配置mmseg的时候出现问题ModuleNotFoundError: class `IterBasedTrainLoop` in mmengine/runner/loops.py: No module named 'mmseg.datasets.samplers'

[lyk595]

Thanks for your error report and we appreciate it a lot.

Checklist

1. I have searched related issues but cannot get the expected help.
2. The bug has not been fixed in the latest version.

Describe the bug /home/lyk/lyk/mmsegmentation-1.0.0rc6/mmseg/datasets/transforms/loading.py:78: UserWarning: reduce_zero_label will be deprecated, if you would like to ignore the zero label, please set reduce_zero_label=True when dataset initialized warnings.warn('reduce_zero_label will be deprecated, ' Traceback (most recent call last): File "/home/lyk/anaconda3/envs/mmseg106/lib/python3.8/site-packages/mmengine/registry/build_functions.py", line 122, in build_from_cfg obj = obj_cls(*args) # type: ignore File "/home/lyk/anaconda3/envs/mmseg106/lib/python3.8/site-packages/mmengine/runner/loops.py", line 219, in init super().init(runner, dataloader) File "/home/lyk/anaconda3/envs/mmseg106/lib/python3.8/site-packages/mmengine/runner/base_loop.py", line 26, in init self.dataloader = runner.build_dataloader( File "/home/lyk/anaconda3/envs/mmseg106/lib/python3.8/site-packages/mmengine/runner/runner.py", line 1358, in build_dataloader sampler = DATA_SAMPLERS.build( File "/home/lyk/anaconda3/envs/mmseg106/lib/python3.8/site-packages/mmengine/registry/registry.py", line 548, in build return self.build_func(cfg, args, **kwargs, registry=self) File "/home/lyk/anaconda3/envs/mmseg106/lib/python3.8/site-packages/mmengine/registry/build_functions.py", line 98, in build_from_cfg obj_cls = registry.get(obj_type) File "/home/lyk/anaconda3/envs/mmseg106/lib/python3.8/site-packages/mmengine/registry/registry.py", line 442, in get self.import_from_location() File "/home/lyk/anaconda3/envs/mmseg106/lib/python3.8/site-packages/mmengine/registry/registry.py", line 376, in import_from_location import_module(loc) File "/home/lyk/anaconda3/envs/mmseg106/lib/python3.8/importlib/init.py", line 127, in import_module return _bootstrap._gcd_import(name[level:], package, level) File "", line 1014, in _gcd_import File "", line 991, in _find_and_load File "", line 973, in _find_and_load_unlocked ModuleNotFoundError: No module named 'mmseg.datasets.samplers'

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "train.py", line 101, in main() File "train.py", line 97, in main runner.train() File "/home/lyk/anaconda3/envs/mmseg106/lib/python3.8/site-packages/mmengine/runner/runner.py", line 1687, in train self._train_loop = self.build_train_loop( File "/home/lyk/anaconda3/envs/mmseg106/lib/python3.8/site-packages/mmengine/runner/runner.py", line 1479, in build_train_loop loop = LOOPS.build( File "/home/lyk/anaconda3/envs/mmseg106/lib/python3.8/site-packages/mmengine/registry/registry.py", line 548, in build return self.build_func(cfg, *args, **kwargs, registry=self) File "/home/lyk/anaconda3/envs/mmseg106/lib/python3.8/site-packages/mmengine/registry/build_functions.py", line 144, in build_from_cfg raise type(e)( ModuleNotFoundError: class IterBasedTrainLoop in mmengine/runner/loops.py: No module named 'mmseg.datasets.samplers'

Reproduction

1. What command or script did you run?

python tools/train.py

2. Did you make any modifications on the code or config? Did you understand what you have modified? 我只是在根据教程配置mmseg。

3. What dataset did you use? voc2012和ade20都出现这种情况。

Environment

sys.platform: linux Python: 3.8.16 | packaged by conda-forge | (default, Feb 1 2023, 16:01:55) [GCC 11.3.0] CUDA available: True numpy_random_seed: 2147483648 GPU 0,1: NVIDIA GeForce RTX 4090 CUDA_HOME: /usr/local/cuda-11.3 NVCC: Cuda compilation tools, release 11.3, V11.3.109 GCC: gcc (Ubuntu 6.5.0-2ubuntu1~18.04) 6.5.0 20181026 PyTorch: 1.9.0+cu111 PyTorch compiling details: PyTorch built with:

• GCC 7.3
• C++ Version: 201402
• Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications
• Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb)
• OpenMP 201511 (a.k.a. OpenMP 4.5)
• NNPACK is enabled
• CPU capability usage: AVX2
• CUDA Runtime 11.1
• 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 8.0.5
• Magma 2.5.2
• 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 -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -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=1.9.0, 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,

TorchVision: 0.10.0+cu111 OpenCV: 4.7.0 MMEngine: 0.7.4 MMSegmentation: 1.0.0rc6+

[mm-assistant[bot]]

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[xiexinch]

Hi @lyk595, 可以看一下怎么配置的吗？

[HePengguang]

same issue, did you sovle this?

[0xrjman]

I have also encountered the same issue.

My solution was to upgrade mmseg to version 1.1.0 or higher. version <= v1.0.0rc6 version >= v1.0.0