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[Bug] KeyError: 'Cannot find None in registry under scope name mmengine'

Open zhaoyuan-he opened this issue 2 years ago • 1 comments

Branch

main branch (1.x version, such as v1.0.0, or dev-1.x branch)

Prerequisite

Environment

sys.platform: linux Python: 3.8.17 (default, Jul 5 2023, 21:04:15) [GCC 11.2.0] CUDA available: True numpy_random_seed: 2147483648 GPU 0: NVIDIA GeForce RTX 3080 CUDA_HOME: /usr/local/cuda NVCC: Cuda compilation tools, release 11.6, V11.6.124 GCC: gcc (Ubuntu 7.5.0-6ubuntu2) 7.5.0 PyTorch: 1.13.1+cu116 PyTorch compiling details: PyTorch built with:

  • GCC 9.3
  • 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 v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815)
  • OpenMP 201511 (a.k.a. OpenMP 4.5)
  • LAPACK is enabled (usually provided by MKL)
  • NNPACK is enabled
  • CPU capability usage: AVX2
  • CUDA Runtime 11.6
  • 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 8.3.2 (built against CUDA 11.5)
  • Magma 2.6.1
  • Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -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 -Werror=non-virtual-dtor -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_VERSION=1.13.1, 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, USE_ROCM=OFF,

TorchVision: 0.14.1+cu116 OpenCV: 4.8.0 MMEngine: 0.8.2 MMAction2: 1.1.0+f2637ee MMCV: 2.0.1

Describe the bug

Cannot find ConvAudio when running test_resnet_audio_backbone() in test_resnet_audio.py. Looks like ConvAudio is not correctly registered.

Reproduces the problem - code sample

python mmaction/testing/_test_resnet_audio.py

Reproduces the problem - command or script

No response

Reproduces the problem - error message

Traceback (most recent call last):
  File "tests/models/backbones/test_resnet_audio.py", line 19, in <module>
    test_resnet_audio_backbone()
  File "tests/models/backbones/test_resnet_audio.py", line 13, in test_resnet_audio_backbone
    audioonly = ResNetAudio(50, None)
  File "/home/zyhe/Documents/Video_audio/mmaction2/mmaction/models/backbones/resnet_audio.py", line 216, in __init__
    self._make_stem_layer()
  File "/home/zyhe/Documents/Video_audio/mmaction2/mmaction/models/backbones/resnet_audio.py", line 316, in _make_stem_layer
    self.conv1 = ConvModule(
  File "/home/changhan/anaconda3/envs/openmmlab/lib/python3.8/site-packages/mmcv/cnn/bricks/conv_module.py", line 171, in __init__
    self.conv = build_conv_layer(
  File "/home/changhan/anaconda3/envs/openmmlab/lib/python3.8/site-packages/mmcv/cnn/bricks/conv.py", line 47, in build_conv_layer
    raise KeyError(f'Cannot find {conv_layer} in registry under scope '
KeyError: 'Cannot find None in registry under scope name mmengine'

Additional information

No response

zhaoyuan-he avatar Jul 16 '23 23:07 zhaoyuan-he

Thanks for your feedback, it seems that a bug in the ut. We have fixed the bug in https://github.com/open-mmlab/mmaction2/pull/2637, you may have a check.

cir7 avatar Aug 10 '23 07:08 cir7