// 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"

namespace phi {

template <typename T, typename Context>
void AdamDenseKernel(const Context& dev_ctx,
                     const DenseTensor& param,
                     const DenseTensor& grad,
                     const DenseTensor& learning_rate,
                     const DenseTensor& moment1,
                     const DenseTensor& moment2,
                     const DenseTensor& beta1_pow,
                     const DenseTensor& beta2_pow,
                     const paddle::optional<DenseTensor>& master_param,
                     const paddle::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,
                     DenseTensor* param_out,
                     DenseTensor* moment1_out,
                     DenseTensor* moment2_out,
                     DenseTensor* beta1_pow_out,
                     DenseTensor* beta2_pow_out,
                     DenseTensor* master_param_outs);

template <typename T, typename Context>
void MergedAdamKernel(
    const Context& dev_ctx,
    const std::vector<const DenseTensor*>& param,
    const std::vector<const DenseTensor*>& grad,
    const std::vector<const DenseTensor*>& learning_rate,
    const std::vector<const DenseTensor*>& moment1,
    const std::vector<const DenseTensor*>& moment2,
    const std::vector<const DenseTensor*>& beta1_pow,
    const std::vector<const DenseTensor*>& beta2_pow,
    const paddle::optional<std::vector<const DenseTensor*>>& master_param,
    const Scalar& beta1,
    const Scalar& beta2,
    const Scalar& epsilon,
    bool multi_precision,
    bool use_global_beta_pow,
    std::vector<DenseTensor*> param_out,
    std::vector<DenseTensor*> moment1_out,
    std::vector<DenseTensor*> moment2_out,
    std::vector<DenseTensor*> beta1_pow_out,
    std::vector<DenseTensor*> beta2_pow_out,
    std::vector<DenseTensor*> master_param_out);

}  // namespace phi