2024-01-03 17:09:18,174 - mmseg - INFO - Environment info: ------------------------------------------------------------ sys.platform: linux Python: 3.9.18 (main, Sep 11 2023, 13:41:44) [GCC 11.2.0] CUDA available: True GPU 0,1,2,3,4,5,6,7: NVIDIA A6000 CUDA_HOME: /usr/local/cuda NVCC: Cuda compilation tools, release 11.3, V11.3.58 GCC: gcc (Ubuntu 9.3.0-17ubuntu1~20.04) 9.3.0 PyTorch: 2.0.0+cu117 PyTorch compiling details: PyTorch built with: - GCC 9.3 - C++ Version: 201703 - Intel(R) oneAPI Math Kernel Library Version 2022.2-Product Build 20220804 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.7.3 (Git Hash 6dbeffbae1f23cbbeae17adb7b5b13f1f37c080e) - OpenMP 201511 (a.k.a. OpenMP 4.5) - LAPACK is enabled (usually provided by MKL) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.7 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 - CuDNN 8.5 - Magma 2.6.1 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.7, CUDNN_VERSION=8.5.0, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_DISABLE_GPU_ASSERTS=ON, TORCH_VERSION=2.0.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=1, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, TorchVision: 0.15.0+cu117 OpenCV: 4.8.1 MMCV: 1.5.0 MMCV Compiler: GCC 9.3 MMCV CUDA Compiler: 11.3 MMSegmentation: 0.27.0+a3118f0 ------------------------------------------------------------ 2024-01-03 17:09:18,175 - mmseg - INFO - Distributed training: True 2024-01-03 17:09:18,175 - mmseg - INFO - Config: Config (path: evaluation/configs/vitb_nyu_linear_norm5e-3_config.py): {'custom_imports': {'imports': ['evaluation.depth', 'evaluation.segmentation']}, 'dataset_type': 'NYUDataset', 'data_root': 'data/nyu', 'img_norm_cfg': {'mean': [123.675, 116.28, 103.53], 'std': [58.395, 57.12, 57.375], 'to_rgb': True}, 'crop_size': (416, 544), 'train_pipeline': [{'type': 'LoadImageFromFile'}, {'type': 'DepthLoadAnnotations'}, {'type': 'NYUCrop', 'depth': True}, {'type': 'RandomRotate', 'prob': 0.5, 'degree': 2.5}, {'type': 'RandomFlip', 'prob': 0.5}, {'type': 'RandomCrop', 'crop_size': (416, 544)}, {'type': 'ColorAug', 'prob': 0.5, 'gamma_range': [0.9, 1.1], 'brightness_range': [0.75, 1.25], 'color_range': [0.9, 1.1]}, {'type': 'Normalize', 'mean': [123.675, 116.28, 103.53], 'std': [58.395, 57.12, 57.375], 'to_rgb': True}, {'type': 'DefaultFormatBundle'}, {'type': 'Collect', 'keys': ['img', 'depth_gt'], 'meta_keys': ('filename', 'ori_filename', 'ori_shape', 'img_shape', 'pad_shape', 'scale_factor', 'flip', 'flip_direction', 'img_norm_cfg', 'cam_intrinsic')}], 'test_pipeline': [{'type': 'LoadImageFromFile'}, {'type': 'MultiScaleFlipAug', 'img_scale': (480, 640), 'flip': True, 'flip_direction': 'horizontal', 'transforms': [{'type': 'RandomFlip', 'direction': 'horizontal'}, {'type': 'Normalize', 'mean': [123.675, 116.28, 103.53], 'std': [58.395, 57.12, 57.375], 'to_rgb': True}, {'type': 'ImageToTensor', 'keys': ['img']}, {'type': 'Collect', 'keys': ['img'], 'meta_keys': ('filename', 'ori_filename', 'ori_shape', 'img_shape', 'pad_shape', 'scale_factor', 'flip', 'flip_direction', 'img_norm_cfg', 'cam_intrinsic')}]}], 'eval_pipeline': [{'type': 'LoadImageFromFile'}, {'type': 'RandomFlip', 'prob': 0.0}, {'type': 'Normalize', 'mean': [123.675, 116.28, 103.53], 'std': [58.395, 57.12, 57.375], 'to_rgb': True}, {'type': 'ImageToTensor', 'keys': ['img']}, {'type': 'Collect', 'keys': ['img'], 'meta_keys': ('filename', 'ori_filename', 'ori_shape', 'img_shape', 'pad_shape', 'scale_factor', 'flip', 'flip_direction', 'img_norm_cfg', 'cam_intrinsic')}], 'data': {'samples_per_gpu': 2, 'workers_per_gpu': 2, 'train': {'type': 'NYUDataset', 'data_root': 'data/nyu', 'depth_scale': 1000, 'split': 'nyu_train.txt', 'pipeline': [{'type': 'LoadImageFromFile'}, {'type': 'DepthLoadAnnotations'}, {'type': 'NYUCrop', 'depth': True}, {'type': 'RandomRotate', 'prob': 0.5, 'degree': 2.5}, {'type': 'RandomFlip', 'prob': 0.5}, {'type': 'RandomCrop', 'crop_size': (416, 544)}, {'type': 'ColorAug', 'prob': 0.5, 'gamma_range': [0.9, 1.1], 'brightness_range': [0.75, 1.25], 'color_range': [0.9, 1.1]}, {'type': 'Normalize', 'mean': [123.675, 116.28, 103.53], 'std': [58.395, 57.12, 57.375], 'to_rgb': True}, {'type': 'DefaultFormatBundle'}, {'type': 'Collect', 'keys': ['img', 'depth_gt'], 'meta_keys': ('filename', 'ori_filename', 'ori_shape', 'img_shape', 'pad_shape', 'scale_factor', 'flip', 'flip_direction', 'img_norm_cfg', 'cam_intrinsic')}], 'garg_crop': False, 'eigen_crop': True, 'min_depth': 0.001, 'max_depth': 10}, 'val': {'type': 'NYUDataset', 'data_root': 'data/nyu', 'depth_scale': 1000, 'split': 'nyu_test.txt', 'pipeline': [{'type': 'LoadImageFromFile'}, {'type': 'MultiScaleFlipAug', 'img_scale': (480, 640), 'flip': True, 'flip_direction': 'horizontal', 'transforms': [{'type': 'RandomFlip', 'direction': 'horizontal'}, {'type': 'Normalize', 'mean': [123.675, 116.28, 103.53], 'std': [58.395, 57.12, 57.375], 'to_rgb': True}, {'type': 'ImageToTensor', 'keys': ['img']}, {'type': 'Collect', 'keys': ['img'], 'meta_keys': ('filename', 'ori_filename', 'ori_shape', 'img_shape', 'pad_shape', 'scale_factor', 'flip', 'flip_direction', 'img_norm_cfg', 'cam_intrinsic')}]}], 'garg_crop': False, 'eigen_crop': True, 'min_depth': 0.001, 'max_depth': 10}, 'test': {'type': 'NYUDataset', 'data_root': 'data/nyu', 'depth_scale': 1000, 'split': 'nyu_test.txt', 'pipeline': [{'type': 'LoadImageFromFile'}, {'type': 'MultiScaleFlipAug', 'img_scale': (480, 640), 'flip': True, 'flip_direction': 'horizontal', 'transforms': [{'type': 'RandomFlip', 'direction': 'horizontal'}, {'type': 'Normalize', 'mean': [123.675, 116.28, 103.53], 'std': [58.395, 57.12, 57.375], 'to_rgb': True}, {'type': 'ImageToTensor', 'keys': ['img']}, {'type': 'Collect', 'keys': ['img'], 'meta_keys': ('filename', 'ori_filename', 'ori_shape', 'img_shape', 'pad_shape', 'scale_factor', 'flip', 'flip_direction', 'img_norm_cfg', 'cam_intrinsic')}]}], 'garg_crop': False, 'eigen_crop': True, 'min_depth': 0.001, 'max_depth': 10}}, 'log_config': {'interval': 50, 'hooks': [{'type': 'TextLoggerHook', 'by_epoch': False}]}, 'dist_params': {'backend': 'nccl'}, 'log_level': 'INFO', 'load_from': None, 'resume_from': '', 'workflow': [('train', 1)], 'cudnn_benchmark': True, 'model': {'type': 'DepthEncoderDecoder', 'backbone': {'type': 'DinoVisionTransformer', 'final_norm': True, 'with_cls_token': True, 'output_cls_token': True, 'frozen_stages': 100, 'out_indices': [11]}, 'decode_head': {'type': 'BNHead', 'norm_cfg': None, 'min_depth': 0.001, 'max_depth': 10, 'loss_decode': [{'type': 'SigLoss', 'valid_mask': True, 'loss_weight': 1.0, 'warm_up': True, 'loss_name': 'loss_depth'}, {'type': 'GradientLoss', 'valid_mask': True, 'loss_weight': 0.5, 'loss_name': 'loss_grad'}], 'classify': True, 'n_bins': 256, 'bins_strategy': 'UD', 'norm_strategy': 'linear', 'upsample': 4, 'in_channels': [768], 'in_index': [0], 'input_transform': 'resize_concat', 'channels': 1536, 'align_corners': False}, 'train_cfg': {}, 'test_cfg': {'mode': 'whole'}}, 'optimizer': {'type': 'AdamW', 'lr': 0.005, 'betas': (0.9, 0.999), 'weight_decay': 0.01, 'paramwise_cfg': {'custom_keys': {'pos_embed': {'decay_mult': 0.0}, 'cls_token': {'decay_mult': 0.0}, 'norm': {'decay_mult': 0.0}, 'backbone': {'lr_mult': 0.1}}}}, 'lr_config': {'policy': 'CosineAnnealing', 'warmup': 'linear', 'warmup_iters': 12800, 'warmup_ratio': 0.001, 'min_lr_ratio': 1e-08, 'by_epoch': False}, 'momentum_config': {'policy': 'OneCycle'}, 'optimizer_config': {'grad_clip': {'max_norm': 35, 'norm_type': 2}}, 'runner': {'type': 'IterBasedRunner', 'max_iters': 38400}, 'checkpoint_config': {'by_epoch': False, 'max_keep_ckpts': 2, 'interval': 1600}, 'evaluation': {'by_epoch': False, 'interval': 3200, 'pre_eval': True, 'rule': 'less', 'save_best': 'abs_rel', 'greater_keys': ('a1', 'a2', 'a3'), 'less_keys': ('abs_rel', 'rmse')}, 'work_dir': './work_dirs/depth_eval/nyu_paper/original/vit_base_patch14_dinov2.lvd142m', 'gpu_ids': range(0, 1)} 2024-01-03 17:09:23,079 - mmseg - INFO - Loading backbone from vit_base_patch14_dinov2.lvd142m 2024-01-03 17:09:23,100 - mmseg - INFO - DepthEncoderDecoder( (backbone): DinoVisionTransformer() (decode_head): BNHead( align_corners=False (loss_decode): ModuleList( (0): SigLoss() (1): GradientLoss() ) (softmax): Softmax(dim=1) (conv_depth): Conv2d(1536, 256, kernel_size=(1, 1), stride=(1, 1)) (relu): ReLU() (sigmoid): Sigmoid() ) ) 2024-01-03 17:09:23,171 - mmseg - INFO - Loaded 24231 images. Totally 0 invalid pairs are filtered 2024-01-03 17:09:23,717 - mmseg - INFO - Loaded 654 images. Totally 0 invalid pairs are filtered 2024-01-03 17:09:23,718 - mmseg - INFO - Start running, host: root, work_dir: ./work_dirs/depth_eval/nyu_paper/original/vit_base_patch14_dinov2.lvd142m 2024-01-03 17:09:23,718 - mmseg - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) CosineAnnealingLrUpdaterHook (HIGH ) OneCycleMomentumUpdaterHook (NORMAL ) CheckpointHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_train_epoch: (VERY_HIGH ) CosineAnnealingLrUpdaterHook (HIGH ) OneCycleMomentumUpdaterHook (LOW ) IterTimerHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_train_iter: (VERY_HIGH ) CosineAnnealingLrUpdaterHook (HIGH ) OneCycleMomentumUpdaterHook (LOW ) IterTimerHook (LOW ) DistEvalHook -------------------- after_train_iter: (ABOVE_NORMAL) OptimizerHook (NORMAL ) CheckpointHook (LOW ) IterTimerHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- after_train_epoch: (NORMAL ) CheckpointHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_val_epoch: (LOW ) IterTimerHook (VERY_LOW ) TextLoggerHook -------------------- before_val_iter: (LOW ) IterTimerHook -------------------- after_val_iter: (LOW ) IterTimerHook -------------------- after_val_epoch: (VERY_LOW ) TextLoggerHook -------------------- after_run: (VERY_LOW ) TextLoggerHook -------------------- 2024-01-03 17:09:23,718 - mmseg - INFO - workflow: [('train', 1)], max: 38400 iters 2024-01-03 17:09:23,718 - mmseg - INFO - Checkpoints will be saved to ./work_dirs/depth_eval/nyu_paper/original/vit_base_patch14_dinov2.lvd142m by HardDiskBackend. 2024-01-03 17:09:43,176 - mmseg - INFO - Iter [50/38400] lr: 2.412e-05, eta: 1:22:28, time: 0.129, data_time: 0.004, memory: 877, decode.loss_depth: 0.2329, decode.loss_grad: 0.0000, loss: 0.2329, grad_norm: 0.4271 2024-01-03 17:09:46,436 - mmseg - INFO - Iter [100/38400] lr: 4.363e-05, eta: 1:01:59, time: 0.065, data_time: 0.002, memory: 877, decode.loss_depth: 0.1024, decode.loss_grad: 0.0000, loss: 0.1024, grad_norm: 0.3458 2024-01-03 17:09:49,613 - mmseg - INFO - Iter [150/38400] lr: 6.314e-05, eta: 0:54:46, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.4140, decode.loss_grad: 0.0000, loss: 0.4140, grad_norm: 0.3239 2024-01-03 17:09:52,783 - mmseg - INFO - Iter [200/38400] lr: 8.265e-05, eta: 0:51:07, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.3310, decode.loss_grad: 0.0000, loss: 0.3310, grad_norm: 0.3031 2024-01-03 17:09:56,049 - mmseg - INFO - Iter [250/38400] lr: 1.022e-04, eta: 0:49:08, time: 0.065, data_time: 0.002, memory: 877, decode.loss_depth: 0.2624, decode.loss_grad: 0.0000, loss: 0.2624, grad_norm: 0.3248 2024-01-03 17:09:59,215 - mmseg - INFO - Iter [300/38400] lr: 1.217e-04, eta: 0:47:36, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.2268, decode.loss_grad: 0.0000, loss: 0.2268, grad_norm: 0.3119 2024-01-03 17:10:02,386 - mmseg - INFO - Iter [350/38400] lr: 1.412e-04, eta: 0:46:29, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.2083, decode.loss_grad: 0.0000, loss: 0.2083, grad_norm: 0.3146 2024-01-03 17:10:05,618 - mmseg - INFO - Iter [400/38400] lr: 1.607e-04, eta: 0:45:44, time: 0.065, data_time: 0.001, memory: 877, decode.loss_depth: 0.1907, decode.loss_grad: 0.0000, loss: 0.1907, grad_norm: 0.2978 2024-01-03 17:10:08,809 - mmseg - INFO - Iter [450/38400] lr: 1.802e-04, eta: 0:45:05, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.1827, decode.loss_grad: 0.0000, loss: 0.1827, grad_norm: 0.2924 2024-01-03 17:10:11,975 - mmseg - INFO - Iter [500/38400] lr: 1.996e-04, eta: 0:44:31, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.1810, decode.loss_grad: 0.0000, loss: 0.1810, grad_norm: 0.2909 2024-01-03 17:10:15,156 - mmseg - INFO - Iter [550/38400] lr: 2.191e-04, eta: 0:44:04, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.1770, decode.loss_grad: 0.0000, loss: 0.1770, grad_norm: 0.2810 2024-01-03 17:10:18,405 - mmseg - INFO - Iter [600/38400] lr: 2.386e-04, eta: 0:43:45, time: 0.065, data_time: 0.002, memory: 877, decode.loss_depth: 0.1689, decode.loss_grad: 0.0000, loss: 0.1689, grad_norm: 0.2792 2024-01-03 17:10:21,570 - mmseg - INFO - Iter [650/38400] lr: 2.581e-04, eta: 0:43:24, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.1703, decode.loss_grad: 0.0000, loss: 0.1703, grad_norm: 0.2874 2024-01-03 17:10:24,746 - mmseg - INFO - Iter [700/38400] lr: 2.775e-04, eta: 0:43:06, time: 0.064, data_time: 0.001, memory: 877, decode.loss_depth: 0.1629, decode.loss_grad: 0.0000, loss: 0.1629, grad_norm: 0.2742 2024-01-03 17:10:27,963 - mmseg - INFO - Iter [750/38400] lr: 2.970e-04, eta: 0:42:52, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.1578, decode.loss_grad: 0.0000, loss: 0.1578, grad_norm: 0.2733 2024-01-03 17:10:31,143 - mmseg - INFO - Iter [800/38400] lr: 3.165e-04, eta: 0:42:37, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.1602, decode.loss_grad: 0.0000, loss: 0.1602, grad_norm: 0.2645 2024-01-03 17:10:34,316 - mmseg - INFO - Iter [850/38400] lr: 3.359e-04, eta: 0:42:24, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.1536, decode.loss_grad: 0.0000, loss: 0.1536, grad_norm: 0.2640 2024-01-03 17:10:37,488 - mmseg - INFO - Iter [900/38400] lr: 3.553e-04, eta: 0:42:11, time: 0.063, data_time: 0.001, memory: 877, decode.loss_depth: 0.1529, decode.loss_grad: 0.0000, loss: 0.1529, grad_norm: 0.2489 2024-01-03 17:10:40,760 - mmseg - INFO - Iter [950/38400] lr: 3.748e-04, eta: 0:42:04, time: 0.065, data_time: 0.002, memory: 877, decode.loss_depth: 0.1519, decode.loss_grad: 0.0000, loss: 0.1519, grad_norm: 0.2503 2024-01-03 17:10:43,936 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:10:43,936 - mmseg - INFO - Iter [1000/38400] lr: 3.942e-04, eta: 0:41:53, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.1491, decode.loss_grad: 0.0000, loss: 0.1491, grad_norm: 0.2487 2024-01-03 17:10:47,125 - mmseg - INFO - Iter [1050/38400] lr: 4.136e-04, eta: 0:41:44, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.1479, decode.loss_grad: 0.0000, loss: 0.1479, grad_norm: 0.2448 2024-01-03 17:10:50,291 - mmseg - INFO - Iter [1100/38400] lr: 4.330e-04, eta: 0:41:34, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.1493, decode.loss_grad: 0.0000, loss: 0.1493, grad_norm: 0.2295 2024-01-03 17:10:53,465 - mmseg - INFO - Iter [1150/38400] lr: 4.524e-04, eta: 0:41:25, time: 0.063, data_time: 0.001, memory: 877, decode.loss_depth: 0.1495, decode.loss_grad: 0.0000, loss: 0.1495, grad_norm: 0.2421 2024-01-03 17:10:56,648 - mmseg - INFO - Iter [1200/38400] lr: 4.718e-04, eta: 0:41:17, time: 0.064, data_time: 0.001, memory: 877, decode.loss_depth: 0.1425, decode.loss_grad: 0.0000, loss: 0.1425, grad_norm: 0.2438 2024-01-03 17:10:59,907 - mmseg - INFO - Iter [1250/38400] lr: 4.911e-04, eta: 0:41:12, time: 0.065, data_time: 0.002, memory: 877, decode.loss_depth: 0.1478, decode.loss_grad: 0.0000, loss: 0.1478, grad_norm: 0.2307 2024-01-03 17:11:03,086 - mmseg - INFO - Iter [1300/38400] lr: 5.105e-04, eta: 0:41:04, time: 0.064, data_time: 0.001, memory: 877, decode.loss_depth: 0.1440, decode.loss_grad: 0.0000, loss: 0.1440, grad_norm: 0.2246 2024-01-03 17:11:06,254 - mmseg - INFO - Iter [1350/38400] lr: 5.298e-04, eta: 0:40:56, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.1452, decode.loss_grad: 0.0000, loss: 0.1452, grad_norm: 0.2239 2024-01-03 17:11:09,427 - mmseg - INFO - Iter [1400/38400] lr: 5.491e-04, eta: 0:40:49, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.1419, decode.loss_grad: 0.0000, loss: 0.1419, grad_norm: 0.2114 2024-01-03 17:11:12,616 - mmseg - INFO - Iter [1450/38400] lr: 5.684e-04, eta: 0:40:43, time: 0.064, data_time: 0.001, memory: 877, decode.loss_depth: 0.1401, decode.loss_grad: 0.0000, loss: 0.1401, grad_norm: 0.2230 2024-01-03 17:11:15,816 - mmseg - INFO - Iter [1500/38400] lr: 5.877e-04, eta: 0:40:37, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.1393, decode.loss_grad: 0.0000, loss: 0.1393, grad_norm: 0.2119 2024-01-03 17:11:21,001 - mmseg - INFO - Iter [1550/38400] lr: 6.070e-04, eta: 0:41:19, time: 0.104, data_time: 0.043, memory: 877, decode.loss_depth: 0.1404, decode.loss_grad: 0.0000, loss: 0.1404, grad_norm: 0.2227 2024-01-03 17:11:24,068 - mmseg - INFO - Saving checkpoint at 1600 iterations 2024-01-03 17:11:24,086 - mmseg - INFO - Iter [1600/38400] lr: 6.263e-04, eta: 0:41:09, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1381, decode.loss_grad: 0.0000, loss: 0.1381, grad_norm: 0.2041 2024-01-03 17:11:27,169 - mmseg - INFO - Iter [1650/38400] lr: 6.456e-04, eta: 0:40:59, time: 0.062, data_time: 0.001, memory: 877, decode.loss_depth: 0.1361, decode.loss_grad: 0.0000, loss: 0.1361, grad_norm: 0.2047 2024-01-03 17:11:30,257 - mmseg - INFO - Iter [1700/38400] lr: 6.648e-04, eta: 0:40:50, time: 0.062, data_time: 0.001, memory: 877, decode.loss_depth: 0.1333, decode.loss_grad: 0.0000, loss: 0.1333, grad_norm: 0.1885 2024-01-03 17:11:33,355 - mmseg - INFO - Iter [1750/38400] lr: 6.840e-04, eta: 0:40:42, time: 0.062, data_time: 0.001, memory: 877, decode.loss_depth: 0.1381, decode.loss_grad: 0.0000, loss: 0.1381, grad_norm: 0.1997 2024-01-03 17:11:36,422 - mmseg - INFO - Iter [1800/38400] lr: 7.032e-04, eta: 0:40:33, time: 0.061, data_time: 0.001, memory: 877, decode.loss_depth: 0.1341, decode.loss_grad: 0.0000, loss: 0.1341, grad_norm: 0.2013 2024-01-03 17:11:39,502 - mmseg - INFO - Iter [1850/38400] lr: 7.224e-04, eta: 0:40:25, time: 0.062, data_time: 0.001, memory: 877, decode.loss_depth: 0.1387, decode.loss_grad: 0.0000, loss: 0.1387, grad_norm: 0.1883 2024-01-03 17:11:42,771 - mmseg - INFO - Iter [1900/38400] lr: 7.416e-04, eta: 0:40:21, time: 0.065, data_time: 0.002, memory: 877, decode.loss_depth: 0.1375, decode.loss_grad: 0.0000, loss: 0.1375, grad_norm: 0.1940 2024-01-03 17:11:45,862 - mmseg - INFO - Iter [1950/38400] lr: 7.607e-04, eta: 0:40:13, time: 0.062, data_time: 0.001, memory: 877, decode.loss_depth: 0.1312, decode.loss_grad: 0.0000, loss: 0.1312, grad_norm: 0.1841 2024-01-03 17:11:48,947 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:11:48,947 - mmseg - INFO - Iter [2000/38400] lr: 7.798e-04, eta: 0:40:06, time: 0.062, data_time: 0.001, memory: 877, decode.loss_depth: 0.1316, decode.loss_grad: 0.0000, loss: 0.1316, grad_norm: 0.1788 2024-01-03 17:11:52,032 - mmseg - INFO - Iter [2050/38400] lr: 7.990e-04, eta: 0:39:59, time: 0.062, data_time: 0.001, memory: 877, decode.loss_depth: 0.1316, decode.loss_grad: 0.0000, loss: 0.1316, grad_norm: 0.1779 2024-01-03 17:11:55,131 - mmseg - INFO - Iter [2100/38400] lr: 8.180e-04, eta: 0:39:52, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1312, decode.loss_grad: 0.0000, loss: 0.1312, grad_norm: 0.1773 2024-01-03 17:11:58,232 - mmseg - INFO - Iter [2150/38400] lr: 8.371e-04, eta: 0:39:45, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1318, decode.loss_grad: 0.0000, loss: 0.1318, grad_norm: 0.1745 2024-01-03 17:12:01,328 - mmseg - INFO - Iter [2200/38400] lr: 8.562e-04, eta: 0:39:39, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1290, decode.loss_grad: 0.0000, loss: 0.1290, grad_norm: 0.1665 2024-01-03 17:12:04,419 - mmseg - INFO - Iter [2250/38400] lr: 8.752e-04, eta: 0:39:32, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1293, decode.loss_grad: 0.0000, loss: 0.1293, grad_norm: 0.1671 2024-01-03 17:12:07,512 - mmseg - INFO - Iter [2300/38400] lr: 8.942e-04, eta: 0:39:26, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1300, decode.loss_grad: 0.0000, loss: 0.1300, grad_norm: 0.1676 2024-01-03 17:12:10,618 - mmseg - INFO - Iter [2350/38400] lr: 9.132e-04, eta: 0:39:20, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1295, decode.loss_grad: 0.0000, loss: 0.1295, grad_norm: 0.1653 2024-01-03 17:12:13,726 - mmseg - INFO - Iter [2400/38400] lr: 9.321e-04, eta: 0:39:14, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1283, decode.loss_grad: 0.0000, loss: 0.1283, grad_norm: 0.1646 2024-01-03 17:12:16,827 - mmseg - INFO - Iter [2450/38400] lr: 9.511e-04, eta: 0:39:09, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1285, decode.loss_grad: 0.0000, loss: 0.1285, grad_norm: 0.1604 2024-01-03 17:12:19,924 - mmseg - INFO - Iter [2500/38400] lr: 9.700e-04, eta: 0:39:03, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1333, decode.loss_grad: 0.0000, loss: 0.1333, grad_norm: 0.1679 2024-01-03 17:12:23,035 - mmseg - INFO - Iter [2550/38400] lr: 9.889e-04, eta: 0:38:58, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1276, decode.loss_grad: 0.0000, loss: 0.1276, grad_norm: 0.1593 2024-01-03 17:12:26,189 - mmseg - INFO - Iter [2600/38400] lr: 1.008e-03, eta: 0:38:53, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.1268, decode.loss_grad: 0.0000, loss: 0.1268, grad_norm: 0.1588 2024-01-03 17:12:29,271 - mmseg - INFO - Iter [2650/38400] lr: 1.027e-03, eta: 0:38:47, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1332, decode.loss_grad: 0.0000, loss: 0.1332, grad_norm: 0.1647 2024-01-03 17:12:32,351 - mmseg - INFO - Iter [2700/38400] lr: 1.045e-03, eta: 0:38:42, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1305, decode.loss_grad: 0.0000, loss: 0.1305, grad_norm: 0.1583 2024-01-03 17:12:35,429 - mmseg - INFO - Iter [2750/38400] lr: 1.064e-03, eta: 0:38:36, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1300, decode.loss_grad: 0.0000, loss: 0.1300, grad_norm: 0.1585 2024-01-03 17:12:38,508 - mmseg - INFO - Iter [2800/38400] lr: 1.083e-03, eta: 0:38:31, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1288, decode.loss_grad: 0.0000, loss: 0.1288, grad_norm: 0.1575 2024-01-03 17:12:41,601 - mmseg - INFO - Iter [2850/38400] lr: 1.102e-03, eta: 0:38:25, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1246, decode.loss_grad: 0.0000, loss: 0.1246, grad_norm: 0.1388 2024-01-03 17:12:44,677 - mmseg - INFO - Iter [2900/38400] lr: 1.120e-03, eta: 0:38:20, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1265, decode.loss_grad: 0.0000, loss: 0.1265, grad_norm: 0.1377 2024-01-03 17:12:47,767 - mmseg - INFO - Iter [2950/38400] lr: 1.139e-03, eta: 0:38:15, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1230, decode.loss_grad: 0.0000, loss: 0.1230, grad_norm: 0.1366 2024-01-03 17:12:50,848 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:12:50,848 - mmseg - INFO - Iter [3000/38400] lr: 1.158e-03, eta: 0:38:10, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1228, decode.loss_grad: 0.0000, loss: 0.1228, grad_norm: 0.1406 2024-01-03 17:12:55,989 - mmseg - INFO - Iter [3050/38400] lr: 1.176e-03, eta: 0:38:29, time: 0.103, data_time: 0.043, memory: 877, decode.loss_depth: 0.1247, decode.loss_grad: 0.0000, loss: 0.1247, grad_norm: 0.1385 2024-01-03 17:12:59,068 - mmseg - INFO - Iter [3100/38400] lr: 1.195e-03, eta: 0:38:24, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1243, decode.loss_grad: 0.0000, loss: 0.1243, grad_norm: 0.1305 2024-01-03 17:13:02,140 - mmseg - INFO - Iter [3150/38400] lr: 1.213e-03, eta: 0:38:18, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.1225, decode.loss_grad: 0.0000, loss: 0.1225, grad_norm: 0.1397 2024-01-03 17:13:05,217 - mmseg - INFO - Saving checkpoint at 3200 iterations 2024-01-03 17:13:05,229 - mmseg - INFO - Iter [3200/38400] lr: 1.232e-03, eta: 0:38:13, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1213, decode.loss_grad: 0.0000, loss: 0.1213, grad_norm: 0.1333 2024-01-03 17:13:22,274 - mmseg - INFO - Summary: 2024-01-03 17:13:22,275 - mmseg - INFO - +--------+--------+--------+---------+-------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+-------+--------+----------+---------+--------+ | 0.8519 | 0.9798 | 0.9967 | 0.1309 | 0.423 | 0.0536 | 0.1546 | 11.9606 | 0.0771 | +--------+--------+--------+---------+-------+--------+----------+---------+--------+ 2024-01-03 17:13:22,285 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_3200.pth. 2024-01-03 17:13:22,285 - mmseg - INFO - Best abs_rel is 0.1309 at 3200 iter. 2024-01-03 17:13:22,285 - mmseg - INFO - Iter(val) [82] a1: 0.8519, a2: 0.9798, a3: 0.9967, abs_rel: 0.13087470829486847, rmse: 0.4229590594768524, log_10: 0.05364950746297836, rmse_log: 0.15457557141780853, silog: 11.9606, sq_rel: 0.07705982774496078 2024-01-03 17:13:25,360 - mmseg - INFO - Iter [3250/38400] lr: 1.251e-03, eta: 0:41:12, time: 0.403, data_time: 0.343, memory: 877, decode.loss_depth: 0.1209, decode.loss_grad: 0.0000, loss: 0.1209, grad_norm: 0.1260 2024-01-03 17:13:28,463 - mmseg - INFO - Iter [3300/38400] lr: 1.269e-03, eta: 0:41:04, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1243, decode.loss_grad: 0.0000, loss: 0.1243, grad_norm: 0.1340 2024-01-03 17:13:31,568 - mmseg - INFO - Iter [3350/38400] lr: 1.287e-03, eta: 0:40:56, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1225, decode.loss_grad: 0.0000, loss: 0.1225, grad_norm: 0.1278 2024-01-03 17:13:34,675 - mmseg - INFO - Iter [3400/38400] lr: 1.306e-03, eta: 0:40:49, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1227, decode.loss_grad: 0.0000, loss: 0.1227, grad_norm: 0.1263 2024-01-03 17:13:37,771 - mmseg - INFO - Iter [3450/38400] lr: 1.324e-03, eta: 0:40:41, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1245, decode.loss_grad: 0.0000, loss: 0.1245, grad_norm: 0.1245 2024-01-03 17:13:40,870 - mmseg - INFO - Iter [3500/38400] lr: 1.343e-03, eta: 0:40:34, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1216, decode.loss_grad: 0.0000, loss: 0.1216, grad_norm: 0.1211 2024-01-03 17:13:43,939 - mmseg - INFO - Iter [3550/38400] lr: 1.361e-03, eta: 0:40:26, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.1223, decode.loss_grad: 0.0000, loss: 0.1223, grad_norm: 0.1245 2024-01-03 17:13:47,032 - mmseg - INFO - Iter [3600/38400] lr: 1.379e-03, eta: 0:40:19, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1224, decode.loss_grad: 0.0000, loss: 0.1224, grad_norm: 0.1188 2024-01-03 17:13:50,210 - mmseg - INFO - Iter [3650/38400] lr: 1.397e-03, eta: 0:40:13, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.1187, decode.loss_grad: 0.0000, loss: 0.1187, grad_norm: 0.1132 2024-01-03 17:13:53,284 - mmseg - INFO - Iter [3700/38400] lr: 1.416e-03, eta: 0:40:06, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.1215, decode.loss_grad: 0.0000, loss: 0.1215, grad_norm: 0.1150 2024-01-03 17:13:56,363 - mmseg - INFO - Iter [3750/38400] lr: 1.434e-03, eta: 0:39:58, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1194, decode.loss_grad: 0.0000, loss: 0.1194, grad_norm: 0.1131 2024-01-03 17:13:59,442 - mmseg - INFO - Iter [3800/38400] lr: 1.452e-03, eta: 0:39:52, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1208, decode.loss_grad: 0.0000, loss: 0.1208, grad_norm: 0.1113 2024-01-03 17:14:02,565 - mmseg - INFO - Iter [3850/38400] lr: 1.470e-03, eta: 0:39:45, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1187, decode.loss_grad: 0.0000, loss: 0.1187, grad_norm: 0.1098 2024-01-03 17:14:05,650 - mmseg - INFO - Iter [3900/38400] lr: 1.488e-03, eta: 0:39:38, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1213, decode.loss_grad: 0.0000, loss: 0.1213, grad_norm: 0.1098 2024-01-03 17:14:08,721 - mmseg - INFO - Iter [3950/38400] lr: 1.506e-03, eta: 0:39:32, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.1205, decode.loss_grad: 0.0000, loss: 0.1205, grad_norm: 0.1101 2024-01-03 17:14:11,843 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:14:11,843 - mmseg - INFO - Iter [4000/38400] lr: 1.524e-03, eta: 0:39:25, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1170, decode.loss_grad: 0.0000, loss: 0.1170, grad_norm: 0.1060 2024-01-03 17:14:14,927 - mmseg - INFO - Iter [4050/38400] lr: 1.542e-03, eta: 0:39:19, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1176, decode.loss_grad: 0.0000, loss: 0.1176, grad_norm: 0.1089 2024-01-03 17:14:18,016 - mmseg - INFO - Iter [4100/38400] lr: 1.560e-03, eta: 0:39:13, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1186, decode.loss_grad: 0.0000, loss: 0.1186, grad_norm: 0.1082 2024-01-03 17:14:21,099 - mmseg - INFO - Iter [4150/38400] lr: 1.578e-03, eta: 0:39:06, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1194, decode.loss_grad: 0.0000, loss: 0.1194, grad_norm: 0.1035 2024-01-03 17:14:24,191 - mmseg - INFO - Iter [4200/38400] lr: 1.596e-03, eta: 0:39:00, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1197, decode.loss_grad: 0.0000, loss: 0.1197, grad_norm: 0.1024 2024-01-03 17:14:27,275 - mmseg - INFO - Iter [4250/38400] lr: 1.613e-03, eta: 0:38:54, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1168, decode.loss_grad: 0.0000, loss: 0.1168, grad_norm: 0.1029 2024-01-03 17:14:30,347 - mmseg - INFO - Iter [4300/38400] lr: 1.631e-03, eta: 0:38:48, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.1184, decode.loss_grad: 0.0000, loss: 0.1184, grad_norm: 0.1041 2024-01-03 17:14:33,417 - mmseg - INFO - Iter [4350/38400] lr: 1.649e-03, eta: 0:38:42, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.1151, decode.loss_grad: 0.0000, loss: 0.1151, grad_norm: 0.0974 2024-01-03 17:14:36,506 - mmseg - INFO - Iter [4400/38400] lr: 1.666e-03, eta: 0:38:36, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1204, decode.loss_grad: 0.0000, loss: 0.1204, grad_norm: 0.1058 2024-01-03 17:14:39,589 - mmseg - INFO - Iter [4450/38400] lr: 1.684e-03, eta: 0:38:30, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1201, decode.loss_grad: 0.0000, loss: 0.1201, grad_norm: 0.0994 2024-01-03 17:14:42,680 - mmseg - INFO - Iter [4500/38400] lr: 1.702e-03, eta: 0:38:24, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1188, decode.loss_grad: 0.0000, loss: 0.1188, grad_norm: 0.0987 2024-01-03 17:14:47,864 - mmseg - INFO - Iter [4550/38400] lr: 1.719e-03, eta: 0:38:34, time: 0.104, data_time: 0.043, memory: 877, decode.loss_depth: 0.1175, decode.loss_grad: 0.0000, loss: 0.1175, grad_norm: 0.1017 2024-01-03 17:14:50,952 - mmseg - INFO - Iter [4600/38400] lr: 1.737e-03, eta: 0:38:28, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1164, decode.loss_grad: 0.0000, loss: 0.1164, grad_norm: 0.0926 2024-01-03 17:14:54,022 - mmseg - INFO - Iter [4650/38400] lr: 1.754e-03, eta: 0:38:22, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.1186, decode.loss_grad: 0.0000, loss: 0.1186, grad_norm: 0.0930 2024-01-03 17:14:57,129 - mmseg - INFO - Iter [4700/38400] lr: 1.772e-03, eta: 0:38:17, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1180, decode.loss_grad: 0.0000, loss: 0.1180, grad_norm: 0.0941 2024-01-03 17:15:00,229 - mmseg - INFO - Iter [4750/38400] lr: 1.789e-03, eta: 0:38:11, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1152, decode.loss_grad: 0.0000, loss: 0.1152, grad_norm: 0.0887 2024-01-03 17:15:03,296 - mmseg - INFO - Saving checkpoint at 4800 iterations 2024-01-03 17:15:03,310 - mmseg - INFO - Iter [4800/38400] lr: 1.806e-03, eta: 0:38:06, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1169, decode.loss_grad: 0.0000, loss: 0.1169, grad_norm: 0.0904 2024-01-03 17:15:06,399 - mmseg - INFO - Iter [4850/38400] lr: 1.824e-03, eta: 0:38:00, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1152, decode.loss_grad: 0.0000, loss: 0.1152, grad_norm: 0.0880 2024-01-03 17:15:09,498 - mmseg - INFO - Iter [4900/38400] lr: 1.841e-03, eta: 0:37:54, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1154, decode.loss_grad: 0.0000, loss: 0.1154, grad_norm: 0.0882 2024-01-03 17:15:12,582 - mmseg - INFO - Iter [4950/38400] lr: 1.858e-03, eta: 0:37:49, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1149, decode.loss_grad: 0.0000, loss: 0.1149, grad_norm: 0.0892 2024-01-03 17:15:15,744 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:15:15,744 - mmseg - INFO - Iter [5000/38400] lr: 1.875e-03, eta: 0:37:44, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.1137, decode.loss_grad: 0.0000, loss: 0.1137, grad_norm: 0.0861 2024-01-03 17:15:18,832 - mmseg - INFO - Iter [5050/38400] lr: 1.892e-03, eta: 0:37:39, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1104, decode.loss_grad: 0.0000, loss: 0.1104, grad_norm: 0.0835 2024-01-03 17:15:21,940 - mmseg - INFO - Iter [5100/38400] lr: 1.909e-03, eta: 0:37:33, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1164, decode.loss_grad: 0.0000, loss: 0.1164, grad_norm: 0.0841 2024-01-03 17:15:25,040 - mmseg - INFO - Iter [5150/38400] lr: 1.926e-03, eta: 0:37:28, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1141, decode.loss_grad: 0.0000, loss: 0.1141, grad_norm: 0.0851 2024-01-03 17:15:28,132 - mmseg - INFO - Iter [5200/38400] lr: 1.943e-03, eta: 0:37:23, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1176, decode.loss_grad: 0.0000, loss: 0.1176, grad_norm: 0.0838 2024-01-03 17:15:31,222 - mmseg - INFO - Iter [5250/38400] lr: 1.960e-03, eta: 0:37:18, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1169, decode.loss_grad: 0.0000, loss: 0.1169, grad_norm: 0.0876 2024-01-03 17:15:34,295 - mmseg - INFO - Iter [5300/38400] lr: 1.977e-03, eta: 0:37:13, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.1154, decode.loss_grad: 0.0000, loss: 0.1154, grad_norm: 0.0784 2024-01-03 17:15:37,385 - mmseg - INFO - Iter [5350/38400] lr: 1.994e-03, eta: 0:37:07, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1122, decode.loss_grad: 0.0000, loss: 0.1122, grad_norm: 0.0813 2024-01-03 17:15:40,466 - mmseg - INFO - Iter [5400/38400] lr: 2.011e-03, eta: 0:37:02, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1165, decode.loss_grad: 0.0000, loss: 0.1165, grad_norm: 0.0834 2024-01-03 17:15:43,547 - mmseg - INFO - Iter [5450/38400] lr: 2.027e-03, eta: 0:36:57, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1124, decode.loss_grad: 0.0000, loss: 0.1124, grad_norm: 0.0776 2024-01-03 17:15:46,619 - mmseg - INFO - Iter [5500/38400] lr: 2.044e-03, eta: 0:36:52, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.1149, decode.loss_grad: 0.0000, loss: 0.1149, grad_norm: 0.0815 2024-01-03 17:15:49,699 - mmseg - INFO - Iter [5550/38400] lr: 2.060e-03, eta: 0:36:47, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1120, decode.loss_grad: 0.0000, loss: 0.1120, grad_norm: 0.0753 2024-01-03 17:15:52,785 - mmseg - INFO - Iter [5600/38400] lr: 2.077e-03, eta: 0:36:42, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1138, decode.loss_grad: 0.0000, loss: 0.1138, grad_norm: 0.0771 2024-01-03 17:15:55,877 - mmseg - INFO - Iter [5650/38400] lr: 2.094e-03, eta: 0:36:37, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1142, decode.loss_grad: 0.0000, loss: 0.1142, grad_norm: 0.0786 2024-01-03 17:15:58,951 - mmseg - INFO - Iter [5700/38400] lr: 2.110e-03, eta: 0:36:32, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.1122, decode.loss_grad: 0.0000, loss: 0.1122, grad_norm: 0.0730 2024-01-03 17:16:02,034 - mmseg - INFO - Iter [5750/38400] lr: 2.126e-03, eta: 0:36:27, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1134, decode.loss_grad: 0.0000, loss: 0.1134, grad_norm: 0.0693 2024-01-03 17:16:05,117 - mmseg - INFO - Iter [5800/38400] lr: 2.143e-03, eta: 0:36:22, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1104, decode.loss_grad: 0.0000, loss: 0.1104, grad_norm: 0.0704 2024-01-03 17:16:08,215 - mmseg - INFO - Iter [5850/38400] lr: 2.159e-03, eta: 0:36:18, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1136, decode.loss_grad: 0.0000, loss: 0.1136, grad_norm: 0.0715 2024-01-03 17:16:11,314 - mmseg - INFO - Iter [5900/38400] lr: 2.175e-03, eta: 0:36:13, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1116, decode.loss_grad: 0.0000, loss: 0.1116, grad_norm: 0.0721 2024-01-03 17:16:14,409 - mmseg - INFO - Iter [5950/38400] lr: 2.191e-03, eta: 0:36:08, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1114, decode.loss_grad: 0.0000, loss: 0.1114, grad_norm: 0.0729 2024-01-03 17:16:17,497 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:16:17,497 - mmseg - INFO - Iter [6000/38400] lr: 2.208e-03, eta: 0:36:04, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1148, decode.loss_grad: 0.0000, loss: 0.1148, grad_norm: 0.0749 2024-01-03 17:16:20,610 - mmseg - INFO - Iter [6050/38400] lr: 2.224e-03, eta: 0:35:59, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1115, decode.loss_grad: 0.0000, loss: 0.1115, grad_norm: 0.0696 2024-01-03 17:16:25,755 - mmseg - INFO - Iter [6100/38400] lr: 2.240e-03, eta: 0:36:05, time: 0.103, data_time: 0.042, memory: 877, decode.loss_depth: 0.1108, decode.loss_grad: 0.0000, loss: 0.1108, grad_norm: 0.0704 2024-01-03 17:16:28,820 - mmseg - INFO - Iter [6150/38400] lr: 2.256e-03, eta: 0:36:00, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.1122, decode.loss_grad: 0.0000, loss: 0.1122, grad_norm: 0.0695 2024-01-03 17:16:31,924 - mmseg - INFO - Iter [6200/38400] lr: 2.272e-03, eta: 0:35:56, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1048, decode.loss_grad: 0.0000, loss: 0.1048, grad_norm: 0.0607 2024-01-03 17:16:35,001 - mmseg - INFO - Iter [6250/38400] lr: 2.287e-03, eta: 0:35:51, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1106, decode.loss_grad: 0.0000, loss: 0.1106, grad_norm: 0.0682 2024-01-03 17:16:38,108 - mmseg - INFO - Iter [6300/38400] lr: 2.303e-03, eta: 0:35:46, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1088, decode.loss_grad: 0.0000, loss: 0.1088, grad_norm: 0.0672 2024-01-03 17:16:41,187 - mmseg - INFO - Iter [6350/38400] lr: 2.319e-03, eta: 0:35:42, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1110, decode.loss_grad: 0.0000, loss: 0.1110, grad_norm: 0.0663 2024-01-03 17:16:44,252 - mmseg - INFO - Saving checkpoint at 6400 iterations 2024-01-03 17:16:44,268 - mmseg - INFO - Iter [6400/38400] lr: 2.335e-03, eta: 0:35:37, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1121, decode.loss_grad: 0.0000, loss: 0.1121, grad_norm: 0.0681 2024-01-03 17:16:50,154 - mmseg - INFO - Summary: 2024-01-03 17:16:50,155 - mmseg - INFO - +--------+-------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+-------+--------+---------+--------+--------+----------+---------+--------+ | 0.8422 | 0.981 | 0.9977 | 0.1358 | 0.4442 | 0.0552 | 0.1574 | 11.7939 | 0.0816 | +--------+-------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:16:50,155 - mmseg - INFO - Iter(val) [82] a1: 0.8422, a2: 0.9810, a3: 0.9977, abs_rel: 0.13582687079906464, rmse: 0.4442039132118225, log_10: 0.05524240434169769, rmse_log: 0.15740598738193512, silog: 11.7939, sq_rel: 0.08163301646709442 2024-01-03 17:16:53,224 - mmseg - INFO - Iter [6450/38400] lr: 2.350e-03, eta: 0:36:02, time: 0.179, data_time: 0.119, memory: 877, decode.loss_depth: 0.1104, decode.loss_grad: 0.0000, loss: 0.1104, grad_norm: 0.0679 2024-01-03 17:16:56,302 - mmseg - INFO - Iter [6500/38400] lr: 2.366e-03, eta: 0:35:57, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1114, decode.loss_grad: 0.0000, loss: 0.1114, grad_norm: 0.0667 2024-01-03 17:16:59,380 - mmseg - INFO - Iter [6550/38400] lr: 2.381e-03, eta: 0:35:52, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1119, decode.loss_grad: 0.0000, loss: 0.1119, grad_norm: 0.0669 2024-01-03 17:17:02,469 - mmseg - INFO - Iter [6600/38400] lr: 2.397e-03, eta: 0:35:47, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1088, decode.loss_grad: 0.0000, loss: 0.1088, grad_norm: 0.0647 2024-01-03 17:17:05,562 - mmseg - INFO - Iter [6650/38400] lr: 2.412e-03, eta: 0:35:42, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1114, decode.loss_grad: 0.0000, loss: 0.1114, grad_norm: 0.0626 2024-01-03 17:17:08,667 - mmseg - INFO - Iter [6700/38400] lr: 2.427e-03, eta: 0:35:38, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1096, decode.loss_grad: 0.0000, loss: 0.1096, grad_norm: 0.0618 2024-01-03 17:17:11,759 - mmseg - INFO - Iter [6750/38400] lr: 2.443e-03, eta: 0:35:33, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1094, decode.loss_grad: 0.0000, loss: 0.1094, grad_norm: 0.0599 2024-01-03 17:17:14,833 - mmseg - INFO - Iter [6800/38400] lr: 2.458e-03, eta: 0:35:28, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.1080, decode.loss_grad: 0.0000, loss: 0.1080, grad_norm: 0.0648 2024-01-03 17:17:17,927 - mmseg - INFO - Iter [6850/38400] lr: 2.473e-03, eta: 0:35:24, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1118, decode.loss_grad: 0.0000, loss: 0.1118, grad_norm: 0.0611 2024-01-03 17:17:21,016 - mmseg - INFO - Iter [6900/38400] lr: 2.488e-03, eta: 0:35:19, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1092, decode.loss_grad: 0.0000, loss: 0.1092, grad_norm: 0.0589 2024-01-03 17:17:24,089 - mmseg - INFO - Iter [6950/38400] lr: 2.503e-03, eta: 0:35:14, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.1105, decode.loss_grad: 0.0000, loss: 0.1105, grad_norm: 0.0621 2024-01-03 17:17:27,175 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:17:27,176 - mmseg - INFO - Iter [7000/38400] lr: 2.518e-03, eta: 0:35:10, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1112, decode.loss_grad: 0.0000, loss: 0.1112, grad_norm: 0.0598 2024-01-03 17:17:30,269 - mmseg - INFO - Iter [7050/38400] lr: 2.533e-03, eta: 0:35:05, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1139, decode.loss_grad: 0.0000, loss: 0.1139, grad_norm: 0.0585 2024-01-03 17:17:33,379 - mmseg - INFO - Iter [7100/38400] lr: 2.548e-03, eta: 0:35:01, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1082, decode.loss_grad: 0.0000, loss: 0.1082, grad_norm: 0.0580 2024-01-03 17:17:36,493 - mmseg - INFO - Iter [7150/38400] lr: 2.563e-03, eta: 0:34:56, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1106, decode.loss_grad: 0.0000, loss: 0.1106, grad_norm: 0.0598 2024-01-03 17:17:39,597 - mmseg - INFO - Iter [7200/38400] lr: 2.577e-03, eta: 0:34:52, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1099, decode.loss_grad: 0.0000, loss: 0.1099, grad_norm: 0.0575 2024-01-03 17:17:42,667 - mmseg - INFO - Iter [7250/38400] lr: 2.592e-03, eta: 0:34:47, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.1124, decode.loss_grad: 0.0000, loss: 0.1124, grad_norm: 0.0589 2024-01-03 17:17:45,764 - mmseg - INFO - Iter [7300/38400] lr: 2.606e-03, eta: 0:34:43, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1115, decode.loss_grad: 0.0000, loss: 0.1115, grad_norm: 0.0562 2024-01-03 17:17:48,840 - mmseg - INFO - Iter [7350/38400] lr: 2.621e-03, eta: 0:34:38, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1090, decode.loss_grad: 0.0000, loss: 0.1090, grad_norm: 0.0583 2024-01-03 17:17:51,924 - mmseg - INFO - Iter [7400/38400] lr: 2.635e-03, eta: 0:34:34, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1091, decode.loss_grad: 0.0000, loss: 0.1091, grad_norm: 0.0541 2024-01-03 17:17:54,999 - mmseg - INFO - Iter [7450/38400] lr: 2.650e-03, eta: 0:34:29, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.1108, decode.loss_grad: 0.0000, loss: 0.1108, grad_norm: 0.0553 2024-01-03 17:17:58,091 - mmseg - INFO - Iter [7500/38400] lr: 2.664e-03, eta: 0:34:25, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1103, decode.loss_grad: 0.0000, loss: 0.1103, grad_norm: 0.0569 2024-01-03 17:18:01,200 - mmseg - INFO - Iter [7550/38400] lr: 2.678e-03, eta: 0:34:21, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1096, decode.loss_grad: 0.0000, loss: 0.1096, grad_norm: 0.0556 2024-01-03 17:18:06,395 - mmseg - INFO - Iter [7600/38400] lr: 2.693e-03, eta: 0:34:25, time: 0.104, data_time: 0.043, memory: 877, decode.loss_depth: 0.1102, decode.loss_grad: 0.0000, loss: 0.1102, grad_norm: 0.0523 2024-01-03 17:18:09,480 - mmseg - INFO - Iter [7650/38400] lr: 2.707e-03, eta: 0:34:20, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1016, decode.loss_grad: 0.0000, loss: 0.1016, grad_norm: 0.0516 2024-01-03 17:18:12,536 - mmseg - INFO - Iter [7700/38400] lr: 2.721e-03, eta: 0:34:16, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.1071, decode.loss_grad: 0.0000, loss: 0.1071, grad_norm: 0.0509 2024-01-03 17:18:15,627 - mmseg - INFO - Iter [7750/38400] lr: 2.735e-03, eta: 0:34:12, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1051, decode.loss_grad: 0.0000, loss: 0.1051, grad_norm: 0.0511 2024-01-03 17:18:18,732 - mmseg - INFO - Iter [7800/38400] lr: 2.749e-03, eta: 0:34:07, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1083, decode.loss_grad: 0.0000, loss: 0.1083, grad_norm: 0.0509 2024-01-03 17:18:21,808 - mmseg - INFO - Iter [7850/38400] lr: 2.762e-03, eta: 0:34:03, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1099, decode.loss_grad: 0.0000, loss: 0.1099, grad_norm: 0.0547 2024-01-03 17:18:24,893 - mmseg - INFO - Iter [7900/38400] lr: 2.776e-03, eta: 0:33:59, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1075, decode.loss_grad: 0.0000, loss: 0.1075, grad_norm: 0.0501 2024-01-03 17:18:27,962 - mmseg - INFO - Iter [7950/38400] lr: 2.790e-03, eta: 0:33:54, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.1086, decode.loss_grad: 0.0000, loss: 0.1086, grad_norm: 0.0505 2024-01-03 17:18:31,032 - mmseg - INFO - Saving checkpoint at 8000 iterations 2024-01-03 17:18:31,048 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:18:31,048 - mmseg - INFO - Iter [8000/38400] lr: 2.804e-03, eta: 0:33:50, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1037, decode.loss_grad: 0.0000, loss: 0.1037, grad_norm: 0.0474 2024-01-03 17:18:34,129 - mmseg - INFO - Iter [8050/38400] lr: 2.817e-03, eta: 0:33:46, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1054, decode.loss_grad: 0.0000, loss: 0.1054, grad_norm: 0.0523 2024-01-03 17:18:37,219 - mmseg - INFO - Iter [8100/38400] lr: 2.831e-03, eta: 0:33:41, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1072, decode.loss_grad: 0.0000, loss: 0.1072, grad_norm: 0.0491 2024-01-03 17:18:40,339 - mmseg - INFO - Iter [8150/38400] lr: 2.844e-03, eta: 0:33:37, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1062, decode.loss_grad: 0.0000, loss: 0.1062, grad_norm: 0.0488 2024-01-03 17:18:43,440 - mmseg - INFO - Iter [8200/38400] lr: 2.857e-03, eta: 0:33:33, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1098, decode.loss_grad: 0.0000, loss: 0.1098, grad_norm: 0.0503 2024-01-03 17:18:46,523 - mmseg - INFO - Iter [8250/38400] lr: 2.871e-03, eta: 0:33:29, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1069, decode.loss_grad: 0.0000, loss: 0.1069, grad_norm: 0.0473 2024-01-03 17:18:49,764 - mmseg - INFO - Iter [8300/38400] lr: 2.884e-03, eta: 0:33:25, time: 0.065, data_time: 0.002, memory: 877, decode.loss_depth: 0.1078, decode.loss_grad: 0.0000, loss: 0.1078, grad_norm: 0.0486 2024-01-03 17:18:52,846 - mmseg - INFO - Iter [8350/38400] lr: 2.897e-03, eta: 0:33:21, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1056, decode.loss_grad: 0.0000, loss: 0.1056, grad_norm: 0.0478 2024-01-03 17:18:55,929 - mmseg - INFO - Iter [8400/38400] lr: 2.910e-03, eta: 0:33:17, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1069, decode.loss_grad: 0.0000, loss: 0.1069, grad_norm: 0.0480 2024-01-03 17:18:59,019 - mmseg - INFO - Iter [8450/38400] lr: 2.923e-03, eta: 0:33:12, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1061, decode.loss_grad: 0.0000, loss: 0.1061, grad_norm: 0.0473 2024-01-03 17:19:02,099 - mmseg - INFO - Iter [8500/38400] lr: 2.936e-03, eta: 0:33:08, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1091, decode.loss_grad: 0.0000, loss: 0.1091, grad_norm: 0.0492 2024-01-03 17:19:05,184 - mmseg - INFO - Iter [8550/38400] lr: 2.949e-03, eta: 0:33:04, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1088, decode.loss_grad: 0.0000, loss: 0.1088, grad_norm: 0.0477 2024-01-03 17:19:08,276 - mmseg - INFO - Iter [8600/38400] lr: 2.962e-03, eta: 0:33:00, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1087, decode.loss_grad: 0.0000, loss: 0.1087, grad_norm: 0.0470 2024-01-03 17:19:11,363 - mmseg - INFO - Iter [8650/38400] lr: 2.974e-03, eta: 0:32:56, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1073, decode.loss_grad: 0.0000, loss: 0.1073, grad_norm: 0.0458 2024-01-03 17:19:14,448 - mmseg - INFO - Iter [8700/38400] lr: 2.987e-03, eta: 0:32:52, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1088, decode.loss_grad: 0.0000, loss: 0.1088, grad_norm: 0.0459 2024-01-03 17:19:17,540 - mmseg - INFO - Iter [8750/38400] lr: 3.000e-03, eta: 0:32:48, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1069, decode.loss_grad: 0.0000, loss: 0.1069, grad_norm: 0.0447 2024-01-03 17:19:20,614 - mmseg - INFO - Iter [8800/38400] lr: 3.012e-03, eta: 0:32:43, time: 0.061, data_time: 0.001, memory: 877, decode.loss_depth: 0.1047, decode.loss_grad: 0.0000, loss: 0.1047, grad_norm: 0.0433 2024-01-03 17:19:23,748 - mmseg - INFO - Iter [8850/38400] lr: 3.025e-03, eta: 0:32:39, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.1053, decode.loss_grad: 0.0000, loss: 0.1053, grad_norm: 0.0463 2024-01-03 17:19:26,830 - mmseg - INFO - Iter [8900/38400] lr: 3.037e-03, eta: 0:32:35, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1065, decode.loss_grad: 0.0000, loss: 0.1065, grad_norm: 0.0457 2024-01-03 17:19:29,907 - mmseg - INFO - Iter [8950/38400] lr: 3.049e-03, eta: 0:32:31, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1059, decode.loss_grad: 0.0000, loss: 0.1059, grad_norm: 0.0458 2024-01-03 17:19:32,983 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:19:32,983 - mmseg - INFO - Iter [9000/38400] lr: 3.061e-03, eta: 0:32:27, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.1063, decode.loss_grad: 0.0000, loss: 0.1063, grad_norm: 0.0446 2024-01-03 17:19:36,099 - mmseg - INFO - Iter [9050/38400] lr: 3.073e-03, eta: 0:32:23, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1073, decode.loss_grad: 0.0000, loss: 0.1073, grad_norm: 0.0452 2024-01-03 17:19:41,271 - mmseg - INFO - Iter [9100/38400] lr: 3.085e-03, eta: 0:32:26, time: 0.103, data_time: 0.043, memory: 877, decode.loss_depth: 0.1032, decode.loss_grad: 0.0000, loss: 0.1032, grad_norm: 0.0415 2024-01-03 17:19:44,354 - mmseg - INFO - Iter [9150/38400] lr: 3.097e-03, eta: 0:32:22, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1064, decode.loss_grad: 0.0000, loss: 0.1064, grad_norm: 0.0444 2024-01-03 17:19:47,461 - mmseg - INFO - Iter [9200/38400] lr: 3.109e-03, eta: 0:32:18, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1018, decode.loss_grad: 0.0000, loss: 0.1018, grad_norm: 0.0409 2024-01-03 17:19:50,544 - mmseg - INFO - Iter [9250/38400] lr: 3.121e-03, eta: 0:32:14, time: 0.062, data_time: 0.001, memory: 877, decode.loss_depth: 0.1031, decode.loss_grad: 0.0000, loss: 0.1031, grad_norm: 0.0419 2024-01-03 17:19:53,654 - mmseg - INFO - Iter [9300/38400] lr: 3.133e-03, eta: 0:32:10, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1033, decode.loss_grad: 0.0000, loss: 0.1033, grad_norm: 0.0413 2024-01-03 17:19:56,755 - mmseg - INFO - Iter [9350/38400] lr: 3.145e-03, eta: 0:32:06, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1024, decode.loss_grad: 0.0000, loss: 0.1024, grad_norm: 0.0409 2024-01-03 17:19:59,840 - mmseg - INFO - Iter [9400/38400] lr: 3.156e-03, eta: 0:32:02, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1054, decode.loss_grad: 0.0000, loss: 0.1054, grad_norm: 0.0411 2024-01-03 17:20:02,936 - mmseg - INFO - Iter [9450/38400] lr: 3.168e-03, eta: 0:31:58, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1051, decode.loss_grad: 0.0000, loss: 0.1051, grad_norm: 0.0404 2024-01-03 17:20:06,031 - mmseg - INFO - Iter [9500/38400] lr: 3.179e-03, eta: 0:31:54, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1075, decode.loss_grad: 0.0000, loss: 0.1075, grad_norm: 0.0436 2024-01-03 17:20:09,110 - mmseg - INFO - Iter [9550/38400] lr: 3.190e-03, eta: 0:31:50, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1050, decode.loss_grad: 0.0000, loss: 0.1050, grad_norm: 0.0420 2024-01-03 17:20:12,214 - mmseg - INFO - Saving checkpoint at 9600 iterations 2024-01-03 17:20:12,229 - mmseg - INFO - Iter [9600/38400] lr: 3.202e-03, eta: 0:31:46, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1068, decode.loss_grad: 0.0000, loss: 0.1068, grad_norm: 0.0414 2024-01-03 17:20:18,113 - mmseg - INFO - Summary: 2024-01-03 17:20:18,113 - mmseg - INFO - +--------+--------+--------+---------+-------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+-------+--------+----------+---------+--------+ | 0.8512 | 0.9822 | 0.9977 | 0.132 | 0.423 | 0.0535 | 0.1537 | 11.6891 | 0.0757 | +--------+--------+--------+---------+-------+--------+----------+---------+--------+ 2024-01-03 17:20:18,114 - mmseg - INFO - Iter(val) [82] a1: 0.8512, a2: 0.9822, a3: 0.9977, abs_rel: 0.13195300102233887, rmse: 0.42298221588134766, log_10: 0.053538691252470016, rmse_log: 0.1536639779806137, silog: 11.6891, sq_rel: 0.07573094218969345 2024-01-03 17:20:21,202 - mmseg - INFO - Iter [9650/38400] lr: 3.213e-03, eta: 0:31:59, time: 0.179, data_time: 0.119, memory: 877, decode.loss_depth: 0.1054, decode.loss_grad: 0.0000, loss: 0.1054, grad_norm: 0.0402 2024-01-03 17:20:24,290 - mmseg - INFO - Iter [9700/38400] lr: 3.224e-03, eta: 0:31:55, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1059, decode.loss_grad: 0.0000, loss: 0.1059, grad_norm: 0.0395 2024-01-03 17:20:27,376 - mmseg - INFO - Iter [9750/38400] lr: 3.235e-03, eta: 0:31:51, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1045, decode.loss_grad: 0.0000, loss: 0.1045, grad_norm: 0.0390 2024-01-03 17:20:30,459 - mmseg - INFO - Iter [9800/38400] lr: 3.246e-03, eta: 0:31:47, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1059, decode.loss_grad: 0.0000, loss: 0.1059, grad_norm: 0.0404 2024-01-03 17:20:33,556 - mmseg - INFO - Iter [9850/38400] lr: 3.257e-03, eta: 0:31:43, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1065, decode.loss_grad: 0.0000, loss: 0.1065, grad_norm: 0.0396 2024-01-03 17:20:36,632 - mmseg - INFO - Iter [9900/38400] lr: 3.268e-03, eta: 0:31:39, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1032, decode.loss_grad: 0.0000, loss: 0.1032, grad_norm: 0.0386 2024-01-03 17:20:39,700 - mmseg - INFO - Iter [9950/38400] lr: 3.278e-03, eta: 0:31:35, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.1046, decode.loss_grad: 0.0000, loss: 0.1046, grad_norm: 0.0383 2024-01-03 17:20:42,770 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:20:42,770 - mmseg - INFO - Iter [10000/38400] lr: 3.289e-03, eta: 0:31:31, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.1053, decode.loss_grad: 0.0000, loss: 0.1053, grad_norm: 0.0390 2024-01-03 17:20:45,840 - mmseg - INFO - Iter [10050/38400] lr: 3.300e-03, eta: 0:31:27, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.1066, decode.loss_grad: 0.0000, loss: 0.1066, grad_norm: 0.0399 2024-01-03 17:20:48,978 - mmseg - INFO - Iter [10100/38400] lr: 3.310e-03, eta: 0:31:23, time: 0.063, data_time: 0.003, memory: 877, decode.loss_depth: 0.1042, decode.loss_grad: 0.0000, loss: 0.1042, grad_norm: 0.0378 2024-01-03 17:20:52,042 - mmseg - INFO - Iter [10150/38400] lr: 3.320e-03, eta: 0:31:19, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.1035, decode.loss_grad: 0.0000, loss: 0.1035, grad_norm: 0.0378 2024-01-03 17:20:55,132 - mmseg - INFO - Iter [10200/38400] lr: 3.331e-03, eta: 0:31:15, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1036, decode.loss_grad: 0.0000, loss: 0.1036, grad_norm: 0.0381 2024-01-03 17:20:58,219 - mmseg - INFO - Iter [10250/38400] lr: 3.341e-03, eta: 0:31:11, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1063, decode.loss_grad: 0.0000, loss: 0.1063, grad_norm: 0.0393 2024-01-03 17:21:01,318 - mmseg - INFO - Iter [10300/38400] lr: 3.351e-03, eta: 0:31:07, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1028, decode.loss_grad: 0.0000, loss: 0.1028, grad_norm: 0.0376 2024-01-03 17:21:04,412 - mmseg - INFO - Iter [10350/38400] lr: 3.361e-03, eta: 0:31:03, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1049, decode.loss_grad: 0.0000, loss: 0.1049, grad_norm: 0.0358 2024-01-03 17:21:07,612 - mmseg - INFO - Iter [10400/38400] lr: 3.371e-03, eta: 0:30:59, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.1012, decode.loss_grad: 0.0000, loss: 0.1012, grad_norm: 0.0350 2024-01-03 17:21:10,735 - mmseg - INFO - Iter [10450/38400] lr: 3.381e-03, eta: 0:30:56, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1033, decode.loss_grad: 0.0000, loss: 0.1033, grad_norm: 0.0357 2024-01-03 17:21:13,869 - mmseg - INFO - Iter [10500/38400] lr: 3.391e-03, eta: 0:30:52, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.1057, decode.loss_grad: 0.0000, loss: 0.1057, grad_norm: 0.0387 2024-01-03 17:21:16,980 - mmseg - INFO - Iter [10550/38400] lr: 3.401e-03, eta: 0:30:48, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1037, decode.loss_grad: 0.0000, loss: 0.1037, grad_norm: 0.0365 2024-01-03 17:21:22,167 - mmseg - INFO - Iter [10600/38400] lr: 3.410e-03, eta: 0:30:50, time: 0.104, data_time: 0.043, memory: 877, decode.loss_depth: 0.1048, decode.loss_grad: 0.0000, loss: 0.1048, grad_norm: 0.0371 2024-01-03 17:21:25,227 - mmseg - INFO - Iter [10650/38400] lr: 3.420e-03, eta: 0:30:46, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.1021, decode.loss_grad: 0.0000, loss: 0.1021, grad_norm: 0.0335 2024-01-03 17:21:28,334 - mmseg - INFO - Iter [10700/38400] lr: 3.429e-03, eta: 0:30:42, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1051, decode.loss_grad: 0.0000, loss: 0.1051, grad_norm: 0.0354 2024-01-03 17:21:31,492 - mmseg - INFO - Iter [10750/38400] lr: 3.439e-03, eta: 0:30:38, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.1007, decode.loss_grad: 0.0000, loss: 0.1007, grad_norm: 0.0325 2024-01-03 17:21:34,574 - mmseg - INFO - Iter [10800/38400] lr: 3.448e-03, eta: 0:30:34, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1015, decode.loss_grad: 0.0000, loss: 0.1015, grad_norm: 0.0350 2024-01-03 17:21:37,670 - mmseg - INFO - Iter [10850/38400] lr: 3.457e-03, eta: 0:30:30, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1034, decode.loss_grad: 0.0000, loss: 0.1034, grad_norm: 0.0358 2024-01-03 17:21:40,750 - mmseg - INFO - Iter [10900/38400] lr: 3.466e-03, eta: 0:30:26, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1039, decode.loss_grad: 0.0000, loss: 0.1039, grad_norm: 0.0370 2024-01-03 17:21:43,833 - mmseg - INFO - Iter [10950/38400] lr: 3.475e-03, eta: 0:30:22, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1025, decode.loss_grad: 0.0000, loss: 0.1025, grad_norm: 0.0352 2024-01-03 17:21:46,909 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:21:46,909 - mmseg - INFO - Iter [11000/38400] lr: 3.484e-03, eta: 0:30:18, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0994, decode.loss_grad: 0.0000, loss: 0.0994, grad_norm: 0.0338 2024-01-03 17:21:49,973 - mmseg - INFO - Iter [11050/38400] lr: 3.493e-03, eta: 0:30:14, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.1031, decode.loss_grad: 0.0000, loss: 0.1031, grad_norm: 0.0343 2024-01-03 17:21:53,052 - mmseg - INFO - Iter [11100/38400] lr: 3.502e-03, eta: 0:30:10, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1024, decode.loss_grad: 0.0000, loss: 0.1024, grad_norm: 0.0343 2024-01-03 17:21:56,146 - mmseg - INFO - Iter [11150/38400] lr: 3.511e-03, eta: 0:30:07, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1000, decode.loss_grad: 0.0000, loss: 0.1000, grad_norm: 0.0335 2024-01-03 17:21:59,237 - mmseg - INFO - Saving checkpoint at 11200 iterations 2024-01-03 17:21:59,250 - mmseg - INFO - Iter [11200/38400] lr: 3.519e-03, eta: 0:30:03, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1031, decode.loss_grad: 0.0000, loss: 0.1031, grad_norm: 0.0338 2024-01-03 17:22:02,339 - mmseg - INFO - Iter [11250/38400] lr: 3.528e-03, eta: 0:29:59, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1000, decode.loss_grad: 0.0000, loss: 0.1000, grad_norm: 0.0334 2024-01-03 17:22:05,419 - mmseg - INFO - Iter [11300/38400] lr: 3.537e-03, eta: 0:29:55, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1056, decode.loss_grad: 0.0000, loss: 0.1056, grad_norm: 0.0345 2024-01-03 17:22:08,494 - mmseg - INFO - Iter [11350/38400] lr: 3.545e-03, eta: 0:29:51, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.1023, decode.loss_grad: 0.0000, loss: 0.1023, grad_norm: 0.0340 2024-01-03 17:22:11,578 - mmseg - INFO - Iter [11400/38400] lr: 3.553e-03, eta: 0:29:47, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1015, decode.loss_grad: 0.0000, loss: 0.1015, grad_norm: 0.0333 2024-01-03 17:22:14,667 - mmseg - INFO - Iter [11450/38400] lr: 3.561e-03, eta: 0:29:43, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1015, decode.loss_grad: 0.0000, loss: 0.1015, grad_norm: 0.0335 2024-01-03 17:22:17,760 - mmseg - INFO - Iter [11500/38400] lr: 3.570e-03, eta: 0:29:40, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1042, decode.loss_grad: 0.0000, loss: 0.1042, grad_norm: 0.0335 2024-01-03 17:22:20,848 - mmseg - INFO - Iter [11550/38400] lr: 3.578e-03, eta: 0:29:36, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1020, decode.loss_grad: 0.0000, loss: 0.1020, grad_norm: 0.0331 2024-01-03 17:22:24,021 - mmseg - INFO - Iter [11600/38400] lr: 3.586e-03, eta: 0:29:32, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.1028, decode.loss_grad: 0.0000, loss: 0.1028, grad_norm: 0.0321 2024-01-03 17:22:27,111 - mmseg - INFO - Iter [11650/38400] lr: 3.593e-03, eta: 0:29:28, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1054, decode.loss_grad: 0.0000, loss: 0.1054, grad_norm: 0.0337 2024-01-03 17:22:30,208 - mmseg - INFO - Iter [11700/38400] lr: 3.601e-03, eta: 0:29:25, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1015, decode.loss_grad: 0.0000, loss: 0.1015, grad_norm: 0.0320 2024-01-03 17:22:33,404 - mmseg - INFO - Iter [11750/38400] lr: 3.609e-03, eta: 0:29:21, time: 0.064, data_time: 0.004, memory: 877, decode.loss_depth: 0.1033, decode.loss_grad: 0.0000, loss: 0.1033, grad_norm: 0.0322 2024-01-03 17:22:36,488 - mmseg - INFO - Iter [11800/38400] lr: 3.616e-03, eta: 0:29:17, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1015, decode.loss_grad: 0.0000, loss: 0.1015, grad_norm: 0.0318 2024-01-03 17:22:39,575 - mmseg - INFO - Iter [11850/38400] lr: 3.624e-03, eta: 0:29:13, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1018, decode.loss_grad: 0.0000, loss: 0.1018, grad_norm: 0.0308 2024-01-03 17:22:42,642 - mmseg - INFO - Iter [11900/38400] lr: 3.631e-03, eta: 0:29:10, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.1035, decode.loss_grad: 0.0000, loss: 0.1035, grad_norm: 0.0320 2024-01-03 17:22:45,719 - mmseg - INFO - Iter [11950/38400] lr: 3.639e-03, eta: 0:29:06, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1023, decode.loss_grad: 0.0000, loss: 0.1023, grad_norm: 0.0327 2024-01-03 17:22:48,791 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:22:48,791 - mmseg - INFO - Iter [12000/38400] lr: 3.646e-03, eta: 0:29:02, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.1010, decode.loss_grad: 0.0000, loss: 0.1010, grad_norm: 0.0314 2024-01-03 17:22:51,898 - mmseg - INFO - Iter [12050/38400] lr: 3.653e-03, eta: 0:28:58, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1028, decode.loss_grad: 0.0000, loss: 0.1028, grad_norm: 0.0305 2024-01-03 17:22:55,060 - mmseg - INFO - Iter [12100/38400] lr: 3.660e-03, eta: 0:28:55, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.1037, decode.loss_grad: 0.0000, loss: 0.1037, grad_norm: 0.0306 2024-01-03 17:23:00,206 - mmseg - INFO - Iter [12150/38400] lr: 3.667e-03, eta: 0:28:55, time: 0.103, data_time: 0.043, memory: 877, decode.loss_depth: 0.0990, decode.loss_grad: 0.0000, loss: 0.0990, grad_norm: 0.0317 2024-01-03 17:23:03,324 - mmseg - INFO - Iter [12200/38400] lr: 3.674e-03, eta: 0:28:52, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1025, decode.loss_grad: 0.0000, loss: 0.1025, grad_norm: 0.0309 2024-01-03 17:23:06,494 - mmseg - INFO - Iter [12250/38400] lr: 3.681e-03, eta: 0:28:48, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.1016, decode.loss_grad: 0.0000, loss: 0.1016, grad_norm: 0.0321 2024-01-03 17:23:09,564 - mmseg - INFO - Iter [12300/38400] lr: 3.688e-03, eta: 0:28:44, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.1020, decode.loss_grad: 0.0000, loss: 0.1020, grad_norm: 0.0306 2024-01-03 17:23:12,643 - mmseg - INFO - Iter [12350/38400] lr: 3.694e-03, eta: 0:28:40, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1004, decode.loss_grad: 0.0000, loss: 0.1004, grad_norm: 0.0304 2024-01-03 17:23:15,716 - mmseg - INFO - Iter [12400/38400] lr: 3.701e-03, eta: 0:28:37, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.1015, decode.loss_grad: 0.0000, loss: 0.1015, grad_norm: 0.0300 2024-01-03 17:23:18,812 - mmseg - INFO - Iter [12450/38400] lr: 3.707e-03, eta: 0:28:33, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1003, decode.loss_grad: 0.0000, loss: 0.1003, grad_norm: 0.0294 2024-01-03 17:23:21,894 - mmseg - INFO - Iter [12500/38400] lr: 3.714e-03, eta: 0:28:29, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0991, decode.loss_grad: 0.0000, loss: 0.0991, grad_norm: 0.0290 2024-01-03 17:23:24,971 - mmseg - INFO - Iter [12550/38400] lr: 3.720e-03, eta: 0:28:25, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1002, decode.loss_grad: 0.0000, loss: 0.1002, grad_norm: 0.0300 2024-01-03 17:23:28,072 - mmseg - INFO - Iter [12600/38400] lr: 3.726e-03, eta: 0:28:22, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1014, decode.loss_grad: 0.0000, loss: 0.1014, grad_norm: 0.0307 2024-01-03 17:23:31,132 - mmseg - INFO - Iter [12650/38400] lr: 3.732e-03, eta: 0:28:18, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.1036, decode.loss_grad: 0.0000, loss: 0.1036, grad_norm: 0.0315 2024-01-03 17:23:34,208 - mmseg - INFO - Iter [12700/38400] lr: 3.738e-03, eta: 0:28:14, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1016, decode.loss_grad: 0.0000, loss: 0.1016, grad_norm: 0.0298 2024-01-03 17:23:37,298 - mmseg - INFO - Iter [12750/38400] lr: 3.744e-03, eta: 0:28:10, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1009, decode.loss_grad: 0.0000, loss: 0.1009, grad_norm: 0.0298 2024-01-03 17:23:40,379 - mmseg - INFO - Saving checkpoint at 12800 iterations 2024-01-03 17:23:40,394 - mmseg - INFO - Iter [12800/38400] lr: 3.750e-03, eta: 0:28:07, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0996, decode.loss_grad: 0.0000, loss: 0.0996, grad_norm: 0.0286 2024-01-03 17:23:46,258 - mmseg - INFO - Summary: 2024-01-03 17:23:46,258 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.8605 | 0.9827 | 0.9978 | 0.1286 | 0.4123 | 0.0522 | 0.1506 | 11.5153 | 0.0719 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:23:46,260 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/original/vit_base_patch14_dinov2.lvd142m/best_abs_rel_iter_3200.pth was removed 2024-01-03 17:23:46,272 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_12800.pth. 2024-01-03 17:23:46,273 - mmseg - INFO - Best abs_rel is 0.1286 at 12800 iter. 2024-01-03 17:23:46,273 - mmseg - INFO - Iter(val) [82] a1: 0.8605, a2: 0.9827, a3: 0.9978, abs_rel: 0.12864963710308075, rmse: 0.412345826625824, log_10: 0.052228186279535294, rmse_log: 0.15057028830051422, silog: 11.5153, sq_rel: 0.07193395495414734 2024-01-03 17:23:49,345 - mmseg - INFO - Iter [12850/38400] lr: 3.741e-03, eta: 0:28:15, time: 0.179, data_time: 0.119, memory: 877, decode.loss_depth: 0.0993, decode.loss_grad: 0.0000, loss: 0.0993, grad_norm: 0.0286 2024-01-03 17:23:52,423 - mmseg - INFO - Iter [12900/38400] lr: 3.732e-03, eta: 0:28:11, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1015, decode.loss_grad: 0.0000, loss: 0.1015, grad_norm: 0.0301 2024-01-03 17:23:55,504 - mmseg - INFO - Iter [12950/38400] lr: 3.724e-03, eta: 0:28:07, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0965, decode.loss_grad: 0.0000, loss: 0.0965, grad_norm: 0.0264 2024-01-03 17:23:58,612 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:23:58,612 - mmseg - INFO - Iter [13000/38400] lr: 3.715e-03, eta: 0:28:03, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1002, decode.loss_grad: 0.0000, loss: 0.1002, grad_norm: 0.0290 2024-01-03 17:24:01,697 - mmseg - INFO - Iter [13050/38400] lr: 3.706e-03, eta: 0:28:00, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0982, decode.loss_grad: 0.0000, loss: 0.0982, grad_norm: 0.0287 2024-01-03 17:24:04,786 - mmseg - INFO - Iter [13100/38400] lr: 3.697e-03, eta: 0:27:56, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0978, decode.loss_grad: 0.0000, loss: 0.0978, grad_norm: 0.0280 2024-01-03 17:24:07,874 - mmseg - INFO - Iter [13150/38400] lr: 3.688e-03, eta: 0:27:52, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0989, decode.loss_grad: 0.0000, loss: 0.0989, grad_norm: 0.0279 2024-01-03 17:24:11,115 - mmseg - INFO - Iter [13200/38400] lr: 3.679e-03, eta: 0:27:49, time: 0.065, data_time: 0.002, memory: 877, decode.loss_depth: 0.1001, decode.loss_grad: 0.0000, loss: 0.1001, grad_norm: 0.0274 2024-01-03 17:24:14,210 - mmseg - INFO - Iter [13250/38400] lr: 3.670e-03, eta: 0:27:45, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0977, decode.loss_grad: 0.0000, loss: 0.0977, grad_norm: 0.0267 2024-01-03 17:24:17,285 - mmseg - INFO - Iter [13300/38400] lr: 3.661e-03, eta: 0:27:41, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.1009, decode.loss_grad: 0.0000, loss: 0.1009, grad_norm: 0.0285 2024-01-03 17:24:20,363 - mmseg - INFO - Iter [13350/38400] lr: 3.652e-03, eta: 0:27:37, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1003, decode.loss_grad: 0.0000, loss: 0.1003, grad_norm: 0.0287 2024-01-03 17:24:23,433 - mmseg - INFO - Iter [13400/38400] lr: 3.642e-03, eta: 0:27:34, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0993, decode.loss_grad: 0.0000, loss: 0.0993, grad_norm: 0.0274 2024-01-03 17:24:26,506 - mmseg - INFO - Iter [13450/38400] lr: 3.633e-03, eta: 0:27:30, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.1009, decode.loss_grad: 0.0000, loss: 0.1009, grad_norm: 0.0285 2024-01-03 17:24:29,594 - mmseg - INFO - Iter [13500/38400] lr: 3.624e-03, eta: 0:27:26, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0999, decode.loss_grad: 0.0000, loss: 0.0999, grad_norm: 0.0288 2024-01-03 17:24:32,672 - mmseg - INFO - Iter [13550/38400] lr: 3.615e-03, eta: 0:27:23, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1005, decode.loss_grad: 0.0000, loss: 0.1005, grad_norm: 0.0273 2024-01-03 17:24:35,757 - mmseg - INFO - Iter [13600/38400] lr: 3.606e-03, eta: 0:27:19, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1010, decode.loss_grad: 0.0000, loss: 0.1010, grad_norm: 0.0270 2024-01-03 17:24:40,909 - mmseg - INFO - Iter [13650/38400] lr: 3.597e-03, eta: 0:27:19, time: 0.103, data_time: 0.043, memory: 877, decode.loss_depth: 0.0954, decode.loss_grad: 0.0000, loss: 0.0954, grad_norm: 0.0259 2024-01-03 17:24:44,011 - mmseg - INFO - Iter [13700/38400] lr: 3.588e-03, eta: 0:27:15, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0996, decode.loss_grad: 0.0000, loss: 0.0996, grad_norm: 0.0265 2024-01-03 17:24:47,080 - mmseg - INFO - Iter [13750/38400] lr: 3.578e-03, eta: 0:27:11, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0950, decode.loss_grad: 0.0000, loss: 0.0950, grad_norm: 0.0261 2024-01-03 17:24:50,160 - mmseg - INFO - Iter [13800/38400] lr: 3.569e-03, eta: 0:27:08, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0995, decode.loss_grad: 0.0000, loss: 0.0995, grad_norm: 0.0274 2024-01-03 17:24:53,320 - mmseg - INFO - Iter [13850/38400] lr: 3.560e-03, eta: 0:27:04, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0978, decode.loss_grad: 0.0000, loss: 0.0978, grad_norm: 0.0261 2024-01-03 17:24:56,389 - mmseg - INFO - Iter [13900/38400] lr: 3.551e-03, eta: 0:27:00, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0987, decode.loss_grad: 0.0000, loss: 0.0987, grad_norm: 0.0270 2024-01-03 17:24:59,490 - mmseg - INFO - Iter [13950/38400] lr: 3.541e-03, eta: 0:26:57, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0996, decode.loss_grad: 0.0000, loss: 0.0996, grad_norm: 0.0263 2024-01-03 17:25:02,562 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:25:02,562 - mmseg - INFO - Iter [14000/38400] lr: 3.532e-03, eta: 0:26:53, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0983, decode.loss_grad: 0.0000, loss: 0.0983, grad_norm: 0.0272 2024-01-03 17:25:05,656 - mmseg - INFO - Iter [14050/38400] lr: 3.523e-03, eta: 0:26:49, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0955, decode.loss_grad: 0.0000, loss: 0.0955, grad_norm: 0.0265 2024-01-03 17:25:08,743 - mmseg - INFO - Iter [14100/38400] lr: 3.513e-03, eta: 0:26:46, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0958, decode.loss_grad: 0.0000, loss: 0.0958, grad_norm: 0.0276 2024-01-03 17:25:11,817 - mmseg - INFO - Iter [14150/38400] lr: 3.504e-03, eta: 0:26:42, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0961, decode.loss_grad: 0.0000, loss: 0.0961, grad_norm: 0.0258 2024-01-03 17:25:14,896 - mmseg - INFO - Iter [14200/38400] lr: 3.495e-03, eta: 0:26:38, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0959, decode.loss_grad: 0.0000, loss: 0.0959, grad_norm: 0.0261 2024-01-03 17:25:17,984 - mmseg - INFO - Iter [14250/38400] lr: 3.485e-03, eta: 0:26:35, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0963, decode.loss_grad: 0.0000, loss: 0.0963, grad_norm: 0.0261 2024-01-03 17:25:21,044 - mmseg - INFO - Iter [14300/38400] lr: 3.476e-03, eta: 0:26:31, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0977, decode.loss_grad: 0.0000, loss: 0.0977, grad_norm: 0.0261 2024-01-03 17:25:24,156 - mmseg - INFO - Iter [14350/38400] lr: 3.466e-03, eta: 0:26:27, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0961, decode.loss_grad: 0.0000, loss: 0.0961, grad_norm: 0.0270 2024-01-03 17:25:27,272 - mmseg - INFO - Saving checkpoint at 14400 iterations 2024-01-03 17:25:27,285 - mmseg - INFO - Iter [14400/38400] lr: 3.457e-03, eta: 0:26:24, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0974, decode.loss_grad: 0.0000, loss: 0.0974, grad_norm: 0.0265 2024-01-03 17:25:30,354 - mmseg - INFO - Iter [14450/38400] lr: 3.447e-03, eta: 0:26:20, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0996, decode.loss_grad: 0.0000, loss: 0.0996, grad_norm: 0.0269 2024-01-03 17:25:33,449 - mmseg - INFO - Iter [14500/38400] lr: 3.438e-03, eta: 0:26:16, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0971, decode.loss_grad: 0.0000, loss: 0.0971, grad_norm: 0.0264 2024-01-03 17:25:36,537 - mmseg - INFO - Iter [14550/38400] lr: 3.428e-03, eta: 0:26:13, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0974, decode.loss_grad: 0.0000, loss: 0.0974, grad_norm: 0.0252 2024-01-03 17:25:39,616 - mmseg - INFO - Iter [14600/38400] lr: 3.419e-03, eta: 0:26:09, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0979, decode.loss_grad: 0.0000, loss: 0.0979, grad_norm: 0.0261 2024-01-03 17:25:42,704 - mmseg - INFO - Iter [14650/38400] lr: 3.409e-03, eta: 0:26:05, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0959, decode.loss_grad: 0.0000, loss: 0.0959, grad_norm: 0.0253 2024-01-03 17:25:45,786 - mmseg - INFO - Iter [14700/38400] lr: 3.400e-03, eta: 0:26:02, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0966, decode.loss_grad: 0.0000, loss: 0.0966, grad_norm: 0.0251 2024-01-03 17:25:48,880 - mmseg - INFO - Iter [14750/38400] lr: 3.390e-03, eta: 0:25:58, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0991, decode.loss_grad: 0.0000, loss: 0.0991, grad_norm: 0.0249 2024-01-03 17:25:51,967 - mmseg - INFO - Iter [14800/38400] lr: 3.381e-03, eta: 0:25:55, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0972, decode.loss_grad: 0.0000, loss: 0.0972, grad_norm: 0.0255 2024-01-03 17:25:55,046 - mmseg - INFO - Iter [14850/38400] lr: 3.371e-03, eta: 0:25:51, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0973, decode.loss_grad: 0.0000, loss: 0.0973, grad_norm: 0.0260 2024-01-03 17:25:58,129 - mmseg - INFO - Iter [14900/38400] lr: 3.362e-03, eta: 0:25:47, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0980, decode.loss_grad: 0.0000, loss: 0.0980, grad_norm: 0.0253 2024-01-03 17:26:01,231 - mmseg - INFO - Iter [14950/38400] lr: 3.352e-03, eta: 0:25:44, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0969, decode.loss_grad: 0.0000, loss: 0.0969, grad_norm: 0.0254 2024-01-03 17:26:04,337 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:26:04,338 - mmseg - INFO - Iter [15000/38400] lr: 3.342e-03, eta: 0:25:40, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0936, decode.loss_grad: 0.0000, loss: 0.0936, grad_norm: 0.0244 2024-01-03 17:26:07,415 - mmseg - INFO - Iter [15050/38400] lr: 3.333e-03, eta: 0:25:36, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0965, decode.loss_grad: 0.0000, loss: 0.0965, grad_norm: 0.0257 2024-01-03 17:26:10,492 - mmseg - INFO - Iter [15100/38400] lr: 3.323e-03, eta: 0:25:33, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0955, decode.loss_grad: 0.0000, loss: 0.0955, grad_norm: 0.0255 2024-01-03 17:26:15,677 - mmseg - INFO - Iter [15150/38400] lr: 3.313e-03, eta: 0:25:32, time: 0.104, data_time: 0.043, memory: 877, decode.loss_depth: 0.0960, decode.loss_grad: 0.0000, loss: 0.0960, grad_norm: 0.0249 2024-01-03 17:26:18,847 - mmseg - INFO - Iter [15200/38400] lr: 3.304e-03, eta: 0:25:29, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0964, decode.loss_grad: 0.0000, loss: 0.0964, grad_norm: 0.0245 2024-01-03 17:26:21,936 - mmseg - INFO - Iter [15250/38400] lr: 3.294e-03, eta: 0:25:25, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0937, decode.loss_grad: 0.0000, loss: 0.0937, grad_norm: 0.0241 2024-01-03 17:26:25,025 - mmseg - INFO - Iter [15300/38400] lr: 3.284e-03, eta: 0:25:22, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0932, decode.loss_grad: 0.0000, loss: 0.0932, grad_norm: 0.0243 2024-01-03 17:26:28,323 - mmseg - INFO - Iter [15350/38400] lr: 3.275e-03, eta: 0:25:18, time: 0.066, data_time: 0.002, memory: 877, decode.loss_depth: 0.0972, decode.loss_grad: 0.0000, loss: 0.0972, grad_norm: 0.0258 2024-01-03 17:26:31,392 - mmseg - INFO - Iter [15400/38400] lr: 3.265e-03, eta: 0:25:15, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0948, decode.loss_grad: 0.0000, loss: 0.0948, grad_norm: 0.0244 2024-01-03 17:26:34,467 - mmseg - INFO - Iter [15450/38400] lr: 3.255e-03, eta: 0:25:11, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0965, decode.loss_grad: 0.0000, loss: 0.0965, grad_norm: 0.0254 2024-01-03 17:26:37,560 - mmseg - INFO - Iter [15500/38400] lr: 3.245e-03, eta: 0:25:08, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0957, decode.loss_grad: 0.0000, loss: 0.0957, grad_norm: 0.0243 2024-01-03 17:26:40,705 - mmseg - INFO - Iter [15550/38400] lr: 3.236e-03, eta: 0:25:04, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0943, decode.loss_grad: 0.0000, loss: 0.0943, grad_norm: 0.0251 2024-01-03 17:26:43,787 - mmseg - INFO - Iter [15600/38400] lr: 3.226e-03, eta: 0:25:01, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0960, decode.loss_grad: 0.0000, loss: 0.0960, grad_norm: 0.0247 2024-01-03 17:26:46,873 - mmseg - INFO - Iter [15650/38400] lr: 3.216e-03, eta: 0:24:57, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0947, decode.loss_grad: 0.0000, loss: 0.0947, grad_norm: 0.0247 2024-01-03 17:26:50,035 - mmseg - INFO - Iter [15700/38400] lr: 3.206e-03, eta: 0:24:53, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0957, decode.loss_grad: 0.0000, loss: 0.0957, grad_norm: 0.0249 2024-01-03 17:26:53,124 - mmseg - INFO - Iter [15750/38400] lr: 3.196e-03, eta: 0:24:50, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0946, decode.loss_grad: 0.0000, loss: 0.0946, grad_norm: 0.0262 2024-01-03 17:26:56,205 - mmseg - INFO - Iter [15800/38400] lr: 3.187e-03, eta: 0:24:46, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0966, decode.loss_grad: 0.0000, loss: 0.0966, grad_norm: 0.0251 2024-01-03 17:26:59,302 - mmseg - INFO - Iter [15850/38400] lr: 3.177e-03, eta: 0:24:43, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0917, decode.loss_grad: 0.0000, loss: 0.0917, grad_norm: 0.0238 2024-01-03 17:27:02,384 - mmseg - INFO - Iter [15900/38400] lr: 3.167e-03, eta: 0:24:39, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0966, decode.loss_grad: 0.0000, loss: 0.0966, grad_norm: 0.0252 2024-01-03 17:27:05,454 - mmseg - INFO - Iter [15950/38400] lr: 3.157e-03, eta: 0:24:36, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0960, decode.loss_grad: 0.0000, loss: 0.0960, grad_norm: 0.0249 2024-01-03 17:27:08,557 - mmseg - INFO - Saving checkpoint at 16000 iterations 2024-01-03 17:27:08,573 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:27:08,574 - mmseg - INFO - Iter [16000/38400] lr: 3.147e-03, eta: 0:24:32, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0968, decode.loss_grad: 0.0000, loss: 0.0968, grad_norm: 0.0241 2024-01-03 17:27:14,502 - mmseg - INFO - Summary: 2024-01-03 17:27:14,502 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.8644 | 0.9837 | 0.9978 | 0.1252 | 0.4083 | 0.0512 | 0.1483 | 11.5172 | 0.0691 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:27:14,504 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/original/vit_base_patch14_dinov2.lvd142m/best_abs_rel_iter_12800.pth was removed 2024-01-03 17:27:14,514 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_16000.pth. 2024-01-03 17:27:14,514 - mmseg - INFO - Best abs_rel is 0.1252 at 16000 iter. 2024-01-03 17:27:14,515 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:27:14,515 - mmseg - INFO - Iter(val) [82] a1: 0.8644, a2: 0.9837, a3: 0.9978, abs_rel: 0.12515152990818024, rmse: 0.4082631766796112, log_10: 0.05124964565038681, rmse_log: 0.14831951260566711, silog: 11.5172, sq_rel: 0.06913906335830688 2024-01-03 17:27:17,580 - mmseg - INFO - Iter [16050/38400] lr: 3.137e-03, eta: 0:24:37, time: 0.180, data_time: 0.121, memory: 877, decode.loss_depth: 0.0945, decode.loss_grad: 0.0000, loss: 0.0945, grad_norm: 0.0243 2024-01-03 17:27:20,682 - mmseg - INFO - Iter [16100/38400] lr: 3.127e-03, eta: 0:24:33, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0930, decode.loss_grad: 0.0000, loss: 0.0930, grad_norm: 0.0245 2024-01-03 17:27:23,780 - mmseg - INFO - Iter [16150/38400] lr: 3.118e-03, eta: 0:24:30, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0946, decode.loss_grad: 0.0000, loss: 0.0946, grad_norm: 0.0243 2024-01-03 17:27:26,860 - mmseg - INFO - Iter [16200/38400] lr: 3.108e-03, eta: 0:24:26, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0939, decode.loss_grad: 0.0000, loss: 0.0939, grad_norm: 0.0244 2024-01-03 17:27:29,968 - mmseg - INFO - Iter [16250/38400] lr: 3.098e-03, eta: 0:24:22, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0944, decode.loss_grad: 0.0000, loss: 0.0944, grad_norm: 0.0229 2024-01-03 17:27:33,050 - mmseg - INFO - Iter [16300/38400] lr: 3.088e-03, eta: 0:24:19, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0954, decode.loss_grad: 0.0000, loss: 0.0954, grad_norm: 0.0253 2024-01-03 17:27:36,151 - mmseg - INFO - Iter [16350/38400] lr: 3.078e-03, eta: 0:24:15, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0957, decode.loss_grad: 0.0000, loss: 0.0957, grad_norm: 0.0248 2024-01-03 17:27:39,221 - mmseg - INFO - Iter [16400/38400] lr: 3.068e-03, eta: 0:24:12, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0948, decode.loss_grad: 0.0000, loss: 0.0948, grad_norm: 0.0243 2024-01-03 17:27:42,309 - mmseg - INFO - Iter [16450/38400] lr: 3.058e-03, eta: 0:24:08, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0937, decode.loss_grad: 0.0000, loss: 0.0937, grad_norm: 0.0236 2024-01-03 17:27:45,404 - mmseg - INFO - Iter [16500/38400] lr: 3.048e-03, eta: 0:24:04, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0962, decode.loss_grad: 0.0000, loss: 0.0962, grad_norm: 0.0249 2024-01-03 17:27:48,490 - mmseg - INFO - Iter [16550/38400] lr: 3.038e-03, eta: 0:24:01, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0916, decode.loss_grad: 0.0000, loss: 0.0916, grad_norm: 0.0229 2024-01-03 17:27:51,588 - mmseg - INFO - Iter [16600/38400] lr: 3.028e-03, eta: 0:23:57, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0940, decode.loss_grad: 0.0000, loss: 0.0940, grad_norm: 0.0228 2024-01-03 17:27:54,666 - mmseg - INFO - Iter [16650/38400] lr: 3.018e-03, eta: 0:23:54, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0938, decode.loss_grad: 0.0000, loss: 0.0938, grad_norm: 0.0233 2024-01-03 17:27:59,866 - mmseg - INFO - Iter [16700/38400] lr: 3.008e-03, eta: 0:23:53, time: 0.104, data_time: 0.043, memory: 877, decode.loss_depth: 0.0920, decode.loss_grad: 0.0000, loss: 0.0920, grad_norm: 0.0230 2024-01-03 17:28:02,962 - mmseg - INFO - Iter [16750/38400] lr: 2.998e-03, eta: 0:23:49, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0915, decode.loss_grad: 0.0000, loss: 0.0915, grad_norm: 0.0229 2024-01-03 17:28:06,122 - mmseg - INFO - Iter [16800/38400] lr: 2.988e-03, eta: 0:23:46, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0933, decode.loss_grad: 0.0000, loss: 0.0933, grad_norm: 0.0239 2024-01-03 17:28:09,205 - mmseg - INFO - Iter [16850/38400] lr: 2.978e-03, eta: 0:23:42, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0924, decode.loss_grad: 0.0000, loss: 0.0924, grad_norm: 0.0240 2024-01-03 17:28:12,287 - mmseg - INFO - Iter [16900/38400] lr: 2.968e-03, eta: 0:23:39, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0957, decode.loss_grad: 0.0000, loss: 0.0957, grad_norm: 0.0258 2024-01-03 17:28:15,375 - mmseg - INFO - Iter [16950/38400] lr: 2.958e-03, eta: 0:23:35, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0914, decode.loss_grad: 0.0000, loss: 0.0914, grad_norm: 0.0231 2024-01-03 17:28:18,448 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:28:18,448 - mmseg - INFO - Iter [17000/38400] lr: 2.948e-03, eta: 0:23:31, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0921, decode.loss_grad: 0.0000, loss: 0.0921, grad_norm: 0.0235 2024-01-03 17:28:21,519 - mmseg - INFO - Iter [17050/38400] lr: 2.938e-03, eta: 0:23:28, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0927, decode.loss_grad: 0.0000, loss: 0.0927, grad_norm: 0.0238 2024-01-03 17:28:24,615 - mmseg - INFO - Iter [17100/38400] lr: 2.928e-03, eta: 0:23:24, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0913, decode.loss_grad: 0.0000, loss: 0.0913, grad_norm: 0.0236 2024-01-03 17:28:27,704 - mmseg - INFO - Iter [17150/38400] lr: 2.918e-03, eta: 0:23:21, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0922, decode.loss_grad: 0.0000, loss: 0.0922, grad_norm: 0.0239 2024-01-03 17:28:30,773 - mmseg - INFO - Iter [17200/38400] lr: 2.907e-03, eta: 0:23:17, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0902, decode.loss_grad: 0.0000, loss: 0.0902, grad_norm: 0.0234 2024-01-03 17:28:33,847 - mmseg - INFO - Iter [17250/38400] lr: 2.897e-03, eta: 0:23:14, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0947, decode.loss_grad: 0.0000, loss: 0.0947, grad_norm: 0.0247 2024-01-03 17:28:36,929 - mmseg - INFO - Iter [17300/38400] lr: 2.887e-03, eta: 0:23:10, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0933, decode.loss_grad: 0.0000, loss: 0.0933, grad_norm: 0.0235 2024-01-03 17:28:40,003 - mmseg - INFO - Iter [17350/38400] lr: 2.877e-03, eta: 0:23:07, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0927, decode.loss_grad: 0.0000, loss: 0.0927, grad_norm: 0.0230 2024-01-03 17:28:43,096 - mmseg - INFO - Iter [17400/38400] lr: 2.867e-03, eta: 0:23:03, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0923, decode.loss_grad: 0.0000, loss: 0.0923, grad_norm: 0.0234 2024-01-03 17:28:46,163 - mmseg - INFO - Iter [17450/38400] lr: 2.857e-03, eta: 0:22:59, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0929, decode.loss_grad: 0.0000, loss: 0.0929, grad_norm: 0.0241 2024-01-03 17:28:49,251 - mmseg - INFO - Iter [17500/38400] lr: 2.847e-03, eta: 0:22:56, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0911, decode.loss_grad: 0.0000, loss: 0.0911, grad_norm: 0.0227 2024-01-03 17:28:52,336 - mmseg - INFO - Iter [17550/38400] lr: 2.837e-03, eta: 0:22:52, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0936, decode.loss_grad: 0.0000, loss: 0.0936, grad_norm: 0.0239 2024-01-03 17:28:55,411 - mmseg - INFO - Saving checkpoint at 17600 iterations 2024-01-03 17:28:55,423 - mmseg - INFO - Iter [17600/38400] lr: 2.827e-03, eta: 0:22:49, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0953, decode.loss_grad: 0.0000, loss: 0.0953, grad_norm: 0.0237 2024-01-03 17:28:58,534 - mmseg - INFO - Iter [17650/38400] lr: 2.816e-03, eta: 0:22:45, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0925, decode.loss_grad: 0.0000, loss: 0.0925, grad_norm: 0.0230 2024-01-03 17:29:01,613 - mmseg - INFO - Iter [17700/38400] lr: 2.806e-03, eta: 0:22:42, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0920, decode.loss_grad: 0.0000, loss: 0.0920, grad_norm: 0.0231 2024-01-03 17:29:04,691 - mmseg - INFO - Iter [17750/38400] lr: 2.796e-03, eta: 0:22:38, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0947, decode.loss_grad: 0.0000, loss: 0.0947, grad_norm: 0.0241 2024-01-03 17:29:07,770 - mmseg - INFO - Iter [17800/38400] lr: 2.786e-03, eta: 0:22:35, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0930, decode.loss_grad: 0.0000, loss: 0.0930, grad_norm: 0.0239 2024-01-03 17:29:10,866 - mmseg - INFO - Iter [17850/38400] lr: 2.776e-03, eta: 0:22:31, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0932, decode.loss_grad: 0.0000, loss: 0.0932, grad_norm: 0.0231 2024-01-03 17:29:13,958 - mmseg - INFO - Iter [17900/38400] lr: 2.766e-03, eta: 0:22:28, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0922, decode.loss_grad: 0.0000, loss: 0.0922, grad_norm: 0.0231 2024-01-03 17:29:17,052 - mmseg - INFO - Iter [17950/38400] lr: 2.755e-03, eta: 0:22:24, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0942, decode.loss_grad: 0.0000, loss: 0.0942, grad_norm: 0.0239 2024-01-03 17:29:20,142 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:29:20,142 - mmseg - INFO - Iter [18000/38400] lr: 2.745e-03, eta: 0:22:21, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0935, decode.loss_grad: 0.0000, loss: 0.0935, grad_norm: 0.0242 2024-01-03 17:29:23,229 - mmseg - INFO - Iter [18050/38400] lr: 2.735e-03, eta: 0:22:17, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0914, decode.loss_grad: 0.0000, loss: 0.0914, grad_norm: 0.0228 2024-01-03 17:29:26,320 - mmseg - INFO - Iter [18100/38400] lr: 2.725e-03, eta: 0:22:14, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0933, decode.loss_grad: 0.0000, loss: 0.0933, grad_norm: 0.0235 2024-01-03 17:29:29,425 - mmseg - INFO - Iter [18150/38400] lr: 2.715e-03, eta: 0:22:10, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0928, decode.loss_grad: 0.0000, loss: 0.0928, grad_norm: 0.0230 2024-01-03 17:29:34,579 - mmseg - INFO - Iter [18200/38400] lr: 2.705e-03, eta: 0:22:09, time: 0.103, data_time: 0.043, memory: 877, decode.loss_depth: 0.0912, decode.loss_grad: 0.0000, loss: 0.0912, grad_norm: 0.0221 2024-01-03 17:29:37,667 - mmseg - INFO - Iter [18250/38400] lr: 2.694e-03, eta: 0:22:05, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0894, decode.loss_grad: 0.0000, loss: 0.0894, grad_norm: 0.0226 2024-01-03 17:29:40,759 - mmseg - INFO - Iter [18300/38400] lr: 2.684e-03, eta: 0:22:02, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0923, decode.loss_grad: 0.0000, loss: 0.0923, grad_norm: 0.0218 2024-01-03 17:29:43,863 - mmseg - INFO - Iter [18350/38400] lr: 2.674e-03, eta: 0:21:58, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0894, decode.loss_grad: 0.0000, loss: 0.0894, grad_norm: 0.0223 2024-01-03 17:29:46,947 - mmseg - INFO - Iter [18400/38400] lr: 2.664e-03, eta: 0:21:55, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0917, decode.loss_grad: 0.0000, loss: 0.0917, grad_norm: 0.0236 2024-01-03 17:29:50,034 - mmseg - INFO - Iter [18450/38400] lr: 2.654e-03, eta: 0:21:51, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0894, decode.loss_grad: 0.0000, loss: 0.0894, grad_norm: 0.0229 2024-01-03 17:29:53,121 - mmseg - INFO - Iter [18500/38400] lr: 2.643e-03, eta: 0:21:48, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0904, decode.loss_grad: 0.0000, loss: 0.0904, grad_norm: 0.0235 2024-01-03 17:29:56,201 - mmseg - INFO - Iter [18550/38400] lr: 2.633e-03, eta: 0:21:44, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0892, decode.loss_grad: 0.0000, loss: 0.0892, grad_norm: 0.0228 2024-01-03 17:29:59,313 - mmseg - INFO - Iter [18600/38400] lr: 2.623e-03, eta: 0:21:41, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0890, decode.loss_grad: 0.0000, loss: 0.0890, grad_norm: 0.0230 2024-01-03 17:30:02,398 - mmseg - INFO - Iter [18650/38400] lr: 2.613e-03, eta: 0:21:37, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0912, decode.loss_grad: 0.0000, loss: 0.0912, grad_norm: 0.0225 2024-01-03 17:30:05,493 - mmseg - INFO - Iter [18700/38400] lr: 2.602e-03, eta: 0:21:34, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0910, decode.loss_grad: 0.0000, loss: 0.0910, grad_norm: 0.0229 2024-01-03 17:30:08,573 - mmseg - INFO - Iter [18750/38400] lr: 2.592e-03, eta: 0:21:30, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0915, decode.loss_grad: 0.0000, loss: 0.0915, grad_norm: 0.0222 2024-01-03 17:30:11,652 - mmseg - INFO - Iter [18800/38400] lr: 2.582e-03, eta: 0:21:27, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0912, decode.loss_grad: 0.0000, loss: 0.0912, grad_norm: 0.0227 2024-01-03 17:30:14,781 - mmseg - INFO - Iter [18850/38400] lr: 2.572e-03, eta: 0:21:23, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0913, decode.loss_grad: 0.0000, loss: 0.0913, grad_norm: 0.0221 2024-01-03 17:30:17,870 - mmseg - INFO - Iter [18900/38400] lr: 2.562e-03, eta: 0:21:20, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0908, decode.loss_grad: 0.0000, loss: 0.0908, grad_norm: 0.0224 2024-01-03 17:30:20,944 - mmseg - INFO - Iter [18950/38400] lr: 2.551e-03, eta: 0:21:16, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0908, decode.loss_grad: 0.0000, loss: 0.0908, grad_norm: 0.0236 2024-01-03 17:30:24,075 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:30:24,075 - mmseg - INFO - Iter [19000/38400] lr: 2.541e-03, eta: 0:21:13, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0905, decode.loss_grad: 0.0000, loss: 0.0905, grad_norm: 0.0223 2024-01-03 17:30:27,162 - mmseg - INFO - Iter [19050/38400] lr: 2.531e-03, eta: 0:21:10, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0908, decode.loss_grad: 0.0000, loss: 0.0908, grad_norm: 0.0232 2024-01-03 17:30:30,244 - mmseg - INFO - Iter [19100/38400] lr: 2.521e-03, eta: 0:21:06, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0908, decode.loss_grad: 0.0000, loss: 0.0908, grad_norm: 0.0231 2024-01-03 17:30:33,330 - mmseg - INFO - Iter [19150/38400] lr: 2.510e-03, eta: 0:21:03, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0895, decode.loss_grad: 0.0000, loss: 0.0895, grad_norm: 0.0224 2024-01-03 17:30:36,507 - mmseg - INFO - Saving checkpoint at 19200 iterations 2024-01-03 17:30:36,523 - mmseg - INFO - Iter [19200/38400] lr: 2.500e-03, eta: 0:20:59, time: 0.064, data_time: 0.004, memory: 877, decode.loss_depth: 0.0914, decode.loss_grad: 0.0000, loss: 0.0914, grad_norm: 0.0228 2024-01-03 17:30:42,419 - mmseg - INFO - Summary: 2024-01-03 17:30:42,419 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.8641 | 0.9839 | 0.9978 | 0.1263 | 0.4091 | 0.0516 | 0.1489 | 11.4849 | 0.0696 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:30:42,419 - mmseg - INFO - Iter(val) [82] a1: 0.8641, a2: 0.9839, a3: 0.9978, abs_rel: 0.12631040811538696, rmse: 0.4091036319732666, log_10: 0.051641471683979034, rmse_log: 0.14890821278095245, silog: 11.4849, sq_rel: 0.06955814361572266 2024-01-03 17:30:45,592 - mmseg - INFO - Iter [19250/38400] lr: 2.490e-03, eta: 0:21:02, time: 0.181, data_time: 0.120, memory: 877, decode.loss_depth: 0.0881, decode.loss_grad: 0.0000, loss: 0.0881, grad_norm: 0.0225 2024-01-03 17:30:48,653 - mmseg - INFO - Iter [19300/38400] lr: 2.480e-03, eta: 0:20:58, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0913, decode.loss_grad: 0.0000, loss: 0.0913, grad_norm: 0.0231 2024-01-03 17:30:51,747 - mmseg - INFO - Iter [19350/38400] lr: 2.470e-03, eta: 0:20:55, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0898, decode.loss_grad: 0.0000, loss: 0.0898, grad_norm: 0.0224 2024-01-03 17:30:54,820 - mmseg - INFO - Iter [19400/38400] lr: 2.459e-03, eta: 0:20:51, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0900, decode.loss_grad: 0.0000, loss: 0.0900, grad_norm: 0.0215 2024-01-03 17:30:57,919 - mmseg - INFO - Iter [19450/38400] lr: 2.449e-03, eta: 0:20:48, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0910, decode.loss_grad: 0.0000, loss: 0.0910, grad_norm: 0.0225 2024-01-03 17:31:01,011 - mmseg - INFO - Iter [19500/38400] lr: 2.439e-03, eta: 0:20:44, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0891, decode.loss_grad: 0.0000, loss: 0.0891, grad_norm: 0.0219 2024-01-03 17:31:04,083 - mmseg - INFO - Iter [19550/38400] lr: 2.429e-03, eta: 0:20:41, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0908, decode.loss_grad: 0.0000, loss: 0.0908, grad_norm: 0.0234 2024-01-03 17:31:07,242 - mmseg - INFO - Iter [19600/38400] lr: 2.418e-03, eta: 0:20:37, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0897, decode.loss_grad: 0.0000, loss: 0.0897, grad_norm: 0.0234 2024-01-03 17:31:10,342 - mmseg - INFO - Iter [19650/38400] lr: 2.408e-03, eta: 0:20:34, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0907, decode.loss_grad: 0.0000, loss: 0.0907, grad_norm: 0.0233 2024-01-03 17:31:15,743 - mmseg - INFO - Iter [19700/38400] lr: 2.398e-03, eta: 0:20:33, time: 0.108, data_time: 0.043, memory: 877, decode.loss_depth: 0.0905, decode.loss_grad: 0.0000, loss: 0.0905, grad_norm: 0.0234 2024-01-03 17:31:18,822 - mmseg - INFO - Iter [19750/38400] lr: 2.388e-03, eta: 0:20:29, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0903, decode.loss_grad: 0.0000, loss: 0.0903, grad_norm: 0.0221 2024-01-03 17:31:21,905 - mmseg - INFO - Iter [19800/38400] lr: 2.378e-03, eta: 0:20:26, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0907, decode.loss_grad: 0.0000, loss: 0.0907, grad_norm: 0.0221 2024-01-03 17:31:24,985 - mmseg - INFO - Iter [19850/38400] lr: 2.367e-03, eta: 0:20:22, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0887, decode.loss_grad: 0.0000, loss: 0.0887, grad_norm: 0.0224 2024-01-03 17:31:28,068 - mmseg - INFO - Iter [19900/38400] lr: 2.357e-03, eta: 0:20:19, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0922, decode.loss_grad: 0.0000, loss: 0.0922, grad_norm: 0.0228 2024-01-03 17:31:31,169 - mmseg - INFO - Iter [19950/38400] lr: 2.347e-03, eta: 0:20:15, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0894, decode.loss_grad: 0.0000, loss: 0.0894, grad_norm: 0.0220 2024-01-03 17:31:34,252 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:31:34,252 - mmseg - INFO - Iter [20000/38400] lr: 2.337e-03, eta: 0:20:12, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0901, decode.loss_grad: 0.0000, loss: 0.0901, grad_norm: 0.0222 2024-01-03 17:31:37,335 - mmseg - INFO - Iter [20050/38400] lr: 2.326e-03, eta: 0:20:08, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0877, decode.loss_grad: 0.0000, loss: 0.0877, grad_norm: 0.0236 2024-01-03 17:31:40,421 - mmseg - INFO - Iter [20100/38400] lr: 2.316e-03, eta: 0:20:05, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0876, decode.loss_grad: 0.0000, loss: 0.0876, grad_norm: 0.0215 2024-01-03 17:31:43,505 - mmseg - INFO - Iter [20150/38400] lr: 2.306e-03, eta: 0:20:01, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0891, decode.loss_grad: 0.0000, loss: 0.0891, grad_norm: 0.0232 2024-01-03 17:31:46,583 - mmseg - INFO - Iter [20200/38400] lr: 2.296e-03, eta: 0:19:58, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0886, decode.loss_grad: 0.0000, loss: 0.0886, grad_norm: 0.0226 2024-01-03 17:31:49,666 - mmseg - INFO - Iter [20250/38400] lr: 2.286e-03, eta: 0:19:54, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0860, decode.loss_grad: 0.0000, loss: 0.0860, grad_norm: 0.0217 2024-01-03 17:31:52,751 - mmseg - INFO - Iter [20300/38400] lr: 2.276e-03, eta: 0:19:51, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0894, decode.loss_grad: 0.0000, loss: 0.0894, grad_norm: 0.0220 2024-01-03 17:31:55,823 - mmseg - INFO - Iter [20350/38400] lr: 2.265e-03, eta: 0:19:47, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0877, decode.loss_grad: 0.0000, loss: 0.0877, grad_norm: 0.0215 2024-01-03 17:31:58,909 - mmseg - INFO - Iter [20400/38400] lr: 2.255e-03, eta: 0:19:44, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0906, decode.loss_grad: 0.0000, loss: 0.0906, grad_norm: 0.0225 2024-01-03 17:32:01,982 - mmseg - INFO - Iter [20450/38400] lr: 2.245e-03, eta: 0:19:40, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0918, decode.loss_grad: 0.0000, loss: 0.0918, grad_norm: 0.0227 2024-01-03 17:32:05,059 - mmseg - INFO - Iter [20500/38400] lr: 2.235e-03, eta: 0:19:37, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0880, decode.loss_grad: 0.0000, loss: 0.0880, grad_norm: 0.0214 2024-01-03 17:32:08,141 - mmseg - INFO - Iter [20550/38400] lr: 2.225e-03, eta: 0:19:33, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0885, decode.loss_grad: 0.0000, loss: 0.0885, grad_norm: 0.0220 2024-01-03 17:32:11,242 - mmseg - INFO - Iter [20600/38400] lr: 2.214e-03, eta: 0:19:30, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0897, decode.loss_grad: 0.0000, loss: 0.0897, grad_norm: 0.0237 2024-01-03 17:32:14,329 - mmseg - INFO - Iter [20650/38400] lr: 2.204e-03, eta: 0:19:26, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0880, decode.loss_grad: 0.0000, loss: 0.0880, grad_norm: 0.0225 2024-01-03 17:32:17,416 - mmseg - INFO - Iter [20700/38400] lr: 2.194e-03, eta: 0:19:23, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0880, decode.loss_grad: 0.0000, loss: 0.0880, grad_norm: 0.0219 2024-01-03 17:32:20,546 - mmseg - INFO - Iter [20750/38400] lr: 2.184e-03, eta: 0:19:20, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0887, decode.loss_grad: 0.0000, loss: 0.0887, grad_norm: 0.0228 2024-01-03 17:32:23,609 - mmseg - INFO - Saving checkpoint at 20800 iterations 2024-01-03 17:32:23,621 - mmseg - INFO - Iter [20800/38400] lr: 2.174e-03, eta: 0:19:16, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0882, decode.loss_grad: 0.0000, loss: 0.0882, grad_norm: 0.0221 2024-01-03 17:32:26,712 - mmseg - INFO - Iter [20850/38400] lr: 2.164e-03, eta: 0:19:13, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0885, decode.loss_grad: 0.0000, loss: 0.0885, grad_norm: 0.0222 2024-01-03 17:32:29,797 - mmseg - INFO - Iter [20900/38400] lr: 2.154e-03, eta: 0:19:09, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0871, decode.loss_grad: 0.0000, loss: 0.0871, grad_norm: 0.0230 2024-01-03 17:32:32,856 - mmseg - INFO - Iter [20950/38400] lr: 2.143e-03, eta: 0:19:06, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0884, decode.loss_grad: 0.0000, loss: 0.0884, grad_norm: 0.0227 2024-01-03 17:32:35,920 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:32:35,920 - mmseg - INFO - Iter [21000/38400] lr: 2.133e-03, eta: 0:19:02, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0878, decode.loss_grad: 0.0000, loss: 0.0878, grad_norm: 0.0220 2024-01-03 17:32:38,997 - mmseg - INFO - Iter [21050/38400] lr: 2.123e-03, eta: 0:18:59, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0880, decode.loss_grad: 0.0000, loss: 0.0880, grad_norm: 0.0219 2024-01-03 17:32:42,074 - mmseg - INFO - Iter [21100/38400] lr: 2.113e-03, eta: 0:18:55, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0896, decode.loss_grad: 0.0000, loss: 0.0896, grad_norm: 0.0222 2024-01-03 17:32:45,155 - mmseg - INFO - Iter [21150/38400] lr: 2.103e-03, eta: 0:18:52, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0873, decode.loss_grad: 0.0000, loss: 0.0873, grad_norm: 0.0218 2024-01-03 17:32:50,320 - mmseg - INFO - Iter [21200/38400] lr: 2.093e-03, eta: 0:18:50, time: 0.103, data_time: 0.043, memory: 877, decode.loss_depth: 0.0870, decode.loss_grad: 0.0000, loss: 0.0870, grad_norm: 0.0220 2024-01-03 17:32:53,505 - mmseg - INFO - Iter [21250/38400] lr: 2.083e-03, eta: 0:18:47, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.0867, decode.loss_grad: 0.0000, loss: 0.0867, grad_norm: 0.0214 2024-01-03 17:32:56,599 - mmseg - INFO - Iter [21300/38400] lr: 2.073e-03, eta: 0:18:43, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0893, decode.loss_grad: 0.0000, loss: 0.0893, grad_norm: 0.0236 2024-01-03 17:32:59,681 - mmseg - INFO - Iter [21350/38400] lr: 2.063e-03, eta: 0:18:40, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0880, decode.loss_grad: 0.0000, loss: 0.0880, grad_norm: 0.0229 2024-01-03 17:33:02,795 - mmseg - INFO - Iter [21400/38400] lr: 2.053e-03, eta: 0:18:36, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0866, decode.loss_grad: 0.0000, loss: 0.0866, grad_norm: 0.0218 2024-01-03 17:33:05,880 - mmseg - INFO - Iter [21450/38400] lr: 2.043e-03, eta: 0:18:33, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0877, decode.loss_grad: 0.0000, loss: 0.0877, grad_norm: 0.0216 2024-01-03 17:33:08,976 - mmseg - INFO - Iter [21500/38400] lr: 2.033e-03, eta: 0:18:30, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0881, decode.loss_grad: 0.0000, loss: 0.0881, grad_norm: 0.0223 2024-01-03 17:33:12,075 - mmseg - INFO - Iter [21550/38400] lr: 2.023e-03, eta: 0:18:26, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0861, decode.loss_grad: 0.0000, loss: 0.0861, grad_norm: 0.0222 2024-01-03 17:33:15,259 - mmseg - INFO - Iter [21600/38400] lr: 2.012e-03, eta: 0:18:23, time: 0.064, data_time: 0.003, memory: 877, decode.loss_depth: 0.0867, decode.loss_grad: 0.0000, loss: 0.0867, grad_norm: 0.0221 2024-01-03 17:33:18,351 - mmseg - INFO - Iter [21650/38400] lr: 2.002e-03, eta: 0:18:19, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0885, decode.loss_grad: 0.0000, loss: 0.0885, grad_norm: 0.0220 2024-01-03 17:33:21,457 - mmseg - INFO - Iter [21700/38400] lr: 1.992e-03, eta: 0:18:16, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0867, decode.loss_grad: 0.0000, loss: 0.0867, grad_norm: 0.0216 2024-01-03 17:33:24,578 - mmseg - INFO - Iter [21750/38400] lr: 1.982e-03, eta: 0:18:12, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0859, decode.loss_grad: 0.0000, loss: 0.0859, grad_norm: 0.0212 2024-01-03 17:33:27,665 - mmseg - INFO - Iter [21800/38400] lr: 1.972e-03, eta: 0:18:09, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0859, decode.loss_grad: 0.0000, loss: 0.0859, grad_norm: 0.0219 2024-01-03 17:33:30,741 - mmseg - INFO - Iter [21850/38400] lr: 1.962e-03, eta: 0:18:06, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0848, decode.loss_grad: 0.0000, loss: 0.0848, grad_norm: 0.0227 2024-01-03 17:33:33,839 - mmseg - INFO - Iter [21900/38400] lr: 1.952e-03, eta: 0:18:02, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0899, decode.loss_grad: 0.0000, loss: 0.0899, grad_norm: 0.0222 2024-01-03 17:33:36,929 - mmseg - INFO - Iter [21950/38400] lr: 1.942e-03, eta: 0:17:59, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0875, decode.loss_grad: 0.0000, loss: 0.0875, grad_norm: 0.0223 2024-01-03 17:33:40,021 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:33:40,021 - mmseg - INFO - Iter [22000/38400] lr: 1.933e-03, eta: 0:17:55, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0872, decode.loss_grad: 0.0000, loss: 0.0872, grad_norm: 0.0220 2024-01-03 17:33:43,110 - mmseg - INFO - Iter [22050/38400] lr: 1.923e-03, eta: 0:17:52, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0860, decode.loss_grad: 0.0000, loss: 0.0860, grad_norm: 0.0214 2024-01-03 17:33:46,213 - mmseg - INFO - Iter [22100/38400] lr: 1.913e-03, eta: 0:17:49, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0870, decode.loss_grad: 0.0000, loss: 0.0870, grad_norm: 0.0222 2024-01-03 17:33:49,312 - mmseg - INFO - Iter [22150/38400] lr: 1.903e-03, eta: 0:17:45, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0873, decode.loss_grad: 0.0000, loss: 0.0873, grad_norm: 0.0217 2024-01-03 17:33:52,409 - mmseg - INFO - Iter [22200/38400] lr: 1.893e-03, eta: 0:17:42, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0872, decode.loss_grad: 0.0000, loss: 0.0872, grad_norm: 0.0227 2024-01-03 17:33:55,492 - mmseg - INFO - Iter [22250/38400] lr: 1.883e-03, eta: 0:17:38, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0865, decode.loss_grad: 0.0000, loss: 0.0865, grad_norm: 0.0223 2024-01-03 17:33:58,600 - mmseg - INFO - Iter [22300/38400] lr: 1.873e-03, eta: 0:17:35, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0885, decode.loss_grad: 0.0000, loss: 0.0885, grad_norm: 0.0218 2024-01-03 17:34:01,689 - mmseg - INFO - Iter [22350/38400] lr: 1.863e-03, eta: 0:17:31, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0880, decode.loss_grad: 0.0000, loss: 0.0880, grad_norm: 0.0219 2024-01-03 17:34:04,762 - mmseg - INFO - Saving checkpoint at 22400 iterations 2024-01-03 17:34:04,778 - mmseg - INFO - Iter [22400/38400] lr: 1.853e-03, eta: 0:17:28, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0885, decode.loss_grad: 0.0000, loss: 0.0885, grad_norm: 0.0223 2024-01-03 17:34:10,658 - mmseg - INFO - Summary: 2024-01-03 17:34:10,658 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.8633 | 0.9834 | 0.9978 | 0.1262 | 0.4134 | 0.0517 | 0.1493 | 11.4659 | 0.0714 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:34:10,659 - mmseg - INFO - Iter(val) [82] a1: 0.8633, a2: 0.9834, a3: 0.9978, abs_rel: 0.12616656720638275, rmse: 0.41337668895721436, log_10: 0.051703572273254395, rmse_log: 0.14928464591503143, silog: 11.4659, sq_rel: 0.0713617131114006 2024-01-03 17:34:13,743 - mmseg - INFO - Iter [22450/38400] lr: 1.843e-03, eta: 0:17:29, time: 0.179, data_time: 0.119, memory: 877, decode.loss_depth: 0.0874, decode.loss_grad: 0.0000, loss: 0.0874, grad_norm: 0.0228 2024-01-03 17:34:16,807 - mmseg - INFO - Iter [22500/38400] lr: 1.833e-03, eta: 0:17:25, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0877, decode.loss_grad: 0.0000, loss: 0.0877, grad_norm: 0.0231 2024-01-03 17:34:19,908 - mmseg - INFO - Iter [22550/38400] lr: 1.824e-03, eta: 0:17:22, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0861, decode.loss_grad: 0.0000, loss: 0.0861, grad_norm: 0.0228 2024-01-03 17:34:22,980 - mmseg - INFO - Iter [22600/38400] lr: 1.814e-03, eta: 0:17:19, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0862, decode.loss_grad: 0.0000, loss: 0.0862, grad_norm: 0.0217 2024-01-03 17:34:26,072 - mmseg - INFO - Iter [22650/38400] lr: 1.804e-03, eta: 0:17:15, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0869, decode.loss_grad: 0.0000, loss: 0.0869, grad_norm: 0.0225 2024-01-03 17:34:29,228 - mmseg - INFO - Iter [22700/38400] lr: 1.794e-03, eta: 0:17:12, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0884, decode.loss_grad: 0.0000, loss: 0.0884, grad_norm: 0.0232 2024-01-03 17:34:34,423 - mmseg - INFO - Iter [22750/38400] lr: 1.784e-03, eta: 0:17:10, time: 0.104, data_time: 0.043, memory: 877, decode.loss_depth: 0.0853, decode.loss_grad: 0.0000, loss: 0.0853, grad_norm: 0.0222 2024-01-03 17:34:37,477 - mmseg - INFO - Iter [22800/38400] lr: 1.774e-03, eta: 0:17:06, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0863, decode.loss_grad: 0.0000, loss: 0.0863, grad_norm: 0.0218 2024-01-03 17:34:40,548 - mmseg - INFO - Iter [22850/38400] lr: 1.765e-03, eta: 0:17:03, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0862, decode.loss_grad: 0.0000, loss: 0.0862, grad_norm: 0.0223 2024-01-03 17:34:43,640 - mmseg - INFO - Iter [22900/38400] lr: 1.755e-03, eta: 0:16:59, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0855, decode.loss_grad: 0.0000, loss: 0.0855, grad_norm: 0.0213 2024-01-03 17:34:46,736 - mmseg - INFO - Iter [22950/38400] lr: 1.745e-03, eta: 0:16:56, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0837, decode.loss_grad: 0.0000, loss: 0.0837, grad_norm: 0.0212 2024-01-03 17:34:49,836 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:34:49,836 - mmseg - INFO - Iter [23000/38400] lr: 1.735e-03, eta: 0:16:53, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0862, decode.loss_grad: 0.0000, loss: 0.0862, grad_norm: 0.0225 2024-01-03 17:34:52,917 - mmseg - INFO - Iter [23050/38400] lr: 1.726e-03, eta: 0:16:49, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0873, decode.loss_grad: 0.0000, loss: 0.0873, grad_norm: 0.0217 2024-01-03 17:34:56,004 - mmseg - INFO - Iter [23100/38400] lr: 1.716e-03, eta: 0:16:46, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0879, decode.loss_grad: 0.0000, loss: 0.0879, grad_norm: 0.0225 2024-01-03 17:34:59,069 - mmseg - INFO - Iter [23150/38400] lr: 1.706e-03, eta: 0:16:42, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0841, decode.loss_grad: 0.0000, loss: 0.0841, grad_norm: 0.0219 2024-01-03 17:35:02,187 - mmseg - INFO - Iter [23200/38400] lr: 1.697e-03, eta: 0:16:39, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0865, decode.loss_grad: 0.0000, loss: 0.0865, grad_norm: 0.0220 2024-01-03 17:35:05,236 - mmseg - INFO - Iter [23250/38400] lr: 1.687e-03, eta: 0:16:35, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0857, decode.loss_grad: 0.0000, loss: 0.0857, grad_norm: 0.0209 2024-01-03 17:35:08,309 - mmseg - INFO - Iter [23300/38400] lr: 1.677e-03, eta: 0:16:32, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0877, decode.loss_grad: 0.0000, loss: 0.0877, grad_norm: 0.0227 2024-01-03 17:35:11,495 - mmseg - INFO - Iter [23350/38400] lr: 1.668e-03, eta: 0:16:29, time: 0.064, data_time: 0.003, memory: 877, decode.loss_depth: 0.0864, decode.loss_grad: 0.0000, loss: 0.0864, grad_norm: 0.0223 2024-01-03 17:35:14,599 - mmseg - INFO - Iter [23400/38400] lr: 1.658e-03, eta: 0:16:25, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0835, decode.loss_grad: 0.0000, loss: 0.0835, grad_norm: 0.0210 2024-01-03 17:35:17,687 - mmseg - INFO - Iter [23450/38400] lr: 1.648e-03, eta: 0:16:22, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0843, decode.loss_grad: 0.0000, loss: 0.0843, grad_norm: 0.0207 2024-01-03 17:35:20,772 - mmseg - INFO - Iter [23500/38400] lr: 1.639e-03, eta: 0:16:18, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0860, decode.loss_grad: 0.0000, loss: 0.0860, grad_norm: 0.0213 2024-01-03 17:35:23,857 - mmseg - INFO - Iter [23550/38400] lr: 1.629e-03, eta: 0:16:15, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0834, decode.loss_grad: 0.0000, loss: 0.0834, grad_norm: 0.0209 2024-01-03 17:35:26,937 - mmseg - INFO - Iter [23600/38400] lr: 1.620e-03, eta: 0:16:12, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0856, decode.loss_grad: 0.0000, loss: 0.0856, grad_norm: 0.0225 2024-01-03 17:35:30,022 - mmseg - INFO - Iter [23650/38400] lr: 1.610e-03, eta: 0:16:08, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0858, decode.loss_grad: 0.0000, loss: 0.0858, grad_norm: 0.0211 2024-01-03 17:35:33,095 - mmseg - INFO - Iter [23700/38400] lr: 1.600e-03, eta: 0:16:05, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0859, decode.loss_grad: 0.0000, loss: 0.0859, grad_norm: 0.0212 2024-01-03 17:35:36,175 - mmseg - INFO - Iter [23750/38400] lr: 1.591e-03, eta: 0:16:01, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0865, decode.loss_grad: 0.0000, loss: 0.0865, grad_norm: 0.0233 2024-01-03 17:35:39,276 - mmseg - INFO - Iter [23800/38400] lr: 1.581e-03, eta: 0:15:58, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0849, decode.loss_grad: 0.0000, loss: 0.0849, grad_norm: 0.0212 2024-01-03 17:35:42,352 - mmseg - INFO - Iter [23850/38400] lr: 1.572e-03, eta: 0:15:55, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0852, decode.loss_grad: 0.0000, loss: 0.0852, grad_norm: 0.0226 2024-01-03 17:35:45,453 - mmseg - INFO - Iter [23900/38400] lr: 1.562e-03, eta: 0:15:51, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0862, decode.loss_grad: 0.0000, loss: 0.0862, grad_norm: 0.0213 2024-01-03 17:35:48,545 - mmseg - INFO - Iter [23950/38400] lr: 1.553e-03, eta: 0:15:48, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0847, decode.loss_grad: 0.0000, loss: 0.0847, grad_norm: 0.0218 2024-01-03 17:35:51,637 - mmseg - INFO - Saving checkpoint at 24000 iterations 2024-01-03 17:35:51,650 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:35:51,650 - mmseg - INFO - Iter [24000/38400] lr: 1.543e-03, eta: 0:15:44, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0870, decode.loss_grad: 0.0000, loss: 0.0870, grad_norm: 0.0228 2024-01-03 17:35:54,736 - mmseg - INFO - Iter [24050/38400] lr: 1.534e-03, eta: 0:15:41, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0849, decode.loss_grad: 0.0000, loss: 0.0849, grad_norm: 0.0215 2024-01-03 17:35:57,805 - mmseg - INFO - Iter [24100/38400] lr: 1.525e-03, eta: 0:15:38, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0852, decode.loss_grad: 0.0000, loss: 0.0852, grad_norm: 0.0216 2024-01-03 17:36:00,888 - mmseg - INFO - Iter [24150/38400] lr: 1.515e-03, eta: 0:15:34, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0868, decode.loss_grad: 0.0000, loss: 0.0868, grad_norm: 0.0225 2024-01-03 17:36:03,960 - mmseg - INFO - Iter [24200/38400] lr: 1.506e-03, eta: 0:15:31, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0846, decode.loss_grad: 0.0000, loss: 0.0846, grad_norm: 0.0229 2024-01-03 17:36:09,161 - mmseg - INFO - Iter [24250/38400] lr: 1.496e-03, eta: 0:15:29, time: 0.104, data_time: 0.044, memory: 877, decode.loss_depth: 0.0844, decode.loss_grad: 0.0000, loss: 0.0844, grad_norm: 0.0212 2024-01-03 17:36:12,238 - mmseg - INFO - Iter [24300/38400] lr: 1.487e-03, eta: 0:15:25, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0852, decode.loss_grad: 0.0000, loss: 0.0852, grad_norm: 0.0216 2024-01-03 17:36:15,518 - mmseg - INFO - Iter [24350/38400] lr: 1.478e-03, eta: 0:15:22, time: 0.066, data_time: 0.002, memory: 877, decode.loss_depth: 0.0859, decode.loss_grad: 0.0000, loss: 0.0859, grad_norm: 0.0219 2024-01-03 17:36:18,616 - mmseg - INFO - Iter [24400/38400] lr: 1.468e-03, eta: 0:15:19, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0845, decode.loss_grad: 0.0000, loss: 0.0845, grad_norm: 0.0220 2024-01-03 17:36:21,683 - mmseg - INFO - Iter [24450/38400] lr: 1.459e-03, eta: 0:15:15, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0871, decode.loss_grad: 0.0000, loss: 0.0871, grad_norm: 0.0228 2024-01-03 17:36:24,773 - mmseg - INFO - Iter [24500/38400] lr: 1.450e-03, eta: 0:15:12, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0851, decode.loss_grad: 0.0000, loss: 0.0851, grad_norm: 0.0220 2024-01-03 17:36:27,856 - mmseg - INFO - Iter [24550/38400] lr: 1.441e-03, eta: 0:15:08, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0849, decode.loss_grad: 0.0000, loss: 0.0849, grad_norm: 0.0214 2024-01-03 17:36:30,947 - mmseg - INFO - Iter [24600/38400] lr: 1.431e-03, eta: 0:15:05, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0849, decode.loss_grad: 0.0000, loss: 0.0849, grad_norm: 0.0226 2024-01-03 17:36:34,028 - mmseg - INFO - Iter [24650/38400] lr: 1.422e-03, eta: 0:15:02, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0850, decode.loss_grad: 0.0000, loss: 0.0850, grad_norm: 0.0218 2024-01-03 17:36:37,111 - mmseg - INFO - Iter [24700/38400] lr: 1.413e-03, eta: 0:14:58, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0836, decode.loss_grad: 0.0000, loss: 0.0836, grad_norm: 0.0219 2024-01-03 17:36:40,193 - mmseg - INFO - Iter [24750/38400] lr: 1.404e-03, eta: 0:14:55, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0868, decode.loss_grad: 0.0000, loss: 0.0868, grad_norm: 0.0219 2024-01-03 17:36:43,256 - mmseg - INFO - Iter [24800/38400] lr: 1.394e-03, eta: 0:14:51, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0837, decode.loss_grad: 0.0000, loss: 0.0837, grad_norm: 0.0211 2024-01-03 17:36:46,324 - mmseg - INFO - Iter [24850/38400] lr: 1.385e-03, eta: 0:14:48, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0859, decode.loss_grad: 0.0000, loss: 0.0859, grad_norm: 0.0220 2024-01-03 17:36:49,432 - mmseg - INFO - Iter [24900/38400] lr: 1.376e-03, eta: 0:14:45, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0848, decode.loss_grad: 0.0000, loss: 0.0848, grad_norm: 0.0220 2024-01-03 17:36:52,511 - mmseg - INFO - Iter [24950/38400] lr: 1.367e-03, eta: 0:14:41, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0835, decode.loss_grad: 0.0000, loss: 0.0835, grad_norm: 0.0218 2024-01-03 17:36:55,588 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:36:55,588 - mmseg - INFO - Iter [25000/38400] lr: 1.358e-03, eta: 0:14:38, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0855, decode.loss_grad: 0.0000, loss: 0.0855, grad_norm: 0.0224 2024-01-03 17:36:58,674 - mmseg - INFO - Iter [25050/38400] lr: 1.349e-03, eta: 0:14:35, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0825, decode.loss_grad: 0.0000, loss: 0.0825, grad_norm: 0.0211 2024-01-03 17:37:01,746 - mmseg - INFO - Iter [25100/38400] lr: 1.340e-03, eta: 0:14:31, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0835, decode.loss_grad: 0.0000, loss: 0.0835, grad_norm: 0.0227 2024-01-03 17:37:04,843 - mmseg - INFO - Iter [25150/38400] lr: 1.331e-03, eta: 0:14:28, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0840, decode.loss_grad: 0.0000, loss: 0.0840, grad_norm: 0.0221 2024-01-03 17:37:07,923 - mmseg - INFO - Iter [25200/38400] lr: 1.322e-03, eta: 0:14:24, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0850, decode.loss_grad: 0.0000, loss: 0.0850, grad_norm: 0.0221 2024-01-03 17:37:11,094 - mmseg - INFO - Iter [25250/38400] lr: 1.313e-03, eta: 0:14:21, time: 0.063, data_time: 0.004, memory: 877, decode.loss_depth: 0.0824, decode.loss_grad: 0.0000, loss: 0.0824, grad_norm: 0.0209 2024-01-03 17:37:14,182 - mmseg - INFO - Iter [25300/38400] lr: 1.304e-03, eta: 0:14:18, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0843, decode.loss_grad: 0.0000, loss: 0.0843, grad_norm: 0.0216 2024-01-03 17:37:17,268 - mmseg - INFO - Iter [25350/38400] lr: 1.295e-03, eta: 0:14:14, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0816, decode.loss_grad: 0.0000, loss: 0.0816, grad_norm: 0.0221 2024-01-03 17:37:20,364 - mmseg - INFO - Iter [25400/38400] lr: 1.286e-03, eta: 0:14:11, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0835, decode.loss_grad: 0.0000, loss: 0.0835, grad_norm: 0.0216 2024-01-03 17:37:23,435 - mmseg - INFO - Iter [25450/38400] lr: 1.277e-03, eta: 0:14:08, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0852, decode.loss_grad: 0.0000, loss: 0.0852, grad_norm: 0.0223 2024-01-03 17:37:26,518 - mmseg - INFO - Iter [25500/38400] lr: 1.268e-03, eta: 0:14:04, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0829, decode.loss_grad: 0.0000, loss: 0.0829, grad_norm: 0.0217 2024-01-03 17:37:29,600 - mmseg - INFO - Iter [25550/38400] lr: 1.259e-03, eta: 0:14:01, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0842, decode.loss_grad: 0.0000, loss: 0.0842, grad_norm: 0.0222 2024-01-03 17:37:32,716 - mmseg - INFO - Saving checkpoint at 25600 iterations 2024-01-03 17:37:32,734 - mmseg - INFO - Iter [25600/38400] lr: 1.250e-03, eta: 0:13:57, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0849, decode.loss_grad: 0.0000, loss: 0.0849, grad_norm: 0.0219 2024-01-03 17:37:38,631 - mmseg - INFO - Summary: 2024-01-03 17:37:38,631 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.8692 | 0.9838 | 0.9979 | 0.1237 | 0.4058 | 0.0507 | 0.1471 | 11.4709 | 0.0687 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:37:38,633 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/original/vit_base_patch14_dinov2.lvd142m/best_abs_rel_iter_16000.pth was removed 2024-01-03 17:37:38,645 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_25600.pth. 2024-01-03 17:37:38,645 - mmseg - INFO - Best abs_rel is 0.1237 at 25600 iter. 2024-01-03 17:37:38,646 - mmseg - INFO - Iter(val) [82] a1: 0.8692, a2: 0.9838, a3: 0.9979, abs_rel: 0.1237364336848259, rmse: 0.4057667553424835, log_10: 0.05072290822863579, rmse_log: 0.14710968732833862, silog: 11.4709, sq_rel: 0.06867440044879913 2024-01-03 17:37:41,723 - mmseg - INFO - Iter [25650/38400] lr: 1.241e-03, eta: 0:13:57, time: 0.180, data_time: 0.120, memory: 877, decode.loss_depth: 0.0842, decode.loss_grad: 0.0000, loss: 0.0842, grad_norm: 0.0222 2024-01-03 17:37:44,806 - mmseg - INFO - Iter [25700/38400] lr: 1.233e-03, eta: 0:13:54, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0850, decode.loss_grad: 0.0000, loss: 0.0850, grad_norm: 0.0216 2024-01-03 17:37:49,959 - mmseg - INFO - Iter [25750/38400] lr: 1.224e-03, eta: 0:13:51, time: 0.103, data_time: 0.043, memory: 877, decode.loss_depth: 0.0838, decode.loss_grad: 0.0000, loss: 0.0838, grad_norm: 0.0219 2024-01-03 17:37:53,101 - mmseg - INFO - Iter [25800/38400] lr: 1.215e-03, eta: 0:13:48, time: 0.063, data_time: 0.003, memory: 877, decode.loss_depth: 0.0835, decode.loss_grad: 0.0000, loss: 0.0835, grad_norm: 0.0216 2024-01-03 17:37:56,189 - mmseg - INFO - Iter [25850/38400] lr: 1.206e-03, eta: 0:13:45, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0820, decode.loss_grad: 0.0000, loss: 0.0820, grad_norm: 0.0209 2024-01-03 17:37:59,285 - mmseg - INFO - Iter [25900/38400] lr: 1.197e-03, eta: 0:13:41, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0833, decode.loss_grad: 0.0000, loss: 0.0833, grad_norm: 0.0209 2024-01-03 17:38:02,377 - mmseg - INFO - Iter [25950/38400] lr: 1.189e-03, eta: 0:13:38, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0831, decode.loss_grad: 0.0000, loss: 0.0831, grad_norm: 0.0215 2024-01-03 17:38:05,470 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:38:05,470 - mmseg - INFO - Iter [26000/38400] lr: 1.180e-03, eta: 0:13:34, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0840, decode.loss_grad: 0.0000, loss: 0.0840, grad_norm: 0.0215 2024-01-03 17:38:08,543 - mmseg - INFO - Iter [26050/38400] lr: 1.171e-03, eta: 0:13:31, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0829, decode.loss_grad: 0.0000, loss: 0.0829, grad_norm: 0.0208 2024-01-03 17:38:11,619 - mmseg - INFO - Iter [26100/38400] lr: 1.163e-03, eta: 0:13:28, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0814, decode.loss_grad: 0.0000, loss: 0.0814, grad_norm: 0.0207 2024-01-03 17:38:14,699 - mmseg - INFO - Iter [26150/38400] lr: 1.154e-03, eta: 0:13:24, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0836, decode.loss_grad: 0.0000, loss: 0.0836, grad_norm: 0.0218 2024-01-03 17:38:17,772 - mmseg - INFO - Iter [26200/38400] lr: 1.145e-03, eta: 0:13:21, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0838, decode.loss_grad: 0.0000, loss: 0.0838, grad_norm: 0.0217 2024-01-03 17:38:20,848 - mmseg - INFO - Iter [26250/38400] lr: 1.137e-03, eta: 0:13:17, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0830, decode.loss_grad: 0.0000, loss: 0.0830, grad_norm: 0.0218 2024-01-03 17:38:24,037 - mmseg - INFO - Iter [26300/38400] lr: 1.128e-03, eta: 0:13:14, time: 0.064, data_time: 0.004, memory: 877, decode.loss_depth: 0.0830, decode.loss_grad: 0.0000, loss: 0.0830, grad_norm: 0.0215 2024-01-03 17:38:27,122 - mmseg - INFO - Iter [26350/38400] lr: 1.120e-03, eta: 0:13:11, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0816, decode.loss_grad: 0.0000, loss: 0.0816, grad_norm: 0.0217 2024-01-03 17:38:30,240 - mmseg - INFO - Iter [26400/38400] lr: 1.111e-03, eta: 0:13:07, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0833, decode.loss_grad: 0.0000, loss: 0.0833, grad_norm: 0.0216 2024-01-03 17:38:33,319 - mmseg - INFO - Iter [26450/38400] lr: 1.103e-03, eta: 0:13:04, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0833, decode.loss_grad: 0.0000, loss: 0.0833, grad_norm: 0.0208 2024-01-03 17:38:36,480 - mmseg - INFO - Iter [26500/38400] lr: 1.094e-03, eta: 0:13:01, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0841, decode.loss_grad: 0.0000, loss: 0.0841, grad_norm: 0.0220 2024-01-03 17:38:39,585 - mmseg - INFO - Iter [26550/38400] lr: 1.086e-03, eta: 0:12:57, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0824, decode.loss_grad: 0.0000, loss: 0.0824, grad_norm: 0.0213 2024-01-03 17:38:42,677 - mmseg - INFO - Iter [26600/38400] lr: 1.077e-03, eta: 0:12:54, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0830, decode.loss_grad: 0.0000, loss: 0.0830, grad_norm: 0.0219 2024-01-03 17:38:45,897 - mmseg - INFO - Iter [26650/38400] lr: 1.069e-03, eta: 0:12:51, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.0838, decode.loss_grad: 0.0000, loss: 0.0838, grad_norm: 0.0220 2024-01-03 17:38:48,985 - mmseg - INFO - Iter [26700/38400] lr: 1.061e-03, eta: 0:12:47, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0821, decode.loss_grad: 0.0000, loss: 0.0821, grad_norm: 0.0216 2024-01-03 17:38:52,056 - mmseg - INFO - Iter [26750/38400] lr: 1.052e-03, eta: 0:12:44, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0828, decode.loss_grad: 0.0000, loss: 0.0828, grad_norm: 0.0207 2024-01-03 17:38:55,135 - mmseg - INFO - Iter [26800/38400] lr: 1.044e-03, eta: 0:12:41, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0830, decode.loss_grad: 0.0000, loss: 0.0830, grad_norm: 0.0216 2024-01-03 17:38:58,211 - mmseg - INFO - Iter [26850/38400] lr: 1.036e-03, eta: 0:12:37, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0846, decode.loss_grad: 0.0000, loss: 0.0846, grad_norm: 0.0212 2024-01-03 17:39:01,295 - mmseg - INFO - Iter [26900/38400] lr: 1.027e-03, eta: 0:12:34, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0809, decode.loss_grad: 0.0000, loss: 0.0809, grad_norm: 0.0210 2024-01-03 17:39:04,374 - mmseg - INFO - Iter [26950/38400] lr: 1.019e-03, eta: 0:12:30, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0841, decode.loss_grad: 0.0000, loss: 0.0841, grad_norm: 0.0212 2024-01-03 17:39:07,637 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:39:07,637 - mmseg - INFO - Iter [27000/38400] lr: 1.011e-03, eta: 0:12:27, time: 0.065, data_time: 0.002, memory: 877, decode.loss_depth: 0.0832, decode.loss_grad: 0.0000, loss: 0.0832, grad_norm: 0.0215 2024-01-03 17:39:10,743 - mmseg - INFO - Iter [27050/38400] lr: 1.003e-03, eta: 0:12:24, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0829, decode.loss_grad: 0.0000, loss: 0.0829, grad_norm: 0.0221 2024-01-03 17:39:13,845 - mmseg - INFO - Iter [27100/38400] lr: 9.945e-04, eta: 0:12:20, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0836, decode.loss_grad: 0.0000, loss: 0.0836, grad_norm: 0.0215 2024-01-03 17:39:16,940 - mmseg - INFO - Iter [27150/38400] lr: 9.864e-04, eta: 0:12:17, time: 0.062, data_time: 0.001, memory: 877, decode.loss_depth: 0.0834, decode.loss_grad: 0.0000, loss: 0.0834, grad_norm: 0.0224 2024-01-03 17:39:20,021 - mmseg - INFO - Saving checkpoint at 27200 iterations 2024-01-03 17:39:20,034 - mmseg - INFO - Iter [27200/38400] lr: 9.783e-04, eta: 0:12:14, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0830, decode.loss_grad: 0.0000, loss: 0.0830, grad_norm: 0.0220 2024-01-03 17:39:23,120 - mmseg - INFO - Iter [27250/38400] lr: 9.702e-04, eta: 0:12:10, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0812, decode.loss_grad: 0.0000, loss: 0.0812, grad_norm: 0.0207 2024-01-03 17:39:28,336 - mmseg - INFO - Iter [27300/38400] lr: 9.621e-04, eta: 0:12:08, time: 0.104, data_time: 0.043, memory: 877, decode.loss_depth: 0.0828, decode.loss_grad: 0.0000, loss: 0.0828, grad_norm: 0.0209 2024-01-03 17:39:31,413 - mmseg - INFO - Iter [27350/38400] lr: 9.540e-04, eta: 0:12:05, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0822, decode.loss_grad: 0.0000, loss: 0.0822, grad_norm: 0.0218 2024-01-03 17:39:34,500 - mmseg - INFO - Iter [27400/38400] lr: 9.460e-04, eta: 0:12:01, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0819, decode.loss_grad: 0.0000, loss: 0.0819, grad_norm: 0.0221 2024-01-03 17:39:37,662 - mmseg - INFO - Iter [27450/38400] lr: 9.380e-04, eta: 0:11:58, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0819, decode.loss_grad: 0.0000, loss: 0.0819, grad_norm: 0.0206 2024-01-03 17:39:40,740 - mmseg - INFO - Iter [27500/38400] lr: 9.300e-04, eta: 0:11:55, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0821, decode.loss_grad: 0.0000, loss: 0.0821, grad_norm: 0.0214 2024-01-03 17:39:43,821 - mmseg - INFO - Iter [27550/38400] lr: 9.221e-04, eta: 0:11:51, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0827, decode.loss_grad: 0.0000, loss: 0.0827, grad_norm: 0.0214 2024-01-03 17:39:46,922 - mmseg - INFO - Iter [27600/38400] lr: 9.142e-04, eta: 0:11:48, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0820, decode.loss_grad: 0.0000, loss: 0.0820, grad_norm: 0.0204 2024-01-03 17:39:50,009 - mmseg - INFO - Iter [27650/38400] lr: 9.063e-04, eta: 0:11:44, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0818, decode.loss_grad: 0.0000, loss: 0.0818, grad_norm: 0.0211 2024-01-03 17:39:53,088 - mmseg - INFO - Iter [27700/38400] lr: 8.984e-04, eta: 0:11:41, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0799, decode.loss_grad: 0.0000, loss: 0.0799, grad_norm: 0.0216 2024-01-03 17:39:56,171 - mmseg - INFO - Iter [27750/38400] lr: 8.906e-04, eta: 0:11:38, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0801, decode.loss_grad: 0.0000, loss: 0.0801, grad_norm: 0.0208 2024-01-03 17:39:59,278 - mmseg - INFO - Iter [27800/38400] lr: 8.828e-04, eta: 0:11:34, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0820, decode.loss_grad: 0.0000, loss: 0.0820, grad_norm: 0.0214 2024-01-03 17:40:02,344 - mmseg - INFO - Iter [27850/38400] lr: 8.750e-04, eta: 0:11:31, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0831, decode.loss_grad: 0.0000, loss: 0.0831, grad_norm: 0.0213 2024-01-03 17:40:05,415 - mmseg - INFO - Iter [27900/38400] lr: 8.672e-04, eta: 0:11:28, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0821, decode.loss_grad: 0.0000, loss: 0.0821, grad_norm: 0.0214 2024-01-03 17:40:08,498 - mmseg - INFO - Iter [27950/38400] lr: 8.595e-04, eta: 0:11:24, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0809, decode.loss_grad: 0.0000, loss: 0.0809, grad_norm: 0.0214 2024-01-03 17:40:11,653 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:40:11,653 - mmseg - INFO - Iter [28000/38400] lr: 8.518e-04, eta: 0:11:21, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0810, decode.loss_grad: 0.0000, loss: 0.0810, grad_norm: 0.0220 2024-01-03 17:40:14,746 - mmseg - INFO - Iter [28050/38400] lr: 8.441e-04, eta: 0:11:18, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0841, decode.loss_grad: 0.0000, loss: 0.0841, grad_norm: 0.0213 2024-01-03 17:40:17,846 - mmseg - INFO - Iter [28100/38400] lr: 8.365e-04, eta: 0:11:14, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0824, decode.loss_grad: 0.0000, loss: 0.0824, grad_norm: 0.0214 2024-01-03 17:40:21,065 - mmseg - INFO - Iter [28150/38400] lr: 8.288e-04, eta: 0:11:11, time: 0.064, data_time: 0.004, memory: 877, decode.loss_depth: 0.0819, decode.loss_grad: 0.0000, loss: 0.0819, grad_norm: 0.0216 2024-01-03 17:40:24,135 - mmseg - INFO - Iter [28200/38400] lr: 8.213e-04, eta: 0:11:08, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0813, decode.loss_grad: 0.0000, loss: 0.0813, grad_norm: 0.0214 2024-01-03 17:40:27,213 - mmseg - INFO - Iter [28250/38400] lr: 8.137e-04, eta: 0:11:04, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0797, decode.loss_grad: 0.0000, loss: 0.0797, grad_norm: 0.0214 2024-01-03 17:40:30,303 - mmseg - INFO - Iter [28300/38400] lr: 8.062e-04, eta: 0:11:01, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0833, decode.loss_grad: 0.0000, loss: 0.0833, grad_norm: 0.0216 2024-01-03 17:40:33,374 - mmseg - INFO - Iter [28350/38400] lr: 7.986e-04, eta: 0:10:58, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0822, decode.loss_grad: 0.0000, loss: 0.0822, grad_norm: 0.0217 2024-01-03 17:40:36,433 - mmseg - INFO - Iter [28400/38400] lr: 7.912e-04, eta: 0:10:54, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0823, decode.loss_grad: 0.0000, loss: 0.0823, grad_norm: 0.0217 2024-01-03 17:40:39,533 - mmseg - INFO - Iter [28450/38400] lr: 7.837e-04, eta: 0:10:51, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0833, decode.loss_grad: 0.0000, loss: 0.0833, grad_norm: 0.0209 2024-01-03 17:40:42,607 - mmseg - INFO - Iter [28500/38400] lr: 7.763e-04, eta: 0:10:48, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0808, decode.loss_grad: 0.0000, loss: 0.0808, grad_norm: 0.0224 2024-01-03 17:40:45,695 - mmseg - INFO - Iter [28550/38400] lr: 7.689e-04, eta: 0:10:44, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0815, decode.loss_grad: 0.0000, loss: 0.0815, grad_norm: 0.0213 2024-01-03 17:40:48,788 - mmseg - INFO - Iter [28600/38400] lr: 7.615e-04, eta: 0:10:41, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0834, decode.loss_grad: 0.0000, loss: 0.0834, grad_norm: 0.0215 2024-01-03 17:40:51,867 - mmseg - INFO - Iter [28650/38400] lr: 7.542e-04, eta: 0:10:38, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0811, decode.loss_grad: 0.0000, loss: 0.0811, grad_norm: 0.0212 2024-01-03 17:40:54,961 - mmseg - INFO - Iter [28700/38400] lr: 7.469e-04, eta: 0:10:34, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0837, decode.loss_grad: 0.0000, loss: 0.0837, grad_norm: 0.0215 2024-01-03 17:40:58,046 - mmseg - INFO - Iter [28750/38400] lr: 7.396e-04, eta: 0:10:31, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0822, decode.loss_grad: 0.0000, loss: 0.0822, grad_norm: 0.0215 2024-01-03 17:41:03,318 - mmseg - INFO - Saving checkpoint at 28800 iterations 2024-01-03 17:41:03,333 - mmseg - INFO - Iter [28800/38400] lr: 7.324e-04, eta: 0:10:28, time: 0.106, data_time: 0.043, memory: 877, decode.loss_depth: 0.0810, decode.loss_grad: 0.0000, loss: 0.0810, grad_norm: 0.0212 2024-01-03 17:41:09,216 - mmseg - INFO - Summary: 2024-01-03 17:41:09,216 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.8688 | 0.9838 | 0.9979 | 0.1232 | 0.4034 | 0.0506 | 0.1467 | 11.5005 | 0.0673 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:41:09,218 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/original/vit_base_patch14_dinov2.lvd142m/best_abs_rel_iter_25600.pth was removed 2024-01-03 17:41:09,227 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_28800.pth. 2024-01-03 17:41:09,227 - mmseg - INFO - Best abs_rel is 0.1232 at 28800 iter. 2024-01-03 17:41:09,228 - mmseg - INFO - Iter(val) [82] a1: 0.8688, a2: 0.9838, a3: 0.9979, abs_rel: 0.12318572402000427, rmse: 0.4034387469291687, log_10: 0.05058533698320389, rmse_log: 0.14671413600444794, silog: 11.5005, sq_rel: 0.06733985990285873 2024-01-03 17:41:12,281 - mmseg - INFO - Iter [28850/38400] lr: 7.252e-04, eta: 0:10:27, time: 0.179, data_time: 0.119, memory: 877, decode.loss_depth: 0.0804, decode.loss_grad: 0.0000, loss: 0.0804, grad_norm: 0.0209 2024-01-03 17:41:15,362 - mmseg - INFO - Iter [28900/38400] lr: 7.180e-04, eta: 0:10:24, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0812, decode.loss_grad: 0.0000, loss: 0.0812, grad_norm: 0.0210 2024-01-03 17:41:18,442 - mmseg - INFO - Iter [28950/38400] lr: 7.108e-04, eta: 0:10:20, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0829, decode.loss_grad: 0.0000, loss: 0.0829, grad_norm: 0.0219 2024-01-03 17:41:21,523 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:41:21,523 - mmseg - INFO - Iter [29000/38400] lr: 7.037e-04, eta: 0:10:17, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0822, decode.loss_grad: 0.0000, loss: 0.0822, grad_norm: 0.0207 2024-01-03 17:41:24,648 - mmseg - INFO - Iter [29050/38400] lr: 6.966e-04, eta: 0:10:14, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0822, decode.loss_grad: 0.0000, loss: 0.0822, grad_norm: 0.0206 2024-01-03 17:41:27,734 - mmseg - INFO - Iter [29100/38400] lr: 6.895e-04, eta: 0:10:10, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0803, decode.loss_grad: 0.0000, loss: 0.0803, grad_norm: 0.0204 2024-01-03 17:41:30,817 - mmseg - INFO - Iter [29150/38400] lr: 6.825e-04, eta: 0:10:07, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0826, decode.loss_grad: 0.0000, loss: 0.0826, grad_norm: 0.0208 2024-01-03 17:41:33,889 - mmseg - INFO - Iter [29200/38400] lr: 6.755e-04, eta: 0:10:04, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0809, decode.loss_grad: 0.0000, loss: 0.0809, grad_norm: 0.0216 2024-01-03 17:41:36,967 - mmseg - INFO - Iter [29250/38400] lr: 6.685e-04, eta: 0:10:00, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0804, decode.loss_grad: 0.0000, loss: 0.0804, grad_norm: 0.0210 2024-01-03 17:41:40,053 - mmseg - INFO - Iter [29300/38400] lr: 6.616e-04, eta: 0:09:57, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0809, decode.loss_grad: 0.0000, loss: 0.0809, grad_norm: 0.0213 2024-01-03 17:41:43,139 - mmseg - INFO - Iter [29350/38400] lr: 6.546e-04, eta: 0:09:53, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0829, decode.loss_grad: 0.0000, loss: 0.0829, grad_norm: 0.0215 2024-01-03 17:41:46,220 - mmseg - INFO - Iter [29400/38400] lr: 6.478e-04, eta: 0:09:50, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0819, decode.loss_grad: 0.0000, loss: 0.0819, grad_norm: 0.0215 2024-01-03 17:41:49,304 - mmseg - INFO - Iter [29450/38400] lr: 6.409e-04, eta: 0:09:47, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0822, decode.loss_grad: 0.0000, loss: 0.0822, grad_norm: 0.0214 2024-01-03 17:41:52,390 - mmseg - INFO - Iter [29500/38400] lr: 6.341e-04, eta: 0:09:43, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0799, decode.loss_grad: 0.0000, loss: 0.0799, grad_norm: 0.0207 2024-01-03 17:41:55,464 - mmseg - INFO - Iter [29550/38400] lr: 6.273e-04, eta: 0:09:40, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0819, decode.loss_grad: 0.0000, loss: 0.0819, grad_norm: 0.0214 2024-01-03 17:41:58,595 - mmseg - INFO - Iter [29600/38400] lr: 6.205e-04, eta: 0:09:37, time: 0.063, data_time: 0.003, memory: 877, decode.loss_depth: 0.0812, decode.loss_grad: 0.0000, loss: 0.0812, grad_norm: 0.0216 2024-01-03 17:42:01,687 - mmseg - INFO - Iter [29650/38400] lr: 6.138e-04, eta: 0:09:33, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0815, decode.loss_grad: 0.0000, loss: 0.0815, grad_norm: 0.0217 2024-01-03 17:42:04,770 - mmseg - INFO - Iter [29700/38400] lr: 6.071e-04, eta: 0:09:30, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0816, decode.loss_grad: 0.0000, loss: 0.0816, grad_norm: 0.0214 2024-01-03 17:42:07,870 - mmseg - INFO - Iter [29750/38400] lr: 6.004e-04, eta: 0:09:27, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0797, decode.loss_grad: 0.0000, loss: 0.0797, grad_norm: 0.0201 2024-01-03 17:42:10,932 - mmseg - INFO - Iter [29800/38400] lr: 5.938e-04, eta: 0:09:23, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0816, decode.loss_grad: 0.0000, loss: 0.0816, grad_norm: 0.0219 2024-01-03 17:42:14,014 - mmseg - INFO - Iter [29850/38400] lr: 5.872e-04, eta: 0:09:20, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0797, decode.loss_grad: 0.0000, loss: 0.0797, grad_norm: 0.0210 2024-01-03 17:42:17,093 - mmseg - INFO - Iter [29900/38400] lr: 5.806e-04, eta: 0:09:17, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0805, decode.loss_grad: 0.0000, loss: 0.0805, grad_norm: 0.0209 2024-01-03 17:42:20,188 - mmseg - INFO - Iter [29950/38400] lr: 5.741e-04, eta: 0:09:13, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0813, decode.loss_grad: 0.0000, loss: 0.0813, grad_norm: 0.0217 2024-01-03 17:42:23,256 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:42:23,256 - mmseg - INFO - Iter [30000/38400] lr: 5.676e-04, eta: 0:09:10, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0820, decode.loss_grad: 0.0000, loss: 0.0820, grad_norm: 0.0226 2024-01-03 17:42:26,340 - mmseg - INFO - Iter [30050/38400] lr: 5.611e-04, eta: 0:09:07, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0802, decode.loss_grad: 0.0000, loss: 0.0802, grad_norm: 0.0214 2024-01-03 17:42:29,457 - mmseg - INFO - Iter [30100/38400] lr: 5.547e-04, eta: 0:09:03, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0797, decode.loss_grad: 0.0000, loss: 0.0797, grad_norm: 0.0203 2024-01-03 17:42:32,536 - mmseg - INFO - Iter [30150/38400] lr: 5.483e-04, eta: 0:09:00, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0788, decode.loss_grad: 0.0000, loss: 0.0788, grad_norm: 0.0207 2024-01-03 17:42:35,613 - mmseg - INFO - Iter [30200/38400] lr: 5.419e-04, eta: 0:08:57, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0817, decode.loss_grad: 0.0000, loss: 0.0817, grad_norm: 0.0212 2024-01-03 17:42:38,765 - mmseg - INFO - Iter [30250/38400] lr: 5.356e-04, eta: 0:08:53, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0811, decode.loss_grad: 0.0000, loss: 0.0811, grad_norm: 0.0210 2024-01-03 17:42:43,939 - mmseg - INFO - Iter [30300/38400] lr: 5.293e-04, eta: 0:08:51, time: 0.103, data_time: 0.042, memory: 877, decode.loss_depth: 0.0807, decode.loss_grad: 0.0000, loss: 0.0807, grad_norm: 0.0209 2024-01-03 17:42:47,024 - mmseg - INFO - Iter [30350/38400] lr: 5.230e-04, eta: 0:08:47, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0793, decode.loss_grad: 0.0000, loss: 0.0793, grad_norm: 0.0205 2024-01-03 17:42:50,108 - mmseg - INFO - Saving checkpoint at 30400 iterations 2024-01-03 17:42:50,123 - mmseg - INFO - Iter [30400/38400] lr: 5.167e-04, eta: 0:08:44, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0813, decode.loss_grad: 0.0000, loss: 0.0813, grad_norm: 0.0206 2024-01-03 17:42:53,182 - mmseg - INFO - Iter [30450/38400] lr: 5.105e-04, eta: 0:08:41, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0801, decode.loss_grad: 0.0000, loss: 0.0801, grad_norm: 0.0210 2024-01-03 17:42:56,284 - mmseg - INFO - Iter [30500/38400] lr: 5.044e-04, eta: 0:08:37, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0801, decode.loss_grad: 0.0000, loss: 0.0801, grad_norm: 0.0207 2024-01-03 17:42:59,537 - mmseg - INFO - Iter [30550/38400] lr: 4.982e-04, eta: 0:08:34, time: 0.065, data_time: 0.002, memory: 877, decode.loss_depth: 0.0821, decode.loss_grad: 0.0000, loss: 0.0821, grad_norm: 0.0214 2024-01-03 17:43:02,624 - mmseg - INFO - Iter [30600/38400] lr: 4.921e-04, eta: 0:08:31, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0808, decode.loss_grad: 0.0000, loss: 0.0808, grad_norm: 0.0196 2024-01-03 17:43:05,698 - mmseg - INFO - Iter [30650/38400] lr: 4.860e-04, eta: 0:08:27, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0793, decode.loss_grad: 0.0000, loss: 0.0793, grad_norm: 0.0208 2024-01-03 17:43:08,767 - mmseg - INFO - Iter [30700/38400] lr: 4.800e-04, eta: 0:08:24, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0801, decode.loss_grad: 0.0000, loss: 0.0801, grad_norm: 0.0212 2024-01-03 17:43:11,912 - mmseg - INFO - Iter [30750/38400] lr: 4.740e-04, eta: 0:08:21, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0807, decode.loss_grad: 0.0000, loss: 0.0807, grad_norm: 0.0214 2024-01-03 17:43:14,985 - mmseg - INFO - Iter [30800/38400] lr: 4.680e-04, eta: 0:08:17, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0808, decode.loss_grad: 0.0000, loss: 0.0808, grad_norm: 0.0208 2024-01-03 17:43:18,063 - mmseg - INFO - Iter [30850/38400] lr: 4.621e-04, eta: 0:08:14, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0781, decode.loss_grad: 0.0000, loss: 0.0781, grad_norm: 0.0208 2024-01-03 17:43:21,258 - mmseg - INFO - Iter [30900/38400] lr: 4.562e-04, eta: 0:08:11, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.0823, decode.loss_grad: 0.0000, loss: 0.0823, grad_norm: 0.0209 2024-01-03 17:43:24,340 - mmseg - INFO - Iter [30950/38400] lr: 4.503e-04, eta: 0:08:08, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0787, decode.loss_grad: 0.0000, loss: 0.0787, grad_norm: 0.0206 2024-01-03 17:43:27,415 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:43:27,415 - mmseg - INFO - Iter [31000/38400] lr: 4.444e-04, eta: 0:08:04, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0826, decode.loss_grad: 0.0000, loss: 0.0826, grad_norm: 0.0216 2024-01-03 17:43:30,515 - mmseg - INFO - Iter [31050/38400] lr: 4.386e-04, eta: 0:08:01, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0793, decode.loss_grad: 0.0000, loss: 0.0793, grad_norm: 0.0209 2024-01-03 17:43:33,581 - mmseg - INFO - Iter [31100/38400] lr: 4.329e-04, eta: 0:07:58, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0802, decode.loss_grad: 0.0000, loss: 0.0802, grad_norm: 0.0205 2024-01-03 17:43:36,650 - mmseg - INFO - Iter [31150/38400] lr: 4.271e-04, eta: 0:07:54, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0798, decode.loss_grad: 0.0000, loss: 0.0798, grad_norm: 0.0214 2024-01-03 17:43:39,752 - mmseg - INFO - Iter [31200/38400] lr: 4.214e-04, eta: 0:07:51, time: 0.062, data_time: 0.001, memory: 877, decode.loss_depth: 0.0795, decode.loss_grad: 0.0000, loss: 0.0795, grad_norm: 0.0206 2024-01-03 17:43:42,862 - mmseg - INFO - Iter [31250/38400] lr: 4.158e-04, eta: 0:07:48, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0807, decode.loss_grad: 0.0000, loss: 0.0807, grad_norm: 0.0212 2024-01-03 17:43:45,949 - mmseg - INFO - Iter [31300/38400] lr: 4.101e-04, eta: 0:07:44, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0802, decode.loss_grad: 0.0000, loss: 0.0802, grad_norm: 0.0208 2024-01-03 17:43:49,044 - mmseg - INFO - Iter [31350/38400] lr: 4.045e-04, eta: 0:07:41, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0811, decode.loss_grad: 0.0000, loss: 0.0811, grad_norm: 0.0210 2024-01-03 17:43:52,133 - mmseg - INFO - Iter [31400/38400] lr: 3.990e-04, eta: 0:07:38, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0799, decode.loss_grad: 0.0000, loss: 0.0799, grad_norm: 0.0211 2024-01-03 17:43:55,314 - mmseg - INFO - Iter [31450/38400] lr: 3.935e-04, eta: 0:07:34, time: 0.064, data_time: 0.004, memory: 877, decode.loss_depth: 0.0806, decode.loss_grad: 0.0000, loss: 0.0806, grad_norm: 0.0207 2024-01-03 17:43:58,373 - mmseg - INFO - Iter [31500/38400] lr: 3.880e-04, eta: 0:07:31, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0796, decode.loss_grad: 0.0000, loss: 0.0796, grad_norm: 0.0204 2024-01-03 17:44:01,444 - mmseg - INFO - Iter [31550/38400] lr: 3.825e-04, eta: 0:07:28, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0798, decode.loss_grad: 0.0000, loss: 0.0798, grad_norm: 0.0206 2024-01-03 17:44:04,534 - mmseg - INFO - Iter [31600/38400] lr: 3.771e-04, eta: 0:07:24, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0799, decode.loss_grad: 0.0000, loss: 0.0799, grad_norm: 0.0212 2024-01-03 17:44:07,618 - mmseg - INFO - Iter [31650/38400] lr: 3.717e-04, eta: 0:07:21, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0817, decode.loss_grad: 0.0000, loss: 0.0817, grad_norm: 0.0219 2024-01-03 17:44:10,702 - mmseg - INFO - Iter [31700/38400] lr: 3.664e-04, eta: 0:07:18, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0823, decode.loss_grad: 0.0000, loss: 0.0823, grad_norm: 0.0212 2024-01-03 17:44:13,783 - mmseg - INFO - Iter [31750/38400] lr: 3.611e-04, eta: 0:07:15, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0830, decode.loss_grad: 0.0000, loss: 0.0830, grad_norm: 0.0213 2024-01-03 17:44:18,992 - mmseg - INFO - Iter [31800/38400] lr: 3.558e-04, eta: 0:07:12, time: 0.104, data_time: 0.043, memory: 877, decode.loss_depth: 0.0792, decode.loss_grad: 0.0000, loss: 0.0792, grad_norm: 0.0205 2024-01-03 17:44:22,088 - mmseg - INFO - Iter [31850/38400] lr: 3.505e-04, eta: 0:07:08, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0772, decode.loss_grad: 0.0000, loss: 0.0772, grad_norm: 0.0201 2024-01-03 17:44:25,234 - mmseg - INFO - Iter [31900/38400] lr: 3.453e-04, eta: 0:07:05, time: 0.063, data_time: 0.003, memory: 877, decode.loss_depth: 0.0787, decode.loss_grad: 0.0000, loss: 0.0787, grad_norm: 0.0206 2024-01-03 17:44:28,311 - mmseg - INFO - Iter [31950/38400] lr: 3.402e-04, eta: 0:07:02, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0807, decode.loss_grad: 0.0000, loss: 0.0807, grad_norm: 0.0213 2024-01-03 17:44:31,416 - mmseg - INFO - Saving checkpoint at 32000 iterations 2024-01-03 17:44:31,431 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:44:31,432 - mmseg - INFO - Iter [32000/38400] lr: 3.350e-04, eta: 0:06:58, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0800, decode.loss_grad: 0.0000, loss: 0.0800, grad_norm: 0.0210 2024-01-03 17:44:37,301 - mmseg - INFO - Summary: 2024-01-03 17:44:37,301 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.8642 | 0.9831 | 0.9978 | 0.1261 | 0.4088 | 0.0514 | 0.1485 | 11.4747 | 0.0704 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:44:37,301 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:44:37,302 - mmseg - INFO - Iter(val) [82] a1: 0.8642, a2: 0.9831, a3: 0.9978, abs_rel: 0.1261490434408188, rmse: 0.4088444709777832, log_10: 0.05140175670385361, rmse_log: 0.14854907989501953, silog: 11.4747, sq_rel: 0.07036561518907547 2024-01-03 17:44:40,376 - mmseg - INFO - Iter [32050/38400] lr: 3.299e-04, eta: 0:06:56, time: 0.179, data_time: 0.119, memory: 877, decode.loss_depth: 0.0817, decode.loss_grad: 0.0000, loss: 0.0817, grad_norm: 0.0210 2024-01-03 17:44:43,456 - mmseg - INFO - Iter [32100/38400] lr: 3.249e-04, eta: 0:06:53, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0813, decode.loss_grad: 0.0000, loss: 0.0813, grad_norm: 0.0211 2024-01-03 17:44:46,535 - mmseg - INFO - Iter [32150/38400] lr: 3.199e-04, eta: 0:06:50, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0790, decode.loss_grad: 0.0000, loss: 0.0790, grad_norm: 0.0199 2024-01-03 17:44:49,624 - mmseg - INFO - Iter [32200/38400] lr: 3.149e-04, eta: 0:06:46, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0790, decode.loss_grad: 0.0000, loss: 0.0790, grad_norm: 0.0212 2024-01-03 17:44:52,677 - mmseg - INFO - Iter [32250/38400] lr: 3.099e-04, eta: 0:06:43, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0799, decode.loss_grad: 0.0000, loss: 0.0799, grad_norm: 0.0209 2024-01-03 17:44:55,757 - mmseg - INFO - Iter [32300/38400] lr: 3.050e-04, eta: 0:06:40, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0784, decode.loss_grad: 0.0000, loss: 0.0784, grad_norm: 0.0205 2024-01-03 17:44:58,896 - mmseg - INFO - Iter [32350/38400] lr: 3.001e-04, eta: 0:06:36, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0792, decode.loss_grad: 0.0000, loss: 0.0792, grad_norm: 0.0205 2024-01-03 17:45:01,956 - mmseg - INFO - Iter [32400/38400] lr: 2.953e-04, eta: 0:06:33, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0805, decode.loss_grad: 0.0000, loss: 0.0805, grad_norm: 0.0206 2024-01-03 17:45:05,050 - mmseg - INFO - Iter [32450/38400] lr: 2.905e-04, eta: 0:06:30, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0795, decode.loss_grad: 0.0000, loss: 0.0795, grad_norm: 0.0201 2024-01-03 17:45:08,286 - mmseg - INFO - Iter [32500/38400] lr: 2.857e-04, eta: 0:06:26, time: 0.065, data_time: 0.002, memory: 877, decode.loss_depth: 0.0813, decode.loss_grad: 0.0000, loss: 0.0813, grad_norm: 0.0214 2024-01-03 17:45:11,352 - mmseg - INFO - Iter [32550/38400] lr: 2.810e-04, eta: 0:06:23, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0816, decode.loss_grad: 0.0000, loss: 0.0816, grad_norm: 0.0211 2024-01-03 17:45:14,420 - mmseg - INFO - Iter [32600/38400] lr: 2.763e-04, eta: 0:06:20, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0799, decode.loss_grad: 0.0000, loss: 0.0799, grad_norm: 0.0202 2024-01-03 17:45:17,509 - mmseg - INFO - Iter [32650/38400] lr: 2.716e-04, eta: 0:06:16, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0795, decode.loss_grad: 0.0000, loss: 0.0795, grad_norm: 0.0204 2024-01-03 17:45:20,674 - mmseg - INFO - Iter [32700/38400] lr: 2.670e-04, eta: 0:06:13, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0791, decode.loss_grad: 0.0000, loss: 0.0791, grad_norm: 0.0203 2024-01-03 17:45:23,761 - mmseg - INFO - Iter [32750/38400] lr: 2.625e-04, eta: 0:06:10, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0812, decode.loss_grad: 0.0000, loss: 0.0812, grad_norm: 0.0207 2024-01-03 17:45:26,825 - mmseg - INFO - Iter [32800/38400] lr: 2.579e-04, eta: 0:06:07, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0793, decode.loss_grad: 0.0000, loss: 0.0793, grad_norm: 0.0202 2024-01-03 17:45:29,899 - mmseg - INFO - Iter [32850/38400] lr: 2.534e-04, eta: 0:06:03, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0794, decode.loss_grad: 0.0000, loss: 0.0794, grad_norm: 0.0210 2024-01-03 17:45:32,968 - mmseg - INFO - Iter [32900/38400] lr: 2.489e-04, eta: 0:06:00, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0783, decode.loss_grad: 0.0000, loss: 0.0783, grad_norm: 0.0200 2024-01-03 17:45:36,032 - mmseg - INFO - Iter [32950/38400] lr: 2.445e-04, eta: 0:05:57, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0811, decode.loss_grad: 0.0000, loss: 0.0811, grad_norm: 0.0212 2024-01-03 17:45:39,099 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:45:39,099 - mmseg - INFO - Iter [33000/38400] lr: 2.401e-04, eta: 0:05:53, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0810, decode.loss_grad: 0.0000, loss: 0.0810, grad_norm: 0.0205 2024-01-03 17:45:42,172 - mmseg - INFO - Iter [33050/38400] lr: 2.358e-04, eta: 0:05:50, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0814, decode.loss_grad: 0.0000, loss: 0.0814, grad_norm: 0.0206 2024-01-03 17:45:45,256 - mmseg - INFO - Iter [33100/38400] lr: 2.314e-04, eta: 0:05:47, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0780, decode.loss_grad: 0.0000, loss: 0.0780, grad_norm: 0.0206 2024-01-03 17:45:48,329 - mmseg - INFO - Iter [33150/38400] lr: 2.272e-04, eta: 0:05:43, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0808, decode.loss_grad: 0.0000, loss: 0.0808, grad_norm: 0.0203 2024-01-03 17:45:51,561 - mmseg - INFO - Iter [33200/38400] lr: 2.229e-04, eta: 0:05:40, time: 0.065, data_time: 0.002, memory: 877, decode.loss_depth: 0.0792, decode.loss_grad: 0.0000, loss: 0.0792, grad_norm: 0.0203 2024-01-03 17:45:54,632 - mmseg - INFO - Iter [33250/38400] lr: 2.187e-04, eta: 0:05:37, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0789, decode.loss_grad: 0.0000, loss: 0.0789, grad_norm: 0.0207 2024-01-03 17:45:57,713 - mmseg - INFO - Iter [33300/38400] lr: 2.146e-04, eta: 0:05:34, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0789, decode.loss_grad: 0.0000, loss: 0.0789, grad_norm: 0.0205 2024-01-03 17:46:02,976 - mmseg - INFO - Iter [33350/38400] lr: 2.104e-04, eta: 0:05:31, time: 0.105, data_time: 0.043, memory: 877, decode.loss_depth: 0.0785, decode.loss_grad: 0.0000, loss: 0.0785, grad_norm: 0.0201 2024-01-03 17:46:06,060 - mmseg - INFO - Iter [33400/38400] lr: 2.063e-04, eta: 0:05:27, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0789, decode.loss_grad: 0.0000, loss: 0.0789, grad_norm: 0.0202 2024-01-03 17:46:09,141 - mmseg - INFO - Iter [33450/38400] lr: 2.023e-04, eta: 0:05:24, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0813, decode.loss_grad: 0.0000, loss: 0.0813, grad_norm: 0.0206 2024-01-03 17:46:12,225 - mmseg - INFO - Iter [33500/38400] lr: 1.983e-04, eta: 0:05:21, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0799, decode.loss_grad: 0.0000, loss: 0.0799, grad_norm: 0.0212 2024-01-03 17:46:15,347 - mmseg - INFO - Iter [33550/38400] lr: 1.943e-04, eta: 0:05:17, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0810, decode.loss_grad: 0.0000, loss: 0.0810, grad_norm: 0.0199 2024-01-03 17:46:18,433 - mmseg - INFO - Saving checkpoint at 33600 iterations 2024-01-03 17:46:18,446 - mmseg - INFO - Iter [33600/38400] lr: 1.904e-04, eta: 0:05:14, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0796, decode.loss_grad: 0.0000, loss: 0.0796, grad_norm: 0.0200 2024-01-03 17:46:21,537 - mmseg - INFO - Iter [33650/38400] lr: 1.865e-04, eta: 0:05:11, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0794, decode.loss_grad: 0.0000, loss: 0.0794, grad_norm: 0.0207 2024-01-03 17:46:24,805 - mmseg - INFO - Iter [33700/38400] lr: 1.826e-04, eta: 0:05:07, time: 0.065, data_time: 0.002, memory: 877, decode.loss_depth: 0.0787, decode.loss_grad: 0.0000, loss: 0.0787, grad_norm: 0.0197 2024-01-03 17:46:27,900 - mmseg - INFO - Iter [33750/38400] lr: 1.788e-04, eta: 0:05:04, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0792, decode.loss_grad: 0.0000, loss: 0.0792, grad_norm: 0.0202 2024-01-03 17:46:30,986 - mmseg - INFO - Iter [33800/38400] lr: 1.750e-04, eta: 0:05:01, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0790, decode.loss_grad: 0.0000, loss: 0.0790, grad_norm: 0.0211 2024-01-03 17:46:34,161 - mmseg - INFO - Iter [33850/38400] lr: 1.713e-04, eta: 0:04:58, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0791, decode.loss_grad: 0.0000, loss: 0.0791, grad_norm: 0.0202 2024-01-03 17:46:37,250 - mmseg - INFO - Iter [33900/38400] lr: 1.676e-04, eta: 0:04:54, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0786, decode.loss_grad: 0.0000, loss: 0.0786, grad_norm: 0.0199 2024-01-03 17:46:40,336 - mmseg - INFO - Iter [33950/38400] lr: 1.639e-04, eta: 0:04:51, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0775, decode.loss_grad: 0.0000, loss: 0.0775, grad_norm: 0.0200 2024-01-03 17:46:43,403 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:46:43,403 - mmseg - INFO - Iter [34000/38400] lr: 1.603e-04, eta: 0:04:48, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0776, decode.loss_grad: 0.0000, loss: 0.0776, grad_norm: 0.0204 2024-01-03 17:46:46,490 - mmseg - INFO - Iter [34050/38400] lr: 1.567e-04, eta: 0:04:44, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0810, decode.loss_grad: 0.0000, loss: 0.0810, grad_norm: 0.0204 2024-01-03 17:46:49,592 - mmseg - INFO - Iter [34100/38400] lr: 1.532e-04, eta: 0:04:41, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0791, decode.loss_grad: 0.0000, loss: 0.0791, grad_norm: 0.0207 2024-01-03 17:46:52,662 - mmseg - INFO - Iter [34150/38400] lr: 1.497e-04, eta: 0:04:38, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0787, decode.loss_grad: 0.0000, loss: 0.0787, grad_norm: 0.0203 2024-01-03 17:46:55,857 - mmseg - INFO - Iter [34200/38400] lr: 1.462e-04, eta: 0:04:34, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.0795, decode.loss_grad: 0.0000, loss: 0.0795, grad_norm: 0.0202 2024-01-03 17:46:58,943 - mmseg - INFO - Iter [34250/38400] lr: 1.428e-04, eta: 0:04:31, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0800, decode.loss_grad: 0.0000, loss: 0.0800, grad_norm: 0.0197 2024-01-03 17:47:02,036 - mmseg - INFO - Iter [34300/38400] lr: 1.394e-04, eta: 0:04:28, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0809, decode.loss_grad: 0.0000, loss: 0.0809, grad_norm: 0.0212 2024-01-03 17:47:05,209 - mmseg - INFO - Iter [34350/38400] lr: 1.360e-04, eta: 0:04:25, time: 0.063, data_time: 0.004, memory: 877, decode.loss_depth: 0.0798, decode.loss_grad: 0.0000, loss: 0.0798, grad_norm: 0.0207 2024-01-03 17:47:08,297 - mmseg - INFO - Iter [34400/38400] lr: 1.327e-04, eta: 0:04:21, time: 0.062, data_time: 0.001, memory: 877, decode.loss_depth: 0.0799, decode.loss_grad: 0.0000, loss: 0.0799, grad_norm: 0.0197 2024-01-03 17:47:11,407 - mmseg - INFO - Iter [34450/38400] lr: 1.295e-04, eta: 0:04:18, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0773, decode.loss_grad: 0.0000, loss: 0.0773, grad_norm: 0.0208 2024-01-03 17:47:14,481 - mmseg - INFO - Iter [34500/38400] lr: 1.262e-04, eta: 0:04:15, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0794, decode.loss_grad: 0.0000, loss: 0.0794, grad_norm: 0.0203 2024-01-03 17:47:17,559 - mmseg - INFO - Iter [34550/38400] lr: 1.231e-04, eta: 0:04:11, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0786, decode.loss_grad: 0.0000, loss: 0.0786, grad_norm: 0.0203 2024-01-03 17:47:20,636 - mmseg - INFO - Iter [34600/38400] lr: 1.199e-04, eta: 0:04:08, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0788, decode.loss_grad: 0.0000, loss: 0.0788, grad_norm: 0.0199 2024-01-03 17:47:23,715 - mmseg - INFO - Iter [34650/38400] lr: 1.168e-04, eta: 0:04:05, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0798, decode.loss_grad: 0.0000, loss: 0.0798, grad_norm: 0.0197 2024-01-03 17:47:26,892 - mmseg - INFO - Iter [34700/38400] lr: 1.137e-04, eta: 0:04:02, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.0786, decode.loss_grad: 0.0000, loss: 0.0786, grad_norm: 0.0205 2024-01-03 17:47:29,968 - mmseg - INFO - Iter [34750/38400] lr: 1.107e-04, eta: 0:03:58, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0790, decode.loss_grad: 0.0000, loss: 0.0790, grad_norm: 0.0203 2024-01-03 17:47:33,057 - mmseg - INFO - Iter [34800/38400] lr: 1.077e-04, eta: 0:03:55, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0805, decode.loss_grad: 0.0000, loss: 0.0805, grad_norm: 0.0205 2024-01-03 17:47:38,228 - mmseg - INFO - Iter [34850/38400] lr: 1.048e-04, eta: 0:03:52, time: 0.103, data_time: 0.043, memory: 877, decode.loss_depth: 0.0766, decode.loss_grad: 0.0000, loss: 0.0766, grad_norm: 0.0198 2024-01-03 17:47:41,298 - mmseg - INFO - Iter [34900/38400] lr: 1.018e-04, eta: 0:03:49, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0779, decode.loss_grad: 0.0000, loss: 0.0779, grad_norm: 0.0197 2024-01-03 17:47:44,381 - mmseg - INFO - Iter [34950/38400] lr: 9.898e-05, eta: 0:03:45, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0807, decode.loss_grad: 0.0000, loss: 0.0807, grad_norm: 0.0195 2024-01-03 17:47:47,467 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:47:47,467 - mmseg - INFO - Iter [35000/38400] lr: 9.615e-05, eta: 0:03:42, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0794, decode.loss_grad: 0.0000, loss: 0.0794, grad_norm: 0.0206 2024-01-03 17:47:50,548 - mmseg - INFO - Iter [35050/38400] lr: 9.336e-05, eta: 0:03:39, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0792, decode.loss_grad: 0.0000, loss: 0.0792, grad_norm: 0.0202 2024-01-03 17:47:53,644 - mmseg - INFO - Iter [35100/38400] lr: 9.061e-05, eta: 0:03:35, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0791, decode.loss_grad: 0.0000, loss: 0.0791, grad_norm: 0.0198 2024-01-03 17:47:56,748 - mmseg - INFO - Iter [35150/38400] lr: 8.791e-05, eta: 0:03:32, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0790, decode.loss_grad: 0.0000, loss: 0.0790, grad_norm: 0.0204 2024-01-03 17:47:59,945 - mmseg - INFO - Saving checkpoint at 35200 iterations 2024-01-03 17:47:59,960 - mmseg - INFO - Iter [35200/38400] lr: 8.524e-05, eta: 0:03:29, time: 0.064, data_time: 0.004, memory: 877, decode.loss_depth: 0.0808, decode.loss_grad: 0.0000, loss: 0.0808, grad_norm: 0.0197 2024-01-03 17:48:05,832 - mmseg - INFO - Summary: 2024-01-03 17:48:05,833 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.8691 | 0.9836 | 0.9978 | 0.1234 | 0.4027 | 0.0505 | 0.1467 | 11.4598 | 0.0677 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:48:05,833 - mmseg - INFO - Iter(val) [82] a1: 0.8691, a2: 0.9836, a3: 0.9978, abs_rel: 0.12337358295917511, rmse: 0.4027117192745209, log_10: 0.05054841190576553, rmse_log: 0.14665117859840393, silog: 11.4598, sq_rel: 0.06768795102834702 2024-01-03 17:48:08,985 - mmseg - INFO - Iter [35250/38400] lr: 8.261e-05, eta: 0:03:26, time: 0.180, data_time: 0.121, memory: 877, decode.loss_depth: 0.0795, decode.loss_grad: 0.0000, loss: 0.0795, grad_norm: 0.0208 2024-01-03 17:48:12,060 - mmseg - INFO - Iter [35300/38400] lr: 8.002e-05, eta: 0:03:23, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0767, decode.loss_grad: 0.0000, loss: 0.0767, grad_norm: 0.0207 2024-01-03 17:48:15,136 - mmseg - INFO - Iter [35350/38400] lr: 7.748e-05, eta: 0:03:20, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0785, decode.loss_grad: 0.0000, loss: 0.0785, grad_norm: 0.0198 2024-01-03 17:48:18,232 - mmseg - INFO - Iter [35400/38400] lr: 7.497e-05, eta: 0:03:16, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0796, decode.loss_grad: 0.0000, loss: 0.0796, grad_norm: 0.0202 2024-01-03 17:48:21,381 - mmseg - INFO - Iter [35450/38400] lr: 7.251e-05, eta: 0:03:13, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0810, decode.loss_grad: 0.0000, loss: 0.0810, grad_norm: 0.0210 2024-01-03 17:48:24,445 - mmseg - INFO - Iter [35500/38400] lr: 7.008e-05, eta: 0:03:10, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0788, decode.loss_grad: 0.0000, loss: 0.0788, grad_norm: 0.0203 2024-01-03 17:48:27,506 - mmseg - INFO - Iter [35550/38400] lr: 6.770e-05, eta: 0:03:06, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0803, decode.loss_grad: 0.0000, loss: 0.0803, grad_norm: 0.0206 2024-01-03 17:48:30,666 - mmseg - INFO - Iter [35600/38400] lr: 6.535e-05, eta: 0:03:03, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0797, decode.loss_grad: 0.0000, loss: 0.0797, grad_norm: 0.0200 2024-01-03 17:48:33,745 - mmseg - INFO - Iter [35650/38400] lr: 6.305e-05, eta: 0:03:00, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0763, decode.loss_grad: 0.0000, loss: 0.0763, grad_norm: 0.0195 2024-01-03 17:48:36,823 - mmseg - INFO - Iter [35700/38400] lr: 6.079e-05, eta: 0:02:56, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0780, decode.loss_grad: 0.0000, loss: 0.0780, grad_norm: 0.0204 2024-01-03 17:48:39,895 - mmseg - INFO - Iter [35750/38400] lr: 5.857e-05, eta: 0:02:53, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0787, decode.loss_grad: 0.0000, loss: 0.0787, grad_norm: 0.0200 2024-01-03 17:48:42,976 - mmseg - INFO - Iter [35800/38400] lr: 5.639e-05, eta: 0:02:50, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0797, decode.loss_grad: 0.0000, loss: 0.0797, grad_norm: 0.0198 2024-01-03 17:48:46,062 - mmseg - INFO - Iter [35850/38400] lr: 5.425e-05, eta: 0:02:47, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0783, decode.loss_grad: 0.0000, loss: 0.0783, grad_norm: 0.0197 2024-01-03 17:48:49,156 - mmseg - INFO - Iter [35900/38400] lr: 5.215e-05, eta: 0:02:43, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0795, decode.loss_grad: 0.0000, loss: 0.0795, grad_norm: 0.0198 2024-01-03 17:48:52,331 - mmseg - INFO - Iter [35950/38400] lr: 5.009e-05, eta: 0:02:40, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.0780, decode.loss_grad: 0.0000, loss: 0.0780, grad_norm: 0.0205 2024-01-03 17:48:55,435 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:48:55,435 - mmseg - INFO - Iter [36000/38400] lr: 4.808e-05, eta: 0:02:37, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0782, decode.loss_grad: 0.0000, loss: 0.0782, grad_norm: 0.0204 2024-01-03 17:48:58,500 - mmseg - INFO - Iter [36050/38400] lr: 4.610e-05, eta: 0:02:33, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0796, decode.loss_grad: 0.0000, loss: 0.0796, grad_norm: 0.0201 2024-01-03 17:49:01,652 - mmseg - INFO - Iter [36100/38400] lr: 4.417e-05, eta: 0:02:30, time: 0.063, data_time: 0.003, memory: 877, decode.loss_depth: 0.0794, decode.loss_grad: 0.0000, loss: 0.0794, grad_norm: 0.0199 2024-01-03 17:49:04,824 - mmseg - INFO - Iter [36150/38400] lr: 4.227e-05, eta: 0:02:27, time: 0.063, data_time: 0.004, memory: 877, decode.loss_depth: 0.0796, decode.loss_grad: 0.0000, loss: 0.0796, grad_norm: 0.0207 2024-01-03 17:49:07,888 - mmseg - INFO - Iter [36200/38400] lr: 4.042e-05, eta: 0:02:24, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0789, decode.loss_grad: 0.0000, loss: 0.0789, grad_norm: 0.0201 2024-01-03 17:49:10,978 - mmseg - INFO - Iter [36250/38400] lr: 3.861e-05, eta: 0:02:20, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0791, decode.loss_grad: 0.0000, loss: 0.0791, grad_norm: 0.0198 2024-01-03 17:49:14,201 - mmseg - INFO - Iter [36300/38400] lr: 3.684e-05, eta: 0:02:17, time: 0.064, data_time: 0.003, memory: 877, decode.loss_depth: 0.0783, decode.loss_grad: 0.0000, loss: 0.0783, grad_norm: 0.0200 2024-01-03 17:49:19,383 - mmseg - INFO - Iter [36350/38400] lr: 3.511e-05, eta: 0:02:14, time: 0.104, data_time: 0.043, memory: 877, decode.loss_depth: 0.0799, decode.loss_grad: 0.0000, loss: 0.0799, grad_norm: 0.0200 2024-01-03 17:49:22,459 - mmseg - INFO - Iter [36400/38400] lr: 3.343e-05, eta: 0:02:11, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0784, decode.loss_grad: 0.0000, loss: 0.0784, grad_norm: 0.0195 2024-01-03 17:49:25,577 - mmseg - INFO - Iter [36450/38400] lr: 3.178e-05, eta: 0:02:07, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0775, decode.loss_grad: 0.0000, loss: 0.0775, grad_norm: 0.0196 2024-01-03 17:49:28,654 - mmseg - INFO - Iter [36500/38400] lr: 3.017e-05, eta: 0:02:04, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0774, decode.loss_grad: 0.0000, loss: 0.0774, grad_norm: 0.0201 2024-01-03 17:49:31,742 - mmseg - INFO - Iter [36550/38400] lr: 2.861e-05, eta: 0:02:01, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0795, decode.loss_grad: 0.0000, loss: 0.0795, grad_norm: 0.0197 2024-01-03 17:49:34,867 - mmseg - INFO - Iter [36600/38400] lr: 2.709e-05, eta: 0:01:57, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0799, decode.loss_grad: 0.0000, loss: 0.0799, grad_norm: 0.0201 2024-01-03 17:49:37,937 - mmseg - INFO - Iter [36650/38400] lr: 2.561e-05, eta: 0:01:54, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0786, decode.loss_grad: 0.0000, loss: 0.0786, grad_norm: 0.0196 2024-01-03 17:49:41,013 - mmseg - INFO - Iter [36700/38400] lr: 2.417e-05, eta: 0:01:51, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0782, decode.loss_grad: 0.0000, loss: 0.0782, grad_norm: 0.0199 2024-01-03 17:49:44,206 - mmseg - INFO - Iter [36750/38400] lr: 2.277e-05, eta: 0:01:48, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.0783, decode.loss_grad: 0.0000, loss: 0.0783, grad_norm: 0.0195 2024-01-03 17:49:47,295 - mmseg - INFO - Saving checkpoint at 36800 iterations 2024-01-03 17:49:47,311 - mmseg - INFO - Iter [36800/38400] lr: 2.141e-05, eta: 0:01:44, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0784, decode.loss_grad: 0.0000, loss: 0.0784, grad_norm: 0.0191 2024-01-03 17:49:50,388 - mmseg - INFO - Iter [36850/38400] lr: 2.010e-05, eta: 0:01:41, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0783, decode.loss_grad: 0.0000, loss: 0.0783, grad_norm: 0.0199 2024-01-03 17:49:53,457 - mmseg - INFO - Iter [36900/38400] lr: 1.883e-05, eta: 0:01:38, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0804, decode.loss_grad: 0.0000, loss: 0.0804, grad_norm: 0.0201 2024-01-03 17:49:56,526 - mmseg - INFO - Iter [36950/38400] lr: 1.759e-05, eta: 0:01:34, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0788, decode.loss_grad: 0.0000, loss: 0.0788, grad_norm: 0.0200 2024-01-03 17:49:59,617 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:49:59,617 - mmseg - INFO - Iter [37000/38400] lr: 1.640e-05, eta: 0:01:31, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0779, decode.loss_grad: 0.0000, loss: 0.0779, grad_norm: 0.0204 2024-01-03 17:50:02,714 - mmseg - INFO - Iter [37050/38400] lr: 1.526e-05, eta: 0:01:28, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0780, decode.loss_grad: 0.0000, loss: 0.0780, grad_norm: 0.0201 2024-01-03 17:50:05,804 - mmseg - INFO - Iter [37100/38400] lr: 1.415e-05, eta: 0:01:25, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0804, decode.loss_grad: 0.0000, loss: 0.0804, grad_norm: 0.0205 2024-01-03 17:50:08,871 - mmseg - INFO - Iter [37150/38400] lr: 1.308e-05, eta: 0:01:21, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0777, decode.loss_grad: 0.0000, loss: 0.0777, grad_norm: 0.0204 2024-01-03 17:50:11,945 - mmseg - INFO - Iter [37200/38400] lr: 1.206e-05, eta: 0:01:18, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0786, decode.loss_grad: 0.0000, loss: 0.0786, grad_norm: 0.0203 2024-01-03 17:50:15,014 - mmseg - INFO - Iter [37250/38400] lr: 1.108e-05, eta: 0:01:15, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0790, decode.loss_grad: 0.0000, loss: 0.0790, grad_norm: 0.0195 2024-01-03 17:50:18,109 - mmseg - INFO - Iter [37300/38400] lr: 1.014e-05, eta: 0:01:11, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0790, decode.loss_grad: 0.0000, loss: 0.0790, grad_norm: 0.0205 2024-01-03 17:50:21,172 - mmseg - INFO - Iter [37350/38400] lr: 9.236e-06, eta: 0:01:08, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0801, decode.loss_grad: 0.0000, loss: 0.0801, grad_norm: 0.0200 2024-01-03 17:50:24,249 - mmseg - INFO - Iter [37400/38400] lr: 8.379e-06, eta: 0:01:05, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0786, decode.loss_grad: 0.0000, loss: 0.0786, grad_norm: 0.0203 2024-01-03 17:50:27,321 - mmseg - INFO - Iter [37450/38400] lr: 7.563e-06, eta: 0:01:02, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0780, decode.loss_grad: 0.0000, loss: 0.0780, grad_norm: 0.0203 2024-01-03 17:50:30,405 - mmseg - INFO - Iter [37500/38400] lr: 6.789e-06, eta: 0:00:58, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0781, decode.loss_grad: 0.0000, loss: 0.0781, grad_norm: 0.0196 2024-01-03 17:50:33,513 - mmseg - INFO - Iter [37550/38400] lr: 6.057e-06, eta: 0:00:55, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0807, decode.loss_grad: 0.0000, loss: 0.0807, grad_norm: 0.0198 2024-01-03 17:50:36,617 - mmseg - INFO - Iter [37600/38400] lr: 5.366e-06, eta: 0:00:52, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0797, decode.loss_grad: 0.0000, loss: 0.0797, grad_norm: 0.0199 2024-01-03 17:50:39,698 - mmseg - INFO - Iter [37650/38400] lr: 4.717e-06, eta: 0:00:49, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0799, decode.loss_grad: 0.0000, loss: 0.0799, grad_norm: 0.0199 2024-01-03 17:50:42,768 - mmseg - INFO - Iter [37700/38400] lr: 4.110e-06, eta: 0:00:45, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0771, decode.loss_grad: 0.0000, loss: 0.0771, grad_norm: 0.0195 2024-01-03 17:50:45,839 - mmseg - INFO - Iter [37750/38400] lr: 3.545e-06, eta: 0:00:42, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0803, decode.loss_grad: 0.0000, loss: 0.0803, grad_norm: 0.0195 2024-01-03 17:50:49,022 - mmseg - INFO - Iter [37800/38400] lr: 3.021e-06, eta: 0:00:39, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.0794, decode.loss_grad: 0.0000, loss: 0.0794, grad_norm: 0.0194 2024-01-03 17:50:52,095 - mmseg - INFO - Iter [37850/38400] lr: 2.540e-06, eta: 0:00:35, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0788, decode.loss_grad: 0.0000, loss: 0.0788, grad_norm: 0.0206 2024-01-03 17:50:57,268 - mmseg - INFO - Iter [37900/38400] lr: 2.100e-06, eta: 0:00:32, time: 0.103, data_time: 0.043, memory: 877, decode.loss_depth: 0.0786, decode.loss_grad: 0.0000, loss: 0.0786, grad_norm: 0.0198 2024-01-03 17:51:00,355 - mmseg - INFO - Iter [37950/38400] lr: 1.702e-06, eta: 0:00:29, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0783, decode.loss_grad: 0.0000, loss: 0.0783, grad_norm: 0.0193 2024-01-03 17:51:03,430 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:51:03,431 - mmseg - INFO - Iter [38000/38400] lr: 1.345e-06, eta: 0:00:26, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0795, decode.loss_grad: 0.0000, loss: 0.0795, grad_norm: 0.0199 2024-01-03 17:51:06,507 - mmseg - INFO - Iter [38050/38400] lr: 1.031e-06, eta: 0:00:22, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0786, decode.loss_grad: 0.0000, loss: 0.0786, grad_norm: 0.0203 2024-01-03 17:51:09,656 - mmseg - INFO - Iter [38100/38400] lr: 7.580e-07, eta: 0:00:19, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0774, decode.loss_grad: 0.0000, loss: 0.0774, grad_norm: 0.0194 2024-01-03 17:51:12,736 - mmseg - INFO - Iter [38150/38400] lr: 5.271e-07, eta: 0:00:16, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0766, decode.loss_grad: 0.0000, loss: 0.0766, grad_norm: 0.0202 2024-01-03 17:51:15,845 - mmseg - INFO - Iter [38200/38400] lr: 3.381e-07, eta: 0:00:13, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0791, decode.loss_grad: 0.0000, loss: 0.0791, grad_norm: 0.0202 2024-01-03 17:51:18,922 - mmseg - INFO - Iter [38250/38400] lr: 1.908e-07, eta: 0:00:09, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0772, decode.loss_grad: 0.0000, loss: 0.0772, grad_norm: 0.0202 2024-01-03 17:51:22,081 - mmseg - INFO - Iter [38300/38400] lr: 8.540e-08, eta: 0:00:06, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0779, decode.loss_grad: 0.0000, loss: 0.0779, grad_norm: 0.0206 2024-01-03 17:51:25,154 - mmseg - INFO - Iter [38350/38400] lr: 2.181e-08, eta: 0:00:03, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0788, decode.loss_grad: 0.0000, loss: 0.0788, grad_norm: 0.0198 2024-01-03 17:51:28,236 - mmseg - INFO - Saving checkpoint at 38400 iterations 2024-01-03 17:51:28,254 - mmseg - INFO - Iter [38400/38400] lr: 5.837e-11, eta: 0:00:00, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0810, decode.loss_grad: 0.0000, loss: 0.0810, grad_norm: 0.0196 2024-01-03 17:51:34,169 - mmseg - INFO - Summary: 2024-01-03 17:51:34,170 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.8685 | 0.9836 | 0.9978 | 0.1238 | 0.4034 | 0.0507 | 0.1469 | 11.4624 | 0.0681 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:51:34,170 - mmseg - INFO - Iter(val) [82] a1: 0.8685, a2: 0.9836, a3: 0.9978, abs_rel: 0.1237669438123703, rmse: 0.40338441729545593, log_10: 0.05065614730119705, rmse_log: 0.14689409732818604, silog: 11.4624, sq_rel: 0.0680597648024559