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ActivationSoftplusKernel.cu
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ActivationSoftplusKernel.cu
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#define TORCH_ASSERT_NO_OPERATORS
#define _USE_MATH_DEFINES
#include <ATen/native/Activation.h>
#include <cmath>
#include <thrust/tuple.h>
#include <ATen/AccumulateType.h>
#include <ATen/Dispatch.h>
#include <ATen/core/TensorBase.h>
#include <c10/core/Scalar.h>
#include <c10/cuda/CUDAMathCompat.h>
#include <ATen/cuda/ApplyGridUtils.cuh>
#include <ATen/cuda/detail/OffsetCalculator.cuh>
#include <ATen/native/cuda/Loops.cuh>
namespace at::native {
namespace {
void softplus_kernel(
TensorIteratorBase& iter,
const Scalar& beta_,
const Scalar& threshold_) {
AT_DISPATCH_FLOATING_TYPES_AND2(
at::ScalarType::Half,
at::ScalarType::BFloat16,
iter.dtype(),
"softplus_cuda",
[&]() {
using opmath_t = at::opmath_type<scalar_t>;
auto beta = beta_.to<opmath_t>();
auto threshold = threshold_.to<opmath_t>();
gpu_kernel(iter, [beta, threshold] GPU_LAMBDA(scalar_t a) -> scalar_t {
opmath_t aop = static_cast<opmath_t>(a);
return (aop * beta) > threshold
? aop
: (::log1p(std::exp(aop * beta))) / beta;
});
});
}
void softplus_backward_kernel(
TensorIteratorBase& iter,
const Scalar& beta_,
const Scalar& threshold_) {
AT_DISPATCH_FLOATING_TYPES_AND2(
at::ScalarType::Half,
at::ScalarType::BFloat16,
iter.dtype(),
"softplus_backward_cuda",
[&]() {
using opmath_t = at::opmath_type<scalar_t>;
auto beta = beta_.to<opmath_t>();
auto threshold = threshold_.to<opmath_t>();
gpu_kernel(
iter,
[beta, threshold] GPU_LAMBDA(scalar_t a, scalar_t b) -> scalar_t {
opmath_t aop = static_cast<opmath_t>(a);
opmath_t bop = static_cast<opmath_t>(b);
opmath_t z = std::exp(bop * beta);
return (bop * beta) > threshold ? aop
: aop * z / (z + opmath_t(1.));
});
});
}
} // namespace
REGISTER_DISPATCH(softplus_stub, &softplus_kernel);
REGISTER_DISPATCH(softplus_backward_stub, &softplus_backward_kernel);
} // namespace at::native