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MaxMinElementwiseKernel.cu
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#include <ATen/AccumulateType.h>
#include <ATen/Dispatch.h>
#include <ATen/native/BinaryOps.h>
#include <ATen/native/DispatchStub.h>
#include <ATen/native/TensorIterator.h>
#include <ATen/native/cuda/Loops.cuh>
// NOTE: CUDA on Windows requires that the enclosing function
// of a __device__ lambda not have internal linkage.
namespace at { namespace native {
void maximum_kernel_cuda(TensorIterator& iter) {
if (iter.dtype() == ScalarType::Bool) {
gpu_kernel_with_scalars(iter, []GPU_LAMBDA(bool a, bool b) -> bool {
return a || b;
});
} else if (isIntegralType(iter.dtype(), /*includeBool=*/ false)) {
AT_DISPATCH_INTEGRAL_TYPES(iter.dtype(), "max_elementwise_cuda", [&]() {
gpu_kernel_with_scalars(iter, []GPU_LAMBDA(scalar_t a, scalar_t b) -> scalar_t {
return ::max(a, b);
});
});
} else {
AT_DISPATCH_FLOATING_TYPES_AND2(at::ScalarType::Half, at::ScalarType::BFloat16, iter.dtype(), "max_elementwise_cuda", [&]() {
gpu_kernel_with_scalars(iter, []GPU_LAMBDA(scalar_t a, scalar_t b) -> scalar_t {
if (a != a) {
return a;
} else if (b != b) {
return b;
} else {
return ::max(a, b);
}
});
});
}
}
void minimum_kernel_cuda(TensorIterator& iter) {
if (iter.dtype() == ScalarType::Bool) {
gpu_kernel_with_scalars(iter, []GPU_LAMBDA(bool a, bool b) -> bool {
return a && b;
});
} else if (isIntegralType(iter.dtype(), /*includeBool=*/ false)) {
AT_DISPATCH_INTEGRAL_TYPES(iter.dtype(), "minimum_cuda", [&]() {
gpu_kernel_with_scalars(iter, []GPU_LAMBDA(scalar_t a, scalar_t b) -> scalar_t {
return ::min(a, b);
});
});
} else {
AT_DISPATCH_FLOATING_TYPES_AND2(at::ScalarType::Half, at::ScalarType::BFloat16, iter.dtype(), "min_elementwise_cuda", [&]() {
gpu_kernel_with_scalars(iter, []GPU_LAMBDA(scalar_t a, scalar_t b) -> scalar_t {
if (a != a) {
return a;
} else if (b != b) {
return b;
} else {
return ::min(a, b);
}
});
});
}
}
REGISTER_DISPATCH(maximum_stub, &maximum_kernel_cuda);
REGISTER_DISPATCH(minimum_stub, &minimum_kernel_cuda);
}} // namespace at::native