wehub-resource-sync
104 lines
3.8 KiB
C++
104 lines
3.8 KiB
C++
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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#include "paddle/phi/kernels/funcs/lstm_compute.h"
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#include "paddle/phi/backends/cpu/cpu_context.h"
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#include "paddle/phi/kernels/funcs/detail/lstm_cpu_kernel.h"
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#include "paddle/phi/kernels/funcs/detail/lstm_kernel.h"
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namespace phi::funcs {
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template <class T>
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struct LstmUnitFunctor<CPUContext, T> {
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static void compute(const CPUContext& dev_ctx,
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LstmMetaValue<T> value,
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int frame_size,
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int batch_size,
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T cell_clip,
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const funcs::detail::ActivationType& gate_act,
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const funcs::detail::ActivationType& cell_act,
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const funcs::detail::ActivationType& cand_act,
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bool old_api_version = true) {
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for (int b = 0; b < batch_size; b++) {
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detail::cpu_lstm_forward(dev_ctx,
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funcs::detail::forward::lstm<T>(),
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value,
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frame_size,
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cell_clip,
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cand_act,
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gate_act,
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cell_act,
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old_api_version);
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value.gate_value += frame_size * 4;
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value.state_value += frame_size;
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value.state_active_value += frame_size;
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value.output_value += frame_size;
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if (value.prev_state_value) {
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value.prev_state_value += frame_size;
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}
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}
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}
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};
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template <class T>
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struct LstmUnitGradFunctor<CPUContext, T> {
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static void compute(const CPUContext& dev_ctx,
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LstmMetaValue<T> value,
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LstmMetaGrad<T> grad,
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int frame_size,
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int batch_size,
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T cell_clip,
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const funcs::detail::ActivationType& gate_act,
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const funcs::detail::ActivationType& cell_act,
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const funcs::detail::ActivationType& cand_act,
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bool old_api_version = true) {
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for (int b = 0; b < batch_size; b++) {
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detail::cpu_lstm_backward(dev_ctx,
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funcs::detail::backward::lstm<T>(),
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value,
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grad,
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frame_size,
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cell_clip,
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cand_act,
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gate_act,
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cell_act,
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old_api_version);
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value.gate_value += frame_size * 4;
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value.state_value += frame_size;
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value.state_active_value += frame_size;
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value.output_value += frame_size;
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if (value.prev_state_value) {
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value.prev_state_value += frame_size;
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}
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grad.gate_grad += frame_size * 4;
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grad.state_grad += frame_size;
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grad.state_active_grad += frame_size;
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grad.output_grad += frame_size;
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if (grad.prev_state_grad) {
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grad.prev_state_grad += frame_size;
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}
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}
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}
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};
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template class LstmUnitFunctor<CPUContext, float>;
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template class LstmUnitFunctor<CPUContext, double>;
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template class LstmUnitGradFunctor<CPUContext, float>;
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template class LstmUnitGradFunctor<CPUContext, double>;
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} // namespace phi::funcs
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