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Merge pull request #14833 from l-bat:ocv_eltwise3d
* Support Eltwise3d * Refactoring * Fix test
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@ -140,7 +140,7 @@ public:
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const std::vector<float>& coeffs, EltwiseOp op,
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const std::vector<float>& coeffs, EltwiseOp op,
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const ActivationLayer* activ, int nstripes)
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const ActivationLayer* activ, int nstripes)
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{
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{
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CV_Check(dst.dims, 1 < dst.dims && dst.dims <= 4, ""); CV_CheckTypeEQ(dst.type(), CV_32FC1, ""); CV_Assert(dst.isContinuous());
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CV_Check(dst.dims, 1 < dst.dims && dst.dims <= 5, ""); CV_CheckTypeEQ(dst.type(), CV_32FC1, ""); CV_Assert(dst.isContinuous());
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CV_Assert(coeffs.empty() || coeffs.size() == (size_t)nsrcs);
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CV_Assert(coeffs.empty() || coeffs.size() == (size_t)nsrcs);
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for( int i = 0; i < nsrcs; i++ )
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for( int i = 0; i < nsrcs; i++ )
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@ -156,9 +156,9 @@ public:
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p.dst = &dst;
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p.dst = &dst;
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p.op = op;
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p.op = op;
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p.nstripes = nstripes;
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p.nstripes = nstripes;
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p.channels = (dst.dims == 4 ? dst.size[1] : 1);
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p.channels = (dst.dims >= 4 ? dst.size[1] : 1);
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p.planeSize = (dst.dims >= 3 ? dst.size[dst.dims - 1] * dst.size[dst.dims - 2] :
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dst.size[dst.dims - 1]);
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p.planeSize = dst.total(dst.dims >= 4 ? 2 : 1);
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CV_Assert(dst.total() == dst.size[0] * p.channels * p.planeSize);
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CV_Assert(dst.total() == dst.size[0] * p.channels * p.planeSize);
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bool simpleCoeffs = true;
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bool simpleCoeffs = true;
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@ -146,6 +146,16 @@ TEST_P(Test_ONNX_layers, Concatenation)
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testONNXModels("concatenation");
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testONNXModels("concatenation");
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}
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}
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TEST_P(Test_ONNX_layers, Eltwise3D)
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{
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#if defined(INF_ENGINE_RELEASE) && INF_ENGINE_VER_MAJOR_LT(2019010000)
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throw SkipTestException("Test is enabled starts from 2019R1");
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#endif
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if (backend == DNN_BACKEND_INFERENCE_ENGINE && target != DNN_TARGET_CPU)
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throw SkipTestException("Only CPU on DLIE backend is supported");
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testONNXModels("eltwise3d");
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}
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TEST_P(Test_ONNX_layers, AveragePooling)
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TEST_P(Test_ONNX_layers, AveragePooling)
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{
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{
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testONNXModels("average_pooling");
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testONNXModels("average_pooling");
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