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Fix accuracy fp16 kernel return fp32 tensor error #48803

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merged 1 commit into from
Dec 7, 2022
Merged

Fix accuracy fp16 kernel return fp32 tensor error #48803

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12 changes: 6 additions & 6 deletions paddle/phi/kernels/gpu/accuracy_kernel.cu
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Original file line number Diff line number Diff line change
Expand Up @@ -26,13 +26,13 @@
namespace phi {
using phi::PADDLE_CUDA_NUM_THREADS;

template <int BlockSize>
template <int BlockSize, typename T>
__global__ void AccuracyCudaKernel(const int N,
const int D,
const int64_t* Xdata,
const int64_t* labeldata,
int* correct_data,
float* accuracy,
T* accuracy,
int* total_data) {
int count = 0;
__shared__ int total[BlockSize];
Expand Down Expand Up @@ -64,7 +64,7 @@ __global__ void AccuracyCudaKernel(const int N,
#endif
if (threadIdx.x == 0) {
*correct_data = result;
*accuracy = static_cast<float>(result) / static_cast<float>(N);
*accuracy = static_cast<T>(result) / static_cast<T>(N);
*total_data = N;
}
}
Expand All @@ -84,18 +84,18 @@ void AccuracyRawKernel(const Context& dev_ctx,

int* correct_data = dev_ctx.template Alloc<int>(correct);
int* total_data = dev_ctx.template Alloc<int>(total);
float* accuracy_data = dev_ctx.template Alloc<float>(accuracy);
T* accuracy_data = dev_ctx.template Alloc<T>(accuracy);

int num_samples = static_cast<int>(inference.dims()[0]);
size_t infer_width = inference.dims()[1];
auto stream = dev_ctx.stream();
phi::backends::gpu::GpuMemsetAsync(accuracy_data, 0, sizeof(float), stream);
phi::backends::gpu::GpuMemsetAsync(accuracy_data, 0, sizeof(T), stream);

if (num_samples == 0) {
return;
}

AccuracyCudaKernel<PADDLE_CUDA_NUM_THREADS>
AccuracyCudaKernel<PADDLE_CUDA_NUM_THREADS, T>
<<<1, PADDLE_CUDA_NUM_THREADS, 0, stream>>>(num_samples,
infer_width,
indices_data,
Expand Down