class ngraph::op::v1::DeformableConvolution¶
Overview¶
DeformableConvolution operation. More…
#include <deformable_convolution.hpp>
class DeformableConvolution: public ngraph::op::Op
{
public:
// fields
static constexpr NodeTypeInfo type_info {"DeformableConvolution", 1};
// construction
DeformableConvolution();
DeformableConvolution(
const Output<Node>& arg,
const Output<Node>& offsets,
const Output<Node>& filters,
const Strides& strides,
const CoordinateDiff& pads_begin,
const CoordinateDiff& pads_end,
const Strides& dilations,
const PadType& auto_pad = PadType::EXPLICIT,
const int64_t group = 1,
const int64_t deformable_group = 1
);
// methods
virtual const NodeTypeInfo& get_type_info() const;
virtual bool visit_attributes(AttributeVisitor& visitor);
virtual void validate_and_infer_types();
const Strides& get_strides() const;
void set_strides(const Strides& strides);
const Strides& get_dilations() const;
void set_dilations(const Strides& dilations);
const CoordinateDiff& get_pads_begin() const;
void set_pads_begin(const CoordinateDiff& pads_begin);
const CoordinateDiff& get_pads_end() const;
void set_pads_end(const CoordinateDiff& pads_end);
const PadType& get_auto_pad() const;
void set_auto_pad(const PadType& auto_pad);
int64_t get_group() const;
void set_group(const int64_t group);
int64_t get_deformable_group() const;
void set_deformable_group(const int64_t deformable_group);
virtual std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& new_args) const;
};
Inherited Members¶
public:
// typedefs
typedef DiscreteTypeInfo type_info_t;
typedef std::map<std::string, std::shared_ptr<Variant>> RTMap;
// fields
NGRAPH_DEPRECATED("The tensor name was deprecated. Use get_input_tensor(i).get_names() instead.") const std std::unordered_set<descriptor::Tensor*> liveness_new_list;
std::unordered_set<descriptor::Tensor*> liveness_free_list;
// methods
virtual void validate_and_infer_types();
void constructor_validate_and_infer_types();
virtual bool visit_attributes(AttributeVisitor&);
virtual const op::AutoBroadcastSpec& get_autob() const;
virtual bool has_evaluate() const;
virtual bool evaluate(
const HostTensorVector& output_values,
const HostTensorVector& input_values
) const;
virtual bool evaluate(
const HostTensorVector& output_values,
const HostTensorVector& input_values,
const EvaluationContext& evaluationContext
) const;
virtual bool evaluate_lower(const HostTensorVector& output_values) const;
virtual bool evaluate_upper(const HostTensorVector& output_values) const;
virtual bool constant_fold(
OutputVector& output_values,
const OutputVector& inputs_values
);
virtual OutputVector decompose_op() const;
virtual const type_info_t& get_type_info() const = 0;
const char* get_type_name() const;
void set_arguments(const NodeVector& arguments);
void set_arguments(const OutputVector& arguments);
void set_argument(size_t position, const Output<Node>& argument);
void set_output_type(
size_t i,
const element::Type& element_type,
const PartialShape& pshape
);
void set_output_size(size_t output_size);
void invalidate_values();
virtual void revalidate_and_infer_types();
virtual std::string description() const;
const std::string& get_name() const;
void set_friendly_name(const std::string& name);
const std::string& get_friendly_name() const;
virtual bool is_dynamic() const;
size_t get_instance_id() const;
virtual std::ostream& write_description(std::ostream& os, uint32_t depth = 0) const;
const std::vector<std::shared_ptr<Node>>& get_control_dependencies() const;
const std::vector<Node*>& get_control_dependents() const;
void add_control_dependency(std::shared_ptr<Node> node);
void remove_control_dependency(std::shared_ptr<Node> node);
void clear_control_dependencies();
void clear_control_dependents();
void add_node_control_dependencies(std::shared_ptr<Node> source_node);
void add_node_control_dependents(std::shared_ptr<Node> source_node);
void transfer_control_dependents(std::shared_ptr<Node> replacement);
size_t get_output_size() const;
const element::Type& get_output_element_type(size_t i) const;
const element::Type& get_element_type() const;
const Shape& get_output_shape(size_t i) const;
const PartialShape& get_output_partial_shape(size_t i) const;
Output<const Node> get_default_output() const;
Output<Node> get_default_output();
virtual size_t get_default_output_index() const;
size_t no_default_index() const;
const Shape& get_shape() const;
descriptor::Tensor& get_output_tensor(size_t i) const;
descriptor::Tensor& get_input_tensor(size_t i) const;
NGRAPH_DEPRECATED("The tensor name was deprecated. Use get_output_tensor(i).get_names() instead.") const std std::set<Input<Node>> get_output_target_inputs(size_t i) const;
size_t get_input_size() const;
const element::Type& get_input_element_type(size_t i) const;
const Shape& get_input_shape(size_t i) const;
const PartialShape& get_input_partial_shape(size_t i) const;
Node* get_input_node_ptr(size_t index) const;
std::shared_ptr<Node> get_input_node_shared_ptr(size_t index) const;
Output<Node> get_input_source_output(size_t i) const;
virtual std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& inputs) const = 0;
std::shared_ptr<Node> copy_with_new_inputs(const OutputVector& new_args) const;
std::shared_ptr<Node> copy_with_new_inputs(
const OutputVector& inputs,
const std::vector<std::shared_ptr<Node>>& control_dependencies
) const;
bool has_same_type(std::shared_ptr<const Node> node) const;
RTMap& get_rt_info();
const RTMap& get_rt_info() const;
const std::unordered_set<std::string>& get_provenance_tags() const;
void add_provenance_tag(const std::string& tag);
template <typename T>
void add_provenance_tags(T tag_set);
void add_provenance_tags_above(
const OutputVector& base,
const std::unordered_set<std::string>& tag_set
);
void remove_provenance_tag(const std::string& tag);
void add_provenance_group_member(const std::shared_ptr<Node>& node);
void remove_provenance_group_member(const std::shared_ptr<Node>& node);
void replace_provenance_group_member(
const std::shared_ptr<Node>& current_node,
const std::shared_ptr<Node>& replacement_node
);
const std::set<std::shared_ptr<Node>>& get_provenance_group_members() const;
std::shared_ptr<Node> add_provenance_group_members_above(const OutputVector& base);
void merge_provenance_tags_from(const std::shared_ptr<const Node>& source);
void transfer_provenance_tags(const std::shared_ptr<Node>& replacement);
NodeVector get_users(bool check_is_used = false) const;
virtual size_t get_version() const;
virtual std::shared_ptr<Node> get_default_value() const;
bool operator < (const Node& other) const;
std::vector<Input<Node>> inputs();
std::vector<Input<const Node>> inputs() const;
std::vector<Output<Node>> input_values() const;
std::vector<Output<Node>> outputs();
std::vector<Output<const Node>> outputs() const;
Input<Node> input(size_t input_index);
Input<const Node> input(size_t input_index) const;
Output<Node> input_value(size_t input_index) const;
Output<Node> output(size_t output_index);
Output<const Node> output(size_t output_index) const;
void set_op_annotations(std::shared_ptr<ngraph::op::util::OpAnnotations> op_annotations);
std::shared_ptr<ngraph::op::util::OpAnnotations> get_op_annotations() const;
virtual bool match_value(
pattern::Matcher* matcher,
const Output<Node>& pattern_value,
const Output<Node>& graph_value
);
virtual bool match_node(
pattern::Matcher* matcher,
const Output<Node>& graph_value
);
Detailed Documentation¶
DeformableConvolution operation.
Construction¶
DeformableConvolution()
Constructs a conversion operation.
DeformableConvolution(
const Output<Node>& arg,
const Output<Node>& offsets,
const Output<Node>& filters,
const Strides& strides,
const CoordinateDiff& pads_begin,
const CoordinateDiff& pads_end,
const Strides& dilations,
const PadType& auto_pad = PadType::EXPLICIT,
const int64_t group = 1,
const int64_t deformable_group = 1
)
Constructs a conversion operation.
Parameters:
arg |
Node that produces the input tensor. |
offsets |
Node producing the deformable values tensor. |
filters |
Node producing the filters(kernels) tensor with OIZYX layout. |
strides |
Convolution strides. |
pads_begin |
Amount of padding to be added to the beginning along each axis. For example in case of a 2D input the value of (1, 2) means that 1 element will be added to the top and 2 elements to the left. |
pads_end |
Amount of padding to be added to the end along each axis. |
dilations |
The distance in width and height between the weights in the filters tensor. |
auto_pad |
Specifies how the automatic calculation of padding should be done. |
group |
The number of groups which both output and input should be split into. |
deformable_group |
The number of groups which deformable values and output should be split into along the channel axis. |
Methods¶
virtual const NodeTypeInfo& get_type_info() const
Returns the NodeTypeInfo for the node’s class. During transition to type_info, returns a dummy type_info for Node if the class has not been updated yet.
virtual void validate_and_infer_types()
Verifies that attributes and inputs are consistent and computes output shapes and element types. Must be implemented by concrete child classes so that it can be run any number of times.
Throws if the node is invalid.