|
|
|
@ -1257,8 +1257,11 @@ bool OCL4DNNConvSpatial<float>::verifyResult(const UMat &bottom, |
|
|
|
|
else if (config->tested) |
|
|
|
|
return false; |
|
|
|
|
|
|
|
|
|
int32_t sz[4] = {numImages, num_output_, output_h_, output_w_}; |
|
|
|
|
top.zeros(4, sz, (use_half_) ? CV_16SC1 : CV_32FC1); |
|
|
|
|
//int32_t sz[4] = {numImages, num_output_, output_h_, output_w_};
|
|
|
|
|
CV_CheckEQ(top.total(), (size_t)numImages * num_output_ * output_h_ * output_w_, ""); |
|
|
|
|
CV_CheckTypeEQ(top.type(), (use_half_) ? CV_16SC1 : CV_32FC1, ""); |
|
|
|
|
top.setTo(Scalar::all(0)); |
|
|
|
|
|
|
|
|
|
bool saved_tuned = tuned_; |
|
|
|
|
tuned_ = false; |
|
|
|
|
convolve(bottom, top, weight, bias, numImages, config); |
|
|
|
|