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paddlepaddle--paddle/paddle/phi/kernels/cpu/abs_kernel.cc
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2026-07-13 12:40:42 +08:00

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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 "paddle/phi/backends/cpu/cpu_context.h"
#include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/kernels/funcs/complex_functors.h"
#include "paddle/phi/kernels/funcs/for_range.h"
namespace phi {
template <typename T, typename Context>
PADDLE_API void AbsKernel(const Context& dev_ctx,
const DenseTensor& x,
DenseTensor* out) {
auto numel = x.numel();
auto* x_data = x.data<T>();
dev_ctx.template Alloc<dtype::Real<T>>(
out, size_t(x.numel() * sizeof(dtype::Real<T>)));
auto* out_data = out->data<dtype::Real<T>>();
funcs::ForRange<Context> for_range(dev_ctx, numel);
funcs::AbsFunctor<T> functor(x_data, out_data, numel);
for_range(functor);
}
} // namespace phi
PD_REGISTER_KERNEL(abs,
CPU,
ALL_LAYOUT,
phi::AbsKernel,
float,
double,
int,
int64_t,
phi::complex64,
phi::complex128) {
kernel->OutputAt(0).SetDataType(phi::dtype::ToReal(kernel_key.dtype()));
}