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Merge pull request #18246 from YashasSamaga:dnn-permute-fix-unwanted-ocl-init

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This commit is contained in:
Alexander Alekhin 2020-09-02 21:15:19 +00:00
commit 64c67a93d3
2 changed files with 22 additions and 18 deletions
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34
modules/dnn/src/layers/permute_layer.cpp
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@ -174,21 +174,9 @@ public:
computeStrides(shape(inputs[0]), shape(outputs[0]));
#ifdef HAVE_OPENCL
if (uorder.empty())
{
std::vector<int> orderVec(_order.begin(), _order.end());;
Mat morder(1, orderVec.size(), CV_32SC1, &orderVec[0]);
std::vector<int> oldStrideVec(_oldStride.begin(), _oldStride.end());
Mat mold_stride(1, _oldStride.size(), CV_32SC1, &oldStrideVec[0]);
std::vector<int> newStrideVec(_newStride.begin(), _newStride.end());
Mat mnew_stride(1, newStrideVec.size(), CV_32SC1, &newStrideVec[0]);
morder.copyTo(uorder);
mold_stride.copyTo(uold_stride);
mnew_stride.copyTo(unew_stride);
}
uorder.release();
uold_stride.release();
unew_stride.release();
#endif
}
@ -276,6 +264,22 @@ public:
if (!_needsPermute)
return false;
if (uorder.empty())
{
std::vector<int> orderVec(_order.begin(), _order.end());;
Mat morder(1, orderVec.size(), CV_32SC1, &orderVec[0]);
std::vector<int> oldStrideVec(_oldStride.begin(), _oldStride.end());
Mat mold_stride(1, _oldStride.size(), CV_32SC1, &oldStrideVec[0]);
std::vector<int> newStrideVec(_newStride.begin(), _newStride.end());
Mat mnew_stride(1, newStrideVec.size(), CV_32SC1, &newStrideVec[0]);
morder.copyTo(uorder);
mold_stride.copyTo(uold_stride);
mnew_stride.copyTo(unew_stride);
}
bool use_half = (inps.depth() == CV_16S);
String opts = format("-DDtype=%s", use_half ? "half" : "float");
for (size_t i = 0; i < inputs.size(); i++)

6
modules/dnn/test/test_layers.cpp
View File

@ -2343,7 +2343,7 @@ TEST_P(ConvolutionEltwiseActivationFusion, Accuracy)
if (eltwiseOp != "sum" && weightedEltwise)
throw SkipTestException("weighted eltwise not supported");
LayerParams eltwiseParams;
TestLayerFusion::makeDefaultTestEltwiseLayer(eltwiseParams, eltwiseOp, false);
TestLayerFusion::makeDefaultTestEltwiseLayer(eltwiseParams, eltwiseOp, weightedEltwise);
std::string actType = get<3>(GetParam());
LayerParams activationParams;
@ -2353,7 +2353,7 @@ TEST_P(ConvolutionEltwiseActivationFusion, Accuracy)
Target targetId = get<1>(get<4>(GetParam()));
// bug: https://github.com/opencv/opencv/issues/17945
if (eltwiseOp != "sum" && backendId == DNN_BACKEND_OPENCV && (targetId == DNN_TARGET_OPENCL || targetId == DNN_TARGET_OPENCL_FP16))
if ((eltwiseOp != "sum" || weightedEltwise) && backendId == DNN_BACKEND_OPENCV && (targetId == DNN_TARGET_OPENCL || targetId == DNN_TARGET_OPENCL_FP16))
applyTestTag(CV_TEST_TAG_DNN_SKIP_OPENCL);
// bug: https://github.com/opencv/opencv/issues/17953
@ -2440,7 +2440,7 @@ TEST_P(ConvolutionActivationEltwiseFusion, Accuracy)
if (eltwiseOp != "sum" && weightedEltwise)
throw SkipTestException("weighted eltwise not supported");
LayerParams eltwiseParams;
TestLayerFusion::makeDefaultTestEltwiseLayer(eltwiseParams, eltwiseOp, false);
TestLayerFusion::makeDefaultTestEltwiseLayer(eltwiseParams, eltwiseOp, weightedEltwise);
Backend backendId = get<0>(get<4>(GetParam()));
Target targetId = get<1>(get<4>(GetParam()));