importONNXLayers, importONNXNetwork, and importONNXFunction can't import my onnx model?

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cui,xingxing
cui,xingxing 2021-3-3
评论： cui,xingxing 2021-5-8
As of March 3, 2021, importONNXLayers, importONNXNetwork, and importONNXFunction in the latest official version of onnx importer/exporter cannot import my onnx model?
My model link: R3D_50.onnx
Extraction code: kuni
net = importONNXLayers('R3D_50.onnx',...
'OutputLayerType','classification')
analyzeNetwork(net)
importONNXFunction ：
params = importONNXFunction('R3D_50.onnx',...
'resnet3D_50');
In both cases, the following internal errors occurred:
Error using nnet.internal.cnn.onnx.onnxmex
Invalid MEX-file
'C:\ProgramData\MATLAB\SupportPackages\R2020b\toolbox\nnet\supportpackages\onnx\+nnet\+internal\+cnn\+onnx\onnxmex.mexw64':
动态链接库(DLL)初始化例程失败。
Error in nnet.internal.cnn.onnx.ModelProto (line 31)
ModelPtr = onnxmex(int32(FuncName.EdeserializeFromFile), filename);
Error in nnet.internal.cnn.onnx.importONNXLayers (line 7)
modelProto =
nnet.internal.cnn.onnx.ModelProto(Filename);
Error in importONNXLayers (line 48)
Layers = nnet.internal.cnn.onnx.importONNXLayers(modelfile, varargin{:});
Error in testONNX2 (line 1)
net = importONNXLayers('D:\python_work\video_classification_pytorch\model\R3D_50.onnx',...
Error using nnet.internal.cnn.onnx.onnxmex
netron visual onnx model:

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采纳的回答

cui,xingxing
cui,xingxing 2021-3-16
As of March 15, 2021, using the latest version of MATLAB 2021a+Deep Learning Toolbox Converter for ONNX Model Format (version21.1.0) can import R3D_50.onnx, but the prerequisite is:
mv C:\ProgramData\MATLAB\SupportPackages\ R2021a\bin\win64\onnxpb.dll C:\ProgramData\MATLAB\SupportPackages\R2021a\toolbox\nnet\supportpackages\onnx\+nnet\+internal\+cnn\+onnx\
  2 个评论
cui,xingxing
cui,xingxing 2021-5-8
Functions affected by this bug are listed below.
  1. importONNXNetwork
  2. importONNXLayers
  3. importONNXFunction
  4. exportONNXNetwork
  5. importCaffeNetwork
  6. importCaffeLayers
Workaround
As a workaround, move the DLL to the directory where the MEX-file is located.
If you use Deep Learning Toolbox Converter for ONNX Model Format, type the following at the MATLAB command line.
>> source = fullfile( matlabshared.supportpkg.getSupportPackageRoot, "bin", "win64", "onnxpb.dll" );
>> destination = fullfile( matlabshared.supportpkg.getSupportPackageRoot, "toolbox", "nnet", "supportpackages", "onnx", "+nnet", "+internal", "+cnn", "+onnx", "onnxpb.dll" );
>> movefile( source, destination );
If you use Deep Learning Toolbox Importer for Caffe Models, type the following at the MATLAB command line.
>> source = fullfile( matlabshared.supportpkg.getSupportPackageRoot, "bin", "win64", "caffelib.dll" );
>> destination = fullfile( matlabshared.supportpkg.getSupportPackageRoot, "toolbox", "nnet", "supportpackages", "caffe_importer", "+nnet", "+internal", "+cnn", "+caffe", "caffelib.dll" );
>> movefile( source, destination );
Reference here:
https://www.mathworks.com/support/bugreports/2465087

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更多回答（1 个）

Ting Su
Ting Su 2021-3-15
Hi
Can you tell us which release of MATLAB you are using?
Ting

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