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Merge pull request #22775 from WanliZhong:issue22713
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commit
a0a8d2160d
@ -2031,8 +2031,9 @@ void ONNXImporter::parseGemm(LayerParams& layerParams, const opencv_onnx::NodePr
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addLayer(layerParams, node_proto);
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}
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void ONNXImporter::parseMatMul(LayerParams& layerParams, const opencv_onnx::NodeProto& node_proto)
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void ONNXImporter::parseMatMul(LayerParams& layerParams, const opencv_onnx::NodeProto& node_proto_)
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{
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opencv_onnx::NodeProto node_proto = node_proto_;
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CV_Assert(node_proto.input_size() == 2);
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layerParams.type = "InnerProduct";
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layerParams.set("bias_term", false);
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@ -2044,8 +2045,24 @@ void ONNXImporter::parseMatMul(LayerParams& layerParams, const opencv_onnx::Node
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{
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Mat blob = getBlob(node_proto, 1);
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secondInpDims = blob.dims;
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layerParams.blobs.push_back(blob.t());
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layerParams.set("num_output", layerParams.blobs[0].size[0]);
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if (secondInpDims == 2)
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{
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layerParams.blobs.push_back(blob.t());
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layerParams.set("num_output", layerParams.blobs[0].size[0]);
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}
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else
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{
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LayerParams constParams;
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constParams.name = layerParams.name + "/const";
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constParams.type = "Const";
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constParams.blobs.push_back(blob);
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opencv_onnx::NodeProto tmpProto;
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tmpProto.add_output(constParams.name);
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addLayer(constParams, tmpProto);
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node_proto.set_input(1, constParams.name);
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}
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} else {
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secondInpDims = outShapes[node_proto.input(1)].size();
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}
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@ -956,6 +956,13 @@ TEST_P(Test_ONNX_layers, MatMul)
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testONNXModels("matmul_4d");
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}
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TEST_P(Test_ONNX_layers, MatMul_init)
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{
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testONNXModels("matmul_2d_init");
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testONNXModels("matmul_3d_init");
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testONNXModels("matmul_4d_init");
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}
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TEST_P(Test_ONNX_layers, MatMulAdd)
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{
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#if defined(INF_ENGINE_RELEASE) && INF_ENGINE_VER_MAJOR_EQ(2022010000)
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