linear_chain_crf_op.h 2.0 KB
Newer Older
C
caoying03 已提交
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21
/* 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
#include "paddle/framework/eigen.h"
#include "paddle/framework/op_registry.h"

namespace paddle {
namespace operators {

22
using framework::Tensor;
C
caoying03 已提交
23 24 25 26
template <typename T, int MajorType = Eigen::RowMajor,
          typename IndexType = Eigen::DenseIndex>
using EigenMatrix = framework::EigenMatrix<T, MajorType, IndexType>;

27
template <typename Place, typename T>
C
caoying03 已提交
28
class LinearChainCrfOpKernel : public framework::OpKernel<T> {
C
caoying03 已提交
29
 public:
30 31 32
  void Compute(const framework::ExecutionContext& ctx) const override;

 protected:
C
caoying03 已提交
33 34 35 36
  T ForwardOneSequence(const Tensor* emission, const Tensor* emission_row_max,
                       const Tensor* emission_exps, const Tensor* trans_weights,
                       const Tensor* trans_weight_exps, const Tensor* label,
                       Tensor* alpha) const;
C
caoying03 已提交
37 38
};

39
template <typename Place, typename T>
C
caoying03 已提交
40
class LinearChainCrfGradOpKernel : public framework::OpKernel<T> {
C
caoying03 已提交
41
 public:
42
  void Compute(const framework::ExecutionContext& ctx) const override;
C
caoying03 已提交
43 44

 protected:
C
caoying03 已提交
45
  void BackwardOneSequence(const platform::DeviceContext& ctx, const T ll_grad,
C
caoying03 已提交
46 47 48 49 50
                           const Tensor* emission_exps,
                           const Tensor* transition_exps, const Tensor* alpha,
                           const Tensor* label, Tensor* beta,
                           Tensor* transition_grad,
                           Tensor* emission_grad) const;
C
caoying03 已提交
51 52 53 54
};

}  // namespace operators
}  // namespace paddle