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elementwise_grad_kernel.cc
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/
elementwise_grad_kernel.cc
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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/elementwise_grad_kernel.h"
#include "paddle/phi/backends/cpu/cpu_context.h"
#include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/kernels/copy_kernel.h"
#include "paddle/phi/kernels/cpu/elementwise_grad.h"
#include "paddle/phi/kernels/funcs/elementwise_functor.h"
#include "paddle/phi/kernels/impl/elementwise_grad_kernel_impl.h"
namespace phi {
template <typename T, typename Context>
void MaximumGradKernel(const Context& dev_ctx,
const DenseTensor& x,
const DenseTensor& y,
const DenseTensor& dout,
int axis,
DenseTensor* dx,
DenseTensor* dy) {
funcs::ElementwiseGradPreProcess(dout, dx);
phi::funcs::ElemwiseGradCompute<Context, T, MaxGradDx<T>, MaxGradDy<T>>(
dev_ctx, x, y, dout, dout, axis, dx, dy, MaxGradDx<T>(), MaxGradDy<T>());
}
template <typename T, typename Context>
void MinimumGradKernel(const Context& dev_ctx,
const DenseTensor& x,
const DenseTensor& y,
const DenseTensor& dout,
int axis,
DenseTensor* dx,
DenseTensor* dy) {
funcs::ElementwiseGradPreProcess(dout, dx);
phi::funcs::ElemwiseGradCompute<Context, T, MinGradDx<T>, MinGradDy<T>>(
dev_ctx, x, y, dout, dout, axis, dx, dy, MinGradDx<T>(), MinGradDy<T>());
}
} // namespace phi
PD_REGISTER_KERNEL(fmax_grad,
CPU,
ALL_LAYOUT,
phi::ElementwiseFMaxGradKernel,
float,
double,
int,
int64_t) {}
PD_REGISTER_KERNEL(fmin_grad,
CPU,
ALL_LAYOUT,
phi::ElementwiseFMinGradKernel,
float,
double,
int,
int64_t) {}
PD_REGISTER_KERNEL(maximum_grad,
CPU,
ALL_LAYOUT,
phi::MaximumGradKernel,
float,
double,
int,
int64_t,
phi::dtype::bfloat16) {}
PD_REGISTER_KERNEL(minimum_grad,
CPU,
ALL_LAYOUT,
phi::MinimumGradKernel,
float,
double,
int,
int64_t,
phi::dtype::bfloat16) {}
PD_REGISTER_KERNEL(elementwise_heaviside_grad,
CPU,
ALL_LAYOUT,
phi::ElementwiseHeavisideGradKernel,
float,
double,
int,
int64_t) {}
PD_REGISTER_KERNEL(elementwise_pow_grad,
CPU,
ALL_LAYOUT,
phi::ElementwisePowGradKernel,
float,
double,
int,
int64_t) {}