|
|
|
@ -242,7 +242,8 @@ kernel::LiteKernel *CpuConvFp16KernelCreator(const std::vector<lite::tensor::Ten
|
|
|
|
|
|
|
|
|
|
kernel::LiteKernel *kernel = nullptr;
|
|
|
|
|
if (kernel_h == 1 && kernel_w == 1) {
|
|
|
|
|
kernel = new (std::nothrow) kernel::Convolution1x1FP16CPUKernel(opParameter, inputs, outputs, ctx, primitive);
|
|
|
|
|
// kernel = new (std::nothrow) kernel::Convolution1x1FP16CPUKernel(opParameter, inputs, outputs, ctx, primitive);
|
|
|
|
|
kernel = new (std::nothrow) kernel::ConvolutionFP16CPUKernel(opParameter, inputs, outputs, ctx, primitive);
|
|
|
|
|
} else {
|
|
|
|
|
bool use_winograd = false;
|
|
|
|
|
int out_unit;
|
|
|
|
@ -273,5 +274,5 @@ kernel::LiteKernel *CpuConvFp16KernelCreator(const std::vector<lite::tensor::Ten
|
|
|
|
|
}
|
|
|
|
|
return kernel;
|
|
|
|
|
}
|
|
|
|
|
// REG_KERNEL(kCPU, kNumberTypeFloat16, PrimitiveType_Conv2D, CpuConvFp16KernelCreator)
|
|
|
|
|
REG_KERNEL(kCPU, kNumberTypeFloat16, PrimitiveType_Conv2D, CpuConvFp16KernelCreator)
|
|
|
|
|
} // namespace mindspore::kernel
|
|
|
|
|