46 lines
1.8 KiB
C++
46 lines
1.8 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#pragma once
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#include "paddle/phi/core/dense_tensor.h"
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#include "paddle/utils/optional.h"
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namespace phi {
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template <typename T, typename Context>
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void RnnGradKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const std::vector<const DenseTensor*>& pre_state,
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const std::vector<const DenseTensor*>& weight_list,
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const optional<DenseTensor>& sequence_length,
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const DenseTensor& out,
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const DenseTensor& dropout_state,
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const DenseTensor& reserve,
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const DenseTensor& out_grad,
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const std::vector<const DenseTensor*>& state_grad,
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float dropout_prob,
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bool is_bidirec,
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int input_size,
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int hidden_size,
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int num_layers,
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const std::string& mode,
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int seed,
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bool is_test,
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DenseTensor* x_grad,
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std::vector<DenseTensor*> pre_state_grad,
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std::vector<DenseTensor*> weight_grad_list);
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} // namespace phi
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