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dnn(opencl): fix convolution kernel w/o bias with activation

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This commit is contained in:
Alexander Alekhin
2020-09-27 23:42:30 +00:00
parent 236ad4aeda
commit c08f29c803
3 changed files with 4 additions and 8 deletions
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modules/dnn/test/test_layers.cpp
-7
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@@ -2223,13 +2223,6 @@ TEST_P(ConvolutionActivationFusion, Accuracy)
if (actType == "Power" && 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
if (actType == "ChannelsPReLU" && bias_term == false &&
backendId == DNN_BACKEND_OPENCV && (targetId == DNN_TARGET_OPENCL || targetId == DNN_TARGET_OPENCL_FP16))
{
applyTestTag(CV_TEST_TAG_DNN_SKIP_OPENCL);
}
Net net;
int convId = net.addLayer(convParams.name, convParams.type, convParams);
int activId = net.addLayerToPrev(activationParams.name, activationParams.type, activationParams);