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abs_kernel.cu
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80 lines (69 loc) · 2.64 KB
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// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#include "paddle/phi/kernels/abs_kernel.h"
#include <algorithm>
#include <vector>
#include "paddle/phi/backends/gpu/gpu_context.h"
#include "paddle/phi/core/dense_tensor.h"
#include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/kernels/funcs/complex_functors.h"
#include "paddle/phi/kernels/funcs/elementwise_base.h"
namespace phi {
template <typename T, typename Enable = void>
struct CudaAbsFunctor;
template <typename T>
struct CudaAbsFunctor<T, funcs::Complex<T, dtype::Real<T>>> {
__device__ __forceinline__ dtype::Real<T> operator()(const T x) const {
return abs(x);
}
};
template <typename T>
struct CudaAbsFunctor<T,
std::enable_if_t<std::is_same<T, dtype::Real<T>>::value &&
std::is_same<T, bfloat16>::value>> {
__device__ __forceinline__ T operator()(const T x) const { return abs(x); }
};
template <typename T>
struct CudaAbsFunctor<T,
std::enable_if_t<std::is_same<T, dtype::Real<T>>::value &&
!std::is_same<T, bfloat16>::value>> {
__device__ __forceinline__ T operator()(const T x) const {
return std::abs(x);
}
};
template <typename T, typename Context>
PADDLE_API void AbsKernel(const Context& dev_ctx,
const DenseTensor& x,
DenseTensor* out) {
dev_ctx.template Alloc<dtype::Real<T>>(out);
std::vector<const DenseTensor*> ins = {&x};
std::vector<DenseTensor*> outs = {out};
auto functor = CudaAbsFunctor<T>();
funcs::ElementwiseKernel<dtype::Real<T>>(dev_ctx, ins, &outs, functor);
}
} // namespace phi
PD_REGISTER_KERNEL(abs,
GPU,
ALL_LAYOUT,
phi::AbsKernel,
float,
double,
int,
int64_t,
phi::float16,
phi::bfloat16,
phi::complex64,
phi::complex128) {
kernel->OutputAt(0).SetDataType(phi::dtype::ToReal(kernel_key.dtype()));
}