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KernelUtils.cuh
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KernelUtils.cuh
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#pragma once
#include <ATen/ATen.h>
#include <THC/THCAtomics.cuh>
namespace at {
namespace native {
template <
typename scalar_t,
typename std::enable_if<std::is_same<c10::Half, scalar_t>::value>::type* =
nullptr>
__device__ __forceinline__ void fastSpecializedAtomicAdd(
scalar_t* tensor,
size_t index,
const size_t numel,
scalar_t value) {
#if ( \
(CUDA_VERSION < 10000) || \
(defined(__CUDA_ARCH__) && (__CUDA_ARCH__ < 700)))
gpuAtomicAdd(
reinterpret_cast<at::Half*>(tensor) + index,
static_cast<at::Half>(value));
#else
// Accounts for the chance tensor falls on an odd 16 bit alignment (ie, not 32 bit aligned)
__half* target_addr = reinterpret_cast<__half*>(tensor + index);
bool low_byte = (reinterpret_cast<std::uintptr_t>(target_addr) % sizeof(__half2) == 0);
if (low_byte && index < (numel - 1)) {
__half2 value2;
value2.x = value;
value2.y = __int2half_rz(0);
atomicAdd(reinterpret_cast<__half2*>(target_addr), value2);
} else if (!low_byte && index > 0) {
__half2 value2;
value2.x = __int2half_rz(0);
value2.y = value;
atomicAdd(reinterpret_cast<__half2*>(target_addr - 1), value2);
} else {
atomicAdd(
reinterpret_cast<__half*>(tensor) + index, static_cast<__half>(value));
}
#endif
}
template <
typename scalar_t,
typename std::enable_if<!std::is_same<c10::Half, scalar_t>::value>::type* =
nullptr>
__device__ __forceinline__ void fastSpecializedAtomicAdd(
scalar_t* tensor,
size_t index,
const size_t numel,
scalar_t value) {
gpuAtomicAdd(tensor + index, value);
}
template <class scalar_t>
__device__ __forceinline__ void fastAtomicAdd(
scalar_t* tensor,
size_t index,
const size_t numel,
scalar_t value,
bool fast_atomics) {
if (fast_atomics) {
fastSpecializedAtomicAdd(tensor, index, numel, value);
} else {
gpuAtomicAdd(tensor + index, value);
}
}
} // namespace native
} // namespace at