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2026-07-13 12:40:42 +08:00

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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/utils/optional.h"
namespace phi {
template <typename T, typename Context>
void RnnGradKernel(const Context& dev_ctx,
const DenseTensor& x,
const std::vector<const DenseTensor*>& pre_state,
const std::vector<const DenseTensor*>& weight_list,
const optional<DenseTensor>& sequence_length,
const DenseTensor& out,
const DenseTensor& dropout_state,
const DenseTensor& reserve,
const DenseTensor& out_grad,
const std::vector<const DenseTensor*>& state_grad,
float dropout_prob,
bool is_bidirec,
int input_size,
int hidden_size,
int num_layers,
const std::string& mode,
int seed,
bool is_test,
DenseTensor* x_grad,
std::vector<DenseTensor*> pre_state_grad,
std::vector<DenseTensor*> weight_grad_list);
} // namespace phi