: 0.0000, loss: 0.1912, grad_norm: 0.0774 2024-01-03 17:57:40,086 - mmseg - INFO - Iter [15300/38400] lr: 3.284e-03, eta: 0:21:20, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1885, decode.loss_grad: 0.0000, loss: 0.1885, grad_norm: 0.0814 2024-01-03 17:57:42,666 - mmseg - INFO - Iter [15350/38400] lr: 3.275e-03, eta: 0:21:17, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1915, decode.loss_grad: 0.0000, loss: 0.1915, grad_norm: 0.0788 2024-01-03 17:57:45,396 - mmseg - INFO - Iter [15400/38400] lr: 3.265e-03, eta: 0:21:14, time: 0.055, data_time: 0.002, memory: 749, decode.loss_depth: 0.1924, decode.loss_grad: 0.0000, loss: 0.1924, grad_norm: 0.0823 2024-01-03 17:57:47,964 - mmseg - INFO - Iter [15450/38400] lr: 3.255e-03, eta: 0:21:11, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1915, decode.loss_grad: 0.0000, loss: 0.1915, grad_norm: 0.0821 2024-01-03 17:57:50,511 - mmseg - INFO - Iter [15500/38400] lr: 3.245e-03, eta: 0:21:08, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1894, decode.loss_grad: 0.0000, loss: 0.1894, grad_norm: 0.0748 2024-01-03 17:57:53,101 - mmseg - INFO - Iter [15550/38400] lr: 3.236e-03, eta: 0:21:05, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1874, decode.loss_grad: 0.0000, loss: 0.1874, grad_norm: 0.0783 2024-01-03 17:57:55,667 - mmseg - INFO - Iter [15600/38400] lr: 3.226e-03, eta: 0:21:02, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1899, decode.loss_grad: 0.0000, loss: 0.1899, grad_norm: 0.0800 2024-01-03 17:57:58,244 - mmseg - INFO - Iter [15650/38400] lr: 3.216e-03, eta: 0:20:59, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1877, decode.loss_grad: 0.0000, loss: 0.1877, grad_norm: 0.0797 2024-01-03 17:58:00,855 - mmseg - INFO - Iter [15700/38400] lr: 3.206e-03, eta: 0:20:56, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1885, decode.loss_grad: 0.0000, loss: 0.1885, grad_norm: 0.0803 2024-01-03 17:58:03,411 - mmseg - INFO - Iter [15750/38400] lr: 3.196e-03, eta: 0:20:53, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1884, decode.loss_grad: 0.0000, loss: 0.1884, grad_norm: 0.0806 2024-01-03 17:58:05,935 - mmseg - INFO - Iter [15800/38400] lr: 3.187e-03, eta: 0:20:49, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.1945, decode.loss_grad: 0.0000, loss: 0.1945, grad_norm: 0.0808 2024-01-03 17:58:08,622 - mmseg - INFO - Iter [15850/38400] lr: 3.177e-03, eta: 0:20:47, time: 0.054, data_time: 0.002, memory: 749, decode.loss_depth: 0.1852, decode.loss_grad: 0.0000, loss: 0.1852, grad_norm: 0.0808 2024-01-03 17:58:11,208 - mmseg - INFO - Iter [15900/38400] lr: 3.167e-03, eta: 0:20:44, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1896, decode.loss_grad: 0.0000, loss: 0.1896, grad_norm: 0.0758 2024-01-03 17:58:13,790 - mmseg - INFO - Iter [15950/38400] lr: 3.157e-03, eta: 0:20:40, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1939, decode.loss_grad: 0.0000, loss: 0.1939, grad_norm: 0.0790 2024-01-03 17:58:16,342 - mmseg - INFO - Saving checkpoint at 16000 iterations 2024-01-03 17:58:16,360 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:58:16,360 - mmseg - INFO - Iter [16000/38400] lr: 3.147e-03, eta: 0:20:37, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1906, decode.loss_grad: 0.0000, loss: 0.1906, grad_norm: 0.0776 2024-01-03 17:58:20,947 - mmseg - INFO - Summary: 2024-01-03 17:58:20,948 - mmseg - INFO - +--------+--------+--------+---------+-------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+-------+--------+----------+---------+--------+ | 0.6232 | 0.8855 | 0.9659 | 0.2563 | 0.743 | 0.0943 | 0.2628 | 19.1103 | 0.267 | +--------+--------+--------+---------+-------+--------+----------+---------+--------+ 2024-01-03 17:58:20,948 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:58:20,948 - mmseg - INFO - Iter(val) [82] a1: 0.6232, a2: 0.8855, a3: 0.9659, abs_rel: 0.2563056945800781, rmse: 0.743015468120575, log_10: 0.09425374120473862, rmse_log: 0.2628321647644043, silog: 19.1103, sq_rel: 0.2670144736766815 2024-01-03 17:58:23,502 - mmseg - INFO - Iter [16050/38400] lr: 3.137e-03, eta: 0:20:41, time: 0.143, data_time: 0.094, memory: 749, decode.loss_depth: 0.1884, decode.loss_grad: 0.0000, loss: 0.1884, grad_norm: 0.0794 2024-01-03 17:58:26,083 - mmseg - INFO - Iter [16100/38400] lr: 3.127e-03, eta: 0:20:38, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1880, decode.loss_grad: 0.0000, loss: 0.1880, grad_norm: 0.0765 2024-01-03 17:58:28,768 - mmseg - INFO - Iter [16150/38400] lr: 3.118e-03, eta: 0:20:35, time: 0.054, data_time: 0.002, memory: 749, decode.loss_depth: 0.1904, decode.loss_grad: 0.0000, loss: 0.1904, grad_norm: 0.0829 2024-01-03 17:58:31,335 - mmseg - INFO - Iter [16200/38400] lr: 3.108e-03, eta: 0:20:32, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1856, decode.loss_grad: 0.0000, loss: 0.1856, grad_norm: 0.0797 2024-01-03 17:58:33,919 - mmseg - INFO - Iter [16250/38400] lr: 3.098e-03, eta: 0:20:29, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1960, decode.loss_grad: 0.0000, loss: 0.1960, grad_norm: 0.0813 2024-01-03 17:58:36,493 - mmseg - INFO - Iter [16300/38400] lr: 3.088e-03, eta: 0:20:26, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1884, decode.loss_grad: 0.0000, loss: 0.1884, grad_norm: 0.0805 2024-01-03 17:58:39,059 - mmseg - INFO - Iter [16350/38400] lr: 3.078e-03, eta: 0:20:23, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1891, decode.loss_grad: 0.0000, loss: 0.1891, grad_norm: 0.0800 2024-01-03 17:58:41,651 - mmseg - INFO - Iter [16400/38400] lr: 3.068e-03, eta: 0:20:20, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1900, decode.loss_grad: 0.0000, loss: 0.1900, grad_norm: 0.0780 2024-01-03 17:58:44,196 - mmseg - INFO - Iter [16450/38400] lr: 3.058e-03, eta: 0:20:17, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1852, decode.loss_grad: 0.0000, loss: 0.1852, grad_norm: 0.0794 2024-01-03 17:58:46,755 - mmseg - INFO - Iter [16500/38400] lr: 3.048e-03, eta: 0:20:13, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1940, decode.loss_grad: 0.0000, loss: 0.1940, grad_norm: 0.0798 2024-01-03 17:58:49,506 - mmseg - INFO - Iter [16550/38400] lr: 3.038e-03, eta: 0:20:11, time: 0.055, data_time: 0.002, memory: 749, decode.loss_depth: 0.1845, decode.loss_grad: 0.0000, loss: 0.1845, grad_norm: 0.0766 2024-01-03 17:58:52,060 - mmseg - INFO - Iter [16600/38400] lr: 3.028e-03, eta: 0:20:08, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1883, decode.loss_grad: 0.0000, loss: 0.1883, grad_norm: 0.0772 2024-01-03 17:58:54,627 - mmseg - INFO - Iter [16650/38400] lr: 3.018e-03, eta: 0:20:05, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1851, decode.loss_grad: 0.0000, loss: 0.1851, grad_norm: 0.0754 2024-01-03 17:58:59,277 - mmseg - INFO - Iter [16700/38400] lr: 3.008e-03, eta: 0:20:04, time: 0.093, data_time: 0.043, memory: 749, decode.loss_depth: 0.1886, decode.loss_grad: 0.0000, loss: 0.1886, grad_norm: 0.0764 2024-01-03 17:59:01,875 - mmseg - INFO - Iter [16750/38400] lr: 2.998e-03, eta: 0:20:01, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1848, decode.loss_grad: 0.0000, loss: 0.1848, grad_norm: 0.0784 2024-01-03 17:59:04,427 - mmseg - INFO - Iter [16800/38400] lr: 2.988e-03, eta: 0:19:58, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1886, decode.loss_grad: 0.0000, loss: 0.1886, grad_norm: 0.0781 2024-01-03 17:59:06,996 - mmseg - INFO - Iter [16850/38400] lr: 2.978e-03, eta: 0:19:55, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1870, decode.loss_grad: 0.0000, loss: 0.1870, grad_norm: 0.0761 2024-01-03 17:59:09,574 - mmseg - INFO - Iter [16900/38400] lr: 2.968e-03, eta: 0:19:52, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1891, decode.loss_grad: 0.0000, loss: 0.1891, grad_norm: 0.0792 2024-01-03 17:59:12,253 - mmseg - INFO - Iter [16950/38400] lr: 2.958e-03, eta: 0:19:49, time: 0.054, data_time: 0.002, memory: 749, decode.loss_depth: 0.1872, decode.loss_grad: 0.0000, loss: 0.1872, grad_norm: 0.0777 2024-01-03 17:59:14,825 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:59:14,825 - mmseg - INFO - Iter [17000/38400] lr: 2.948e-03, eta: 0:19:46, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1878, decode.loss_grad: 0.0000, loss: 0.1878, grad_norm: 0.0786 2024-01-03 17:59:17,376 - mmseg - INFO - Iter [17050/38400] lr: 2.938e-03, eta: 0:19:43, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1929, decode.loss_grad: 0.0000, loss: 0.1929, grad_norm: 0.0823 2024-01-03 17:59:19,941 - mmseg - INFO - Iter [17100/38400] lr: 2.928e-03, eta: 0:19:40, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1806, decode.loss_grad: 0.0000, loss: 0.1806, grad_norm: 0.0765 2024-01-03 17:59:22,693 - mmseg - INFO - Iter [17150/38400] lr: 2.918e-03, eta: 0:19:37, time: 0.055, data_time: 0.002, memory: 749, decode.loss_depth: 0.1879, decode.loss_grad: 0.0000, loss: 0.1879, grad_norm: 0.0769 2024-01-03 17:59:25,281 - mmseg - INFO - Iter [17200/38400] lr: 2.907e-03, eta: 0:19:34, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1820, decode.loss_grad: 0.0000, loss: 0.1820, grad_norm: 0.0756 2024-01-03 17:59:27,850 - mmseg - INFO - Iter [17250/38400] lr: 2.897e-03, eta: 0:19:31, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1878, decode.loss_grad: 0.0000, loss: 0.1878, grad_norm: 0.0786 2024-01-03 17:59:30,417 - mmseg - INFO - Iter [17300/38400] lr: 2.887e-03, eta: 0:19:28, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1822, decode.loss_grad: 0.0000, loss: 0.1822, grad_norm: 0.0719 2024-01-03 17:59:33,213 - mmseg - INFO - Iter [17350/38400] lr: 2.877e-03, eta: 0:19:26, time: 0.056, data_time: 0.002, memory: 749, decode.loss_depth: 0.1871, decode.loss_grad: 0.0000, loss: 0.1871, grad_norm: 0.0811 2024-01-03 17:59:35,794 - mmseg - INFO - Iter [17400/38400] lr: 2.867e-03, eta: 0:19:23, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1852, decode.loss_grad: 0.0000, loss: 0.1852, grad_norm: 0.0761 2024-01-03 17:59:38,368 - mmseg - INFO - Iter [17450/38400] lr: 2.857e-03, eta: 0:19:20, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1862, decode.loss_grad: 0.0000, loss: 0.1862, grad_norm: 0.0763 2024-01-03 17:59:40,931 - mmseg - INFO - Iter [17500/38400] lr: 2.847e-03, eta: 0:19:17, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1834, decode.loss_grad: 0.0000, loss: 0.1834, grad_norm: 0.0763 2024-01-03 17:59:43,512 - mmseg - INFO - Iter [17550/38400] lr: 2.837e-03, eta: 0:19:14, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1872, decode.loss_grad: 0.0000, loss: 0.1872, grad_norm: 0.0749 2024-01-03 17:59:46,065 - mmseg - INFO - Saving checkpoint at 17600 iterations 2024-01-03 17:59:46,079 - mmseg - INFO - Iter [17600/38400] lr: 2.827e-03, eta: 0:19:11, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1896, decode.loss_grad: 0.0000, loss: 0.1896, grad_norm: 0.0739 2024-01-03 17:59:48,667 - mmseg - INFO - Iter [17650/38400] lr: 2.816e-03, eta: 0:19:08, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1853, decode.loss_grad: 0.0000, loss: 0.1853, grad_norm: 0.0768 2024-01-03 17:59:51,188 - mmseg - INFO - Iter [17700/38400] lr: 2.806e-03, eta: 0:19:05, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.1871, decode.loss_grad: 0.0000, loss: 0.1871, grad_norm: 0.0785 2024-01-03 17:59:53,753 - mmseg - INFO - Iter [17750/38400] lr: 2.796e-03, eta: 0:19:02, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1889, decode.loss_grad: 0.0000, loss: 0.1889, grad_norm: 0.0769 2024-01-03 17:59:56,342 - mmseg - INFO - Iter [17800/38400] lr: 2.786e-03, eta: 0:18:59, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1841, decode.loss_grad: 0.0000, loss: 0.1841, grad_norm: 0.0747 2024-01-03 17:59:58,897 - mmseg - INFO - Iter [17850/38400] lr: 2.776e-03, eta: 0:18:56, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1855, decode.loss_grad: 0.0000, loss: 0.1855, grad_norm: 0.0773 2024-01-03 18:00:01,466 - mmseg - INFO - Iter [17900/38400] lr: 2.766e-03, eta: 0:18:53, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1836, decode.loss_grad: 0.0000, loss: 0.1836, grad_norm: 0.0754 2024-01-03 18:00:04,018 - mmseg - INFO - Iter [17950/38400] lr: 2.755e-03, eta: 0:18:50, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1928, decode.loss_grad: 0.0000, loss: 0.1928, grad_norm: 0.0798 2024-01-03 18:00:06,598 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 18:00:06,599 - mmseg - INFO - Iter [18000/38400] lr: 2.745e-03, eta: 0:18:47, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1858, decode.loss_grad: 0.0000, loss: 0.1858, grad_norm: 0.0769 2024-01-03 18:00:09,169 - mmseg - INFO - Iter [18050/38400] lr: 2.735e-03, eta: 0:18:44, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1869, decode.loss_grad: 0.0000, loss: 0.1869, grad_norm: 0.0811 2024-01-03 18:00:11,715 - mmseg - INFO - Iter [18100/38400] lr: 2.725e-03, eta: 0:18:41, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1817, decode.loss_grad: 0.0000, loss: 0.1817, grad_norm: 0.0718 2024-01-03 18:00:14,279 - mmseg - INFO - Iter [18150/38400] lr: 2.715e-03, eta: 0:18:38, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1867, decode.loss_grad: 0.0000, loss: 0.1867, grad_norm: 0.0785 2024-01-03 18:00:19,116 - mmseg - INFO - Iter [18200/38400] lr: 2.705e-03, eta: 0:18:37, time: 0.097, data_time: 0.044, memory: 749, decode.loss_depth: 0.1893, decode.loss_grad: 0.0000, loss: 0.1893, grad_norm: 0.0754 2024-01-03 18:00:21,692 - mmseg - INFO - Iter [18250/38400] lr: 2.694e-03, eta: 0:18:34, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1854, decode.loss_grad: 0.0000, loss: 0.1854, grad_norm: 0.0766 2024-01-03 18:00:24,284 - mmseg - INFO - Iter [18300/38400] lr: 2.684e-03, eta: 0:18:31, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1874, decode.loss_grad: 0.0000, loss: 0.1874, grad_norm: 0.0713 2024-01-03 18:00:27,106 - mmseg - INFO - Iter [18350/38400] lr: 2.674e-03, eta: 0:18:29, time: 0.056, data_time: 0.002, memory: 749, decode.loss_depth: 0.1824, decode.loss_grad: 0.0000, loss: 0.1824, grad_norm: 0.0715 2024-01-03 18:00:29,702 - mmseg - INFO - Iter [18400/38400] lr: 2.664e-03, eta: 0:18:26, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1823, decode.loss_grad: 0.0000, loss: 0.1823, grad_norm: 0.0726 2024-01-03 18:00:32,255 - mmseg - INFO - Iter [18450/38400] lr: 2.654e-03, eta: 0:18:23, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1813, decode.loss_grad: 0.0000, loss: 0.1813, grad_norm: 0.0777 2024-01-03 18:00:34,831 - mmseg - INFO - Iter [18500/38400] lr: 2.643e-03, eta: 0:18:20, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1869, decode.loss_grad: 0.0000, loss: 0.1869, grad_norm: 0.0806 2024-01-03 18:00:37,526 - mmseg - INFO - Iter [18550/38400] lr: 2.633e-03, eta: 0:18:17, time: 0.054, data_time: 0.002, memory: 749, decode.loss_depth: 0.1822, decode.loss_grad: 0.0000, loss: 0.1822, grad_norm: 0.0769 2024-01-03 18:00:40,119 - mmseg - INFO - Iter [18600/38400] lr: 2.623e-03, eta: 0:18:14, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1815, decode.loss_grad: 0.0000, loss: 0.1815, grad_norm: 0.0769 2024-01-03 18:00:42,708 - mmseg - INFO - Iter [18650/38400] lr: 2.613e-03, eta: 0:18:11, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1880, decode.loss_grad: 0.0000, loss: 0.1880, grad_norm: 0.0796 2024-01-03 18:00:45,274 - mmseg - INFO - Iter [18700/38400] lr: 2.602e-03, eta: 0:18:08, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1857, decode.loss_grad: 0.0000, loss: 0.1857, grad_norm: 0.0777 2024-01-03 18:00:47,831 - mmseg - INFO - Iter [18750/38400] lr: 2.592e-03, eta: 0:18:05, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1834, decode.loss_grad: 0.0000, loss: 0.1834, grad_norm: 0.0720 2024-01-03 18:00:50,418 - mmseg - INFO - Iter [18800/38400] lr: 2.582e-03, eta: 0:18:02, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1844, decode.loss_grad: 0.0000, loss: 0.1844, grad_norm: 0.0752 2024-01-03 18:00:52,975 - mmseg - INFO - Iter [18850/38400] lr: 2.572e-03, eta: 0:17:59, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1847, decode.loss_grad: 0.0000, loss: 0.1847, grad_norm: 0.0751 2024-01-03 18:00:55,523 - mmseg - INFO - Iter [18900/38400] lr: 2.562e-03, eta: 0:17:56, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1869, decode.loss_grad: 0.0000, loss: 0.1869, grad_norm: 0.0775 2024-01-03 18:00:58,220 - mmseg - INFO - Iter [18950/38400] lr: 2.551e-03, eta: 0:17:53, time: 0.054, data_time: 0.002, memory: 749, decode.loss_depth: 0.1881, decode.loss_grad: 0.0000, loss: 0.1881, grad_norm: 0.0775 2024-01-03 18:01:00,808 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 18:01:00,809 - mmseg - INFO - Iter [19000/38400] lr: 2.541e-03, eta: 0:17:50, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1870, decode.loss_grad: 0.0000, loss: 0.1870, grad_norm: 0.0761 2024-01-03 18:01:03,388 - mmseg - INFO - Iter [19050/38400] lr: 2.531e-03, eta: 0:17:47, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1812, decode.loss_grad: 0.0000, loss: 0.1812, grad_norm: 0.0765 2024-01-03 18:01:05,970 - mmseg - INFO - Iter [19100/38400] lr: 2.521e-03, eta: 0:17:44, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1835, decode.loss_grad: 0.0000, loss: 0.1835, grad_norm: 0.0764 2024-01-03 18:01:08,547 - mmseg - INFO - Iter [19150/38400] lr: 2.510e-03, eta: 0:17:41, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1838, decode.loss_grad: 0.0000, loss: 0.1838, grad_norm: 0.0751 2024-01-03 18:01:11,221 - mmseg - INFO - Saving checkpoint at 19200 iterations 2024-01-03 18:01:11,236 - mmseg - INFO - Iter [19200/38400] lr: 2.500e-03, eta: 0:17:39, time: 0.054, data_time: 0.002, memory: 749, decode.loss_depth: 0.1808, decode.loss_grad: 0.0000, loss: 0.1808, grad_norm: 0.0710 2024-01-03 18:01:15,827 - mmseg - INFO - Summary: 2024-01-03 18:01:15,828 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.6313 | 0.8879 | 0.9675 | 0.2513 | 0.7208 | 0.0928 | 0.2588 | 18.7065 | 0.2528 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 18:01:15,828 - mmseg - INFO - Iter(val) [82] a1: 0.6313, a2: 0.8879, a3: 0.9675, abs_rel: 0.2513084411621094, rmse: 0.7207744121551514, log_10: 0.09282763302326202, rmse_log: 0.2588231861591339, silog: 18.7065, sq_rel: 0.2527993619441986 2024-01-03 18:01:18,367 - mmseg - INFO - Iter [19250/38400] lr: 2.490e-03, eta: 0:17:40, time: 0.143, data_time: 0.094, memory: 749, decode.loss_depth: 0.1799, decode.loss_grad: 0.0000, loss: 0.1799, grad_norm: 0.0747 2024-01-03 18:01:20,990 - mmseg - INFO - Iter [19300/38400] lr: 2.480e-03, eta: 0:17:37, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1866, decode.loss_grad: 0.0000, loss: 0.1866, grad_norm: 0.0799 2024-01-03 18:01:23,575 - mmseg - INFO - Iter [19350/38400] lr: 2.470e-03, eta: 0:17:34, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1858, decode.loss_grad: 0.0000, loss: 0.1858, grad_norm: 0.0754 2024-01-03 18:01:26,116 - mmseg - INFO - Iter [19400/38400] lr: 2.459e-03, eta: 0:17:31, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1798, decode.loss_grad: 0.0000, loss: 0.1798, grad_norm: 0.0717 2024-01-03 18:01:28,696 - mmseg - INFO - Iter [19450/38400] lr: 2.449e-03, eta: 0:17:28, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1856, decode.loss_grad: 0.0000, loss: 0.1856, grad_norm: 0.0759 2024-01-03 18:01:31,264 - mmseg - INFO - Iter [19500/38400] lr: 2.439e-03, eta: 0:17:25, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1803, decode.loss_grad: 0.0000, loss: 0.1803, grad_norm: 0.0744 2024-01-03 18:01:33,823 - mmseg - INFO - Iter [19550/38400] lr: 2.429e-03, eta: 0:17:22, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1863, decode.loss_grad: 0.0000, loss: 0.1863, grad_norm: 0.0766 2024-01-03 18:01:36,365 - mmseg - INFO - Iter [19600/38400] lr: 2.418e-03, eta: 0:17:19, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1821, decode.loss_grad: 0.0000, loss: 0.1821, grad_norm: 0.0769 2024-01-03 18:01:38,927 - mmseg - INFO - Iter [19650/38400] lr: 2.408e-03, eta: 0:17:17, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1804, decode.loss_grad: 0.0000, loss: 0.1804, grad_norm: 0.0765 2024-01-03 18:01:43,621 - mmseg - INFO - Iter [19700/38400] lr: 2.398e-03, eta: 0:17:16, time: 0.094, data_time: 0.044, memory: 749, decode.loss_depth: 0.1806, decode.loss_grad: 0.0000, loss: 0.1806, grad_norm: 0.0727 2024-01-03 18:01:46,213 - mmseg - INFO - Iter [19750/38400] lr: 2.388e-03, eta: 0:17:13, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1849, decode.loss_grad: 0.0000, loss: 0.1849, grad_norm: 0.0781 2024-01-03 18:01:48,775 - mmseg - INFO - Iter [19800/38400] lr: 2.378e-03, eta: 0:17:10, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1840, decode.loss_grad: 0.0000, loss: 0.1840, grad_norm: 0.0724 2024-01-03 18:01:51,516 - mmseg - INFO - Iter [19850/38400] lr: 2.367e-03, eta: 0:17:07, time: 0.055, data_time: 0.002, memory: 749, decode.loss_depth: 0.1838, decode.loss_grad: 0.0000, loss: 0.1838, grad_norm: 0.0750 2024-01-03 18:01:54,109 - mmseg - INFO - Iter [19900/38400] lr: 2.357e-03, eta: 0:17:04, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1894, decode.loss_grad: 0.0000, loss: 0.1894, grad_norm: 0.0751 2024-01-03 18:01:56,690 - mmseg - INFO - Iter [19950/38400] lr: 2.347e-03, eta: 0:17:01, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1801, decode.loss_grad: 0.0000, loss: 0.1801, grad_norm: 0.0720 2024-01-03 18:01:59,282 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 18:01:59,282 - mmseg - INFO - Iter [20000/38400] lr: 2.337e-03, eta: 0:16:58, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1819, decode.loss_grad: 0.0000, loss: 0.1819, grad_norm: 0.0737 2024-01-03 18:02:01,992 - mmseg - INFO - Iter [20050/38400] lr: 2.326e-03, eta: 0:16:55, time: 0.054, data_time: 0.002, memory: 749, decode.loss_depth: 0.1798, decode.loss_grad: 0.0000, loss: 0.1798, grad_norm: 0.0762 2024-01-03 18:02:04,569 - mmseg - INFO - Iter [20100/38400] lr: 2.316e-03, eta: 0:16:52, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1792, decode.loss_grad: 0.0000, loss: 0.1792, grad_norm: 0.0713 2024-01-03 18:02:07,151 - mmseg - INFO - Iter [20150/38400] lr: 2.306e-03, eta: 0:16:49, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1858, decode.loss_grad: 0.0000, loss: 0.1858, grad_norm: 0.0762 2024-01-03 18:02:09,722 - mmseg - INFO - Iter [20200/38400] lr: 2.296e-03, eta: 0:16:46, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1814, decode.loss_grad: 0.0000, loss: 0.1814, grad_norm: 0.0787 2024-01-03 18:02:12,290 - mmseg - INFO - Iter [20250/38400] lr: 2.286e-03, eta: 0:16:44, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1776, decode.loss_grad: 0.0000, loss: 0.1776, grad_norm: 0.0757 2024-01-03 18:02:14,963 - mmseg - INFO - Iter [20300/38400] lr: 2.276e-03, eta: 0:16:41, time: 0.053, data_time: 0.002, memory: 749, decode.loss_depth: 0.1832, decode.loss_grad: 0.0000, loss: 0.1832, grad_norm: 0.0787 2024-01-03 18:02:17,517 - mmseg - INFO - Iter [20350/38400] lr: 2.265e-03, eta: 0:16:38, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1809, decode.loss_grad: 0.0000, loss: 0.1809, grad_norm: 0.0750 2024-01-03 18:02:20,112 - mmseg - INFO - Iter [20400/38400] lr: 2.255e-03, eta: 0:16:35, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1841, decode.loss_grad: 0.0000, loss: 0.1841, grad_norm: 0.0718 2024-01-03 18:02:22,684 - mmseg - INFO - Iter [20450/38400] lr: 2.245e-03, eta: 0:16:32, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1903, decode.loss_grad: 0.0000, loss: 0.1903, grad_norm: 0.0789 2024-01-03 18:02:25,371 - mmseg - INFO - Iter [20500/38400] lr: 2.235e-03, eta: 0:16:29, time: 0.054, data_time: 0.002, memory: 749, decode.loss_depth: 0.1848, decode.loss_grad: 0.0000, loss: 0.1848, grad_norm: 0.0790 2024-01-03 18:02:27,948 - mmseg - INFO - Iter [20550/38400] lr: 2.225e-03, eta: 0:16:26, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1828, decode.loss_grad: 0.0000, loss: 0.1828, grad_norm: 0.0763 2024-01-03 18:02:30,533 - mmseg - INFO - Iter [20600/38400] lr: 2.214e-03, eta: 0:16:23, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1831, decode.loss_grad: 0.0000, loss: 0.1831, grad_norm: 0.0749 2024-01-03 18:02:33,107 - mmseg - INFO - Iter [20650/38400] lr: 2.204e-03, eta: 0:16:20, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1784, decode.loss_grad: 0.0000, loss: 0.1784, grad_norm: 0.0738 2024-01-03 18:02:35,721 - mmseg - INFO - Iter [20700/38400] lr: 2.194e-03, eta: 0:16:17, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1806, decode.loss_grad: 0.0000, loss: 0.1806, grad_norm: 0.0718 2024-01-03 18:02:38,284 - mmseg - INFO - Iter [20750/38400] lr: 2.184e-03, eta: 0:16:14, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1793, decode.loss_grad: 0.0000, loss: 0.1793, grad_norm: 0.0729 2024-01-03 18:02:40,861 - mmseg - INFO - Saving checkpoint at 20800 iterations 2024-01-03 18:02:40,873 - mmseg - INFO - Iter [20800/38400] lr: 2.174e-03, eta: 0:16:12, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1863, decode.loss_grad: 0.0000, loss: 0.1863, grad_norm: 0.0753 2024-01-03 18:02:43,453 - mmseg - INFO - Iter [20850/38400] lr: 2.164e-03, eta: 0:16:09, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1846, decode.loss_grad: 0.0000, loss: 0.1846, grad_norm: 0.0764 2024-01-03 18:02:46,276 - mmseg - INFO - Iter [20900/38400] lr: 2.154e-03, eta: 0:16:06, time: 0.056, data_time: 0.002, memory: 749, decode.loss_depth: 0.1775, decode.loss_grad: 0.0000, loss: 0.1775, grad_norm: 0.0711 2024-01-03 18:02:48,835 - mmseg - INFO - Iter [20950/38400] lr: 2.143e-03, eta: 0:16:03, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1821, decode.loss_grad: 0.0000, loss: 0.1821, grad_norm: 0.0748 2024-01-03 18:02:51,408 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 18:02:51,408 - mmseg - INFO - Iter [21000/38400] lr: 2.133e-03, eta: 0:16:00, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1803, decode.loss_grad: 0.0000, loss: 0.1803, grad_norm: 0.0737 2024-01-03 18:02:53,965 - mmseg - INFO - Iter [21050/38400] lr: 2.123e-03, eta: 0:15:57, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1828, decode.loss_grad: 0.0000, loss: 0.1828, grad_norm: 0.0758 2024-01-03 18:02:56,652 - mmseg - INFO - Iter [21100/38400] lr: 2.113e-03, eta: 0:15:54, time: 0.054, data_time: 0.002, memory: 749, decode.loss_depth: 0.1873, decode.loss_grad: 0.0000, loss: 0.1873, grad_norm: 0.0772 2024-01-03 18:02:59,234 - mmseg - INFO - Iter [21150/38400] lr: 2.103e-03, eta: 0:15:51, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1806, decode.loss_grad: 0.0000, loss: 0.1806, grad_norm: 0.0758 2024-01-03 18:03:03,873 - mmseg - INFO - Iter [21200/38400] lr: 2.093e-03, eta: 0:15:50, time: 0.093, data_time: 0.043, memory: 749, decode.loss_depth: 0.1770, decode.loss_grad: 0.0000, loss: 0.1770, grad_norm: 0.0755 2024-01-03 18:03:06,478 - mmseg - INFO - Iter [21250/38400] lr: 2.083e-03, eta: 0:15:47, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1795, decode.loss_grad: 0.0000, loss: 0.1795, grad_norm: 0.0755 2024-01-03 18:03:09,123 - mmseg - INFO - Iter [21300/38400] lr: 2.073e-03, eta: 0:15:44, time: 0.053, data_time: 0.002, memory: 749, decode.loss_depth: 0.1839, decode.loss_grad: 0.0000, loss: 0.1839, grad_norm: 0.0704 2024-01-03 18:03:11,683 - mmseg - INFO - Iter [21350/38400] lr: 2.063e-03, eta: 0:15:41, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1813, decode.loss_grad: 0.0000, loss: 0.1813, grad_norm: 0.0765 2024-01-03 18:03:14,278 - mmseg - INFO - Iter [21400/38400] lr: 2.053e-03, eta: 0:15:39, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1778, decode.loss_grad: 0.0000, loss: 0.1778, grad_norm: 0.0732 2024-01-03 18:03:16,835 - mmseg - INFO - Iter [21450/38400] lr: 2.043e-03, eta: 0:15:36, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1844, decode.loss_grad: 0.0000, loss: 0.1844, grad_norm: 0.0777 2024-01-03 18:03:19,572 - mmseg - INFO - Iter [21500/38400] lr: 2.033e-03, eta: 0:15:33, time: 0.055, data_time: 0.002, memory: 749, decode.loss_depth: 0.1786, decode.loss_grad: 0.0000, loss: 0.1786, grad_norm: 0.0751 2024-01-03 18:03:22,145 - mmseg - INFO - Iter [21550/38400] lr: 2.023e-03, eta: 0:15:30, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1789, decode.loss_grad: 0.0000, loss: 0.1789, grad_norm: 0.0713 2024-01-03 18:03:24,743 - mmseg - INFO - Iter [21600/38400] lr: 2.012e-03, eta: 0:15:27, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1775, decode.loss_grad: 0.0000, loss: 0.1775, grad_norm: 0.0730 2024-01-03 18:03:27,329 - mmseg - INFO - Iter [21650/38400] lr: 2.002e-03, eta: 0:15:24, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1831, decode.loss_grad: 0.0000, loss: 0.1831, grad_norm: 0.0757 2024-01-03 18:03:29,918 - mmseg - INFO - Iter [21700/38400] lr: 1.992e-03, eta: 0:15:21, time: 0.052, data_time: 0.003, memory: 749, decode.loss_depth: 0.1835, decode.loss_grad: 0.0000, loss: 0.1835, grad_norm: 0.0777 2024-01-03 18:03:32,476 - mmseg - INFO - Iter [21750/38400] lr: 1.982e-03, eta: 0:15:18, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1792, decode.loss_grad: 0.0000, loss: 0.1792, grad_norm: 0.0741 2024-01-03 18:03:35,054 - mmseg - INFO - Iter [21800/38400] lr: 1.972e-03, eta: 0:15:15, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1770, decode.loss_grad: 0.0000, loss: 0.1770, grad_norm: 0.0775 2024-01-03 18:03:37,647 - mmseg - INFO - Iter [21850/38400] lr: 1.962e-03, eta: 0:15:13, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1769, decode.loss_grad: 0.0000, loss: 0.1769, grad_norm: 0.0810 2024-01-03 18:03:40,175 - mmseg - INFO - Iter [21900/38400] lr: 1.952e-03, eta: 0:15:10, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1855, decode.loss_grad: 0.0000, loss: 0.1855, grad_norm: 0.0768 2024-01-03 18:03:42,750 - mmseg - INFO - Iter [21950/38400] lr: 1.942e-03, eta: 0:15:07, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1822, decode.loss_grad: 0.0000, loss: 0.1822, grad_norm: 0.0760 2024-01-03 18:03:45,367 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 18:03:45,368 - mmseg - INFO - Iter [22000/38400] lr: 1.933e-03, eta: 0:15:04, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1798, decode.loss_grad: 0.0000, loss: 0.1798, grad_norm: 0.0751 2024-01-03 18:03:47,927 - mmseg - INFO - Iter [22050/38400] lr: 1.923e-03, eta: 0:15:01, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1795, decode.loss_grad: 0.0000, loss: 0.1795, grad_norm: 0.0736 2024-01-03 18:03:50,573 - mmseg - INFO - Iter [22100/38400] lr: 1.913e-03, eta: 0:14:58, time: 0.053, data_time: 0.002, memory: 749, decode.loss_depth: 0.1856, decode.loss_grad: 0.0000, loss: 0.1856, grad_norm: 0.0791 2024-01-03 18:03:53,125 - mmseg - INFO - Iter [22150/38400] lr: 1.903e-03, eta: 0:14:55, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1779, decode.loss_grad: 0.0000, loss: 0.1779, grad_norm: 0.0706 2024-01-03 18:03:55,727 - mmseg - INFO - Iter [22200/38400] lr: 1.893e-03, eta: 0:14:52, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1829, decode.loss_grad: 0.0000, loss: 0.1829, grad_norm: 0.0731 2024-01-03 18:03:58,310 - mmseg - INFO - Iter [22250/38400] lr: 1.883e-03, eta: 0:14:50, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1797, decode.loss_grad: 0.0000, loss: 0.1797, grad_norm: 0.0733 2024-01-03 18:04:01,157 - mmseg - INFO - Iter [22300/38400] lr: 1.873e-03, eta: 0:14:47, time: 0.057, data_time: 0.002, memory: 749, decode.loss_depth: 0.1823, decode.loss_grad: 0.0000, loss: 0.1823, grad_norm: 0.0731 2024-01-03 18:04:03,732 - mmseg - INFO - Iter [22350/38400] lr: 1.863e-03, eta: 0:14:44, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1825, decode.loss_grad: 0.0000, loss: 0.1825, grad_norm: 0.0730 2024-01-03 18:04:06,325 - mmseg - INFO - Saving checkpoint at 22400 iterations 2024-01-03 18:04:06,339 - mmseg - INFO - Iter [22400/38400] lr: 1.853e-03, eta: 0:14:41, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1821, decode.loss_grad: 0.0000, loss: 0.1821, grad_norm: 0.0746 2024-01-03 18:04:10,941 - mmseg - INFO - Summary: 2024-01-03 18:04:10,942 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.6502 | 0.8983 | 0.9708 | 0.2377 | 0.6844 | 0.0891 | 0.2495 | 18.4983 | 0.2261 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 18:04:10,944 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/original/vit_base_patch16_224.mae/best_abs_rel_iter_6400.pth was removed 2024-01-03 18:04:10,956 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_22400.pth. 2024-01-03 18:04:10,956 - mmseg - INFO - Best abs_rel is 0.2377 at 22400 iter. 2024-01-03 18:04:10,956 - mmseg - INFO - Iter(val) [82] a1: 0.6502, a2: 0.8983, a3: 0.9708, abs_rel: 0.23770290613174438, rmse: 0.6844031810760498, log_10: 0.08908567577600479, rmse_log: 0.24945609271526337, silog: 18.4983, sq_rel: 0.2260749638080597 2024-01-03 18:04:13,569 - mmseg - INFO - Iter [22450/38400] lr: 1.843e-03, eta: 0:14:42, time: 0.145, data_time: 0.094, memory: 749, decode.loss_depth: 0.1795, decode.loss_grad: 0.0000, loss: 0.1795, grad_norm: 0.0746 2024-01-03 18:04:16,155 - mmseg - INFO - Iter [22500/38400] lr: 1.833e-03, eta: 0:14:39, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1824, decode.loss_grad: 0.0000, loss: 0.1824, grad_norm: 0.0737 2024-01-03 18:04:18,733 - mmseg - INFO - Iter [22550/38400] lr: 1.824e-03, eta: 0:14:36, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1812, decode.loss_grad: 0.0000, loss: 0.1812, grad_norm: 0.0735 2024-01-03 18:04:21,652 - mmseg - INFO - Iter [22600/38400] lr: 1.814e-03, eta: 0:14:33, time: 0.058, data_time: 0.002, memory: 749, decode.loss_depth: 0.1783, decode.loss_grad: 0.0000, loss: 0.1783, grad_norm: 0.0743 2024-01-03 18:04:24,200 - mmseg - INFO - Iter [22650/38400] lr: 1.804e-03, eta: 0:14:30, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1804, decode.loss_grad: 0.0000, loss: 0.1804, grad_norm: 0.0756 2024-01-03 18:04:26,770 - mmseg - INFO - Iter [22700/38400] lr: 1.794e-03, eta: 0:14:27, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1791, decode.loss_grad: 0.0000, loss: 0.1791, grad_norm: 0.0746 2024-01-03 18:04:31,440 - mmseg - INFO - Iter [22750/38400] lr: 1.784e-03, eta: 0:14:26, time: 0.093, data_time: 0.043, memory: 749, decode.loss_depth: 0.1750, decode.loss_grad: 0.0000, loss: 0.1750, grad_norm: 0.0725 2024-01-03 18:04:34,246 - mmseg - INFO - Iter [22800/38400] lr: 1.774e-03, eta: 0:14:23, time: 0.056, data_time: 0.002, memory: 749, decode.loss_depth: 0.1819, decode.loss_grad: 0.0000, loss: 0.1819, grad_norm: 0.0757 2024-01-03 18:04:36,854 - mmseg - INFO - Iter [22850/38400] lr: 1.765e-03, eta: 0:14:20, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1784, decode.loss_grad: 0.0000, loss: 0.1784, grad_norm: 0.0713 2024-01-03 18:04:39,495 - mmseg - INFO - Iter [22900/38400] lr: 1.755e-03, eta: 0:14:17, time: 0.053, data_time: 0.002, memory: 749, decode.loss_depth: 0.1791, decode.loss_grad: 0.0000, loss: 0.1791, grad_norm: 0.0754 2024-01-03 18:04:42,076 - mmseg - INFO - Iter [22950/38400] lr: 1.745e-03, eta: 0:14:14, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1803, decode.loss_grad: 0.0000, loss: 0.1803, grad_norm: 0.0788 2024-01-03 18:04:44,741 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 18:04:44,741 - mmseg - INFO - Iter [23000/38400] lr: 1.735e-03, eta: 0:14:12, time: 0.053, data_time: 0.002, memory: 749, decode.loss_depth: 0.1805, decode.loss_grad: 0.0000, loss: 0.1805, grad_norm: 0.0742 2024-01-03 18:04:47,330 - mmseg - INFO - Iter [23050/38400] lr: 1.726e-03, eta: 0:14:09, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1836, decode.loss_grad: 0.0000, loss: 0.1836, grad_norm: 0.0748 2024-01-03 18:04:49,883 - mmseg - INFO - Iter [23100/38400] lr: 1.716e-03, eta: 0:14:06, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1820, decode.loss_grad: 0.0000, loss: 0.1820, grad_norm: 0.0748 2024-01-03 18:04:52,460 - mmseg - INFO - Iter [23150/38400] lr: 1.706e-03, eta: 0:14:03, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1788, decode.loss_grad: 0.0000, loss: 0.1788, grad_norm: 0.0741 2024-01-03 18:04:55,301 - mmseg - INFO - Iter [23200/38400] lr: 1.697e-03, eta: 0:14:00, time: 0.057, data_time: 0.002, memory: 749, decode.loss_depth: 0.1759, decode.loss_grad: 0.0000, loss: 0.1759, grad_norm: 0.0723 2024-01-03 18:04:57,855 - mmseg - INFO - Iter [23250/38400] lr: 1.687e-03, eta: 0:13:57, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1836, decode.loss_grad: 0.0000, loss: 0.1836, grad_norm: 0.0780 2024-01-03 18:05:00,437 - mmseg - INFO - Iter [23300/38400] lr: 1.677e-03, eta: 0:13:54, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1807, decode.loss_grad: 0.0000, loss: 0.1807, grad_norm: 0.0736 2024-01-03 18:05:03,037 - mmseg - INFO - Iter [23350/38400] lr: 1.668e-03, eta: 0:13:52, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1785, decode.loss_grad: 0.0000, loss: 0.1785, grad_norm: 0.0717 2024-01-03 18:05:05,586 - mmseg - INFO - Iter [23400/38400] lr: 1.658e-03, eta: 0:13:49, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1750, decode.loss_grad: 0.0000, loss: 0.1750, grad_norm: 0.0721 2024-01-03 18:05:08,180 - mmseg - INFO - Iter [23450/38400] lr: 1.648e-03, eta: 0:13:46, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1774, decode.loss_grad: 0.0000, loss: 0.1774, grad_norm: 0.0725 2024-01-03 18:05:10,747 - mmseg - INFO - Iter [23500/38400] lr: 1.639e-03, eta: 0:13:43, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1773, decode.loss_grad: 0.0000, loss: 0.1773, grad_norm: 0.0737 2024-01-03 18:05:13,285 - mmseg - INFO - Iter [23550/38400] lr: 1.629e-03, eta: 0:13:40, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1732, decode.loss_grad: 0.0000, loss: 0.1732, grad_norm: 0.0706 2024-01-03 18:05:15,998 - mmseg - INFO - Iter [23600/38400] lr: 1.620e-03, eta: 0:13:37, time: 0.054, data_time: 0.002, memory: 749, decode.loss_depth: 0.1742, decode.loss_grad: 0.0000, loss: 0.1742, grad_norm: 0.0748 2024-01-03 18:05:18,578 - mmseg - INFO - Iter [23650/38400] lr: 1.610e-03, eta: 0:13:34, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1774, decode.loss_grad: 0.0000, loss: 0.1774, grad_norm: 0.0737 2024-01-03 18:05:21,145 - mmseg - INFO - Iter [23700/38400] lr: 1.600e-03, eta: 0:13:31, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1810, decode.loss_grad: 0.0000, loss: 0.1810, grad_norm: 0.0724 2024-01-03 18:05:23,712 - mmseg - INFO - Iter [23750/38400] lr: 1.591e-03, eta: 0:13:29, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1808, decode.loss_grad: 0.0000, loss: 0.1808, grad_norm: 0.0734 2024-01-03 18:05:26,467 - mmseg - INFO - Iter [23800/38400] lr: 1.581e-03, eta: 0:13:26, time: 0.055, data_time: 0.002, memory: 749, decode.loss_depth: 0.1770, decode.loss_grad: 0.0000, loss: 0.1770, grad_norm: 0.0733 2024-01-03 18:05:29,011 - mmseg - INFO - Iter [23850/38400] lr: 1.572e-03, eta: 0:13:23, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1787, decode.loss_grad: 0.0000, loss: 0.1787, grad_norm: 0.0743 2024-01-03 18:05:31,619 - mmseg - INFO - Iter [23900/38400] lr: 1.562e-03, eta: 0:13:20, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1772, decode.loss_grad: 0.0000, loss: 0.1772, grad_norm: 0.0715 2024-01-03 18:05:34,213 - mmseg - INFO - Iter [23950/38400] lr: 1.553e-03, eta: 0:13:17, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1779, decode.loss_grad: 0.0000, loss: 0.1779, grad_norm: 0.0717 2024-01-03 18:05:36,951 - mmseg - INFO - Saving checkpoint at 24000 iterations 2024-01-03 18:05:36,964 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 18:05:36,964 - mmseg - INFO - Iter [24000/38400] lr: 1.543e-03, eta: 0:13:14, time: 0.055, data_time: 0.002, memory: 749, decode.loss_depth: 0.1827, decode.loss_grad: 0.0000, loss: 0.1827, grad_norm: 0.0749 2024-01-03 18:05:39,577 - mmseg - INFO - Iter [24050/38400] lr: 1.534e-03, eta: 0:13:12, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1762, decode.loss_grad: 0.0000, loss: 0.1762, grad_norm: 0.0710 2024-01-03 18:05:42,156 - mmseg - INFO - Iter [24100/38400] lr: 1.525e-03, eta: 0:13:09, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1795, decode.loss_grad: 0.0000, loss: 0.1795, grad_norm: 0.0750 2024-01-03 18:05:44,721 - mmseg - INFO - Iter [24150/38400] lr: 1.515e-03, eta: 0:13:06, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1789, decode.loss_grad: 0.0000, loss: 0.1789, grad_norm: 0.0745 2024-01-03 18:05:47,596 - mmseg - INFO - Iter [24200/38400] lr: 1.506e-03, eta: 0:13:03, time: 0.058, data_time: 0.002, memory: 749, decode.loss_depth: 0.1804, decode.loss_grad: 0.0000, loss: 0.1804, grad_norm: 0.0733 2024-01-03 18:05:52,247 - mmseg - INFO - Iter [24250/38400] lr: 1.496e-03, eta: 0:13:01, time: 0.093, data_time: 0.044, memory: 749, decode.loss_depth: 0.1766, decode.loss_grad: 0.0000, loss: 0.1766, grad_norm: 0.0725 2024-01-03 18:05:54,830 - mmseg - INFO - Iter [24300/38400] lr: 1.487e-03, eta: 0:12:59, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1780, decode.loss_grad: 0.0000, loss: 0.1780, grad_norm: 0.0736 2024-01-03 18:05:57,409 - mmseg - INFO - Iter [24350/38400] lr: 1.478e-03, eta: 0:12:56, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1775, decode.loss_grad: 0.0000, loss: 0.1775, grad_norm: 0.0731 2024-01-03 18:05:59,971 - mmseg - INFO - Iter [24400/38400] lr: 1.468e-03, eta: 0:12:53, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1772, decode.loss_grad: 0.0000, loss: 0.1772, grad_norm: 0.0753 2024-01-03 18:06:02,520 - mmseg - INFO - Iter [24450/38400] lr: 1.459e-03, eta: 0:12:50, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1798, decode.loss_grad: 0.0000, loss: 0.1798, grad_norm: 0.0714 2024-01-03 18:06:05,078 - mmseg - INFO - Iter [24500/38400] lr: 1.450e-03, eta: 0:12:47, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1779, decode.loss_grad: 0.0000, loss: 0.1779, grad_norm: 0.0730 2024-01-03 18:06:07,638 - mmseg - INFO - Iter [24550/38400] lr: 1.441e-03, eta: 0:12:44, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1808, decode.loss_grad: 0.0000, loss: 0.1808, grad_norm: 0.0715 2024-01-03 18:06:10,317 - mmseg - INFO - Iter [24600/38400] lr: 1.431e-03, eta: 0:12:41, time: 0.054, data_time: 0.002, memory: 749, decode.loss_depth: 0.1765, decode.loss_grad: 0.0000, loss: 0.1765, grad_norm: 0.0722 2024-01-03 18:06:12,922 - mmseg - INFO - Iter [24650/38400] lr: 1.422e-03, eta: 0:12:39, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1782, decode.loss_grad: 0.0000, loss: 0.1782, grad_norm: 0.0754 2024-01-03 18:06:15,467 - mmseg - INFO - Iter [24700/38400] lr: 1.413e-03, eta: 0:12:36, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1751, decode.loss_grad: 0.0000, loss: 0.1751, grad_norm: 0.0734 2024-01-03 18:06:18,048 - mmseg - INFO - Iter [24750/38400] lr: 1.404e-03, eta: 0:12:33, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1812, decode.loss_grad: 0.0000, loss: 0.1812, grad_norm: 0.0730 2024-01-03 18:06:20,882 - mmseg - INFO - Iter [24800/38400] lr: 1.394e-03, eta: 0:12:30, time: 0.057, data_time: 0.002, memory: 749, decode.loss_depth: 0.1770, decode.loss_grad: 0.0000, loss: 0.1770, grad_norm: 0.0725 2024-01-03 18:06:23,429 - mmseg - INFO - Iter [24850/38400] lr: 1.385e-03, eta: 0:12:27, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1849, decode.loss_grad: 0.0000, loss: 0.1849, grad_norm: 0.0741 2024-01-03 18:06:26,007 - mmseg - INFO - Iter [24900/38400] lr: 1.376e-03, eta: 0:12:24, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1755, decode.loss_grad: 0.0000, loss: 0.1755, grad_norm: 0.0726 2024-01-03 18:06:28,597 - mmseg - INFO - Iter [24950/38400] lr: 1.367e-03, eta: 0:12:22, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1784, decode.loss_grad: 0.0000, loss: 0.1784, grad_norm: 0.0719 2024-01-03 18:06:31,472 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 18:06:31,472 - mmseg - INFO - Iter [25000/38400] lr: 1.358e-03, eta: 0:12:19, time: 0.057, data_time: 0.002, memory: 749, decode.loss_depth: 0.1796, decode.loss_grad: 0.0000, loss: 0.1796, grad_norm: 0.0775 2024-01-03 18:06:34,020 - mmseg - INFO - Iter [25050/38400] lr: 1.349e-03, eta: 0:12:16, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1749, decode.loss_grad: 0.0000, loss: 0.1749, grad_norm: 0.0757 2024-01-03 18:06:36,587 - mmseg - INFO - Iter [25100/38400] lr: 1.340e-03, eta: 0:12:13, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1734, decode.loss_grad: 0.0000, loss: 0.1734, grad_norm: 0.0735 2024-01-03 18:06:39,157 - mmseg - INFO - Iter [25150/38400] lr: 1.331e-03, eta: 0:12:10, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1750, decode.loss_grad: 0.0000, loss: 0.1750, grad_norm: 0.0728 2024-01-03 18:06:41,784 - mmseg - INFO - Iter [25200/38400] lr: 1.322e-03, eta: 0:12:07, time: 0.053, data_time: 0.002, memory: 749, decode.loss_depth: 0.1785, decode.loss_grad: 0.0000, loss: 0.1785, grad_norm: 0.0733 2024-01-03 18:06:44,364 - mmseg - INFO - Iter [25250/38400] lr: 1.313e-03, eta: 0:12:05, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1779, decode.loss_grad: 0.0000, loss: 0.1779, grad_norm: 0.0760 2024-01-03 18:06:46,933 - mmseg - INFO - Iter [25300/38400] lr: 1.304e-03, eta: 0:12:02, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1715, decode.loss_grad: 0.0000, loss: 0.1715, grad_norm: 0.0709 2024-01-03 18:06:49,513 - mmseg - INFO - Iter [25350/38400] lr: 1.295e-03, eta: 0:11:59, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1710, decode.loss_grad: 0.0000, loss: 0.1710, grad_norm: 0.0746 2024-01-03 18:06:52,111 - mmseg - INFO - Iter [25400/38400] lr: 1.286e-03, eta: 0:11:56, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1778, decode.loss_grad: 0.0000, loss: 0.1778, grad_norm: 0.0708 2024-01-03 18:06:54,679 - mmseg - INFO - Iter [25450/38400] lr: 1.277e-03, eta: 0:11:53, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1800, decode.loss_grad: 0.0000, loss: 0.1800, grad_norm: 0.0718 2024-01-03 18:06:57,244 - mmseg - INFO - Iter [25500/38400] lr: 1.268e-03, eta: 0:11:50, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1765, decode.loss_grad: 0.0000, loss: 0.1765, grad_norm: 0.0772 2024-01-03 18:06:59,819 - mmseg - INFO - Iter [25550/38400] lr: 1.259e-03, eta: 0:11:47, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1775, decode.loss_grad: 0.0000, loss: 0.1775, grad_norm: 0.0751 2024-01-03 18:07:02,516 - mmseg - INFO - Saving checkpoint at 25600 iterations 2024-01-03 18:07:02,536 - mmseg - INFO - Iter [25600/38400] lr: 1.250e-03, eta: 0:11:45, time: 0.054, data_time: 0.002, memory: 749, decode.loss_depth: 0.1782, decode.loss_grad: 0.0000, loss: 0.1782, grad_norm: 0.0732 2024-01-03 18:07:07,129 - mmseg - INFO - Summary: 2024-01-03 18:07:07,129 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.6385 | 0.8931 | 0.9685 | 0.2458 | 0.6966 | 0.0911 | 0.2543 | 18.4973 | 0.2384 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 18:07:07,129 - mmseg - INFO - Iter(val) [82] a1: 0.6385, a2: 0.8931, a3: 0.9685, abs_rel: 0.24577830731868744, rmse: 0.6965787410736084, log_10: 0.09114745259284973, rmse_log: 0.25427478551864624, silog: 18.4973, sq_rel: 0.23839077353477478 2024-01-03 18:07:09,703 - mmseg - INFO - Iter [25650/38400] lr: 1.241e-03, eta: 0:11:44, time: 0.143, data_time: 0.094, memory: 749, decode.loss_depth: 0.1766, decode.loss_grad: 0.0000, loss: 0.1766, grad_norm: 0.0725 2024-01-03 18:07:12,281 - mmseg - INFO - Iter [25700/38400] lr: 1.233e-03, eta: 0:11:41, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1815, decode.loss_grad: 0.0000, loss: 0.1815, grad_norm: 0.0745 2024-01-03 18:07:16,962 - mmseg - INFO - Iter [25750/38400] lr: 1.224e-03, eta: 0:11:39, time: 0.094, data_time: 0.044, memory: 749, decode.loss_depth: 0.1752, decode.loss_grad: 0.0000, loss: 0.1752, grad_norm: 0.0714 2024-01-03 18:07:19,530 - mmseg - INFO - Iter [25800/38400] lr: 1.215e-03, eta: 0:11:37, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1762, decode.loss_grad: 0.0000, loss: 0.1762, grad_norm: 0.0720 2024-01-03 18:07:22,098 - mmseg - INFO - Iter [25850/38400] lr: 1.206e-03, eta: 0:11:34, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1742, decode.loss_grad: 0.0000, loss: 0.1742, grad_norm: 0.0722 2024-01-03 18:07:24,774 - mmseg - INFO - Iter [25900/38400] lr: 1.197e-03, eta: 0:11:31, time: 0.054, data_time: 0.002, memory: 749, decode.loss_depth: 0.1762, decode.loss_grad: 0.0000, loss: 0.1762, grad_norm: 0.0716 2024-01-03 18:07:27,327 - mmseg - INFO - Iter [25950/38400] lr: 1.189e-03, eta: 0:11:28, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1745, decode.loss_grad: 0.0000, loss: 0.1745, grad_norm: 0.0741 2024-01-03 18:07:29,897 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 18:07:29,897 - mmseg - INFO - Iter [26000/38400] lr: 1.180e-03, eta: 0:11:25, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1791, decode.loss_grad: 0.0000, loss: 0.1791, grad_norm: 0.0745 2024-01-03 18:07:32,477 - mmseg - INFO - Iter [26050/38400] lr: 1.171e-03, eta: 0:11:22, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1763, decode.loss_grad: 0.0000, loss: 0.1763, grad_norm: 0.0733 2024-01-03 18:07:35,094 - mmseg - INFO - Iter [26100/38400] lr: 1.163e-03, eta: 0:11:20, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1747, decode.loss_grad: 0.0000, loss: 0.1747, grad_norm: 0.0756 2024-01-03 18:07:37,678 - mmseg - INFO - Iter [26150/38400] lr: 1.154e-03, eta: 0:11:17, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1759, decode.loss_grad: 0.0000, loss: 0.1759, grad_norm: 0.0714 2024-01-03 18:07:40,255 - mmseg - INFO - Iter [26200/38400] lr: 1.145e-03, eta: 0:11:14, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1792, decode.loss_grad: 0.0000, loss: 0.1792, grad_norm: 0.0757 2024-01-03 18:07:42,823 - mmseg - INFO - Iter [26250/38400] lr: 1.137e-03, eta: 0:11:11, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1753, decode.loss_grad: 0.0000, loss: 0.1753, grad_norm: 0.0730 2024-01-03 18:07:45,555 - mmseg - INFO - Iter [26300/38400] lr: 1.128e-03, eta: 0:11:08, time: 0.055, data_time: 0.002, memory: 749, decode.loss_depth: 0.1753, decode.loss_grad: 0.0000, loss: 0.1753, grad_norm: 0.0692 2024-01-03 18:07:48,136 - mmseg - INFO - Iter [26350/38400] lr: 1.120e-03, eta: 0:11:05, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1734, decode.loss_grad: 0.0000, loss: 0.1734, grad_norm: 0.0735 2024-01-03 18:07:50,723 - mmseg - INFO - Iter [26400/38400] lr: 1.111e-03, eta: 0:11:02, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1778, decode.loss_grad: 0.0000, loss: 0.1778, grad_norm: 0.0762 2024-01-03 18:07:53,302 - mmseg - INFO - Iter [26450/38400] lr: 1.103e-03, eta: 0:11:00, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1792, decode.loss_grad: 0.0000, loss: 0.1792, grad_norm: 0.0700 2024-01-03 18:07:55,852 - mmseg - INFO - Iter [26500/38400] lr: 1.094e-03, eta: 0:10:57, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1780, decode.loss_grad: 0.0000, loss: 0.1780, grad_norm: 0.0760 2024-01-03 18:07:58,568 - mmseg - INFO - Iter [26550/38400] lr: 1.086e-03, eta: 0:10:54, time: 0.054, data_time: 0.002, memory: 749, decode.loss_depth: 0.1751, decode.loss_grad: 0.0000, loss: 0.1751, grad_norm: 0.0738 2024-01-03 18:08:01,157 - mmseg - INFO - Iter [26600/38400] lr: 1.077e-03, eta: 0:10:51, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1764, decode.loss_grad: 0.0000, loss: 0.1764, grad_norm: 0.0715 2024-01-03 18:08:03,738 - mmseg - INFO - Iter [26650/38400] lr: 1.069e-03, eta: 0:10:48, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1823, decode.loss_grad: 0.0000, loss: 0.1823, grad_norm: 0.0767 2024-01-03 18:08:06,324 - mmseg - INFO - Iter [26700/38400] lr: 1.061e-03, eta: 0:10:45, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1742, decode.loss_grad: 0.0000, loss: 0.1742, grad_norm: 0.0747 2024-01-03 18:08:08,946 - mmseg - INFO - Iter [26750/38400] lr: 1.052e-03, eta: 0:10:43, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1783, decode.loss_grad: 0.0000, loss: 0.1783, grad_norm: 0.0730 2024-01-03 18:08:11,537 - mmseg - INFO - Iter [26800/38400] lr: 1.044e-03, eta: 0:10:40, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1790, decode.loss_grad: 0.0000, loss: 0.1790, grad_norm: 0.0715 2024-01-03 18:08:14,112 - mmseg - INFO - Iter [26850/38400] lr: 1.036e-03, eta: 0:10:37, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1779, decode.loss_grad: 0.0000, loss: 0.1779, grad_norm: 0.0763 2024-01-03 18:08:16,675 - mmseg - INFO - Iter [26900/38400] lr: 1.027e-03, eta: 0:10:34, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1726, decode.loss_grad: 0.0000, loss: 0.1726, grad_norm: 0.0720 2024-01-03 18:08:19,471 - mmseg - INFO - Iter [26950/38400] lr: 1.019e-03, eta: 0:10:31, time: 0.056, data_time: 0.002, memory: 749, decode.loss_depth: 0.1811, decode.loss_grad: 0.0000, loss: 0.1811, grad_norm: 0.0770 2024-01-03 18:08:22,040 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 18:08:22,040 - mmseg - INFO - Iter [27000/38400] lr: 1.011e-03, eta: 0:10:29, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1805, decode.loss_grad: 0.0000, loss: 0.1805, grad_norm: 0.0773 2024-01-03 18:08:24,609 - mmseg - INFO - Iter [27050/38400] lr: 1.003e-03, eta: 0:10:26, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1763, decode.loss_grad: 0.0000, loss: 0.1763, grad_norm: 0.0725 2024-01-03 18:08:27,172 - mmseg - INFO - Iter [27100/38400] lr: 9.945e-04, eta: 0:10:23, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1776, decode.loss_grad: 0.0000, loss: 0.1776, grad_norm: 0.0740 2024-01-03 18:08:29,736 - mmseg - INFO - Iter [27150/38400] lr: 9.864e-04, eta: 0:10:20, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1783, decode.loss_grad: 0.0000, loss: 0.1783, grad_norm: 0.0703 2024-01-03 18:08:32,321 - mmseg - INFO - Saving checkpoint at 27200 iterations 2024-01-03 18:08:32,333 - mmseg - INFO - Iter [27200/38400] lr: 9.783e-04, eta: 0:10:17, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1746, decode.loss_grad: 0.0000, loss: 0.1746, grad_norm: 0.0720 2024-01-03 18:08:34,882 - mmseg - INFO - Iter [27250/38400] lr: 9.702e-04, eta: 0:10:14, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1726, decode.loss_grad: 0.0000, loss: 0.1726, grad_norm: 0.0724 2024-01-03 18:08:39,536 - mmseg - INFO - Iter [27300/38400] lr: 9.621e-04, eta: 0:10:12, time: 0.093, data_time: 0.044, memory: 749, decode.loss_depth: 0.1778, decode.loss_grad: 0.0000, loss: 0.1778, grad_norm: 0.0728 2024-01-03 18:08:42,118 - mmseg - INFO - Iter [27350/38400] lr: 9.540e-04, eta: 0:10:10, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1758, decode.loss_grad: 0.0000, loss: 0.1758, grad_norm: 0.0783 2024-01-03 18:08:44,648 - mmseg - INFO - Iter [27400/38400] lr: 9.460e-04, eta: 0:10:07, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1739, decode.loss_grad: 0.0000, loss: 0.1739, grad_norm: 0.0725 2024-01-03 18:08:47,214 - mmseg - INFO - Iter [27450/38400] lr: 9.380e-04, eta: 0:10:04, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1784, decode.loss_grad: 0.0000, loss: 0.1784, grad_norm: 0.0705 2024-01-03 18:08:49,942 - mmseg - INFO - Iter [27500/38400] lr: 9.300e-04, eta: 0:10:01, time: 0.055, data_time: 0.002, memory: 749, decode.loss_depth: 0.1746, decode.loss_grad: 0.0000, loss: 0.1746, grad_norm: 0.0715 2024-01-03 18:08:52,534 - mmseg - INFO - Iter [27550/38400] lr: 9.221e-04, eta: 0:09:58, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1758, decode.loss_grad: 0.0000, loss: 0.1758, grad_norm: 0.0714 2024-01-03 18:08:55,105 - mmseg - INFO - Iter [27600/38400] lr: 9.142e-04, eta: 0:09:55, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1780, decode.loss_grad: 0.0000, loss: 0.1780, grad_norm: 0.0733 2024-01-03 18:08:57,677 - mmseg - INFO - Iter [27650/38400] lr: 9.063e-04, eta: 0:09:53, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1712, decode.loss_grad: 0.0000, loss: 0.1712, grad_norm: 0.0695 2024-01-03 18:09:00,242 - mmseg - INFO - Iter [27700/38400] lr: 8.984e-04, eta: 0:09:50, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1719, decode.loss_grad: 0.0000, loss: 0.1719, grad_norm: 0.0736 2024-01-03 18:09:02,814 - mmseg - INFO - Iter [27750/38400] lr: 8.906e-04, eta: 0:09:47, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1739, decode.loss_grad: 0.0000, loss: 0.1739, grad_norm: 0.0730 2024-01-03 18:09:05,383 - mmseg - INFO - Iter [27800/38400] lr: 8.828e-04, eta: 0:09:44, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1761, decode.loss_grad: 0.0000, loss: 0.1761, grad_norm: 0.0731 2024-01-03 18:09:07,945 - mmseg - INFO - Iter [27850/38400] lr: 8.750e-04, eta: 0:09:41, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1755, decode.loss_grad: 0.0000, loss: 0.1755, grad_norm: 0.0727 2024-01-03 18:09:10,523 - mmseg - INFO - Iter [27900/38400] lr: 8.672e-04, eta: 0:09:38, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1731, decode.loss_grad: 0.0000, loss: 0.1731, grad_norm: 0.0681 2024-01-03 18:09:13,371 - mmseg - INFO - Iter [27950/38400] lr: 8.595e-04, eta: 0:09:36, time: 0.057, data_time: 0.002, memory: 749, decode.loss_depth: 0.1773, decode.loss_grad: 0.0000, loss: 0.1773, grad_norm: 0.0730 2024-01-03 18:09:15,938 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 18:09:15,938 - mmseg - INFO - Iter [28000/38400] lr: 8.518e-04, eta: 0:09:33, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1708, decode.loss_grad: 0.0000, loss: 0.1708, grad_norm: 0.0709 2024-01-03 18:09:18,517 - mmseg - INFO - Iter [28050/38400] lr: 8.441e-04, eta: 0:09:30, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1795, decode.loss_grad: 0.0000, loss: 0.1795, grad_norm: 0.0716 2024-01-03 18:09:21,094 - mmseg - INFO - Iter [28100/38400] lr: 8.365e-04, eta: 0:09:27, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1766, decode.loss_grad: 0.0000, loss: 0.1766, grad_norm: 0.0745 2024-01-03 18:09:23,850 - mmseg - INFO - Iter [28150/38400] lr: 8.288e-04, eta: 0:09:25, time: 0.055, data_time: 0.002, memory: 749, decode.loss_depth: 0.1750, decode.loss_grad: 0.0000, loss: 0.1750, grad_norm: 0.0734 2024-01-03 18:09:26,451 - mmseg - INFO - Iter [28200/38400] lr: 8.213e-04, eta: 0:09:22, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1751, decode.loss_grad: 0.0000, loss: 0.1751, grad_norm: 0.0748 2024-01-03 18:09:28,976 - mmseg - INFO - Iter [28250/38400] lr: 8.137e-04, eta: 0:09:19, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.1685, decode.loss_grad: 0.0000, loss: 0.1685, grad_norm: 0.0725 2024-01-03 18:09:31,537 - mmseg - INFO - Iter [28300/38400] lr: 8.062e-04, eta: 0:09:16, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1761, decode.loss_grad: 0.0000, loss: 0.1761, grad_norm: 0.0729 2024-01-03 18:09:34,224 - mmseg - INFO - Iter [28350/38400] lr: 7.986e-04, eta: 0:09:13, time: 0.054, data_time: 0.002, memory: 749, decode.loss_depth: 0.1768, decode.loss_grad: 0.0000, loss: 0.1768, grad_norm: 0.0761 2024-01-03 18:09:36,769 - mmseg - INFO - Iter [28400/38400] lr: 7.912e-04, eta: 0:09:10, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1746, decode.loss_grad: 0.0000, loss: 0.1746, grad_norm: 0.0718 2024-01-03 18:09:39,352 - mmseg - INFO - Iter [28450/38400] lr: 7.837e-04, eta: 0:09:08, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1787, decode.loss_grad: 0.0000, loss: 0.1787, grad_norm: 0.0736 2024-01-03 18:09:41,897 - mmseg - INFO - Iter [28500/38400] lr: 7.763e-04, eta: 0:09:05, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1737, decode.loss_grad: 0.0000, loss: 0.1737, grad_norm: 0.0732 2024-01-03 18:09:44,464 - mmseg - INFO - Iter [28550/38400] lr: 7.689e-04, eta: 0:09:02, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1737, decode.loss_grad: 0.0000, loss: 0.1737, grad_norm: 0.0717 2024-01-03 18:09:47,033 - mmseg - INFO - Iter [28600/38400] lr: 7.615e-04, eta: 0:08:59, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1803, decode.loss_grad: 0.0000, loss: 0.1803, grad_norm: 0.0722 2024-01-03 18:09:49,606 - mmseg - INFO - Iter [28650/38400] lr: 7.542e-04, eta: 0:08:56, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1783, decode.loss_grad: 0.0000, loss: 0.1783, grad_norm: 0.0755 2024-01-03 18:09:52,154 - mmseg - INFO - Iter [28700/38400] lr: 7.469e-04, eta: 0:08:54, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1828, decode.loss_grad: 0.0000, loss: 0.1828, grad_norm: 0.0736 2024-01-03 18:09:54,941 - mmseg - INFO - Iter [28750/38400] lr: 7.396e-04, eta: 0:08:51, time: 0.056, data_time: 0.002, memory: 749, decode.loss_depth: 0.1749, decode.loss_grad: 0.0000, loss: 0.1749, grad_norm: 0.0747 2024-01-03 18:09:59,595 - mmseg - INFO - Saving checkpoint at 28800 iterations 2024-01-03 18:09:59,610 - mmseg - INFO - Iter [28800/38400] lr: 7.324e-04, eta: 0:08:49, time: 0.093, data_time: 0.044, memory: 749, decode.loss_depth: 0.1759, decode.loss_grad: 0.0000, loss: 0.1759, grad_norm: 0.0711 2024-01-03 18:10:04,193 - mmseg - INFO - Summary: 2024-01-03 18:10:04,194 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.6582 | 0.9023 | 0.9717 | 0.2325 | 0.6693 | 0.0876 | 0.2455 | 18.3024 | 0.2151 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 18:10:04,195 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/original/vit_base_patch16_224.mae/best_abs_rel_iter_22400.pth was removed 2024-01-03 18:10:04,204 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_28800.pth. 2024-01-03 18:10:04,204 - mmseg - INFO - Best abs_rel is 0.2325 at 28800 iter. 2024-01-03 18:10:04,204 - mmseg - INFO - Iter(val) [82] a1: 0.6582, a2: 0.9023, a3: 0.9717, abs_rel: 0.23247019946575165, rmse: 0.6692546010017395, log_10: 0.08756324648857117, rmse_log: 0.2454991638660431, silog: 18.3024, sq_rel: 0.21506740152835846 2024-01-03 18:10:06,758 - mmseg - INFO - Iter [28850/38400] lr: 7.252e-04, eta: 0:08:47, time: 0.143, data_time: 0.094, memory: 749, decode.loss_depth: 0.1762, decode.loss_grad: 0.0000, loss: 0.1762, grad_norm: 0.0730 2024-01-03 18:10:09,326 - mmseg - INFO - Iter [28900/38400] lr: 7.180e-04, eta: 0:08:45, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1761, decode.loss_grad: 0.0000, loss: 0.1761, grad_norm: 0.0720 2024-01-03 18:10:11,908 - mmseg - INFO - Iter [28950/38400] lr: 7.108e-04, eta: 0:08:42, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1779, decode.loss_grad: 0.0000, loss: 0.1779, grad_norm: 0.0721 2024-01-03 18:10:14,466 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 18:10:14,466 - mmseg - INFO - Iter [29000/38400] lr: 7.037e-04, eta: 0:08:39, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1759, decode.loss_grad: 0.0000, loss: 0.1759, grad_norm: 0.0757 2024-01-03 18:10:17,211 - mmseg - INFO - Iter [29050/38400] lr: 6.966e-04, eta: 0:08:36, time: 0.055, data_time: 0.002, memory: 749, decode.loss_depth: 0.1777, decode.loss_grad: 0.0000, loss: 0.1777, grad_norm: 0.0704 2024-01-03 18:10:19,806 - mmseg - INFO - Iter [29100/38400] lr: 6.895e-04, eta: 0:08:33, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1710, decode.loss_grad: 0.0000, loss: 0.1710, grad_norm: 0.0720 2024-01-03 18:10:22,373 - mmseg - INFO - Iter [29150/38400] lr: 6.825e-04, eta: 0:08:30, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1758, decode.loss_grad: 0.0000, loss: 0.1758, grad_norm: 0.0702 2024-01-03 18:10:24,942 - mmseg - INFO - Iter [29200/38400] lr: 6.755e-04, eta: 0:08:28, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1748, decode.loss_grad: 0.0000, loss: 0.1748, grad_norm: 0.0699 2024-01-03 18:10:27,675 - mmseg - INFO - Iter [29250/38400] lr: 6.685e-04, eta: 0:08:25, time: 0.055, data_time: 0.002, memory: 749, decode.loss_depth: 0.1783, decode.loss_grad: 0.0000, loss: 0.1783, grad_norm: 0.0743 2024-01-03 18:10:30,249 - mmseg - INFO - Iter [29300/38400] lr: 6.616e-04, eta: 0:08:22, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1772, decode.loss_grad: 0.0000, loss: 0.1772, grad_norm: 0.0738 2024-01-03 18:10:32,791 - mmseg - INFO - Iter [29350/38400] lr: 6.546e-04, eta: 0:08:19, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1749, decode.loss_grad: 0.0000, loss: 0.1749, grad_norm: 0.0732 2024-01-03 18:10:35,385 - mmseg - INFO - Iter [29400/38400] lr: 6.478e-04, eta: 0:08:16, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1751, decode.loss_grad: 0.0000, loss: 0.1751, grad_norm: 0.0713 2024-01-03 18:10:37,989 - mmseg - INFO - Iter [29450/38400] lr: 6.409e-04, eta: 0:08:14, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1760, decode.loss_grad: 0.0000, loss: 0.1760, grad_norm: 0.0712 2024-01-03 18:10:40,560 - mmseg - INFO - Iter [29500/38400] lr: 6.341e-04, eta: 0:08:11, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1725, decode.loss_grad: 0.0000, loss: 0.1725, grad_norm: 0.0734 2024-01-03 18:10:43,142 - mmseg - INFO - Iter [29550/38400] lr: 6.273e-04, eta: 0:08:08, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1785, decode.loss_grad: 0.0000, loss: 0.1785, grad_norm: 0.0742 2024-01-03 18:10:45,737 - mmseg - INFO - Iter [29600/38400] lr: 6.205e-04, eta: 0:08:05, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1738, decode.loss_grad: 0.0000, loss: 0.1738, grad_norm: 0.0727 2024-01-03 18:10:48,408 - mmseg - INFO - Iter [29650/38400] lr: 6.138e-04, eta: 0:08:02, time: 0.053, data_time: 0.002, memory: 749, decode.loss_depth: 0.1703, decode.loss_grad: 0.0000, loss: 0.1703, grad_norm: 0.0697 2024-01-03 18:10:50,982 - mmseg - INFO - Iter [29700/38400] lr: 6.071e-04, eta: 0:08:00, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1746, decode.loss_grad: 0.0000, loss: 0.1746, grad_norm: 0.0752 2024-01-03 18:10:53,554 - mmseg - INFO - Iter [29750/38400] lr: 6.004e-04, eta: 0:07:57, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1717, decode.loss_grad: 0.0000, loss: 0.1717, grad_norm: 0.0697 2024-01-03 18:10:56,117 - mmseg - INFO - Iter [29800/38400] lr: 5.938e-04, eta: 0:07:54, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1775, decode.loss_grad: 0.0000, loss: 0.1775, grad_norm: 0.0721 2024-01-03 18:10:58,699 - mmseg - INFO - Iter [29850/38400] lr: 5.872e-04, eta: 0:07:51, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1757, decode.loss_grad: 0.0000, loss: 0.1757, grad_norm: 0.0749 2024-01-03 18:11:01,267 - mmseg - INFO - Iter [29900/38400] lr: 5.806e-04, eta: 0:07:48, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1716, decode.loss_grad: 0.0000, loss: 0.1716, grad_norm: 0.0710 2024-01-03 18:11:03,845 - mmseg - INFO - Iter [29950/38400] lr: 5.741e-04, eta: 0:07:46, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1774, decode.loss_grad: 0.0000, loss: 0.1774, grad_norm: 0.0735 2024-01-03 18:11:06,404 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 18:11:06,404 - mmseg - INFO - Iter [30000/38400] lr: 5.676e-04, eta: 0:07:43, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1759, decode.loss_grad: 0.0000, loss: 0.1759, grad_norm: 0.0737 2024-01-03 18:11:08,988 - mmseg - INFO - Iter [30050/38400] lr: 5.611e-04, eta: 0:07:40, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1729, decode.loss_grad: 0.0000, loss: 0.1729, grad_norm: 0.0700 2024-01-03 18:11:11,701 - mmseg - INFO - Iter [30100/38400] lr: 5.547e-04, eta: 0:07:37, time: 0.054, data_time: 0.002, memory: 749, decode.loss_depth: 0.1731, decode.loss_grad: 0.0000, loss: 0.1731, grad_norm: 0.0725 2024-01-03 18:11:14,282 - mmseg - INFO - Iter [30150/38400] lr: 5.483e-04, eta: 0:07:34, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1702, decode.loss_grad: 0.0000, loss: 0.1702, grad_norm: 0.0723 2024-01-03 18:11:16,859 - mmseg - INFO - Iter [30200/38400] lr: 5.419e-04, eta: 0:07:32, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1741, decode.loss_grad: 0.0000, loss: 0.1741, grad_norm: 0.0729 2024-01-03 18:11:19,428 - mmseg - INFO - Iter [30250/38400] lr: 5.356e-04, eta: 0:07:29, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1728, decode.loss_grad: 0.0000, loss: 0.1728, grad_norm: 0.0746 2024-01-03 18:11:24,080 - mmseg - INFO - Iter [30300/38400] lr: 5.293e-04, eta: 0:07:26, time: 0.093, data_time: 0.044, memory: 749, decode.loss_depth: 0.1736, decode.loss_grad: 0.0000, loss: 0.1736, grad_norm: 0.0692 2024-01-03 18:11:26,641 - mmseg - INFO - Iter [30350/38400] lr: 5.230e-04, eta: 0:07:24, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1730, decode.loss_grad: 0.0000, loss: 0.1730, grad_norm: 0.0718 2024-01-03 18:11:29,195 - mmseg - INFO - Saving checkpoint at 30400 iterations 2024-01-03 18:11:29,209 - mmseg - INFO - Iter [30400/38400] lr: 5.167e-04, eta: 0:07:21, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1722, decode.loss_grad: 0.0000, loss: 0.1722, grad_norm: 0.0716 2024-01-03 18:11:32,019 - mmseg - INFO - Iter [30450/38400] lr: 5.105e-04, eta: 0:07:18, time: 0.056, data_time: 0.002, memory: 749, decode.loss_depth: 0.1729, decode.loss_grad: 0.0000, loss: 0.1729, grad_norm: 0.0725 2024-01-03 18:11:34,607 - mmseg - INFO - Iter [30500/38400] lr: 5.044e-04, eta: 0:07:15, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1762, decode.loss_grad: 0.0000, loss: 0.1762, grad_norm: 0.0755 2024-01-03 18:11:37,167 - mmseg - INFO - Iter [30550/38400] lr: 4.982e-04, eta: 0:07:12, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1767, decode.loss_grad: 0.0000, loss: 0.1767, grad_norm: 0.0711 2024-01-03 18:11:39,715 - mmseg - INFO - Iter [30600/38400] lr: 4.921e-04, eta: 0:07:10, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1731, decode.loss_grad: 0.0000, loss: 0.1731, grad_norm: 0.0702 2024-01-03 18:11:42,538 - mmseg - INFO - Iter [30650/38400] lr: 4.860e-04, eta: 0:07:07, time: 0.056, data_time: 0.002, memory: 749, decode.loss_depth: 0.1737, decode.loss_grad: 0.0000, loss: 0.1737, grad_norm: 0.0739 2024-01-03 18:11:45,127 - mmseg - INFO - Iter [30700/38400] lr: 4.800e-04, eta: 0:07:04, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1719, decode.loss_grad: 0.0000, loss: 0.1719, grad_norm: 0.0747 2024-01-03 18:11:47,687 - mmseg - INFO - Iter [30750/38400] lr: 4.740e-04, eta: 0:07:01, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1737, decode.loss_grad: 0.0000, loss: 0.1737, grad_norm: 0.0711 2024-01-03 18:11:50,261 - mmseg - INFO - Iter [30800/38400] lr: 4.680e-04, eta: 0:06:59, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1735, decode.loss_grad: 0.0000, loss: 0.1735, grad_norm: 0.0693 2024-01-03 18:11:52,832 - mmseg - INFO - Iter [30850/38400] lr: 4.621e-04, eta: 0:06:56, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1678, decode.loss_grad: 0.0000, loss: 0.1678, grad_norm: 0.0710 2024-01-03 18:11:55,396 - mmseg - INFO - Iter [30900/38400] lr: 4.562e-04, eta: 0:06:53, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1762, decode.loss_grad: 0.0000, loss: 0.1762, grad_norm: 0.0730 2024-01-03 18:11:57,964 - mmseg - INFO - Iter [30950/38400] lr: 4.503e-04, eta: 0:06:50, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1741, decode.loss_grad: 0.0000, loss: 0.1741, grad_norm: 0.0750 2024-01-03 18:12:00,517 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 18:12:00,518 - mmseg - INFO - Iter [31000/38400] lr: 4.444e-04, eta: 0:06:47, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1793, decode.loss_grad: 0.0000, loss: 0.1793, grad_norm: 0.0722 2024-01-03 18:12:03,075 - mmseg - INFO - Iter [31050/38400] lr: 4.386e-04, eta: 0:06:44, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1739, decode.loss_grad: 0.0000, loss: 0.1739, grad_norm: 0.0717 2024-01-03 18:12:05,751 - mmseg - INFO - Iter [31100/38400] lr: 4.329e-04, eta: 0:06:42, time: 0.054, data_time: 0.002, memory: 749, decode.loss_depth: 0.1720, decode.loss_grad: 0.0000, loss: 0.1720, grad_norm: 0.0697 2024-01-03 18:12:08,297 - mmseg - INFO - Iter [31150/38400] lr: 4.271e-04, eta: 0:06:39, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1742, decode.loss_grad: 0.0000, loss: 0.1742, grad_norm: 0.0701 2024-01-03 18:12:10,880 - mmseg - INFO - Iter [31200/38400] lr: 4.214e-04, eta: 0:06:36, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1699, decode.loss_grad: 0.0000, loss: 0.1699, grad_norm: 0.0703 2024-01-03 18:12:13,440 - mmseg - INFO - Iter [31250/38400] lr: 4.158e-04, eta: 0:06:33, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1780, decode.loss_grad: 0.0000, loss: 0.1780, grad_norm: 0.0743 2024-01-03 18:12:16,074 - mmseg - INFO - Iter [31300/38400] lr: 4.101e-04, eta: 0:06:31, time: 0.053, data_time: 0.002, memory: 749, decode.loss_depth: 0.1711, decode.loss_grad: 0.0000, loss: 0.1711, grad_norm: 0.0707 2024-01-03 18:12:18,635 - mmseg - INFO - Iter [31350/38400] lr: 4.045e-04, eta: 0:06:28, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1777, decode.loss_grad: 0.0000, loss: 0.1777, grad_norm: 0.0710 2024-01-03 18:12:21,223 - mmseg - INFO - Iter [31400/38400] lr: 3.990e-04, eta: 0:06:25, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1724, decode.loss_grad: 0.0000, loss: 0.1724, grad_norm: 0.0693 2024-01-03 18:12:23,797 - mmseg - INFO - Iter [31450/38400] lr: 3.935e-04, eta: 0:06:22, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1724, decode.loss_grad: 0.0000, loss: 0.1724, grad_norm: 0.0724 2024-01-03 18:12:26,630 - mmseg - INFO - Iter [31500/38400] lr: 3.880e-04, eta: 0:06:19, time: 0.057, data_time: 0.002, memory: 749, decode.loss_depth: 0.1740, decode.loss_grad: 0.0000, loss: 0.1740, grad_norm: 0.0731 2024-01-03 18:12:29,185 - mmseg - INFO - Iter [31550/38400] lr: 3.825e-04, eta: 0:06:17, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1779, decode.loss_grad: 0.0000, loss: 0.1779, grad_norm: 0.0754 2024-01-03 18:12:31,765 - mmseg - INFO - Iter [31600/38400] lr: 3.771e-04, eta: 0:06:14, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1728, decode.loss_grad: 0.0000, loss: 0.1728, grad_norm: 0.0706 2024-01-03 18:12:34,333 - mmseg - INFO - Iter [31650/38400] lr: 3.717e-04, eta: 0:06:11, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1772, decode.loss_grad: 0.0000, loss: 0.1772, grad_norm: 0.0724 2024-01-03 18:12:36,998 - mmseg - INFO - Iter [31700/38400] lr: 3.664e-04, eta: 0:06:08, time: 0.053, data_time: 0.002, memory: 749, decode.loss_depth: 0.1787, decode.loss_grad: 0.0000, loss: 0.1787, grad_norm: 0.0737 2024-01-03 18:12:39,536 - mmseg - INFO - Iter [31750/38400] lr: 3.611e-04, eta: 0:06:05, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1759, decode.loss_grad: 0.0000, loss: 0.1759, grad_norm: 0.0710 2024-01-03 18:12:44,179 - mmseg - INFO - Iter [31800/38400] lr: 3.558e-04, eta: 0:06:03, time: 0.093, data_time: 0.044, memory: 749, decode.loss_depth: 0.1731, decode.loss_grad: 0.0000, loss: 0.1731, grad_norm: 0.0731 2024-01-03 18:12:46,802 - mmseg - INFO - Iter [31850/38400] lr: 3.505e-04, eta: 0:06:00, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1748, decode.loss_grad: 0.0000, loss: 0.1748, grad_norm: 0.0761 2024-01-03 18:12:49,371 - mmseg - INFO - Iter [31900/38400] lr: 3.453e-04, eta: 0:05:58, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1694, decode.loss_grad: 0.0000, loss: 0.1694, grad_norm: 0.0694 2024-01-03 18:12:51,953 - mmseg - INFO - Iter [31950/38400] lr: 3.402e-04, eta: 0:05:55, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1761, decode.loss_grad: 0.0000, loss: 0.1761, grad_norm: 0.0739 2024-01-03 18:12:54,543 - mmseg - INFO - Saving checkpoint at 32000 iterations 2024-01-03 18:12:54,558 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 18:12:54,558 - mmseg - INFO - Iter [32000/38400] lr: 3.350e-04, eta: 0:05:52, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1748, decode.loss_grad: 0.0000, loss: 0.1748, grad_norm: 0.0731 2024-01-03 18:12:59,138 - mmseg - INFO - Summary: 2024-01-03 18:12:59,138 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.6522 | 0.8991 | 0.9703 | 0.2376 | 0.6762 | 0.0887 | 0.2483 | 18.2106 | 0.223 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 18:12:59,139 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 18:12:59,139 - mmseg - INFO - Iter(val) [82] a1: 0.6522, a2: 0.8991, a3: 0.9703, abs_rel: 0.23758308589458466, rmse: 0.6761521100997925, log_10: 0.0887485146522522, rmse_log: 0.24827559292316437, silog: 18.2106, sq_rel: 0.22296682000160217 2024-01-03 18:13:01,712 - mmseg - INFO - Iter [32050/38400] lr: 3.299e-04, eta: 0:05:50, time: 0.143, data_time: 0.094, memory: 749, decode.loss_depth: 0.1786, decode.loss_grad: 0.0000, loss: 0.1786, grad_norm: 0.0737 2024-01-03 18:13:04,307 - mmseg - INFO - Iter [32100/38400] lr: 3.249e-04, eta: 0:05:47, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1762, decode.loss_grad: 0.0000, loss: 0.1762, grad_norm: 0.0715 2024-01-03 18:13:06,894 - mmseg - INFO - Iter [32150/38400] lr: 3.199e-04, eta: 0:05:45, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1754, decode.loss_grad: 0.0000, loss: 0.1754, grad_norm: 0.0737 2024-01-03 18:13:09,690 - mmseg - INFO - Iter [32200/38400] lr: 3.149e-04, eta: 0:05:42, time: 0.056, data_time: 0.002, memory: 749, decode.loss_depth: 0.1728, decode.loss_grad: 0.0000, loss: 0.1728, grad_norm: 0.0734 2024-01-03 18:13:12,241 - mmseg - INFO - Iter [32250/38400] lr: 3.099e-04, eta: 0:05:39, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1713, decode.loss_grad: 0.0000, loss: 0.1713, grad_norm: 0.0688 2024-01-03 18:13:14,828 - mmseg - INFO - Iter [32300/38400] lr: 3.050e-04, eta: 0:05:36, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1711, decode.loss_grad: 0.0000, loss: 0.1711, grad_norm: 0.0713 2024-01-03 18:13:17,401 - mmseg - INFO - Iter [32350/38400] lr: 3.001e-04, eta: 0:05:33, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1709, decode.loss_grad: 0.0000, loss: 0.1709, grad_norm: 0.0729 2024-01-03 18:13:20,084 - mmseg - INFO - Iter [32400/38400] lr: 2.953e-04, eta: 0:05:31, time: 0.054, data_time: 0.002, memory: 749, decode.loss_depth: 0.1755, decode.loss_grad: 0.0000, loss: 0.1755, grad_norm: 0.0703 2024-01-03 18:13:22,643 - mmseg - INFO - Iter [32450/38400] lr: 2.905e-04, eta: 0:05:28, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1772, decode.loss_grad: 0.0000, loss: 0.1772, grad_norm: 0.0727 2024-01-03 18:13:25,227 - mmseg - INFO - Iter [32500/38400] lr: 2.857e-04, eta: 0:05:25, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1746, decode.loss_grad: 0.0000, loss: 0.1746, grad_norm: 0.0690 2024-01-03 18:13:27,800 - mmseg - INFO - Iter [32550/38400] lr: 2.810e-04, eta: 0:05:22, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1755, decode.loss_grad: 0.0000, loss: 0.1755, grad_norm: 0.0705 2024-01-03 18:13:30,632 - mmseg - INFO - Iter [32600/38400] lr: 2.763e-04, eta: 0:05:19, time: 0.057, data_time: 0.002, memory: 749, decode.loss_depth: 0.1738, decode.loss_grad: 0.0000, loss: 0.1738, grad_norm: 0.0696 2024-01-03 18:13:33,199 - mmseg - INFO - Iter [32650/38400] lr: 2.716e-04, eta: 0:05:17, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1732, decode.loss_grad: 0.0000, loss: 0.1732, grad_norm: 0.0720 2024-01-03 18:13:35,779 - mmseg - INFO - Iter [32700/38400] lr: 2.670e-04, eta: 0:05:14, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1739, decode.loss_grad: 0.0000, loss: 0.1739, grad_norm: 0.0724 2024-01-03 18:13:38,375 - mmseg - INFO - Iter [32750/38400] lr: 2.625e-04, eta: 0:05:11, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1792, decode.loss_grad: 0.0000, loss: 0.1792, grad_norm: 0.0723 2024-01-03 18:13:41,258 - mmseg - INFO - Iter [32800/38400] lr: 2.579e-04, eta: 0:05:08, time: 0.058, data_time: 0.002, memory: 749, decode.loss_depth: 0.1756, decode.loss_grad: 0.0000, loss: 0.1756, grad_norm: 0.0724 2024-01-03 18:13:43,816 - mmseg - INFO - Iter [32850/38400] lr: 2.534e-04, eta: 0:05:06, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1761, decode.loss_grad: 0.0000, loss: 0.1761, grad_norm: 0.0715 2024-01-03 18:13:46,395 - mmseg - INFO - Iter [32900/38400] lr: 2.489e-04, eta: 0:05:03, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1697, decode.loss_grad: 0.0000, loss: 0.1697, grad_norm: 0.0700 2024-01-03 18:13:48,988 - mmseg - INFO - Iter [32950/38400] lr: 2.445e-04, eta: 0:05:00, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1740, decode.loss_grad: 0.0000, loss: 0.1740, grad_norm: 0.0714 2024-01-03 18:13:51,818 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 18:13:51,819 - mmseg - INFO - Iter [33000/38400] lr: 2.401e-04, eta: 0:04:57, time: 0.057, data_time: 0.002, memory: 749, decode.loss_depth: 0.1697, decode.loss_grad: 0.0000, loss: 0.1697, grad_norm: 0.0671 2024-01-03 18:13:54,387 - mmseg - INFO - Iter [33050/38400] lr: 2.358e-04, eta: 0:04:54, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1781, decode.loss_grad: 0.0000, loss: 0.1781, grad_norm: 0.0716 2024-01-03 18:13:56,977 - mmseg - INFO - Iter [33100/38400] lr: 2.314e-04, eta: 0:04:52, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1665, decode.loss_grad: 0.0000, loss: 0.1665, grad_norm: 0.0697 2024-01-03 18:13:59,549 - mmseg - INFO - Iter [33150/38400] lr: 2.272e-04, eta: 0:04:49, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1740, decode.loss_grad: 0.0000, loss: 0.1740, grad_norm: 0.0710 2024-01-03 18:14:02,313 - mmseg - INFO - Iter [33200/38400] lr: 2.229e-04, eta: 0:04:46, time: 0.055, data_time: 0.002, memory: 749, decode.loss_depth: 0.1708, decode.loss_grad: 0.0000, loss: 0.1708, grad_norm: 0.0698 2024-01-03 18:14:04,896 - mmseg - INFO - Iter [33250/38400] lr: 2.187e-04, eta: 0:04:43, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1755, decode.loss_grad: 0.0000, loss: 0.1755, grad_norm: 0.0698 2024-01-03 18:14:07,500 - mmseg - INFO - Iter [33300/38400] lr: 2.146e-04, eta: 0:04:41, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1738, decode.loss_grad: 0.0000, loss: 0.1738, grad_norm: 0.0735 2024-01-03 18:14:12,230 - mmseg - INFO - Iter [33350/38400] lr: 2.104e-04, eta: 0:04:38, time: 0.095, data_time: 0.044, memory: 749, decode.loss_depth: 0.1769, decode.loss_grad: 0.0000, loss: 0.1769, grad_norm: 0.0716 2024-01-03 18:14:14,813 - mmseg - INFO - Iter [33400/38400] lr: 2.063e-04, eta: 0:04:35, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1740, decode.loss_grad: 0.0000, loss: 0.1740, grad_norm: 0.0711 2024-01-03 18:14:17,380 - mmseg - INFO - Iter [33450/38400] lr: 2.023e-04, eta: 0:04:33, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1782, decode.loss_grad: 0.0000, loss: 0.1782, grad_norm: 0.0709 2024-01-03 18:14:19,955 - mmseg - INFO - Iter [33500/38400] lr: 1.983e-04, eta: 0:04:30, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1725, decode.loss_grad: 0.0000, loss: 0.1725, grad_norm: 0.0706 2024-01-03 18:14:22,725 - mmseg - INFO - Iter [33550/38400] lr: 1.943e-04, eta: 0:04:27, time: 0.055, data_time: 0.002, memory: 749, decode.loss_depth: 0.1788, decode.loss_grad: 0.0000, loss: 0.1788, grad_norm: 0.0717 2024-01-03 18:14:25,314 - mmseg - INFO - Saving checkpoint at 33600 iterations 2024-01-03 18:14:25,329 - mmseg - INFO - Iter [33600/38400] lr: 1.904e-04, eta: 0:04:24, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1743, decode.loss_grad: 0.0000, loss: 0.1743, grad_norm: 0.0720 2024-01-03 18:14:27,872 - mmseg - INFO - Iter [33650/38400] lr: 1.865e-04, eta: 0:04:21, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1724, decode.loss_grad: 0.0000, loss: 0.1724, grad_norm: 0.0716 2024-01-03 18:14:30,428 - mmseg - INFO - Iter [33700/38400] lr: 1.826e-04, eta: 0:04:19, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1692, decode.loss_grad: 0.0000, loss: 0.1692, grad_norm: 0.0691 2024-01-03 18:14:32,987 - mmseg - INFO - Iter [33750/38400] lr: 1.788e-04, eta: 0:04:16, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1752, decode.loss_grad: 0.0000, loss: 0.1752, grad_norm: 0.0699 2024-01-03 18:14:35,572 - mmseg - INFO - Iter [33800/38400] lr: 1.750e-04, eta: 0:04:13, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1742, decode.loss_grad: 0.0000, loss: 0.1742, grad_norm: 0.0702 2024-01-03 18:14:38,115 - mmseg - INFO - Iter [33850/38400] lr: 1.713e-04, eta: 0:04:10, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1692, decode.loss_grad: 0.0000, loss: 0.1692, grad_norm: 0.0751 2024-01-03 18:14:40,692 - mmseg - INFO - Iter [33900/38400] lr: 1.676e-04, eta: 0:04:08, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1703, decode.loss_grad: 0.0000, loss: 0.1703, grad_norm: 0.0706 2024-01-03 18:14:43,252 - mmseg - INFO - Iter [33950/38400] lr: 1.639e-04, eta: 0:04:05, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1683, decode.loss_grad: 0.0000, loss: 0.1683, grad_norm: 0.0676 2024-01-03 18:14:45,981 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 18:14:45,981 - mmseg - INFO - Iter [34000/38400] lr: 1.603e-04, eta: 0:04:02, time: 0.055, data_time: 0.002, memory: 749, decode.loss_depth: 0.1707, decode.loss_grad: 0.0000, loss: 0.1707, grad_norm: 0.0708 2024-01-03 18:14:48,535 - mmseg - INFO - Iter [34050/38400] lr: 1.567e-04, eta: 0:03:59, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1750, decode.loss_grad: 0.0000, loss: 0.1750, grad_norm: 0.0718 2024-01-03 18:14:51,110 - mmseg - INFO - Iter [34100/38400] lr: 1.532e-04, eta: 0:03:56, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1699, decode.loss_grad: 0.0000, loss: 0.1699, grad_norm: 0.0693 2024-01-03 18:14:53,715 - mmseg - INFO - Iter [34150/38400] lr: 1.497e-04, eta: 0:03:54, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1719, decode.loss_grad: 0.0000, loss: 0.1719, grad_norm: 0.0744 2024-01-03 18:14:56,436 - mmseg - INFO - Iter [34200/38400] lr: 1.462e-04, eta: 0:03:51, time: 0.054, data_time: 0.002, memory: 749, decode.loss_depth: 0.1742, decode.loss_grad: 0.0000, loss: 0.1742, grad_norm: 0.0719 2024-01-03 18:14:59,007 - mmseg - INFO - Iter [34250/38400] lr: 1.428e-04, eta: 0:03:48, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1766, decode.loss_grad: 0.0000, loss: 0.1766, grad_norm: 0.0715 2024-01-03 18:15:01,583 - mmseg - INFO - Iter [34300/38400] lr: 1.394e-04, eta: 0:03:45, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1747, decode.loss_grad: 0.0000, loss: 0.1747, grad_norm: 0.0715 2024-01-03 18:15:04,132 - mmseg - INFO - Iter [34350/38400] lr: 1.360e-04, eta: 0:03:43, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1749, decode.loss_grad: 0.0000, loss: 0.1749, grad_norm: 0.0709 2024-01-03 18:15:06,739 - mmseg - INFO - Iter [34400/38400] lr: 1.327e-04, eta: 0:03:40, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1732, decode.loss_grad: 0.0000, loss: 0.1732, grad_norm: 0.0713 2024-01-03 18:15:09,287 - mmseg - INFO - Iter [34450/38400] lr: 1.295e-04, eta: 0:03:37, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1695, decode.loss_grad: 0.0000, loss: 0.1695, grad_norm: 0.0723 2024-01-03 18:15:11,841 - mmseg - INFO - Iter [34500/38400] lr: 1.262e-04, eta: 0:03:34, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1735, decode.loss_grad: 0.0000, loss: 0.1735, grad_norm: 0.0726 2024-01-03 18:15:14,455 - mmseg - INFO - Iter [34550/38400] lr: 1.231e-04, eta: 0:03:31, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1732, decode.loss_grad: 0.0000, loss: 0.1732, grad_norm: 0.0690 2024-01-03 18:15:17,176 - mmseg - INFO - Iter [34600/38400] lr: 1.199e-04, eta: 0:03:29, time: 0.054, data_time: 0.002, memory: 749, decode.loss_depth: 0.1712, decode.loss_grad: 0.0000, loss: 0.1712, grad_norm: 0.0686 2024-01-03 18:15:19,745 - mmseg - INFO - Iter [34650/38400] lr: 1.168e-04, eta: 0:03:26, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1703, decode.loss_grad: 0.0000, loss: 0.1703, grad_norm: 0.0665 2024-01-03 18:15:22,294 - mmseg - INFO - Iter [34700/38400] lr: 1.137e-04, eta: 0:03:23, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1731, decode.loss_grad: 0.0000, loss: 0.1731, grad_norm: 0.0719 2024-01-03 18:15:24,872 - mmseg - INFO - Iter [34750/38400] lr: 1.107e-04, eta: 0:03:20, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1719, decode.loss_grad: 0.0000, loss: 0.1719, grad_norm: 0.0711 2024-01-03 18:15:27,623 - mmseg - INFO - Iter [34800/38400] lr: 1.077e-04, eta: 0:03:18, time: 0.055, data_time: 0.002, memory: 749, decode.loss_depth: 0.1721, decode.loss_grad: 0.0000, loss: 0.1721, grad_norm: 0.0694 2024-01-03 18:15:32,287 - mmseg - INFO - Iter [34850/38400] lr: 1.048e-04, eta: 0:03:15, time: 0.093, data_time: 0.044, memory: 749, decode.loss_depth: 0.1668, decode.loss_grad: 0.0000, loss: 0.1668, grad_norm: 0.0696 2024-01-03 18:15:34,847 - mmseg - INFO - Iter [34900/38400] lr: 1.018e-04, eta: 0:03:12, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1742, decode.loss_grad: 0.0000, loss: 0.1742, grad_norm: 0.0722 2024-01-03 18:15:37,411 - mmseg - INFO - Iter [34950/38400] lr: 9.898e-05, eta: 0:03:10, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1732, decode.loss_grad: 0.0000, loss: 0.1732, grad_norm: 0.0710 2024-01-03 18:15:40,051 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 18:15:40,051 - mmseg - INFO - Iter [35000/38400] lr: 9.615e-05, eta: 0:03:07, time: 0.053, data_time: 0.002, memory: 749, decode.loss_depth: 0.1737, decode.loss_grad: 0.0000, loss: 0.1737, grad_norm: 0.0704 2024-01-03 18:15:42,638 - mmseg - INFO - Iter [35050/38400] lr: 9.336e-05, eta: 0:03:04, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1738, decode.loss_grad: 0.0000, loss: 0.1738, grad_norm: 0.0708 2024-01-03 18:15:45,211 - mmseg - INFO - Iter [35100/38400] lr: 9.061e-05, eta: 0:03:01, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1737, decode.loss_grad: 0.0000, loss: 0.1737, grad_norm: 0.0699 2024-01-03 18:15:47,783 - mmseg - INFO - Iter [35150/38400] lr: 8.791e-05, eta: 0:02:58, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1730, decode.loss_grad: 0.0000, loss: 0.1730, grad_norm: 0.0714 2024-01-03 18:15:50,392 - mmseg - INFO - Saving checkpoint at 35200 iterations 2024-01-03 18:15:50,412 - mmseg - INFO - Iter [35200/38400] lr: 8.524e-05, eta: 0:02:56, time: 0.053, data_time: 0.002, memory: 749, decode.loss_depth: 0.1756, decode.loss_grad: 0.0000, loss: 0.1756, grad_norm: 0.0705 2024-01-03 18:15:55,017 - mmseg - INFO - Summary: 2024-01-03 18:15:55,018 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.6607 | 0.9033 | 0.9723 | 0.2309 | 0.6653 | 0.0871 | 0.2443 | 18.1825 | 0.2113 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 18:15:55,020 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/original/vit_base_patch16_224.mae/best_abs_rel_iter_28800.pth was removed 2024-01-03 18:15:55,031 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_35200.pth. 2024-01-03 18:15:55,031 - mmseg - INFO - Best abs_rel is 0.2309 at 35200 iter. 2024-01-03 18:15:55,031 - mmseg - INFO - Iter(val) [82] a1: 0.6607, a2: 0.9033, a3: 0.9723, abs_rel: 0.2309286892414093, rmse: 0.6652916073799133, log_10: 0.0871017798781395, rmse_log: 0.2443278580904007, silog: 18.1825, sq_rel: 0.2113126665353775 2024-01-03 18:15:57,602 - mmseg - INFO - Iter [35250/38400] lr: 8.261e-05, eta: 0:02:53, time: 0.144, data_time: 0.094, memory: 749, decode.loss_depth: 0.1722, decode.loss_grad: 0.0000, loss: 0.1722, grad_norm: 0.0723 2024-01-03 18:16:00,201 - mmseg - INFO - Iter [35300/38400] lr: 8.002e-05, eta: 0:02:51, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1669, decode.loss_grad: 0.0000, loss: 0.1669, grad_norm: 0.0714 2024-01-03 18:16:02,769 - mmseg - INFO - Iter [35350/38400] lr: 7.748e-05, eta: 0:02:48, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1722, decode.loss_grad: 0.0000, loss: 0.1722, grad_norm: 0.0706 2024-01-03 18:16:05,354 - mmseg - INFO - Iter [35400/38400] lr: 7.497e-05, eta: 0:02:45, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1750, decode.loss_grad: 0.0000, loss: 0.1750, grad_norm: 0.0758 2024-01-03 18:16:07,931 - mmseg - INFO - Iter [35450/38400] lr: 7.251e-05, eta: 0:02:42, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1770, decode.loss_grad: 0.0000, loss: 0.1770, grad_norm: 0.0702 2024-01-03 18:16:10,721 - mmseg - INFO - Iter [35500/38400] lr: 7.008e-05, eta: 0:02:39, time: 0.056, data_time: 0.002, memory: 749, decode.loss_depth: 0.1687, decode.loss_grad: 0.0000, loss: 0.1687, grad_norm: 0.0716 2024-01-03 18:16:13,301 - mmseg - INFO - Iter [35550/38400] lr: 6.770e-05, eta: 0:02:37, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1788, decode.loss_grad: 0.0000, loss: 0.1788, grad_norm: 0.0705 2024-01-03 18:16:15,870 - mmseg - INFO - Iter [35600/38400] lr: 6.535e-05, eta: 0:02:34, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1733, decode.loss_grad: 0.0000, loss: 0.1733, grad_norm: 0.0711 2024-01-03 18:16:18,428 - mmseg - INFO - Iter [35650/38400] lr: 6.305e-05, eta: 0:02:31, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1701, decode.loss_grad: 0.0000, loss: 0.1701, grad_norm: 0.0694 2024-01-03 18:16:21,012 - mmseg - INFO - Iter [35700/38400] lr: 6.079e-05, eta: 0:02:28, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1699, decode.loss_grad: 0.0000, loss: 0.1699, grad_norm: 0.0713 2024-01-03 18:16:23,584 - mmseg - INFO - Iter [35750/38400] lr: 5.857e-05, eta: 0:02:26, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1730, decode.loss_grad: 0.0000, loss: 0.1730, grad_norm: 0.0717 2024-01-03 18:16:26,131 - mmseg - INFO - Iter [35800/38400] lr: 5.639e-05, eta: 0:02:23, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1749, decode.loss_grad: 0.0000, loss: 0.1749, grad_norm: 0.0738 2024-01-03 18:16:28,702 - mmseg - INFO - Iter [35850/38400] lr: 5.425e-05, eta: 0:02:20, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1700, decode.loss_grad: 0.0000, loss: 0.1700, grad_norm: 0.0704 2024-01-03 18:16:31,273 - mmseg - INFO - Iter [35900/38400] lr: 5.215e-05, eta: 0:02:17, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1779, decode.loss_grad: 0.0000, loss: 0.1779, grad_norm: 0.0714 2024-01-03 18:16:33,845 - mmseg - INFO - Iter [35950/38400] lr: 5.009e-05, eta: 0:02:15, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1716, decode.loss_grad: 0.0000, loss: 0.1716, grad_norm: 0.0692 2024-01-03 18:16:36,420 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 18:16:36,420 - mmseg - INFO - Iter [36000/38400] lr: 4.808e-05, eta: 0:02:12, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1754, decode.loss_grad: 0.0000, loss: 0.1754, grad_norm: 0.0721 2024-01-03 18:16:38,965 - mmseg - INFO - Iter [36050/38400] lr: 4.610e-05, eta: 0:02:09, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1728, decode.loss_grad: 0.0000, loss: 0.1728, grad_norm: 0.0725 2024-01-03 18:16:41,777 - mmseg - INFO - Iter [36100/38400] lr: 4.417e-05, eta: 0:02:06, time: 0.056, data_time: 0.002, memory: 749, decode.loss_depth: 0.1759, decode.loss_grad: 0.0000, loss: 0.1759, grad_norm: 0.0705 2024-01-03 18:16:44,309 - mmseg - INFO - Iter [36150/38400] lr: 4.227e-05, eta: 0:02:03, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1739, decode.loss_grad: 0.0000, loss: 0.1739, grad_norm: 0.0730 2024-01-03 18:16:46,903 - mmseg - INFO - Iter [36200/38400] lr: 4.042e-05, eta: 0:02:01, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1711, decode.loss_grad: 0.0000, loss: 0.1711, grad_norm: 0.0739 2024-01-03 18:16:49,473 - mmseg - INFO - Iter [36250/38400] lr: 3.861e-05, eta: 0:01:58, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1752, decode.loss_grad: 0.0000, loss: 0.1752, grad_norm: 0.0701 2024-01-03 18:16:52,051 - mmseg - INFO - Iter [36300/38400] lr: 3.684e-05, eta: 0:01:55, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1704, decode.loss_grad: 0.0000, loss: 0.1704, grad_norm: 0.0723 2024-01-03 18:16:56,709 - mmseg - INFO - Iter [36350/38400] lr: 3.511e-05, eta: 0:01:53, time: 0.093, data_time: 0.044, memory: 749, decode.loss_depth: 0.1733, decode.loss_grad: 0.0000, loss: 0.1733, grad_norm: 0.0716 2024-01-03 18:16:59,298 - mmseg - INFO - Iter [36400/38400] lr: 3.343e-05, eta: 0:01:50, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1717, decode.loss_grad: 0.0000, loss: 0.1717, grad_norm: 0.0698 2024-01-03 18:17:01,894 - mmseg - INFO - Iter [36450/38400] lr: 3.178e-05, eta: 0:01:47, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1696, decode.loss_grad: 0.0000, loss: 0.1696, grad_norm: 0.0695 2024-01-03 18:17:04,623 - mmseg - INFO - Iter [36500/38400] lr: 3.017e-05, eta: 0:01:44, time: 0.055, data_time: 0.002, memory: 749, decode.loss_depth: 0.1696, decode.loss_grad: 0.0000, loss: 0.1696, grad_norm: 0.0716 2024-01-03 18:17:07,185 - mmseg - INFO - Iter [36550/38400] lr: 2.861e-05, eta: 0:01:41, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1756, decode.loss_grad: 0.0000, loss: 0.1756, grad_norm: 0.0707 2024-01-03 18:17:09,743 - mmseg - INFO - Iter [36600/38400] lr: 2.709e-05, eta: 0:01:39, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1727, decode.loss_grad: 0.0000, loss: 0.1727, grad_norm: 0.0702 2024-01-03 18:17:12,315 - mmseg - INFO - Iter [36650/38400] lr: 2.561e-05, eta: 0:01:36, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1749, decode.loss_grad: 0.0000, loss: 0.1749, grad_norm: 0.0728 2024-01-03 18:17:14,875 - mmseg - INFO - Iter [36700/38400] lr: 2.417e-05, eta: 0:01:33, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1712, decode.loss_grad: 0.0000, loss: 0.1712, grad_norm: 0.0701 2024-01-03 18:17:17,424 - mmseg - INFO - Iter [36750/38400] lr: 2.277e-05, eta: 0:01:30, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1721, decode.loss_grad: 0.0000, loss: 0.1721, grad_norm: 0.0705 2024-01-03 18:17:19,993 - mmseg - INFO - Saving checkpoint at 36800 iterations 2024-01-03 18:17:20,010 - mmseg - INFO - Iter [36800/38400] lr: 2.141e-05, eta: 0:01:28, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1719, decode.loss_grad: 0.0000, loss: 0.1719, grad_norm: 0.0711 2024-01-03 18:17:22,592 - mmseg - INFO - Iter [36850/38400] lr: 2.010e-05, eta: 0:01:25, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1717, decode.loss_grad: 0.0000, loss: 0.1717, grad_norm: 0.0689 2024-01-03 18:17:25,244 - mmseg - INFO - Iter [36900/38400] lr: 1.883e-05, eta: 0:01:22, time: 0.053, data_time: 0.002, memory: 749, decode.loss_depth: 0.1738, decode.loss_grad: 0.0000, loss: 0.1738, grad_norm: 0.0697 2024-01-03 18:17:27,832 - mmseg - INFO - Iter [36950/38400] lr: 1.759e-05, eta: 0:01:19, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1718, decode.loss_grad: 0.0000, loss: 0.1718, grad_norm: 0.0716 2024-01-03 18:17:30,414 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 18:17:30,415 - mmseg - INFO - Iter [37000/38400] lr: 1.640e-05, eta: 0:01:17, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1713, decode.loss_grad: 0.0000, loss: 0.1713, grad_norm: 0.0715 2024-01-03 18:17:32,947 - mmseg - INFO - Iter [37050/38400] lr: 1.526e-05, eta: 0:01:14, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1689, decode.loss_grad: 0.0000, loss: 0.1689, grad_norm: 0.0714 2024-01-03 18:17:35,690 - mmseg - INFO - Iter [37100/38400] lr: 1.415e-05, eta: 0:01:11, time: 0.055, data_time: 0.002, memory: 749, decode.loss_depth: 0.1746, decode.loss_grad: 0.0000, loss: 0.1746, grad_norm: 0.0711 2024-01-03 18:17:38,260 - mmseg - INFO - Iter [37150/38400] lr: 1.308e-05, eta: 0:01:08, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1727, decode.loss_grad: 0.0000, loss: 0.1727, grad_norm: 0.0739 2024-01-03 18:17:40,841 - mmseg - INFO - Iter [37200/38400] lr: 1.206e-05, eta: 0:01:06, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1745, decode.loss_grad: 0.0000, loss: 0.1745, grad_norm: 0.0721 2024-01-03 18:17:43,436 - mmseg - INFO - Iter [37250/38400] lr: 1.108e-05, eta: 0:01:03, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1724, decode.loss_grad: 0.0000, loss: 0.1724, grad_norm: 0.0705 2024-01-03 18:17:45,999 - mmseg - INFO - Iter [37300/38400] lr: 1.014e-05, eta: 0:01:00, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1747, decode.loss_grad: 0.0000, loss: 0.1747, grad_norm: 0.0723 2024-01-03 18:17:48,688 - mmseg - INFO - Iter [37350/38400] lr: 9.236e-06, eta: 0:00:57, time: 0.054, data_time: 0.002, memory: 749, decode.loss_depth: 0.1756, decode.loss_grad: 0.0000, loss: 0.1756, grad_norm: 0.0688 2024-01-03 18:17:51,248 - mmseg - INFO - Iter [37400/38400] lr: 8.379e-06, eta: 0:00:55, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1744, decode.loss_grad: 0.0000, loss: 0.1744, grad_norm: 0.0706 2024-01-03 18:17:53,823 - mmseg - INFO - Iter [37450/38400] lr: 7.563e-06, eta: 0:00:52, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1726, decode.loss_grad: 0.0000, loss: 0.1726, grad_norm: 0.0705 2024-01-03 18:17:56,431 - mmseg - INFO - Iter [37500/38400] lr: 6.789e-06, eta: 0:00:49, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1692, decode.loss_grad: 0.0000, loss: 0.1692, grad_norm: 0.0717 2024-01-03 18:17:59,102 - mmseg - INFO - Iter [37550/38400] lr: 6.057e-06, eta: 0:00:46, time: 0.053, data_time: 0.002, memory: 749, decode.loss_depth: 0.1756, decode.loss_grad: 0.0000, loss: 0.1756, grad_norm: 0.0685 2024-01-03 18:18:01,666 - mmseg - INFO - Iter [37600/38400] lr: 5.366e-06, eta: 0:00:44, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1745, decode.loss_grad: 0.0000, loss: 0.1745, grad_norm: 0.0715 2024-01-03 18:18:04,230 - mmseg - INFO - Iter [37650/38400] lr: 4.717e-06, eta: 0:00:41, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1740, decode.loss_grad: 0.0000, loss: 0.1740, grad_norm: 0.0686 2024-01-03 18:18:06,819 - mmseg - INFO - Iter [37700/38400] lr: 4.110e-06, eta: 0:00:38, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1717, decode.loss_grad: 0.0000, loss: 0.1717, grad_norm: 0.0702 2024-01-03 18:18:09,378 - mmseg - INFO - Iter [37750/38400] lr: 3.545e-06, eta: 0:00:35, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1795, decode.loss_grad: 0.0000, loss: 0.1795, grad_norm: 0.0722 2024-01-03 18:18:11,949 - mmseg - INFO - Iter [37800/38400] lr: 3.021e-06, eta: 0:00:33, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1754, decode.loss_grad: 0.0000, loss: 0.1754, grad_norm: 0.0696 2024-01-03 18:18:14,507 - mmseg - INFO - Iter [37850/38400] lr: 2.540e-06, eta: 0:00:30, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1698, decode.loss_grad: 0.0000, loss: 0.1698, grad_norm: 0.0694 2024-01-03 18:18:19,239 - mmseg - INFO - Iter [37900/38400] lr: 2.100e-06, eta: 0:00:27, time: 0.095, data_time: 0.044, memory: 749, decode.loss_depth: 0.1724, decode.loss_grad: 0.0000, loss: 0.1724, grad_norm: 0.0683 2024-01-03 18:18:21,797 - mmseg - INFO - Iter [37950/38400] lr: 1.702e-06, eta: 0:00:24, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1755, decode.loss_grad: 0.0000, loss: 0.1755, grad_norm: 0.0731 2024-01-03 18:18:24,373 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 18:18:24,374 - mmseg - INFO - Iter [38000/38400] lr: 1.345e-06, eta: 0:00:22, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1748, decode.loss_grad: 0.0000, loss: 0.1748, grad_norm: 0.0730 2024-01-03 18:18:26,969 - mmseg - INFO - Iter [38050/38400] lr: 1.031e-06, eta: 0:00:19, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1746, decode.loss_grad: 0.0000, loss: 0.1746, grad_norm: 0.0743 2024-01-03 18:18:29,695 - mmseg - INFO - Iter [38100/38400] lr: 7.580e-07, eta: 0:00:16, time: 0.055, data_time: 0.002, memory: 749, decode.loss_depth: 0.1712, decode.loss_grad: 0.0000, loss: 0.1712, grad_norm: 0.0692 2024-01-03 18:18:32,291 - mmseg - INFO - Iter [38150/38400] lr: 5.271e-07, eta: 0:00:13, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1705, decode.loss_grad: 0.0000, loss: 0.1705, grad_norm: 0.0703 2024-01-03 18:18:34,822 - mmseg - INFO - Iter [38200/38400] lr: 3.381e-07, eta: 0:00:11, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1711, decode.loss_grad: 0.0000, loss: 0.1711, grad_norm: 0.0697 2024-01-03 18:18:37,396 - mmseg - INFO - Iter [38250/38400] lr: 1.908e-07, eta: 0:00:08, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1705, decode.loss_grad: 0.0000, loss: 0.1705, grad_norm: 0.0710 2024-01-03 18:18:40,167 - mmseg - INFO - Iter [38300/38400] lr: 8.540e-08, eta: 0:00:05, time: 0.055, data_time: 0.002, memory: 749, decode.loss_depth: 0.1732, decode.loss_grad: 0.0000, loss: 0.1732, grad_norm: 0.0726 2024-01-03 18:18:42,741 - mmseg - INFO - Iter [38350/38400] lr: 2.181e-08, eta: 0:00:02, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1719, decode.loss_grad: 0.0000, loss: 0.1719, grad_norm: 0.0708 2024-01-03 18:18:45,300 - mmseg - INFO - Saving checkpoint at 38400 iterations 2024-01-03 18:18:45,314 - mmseg - INFO - Iter [38400/38400] lr: 5.837e-11, eta: 0:00:00, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1772, decode.loss_grad: 0.0000, loss: 0.1772, grad_norm: 0.0728 2024-01-03 18:18:49,930 - mmseg - INFO - Summary: 2024-01-03 18:18:49,931 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.6574 | 0.9019 | 0.9716 | 0.2334 | 0.6695 | 0.0877 | 0.2458 | 18.2099 | 0.2155 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 18:18:49,931 - mmseg - INFO - Iter(val) [82] a1: 0.6574, a2: 0.9019, a3: 0.9716, abs_rel: 0.23335778713226318, rmse: 0.6694918274879456, log_10: 0.08771442621946335, rmse_log: 0.24578171968460083, silog: 18.2099, sq_rel: 0.21549460291862488