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adabins_r50_nyu_24e.txt
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{"env_info": "sys.platform: linux\nPython: 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0]\nCUDA available: True\nGPU 0,1: NVIDIA GeForce RTX 3090\nCUDA_HOME: /usr/local/cuda\nNVCC: Build cuda_11.1.TC455_06.29069683_0\nGCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0\nPyTorch: 1.8.0\nPyTorch compiling details: PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) Math Kernel Library Version 2020.0.2 Product Build 20200624 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v1.7.0 (Git Hash 7aed236906b1f7a05c0917e5257a1af05e9ff683)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.1\n - 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_61,code=sm_61;-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;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.0.5\n - Magma 2.5.2\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -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 -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.8.0, 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=ON, USE_NNPACK=ON, USE_OPENMP=ON, \n\nTorchVision: 0.9.0\nOpenCV: 4.5.5\nMMCV: 1.3.13\nMMCV Compiler: GCC 7.3\nMMCV CUDA Compiler: 11.1\nDepth: 0.0.0+4bd7d09", "seed": null, "exp_name": "adabins_r50_nyu_24e.py", "depth_version": "0.0.0+4bd7d09", "config": "model = dict(\n type='DepthEncoderDecoder',\n backbone=dict(\n type='ResNet',\n depth=50,\n num_stages=4,\n out_indices=(0, 1, 2, 3, 4),\n style='pytorch',\n norm_cfg=dict(type='BN', requires_grad=True),\n init_cfg=dict(type='Pretrained', checkpoint='torchvision://resnet50')),\n decode_head=dict(\n type='AdabinsHead',\n in_channels=[64, 256, 512, 1024, 2048],\n up_sample_channels=[128, 256, 512, 1024, 2048],\n channels=128,\n align_corners=True,\n loss_decode=dict(type='SigLoss', valid_mask=True, loss_weight=10),\n min_depth=0.001,\n max_depth=10,\n norm_cfg=dict(type='BN', requires_grad=True)),\n train_cfg=dict(),\n test_cfg=dict(mode='whole'))\ndataset_type = 'NYUDataset'\ndata_root = 'data/nyu/'\nimg_norm_cfg = dict(\n mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)\ncrop_size = (416, 544)\ntrain_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(type='DepthLoadAnnotations'),\n dict(type='NYUCrop', depth=True),\n dict(type='RandomRotate', prob=0.5, degree=2.5),\n dict(type='RandomFlip', prob=0.5),\n dict(type='RandomCrop', crop_size=(416, 544)),\n dict(\n type='ColorAug',\n prob=0.5,\n gamma_range=[0.9, 1.1],\n brightness_range=[0.75, 1.25],\n color_range=[0.9, 1.1]),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='DefaultFormatBundle'),\n dict(\n type='Collect',\n keys=['img', 'depth_gt'],\n meta_keys=('filename', 'ori_filename', 'ori_shape', 'img_shape',\n 'pad_shape', 'scale_factor', 'flip', 'flip_direction',\n 'img_norm_cfg', 'cam_intrinsic'))\n]\ntest_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(480, 640),\n flip=True,\n flip_direction='horizontal',\n transforms=[\n dict(type='RandomFlip', direction='horizontal'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='ImageToTensor', keys=['img']),\n dict(\n type='Collect',\n keys=['img'],\n meta_keys=('filename', 'ori_filename', 'ori_shape',\n 'img_shape', 'pad_shape', 'scale_factor', 'flip',\n 'flip_direction', 'img_norm_cfg', 'cam_intrinsic'))\n ])\n]\ndata = dict(\n samples_per_gpu=8,\n workers_per_gpu=8,\n train=dict(\n type='NYUDataset',\n data_root='data/nyu/',\n depth_scale=1000,\n split='nyu_train.txt',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(type='DepthLoadAnnotations'),\n dict(type='NYUCrop', depth=True),\n dict(type='RandomRotate', prob=0.5, degree=2.5),\n dict(type='RandomFlip', prob=0.5),\n dict(type='RandomCrop', crop_size=(416, 544)),\n dict(\n type='ColorAug',\n prob=0.5,\n gamma_range=[0.9, 1.1],\n brightness_range=[0.75, 1.25],\n color_range=[0.9, 1.1]),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='DefaultFormatBundle'),\n dict(\n type='Collect',\n keys=['img', 'depth_gt'],\n meta_keys=('filename', 'ori_filename', 'ori_shape',\n 'img_shape', 'pad_shape', 'scale_factor', 'flip',\n 'flip_direction', 'img_norm_cfg', 'cam_intrinsic'))\n ],\n garg_crop=False,\n eigen_crop=True,\n min_depth=0.001,\n max_depth=10),\n val=dict(\n type='NYUDataset',\n data_root='data/nyu/',\n depth_scale=1000,\n split='nyu_test.txt',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(480, 640),\n flip=True,\n flip_direction='horizontal',\n transforms=[\n dict(type='RandomFlip', direction='horizontal'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='ImageToTensor', keys=['img']),\n dict(\n type='Collect',\n keys=['img'],\n meta_keys=('filename', 'ori_filename', 'ori_shape',\n 'img_shape', 'pad_shape', 'scale_factor',\n 'flip', 'flip_direction', 'img_norm_cfg',\n 'cam_intrinsic'))\n ])\n ],\n garg_crop=False,\n eigen_crop=True,\n min_depth=0.001,\n max_depth=10),\n test=dict(\n type='NYUDataset',\n data_root='data/nyu/',\n depth_scale=1000,\n split='nyu_test.txt',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(480, 640),\n flip=True,\n flip_direction='horizontal',\n transforms=[\n dict(type='RandomFlip', direction='horizontal'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='ImageToTensor', keys=['img']),\n dict(\n type='Collect',\n keys=['img'],\n meta_keys=('filename', 'ori_filename', 'ori_shape',\n 'img_shape', 'pad_shape', 'scale_factor',\n 'flip', 'flip_direction', 'img_norm_cfg',\n 'cam_intrinsic'))\n ])\n ],\n garg_crop=False,\n eigen_crop=True,\n min_depth=0.001,\n max_depth=10))\nlog_config = dict(\n interval=50,\n hooks=[\n dict(type='TextLoggerHook', by_epoch=True),\n dict(type='TensorboardImageLoggerHook', by_epoch=True)\n ])\ndist_params = dict(backend='nccl')\nlog_level = 'INFO'\nload_from = None\nresume_from = None\nworkflow = [('train', 1)]\ncudnn_benchmark = True\nmax_lr = 0.0001\noptimizer = dict(\n type='AdamW', lr=0.0001, betas=(0.95, 0.99), weight_decay=0.01)\nlr_config = dict(\n policy='OneCycle',\n max_lr=0.0001,\n div_factor=25,\n final_div_factor=100,\n by_epoch=False)\noptimizer_config = dict(grad_clip=dict(max_norm=35, norm_type=2))\nrunner = dict(type='EpochBasedRunner', max_epochs=24)\ncheckpoint_config = dict(by_epoch=True, max_keep_ckpts=2, interval=1)\nevaluation = dict(by_epoch=True, interval=1, pre_eval=True)\nnorm_cfg = dict(type='BN', requires_grad=True)\nfind_unused_parameters = True\nSyncBN = True\nwork_dir = 'nfs/saves/adabins/r50_nyu_3'\ngpu_ids = range(0, 1)\nseed = None\n"}
{"mode": "train", "epoch": 1, "iter": 50, "lr": 0.0, "memory": 13810, "data_time": 0.43688, "decode.loss_depth": 5.03503, "decode.loss_chamfer": 0.44506, "loss": 5.48008, "grad_norm": 20.22369, "time": 1.14802}
{"mode": "train", "epoch": 1, "iter": 100, "lr": 0.0, "memory": 13810, "data_time": 0.00839, "decode.loss_depth": 4.53013, "decode.loss_chamfer": 0.37374, "loss": 4.90387, "grad_norm": 42.31355, "time": 0.53545}
{"mode": "train", "epoch": 1, "iter": 150, "lr": 0.0, "memory": 13810, "data_time": 0.00853, "decode.loss_depth": 4.19272, "decode.loss_chamfer": 0.38929, "loss": 4.58201, "grad_norm": 59.15919, "time": 0.53752}
{"mode": "train", "epoch": 1, "iter": 200, "lr": 0.0, "memory": 13810, "data_time": 0.00863, "decode.loss_depth": 3.89821, "decode.loss_chamfer": 0.37348, "loss": 4.27169, "grad_norm": 54.83894, "time": 0.53751}
{"mode": "train", "epoch": 1, "iter": 250, "lr": 0.0, "memory": 13810, "data_time": 0.00816, "decode.loss_depth": 3.71459, "decode.loss_chamfer": 0.36079, "loss": 4.07538, "grad_norm": 51.09403, "time": 0.5368}
{"mode": "train", "epoch": 1, "iter": 300, "lr": 0.0, "memory": 13810, "data_time": 0.00787, "decode.loss_depth": 3.55151, "decode.loss_chamfer": 0.34181, "loss": 3.89332, "grad_norm": 42.93448, "time": 0.53655}
{"mode": "train", "epoch": 1, "iter": 350, "lr": 0.0, "memory": 13810, "data_time": 0.00795, "decode.loss_depth": 3.44148, "decode.loss_chamfer": 0.33984, "loss": 3.78132, "grad_norm": 41.7541, "time": 0.53629}
{"mode": "train", "epoch": 1, "iter": 400, "lr": 0.0, "memory": 13810, "data_time": 0.00832, "decode.loss_depth": 3.20601, "decode.loss_chamfer": 0.31889, "loss": 3.5249, "grad_norm": 38.15535, "time": 0.53768}
{"mode": "train", "epoch": 1, "iter": 450, "lr": 0.0, "memory": 13810, "data_time": 0.00648, "decode.loss_depth": 3.14073, "decode.loss_chamfer": 0.32555, "loss": 3.46629, "grad_norm": 37.18323, "time": 0.5353}
{"mode": "train", "epoch": 1, "iter": 500, "lr": 0.0, "memory": 13810, "data_time": 0.00717, "decode.loss_depth": 3.11951, "decode.loss_chamfer": 0.30109, "loss": 3.42059, "grad_norm": 34.31807, "time": 0.53621}
{"mode": "train", "epoch": 1, "iter": 550, "lr": 0.0, "memory": 13810, "data_time": 0.00802, "decode.loss_depth": 3.09147, "decode.loss_chamfer": 0.27634, "loss": 3.36781, "grad_norm": 33.04738, "time": 0.53623}
{"mode": "train", "epoch": 1, "iter": 600, "lr": 0.0, "memory": 13810, "data_time": 0.00852, "decode.loss_depth": 2.94696, "decode.loss_chamfer": 0.28175, "loss": 3.22871, "grad_norm": 32.72256, "time": 0.53734}
{"mode": "train", "epoch": 1, "iter": 650, "lr": 0.0, "memory": 13810, "data_time": 0.00841, "decode.loss_depth": 2.94939, "decode.loss_chamfer": 0.28171, "loss": 3.2311, "grad_norm": 30.03096, "time": 0.53645}
{"mode": "train", "epoch": 1, "iter": 700, "lr": 0.0, "memory": 13810, "data_time": 0.00708, "decode.loss_depth": 2.85667, "decode.loss_chamfer": 0.27008, "loss": 3.12675, "grad_norm": 30.04855, "time": 0.5347}
{"mode": "train", "epoch": 1, "iter": 750, "lr": 1e-05, "memory": 13810, "data_time": 0.00842, "decode.loss_depth": 2.74334, "decode.loss_chamfer": 0.25484, "loss": 2.99818, "grad_norm": 28.40765, "time": 0.5362}
{"mode": "train", "epoch": 1, "iter": 800, "lr": 1e-05, "memory": 13810, "data_time": 0.00704, "decode.loss_depth": 2.79961, "decode.loss_chamfer": 0.235, "loss": 3.03461, "grad_norm": 27.00488, "time": 0.53517}
{"mode": "train", "epoch": 1, "iter": 850, "lr": 1e-05, "memory": 13810, "data_time": 0.00793, "decode.loss_depth": 2.69738, "decode.loss_chamfer": 0.24254, "loss": 2.93991, "grad_norm": 27.92357, "time": 0.53721}
{"mode": "train", "epoch": 1, "iter": 900, "lr": 1e-05, "memory": 13810, "data_time": 0.00825, "decode.loss_depth": 2.69008, "decode.loss_chamfer": 0.23329, "loss": 2.92338, "grad_norm": 26.35222, "time": 0.53701}
{"mode": "train", "epoch": 1, "iter": 950, "lr": 1e-05, "memory": 13810, "data_time": 0.00789, "decode.loss_depth": 2.65356, "decode.loss_chamfer": 0.22356, "loss": 2.87712, "grad_norm": 25.88388, "time": 0.53716}
{"mode": "train", "epoch": 1, "iter": 1000, "lr": 1e-05, "memory": 13810, "data_time": 0.00775, "decode.loss_depth": 2.58678, "decode.loss_chamfer": 0.2213, "loss": 2.80809, "grad_norm": 26.5786, "time": 0.53617}
{"mode": "train", "epoch": 1, "iter": 1050, "lr": 1e-05, "memory": 13810, "data_time": 0.0081, "decode.loss_depth": 2.555, "decode.loss_chamfer": 0.21501, "loss": 2.77001, "grad_norm": 27.36939, "time": 0.53574}
{"mode": "train", "epoch": 1, "iter": 1100, "lr": 1e-05, "memory": 13810, "data_time": 0.008, "decode.loss_depth": 2.58739, "decode.loss_chamfer": 0.19949, "loss": 2.78688, "grad_norm": 23.64302, "time": 0.53602}
{"mode": "train", "epoch": 1, "iter": 1150, "lr": 1e-05, "memory": 13810, "data_time": 0.00809, "decode.loss_depth": 2.50875, "decode.loss_chamfer": 0.20421, "loss": 2.71297, "grad_norm": 24.01949, "time": 0.53647}
{"mode": "train", "epoch": 1, "iter": 1200, "lr": 1e-05, "memory": 13810, "data_time": 0.00797, "decode.loss_depth": 2.43805, "decode.loss_chamfer": 0.20521, "loss": 2.64326, "grad_norm": 23.23976, "time": 0.53595}
{"mode": "train", "epoch": 1, "iter": 1250, "lr": 1e-05, "memory": 13810, "data_time": 0.00779, "decode.loss_depth": 2.47663, "decode.loss_chamfer": 0.17167, "loss": 2.6483, "grad_norm": 22.8575, "time": 0.53615}
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