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UnaryGammaKernels.cu
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UnaryGammaKernels.cu
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#include <limits>
#include <ATen/native/UnaryOps.h>
#include <ATen/native/cuda/Loops.cuh>
#include <ATen/AccumulateType.h>
#include <ATen/Context.h>
#include <ATen/Dispatch.h>
#include <ATen/native/DispatchStub.h>
#include <ATen/native/TensorIterator.h>
#include <ATen/native/cuda/Math.cuh>
namespace at { namespace native {
void digamma_kernel_cuda(TensorIterator& iter) {
AT_DISPATCH_FLOATING_TYPES_AND_HALF(iter.common_dtype(), "digamma_cuda", [&]() {
gpu_kernel(iter, []GPU_LAMBDA(scalar_t a) -> scalar_t {
return calc_digamma(a);
});
});
}
void trigamma_kernel_cuda(TensorIterator& iter) {
AT_DISPATCH_FLOATING_TYPES_AND_HALF(iter.dtype(), "trigamma_cuda", [&]() {
gpu_kernel(iter, []GPU_LAMBDA(scalar_t a) -> scalar_t {
return calc_trigamma(a);
});
});
}
void polygamma_kernel_cuda(TensorIterator& iter, int64_t n) {
if (n == 0) {
digamma_kernel_cuda(iter);
} else if (n == 1) {
trigamma_kernel_cuda(iter);
} else {
AT_DISPATCH_FLOATING_TYPES_AND_HALF(iter.dtype(), "polygamma_cuda", [&]() {
gpu_kernel(iter, [=] GPU_LAMBDA(scalar_t a) -> scalar_t {
return calc_polygamma(int(n), a);
});
});
}
}
void lgamma_kernel_cuda(TensorIterator& iter) {
AT_DISPATCH_FLOATING_TYPES_AND_HALF(iter.dtype(), "lgamma_cuda", [&]() {
gpu_kernel(iter, []GPU_LAMBDA(scalar_t a) -> scalar_t {
return ::lgamma(a);
});
});
}
REGISTER_DISPATCH(digamma_stub, &digamma_kernel_cuda);
REGISTER_DISPATCH(polygamma_stub, &polygamma_kernel_cuda);
REGISTER_DISPATCH(lgamma_stub, &lgamma_kernel_cuda);
}} // namespace at::native