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

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// Copyright (c) 2024 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/reduce_as_kernel.h"
#include "paddle/phi/core/device_context.h"
#include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/kernels/funcs/common_shape.h"
#include "paddle/phi/kernels/funcs/reduce_functor.h"
#include "paddle/phi/kernels/impl/reduce_grad.h"
namespace phi {
template <typename T, typename Context>
void ReduceAsGradKernel(const Context& dev_ctx,
const DenseTensor& x,
const DenseTensor& target,
const DenseTensor& out_grad,
DenseTensor* x_grad) {
auto reduce_dim = funcs::GetReduceDims(x, target);
if (reduce_dim.size() != 0) {
ReduceGradKernel<Context, T, funcs::SumGradFunctor, true>(
dev_ctx, x, paddle::none, out_grad, reduce_dim, false, false, x_grad);
} else {
dev_ctx.template Alloc<T>(x_grad);
Copy(dev_ctx, out_grad, dev_ctx.GetPlace(), false, x_grad);
}
}
} // namespace phi
PD_REGISTER_KERNEL(reduce_as_grad,
CPU,
ALL_LAYOUT,
phi::ReduceAsGradKernel,
bool,
float,
double,
phi::float16,
phi::bfloat16,
int16_t,
int,
int64_t,
uint8_t,
int8_t,
phi::complex64,
phi::complex128) {
kernel->OutputAt(0).SetDataType(phi::DataType::UNDEFINED);
}