gru_compute.h 1.9 KB
Newer Older
G
guosheng 已提交
1 2 3 4 5 6 7 8 9 10 11 12 13
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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

Y
Yi Wang 已提交
14 15 16
#include "paddle/fluid/operators/math/detail/activation_functions.h"
#include "paddle/fluid/platform/device_context.h"
#include "paddle/fluid/platform/enforce.h"
G
guosheng 已提交
17 18 19 20 21 22

namespace paddle {
namespace operators {
namespace math {

template <typename T>
23
struct GRUMetaValue {
G
guosheng 已提交
24 25 26 27 28 29
  T *gate_weight;
  T *state_weight;
  T *gate_value;
  T *reset_output_value;
  T *output_value;
  T *prev_out_value;
G
guosheng 已提交
30 31 32
};

template <typename T>
33
struct GRUMetaGrad {
G
guosheng 已提交
34 35 36 37 38 39
  T *gate_weight_grad;
  T *state_weight_grad;
  T *gate_grad;
  T *reset_output_grad;
  T *output_grad;
  T *prev_out_grad;
G
guosheng 已提交
40 41
};

Q
QI JUN 已提交
42
template <typename DeviceContext, typename T>
G
guosheng 已提交
43
struct GRUUnitFunctor {
44
  static void compute(const DeviceContext &context, GRUMetaValue<T> value,
Q
QI JUN 已提交
45
                      int frame_size, int batch_size,
46 47
                      const detail::ActivationType active_node,
                      const detail::ActivationType active_gate);
G
guosheng 已提交
48 49
};

Q
QI JUN 已提交
50
template <typename DeviceContext, typename T>
G
guosheng 已提交
51
struct GRUUnitGradFunctor {
52 53 54 55
  static void compute(const DeviceContext &context, GRUMetaValue<T> value,
                      GRUMetaGrad<T> grad, int frame_size, int batch_size,
                      const detail::ActivationType active_node,
                      const detail::ActivationType active_gate);
G
guosheng 已提交
56 57 58 59 60
};

}  // namespace math
}  // namespace operators
}  // namespace paddle