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// Copyright (c) Microsoft Corporation. All rights reserved. | ||
// Licensed under the MIT License. | ||
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#include "device_prop.cuh" | ||
#include "utils.cuh" | ||
#include "negxplus1_impl.cuh" | ||
#include "cuda_type.h" | ||
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using namespace Ort::Custom; | ||
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template <typename T> | ||
__device__ __inline__ T _negxplus1(const T x) { | ||
return (T)1 - x; | ||
} | ||
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template <> | ||
__device__ __inline__ half _negxplus1(const half x) { | ||
#if __CUDA_ARCH__ < 700 | ||
return __float2half(1 - __half2float(x)); | ||
#else | ||
return (half)1 - x; | ||
#endif | ||
} | ||
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template <typename T> | ||
__global__ void NegXPlus1Kernel(T* output_data, const T* input_data, int N) { | ||
int id = blockDim.x * blockIdx.x + threadIdx.x; | ||
if (id >= N) | ||
return; | ||
output_data[id] = _negxplus1(input_data[id]); | ||
} | ||
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template <typename T> | ||
cudaError_t _LaunchNegXPlus1Kernel(cudaStream_t stream, int input_length, const T* input, T* output) { | ||
constexpr int blockSize = 256; | ||
const int gridSize = (input_length + blockSize - 1) / blockSize; | ||
using TT = typename contrib::CudaT<T>::MappedType; | ||
NegXPlus1Kernel<TT><<<gridSize, blockSize, 0, stream>>>((TT*)output, (const TT*)input, input_length); | ||
return cudaGetLastError(); | ||
} | ||
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template <> | ||
cudaError_t LaunchNegXPlus1Kernel<float>(cudaStream_t stream, int input_length, const float* input, float* output) { | ||
return _LaunchNegXPlus1Kernel(stream, input_length, input, output); | ||
} | ||
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template <> | ||
cudaError_t LaunchNegXPlus1Kernel<ortc::MFloat16>(cudaStream_t stream, int input_length, const ortc::MFloat16* input, ortc::MFloat16* output) { | ||
return _LaunchNegXPlus1Kernel(stream, input_length, input, output); | ||
} |
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