tensor.h 4.7 KB
Newer Older
Y
Yi Wang 已提交
1 2 3 4 5 6 7 8 9 10 11 12 13 14
/* 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. */

Y
Yi Wang 已提交
15 16
#pragma once

F
fengjiayi 已提交
17 18 19 20
#include <memory>
#include <type_traits>
#include "paddle/framework/ddim.h"
#include "paddle/framework/enforce.h"
Q
init  
qijun 已提交
21
#include "paddle/framework/tensor_types.h"
F
fengjiayi 已提交
22 23
#include "paddle/memory/memory.h"
#include "paddle/platform/place.h"
Q
init  
qijun 已提交
24
#include "unsupported/Eigen/CXX11/Tensor"
F
fengjiayi 已提交
25

Y
Yi Wang 已提交
26 27 28 29 30 31 32
namespace paddle {
namespace framework {

class Tensor {
 public:
  template <typename T>
  const T* data() const {
F
fengjiayi 已提交
33
    PADDLE_ENFORCE(holder_ != nullptr,
F
fengjiayi 已提交
34
                   "Tensor::data must be called after Tensor::mutable_data.");
F
fengjiayi 已提交
35
    return static_cast<const T*>(holder_->Ptr());
Y
Yi Wang 已提交
36 37
  }

Q
init  
qijun 已提交
38 39 40 41 42 43 44
  template <typename T>
  T* data() const {
    PADDLE_ENFORCE(holder_ != nullptr,
                   "Tensor::data must be called after Tensor::mutable_data.");
    return static_cast<T*>(holder_->Ptr());
  }

Y
Yi Wang 已提交
45
  template <typename T,  // must be POD types
F
fengjiayi 已提交
46 47
            typename std::enable_if<std::is_pod<T>::value>::type* = nullptr>
  T* mutable_data(DDim dims, paddle::platform::Place place) {
F
fengjiayi 已提交
48 49 50 51
    if (holder_ == nullptr ||
        !(holder_->Place() ==
          place) /* some versions of boost::variant don't have operator!= */
        || holder_->Size() < product(dims) * sizeof(T)) {
F
fengjiayi 已提交
52
      holder_.reset(new PlaceholderImpl<T>(place, product(dims) * sizeof(T)));
Q
init  
qijun 已提交
53
      dims_ = dims;
Y
Yi Wang 已提交
54 55 56 57
    }
    return static_cast<T*>(holder_->Ptr());
  }

Q
init  
qijun 已提交
58 59
  DDim dim() const { return dims_; }

Q
qijun 已提交
60 61 62 63 64 65 66 67 68
  size_t NumElements() const { return product(dims_); }

  template <typename T, size_t NDIMS>
  typename TTypes<T, NDIMS>::Tensor Tensor::shaped(DDim new_dims) {
    Eigen::array<Eigen::DenseIndex, NDIMS> dims =
        paddle::framework::ToEigenDSizes(new_dims);
    return typename TTypes<T, NDIMS>::Tensor(data<T>(), dims);
  }

Q
init  
qijun 已提交
69
  template <typename T, size_t NDIMS>
Q
qijun 已提交
70
  typename TTypes<T, NDIMS>::Tensor Tensor::tensor() {
Q
init  
qijun 已提交
71 72 73 74
    return typename TTypes<T, NDIMS>::Tensor(
        data<T>(), paddle::framework::ToEigenDSizes<NDIMS>(dims_));
  }

Q
qijun 已提交
75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93
  // flat to rank = 1
  template <typename T>
  typename TTypes<T>::Flat flat() {
    return shaped<T, 1>({NumElements()});
  }

  // to TensorType Vec
  template <typename T>
  typename TTypes<T>::Vec vec() {
    return tensor<T, 1>();
  }

  // to TensorType Matrix
  template <typename T>
  typename TTypes<T>::Matrix matrix() {
    return tensor<T, 2>();
  }

  // const versions of all the methods above.
Q
init  
qijun 已提交
94
  template <typename T, size_t NDIMS>
Q
qijun 已提交
95
  typename TTypes<T, NDIMS>::ConstantTensor Tensor::tensor() const {
Q
init  
qijun 已提交
96 97
    return typename TTypes<T, NDIMS>::Tensor(
        data<T>(), paddle::framework::ToEigenDSizes<NDIMS>(dims_));
Y
Yi Wang 已提交
98 99
  }

Q
qijun 已提交
100 101 102 103 104 105 106 107 108 109 110 111 112 113 114
  template <typename T>
  typename TTypes<T>::ConstFlat flat() const {
    return shaped<T, 1>({NumElements()});
  }

  template <typename T>
  typename TTypes<T>::ConstVec vec() const {
    return tensor<T, 1>();
  }

  template <typename T>
  typename TTypes<T>::ConstMatrix matrix() const {
    return tensor<T, 2>();
  }

Y
Yi Wang 已提交
115 116 117 118 119 120
 private:
  // Placeholder hides type T, so it doesn't appear as a template
  // parameter of Variable.
  struct Placeholder {
    virtual ~Placeholder() {}
    virtual void* Ptr() const = 0;
F
fengjiayi 已提交
121
    virtual paddle::platform::Place Place() const = 0;
Y
Yi Wang 已提交
122 123 124 125 126
    virtual size_t Size() const = 0;
  };

  template <typename T>
  struct PlaceholderImpl : public Placeholder {
127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143
   private:
    class Deleter {
     public:
      Deleter(platform::Place place) : place_(place) {}
      void operator()(T* ptr) {
        paddle::memory::Free(place_, static_cast<void*>(ptr));
      }

     private:
      paddle::platform::Place place_;
    };

   public:
    PlaceholderImpl(paddle::platform::Place place, size_t size)
        : ptr_(static_cast<T*>(paddle::memory::Alloc(place, size)),
               Deleter(place)),
          place_(place),
Y
Yi Wang 已提交
144 145 146 147
          size_(size) {}

    virtual void* Ptr() const { return static_cast<void*>(ptr_.get()); }
    virtual size_t Size() const { return size_; }
F
fengjiayi 已提交
148
    virtual paddle::platform::Place Place() const { return place_; }
Y
Yi Wang 已提交
149

150
    std::unique_ptr<T, Deleter> ptr_;
F
fengjiayi 已提交
151 152
    paddle::platform::Place place_;  // record the place of ptr_.
    size_t size_;                    // size of the memory block.
Y
Yi Wang 已提交
153 154
  };

155
  std::shared_ptr<Placeholder> holder_;  // holds the memory block if allocated.
Q
init  
qijun 已提交
156
  DDim dims_;
Y
Yi Wang 已提交
157 158 159 160
};

}  // namespace framework
}  // namespace paddle