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paddlepaddle--paddle/paddle/phi/kernels/cpu/cudnn_lstm_kernel.cc
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2026-07-13 12:40:42 +08:00

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// Copyright (c) 2023 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.
#include "paddle/phi/kernels/cudnn_lstm_kernel.h"
#include "paddle/phi/backends/cpu/cpu_context.h"
#include "paddle/phi/core/enforce.h"
#include "paddle/phi/core/kernel_registry.h"
namespace phi {
template <typename T, typename Context>
void CudnnLSTMKernel(
const Context& dev_ctx,
const DenseTensor& x,
const DenseTensor& init_h,
const DenseTensor& init_c,
const optional<DenseTensor>& w,
const optional<std::vector<const DenseTensor*>>& weight_list,
const optional<DenseTensor>& sequence_length,
float dropout_prob,
bool is_bidirec,
int hidden_size,
int num_layers,
bool is_test,
int seed,
DenseTensor* out,
DenseTensor* last_h,
DenseTensor* last_c,
DenseTensor* reserve,
DenseTensor* state_out) {
PADDLE_THROW(common::errors::Unimplemented(
"CPU is not support for cudnn_lstm now. Will be add in the future"));
}
} // namespace phi
PD_REGISTER_KERNEL(cudnn_lstm, CPU, ALL_LAYOUT, phi::CudnnLSTMKernel, float) {}