class ngraph::pass::low_precision::ConvolutionBackpropDataTransformation¶
Overview¶
ConvolutionBackpropDataTransformation propagates dequantization operations through ConvolutionBackpropData operation. More…
#include <convolution_backprop_data.hpp>
class ConvolutionBackpropDataTransformation: public ngraph::pass::low_precision::WeightableLayerTransformation
{
public:
// construction
ConvolutionBackpropDataTransformation();
// methods
virtual boolTransformationContext&ov::pass::pattern::Matcher& transform(, );
virtual boolconst TransformationContext&std::shared_ptr<Node> canBeTransformed(
,
) const;
virtual boolconst std::shared_ptr<const Node>&const std::vector<ngraph::element::Type>& isQuantized(
,
) const;
static boolconst std::shared_ptr<const Node>&const std::vector<ngraph::element::Type>& isQuantizedStatic(
,
);
};
Inherited Members¶
public:
// typedefs
typedef DiscreteTypeInfo type_info_t;
// classes
class Params;
class PrecisionDetails;
// 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();
virtual boolTransformationContext&ov::pass::pattern::Matcher& transform(, ) = 0;
voidTransformationContext \* setContext();
voidconst bool setUpdatePrecisions();
voidconst std::vector<ngraph::element::Type>& setDefaultPrecisions();
virtual boolconst TransformationContext&std::shared_ptr<Node> canBeTransformed(
,
) const;
boolconst std::shared_ptr<Node>&const FakeQuantizeDequantization& canSubtractBeHandled(
,
) const;
virtual boolconst std::shared_ptr<const Node>&const std::vector<ngraph::element::Type>& isQuantized(
,
) const;
virtual boolstd::shared_ptr<Node> isPrecisionPreserved() const = 0;
static boolconst std::shared_ptr<Node>&const std::vector<ngraph::element::Type>& canBeTransformedStatic(
,
);
static PrecisionDetailsconst size_tconst std::vector<float>&const std::vector<float>& getPrecisionDetails(
,
,
);
static PrecisionDetailsconst QuantizationDetails& getPrecisionDetails();
static boolconst std::shared_ptr<const Node>&const std::vector<ngraph::element::Type>& isAsymmetricQuantization(
,
);
static DataPrecisionconst std::shared_ptr<Node>&const QuantizationDetails&const std::vector<element::Type>& getDataPrecision(
,
,
);
virtual boolconst TransformationContext&std::shared_ptr<Node> canBeTransformed(
,
) const;
boolconst TransformationContext&std::shared_ptr<Node>const std::vector<ngraph::element::Type>& canConvolutionBeTransformed(
,
,
) const;
virtual boolstd::shared_ptr<Node> isPrecisionPreserved() const;
static boolconst std::shared_ptr<const ngraph::Node>&const std::vector<ngraph::element::Type>& checkPrecisionOnActivation(
,
);
static boolconst std::shared_ptr<const Node>&const boolconst std::vector<ngraph::element::Type>& isQuantizedStatic(
,
,
);
static std::shared_ptr<ov::opset1::FakeQuantize>const std::shared_ptr<Node>& getFakeQuantizeOnWeights();
static DataPrecisionconst std::shared_ptr<Node>&const std::vector<ngraph::element::Type>& getDataPrecisionOnWeights(
,
);
static boolconst std::shared_ptr<const Node>&const std::vector<ngraph::element::Type>& isAsymmetricOnWeights(
,
);
Detailed Documentation¶
ConvolutionBackpropDataTransformation propagates dequantization operations through ConvolutionBackpropData operation.
For more details about the transformation, refer to ConvolutionBackpropDataTransformation page in the Inference Engine Developer Guide.