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@ -18,39 +18,34 @@
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#include "runtime/device/gpu/cuda_common.h"
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#include "include/cuda_fp16.h"
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template <typename T, typename S>
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__global__ void ArgmaxWithValue(const T* input, const int bound, int outerSize, int innerSize, S* index,
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T* output) {
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for (size_t pos = blockIdx.x * blockDim.x + threadIdx.x; pos < (outerSize); pos += blockDim.x * gridDim.x) {
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int inputOutterOffset = pos * innerSize * bound;
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int outputOutterOffset = pos * innerSize;
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for (int j = 0; j < innerSize; j++) {
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auto outputInnerOffset = outputOutterOffset + j;
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S idx = 0;
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T maxData = input[j + inputOutterOffset];
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for (S c = 0; c < bound; c++) {
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int offset = j + c * innerSize;
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auto inputData = input[inputOutterOffset + offset];
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idx = inputData > maxData ? c : idx;
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maxData = inputData > maxData ? inputData : maxData;
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}
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output[outputInnerOffset] = maxData;
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index[outputInnerOffset] = idx;
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}
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__global__ void ArgmaxWithValue(const T *input, const int bound, int outerSize, int innerSize, S *index, T *output) {
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for (size_t pos = blockIdx.x * blockDim.x + threadIdx.x; pos < outerSize * innerSize; pos += gridDim.x * blockDim.x) {
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int x = pos / innerSize % outerSize;
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int y = pos % innerSize;
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S idx = 0;
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int InputOffset = x * bound * innerSize + 0 * innerSize + y;
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T maxData = input[InputOffset];
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for (int i = 0; i < bound; i++) {
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InputOffset = x * bound * innerSize + i * innerSize + y;
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auto inputData = input[InputOffset];
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idx = inputData > maxData ? i : idx;
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maxData = inputData > maxData ? inputData : maxData;
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}
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output[pos] = maxData;
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index[pos] = idx;
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}
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return;
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}
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template <typename T, typename S>
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void CalArgmaxWithValue(const T* input, const int bound_, const int outerSize_, const int innerSize_,
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S* index, T* output, cudaStream_t cuda_stream) {
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ArgmaxWithValue<<<GET_BLOCKS(outerSize_), GET_THREADS, 0, cuda_stream>>>(input, bound_, outerSize_, innerSize_,
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index, output);
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void CalArgmaxWithValue(const T *input, const int bound_, const int outerSize_, const int innerSize_, S *index,
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T *output, cudaStream_t cuda_stream) {
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ArgmaxWithValue<<<GET_BLOCKS(outerSize_), GET_THREADS, 0, cuda_stream>>>(input, bound_, outerSize_, innerSize_, index,
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output);
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return;
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}
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template void CalArgmaxWithValue<float, int>(const float* input, const int bound_, const int outerSize_,
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const int innerSize_, int* index, float* output,
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cudaStream_t cuda_stream);
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template void CalArgmaxWithValue<half, int>(const half* input, const int bound_, const int outerSize_,
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const int innerSize_, int* index, half* output,
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cudaStream_t cuda_stream);
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template void CalArgmaxWithValue<float, int>(const float *input, const int bound_, const int outerSize_,
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const int innerSize_, int *index, float *output, cudaStream_t cuda_stream);
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template void CalArgmaxWithValue<half, int>(const half *input, const int bound_, const int outerSize_,
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const int innerSize_, int *index, half *output, cudaStream_t cuda_stream);
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