UMat src = inputs[ii].reshape(1, s.size(), &s[0]);
UMat dst = outputs[ii].reshape(1, s.size(), &s[0]);
int number = (s[1] % 8 == 0) ? 8 : ((s[1] % 4 == 0) ? 4 : 1);
- String buildopt = format("-DNUM=%d ", number);
+ String buildopt = format("-DNUM=%d", number);
String kname = format("batch_norm%d", number);
ocl::Kernel kernel(kname.c_str(), ocl::dnn::batchnorm_oclsrc, buildopt);
if (kernel.empty())
int number = (s[1] % 8 == 0) ? 8 : ((s[1] % 4 == 0) ? 4 : 1);
size_t global[] = { (size_t)s[0], (size_t)(s[1] / number) };
- String buildopt = format("-DNUM=%d ", number);
+ String buildopt = format("-DNUM=%d", number);
if (normVariance)
{
String kname = format("calc_mean%d", number);
}
String kname = format("mvn%d", number);
- buildopt += format("%s %s %s ", (normVariance) ? "-DNORM_VARIANCE" : "",
- (fuse_batch_norm) ? "-DFUSE_BATCH_NORM" : "",
- (fuse_relu) ? "-DFUSE_RELU" : "");
+ buildopt += format("%s%s%s", (normVariance) ? " -DNORM_VARIANCE" : "",
+ (fuse_batch_norm) ? " -DFUSE_BATCH_NORM" : "",
+ (fuse_relu) ? " -DFUSE_RELU" : "");
ocl::Kernel kernel1(kname.c_str(), ocl::dnn::mvn_oclsrc, buildopt);
if (kernel1.empty())
return false;