2024-01-03 21:20:27,125 - mmseg - INFO - Environment info: ------------------------------------------------------------ sys.platform: linux Python: 3.9.18 (main, Sep 11 2023, 13:41:44) [GCC 11.2.0] CUDA available: True GPU 0,1,2,3,4,5,6,7: Tesla V100-SXM2-32GB-LS CUDA_HOME: /usr/local/cuda NVCC: Cuda compilation tools, release 11.3, V11.3.58 GCC: gcc (Ubuntu 9.3.0-17ubuntu1~20.04) 9.3.0 PyTorch: 2.0.0+cu117 PyTorch compiling details: PyTorch built with: - GCC 9.3 - C++ Version: 201703 - Intel(R) oneAPI Math Kernel Library Version 2022.2-Product Build 20220804 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.7.3 (Git Hash 6dbeffbae1f23cbbeae17adb7b5b13f1f37c080e) - OpenMP 201511 (a.k.a. OpenMP 4.5) - LAPACK is enabled (usually provided by MKL) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.7 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 - CuDNN 8.5 - Magma 2.6.1 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.7, CUDNN_VERSION=8.5.0, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_DISABLE_GPU_ASSERTS=ON, TORCH_VERSION=2.0.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=1, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, TorchVision: 0.15.0+cu117 OpenCV: 4.8.1 MMCV: 1.5.0 MMCV Compiler: GCC 9.3 MMCV CUDA Compiler: 11.3 MMSegmentation: 0.27.0+fb51178 ------------------------------------------------------------ 2024-01-03 21:20:27,126 - mmseg - INFO - Distributed training: True 2024-01-03 21:20:27,127 - 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/deit3_base_patch16_224.fb_in1k', 'gpu_ids': range(0, 1)} 2024-01-03 21:20:35,854 - mmseg - INFO - Loading backbone from deit3_base_patch16_224.fb_in1k 2024-01-03 21:20:35,913 - mmseg - INFO - DepthEncoderDecoder( (backbone): DinoVisionTransformer() (decode_head): BNHead( align_corners=False (loss_decode): ModuleList( (0): SigLoss() (1): GradientLoss() ) (softmax): Softmax(dim=1) (conv_depth): Conv2d(1536, 256, kernel_size=(1, 1), stride=(1, 1)) (relu): ReLU() (sigmoid): Sigmoid() ) ) 2024-01-03 21:20:36,111 - mmseg - INFO - Loaded 24231 images. Totally 0 invalid pairs are filtered 2024-01-03 21:20:36,905 - mmseg - INFO - Loaded 654 images. Totally 0 invalid pairs are filtered 2024-01-03 21:20:36,906 - mmseg - INFO - Start running, host: root, work_dir: ./work_dirs/depth_eval/nyu_paper/original/deit3_base_patch16_224.fb_in1k 2024-01-03 21:20:36,906 - mmseg - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) CosineAnnealingLrUpdaterHook (HIGH ) OneCycleMomentumUpdaterHook (NORMAL ) CheckpointHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_train_epoch: (VERY_HIGH ) CosineAnnealingLrUpdaterHook (HIGH ) OneCycleMomentumUpdaterHook (LOW ) IterTimerHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_train_iter: (VERY_HIGH ) CosineAnnealingLrUpdaterHook (HIGH ) OneCycleMomentumUpdaterHook (LOW ) IterTimerHook (LOW ) DistEvalHook -------------------- after_train_iter: (ABOVE_NORMAL) OptimizerHook (NORMAL ) CheckpointHook (LOW ) IterTimerHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- after_train_epoch: (NORMAL ) CheckpointHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_val_epoch: (LOW ) IterTimerHook (VERY_LOW ) TextLoggerHook -------------------- before_val_iter: (LOW ) IterTimerHook -------------------- after_val_iter: (LOW ) IterTimerHook -------------------- after_val_epoch: (VERY_LOW ) TextLoggerHook -------------------- after_run: (VERY_LOW ) TextLoggerHook -------------------- 2024-01-03 21:20:36,906 - mmseg - INFO - workflow: [('train', 1)], max: 38400 iters 2024-01-03 21:20:36,907 - mmseg - INFO - Checkpoints will be saved to ./work_dirs/depth_eval/nyu_paper/original/deit3_base_patch16_224.fb_in1k by HardDiskBackend. 2024-01-03 21:21:06,312 - mmseg - INFO - Iter [50/38400] lr: 2.412e-05, eta: 2:01:48, time: 0.191, data_time: 0.007, memory: 745, decode.loss_depth: 0.2246, decode.loss_grad: 0.0000, loss: 0.2246, grad_norm: 0.6228 2024-01-03 21:21:11,709 - mmseg - INFO - Iter [100/38400] lr: 4.363e-05, eta: 1:35:17, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.0911, decode.loss_grad: 0.0000, loss: 0.0911, grad_norm: 0.3415 2024-01-03 21:21:17,041 - mmseg - INFO - Iter [150/38400] lr: 6.314e-05, eta: 1:26:06, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.4255, decode.loss_grad: 0.0000, loss: 0.4255, grad_norm: 0.1954 2024-01-03 21:21:22,433 - mmseg - INFO - Iter [200/38400] lr: 8.265e-05, eta: 1:21:39, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.3740, decode.loss_grad: 0.0000, loss: 0.3740, grad_norm: 0.1834 2024-01-03 21:21:27,796 - mmseg - INFO - Iter [250/38400] lr: 1.022e-04, eta: 1:18:51, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.3312, decode.loss_grad: 0.0000, loss: 0.3312, grad_norm: 0.2131 2024-01-03 21:21:33,117 - mmseg - INFO - Iter [300/38400] lr: 1.217e-04, eta: 1:16:54, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.2949, decode.loss_grad: 0.0000, loss: 0.2949, grad_norm: 0.2149 2024-01-03 21:21:38,460 - mmseg - INFO - Iter [350/38400] lr: 1.412e-04, eta: 1:15:30, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.2807, decode.loss_grad: 0.0000, loss: 0.2807, grad_norm: 0.2278 2024-01-03 21:21:43,825 - mmseg - INFO - Iter [400/38400] lr: 1.607e-04, eta: 1:14:28, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.2580, decode.loss_grad: 0.0000, loss: 0.2580, grad_norm: 0.2204 2024-01-03 21:21:49,173 - mmseg - INFO - Iter [450/38400] lr: 1.802e-04, eta: 1:13:38, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.2515, decode.loss_grad: 0.0000, loss: 0.2515, grad_norm: 0.2239 2024-01-03 21:21:54,540 - mmseg - INFO - Iter [500/38400] lr: 1.996e-04, eta: 1:12:57, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.2498, decode.loss_grad: 0.0000, loss: 0.2498, grad_norm: 0.2225 2024-01-03 21:21:59,876 - mmseg - INFO - Iter [550/38400] lr: 2.191e-04, eta: 1:12:21, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.2517, decode.loss_grad: 0.0000, loss: 0.2517, grad_norm: 0.2108 2024-01-03 21:22:05,244 - mmseg - INFO - Iter [600/38400] lr: 2.386e-04, eta: 1:11:52, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.2384, decode.loss_grad: 0.0000, loss: 0.2384, grad_norm: 0.2149 2024-01-03 21:22:10,601 - mmseg - INFO - Iter [650/38400] lr: 2.581e-04, eta: 1:11:27, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.2370, decode.loss_grad: 0.0000, loss: 0.2370, grad_norm: 0.2145 2024-01-03 21:22:15,936 - mmseg - INFO - Iter [700/38400] lr: 2.775e-04, eta: 1:11:02, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.2341, decode.loss_grad: 0.0000, loss: 0.2341, grad_norm: 0.2195 2024-01-03 21:22:21,363 - mmseg - INFO - Iter [750/38400] lr: 2.970e-04, eta: 1:10:45, time: 0.109, data_time: 0.003, memory: 745, decode.loss_depth: 0.2252, decode.loss_grad: 0.0000, loss: 0.2252, grad_norm: 0.2068 2024-01-03 21:22:26,707 - mmseg - INFO - Iter [800/38400] lr: 3.165e-04, eta: 1:10:26, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.2308, decode.loss_grad: 0.0000, loss: 0.2308, grad_norm: 0.2119 2024-01-03 21:22:32,000 - mmseg - INFO - Iter [850/38400] lr: 3.359e-04, eta: 1:10:06, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.2209, decode.loss_grad: 0.0000, loss: 0.2209, grad_norm: 0.2098 2024-01-03 21:22:37,282 - mmseg - INFO - Iter [900/38400] lr: 3.553e-04, eta: 1:09:47, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.2199, decode.loss_grad: 0.0000, loss: 0.2199, grad_norm: 0.1962 2024-01-03 21:22:42,604 - mmseg - INFO - Iter [950/38400] lr: 3.748e-04, eta: 1:09:31, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.2222, decode.loss_grad: 0.0000, loss: 0.2222, grad_norm: 0.2086 2024-01-03 21:22:47,985 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:22:47,985 - mmseg - INFO - Iter [1000/38400] lr: 3.942e-04, eta: 1:09:18, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.2180, decode.loss_grad: 0.0000, loss: 0.2180, grad_norm: 0.2015 2024-01-03 21:22:53,315 - mmseg - INFO - Iter [1050/38400] lr: 4.136e-04, eta: 1:09:05, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.2135, decode.loss_grad: 0.0000, loss: 0.2135, grad_norm: 0.1992 2024-01-03 21:22:58,664 - mmseg - INFO - Iter [1100/38400] lr: 4.330e-04, eta: 1:08:52, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.2140, decode.loss_grad: 0.0000, loss: 0.2140, grad_norm: 0.1979 2024-01-03 21:23:04,018 - mmseg - INFO - Iter [1150/38400] lr: 4.524e-04, eta: 1:08:41, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.2098, decode.loss_grad: 0.0000, loss: 0.2098, grad_norm: 0.1936 2024-01-03 21:23:09,322 - mmseg - INFO - Iter [1200/38400] lr: 4.718e-04, eta: 1:08:28, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.2031, decode.loss_grad: 0.0000, loss: 0.2031, grad_norm: 0.1982 2024-01-03 21:23:14,679 - mmseg - INFO - Iter [1250/38400] lr: 4.911e-04, eta: 1:08:18, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.2119, decode.loss_grad: 0.0000, loss: 0.2119, grad_norm: 0.1888 2024-01-03 21:23:20,062 - mmseg - INFO - Iter [1300/38400] lr: 5.105e-04, eta: 1:08:08, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.2062, decode.loss_grad: 0.0000, loss: 0.2062, grad_norm: 0.1854 2024-01-03 21:23:25,468 - mmseg - INFO - Iter [1350/38400] lr: 5.298e-04, eta: 1:08:00, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.2054, decode.loss_grad: 0.0000, loss: 0.2054, grad_norm: 0.1812 2024-01-03 21:23:30,815 - mmseg - INFO - Iter [1400/38400] lr: 5.491e-04, eta: 1:07:50, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.2051, decode.loss_grad: 0.0000, loss: 0.2051, grad_norm: 0.1831 2024-01-03 21:23:36,112 - mmseg - INFO - Iter [1450/38400] lr: 5.684e-04, eta: 1:07:39, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.2010, decode.loss_grad: 0.0000, loss: 0.2010, grad_norm: 0.1881 2024-01-03 21:23:41,424 - mmseg - INFO - Iter [1500/38400] lr: 5.877e-04, eta: 1:07:30, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1995, decode.loss_grad: 0.0000, loss: 0.1995, grad_norm: 0.1756 2024-01-03 21:23:48,928 - mmseg - INFO - Iter [1550/38400] lr: 6.070e-04, eta: 1:08:12, time: 0.150, data_time: 0.046, memory: 745, decode.loss_depth: 0.2003, decode.loss_grad: 0.0000, loss: 0.2003, grad_norm: 0.1822 2024-01-03 21:23:54,293 - mmseg - INFO - Saving checkpoint at 1600 iterations 2024-01-03 21:23:54,317 - mmseg - INFO - Iter [1600/38400] lr: 6.263e-04, eta: 1:08:03, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1965, decode.loss_grad: 0.0000, loss: 0.1965, grad_norm: 0.1761 2024-01-03 21:23:59,673 - mmseg - INFO - Iter [1650/38400] lr: 6.456e-04, eta: 1:07:53, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1947, decode.loss_grad: 0.0000, loss: 0.1947, grad_norm: 0.1757 2024-01-03 21:24:05,024 - mmseg - INFO - Iter [1700/38400] lr: 6.648e-04, eta: 1:07:43, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1922, decode.loss_grad: 0.0000, loss: 0.1922, grad_norm: 0.1724 2024-01-03 21:24:10,379 - mmseg - INFO - Iter [1750/38400] lr: 6.840e-04, eta: 1:07:34, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1977, decode.loss_grad: 0.0000, loss: 0.1977, grad_norm: 0.1777 2024-01-03 21:24:15,765 - mmseg - INFO - Iter [1800/38400] lr: 7.032e-04, eta: 1:07:25, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1916, decode.loss_grad: 0.0000, loss: 0.1916, grad_norm: 0.1677 2024-01-03 21:24:21,117 - mmseg - INFO - Iter [1850/38400] lr: 7.224e-04, eta: 1:07:16, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1958, decode.loss_grad: 0.0000, loss: 0.1958, grad_norm: 0.1590 2024-01-03 21:24:26,447 - mmseg - INFO - Iter [1900/38400] lr: 7.416e-04, eta: 1:07:07, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1932, decode.loss_grad: 0.0000, loss: 0.1932, grad_norm: 0.1665 2024-01-03 21:24:31,754 - mmseg - INFO - Iter [1950/38400] lr: 7.607e-04, eta: 1:06:58, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1879, decode.loss_grad: 0.0000, loss: 0.1879, grad_norm: 0.1646 2024-01-03 21:24:37,102 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:24:37,103 - mmseg - INFO - Iter [2000/38400] lr: 7.798e-04, eta: 1:06:49, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1931, decode.loss_grad: 0.0000, loss: 0.1931, grad_norm: 0.1648 2024-01-03 21:24:42,417 - mmseg - INFO - Iter [2050/38400] lr: 7.990e-04, eta: 1:06:40, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1889, decode.loss_grad: 0.0000, loss: 0.1889, grad_norm: 0.1595 2024-01-03 21:24:47,755 - mmseg - INFO - Iter [2100/38400] lr: 8.180e-04, eta: 1:06:32, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1889, decode.loss_grad: 0.0000, loss: 0.1889, grad_norm: 0.1541 2024-01-03 21:24:53,069 - mmseg - INFO - Iter [2150/38400] lr: 8.371e-04, eta: 1:06:23, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1878, decode.loss_grad: 0.0000, loss: 0.1878, grad_norm: 0.1567 2024-01-03 21:24:58,398 - mmseg - INFO - Iter [2200/38400] lr: 8.562e-04, eta: 1:06:15, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1850, decode.loss_grad: 0.0000, loss: 0.1850, grad_norm: 0.1547 2024-01-03 21:25:03,750 - mmseg - INFO - Iter [2250/38400] lr: 8.752e-04, eta: 1:06:07, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1846, decode.loss_grad: 0.0000, loss: 0.1846, grad_norm: 0.1526 2024-01-03 21:25:09,130 - mmseg - INFO - Iter [2300/38400] lr: 8.942e-04, eta: 1:06:00, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1861, decode.loss_grad: 0.0000, loss: 0.1861, grad_norm: 0.1499 2024-01-03 21:25:14,464 - mmseg - INFO - Iter [2350/38400] lr: 9.132e-04, eta: 1:05:52, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1841, decode.loss_grad: 0.0000, loss: 0.1841, grad_norm: 0.1477 2024-01-03 21:25:19,867 - mmseg - INFO - Iter [2400/38400] lr: 9.321e-04, eta: 1:05:46, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1853, decode.loss_grad: 0.0000, loss: 0.1853, grad_norm: 0.1510 2024-01-03 21:25:25,244 - mmseg - INFO - Iter [2450/38400] lr: 9.511e-04, eta: 1:05:39, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1838, decode.loss_grad: 0.0000, loss: 0.1838, grad_norm: 0.1528 2024-01-03 21:25:30,637 - mmseg - INFO - Iter [2500/38400] lr: 9.700e-04, eta: 1:05:32, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1884, decode.loss_grad: 0.0000, loss: 0.1884, grad_norm: 0.1543 2024-01-03 21:25:36,014 - mmseg - INFO - Iter [2550/38400] lr: 9.889e-04, eta: 1:05:25, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1819, decode.loss_grad: 0.0000, loss: 0.1819, grad_norm: 0.1434 2024-01-03 21:25:41,365 - mmseg - INFO - Iter [2600/38400] lr: 1.008e-03, eta: 1:05:18, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1771, decode.loss_grad: 0.0000, loss: 0.1771, grad_norm: 0.1394 2024-01-03 21:25:46,695 - mmseg - INFO - Iter [2650/38400] lr: 1.027e-03, eta: 1:05:10, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1822, decode.loss_grad: 0.0000, loss: 0.1822, grad_norm: 0.1429 2024-01-03 21:25:52,094 - mmseg - INFO - Iter [2700/38400] lr: 1.045e-03, eta: 1:05:04, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1815, decode.loss_grad: 0.0000, loss: 0.1815, grad_norm: 0.1431 2024-01-03 21:25:57,457 - mmseg - INFO - Iter [2750/38400] lr: 1.064e-03, eta: 1:04:57, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1807, decode.loss_grad: 0.0000, loss: 0.1807, grad_norm: 0.1366 2024-01-03 21:26:02,808 - mmseg - INFO - Iter [2800/38400] lr: 1.083e-03, eta: 1:04:50, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1764, decode.loss_grad: 0.0000, loss: 0.1764, grad_norm: 0.1333 2024-01-03 21:26:08,118 - mmseg - INFO - Iter [2850/38400] lr: 1.102e-03, eta: 1:04:43, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1735, decode.loss_grad: 0.0000, loss: 0.1735, grad_norm: 0.1308 2024-01-03 21:26:13,553 - mmseg - INFO - Iter [2900/38400] lr: 1.120e-03, eta: 1:04:37, time: 0.109, data_time: 0.003, memory: 745, decode.loss_depth: 0.1774, decode.loss_grad: 0.0000, loss: 0.1774, grad_norm: 0.1374 2024-01-03 21:26:18,925 - mmseg - INFO - Iter [2950/38400] lr: 1.139e-03, eta: 1:04:30, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1746, decode.loss_grad: 0.0000, loss: 0.1746, grad_norm: 0.1289 2024-01-03 21:26:24,308 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:26:24,308 - mmseg - INFO - Iter [3000/38400] lr: 1.158e-03, eta: 1:04:24, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1739, decode.loss_grad: 0.0000, loss: 0.1739, grad_norm: 0.1252 2024-01-03 21:26:31,897 - mmseg - INFO - Iter [3050/38400] lr: 1.176e-03, eta: 1:04:43, time: 0.152, data_time: 0.046, memory: 745, decode.loss_depth: 0.1743, decode.loss_grad: 0.0000, loss: 0.1743, grad_norm: 0.1349 2024-01-03 21:26:37,253 - mmseg - INFO - Iter [3100/38400] lr: 1.195e-03, eta: 1:04:36, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1741, decode.loss_grad: 0.0000, loss: 0.1741, grad_norm: 0.1264 2024-01-03 21:26:42,671 - mmseg - INFO - Iter [3150/38400] lr: 1.213e-03, eta: 1:04:30, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1735, decode.loss_grad: 0.0000, loss: 0.1735, grad_norm: 0.1345 2024-01-03 21:26:48,041 - mmseg - INFO - Saving checkpoint at 3200 iterations 2024-01-03 21:26:48,061 - mmseg - INFO - Iter [3200/38400] lr: 1.232e-03, eta: 1:04:23, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1694, decode.loss_grad: 0.0000, loss: 0.1694, grad_norm: 0.1230 2024-01-03 21:27:08,684 - mmseg - INFO - Summary: 2024-01-03 21:27:08,686 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.7135 | 0.9407 | 0.9864 | 0.1883 | 0.5942 | 0.076 | 0.2184 | 17.9241 | 0.1478 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 21:27:08,705 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_3200.pth. 2024-01-03 21:27:08,705 - mmseg - INFO - Best abs_rel is 0.1883 at 3200 iter. 2024-01-03 21:27:08,706 - mmseg - INFO - Iter(val) [82] a1: 0.7135, a2: 0.9407, a3: 0.9864, abs_rel: 0.18833225965499878, rmse: 0.5942166447639465, log_10: 0.07597650587558746, rmse_log: 0.21837079524993896, silog: 17.9241, sq_rel: 0.14784768223762512 2024-01-03 21:27:14,641 - mmseg - INFO - Iter [3250/38400] lr: 1.251e-03, eta: 1:08:06, time: 0.532, data_time: 0.416, memory: 745, decode.loss_depth: 0.1742, decode.loss_grad: 0.0000, loss: 0.1742, grad_norm: 0.1245 2024-01-03 21:27:20,067 - mmseg - INFO - Iter [3300/38400] lr: 1.269e-03, eta: 1:07:56, time: 0.109, data_time: 0.003, memory: 745, decode.loss_depth: 0.1727, decode.loss_grad: 0.0000, loss: 0.1727, grad_norm: 0.1215 2024-01-03 21:27:25,420 - mmseg - INFO - Iter [3350/38400] lr: 1.287e-03, eta: 1:07:45, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1737, decode.loss_grad: 0.0000, loss: 0.1737, grad_norm: 0.1217 2024-01-03 21:27:30,859 - mmseg - INFO - Iter [3400/38400] lr: 1.306e-03, eta: 1:07:36, time: 0.109, data_time: 0.003, memory: 745, decode.loss_depth: 0.1751, decode.loss_grad: 0.0000, loss: 0.1751, grad_norm: 0.1209 2024-01-03 21:27:36,224 - mmseg - INFO - Iter [3450/38400] lr: 1.324e-03, eta: 1:07:26, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1733, decode.loss_grad: 0.0000, loss: 0.1733, grad_norm: 0.1193 2024-01-03 21:27:41,575 - mmseg - INFO - Iter [3500/38400] lr: 1.343e-03, eta: 1:07:16, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1703, decode.loss_grad: 0.0000, loss: 0.1703, grad_norm: 0.1187 2024-01-03 21:27:46,996 - mmseg - INFO - Iter [3550/38400] lr: 1.361e-03, eta: 1:07:06, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1701, decode.loss_grad: 0.0000, loss: 0.1701, grad_norm: 0.1151 2024-01-03 21:27:52,389 - mmseg - INFO - Iter [3600/38400] lr: 1.379e-03, eta: 1:06:57, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1697, decode.loss_grad: 0.0000, loss: 0.1697, grad_norm: 0.1144 2024-01-03 21:27:57,864 - mmseg - INFO - Iter [3650/38400] lr: 1.397e-03, eta: 1:06:48, time: 0.110, data_time: 0.003, memory: 745, decode.loss_depth: 0.1654, decode.loss_grad: 0.0000, loss: 0.1654, grad_norm: 0.1172 2024-01-03 21:28:03,289 - mmseg - INFO - Iter [3700/38400] lr: 1.416e-03, eta: 1:06:39, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1705, decode.loss_grad: 0.0000, loss: 0.1705, grad_norm: 0.1123 2024-01-03 21:28:08,630 - mmseg - INFO - Iter [3750/38400] lr: 1.434e-03, eta: 1:06:30, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1684, decode.loss_grad: 0.0000, loss: 0.1684, grad_norm: 0.1150 2024-01-03 21:28:14,017 - mmseg - INFO - Iter [3800/38400] lr: 1.452e-03, eta: 1:06:20, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1704, decode.loss_grad: 0.0000, loss: 0.1704, grad_norm: 0.1152 2024-01-03 21:28:19,374 - mmseg - INFO - Iter [3850/38400] lr: 1.470e-03, eta: 1:06:11, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1706, decode.loss_grad: 0.0000, loss: 0.1706, grad_norm: 0.1140 2024-01-03 21:28:24,734 - mmseg - INFO - Iter [3900/38400] lr: 1.488e-03, eta: 1:06:02, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1689, decode.loss_grad: 0.0000, loss: 0.1689, grad_norm: 0.1135 2024-01-03 21:28:30,103 - mmseg - INFO - Iter [3950/38400] lr: 1.506e-03, eta: 1:05:53, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1671, decode.loss_grad: 0.0000, loss: 0.1671, grad_norm: 0.1064 2024-01-03 21:28:35,491 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:28:35,492 - mmseg - INFO - Iter [4000/38400] lr: 1.524e-03, eta: 1:05:44, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1664, decode.loss_grad: 0.0000, loss: 0.1664, grad_norm: 0.1094 2024-01-03 21:28:40,872 - mmseg - INFO - Iter [4050/38400] lr: 1.542e-03, eta: 1:05:35, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1649, decode.loss_grad: 0.0000, loss: 0.1649, grad_norm: 0.1111 2024-01-03 21:28:46,203 - mmseg - INFO - Iter [4100/38400] lr: 1.560e-03, eta: 1:05:26, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1654, decode.loss_grad: 0.0000, loss: 0.1654, grad_norm: 0.1098 2024-01-03 21:28:51,560 - mmseg - INFO - Iter [4150/38400] lr: 1.578e-03, eta: 1:05:18, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1685, decode.loss_grad: 0.0000, loss: 0.1685, grad_norm: 0.1054 2024-01-03 21:28:56,870 - mmseg - INFO - Iter [4200/38400] lr: 1.596e-03, eta: 1:05:09, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1671, decode.loss_grad: 0.0000, loss: 0.1671, grad_norm: 0.1034 2024-01-03 21:29:02,287 - mmseg - INFO - Iter [4250/38400] lr: 1.613e-03, eta: 1:05:00, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1625, decode.loss_grad: 0.0000, loss: 0.1625, grad_norm: 0.1045 2024-01-03 21:29:07,750 - mmseg - INFO - Iter [4300/38400] lr: 1.631e-03, eta: 1:04:53, time: 0.109, data_time: 0.003, memory: 745, decode.loss_depth: 0.1647, decode.loss_grad: 0.0000, loss: 0.1647, grad_norm: 0.1025 2024-01-03 21:29:13,155 - mmseg - INFO - Iter [4350/38400] lr: 1.649e-03, eta: 1:04:45, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1633, decode.loss_grad: 0.0000, loss: 0.1633, grad_norm: 0.0999 2024-01-03 21:29:18,545 - mmseg - INFO - Iter [4400/38400] lr: 1.666e-03, eta: 1:04:37, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1660, decode.loss_grad: 0.0000, loss: 0.1660, grad_norm: 0.0995 2024-01-03 21:29:23,940 - mmseg - INFO - Iter [4450/38400] lr: 1.684e-03, eta: 1:04:29, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1692, decode.loss_grad: 0.0000, loss: 0.1692, grad_norm: 0.1073 2024-01-03 21:29:29,287 - mmseg - INFO - Iter [4500/38400] lr: 1.702e-03, eta: 1:04:20, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1632, decode.loss_grad: 0.0000, loss: 0.1632, grad_norm: 0.0976 2024-01-03 21:29:36,787 - mmseg - INFO - Iter [4550/38400] lr: 1.719e-03, eta: 1:04:28, time: 0.150, data_time: 0.046, memory: 745, decode.loss_depth: 0.1597, decode.loss_grad: 0.0000, loss: 0.1597, grad_norm: 0.0981 2024-01-03 21:29:42,173 - mmseg - INFO - Iter [4600/38400] lr: 1.737e-03, eta: 1:04:20, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1601, decode.loss_grad: 0.0000, loss: 0.1601, grad_norm: 0.0965 2024-01-03 21:29:47,492 - mmseg - INFO - Iter [4650/38400] lr: 1.754e-03, eta: 1:04:11, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1616, decode.loss_grad: 0.0000, loss: 0.1616, grad_norm: 0.0946 2024-01-03 21:29:52,840 - mmseg - INFO - Iter [4700/38400] lr: 1.772e-03, eta: 1:04:03, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1620, decode.loss_grad: 0.0000, loss: 0.1620, grad_norm: 0.0959 2024-01-03 21:29:58,200 - mmseg - INFO - Iter [4750/38400] lr: 1.789e-03, eta: 1:03:55, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1620, decode.loss_grad: 0.0000, loss: 0.1620, grad_norm: 0.0961 2024-01-03 21:30:03,566 - mmseg - INFO - Saving checkpoint at 4800 iterations 2024-01-03 21:30:03,589 - mmseg - INFO - Iter [4800/38400] lr: 1.806e-03, eta: 1:03:47, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1614, decode.loss_grad: 0.0000, loss: 0.1614, grad_norm: 0.0956 2024-01-03 21:30:08,851 - mmseg - INFO - Iter [4850/38400] lr: 1.824e-03, eta: 1:03:38, time: 0.105, data_time: 0.003, memory: 745, decode.loss_depth: 0.1611, decode.loss_grad: 0.0000, loss: 0.1611, grad_norm: 0.0934 2024-01-03 21:30:14,181 - mmseg - INFO - Iter [4900/38400] lr: 1.841e-03, eta: 1:03:30, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1588, decode.loss_grad: 0.0000, loss: 0.1588, grad_norm: 0.0900 2024-01-03 21:30:19,555 - mmseg - INFO - Iter [4950/38400] lr: 1.858e-03, eta: 1:03:22, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1591, decode.loss_grad: 0.0000, loss: 0.1591, grad_norm: 0.0913 2024-01-03 21:30:24,876 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:30:24,877 - mmseg - INFO - Iter [5000/38400] lr: 1.875e-03, eta: 1:03:14, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1590, decode.loss_grad: 0.0000, loss: 0.1590, grad_norm: 0.0906 2024-01-03 21:30:30,223 - mmseg - INFO - Iter [5050/38400] lr: 1.892e-03, eta: 1:03:06, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1530, decode.loss_grad: 0.0000, loss: 0.1530, grad_norm: 0.0883 2024-01-03 21:30:35,586 - mmseg - INFO - Iter [5100/38400] lr: 1.909e-03, eta: 1:02:59, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1595, decode.loss_grad: 0.0000, loss: 0.1595, grad_norm: 0.0910 2024-01-03 21:30:41,042 - mmseg - INFO - Iter [5150/38400] lr: 1.926e-03, eta: 1:02:51, time: 0.109, data_time: 0.003, memory: 745, decode.loss_depth: 0.1589, decode.loss_grad: 0.0000, loss: 0.1589, grad_norm: 0.0911 2024-01-03 21:30:46,470 - mmseg - INFO - Iter [5200/38400] lr: 1.943e-03, eta: 1:02:44, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1620, decode.loss_grad: 0.0000, loss: 0.1620, grad_norm: 0.0893 2024-01-03 21:30:57,766 - mmseg - INFO - Iter [5250/38400] lr: 1.960e-03, eta: 1:03:14, time: 0.226, data_time: 0.123, memory: 745, decode.loss_depth: 0.1611, decode.loss_grad: 0.0000, loss: 0.1611, grad_norm: 0.0878 2024-01-03 21:31:03,034 - mmseg - INFO - Iter [5300/38400] lr: 1.977e-03, eta: 1:03:06, time: 0.105, data_time: 0.003, memory: 745, decode.loss_depth: 0.1619, decode.loss_grad: 0.0000, loss: 0.1619, grad_norm: 0.0894 2024-01-03 21:31:08,407 - mmseg - INFO - Iter [5350/38400] lr: 1.994e-03, eta: 1:02:58, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1578, decode.loss_grad: 0.0000, loss: 0.1578, grad_norm: 0.0888 2024-01-03 21:31:13,764 - mmseg - INFO - Iter [5400/38400] lr: 2.011e-03, eta: 1:02:50, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1577, decode.loss_grad: 0.0000, loss: 0.1577, grad_norm: 0.0837 2024-01-03 21:31:19,127 - mmseg - INFO - Iter [5450/38400] lr: 2.027e-03, eta: 1:02:42, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1563, decode.loss_grad: 0.0000, loss: 0.1563, grad_norm: 0.0861 2024-01-03 21:31:24,473 - mmseg - INFO - Iter [5500/38400] lr: 2.044e-03, eta: 1:02:34, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1558, decode.loss_grad: 0.0000, loss: 0.1558, grad_norm: 0.0840 2024-01-03 21:31:29,793 - mmseg - INFO - Iter [5550/38400] lr: 2.060e-03, eta: 1:02:26, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1566, decode.loss_grad: 0.0000, loss: 0.1566, grad_norm: 0.0873 2024-01-03 21:31:35,124 - mmseg - INFO - Iter [5600/38400] lr: 2.077e-03, eta: 1:02:18, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1592, decode.loss_grad: 0.0000, loss: 0.1592, grad_norm: 0.0852 2024-01-03 21:31:40,520 - mmseg - INFO - Iter [5650/38400] lr: 2.094e-03, eta: 1:02:11, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1574, decode.loss_grad: 0.0000, loss: 0.1574, grad_norm: 0.0841 2024-01-03 21:31:45,816 - mmseg - INFO - Iter [5700/38400] lr: 2.110e-03, eta: 1:02:03, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1587, decode.loss_grad: 0.0000, loss: 0.1587, grad_norm: 0.0830 2024-01-03 21:31:51,116 - mmseg - INFO - Iter [5750/38400] lr: 2.126e-03, eta: 1:01:55, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1578, decode.loss_grad: 0.0000, loss: 0.1578, grad_norm: 0.0779 2024-01-03 21:31:56,462 - mmseg - INFO - Iter [5800/38400] lr: 2.143e-03, eta: 1:01:47, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1569, decode.loss_grad: 0.0000, loss: 0.1569, grad_norm: 0.0814 2024-01-03 21:32:01,880 - mmseg - INFO - Iter [5850/38400] lr: 2.159e-03, eta: 1:01:40, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1578, decode.loss_grad: 0.0000, loss: 0.1578, grad_norm: 0.0829 2024-01-03 21:32:07,248 - mmseg - INFO - Iter [5900/38400] lr: 2.175e-03, eta: 1:01:33, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1562, decode.loss_grad: 0.0000, loss: 0.1562, grad_norm: 0.0777 2024-01-03 21:32:12,629 - mmseg - INFO - Iter [5950/38400] lr: 2.191e-03, eta: 1:01:25, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1545, decode.loss_grad: 0.0000, loss: 0.1545, grad_norm: 0.0783 2024-01-03 21:32:17,994 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:32:17,995 - mmseg - INFO - Iter [6000/38400] lr: 2.208e-03, eta: 1:01:18, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1564, decode.loss_grad: 0.0000, loss: 0.1564, grad_norm: 0.0794 2024-01-03 21:32:23,321 - mmseg - INFO - Iter [6050/38400] lr: 2.224e-03, eta: 1:01:10, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1531, decode.loss_grad: 0.0000, loss: 0.1531, grad_norm: 0.0760 2024-01-03 21:32:30,844 - mmseg - INFO - Iter [6100/38400] lr: 2.240e-03, eta: 1:01:14, time: 0.150, data_time: 0.046, memory: 745, decode.loss_depth: 0.1524, decode.loss_grad: 0.0000, loss: 0.1524, grad_norm: 0.0768 2024-01-03 21:32:36,211 - mmseg - INFO - Iter [6150/38400] lr: 2.256e-03, eta: 1:01:07, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1534, decode.loss_grad: 0.0000, loss: 0.1534, grad_norm: 0.0776 2024-01-03 21:32:41,556 - mmseg - INFO - Iter [6200/38400] lr: 2.272e-03, eta: 1:01:00, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1474, decode.loss_grad: 0.0000, loss: 0.1474, grad_norm: 0.0727 2024-01-03 21:32:46,989 - mmseg - INFO - Iter [6250/38400] lr: 2.287e-03, eta: 1:00:53, time: 0.109, data_time: 0.003, memory: 745, decode.loss_depth: 0.1540, decode.loss_grad: 0.0000, loss: 0.1540, grad_norm: 0.0782 2024-01-03 21:32:52,345 - mmseg - INFO - Iter [6300/38400] lr: 2.303e-03, eta: 1:00:45, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1512, decode.loss_grad: 0.0000, loss: 0.1512, grad_norm: 0.0755 2024-01-03 21:32:57,685 - mmseg - INFO - Iter [6350/38400] lr: 2.319e-03, eta: 1:00:38, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1515, decode.loss_grad: 0.0000, loss: 0.1515, grad_norm: 0.0716 2024-01-03 21:33:02,999 - mmseg - INFO - Saving checkpoint at 6400 iterations 2024-01-03 21:33:03,026 - mmseg - INFO - Iter [6400/38400] lr: 2.335e-03, eta: 1:00:31, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1522, decode.loss_grad: 0.0000, loss: 0.1522, grad_norm: 0.0742 2024-01-03 21:33:12,264 - mmseg - INFO - Summary: 2024-01-03 21:33:12,267 - mmseg - INFO - +--------+------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+------+--------+---------+--------+--------+----------+---------+--------+ | 0.7129 | 0.94 | 0.9868 | 0.1877 | 0.6028 | 0.0762 | 0.2188 | 17.9457 | 0.1504 | +--------+------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 21:33:12,268 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/original/deit3_base_patch16_224.fb_in1k/best_abs_rel_iter_3200.pth was removed 2024-01-03 21:33:12,284 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_6400.pth. 2024-01-03 21:33:12,284 - mmseg - INFO - Best abs_rel is 0.1877 at 6400 iter. 2024-01-03 21:33:12,285 - mmseg - INFO - Iter(val) [82] a1: 0.7129, a2: 0.9400, a3: 0.9868, abs_rel: 0.18769817054271698, rmse: 0.6028292775154114, log_10: 0.07619737833738327, rmse_log: 0.2188449651002884, silog: 17.9457, sq_rel: 0.15040139853954315 2024-01-03 21:33:17,611 - mmseg - INFO - Iter [6450/38400] lr: 2.350e-03, eta: 1:01:09, time: 0.292, data_time: 0.188, memory: 745, decode.loss_depth: 0.1522, decode.loss_grad: 0.0000, loss: 0.1522, grad_norm: 0.0772 2024-01-03 21:33:22,967 - mmseg - INFO - Iter [6500/38400] lr: 2.366e-03, eta: 1:01:01, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1519, decode.loss_grad: 0.0000, loss: 0.1519, grad_norm: 0.0724 2024-01-03 21:33:28,351 - mmseg - INFO - Iter [6550/38400] lr: 2.381e-03, eta: 1:00:54, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1519, decode.loss_grad: 0.0000, loss: 0.1519, grad_norm: 0.0712 2024-01-03 21:33:33,686 - mmseg - INFO - Iter [6600/38400] lr: 2.397e-03, eta: 1:00:46, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1508, decode.loss_grad: 0.0000, loss: 0.1508, grad_norm: 0.0736 2024-01-03 21:33:39,028 - mmseg - INFO - Iter [6650/38400] lr: 2.412e-03, eta: 1:00:39, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1547, decode.loss_grad: 0.0000, loss: 0.1547, grad_norm: 0.0720 2024-01-03 21:33:44,431 - mmseg - INFO - Iter [6700/38400] lr: 2.427e-03, eta: 1:00:31, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1511, decode.loss_grad: 0.0000, loss: 0.1511, grad_norm: 0.0695 2024-01-03 21:33:49,795 - mmseg - INFO - Iter [6750/38400] lr: 2.443e-03, eta: 1:00:24, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1533, decode.loss_grad: 0.0000, loss: 0.1533, grad_norm: 0.0690 2024-01-03 21:33:55,162 - mmseg - INFO - Iter [6800/38400] lr: 2.458e-03, eta: 1:00:16, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1474, decode.loss_grad: 0.0000, loss: 0.1474, grad_norm: 0.0708 2024-01-03 21:34:00,569 - mmseg - INFO - Iter [6850/38400] lr: 2.473e-03, eta: 1:00:09, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1536, decode.loss_grad: 0.0000, loss: 0.1536, grad_norm: 0.0704 2024-01-03 21:34:05,904 - mmseg - INFO - Iter [6900/38400] lr: 2.488e-03, eta: 1:00:02, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1523, decode.loss_grad: 0.0000, loss: 0.1523, grad_norm: 0.0683 2024-01-03 21:34:11,281 - mmseg - INFO - Iter [6950/38400] lr: 2.503e-03, eta: 0:59:55, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1520, decode.loss_grad: 0.0000, loss: 0.1520, grad_norm: 0.0688 2024-01-03 21:34:16,704 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:34:16,705 - mmseg - INFO - Iter [7000/38400] lr: 2.518e-03, eta: 0:59:48, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1509, decode.loss_grad: 0.0000, loss: 0.1509, grad_norm: 0.0702 2024-01-03 21:34:22,046 - mmseg - INFO - Iter [7050/38400] lr: 2.533e-03, eta: 0:59:40, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1556, decode.loss_grad: 0.0000, loss: 0.1556, grad_norm: 0.0678 2024-01-03 21:34:27,408 - mmseg - INFO - Iter [7100/38400] lr: 2.548e-03, eta: 0:59:33, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1502, decode.loss_grad: 0.0000, loss: 0.1502, grad_norm: 0.0684 2024-01-03 21:34:32,820 - mmseg - INFO - Iter [7150/38400] lr: 2.563e-03, eta: 0:59:26, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1528, decode.loss_grad: 0.0000, loss: 0.1528, grad_norm: 0.0710 2024-01-03 21:34:38,141 - mmseg - INFO - Iter [7200/38400] lr: 2.577e-03, eta: 0:59:19, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1521, decode.loss_grad: 0.0000, loss: 0.1521, grad_norm: 0.0660 2024-01-03 21:34:43,502 - mmseg - INFO - Iter [7250/38400] lr: 2.592e-03, eta: 0:59:11, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1546, decode.loss_grad: 0.0000, loss: 0.1546, grad_norm: 0.0682 2024-01-03 21:34:48,889 - mmseg - INFO - Iter [7300/38400] lr: 2.606e-03, eta: 0:59:04, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1543, decode.loss_grad: 0.0000, loss: 0.1543, grad_norm: 0.0680 2024-01-03 21:34:54,272 - mmseg - INFO - Iter [7350/38400] lr: 2.621e-03, eta: 0:58:57, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1502, decode.loss_grad: 0.0000, loss: 0.1502, grad_norm: 0.0644 2024-01-03 21:34:59,642 - mmseg - INFO - Iter [7400/38400] lr: 2.635e-03, eta: 0:58:50, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1501, decode.loss_grad: 0.0000, loss: 0.1501, grad_norm: 0.0632 2024-01-03 21:35:04,952 - mmseg - INFO - Iter [7450/38400] lr: 2.650e-03, eta: 0:58:43, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1511, decode.loss_grad: 0.0000, loss: 0.1511, grad_norm: 0.0623 2024-01-03 21:35:10,281 - mmseg - INFO - Iter [7500/38400] lr: 2.664e-03, eta: 0:58:36, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1516, decode.loss_grad: 0.0000, loss: 0.1516, grad_norm: 0.0664 2024-01-03 21:35:15,667 - mmseg - INFO - Iter [7550/38400] lr: 2.678e-03, eta: 0:58:29, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1511, decode.loss_grad: 0.0000, loss: 0.1511, grad_norm: 0.0627 2024-01-03 21:35:23,212 - mmseg - INFO - Iter [7600/38400] lr: 2.693e-03, eta: 0:58:31, time: 0.151, data_time: 0.046, memory: 745, decode.loss_depth: 0.1493, decode.loss_grad: 0.0000, loss: 0.1493, grad_norm: 0.0644 2024-01-03 21:35:28,563 - mmseg - INFO - Iter [7650/38400] lr: 2.707e-03, eta: 0:58:24, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1437, decode.loss_grad: 0.0000, loss: 0.1437, grad_norm: 0.0630 2024-01-03 21:35:33,931 - mmseg - INFO - Iter [7700/38400] lr: 2.721e-03, eta: 0:58:17, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1471, decode.loss_grad: 0.0000, loss: 0.1471, grad_norm: 0.0583 2024-01-03 21:35:39,298 - mmseg - INFO - Iter [7750/38400] lr: 2.735e-03, eta: 0:58:10, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1456, decode.loss_grad: 0.0000, loss: 0.1456, grad_norm: 0.0606 2024-01-03 21:35:44,653 - mmseg - INFO - Iter [7800/38400] lr: 2.749e-03, eta: 0:58:03, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1494, decode.loss_grad: 0.0000, loss: 0.1494, grad_norm: 0.0622 2024-01-03 21:35:50,046 - mmseg - INFO - Iter [7850/38400] lr: 2.762e-03, eta: 0:57:56, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1491, decode.loss_grad: 0.0000, loss: 0.1491, grad_norm: 0.0636 2024-01-03 21:35:55,469 - mmseg - INFO - Iter [7900/38400] lr: 2.776e-03, eta: 0:57:49, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1502, decode.loss_grad: 0.0000, loss: 0.1502, grad_norm: 0.0625 2024-01-03 21:36:00,814 - mmseg - INFO - Iter [7950/38400] lr: 2.790e-03, eta: 0:57:42, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1512, decode.loss_grad: 0.0000, loss: 0.1512, grad_norm: 0.0631 2024-01-03 21:36:06,164 - mmseg - INFO - Saving checkpoint at 8000 iterations 2024-01-03 21:36:06,188 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:36:06,189 - mmseg - INFO - Iter [8000/38400] lr: 2.804e-03, eta: 0:57:35, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1463, decode.loss_grad: 0.0000, loss: 0.1463, grad_norm: 0.0601 2024-01-03 21:36:11,526 - mmseg - INFO - Iter [8050/38400] lr: 2.817e-03, eta: 0:57:28, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1460, decode.loss_grad: 0.0000, loss: 0.1460, grad_norm: 0.0605 2024-01-03 21:36:17,488 - mmseg - INFO - Iter [8100/38400] lr: 2.831e-03, eta: 0:57:23, time: 0.119, data_time: 0.004, memory: 745, decode.loss_depth: 0.1482, decode.loss_grad: 0.0000, loss: 0.1482, grad_norm: 0.0588 2024-01-03 21:36:22,900 - mmseg - INFO - Iter [8150/38400] lr: 2.844e-03, eta: 0:57:17, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1469, decode.loss_grad: 0.0000, loss: 0.1469, grad_norm: 0.0593 2024-01-03 21:36:28,312 - mmseg - INFO - Iter [8200/38400] lr: 2.857e-03, eta: 0:57:10, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1508, decode.loss_grad: 0.0000, loss: 0.1508, grad_norm: 0.0613 2024-01-03 21:36:33,721 - mmseg - INFO - Iter [8250/38400] lr: 2.871e-03, eta: 0:57:03, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1479, decode.loss_grad: 0.0000, loss: 0.1479, grad_norm: 0.0590 2024-01-03 21:36:39,054 - mmseg - INFO - Iter [8300/38400] lr: 2.884e-03, eta: 0:56:56, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1476, decode.loss_grad: 0.0000, loss: 0.1476, grad_norm: 0.0574 2024-01-03 21:36:44,421 - mmseg - INFO - Iter [8350/38400] lr: 2.897e-03, eta: 0:56:50, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1452, decode.loss_grad: 0.0000, loss: 0.1452, grad_norm: 0.0597 2024-01-03 21:36:49,778 - mmseg - INFO - Iter [8400/38400] lr: 2.910e-03, eta: 0:56:43, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1500, decode.loss_grad: 0.0000, loss: 0.1500, grad_norm: 0.0599 2024-01-03 21:36:55,109 - mmseg - INFO - Iter [8450/38400] lr: 2.923e-03, eta: 0:56:36, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1453, decode.loss_grad: 0.0000, loss: 0.1453, grad_norm: 0.0583 2024-01-03 21:37:00,447 - mmseg - INFO - Iter [8500/38400] lr: 2.936e-03, eta: 0:56:29, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1494, decode.loss_grad: 0.0000, loss: 0.1494, grad_norm: 0.0581 2024-01-03 21:37:05,785 - mmseg - INFO - Iter [8550/38400] lr: 2.949e-03, eta: 0:56:22, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1475, decode.loss_grad: 0.0000, loss: 0.1475, grad_norm: 0.0557 2024-01-03 21:37:11,129 - mmseg - INFO - Iter [8600/38400] lr: 2.962e-03, eta: 0:56:16, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1477, decode.loss_grad: 0.0000, loss: 0.1477, grad_norm: 0.0569 2024-01-03 21:37:16,487 - mmseg - INFO - Iter [8650/38400] lr: 2.974e-03, eta: 0:56:09, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1464, decode.loss_grad: 0.0000, loss: 0.1464, grad_norm: 0.0564 2024-01-03 21:37:21,901 - mmseg - INFO - Iter [8700/38400] lr: 2.987e-03, eta: 0:56:02, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1501, decode.loss_grad: 0.0000, loss: 0.1501, grad_norm: 0.0562 2024-01-03 21:37:27,208 - mmseg - INFO - Iter [8750/38400] lr: 3.000e-03, eta: 0:55:55, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1478, decode.loss_grad: 0.0000, loss: 0.1478, grad_norm: 0.0559 2024-01-03 21:37:33,594 - mmseg - INFO - Iter [8800/38400] lr: 3.012e-03, eta: 0:55:52, time: 0.128, data_time: 0.003, memory: 745, decode.loss_depth: 0.1452, decode.loss_grad: 0.0000, loss: 0.1452, grad_norm: 0.0528 2024-01-03 21:37:38,971 - mmseg - INFO - Iter [8850/38400] lr: 3.025e-03, eta: 0:55:46, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1425, decode.loss_grad: 0.0000, loss: 0.1425, grad_norm: 0.0544 2024-01-03 21:37:44,310 - mmseg - INFO - Iter [8900/38400] lr: 3.037e-03, eta: 0:55:39, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1448, decode.loss_grad: 0.0000, loss: 0.1448, grad_norm: 0.0544 2024-01-03 21:37:49,760 - mmseg - INFO - Iter [8950/38400] lr: 3.049e-03, eta: 0:55:33, time: 0.109, data_time: 0.003, memory: 745, decode.loss_depth: 0.1458, decode.loss_grad: 0.0000, loss: 0.1458, grad_norm: 0.0575 2024-01-03 21:37:55,095 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:37:55,096 - mmseg - INFO - Iter [9000/38400] lr: 3.061e-03, eta: 0:55:26, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1471, decode.loss_grad: 0.0000, loss: 0.1471, grad_norm: 0.0533 2024-01-03 21:38:00,519 - mmseg - INFO - Iter [9050/38400] lr: 3.073e-03, eta: 0:55:19, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1438, decode.loss_grad: 0.0000, loss: 0.1438, grad_norm: 0.0513 2024-01-03 21:38:08,081 - mmseg - INFO - Iter [9100/38400] lr: 3.085e-03, eta: 0:55:20, time: 0.151, data_time: 0.047, memory: 745, decode.loss_depth: 0.1434, decode.loss_grad: 0.0000, loss: 0.1434, grad_norm: 0.0520 2024-01-03 21:38:13,461 - mmseg - INFO - Iter [9150/38400] lr: 3.097e-03, eta: 0:55:13, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1434, decode.loss_grad: 0.0000, loss: 0.1434, grad_norm: 0.0532 2024-01-03 21:38:18,790 - mmseg - INFO - Iter [9200/38400] lr: 3.109e-03, eta: 0:55:07, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1413, decode.loss_grad: 0.0000, loss: 0.1413, grad_norm: 0.0527 2024-01-03 21:38:24,104 - mmseg - INFO - Iter [9250/38400] lr: 3.121e-03, eta: 0:55:00, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1429, decode.loss_grad: 0.0000, loss: 0.1429, grad_norm: 0.0525 2024-01-03 21:38:29,478 - mmseg - INFO - Iter [9300/38400] lr: 3.133e-03, eta: 0:54:53, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1451, decode.loss_grad: 0.0000, loss: 0.1451, grad_norm: 0.0546 2024-01-03 21:38:34,862 - mmseg - INFO - Iter [9350/38400] lr: 3.145e-03, eta: 0:54:47, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1406, decode.loss_grad: 0.0000, loss: 0.1406, grad_norm: 0.0505 2024-01-03 21:38:40,219 - mmseg - INFO - Iter [9400/38400] lr: 3.156e-03, eta: 0:54:40, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1450, decode.loss_grad: 0.0000, loss: 0.1450, grad_norm: 0.0508 2024-01-03 21:38:46,076 - mmseg - INFO - Iter [9450/38400] lr: 3.168e-03, eta: 0:54:35, time: 0.117, data_time: 0.004, memory: 745, decode.loss_depth: 0.1422, decode.loss_grad: 0.0000, loss: 0.1422, grad_norm: 0.0497 2024-01-03 21:38:51,439 - mmseg - INFO - Iter [9500/38400] lr: 3.179e-03, eta: 0:54:29, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1437, decode.loss_grad: 0.0000, loss: 0.1437, grad_norm: 0.0506 2024-01-03 21:38:56,821 - mmseg - INFO - Iter [9550/38400] lr: 3.190e-03, eta: 0:54:22, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1433, decode.loss_grad: 0.0000, loss: 0.1433, grad_norm: 0.0530 2024-01-03 21:39:02,197 - mmseg - INFO - Saving checkpoint at 9600 iterations 2024-01-03 21:39:02,228 - mmseg - INFO - Iter [9600/38400] lr: 3.202e-03, eta: 0:54:16, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1446, decode.loss_grad: 0.0000, loss: 0.1446, grad_norm: 0.0523 2024-01-03 21:39:11,472 - mmseg - INFO - Summary: 2024-01-03 21:39:11,473 - mmseg - INFO - +--------+--------+--------+---------+-------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+-------+--------+----------+---------+--------+ | 0.7134 | 0.9387 | 0.9868 | 0.1878 | 0.594 | 0.0762 | 0.2186 | 17.8522 | 0.1483 | +--------+--------+--------+---------+-------+--------+----------+---------+--------+ 2024-01-03 21:39:11,473 - mmseg - INFO - Iter(val) [82] a1: 0.7134, a2: 0.9387, a3: 0.9868, abs_rel: 0.18778470158576965, rmse: 0.5939798355102539, log_10: 0.07616192102432251, rmse_log: 0.21859291195869446, silog: 17.8522, sq_rel: 0.1483028680086136 2024-01-03 21:39:18,681 - mmseg - INFO - Iter [9650/38400] lr: 3.213e-03, eta: 0:54:42, time: 0.329, data_time: 0.188, memory: 745, decode.loss_depth: 0.1455, decode.loss_grad: 0.0000, loss: 0.1455, grad_norm: 0.0532 2024-01-03 21:39:24,026 - mmseg - INFO - Iter [9700/38400] lr: 3.224e-03, eta: 0:54:35, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1447, decode.loss_grad: 0.0000, loss: 0.1447, grad_norm: 0.0495 2024-01-03 21:39:29,411 - mmseg - INFO - Iter [9750/38400] lr: 3.235e-03, eta: 0:54:29, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1456, decode.loss_grad: 0.0000, loss: 0.1456, grad_norm: 0.0505 2024-01-03 21:39:34,764 - mmseg - INFO - Iter [9800/38400] lr: 3.246e-03, eta: 0:54:22, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1433, decode.loss_grad: 0.0000, loss: 0.1433, grad_norm: 0.0498 2024-01-03 21:39:40,180 - mmseg - INFO - Iter [9850/38400] lr: 3.257e-03, eta: 0:54:15, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1457, decode.loss_grad: 0.0000, loss: 0.1457, grad_norm: 0.0497 2024-01-03 21:39:45,539 - mmseg - INFO - Iter [9900/38400] lr: 3.268e-03, eta: 0:54:09, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1387, decode.loss_grad: 0.0000, loss: 0.1387, grad_norm: 0.0470 2024-01-03 21:39:50,916 - mmseg - INFO - Iter [9950/38400] lr: 3.278e-03, eta: 0:54:02, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1446, decode.loss_grad: 0.0000, loss: 0.1446, grad_norm: 0.0486 2024-01-03 21:39:56,243 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:39:56,244 - mmseg - INFO - Iter [10000/38400] lr: 3.289e-03, eta: 0:53:55, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1438, decode.loss_grad: 0.0000, loss: 0.1438, grad_norm: 0.0499 2024-01-03 21:40:01,929 - mmseg - INFO - Iter [10050/38400] lr: 3.300e-03, eta: 0:53:50, time: 0.114, data_time: 0.003, memory: 745, decode.loss_depth: 0.1478, decode.loss_grad: 0.0000, loss: 0.1478, grad_norm: 0.0506 2024-01-03 21:40:07,666 - mmseg - INFO - Iter [10100/38400] lr: 3.310e-03, eta: 0:53:44, time: 0.115, data_time: 0.003, memory: 745, decode.loss_depth: 0.1420, decode.loss_grad: 0.0000, loss: 0.1420, grad_norm: 0.0495 2024-01-03 21:40:13,088 - mmseg - INFO - Iter [10150/38400] lr: 3.320e-03, eta: 0:53:38, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1423, decode.loss_grad: 0.0000, loss: 0.1423, grad_norm: 0.0482 2024-01-03 21:40:18,421 - mmseg - INFO - Iter [10200/38400] lr: 3.331e-03, eta: 0:53:31, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1435, decode.loss_grad: 0.0000, loss: 0.1435, grad_norm: 0.0487 2024-01-03 21:40:23,771 - mmseg - INFO - Iter [10250/38400] lr: 3.341e-03, eta: 0:53:24, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1457, decode.loss_grad: 0.0000, loss: 0.1457, grad_norm: 0.0494 2024-01-03 21:40:29,166 - mmseg - INFO - Iter [10300/38400] lr: 3.351e-03, eta: 0:53:18, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1422, decode.loss_grad: 0.0000, loss: 0.1422, grad_norm: 0.0473 2024-01-03 21:40:34,518 - mmseg - INFO - Iter [10350/38400] lr: 3.361e-03, eta: 0:53:11, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1453, decode.loss_grad: 0.0000, loss: 0.1453, grad_norm: 0.0479 2024-01-03 21:40:39,881 - mmseg - INFO - Iter [10400/38400] lr: 3.371e-03, eta: 0:53:05, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1424, decode.loss_grad: 0.0000, loss: 0.1424, grad_norm: 0.0477 2024-01-03 21:40:45,251 - mmseg - INFO - Iter [10450/38400] lr: 3.381e-03, eta: 0:52:58, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1436, decode.loss_grad: 0.0000, loss: 0.1436, grad_norm: 0.0484 2024-01-03 21:40:50,643 - mmseg - INFO - Iter [10500/38400] lr: 3.391e-03, eta: 0:52:52, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1444, decode.loss_grad: 0.0000, loss: 0.1444, grad_norm: 0.0458 2024-01-03 21:40:56,027 - mmseg - INFO - Iter [10550/38400] lr: 3.401e-03, eta: 0:52:45, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1425, decode.loss_grad: 0.0000, loss: 0.1425, grad_norm: 0.0458 2024-01-03 21:41:03,498 - mmseg - INFO - Iter [10600/38400] lr: 3.410e-03, eta: 0:52:44, time: 0.149, data_time: 0.045, memory: 745, decode.loss_depth: 0.1457, decode.loss_grad: 0.0000, loss: 0.1457, grad_norm: 0.0482 2024-01-03 21:41:08,814 - mmseg - INFO - Iter [10650/38400] lr: 3.420e-03, eta: 0:52:37, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1420, decode.loss_grad: 0.0000, loss: 0.1420, grad_norm: 0.0447 2024-01-03 21:41:14,222 - mmseg - INFO - Iter [10700/38400] lr: 3.429e-03, eta: 0:52:31, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1460, decode.loss_grad: 0.0000, loss: 0.1460, grad_norm: 0.0451 2024-01-03 21:41:19,575 - mmseg - INFO - Iter [10750/38400] lr: 3.439e-03, eta: 0:52:24, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1416, decode.loss_grad: 0.0000, loss: 0.1416, grad_norm: 0.0461 2024-01-03 21:41:24,948 - mmseg - INFO - Iter [10800/38400] lr: 3.448e-03, eta: 0:52:18, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1397, decode.loss_grad: 0.0000, loss: 0.1397, grad_norm: 0.0434 2024-01-03 21:41:30,322 - mmseg - INFO - Iter [10850/38400] lr: 3.457e-03, eta: 0:52:12, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1403, decode.loss_grad: 0.0000, loss: 0.1403, grad_norm: 0.0447 2024-01-03 21:41:35,665 - mmseg - INFO - Iter [10900/38400] lr: 3.466e-03, eta: 0:52:05, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1405, decode.loss_grad: 0.0000, loss: 0.1405, grad_norm: 0.0458 2024-01-03 21:41:41,017 - mmseg - INFO - Iter [10950/38400] lr: 3.475e-03, eta: 0:51:58, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1406, decode.loss_grad: 0.0000, loss: 0.1406, grad_norm: 0.0461 2024-01-03 21:41:46,333 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:41:46,334 - mmseg - INFO - Iter [11000/38400] lr: 3.484e-03, eta: 0:51:52, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1385, decode.loss_grad: 0.0000, loss: 0.1385, grad_norm: 0.0465 2024-01-03 21:41:51,700 - mmseg - INFO - Iter [11050/38400] lr: 3.493e-03, eta: 0:51:45, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1419, decode.loss_grad: 0.0000, loss: 0.1419, grad_norm: 0.0440 2024-01-03 21:41:57,034 - mmseg - INFO - Iter [11100/38400] lr: 3.502e-03, eta: 0:51:39, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1410, decode.loss_grad: 0.0000, loss: 0.1410, grad_norm: 0.0457 2024-01-03 21:42:02,377 - mmseg - INFO - Iter [11150/38400] lr: 3.511e-03, eta: 0:51:32, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1387, decode.loss_grad: 0.0000, loss: 0.1387, grad_norm: 0.0453 2024-01-03 21:42:07,740 - mmseg - INFO - Saving checkpoint at 11200 iterations 2024-01-03 21:42:07,764 - mmseg - INFO - Iter [11200/38400] lr: 3.519e-03, eta: 0:51:26, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1407, decode.loss_grad: 0.0000, loss: 0.1407, grad_norm: 0.0447 2024-01-03 21:42:13,104 - mmseg - INFO - Iter [11250/38400] lr: 3.528e-03, eta: 0:51:20, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1376, decode.loss_grad: 0.0000, loss: 0.1376, grad_norm: 0.0429 2024-01-03 21:42:18,487 - mmseg - INFO - Iter [11300/38400] lr: 3.537e-03, eta: 0:51:13, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1439, decode.loss_grad: 0.0000, loss: 0.1439, grad_norm: 0.0436 2024-01-03 21:42:23,856 - mmseg - INFO - Iter [11350/38400] lr: 3.545e-03, eta: 0:51:07, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1395, decode.loss_grad: 0.0000, loss: 0.1395, grad_norm: 0.0423 2024-01-03 21:42:29,164 - mmseg - INFO - Iter [11400/38400] lr: 3.553e-03, eta: 0:51:00, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1386, decode.loss_grad: 0.0000, loss: 0.1386, grad_norm: 0.0432 2024-01-03 21:42:34,530 - mmseg - INFO - Iter [11450/38400] lr: 3.561e-03, eta: 0:50:54, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1420, decode.loss_grad: 0.0000, loss: 0.1420, grad_norm: 0.0439 2024-01-03 21:42:39,864 - mmseg - INFO - Iter [11500/38400] lr: 3.570e-03, eta: 0:50:47, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1423, decode.loss_grad: 0.0000, loss: 0.1423, grad_norm: 0.0416 2024-01-03 21:42:45,280 - mmseg - INFO - Iter [11550/38400] lr: 3.578e-03, eta: 0:50:41, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1392, decode.loss_grad: 0.0000, loss: 0.1392, grad_norm: 0.0421 2024-01-03 21:42:50,632 - mmseg - INFO - Iter [11600/38400] lr: 3.586e-03, eta: 0:50:35, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1401, decode.loss_grad: 0.0000, loss: 0.1401, grad_norm: 0.0421 2024-01-03 21:42:56,026 - mmseg - INFO - Iter [11650/38400] lr: 3.593e-03, eta: 0:50:29, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1398, decode.loss_grad: 0.0000, loss: 0.1398, grad_norm: 0.0416 2024-01-03 21:43:01,367 - mmseg - INFO - Iter [11700/38400] lr: 3.601e-03, eta: 0:50:22, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1399, decode.loss_grad: 0.0000, loss: 0.1399, grad_norm: 0.0423 2024-01-03 21:43:06,993 - mmseg - INFO - Iter [11750/38400] lr: 3.609e-03, eta: 0:50:16, time: 0.112, data_time: 0.003, memory: 745, decode.loss_depth: 0.1419, decode.loss_grad: 0.0000, loss: 0.1419, grad_norm: 0.0433 2024-01-03 21:43:12,758 - mmseg - INFO - Iter [11800/38400] lr: 3.616e-03, eta: 0:50:11, time: 0.115, data_time: 0.003, memory: 745, decode.loss_depth: 0.1411, decode.loss_grad: 0.0000, loss: 0.1411, grad_norm: 0.0426 2024-01-03 21:43:18,117 - mmseg - INFO - Iter [11850/38400] lr: 3.624e-03, eta: 0:50:05, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1398, decode.loss_grad: 0.0000, loss: 0.1398, grad_norm: 0.0415 2024-01-03 21:43:23,492 - mmseg - INFO - Iter [11900/38400] lr: 3.631e-03, eta: 0:49:58, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1415, decode.loss_grad: 0.0000, loss: 0.1415, grad_norm: 0.0422 2024-01-03 21:43:28,864 - mmseg - INFO - Iter [11950/38400] lr: 3.639e-03, eta: 0:49:52, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1387, decode.loss_grad: 0.0000, loss: 0.1387, grad_norm: 0.0413 2024-01-03 21:43:34,869 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:43:34,869 - mmseg - INFO - Iter [12000/38400] lr: 3.646e-03, eta: 0:49:47, time: 0.120, data_time: 0.003, memory: 745, decode.loss_depth: 0.1404, decode.loss_grad: 0.0000, loss: 0.1404, grad_norm: 0.0421 2024-01-03 21:43:40,313 - mmseg - INFO - Iter [12050/38400] lr: 3.653e-03, eta: 0:49:41, time: 0.109, data_time: 0.003, memory: 745, decode.loss_depth: 0.1427, decode.loss_grad: 0.0000, loss: 0.1427, grad_norm: 0.0410 2024-01-03 21:43:45,625 - mmseg - INFO - Iter [12100/38400] lr: 3.660e-03, eta: 0:49:35, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1425, decode.loss_grad: 0.0000, loss: 0.1425, grad_norm: 0.0412 2024-01-03 21:43:53,158 - mmseg - INFO - Iter [12150/38400] lr: 3.667e-03, eta: 0:49:33, time: 0.151, data_time: 0.047, memory: 745, decode.loss_depth: 0.1341, decode.loss_grad: 0.0000, loss: 0.1341, grad_norm: 0.0404 2024-01-03 21:43:58,585 - mmseg - INFO - Iter [12200/38400] lr: 3.674e-03, eta: 0:49:27, time: 0.109, data_time: 0.003, memory: 745, decode.loss_depth: 0.1386, decode.loss_grad: 0.0000, loss: 0.1386, grad_norm: 0.0414 2024-01-03 21:44:04,064 - mmseg - INFO - Iter [12250/38400] lr: 3.681e-03, eta: 0:49:21, time: 0.110, data_time: 0.003, memory: 745, decode.loss_depth: 0.1374, decode.loss_grad: 0.0000, loss: 0.1374, grad_norm: 0.0401 2024-01-03 21:44:09,436 - mmseg - INFO - Iter [12300/38400] lr: 3.688e-03, eta: 0:49:14, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1391, decode.loss_grad: 0.0000, loss: 0.1391, grad_norm: 0.0403 2024-01-03 21:44:14,760 - mmseg - INFO - Iter [12350/38400] lr: 3.694e-03, eta: 0:49:08, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1366, decode.loss_grad: 0.0000, loss: 0.1366, grad_norm: 0.0410 2024-01-03 21:44:20,077 - mmseg - INFO - Iter [12400/38400] lr: 3.701e-03, eta: 0:49:02, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1388, decode.loss_grad: 0.0000, loss: 0.1388, grad_norm: 0.0397 2024-01-03 21:44:25,435 - mmseg - INFO - Iter [12450/38400] lr: 3.707e-03, eta: 0:48:55, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1403, decode.loss_grad: 0.0000, loss: 0.1403, grad_norm: 0.0407 2024-01-03 21:44:30,801 - mmseg - INFO - Iter [12500/38400] lr: 3.714e-03, eta: 0:48:49, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1380, decode.loss_grad: 0.0000, loss: 0.1380, grad_norm: 0.0400 2024-01-03 21:44:36,134 - mmseg - INFO - Iter [12550/38400] lr: 3.720e-03, eta: 0:48:43, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1389, decode.loss_grad: 0.0000, loss: 0.1389, grad_norm: 0.0398 2024-01-03 21:44:41,488 - mmseg - INFO - Iter [12600/38400] lr: 3.726e-03, eta: 0:48:37, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1386, decode.loss_grad: 0.0000, loss: 0.1386, grad_norm: 0.0391 2024-01-03 21:44:46,866 - mmseg - INFO - Iter [12650/38400] lr: 3.732e-03, eta: 0:48:30, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1406, decode.loss_grad: 0.0000, loss: 0.1406, grad_norm: 0.0399 2024-01-03 21:44:52,197 - mmseg - INFO - Iter [12700/38400] lr: 3.738e-03, eta: 0:48:24, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1396, decode.loss_grad: 0.0000, loss: 0.1396, grad_norm: 0.0399 2024-01-03 21:44:57,565 - mmseg - INFO - Iter [12750/38400] lr: 3.744e-03, eta: 0:48:18, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1380, decode.loss_grad: 0.0000, loss: 0.1380, grad_norm: 0.0395 2024-01-03 21:45:02,961 - mmseg - INFO - Saving checkpoint at 12800 iterations 2024-01-03 21:45:02,994 - mmseg - INFO - Iter [12800/38400] lr: 3.750e-03, eta: 0:48:12, time: 0.109, data_time: 0.003, memory: 745, decode.loss_depth: 0.1363, decode.loss_grad: 0.0000, loss: 0.1363, grad_norm: 0.0380 2024-01-03 21:45:12,222 - mmseg - INFO - Summary: 2024-01-03 21:45:12,223 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.7207 | 0.9407 | 0.9874 | 0.1817 | 0.5911 | 0.0749 | 0.2155 | 17.7851 | 0.1441 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 21:45:12,224 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/original/deit3_base_patch16_224.fb_in1k/best_abs_rel_iter_6400.pth was removed 2024-01-03 21:45:12,241 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_12800.pth. 2024-01-03 21:45:12,242 - mmseg - INFO - Best abs_rel is 0.1817 at 12800 iter. 2024-01-03 21:45:12,242 - mmseg - INFO - Iter(val) [82] a1: 0.7207, a2: 0.9407, a3: 0.9874, abs_rel: 0.1816888451576233, rmse: 0.5910677909851074, log_10: 0.07492828369140625, rmse_log: 0.21547846496105194, silog: 17.7851, sq_rel: 0.1440998911857605 2024-01-03 21:45:18,191 - mmseg - INFO - Iter [12850/38400] lr: 3.741e-03, eta: 0:48:25, time: 0.304, data_time: 0.188, memory: 745, decode.loss_depth: 0.1373, decode.loss_grad: 0.0000, loss: 0.1373, grad_norm: 0.0392 2024-01-03 21:45:23,548 - mmseg - INFO - Iter [12900/38400] lr: 3.732e-03, eta: 0:48:19, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1387, decode.loss_grad: 0.0000, loss: 0.1387, grad_norm: 0.0385 2024-01-03 21:45:28,957 - mmseg - INFO - Iter [12950/38400] lr: 3.724e-03, eta: 0:48:13, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1353, decode.loss_grad: 0.0000, loss: 0.1353, grad_norm: 0.0392 2024-01-03 21:45:34,331 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:45:34,332 - mmseg - INFO - Iter [13000/38400] lr: 3.715e-03, eta: 0:48:06, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1373, decode.loss_grad: 0.0000, loss: 0.1373, grad_norm: 0.0382 2024-01-03 21:45:39,665 - mmseg - INFO - Iter [13050/38400] lr: 3.706e-03, eta: 0:48:00, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1355, decode.loss_grad: 0.0000, loss: 0.1355, grad_norm: 0.0374 2024-01-03 21:45:45,043 - mmseg - INFO - Iter [13100/38400] lr: 3.697e-03, eta: 0:47:54, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1355, decode.loss_grad: 0.0000, loss: 0.1355, grad_norm: 0.0361 2024-01-03 21:45:50,390 - mmseg - INFO - Iter [13150/38400] lr: 3.688e-03, eta: 0:47:47, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1390, decode.loss_grad: 0.0000, loss: 0.1390, grad_norm: 0.0396 2024-01-03 21:45:55,772 - mmseg - INFO - Iter [13200/38400] lr: 3.679e-03, eta: 0:47:41, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1387, decode.loss_grad: 0.0000, loss: 0.1387, grad_norm: 0.0379 2024-01-03 21:46:01,136 - mmseg - INFO - Iter [13250/38400] lr: 3.670e-03, eta: 0:47:35, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1386, decode.loss_grad: 0.0000, loss: 0.1386, grad_norm: 0.0386 2024-01-03 21:46:06,488 - mmseg - INFO - Iter [13300/38400] lr: 3.661e-03, eta: 0:47:28, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1369, decode.loss_grad: 0.0000, loss: 0.1369, grad_norm: 0.0363 2024-01-03 21:46:11,918 - mmseg - INFO - Iter [13350/38400] lr: 3.652e-03, eta: 0:47:22, time: 0.109, data_time: 0.003, memory: 745, decode.loss_depth: 0.1405, decode.loss_grad: 0.0000, loss: 0.1405, grad_norm: 0.0379 2024-01-03 21:46:17,284 - mmseg - INFO - Iter [13400/38400] lr: 3.642e-03, eta: 0:47:16, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1400, decode.loss_grad: 0.0000, loss: 0.1400, grad_norm: 0.0392 2024-01-03 21:46:24,102 - mmseg - INFO - Iter [13450/38400] lr: 3.633e-03, eta: 0:47:13, time: 0.136, data_time: 0.003, memory: 745, decode.loss_depth: 0.1371, decode.loss_grad: 0.0000, loss: 0.1371, grad_norm: 0.0376 2024-01-03 21:46:29,500 - mmseg - INFO - Iter [13500/38400] lr: 3.624e-03, eta: 0:47:06, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1345, decode.loss_grad: 0.0000, loss: 0.1345, grad_norm: 0.0358 2024-01-03 21:46:34,820 - mmseg - INFO - Iter [13550/38400] lr: 3.615e-03, eta: 0:47:00, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1369, decode.loss_grad: 0.0000, loss: 0.1369, grad_norm: 0.0358 2024-01-03 21:46:40,245 - mmseg - INFO - Iter [13600/38400] lr: 3.606e-03, eta: 0:46:54, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1396, decode.loss_grad: 0.0000, loss: 0.1396, grad_norm: 0.0388 2024-01-03 21:46:47,765 - mmseg - INFO - Iter [13650/38400] lr: 3.597e-03, eta: 0:46:52, time: 0.150, data_time: 0.047, memory: 745, decode.loss_depth: 0.1350, decode.loss_grad: 0.0000, loss: 0.1350, grad_norm: 0.0368 2024-01-03 21:46:53,159 - mmseg - INFO - Iter [13700/38400] lr: 3.588e-03, eta: 0:46:45, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1373, decode.loss_grad: 0.0000, loss: 0.1373, grad_norm: 0.0367 2024-01-03 21:46:58,523 - mmseg - INFO - Iter [13750/38400] lr: 3.578e-03, eta: 0:46:39, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1329, decode.loss_grad: 0.0000, loss: 0.1329, grad_norm: 0.0360 2024-01-03 21:47:03,833 - mmseg - INFO - Iter [13800/38400] lr: 3.569e-03, eta: 0:46:33, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1360, decode.loss_grad: 0.0000, loss: 0.1360, grad_norm: 0.0365 2024-01-03 21:47:09,165 - mmseg - INFO - Iter [13850/38400] lr: 3.560e-03, eta: 0:46:26, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1351, decode.loss_grad: 0.0000, loss: 0.1351, grad_norm: 0.0373 2024-01-03 21:47:14,505 - mmseg - INFO - Iter [13900/38400] lr: 3.551e-03, eta: 0:46:20, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1365, decode.loss_grad: 0.0000, loss: 0.1365, grad_norm: 0.0372 2024-01-03 21:47:19,882 - mmseg - INFO - Iter [13950/38400] lr: 3.541e-03, eta: 0:46:14, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1383, decode.loss_grad: 0.0000, loss: 0.1383, grad_norm: 0.0362 2024-01-03 21:47:25,195 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:47:25,196 - mmseg - INFO - Iter [14000/38400] lr: 3.532e-03, eta: 0:46:08, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1356, decode.loss_grad: 0.0000, loss: 0.1356, grad_norm: 0.0372 2024-01-03 21:47:30,565 - mmseg - INFO - Iter [14050/38400] lr: 3.523e-03, eta: 0:46:02, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1319, decode.loss_grad: 0.0000, loss: 0.1319, grad_norm: 0.0356 2024-01-03 21:47:35,914 - mmseg - INFO - Iter [14100/38400] lr: 3.513e-03, eta: 0:45:55, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1319, decode.loss_grad: 0.0000, loss: 0.1319, grad_norm: 0.0366 2024-01-03 21:47:41,287 - mmseg - INFO - Iter [14150/38400] lr: 3.504e-03, eta: 0:45:49, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1345, decode.loss_grad: 0.0000, loss: 0.1345, grad_norm: 0.0366 2024-01-03 21:47:46,656 - mmseg - INFO - Iter [14200/38400] lr: 3.495e-03, eta: 0:45:43, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1325, decode.loss_grad: 0.0000, loss: 0.1325, grad_norm: 0.0348 2024-01-03 21:47:52,053 - mmseg - INFO - Iter [14250/38400] lr: 3.485e-03, eta: 0:45:37, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1326, decode.loss_grad: 0.0000, loss: 0.1326, grad_norm: 0.0348 2024-01-03 21:47:57,426 - mmseg - INFO - Iter [14300/38400] lr: 3.476e-03, eta: 0:45:31, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1350, decode.loss_grad: 0.0000, loss: 0.1350, grad_norm: 0.0352 2024-01-03 21:48:02,766 - mmseg - INFO - Iter [14350/38400] lr: 3.466e-03, eta: 0:45:24, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1320, decode.loss_grad: 0.0000, loss: 0.1320, grad_norm: 0.0346 2024-01-03 21:48:08,119 - mmseg - INFO - Saving checkpoint at 14400 iterations 2024-01-03 21:48:08,144 - mmseg - INFO - Iter [14400/38400] lr: 3.457e-03, eta: 0:45:18, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1343, decode.loss_grad: 0.0000, loss: 0.1343, grad_norm: 0.0343 2024-01-03 21:48:13,473 - mmseg - INFO - Iter [14450/38400] lr: 3.447e-03, eta: 0:45:12, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1364, decode.loss_grad: 0.0000, loss: 0.1364, grad_norm: 0.0368 2024-01-03 21:48:18,803 - mmseg - INFO - Iter [14500/38400] lr: 3.438e-03, eta: 0:45:06, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1335, decode.loss_grad: 0.0000, loss: 0.1335, grad_norm: 0.0355 2024-01-03 21:48:24,147 - mmseg - INFO - Iter [14550/38400] lr: 3.428e-03, eta: 0:45:00, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1340, decode.loss_grad: 0.0000, loss: 0.1340, grad_norm: 0.0342 2024-01-03 21:48:29,532 - mmseg - INFO - Iter [14600/38400] lr: 3.419e-03, eta: 0:44:54, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1352, decode.loss_grad: 0.0000, loss: 0.1352, grad_norm: 0.0364 2024-01-03 21:48:34,916 - mmseg - INFO - Iter [14650/38400] lr: 3.409e-03, eta: 0:44:47, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1332, decode.loss_grad: 0.0000, loss: 0.1332, grad_norm: 0.0353 2024-01-03 21:48:40,286 - mmseg - INFO - Iter [14700/38400] lr: 3.400e-03, eta: 0:44:41, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1341, decode.loss_grad: 0.0000, loss: 0.1341, grad_norm: 0.0352 2024-01-03 21:48:45,669 - mmseg - INFO - Iter [14750/38400] lr: 3.390e-03, eta: 0:44:35, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1377, decode.loss_grad: 0.0000, loss: 0.1377, grad_norm: 0.0358 2024-01-03 21:48:51,069 - mmseg - INFO - Iter [14800/38400] lr: 3.381e-03, eta: 0:44:29, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1352, decode.loss_grad: 0.0000, loss: 0.1352, grad_norm: 0.0363 2024-01-03 21:48:57,097 - mmseg - INFO - Iter [14850/38400] lr: 3.371e-03, eta: 0:44:24, time: 0.121, data_time: 0.003, memory: 745, decode.loss_depth: 0.1326, decode.loss_grad: 0.0000, loss: 0.1326, grad_norm: 0.0346 2024-01-03 21:49:02,531 - mmseg - INFO - Iter [14900/38400] lr: 3.362e-03, eta: 0:44:18, time: 0.109, data_time: 0.003, memory: 745, decode.loss_depth: 0.1362, decode.loss_grad: 0.0000, loss: 0.1362, grad_norm: 0.0344 2024-01-03 21:49:07,923 - mmseg - INFO - Iter [14950/38400] lr: 3.352e-03, eta: 0:44:12, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1340, decode.loss_grad: 0.0000, loss: 0.1340, grad_norm: 0.0361 2024-01-03 21:49:13,192 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:49:13,192 - mmseg - INFO - Iter [15000/38400] lr: 3.342e-03, eta: 0:44:06, time: 0.105, data_time: 0.003, memory: 745, decode.loss_depth: 0.1299, decode.loss_grad: 0.0000, loss: 0.1299, grad_norm: 0.0329 2024-01-03 21:49:18,553 - mmseg - INFO - Iter [15050/38400] lr: 3.333e-03, eta: 0:44:00, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1328, decode.loss_grad: 0.0000, loss: 0.1328, grad_norm: 0.0342 2024-01-03 21:49:23,908 - mmseg - INFO - Iter [15100/38400] lr: 3.323e-03, eta: 0:43:54, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1331, decode.loss_grad: 0.0000, loss: 0.1331, grad_norm: 0.0349 2024-01-03 21:49:31,419 - mmseg - INFO - Iter [15150/38400] lr: 3.313e-03, eta: 0:43:51, time: 0.150, data_time: 0.046, memory: 745, decode.loss_depth: 0.1315, decode.loss_grad: 0.0000, loss: 0.1315, grad_norm: 0.0335 2024-01-03 21:49:36,754 - mmseg - INFO - Iter [15200/38400] lr: 3.304e-03, eta: 0:43:45, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1330, decode.loss_grad: 0.0000, loss: 0.1330, grad_norm: 0.0337 2024-01-03 21:49:42,151 - mmseg - INFO - Iter [15250/38400] lr: 3.294e-03, eta: 0:43:39, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1323, decode.loss_grad: 0.0000, loss: 0.1323, grad_norm: 0.0347 2024-01-03 21:49:47,539 - mmseg - INFO - Iter [15300/38400] lr: 3.284e-03, eta: 0:43:32, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1300, decode.loss_grad: 0.0000, loss: 0.1300, grad_norm: 0.0344 2024-01-03 21:49:52,892 - mmseg - INFO - Iter [15350/38400] lr: 3.275e-03, eta: 0:43:26, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1321, decode.loss_grad: 0.0000, loss: 0.1321, grad_norm: 0.0331 2024-01-03 21:49:58,246 - mmseg - INFO - Iter [15400/38400] lr: 3.265e-03, eta: 0:43:20, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1312, decode.loss_grad: 0.0000, loss: 0.1312, grad_norm: 0.0335 2024-01-03 21:50:03,596 - mmseg - INFO - Iter [15450/38400] lr: 3.255e-03, eta: 0:43:14, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1330, decode.loss_grad: 0.0000, loss: 0.1330, grad_norm: 0.0347 2024-01-03 21:50:09,019 - mmseg - INFO - Iter [15500/38400] lr: 3.245e-03, eta: 0:43:08, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1328, decode.loss_grad: 0.0000, loss: 0.1328, grad_norm: 0.0338 2024-01-03 21:50:14,414 - mmseg - INFO - Iter [15550/38400] lr: 3.236e-03, eta: 0:43:02, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1309, decode.loss_grad: 0.0000, loss: 0.1309, grad_norm: 0.0344 2024-01-03 21:50:19,770 - mmseg - INFO - Iter [15600/38400] lr: 3.226e-03, eta: 0:42:56, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1320, decode.loss_grad: 0.0000, loss: 0.1320, grad_norm: 0.0340 2024-01-03 21:50:25,137 - mmseg - INFO - Iter [15650/38400] lr: 3.216e-03, eta: 0:42:50, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1325, decode.loss_grad: 0.0000, loss: 0.1325, grad_norm: 0.0334 2024-01-03 21:50:30,522 - mmseg - INFO - Iter [15700/38400] lr: 3.206e-03, eta: 0:42:44, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1310, decode.loss_grad: 0.0000, loss: 0.1310, grad_norm: 0.0334 2024-01-03 21:50:35,832 - mmseg - INFO - Iter [15750/38400] lr: 3.196e-03, eta: 0:42:38, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1289, decode.loss_grad: 0.0000, loss: 0.1289, grad_norm: 0.0347 2024-01-03 21:50:41,191 - mmseg - INFO - Iter [15800/38400] lr: 3.187e-03, eta: 0:42:32, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1333, decode.loss_grad: 0.0000, loss: 0.1333, grad_norm: 0.0343 2024-01-03 21:50:46,564 - mmseg - INFO - Iter [15850/38400] lr: 3.177e-03, eta: 0:42:26, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1278, decode.loss_grad: 0.0000, loss: 0.1278, grad_norm: 0.0326 2024-01-03 21:50:52,012 - mmseg - INFO - Iter [15900/38400] lr: 3.167e-03, eta: 0:42:20, time: 0.109, data_time: 0.003, memory: 745, decode.loss_depth: 0.1328, decode.loss_grad: 0.0000, loss: 0.1328, grad_norm: 0.0336 2024-01-03 21:50:57,388 - mmseg - INFO - Iter [15950/38400] lr: 3.157e-03, eta: 0:42:14, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1318, decode.loss_grad: 0.0000, loss: 0.1318, grad_norm: 0.0333 2024-01-03 21:51:02,733 - mmseg - INFO - Saving checkpoint at 16000 iterations 2024-01-03 21:51:02,758 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:51:02,758 - mmseg - INFO - Iter [16000/38400] lr: 3.147e-03, eta: 0:42:08, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1322, decode.loss_grad: 0.0000, loss: 0.1322, grad_norm: 0.0326 2024-01-03 21:51:11,973 - mmseg - INFO - Summary: 2024-01-03 21:51:11,974 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+--------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+--------+--------+ | 0.7252 | 0.9431 | 0.9876 | 0.1796 | 0.5831 | 0.0743 | 0.2138 | 17.649 | 0.1379 | +--------+--------+--------+---------+--------+--------+----------+--------+--------+ 2024-01-03 21:51:11,975 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/original/deit3_base_patch16_224.fb_in1k/best_abs_rel_iter_12800.pth was removed 2024-01-03 21:51:11,992 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_16000.pth. 2024-01-03 21:51:11,992 - mmseg - INFO - Best abs_rel is 0.1796 at 16000 iter. 2024-01-03 21:51:11,992 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:51:11,992 - mmseg - INFO - Iter(val) [82] a1: 0.7252, a2: 0.9431, a3: 0.9876, abs_rel: 0.1795896738767624, rmse: 0.5831326842308044, log_10: 0.07425881177186966, rmse_log: 0.21377325057983398, silog: 17.6490, sq_rel: 0.13794194161891937 2024-01-03 21:51:17,340 - mmseg - INFO - Iter [16050/38400] lr: 3.137e-03, eta: 0:42:15, time: 0.292, data_time: 0.188, memory: 745, decode.loss_depth: 0.1295, decode.loss_grad: 0.0000, loss: 0.1295, grad_norm: 0.0317 2024-01-03 21:51:22,742 - mmseg - INFO - Iter [16100/38400] lr: 3.127e-03, eta: 0:42:08, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1290, decode.loss_grad: 0.0000, loss: 0.1290, grad_norm: 0.0335 2024-01-03 21:51:28,068 - mmseg - INFO - Iter [16150/38400] lr: 3.118e-03, eta: 0:42:02, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1307, decode.loss_grad: 0.0000, loss: 0.1307, grad_norm: 0.0325 2024-01-03 21:51:33,431 - mmseg - INFO - Iter [16200/38400] lr: 3.108e-03, eta: 0:41:56, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1302, decode.loss_grad: 0.0000, loss: 0.1302, grad_norm: 0.0331 2024-01-03 21:51:38,815 - mmseg - INFO - Iter [16250/38400] lr: 3.098e-03, eta: 0:41:50, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1316, decode.loss_grad: 0.0000, loss: 0.1316, grad_norm: 0.0332 2024-01-03 21:51:44,216 - mmseg - INFO - Iter [16300/38400] lr: 3.088e-03, eta: 0:41:44, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1305, decode.loss_grad: 0.0000, loss: 0.1305, grad_norm: 0.0343 2024-01-03 21:51:49,584 - mmseg - INFO - Iter [16350/38400] lr: 3.078e-03, eta: 0:41:38, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1327, decode.loss_grad: 0.0000, loss: 0.1327, grad_norm: 0.0342 2024-01-03 21:51:54,920 - mmseg - INFO - Iter [16400/38400] lr: 3.068e-03, eta: 0:41:32, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1303, decode.loss_grad: 0.0000, loss: 0.1303, grad_norm: 0.0334 2024-01-03 21:52:00,287 - mmseg - INFO - Iter [16450/38400] lr: 3.058e-03, eta: 0:41:26, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1310, decode.loss_grad: 0.0000, loss: 0.1310, grad_norm: 0.0330 2024-01-03 21:52:05,641 - mmseg - INFO - Iter [16500/38400] lr: 3.048e-03, eta: 0:41:20, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1329, decode.loss_grad: 0.0000, loss: 0.1329, grad_norm: 0.0327 2024-01-03 21:52:11,007 - mmseg - INFO - Iter [16550/38400] lr: 3.038e-03, eta: 0:41:14, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1285, decode.loss_grad: 0.0000, loss: 0.1285, grad_norm: 0.0335 2024-01-03 21:52:16,396 - mmseg - INFO - Iter [16600/38400] lr: 3.028e-03, eta: 0:41:08, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1312, decode.loss_grad: 0.0000, loss: 0.1312, grad_norm: 0.0320 2024-01-03 21:52:21,777 - mmseg - INFO - Iter [16650/38400] lr: 3.018e-03, eta: 0:41:02, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1301, decode.loss_grad: 0.0000, loss: 0.1301, grad_norm: 0.0325 2024-01-03 21:52:29,278 - mmseg - INFO - Iter [16700/38400] lr: 3.008e-03, eta: 0:40:58, time: 0.150, data_time: 0.046, memory: 745, decode.loss_depth: 0.1266, decode.loss_grad: 0.0000, loss: 0.1266, grad_norm: 0.0319 2024-01-03 21:52:34,651 - mmseg - INFO - Iter [16750/38400] lr: 2.998e-03, eta: 0:40:52, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1291, decode.loss_grad: 0.0000, loss: 0.1291, grad_norm: 0.0325 2024-01-03 21:52:39,988 - mmseg - INFO - Iter [16800/38400] lr: 2.988e-03, eta: 0:40:46, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1288, decode.loss_grad: 0.0000, loss: 0.1288, grad_norm: 0.0324 2024-01-03 21:52:45,339 - mmseg - INFO - Iter [16850/38400] lr: 2.978e-03, eta: 0:40:40, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1273, decode.loss_grad: 0.0000, loss: 0.1273, grad_norm: 0.0326 2024-01-03 21:52:50,653 - mmseg - INFO - Iter [16900/38400] lr: 2.968e-03, eta: 0:40:34, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1321, decode.loss_grad: 0.0000, loss: 0.1321, grad_norm: 0.0333 2024-01-03 21:52:56,048 - mmseg - INFO - Iter [16950/38400] lr: 2.958e-03, eta: 0:40:28, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1292, decode.loss_grad: 0.0000, loss: 0.1292, grad_norm: 0.0343 2024-01-03 21:53:01,402 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:53:01,403 - mmseg - INFO - Iter [17000/38400] lr: 2.948e-03, eta: 0:40:22, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1270, decode.loss_grad: 0.0000, loss: 0.1270, grad_norm: 0.0322 2024-01-03 21:53:06,783 - mmseg - INFO - Iter [17050/38400] lr: 2.938e-03, eta: 0:40:16, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1297, decode.loss_grad: 0.0000, loss: 0.1297, grad_norm: 0.0320 2024-01-03 21:53:12,115 - mmseg - INFO - Iter [17100/38400] lr: 2.928e-03, eta: 0:40:10, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1257, decode.loss_grad: 0.0000, loss: 0.1257, grad_norm: 0.0320 2024-01-03 21:53:17,479 - mmseg - INFO - Iter [17150/38400] lr: 2.918e-03, eta: 0:40:04, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1276, decode.loss_grad: 0.0000, loss: 0.1276, grad_norm: 0.0320 2024-01-03 21:53:22,812 - mmseg - INFO - Iter [17200/38400] lr: 2.907e-03, eta: 0:39:58, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1254, decode.loss_grad: 0.0000, loss: 0.1254, grad_norm: 0.0313 2024-01-03 21:53:28,228 - mmseg - INFO - Iter [17250/38400] lr: 2.897e-03, eta: 0:39:52, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1291, decode.loss_grad: 0.0000, loss: 0.1291, grad_norm: 0.0325 2024-01-03 21:53:33,617 - mmseg - INFO - Iter [17300/38400] lr: 2.887e-03, eta: 0:39:46, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1292, decode.loss_grad: 0.0000, loss: 0.1292, grad_norm: 0.0323 2024-01-03 21:53:39,000 - mmseg - INFO - Iter [17350/38400] lr: 2.877e-03, eta: 0:39:40, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1280, decode.loss_grad: 0.0000, loss: 0.1280, grad_norm: 0.0324 2024-01-03 21:53:44,341 - mmseg - INFO - Iter [17400/38400] lr: 2.867e-03, eta: 0:39:34, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1285, decode.loss_grad: 0.0000, loss: 0.1285, grad_norm: 0.0334 2024-01-03 21:53:49,673 - mmseg - INFO - Iter [17450/38400] lr: 2.857e-03, eta: 0:39:28, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1287, decode.loss_grad: 0.0000, loss: 0.1287, grad_norm: 0.0332 2024-01-03 21:53:55,049 - mmseg - INFO - Iter [17500/38400] lr: 2.847e-03, eta: 0:39:22, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1260, decode.loss_grad: 0.0000, loss: 0.1260, grad_norm: 0.0306 2024-01-03 21:54:00,385 - mmseg - INFO - Iter [17550/38400] lr: 2.837e-03, eta: 0:39:16, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1287, decode.loss_grad: 0.0000, loss: 0.1287, grad_norm: 0.0311 2024-01-03 21:54:05,757 - mmseg - INFO - Saving checkpoint at 17600 iterations 2024-01-03 21:54:05,781 - mmseg - INFO - Iter [17600/38400] lr: 2.827e-03, eta: 0:39:10, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1311, decode.loss_grad: 0.0000, loss: 0.1311, grad_norm: 0.0319 2024-01-03 21:54:11,135 - mmseg - INFO - Iter [17650/38400] lr: 2.816e-03, eta: 0:39:04, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1290, decode.loss_grad: 0.0000, loss: 0.1290, grad_norm: 0.0324 2024-01-03 21:54:16,521 - mmseg - INFO - Iter [17700/38400] lr: 2.806e-03, eta: 0:38:58, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1280, decode.loss_grad: 0.0000, loss: 0.1280, grad_norm: 0.0326 2024-01-03 21:54:21,898 - mmseg - INFO - Iter [17750/38400] lr: 2.796e-03, eta: 0:38:52, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1309, decode.loss_grad: 0.0000, loss: 0.1309, grad_norm: 0.0326 2024-01-03 21:54:27,238 - mmseg - INFO - Iter [17800/38400] lr: 2.786e-03, eta: 0:38:46, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1290, decode.loss_grad: 0.0000, loss: 0.1290, grad_norm: 0.0329 2024-01-03 21:54:32,533 - mmseg - INFO - Iter [17850/38400] lr: 2.776e-03, eta: 0:38:40, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1285, decode.loss_grad: 0.0000, loss: 0.1285, grad_norm: 0.0327 2024-01-03 21:54:37,923 - mmseg - INFO - Iter [17900/38400] lr: 2.766e-03, eta: 0:38:34, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1287, decode.loss_grad: 0.0000, loss: 0.1287, grad_norm: 0.0326 2024-01-03 21:54:43,348 - mmseg - INFO - Iter [17950/38400] lr: 2.755e-03, eta: 0:38:28, time: 0.109, data_time: 0.003, memory: 745, decode.loss_depth: 0.1293, decode.loss_grad: 0.0000, loss: 0.1293, grad_norm: 0.0322 2024-01-03 21:54:48,725 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:54:48,725 - mmseg - INFO - Iter [18000/38400] lr: 2.745e-03, eta: 0:38:22, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1286, decode.loss_grad: 0.0000, loss: 0.1286, grad_norm: 0.0322 2024-01-03 21:54:54,110 - mmseg - INFO - Iter [18050/38400] lr: 2.735e-03, eta: 0:38:16, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1267, decode.loss_grad: 0.0000, loss: 0.1267, grad_norm: 0.0309 2024-01-03 21:54:59,488 - mmseg - INFO - Iter [18100/38400] lr: 2.725e-03, eta: 0:38:10, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1272, decode.loss_grad: 0.0000, loss: 0.1272, grad_norm: 0.0315 2024-01-03 21:55:04,810 - mmseg - INFO - Iter [18150/38400] lr: 2.715e-03, eta: 0:38:04, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1272, decode.loss_grad: 0.0000, loss: 0.1272, grad_norm: 0.0311 2024-01-03 21:55:12,361 - mmseg - INFO - Iter [18200/38400] lr: 2.705e-03, eta: 0:38:01, time: 0.151, data_time: 0.047, memory: 745, decode.loss_depth: 0.1287, decode.loss_grad: 0.0000, loss: 0.1287, grad_norm: 0.0318 2024-01-03 21:55:17,670 - mmseg - INFO - Iter [18250/38400] lr: 2.694e-03, eta: 0:37:55, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1248, decode.loss_grad: 0.0000, loss: 0.1248, grad_norm: 0.0318 2024-01-03 21:55:24,843 - mmseg - INFO - Iter [18300/38400] lr: 2.684e-03, eta: 0:37:51, time: 0.143, data_time: 0.003, memory: 745, decode.loss_depth: 0.1280, decode.loss_grad: 0.0000, loss: 0.1280, grad_norm: 0.0309 2024-01-03 21:55:30,269 - mmseg - INFO - Iter [18350/38400] lr: 2.674e-03, eta: 0:37:45, time: 0.109, data_time: 0.004, memory: 745, decode.loss_depth: 0.1253, decode.loss_grad: 0.0000, loss: 0.1253, grad_norm: 0.0303 2024-01-03 21:55:35,642 - mmseg - INFO - Iter [18400/38400] lr: 2.664e-03, eta: 0:37:39, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1274, decode.loss_grad: 0.0000, loss: 0.1274, grad_norm: 0.0319 2024-01-03 21:55:41,067 - mmseg - INFO - Iter [18450/38400] lr: 2.654e-03, eta: 0:37:33, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1245, decode.loss_grad: 0.0000, loss: 0.1245, grad_norm: 0.0302 2024-01-03 21:55:46,421 - mmseg - INFO - Iter [18500/38400] lr: 2.643e-03, eta: 0:37:27, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1248, decode.loss_grad: 0.0000, loss: 0.1248, grad_norm: 0.0308 2024-01-03 21:55:51,872 - mmseg - INFO - Iter [18550/38400] lr: 2.633e-03, eta: 0:37:21, time: 0.109, data_time: 0.003, memory: 745, decode.loss_depth: 0.1263, decode.loss_grad: 0.0000, loss: 0.1263, grad_norm: 0.0326 2024-01-03 21:55:57,279 - mmseg - INFO - Iter [18600/38400] lr: 2.623e-03, eta: 0:37:15, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1249, decode.loss_grad: 0.0000, loss: 0.1249, grad_norm: 0.0329 2024-01-03 21:56:02,685 - mmseg - INFO - Iter [18650/38400] lr: 2.613e-03, eta: 0:37:09, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1283, decode.loss_grad: 0.0000, loss: 0.1283, grad_norm: 0.0323 2024-01-03 21:56:07,974 - mmseg - INFO - Iter [18700/38400] lr: 2.602e-03, eta: 0:37:03, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1262, decode.loss_grad: 0.0000, loss: 0.1262, grad_norm: 0.0320 2024-01-03 21:56:13,397 - mmseg - INFO - Iter [18750/38400] lr: 2.592e-03, eta: 0:36:58, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1269, decode.loss_grad: 0.0000, loss: 0.1269, grad_norm: 0.0305 2024-01-03 21:56:18,707 - mmseg - INFO - Iter [18800/38400] lr: 2.582e-03, eta: 0:36:52, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1262, decode.loss_grad: 0.0000, loss: 0.1262, grad_norm: 0.0313 2024-01-03 21:56:24,071 - mmseg - INFO - Iter [18850/38400] lr: 2.572e-03, eta: 0:36:46, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1273, decode.loss_grad: 0.0000, loss: 0.1273, grad_norm: 0.0316 2024-01-03 21:56:29,477 - mmseg - INFO - Iter [18900/38400] lr: 2.562e-03, eta: 0:36:40, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1280, decode.loss_grad: 0.0000, loss: 0.1280, grad_norm: 0.0319 2024-01-03 21:56:34,866 - mmseg - INFO - Iter [18950/38400] lr: 2.551e-03, eta: 0:36:34, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1258, decode.loss_grad: 0.0000, loss: 0.1258, grad_norm: 0.0304 2024-01-03 21:56:40,263 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:56:40,263 - mmseg - INFO - Iter [19000/38400] lr: 2.541e-03, eta: 0:36:28, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1265, decode.loss_grad: 0.0000, loss: 0.1265, grad_norm: 0.0297 2024-01-03 21:56:45,625 - mmseg - INFO - Iter [19050/38400] lr: 2.531e-03, eta: 0:36:22, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1249, decode.loss_grad: 0.0000, loss: 0.1249, grad_norm: 0.0302 2024-01-03 21:56:50,911 - mmseg - INFO - Iter [19100/38400] lr: 2.521e-03, eta: 0:36:16, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1250, decode.loss_grad: 0.0000, loss: 0.1250, grad_norm: 0.0308 2024-01-03 21:56:56,279 - mmseg - INFO - Iter [19150/38400] lr: 2.510e-03, eta: 0:36:10, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1256, decode.loss_grad: 0.0000, loss: 0.1256, grad_norm: 0.0327 2024-01-03 21:57:01,623 - mmseg - INFO - Saving checkpoint at 19200 iterations 2024-01-03 21:57:01,675 - mmseg - INFO - Iter [19200/38400] lr: 2.500e-03, eta: 0:36:04, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1267, decode.loss_grad: 0.0000, loss: 0.1267, grad_norm: 0.0315 2024-01-03 21:57:10,858 - mmseg - INFO - Summary: 2024-01-03 21:57:10,860 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.7216 | 0.9416 | 0.9879 | 0.1774 | 0.5899 | 0.0746 | 0.2146 | 17.7696 | 0.1373 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 21:57:10,861 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/original/deit3_base_patch16_224.fb_in1k/best_abs_rel_iter_16000.pth was removed 2024-01-03 21:57:10,881 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_19200.pth. 2024-01-03 21:57:10,881 - mmseg - INFO - Best abs_rel is 0.1774 at 19200 iter. 2024-01-03 21:57:10,882 - mmseg - INFO - Iter(val) [82] a1: 0.7216, a2: 0.9416, a3: 0.9879, abs_rel: 0.17740337550640106, rmse: 0.5898511409759521, log_10: 0.07460083812475204, rmse_log: 0.21457131206989288, silog: 17.7696, sq_rel: 0.13728314638137817 2024-01-03 21:57:16,195 - mmseg - INFO - Iter [19250/38400] lr: 2.490e-03, eta: 0:36:07, time: 0.290, data_time: 0.187, memory: 745, decode.loss_depth: 0.1237, decode.loss_grad: 0.0000, loss: 0.1237, grad_norm: 0.0318 2024-01-03 21:57:21,582 - mmseg - INFO - Iter [19300/38400] lr: 2.480e-03, eta: 0:36:02, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1265, decode.loss_grad: 0.0000, loss: 0.1265, grad_norm: 0.0320 2024-01-03 21:57:26,965 - mmseg - INFO - Iter [19350/38400] lr: 2.470e-03, eta: 0:35:56, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1260, decode.loss_grad: 0.0000, loss: 0.1260, grad_norm: 0.0312 2024-01-03 21:57:32,352 - mmseg - INFO - Iter [19400/38400] lr: 2.459e-03, eta: 0:35:50, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1243, decode.loss_grad: 0.0000, loss: 0.1243, grad_norm: 0.0303 2024-01-03 21:57:37,702 - mmseg - INFO - Iter [19450/38400] lr: 2.449e-03, eta: 0:35:44, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1271, decode.loss_grad: 0.0000, loss: 0.1271, grad_norm: 0.0308 2024-01-03 21:57:43,074 - mmseg - INFO - Iter [19500/38400] lr: 2.439e-03, eta: 0:35:38, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1264, decode.loss_grad: 0.0000, loss: 0.1264, grad_norm: 0.0321 2024-01-03 21:57:48,431 - mmseg - INFO - Iter [19550/38400] lr: 2.429e-03, eta: 0:35:32, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1252, decode.loss_grad: 0.0000, loss: 0.1252, grad_norm: 0.0303 2024-01-03 21:57:53,783 - mmseg - INFO - Iter [19600/38400] lr: 2.418e-03, eta: 0:35:26, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1248, decode.loss_grad: 0.0000, loss: 0.1248, grad_norm: 0.0318 2024-01-03 21:57:59,134 - mmseg - INFO - Iter [19650/38400] lr: 2.408e-03, eta: 0:35:20, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1260, decode.loss_grad: 0.0000, loss: 0.1260, grad_norm: 0.0310 2024-01-03 21:58:06,735 - mmseg - INFO - Iter [19700/38400] lr: 2.398e-03, eta: 0:35:16, time: 0.152, data_time: 0.047, memory: 745, decode.loss_depth: 0.1244, decode.loss_grad: 0.0000, loss: 0.1244, grad_norm: 0.0316 2024-01-03 21:58:12,057 - mmseg - INFO - Iter [19750/38400] lr: 2.388e-03, eta: 0:35:10, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1243, decode.loss_grad: 0.0000, loss: 0.1243, grad_norm: 0.0304 2024-01-03 21:58:17,440 - mmseg - INFO - Iter [19800/38400] lr: 2.378e-03, eta: 0:35:04, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1255, decode.loss_grad: 0.0000, loss: 0.1255, grad_norm: 0.0318 2024-01-03 21:58:22,837 - mmseg - INFO - Iter [19850/38400] lr: 2.367e-03, eta: 0:34:58, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1226, decode.loss_grad: 0.0000, loss: 0.1226, grad_norm: 0.0304 2024-01-03 21:58:28,263 - mmseg - INFO - Iter [19900/38400] lr: 2.357e-03, eta: 0:34:52, time: 0.109, data_time: 0.003, memory: 745, decode.loss_depth: 0.1269, decode.loss_grad: 0.0000, loss: 0.1269, grad_norm: 0.0300 2024-01-03 21:58:33,666 - mmseg - INFO - Iter [19950/38400] lr: 2.347e-03, eta: 0:34:47, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1237, decode.loss_grad: 0.0000, loss: 0.1237, grad_norm: 0.0305 2024-01-03 21:58:39,003 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 21:58:39,003 - mmseg - INFO - Iter [20000/38400] lr: 2.337e-03, eta: 0:34:41, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1259, decode.loss_grad: 0.0000, loss: 0.1259, grad_norm: 0.0318 2024-01-03 21:58:44,408 - mmseg - INFO - Iter [20050/38400] lr: 2.326e-03, eta: 0:34:35, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1224, decode.loss_grad: 0.0000, loss: 0.1224, grad_norm: 0.0319 2024-01-03 21:58:49,787 - mmseg - INFO - Iter [20100/38400] lr: 2.316e-03, eta: 0:34:29, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1232, decode.loss_grad: 0.0000, loss: 0.1232, grad_norm: 0.0307 2024-01-03 21:58:55,140 - mmseg - INFO - Iter [20150/38400] lr: 2.306e-03, eta: 0:34:23, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1237, decode.loss_grad: 0.0000, loss: 0.1237, grad_norm: 0.0304 2024-01-03 21:59:00,540 - mmseg - INFO - Iter [20200/38400] lr: 2.296e-03, eta: 0:34:17, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1243, decode.loss_grad: 0.0000, loss: 0.1243, grad_norm: 0.0310 2024-01-03 21:59:05,839 - mmseg - INFO - Iter [20250/38400] lr: 2.286e-03, eta: 0:34:11, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1216, decode.loss_grad: 0.0000, loss: 0.1216, grad_norm: 0.0299 2024-01-03 21:59:11,247 - mmseg - INFO - Iter [20300/38400] lr: 2.276e-03, eta: 0:34:05, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1239, decode.loss_grad: 0.0000, loss: 0.1239, grad_norm: 0.0302 2024-01-03 21:59:16,647 - mmseg - INFO - Iter [20350/38400] lr: 2.265e-03, eta: 0:33:59, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1226, decode.loss_grad: 0.0000, loss: 0.1226, grad_norm: 0.0306 2024-01-03 21:59:22,020 - mmseg - INFO - Iter [20400/38400] lr: 2.255e-03, eta: 0:33:53, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1249, decode.loss_grad: 0.0000, loss: 0.1249, grad_norm: 0.0293 2024-01-03 21:59:27,352 - mmseg - INFO - Iter [20450/38400] lr: 2.245e-03, eta: 0:33:47, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1268, decode.loss_grad: 0.0000, loss: 0.1268, grad_norm: 0.0303 2024-01-03 21:59:32,709 - mmseg - INFO - Iter [20500/38400] lr: 2.235e-03, eta: 0:33:42, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1240, decode.loss_grad: 0.0000, loss: 0.1240, grad_norm: 0.0308 2024-01-03 21:59:38,060 - mmseg - INFO - Iter [20550/38400] lr: 2.225e-03, eta: 0:33:36, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1251, decode.loss_grad: 0.0000, loss: 0.1251, grad_norm: 0.0313 2024-01-03 21:59:43,391 - mmseg - INFO - Iter [20600/38400] lr: 2.214e-03, eta: 0:33:30, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1252, decode.loss_grad: 0.0000, loss: 0.1252, grad_norm: 0.0313 2024-01-03 21:59:48,716 - mmseg - INFO - Iter [20650/38400] lr: 2.204e-03, eta: 0:33:24, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1229, decode.loss_grad: 0.0000, loss: 0.1229, grad_norm: 0.0309 2024-01-03 21:59:54,068 - mmseg - INFO - Iter [20700/38400] lr: 2.194e-03, eta: 0:33:18, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1218, decode.loss_grad: 0.0000, loss: 0.1218, grad_norm: 0.0310 2024-01-03 21:59:59,405 - mmseg - INFO - Iter [20750/38400] lr: 2.184e-03, eta: 0:33:12, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1230, decode.loss_grad: 0.0000, loss: 0.1230, grad_norm: 0.0301 2024-01-03 22:00:04,757 - mmseg - INFO - Saving checkpoint at 20800 iterations 2024-01-03 22:00:04,780 - mmseg - INFO - Iter [20800/38400] lr: 2.174e-03, eta: 0:33:06, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1244, decode.loss_grad: 0.0000, loss: 0.1244, grad_norm: 0.0312 2024-01-03 22:00:10,162 - mmseg - INFO - Iter [20850/38400] lr: 2.164e-03, eta: 0:33:00, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1226, decode.loss_grad: 0.0000, loss: 0.1226, grad_norm: 0.0302 2024-01-03 22:00:15,549 - mmseg - INFO - Iter [20900/38400] lr: 2.154e-03, eta: 0:32:54, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1208, decode.loss_grad: 0.0000, loss: 0.1208, grad_norm: 0.0300 2024-01-03 22:00:20,950 - mmseg - INFO - Iter [20950/38400] lr: 2.143e-03, eta: 0:32:49, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1234, decode.loss_grad: 0.0000, loss: 0.1234, grad_norm: 0.0302 2024-01-03 22:00:26,289 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:00:26,289 - mmseg - INFO - Iter [21000/38400] lr: 2.133e-03, eta: 0:32:43, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1227, decode.loss_grad: 0.0000, loss: 0.1227, grad_norm: 0.0314 2024-01-03 22:00:31,675 - mmseg - INFO - Iter [21050/38400] lr: 2.123e-03, eta: 0:32:37, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1229, decode.loss_grad: 0.0000, loss: 0.1229, grad_norm: 0.0304 2024-01-03 22:00:37,086 - mmseg - INFO - Iter [21100/38400] lr: 2.113e-03, eta: 0:32:31, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1253, decode.loss_grad: 0.0000, loss: 0.1253, grad_norm: 0.0307 2024-01-03 22:00:42,454 - mmseg - INFO - Iter [21150/38400] lr: 2.103e-03, eta: 0:32:25, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1234, decode.loss_grad: 0.0000, loss: 0.1234, grad_norm: 0.0334 2024-01-03 22:00:49,989 - mmseg - INFO - Iter [21200/38400] lr: 2.093e-03, eta: 0:32:21, time: 0.151, data_time: 0.047, memory: 745, decode.loss_depth: 0.1238, decode.loss_grad: 0.0000, loss: 0.1238, grad_norm: 0.0311 2024-01-03 22:00:55,355 - mmseg - INFO - Iter [21250/38400] lr: 2.083e-03, eta: 0:32:15, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1215, decode.loss_grad: 0.0000, loss: 0.1215, grad_norm: 0.0305 2024-01-03 22:01:00,732 - mmseg - INFO - Iter [21300/38400] lr: 2.073e-03, eta: 0:32:09, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1242, decode.loss_grad: 0.0000, loss: 0.1242, grad_norm: 0.0307 2024-01-03 22:01:06,094 - mmseg - INFO - Iter [21350/38400] lr: 2.063e-03, eta: 0:32:03, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1232, decode.loss_grad: 0.0000, loss: 0.1232, grad_norm: 0.0307 2024-01-03 22:01:12,272 - mmseg - INFO - Iter [21400/38400] lr: 2.053e-03, eta: 0:31:58, time: 0.124, data_time: 0.003, memory: 745, decode.loss_depth: 0.1219, decode.loss_grad: 0.0000, loss: 0.1219, grad_norm: 0.0305 2024-01-03 22:01:17,651 - mmseg - INFO - Iter [21450/38400] lr: 2.043e-03, eta: 0:31:52, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1236, decode.loss_grad: 0.0000, loss: 0.1236, grad_norm: 0.0313 2024-01-03 22:01:23,003 - mmseg - INFO - Iter [21500/38400] lr: 2.033e-03, eta: 0:31:47, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1223, decode.loss_grad: 0.0000, loss: 0.1223, grad_norm: 0.0294 2024-01-03 22:01:28,340 - mmseg - INFO - Iter [21550/38400] lr: 2.023e-03, eta: 0:31:41, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1223, decode.loss_grad: 0.0000, loss: 0.1223, grad_norm: 0.0319 2024-01-03 22:01:33,712 - mmseg - INFO - Iter [21600/38400] lr: 2.012e-03, eta: 0:31:35, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1215, decode.loss_grad: 0.0000, loss: 0.1215, grad_norm: 0.0314 2024-01-03 22:01:39,078 - mmseg - INFO - Iter [21650/38400] lr: 2.002e-03, eta: 0:31:29, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1233, decode.loss_grad: 0.0000, loss: 0.1233, grad_norm: 0.0300 2024-01-03 22:01:44,464 - mmseg - INFO - Iter [21700/38400] lr: 1.992e-03, eta: 0:31:23, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1218, decode.loss_grad: 0.0000, loss: 0.1218, grad_norm: 0.0308 2024-01-03 22:01:49,833 - mmseg - INFO - Iter [21750/38400] lr: 1.982e-03, eta: 0:31:17, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1198, decode.loss_grad: 0.0000, loss: 0.1198, grad_norm: 0.0298 2024-01-03 22:01:55,213 - mmseg - INFO - Iter [21800/38400] lr: 1.972e-03, eta: 0:31:11, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1196, decode.loss_grad: 0.0000, loss: 0.1196, grad_norm: 0.0303 2024-01-03 22:02:00,607 - mmseg - INFO - Iter [21850/38400] lr: 1.962e-03, eta: 0:31:06, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1191, decode.loss_grad: 0.0000, loss: 0.1191, grad_norm: 0.0317 2024-01-03 22:02:05,956 - mmseg - INFO - Iter [21900/38400] lr: 1.952e-03, eta: 0:31:00, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1253, decode.loss_grad: 0.0000, loss: 0.1253, grad_norm: 0.0315 2024-01-03 22:02:11,265 - mmseg - INFO - Iter [21950/38400] lr: 1.942e-03, eta: 0:30:54, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1234, decode.loss_grad: 0.0000, loss: 0.1234, grad_norm: 0.0319 2024-01-03 22:02:16,657 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:02:16,658 - mmseg - INFO - Iter [22000/38400] lr: 1.933e-03, eta: 0:30:48, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1211, decode.loss_grad: 0.0000, loss: 0.1211, grad_norm: 0.0294 2024-01-03 22:02:21,972 - mmseg - INFO - Iter [22050/38400] lr: 1.923e-03, eta: 0:30:42, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1208, decode.loss_grad: 0.0000, loss: 0.1208, grad_norm: 0.0307 2024-01-03 22:02:27,382 - mmseg - INFO - Iter [22100/38400] lr: 1.913e-03, eta: 0:30:36, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1228, decode.loss_grad: 0.0000, loss: 0.1228, grad_norm: 0.0302 2024-01-03 22:02:32,707 - mmseg - INFO - Iter [22150/38400] lr: 1.903e-03, eta: 0:30:30, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1217, decode.loss_grad: 0.0000, loss: 0.1217, grad_norm: 0.0306 2024-01-03 22:02:38,035 - mmseg - INFO - Iter [22200/38400] lr: 1.893e-03, eta: 0:30:25, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1225, decode.loss_grad: 0.0000, loss: 0.1225, grad_norm: 0.0300 2024-01-03 22:02:43,401 - mmseg - INFO - Iter [22250/38400] lr: 1.883e-03, eta: 0:30:19, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1217, decode.loss_grad: 0.0000, loss: 0.1217, grad_norm: 0.0302 2024-01-03 22:02:48,751 - mmseg - INFO - Iter [22300/38400] lr: 1.873e-03, eta: 0:30:13, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1231, decode.loss_grad: 0.0000, loss: 0.1231, grad_norm: 0.0304 2024-01-03 22:02:54,111 - mmseg - INFO - Iter [22350/38400] lr: 1.863e-03, eta: 0:30:07, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1234, decode.loss_grad: 0.0000, loss: 0.1234, grad_norm: 0.0302 2024-01-03 22:02:59,502 - mmseg - INFO - Saving checkpoint at 22400 iterations 2024-01-03 22:02:59,534 - mmseg - INFO - Iter [22400/38400] lr: 1.853e-03, eta: 0:30:01, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1232, decode.loss_grad: 0.0000, loss: 0.1232, grad_norm: 0.0299 2024-01-03 22:03:08,772 - mmseg - INFO - Summary: 2024-01-03 22:03:08,773 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+--------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+--------+--------+ | 0.7196 | 0.9413 | 0.9877 | 0.1822 | 0.5944 | 0.075 | 0.2157 | 17.807 | 0.1442 | +--------+--------+--------+---------+--------+--------+----------+--------+--------+ 2024-01-03 22:03:08,774 - mmseg - INFO - Iter(val) [82] a1: 0.7196, a2: 0.9413, a3: 0.9877, abs_rel: 0.1822120100259781, rmse: 0.5943590402603149, log_10: 0.07499562948942184, rmse_log: 0.21565204858779907, silog: 17.8070, sq_rel: 0.14418484270572662 2024-01-03 22:03:14,156 - mmseg - INFO - Iter [22450/38400] lr: 1.843e-03, eta: 0:30:02, time: 0.292, data_time: 0.188, memory: 745, decode.loss_depth: 0.1216, decode.loss_grad: 0.0000, loss: 0.1216, grad_norm: 0.0300 2024-01-03 22:03:19,506 - mmseg - INFO - Iter [22500/38400] lr: 1.833e-03, eta: 0:29:56, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1221, decode.loss_grad: 0.0000, loss: 0.1221, grad_norm: 0.0302 2024-01-03 22:03:24,867 - mmseg - INFO - Iter [22550/38400] lr: 1.824e-03, eta: 0:29:50, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1217, decode.loss_grad: 0.0000, loss: 0.1217, grad_norm: 0.0309 2024-01-03 22:03:30,283 - mmseg - INFO - Iter [22600/38400] lr: 1.814e-03, eta: 0:29:45, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1207, decode.loss_grad: 0.0000, loss: 0.1207, grad_norm: 0.0296 2024-01-03 22:03:35,702 - mmseg - INFO - Iter [22650/38400] lr: 1.804e-03, eta: 0:29:39, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1214, decode.loss_grad: 0.0000, loss: 0.1214, grad_norm: 0.0300 2024-01-03 22:03:41,098 - mmseg - INFO - Iter [22700/38400] lr: 1.794e-03, eta: 0:29:33, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1227, decode.loss_grad: 0.0000, loss: 0.1227, grad_norm: 0.0307 2024-01-03 22:03:48,704 - mmseg - INFO - Iter [22750/38400] lr: 1.784e-03, eta: 0:29:29, time: 0.152, data_time: 0.045, memory: 745, decode.loss_depth: 0.1182, decode.loss_grad: 0.0000, loss: 0.1182, grad_norm: 0.0306 2024-01-03 22:03:54,098 - mmseg - INFO - Iter [22800/38400] lr: 1.774e-03, eta: 0:29:23, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1221, decode.loss_grad: 0.0000, loss: 0.1221, grad_norm: 0.0310 2024-01-03 22:03:59,466 - mmseg - INFO - Iter [22850/38400] lr: 1.765e-03, eta: 0:29:17, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1196, decode.loss_grad: 0.0000, loss: 0.1196, grad_norm: 0.0293 2024-01-03 22:04:04,819 - mmseg - INFO - Iter [22900/38400] lr: 1.755e-03, eta: 0:29:11, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1186, decode.loss_grad: 0.0000, loss: 0.1186, grad_norm: 0.0285 2024-01-03 22:04:10,219 - mmseg - INFO - Iter [22950/38400] lr: 1.745e-03, eta: 0:29:05, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1198, decode.loss_grad: 0.0000, loss: 0.1198, grad_norm: 0.0304 2024-01-03 22:04:15,578 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:04:15,580 - mmseg - INFO - Iter [23000/38400] lr: 1.735e-03, eta: 0:28:59, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1219, decode.loss_grad: 0.0000, loss: 0.1219, grad_norm: 0.0305 2024-01-03 22:04:20,991 - mmseg - INFO - Iter [23050/38400] lr: 1.726e-03, eta: 0:28:54, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1229, decode.loss_grad: 0.0000, loss: 0.1229, grad_norm: 0.0303 2024-01-03 22:04:26,319 - mmseg - INFO - Iter [23100/38400] lr: 1.716e-03, eta: 0:28:48, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1218, decode.loss_grad: 0.0000, loss: 0.1218, grad_norm: 0.0296 2024-01-03 22:04:31,685 - mmseg - INFO - Iter [23150/38400] lr: 1.706e-03, eta: 0:28:42, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1195, decode.loss_grad: 0.0000, loss: 0.1195, grad_norm: 0.0301 2024-01-03 22:04:37,046 - mmseg - INFO - Iter [23200/38400] lr: 1.697e-03, eta: 0:28:36, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1198, decode.loss_grad: 0.0000, loss: 0.1198, grad_norm: 0.0290 2024-01-03 22:04:43,220 - mmseg - INFO - Iter [23250/38400] lr: 1.687e-03, eta: 0:28:31, time: 0.123, data_time: 0.004, memory: 745, decode.loss_depth: 0.1219, decode.loss_grad: 0.0000, loss: 0.1219, grad_norm: 0.0299 2024-01-03 22:04:48,643 - mmseg - INFO - Iter [23300/38400] lr: 1.677e-03, eta: 0:28:25, time: 0.109, data_time: 0.003, memory: 745, decode.loss_depth: 0.1210, decode.loss_grad: 0.0000, loss: 0.1210, grad_norm: 0.0296 2024-01-03 22:04:54,012 - mmseg - INFO - Iter [23350/38400] lr: 1.668e-03, eta: 0:28:19, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1202, decode.loss_grad: 0.0000, loss: 0.1202, grad_norm: 0.0297 2024-01-03 22:04:59,337 - mmseg - INFO - Iter [23400/38400] lr: 1.658e-03, eta: 0:28:13, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1181, decode.loss_grad: 0.0000, loss: 0.1181, grad_norm: 0.0304 2024-01-03 22:05:04,722 - mmseg - INFO - Iter [23450/38400] lr: 1.648e-03, eta: 0:28:08, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1197, decode.loss_grad: 0.0000, loss: 0.1197, grad_norm: 0.0307 2024-01-03 22:05:10,056 - mmseg - INFO - Iter [23500/38400] lr: 1.639e-03, eta: 0:28:02, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1212, decode.loss_grad: 0.0000, loss: 0.1212, grad_norm: 0.0304 2024-01-03 22:05:15,437 - mmseg - INFO - Iter [23550/38400] lr: 1.629e-03, eta: 0:27:56, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1175, decode.loss_grad: 0.0000, loss: 0.1175, grad_norm: 0.0299 2024-01-03 22:05:20,837 - mmseg - INFO - Iter [23600/38400] lr: 1.620e-03, eta: 0:27:50, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1188, decode.loss_grad: 0.0000, loss: 0.1188, grad_norm: 0.0295 2024-01-03 22:05:26,196 - mmseg - INFO - Iter [23650/38400] lr: 1.610e-03, eta: 0:27:44, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1204, decode.loss_grad: 0.0000, loss: 0.1204, grad_norm: 0.0294 2024-01-03 22:05:31,567 - mmseg - INFO - Iter [23700/38400] lr: 1.600e-03, eta: 0:27:38, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1206, decode.loss_grad: 0.0000, loss: 0.1206, grad_norm: 0.0297 2024-01-03 22:05:36,927 - mmseg - INFO - Iter [23750/38400] lr: 1.591e-03, eta: 0:27:33, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1229, decode.loss_grad: 0.0000, loss: 0.1229, grad_norm: 0.0323 2024-01-03 22:05:42,311 - mmseg - INFO - Iter [23800/38400] lr: 1.581e-03, eta: 0:27:27, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1187, decode.loss_grad: 0.0000, loss: 0.1187, grad_norm: 0.0303 2024-01-03 22:05:47,648 - mmseg - INFO - Iter [23850/38400] lr: 1.572e-03, eta: 0:27:21, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1187, decode.loss_grad: 0.0000, loss: 0.1187, grad_norm: 0.0299 2024-01-03 22:05:53,020 - mmseg - INFO - Iter [23900/38400] lr: 1.562e-03, eta: 0:27:15, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1205, decode.loss_grad: 0.0000, loss: 0.1205, grad_norm: 0.0295 2024-01-03 22:05:58,394 - mmseg - INFO - Iter [23950/38400] lr: 1.553e-03, eta: 0:27:09, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1194, decode.loss_grad: 0.0000, loss: 0.1194, grad_norm: 0.0296 2024-01-03 22:06:03,795 - mmseg - INFO - Saving checkpoint at 24000 iterations 2024-01-03 22:06:03,829 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:06:03,829 - mmseg - INFO - Iter [24000/38400] lr: 1.543e-03, eta: 0:27:04, time: 0.109, data_time: 0.003, memory: 745, decode.loss_depth: 0.1213, decode.loss_grad: 0.0000, loss: 0.1213, grad_norm: 0.0306 2024-01-03 22:06:09,184 - mmseg - INFO - Iter [24050/38400] lr: 1.534e-03, eta: 0:26:58, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1198, decode.loss_grad: 0.0000, loss: 0.1198, grad_norm: 0.0312 2024-01-03 22:06:14,598 - mmseg - INFO - Iter [24100/38400] lr: 1.525e-03, eta: 0:26:52, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1212, decode.loss_grad: 0.0000, loss: 0.1212, grad_norm: 0.0298 2024-01-03 22:06:19,957 - mmseg - INFO - Iter [24150/38400] lr: 1.515e-03, eta: 0:26:46, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1212, decode.loss_grad: 0.0000, loss: 0.1212, grad_norm: 0.0303 2024-01-03 22:06:25,319 - mmseg - INFO - Iter [24200/38400] lr: 1.506e-03, eta: 0:26:40, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1202, decode.loss_grad: 0.0000, loss: 0.1202, grad_norm: 0.0307 2024-01-03 22:06:32,819 - mmseg - INFO - Iter [24250/38400] lr: 1.496e-03, eta: 0:26:36, time: 0.150, data_time: 0.047, memory: 745, decode.loss_depth: 0.1194, decode.loss_grad: 0.0000, loss: 0.1194, grad_norm: 0.0304 2024-01-03 22:06:38,124 - mmseg - INFO - Iter [24300/38400] lr: 1.487e-03, eta: 0:26:30, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1192, decode.loss_grad: 0.0000, loss: 0.1192, grad_norm: 0.0303 2024-01-03 22:06:43,491 - mmseg - INFO - Iter [24350/38400] lr: 1.478e-03, eta: 0:26:24, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1190, decode.loss_grad: 0.0000, loss: 0.1190, grad_norm: 0.0283 2024-01-03 22:06:48,864 - mmseg - INFO - Iter [24400/38400] lr: 1.468e-03, eta: 0:26:18, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1187, decode.loss_grad: 0.0000, loss: 0.1187, grad_norm: 0.0303 2024-01-03 22:06:54,258 - mmseg - INFO - Iter [24450/38400] lr: 1.459e-03, eta: 0:26:13, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1200, decode.loss_grad: 0.0000, loss: 0.1200, grad_norm: 0.0289 2024-01-03 22:06:59,662 - mmseg - INFO - Iter [24500/38400] lr: 1.450e-03, eta: 0:26:07, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1202, decode.loss_grad: 0.0000, loss: 0.1202, grad_norm: 0.0297 2024-01-03 22:07:04,976 - mmseg - INFO - Iter [24550/38400] lr: 1.441e-03, eta: 0:26:01, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1199, decode.loss_grad: 0.0000, loss: 0.1199, grad_norm: 0.0312 2024-01-03 22:07:10,359 - mmseg - INFO - Iter [24600/38400] lr: 1.431e-03, eta: 0:25:55, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1191, decode.loss_grad: 0.0000, loss: 0.1191, grad_norm: 0.0296 2024-01-03 22:07:15,698 - mmseg - INFO - Iter [24650/38400] lr: 1.422e-03, eta: 0:25:50, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1190, decode.loss_grad: 0.0000, loss: 0.1190, grad_norm: 0.0292 2024-01-03 22:07:21,117 - mmseg - INFO - Iter [24700/38400] lr: 1.413e-03, eta: 0:25:44, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1173, decode.loss_grad: 0.0000, loss: 0.1173, grad_norm: 0.0293 2024-01-03 22:07:26,423 - mmseg - INFO - Iter [24750/38400] lr: 1.404e-03, eta: 0:25:38, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1219, decode.loss_grad: 0.0000, loss: 0.1219, grad_norm: 0.0305 2024-01-03 22:07:31,780 - mmseg - INFO - Iter [24800/38400] lr: 1.394e-03, eta: 0:25:32, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1176, decode.loss_grad: 0.0000, loss: 0.1176, grad_norm: 0.0289 2024-01-03 22:07:37,135 - mmseg - INFO - Iter [24850/38400] lr: 1.385e-03, eta: 0:25:26, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1225, decode.loss_grad: 0.0000, loss: 0.1225, grad_norm: 0.0310 2024-01-03 22:07:42,502 - mmseg - INFO - Iter [24900/38400] lr: 1.376e-03, eta: 0:25:21, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1191, decode.loss_grad: 0.0000, loss: 0.1191, grad_norm: 0.0295 2024-01-03 22:07:47,849 - mmseg - INFO - Iter [24950/38400] lr: 1.367e-03, eta: 0:25:15, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1191, decode.loss_grad: 0.0000, loss: 0.1191, grad_norm: 0.0302 2024-01-03 22:07:53,902 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:07:53,902 - mmseg - INFO - Iter [25000/38400] lr: 1.358e-03, eta: 0:25:09, time: 0.121, data_time: 0.003, memory: 745, decode.loss_depth: 0.1195, decode.loss_grad: 0.0000, loss: 0.1195, grad_norm: 0.0292 2024-01-03 22:07:59,321 - mmseg - INFO - Iter [25050/38400] lr: 1.349e-03, eta: 0:25:04, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1158, decode.loss_grad: 0.0000, loss: 0.1158, grad_norm: 0.0290 2024-01-03 22:08:04,672 - mmseg - INFO - Iter [25100/38400] lr: 1.340e-03, eta: 0:24:58, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1166, decode.loss_grad: 0.0000, loss: 0.1166, grad_norm: 0.0296 2024-01-03 22:08:10,061 - mmseg - INFO - Iter [25150/38400] lr: 1.331e-03, eta: 0:24:52, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1188, decode.loss_grad: 0.0000, loss: 0.1188, grad_norm: 0.0297 2024-01-03 22:08:15,398 - mmseg - INFO - Iter [25200/38400] lr: 1.322e-03, eta: 0:24:46, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1189, decode.loss_grad: 0.0000, loss: 0.1189, grad_norm: 0.0301 2024-01-03 22:08:20,831 - mmseg - INFO - Iter [25250/38400] lr: 1.313e-03, eta: 0:24:41, time: 0.109, data_time: 0.003, memory: 745, decode.loss_depth: 0.1161, decode.loss_grad: 0.0000, loss: 0.1161, grad_norm: 0.0287 2024-01-03 22:08:26,247 - mmseg - INFO - Iter [25300/38400] lr: 1.304e-03, eta: 0:24:35, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1186, decode.loss_grad: 0.0000, loss: 0.1186, grad_norm: 0.0307 2024-01-03 22:08:31,522 - mmseg - INFO - Iter [25350/38400] lr: 1.295e-03, eta: 0:24:29, time: 0.105, data_time: 0.003, memory: 745, decode.loss_depth: 0.1154, decode.loss_grad: 0.0000, loss: 0.1154, grad_norm: 0.0303 2024-01-03 22:08:36,932 - mmseg - INFO - Iter [25400/38400] lr: 1.286e-03, eta: 0:24:23, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1187, decode.loss_grad: 0.0000, loss: 0.1187, grad_norm: 0.0298 2024-01-03 22:08:42,351 - mmseg - INFO - Iter [25450/38400] lr: 1.277e-03, eta: 0:24:18, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1194, decode.loss_grad: 0.0000, loss: 0.1194, grad_norm: 0.0307 2024-01-03 22:08:47,701 - mmseg - INFO - Iter [25500/38400] lr: 1.268e-03, eta: 0:24:12, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1170, decode.loss_grad: 0.0000, loss: 0.1170, grad_norm: 0.0291 2024-01-03 22:08:53,727 - mmseg - INFO - Iter [25550/38400] lr: 1.259e-03, eta: 0:24:06, time: 0.121, data_time: 0.003, memory: 745, decode.loss_depth: 0.1183, decode.loss_grad: 0.0000, loss: 0.1183, grad_norm: 0.0296 2024-01-03 22:08:59,107 - mmseg - INFO - Saving checkpoint at 25600 iterations 2024-01-03 22:08:59,140 - mmseg - INFO - Iter [25600/38400] lr: 1.250e-03, eta: 0:24:01, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1191, decode.loss_grad: 0.0000, loss: 0.1191, grad_norm: 0.0295 2024-01-03 22:09:08,391 - mmseg - INFO - Summary: 2024-01-03 22:09:08,393 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.7221 | 0.9417 | 0.9875 | 0.1799 | 0.5899 | 0.0746 | 0.2146 | 17.7438 | 0.1407 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 22:09:08,393 - mmseg - INFO - Iter(val) [82] a1: 0.7221, a2: 0.9417, a3: 0.9875, abs_rel: 0.17989984154701233, rmse: 0.5899197459220886, log_10: 0.0746258869767189, rmse_log: 0.21463841199874878, silog: 17.7438, sq_rel: 0.14071442186832428 2024-01-03 22:09:13,763 - mmseg - INFO - Iter [25650/38400] lr: 1.241e-03, eta: 0:23:59, time: 0.292, data_time: 0.188, memory: 745, decode.loss_depth: 0.1186, decode.loss_grad: 0.0000, loss: 0.1186, grad_norm: 0.0291 2024-01-03 22:09:19,149 - mmseg - INFO - Iter [25700/38400] lr: 1.233e-03, eta: 0:23:54, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1205, decode.loss_grad: 0.0000, loss: 0.1205, grad_norm: 0.0312 2024-01-03 22:09:26,720 - mmseg - INFO - Iter [25750/38400] lr: 1.224e-03, eta: 0:23:49, time: 0.151, data_time: 0.047, memory: 745, decode.loss_depth: 0.1186, decode.loss_grad: 0.0000, loss: 0.1186, grad_norm: 0.0296 2024-01-03 22:09:32,060 - mmseg - INFO - Iter [25800/38400] lr: 1.215e-03, eta: 0:23:43, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1177, decode.loss_grad: 0.0000, loss: 0.1177, grad_norm: 0.0286 2024-01-03 22:09:37,434 - mmseg - INFO - Iter [25850/38400] lr: 1.206e-03, eta: 0:23:37, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1156, decode.loss_grad: 0.0000, loss: 0.1156, grad_norm: 0.0279 2024-01-03 22:09:42,839 - mmseg - INFO - Iter [25900/38400] lr: 1.197e-03, eta: 0:23:32, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1170, decode.loss_grad: 0.0000, loss: 0.1170, grad_norm: 0.0294 2024-01-03 22:09:48,202 - mmseg - INFO - Iter [25950/38400] lr: 1.189e-03, eta: 0:23:26, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1162, decode.loss_grad: 0.0000, loss: 0.1162, grad_norm: 0.0302 2024-01-03 22:09:53,599 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:09:53,600 - mmseg - INFO - Iter [26000/38400] lr: 1.180e-03, eta: 0:23:20, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1176, decode.loss_grad: 0.0000, loss: 0.1176, grad_norm: 0.0283 2024-01-03 22:09:58,938 - mmseg - INFO - Iter [26050/38400] lr: 1.171e-03, eta: 0:23:14, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1182, decode.loss_grad: 0.0000, loss: 0.1182, grad_norm: 0.0305 2024-01-03 22:10:04,276 - mmseg - INFO - Iter [26100/38400] lr: 1.163e-03, eta: 0:23:08, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1162, decode.loss_grad: 0.0000, loss: 0.1162, grad_norm: 0.0295 2024-01-03 22:10:09,682 - mmseg - INFO - Iter [26150/38400] lr: 1.154e-03, eta: 0:23:03, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1172, decode.loss_grad: 0.0000, loss: 0.1172, grad_norm: 0.0298 2024-01-03 22:10:15,755 - mmseg - INFO - Iter [26200/38400] lr: 1.145e-03, eta: 0:22:57, time: 0.121, data_time: 0.003, memory: 745, decode.loss_depth: 0.1178, decode.loss_grad: 0.0000, loss: 0.1178, grad_norm: 0.0296 2024-01-03 22:10:21,149 - mmseg - INFO - Iter [26250/38400] lr: 1.137e-03, eta: 0:22:52, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1186, decode.loss_grad: 0.0000, loss: 0.1186, grad_norm: 0.0294 2024-01-03 22:10:26,484 - mmseg - INFO - Iter [26300/38400] lr: 1.128e-03, eta: 0:22:46, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1173, decode.loss_grad: 0.0000, loss: 0.1173, grad_norm: 0.0298 2024-01-03 22:10:31,862 - mmseg - INFO - Iter [26350/38400] lr: 1.120e-03, eta: 0:22:40, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1152, decode.loss_grad: 0.0000, loss: 0.1152, grad_norm: 0.0288 2024-01-03 22:10:37,227 - mmseg - INFO - Iter [26400/38400] lr: 1.111e-03, eta: 0:22:34, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1175, decode.loss_grad: 0.0000, loss: 0.1175, grad_norm: 0.0299 2024-01-03 22:10:42,695 - mmseg - INFO - Iter [26450/38400] lr: 1.103e-03, eta: 0:22:28, time: 0.109, data_time: 0.003, memory: 745, decode.loss_depth: 0.1179, decode.loss_grad: 0.0000, loss: 0.1179, grad_norm: 0.0287 2024-01-03 22:10:48,107 - mmseg - INFO - Iter [26500/38400] lr: 1.094e-03, eta: 0:22:23, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1177, decode.loss_grad: 0.0000, loss: 0.1177, grad_norm: 0.0306 2024-01-03 22:10:53,440 - mmseg - INFO - Iter [26550/38400] lr: 1.086e-03, eta: 0:22:17, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1178, decode.loss_grad: 0.0000, loss: 0.1178, grad_norm: 0.0304 2024-01-03 22:10:58,771 - mmseg - INFO - Iter [26600/38400] lr: 1.077e-03, eta: 0:22:11, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1167, decode.loss_grad: 0.0000, loss: 0.1167, grad_norm: 0.0300 2024-01-03 22:11:04,120 - mmseg - INFO - Iter [26650/38400] lr: 1.069e-03, eta: 0:22:05, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1188, decode.loss_grad: 0.0000, loss: 0.1188, grad_norm: 0.0299 2024-01-03 22:11:09,452 - mmseg - INFO - Iter [26700/38400] lr: 1.061e-03, eta: 0:22:00, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1159, decode.loss_grad: 0.0000, loss: 0.1159, grad_norm: 0.0291 2024-01-03 22:11:14,896 - mmseg - INFO - Iter [26750/38400] lr: 1.052e-03, eta: 0:21:54, time: 0.109, data_time: 0.003, memory: 745, decode.loss_depth: 0.1190, decode.loss_grad: 0.0000, loss: 0.1190, grad_norm: 0.0312 2024-01-03 22:11:20,248 - mmseg - INFO - Iter [26800/38400] lr: 1.044e-03, eta: 0:21:48, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1179, decode.loss_grad: 0.0000, loss: 0.1179, grad_norm: 0.0305 2024-01-03 22:11:25,648 - mmseg - INFO - Iter [26850/38400] lr: 1.036e-03, eta: 0:21:42, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1191, decode.loss_grad: 0.0000, loss: 0.1191, grad_norm: 0.0296 2024-01-03 22:11:30,998 - mmseg - INFO - Iter [26900/38400] lr: 1.027e-03, eta: 0:21:37, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1150, decode.loss_grad: 0.0000, loss: 0.1150, grad_norm: 0.0296 2024-01-03 22:11:36,350 - mmseg - INFO - Iter [26950/38400] lr: 1.019e-03, eta: 0:21:31, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1182, decode.loss_grad: 0.0000, loss: 0.1182, grad_norm: 0.0298 2024-01-03 22:11:41,746 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:11:41,747 - mmseg - INFO - Iter [27000/38400] lr: 1.011e-03, eta: 0:21:25, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1180, decode.loss_grad: 0.0000, loss: 0.1180, grad_norm: 0.0304 2024-01-03 22:11:47,093 - mmseg - INFO - Iter [27050/38400] lr: 1.003e-03, eta: 0:21:19, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1164, decode.loss_grad: 0.0000, loss: 0.1164, grad_norm: 0.0293 2024-01-03 22:11:52,431 - mmseg - INFO - Iter [27100/38400] lr: 9.945e-04, eta: 0:21:14, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1191, decode.loss_grad: 0.0000, loss: 0.1191, grad_norm: 0.0304 2024-01-03 22:11:57,754 - mmseg - INFO - Iter [27150/38400] lr: 9.864e-04, eta: 0:21:08, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1176, decode.loss_grad: 0.0000, loss: 0.1176, grad_norm: 0.0307 2024-01-03 22:12:03,103 - mmseg - INFO - Saving checkpoint at 27200 iterations 2024-01-03 22:12:03,128 - mmseg - INFO - Iter [27200/38400] lr: 9.783e-04, eta: 0:21:02, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1175, decode.loss_grad: 0.0000, loss: 0.1175, grad_norm: 0.0290 2024-01-03 22:12:10,020 - mmseg - INFO - Iter [27250/38400] lr: 9.702e-04, eta: 0:20:57, time: 0.138, data_time: 0.003, memory: 745, decode.loss_depth: 0.1148, decode.loss_grad: 0.0000, loss: 0.1148, grad_norm: 0.0283 2024-01-03 22:12:17,598 - mmseg - INFO - Iter [27300/38400] lr: 9.621e-04, eta: 0:20:52, time: 0.152, data_time: 0.046, memory: 745, decode.loss_depth: 0.1180, decode.loss_grad: 0.0000, loss: 0.1180, grad_norm: 0.0303 2024-01-03 22:12:22,946 - mmseg - INFO - Iter [27350/38400] lr: 9.540e-04, eta: 0:20:46, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1151, decode.loss_grad: 0.0000, loss: 0.1151, grad_norm: 0.0297 2024-01-03 22:12:28,385 - mmseg - INFO - Iter [27400/38400] lr: 9.460e-04, eta: 0:20:41, time: 0.109, data_time: 0.003, memory: 745, decode.loss_depth: 0.1153, decode.loss_grad: 0.0000, loss: 0.1153, grad_norm: 0.0299 2024-01-03 22:12:33,755 - mmseg - INFO - Iter [27450/38400] lr: 9.380e-04, eta: 0:20:35, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1169, decode.loss_grad: 0.0000, loss: 0.1169, grad_norm: 0.0281 2024-01-03 22:12:39,077 - mmseg - INFO - Iter [27500/38400] lr: 9.300e-04, eta: 0:20:29, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1154, decode.loss_grad: 0.0000, loss: 0.1154, grad_norm: 0.0290 2024-01-03 22:12:44,515 - mmseg - INFO - Iter [27550/38400] lr: 9.221e-04, eta: 0:20:23, time: 0.109, data_time: 0.003, memory: 745, decode.loss_depth: 0.1172, decode.loss_grad: 0.0000, loss: 0.1172, grad_norm: 0.0301 2024-01-03 22:12:49,901 - mmseg - INFO - Iter [27600/38400] lr: 9.142e-04, eta: 0:20:18, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1166, decode.loss_grad: 0.0000, loss: 0.1166, grad_norm: 0.0292 2024-01-03 22:12:55,236 - mmseg - INFO - Iter [27650/38400] lr: 9.063e-04, eta: 0:20:12, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1150, decode.loss_grad: 0.0000, loss: 0.1150, grad_norm: 0.0273 2024-01-03 22:13:00,623 - mmseg - INFO - Iter [27700/38400] lr: 8.984e-04, eta: 0:20:06, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1130, decode.loss_grad: 0.0000, loss: 0.1130, grad_norm: 0.0294 2024-01-03 22:13:06,001 - mmseg - INFO - Iter [27750/38400] lr: 8.906e-04, eta: 0:20:00, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1141, decode.loss_grad: 0.0000, loss: 0.1141, grad_norm: 0.0290 2024-01-03 22:13:11,376 - mmseg - INFO - Iter [27800/38400] lr: 8.828e-04, eta: 0:19:55, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1160, decode.loss_grad: 0.0000, loss: 0.1160, grad_norm: 0.0295 2024-01-03 22:13:16,788 - mmseg - INFO - Iter [27850/38400] lr: 8.750e-04, eta: 0:19:49, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1166, decode.loss_grad: 0.0000, loss: 0.1166, grad_norm: 0.0293 2024-01-03 22:13:22,176 - mmseg - INFO - Iter [27900/38400] lr: 8.672e-04, eta: 0:19:43, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1164, decode.loss_grad: 0.0000, loss: 0.1164, grad_norm: 0.0300 2024-01-03 22:13:27,669 - mmseg - INFO - Iter [27950/38400] lr: 8.595e-04, eta: 0:19:37, time: 0.110, data_time: 0.003, memory: 745, decode.loss_depth: 0.1160, decode.loss_grad: 0.0000, loss: 0.1160, grad_norm: 0.0310 2024-01-03 22:13:33,731 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:13:33,732 - mmseg - INFO - Iter [28000/38400] lr: 8.518e-04, eta: 0:19:32, time: 0.121, data_time: 0.004, memory: 745, decode.loss_depth: 0.1159, decode.loss_grad: 0.0000, loss: 0.1159, grad_norm: 0.0294 2024-01-03 22:13:39,148 - mmseg - INFO - Iter [28050/38400] lr: 8.441e-04, eta: 0:19:26, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1180, decode.loss_grad: 0.0000, loss: 0.1180, grad_norm: 0.0297 2024-01-03 22:13:44,495 - mmseg - INFO - Iter [28100/38400] lr: 8.365e-04, eta: 0:19:21, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1167, decode.loss_grad: 0.0000, loss: 0.1167, grad_norm: 0.0292 2024-01-03 22:13:49,940 - mmseg - INFO - Iter [28150/38400] lr: 8.288e-04, eta: 0:19:15, time: 0.109, data_time: 0.003, memory: 745, decode.loss_depth: 0.1154, decode.loss_grad: 0.0000, loss: 0.1154, grad_norm: 0.0299 2024-01-03 22:13:55,352 - mmseg - INFO - Iter [28200/38400] lr: 8.213e-04, eta: 0:19:09, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1157, decode.loss_grad: 0.0000, loss: 0.1157, grad_norm: 0.0295 2024-01-03 22:14:00,717 - mmseg - INFO - Iter [28250/38400] lr: 8.137e-04, eta: 0:19:03, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1135, decode.loss_grad: 0.0000, loss: 0.1135, grad_norm: 0.0302 2024-01-03 22:14:06,082 - mmseg - INFO - Iter [28300/38400] lr: 8.062e-04, eta: 0:18:58, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1164, decode.loss_grad: 0.0000, loss: 0.1164, grad_norm: 0.0284 2024-01-03 22:14:11,518 - mmseg - INFO - Iter [28350/38400] lr: 7.986e-04, eta: 0:18:52, time: 0.109, data_time: 0.003, memory: 745, decode.loss_depth: 0.1162, decode.loss_grad: 0.0000, loss: 0.1162, grad_norm: 0.0298 2024-01-03 22:14:17,592 - mmseg - INFO - Iter [28400/38400] lr: 7.912e-04, eta: 0:18:46, time: 0.121, data_time: 0.003, memory: 745, decode.loss_depth: 0.1162, decode.loss_grad: 0.0000, loss: 0.1162, grad_norm: 0.0290 2024-01-03 22:14:22,968 - mmseg - INFO - Iter [28450/38400] lr: 7.837e-04, eta: 0:18:41, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1177, decode.loss_grad: 0.0000, loss: 0.1177, grad_norm: 0.0294 2024-01-03 22:14:28,366 - mmseg - INFO - Iter [28500/38400] lr: 7.763e-04, eta: 0:18:35, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1146, decode.loss_grad: 0.0000, loss: 0.1146, grad_norm: 0.0298 2024-01-03 22:14:33,716 - mmseg - INFO - Iter [28550/38400] lr: 7.689e-04, eta: 0:18:29, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1156, decode.loss_grad: 0.0000, loss: 0.1156, grad_norm: 0.0284 2024-01-03 22:14:39,067 - mmseg - INFO - Iter [28600/38400] lr: 7.615e-04, eta: 0:18:24, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1181, decode.loss_grad: 0.0000, loss: 0.1181, grad_norm: 0.0292 2024-01-03 22:14:44,452 - mmseg - INFO - Iter [28650/38400] lr: 7.542e-04, eta: 0:18:18, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1173, decode.loss_grad: 0.0000, loss: 0.1173, grad_norm: 0.0301 2024-01-03 22:14:49,767 - mmseg - INFO - Iter [28700/38400] lr: 7.469e-04, eta: 0:18:12, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1178, decode.loss_grad: 0.0000, loss: 0.1178, grad_norm: 0.0289 2024-01-03 22:14:55,140 - mmseg - INFO - Iter [28750/38400] lr: 7.396e-04, eta: 0:18:06, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1168, decode.loss_grad: 0.0000, loss: 0.1168, grad_norm: 0.0294 2024-01-03 22:15:02,640 - mmseg - INFO - Saving checkpoint at 28800 iterations 2024-01-03 22:15:02,672 - mmseg - INFO - Iter [28800/38400] lr: 7.324e-04, eta: 0:18:01, time: 0.151, data_time: 0.047, memory: 745, decode.loss_depth: 0.1156, decode.loss_grad: 0.0000, loss: 0.1156, grad_norm: 0.0293 2024-01-03 22:15:11,888 - mmseg - INFO - Summary: 2024-01-03 22:15:11,889 - mmseg - INFO - +--------+--------+-------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+-------+---------+--------+--------+----------+---------+--------+ | 0.7209 | 0.9406 | 0.988 | 0.1784 | 0.5901 | 0.0748 | 0.2148 | 17.7874 | 0.1388 | +--------+--------+-------+---------+--------+--------+----------+---------+--------+ 2024-01-03 22:15:11,889 - mmseg - INFO - Iter(val) [82] a1: 0.7209, a2: 0.9406, a3: 0.9880, abs_rel: 0.178380087018013, rmse: 0.5900946855545044, log_10: 0.07483169436454773, rmse_log: 0.2148348093032837, silog: 17.7874, sq_rel: 0.13880261778831482 2024-01-03 22:15:17,259 - mmseg - INFO - Iter [28850/38400] lr: 7.252e-04, eta: 0:17:59, time: 0.292, data_time: 0.187, memory: 745, decode.loss_depth: 0.1160, decode.loss_grad: 0.0000, loss: 0.1160, grad_norm: 0.0289 2024-01-03 22:15:22,672 - mmseg - INFO - Iter [28900/38400] lr: 7.180e-04, eta: 0:17:53, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1158, decode.loss_grad: 0.0000, loss: 0.1158, grad_norm: 0.0295 2024-01-03 22:15:28,066 - mmseg - INFO - Iter [28950/38400] lr: 7.108e-04, eta: 0:17:47, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1177, decode.loss_grad: 0.0000, loss: 0.1177, grad_norm: 0.0301 2024-01-03 22:15:33,481 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:15:33,482 - mmseg - INFO - Iter [29000/38400] lr: 7.037e-04, eta: 0:17:42, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1154, decode.loss_grad: 0.0000, loss: 0.1154, grad_norm: 0.0291 2024-01-03 22:15:38,849 - mmseg - INFO - Iter [29050/38400] lr: 6.966e-04, eta: 0:17:36, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1161, decode.loss_grad: 0.0000, loss: 0.1161, grad_norm: 0.0291 2024-01-03 22:15:44,249 - mmseg - INFO - Iter [29100/38400] lr: 6.895e-04, eta: 0:17:30, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1127, decode.loss_grad: 0.0000, loss: 0.1127, grad_norm: 0.0285 2024-01-03 22:15:49,626 - mmseg - INFO - Iter [29150/38400] lr: 6.825e-04, eta: 0:17:24, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1178, decode.loss_grad: 0.0000, loss: 0.1178, grad_norm: 0.0295 2024-01-03 22:15:54,942 - mmseg - INFO - Iter [29200/38400] lr: 6.755e-04, eta: 0:17:19, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1147, decode.loss_grad: 0.0000, loss: 0.1147, grad_norm: 0.0296 2024-01-03 22:16:00,376 - mmseg - INFO - Iter [29250/38400] lr: 6.685e-04, eta: 0:17:13, time: 0.109, data_time: 0.003, memory: 745, decode.loss_depth: 0.1151, decode.loss_grad: 0.0000, loss: 0.1151, grad_norm: 0.0291 2024-01-03 22:16:05,764 - mmseg - INFO - Iter [29300/38400] lr: 6.616e-04, eta: 0:17:07, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1148, decode.loss_grad: 0.0000, loss: 0.1148, grad_norm: 0.0293 2024-01-03 22:16:11,098 - mmseg - INFO - Iter [29350/38400] lr: 6.546e-04, eta: 0:17:01, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1172, decode.loss_grad: 0.0000, loss: 0.1172, grad_norm: 0.0295 2024-01-03 22:16:16,457 - mmseg - INFO - Iter [29400/38400] lr: 6.478e-04, eta: 0:16:56, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1148, decode.loss_grad: 0.0000, loss: 0.1148, grad_norm: 0.0287 2024-01-03 22:16:21,850 - mmseg - INFO - Iter [29450/38400] lr: 6.409e-04, eta: 0:16:50, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1166, decode.loss_grad: 0.0000, loss: 0.1166, grad_norm: 0.0307 2024-01-03 22:16:27,159 - mmseg - INFO - Iter [29500/38400] lr: 6.341e-04, eta: 0:16:44, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1145, decode.loss_grad: 0.0000, loss: 0.1145, grad_norm: 0.0299 2024-01-03 22:16:32,649 - mmseg - INFO - Iter [29550/38400] lr: 6.273e-04, eta: 0:16:39, time: 0.110, data_time: 0.003, memory: 745, decode.loss_depth: 0.1176, decode.loss_grad: 0.0000, loss: 0.1176, grad_norm: 0.0293 2024-01-03 22:16:38,002 - mmseg - INFO - Iter [29600/38400] lr: 6.205e-04, eta: 0:16:33, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1144, decode.loss_grad: 0.0000, loss: 0.1144, grad_norm: 0.0284 2024-01-03 22:16:43,355 - mmseg - INFO - Iter [29650/38400] lr: 6.138e-04, eta: 0:16:27, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1151, decode.loss_grad: 0.0000, loss: 0.1151, grad_norm: 0.0293 2024-01-03 22:16:48,726 - mmseg - INFO - Iter [29700/38400] lr: 6.071e-04, eta: 0:16:21, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1141, decode.loss_grad: 0.0000, loss: 0.1141, grad_norm: 0.0281 2024-01-03 22:16:54,108 - mmseg - INFO - Iter [29750/38400] lr: 6.004e-04, eta: 0:16:16, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1139, decode.loss_grad: 0.0000, loss: 0.1139, grad_norm: 0.0278 2024-01-03 22:16:59,470 - mmseg - INFO - Iter [29800/38400] lr: 5.938e-04, eta: 0:16:10, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1166, decode.loss_grad: 0.0000, loss: 0.1166, grad_norm: 0.0303 2024-01-03 22:17:04,830 - mmseg - INFO - Iter [29850/38400] lr: 5.872e-04, eta: 0:16:04, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1137, decode.loss_grad: 0.0000, loss: 0.1137, grad_norm: 0.0296 2024-01-03 22:17:10,171 - mmseg - INFO - Iter [29900/38400] lr: 5.806e-04, eta: 0:15:58, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1136, decode.loss_grad: 0.0000, loss: 0.1136, grad_norm: 0.0285 2024-01-03 22:17:15,505 - mmseg - INFO - Iter [29950/38400] lr: 5.741e-04, eta: 0:15:53, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1160, decode.loss_grad: 0.0000, loss: 0.1160, grad_norm: 0.0294 2024-01-03 22:17:20,834 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:17:20,834 - mmseg - INFO - Iter [30000/38400] lr: 5.676e-04, eta: 0:15:47, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1149, decode.loss_grad: 0.0000, loss: 0.1149, grad_norm: 0.0291 2024-01-03 22:17:26,204 - mmseg - INFO - Iter [30050/38400] lr: 5.611e-04, eta: 0:15:41, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1138, decode.loss_grad: 0.0000, loss: 0.1138, grad_norm: 0.0291 2024-01-03 22:17:31,578 - mmseg - INFO - Iter [30100/38400] lr: 5.547e-04, eta: 0:15:36, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1138, decode.loss_grad: 0.0000, loss: 0.1138, grad_norm: 0.0287 2024-01-03 22:17:36,926 - mmseg - INFO - Iter [30150/38400] lr: 5.483e-04, eta: 0:15:30, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1125, decode.loss_grad: 0.0000, loss: 0.1125, grad_norm: 0.0287 2024-01-03 22:17:42,331 - mmseg - INFO - Iter [30200/38400] lr: 5.419e-04, eta: 0:15:24, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1162, decode.loss_grad: 0.0000, loss: 0.1162, grad_norm: 0.0285 2024-01-03 22:17:47,703 - mmseg - INFO - Iter [30250/38400] lr: 5.356e-04, eta: 0:15:18, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1155, decode.loss_grad: 0.0000, loss: 0.1155, grad_norm: 0.0304 2024-01-03 22:17:55,219 - mmseg - INFO - Iter [30300/38400] lr: 5.293e-04, eta: 0:15:13, time: 0.150, data_time: 0.045, memory: 745, decode.loss_depth: 0.1145, decode.loss_grad: 0.0000, loss: 0.1145, grad_norm: 0.0291 2024-01-03 22:18:00,577 - mmseg - INFO - Iter [30350/38400] lr: 5.230e-04, eta: 0:15:08, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1130, decode.loss_grad: 0.0000, loss: 0.1130, grad_norm: 0.0285 2024-01-03 22:18:05,904 - mmseg - INFO - Saving checkpoint at 30400 iterations 2024-01-03 22:18:05,934 - mmseg - INFO - Iter [30400/38400] lr: 5.167e-04, eta: 0:15:02, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1151, decode.loss_grad: 0.0000, loss: 0.1151, grad_norm: 0.0287 2024-01-03 22:18:11,265 - mmseg - INFO - Iter [30450/38400] lr: 5.105e-04, eta: 0:14:56, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1134, decode.loss_grad: 0.0000, loss: 0.1134, grad_norm: 0.0293 2024-01-03 22:18:16,647 - mmseg - INFO - Iter [30500/38400] lr: 5.044e-04, eta: 0:14:50, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1141, decode.loss_grad: 0.0000, loss: 0.1141, grad_norm: 0.0284 2024-01-03 22:18:22,015 - mmseg - INFO - Iter [30550/38400] lr: 4.982e-04, eta: 0:14:45, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1156, decode.loss_grad: 0.0000, loss: 0.1156, grad_norm: 0.0279 2024-01-03 22:18:27,412 - mmseg - INFO - Iter [30600/38400] lr: 4.921e-04, eta: 0:14:39, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1141, decode.loss_grad: 0.0000, loss: 0.1141, grad_norm: 0.0284 2024-01-03 22:18:32,833 - mmseg - INFO - Iter [30650/38400] lr: 4.860e-04, eta: 0:14:33, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1130, decode.loss_grad: 0.0000, loss: 0.1130, grad_norm: 0.0292 2024-01-03 22:18:38,188 - mmseg - INFO - Iter [30700/38400] lr: 4.800e-04, eta: 0:14:28, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1132, decode.loss_grad: 0.0000, loss: 0.1132, grad_norm: 0.0284 2024-01-03 22:18:43,545 - mmseg - INFO - Iter [30750/38400] lr: 4.740e-04, eta: 0:14:22, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1144, decode.loss_grad: 0.0000, loss: 0.1144, grad_norm: 0.0278 2024-01-03 22:18:48,897 - mmseg - INFO - Iter [30800/38400] lr: 4.680e-04, eta: 0:14:16, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1143, decode.loss_grad: 0.0000, loss: 0.1143, grad_norm: 0.0288 2024-01-03 22:18:54,271 - mmseg - INFO - Iter [30850/38400] lr: 4.621e-04, eta: 0:14:11, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1101, decode.loss_grad: 0.0000, loss: 0.1101, grad_norm: 0.0272 2024-01-03 22:18:59,645 - mmseg - INFO - Iter [30900/38400] lr: 4.562e-04, eta: 0:14:05, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1165, decode.loss_grad: 0.0000, loss: 0.1165, grad_norm: 0.0290 2024-01-03 22:19:05,008 - mmseg - INFO - Iter [30950/38400] lr: 4.503e-04, eta: 0:13:59, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1135, decode.loss_grad: 0.0000, loss: 0.1135, grad_norm: 0.0287 2024-01-03 22:19:10,360 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:19:10,361 - mmseg - INFO - Iter [31000/38400] lr: 4.444e-04, eta: 0:13:53, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1163, decode.loss_grad: 0.0000, loss: 0.1163, grad_norm: 0.0288 2024-01-03 22:19:15,748 - mmseg - INFO - Iter [31050/38400] lr: 4.386e-04, eta: 0:13:48, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1137, decode.loss_grad: 0.0000, loss: 0.1137, grad_norm: 0.0286 2024-01-03 22:19:21,134 - mmseg - INFO - Iter [31100/38400] lr: 4.329e-04, eta: 0:13:42, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1143, decode.loss_grad: 0.0000, loss: 0.1143, grad_norm: 0.0284 2024-01-03 22:19:26,486 - mmseg - INFO - Iter [31150/38400] lr: 4.271e-04, eta: 0:13:36, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1136, decode.loss_grad: 0.0000, loss: 0.1136, grad_norm: 0.0297 2024-01-03 22:19:31,855 - mmseg - INFO - Iter [31200/38400] lr: 4.214e-04, eta: 0:13:31, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1129, decode.loss_grad: 0.0000, loss: 0.1129, grad_norm: 0.0286 2024-01-03 22:19:37,195 - mmseg - INFO - Iter [31250/38400] lr: 4.158e-04, eta: 0:13:25, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1158, decode.loss_grad: 0.0000, loss: 0.1158, grad_norm: 0.0294 2024-01-03 22:19:42,598 - mmseg - INFO - Iter [31300/38400] lr: 4.101e-04, eta: 0:13:19, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1149, decode.loss_grad: 0.0000, loss: 0.1149, grad_norm: 0.0296 2024-01-03 22:19:47,954 - mmseg - INFO - Iter [31350/38400] lr: 4.045e-04, eta: 0:13:14, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1152, decode.loss_grad: 0.0000, loss: 0.1152, grad_norm: 0.0291 2024-01-03 22:19:53,288 - mmseg - INFO - Iter [31400/38400] lr: 3.990e-04, eta: 0:13:08, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1131, decode.loss_grad: 0.0000, loss: 0.1131, grad_norm: 0.0282 2024-01-03 22:19:58,616 - mmseg - INFO - Iter [31450/38400] lr: 3.935e-04, eta: 0:13:02, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1134, decode.loss_grad: 0.0000, loss: 0.1134, grad_norm: 0.0290 2024-01-03 22:20:03,997 - mmseg - INFO - Iter [31500/38400] lr: 3.880e-04, eta: 0:12:56, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1131, decode.loss_grad: 0.0000, loss: 0.1131, grad_norm: 0.0287 2024-01-03 22:20:09,328 - mmseg - INFO - Iter [31550/38400] lr: 3.825e-04, eta: 0:12:51, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1135, decode.loss_grad: 0.0000, loss: 0.1135, grad_norm: 0.0288 2024-01-03 22:20:14,655 - mmseg - INFO - Iter [31600/38400] lr: 3.771e-04, eta: 0:12:45, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1133, decode.loss_grad: 0.0000, loss: 0.1133, grad_norm: 0.0281 2024-01-03 22:20:20,048 - mmseg - INFO - Iter [31650/38400] lr: 3.717e-04, eta: 0:12:39, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1167, decode.loss_grad: 0.0000, loss: 0.1167, grad_norm: 0.0290 2024-01-03 22:20:25,419 - mmseg - INFO - Iter [31700/38400] lr: 3.664e-04, eta: 0:12:34, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1166, decode.loss_grad: 0.0000, loss: 0.1166, grad_norm: 0.0287 2024-01-03 22:20:30,775 - mmseg - INFO - Iter [31750/38400] lr: 3.611e-04, eta: 0:12:28, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1170, decode.loss_grad: 0.0000, loss: 0.1170, grad_norm: 0.0290 2024-01-03 22:20:38,363 - mmseg - INFO - Iter [31800/38400] lr: 3.558e-04, eta: 0:12:23, time: 0.152, data_time: 0.048, memory: 745, decode.loss_depth: 0.1149, decode.loss_grad: 0.0000, loss: 0.1149, grad_norm: 0.0294 2024-01-03 22:20:43,694 - mmseg - INFO - Iter [31850/38400] lr: 3.505e-04, eta: 0:12:17, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1101, decode.loss_grad: 0.0000, loss: 0.1101, grad_norm: 0.0293 2024-01-03 22:20:49,060 - mmseg - INFO - Iter [31900/38400] lr: 3.453e-04, eta: 0:12:11, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1128, decode.loss_grad: 0.0000, loss: 0.1128, grad_norm: 0.0288 2024-01-03 22:20:54,414 - mmseg - INFO - Iter [31950/38400] lr: 3.402e-04, eta: 0:12:06, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1135, decode.loss_grad: 0.0000, loss: 0.1135, grad_norm: 0.0276 2024-01-03 22:20:59,787 - mmseg - INFO - Saving checkpoint at 32000 iterations 2024-01-03 22:20:59,812 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:20:59,812 - mmseg - INFO - Iter [32000/38400] lr: 3.350e-04, eta: 0:12:00, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1134, decode.loss_grad: 0.0000, loss: 0.1134, grad_norm: 0.0279 2024-01-03 22:21:08,659 - mmseg - INFO - Summary: 2024-01-03 22:21:08,660 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.7226 | 0.9416 | 0.9877 | 0.1795 | 0.5888 | 0.0746 | 0.2144 | 17.7124 | 0.1392 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 22:21:08,661 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:21:08,661 - mmseg - INFO - Iter(val) [82] a1: 0.7226, a2: 0.9416, a3: 0.9877, abs_rel: 0.17953595519065857, rmse: 0.5887507796287537, log_10: 0.07458075135946274, rmse_log: 0.21437464654445648, silog: 17.7124, sq_rel: 0.13918782770633698 2024-01-03 22:21:14,018 - mmseg - INFO - Iter [32050/38400] lr: 3.299e-04, eta: 0:11:56, time: 0.284, data_time: 0.180, memory: 745, decode.loss_depth: 0.1160, decode.loss_grad: 0.0000, loss: 0.1160, grad_norm: 0.0280 2024-01-03 22:21:19,380 - mmseg - INFO - Iter [32100/38400] lr: 3.249e-04, eta: 0:11:50, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1151, decode.loss_grad: 0.0000, loss: 0.1151, grad_norm: 0.0283 2024-01-03 22:21:24,777 - mmseg - INFO - Iter [32150/38400] lr: 3.199e-04, eta: 0:11:45, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1136, decode.loss_grad: 0.0000, loss: 0.1136, grad_norm: 0.0282 2024-01-03 22:21:30,178 - mmseg - INFO - Iter [32200/38400] lr: 3.149e-04, eta: 0:11:39, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1125, decode.loss_grad: 0.0000, loss: 0.1125, grad_norm: 0.0285 2024-01-03 22:21:35,588 - mmseg - INFO - Iter [32250/38400] lr: 3.099e-04, eta: 0:11:33, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1131, decode.loss_grad: 0.0000, loss: 0.1131, grad_norm: 0.0288 2024-01-03 22:21:40,975 - mmseg - INFO - Iter [32300/38400] lr: 3.050e-04, eta: 0:11:28, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1120, decode.loss_grad: 0.0000, loss: 0.1120, grad_norm: 0.0276 2024-01-03 22:21:46,347 - mmseg - INFO - Iter [32350/38400] lr: 3.001e-04, eta: 0:11:22, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1117, decode.loss_grad: 0.0000, loss: 0.1117, grad_norm: 0.0281 2024-01-03 22:21:51,776 - mmseg - INFO - Iter [32400/38400] lr: 2.953e-04, eta: 0:11:16, time: 0.109, data_time: 0.003, memory: 745, decode.loss_depth: 0.1168, decode.loss_grad: 0.0000, loss: 0.1168, grad_norm: 0.0292 2024-01-03 22:21:57,178 - mmseg - INFO - Iter [32450/38400] lr: 2.905e-04, eta: 0:11:11, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1135, decode.loss_grad: 0.0000, loss: 0.1135, grad_norm: 0.0282 2024-01-03 22:22:02,534 - mmseg - INFO - Iter [32500/38400] lr: 2.857e-04, eta: 0:11:05, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1141, decode.loss_grad: 0.0000, loss: 0.1141, grad_norm: 0.0282 2024-01-03 22:22:07,864 - mmseg - INFO - Iter [32550/38400] lr: 2.810e-04, eta: 0:10:59, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1155, decode.loss_grad: 0.0000, loss: 0.1155, grad_norm: 0.0289 2024-01-03 22:22:13,207 - mmseg - INFO - Iter [32600/38400] lr: 2.763e-04, eta: 0:10:54, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1147, decode.loss_grad: 0.0000, loss: 0.1147, grad_norm: 0.0295 2024-01-03 22:22:18,547 - mmseg - INFO - Iter [32650/38400] lr: 2.716e-04, eta: 0:10:48, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1126, decode.loss_grad: 0.0000, loss: 0.1126, grad_norm: 0.0284 2024-01-03 22:22:23,900 - mmseg - INFO - Iter [32700/38400] lr: 2.670e-04, eta: 0:10:42, time: 0.107, data_time: 0.004, memory: 745, decode.loss_depth: 0.1119, decode.loss_grad: 0.0000, loss: 0.1119, grad_norm: 0.0279 2024-01-03 22:22:29,344 - mmseg - INFO - Iter [32750/38400] lr: 2.625e-04, eta: 0:10:37, time: 0.109, data_time: 0.003, memory: 745, decode.loss_depth: 0.1152, decode.loss_grad: 0.0000, loss: 0.1152, grad_norm: 0.0288 2024-01-03 22:22:34,715 - mmseg - INFO - Iter [32800/38400] lr: 2.579e-04, eta: 0:10:31, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1132, decode.loss_grad: 0.0000, loss: 0.1132, grad_norm: 0.0283 2024-01-03 22:22:40,086 - mmseg - INFO - Iter [32850/38400] lr: 2.534e-04, eta: 0:10:25, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1135, decode.loss_grad: 0.0000, loss: 0.1135, grad_norm: 0.0280 2024-01-03 22:22:45,511 - mmseg - INFO - Iter [32900/38400] lr: 2.489e-04, eta: 0:10:19, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1120, decode.loss_grad: 0.0000, loss: 0.1120, grad_norm: 0.0285 2024-01-03 22:22:50,829 - mmseg - INFO - Iter [32950/38400] lr: 2.445e-04, eta: 0:10:14, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1153, decode.loss_grad: 0.0000, loss: 0.1153, grad_norm: 0.0290 2024-01-03 22:22:56,173 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:22:56,173 - mmseg - INFO - Iter [33000/38400] lr: 2.401e-04, eta: 0:10:08, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1144, decode.loss_grad: 0.0000, loss: 0.1144, grad_norm: 0.0283 2024-01-03 22:23:01,518 - mmseg - INFO - Iter [33050/38400] lr: 2.358e-04, eta: 0:10:02, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1152, decode.loss_grad: 0.0000, loss: 0.1152, grad_norm: 0.0282 2024-01-03 22:23:06,854 - mmseg - INFO - Iter [33100/38400] lr: 2.314e-04, eta: 0:09:57, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1108, decode.loss_grad: 0.0000, loss: 0.1108, grad_norm: 0.0274 2024-01-03 22:23:12,183 - mmseg - INFO - Iter [33150/38400] lr: 2.272e-04, eta: 0:09:51, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1145, decode.loss_grad: 0.0000, loss: 0.1145, grad_norm: 0.0288 2024-01-03 22:23:17,557 - mmseg - INFO - Iter [33200/38400] lr: 2.229e-04, eta: 0:09:45, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1122, decode.loss_grad: 0.0000, loss: 0.1122, grad_norm: 0.0276 2024-01-03 22:23:22,889 - mmseg - INFO - Iter [33250/38400] lr: 2.187e-04, eta: 0:09:40, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1141, decode.loss_grad: 0.0000, loss: 0.1141, grad_norm: 0.0282 2024-01-03 22:23:28,298 - mmseg - INFO - Iter [33300/38400] lr: 2.146e-04, eta: 0:09:34, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1130, decode.loss_grad: 0.0000, loss: 0.1130, grad_norm: 0.0285 2024-01-03 22:23:35,837 - mmseg - INFO - Iter [33350/38400] lr: 2.104e-04, eta: 0:09:29, time: 0.151, data_time: 0.046, memory: 745, decode.loss_depth: 0.1134, decode.loss_grad: 0.0000, loss: 0.1134, grad_norm: 0.0285 2024-01-03 22:23:41,227 - mmseg - INFO - Iter [33400/38400] lr: 2.063e-04, eta: 0:09:23, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1132, decode.loss_grad: 0.0000, loss: 0.1132, grad_norm: 0.0283 2024-01-03 22:23:46,617 - mmseg - INFO - Iter [33450/38400] lr: 2.023e-04, eta: 0:09:17, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1150, decode.loss_grad: 0.0000, loss: 0.1150, grad_norm: 0.0279 2024-01-03 22:23:51,956 - mmseg - INFO - Iter [33500/38400] lr: 1.983e-04, eta: 0:09:12, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1131, decode.loss_grad: 0.0000, loss: 0.1131, grad_norm: 0.0278 2024-01-03 22:23:57,341 - mmseg - INFO - Iter [33550/38400] lr: 1.943e-04, eta: 0:09:06, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1151, decode.loss_grad: 0.0000, loss: 0.1151, grad_norm: 0.0282 2024-01-03 22:24:02,649 - mmseg - INFO - Saving checkpoint at 33600 iterations 2024-01-03 22:24:02,675 - mmseg - INFO - Iter [33600/38400] lr: 1.904e-04, eta: 0:09:00, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1130, decode.loss_grad: 0.0000, loss: 0.1130, grad_norm: 0.0275 2024-01-03 22:24:08,007 - mmseg - INFO - Iter [33650/38400] lr: 1.865e-04, eta: 0:08:55, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1113, decode.loss_grad: 0.0000, loss: 0.1113, grad_norm: 0.0276 2024-01-03 22:24:13,386 - mmseg - INFO - Iter [33700/38400] lr: 1.826e-04, eta: 0:08:49, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1119, decode.loss_grad: 0.0000, loss: 0.1119, grad_norm: 0.0278 2024-01-03 22:24:18,828 - mmseg - INFO - Iter [33750/38400] lr: 1.788e-04, eta: 0:08:43, time: 0.109, data_time: 0.003, memory: 745, decode.loss_depth: 0.1136, decode.loss_grad: 0.0000, loss: 0.1136, grad_norm: 0.0288 2024-01-03 22:24:24,200 - mmseg - INFO - Iter [33800/38400] lr: 1.750e-04, eta: 0:08:38, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1130, decode.loss_grad: 0.0000, loss: 0.1130, grad_norm: 0.0280 2024-01-03 22:24:29,504 - mmseg - INFO - Iter [33850/38400] lr: 1.713e-04, eta: 0:08:32, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1118, decode.loss_grad: 0.0000, loss: 0.1118, grad_norm: 0.0286 2024-01-03 22:24:34,861 - mmseg - INFO - Iter [33900/38400] lr: 1.676e-04, eta: 0:08:26, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1125, decode.loss_grad: 0.0000, loss: 0.1125, grad_norm: 0.0293 2024-01-03 22:24:40,219 - mmseg - INFO - Iter [33950/38400] lr: 1.639e-04, eta: 0:08:21, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1110, decode.loss_grad: 0.0000, loss: 0.1110, grad_norm: 0.0274 2024-01-03 22:24:45,586 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:24:45,586 - mmseg - INFO - Iter [34000/38400] lr: 1.603e-04, eta: 0:08:15, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1119, decode.loss_grad: 0.0000, loss: 0.1119, grad_norm: 0.0284 2024-01-03 22:24:50,960 - mmseg - INFO - Iter [34050/38400] lr: 1.567e-04, eta: 0:08:09, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1161, decode.loss_grad: 0.0000, loss: 0.1161, grad_norm: 0.0299 2024-01-03 22:24:56,307 - mmseg - INFO - Iter [34100/38400] lr: 1.532e-04, eta: 0:08:04, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1125, decode.loss_grad: 0.0000, loss: 0.1125, grad_norm: 0.0287 2024-01-03 22:25:01,663 - mmseg - INFO - Iter [34150/38400] lr: 1.497e-04, eta: 0:07:58, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1114, decode.loss_grad: 0.0000, loss: 0.1114, grad_norm: 0.0272 2024-01-03 22:25:07,079 - mmseg - INFO - Iter [34200/38400] lr: 1.462e-04, eta: 0:07:52, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1124, decode.loss_grad: 0.0000, loss: 0.1124, grad_norm: 0.0273 2024-01-03 22:25:12,520 - mmseg - INFO - Iter [34250/38400] lr: 1.428e-04, eta: 0:07:47, time: 0.109, data_time: 0.003, memory: 745, decode.loss_depth: 0.1157, decode.loss_grad: 0.0000, loss: 0.1157, grad_norm: 0.0284 2024-01-03 22:25:17,900 - mmseg - INFO - Iter [34300/38400] lr: 1.394e-04, eta: 0:07:41, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1149, decode.loss_grad: 0.0000, loss: 0.1149, grad_norm: 0.0283 2024-01-03 22:25:23,259 - mmseg - INFO - Iter [34350/38400] lr: 1.360e-04, eta: 0:07:35, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1131, decode.loss_grad: 0.0000, loss: 0.1131, grad_norm: 0.0288 2024-01-03 22:25:28,575 - mmseg - INFO - Iter [34400/38400] lr: 1.327e-04, eta: 0:07:30, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1133, decode.loss_grad: 0.0000, loss: 0.1133, grad_norm: 0.0283 2024-01-03 22:25:33,932 - mmseg - INFO - Iter [34450/38400] lr: 1.295e-04, eta: 0:07:24, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1108, decode.loss_grad: 0.0000, loss: 0.1108, grad_norm: 0.0281 2024-01-03 22:25:39,311 - mmseg - INFO - Iter [34500/38400] lr: 1.262e-04, eta: 0:07:18, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1136, decode.loss_grad: 0.0000, loss: 0.1136, grad_norm: 0.0275 2024-01-03 22:25:44,639 - mmseg - INFO - Iter [34550/38400] lr: 1.231e-04, eta: 0:07:13, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1123, decode.loss_grad: 0.0000, loss: 0.1123, grad_norm: 0.0275 2024-01-03 22:25:49,999 - mmseg - INFO - Iter [34600/38400] lr: 1.199e-04, eta: 0:07:07, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1120, decode.loss_grad: 0.0000, loss: 0.1120, grad_norm: 0.0281 2024-01-03 22:25:55,323 - mmseg - INFO - Iter [34650/38400] lr: 1.168e-04, eta: 0:07:01, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1139, decode.loss_grad: 0.0000, loss: 0.1139, grad_norm: 0.0285 2024-01-03 22:26:00,654 - mmseg - INFO - Iter [34700/38400] lr: 1.137e-04, eta: 0:06:56, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1123, decode.loss_grad: 0.0000, loss: 0.1123, grad_norm: 0.0278 2024-01-03 22:26:06,008 - mmseg - INFO - Iter [34750/38400] lr: 1.107e-04, eta: 0:06:50, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1128, decode.loss_grad: 0.0000, loss: 0.1128, grad_norm: 0.0272 2024-01-03 22:26:11,363 - mmseg - INFO - Iter [34800/38400] lr: 1.077e-04, eta: 0:06:44, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1141, decode.loss_grad: 0.0000, loss: 0.1141, grad_norm: 0.0274 2024-01-03 22:26:18,911 - mmseg - INFO - Iter [34850/38400] lr: 1.048e-04, eta: 0:06:39, time: 0.151, data_time: 0.046, memory: 745, decode.loss_depth: 0.1102, decode.loss_grad: 0.0000, loss: 0.1102, grad_norm: 0.0277 2024-01-03 22:26:24,257 - mmseg - INFO - Iter [34900/38400] lr: 1.018e-04, eta: 0:06:33, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1119, decode.loss_grad: 0.0000, loss: 0.1119, grad_norm: 0.0276 2024-01-03 22:26:29,583 - mmseg - INFO - Iter [34950/38400] lr: 9.898e-05, eta: 0:06:28, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1136, decode.loss_grad: 0.0000, loss: 0.1136, grad_norm: 0.0274 2024-01-03 22:26:34,935 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:26:34,936 - mmseg - INFO - Iter [35000/38400] lr: 9.615e-05, eta: 0:06:22, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1123, decode.loss_grad: 0.0000, loss: 0.1123, grad_norm: 0.0276 2024-01-03 22:26:40,268 - mmseg - INFO - Iter [35050/38400] lr: 9.336e-05, eta: 0:06:16, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1123, decode.loss_grad: 0.0000, loss: 0.1123, grad_norm: 0.0273 2024-01-03 22:26:45,590 - mmseg - INFO - Iter [35100/38400] lr: 9.061e-05, eta: 0:06:11, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1127, decode.loss_grad: 0.0000, loss: 0.1127, grad_norm: 0.0284 2024-01-03 22:26:50,930 - mmseg - INFO - Iter [35150/38400] lr: 8.791e-05, eta: 0:06:05, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1130, decode.loss_grad: 0.0000, loss: 0.1130, grad_norm: 0.0282 2024-01-03 22:26:56,322 - mmseg - INFO - Saving checkpoint at 35200 iterations 2024-01-03 22:26:56,348 - mmseg - INFO - Iter [35200/38400] lr: 8.524e-05, eta: 0:05:59, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1145, decode.loss_grad: 0.0000, loss: 0.1145, grad_norm: 0.0284 2024-01-03 22:27:05,217 - mmseg - INFO - Summary: 2024-01-03 22:27:05,218 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.7236 | 0.9418 | 0.9879 | 0.1782 | 0.5879 | 0.0744 | 0.214 | 17.7164 | 0.1376 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 22:27:05,218 - mmseg - INFO - Iter(val) [82] a1: 0.7236, a2: 0.9418, a3: 0.9879, abs_rel: 0.17819678783416748, rmse: 0.5878662467002869, log_10: 0.07441769540309906, rmse_log: 0.21396107971668243, silog: 17.7164, sq_rel: 0.13762742280960083 2024-01-03 22:27:10,572 - mmseg - INFO - Iter [35250/38400] lr: 8.261e-05, eta: 0:05:55, time: 0.284, data_time: 0.181, memory: 745, decode.loss_depth: 0.1142, decode.loss_grad: 0.0000, loss: 0.1142, grad_norm: 0.0287 2024-01-03 22:27:15,989 - mmseg - INFO - Iter [35300/38400] lr: 8.002e-05, eta: 0:05:49, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1095, decode.loss_grad: 0.0000, loss: 0.1095, grad_norm: 0.0274 2024-01-03 22:27:21,427 - mmseg - INFO - Iter [35350/38400] lr: 7.748e-05, eta: 0:05:43, time: 0.109, data_time: 0.003, memory: 745, decode.loss_depth: 0.1126, decode.loss_grad: 0.0000, loss: 0.1126, grad_norm: 0.0286 2024-01-03 22:27:26,797 - mmseg - INFO - Iter [35400/38400] lr: 7.497e-05, eta: 0:05:38, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1132, decode.loss_grad: 0.0000, loss: 0.1132, grad_norm: 0.0279 2024-01-03 22:27:32,216 - mmseg - INFO - Iter [35450/38400] lr: 7.251e-05, eta: 0:05:32, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1151, decode.loss_grad: 0.0000, loss: 0.1151, grad_norm: 0.0292 2024-01-03 22:27:37,549 - mmseg - INFO - Iter [35500/38400] lr: 7.008e-05, eta: 0:05:26, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1118, decode.loss_grad: 0.0000, loss: 0.1118, grad_norm: 0.0283 2024-01-03 22:27:42,927 - mmseg - INFO - Iter [35550/38400] lr: 6.770e-05, eta: 0:05:21, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1153, decode.loss_grad: 0.0000, loss: 0.1153, grad_norm: 0.0287 2024-01-03 22:27:48,261 - mmseg - INFO - Iter [35600/38400] lr: 6.535e-05, eta: 0:05:15, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1137, decode.loss_grad: 0.0000, loss: 0.1137, grad_norm: 0.0276 2024-01-03 22:27:53,579 - mmseg - INFO - Iter [35650/38400] lr: 6.305e-05, eta: 0:05:09, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1101, decode.loss_grad: 0.0000, loss: 0.1101, grad_norm: 0.0292 2024-01-03 22:27:58,903 - mmseg - INFO - Iter [35700/38400] lr: 6.079e-05, eta: 0:05:04, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1109, decode.loss_grad: 0.0000, loss: 0.1109, grad_norm: 0.0272 2024-01-03 22:28:04,267 - mmseg - INFO - Iter [35750/38400] lr: 5.857e-05, eta: 0:04:58, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1111, decode.loss_grad: 0.0000, loss: 0.1111, grad_norm: 0.0272 2024-01-03 22:28:09,583 - mmseg - INFO - Iter [35800/38400] lr: 5.639e-05, eta: 0:04:52, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1124, decode.loss_grad: 0.0000, loss: 0.1124, grad_norm: 0.0281 2024-01-03 22:28:14,949 - mmseg - INFO - Iter [35850/38400] lr: 5.425e-05, eta: 0:04:47, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1113, decode.loss_grad: 0.0000, loss: 0.1113, grad_norm: 0.0272 2024-01-03 22:28:20,330 - mmseg - INFO - Iter [35900/38400] lr: 5.215e-05, eta: 0:04:41, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1148, decode.loss_grad: 0.0000, loss: 0.1148, grad_norm: 0.0278 2024-01-03 22:28:25,671 - mmseg - INFO - Iter [35950/38400] lr: 5.009e-05, eta: 0:04:35, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1130, decode.loss_grad: 0.0000, loss: 0.1130, grad_norm: 0.0285 2024-01-03 22:28:31,024 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:28:31,025 - mmseg - INFO - Iter [36000/38400] lr: 4.808e-05, eta: 0:04:30, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1119, decode.loss_grad: 0.0000, loss: 0.1119, grad_norm: 0.0278 2024-01-03 22:28:36,323 - mmseg - INFO - Iter [36050/38400] lr: 4.610e-05, eta: 0:04:24, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1142, decode.loss_grad: 0.0000, loss: 0.1142, grad_norm: 0.0279 2024-01-03 22:28:41,679 - mmseg - INFO - Iter [36100/38400] lr: 4.417e-05, eta: 0:04:18, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1137, decode.loss_grad: 0.0000, loss: 0.1137, grad_norm: 0.0279 2024-01-03 22:28:47,054 - mmseg - INFO - Iter [36150/38400] lr: 4.227e-05, eta: 0:04:13, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1121, decode.loss_grad: 0.0000, loss: 0.1121, grad_norm: 0.0269 2024-01-03 22:28:52,502 - mmseg - INFO - Iter [36200/38400] lr: 4.042e-05, eta: 0:04:07, time: 0.109, data_time: 0.003, memory: 745, decode.loss_depth: 0.1121, decode.loss_grad: 0.0000, loss: 0.1121, grad_norm: 0.0284 2024-01-03 22:28:57,873 - mmseg - INFO - Iter [36250/38400] lr: 3.861e-05, eta: 0:04:02, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1132, decode.loss_grad: 0.0000, loss: 0.1132, grad_norm: 0.0277 2024-01-03 22:29:03,203 - mmseg - INFO - Iter [36300/38400] lr: 3.684e-05, eta: 0:03:56, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1128, decode.loss_grad: 0.0000, loss: 0.1128, grad_norm: 0.0287 2024-01-03 22:29:10,730 - mmseg - INFO - Iter [36350/38400] lr: 3.511e-05, eta: 0:03:50, time: 0.151, data_time: 0.046, memory: 745, decode.loss_depth: 0.1129, decode.loss_grad: 0.0000, loss: 0.1129, grad_norm: 0.0277 2024-01-03 22:29:16,136 - mmseg - INFO - Iter [36400/38400] lr: 3.343e-05, eta: 0:03:45, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1126, decode.loss_grad: 0.0000, loss: 0.1126, grad_norm: 0.0278 2024-01-03 22:29:21,500 - mmseg - INFO - Iter [36450/38400] lr: 3.178e-05, eta: 0:03:39, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1103, decode.loss_grad: 0.0000, loss: 0.1103, grad_norm: 0.0275 2024-01-03 22:29:26,868 - mmseg - INFO - Iter [36500/38400] lr: 3.017e-05, eta: 0:03:33, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1107, decode.loss_grad: 0.0000, loss: 0.1107, grad_norm: 0.0279 2024-01-03 22:29:32,227 - mmseg - INFO - Iter [36550/38400] lr: 2.861e-05, eta: 0:03:28, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1128, decode.loss_grad: 0.0000, loss: 0.1128, grad_norm: 0.0271 2024-01-03 22:29:37,558 - mmseg - INFO - Iter [36600/38400] lr: 2.709e-05, eta: 0:03:22, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1136, decode.loss_grad: 0.0000, loss: 0.1136, grad_norm: 0.0279 2024-01-03 22:29:42,944 - mmseg - INFO - Iter [36650/38400] lr: 2.561e-05, eta: 0:03:17, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1125, decode.loss_grad: 0.0000, loss: 0.1125, grad_norm: 0.0281 2024-01-03 22:29:48,355 - mmseg - INFO - Iter [36700/38400] lr: 2.417e-05, eta: 0:03:11, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1120, decode.loss_grad: 0.0000, loss: 0.1120, grad_norm: 0.0289 2024-01-03 22:29:53,690 - mmseg - INFO - Iter [36750/38400] lr: 2.277e-05, eta: 0:03:05, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1117, decode.loss_grad: 0.0000, loss: 0.1117, grad_norm: 0.0274 2024-01-03 22:29:59,062 - mmseg - INFO - Saving checkpoint at 36800 iterations 2024-01-03 22:29:59,093 - mmseg - INFO - Iter [36800/38400] lr: 2.141e-05, eta: 0:03:00, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1129, decode.loss_grad: 0.0000, loss: 0.1129, grad_norm: 0.0280 2024-01-03 22:30:04,444 - mmseg - INFO - Iter [36850/38400] lr: 2.010e-05, eta: 0:02:54, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1109, decode.loss_grad: 0.0000, loss: 0.1109, grad_norm: 0.0274 2024-01-03 22:30:09,849 - mmseg - INFO - Iter [36900/38400] lr: 1.883e-05, eta: 0:02:48, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1152, decode.loss_grad: 0.0000, loss: 0.1152, grad_norm: 0.0281 2024-01-03 22:30:15,203 - mmseg - INFO - Iter [36950/38400] lr: 1.759e-05, eta: 0:02:43, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1121, decode.loss_grad: 0.0000, loss: 0.1121, grad_norm: 0.0276 2024-01-03 22:30:20,556 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:30:20,557 - mmseg - INFO - Iter [37000/38400] lr: 1.640e-05, eta: 0:02:37, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1114, decode.loss_grad: 0.0000, loss: 0.1114, grad_norm: 0.0283 2024-01-03 22:30:25,900 - mmseg - INFO - Iter [37050/38400] lr: 1.526e-05, eta: 0:02:31, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1120, decode.loss_grad: 0.0000, loss: 0.1120, grad_norm: 0.0277 2024-01-03 22:30:31,251 - mmseg - INFO - Iter [37100/38400] lr: 1.415e-05, eta: 0:02:26, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1142, decode.loss_grad: 0.0000, loss: 0.1142, grad_norm: 0.0274 2024-01-03 22:30:36,671 - mmseg - INFO - Iter [37150/38400] lr: 1.308e-05, eta: 0:02:20, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1114, decode.loss_grad: 0.0000, loss: 0.1114, grad_norm: 0.0287 2024-01-03 22:30:41,984 - mmseg - INFO - Iter [37200/38400] lr: 1.206e-05, eta: 0:02:14, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1130, decode.loss_grad: 0.0000, loss: 0.1130, grad_norm: 0.0281 2024-01-03 22:30:47,292 - mmseg - INFO - Iter [37250/38400] lr: 1.108e-05, eta: 0:02:09, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1123, decode.loss_grad: 0.0000, loss: 0.1123, grad_norm: 0.0276 2024-01-03 22:30:52,649 - mmseg - INFO - Iter [37300/38400] lr: 1.014e-05, eta: 0:02:03, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1136, decode.loss_grad: 0.0000, loss: 0.1136, grad_norm: 0.0286 2024-01-03 22:30:57,978 - mmseg - INFO - Iter [37350/38400] lr: 9.236e-06, eta: 0:01:58, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1144, decode.loss_grad: 0.0000, loss: 0.1144, grad_norm: 0.0274 2024-01-03 22:31:05,391 - mmseg - INFO - Iter [37400/38400] lr: 8.379e-06, eta: 0:01:52, time: 0.148, data_time: 0.003, memory: 745, decode.loss_depth: 0.1132, decode.loss_grad: 0.0000, loss: 0.1132, grad_norm: 0.0282 2024-01-03 22:31:10,809 - mmseg - INFO - Iter [37450/38400] lr: 7.563e-06, eta: 0:01:46, time: 0.109, data_time: 0.004, memory: 745, decode.loss_depth: 0.1120, decode.loss_grad: 0.0000, loss: 0.1120, grad_norm: 0.0277 2024-01-03 22:31:16,199 - mmseg - INFO - Iter [37500/38400] lr: 6.789e-06, eta: 0:01:41, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1110, decode.loss_grad: 0.0000, loss: 0.1110, grad_norm: 0.0277 2024-01-03 22:31:21,554 - mmseg - INFO - Iter [37550/38400] lr: 6.057e-06, eta: 0:01:35, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1126, decode.loss_grad: 0.0000, loss: 0.1126, grad_norm: 0.0267 2024-01-03 22:31:26,889 - mmseg - INFO - Iter [37600/38400] lr: 5.366e-06, eta: 0:01:29, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1120, decode.loss_grad: 0.0000, loss: 0.1120, grad_norm: 0.0272 2024-01-03 22:31:32,248 - mmseg - INFO - Iter [37650/38400] lr: 4.717e-06, eta: 0:01:24, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1139, decode.loss_grad: 0.0000, loss: 0.1139, grad_norm: 0.0281 2024-01-03 22:31:37,575 - mmseg - INFO - Iter [37700/38400] lr: 4.110e-06, eta: 0:01:18, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1109, decode.loss_grad: 0.0000, loss: 0.1109, grad_norm: 0.0286 2024-01-03 22:31:42,924 - mmseg - INFO - Iter [37750/38400] lr: 3.545e-06, eta: 0:01:13, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1144, decode.loss_grad: 0.0000, loss: 0.1144, grad_norm: 0.0282 2024-01-03 22:31:48,236 - mmseg - INFO - Iter [37800/38400] lr: 3.021e-06, eta: 0:01:07, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1131, decode.loss_grad: 0.0000, loss: 0.1131, grad_norm: 0.0269 2024-01-03 22:31:53,550 - mmseg - INFO - Iter [37850/38400] lr: 2.540e-06, eta: 0:01:01, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1120, decode.loss_grad: 0.0000, loss: 0.1120, grad_norm: 0.0278 2024-01-03 22:32:01,188 - mmseg - INFO - Iter [37900/38400] lr: 2.100e-06, eta: 0:00:56, time: 0.153, data_time: 0.047, memory: 745, decode.loss_depth: 0.1115, decode.loss_grad: 0.0000, loss: 0.1115, grad_norm: 0.0286 2024-01-03 22:32:06,558 - mmseg - INFO - Iter [37950/38400] lr: 1.702e-06, eta: 0:00:50, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1125, decode.loss_grad: 0.0000, loss: 0.1125, grad_norm: 0.0274 2024-01-03 22:32:11,978 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:32:11,978 - mmseg - INFO - Iter [38000/38400] lr: 1.345e-06, eta: 0:00:44, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1136, decode.loss_grad: 0.0000, loss: 0.1136, grad_norm: 0.0272 2024-01-03 22:32:17,368 - mmseg - INFO - Iter [38050/38400] lr: 1.031e-06, eta: 0:00:39, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1121, decode.loss_grad: 0.0000, loss: 0.1121, grad_norm: 0.0281 2024-01-03 22:32:22,723 - mmseg - INFO - Iter [38100/38400] lr: 7.580e-07, eta: 0:00:33, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1122, decode.loss_grad: 0.0000, loss: 0.1122, grad_norm: 0.0274 2024-01-03 22:32:28,118 - mmseg - INFO - Iter [38150/38400] lr: 5.271e-07, eta: 0:00:28, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1098, decode.loss_grad: 0.0000, loss: 0.1098, grad_norm: 0.0273 2024-01-03 22:32:33,524 - mmseg - INFO - Iter [38200/38400] lr: 3.381e-07, eta: 0:00:22, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1118, decode.loss_grad: 0.0000, loss: 0.1118, grad_norm: 0.0274 2024-01-03 22:32:38,868 - mmseg - INFO - Iter [38250/38400] lr: 1.908e-07, eta: 0:00:16, time: 0.107, data_time: 0.003, memory: 745, decode.loss_depth: 0.1110, decode.loss_grad: 0.0000, loss: 0.1110, grad_norm: 0.0273 2024-01-03 22:32:44,257 - mmseg - INFO - Iter [38300/38400] lr: 8.540e-08, eta: 0:00:11, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1122, decode.loss_grad: 0.0000, loss: 0.1122, grad_norm: 0.0281 2024-01-03 22:32:49,670 - mmseg - INFO - Iter [38350/38400] lr: 2.181e-08, eta: 0:00:05, time: 0.108, data_time: 0.003, memory: 745, decode.loss_depth: 0.1127, decode.loss_grad: 0.0000, loss: 0.1127, grad_norm: 0.0285 2024-01-03 22:32:54,946 - mmseg - INFO - Saving checkpoint at 38400 iterations 2024-01-03 22:32:54,986 - mmseg - INFO - Iter [38400/38400] lr: 5.837e-11, eta: 0:00:00, time: 0.106, data_time: 0.003, memory: 745, decode.loss_depth: 0.1151, decode.loss_grad: 0.0000, loss: 0.1151, grad_norm: 0.0279 2024-01-03 22:33:04,260 - mmseg - INFO - Summary: 2024-01-03 22:33:04,263 - mmseg - INFO - +--------+--------+--------+---------+-------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+-------+--------+----------+---------+--------+ | 0.7234 | 0.9417 | 0.9879 | 0.1788 | 0.588 | 0.0745 | 0.2141 | 17.7177 | 0.1383 | +--------+--------+--------+---------+-------+--------+----------+---------+--------+ 2024-01-03 22:33:04,263 - mmseg - INFO - Iter(val) [82] a1: 0.7234, a2: 0.9417, a3: 0.9879, abs_rel: 0.1788073033094406, rmse: 0.5879656672477722, log_10: 0.07448660582304001, rmse_log: 0.21409744024276733, silog: 17.7177, sq_rel: 0.13828697800636292