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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/selected_rows.h"
namespace phi {
template <typename T, typename Context>
void RpropKernel(const Context& dev_ctx,
const DenseTensor& param,
const DenseTensor& grad,
const DenseTensor& prev,
const DenseTensor& learning_rate,
const optional<DenseTensor>& master_param,
const DenseTensor& learning_rate_range,
const DenseTensor& etas,
bool multi_precision,
DenseTensor* param_out,
DenseTensor* prev_out,
DenseTensor* learning_rate_out,
DenseTensor* master_param_out);
} // namespace phi