class ngraph::pass::ConvertPadToGroupConvolution¶
Overview¶
ConvertPadToGroupConvolution transformation replaces Pad operation with GroupConvolution but has some restrictions on Pad parameters: More…
#include <convert_pad_to_group_conv.hpp>
class ConvertPadToGroupConvolution: public ngraph::pass::MatcherPass
{
};
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;
MatcherPass& operator = (const MatcherPass&);
bool apply(std::shared_ptr<ngraph::Node> node);
template <typename T, class... Args>
std::shared_ptr<T> register_new_node(Args&&... args);
const std::vector<std::shared_ptr<ngraph::Node>>& get_new_nodes();
void clear_new_nodes();
std::shared_ptr<pattern::Matcher> get_matcher();
Detailed Documentation¶
ConvertPadToGroupConvolution transformation replaces Pad operation with GroupConvolution but has some restrictions on Pad parameters:
PadMode must be Constant and value is equal to 0
Padding must be applied only for spatial dimensions
Input shape rank must be static and greater than 3