class ngraph::pass::low_precision::PullTransposeThroughDequantization

Overview

PullTransposeThroughDequantization propagates dequantization operations through Transpose operations. The transformation is used on constant subgraph weights to prepare a model for the next low precision transformations. More…

#include <pull_transpose_through_dequantization.hpp>

class PullTransposeThroughDequantization: public ov::pass::MatcherPass
{
public:
    // construction

    PullTransposeThroughDequantization();

    // methods

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

Inherited Members

public:
    // typedefs

    typedef DiscreteTypeInfo type_info_t;

    // methods

    boolconst PassPropertyMask& get_property() const;
    voidconst std::string& set_name();
    std::string get_name() const;
    voidconst param_callback& set_callback();
    virtual voidconst std::shared_ptr<PassConfig>& set_pass_config();
    std::shared_ptr<PassConfig> get_pass_config();
    boolconst std::shared_ptr<const Node>& transformation_callback();
    virtual const type_info_t& get_type_info() const = 0;
    "ov::pass::MatcherPass" OPENVINO_RTTI();
    MatcherPass&const MatcherPass& operator = ();
    boolstd::shared_ptr<ov::Node> apply();

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

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

    std::shared_ptr<ov::Node>const std::shared_ptr<ov::Node>& register_new_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

PullTransposeThroughDequantization propagates dequantization operations through Transpose operations. The transformation is used on constant subgraph weights to prepare a model for the next low precision transformations.

For more details about the transformation, refer to PullTransposeThroughDequantization page in the Inference Engine Developer Guide.