wehub-resource-sync
53 lines
1.7 KiB
C++
53 lines
1.7 KiB
C++
// Copyright (c) 2023 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/common/int_array.h"
|
|
#include "paddle/phi/core/dense_tensor.h"
|
|
#include "paddle/phi/infermeta/unary.h"
|
|
|
|
namespace phi {
|
|
template <typename T, typename Context>
|
|
void SumRawKernel(const Context& dev_ctx,
|
|
const DenseTensor& x,
|
|
const IntArray& dims,
|
|
bool keep_dim,
|
|
bool reduce_all,
|
|
DataType out_dtype,
|
|
DenseTensor* out);
|
|
|
|
template <typename T, typename Context>
|
|
void SumKernel(const Context& dev_ctx,
|
|
const DenseTensor& x,
|
|
const IntArray& dims,
|
|
DataType out_dtype,
|
|
bool keep_dim,
|
|
DenseTensor* out);
|
|
|
|
template <typename T, typename Context>
|
|
DenseTensor Sum(const Context& dev_ctx,
|
|
const DenseTensor& x,
|
|
const IntArray& axis,
|
|
DataType dtype,
|
|
bool keep_dim) {
|
|
DenseTensor dense_out;
|
|
MetaTensor meta_out(&dense_out);
|
|
SumInferMeta(x, axis, dtype, keep_dim, &meta_out);
|
|
SumKernel<T, Context>(dev_ctx, x, axis, dtype, keep_dim, &dense_out);
|
|
return dense_out;
|
|
}
|
|
|
|
} // namespace phi
|