wehub-resource-sync
74 lines
2.3 KiB
C++
74 lines
2.3 KiB
C++
// 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 <vector>
|
|
|
|
#include "paddle/phi/common/scalar.h"
|
|
#include "paddle/phi/core/dense_tensor.h"
|
|
#include "paddle/phi/core/tensor_array.h"
|
|
#include "paddle/phi/infermeta/unary.h"
|
|
|
|
namespace phi {
|
|
|
|
template <typename Context>
|
|
void AssignKernel(const Context& dev_ctx,
|
|
const DenseTensor& x,
|
|
DenseTensor* out);
|
|
|
|
template <typename Context>
|
|
DenseTensor Assign(const Context& dev_ctx, const DenseTensor& x) {
|
|
DenseTensor out;
|
|
MetaTensor meta_out(&out);
|
|
MetaTensor meta_x(x);
|
|
UnchangedInferMeta(meta_x, &meta_out);
|
|
if (x.initialized()) {
|
|
AssignKernel<Context>(dev_ctx, x, &out);
|
|
}
|
|
return out;
|
|
}
|
|
|
|
template <typename Context>
|
|
void Assign(const Context& dev_ctx, const DenseTensor& x, DenseTensor* out) {
|
|
MetaTensor meta_out(out);
|
|
MetaTensor meta_x(x);
|
|
UnchangedInferMeta(meta_x, &meta_out);
|
|
if (x.initialized()) {
|
|
AssignKernel<Context>(dev_ctx, x, out);
|
|
}
|
|
}
|
|
|
|
// In order to be compatible with the `AsDispensable` input in the original
|
|
// assign op maker, the input parameter here needs to be dispensable, but
|
|
// this looks weird
|
|
template <typename Context>
|
|
void AssignRawKernel(const Context& dev_ctx,
|
|
const optional<DenseTensor>& x,
|
|
DenseTensor* out);
|
|
|
|
template <typename Context>
|
|
void AssignArrayKernel(const Context& dev_ctx,
|
|
const TensorArray& x,
|
|
TensorArray* out);
|
|
|
|
template <typename T, typename Context>
|
|
void AssignValueKernel(const Context& dev_ctx,
|
|
const std::vector<int>& shape,
|
|
DataType dtype,
|
|
const std::vector<Scalar>& values,
|
|
DenseTensor* out);
|
|
|
|
} // namespace phi
|