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open-mmlab / mmengine

OpenMMLab Foundational Library for Training Deep Learning Models
https://mmengine.readthedocs.io/
Apache License 2.0
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[Bug] Incorrect Iter num when resume from iteration #1205

Open zehuichen123 opened 1 year ago

zehuichen123 commented 1 year ago

Prerequisite

Environment

OrderedDict([('sys.platform', 'linux'), ('Python', '3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0]'), ('CUDA available', True), ('numpy_random_seed', 2147483648), ('GPU 0,1', 'NVIDIA GeForce RTX 3090'), ('CUDA_HOME', '/usr/local/cuda'), ('NVCC', 'Cuda compilation tools, release 11.3, V11.3.58'), ('GCC', 'gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0'), ('PyTorch', '1.10.0+cu113'), ('PyTorch compiling details', 'PyTorch built with:\n  - GCC 7.3\n  - C++ Version: 201402\n  - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications\n  - Intel(R) MKL-DNN v2.2.3 (Git Hash 7336ca9f055cf1bfa13efb658fe15dc9b41f0740)\n  - OpenMP 201511 (a.k.a. OpenMP 4.5)\n  - LAPACK is enabled (usually provided by MKL)\n  - NNPACK is enabled\n  - CPU capability usage: AVX2\n  - CUDA Runtime 11.3\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_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\n  - CuDNN 8.2\n  - Magma 2.5.2\n  - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, 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 -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -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=1.10.0, 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'), ('TorchVision', '0.11.0+cu113'), ('OpenCV', '4.7.0'), ('MMEngine', '0.7.3')])

Reproduces the problem - code sample

./tools/dist_train.sh configs/any_model_config.py 1 --resume

Reproduces the problem - command or script

NA

Reproduces the problem - error message

NA

Additional information

Hi, I am trying to resume experiments from a previous checkpoint, with an iter-based save interval (the model is trained with an EpochBasedTrainLoop. However, the logger is incorrect for the current training iter num: WeChatWorkScreenshot_e0922510-2214-417f-ab78-757901c97ce3 This bug disappeared if I change the log_processor from

log_processor = dict(type='LogProcessor', window_size=50, by_epoch=True)

to 

log_processor = dict(type='LogProcessor', window_size=50, by_epoch=False)
HAOCHENYE commented 1 year ago

Hi, you can refer to the docs to check whether you have configured the CheckpointHook, train_cfg, and log_processor correctly.