2024-01-03 17:11:38,477 - 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 17:11:38,477 - mmseg - INFO - Distributed training: True 2024-01-03 17:11:38,478 - 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.dino', 'gpu_ids': range(0, 1)} 2024-01-03 17:11:43,063 - mmseg - INFO - Loading backbone from vit_base_patch16_224.dino 2024-01-03 17:11:43,085 - 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 17:11:43,159 - mmseg - INFO - Loaded 24231 images. Totally 0 invalid pairs are filtered 2024-01-03 17:11:43,934 - mmseg - INFO - Loaded 654 images. Totally 0 invalid pairs are filtered 2024-01-03 17:11:43,934 - mmseg - INFO - Start running, host: root, work_dir: ./work_dirs/depth_eval/nyu_paper/original/vit_base_patch16_224.dino 2024-01-03 17:11:43,934 - 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 17:11:43,934 - mmseg - INFO - workflow: [('train', 1)], max: 38400 iters 2024-01-03 17:11:43,934 - mmseg - INFO - Checkpoints will be saved to ./work_dirs/depth_eval/nyu_paper/original/vit_base_patch16_224.dino by HardDiskBackend. 2024-01-03 17:12:01,749 - mmseg - INFO - Iter [50/38400] lr: 2.412e-05, eta: 1:12:42, time: 0.114, data_time: 0.004, memory: 749, decode.loss_depth: 0.2326, decode.loss_grad: 0.0000, loss: 0.2326, grad_norm: 0.7585 2024-01-03 17:12:04,259 - mmseg - INFO - Iter [100/38400] lr: 4.363e-05, eta: 0:52:19, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.0850, decode.loss_grad: 0.0000, loss: 0.0850, grad_norm: 0.4415 2024-01-03 17:12:06,801 - mmseg - INFO - Iter [150/38400] lr: 6.314e-05, eta: 0:45:38, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.4144, decode.loss_grad: 0.0000, loss: 0.4144, grad_norm: 0.2995 2024-01-03 17:12:09,338 - mmseg - INFO - Iter [200/38400] lr: 8.265e-05, eta: 0:42:15, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.3335, decode.loss_grad: 0.0000, loss: 0.3335, grad_norm: 0.2897 2024-01-03 17:12:11,917 - mmseg - INFO - Iter [250/38400] lr: 1.022e-04, eta: 0:40:19, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2791, decode.loss_grad: 0.0000, loss: 0.2791, grad_norm: 0.3615 2024-01-03 17:12:14,514 - mmseg - INFO - Iter [300/38400] lr: 1.217e-04, eta: 0:39:03, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.2496, decode.loss_grad: 0.0000, loss: 0.2496, grad_norm: 0.3566 2024-01-03 17:12:17,056 - mmseg - INFO - Iter [350/38400] lr: 1.412e-04, eta: 0:38:02, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2392, decode.loss_grad: 0.0000, loss: 0.2392, grad_norm: 0.3700 2024-01-03 17:12:19,607 - mmseg - INFO - Iter [400/38400] lr: 1.607e-04, eta: 0:37:16, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2195, decode.loss_grad: 0.0000, loss: 0.2195, grad_norm: 0.3491 2024-01-03 17:12:22,148 - mmseg - INFO - Iter [450/38400] lr: 1.802e-04, eta: 0:36:39, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2129, decode.loss_grad: 0.0000, loss: 0.2129, grad_norm: 0.3391 2024-01-03 17:12:24,659 - mmseg - INFO - Iter [500/38400] lr: 1.996e-04, eta: 0:36:07, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.2149, decode.loss_grad: 0.0000, loss: 0.2149, grad_norm: 0.3729 2024-01-03 17:12:27,188 - mmseg - INFO - Iter [550/38400] lr: 2.191e-04, eta: 0:35:42, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2144, decode.loss_grad: 0.0000, loss: 0.2144, grad_norm: 0.3407 2024-01-03 17:12:29,737 - mmseg - INFO - Iter [600/38400] lr: 2.386e-04, eta: 0:35:21, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2032, decode.loss_grad: 0.0000, loss: 0.2032, grad_norm: 0.3414 2024-01-03 17:12:32,294 - mmseg - INFO - Iter [650/38400] lr: 2.581e-04, eta: 0:35:04, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.2059, decode.loss_grad: 0.0000, loss: 0.2059, grad_norm: 0.3332 2024-01-03 17:12:34,810 - mmseg - INFO - Iter [700/38400] lr: 2.775e-04, eta: 0:34:46, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.2020, decode.loss_grad: 0.0000, loss: 0.2020, grad_norm: 0.3590 2024-01-03 17:12:37,353 - mmseg - INFO - Iter [750/38400] lr: 2.970e-04, eta: 0:34:32, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1938, decode.loss_grad: 0.0000, loss: 0.1938, grad_norm: 0.3397 2024-01-03 17:12:39,874 - mmseg - INFO - Iter [800/38400] lr: 3.165e-04, eta: 0:34:19, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.1963, decode.loss_grad: 0.0000, loss: 0.1963, grad_norm: 0.3331 2024-01-03 17:12:42,425 - mmseg - INFO - Iter [850/38400] lr: 3.359e-04, eta: 0:34:08, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1894, decode.loss_grad: 0.0000, loss: 0.1894, grad_norm: 0.3332 2024-01-03 17:12:44,977 - mmseg - INFO - Iter [900/38400] lr: 3.553e-04, eta: 0:33:58, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1902, decode.loss_grad: 0.0000, loss: 0.1902, grad_norm: 0.3236 2024-01-03 17:12:47,503 - mmseg - INFO - Iter [950/38400] lr: 3.748e-04, eta: 0:33:47, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1858, decode.loss_grad: 0.0000, loss: 0.1858, grad_norm: 0.3232 2024-01-03 17:12:50,054 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:12:50,054 - mmseg - INFO - Iter [1000/38400] lr: 3.942e-04, eta: 0:33:39, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1855, decode.loss_grad: 0.0000, loss: 0.1855, grad_norm: 0.3068 2024-01-03 17:12:52,594 - mmseg - INFO - Iter [1050/38400] lr: 4.136e-04, eta: 0:33:30, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1798, decode.loss_grad: 0.0000, loss: 0.1798, grad_norm: 0.3089 2024-01-03 17:12:55,116 - mmseg - INFO - Iter [1100/38400] lr: 4.330e-04, eta: 0:33:22, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.1851, decode.loss_grad: 0.0000, loss: 0.1851, grad_norm: 0.3130 2024-01-03 17:12:57,694 - mmseg - INFO - Iter [1150/38400] lr: 4.524e-04, eta: 0:33:16, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1793, decode.loss_grad: 0.0000, loss: 0.1793, grad_norm: 0.2975 2024-01-03 17:13:00,252 - mmseg - INFO - Iter [1200/38400] lr: 4.718e-04, eta: 0:33:09, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1745, decode.loss_grad: 0.0000, loss: 0.1745, grad_norm: 0.3088 2024-01-03 17:13:02,779 - mmseg - INFO - Iter [1250/38400] lr: 4.911e-04, eta: 0:33:02, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1785, decode.loss_grad: 0.0000, loss: 0.1785, grad_norm: 0.2955 2024-01-03 17:13:05,336 - mmseg - INFO - Iter [1300/38400] lr: 5.105e-04, eta: 0:32:56, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1750, decode.loss_grad: 0.0000, loss: 0.1750, grad_norm: 0.2809 2024-01-03 17:13:07,857 - mmseg - INFO - Iter [1350/38400] lr: 5.298e-04, eta: 0:32:50, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.1746, decode.loss_grad: 0.0000, loss: 0.1746, grad_norm: 0.2870 2024-01-03 17:13:10,386 - mmseg - INFO - Iter [1400/38400] lr: 5.491e-04, eta: 0:32:44, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1735, decode.loss_grad: 0.0000, loss: 0.1735, grad_norm: 0.2765 2024-01-03 17:13:12,929 - mmseg - INFO - Iter [1450/38400] lr: 5.684e-04, eta: 0:32:38, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1706, decode.loss_grad: 0.0000, loss: 0.1706, grad_norm: 0.2829 2024-01-03 17:13:15,466 - mmseg - INFO - Iter [1500/38400] lr: 5.877e-04, eta: 0:32:33, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1674, decode.loss_grad: 0.0000, loss: 0.1674, grad_norm: 0.2676 2024-01-03 17:13:20,087 - mmseg - INFO - Iter [1550/38400] lr: 6.070e-04, eta: 0:33:17, time: 0.092, data_time: 0.043, memory: 749, decode.loss_depth: 0.1675, decode.loss_grad: 0.0000, loss: 0.1675, grad_norm: 0.2753 2024-01-03 17:13:22,608 - mmseg - INFO - Saving checkpoint at 1600 iterations 2024-01-03 17:13:22,625 - mmseg - INFO - Iter [1600/38400] lr: 6.263e-04, eta: 0:33:10, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1654, decode.loss_grad: 0.0000, loss: 0.1654, grad_norm: 0.2551 2024-01-03 17:13:25,186 - mmseg - INFO - Iter [1650/38400] lr: 6.456e-04, eta: 0:33:04, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1627, decode.loss_grad: 0.0000, loss: 0.1627, grad_norm: 0.2643 2024-01-03 17:13:27,715 - mmseg - INFO - Iter [1700/38400] lr: 6.648e-04, eta: 0:32:58, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1617, decode.loss_grad: 0.0000, loss: 0.1617, grad_norm: 0.2599 2024-01-03 17:13:30,235 - mmseg - INFO - Iter [1750/38400] lr: 6.840e-04, eta: 0:32:52, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.1666, decode.loss_grad: 0.0000, loss: 0.1666, grad_norm: 0.2586 2024-01-03 17:13:32,761 - mmseg - INFO - Iter [1800/38400] lr: 7.032e-04, eta: 0:32:46, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1598, decode.loss_grad: 0.0000, loss: 0.1598, grad_norm: 0.2501 2024-01-03 17:13:35,301 - mmseg - INFO - Iter [1850/38400] lr: 7.224e-04, eta: 0:32:40, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1676, decode.loss_grad: 0.0000, loss: 0.1676, grad_norm: 0.2478 2024-01-03 17:13:37,844 - mmseg - INFO - Iter [1900/38400] lr: 7.416e-04, eta: 0:32:35, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1607, decode.loss_grad: 0.0000, loss: 0.1607, grad_norm: 0.2390 2024-01-03 17:13:40,420 - mmseg - INFO - Iter [1950/38400] lr: 7.607e-04, eta: 0:32:30, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1565, decode.loss_grad: 0.0000, loss: 0.1565, grad_norm: 0.2350 2024-01-03 17:13:42,988 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:13:42,988 - mmseg - INFO - Iter [2000/38400] lr: 7.798e-04, eta: 0:32:25, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1611, decode.loss_grad: 0.0000, loss: 0.1611, grad_norm: 0.2396 2024-01-03 17:13:45,507 - mmseg - INFO - Iter [2050/38400] lr: 7.990e-04, eta: 0:32:20, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.1588, decode.loss_grad: 0.0000, loss: 0.1588, grad_norm: 0.2317 2024-01-03 17:13:48,045 - mmseg - INFO - Iter [2100/38400] lr: 8.180e-04, eta: 0:32:15, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1582, decode.loss_grad: 0.0000, loss: 0.1582, grad_norm: 0.2294 2024-01-03 17:13:50,615 - mmseg - INFO - Iter [2150/38400] lr: 8.371e-04, eta: 0:32:11, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1603, decode.loss_grad: 0.0000, loss: 0.1603, grad_norm: 0.2259 2024-01-03 17:13:53,140 - mmseg - INFO - Iter [2200/38400] lr: 8.562e-04, eta: 0:32:06, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1570, decode.loss_grad: 0.0000, loss: 0.1570, grad_norm: 0.2179 2024-01-03 17:13:55,678 - mmseg - INFO - Iter [2250/38400] lr: 8.752e-04, eta: 0:32:01, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1577, decode.loss_grad: 0.0000, loss: 0.1577, grad_norm: 0.2247 2024-01-03 17:13:58,208 - mmseg - INFO - Iter [2300/38400] lr: 8.942e-04, eta: 0:31:57, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1553, decode.loss_grad: 0.0000, loss: 0.1553, grad_norm: 0.2107 2024-01-03 17:14:00,762 - mmseg - INFO - Iter [2350/38400] lr: 9.132e-04, eta: 0:31:52, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1564, decode.loss_grad: 0.0000, loss: 0.1564, grad_norm: 0.2209 2024-01-03 17:14:03,278 - mmseg - INFO - Iter [2400/38400] lr: 9.321e-04, eta: 0:31:48, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.1551, decode.loss_grad: 0.0000, loss: 0.1551, grad_norm: 0.2164 2024-01-03 17:14:05,832 - mmseg - INFO - Iter [2450/38400] lr: 9.511e-04, eta: 0:31:44, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1537, decode.loss_grad: 0.0000, loss: 0.1537, grad_norm: 0.2058 2024-01-03 17:14:08,388 - mmseg - INFO - Iter [2500/38400] lr: 9.700e-04, eta: 0:31:40, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1544, decode.loss_grad: 0.0000, loss: 0.1544, grad_norm: 0.2054 2024-01-03 17:14:10,947 - mmseg - INFO - Iter [2550/38400] lr: 9.889e-04, eta: 0:31:36, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1523, decode.loss_grad: 0.0000, loss: 0.1523, grad_norm: 0.2013 2024-01-03 17:14:13,497 - mmseg - INFO - Iter [2600/38400] lr: 1.008e-03, eta: 0:31:32, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1481, decode.loss_grad: 0.0000, loss: 0.1481, grad_norm: 0.1945 2024-01-03 17:14:16,023 - mmseg - INFO - Iter [2650/38400] lr: 1.027e-03, eta: 0:31:28, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1539, decode.loss_grad: 0.0000, loss: 0.1539, grad_norm: 0.2016 2024-01-03 17:14:18,590 - mmseg - INFO - Iter [2700/38400] lr: 1.045e-03, eta: 0:31:24, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1535, decode.loss_grad: 0.0000, loss: 0.1535, grad_norm: 0.2065 2024-01-03 17:14:21,148 - mmseg - INFO - Iter [2750/38400] lr: 1.064e-03, eta: 0:31:20, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1505, decode.loss_grad: 0.0000, loss: 0.1505, grad_norm: 0.1939 2024-01-03 17:14:23,735 - mmseg - INFO - Iter [2800/38400] lr: 1.083e-03, eta: 0:31:17, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1499, decode.loss_grad: 0.0000, loss: 0.1499, grad_norm: 0.1952 2024-01-03 17:14:26,252 - mmseg - INFO - Iter [2850/38400] lr: 1.102e-03, eta: 0:31:13, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.1472, decode.loss_grad: 0.0000, loss: 0.1472, grad_norm: 0.1843 2024-01-03 17:14:28,774 - mmseg - INFO - Iter [2900/38400] lr: 1.120e-03, eta: 0:31:09, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.1493, decode.loss_grad: 0.0000, loss: 0.1493, grad_norm: 0.1847 2024-01-03 17:14:31,309 - mmseg - INFO - Iter [2950/38400] lr: 1.139e-03, eta: 0:31:05, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1475, decode.loss_grad: 0.0000, loss: 0.1475, grad_norm: 0.1754 2024-01-03 17:14:33,856 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:14:33,856 - mmseg - INFO - Iter [3000/38400] lr: 1.158e-03, eta: 0:31:01, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1455, decode.loss_grad: 0.0000, loss: 0.1455, grad_norm: 0.1730 2024-01-03 17:14:38,474 - mmseg - INFO - Iter [3050/38400] lr: 1.176e-03, eta: 0:31:22, time: 0.092, data_time: 0.043, memory: 749, decode.loss_depth: 0.1450, decode.loss_grad: 0.0000, loss: 0.1450, grad_norm: 0.1722 2024-01-03 17:14:41,056 - mmseg - INFO - Iter [3100/38400] lr: 1.195e-03, eta: 0:31:18, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1453, decode.loss_grad: 0.0000, loss: 0.1453, grad_norm: 0.1715 2024-01-03 17:14:43,617 - mmseg - INFO - Iter [3150/38400] lr: 1.213e-03, eta: 0:31:14, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1438, decode.loss_grad: 0.0000, loss: 0.1438, grad_norm: 0.1771 2024-01-03 17:14:46,185 - mmseg - INFO - Saving checkpoint at 3200 iterations 2024-01-03 17:14:46,196 - mmseg - INFO - Iter [3200/38400] lr: 1.232e-03, eta: 0:31:11, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1422, decode.loss_grad: 0.0000, loss: 0.1422, grad_norm: 0.1650 2024-01-03 17:15:01,288 - mmseg - INFO - Summary: 2024-01-03 17:15:01,289 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.7314 | 0.9448 | 0.9887 | 0.1772 | 0.5766 | 0.0729 | 0.21 | 17.1743 | 0.1364 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:15:01,298 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_3200.pth. 2024-01-03 17:15:01,298 - mmseg - INFO - Best abs_rel is 0.1772 at 3200 iter. 2024-01-03 17:15:01,298 - mmseg - INFO - Iter(val) [82] a1: 0.7314, a2: 0.9448, a3: 0.9887, abs_rel: 0.17719611525535583, rmse: 0.5766065716743469, log_10: 0.07292590290307999, rmse_log: 0.21000857651233673, silog: 17.1743, sq_rel: 0.13639619946479797 2024-01-03 17:15:03,859 - mmseg - INFO - Iter [3250/38400] lr: 1.251e-03, eta: 0:33:51, time: 0.353, data_time: 0.304, memory: 749, decode.loss_depth: 0.1450, decode.loss_grad: 0.0000, loss: 0.1450, grad_norm: 0.1740 2024-01-03 17:15:06,404 - mmseg - INFO - Iter [3300/38400] lr: 1.269e-03, eta: 0:33:44, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1448, decode.loss_grad: 0.0000, loss: 0.1448, grad_norm: 0.1706 2024-01-03 17:15:08,942 - mmseg - INFO - Iter [3350/38400] lr: 1.287e-03, eta: 0:33:37, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1440, decode.loss_grad: 0.0000, loss: 0.1440, grad_norm: 0.1677 2024-01-03 17:15:11,483 - mmseg - INFO - Iter [3400/38400] lr: 1.306e-03, eta: 0:33:31, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1452, decode.loss_grad: 0.0000, loss: 0.1452, grad_norm: 0.1635 2024-01-03 17:15:14,029 - mmseg - INFO - Iter [3450/38400] lr: 1.324e-03, eta: 0:33:25, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1457, decode.loss_grad: 0.0000, loss: 0.1457, grad_norm: 0.1677 2024-01-03 17:15:16,567 - mmseg - INFO - Iter [3500/38400] lr: 1.343e-03, eta: 0:33:19, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1440, decode.loss_grad: 0.0000, loss: 0.1440, grad_norm: 0.1609 2024-01-03 17:15:19,103 - mmseg - INFO - Iter [3550/38400] lr: 1.361e-03, eta: 0:33:13, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1439, decode.loss_grad: 0.0000, loss: 0.1439, grad_norm: 0.1586 2024-01-03 17:15:21,670 - mmseg - INFO - Iter [3600/38400] lr: 1.379e-03, eta: 0:33:07, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1433, decode.loss_grad: 0.0000, loss: 0.1433, grad_norm: 0.1526 2024-01-03 17:15:24,230 - mmseg - INFO - Iter [3650/38400] lr: 1.397e-03, eta: 0:33:01, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1374, decode.loss_grad: 0.0000, loss: 0.1374, grad_norm: 0.1499 2024-01-03 17:15:26,788 - mmseg - INFO - Iter [3700/38400] lr: 1.416e-03, eta: 0:32:56, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1444, decode.loss_grad: 0.0000, loss: 0.1444, grad_norm: 0.1564 2024-01-03 17:15:29,338 - mmseg - INFO - Iter [3750/38400] lr: 1.434e-03, eta: 0:32:50, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1407, decode.loss_grad: 0.0000, loss: 0.1407, grad_norm: 0.1557 2024-01-03 17:15:31,872 - mmseg - INFO - Iter [3800/38400] lr: 1.452e-03, eta: 0:32:44, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1443, decode.loss_grad: 0.0000, loss: 0.1443, grad_norm: 0.1512 2024-01-03 17:15:34,452 - mmseg - INFO - Iter [3850/38400] lr: 1.470e-03, eta: 0:32:39, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1433, decode.loss_grad: 0.0000, loss: 0.1433, grad_norm: 0.1517 2024-01-03 17:15:37,014 - mmseg - INFO - Iter [3900/38400] lr: 1.488e-03, eta: 0:32:34, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1404, decode.loss_grad: 0.0000, loss: 0.1404, grad_norm: 0.1462 2024-01-03 17:15:39,581 - mmseg - INFO - Iter [3950/38400] lr: 1.506e-03, eta: 0:32:29, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1395, decode.loss_grad: 0.0000, loss: 0.1395, grad_norm: 0.1397 2024-01-03 17:15:42,153 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:15:42,153 - mmseg - INFO - Iter [4000/38400] lr: 1.524e-03, eta: 0:32:24, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1385, decode.loss_grad: 0.0000, loss: 0.1385, grad_norm: 0.1400 2024-01-03 17:15:44,708 - mmseg - INFO - Iter [4050/38400] lr: 1.542e-03, eta: 0:32:19, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1384, decode.loss_grad: 0.0000, loss: 0.1384, grad_norm: 0.1361 2024-01-03 17:15:47,297 - mmseg - INFO - Iter [4100/38400] lr: 1.560e-03, eta: 0:32:14, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1384, decode.loss_grad: 0.0000, loss: 0.1384, grad_norm: 0.1369 2024-01-03 17:15:49,826 - mmseg - INFO - Iter [4150/38400] lr: 1.578e-03, eta: 0:32:09, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1414, decode.loss_grad: 0.0000, loss: 0.1414, grad_norm: 0.1378 2024-01-03 17:15:52,412 - mmseg - INFO - Iter [4200/38400] lr: 1.596e-03, eta: 0:32:04, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1409, decode.loss_grad: 0.0000, loss: 0.1409, grad_norm: 0.1342 2024-01-03 17:15:54,966 - mmseg - INFO - Iter [4250/38400] lr: 1.613e-03, eta: 0:31:59, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1367, decode.loss_grad: 0.0000, loss: 0.1367, grad_norm: 0.1380 2024-01-03 17:15:57,515 - mmseg - INFO - Iter [4300/38400] lr: 1.631e-03, eta: 0:31:54, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1397, decode.loss_grad: 0.0000, loss: 0.1397, grad_norm: 0.1367 2024-01-03 17:16:00,078 - mmseg - INFO - Iter [4350/38400] lr: 1.649e-03, eta: 0:31:49, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1366, decode.loss_grad: 0.0000, loss: 0.1366, grad_norm: 0.1266 2024-01-03 17:16:02,632 - mmseg - INFO - Iter [4400/38400] lr: 1.666e-03, eta: 0:31:45, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1418, decode.loss_grad: 0.0000, loss: 0.1418, grad_norm: 0.1295 2024-01-03 17:16:05,178 - mmseg - INFO - Iter [4450/38400] lr: 1.684e-03, eta: 0:31:40, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1401, decode.loss_grad: 0.0000, loss: 0.1401, grad_norm: 0.1256 2024-01-03 17:16:07,760 - mmseg - INFO - Iter [4500/38400] lr: 1.702e-03, eta: 0:31:36, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1382, decode.loss_grad: 0.0000, loss: 0.1382, grad_norm: 0.1233 2024-01-03 17:16:12,389 - mmseg - INFO - Iter [4550/38400] lr: 1.719e-03, eta: 0:31:46, time: 0.093, data_time: 0.043, memory: 749, decode.loss_depth: 0.1345, decode.loss_grad: 0.0000, loss: 0.1345, grad_norm: 0.1237 2024-01-03 17:16:14,948 - mmseg - INFO - Iter [4600/38400] lr: 1.737e-03, eta: 0:31:42, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1347, decode.loss_grad: 0.0000, loss: 0.1347, grad_norm: 0.1232 2024-01-03 17:16:17,525 - mmseg - INFO - Iter [4650/38400] lr: 1.754e-03, eta: 0:31:37, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1371, decode.loss_grad: 0.0000, loss: 0.1371, grad_norm: 0.1208 2024-01-03 17:16:20,133 - mmseg - INFO - Iter [4700/38400] lr: 1.772e-03, eta: 0:31:33, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1377, decode.loss_grad: 0.0000, loss: 0.1377, grad_norm: 0.1221 2024-01-03 17:16:22,718 - mmseg - INFO - Iter [4750/38400] lr: 1.789e-03, eta: 0:31:28, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1363, decode.loss_grad: 0.0000, loss: 0.1363, grad_norm: 0.1195 2024-01-03 17:16:25,280 - mmseg - INFO - Saving checkpoint at 4800 iterations 2024-01-03 17:16:25,292 - mmseg - INFO - Iter [4800/38400] lr: 1.806e-03, eta: 0:31:24, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1353, decode.loss_grad: 0.0000, loss: 0.1353, grad_norm: 0.1200 2024-01-03 17:16:27,884 - mmseg - INFO - Iter [4850/38400] lr: 1.824e-03, eta: 0:31:20, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1367, decode.loss_grad: 0.0000, loss: 0.1367, grad_norm: 0.1223 2024-01-03 17:16:30,408 - mmseg - INFO - Iter [4900/38400] lr: 1.841e-03, eta: 0:31:15, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.1353, decode.loss_grad: 0.0000, loss: 0.1353, grad_norm: 0.1173 2024-01-03 17:16:32,984 - mmseg - INFO - Iter [4950/38400] lr: 1.858e-03, eta: 0:31:11, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1355, decode.loss_grad: 0.0000, loss: 0.1355, grad_norm: 0.1206 2024-01-03 17:16:35,531 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:16:35,531 - mmseg - INFO - Iter [5000/38400] lr: 1.875e-03, eta: 0:31:06, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1338, decode.loss_grad: 0.0000, loss: 0.1338, grad_norm: 0.1151 2024-01-03 17:16:38,083 - mmseg - INFO - Iter [5050/38400] lr: 1.892e-03, eta: 0:31:02, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1302, decode.loss_grad: 0.0000, loss: 0.1302, grad_norm: 0.1116 2024-01-03 17:16:40,640 - mmseg - INFO - Iter [5100/38400] lr: 1.909e-03, eta: 0:30:58, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1356, decode.loss_grad: 0.0000, loss: 0.1356, grad_norm: 0.1159 2024-01-03 17:16:43,201 - mmseg - INFO - Iter [5150/38400] lr: 1.926e-03, eta: 0:30:53, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1341, decode.loss_grad: 0.0000, loss: 0.1341, grad_norm: 0.1127 2024-01-03 17:16:45,739 - mmseg - INFO - Iter [5200/38400] lr: 1.943e-03, eta: 0:30:49, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1363, decode.loss_grad: 0.0000, loss: 0.1363, grad_norm: 0.1089 2024-01-03 17:16:48,284 - mmseg - INFO - Iter [5250/38400] lr: 1.960e-03, eta: 0:30:45, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1340, decode.loss_grad: 0.0000, loss: 0.1340, grad_norm: 0.1083 2024-01-03 17:16:50,821 - mmseg - INFO - Iter [5300/38400] lr: 1.977e-03, eta: 0:30:40, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1353, decode.loss_grad: 0.0000, loss: 0.1353, grad_norm: 0.1060 2024-01-03 17:16:53,399 - mmseg - INFO - Iter [5350/38400] lr: 1.994e-03, eta: 0:30:36, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1320, decode.loss_grad: 0.0000, loss: 0.1320, grad_norm: 0.1065 2024-01-03 17:16:55,942 - mmseg - INFO - Iter [5400/38400] lr: 2.011e-03, eta: 0:30:32, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1341, decode.loss_grad: 0.0000, loss: 0.1341, grad_norm: 0.1046 2024-01-03 17:16:58,499 - mmseg - INFO - Iter [5450/38400] lr: 2.027e-03, eta: 0:30:28, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1322, decode.loss_grad: 0.0000, loss: 0.1322, grad_norm: 0.1098 2024-01-03 17:17:01,038 - mmseg - INFO - Iter [5500/38400] lr: 2.044e-03, eta: 0:30:24, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1338, decode.loss_grad: 0.0000, loss: 0.1338, grad_norm: 0.1071 2024-01-03 17:17:03,577 - mmseg - INFO - Iter [5550/38400] lr: 2.060e-03, eta: 0:30:20, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1335, decode.loss_grad: 0.0000, loss: 0.1335, grad_norm: 0.1016 2024-01-03 17:17:06,131 - mmseg - INFO - Iter [5600/38400] lr: 2.077e-03, eta: 0:30:16, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1318, decode.loss_grad: 0.0000, loss: 0.1318, grad_norm: 0.1032 2024-01-03 17:17:08,661 - mmseg - INFO - Iter [5650/38400] lr: 2.094e-03, eta: 0:30:11, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1351, decode.loss_grad: 0.0000, loss: 0.1351, grad_norm: 0.1074 2024-01-03 17:17:11,222 - mmseg - INFO - Iter [5700/38400] lr: 2.110e-03, eta: 0:30:07, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1334, decode.loss_grad: 0.0000, loss: 0.1334, grad_norm: 0.0964 2024-01-03 17:17:13,751 - mmseg - INFO - Iter [5750/38400] lr: 2.126e-03, eta: 0:30:03, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1331, decode.loss_grad: 0.0000, loss: 0.1331, grad_norm: 0.0971 2024-01-03 17:17:16,286 - mmseg - INFO - Iter [5800/38400] lr: 2.143e-03, eta: 0:29:59, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1321, decode.loss_grad: 0.0000, loss: 0.1321, grad_norm: 0.0973 2024-01-03 17:17:18,860 - mmseg - INFO - Iter [5850/38400] lr: 2.159e-03, eta: 0:29:55, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1336, decode.loss_grad: 0.0000, loss: 0.1336, grad_norm: 0.0971 2024-01-03 17:17:21,428 - mmseg - INFO - Iter [5900/38400] lr: 2.175e-03, eta: 0:29:52, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1326, decode.loss_grad: 0.0000, loss: 0.1326, grad_norm: 0.0981 2024-01-03 17:17:23,965 - mmseg - INFO - Iter [5950/38400] lr: 2.191e-03, eta: 0:29:48, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1298, decode.loss_grad: 0.0000, loss: 0.1298, grad_norm: 0.0945 2024-01-03 17:17:26,523 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:17:26,524 - mmseg - INFO - Iter [6000/38400] lr: 2.208e-03, eta: 0:29:44, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1326, decode.loss_grad: 0.0000, loss: 0.1326, grad_norm: 0.0956 2024-01-03 17:17:29,076 - mmseg - INFO - Iter [6050/38400] lr: 2.224e-03, eta: 0:29:40, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1304, decode.loss_grad: 0.0000, loss: 0.1304, grad_norm: 0.0931 2024-01-03 17:17:33,711 - mmseg - INFO - Iter [6100/38400] lr: 2.240e-03, eta: 0:29:47, time: 0.093, data_time: 0.043, memory: 749, decode.loss_depth: 0.1277, decode.loss_grad: 0.0000, loss: 0.1277, grad_norm: 0.0896 2024-01-03 17:17:36,285 - mmseg - INFO - Iter [6150/38400] lr: 2.256e-03, eta: 0:29:44, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1294, decode.loss_grad: 0.0000, loss: 0.1294, grad_norm: 0.0890 2024-01-03 17:17:38,850 - mmseg - INFO - Iter [6200/38400] lr: 2.272e-03, eta: 0:29:40, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1258, decode.loss_grad: 0.0000, loss: 0.1258, grad_norm: 0.0890 2024-01-03 17:17:41,412 - mmseg - INFO - Iter [6250/38400] lr: 2.287e-03, eta: 0:29:36, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1279, decode.loss_grad: 0.0000, loss: 0.1279, grad_norm: 0.0878 2024-01-03 17:17:43,991 - mmseg - INFO - Iter [6300/38400] lr: 2.303e-03, eta: 0:29:32, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1274, decode.loss_grad: 0.0000, loss: 0.1274, grad_norm: 0.0897 2024-01-03 17:17:46,538 - mmseg - INFO - Iter [6350/38400] lr: 2.319e-03, eta: 0:29:28, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1295, decode.loss_grad: 0.0000, loss: 0.1295, grad_norm: 0.0901 2024-01-03 17:17:49,091 - mmseg - INFO - Saving checkpoint at 6400 iterations 2024-01-03 17:17:49,107 - mmseg - INFO - Iter [6400/38400] lr: 2.335e-03, eta: 0:29:25, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1292, decode.loss_grad: 0.0000, loss: 0.1292, grad_norm: 0.0856 2024-01-03 17:17:53,746 - mmseg - INFO - Summary: 2024-01-03 17:17:53,747 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.7352 | 0.9458 | 0.9881 | 0.1754 | 0.5806 | 0.0725 | 0.2094 | 17.1601 | 0.1382 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:17:53,748 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/original/vit_base_patch16_224.dino/best_abs_rel_iter_3200.pth was removed 2024-01-03 17:17:53,759 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_6400.pth. 2024-01-03 17:17:53,759 - mmseg - INFO - Best abs_rel is 0.1754 at 6400 iter. 2024-01-03 17:17:53,759 - mmseg - INFO - Iter(val) [82] a1: 0.7352, a2: 0.9458, a3: 0.9881, abs_rel: 0.17542672157287598, rmse: 0.5806223750114441, log_10: 0.07251543551683426, rmse_log: 0.2093828022480011, silog: 17.1601, sq_rel: 0.13821901381015778 2024-01-03 17:17:56,301 - mmseg - INFO - Iter [6450/38400] lr: 2.350e-03, eta: 0:29:44, time: 0.144, data_time: 0.095, memory: 749, decode.loss_depth: 0.1283, decode.loss_grad: 0.0000, loss: 0.1283, grad_norm: 0.0892 2024-01-03 17:17:58,849 - mmseg - INFO - Iter [6500/38400] lr: 2.366e-03, eta: 0:29:40, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1286, decode.loss_grad: 0.0000, loss: 0.1286, grad_norm: 0.0870 2024-01-03 17:18:01,407 - mmseg - INFO - Iter [6550/38400] lr: 2.381e-03, eta: 0:29:36, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1287, decode.loss_grad: 0.0000, loss: 0.1287, grad_norm: 0.0845 2024-01-03 17:18:03,959 - mmseg - INFO - Iter [6600/38400] lr: 2.397e-03, eta: 0:29:32, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1305, decode.loss_grad: 0.0000, loss: 0.1305, grad_norm: 0.0899 2024-01-03 17:18:06,517 - mmseg - INFO - Iter [6650/38400] lr: 2.412e-03, eta: 0:29:28, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1321, decode.loss_grad: 0.0000, loss: 0.1321, grad_norm: 0.0870 2024-01-03 17:18:09,061 - mmseg - INFO - Iter [6700/38400] lr: 2.427e-03, eta: 0:29:24, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1303, decode.loss_grad: 0.0000, loss: 0.1303, grad_norm: 0.0841 2024-01-03 17:18:11,626 - mmseg - INFO - Iter [6750/38400] lr: 2.443e-03, eta: 0:29:20, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1278, decode.loss_grad: 0.0000, loss: 0.1278, grad_norm: 0.0804 2024-01-03 17:18:14,212 - mmseg - INFO - Iter [6800/38400] lr: 2.458e-03, eta: 0:29:17, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1245, decode.loss_grad: 0.0000, loss: 0.1245, grad_norm: 0.0806 2024-01-03 17:18:16,762 - mmseg - INFO - Iter [6850/38400] lr: 2.473e-03, eta: 0:29:13, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1285, decode.loss_grad: 0.0000, loss: 0.1285, grad_norm: 0.0825 2024-01-03 17:18:19,327 - mmseg - INFO - Iter [6900/38400] lr: 2.488e-03, eta: 0:29:09, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1285, decode.loss_grad: 0.0000, loss: 0.1285, grad_norm: 0.0773 2024-01-03 17:18:21,891 - mmseg - INFO - Iter [6950/38400] lr: 2.503e-03, eta: 0:29:05, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1280, decode.loss_grad: 0.0000, loss: 0.1280, grad_norm: 0.0811 2024-01-03 17:18:24,453 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:18:24,453 - mmseg - INFO - Iter [7000/38400] lr: 2.518e-03, eta: 0:29:02, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1276, decode.loss_grad: 0.0000, loss: 0.1276, grad_norm: 0.0791 2024-01-03 17:18:27,004 - mmseg - INFO - Iter [7050/38400] lr: 2.533e-03, eta: 0:28:58, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1323, decode.loss_grad: 0.0000, loss: 0.1323, grad_norm: 0.0800 2024-01-03 17:18:29,547 - mmseg - INFO - Iter [7100/38400] lr: 2.548e-03, eta: 0:28:54, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1300, decode.loss_grad: 0.0000, loss: 0.1300, grad_norm: 0.0812 2024-01-03 17:18:32,108 - mmseg - INFO - Iter [7150/38400] lr: 2.563e-03, eta: 0:28:50, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1280, decode.loss_grad: 0.0000, loss: 0.1280, grad_norm: 0.0764 2024-01-03 17:18:34,643 - mmseg - INFO - Iter [7200/38400] lr: 2.577e-03, eta: 0:28:47, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1297, decode.loss_grad: 0.0000, loss: 0.1297, grad_norm: 0.0784 2024-01-03 17:18:37,190 - mmseg - INFO - Iter [7250/38400] lr: 2.592e-03, eta: 0:28:43, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1335, decode.loss_grad: 0.0000, loss: 0.1335, grad_norm: 0.0808 2024-01-03 17:18:39,729 - mmseg - INFO - Iter [7300/38400] lr: 2.606e-03, eta: 0:28:39, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1293, decode.loss_grad: 0.0000, loss: 0.1293, grad_norm: 0.0747 2024-01-03 17:18:42,293 - mmseg - INFO - Iter [7350/38400] lr: 2.621e-03, eta: 0:28:36, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1284, decode.loss_grad: 0.0000, loss: 0.1284, grad_norm: 0.0749 2024-01-03 17:18:44,835 - mmseg - INFO - Iter [7400/38400] lr: 2.635e-03, eta: 0:28:32, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1270, decode.loss_grad: 0.0000, loss: 0.1270, grad_norm: 0.0722 2024-01-03 17:18:47,383 - mmseg - INFO - Iter [7450/38400] lr: 2.650e-03, eta: 0:28:28, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1294, decode.loss_grad: 0.0000, loss: 0.1294, grad_norm: 0.0750 2024-01-03 17:18:49,940 - mmseg - INFO - Iter [7500/38400] lr: 2.664e-03, eta: 0:28:25, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1276, decode.loss_grad: 0.0000, loss: 0.1276, grad_norm: 0.0757 2024-01-03 17:18:52,475 - mmseg - INFO - Iter [7550/38400] lr: 2.678e-03, eta: 0:28:21, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1279, decode.loss_grad: 0.0000, loss: 0.1279, grad_norm: 0.0741 2024-01-03 17:18:57,125 - mmseg - INFO - Iter [7600/38400] lr: 2.693e-03, eta: 0:28:26, time: 0.093, data_time: 0.043, memory: 749, decode.loss_depth: 0.1262, decode.loss_grad: 0.0000, loss: 0.1262, grad_norm: 0.0701 2024-01-03 17:18:59,686 - mmseg - INFO - Iter [7650/38400] lr: 2.707e-03, eta: 0:28:22, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1206, decode.loss_grad: 0.0000, loss: 0.1206, grad_norm: 0.0714 2024-01-03 17:19:02,240 - mmseg - INFO - Iter [7700/38400] lr: 2.721e-03, eta: 0:28:19, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1245, decode.loss_grad: 0.0000, loss: 0.1245, grad_norm: 0.0683 2024-01-03 17:19:04,790 - mmseg - INFO - Iter [7750/38400] lr: 2.735e-03, eta: 0:28:15, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1233, decode.loss_grad: 0.0000, loss: 0.1233, grad_norm: 0.0681 2024-01-03 17:19:07,328 - mmseg - INFO - Iter [7800/38400] lr: 2.749e-03, eta: 0:28:11, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1243, decode.loss_grad: 0.0000, loss: 0.1243, grad_norm: 0.0678 2024-01-03 17:19:09,869 - mmseg - INFO - Iter [7850/38400] lr: 2.762e-03, eta: 0:28:08, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1254, decode.loss_grad: 0.0000, loss: 0.1254, grad_norm: 0.0689 2024-01-03 17:19:12,446 - mmseg - INFO - Iter [7900/38400] lr: 2.776e-03, eta: 0:28:04, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1283, decode.loss_grad: 0.0000, loss: 0.1283, grad_norm: 0.0716 2024-01-03 17:19:15,012 - mmseg - INFO - Iter [7950/38400] lr: 2.790e-03, eta: 0:28:01, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1294, decode.loss_grad: 0.0000, loss: 0.1294, grad_norm: 0.0707 2024-01-03 17:19:17,580 - mmseg - INFO - Saving checkpoint at 8000 iterations 2024-01-03 17:19:17,592 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:19:17,593 - mmseg - INFO - Iter [8000/38400] lr: 2.804e-03, eta: 0:27:57, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1247, decode.loss_grad: 0.0000, loss: 0.1247, grad_norm: 0.0697 2024-01-03 17:19:20,127 - mmseg - INFO - Iter [8050/38400] lr: 2.817e-03, eta: 0:27:54, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1235, decode.loss_grad: 0.0000, loss: 0.1235, grad_norm: 0.0675 2024-01-03 17:19:22,701 - mmseg - INFO - Iter [8100/38400] lr: 2.831e-03, eta: 0:27:50, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1254, decode.loss_grad: 0.0000, loss: 0.1254, grad_norm: 0.0645 2024-01-03 17:19:25,263 - mmseg - INFO - Iter [8150/38400] lr: 2.844e-03, eta: 0:27:47, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1248, decode.loss_grad: 0.0000, loss: 0.1248, grad_norm: 0.0683 2024-01-03 17:19:27,795 - mmseg - INFO - Iter [8200/38400] lr: 2.857e-03, eta: 0:27:43, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1262, decode.loss_grad: 0.0000, loss: 0.1262, grad_norm: 0.0644 2024-01-03 17:19:30,330 - mmseg - INFO - Iter [8250/38400] lr: 2.871e-03, eta: 0:27:40, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1242, decode.loss_grad: 0.0000, loss: 0.1242, grad_norm: 0.0657 2024-01-03 17:19:32,871 - mmseg - INFO - Iter [8300/38400] lr: 2.884e-03, eta: 0:27:36, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1259, decode.loss_grad: 0.0000, loss: 0.1259, grad_norm: 0.0653 2024-01-03 17:19:35,429 - mmseg - INFO - Iter [8350/38400] lr: 2.897e-03, eta: 0:27:33, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1243, decode.loss_grad: 0.0000, loss: 0.1243, grad_norm: 0.0656 2024-01-03 17:19:37,995 - mmseg - INFO - Iter [8400/38400] lr: 2.910e-03, eta: 0:27:29, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1251, decode.loss_grad: 0.0000, loss: 0.1251, grad_norm: 0.0654 2024-01-03 17:19:40,561 - mmseg - INFO - Iter [8450/38400] lr: 2.923e-03, eta: 0:27:26, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1225, decode.loss_grad: 0.0000, loss: 0.1225, grad_norm: 0.0631 2024-01-03 17:19:43,112 - mmseg - INFO - Iter [8500/38400] lr: 2.936e-03, eta: 0:27:22, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1267, decode.loss_grad: 0.0000, loss: 0.1267, grad_norm: 0.0652 2024-01-03 17:19:45,799 - mmseg - INFO - Iter [8550/38400] lr: 2.949e-03, eta: 0:27:19, time: 0.054, data_time: 0.002, memory: 749, decode.loss_depth: 0.1281, decode.loss_grad: 0.0000, loss: 0.1281, grad_norm: 0.0660 2024-01-03 17:19:48,382 - mmseg - INFO - Iter [8600/38400] lr: 2.962e-03, eta: 0:27:16, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1252, decode.loss_grad: 0.0000, loss: 0.1252, grad_norm: 0.0619 2024-01-03 17:19:50,942 - mmseg - INFO - Iter [8650/38400] lr: 2.974e-03, eta: 0:27:13, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1243, decode.loss_grad: 0.0000, loss: 0.1243, grad_norm: 0.0623 2024-01-03 17:19:53,506 - mmseg - INFO - Iter [8700/38400] lr: 2.987e-03, eta: 0:27:09, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1260, decode.loss_grad: 0.0000, loss: 0.1260, grad_norm: 0.0608 2024-01-03 17:19:56,048 - mmseg - INFO - Iter [8750/38400] lr: 3.000e-03, eta: 0:27:06, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1238, decode.loss_grad: 0.0000, loss: 0.1238, grad_norm: 0.0607 2024-01-03 17:19:58,566 - mmseg - INFO - Iter [8800/38400] lr: 3.012e-03, eta: 0:27:02, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.1255, decode.loss_grad: 0.0000, loss: 0.1255, grad_norm: 0.0629 2024-01-03 17:20:01,125 - mmseg - INFO - Iter [8850/38400] lr: 3.025e-03, eta: 0:26:59, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1219, decode.loss_grad: 0.0000, loss: 0.1219, grad_norm: 0.0602 2024-01-03 17:20:03,660 - mmseg - INFO - Iter [8900/38400] lr: 3.037e-03, eta: 0:26:56, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1224, decode.loss_grad: 0.0000, loss: 0.1224, grad_norm: 0.0594 2024-01-03 17:20:06,222 - mmseg - INFO - Iter [8950/38400] lr: 3.049e-03, eta: 0:26:52, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1222, decode.loss_grad: 0.0000, loss: 0.1222, grad_norm: 0.0598 2024-01-03 17:20:08,792 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:20:08,793 - mmseg - INFO - Iter [9000/38400] lr: 3.061e-03, eta: 0:26:49, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1238, decode.loss_grad: 0.0000, loss: 0.1238, grad_norm: 0.0577 2024-01-03 17:20:11,338 - mmseg - INFO - Iter [9050/38400] lr: 3.073e-03, eta: 0:26:46, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1230, decode.loss_grad: 0.0000, loss: 0.1230, grad_norm: 0.0569 2024-01-03 17:20:15,974 - mmseg - INFO - Iter [9100/38400] lr: 3.085e-03, eta: 0:26:49, time: 0.093, data_time: 0.043, memory: 749, decode.loss_depth: 0.1223, decode.loss_grad: 0.0000, loss: 0.1223, grad_norm: 0.0602 2024-01-03 17:20:18,559 - mmseg - INFO - Iter [9150/38400] lr: 3.097e-03, eta: 0:26:46, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1235, decode.loss_grad: 0.0000, loss: 0.1235, grad_norm: 0.0585 2024-01-03 17:20:21,137 - mmseg - INFO - Iter [9200/38400] lr: 3.109e-03, eta: 0:26:42, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1186, decode.loss_grad: 0.0000, loss: 0.1186, grad_norm: 0.0555 2024-01-03 17:20:23,669 - mmseg - INFO - Iter [9250/38400] lr: 3.121e-03, eta: 0:26:39, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1209, decode.loss_grad: 0.0000, loss: 0.1209, grad_norm: 0.0568 2024-01-03 17:20:26,221 - mmseg - INFO - Iter [9300/38400] lr: 3.133e-03, eta: 0:26:36, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1218, decode.loss_grad: 0.0000, loss: 0.1218, grad_norm: 0.0581 2024-01-03 17:20:28,760 - mmseg - INFO - Iter [9350/38400] lr: 3.145e-03, eta: 0:26:32, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1198, decode.loss_grad: 0.0000, loss: 0.1198, grad_norm: 0.0556 2024-01-03 17:20:31,285 - mmseg - INFO - Iter [9400/38400] lr: 3.156e-03, eta: 0:26:29, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.1227, decode.loss_grad: 0.0000, loss: 0.1227, grad_norm: 0.0534 2024-01-03 17:20:33,808 - mmseg - INFO - Iter [9450/38400] lr: 3.168e-03, eta: 0:26:26, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.1224, decode.loss_grad: 0.0000, loss: 0.1224, grad_norm: 0.0555 2024-01-03 17:20:36,372 - mmseg - INFO - Iter [9500/38400] lr: 3.179e-03, eta: 0:26:22, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1230, decode.loss_grad: 0.0000, loss: 0.1230, grad_norm: 0.0566 2024-01-03 17:20:38,977 - mmseg - INFO - Iter [9550/38400] lr: 3.190e-03, eta: 0:26:19, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1227, decode.loss_grad: 0.0000, loss: 0.1227, grad_norm: 0.0582 2024-01-03 17:20:41,507 - mmseg - INFO - Saving checkpoint at 9600 iterations 2024-01-03 17:20:41,526 - mmseg - INFO - Iter [9600/38400] lr: 3.202e-03, eta: 0:26:16, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1226, decode.loss_grad: 0.0000, loss: 0.1226, grad_norm: 0.0544 2024-01-03 17:20:46,114 - mmseg - INFO - Summary: 2024-01-03 17:20:46,114 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.7315 | 0.9451 | 0.9882 | 0.1744 | 0.5821 | 0.073 | 0.2109 | 17.4382 | 0.1373 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:20:46,116 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/original/vit_base_patch16_224.dino/best_abs_rel_iter_6400.pth was removed 2024-01-03 17:20:46,125 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_9600.pth. 2024-01-03 17:20:46,125 - mmseg - INFO - Best abs_rel is 0.1744 at 9600 iter. 2024-01-03 17:20:46,126 - mmseg - INFO - Iter(val) [82] a1: 0.7315, a2: 0.9451, a3: 0.9882, abs_rel: 0.17436635494232178, rmse: 0.5820732712745667, log_10: 0.07300756871700287, rmse_log: 0.21090668439865112, silog: 17.4382, sq_rel: 0.13727807998657227 2024-01-03 17:20:48,675 - mmseg - INFO - Iter [9650/38400] lr: 3.213e-03, eta: 0:26:26, time: 0.143, data_time: 0.094, memory: 749, decode.loss_depth: 0.1212, decode.loss_grad: 0.0000, loss: 0.1212, grad_norm: 0.0542 2024-01-03 17:20:51,228 - mmseg - INFO - Iter [9700/38400] lr: 3.224e-03, eta: 0:26:23, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1233, decode.loss_grad: 0.0000, loss: 0.1233, grad_norm: 0.0547 2024-01-03 17:20:53,803 - mmseg - INFO - Iter [9750/38400] lr: 3.235e-03, eta: 0:26:20, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1231, decode.loss_grad: 0.0000, loss: 0.1231, grad_norm: 0.0516 2024-01-03 17:20:56,362 - mmseg - INFO - Iter [9800/38400] lr: 3.246e-03, eta: 0:26:16, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1209, decode.loss_grad: 0.0000, loss: 0.1209, grad_norm: 0.0527 2024-01-03 17:20:58,909 - mmseg - INFO - Iter [9850/38400] lr: 3.257e-03, eta: 0:26:13, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1255, decode.loss_grad: 0.0000, loss: 0.1255, grad_norm: 0.0534 2024-01-03 17:21:01,473 - mmseg - INFO - Iter [9900/38400] lr: 3.268e-03, eta: 0:26:10, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1183, decode.loss_grad: 0.0000, loss: 0.1183, grad_norm: 0.0511 2024-01-03 17:21:04,058 - mmseg - INFO - Iter [9950/38400] lr: 3.278e-03, eta: 0:26:06, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1232, decode.loss_grad: 0.0000, loss: 0.1232, grad_norm: 0.0520 2024-01-03 17:21:06,621 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:21:06,621 - mmseg - INFO - Iter [10000/38400] lr: 3.289e-03, eta: 0:26:03, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1228, decode.loss_grad: 0.0000, loss: 0.1228, grad_norm: 0.0526 2024-01-03 17:21:09,287 - mmseg - INFO - Iter [10050/38400] lr: 3.300e-03, eta: 0:26:00, time: 0.053, data_time: 0.002, memory: 749, decode.loss_depth: 0.1232, decode.loss_grad: 0.0000, loss: 0.1232, grad_norm: 0.0517 2024-01-03 17:21:11,838 - mmseg - INFO - Iter [10100/38400] lr: 3.310e-03, eta: 0:25:57, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1196, decode.loss_grad: 0.0000, loss: 0.1196, grad_norm: 0.0487 2024-01-03 17:21:14,383 - mmseg - INFO - Iter [10150/38400] lr: 3.320e-03, eta: 0:25:53, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1206, decode.loss_grad: 0.0000, loss: 0.1206, grad_norm: 0.0518 2024-01-03 17:21:16,940 - mmseg - INFO - Iter [10200/38400] lr: 3.331e-03, eta: 0:25:50, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1200, decode.loss_grad: 0.0000, loss: 0.1200, grad_norm: 0.0502 2024-01-03 17:21:19,505 - mmseg - INFO - Iter [10250/38400] lr: 3.341e-03, eta: 0:25:47, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1231, decode.loss_grad: 0.0000, loss: 0.1231, grad_norm: 0.0493 2024-01-03 17:21:22,066 - mmseg - INFO - Iter [10300/38400] lr: 3.351e-03, eta: 0:25:44, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1205, decode.loss_grad: 0.0000, loss: 0.1205, grad_norm: 0.0491 2024-01-03 17:21:24,608 - mmseg - INFO - Iter [10350/38400] lr: 3.361e-03, eta: 0:25:40, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1225, decode.loss_grad: 0.0000, loss: 0.1225, grad_norm: 0.0494 2024-01-03 17:21:27,183 - mmseg - INFO - Iter [10400/38400] lr: 3.371e-03, eta: 0:25:37, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1179, decode.loss_grad: 0.0000, loss: 0.1179, grad_norm: 0.0473 2024-01-03 17:21:29,718 - mmseg - INFO - Iter [10450/38400] lr: 3.381e-03, eta: 0:25:34, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1210, decode.loss_grad: 0.0000, loss: 0.1210, grad_norm: 0.0499 2024-01-03 17:21:32,245 - mmseg - INFO - Iter [10500/38400] lr: 3.391e-03, eta: 0:25:30, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1209, decode.loss_grad: 0.0000, loss: 0.1209, grad_norm: 0.0490 2024-01-03 17:21:34,801 - mmseg - INFO - Iter [10550/38400] lr: 3.401e-03, eta: 0:25:27, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1207, decode.loss_grad: 0.0000, loss: 0.1207, grad_norm: 0.0495 2024-01-03 17:21:39,435 - mmseg - INFO - Iter [10600/38400] lr: 3.410e-03, eta: 0:25:29, time: 0.093, data_time: 0.043, memory: 749, decode.loss_depth: 0.1207, decode.loss_grad: 0.0000, loss: 0.1207, grad_norm: 0.0489 2024-01-03 17:21:41,989 - mmseg - INFO - Iter [10650/38400] lr: 3.420e-03, eta: 0:25:26, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1194, decode.loss_grad: 0.0000, loss: 0.1194, grad_norm: 0.0476 2024-01-03 17:21:44,524 - mmseg - INFO - Iter [10700/38400] lr: 3.429e-03, eta: 0:25:23, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1233, decode.loss_grad: 0.0000, loss: 0.1233, grad_norm: 0.0488 2024-01-03 17:21:47,056 - mmseg - INFO - Iter [10750/38400] lr: 3.439e-03, eta: 0:25:20, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1205, decode.loss_grad: 0.0000, loss: 0.1205, grad_norm: 0.0480 2024-01-03 17:21:49,617 - mmseg - INFO - Iter [10800/38400] lr: 3.448e-03, eta: 0:25:16, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1195, decode.loss_grad: 0.0000, loss: 0.1195, grad_norm: 0.0484 2024-01-03 17:21:52,186 - mmseg - INFO - Iter [10850/38400] lr: 3.457e-03, eta: 0:25:13, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1205, decode.loss_grad: 0.0000, loss: 0.1205, grad_norm: 0.0494 2024-01-03 17:21:54,733 - mmseg - INFO - Iter [10900/38400] lr: 3.466e-03, eta: 0:25:10, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1198, decode.loss_grad: 0.0000, loss: 0.1198, grad_norm: 0.0486 2024-01-03 17:21:57,293 - mmseg - INFO - Iter [10950/38400] lr: 3.475e-03, eta: 0:25:07, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1204, decode.loss_grad: 0.0000, loss: 0.1204, grad_norm: 0.0487 2024-01-03 17:21:59,864 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:21:59,864 - mmseg - INFO - Iter [11000/38400] lr: 3.484e-03, eta: 0:25:03, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1184, decode.loss_grad: 0.0000, loss: 0.1184, grad_norm: 0.0466 2024-01-03 17:22:02,407 - mmseg - INFO - Iter [11050/38400] lr: 3.493e-03, eta: 0:25:00, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1187, decode.loss_grad: 0.0000, loss: 0.1187, grad_norm: 0.0452 2024-01-03 17:22:04,945 - mmseg - INFO - Iter [11100/38400] lr: 3.502e-03, eta: 0:24:57, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1188, decode.loss_grad: 0.0000, loss: 0.1188, grad_norm: 0.0468 2024-01-03 17:22:07,499 - mmseg - INFO - Iter [11150/38400] lr: 3.511e-03, eta: 0:24:54, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1170, decode.loss_grad: 0.0000, loss: 0.1170, grad_norm: 0.0458 2024-01-03 17:22:10,035 - mmseg - INFO - Saving checkpoint at 11200 iterations 2024-01-03 17:22:10,046 - mmseg - INFO - Iter [11200/38400] lr: 3.519e-03, eta: 0:24:51, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1191, decode.loss_grad: 0.0000, loss: 0.1191, grad_norm: 0.0456 2024-01-03 17:22:12,597 - mmseg - INFO - Iter [11250/38400] lr: 3.528e-03, eta: 0:24:47, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1159, decode.loss_grad: 0.0000, loss: 0.1159, grad_norm: 0.0447 2024-01-03 17:22:15,175 - mmseg - INFO - Iter [11300/38400] lr: 3.537e-03, eta: 0:24:44, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1220, decode.loss_grad: 0.0000, loss: 0.1220, grad_norm: 0.0450 2024-01-03 17:22:17,730 - mmseg - INFO - Iter [11350/38400] lr: 3.545e-03, eta: 0:24:41, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1196, decode.loss_grad: 0.0000, loss: 0.1196, grad_norm: 0.0455 2024-01-03 17:22:20,259 - mmseg - INFO - Iter [11400/38400] lr: 3.553e-03, eta: 0:24:38, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1171, decode.loss_grad: 0.0000, loss: 0.1171, grad_norm: 0.0436 2024-01-03 17:22:22,809 - mmseg - INFO - Iter [11450/38400] lr: 3.561e-03, eta: 0:24:35, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1197, decode.loss_grad: 0.0000, loss: 0.1197, grad_norm: 0.0465 2024-01-03 17:22:25,338 - mmseg - INFO - Iter [11500/38400] lr: 3.570e-03, eta: 0:24:31, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1196, decode.loss_grad: 0.0000, loss: 0.1196, grad_norm: 0.0441 2024-01-03 17:22:27,870 - mmseg - INFO - Iter [11550/38400] lr: 3.578e-03, eta: 0:24:28, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1189, decode.loss_grad: 0.0000, loss: 0.1189, grad_norm: 0.0453 2024-01-03 17:22:30,415 - mmseg - INFO - Iter [11600/38400] lr: 3.586e-03, eta: 0:24:25, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1211, decode.loss_grad: 0.0000, loss: 0.1211, grad_norm: 0.0464 2024-01-03 17:22:32,965 - mmseg - INFO - Iter [11650/38400] lr: 3.593e-03, eta: 0:24:22, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1193, decode.loss_grad: 0.0000, loss: 0.1193, grad_norm: 0.0428 2024-01-03 17:22:35,512 - mmseg - INFO - Iter [11700/38400] lr: 3.601e-03, eta: 0:24:19, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1184, decode.loss_grad: 0.0000, loss: 0.1184, grad_norm: 0.0443 2024-01-03 17:22:38,073 - mmseg - INFO - Iter [11750/38400] lr: 3.609e-03, eta: 0:24:16, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1192, decode.loss_grad: 0.0000, loss: 0.1192, grad_norm: 0.0426 2024-01-03 17:22:40,654 - mmseg - INFO - Iter [11800/38400] lr: 3.616e-03, eta: 0:24:12, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1186, decode.loss_grad: 0.0000, loss: 0.1186, grad_norm: 0.0430 2024-01-03 17:22:43,194 - mmseg - INFO - Iter [11850/38400] lr: 3.624e-03, eta: 0:24:09, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1174, decode.loss_grad: 0.0000, loss: 0.1174, grad_norm: 0.0417 2024-01-03 17:22:45,770 - mmseg - INFO - Iter [11900/38400] lr: 3.631e-03, eta: 0:24:06, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1201, decode.loss_grad: 0.0000, loss: 0.1201, grad_norm: 0.0427 2024-01-03 17:22:48,305 - mmseg - INFO - Iter [11950/38400] lr: 3.639e-03, eta: 0:24:03, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1163, decode.loss_grad: 0.0000, loss: 0.1163, grad_norm: 0.0394 2024-01-03 17:22:50,881 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:22:50,881 - mmseg - INFO - Iter [12000/38400] lr: 3.646e-03, eta: 0:24:00, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1166, decode.loss_grad: 0.0000, loss: 0.1166, grad_norm: 0.0408 2024-01-03 17:22:53,433 - mmseg - INFO - Iter [12050/38400] lr: 3.653e-03, eta: 0:23:57, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1216, decode.loss_grad: 0.0000, loss: 0.1216, grad_norm: 0.0431 2024-01-03 17:22:55,989 - mmseg - INFO - Iter [12100/38400] lr: 3.660e-03, eta: 0:23:54, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1192, decode.loss_grad: 0.0000, loss: 0.1192, grad_norm: 0.0412 2024-01-03 17:23:00,597 - mmseg - INFO - Iter [12150/38400] lr: 3.667e-03, eta: 0:23:55, time: 0.092, data_time: 0.043, memory: 749, decode.loss_depth: 0.1149, decode.loss_grad: 0.0000, loss: 0.1149, grad_norm: 0.0430 2024-01-03 17:23:03,134 - mmseg - INFO - Iter [12200/38400] lr: 3.674e-03, eta: 0:23:52, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1187, decode.loss_grad: 0.0000, loss: 0.1187, grad_norm: 0.0410 2024-01-03 17:23:05,678 - mmseg - INFO - Iter [12250/38400] lr: 3.681e-03, eta: 0:23:49, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1168, decode.loss_grad: 0.0000, loss: 0.1168, grad_norm: 0.0430 2024-01-03 17:23:08,254 - mmseg - INFO - Iter [12300/38400] lr: 3.688e-03, eta: 0:23:46, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1189, decode.loss_grad: 0.0000, loss: 0.1189, grad_norm: 0.0412 2024-01-03 17:23:10,802 - mmseg - INFO - Iter [12350/38400] lr: 3.694e-03, eta: 0:23:43, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1143, decode.loss_grad: 0.0000, loss: 0.1143, grad_norm: 0.0398 2024-01-03 17:23:13,363 - mmseg - INFO - Iter [12400/38400] lr: 3.701e-03, eta: 0:23:40, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1161, decode.loss_grad: 0.0000, loss: 0.1161, grad_norm: 0.0398 2024-01-03 17:23:15,890 - mmseg - INFO - Iter [12450/38400] lr: 3.707e-03, eta: 0:23:36, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1178, decode.loss_grad: 0.0000, loss: 0.1178, grad_norm: 0.0422 2024-01-03 17:23:18,465 - mmseg - INFO - Iter [12500/38400] lr: 3.714e-03, eta: 0:23:33, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1169, decode.loss_grad: 0.0000, loss: 0.1169, grad_norm: 0.0410 2024-01-03 17:23:21,013 - mmseg - INFO - Iter [12550/38400] lr: 3.720e-03, eta: 0:23:30, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1159, decode.loss_grad: 0.0000, loss: 0.1159, grad_norm: 0.0390 2024-01-03 17:23:23,588 - mmseg - INFO - Iter [12600/38400] lr: 3.726e-03, eta: 0:23:27, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1180, decode.loss_grad: 0.0000, loss: 0.1180, grad_norm: 0.0404 2024-01-03 17:23:26,144 - mmseg - INFO - Iter [12650/38400] lr: 3.732e-03, eta: 0:23:24, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1179, decode.loss_grad: 0.0000, loss: 0.1179, grad_norm: 0.0387 2024-01-03 17:23:28,704 - mmseg - INFO - Iter [12700/38400] lr: 3.738e-03, eta: 0:23:21, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1173, decode.loss_grad: 0.0000, loss: 0.1173, grad_norm: 0.0396 2024-01-03 17:23:31,268 - mmseg - INFO - Iter [12750/38400] lr: 3.744e-03, eta: 0:23:18, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1164, decode.loss_grad: 0.0000, loss: 0.1164, grad_norm: 0.0406 2024-01-03 17:23:33,838 - mmseg - INFO - Saving checkpoint at 12800 iterations 2024-01-03 17:23:33,851 - mmseg - INFO - Iter [12800/38400] lr: 3.750e-03, eta: 0:23:15, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1161, decode.loss_grad: 0.0000, loss: 0.1161, grad_norm: 0.0382 2024-01-03 17:23:38,432 - mmseg - INFO - Summary: 2024-01-03 17:23:38,433 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.7349 | 0.9467 | 0.9878 | 0.1726 | 0.5778 | 0.0726 | 0.2097 | 17.2529 | 0.1344 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:23:38,434 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/original/vit_base_patch16_224.dino/best_abs_rel_iter_9600.pth was removed 2024-01-03 17:23:38,444 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_12800.pth. 2024-01-03 17:23:38,444 - mmseg - INFO - Best abs_rel is 0.1726 at 12800 iter. 2024-01-03 17:23:38,444 - mmseg - INFO - Iter(val) [82] a1: 0.7349, a2: 0.9467, a3: 0.9878, abs_rel: 0.17260852456092834, rmse: 0.577776312828064, log_10: 0.07257520407438278, rmse_log: 0.20970311760902405, silog: 17.2529, sq_rel: 0.13439033925533295 2024-01-03 17:23:41,015 - mmseg - INFO - Iter [12850/38400] lr: 3.741e-03, eta: 0:23:21, time: 0.143, data_time: 0.094, memory: 749, decode.loss_depth: 0.1152, decode.loss_grad: 0.0000, loss: 0.1152, grad_norm: 0.0399 2024-01-03 17:23:43,594 - mmseg - INFO - Iter [12900/38400] lr: 3.732e-03, eta: 0:23:18, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1188, decode.loss_grad: 0.0000, loss: 0.1188, grad_norm: 0.0410 2024-01-03 17:23:46,153 - mmseg - INFO - Iter [12950/38400] lr: 3.724e-03, eta: 0:23:15, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1158, decode.loss_grad: 0.0000, loss: 0.1158, grad_norm: 0.0385 2024-01-03 17:23:48,709 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:23:48,710 - mmseg - INFO - Iter [13000/38400] lr: 3.715e-03, eta: 0:23:12, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1157, decode.loss_grad: 0.0000, loss: 0.1157, grad_norm: 0.0384 2024-01-03 17:23:51,284 - mmseg - INFO - Iter [13050/38400] lr: 3.706e-03, eta: 0:23:09, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1156, decode.loss_grad: 0.0000, loss: 0.1156, grad_norm: 0.0400 2024-01-03 17:23:53,843 - mmseg - INFO - Iter [13100/38400] lr: 3.697e-03, eta: 0:23:06, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1146, decode.loss_grad: 0.0000, loss: 0.1146, grad_norm: 0.0373 2024-01-03 17:23:56,394 - mmseg - INFO - Iter [13150/38400] lr: 3.688e-03, eta: 0:23:03, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1176, decode.loss_grad: 0.0000, loss: 0.1176, grad_norm: 0.0400 2024-01-03 17:23:58,944 - mmseg - INFO - Iter [13200/38400] lr: 3.679e-03, eta: 0:22:59, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1167, decode.loss_grad: 0.0000, loss: 0.1167, grad_norm: 0.0393 2024-01-03 17:24:01,474 - mmseg - INFO - Iter [13250/38400] lr: 3.670e-03, eta: 0:22:56, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1173, decode.loss_grad: 0.0000, loss: 0.1173, grad_norm: 0.0379 2024-01-03 17:24:04,051 - mmseg - INFO - Iter [13300/38400] lr: 3.661e-03, eta: 0:22:53, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1181, decode.loss_grad: 0.0000, loss: 0.1181, grad_norm: 0.0397 2024-01-03 17:24:06,624 - mmseg - INFO - Iter [13350/38400] lr: 3.652e-03, eta: 0:22:50, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1171, decode.loss_grad: 0.0000, loss: 0.1171, grad_norm: 0.0383 2024-01-03 17:24:09,184 - mmseg - INFO - Iter [13400/38400] lr: 3.642e-03, eta: 0:22:47, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1169, decode.loss_grad: 0.0000, loss: 0.1169, grad_norm: 0.0375 2024-01-03 17:24:11,709 - mmseg - INFO - Iter [13450/38400] lr: 3.633e-03, eta: 0:22:44, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.1164, decode.loss_grad: 0.0000, loss: 0.1164, grad_norm: 0.0376 2024-01-03 17:24:14,279 - mmseg - INFO - Iter [13500/38400] lr: 3.624e-03, eta: 0:22:41, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1147, decode.loss_grad: 0.0000, loss: 0.1147, grad_norm: 0.0374 2024-01-03 17:24:16,827 - mmseg - INFO - Iter [13550/38400] lr: 3.615e-03, eta: 0:22:38, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1168, decode.loss_grad: 0.0000, loss: 0.1168, grad_norm: 0.0365 2024-01-03 17:24:19,352 - mmseg - INFO - Iter [13600/38400] lr: 3.606e-03, eta: 0:22:35, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.1158, decode.loss_grad: 0.0000, loss: 0.1158, grad_norm: 0.0363 2024-01-03 17:24:23,994 - mmseg - INFO - Iter [13650/38400] lr: 3.597e-03, eta: 0:22:36, time: 0.093, data_time: 0.043, memory: 749, decode.loss_depth: 0.1135, decode.loss_grad: 0.0000, loss: 0.1135, grad_norm: 0.0371 2024-01-03 17:24:26,528 - mmseg - INFO - Iter [13700/38400] lr: 3.588e-03, eta: 0:22:32, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1149, decode.loss_grad: 0.0000, loss: 0.1149, grad_norm: 0.0351 2024-01-03 17:24:29,090 - mmseg - INFO - Iter [13750/38400] lr: 3.578e-03, eta: 0:22:29, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1113, decode.loss_grad: 0.0000, loss: 0.1113, grad_norm: 0.0349 2024-01-03 17:24:31,638 - mmseg - INFO - Iter [13800/38400] lr: 3.569e-03, eta: 0:22:26, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1140, decode.loss_grad: 0.0000, loss: 0.1140, grad_norm: 0.0355 2024-01-03 17:24:34,184 - mmseg - INFO - Iter [13850/38400] lr: 3.560e-03, eta: 0:22:23, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1134, decode.loss_grad: 0.0000, loss: 0.1134, grad_norm: 0.0366 2024-01-03 17:24:36,757 - mmseg - INFO - Iter [13900/38400] lr: 3.551e-03, eta: 0:22:20, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1141, decode.loss_grad: 0.0000, loss: 0.1141, grad_norm: 0.0358 2024-01-03 17:24:39,317 - mmseg - INFO - Iter [13950/38400] lr: 3.541e-03, eta: 0:22:17, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1153, decode.loss_grad: 0.0000, loss: 0.1153, grad_norm: 0.0356 2024-01-03 17:24:41,864 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:24:41,864 - mmseg - INFO - Iter [14000/38400] lr: 3.532e-03, eta: 0:22:14, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1135, decode.loss_grad: 0.0000, loss: 0.1135, grad_norm: 0.0353 2024-01-03 17:24:44,407 - mmseg - INFO - Iter [14050/38400] lr: 3.523e-03, eta: 0:22:11, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1120, decode.loss_grad: 0.0000, loss: 0.1120, grad_norm: 0.0355 2024-01-03 17:24:46,980 - mmseg - INFO - Iter [14100/38400] lr: 3.513e-03, eta: 0:22:08, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1092, decode.loss_grad: 0.0000, loss: 0.1092, grad_norm: 0.0366 2024-01-03 17:24:49,548 - mmseg - INFO - Iter [14150/38400] lr: 3.504e-03, eta: 0:22:05, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1124, decode.loss_grad: 0.0000, loss: 0.1124, grad_norm: 0.0353 2024-01-03 17:24:52,088 - mmseg - INFO - Iter [14200/38400] lr: 3.495e-03, eta: 0:22:02, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1120, decode.loss_grad: 0.0000, loss: 0.1120, grad_norm: 0.0364 2024-01-03 17:24:54,652 - mmseg - INFO - Iter [14250/38400] lr: 3.485e-03, eta: 0:21:59, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1127, decode.loss_grad: 0.0000, loss: 0.1127, grad_norm: 0.0349 2024-01-03 17:24:57,196 - mmseg - INFO - Iter [14300/38400] lr: 3.476e-03, eta: 0:21:56, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1135, decode.loss_grad: 0.0000, loss: 0.1135, grad_norm: 0.0345 2024-01-03 17:24:59,884 - mmseg - INFO - Iter [14350/38400] lr: 3.466e-03, eta: 0:21:53, time: 0.054, data_time: 0.002, memory: 749, decode.loss_depth: 0.1115, decode.loss_grad: 0.0000, loss: 0.1115, grad_norm: 0.0350 2024-01-03 17:25:02,462 - mmseg - INFO - Saving checkpoint at 14400 iterations 2024-01-03 17:25:02,475 - mmseg - INFO - Iter [14400/38400] lr: 3.457e-03, eta: 0:21:50, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1141, decode.loss_grad: 0.0000, loss: 0.1141, grad_norm: 0.0356 2024-01-03 17:25:05,014 - mmseg - INFO - Iter [14450/38400] lr: 3.447e-03, eta: 0:21:47, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1152, decode.loss_grad: 0.0000, loss: 0.1152, grad_norm: 0.0366 2024-01-03 17:25:07,576 - mmseg - INFO - Iter [14500/38400] lr: 3.438e-03, eta: 0:21:44, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1119, decode.loss_grad: 0.0000, loss: 0.1119, grad_norm: 0.0342 2024-01-03 17:25:10,106 - mmseg - INFO - Iter [14550/38400] lr: 3.428e-03, eta: 0:21:41, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1132, decode.loss_grad: 0.0000, loss: 0.1132, grad_norm: 0.0347 2024-01-03 17:25:12,653 - mmseg - INFO - Iter [14600/38400] lr: 3.419e-03, eta: 0:21:38, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1129, decode.loss_grad: 0.0000, loss: 0.1129, grad_norm: 0.0358 2024-01-03 17:25:15,201 - mmseg - INFO - Iter [14650/38400] lr: 3.409e-03, eta: 0:21:35, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1119, decode.loss_grad: 0.0000, loss: 0.1119, grad_norm: 0.0346 2024-01-03 17:25:17,767 - mmseg - INFO - Iter [14700/38400] lr: 3.400e-03, eta: 0:21:32, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1133, decode.loss_grad: 0.0000, loss: 0.1133, grad_norm: 0.0364 2024-01-03 17:25:20,315 - mmseg - INFO - Iter [14750/38400] lr: 3.390e-03, eta: 0:21:29, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1167, decode.loss_grad: 0.0000, loss: 0.1167, grad_norm: 0.0352 2024-01-03 17:25:22,875 - mmseg - INFO - Iter [14800/38400] lr: 3.381e-03, eta: 0:21:26, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1138, decode.loss_grad: 0.0000, loss: 0.1138, grad_norm: 0.0364 2024-01-03 17:25:25,446 - mmseg - INFO - Iter [14850/38400] lr: 3.371e-03, eta: 0:21:23, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1122, decode.loss_grad: 0.0000, loss: 0.1122, grad_norm: 0.0335 2024-01-03 17:25:28,013 - mmseg - INFO - Iter [14900/38400] lr: 3.362e-03, eta: 0:21:20, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1138, decode.loss_grad: 0.0000, loss: 0.1138, grad_norm: 0.0336 2024-01-03 17:25:30,565 - mmseg - INFO - Iter [14950/38400] lr: 3.352e-03, eta: 0:21:17, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1128, decode.loss_grad: 0.0000, loss: 0.1128, grad_norm: 0.0345 2024-01-03 17:25:33,122 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:25:33,123 - mmseg - INFO - Iter [15000/38400] lr: 3.342e-03, eta: 0:21:14, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1104, decode.loss_grad: 0.0000, loss: 0.1104, grad_norm: 0.0329 2024-01-03 17:25:35,672 - mmseg - INFO - Iter [15050/38400] lr: 3.333e-03, eta: 0:21:11, time: 0.051, data_time: 0.001, memory: 749, decode.loss_depth: 0.1121, decode.loss_grad: 0.0000, loss: 0.1121, grad_norm: 0.0340 2024-01-03 17:25:38,205 - mmseg - INFO - Iter [15100/38400] lr: 3.323e-03, eta: 0:21:08, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1112, decode.loss_grad: 0.0000, loss: 0.1112, grad_norm: 0.0346 2024-01-03 17:25:42,807 - mmseg - INFO - Iter [15150/38400] lr: 3.313e-03, eta: 0:21:08, time: 0.092, data_time: 0.043, memory: 749, decode.loss_depth: 0.1108, decode.loss_grad: 0.0000, loss: 0.1108, grad_norm: 0.0331 2024-01-03 17:25:45,327 - mmseg - INFO - Iter [15200/38400] lr: 3.304e-03, eta: 0:21:05, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.1113, decode.loss_grad: 0.0000, loss: 0.1113, grad_norm: 0.0329 2024-01-03 17:25:47,876 - mmseg - INFO - Iter [15250/38400] lr: 3.294e-03, eta: 0:21:02, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1084, decode.loss_grad: 0.0000, loss: 0.1084, grad_norm: 0.0334 2024-01-03 17:25:50,413 - mmseg - INFO - Iter [15300/38400] lr: 3.284e-03, eta: 0:20:59, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1074, decode.loss_grad: 0.0000, loss: 0.1074, grad_norm: 0.0323 2024-01-03 17:25:52,954 - mmseg - INFO - Iter [15350/38400] lr: 3.275e-03, eta: 0:20:56, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1114, decode.loss_grad: 0.0000, loss: 0.1114, grad_norm: 0.0338 2024-01-03 17:25:55,518 - mmseg - INFO - Iter [15400/38400] lr: 3.265e-03, eta: 0:20:53, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1106, decode.loss_grad: 0.0000, loss: 0.1106, grad_norm: 0.0335 2024-01-03 17:25:58,052 - mmseg - INFO - Iter [15450/38400] lr: 3.255e-03, eta: 0:20:50, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1122, decode.loss_grad: 0.0000, loss: 0.1122, grad_norm: 0.0351 2024-01-03 17:26:00,615 - mmseg - INFO - Iter [15500/38400] lr: 3.245e-03, eta: 0:20:47, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1113, decode.loss_grad: 0.0000, loss: 0.1113, grad_norm: 0.0340 2024-01-03 17:26:03,177 - mmseg - INFO - Iter [15550/38400] lr: 3.236e-03, eta: 0:20:44, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1079, decode.loss_grad: 0.0000, loss: 0.1079, grad_norm: 0.0311 2024-01-03 17:26:05,705 - mmseg - INFO - Iter [15600/38400] lr: 3.226e-03, eta: 0:20:41, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1099, decode.loss_grad: 0.0000, loss: 0.1099, grad_norm: 0.0329 2024-01-03 17:26:08,275 - mmseg - INFO - Iter [15650/38400] lr: 3.216e-03, eta: 0:20:38, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1092, decode.loss_grad: 0.0000, loss: 0.1092, grad_norm: 0.0319 2024-01-03 17:26:10,815 - mmseg - INFO - Iter [15700/38400] lr: 3.206e-03, eta: 0:20:35, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1094, decode.loss_grad: 0.0000, loss: 0.1094, grad_norm: 0.0326 2024-01-03 17:26:13,363 - mmseg - INFO - Iter [15750/38400] lr: 3.196e-03, eta: 0:20:32, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1081, decode.loss_grad: 0.0000, loss: 0.1081, grad_norm: 0.0334 2024-01-03 17:26:15,915 - mmseg - INFO - Iter [15800/38400] lr: 3.187e-03, eta: 0:20:29, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1111, decode.loss_grad: 0.0000, loss: 0.1111, grad_norm: 0.0340 2024-01-03 17:26:18,480 - mmseg - INFO - Iter [15850/38400] lr: 3.177e-03, eta: 0:20:26, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1079, decode.loss_grad: 0.0000, loss: 0.1079, grad_norm: 0.0336 2024-01-03 17:26:21,035 - mmseg - INFO - Iter [15900/38400] lr: 3.167e-03, eta: 0:20:23, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1122, decode.loss_grad: 0.0000, loss: 0.1122, grad_norm: 0.0330 2024-01-03 17:26:23,588 - mmseg - INFO - Iter [15950/38400] lr: 3.157e-03, eta: 0:20:20, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1104, decode.loss_grad: 0.0000, loss: 0.1104, grad_norm: 0.0326 2024-01-03 17:26:26,154 - mmseg - INFO - Saving checkpoint at 16000 iterations 2024-01-03 17:26:26,170 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:26:26,170 - mmseg - INFO - Iter [16000/38400] lr: 3.147e-03, eta: 0:20:18, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1127, decode.loss_grad: 0.0000, loss: 0.1127, grad_norm: 0.0330 2024-01-03 17:26:30,787 - mmseg - INFO - Summary: 2024-01-03 17:26:30,787 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.7364 | 0.9463 | 0.9876 | 0.1715 | 0.5769 | 0.0722 | 0.2088 | 17.2737 | 0.1343 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:26:30,789 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/original/vit_base_patch16_224.dino/best_abs_rel_iter_12800.pth was removed 2024-01-03 17:26:30,800 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_16000.pth. 2024-01-03 17:26:30,800 - mmseg - INFO - Best abs_rel is 0.1715 at 16000 iter. 2024-01-03 17:26:30,800 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:26:30,800 - mmseg - INFO - Iter(val) [82] a1: 0.7364, a2: 0.9463, a3: 0.9876, abs_rel: 0.17147548496723175, rmse: 0.5768876671791077, log_10: 0.07215294241905212, rmse_log: 0.20878493785858154, silog: 17.2737, sq_rel: 0.1342923790216446 2024-01-03 17:26:33,328 - mmseg - INFO - Iter [16050/38400] lr: 3.137e-03, eta: 0:20:21, time: 0.143, data_time: 0.094, memory: 749, decode.loss_depth: 0.1089, decode.loss_grad: 0.0000, loss: 0.1089, grad_norm: 0.0311 2024-01-03 17:26:35,870 - mmseg - INFO - Iter [16100/38400] lr: 3.127e-03, eta: 0:20:18, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1085, decode.loss_grad: 0.0000, loss: 0.1085, grad_norm: 0.0325 2024-01-03 17:26:38,438 - mmseg - INFO - Iter [16150/38400] lr: 3.118e-03, eta: 0:20:15, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1091, decode.loss_grad: 0.0000, loss: 0.1091, grad_norm: 0.0328 2024-01-03 17:26:41,013 - mmseg - INFO - Iter [16200/38400] lr: 3.108e-03, eta: 0:20:12, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1098, decode.loss_grad: 0.0000, loss: 0.1098, grad_norm: 0.0335 2024-01-03 17:26:43,591 - mmseg - INFO - Iter [16250/38400] lr: 3.098e-03, eta: 0:20:09, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1116, decode.loss_grad: 0.0000, loss: 0.1116, grad_norm: 0.0339 2024-01-03 17:26:46,148 - mmseg - INFO - Iter [16300/38400] lr: 3.088e-03, eta: 0:20:06, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1085, decode.loss_grad: 0.0000, loss: 0.1085, grad_norm: 0.0337 2024-01-03 17:26:48,686 - mmseg - INFO - Iter [16350/38400] lr: 3.078e-03, eta: 0:20:03, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1105, decode.loss_grad: 0.0000, loss: 0.1105, grad_norm: 0.0327 2024-01-03 17:26:51,208 - mmseg - INFO - Iter [16400/38400] lr: 3.068e-03, eta: 0:20:00, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.1094, decode.loss_grad: 0.0000, loss: 0.1094, grad_norm: 0.0326 2024-01-03 17:26:53,766 - mmseg - INFO - Iter [16450/38400] lr: 3.058e-03, eta: 0:19:57, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1088, decode.loss_grad: 0.0000, loss: 0.1088, grad_norm: 0.0331 2024-01-03 17:26:56,358 - mmseg - INFO - Iter [16500/38400] lr: 3.048e-03, eta: 0:19:54, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1106, decode.loss_grad: 0.0000, loss: 0.1106, grad_norm: 0.0326 2024-01-03 17:26:58,920 - mmseg - INFO - Iter [16550/38400] lr: 3.038e-03, eta: 0:19:51, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1078, decode.loss_grad: 0.0000, loss: 0.1078, grad_norm: 0.0327 2024-01-03 17:27:01,463 - mmseg - INFO - Iter [16600/38400] lr: 3.028e-03, eta: 0:19:48, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1094, decode.loss_grad: 0.0000, loss: 0.1094, grad_norm: 0.0313 2024-01-03 17:27:03,995 - mmseg - INFO - Iter [16650/38400] lr: 3.018e-03, eta: 0:19:45, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1088, decode.loss_grad: 0.0000, loss: 0.1088, grad_norm: 0.0318 2024-01-03 17:27:08,610 - mmseg - INFO - Iter [16700/38400] lr: 3.008e-03, eta: 0:19:45, time: 0.092, data_time: 0.043, memory: 749, decode.loss_depth: 0.1064, decode.loss_grad: 0.0000, loss: 0.1064, grad_norm: 0.0319 2024-01-03 17:27:11,152 - mmseg - INFO - Iter [16750/38400] lr: 2.998e-03, eta: 0:19:42, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1076, decode.loss_grad: 0.0000, loss: 0.1076, grad_norm: 0.0320 2024-01-03 17:27:13,702 - mmseg - INFO - Iter [16800/38400] lr: 2.988e-03, eta: 0:19:39, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1082, decode.loss_grad: 0.0000, loss: 0.1082, grad_norm: 0.0314 2024-01-03 17:27:16,256 - mmseg - INFO - Iter [16850/38400] lr: 2.978e-03, eta: 0:19:36, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1056, decode.loss_grad: 0.0000, loss: 0.1056, grad_norm: 0.0310 2024-01-03 17:27:18,795 - mmseg - INFO - Iter [16900/38400] lr: 2.968e-03, eta: 0:19:33, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1102, decode.loss_grad: 0.0000, loss: 0.1102, grad_norm: 0.0330 2024-01-03 17:27:21,328 - mmseg - INFO - Iter [16950/38400] lr: 2.958e-03, eta: 0:19:30, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1071, decode.loss_grad: 0.0000, loss: 0.1071, grad_norm: 0.0314 2024-01-03 17:27:23,859 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:27:23,859 - mmseg - INFO - Iter [17000/38400] lr: 2.948e-03, eta: 0:19:27, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1065, decode.loss_grad: 0.0000, loss: 0.1065, grad_norm: 0.0317 2024-01-03 17:27:26,458 - mmseg - INFO - Iter [17050/38400] lr: 2.938e-03, eta: 0:19:24, time: 0.052, data_time: 0.003, memory: 749, decode.loss_depth: 0.1084, decode.loss_grad: 0.0000, loss: 0.1084, grad_norm: 0.0325 2024-01-03 17:27:29,015 - mmseg - INFO - Iter [17100/38400] lr: 2.928e-03, eta: 0:19:22, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1060, decode.loss_grad: 0.0000, loss: 0.1060, grad_norm: 0.0321 2024-01-03 17:27:31,569 - mmseg - INFO - Iter [17150/38400] lr: 2.918e-03, eta: 0:19:19, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1078, decode.loss_grad: 0.0000, loss: 0.1078, grad_norm: 0.0329 2024-01-03 17:27:34,156 - mmseg - INFO - Iter [17200/38400] lr: 2.907e-03, eta: 0:19:16, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1056, decode.loss_grad: 0.0000, loss: 0.1056, grad_norm: 0.0316 2024-01-03 17:27:36,710 - mmseg - INFO - Iter [17250/38400] lr: 2.897e-03, eta: 0:19:13, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1084, decode.loss_grad: 0.0000, loss: 0.1084, grad_norm: 0.0320 2024-01-03 17:27:39,284 - mmseg - INFO - Iter [17300/38400] lr: 2.887e-03, eta: 0:19:10, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1072, decode.loss_grad: 0.0000, loss: 0.1072, grad_norm: 0.0309 2024-01-03 17:27:41,836 - mmseg - INFO - Iter [17350/38400] lr: 2.877e-03, eta: 0:19:07, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1070, decode.loss_grad: 0.0000, loss: 0.1070, grad_norm: 0.0304 2024-01-03 17:27:44,375 - mmseg - INFO - Iter [17400/38400] lr: 2.867e-03, eta: 0:19:04, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1055, decode.loss_grad: 0.0000, loss: 0.1055, grad_norm: 0.0310 2024-01-03 17:27:46,951 - mmseg - INFO - Iter [17450/38400] lr: 2.857e-03, eta: 0:19:01, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1075, decode.loss_grad: 0.0000, loss: 0.1075, grad_norm: 0.0313 2024-01-03 17:27:49,496 - mmseg - INFO - Iter [17500/38400] lr: 2.847e-03, eta: 0:18:58, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1045, decode.loss_grad: 0.0000, loss: 0.1045, grad_norm: 0.0298 2024-01-03 17:27:52,047 - mmseg - INFO - Iter [17550/38400] lr: 2.837e-03, eta: 0:18:55, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1077, decode.loss_grad: 0.0000, loss: 0.1077, grad_norm: 0.0308 2024-01-03 17:27:54,599 - mmseg - INFO - Saving checkpoint at 17600 iterations 2024-01-03 17:27:54,618 - mmseg - INFO - Iter [17600/38400] lr: 2.827e-03, eta: 0:18:52, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1093, decode.loss_grad: 0.0000, loss: 0.1093, grad_norm: 0.0312 2024-01-03 17:27:57,150 - mmseg - INFO - Iter [17650/38400] lr: 2.816e-03, eta: 0:18:49, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1072, decode.loss_grad: 0.0000, loss: 0.1072, grad_norm: 0.0315 2024-01-03 17:27:59,727 - mmseg - INFO - Iter [17700/38400] lr: 2.806e-03, eta: 0:18:46, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1053, decode.loss_grad: 0.0000, loss: 0.1053, grad_norm: 0.0306 2024-01-03 17:28:02,286 - mmseg - INFO - Iter [17750/38400] lr: 2.796e-03, eta: 0:18:44, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1091, decode.loss_grad: 0.0000, loss: 0.1091, grad_norm: 0.0321 2024-01-03 17:28:04,813 - mmseg - INFO - Iter [17800/38400] lr: 2.786e-03, eta: 0:18:41, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1077, decode.loss_grad: 0.0000, loss: 0.1077, grad_norm: 0.0307 2024-01-03 17:28:07,364 - mmseg - INFO - Iter [17850/38400] lr: 2.776e-03, eta: 0:18:38, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1068, decode.loss_grad: 0.0000, loss: 0.1068, grad_norm: 0.0310 2024-01-03 17:28:09,901 - mmseg - INFO - Iter [17900/38400] lr: 2.766e-03, eta: 0:18:35, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1060, decode.loss_grad: 0.0000, loss: 0.1060, grad_norm: 0.0311 2024-01-03 17:28:12,434 - mmseg - INFO - Iter [17950/38400] lr: 2.755e-03, eta: 0:18:32, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1084, decode.loss_grad: 0.0000, loss: 0.1084, grad_norm: 0.0305 2024-01-03 17:28:14,959 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:28:14,959 - mmseg - INFO - Iter [18000/38400] lr: 2.745e-03, eta: 0:18:29, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.1067, decode.loss_grad: 0.0000, loss: 0.1067, grad_norm: 0.0317 2024-01-03 17:28:17,517 - mmseg - INFO - Iter [18050/38400] lr: 2.735e-03, eta: 0:18:26, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1062, decode.loss_grad: 0.0000, loss: 0.1062, grad_norm: 0.0312 2024-01-03 17:28:20,082 - mmseg - INFO - Iter [18100/38400] lr: 2.725e-03, eta: 0:18:23, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1063, decode.loss_grad: 0.0000, loss: 0.1063, grad_norm: 0.0299 2024-01-03 17:28:22,644 - mmseg - INFO - Iter [18150/38400] lr: 2.715e-03, eta: 0:18:20, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1077, decode.loss_grad: 0.0000, loss: 0.1077, grad_norm: 0.0314 2024-01-03 17:28:27,242 - mmseg - INFO - Iter [18200/38400] lr: 2.705e-03, eta: 0:18:20, time: 0.092, data_time: 0.043, memory: 749, decode.loss_depth: 0.1070, decode.loss_grad: 0.0000, loss: 0.1070, grad_norm: 0.0306 2024-01-03 17:28:29,787 - mmseg - INFO - Iter [18250/38400] lr: 2.694e-03, eta: 0:18:17, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1041, decode.loss_grad: 0.0000, loss: 0.1041, grad_norm: 0.0312 2024-01-03 17:28:32,341 - mmseg - INFO - Iter [18300/38400] lr: 2.684e-03, eta: 0:18:14, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1074, decode.loss_grad: 0.0000, loss: 0.1074, grad_norm: 0.0301 2024-01-03 17:28:34,870 - mmseg - INFO - Iter [18350/38400] lr: 2.674e-03, eta: 0:18:11, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1056, decode.loss_grad: 0.0000, loss: 0.1056, grad_norm: 0.0315 2024-01-03 17:28:37,408 - mmseg - INFO - Iter [18400/38400] lr: 2.664e-03, eta: 0:18:08, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1050, decode.loss_grad: 0.0000, loss: 0.1050, grad_norm: 0.0305 2024-01-03 17:28:39,922 - mmseg - INFO - Iter [18450/38400] lr: 2.654e-03, eta: 0:18:05, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.1043, decode.loss_grad: 0.0000, loss: 0.1043, grad_norm: 0.0313 2024-01-03 17:28:42,493 - mmseg - INFO - Iter [18500/38400] lr: 2.643e-03, eta: 0:18:02, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1056, decode.loss_grad: 0.0000, loss: 0.1056, grad_norm: 0.0308 2024-01-03 17:28:45,044 - mmseg - INFO - Iter [18550/38400] lr: 2.633e-03, eta: 0:17:59, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1053, decode.loss_grad: 0.0000, loss: 0.1053, grad_norm: 0.0308 2024-01-03 17:28:47,586 - mmseg - INFO - Iter [18600/38400] lr: 2.623e-03, eta: 0:17:56, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1043, decode.loss_grad: 0.0000, loss: 0.1043, grad_norm: 0.0318 2024-01-03 17:28:50,151 - mmseg - INFO - Iter [18650/38400] lr: 2.613e-03, eta: 0:17:53, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1067, decode.loss_grad: 0.0000, loss: 0.1067, grad_norm: 0.0320 2024-01-03 17:28:52,670 - mmseg - INFO - Iter [18700/38400] lr: 2.602e-03, eta: 0:17:50, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.1058, decode.loss_grad: 0.0000, loss: 0.1058, grad_norm: 0.0313 2024-01-03 17:28:55,210 - mmseg - INFO - Iter [18750/38400] lr: 2.592e-03, eta: 0:17:48, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1036, decode.loss_grad: 0.0000, loss: 0.1036, grad_norm: 0.0280 2024-01-03 17:28:57,748 - mmseg - INFO - Iter [18800/38400] lr: 2.582e-03, eta: 0:17:45, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1055, decode.loss_grad: 0.0000, loss: 0.1055, grad_norm: 0.0307 2024-01-03 17:29:00,432 - mmseg - INFO - Iter [18850/38400] lr: 2.572e-03, eta: 0:17:42, time: 0.054, data_time: 0.002, memory: 749, decode.loss_depth: 0.1068, decode.loss_grad: 0.0000, loss: 0.1068, grad_norm: 0.0308 2024-01-03 17:29:02,973 - mmseg - INFO - Iter [18900/38400] lr: 2.562e-03, eta: 0:17:39, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1051, decode.loss_grad: 0.0000, loss: 0.1051, grad_norm: 0.0314 2024-01-03 17:29:05,537 - mmseg - INFO - Iter [18950/38400] lr: 2.551e-03, eta: 0:17:36, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1048, decode.loss_grad: 0.0000, loss: 0.1048, grad_norm: 0.0305 2024-01-03 17:29:08,069 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:29:08,070 - mmseg - INFO - Iter [19000/38400] lr: 2.541e-03, eta: 0:17:33, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1073, decode.loss_grad: 0.0000, loss: 0.1073, grad_norm: 0.0324 2024-01-03 17:29:10,605 - mmseg - INFO - Iter [19050/38400] lr: 2.531e-03, eta: 0:17:30, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1052, decode.loss_grad: 0.0000, loss: 0.1052, grad_norm: 0.0303 2024-01-03 17:29:13,169 - mmseg - INFO - Iter [19100/38400] lr: 2.521e-03, eta: 0:17:27, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1068, decode.loss_grad: 0.0000, loss: 0.1068, grad_norm: 0.0320 2024-01-03 17:29:15,730 - mmseg - INFO - Iter [19150/38400] lr: 2.510e-03, eta: 0:17:25, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1037, decode.loss_grad: 0.0000, loss: 0.1037, grad_norm: 0.0285 2024-01-03 17:29:18,303 - mmseg - INFO - Saving checkpoint at 19200 iterations 2024-01-03 17:29:18,317 - mmseg - INFO - Iter [19200/38400] lr: 2.500e-03, eta: 0:17:22, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1065, decode.loss_grad: 0.0000, loss: 0.1065, grad_norm: 0.0313 2024-01-03 17:29:22,919 - mmseg - INFO - Summary: 2024-01-03 17:29:22,919 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.7305 | 0.9452 | 0.9882 | 0.1712 | 0.5811 | 0.073 | 0.2108 | 17.3395 | 0.1325 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:29:22,921 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/original/vit_base_patch16_224.dino/best_abs_rel_iter_16000.pth was removed 2024-01-03 17:29:22,931 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_19200.pth. 2024-01-03 17:29:22,931 - mmseg - INFO - Best abs_rel is 0.1712 at 19200 iter. 2024-01-03 17:29:22,931 - mmseg - INFO - Iter(val) [82] a1: 0.7305, a2: 0.9452, a3: 0.9882, abs_rel: 0.17115028202533722, rmse: 0.5811002254486084, log_10: 0.07301844656467438, rmse_log: 0.21075645089149475, silog: 17.3395, sq_rel: 0.1324932724237442 2024-01-03 17:29:25,467 - mmseg - INFO - Iter [19250/38400] lr: 2.490e-03, eta: 0:17:23, time: 0.143, data_time: 0.094, memory: 749, decode.loss_depth: 0.1018, decode.loss_grad: 0.0000, loss: 0.1018, grad_norm: 0.0307 2024-01-03 17:29:28,023 - mmseg - INFO - Iter [19300/38400] lr: 2.480e-03, eta: 0:17:21, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1054, decode.loss_grad: 0.0000, loss: 0.1054, grad_norm: 0.0312 2024-01-03 17:29:30,584 - mmseg - INFO - Iter [19350/38400] lr: 2.470e-03, eta: 0:17:18, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1067, decode.loss_grad: 0.0000, loss: 0.1067, grad_norm: 0.0313 2024-01-03 17:29:33,152 - mmseg - INFO - Iter [19400/38400] lr: 2.459e-03, eta: 0:17:15, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1040, decode.loss_grad: 0.0000, loss: 0.1040, grad_norm: 0.0295 2024-01-03 17:29:35,700 - mmseg - INFO - Iter [19450/38400] lr: 2.449e-03, eta: 0:17:12, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1056, decode.loss_grad: 0.0000, loss: 0.1056, grad_norm: 0.0296 2024-01-03 17:29:38,244 - mmseg - INFO - Iter [19500/38400] lr: 2.439e-03, eta: 0:17:09, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1039, decode.loss_grad: 0.0000, loss: 0.1039, grad_norm: 0.0302 2024-01-03 17:29:40,781 - mmseg - INFO - Iter [19550/38400] lr: 2.429e-03, eta: 0:17:06, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1060, decode.loss_grad: 0.0000, loss: 0.1060, grad_norm: 0.0310 2024-01-03 17:29:43,376 - mmseg - INFO - Iter [19600/38400] lr: 2.418e-03, eta: 0:17:03, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1049, decode.loss_grad: 0.0000, loss: 0.1049, grad_norm: 0.0326 2024-01-03 17:29:45,923 - mmseg - INFO - Iter [19650/38400] lr: 2.408e-03, eta: 0:17:00, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1050, decode.loss_grad: 0.0000, loss: 0.1050, grad_norm: 0.0298 2024-01-03 17:29:50,570 - mmseg - INFO - Iter [19700/38400] lr: 2.398e-03, eta: 0:16:59, time: 0.093, data_time: 0.043, memory: 749, decode.loss_depth: 0.1032, decode.loss_grad: 0.0000, loss: 0.1032, grad_norm: 0.0301 2024-01-03 17:29:53,138 - mmseg - INFO - Iter [19750/38400] lr: 2.388e-03, eta: 0:16:57, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1046, decode.loss_grad: 0.0000, loss: 0.1046, grad_norm: 0.0300 2024-01-03 17:29:55,693 - mmseg - INFO - Iter [19800/38400] lr: 2.378e-03, eta: 0:16:54, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1043, decode.loss_grad: 0.0000, loss: 0.1043, grad_norm: 0.0301 2024-01-03 17:29:58,260 - mmseg - INFO - Iter [19850/38400] lr: 2.367e-03, eta: 0:16:51, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1023, decode.loss_grad: 0.0000, loss: 0.1023, grad_norm: 0.0294 2024-01-03 17:30:00,824 - mmseg - INFO - Iter [19900/38400] lr: 2.357e-03, eta: 0:16:48, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1061, decode.loss_grad: 0.0000, loss: 0.1061, grad_norm: 0.0310 2024-01-03 17:30:03,408 - mmseg - INFO - Iter [19950/38400] lr: 2.347e-03, eta: 0:16:45, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1043, decode.loss_grad: 0.0000, loss: 0.1043, grad_norm: 0.0305 2024-01-03 17:30:05,970 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:30:05,970 - mmseg - INFO - Iter [20000/38400] lr: 2.337e-03, eta: 0:16:42, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1031, decode.loss_grad: 0.0000, loss: 0.1031, grad_norm: 0.0290 2024-01-03 17:30:08,518 - mmseg - INFO - Iter [20050/38400] lr: 2.326e-03, eta: 0:16:39, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1003, decode.loss_grad: 0.0000, loss: 0.1003, grad_norm: 0.0295 2024-01-03 17:30:11,058 - mmseg - INFO - Iter [20100/38400] lr: 2.316e-03, eta: 0:16:36, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1027, decode.loss_grad: 0.0000, loss: 0.1027, grad_norm: 0.0289 2024-01-03 17:30:13,604 - mmseg - INFO - Iter [20150/38400] lr: 2.306e-03, eta: 0:16:33, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1032, decode.loss_grad: 0.0000, loss: 0.1032, grad_norm: 0.0303 2024-01-03 17:30:16,177 - mmseg - INFO - Iter [20200/38400] lr: 2.296e-03, eta: 0:16:31, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1029, decode.loss_grad: 0.0000, loss: 0.1029, grad_norm: 0.0304 2024-01-03 17:30:18,716 - mmseg - INFO - Iter [20250/38400] lr: 2.286e-03, eta: 0:16:28, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1012, decode.loss_grad: 0.0000, loss: 0.1012, grad_norm: 0.0293 2024-01-03 17:30:21,253 - mmseg - INFO - Iter [20300/38400] lr: 2.276e-03, eta: 0:16:25, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1041, decode.loss_grad: 0.0000, loss: 0.1041, grad_norm: 0.0298 2024-01-03 17:30:23,805 - mmseg - INFO - Iter [20350/38400] lr: 2.265e-03, eta: 0:16:22, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1020, decode.loss_grad: 0.0000, loss: 0.1020, grad_norm: 0.0298 2024-01-03 17:30:26,368 - mmseg - INFO - Iter [20400/38400] lr: 2.255e-03, eta: 0:16:19, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1043, decode.loss_grad: 0.0000, loss: 0.1043, grad_norm: 0.0293 2024-01-03 17:30:28,900 - mmseg - INFO - Iter [20450/38400] lr: 2.245e-03, eta: 0:16:16, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1062, decode.loss_grad: 0.0000, loss: 0.1062, grad_norm: 0.0303 2024-01-03 17:30:31,454 - mmseg - INFO - Iter [20500/38400] lr: 2.235e-03, eta: 0:16:13, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1041, decode.loss_grad: 0.0000, loss: 0.1041, grad_norm: 0.0305 2024-01-03 17:30:34,002 - mmseg - INFO - Iter [20550/38400] lr: 2.225e-03, eta: 0:16:11, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1033, decode.loss_grad: 0.0000, loss: 0.1033, grad_norm: 0.0298 2024-01-03 17:30:36,540 - mmseg - INFO - Iter [20600/38400] lr: 2.214e-03, eta: 0:16:08, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1029, decode.loss_grad: 0.0000, loss: 0.1029, grad_norm: 0.0298 2024-01-03 17:30:39,103 - mmseg - INFO - Iter [20650/38400] lr: 2.204e-03, eta: 0:16:05, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1021, decode.loss_grad: 0.0000, loss: 0.1021, grad_norm: 0.0303 2024-01-03 17:30:41,673 - mmseg - INFO - Iter [20700/38400] lr: 2.194e-03, eta: 0:16:02, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1022, decode.loss_grad: 0.0000, loss: 0.1022, grad_norm: 0.0300 2024-01-03 17:30:44,256 - mmseg - INFO - Iter [20750/38400] lr: 2.184e-03, eta: 0:15:59, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1027, decode.loss_grad: 0.0000, loss: 0.1027, grad_norm: 0.0290 2024-01-03 17:30:46,825 - mmseg - INFO - Saving checkpoint at 20800 iterations 2024-01-03 17:30:46,837 - mmseg - INFO - Iter [20800/38400] lr: 2.174e-03, eta: 0:15:56, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1042, decode.loss_grad: 0.0000, loss: 0.1042, grad_norm: 0.0307 2024-01-03 17:30:49,381 - mmseg - INFO - Iter [20850/38400] lr: 2.164e-03, eta: 0:15:53, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1024, decode.loss_grad: 0.0000, loss: 0.1024, grad_norm: 0.0292 2024-01-03 17:30:51,942 - mmseg - INFO - Iter [20900/38400] lr: 2.154e-03, eta: 0:15:51, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1006, decode.loss_grad: 0.0000, loss: 0.1006, grad_norm: 0.0300 2024-01-03 17:30:54,461 - mmseg - INFO - Iter [20950/38400] lr: 2.143e-03, eta: 0:15:48, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.1022, decode.loss_grad: 0.0000, loss: 0.1022, grad_norm: 0.0295 2024-01-03 17:30:57,017 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:30:57,018 - mmseg - INFO - Iter [21000/38400] lr: 2.133e-03, eta: 0:15:45, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1024, decode.loss_grad: 0.0000, loss: 0.1024, grad_norm: 0.0306 2024-01-03 17:30:59,572 - mmseg - INFO - Iter [21050/38400] lr: 2.123e-03, eta: 0:15:42, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1027, decode.loss_grad: 0.0000, loss: 0.1027, grad_norm: 0.0286 2024-01-03 17:31:02,129 - mmseg - INFO - Iter [21100/38400] lr: 2.113e-03, eta: 0:15:39, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1053, decode.loss_grad: 0.0000, loss: 0.1053, grad_norm: 0.0320 2024-01-03 17:31:04,688 - mmseg - INFO - Iter [21150/38400] lr: 2.103e-03, eta: 0:15:36, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1013, decode.loss_grad: 0.0000, loss: 0.1013, grad_norm: 0.0298 2024-01-03 17:31:09,353 - mmseg - INFO - Iter [21200/38400] lr: 2.093e-03, eta: 0:15:35, time: 0.093, data_time: 0.043, memory: 749, decode.loss_depth: 0.1010, decode.loss_grad: 0.0000, loss: 0.1010, grad_norm: 0.0287 2024-01-03 17:31:11,923 - mmseg - INFO - Iter [21250/38400] lr: 2.083e-03, eta: 0:15:32, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1006, decode.loss_grad: 0.0000, loss: 0.1006, grad_norm: 0.0292 2024-01-03 17:31:14,452 - mmseg - INFO - Iter [21300/38400] lr: 2.073e-03, eta: 0:15:29, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1027, decode.loss_grad: 0.0000, loss: 0.1027, grad_norm: 0.0298 2024-01-03 17:31:16,992 - mmseg - INFO - Iter [21350/38400] lr: 2.063e-03, eta: 0:15:27, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1011, decode.loss_grad: 0.0000, loss: 0.1011, grad_norm: 0.0295 2024-01-03 17:31:19,558 - mmseg - INFO - Iter [21400/38400] lr: 2.053e-03, eta: 0:15:24, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1018, decode.loss_grad: 0.0000, loss: 0.1018, grad_norm: 0.0307 2024-01-03 17:31:22,115 - mmseg - INFO - Iter [21450/38400] lr: 2.043e-03, eta: 0:15:21, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1018, decode.loss_grad: 0.0000, loss: 0.1018, grad_norm: 0.0294 2024-01-03 17:31:24,652 - mmseg - INFO - Iter [21500/38400] lr: 2.033e-03, eta: 0:15:18, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1014, decode.loss_grad: 0.0000, loss: 0.1014, grad_norm: 0.0283 2024-01-03 17:31:27,232 - mmseg - INFO - Iter [21550/38400] lr: 2.023e-03, eta: 0:15:15, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1008, decode.loss_grad: 0.0000, loss: 0.1008, grad_norm: 0.0302 2024-01-03 17:31:29,781 - mmseg - INFO - Iter [21600/38400] lr: 2.012e-03, eta: 0:15:12, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0993, decode.loss_grad: 0.0000, loss: 0.0993, grad_norm: 0.0292 2024-01-03 17:31:32,330 - mmseg - INFO - Iter [21650/38400] lr: 2.002e-03, eta: 0:15:09, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1027, decode.loss_grad: 0.0000, loss: 0.1027, grad_norm: 0.0293 2024-01-03 17:31:34,878 - mmseg - INFO - Iter [21700/38400] lr: 1.992e-03, eta: 0:15:07, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1021, decode.loss_grad: 0.0000, loss: 0.1021, grad_norm: 0.0304 2024-01-03 17:31:37,419 - mmseg - INFO - Iter [21750/38400] lr: 1.982e-03, eta: 0:15:04, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1004, decode.loss_grad: 0.0000, loss: 0.1004, grad_norm: 0.0298 2024-01-03 17:31:39,958 - mmseg - INFO - Iter [21800/38400] lr: 1.972e-03, eta: 0:15:01, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0992, decode.loss_grad: 0.0000, loss: 0.0992, grad_norm: 0.0279 2024-01-03 17:31:42,473 - mmseg - INFO - Iter [21850/38400] lr: 1.962e-03, eta: 0:14:58, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.0975, decode.loss_grad: 0.0000, loss: 0.0975, grad_norm: 0.0295 2024-01-03 17:31:45,012 - mmseg - INFO - Iter [21900/38400] lr: 1.952e-03, eta: 0:14:55, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1043, decode.loss_grad: 0.0000, loss: 0.1043, grad_norm: 0.0305 2024-01-03 17:31:47,575 - mmseg - INFO - Iter [21950/38400] lr: 1.942e-03, eta: 0:14:52, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1016, decode.loss_grad: 0.0000, loss: 0.1016, grad_norm: 0.0298 2024-01-03 17:31:50,123 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:31:50,123 - mmseg - INFO - Iter [22000/38400] lr: 1.933e-03, eta: 0:14:50, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1020, decode.loss_grad: 0.0000, loss: 0.1020, grad_norm: 0.0302 2024-01-03 17:31:52,674 - mmseg - INFO - Iter [22050/38400] lr: 1.923e-03, eta: 0:14:47, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1004, decode.loss_grad: 0.0000, loss: 0.1004, grad_norm: 0.0303 2024-01-03 17:31:55,219 - mmseg - INFO - Iter [22100/38400] lr: 1.913e-03, eta: 0:14:44, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1012, decode.loss_grad: 0.0000, loss: 0.1012, grad_norm: 0.0303 2024-01-03 17:31:57,765 - mmseg - INFO - Iter [22150/38400] lr: 1.903e-03, eta: 0:14:41, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1011, decode.loss_grad: 0.0000, loss: 0.1011, grad_norm: 0.0295 2024-01-03 17:32:00,280 - mmseg - INFO - Iter [22200/38400] lr: 1.893e-03, eta: 0:14:38, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.1015, decode.loss_grad: 0.0000, loss: 0.1015, grad_norm: 0.0297 2024-01-03 17:32:02,859 - mmseg - INFO - Iter [22250/38400] lr: 1.883e-03, eta: 0:14:35, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1011, decode.loss_grad: 0.0000, loss: 0.1011, grad_norm: 0.0299 2024-01-03 17:32:05,406 - mmseg - INFO - Iter [22300/38400] lr: 1.873e-03, eta: 0:14:33, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1019, decode.loss_grad: 0.0000, loss: 0.1019, grad_norm: 0.0295 2024-01-03 17:32:08,086 - mmseg - INFO - Iter [22350/38400] lr: 1.863e-03, eta: 0:14:30, time: 0.054, data_time: 0.002, memory: 749, decode.loss_depth: 0.1012, decode.loss_grad: 0.0000, loss: 0.1012, grad_norm: 0.0284 2024-01-03 17:32:10,645 - mmseg - INFO - Saving checkpoint at 22400 iterations 2024-01-03 17:32:10,666 - mmseg - INFO - Iter [22400/38400] lr: 1.853e-03, eta: 0:14:27, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1011, decode.loss_grad: 0.0000, loss: 0.1011, grad_norm: 0.0284 2024-01-03 17:32:15,265 - mmseg - INFO - Summary: 2024-01-03 17:32:15,266 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.7319 | 0.9433 | 0.9877 | 0.1686 | 0.5839 | 0.073 | 0.2115 | 17.4779 | 0.1319 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:32:15,268 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/original/vit_base_patch16_224.dino/best_abs_rel_iter_19200.pth was removed 2024-01-03 17:32:15,283 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_22400.pth. 2024-01-03 17:32:15,283 - mmseg - INFO - Best abs_rel is 0.1686 at 22400 iter. 2024-01-03 17:32:15,283 - mmseg - INFO - Iter(val) [82] a1: 0.7319, a2: 0.9433, a3: 0.9877, abs_rel: 0.1686292588710785, rmse: 0.5838701128959656, log_10: 0.07299000024795532, rmse_log: 0.21150998771190643, silog: 17.4779, sq_rel: 0.13185261189937592 2024-01-03 17:32:17,819 - mmseg - INFO - Iter [22450/38400] lr: 1.843e-03, eta: 0:14:27, time: 0.143, data_time: 0.094, memory: 749, decode.loss_depth: 0.1010, decode.loss_grad: 0.0000, loss: 0.1010, grad_norm: 0.0289 2024-01-03 17:32:20,363 - mmseg - INFO - Iter [22500/38400] lr: 1.833e-03, eta: 0:14:25, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1010, decode.loss_grad: 0.0000, loss: 0.1010, grad_norm: 0.0290 2024-01-03 17:32:22,918 - mmseg - INFO - Iter [22550/38400] lr: 1.824e-03, eta: 0:14:22, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0998, decode.loss_grad: 0.0000, loss: 0.0998, grad_norm: 0.0289 2024-01-03 17:32:25,475 - mmseg - INFO - Iter [22600/38400] lr: 1.814e-03, eta: 0:14:19, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1010, decode.loss_grad: 0.0000, loss: 0.1010, grad_norm: 0.0298 2024-01-03 17:32:27,983 - mmseg - INFO - Iter [22650/38400] lr: 1.804e-03, eta: 0:14:16, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.1003, decode.loss_grad: 0.0000, loss: 0.1003, grad_norm: 0.0287 2024-01-03 17:32:30,629 - mmseg - INFO - Iter [22700/38400] lr: 1.794e-03, eta: 0:14:13, time: 0.053, data_time: 0.004, memory: 749, decode.loss_depth: 0.1034, decode.loss_grad: 0.0000, loss: 0.1034, grad_norm: 0.0302 2024-01-03 17:32:35,292 - mmseg - INFO - Iter [22750/38400] lr: 1.784e-03, eta: 0:14:12, time: 0.093, data_time: 0.043, memory: 749, decode.loss_depth: 0.0984, decode.loss_grad: 0.0000, loss: 0.0984, grad_norm: 0.0299 2024-01-03 17:32:37,848 - mmseg - INFO - Iter [22800/38400] lr: 1.774e-03, eta: 0:14:09, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1007, decode.loss_grad: 0.0000, loss: 0.1007, grad_norm: 0.0296 2024-01-03 17:32:40,381 - mmseg - INFO - Iter [22850/38400] lr: 1.765e-03, eta: 0:14:06, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0995, decode.loss_grad: 0.0000, loss: 0.0995, grad_norm: 0.0289 2024-01-03 17:32:42,941 - mmseg - INFO - Iter [22900/38400] lr: 1.755e-03, eta: 0:14:03, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0989, decode.loss_grad: 0.0000, loss: 0.0989, grad_norm: 0.0280 2024-01-03 17:32:45,488 - mmseg - INFO - Iter [22950/38400] lr: 1.745e-03, eta: 0:14:01, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0984, decode.loss_grad: 0.0000, loss: 0.0984, grad_norm: 0.0293 2024-01-03 17:32:48,000 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:32:48,000 - mmseg - INFO - Iter [23000/38400] lr: 1.735e-03, eta: 0:13:58, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.0999, decode.loss_grad: 0.0000, loss: 0.0999, grad_norm: 0.0287 2024-01-03 17:32:50,547 - mmseg - INFO - Iter [23050/38400] lr: 1.726e-03, eta: 0:13:55, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1020, decode.loss_grad: 0.0000, loss: 0.1020, grad_norm: 0.0297 2024-01-03 17:32:53,099 - mmseg - INFO - Iter [23100/38400] lr: 1.716e-03, eta: 0:13:52, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1014, decode.loss_grad: 0.0000, loss: 0.1014, grad_norm: 0.0299 2024-01-03 17:32:55,668 - mmseg - INFO - Iter [23150/38400] lr: 1.706e-03, eta: 0:13:49, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0990, decode.loss_grad: 0.0000, loss: 0.0990, grad_norm: 0.0295 2024-01-03 17:32:58,212 - mmseg - INFO - Iter [23200/38400] lr: 1.697e-03, eta: 0:13:46, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1003, decode.loss_grad: 0.0000, loss: 0.1003, grad_norm: 0.0298 2024-01-03 17:33:00,778 - mmseg - INFO - Iter [23250/38400] lr: 1.687e-03, eta: 0:13:44, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1007, decode.loss_grad: 0.0000, loss: 0.1007, grad_norm: 0.0298 2024-01-03 17:33:03,346 - mmseg - INFO - Iter [23300/38400] lr: 1.677e-03, eta: 0:13:41, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0997, decode.loss_grad: 0.0000, loss: 0.0997, grad_norm: 0.0291 2024-01-03 17:33:05,874 - mmseg - INFO - Iter [23350/38400] lr: 1.668e-03, eta: 0:13:38, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0999, decode.loss_grad: 0.0000, loss: 0.0999, grad_norm: 0.0287 2024-01-03 17:33:08,426 - mmseg - INFO - Iter [23400/38400] lr: 1.658e-03, eta: 0:13:35, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0982, decode.loss_grad: 0.0000, loss: 0.0982, grad_norm: 0.0295 2024-01-03 17:33:11,065 - mmseg - INFO - Iter [23450/38400] lr: 1.648e-03, eta: 0:13:32, time: 0.053, data_time: 0.003, memory: 749, decode.loss_depth: 0.0985, decode.loss_grad: 0.0000, loss: 0.0985, grad_norm: 0.0281 2024-01-03 17:33:13,603 - mmseg - INFO - Iter [23500/38400] lr: 1.639e-03, eta: 0:13:29, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0997, decode.loss_grad: 0.0000, loss: 0.0997, grad_norm: 0.0291 2024-01-03 17:33:16,140 - mmseg - INFO - Iter [23550/38400] lr: 1.629e-03, eta: 0:13:27, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0976, decode.loss_grad: 0.0000, loss: 0.0976, grad_norm: 0.0287 2024-01-03 17:33:18,672 - mmseg - INFO - Iter [23600/38400] lr: 1.620e-03, eta: 0:13:24, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0978, decode.loss_grad: 0.0000, loss: 0.0978, grad_norm: 0.0288 2024-01-03 17:33:21,239 - mmseg - INFO - Iter [23650/38400] lr: 1.610e-03, eta: 0:13:21, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0995, decode.loss_grad: 0.0000, loss: 0.0995, grad_norm: 0.0288 2024-01-03 17:33:23,791 - mmseg - INFO - Iter [23700/38400] lr: 1.600e-03, eta: 0:13:18, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1007, decode.loss_grad: 0.0000, loss: 0.1007, grad_norm: 0.0293 2024-01-03 17:33:26,331 - mmseg - INFO - Iter [23750/38400] lr: 1.591e-03, eta: 0:13:15, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0999, decode.loss_grad: 0.0000, loss: 0.0999, grad_norm: 0.0295 2024-01-03 17:33:28,878 - mmseg - INFO - Iter [23800/38400] lr: 1.581e-03, eta: 0:13:13, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0987, decode.loss_grad: 0.0000, loss: 0.0987, grad_norm: 0.0293 2024-01-03 17:33:31,423 - mmseg - INFO - Iter [23850/38400] lr: 1.572e-03, eta: 0:13:10, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0988, decode.loss_grad: 0.0000, loss: 0.0988, grad_norm: 0.0293 2024-01-03 17:33:33,952 - mmseg - INFO - Iter [23900/38400] lr: 1.562e-03, eta: 0:13:07, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0991, decode.loss_grad: 0.0000, loss: 0.0991, grad_norm: 0.0280 2024-01-03 17:33:36,510 - mmseg - INFO - Iter [23950/38400] lr: 1.553e-03, eta: 0:13:04, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0986, decode.loss_grad: 0.0000, loss: 0.0986, grad_norm: 0.0285 2024-01-03 17:33:39,045 - mmseg - INFO - Saving checkpoint at 24000 iterations 2024-01-03 17:33:39,062 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:33:39,062 - mmseg - INFO - Iter [24000/38400] lr: 1.543e-03, eta: 0:13:01, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1003, decode.loss_grad: 0.0000, loss: 0.1003, grad_norm: 0.0287 2024-01-03 17:33:41,606 - mmseg - INFO - Iter [24050/38400] lr: 1.534e-03, eta: 0:12:58, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1000, decode.loss_grad: 0.0000, loss: 0.1000, grad_norm: 0.0305 2024-01-03 17:33:44,152 - mmseg - INFO - Iter [24100/38400] lr: 1.525e-03, eta: 0:12:56, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1007, decode.loss_grad: 0.0000, loss: 0.1007, grad_norm: 0.0300 2024-01-03 17:33:46,719 - mmseg - INFO - Iter [24150/38400] lr: 1.515e-03, eta: 0:12:53, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0999, decode.loss_grad: 0.0000, loss: 0.0999, grad_norm: 0.0299 2024-01-03 17:33:49,266 - mmseg - INFO - Iter [24200/38400] lr: 1.506e-03, eta: 0:12:50, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0993, decode.loss_grad: 0.0000, loss: 0.0993, grad_norm: 0.0303 2024-01-03 17:33:53,863 - mmseg - INFO - Iter [24250/38400] lr: 1.496e-03, eta: 0:12:48, time: 0.092, data_time: 0.043, memory: 749, decode.loss_depth: 0.0979, decode.loss_grad: 0.0000, loss: 0.0979, grad_norm: 0.0291 2024-01-03 17:33:56,416 - mmseg - INFO - Iter [24300/38400] lr: 1.487e-03, eta: 0:12:46, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0991, decode.loss_grad: 0.0000, loss: 0.0991, grad_norm: 0.0294 2024-01-03 17:33:58,992 - mmseg - INFO - Iter [24350/38400] lr: 1.478e-03, eta: 0:12:43, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.0991, decode.loss_grad: 0.0000, loss: 0.0991, grad_norm: 0.0288 2024-01-03 17:34:01,543 - mmseg - INFO - Iter [24400/38400] lr: 1.468e-03, eta: 0:12:40, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0977, decode.loss_grad: 0.0000, loss: 0.0977, grad_norm: 0.0294 2024-01-03 17:34:04,103 - mmseg - INFO - Iter [24450/38400] lr: 1.459e-03, eta: 0:12:37, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.1003, decode.loss_grad: 0.0000, loss: 0.1003, grad_norm: 0.0293 2024-01-03 17:34:06,686 - mmseg - INFO - Iter [24500/38400] lr: 1.450e-03, eta: 0:12:34, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.0989, decode.loss_grad: 0.0000, loss: 0.0989, grad_norm: 0.0285 2024-01-03 17:34:09,253 - mmseg - INFO - Iter [24550/38400] lr: 1.441e-03, eta: 0:12:32, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0979, decode.loss_grad: 0.0000, loss: 0.0979, grad_norm: 0.0284 2024-01-03 17:34:11,798 - mmseg - INFO - Iter [24600/38400] lr: 1.431e-03, eta: 0:12:29, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0978, decode.loss_grad: 0.0000, loss: 0.0978, grad_norm: 0.0287 2024-01-03 17:34:14,353 - mmseg - INFO - Iter [24650/38400] lr: 1.422e-03, eta: 0:12:26, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0988, decode.loss_grad: 0.0000, loss: 0.0988, grad_norm: 0.0299 2024-01-03 17:34:16,887 - mmseg - INFO - Iter [24700/38400] lr: 1.413e-03, eta: 0:12:23, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0977, decode.loss_grad: 0.0000, loss: 0.0977, grad_norm: 0.0301 2024-01-03 17:34:19,411 - mmseg - INFO - Iter [24750/38400] lr: 1.404e-03, eta: 0:12:20, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.1008, decode.loss_grad: 0.0000, loss: 0.1008, grad_norm: 0.0288 2024-01-03 17:34:21,974 - mmseg - INFO - Iter [24800/38400] lr: 1.394e-03, eta: 0:12:18, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0982, decode.loss_grad: 0.0000, loss: 0.0982, grad_norm: 0.0291 2024-01-03 17:34:24,564 - mmseg - INFO - Iter [24850/38400] lr: 1.385e-03, eta: 0:12:15, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.1006, decode.loss_grad: 0.0000, loss: 0.1006, grad_norm: 0.0296 2024-01-03 17:34:27,112 - mmseg - INFO - Iter [24900/38400] lr: 1.376e-03, eta: 0:12:12, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0980, decode.loss_grad: 0.0000, loss: 0.0980, grad_norm: 0.0291 2024-01-03 17:34:29,659 - mmseg - INFO - Iter [24950/38400] lr: 1.367e-03, eta: 0:12:09, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0976, decode.loss_grad: 0.0000, loss: 0.0976, grad_norm: 0.0283 2024-01-03 17:34:32,212 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:34:32,212 - mmseg - INFO - Iter [25000/38400] lr: 1.358e-03, eta: 0:12:06, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0983, decode.loss_grad: 0.0000, loss: 0.0983, grad_norm: 0.0283 2024-01-03 17:34:34,757 - mmseg - INFO - Iter [25050/38400] lr: 1.349e-03, eta: 0:12:04, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0954, decode.loss_grad: 0.0000, loss: 0.0954, grad_norm: 0.0285 2024-01-03 17:34:37,306 - mmseg - INFO - Iter [25100/38400] lr: 1.340e-03, eta: 0:12:01, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0979, decode.loss_grad: 0.0000, loss: 0.0979, grad_norm: 0.0305 2024-01-03 17:34:39,858 - mmseg - INFO - Iter [25150/38400] lr: 1.331e-03, eta: 0:11:58, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0979, decode.loss_grad: 0.0000, loss: 0.0979, grad_norm: 0.0289 2024-01-03 17:34:42,415 - mmseg - INFO - Iter [25200/38400] lr: 1.322e-03, eta: 0:11:55, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0987, decode.loss_grad: 0.0000, loss: 0.0987, grad_norm: 0.0296 2024-01-03 17:34:44,954 - mmseg - INFO - Iter [25250/38400] lr: 1.313e-03, eta: 0:11:52, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0968, decode.loss_grad: 0.0000, loss: 0.0968, grad_norm: 0.0286 2024-01-03 17:34:47,508 - mmseg - INFO - Iter [25300/38400] lr: 1.304e-03, eta: 0:11:50, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0975, decode.loss_grad: 0.0000, loss: 0.0975, grad_norm: 0.0286 2024-01-03 17:34:50,071 - mmseg - INFO - Iter [25350/38400] lr: 1.295e-03, eta: 0:11:47, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0942, decode.loss_grad: 0.0000, loss: 0.0942, grad_norm: 0.0284 2024-01-03 17:34:52,632 - mmseg - INFO - Iter [25400/38400] lr: 1.286e-03, eta: 0:11:44, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0976, decode.loss_grad: 0.0000, loss: 0.0976, grad_norm: 0.0288 2024-01-03 17:34:55,213 - mmseg - INFO - Iter [25450/38400] lr: 1.277e-03, eta: 0:11:41, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.0987, decode.loss_grad: 0.0000, loss: 0.0987, grad_norm: 0.0293 2024-01-03 17:34:57,772 - mmseg - INFO - Iter [25500/38400] lr: 1.268e-03, eta: 0:11:38, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0966, decode.loss_grad: 0.0000, loss: 0.0966, grad_norm: 0.0278 2024-01-03 17:35:00,335 - mmseg - INFO - Iter [25550/38400] lr: 1.259e-03, eta: 0:11:36, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0982, decode.loss_grad: 0.0000, loss: 0.0982, grad_norm: 0.0294 2024-01-03 17:35:02,898 - mmseg - INFO - Saving checkpoint at 25600 iterations 2024-01-03 17:35:02,913 - mmseg - INFO - Iter [25600/38400] lr: 1.250e-03, eta: 0:11:33, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.0996, decode.loss_grad: 0.0000, loss: 0.0996, grad_norm: 0.0299 2024-01-03 17:35:07,520 - mmseg - INFO - Summary: 2024-01-03 17:35:07,520 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.7334 | 0.9445 | 0.9875 | 0.1703 | 0.5802 | 0.0727 | 0.2104 | 17.4795 | 0.1344 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:35:07,521 - mmseg - INFO - Iter(val) [82] a1: 0.7334, a2: 0.9445, a3: 0.9875, abs_rel: 0.1703399121761322, rmse: 0.5802196860313416, log_10: 0.07266753166913986, rmse_log: 0.2104179561138153, silog: 17.4795, sq_rel: 0.1343740075826645 2024-01-03 17:35:10,062 - mmseg - INFO - Iter [25650/38400] lr: 1.241e-03, eta: 0:11:32, time: 0.143, data_time: 0.094, memory: 749, decode.loss_depth: 0.0983, decode.loss_grad: 0.0000, loss: 0.0983, grad_norm: 0.0288 2024-01-03 17:35:12,586 - mmseg - INFO - Iter [25700/38400] lr: 1.233e-03, eta: 0:11:30, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.0992, decode.loss_grad: 0.0000, loss: 0.0992, grad_norm: 0.0288 2024-01-03 17:35:17,212 - mmseg - INFO - Iter [25750/38400] lr: 1.224e-03, eta: 0:11:28, time: 0.093, data_time: 0.044, memory: 749, decode.loss_depth: 0.0978, decode.loss_grad: 0.0000, loss: 0.0978, grad_norm: 0.0289 2024-01-03 17:35:19,770 - mmseg - INFO - Iter [25800/38400] lr: 1.215e-03, eta: 0:11:25, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0964, decode.loss_grad: 0.0000, loss: 0.0964, grad_norm: 0.0274 2024-01-03 17:35:22,305 - mmseg - INFO - Iter [25850/38400] lr: 1.206e-03, eta: 0:11:22, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0954, decode.loss_grad: 0.0000, loss: 0.0954, grad_norm: 0.0278 2024-01-03 17:35:24,843 - mmseg - INFO - Iter [25900/38400] lr: 1.197e-03, eta: 0:11:19, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0968, decode.loss_grad: 0.0000, loss: 0.0968, grad_norm: 0.0284 2024-01-03 17:35:27,379 - mmseg - INFO - Iter [25950/38400] lr: 1.189e-03, eta: 0:11:17, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0956, decode.loss_grad: 0.0000, loss: 0.0956, grad_norm: 0.0291 2024-01-03 17:35:29,930 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:35:29,930 - mmseg - INFO - Iter [26000/38400] lr: 1.180e-03, eta: 0:11:14, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0978, decode.loss_grad: 0.0000, loss: 0.0978, grad_norm: 0.0287 2024-01-03 17:35:32,515 - mmseg - INFO - Iter [26050/38400] lr: 1.171e-03, eta: 0:11:11, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.0969, decode.loss_grad: 0.0000, loss: 0.0969, grad_norm: 0.0284 2024-01-03 17:35:35,056 - mmseg - INFO - Iter [26100/38400] lr: 1.163e-03, eta: 0:11:08, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0964, decode.loss_grad: 0.0000, loss: 0.0964, grad_norm: 0.0292 2024-01-03 17:35:37,595 - mmseg - INFO - Iter [26150/38400] lr: 1.154e-03, eta: 0:11:05, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0962, decode.loss_grad: 0.0000, loss: 0.0962, grad_norm: 0.0286 2024-01-03 17:35:40,129 - mmseg - INFO - Iter [26200/38400] lr: 1.145e-03, eta: 0:11:03, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0986, decode.loss_grad: 0.0000, loss: 0.0986, grad_norm: 0.0306 2024-01-03 17:35:42,655 - mmseg - INFO - Iter [26250/38400] lr: 1.137e-03, eta: 0:11:00, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0973, decode.loss_grad: 0.0000, loss: 0.0973, grad_norm: 0.0286 2024-01-03 17:35:45,200 - mmseg - INFO - Iter [26300/38400] lr: 1.128e-03, eta: 0:10:57, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0963, decode.loss_grad: 0.0000, loss: 0.0963, grad_norm: 0.0282 2024-01-03 17:35:47,761 - mmseg - INFO - Iter [26350/38400] lr: 1.120e-03, eta: 0:10:54, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0952, decode.loss_grad: 0.0000, loss: 0.0952, grad_norm: 0.0298 2024-01-03 17:35:50,329 - mmseg - INFO - Iter [26400/38400] lr: 1.111e-03, eta: 0:10:51, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0977, decode.loss_grad: 0.0000, loss: 0.0977, grad_norm: 0.0304 2024-01-03 17:35:52,889 - mmseg - INFO - Iter [26450/38400] lr: 1.103e-03, eta: 0:10:49, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0974, decode.loss_grad: 0.0000, loss: 0.0974, grad_norm: 0.0289 2024-01-03 17:35:55,440 - mmseg - INFO - Iter [26500/38400] lr: 1.094e-03, eta: 0:10:46, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0970, decode.loss_grad: 0.0000, loss: 0.0970, grad_norm: 0.0290 2024-01-03 17:35:57,986 - mmseg - INFO - Iter [26550/38400] lr: 1.086e-03, eta: 0:10:43, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0965, decode.loss_grad: 0.0000, loss: 0.0965, grad_norm: 0.0286 2024-01-03 17:36:00,512 - mmseg - INFO - Iter [26600/38400] lr: 1.077e-03, eta: 0:10:40, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.0965, decode.loss_grad: 0.0000, loss: 0.0965, grad_norm: 0.0290 2024-01-03 17:36:03,049 - mmseg - INFO - Iter [26650/38400] lr: 1.069e-03, eta: 0:10:37, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0987, decode.loss_grad: 0.0000, loss: 0.0987, grad_norm: 0.0297 2024-01-03 17:36:05,606 - mmseg - INFO - Iter [26700/38400] lr: 1.061e-03, eta: 0:10:35, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0962, decode.loss_grad: 0.0000, loss: 0.0962, grad_norm: 0.0289 2024-01-03 17:36:08,167 - mmseg - INFO - Iter [26750/38400] lr: 1.052e-03, eta: 0:10:32, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0976, decode.loss_grad: 0.0000, loss: 0.0976, grad_norm: 0.0295 2024-01-03 17:36:10,705 - mmseg - INFO - Iter [26800/38400] lr: 1.044e-03, eta: 0:10:29, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0965, decode.loss_grad: 0.0000, loss: 0.0965, grad_norm: 0.0279 2024-01-03 17:36:13,273 - mmseg - INFO - Iter [26850/38400] lr: 1.036e-03, eta: 0:10:26, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0978, decode.loss_grad: 0.0000, loss: 0.0978, grad_norm: 0.0276 2024-01-03 17:36:15,829 - mmseg - INFO - Iter [26900/38400] lr: 1.027e-03, eta: 0:10:24, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0941, decode.loss_grad: 0.0000, loss: 0.0941, grad_norm: 0.0279 2024-01-03 17:36:18,388 - mmseg - INFO - Iter [26950/38400] lr: 1.019e-03, eta: 0:10:21, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0985, decode.loss_grad: 0.0000, loss: 0.0985, grad_norm: 0.0293 2024-01-03 17:36:20,937 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:36:20,937 - mmseg - INFO - Iter [27000/38400] lr: 1.011e-03, eta: 0:10:18, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0965, decode.loss_grad: 0.0000, loss: 0.0965, grad_norm: 0.0286 2024-01-03 17:36:23,498 - mmseg - INFO - Iter [27050/38400] lr: 1.003e-03, eta: 0:10:15, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0961, decode.loss_grad: 0.0000, loss: 0.0961, grad_norm: 0.0290 2024-01-03 17:36:26,029 - mmseg - INFO - Iter [27100/38400] lr: 9.945e-04, eta: 0:10:12, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0968, decode.loss_grad: 0.0000, loss: 0.0968, grad_norm: 0.0289 2024-01-03 17:36:28,572 - mmseg - INFO - Iter [27150/38400] lr: 9.864e-04, eta: 0:10:10, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0963, decode.loss_grad: 0.0000, loss: 0.0963, grad_norm: 0.0288 2024-01-03 17:36:31,124 - mmseg - INFO - Saving checkpoint at 27200 iterations 2024-01-03 17:36:31,137 - mmseg - INFO - Iter [27200/38400] lr: 9.783e-04, eta: 0:10:07, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0961, decode.loss_grad: 0.0000, loss: 0.0961, grad_norm: 0.0293 2024-01-03 17:36:33,685 - mmseg - INFO - Iter [27250/38400] lr: 9.702e-04, eta: 0:10:04, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0943, decode.loss_grad: 0.0000, loss: 0.0943, grad_norm: 0.0281 2024-01-03 17:36:38,332 - mmseg - INFO - Iter [27300/38400] lr: 9.621e-04, eta: 0:10:02, time: 0.093, data_time: 0.044, memory: 749, decode.loss_depth: 0.0965, decode.loss_grad: 0.0000, loss: 0.0965, grad_norm: 0.0295 2024-01-03 17:36:40,889 - mmseg - INFO - Iter [27350/38400] lr: 9.540e-04, eta: 0:09:59, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0946, decode.loss_grad: 0.0000, loss: 0.0946, grad_norm: 0.0271 2024-01-03 17:36:43,461 - mmseg - INFO - Iter [27400/38400] lr: 9.460e-04, eta: 0:09:57, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0942, decode.loss_grad: 0.0000, loss: 0.0942, grad_norm: 0.0280 2024-01-03 17:36:46,032 - mmseg - INFO - Iter [27450/38400] lr: 9.380e-04, eta: 0:09:54, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0969, decode.loss_grad: 0.0000, loss: 0.0969, grad_norm: 0.0284 2024-01-03 17:36:48,566 - mmseg - INFO - Iter [27500/38400] lr: 9.300e-04, eta: 0:09:51, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0949, decode.loss_grad: 0.0000, loss: 0.0949, grad_norm: 0.0280 2024-01-03 17:36:51,093 - mmseg - INFO - Iter [27550/38400] lr: 9.221e-04, eta: 0:09:48, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0954, decode.loss_grad: 0.0000, loss: 0.0954, grad_norm: 0.0275 2024-01-03 17:36:53,637 - mmseg - INFO - Iter [27600/38400] lr: 9.142e-04, eta: 0:09:45, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0959, decode.loss_grad: 0.0000, loss: 0.0959, grad_norm: 0.0295 2024-01-03 17:36:56,218 - mmseg - INFO - Iter [27650/38400] lr: 9.063e-04, eta: 0:09:43, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.0950, decode.loss_grad: 0.0000, loss: 0.0950, grad_norm: 0.0286 2024-01-03 17:36:58,763 - mmseg - INFO - Iter [27700/38400] lr: 8.984e-04, eta: 0:09:40, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0923, decode.loss_grad: 0.0000, loss: 0.0923, grad_norm: 0.0281 2024-01-03 17:37:01,278 - mmseg - INFO - Iter [27750/38400] lr: 8.906e-04, eta: 0:09:37, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.0939, decode.loss_grad: 0.0000, loss: 0.0939, grad_norm: 0.0284 2024-01-03 17:37:03,833 - mmseg - INFO - Iter [27800/38400] lr: 8.828e-04, eta: 0:09:34, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0962, decode.loss_grad: 0.0000, loss: 0.0962, grad_norm: 0.0296 2024-01-03 17:37:06,372 - mmseg - INFO - Iter [27850/38400] lr: 8.750e-04, eta: 0:09:32, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0964, decode.loss_grad: 0.0000, loss: 0.0964, grad_norm: 0.0295 2024-01-03 17:37:08,896 - mmseg - INFO - Iter [27900/38400] lr: 8.672e-04, eta: 0:09:29, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.0956, decode.loss_grad: 0.0000, loss: 0.0956, grad_norm: 0.0282 2024-01-03 17:37:11,458 - mmseg - INFO - Iter [27950/38400] lr: 8.595e-04, eta: 0:09:26, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0943, decode.loss_grad: 0.0000, loss: 0.0943, grad_norm: 0.0287 2024-01-03 17:37:14,011 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:37:14,011 - mmseg - INFO - Iter [28000/38400] lr: 8.518e-04, eta: 0:09:23, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0940, decode.loss_grad: 0.0000, loss: 0.0940, grad_norm: 0.0277 2024-01-03 17:37:16,555 - mmseg - INFO - Iter [28050/38400] lr: 8.441e-04, eta: 0:09:21, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0977, decode.loss_grad: 0.0000, loss: 0.0977, grad_norm: 0.0294 2024-01-03 17:37:19,112 - mmseg - INFO - Iter [28100/38400] lr: 8.365e-04, eta: 0:09:18, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0968, decode.loss_grad: 0.0000, loss: 0.0968, grad_norm: 0.0290 2024-01-03 17:37:21,683 - mmseg - INFO - Iter [28150/38400] lr: 8.288e-04, eta: 0:09:15, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0946, decode.loss_grad: 0.0000, loss: 0.0946, grad_norm: 0.0286 2024-01-03 17:37:24,239 - mmseg - INFO - Iter [28200/38400] lr: 8.213e-04, eta: 0:09:12, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0949, decode.loss_grad: 0.0000, loss: 0.0949, grad_norm: 0.0293 2024-01-03 17:37:26,791 - mmseg - INFO - Iter [28250/38400] lr: 8.137e-04, eta: 0:09:09, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0933, decode.loss_grad: 0.0000, loss: 0.0933, grad_norm: 0.0288 2024-01-03 17:37:29,362 - mmseg - INFO - Iter [28300/38400] lr: 8.062e-04, eta: 0:09:07, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0966, decode.loss_grad: 0.0000, loss: 0.0966, grad_norm: 0.0284 2024-01-03 17:37:31,927 - mmseg - INFO - Iter [28350/38400] lr: 7.986e-04, eta: 0:09:04, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0946, decode.loss_grad: 0.0000, loss: 0.0946, grad_norm: 0.0283 2024-01-03 17:37:34,454 - mmseg - INFO - Iter [28400/38400] lr: 7.912e-04, eta: 0:09:01, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0953, decode.loss_grad: 0.0000, loss: 0.0953, grad_norm: 0.0274 2024-01-03 17:37:36,965 - mmseg - INFO - Iter [28450/38400] lr: 7.837e-04, eta: 0:08:58, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.0967, decode.loss_grad: 0.0000, loss: 0.0967, grad_norm: 0.0287 2024-01-03 17:37:39,529 - mmseg - INFO - Iter [28500/38400] lr: 7.763e-04, eta: 0:08:56, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0943, decode.loss_grad: 0.0000, loss: 0.0943, grad_norm: 0.0293 2024-01-03 17:37:42,110 - mmseg - INFO - Iter [28550/38400] lr: 7.689e-04, eta: 0:08:53, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.0953, decode.loss_grad: 0.0000, loss: 0.0953, grad_norm: 0.0277 2024-01-03 17:37:44,678 - mmseg - INFO - Iter [28600/38400] lr: 7.615e-04, eta: 0:08:50, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0965, decode.loss_grad: 0.0000, loss: 0.0965, grad_norm: 0.0292 2024-01-03 17:37:47,201 - mmseg - INFO - Iter [28650/38400] lr: 7.542e-04, eta: 0:08:47, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.0955, decode.loss_grad: 0.0000, loss: 0.0955, grad_norm: 0.0283 2024-01-03 17:37:49,730 - mmseg - INFO - Iter [28700/38400] lr: 7.469e-04, eta: 0:08:45, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0970, decode.loss_grad: 0.0000, loss: 0.0970, grad_norm: 0.0285 2024-01-03 17:37:52,292 - mmseg - INFO - Iter [28750/38400] lr: 7.396e-04, eta: 0:08:42, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0955, decode.loss_grad: 0.0000, loss: 0.0955, grad_norm: 0.0279 2024-01-03 17:37:56,887 - mmseg - INFO - Saving checkpoint at 28800 iterations 2024-01-03 17:37:56,902 - mmseg - INFO - Iter [28800/38400] lr: 7.324e-04, eta: 0:08:40, time: 0.092, data_time: 0.043, memory: 749, decode.loss_depth: 0.0940, decode.loss_grad: 0.0000, loss: 0.0940, grad_norm: 0.0286 2024-01-03 17:38:01,511 - mmseg - INFO - Summary: 2024-01-03 17:38:01,512 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.7295 | 0.9432 | 0.9877 | 0.1704 | 0.5831 | 0.0732 | 0.2115 | 17.4716 | 0.1342 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:38:01,512 - mmseg - INFO - Iter(val) [82] a1: 0.7295, a2: 0.9432, a3: 0.9877, abs_rel: 0.17035208642482758, rmse: 0.5830807685852051, log_10: 0.07320386916399002, rmse_log: 0.2115003913640976, silog: 17.4716, sq_rel: 0.1341743767261505 2024-01-03 17:38:04,103 - mmseg - INFO - Iter [28850/38400] lr: 7.252e-04, eta: 0:08:39, time: 0.144, data_time: 0.094, memory: 749, decode.loss_depth: 0.0942, decode.loss_grad: 0.0000, loss: 0.0942, grad_norm: 0.0289 2024-01-03 17:38:06,650 - mmseg - INFO - Iter [28900/38400] lr: 7.180e-04, eta: 0:08:36, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0950, decode.loss_grad: 0.0000, loss: 0.0950, grad_norm: 0.0289 2024-01-03 17:38:09,203 - mmseg - INFO - Iter [28950/38400] lr: 7.108e-04, eta: 0:08:33, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0953, decode.loss_grad: 0.0000, loss: 0.0953, grad_norm: 0.0276 2024-01-03 17:38:11,750 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:38:11,750 - mmseg - INFO - Iter [29000/38400] lr: 7.037e-04, eta: 0:08:30, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0947, decode.loss_grad: 0.0000, loss: 0.0947, grad_norm: 0.0285 2024-01-03 17:38:14,289 - mmseg - INFO - Iter [29050/38400] lr: 6.966e-04, eta: 0:08:27, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0954, decode.loss_grad: 0.0000, loss: 0.0954, grad_norm: 0.0277 2024-01-03 17:38:16,853 - mmseg - INFO - Iter [29100/38400] lr: 6.895e-04, eta: 0:08:25, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0935, decode.loss_grad: 0.0000, loss: 0.0935, grad_norm: 0.0279 2024-01-03 17:38:19,406 - mmseg - INFO - Iter [29150/38400] lr: 6.825e-04, eta: 0:08:22, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0960, decode.loss_grad: 0.0000, loss: 0.0960, grad_norm: 0.0284 2024-01-03 17:38:21,934 - mmseg - INFO - Iter [29200/38400] lr: 6.755e-04, eta: 0:08:19, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0936, decode.loss_grad: 0.0000, loss: 0.0936, grad_norm: 0.0280 2024-01-03 17:38:24,484 - mmseg - INFO - Iter [29250/38400] lr: 6.685e-04, eta: 0:08:16, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0957, decode.loss_grad: 0.0000, loss: 0.0957, grad_norm: 0.0294 2024-01-03 17:38:27,040 - mmseg - INFO - Iter [29300/38400] lr: 6.616e-04, eta: 0:08:14, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0944, decode.loss_grad: 0.0000, loss: 0.0944, grad_norm: 0.0284 2024-01-03 17:38:29,624 - mmseg - INFO - Iter [29350/38400] lr: 6.546e-04, eta: 0:08:11, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.0956, decode.loss_grad: 0.0000, loss: 0.0956, grad_norm: 0.0287 2024-01-03 17:38:32,168 - mmseg - INFO - Iter [29400/38400] lr: 6.478e-04, eta: 0:08:08, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0938, decode.loss_grad: 0.0000, loss: 0.0938, grad_norm: 0.0283 2024-01-03 17:38:34,707 - mmseg - INFO - Iter [29450/38400] lr: 6.409e-04, eta: 0:08:05, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0956, decode.loss_grad: 0.0000, loss: 0.0956, grad_norm: 0.0286 2024-01-03 17:38:37,269 - mmseg - INFO - Iter [29500/38400] lr: 6.341e-04, eta: 0:08:03, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0935, decode.loss_grad: 0.0000, loss: 0.0935, grad_norm: 0.0280 2024-01-03 17:38:39,846 - mmseg - INFO - Iter [29550/38400] lr: 6.273e-04, eta: 0:08:00, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.0954, decode.loss_grad: 0.0000, loss: 0.0954, grad_norm: 0.0290 2024-01-03 17:38:42,389 - mmseg - INFO - Iter [29600/38400] lr: 6.205e-04, eta: 0:07:57, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0947, decode.loss_grad: 0.0000, loss: 0.0947, grad_norm: 0.0278 2024-01-03 17:38:44,927 - mmseg - INFO - Iter [29650/38400] lr: 6.138e-04, eta: 0:07:54, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0951, decode.loss_grad: 0.0000, loss: 0.0951, grad_norm: 0.0283 2024-01-03 17:38:47,473 - mmseg - INFO - Iter [29700/38400] lr: 6.071e-04, eta: 0:07:52, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0950, decode.loss_grad: 0.0000, loss: 0.0950, grad_norm: 0.0282 2024-01-03 17:38:50,023 - mmseg - INFO - Iter [29750/38400] lr: 6.004e-04, eta: 0:07:49, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0931, decode.loss_grad: 0.0000, loss: 0.0931, grad_norm: 0.0274 2024-01-03 17:38:52,569 - mmseg - INFO - Iter [29800/38400] lr: 5.938e-04, eta: 0:07:46, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0947, decode.loss_grad: 0.0000, loss: 0.0947, grad_norm: 0.0282 2024-01-03 17:38:55,096 - mmseg - INFO - Iter [29850/38400] lr: 5.872e-04, eta: 0:07:43, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0931, decode.loss_grad: 0.0000, loss: 0.0931, grad_norm: 0.0287 2024-01-03 17:38:57,648 - mmseg - INFO - Iter [29900/38400] lr: 5.806e-04, eta: 0:07:40, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0927, decode.loss_grad: 0.0000, loss: 0.0927, grad_norm: 0.0290 2024-01-03 17:39:00,206 - mmseg - INFO - Iter [29950/38400] lr: 5.741e-04, eta: 0:07:38, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0956, decode.loss_grad: 0.0000, loss: 0.0956, grad_norm: 0.0290 2024-01-03 17:39:02,782 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:39:02,782 - mmseg - INFO - Iter [30000/38400] lr: 5.676e-04, eta: 0:07:35, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.0943, decode.loss_grad: 0.0000, loss: 0.0943, grad_norm: 0.0289 2024-01-03 17:39:05,336 - mmseg - INFO - Iter [30050/38400] lr: 5.611e-04, eta: 0:07:32, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0945, decode.loss_grad: 0.0000, loss: 0.0945, grad_norm: 0.0286 2024-01-03 17:39:07,886 - mmseg - INFO - Iter [30100/38400] lr: 5.547e-04, eta: 0:07:29, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0933, decode.loss_grad: 0.0000, loss: 0.0933, grad_norm: 0.0280 2024-01-03 17:39:10,421 - mmseg - INFO - Iter [30150/38400] lr: 5.483e-04, eta: 0:07:27, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0914, decode.loss_grad: 0.0000, loss: 0.0914, grad_norm: 0.0274 2024-01-03 17:39:12,965 - mmseg - INFO - Iter [30200/38400] lr: 5.419e-04, eta: 0:07:24, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0951, decode.loss_grad: 0.0000, loss: 0.0951, grad_norm: 0.0289 2024-01-03 17:39:15,505 - mmseg - INFO - Iter [30250/38400] lr: 5.356e-04, eta: 0:07:21, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0950, decode.loss_grad: 0.0000, loss: 0.0950, grad_norm: 0.0283 2024-01-03 17:39:20,128 - mmseg - INFO - Iter [30300/38400] lr: 5.293e-04, eta: 0:07:19, time: 0.092, data_time: 0.043, memory: 749, decode.loss_depth: 0.0936, decode.loss_grad: 0.0000, loss: 0.0936, grad_norm: 0.0280 2024-01-03 17:39:22,675 - mmseg - INFO - Iter [30350/38400] lr: 5.230e-04, eta: 0:07:16, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0934, decode.loss_grad: 0.0000, loss: 0.0934, grad_norm: 0.0286 2024-01-03 17:39:25,252 - mmseg - INFO - Saving checkpoint at 30400 iterations 2024-01-03 17:39:25,263 - mmseg - INFO - Iter [30400/38400] lr: 5.167e-04, eta: 0:07:13, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.0945, decode.loss_grad: 0.0000, loss: 0.0945, grad_norm: 0.0277 2024-01-03 17:39:27,892 - mmseg - INFO - Iter [30450/38400] lr: 5.105e-04, eta: 0:07:11, time: 0.053, data_time: 0.002, memory: 749, decode.loss_depth: 0.0936, decode.loss_grad: 0.0000, loss: 0.0936, grad_norm: 0.0280 2024-01-03 17:39:30,451 - mmseg - INFO - Iter [30500/38400] lr: 5.044e-04, eta: 0:07:08, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0931, decode.loss_grad: 0.0000, loss: 0.0931, grad_norm: 0.0274 2024-01-03 17:39:32,993 - mmseg - INFO - Iter [30550/38400] lr: 4.982e-04, eta: 0:07:05, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0956, decode.loss_grad: 0.0000, loss: 0.0956, grad_norm: 0.0279 2024-01-03 17:39:35,555 - mmseg - INFO - Iter [30600/38400] lr: 4.921e-04, eta: 0:07:02, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0940, decode.loss_grad: 0.0000, loss: 0.0940, grad_norm: 0.0274 2024-01-03 17:39:38,141 - mmseg - INFO - Iter [30650/38400] lr: 4.860e-04, eta: 0:07:00, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.0925, decode.loss_grad: 0.0000, loss: 0.0925, grad_norm: 0.0284 2024-01-03 17:39:40,700 - mmseg - INFO - Iter [30700/38400] lr: 4.800e-04, eta: 0:06:57, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0928, decode.loss_grad: 0.0000, loss: 0.0928, grad_norm: 0.0284 2024-01-03 17:39:43,264 - mmseg - INFO - Iter [30750/38400] lr: 4.740e-04, eta: 0:06:54, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0941, decode.loss_grad: 0.0000, loss: 0.0941, grad_norm: 0.0288 2024-01-03 17:39:45,796 - mmseg - INFO - Iter [30800/38400] lr: 4.680e-04, eta: 0:06:51, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0943, decode.loss_grad: 0.0000, loss: 0.0943, grad_norm: 0.0289 2024-01-03 17:39:48,369 - mmseg - INFO - Iter [30850/38400] lr: 4.621e-04, eta: 0:06:49, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0908, decode.loss_grad: 0.0000, loss: 0.0908, grad_norm: 0.0267 2024-01-03 17:39:50,923 - mmseg - INFO - Iter [30900/38400] lr: 4.562e-04, eta: 0:06:46, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0953, decode.loss_grad: 0.0000, loss: 0.0953, grad_norm: 0.0289 2024-01-03 17:39:53,468 - mmseg - INFO - Iter [30950/38400] lr: 4.503e-04, eta: 0:06:43, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0926, decode.loss_grad: 0.0000, loss: 0.0926, grad_norm: 0.0289 2024-01-03 17:39:56,018 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:39:56,018 - mmseg - INFO - Iter [31000/38400] lr: 4.444e-04, eta: 0:06:40, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0950, decode.loss_grad: 0.0000, loss: 0.0950, grad_norm: 0.0275 2024-01-03 17:39:58,594 - mmseg - INFO - Iter [31050/38400] lr: 4.386e-04, eta: 0:06:38, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.0921, decode.loss_grad: 0.0000, loss: 0.0921, grad_norm: 0.0279 2024-01-03 17:40:01,172 - mmseg - INFO - Iter [31100/38400] lr: 4.329e-04, eta: 0:06:35, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.0940, decode.loss_grad: 0.0000, loss: 0.0940, grad_norm: 0.0283 2024-01-03 17:40:03,716 - mmseg - INFO - Iter [31150/38400] lr: 4.271e-04, eta: 0:06:32, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0931, decode.loss_grad: 0.0000, loss: 0.0931, grad_norm: 0.0278 2024-01-03 17:40:06,255 - mmseg - INFO - Iter [31200/38400] lr: 4.214e-04, eta: 0:06:30, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0922, decode.loss_grad: 0.0000, loss: 0.0922, grad_norm: 0.0285 2024-01-03 17:40:08,793 - mmseg - INFO - Iter [31250/38400] lr: 4.158e-04, eta: 0:06:27, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0941, decode.loss_grad: 0.0000, loss: 0.0941, grad_norm: 0.0273 2024-01-03 17:40:11,313 - mmseg - INFO - Iter [31300/38400] lr: 4.101e-04, eta: 0:06:24, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.0927, decode.loss_grad: 0.0000, loss: 0.0927, grad_norm: 0.0273 2024-01-03 17:40:13,875 - mmseg - INFO - Iter [31350/38400] lr: 4.045e-04, eta: 0:06:21, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0944, decode.loss_grad: 0.0000, loss: 0.0944, grad_norm: 0.0287 2024-01-03 17:40:16,407 - mmseg - INFO - Iter [31400/38400] lr: 3.990e-04, eta: 0:06:19, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0928, decode.loss_grad: 0.0000, loss: 0.0928, grad_norm: 0.0272 2024-01-03 17:40:19,002 - mmseg - INFO - Iter [31450/38400] lr: 3.935e-04, eta: 0:06:16, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.0927, decode.loss_grad: 0.0000, loss: 0.0927, grad_norm: 0.0273 2024-01-03 17:40:21,571 - mmseg - INFO - Iter [31500/38400] lr: 3.880e-04, eta: 0:06:13, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0922, decode.loss_grad: 0.0000, loss: 0.0922, grad_norm: 0.0277 2024-01-03 17:40:24,079 - mmseg - INFO - Iter [31550/38400] lr: 3.825e-04, eta: 0:06:10, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.0933, decode.loss_grad: 0.0000, loss: 0.0933, grad_norm: 0.0277 2024-01-03 17:40:26,625 - mmseg - INFO - Iter [31600/38400] lr: 3.771e-04, eta: 0:06:08, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0930, decode.loss_grad: 0.0000, loss: 0.0930, grad_norm: 0.0282 2024-01-03 17:40:29,162 - mmseg - INFO - Iter [31650/38400] lr: 3.717e-04, eta: 0:06:05, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0949, decode.loss_grad: 0.0000, loss: 0.0949, grad_norm: 0.0283 2024-01-03 17:40:31,676 - mmseg - INFO - Iter [31700/38400] lr: 3.664e-04, eta: 0:06:02, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.0953, decode.loss_grad: 0.0000, loss: 0.0953, grad_norm: 0.0275 2024-01-03 17:40:34,246 - mmseg - INFO - Iter [31750/38400] lr: 3.611e-04, eta: 0:05:59, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0954, decode.loss_grad: 0.0000, loss: 0.0954, grad_norm: 0.0269 2024-01-03 17:40:38,854 - mmseg - INFO - Iter [31800/38400] lr: 3.558e-04, eta: 0:05:57, time: 0.092, data_time: 0.043, memory: 749, decode.loss_depth: 0.0926, decode.loss_grad: 0.0000, loss: 0.0926, grad_norm: 0.0285 2024-01-03 17:40:41,379 - mmseg - INFO - Iter [31850/38400] lr: 3.505e-04, eta: 0:05:54, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.0898, decode.loss_grad: 0.0000, loss: 0.0898, grad_norm: 0.0277 2024-01-03 17:40:43,927 - mmseg - INFO - Iter [31900/38400] lr: 3.453e-04, eta: 0:05:52, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0925, decode.loss_grad: 0.0000, loss: 0.0925, grad_norm: 0.0288 2024-01-03 17:40:46,474 - mmseg - INFO - Iter [31950/38400] lr: 3.402e-04, eta: 0:05:49, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0941, decode.loss_grad: 0.0000, loss: 0.0941, grad_norm: 0.0286 2024-01-03 17:40:49,022 - mmseg - INFO - Saving checkpoint at 32000 iterations 2024-01-03 17:40:49,040 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:40:49,040 - mmseg - INFO - Iter [32000/38400] lr: 3.350e-04, eta: 0:05:46, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0931, decode.loss_grad: 0.0000, loss: 0.0931, grad_norm: 0.0279 2024-01-03 17:40:53,628 - mmseg - INFO - Summary: 2024-01-03 17:40:53,628 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.7315 | 0.9435 | 0.9874 | 0.1693 | 0.5821 | 0.073 | 0.211 | 17.4511 | 0.1326 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:40:53,629 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:40:53,629 - mmseg - INFO - Iter(val) [82] a1: 0.7315, a2: 0.9435, a3: 0.9874, abs_rel: 0.16934563219547272, rmse: 0.5821061134338379, log_10: 0.07296498864889145, rmse_log: 0.2110193967819214, silog: 17.4511, sq_rel: 0.1325564980506897 2024-01-03 17:40:56,150 - mmseg - INFO - Iter [32050/38400] lr: 3.299e-04, eta: 0:05:44, time: 0.142, data_time: 0.094, memory: 749, decode.loss_depth: 0.0951, decode.loss_grad: 0.0000, loss: 0.0951, grad_norm: 0.0279 2024-01-03 17:40:58,715 - mmseg - INFO - Iter [32100/38400] lr: 3.249e-04, eta: 0:05:41, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0945, decode.loss_grad: 0.0000, loss: 0.0945, grad_norm: 0.0268 2024-01-03 17:41:01,274 - mmseg - INFO - Iter [32150/38400] lr: 3.199e-04, eta: 0:05:39, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0925, decode.loss_grad: 0.0000, loss: 0.0925, grad_norm: 0.0267 2024-01-03 17:41:03,789 - mmseg - INFO - Iter [32200/38400] lr: 3.149e-04, eta: 0:05:36, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.0917, decode.loss_grad: 0.0000, loss: 0.0917, grad_norm: 0.0284 2024-01-03 17:41:06,313 - mmseg - INFO - Iter [32250/38400] lr: 3.099e-04, eta: 0:05:33, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.0926, decode.loss_grad: 0.0000, loss: 0.0926, grad_norm: 0.0280 2024-01-03 17:41:08,825 - mmseg - INFO - Iter [32300/38400] lr: 3.050e-04, eta: 0:05:30, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.0918, decode.loss_grad: 0.0000, loss: 0.0918, grad_norm: 0.0277 2024-01-03 17:41:11,384 - mmseg - INFO - Iter [32350/38400] lr: 3.001e-04, eta: 0:05:28, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0919, decode.loss_grad: 0.0000, loss: 0.0919, grad_norm: 0.0265 2024-01-03 17:41:13,921 - mmseg - INFO - Iter [32400/38400] lr: 2.953e-04, eta: 0:05:25, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0944, decode.loss_grad: 0.0000, loss: 0.0944, grad_norm: 0.0286 2024-01-03 17:41:16,497 - mmseg - INFO - Iter [32450/38400] lr: 2.905e-04, eta: 0:05:22, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.0937, decode.loss_grad: 0.0000, loss: 0.0937, grad_norm: 0.0277 2024-01-03 17:41:19,058 - mmseg - INFO - Iter [32500/38400] lr: 2.857e-04, eta: 0:05:20, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0932, decode.loss_grad: 0.0000, loss: 0.0932, grad_norm: 0.0279 2024-01-03 17:41:21,619 - mmseg - INFO - Iter [32550/38400] lr: 2.810e-04, eta: 0:05:17, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0941, decode.loss_grad: 0.0000, loss: 0.0941, grad_norm: 0.0280 2024-01-03 17:41:24,178 - mmseg - INFO - Iter [32600/38400] lr: 2.763e-04, eta: 0:05:14, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0933, decode.loss_grad: 0.0000, loss: 0.0933, grad_norm: 0.0272 2024-01-03 17:41:26,746 - mmseg - INFO - Iter [32650/38400] lr: 2.716e-04, eta: 0:05:11, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0920, decode.loss_grad: 0.0000, loss: 0.0920, grad_norm: 0.0270 2024-01-03 17:41:29,272 - mmseg - INFO - Iter [32700/38400] lr: 2.670e-04, eta: 0:05:09, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0920, decode.loss_grad: 0.0000, loss: 0.0920, grad_norm: 0.0268 2024-01-03 17:41:31,805 - mmseg - INFO - Iter [32750/38400] lr: 2.625e-04, eta: 0:05:06, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0943, decode.loss_grad: 0.0000, loss: 0.0943, grad_norm: 0.0275 2024-01-03 17:41:34,345 - mmseg - INFO - Iter [32800/38400] lr: 2.579e-04, eta: 0:05:03, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0924, decode.loss_grad: 0.0000, loss: 0.0924, grad_norm: 0.0279 2024-01-03 17:41:36,914 - mmseg - INFO - Iter [32850/38400] lr: 2.534e-04, eta: 0:05:00, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0928, decode.loss_grad: 0.0000, loss: 0.0928, grad_norm: 0.0277 2024-01-03 17:41:39,498 - mmseg - INFO - Iter [32900/38400] lr: 2.489e-04, eta: 0:04:58, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.0914, decode.loss_grad: 0.0000, loss: 0.0914, grad_norm: 0.0275 2024-01-03 17:41:42,040 - mmseg - INFO - Iter [32950/38400] lr: 2.445e-04, eta: 0:04:55, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0950, decode.loss_grad: 0.0000, loss: 0.0950, grad_norm: 0.0281 2024-01-03 17:41:44,607 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:41:44,608 - mmseg - INFO - Iter [33000/38400] lr: 2.401e-04, eta: 0:04:52, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0940, decode.loss_grad: 0.0000, loss: 0.0940, grad_norm: 0.0274 2024-01-03 17:41:47,175 - mmseg - INFO - Iter [33050/38400] lr: 2.358e-04, eta: 0:04:49, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0944, decode.loss_grad: 0.0000, loss: 0.0944, grad_norm: 0.0285 2024-01-03 17:41:49,726 - mmseg - INFO - Iter [33100/38400] lr: 2.314e-04, eta: 0:04:47, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0906, decode.loss_grad: 0.0000, loss: 0.0906, grad_norm: 0.0274 2024-01-03 17:41:52,272 - mmseg - INFO - Iter [33150/38400] lr: 2.272e-04, eta: 0:04:44, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0933, decode.loss_grad: 0.0000, loss: 0.0933, grad_norm: 0.0266 2024-01-03 17:41:54,798 - mmseg - INFO - Iter [33200/38400] lr: 2.229e-04, eta: 0:04:41, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0923, decode.loss_grad: 0.0000, loss: 0.0923, grad_norm: 0.0272 2024-01-03 17:41:57,331 - mmseg - INFO - Iter [33250/38400] lr: 2.187e-04, eta: 0:04:38, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0923, decode.loss_grad: 0.0000, loss: 0.0923, grad_norm: 0.0269 2024-01-03 17:41:59,869 - mmseg - INFO - Iter [33300/38400] lr: 2.146e-04, eta: 0:04:36, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0924, decode.loss_grad: 0.0000, loss: 0.0924, grad_norm: 0.0281 2024-01-03 17:42:04,526 - mmseg - INFO - Iter [33350/38400] lr: 2.104e-04, eta: 0:04:33, time: 0.093, data_time: 0.043, memory: 749, decode.loss_depth: 0.0920, decode.loss_grad: 0.0000, loss: 0.0920, grad_norm: 0.0281 2024-01-03 17:42:07,055 - mmseg - INFO - Iter [33400/38400] lr: 2.063e-04, eta: 0:04:31, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0921, decode.loss_grad: 0.0000, loss: 0.0921, grad_norm: 0.0263 2024-01-03 17:42:09,578 - mmseg - INFO - Iter [33450/38400] lr: 2.023e-04, eta: 0:04:28, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.0950, decode.loss_grad: 0.0000, loss: 0.0950, grad_norm: 0.0277 2024-01-03 17:42:12,142 - mmseg - INFO - Iter [33500/38400] lr: 1.983e-04, eta: 0:04:25, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0929, decode.loss_grad: 0.0000, loss: 0.0929, grad_norm: 0.0281 2024-01-03 17:42:14,685 - mmseg - INFO - Iter [33550/38400] lr: 1.943e-04, eta: 0:04:22, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0946, decode.loss_grad: 0.0000, loss: 0.0946, grad_norm: 0.0278 2024-01-03 17:42:17,235 - mmseg - INFO - Saving checkpoint at 33600 iterations 2024-01-03 17:42:17,250 - mmseg - INFO - Iter [33600/38400] lr: 1.904e-04, eta: 0:04:20, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0932, decode.loss_grad: 0.0000, loss: 0.0932, grad_norm: 0.0277 2024-01-03 17:42:19,804 - mmseg - INFO - Iter [33650/38400] lr: 1.865e-04, eta: 0:04:17, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0912, decode.loss_grad: 0.0000, loss: 0.0912, grad_norm: 0.0272 2024-01-03 17:42:22,360 - mmseg - INFO - Iter [33700/38400] lr: 1.826e-04, eta: 0:04:14, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0924, decode.loss_grad: 0.0000, loss: 0.0924, grad_norm: 0.0280 2024-01-03 17:42:24,889 - mmseg - INFO - Iter [33750/38400] lr: 1.788e-04, eta: 0:04:11, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0918, decode.loss_grad: 0.0000, loss: 0.0918, grad_norm: 0.0274 2024-01-03 17:42:27,442 - mmseg - INFO - Iter [33800/38400] lr: 1.750e-04, eta: 0:04:09, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0925, decode.loss_grad: 0.0000, loss: 0.0925, grad_norm: 0.0280 2024-01-03 17:42:29,995 - mmseg - INFO - Iter [33850/38400] lr: 1.713e-04, eta: 0:04:06, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0913, decode.loss_grad: 0.0000, loss: 0.0913, grad_norm: 0.0279 2024-01-03 17:42:32,557 - mmseg - INFO - Iter [33900/38400] lr: 1.676e-04, eta: 0:04:03, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0924, decode.loss_grad: 0.0000, loss: 0.0924, grad_norm: 0.0280 2024-01-03 17:42:35,112 - mmseg - INFO - Iter [33950/38400] lr: 1.639e-04, eta: 0:04:01, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0900, decode.loss_grad: 0.0000, loss: 0.0900, grad_norm: 0.0268 2024-01-03 17:42:37,668 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:42:37,668 - mmseg - INFO - Iter [34000/38400] lr: 1.603e-04, eta: 0:03:58, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0906, decode.loss_grad: 0.0000, loss: 0.0906, grad_norm: 0.0265 2024-01-03 17:42:40,179 - mmseg - INFO - Iter [34050/38400] lr: 1.567e-04, eta: 0:03:55, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.0948, decode.loss_grad: 0.0000, loss: 0.0948, grad_norm: 0.0281 2024-01-03 17:42:42,739 - mmseg - INFO - Iter [34100/38400] lr: 1.532e-04, eta: 0:03:52, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0920, decode.loss_grad: 0.0000, loss: 0.0920, grad_norm: 0.0265 2024-01-03 17:42:45,320 - mmseg - INFO - Iter [34150/38400] lr: 1.497e-04, eta: 0:03:50, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.0917, decode.loss_grad: 0.0000, loss: 0.0917, grad_norm: 0.0276 2024-01-03 17:42:47,868 - mmseg - INFO - Iter [34200/38400] lr: 1.462e-04, eta: 0:03:47, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0924, decode.loss_grad: 0.0000, loss: 0.0924, grad_norm: 0.0269 2024-01-03 17:42:50,431 - mmseg - INFO - Iter [34250/38400] lr: 1.428e-04, eta: 0:03:44, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0938, decode.loss_grad: 0.0000, loss: 0.0938, grad_norm: 0.0272 2024-01-03 17:42:53,003 - mmseg - INFO - Iter [34300/38400] lr: 1.394e-04, eta: 0:03:41, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0937, decode.loss_grad: 0.0000, loss: 0.0937, grad_norm: 0.0266 2024-01-03 17:42:55,552 - mmseg - INFO - Iter [34350/38400] lr: 1.360e-04, eta: 0:03:39, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0927, decode.loss_grad: 0.0000, loss: 0.0927, grad_norm: 0.0267 2024-01-03 17:42:58,091 - mmseg - INFO - Iter [34400/38400] lr: 1.327e-04, eta: 0:03:36, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0929, decode.loss_grad: 0.0000, loss: 0.0929, grad_norm: 0.0267 2024-01-03 17:43:00,667 - mmseg - INFO - Iter [34450/38400] lr: 1.295e-04, eta: 0:03:33, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.0898, decode.loss_grad: 0.0000, loss: 0.0898, grad_norm: 0.0264 2024-01-03 17:43:03,235 - mmseg - INFO - Iter [34500/38400] lr: 1.262e-04, eta: 0:03:31, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0928, decode.loss_grad: 0.0000, loss: 0.0928, grad_norm: 0.0280 2024-01-03 17:43:05,761 - mmseg - INFO - Iter [34550/38400] lr: 1.231e-04, eta: 0:03:28, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0924, decode.loss_grad: 0.0000, loss: 0.0924, grad_norm: 0.0280 2024-01-03 17:43:08,330 - mmseg - INFO - Iter [34600/38400] lr: 1.199e-04, eta: 0:03:25, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0930, decode.loss_grad: 0.0000, loss: 0.0930, grad_norm: 0.0278 2024-01-03 17:43:10,880 - mmseg - INFO - Iter [34650/38400] lr: 1.168e-04, eta: 0:03:22, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0931, decode.loss_grad: 0.0000, loss: 0.0931, grad_norm: 0.0269 2024-01-03 17:43:13,387 - mmseg - INFO - Iter [34700/38400] lr: 1.137e-04, eta: 0:03:20, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.0924, decode.loss_grad: 0.0000, loss: 0.0924, grad_norm: 0.0284 2024-01-03 17:43:15,933 - mmseg - INFO - Iter [34750/38400] lr: 1.107e-04, eta: 0:03:17, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0922, decode.loss_grad: 0.0000, loss: 0.0922, grad_norm: 0.0270 2024-01-03 17:43:18,487 - mmseg - INFO - Iter [34800/38400] lr: 1.077e-04, eta: 0:03:14, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0928, decode.loss_grad: 0.0000, loss: 0.0928, grad_norm: 0.0272 2024-01-03 17:43:23,113 - mmseg - INFO - Iter [34850/38400] lr: 1.048e-04, eta: 0:03:12, time: 0.093, data_time: 0.043, memory: 749, decode.loss_depth: 0.0899, decode.loss_grad: 0.0000, loss: 0.0899, grad_norm: 0.0264 2024-01-03 17:43:25,655 - mmseg - INFO - Iter [34900/38400] lr: 1.018e-04, eta: 0:03:09, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0915, decode.loss_grad: 0.0000, loss: 0.0915, grad_norm: 0.0278 2024-01-03 17:43:28,266 - mmseg - INFO - Iter [34950/38400] lr: 9.898e-05, eta: 0:03:06, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.0938, decode.loss_grad: 0.0000, loss: 0.0938, grad_norm: 0.0265 2024-01-03 17:43:30,781 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:43:30,781 - mmseg - INFO - Iter [35000/38400] lr: 9.615e-05, eta: 0:03:04, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.0924, decode.loss_grad: 0.0000, loss: 0.0924, grad_norm: 0.0267 2024-01-03 17:43:33,336 - mmseg - INFO - Iter [35050/38400] lr: 9.336e-05, eta: 0:03:01, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0923, decode.loss_grad: 0.0000, loss: 0.0923, grad_norm: 0.0271 2024-01-03 17:43:35,883 - mmseg - INFO - Iter [35100/38400] lr: 9.061e-05, eta: 0:02:58, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0919, decode.loss_grad: 0.0000, loss: 0.0919, grad_norm: 0.0261 2024-01-03 17:43:38,431 - mmseg - INFO - Iter [35150/38400] lr: 8.791e-05, eta: 0:02:55, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0923, decode.loss_grad: 0.0000, loss: 0.0923, grad_norm: 0.0263 2024-01-03 17:43:40,996 - mmseg - INFO - Saving checkpoint at 35200 iterations 2024-01-03 17:43:41,011 - mmseg - INFO - Iter [35200/38400] lr: 8.524e-05, eta: 0:02:53, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.0933, decode.loss_grad: 0.0000, loss: 0.0933, grad_norm: 0.0273 2024-01-03 17:43:45,610 - mmseg - INFO - Summary: 2024-01-03 17:43:45,610 - mmseg - INFO - +--------+-------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+-------+--------+---------+--------+--------+----------+---------+--------+ | 0.7301 | 0.943 | 0.9875 | 0.17 | 0.5836 | 0.0732 | 0.2116 | 17.4876 | 0.1338 | +--------+-------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:43:45,610 - mmseg - INFO - Iter(val) [82] a1: 0.7301, a2: 0.9430, a3: 0.9875, abs_rel: 0.17003832757472992, rmse: 0.5836363434791565, log_10: 0.07319224625825882, rmse_log: 0.2116175889968872, silog: 17.4876, sq_rel: 0.1337817758321762 2024-01-03 17:43:48,169 - mmseg - INFO - Iter [35250/38400] lr: 8.261e-05, eta: 0:02:50, time: 0.143, data_time: 0.094, memory: 749, decode.loss_depth: 0.0927, decode.loss_grad: 0.0000, loss: 0.0927, grad_norm: 0.0272 2024-01-03 17:43:50,741 - mmseg - INFO - Iter [35300/38400] lr: 8.002e-05, eta: 0:02:48, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0898, decode.loss_grad: 0.0000, loss: 0.0898, grad_norm: 0.0271 2024-01-03 17:43:53,294 - mmseg - INFO - Iter [35350/38400] lr: 7.748e-05, eta: 0:02:45, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0914, decode.loss_grad: 0.0000, loss: 0.0914, grad_norm: 0.0269 2024-01-03 17:43:55,839 - mmseg - INFO - Iter [35400/38400] lr: 7.497e-05, eta: 0:02:42, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0926, decode.loss_grad: 0.0000, loss: 0.0926, grad_norm: 0.0268 2024-01-03 17:43:58,408 - mmseg - INFO - Iter [35450/38400] lr: 7.251e-05, eta: 0:02:39, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0935, decode.loss_grad: 0.0000, loss: 0.0935, grad_norm: 0.0274 2024-01-03 17:44:00,933 - mmseg - INFO - Iter [35500/38400] lr: 7.008e-05, eta: 0:02:37, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.0918, decode.loss_grad: 0.0000, loss: 0.0918, grad_norm: 0.0268 2024-01-03 17:44:03,468 - mmseg - INFO - Iter [35550/38400] lr: 6.770e-05, eta: 0:02:34, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0935, decode.loss_grad: 0.0000, loss: 0.0935, grad_norm: 0.0275 2024-01-03 17:44:06,001 - mmseg - INFO - Iter [35600/38400] lr: 6.535e-05, eta: 0:02:31, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0928, decode.loss_grad: 0.0000, loss: 0.0928, grad_norm: 0.0277 2024-01-03 17:44:08,549 - mmseg - INFO - Iter [35650/38400] lr: 6.305e-05, eta: 0:02:29, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0890, decode.loss_grad: 0.0000, loss: 0.0890, grad_norm: 0.0265 2024-01-03 17:44:11,111 - mmseg - INFO - Iter [35700/38400] lr: 6.079e-05, eta: 0:02:26, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0913, decode.loss_grad: 0.0000, loss: 0.0913, grad_norm: 0.0269 2024-01-03 17:44:13,663 - mmseg - INFO - Iter [35750/38400] lr: 5.857e-05, eta: 0:02:23, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0914, decode.loss_grad: 0.0000, loss: 0.0914, grad_norm: 0.0263 2024-01-03 17:44:16,196 - mmseg - INFO - Iter [35800/38400] lr: 5.639e-05, eta: 0:02:20, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0920, decode.loss_grad: 0.0000, loss: 0.0920, grad_norm: 0.0265 2024-01-03 17:44:18,739 - mmseg - INFO - Iter [35850/38400] lr: 5.425e-05, eta: 0:02:18, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0903, decode.loss_grad: 0.0000, loss: 0.0903, grad_norm: 0.0258 2024-01-03 17:44:21,268 - mmseg - INFO - Iter [35900/38400] lr: 5.215e-05, eta: 0:02:15, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0926, decode.loss_grad: 0.0000, loss: 0.0926, grad_norm: 0.0265 2024-01-03 17:44:23,824 - mmseg - INFO - Iter [35950/38400] lr: 5.009e-05, eta: 0:02:12, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0911, decode.loss_grad: 0.0000, loss: 0.0911, grad_norm: 0.0268 2024-01-03 17:44:26,368 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:44:26,369 - mmseg - INFO - Iter [36000/38400] lr: 4.808e-05, eta: 0:02:10, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0914, decode.loss_grad: 0.0000, loss: 0.0914, grad_norm: 0.0278 2024-01-03 17:44:28,934 - mmseg - INFO - Iter [36050/38400] lr: 4.610e-05, eta: 0:02:07, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0922, decode.loss_grad: 0.0000, loss: 0.0922, grad_norm: 0.0270 2024-01-03 17:44:31,483 - mmseg - INFO - Iter [36100/38400] lr: 4.417e-05, eta: 0:02:04, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0927, decode.loss_grad: 0.0000, loss: 0.0927, grad_norm: 0.0266 2024-01-03 17:44:34,016 - mmseg - INFO - Iter [36150/38400] lr: 4.227e-05, eta: 0:02:01, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0920, decode.loss_grad: 0.0000, loss: 0.0920, grad_norm: 0.0268 2024-01-03 17:44:36,555 - mmseg - INFO - Iter [36200/38400] lr: 4.042e-05, eta: 0:01:59, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0908, decode.loss_grad: 0.0000, loss: 0.0908, grad_norm: 0.0262 2024-01-03 17:44:39,127 - mmseg - INFO - Iter [36250/38400] lr: 3.861e-05, eta: 0:01:56, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0932, decode.loss_grad: 0.0000, loss: 0.0932, grad_norm: 0.0274 2024-01-03 17:44:41,693 - mmseg - INFO - Iter [36300/38400] lr: 3.684e-05, eta: 0:01:53, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0920, decode.loss_grad: 0.0000, loss: 0.0920, grad_norm: 0.0271 2024-01-03 17:44:46,331 - mmseg - INFO - Iter [36350/38400] lr: 3.511e-05, eta: 0:01:51, time: 0.093, data_time: 0.043, memory: 749, decode.loss_depth: 0.0920, decode.loss_grad: 0.0000, loss: 0.0920, grad_norm: 0.0259 2024-01-03 17:44:48,865 - mmseg - INFO - Iter [36400/38400] lr: 3.343e-05, eta: 0:01:48, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0917, decode.loss_grad: 0.0000, loss: 0.0917, grad_norm: 0.0268 2024-01-03 17:44:51,392 - mmseg - INFO - Iter [36450/38400] lr: 3.178e-05, eta: 0:01:45, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0903, decode.loss_grad: 0.0000, loss: 0.0903, grad_norm: 0.0261 2024-01-03 17:44:53,947 - mmseg - INFO - Iter [36500/38400] lr: 3.017e-05, eta: 0:01:42, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0899, decode.loss_grad: 0.0000, loss: 0.0899, grad_norm: 0.0261 2024-01-03 17:44:56,491 - mmseg - INFO - Iter [36550/38400] lr: 2.861e-05, eta: 0:01:40, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0928, decode.loss_grad: 0.0000, loss: 0.0928, grad_norm: 0.0270 2024-01-03 17:44:59,042 - mmseg - INFO - Iter [36600/38400] lr: 2.709e-05, eta: 0:01:37, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0929, decode.loss_grad: 0.0000, loss: 0.0929, grad_norm: 0.0269 2024-01-03 17:45:01,593 - mmseg - INFO - Iter [36650/38400] lr: 2.561e-05, eta: 0:01:34, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0916, decode.loss_grad: 0.0000, loss: 0.0916, grad_norm: 0.0271 2024-01-03 17:45:04,115 - mmseg - INFO - Iter [36700/38400] lr: 2.417e-05, eta: 0:01:32, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.0910, decode.loss_grad: 0.0000, loss: 0.0910, grad_norm: 0.0265 2024-01-03 17:45:06,676 - mmseg - INFO - Iter [36750/38400] lr: 2.277e-05, eta: 0:01:29, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0918, decode.loss_grad: 0.0000, loss: 0.0918, grad_norm: 0.0267 2024-01-03 17:45:09,224 - mmseg - INFO - Saving checkpoint at 36800 iterations 2024-01-03 17:45:09,238 - mmseg - INFO - Iter [36800/38400] lr: 2.141e-05, eta: 0:01:26, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0930, decode.loss_grad: 0.0000, loss: 0.0930, grad_norm: 0.0278 2024-01-03 17:45:11,820 - mmseg - INFO - Iter [36850/38400] lr: 2.010e-05, eta: 0:01:23, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.0916, decode.loss_grad: 0.0000, loss: 0.0916, grad_norm: 0.0271 2024-01-03 17:45:14,367 - mmseg - INFO - Iter [36900/38400] lr: 1.883e-05, eta: 0:01:21, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0940, decode.loss_grad: 0.0000, loss: 0.0940, grad_norm: 0.0278 2024-01-03 17:45:16,904 - mmseg - INFO - Iter [36950/38400] lr: 1.759e-05, eta: 0:01:18, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0915, decode.loss_grad: 0.0000, loss: 0.0915, grad_norm: 0.0272 2024-01-03 17:45:19,478 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:45:19,478 - mmseg - INFO - Iter [37000/38400] lr: 1.640e-05, eta: 0:01:15, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0898, decode.loss_grad: 0.0000, loss: 0.0898, grad_norm: 0.0266 2024-01-03 17:45:22,064 - mmseg - INFO - Iter [37050/38400] lr: 1.526e-05, eta: 0:01:13, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.0908, decode.loss_grad: 0.0000, loss: 0.0908, grad_norm: 0.0266 2024-01-03 17:45:24,582 - mmseg - INFO - Iter [37100/38400] lr: 1.415e-05, eta: 0:01:10, time: 0.050, data_time: 0.002, memory: 749, decode.loss_depth: 0.0923, decode.loss_grad: 0.0000, loss: 0.0923, grad_norm: 0.0265 2024-01-03 17:45:27,135 - mmseg - INFO - Iter [37150/38400] lr: 1.308e-05, eta: 0:01:07, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0902, decode.loss_grad: 0.0000, loss: 0.0902, grad_norm: 0.0264 2024-01-03 17:45:29,685 - mmseg - INFO - Iter [37200/38400] lr: 1.206e-05, eta: 0:01:04, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0921, decode.loss_grad: 0.0000, loss: 0.0921, grad_norm: 0.0269 2024-01-03 17:45:32,231 - mmseg - INFO - Iter [37250/38400] lr: 1.108e-05, eta: 0:01:02, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0924, decode.loss_grad: 0.0000, loss: 0.0924, grad_norm: 0.0271 2024-01-03 17:45:34,773 - mmseg - INFO - Iter [37300/38400] lr: 1.014e-05, eta: 0:00:59, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0929, decode.loss_grad: 0.0000, loss: 0.0929, grad_norm: 0.0265 2024-01-03 17:45:37,340 - mmseg - INFO - Iter [37350/38400] lr: 9.236e-06, eta: 0:00:56, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0941, decode.loss_grad: 0.0000, loss: 0.0941, grad_norm: 0.0267 2024-01-03 17:45:39,876 - mmseg - INFO - Iter [37400/38400] lr: 8.379e-06, eta: 0:00:54, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0916, decode.loss_grad: 0.0000, loss: 0.0916, grad_norm: 0.0269 2024-01-03 17:45:42,408 - mmseg - INFO - Iter [37450/38400] lr: 7.563e-06, eta: 0:00:51, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0920, decode.loss_grad: 0.0000, loss: 0.0920, grad_norm: 0.0273 2024-01-03 17:45:44,982 - mmseg - INFO - Iter [37500/38400] lr: 6.789e-06, eta: 0:00:48, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0916, decode.loss_grad: 0.0000, loss: 0.0916, grad_norm: 0.0271 2024-01-03 17:45:47,552 - mmseg - INFO - Iter [37550/38400] lr: 6.057e-06, eta: 0:00:45, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0924, decode.loss_grad: 0.0000, loss: 0.0924, grad_norm: 0.0253 2024-01-03 17:45:50,094 - mmseg - INFO - Iter [37600/38400] lr: 5.366e-06, eta: 0:00:43, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0925, decode.loss_grad: 0.0000, loss: 0.0925, grad_norm: 0.0273 2024-01-03 17:45:52,646 - mmseg - INFO - Iter [37650/38400] lr: 4.717e-06, eta: 0:00:40, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0925, decode.loss_grad: 0.0000, loss: 0.0925, grad_norm: 0.0266 2024-01-03 17:45:55,213 - mmseg - INFO - Iter [37700/38400] lr: 4.110e-06, eta: 0:00:37, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0899, decode.loss_grad: 0.0000, loss: 0.0899, grad_norm: 0.0268 2024-01-03 17:45:57,760 - 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: 0.0935, decode.loss_grad: 0.0000, loss: 0.0935, grad_norm: 0.0272 2024-01-03 17:46:00,288 - mmseg - INFO - Iter [37800/38400] lr: 3.021e-06, eta: 0:00:32, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0922, decode.loss_grad: 0.0000, loss: 0.0922, grad_norm: 0.0267 2024-01-03 17:46:02,884 - mmseg - INFO - Iter [37850/38400] lr: 2.540e-06, eta: 0:00:29, time: 0.052, data_time: 0.004, memory: 749, decode.loss_depth: 0.0917, decode.loss_grad: 0.0000, loss: 0.0917, grad_norm: 0.0270 2024-01-03 17:46:07,516 - mmseg - INFO - Iter [37900/38400] lr: 2.100e-06, eta: 0:00:27, time: 0.093, data_time: 0.043, memory: 749, decode.loss_depth: 0.0915, decode.loss_grad: 0.0000, loss: 0.0915, grad_norm: 0.0268 2024-01-03 17:46:10,092 - mmseg - INFO - Iter [37950/38400] lr: 1.702e-06, eta: 0:00:24, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.0916, decode.loss_grad: 0.0000, loss: 0.0916, grad_norm: 0.0265 2024-01-03 17:46:12,637 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:46:12,637 - mmseg - INFO - Iter [38000/38400] lr: 1.345e-06, eta: 0:00:21, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0931, decode.loss_grad: 0.0000, loss: 0.0931, grad_norm: 0.0262 2024-01-03 17:46:15,194 - mmseg - INFO - Iter [38050/38400] lr: 1.031e-06, eta: 0:00:18, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0909, decode.loss_grad: 0.0000, loss: 0.0909, grad_norm: 0.0273 2024-01-03 17:46:17,771 - mmseg - INFO - Iter [38100/38400] lr: 7.580e-07, eta: 0:00:16, time: 0.052, data_time: 0.002, memory: 749, decode.loss_depth: 0.0905, decode.loss_grad: 0.0000, loss: 0.0905, grad_norm: 0.0254 2024-01-03 17:46:20,322 - mmseg - INFO - Iter [38150/38400] lr: 5.271e-07, eta: 0:00:13, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0892, decode.loss_grad: 0.0000, loss: 0.0892, grad_norm: 0.0272 2024-01-03 17:46:22,890 - mmseg - INFO - Iter [38200/38400] lr: 3.381e-07, eta: 0:00:10, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0912, decode.loss_grad: 0.0000, loss: 0.0912, grad_norm: 0.0267 2024-01-03 17:46:25,446 - 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: 0.0906, decode.loss_grad: 0.0000, loss: 0.0906, grad_norm: 0.0267 2024-01-03 17:46:27,984 - mmseg - INFO - Iter [38300/38400] lr: 8.540e-08, eta: 0:00:05, time: 0.051, data_time: 0.002, memory: 749, decode.loss_depth: 0.0915, decode.loss_grad: 0.0000, loss: 0.0915, grad_norm: 0.0271 2024-01-03 17:46:30,553 - 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: 0.0922, decode.loss_grad: 0.0000, loss: 0.0922, grad_norm: 0.0271 2024-01-03 17:46:33,102 - mmseg - INFO - Saving checkpoint at 38400 iterations 2024-01-03 17:46:33,116 - 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: 0.0936, decode.loss_grad: 0.0000, loss: 0.0936, grad_norm: 0.0264 2024-01-03 17:46:37,730 - mmseg - INFO - Summary: 2024-01-03 17:46:37,730 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.7305 | 0.9432 | 0.9875 | 0.1701 | 0.5832 | 0.0732 | 0.2115 | 17.4971 | 0.1337 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:46:37,730 - mmseg - INFO - Iter(val) [82] a1: 0.7305, a2: 0.9432, a3: 0.9875, abs_rel: 0.17011307179927826, rmse: 0.5831918120384216, log_10: 0.07315046340227127, rmse_log: 0.21150755882263184, silog: 17.4971, sq_rel: 0.13373510539531708