| #define TORCH_ASSERT_NO_OPERATORS |
| #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(TensorIteratorBase& iter) { |
| AT_DISPATCH_INTEGRAL_TYPES_AND(kBool, iter.dtype(), "bitwise_and_cuda", [&]() { |
| BitwiseAndFunctor<scalar_t> f; |
| opmath_symmetric_gpu_kernel_with_scalars<scalar_t>(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(TensorIteratorBase& iter) { |
| AT_DISPATCH_INTEGRAL_TYPES_AND(kBool, iter.dtype(), "bitwise_or_cuda", [&]() { |
| BitwiseOrFunctor<scalar_t> f; |
| opmath_symmetric_gpu_kernel_with_scalars<scalar_t>(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(TensorIteratorBase& iter) { |
| AT_DISPATCH_INTEGRAL_TYPES_AND(kBool, iter.dtype(), "bitwise_xor_cuda", [&]() { |
| BitwiseXorFunctor<scalar_t> f; |
| opmath_symmetric_gpu_kernel_with_scalars<scalar_t>(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 |