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91 lines
2.5 KiB
91 lines
2.5 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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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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#pragma once
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#include "paddle/platform/device_context.h"
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#include "paddle/platform/enforce.h"
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namespace paddle {
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namespace operators {
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namespace math {
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typedef enum {
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HL_ACTIVATION_SIGMOID = 0,
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HL_ACTIVATION_RELU = 1,
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HL_ACTIVATION_TANH = 2,
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HL_ACTIVATION_LINEAR = 3,
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HL_ACTIVATION_END
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} activation_mode_t;
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template <class T>
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struct LstmMetaValue {
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T *gate_value;
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T *prev_state_value;
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T *state_value;
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T *state_active_value;
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T *output_value;
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T *check_ig;
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T *check_fg;
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T *check_og;
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};
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template <class T>
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struct LstmMetaGrad {
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T *gate_grad;
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T *prev_state_grad;
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T *state_grad;
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T *state_active_grad;
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T *output_grad;
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T *check_ig_grad;
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T *check_fg_grad;
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T *check_og_grad;
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};
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inline activation_mode_t ActiveType(const std::string &type) {
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if (type == "sigmoid") {
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return HL_ACTIVATION_SIGMOID;
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} else if (type == "relu") {
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return HL_ACTIVATION_RELU;
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} else if (type == "tanh") {
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return HL_ACTIVATION_TANH;
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} else if (type == "linear" || type == "identity" || type == "") {
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return HL_ACTIVATION_LINEAR;
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} else {
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PADDLE_THROW("Do not support activation type.");
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}
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}
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template <typename DeviceContext, typename T>
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class LstmUnitFunctor {
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public:
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static void compute(const DeviceContext &context, LstmMetaValue<T> value,
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int frame_size, int batch_size,
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const std::string &gate_act, const std::string &cell_act,
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const std::string &cand_act);
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};
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template <typename DeviceContext, typename T>
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class LstmUnitGradFunctor {
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public:
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static void compute(const DeviceContext &context, LstmMetaValue<T> value,
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LstmMetaGrad<T> grad, int frame_size, int batch_size,
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const std::string &gate_act, const std::string &cell_act,
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const std::string &cand_act);
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};
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} // namespace math
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} // namespace operators
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} // namespace paddle
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