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unary_grad_kernel_impl.h
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unary_grad_kernel_impl.h
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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.
#pragma once
#include "paddle/phi/core/sparse_coo_tensor.h"
#include "paddle/phi/core/sparse_csr_tensor.h"
#include "paddle/phi/core/tensor_utils.h"
#include "paddle/phi/kernels/abs_grad_kernel.h"
#include "paddle/phi/kernels/activation_grad_kernel.h"
#include "paddle/phi/kernels/cast_kernel.h"
#include "paddle/phi/kernels/sparse/empty_kernel.h"
#include "paddle/phi/kernels/sparse/impl/unary_kernel_impl.h"
namespace phi {
namespace sparse {
#define DEFINE_SPARSE_UNARY_GRAD_KERNEL(prefix) \
template <typename T, typename Context> \
void prefix##CooGradKernel(const Context& dev_ctx, \
const SparseCooTensor& x_or_out, \
const SparseCooTensor& dout, \
SparseCooTensor* dx) { \
EmptyLikeCooKernel<T, Context>(dev_ctx, x_or_out, dx); \
phi::prefix##GradKernel<T, Context>(dev_ctx, \
x_or_out.non_zero_elements(), \
dout.non_zero_elements(), \
dx->mutable_non_zero_elements()); \
} \
\
template <typename T, typename Context> \
void prefix##CsrGradKernel(const Context& dev_ctx, \
const SparseCsrTensor& x_or_out, \
const SparseCsrTensor& dout, \
SparseCsrTensor* dx) { \
EmptyLikeCsrKernel<T, Context>(dev_ctx, x_or_out, dx); \
phi::prefix##GradKernel<T, Context>(dev_ctx, \
x_or_out.non_zero_elements(), \
dout.non_zero_elements(), \
dx->mutable_non_zero_elements()); \
}
#define DEFINE_SPARSE_UNARY_GRAD_KERNEL_WITH_ONE_ATTR(prefix, attr) \
template <typename T, typename Context> \
void prefix##CooGradKernel(const Context& dev_ctx, \
const SparseCooTensor& x_or_out, \
const SparseCooTensor& dout, \
float attr, \
SparseCooTensor* dx) { \
EmptyLikeCooKernel<T, Context>(dev_ctx, x_or_out, dx); \
phi::prefix##GradKernel<T, Context>(dev_ctx, \
x_or_out.non_zero_elements(), \
dout.non_zero_elements(), \
attr, \
dx->mutable_non_zero_elements()); \
} \
\
template <typename T, typename Context> \
void prefix##CsrGradKernel(const Context& dev_ctx, \
const SparseCsrTensor& x_or_out, \
const SparseCsrTensor& dout, \
float attr, \
SparseCsrTensor* dx) { \
EmptyLikeCsrKernel<T, Context>(dev_ctx, x_or_out, dx); \
phi::prefix##GradKernel<T, Context>(dev_ctx, \
x_or_out.non_zero_elements(), \
dout.non_zero_elements(), \
attr, \
dx->mutable_non_zero_elements()); \
}
DEFINE_SPARSE_UNARY_GRAD_KERNEL(Sin)
DEFINE_SPARSE_UNARY_GRAD_KERNEL(Tan)
DEFINE_SPARSE_UNARY_GRAD_KERNEL(Asin)
DEFINE_SPARSE_UNARY_GRAD_KERNEL(Atan)
DEFINE_SPARSE_UNARY_GRAD_KERNEL(Sinh)
DEFINE_SPARSE_UNARY_GRAD_KERNEL(Tanh)
DEFINE_SPARSE_UNARY_GRAD_KERNEL(Asinh)
DEFINE_SPARSE_UNARY_GRAD_KERNEL(Atanh)
DEFINE_SPARSE_UNARY_GRAD_KERNEL(Sqrt)
DEFINE_SPARSE_UNARY_GRAD_KERNEL(Square)
DEFINE_SPARSE_UNARY_GRAD_KERNEL(Log1p)
DEFINE_SPARSE_UNARY_GRAD_KERNEL(Relu)
DEFINE_SPARSE_UNARY_GRAD_KERNEL(Abs)
DEFINE_SPARSE_UNARY_GRAD_KERNEL(Expm1)
DEFINE_SPARSE_UNARY_GRAD_KERNEL_WITH_ONE_ATTR(Pow, factor)
DEFINE_SPARSE_UNARY_GRAD_KERNEL_WITH_ONE_ATTR(LeakyRelu, alpha)
DEFINE_SPARSE_UNARY_GRAD_KERNEL_WITH_ONE_ATTR(Relu6, threshold)
template <typename T, typename Context>
void CastCooGradKernel(const Context& dev_ctx,
const SparseCooTensor& x,
const SparseCooTensor& dout,
DataType value_dtype,
SparseCooTensor* dx) {
EmptyLikeCooKernel<T, Context>(dev_ctx, x, dx);
if (value_dtype == DataType::UNDEFINED) {
phi::Copy(dev_ctx,
dout.non_zero_elements(),
dev_ctx.GetPlace(),
false,
dx->mutable_non_zero_elements());
} else {
phi::CastKernel<T, Context>(dev_ctx,
dout.non_zero_elements(),
x.non_zero_elements().dtype(),
dx->mutable_non_zero_elements());
}
}
template <typename T, typename Context>
void CastCsrGradKernel(const Context& dev_ctx,
const SparseCsrTensor& x,
const SparseCsrTensor& dout,
DataType value_dtype,
SparseCsrTensor* dx) {
EmptyLikeCsrKernel<T, Context>(dev_ctx, x, dx);
if (value_dtype == DataType::UNDEFINED) {
phi::Copy(dev_ctx,
dout.non_zero_elements(),
dev_ctx.GetPlace(),
false,
dx->mutable_non_zero_elements());
} else {
phi::CastKernel<T, Context>(dev_ctx,
dout.non_zero_elements(),
x.non_zero_elements().dtype(),
dx->mutable_non_zero_elements());
}
}
} // namespace sparse
} // namespace phi