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dnn(ocl4dnn): don't use getUMat()

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especially in CPU only processing
This commit is contained in:
Alexander Alekhin
2018-10-05 15:10:58 +03:00
parent 0101fa789c
commit 9d02d42afe
7 changed files with 48 additions and 20 deletions
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modules/dnn/src/layers/convolution_layer.cpp
+4 -2
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@@ -1452,8 +1452,10 @@ public:
if (umat_weights.empty())
{
transpose(blobs[0].reshape(1, inpCn), umat_weights);
umat_biases = hasBias() ? blobs[1].reshape(1, outCn).getUMat(ACCESS_READ) :
UMat::zeros(outCn, 1, CV_32F);
if (hasBias())
blobs[1].reshape(1, outCn).copyTo(umat_biases);
else
umat_biases = UMat::zeros(outCn, 1, CV_32F);
}
String buildopt = format("-DT=%s ", ocl::typeToStr(inputs[0].type()));