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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 {
void bitwise_and_kernel_cuda(TensorIterator& iter) {
if (iter.dtype() == ScalarType::Bool) {
gpu_kernel_with_scalars(
iter,
[]GPU_LAMBDA(bool a, bool b) {
return a && b;
});
} else {
AT_DISPATCH_INTEGRAL_TYPES(iter.dtype(), "bitwise_and_cuda", [&]() {
gpu_kernel_with_scalars(
iter,
[]GPU_LAMBDA(scalar_t a, scalar_t b) -> scalar_t {
return a & b;
});
});
}
}
void bitwise_or_kernel_cuda(TensorIterator& iter) {
if (iter.dtype() == ScalarType::Bool) {
gpu_kernel_with_scalars(
iter,
[]GPU_LAMBDA(bool a, bool b) {
return a || b;
});
} else {
AT_DISPATCH_INTEGRAL_TYPES(iter.dtype(), "bitwise_or_cuda", [&]() {
gpu_kernel_with_scalars(
iter,
[]GPU_LAMBDA(scalar_t a, scalar_t b) -> scalar_t {
return a | b;
});
});
}
}
void bitwise_xor_kernel_cuda(TensorIterator& iter) {
if (iter.dtype() == ScalarType::Bool) {
// Boolean type does not work with ^ (bitwise XOR) in C++. bitwise_xor wraps this operation for both Boolean and
// integral types.
gpu_kernel_with_scalars(
iter,
[]GPU_LAMBDA(bool a, bool b) {
return a != b;
});
} else {
AT_DISPATCH_INTEGRAL_TYPES(iter.dtype(), "bitwise_xor_cuda", [&]() {
gpu_kernel_with_scalars(
iter,
[]GPU_LAMBDA(scalar_t a, scalar_t b) -> scalar_t {
return a ^ b;
});
});
}
}
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