/
unary_kernel.h
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/
unary_kernel.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/dense_tensor.h"
#include "paddle/phi/core/sparse_coo_tensor.h"
#include "paddle/phi/core/sparse_csr_tensor.h"
#include "paddle/phi/kernels/activation_kernel.h"
#include "paddle/phi/kernels/empty_kernel.h"
#define DECLARE_SPARSE_UNARY_KERNEL(name) \
template <typename T, typename Context> \
void SparseCoo##name##Kernel( \
const Context& dev_ctx, const SparseCooTensor& x, SparseCooTensor* out); \
\
template <typename T, typename Context> \
void SparseCsr##name##Kernel( \
const Context& dev_ctx, const SparseCsrTensor& x, SparseCsrTensor* out);
namespace phi {
namespace sparse {
DECLARE_SPARSE_UNARY_KERNEL(Relu)
DECLARE_SPARSE_UNARY_KERNEL(Sqrt)
DECLARE_SPARSE_UNARY_KERNEL(Sin)
template <typename T, typename Context>
SparseCooTensor SparseRelu(const Context& dev_ctx, const SparseCooTensor& x) {
DenseTensor indices, values;
SparseCooTensor coo(indices, values, x.dims());
SparseCooReluKernel<T, Context>(dev_ctx, x, &coo);
return coo;
}
} // namespace sparse
} // namespace phi