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  • caffe中的Blob块

    首先说明:Blob定义了一个类模板。

    让我们看一下Blob的头文件里有什么哈:

    定义了一个全局变量:

    const int kMaxBlobAxes = 32;

    看看它的构造函数:

    Blob() : data_(), diff_(), count_(0), capacity_(0) {};
    explicit Blob(const int num, const int channels, const int height,const int width);
    explicit Blob(const vector<int>& shape);

    Reshape函数:

    void Reshape(const int num, const int channels, const int height, const int width);
    void Reshape(const vector
    <int>& shape);
    void Reshape(const BlobShape
    & shape);

    void ReshapeLike(const Blob& other);

    内联函数shape_string:作用就是把shape的数据变为字符输出,里面用到了ostringstream流;

    inline string shape_string() const {                                                                                                         
        ostringstream stream;
        for (int i = 0; i < shape_.size(); ++i) {
          stream << shape_[i] << " ";
        }
        stream << "(" << count_ << ")";
        return stream.str();
      }

    内联函数shape():

    //作用:返回shape_的引用;
    inline const vector<int>& shape() const { return shape_; }
    //作用:输入第几维度,返回该维度的大小;
    inline int shape(int index) const {
        return shape_[CanonicalAxisIndex(index)];
     
     
    //内联函数:num_axes(),作用:返回是多少维度的块;
    inline int num_axes() const { return shape_.size(); }
    
    //内联函数:count():
    inline int count() const { return count_; }   //返回一共多少数据啊,;
    inline int count(int start_axis, int end_axis) const //返回输入的索引之间的大小;
    inline int count(int start_axis) const  //太麻烦了,不写了,自己看代码吧;

    canonicalAxisIndex的作用就是:把正的索引不变,负的改为正的,另外,还是检查一下它们的范围啦;

    CanonicalAxisIndex(int axis_index) const

    offset函数就是计算一下索引的偏移值,因为吧,多维数组在内存里也是按一维 存放的:

    inline int offset(const int n, const int c = 0, const int h = 0, const int w = 0) const {
    ……
    return ((n * channels() + c) * height() + h) * width() + w;
    }
    // 用向量的方式把坐标值传入:
    inline int offset(const vector<int>& indices) const

    函数copyfrom,作用把数据从Blob块中复制到内存中

    void CopyFrom(const Blob<Dtype>& source, bool copy_diff = false, bool reshape = false);

    查看数据的函数:

    inline Dtype data_at(const int n, const int c, const int h, const int w) const
    inline Dtype diff_at(const int n, const int c, const int h, const int w) const
     inline Dtype data_at(const vector<int>& index) const
    inline Dtype diff_at(const vector<int>& index) const

    获得data_与diff_的函数:

    inline const shared_ptr<SyncedMemory>& data() const {
        CHECK(data_);
        return data_;
      }
    
    inline const shared_ptr<SyncedMemory>& diff() const {
        CHECK(diff_);
        return diff_;                                                                                                                              
      }

    另外还有好几个函数,尼玛,有点多哎

    const Dtype* cpu_data() const;
      void set_cpu_data(Dtype* data);
      const int* gpu_shape() const;
      const Dtype* gpu_data() const;
      const Dtype* cpu_diff() const;
      const Dtype* gpu_diff() const;
      Dtype* mutable_cpu_data();
      Dtype* mutable_gpu_data();
      Dtype* mutable_cpu_diff();
      Dtype* mutable_gpu_diff();                                                                                                                   
      void Update();
      void FromProto(const BlobProto& proto, bool reshape = true);
      void ToProto(BlobProto* proto, bool write_diff = false) const;
    
      /// @brief Compute the sum of absolute values (L1 norm) of the data.
      Dtype asum_data() const;
      /// @brief Compute the sum of absolute values (L1 norm) of the diff.
      Dtype asum_diff() const;
      /// @brief Compute the sum of squares (L2 norm squared) of the data.
      Dtype sumsq_data() const;
      /// @brief Compute the sum of squares (L2 norm squared) of the diff.
      Dtype sumsq_diff() const;
    /// @brief Scale the blob data by a constant factor.
      void scale_data(Dtype scale_factor);
      /// @brief Scale the blob diff by a constant factor.
      void scale_diff(Dtype scale_factor);

    还有:

    /**
       * @brief Set the data_ shared_ptr to point to the SyncedMemory holding the
       *        data_ of Blob other -- useful in Layer%s which simply perform a copy
       *        in their Forward pass.
       *
       * This deallocates the SyncedMemory holding this Blob's data_, as
       * shared_ptr calls its destructor when reset with the "=" operator.
       */
      void ShareData(const Blob& other);
      /**
       * @brief Set the diff_ shared_ptr to point to the SyncedMemory holding the
       *        diff_ of Blob other -- useful in Layer%s which simply perform a copy
       *        in their Forward pass.
       *
       * This deallocates the SyncedMemory holding this Blob's diff_, as
       * shared_ptr calls its destructor when reset with the "=" operator.
       */
      void ShareDiff(const Blob& other);
    
      bool ShapeEquals(const BlobProto& other);

    下面是定义的变量:

    shared_ptr<SyncedMemory> data_;
      shared_ptr<SyncedMemory> diff_;
      shared_ptr<SyncedMemory> shape_data_;
      vector<int> shape_;
      int count_;
      int capacity_;
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  • 原文地址:https://www.cnblogs.com/yinheyi/p/5943459.html
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