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paddlepaddle--paddle/paddle/phi/kernels/selected_rows/adam_kernel.h
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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/common/scalar.h"
#include "paddle/phi/core/dense_tensor.h"
#include "paddle/phi/core/selected_rows.h"
namespace phi {
namespace sr {
template <typename T, typename Context>
void AdamDenseParamSparseGradKernel(const Context& dev_ctx,
const DenseTensor& param,
const SelectedRows& grad,
const DenseTensor& learning_rate,
const DenseTensor& moment1,
const DenseTensor& moment2,
const optional<DenseTensor>& moment2_max,
const DenseTensor& beta1_pow,
const DenseTensor& beta2_pow,
const optional<DenseTensor>& master_param,
const optional<DenseTensor>& skip_update,
const Scalar& beta1,
const Scalar& beta2,
const Scalar& epsilon,
bool lazy_mode,
int64_t min_row_size_to_use_multithread,
bool multi_precision,
bool use_global_beta_pow,
bool amsgrad,
DenseTensor* param_out,
DenseTensor* moment1_out,
DenseTensor* moment2_out,
DenseTensor* moment2_max_out,
DenseTensor* beta1_pow_out,
DenseTensor* beta2_pow_out,
DenseTensor* master_param_outs);
} // namespace sr
} // namespace phi