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BinaryBitwiseOpsKernels.cu
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BinaryBitwiseOpsKernels.cu
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#include <ATen/Dispatch.h>
#include <ATen/native/DispatchStub.h>
#include <ATen/native/cuda/Loops.cuh>
#include <ATen/native/TensorIterator.h>
#include <ATen/native/BinaryOps.h>
// NOTE: CUDA on Windows requires that the enclosing function
// of a __device__ lambda not have internal linkage.
namespace at { namespace native {
template<typename scalar_t>
struct BitwiseAndFunctor {
__device__ __forceinline__ scalar_t operator()(scalar_t a, scalar_t b) const {
return a & b;
}
};
template<>
struct BitwiseAndFunctor<bool> {
__device__ __forceinline__ bool operator()(bool a, bool b) const {
return a && b;
}
};
void bitwise_and_kernel_cuda(TensorIterator& iter) {
AT_DISPATCH_INTEGRAL_TYPES_AND(kBool, iter.dtype(), "bitwise_and_cuda", [&]() {
BitwiseAndFunctor<scalar_t> f;
gpu_kernel_with_scalars(iter, f);
});
}
template<typename scalar_t>
struct BitwiseOrFunctor {
__device__ __forceinline__ scalar_t operator()(scalar_t a, scalar_t b) const {
return a | b;
}
};
template<>
struct BitwiseOrFunctor<bool> {
__device__ __forceinline__ bool operator()(bool a, bool b) const {
return a || b;
}
};
void bitwise_or_kernel_cuda(TensorIterator& iter) {
AT_DISPATCH_INTEGRAL_TYPES_AND(kBool, iter.dtype(), "bitwise_or_cuda", [&]() {
BitwiseOrFunctor<scalar_t> f;
gpu_kernel_with_scalars(iter, f);
});
}
template<typename scalar_t>
struct BitwiseXorFunctor {
__device__ __forceinline__ scalar_t operator()(scalar_t a, scalar_t b) const {
return a ^ b;
}
};
template<>
struct BitwiseXorFunctor<bool> {
__device__ __forceinline__ bool operator()(bool a, bool b) const {
return a != b;
}
};
void bitwise_xor_kernel_cuda(TensorIterator& iter) {
AT_DISPATCH_INTEGRAL_TYPES_AND(kBool, iter.dtype(), "bitwise_xor_cuda", [&]() {
BitwiseXorFunctor<scalar_t> f;
gpu_kernel_with_scalars(iter, f);
});
}
REGISTER_DISPATCH(bitwise_and_stub, &bitwise_and_kernel_cuda);
REGISTER_DISPATCH(bitwise_or_stub, &bitwise_or_kernel_cuda);
REGISTER_DISPATCH(bitwise_xor_stub, &bitwise_xor_kernel_cuda);
}} // namespace at::native