class ov::pass::SoftmaxFusion

Overview

SoftmaxFusion transformation replaces following graph: More…

#include <softmax_fusion.hpp>

class SoftmaxFusion: public ov::pass::MatcherPass
{
public:
    // methods

    OPENVINO_RTTI("SoftmaxFusion", "0");
};

Inherited Members

public:
    // typedefs

    typedef DiscreteTypeInfo type_info_t;

    // methods

    bool get_property(const PassPropertyMask& prop_mask) const;
    void set_name(const std::string& name);
    std::string get_name() const;
    void set_callback(const param_callback& callback);
    virtual void set_pass_config(const std::shared_ptr<PassConfig>& pass_config);
    std::shared_ptr<PassConfig> get_pass_config();
    bool m_transformation_callback(const std::shared_ptr<const Node>& node);
    bool transformation_callback(const std::shared_ptr<const Node>& node);
    virtual const type_info_t& get_type_info() const = 0;
    OPENVINO_RTTI("ov::pass::MatcherPass");
    MatcherPass& operator = (const MatcherPass&);
    bool apply(std::shared_ptr<ov::Node> node);

    template <typename T, class... Args>
    std::shared_ptr<T> register_new_node(Args&&... args);

    template <typename T>
    std::shared_ptr<T> register_new_node(const std::shared_ptr<T>& node);

    std::shared_ptr<ov::Node> register_new_node_(const std::shared_ptr<ov::Node>& node);
    const std::vector<std::shared_ptr<ov::Node>>& get_new_nodes();
    void clear_new_nodes();
    std::shared_ptr<pattern::Matcher> get_matcher();

Detailed Documentation

SoftmaxFusion transformation replaces following graph:

+---------------+
               
     input     
               
+---------------+
          
          v
     +-----------+
                
      ReduceMax 
                
     +-----------+
          
          
    v      v
+---------------+
               
      Sub      
               
+---------------+
        |
        |
        v
+---------------+
               
      Exp      
               
+---------------+
          
          v
     +-----------+
                
      ReduceSum 
                
     +-----------+
          
          
    v      v
 +-------------+
 |             
 |     Div     
              
 +-------------+

to a single Softmax node

  • Restrictions:

    • ReduceMax and ReduceSum axes must be scalar constants and they have to point to the same axis