assign_kernel.h

// 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"

namespace phi {

template <typename Context>
void AssignRawKernel(const Context& dev_ctx,
                     const DenseTensor& x,
                     DenseTensor* 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 AssignKernel(const Context& dev_ctx,
                  paddle::optional<const DenseTensor&> x,
                  DenseTensor* out);

template <typename Context>
void AssignArrayKernel(const Context& dev_ctx,
                       const std::vector<const DenseTensor*>& x,
                       std::vector<DenseTensor*> 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