// 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/selected_rows.h"

namespace phi {

template <typename T, typename Context>
void SGDKernel(const Context& dev_ctx,
               const DenseTensor& param,
               const DenseTensor& learning_rate,
               const DenseTensor& grad,
               const DenseTensor& master_param,
               bool multi_precision,
               DenseTensor* param_out,
               DenseTensor* master_param_out);

template <typename T, typename Context>
void SGDKernel(const Context& dev_ctx,
               const DenseTensor& param,
               const DenseTensor& learning_rate,
               const SelectedRows& grad,
               const DenseTensor& master_param,
               bool multi_precision,
               DenseTensor* param_out,
               DenseTensor* master_param_out);

template <typename T, typename Context>
void SGDKernel(const Context& dev_ctx,
               const SelectedRows& param,
               const DenseTensor& learning_rate,
               const SelectedRows& grad,
               const SelectedRows& master_param,
               bool multi_precision,
               SelectedRows* param_out,
               SelectedRows* master_param_out);

}  // namespace phi