class ngraph::op::v1::DeformablePSROIPooling¶
Overview¶
#include <deformable_psroi_pooling.hpp>
class DeformablePSROIPooling: public ngraph::op::Op
{
public:
// fields
static constexpr NodeTypeInfo type_info {"DeformablePSROIPooling", 1};
// construction
DeformablePSROIPooling();
DeformablePSROIPooling(
const Output<Node>& input,
const Output<Node>& coords,
const Output<Node>& offsets,
const int64_t output_dim,
const float spatial_scale,
const int64_t group_size = 1,
const std::string mode = "bilinear_deformable",
int64_t spatial_bins_x = 1,
int64_t spatial_bins_y = 1,
float trans_std = 1,
int64_t part_size = 1
);
DeformablePSROIPooling(
const Output<Node>& input,
const Output<Node>& coords,
const int64_t output_dim,
const float spatial_scale,
const int64_t group_size = 1,
const std::string mode = "bilinear_deformable",
int64_t spatial_bins_x = 1,
int64_t spatial_bins_y = 1,
float trans_std = 1,
int64_t part_size = 1
);
// methods
virtual const NodeTypeInfo& get_type_info() const;
virtual bool visit_attributes(AttributeVisitor& visitor);
virtual void validate_and_infer_types();
virtual std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& new_args) const;
int64_t get_output_dim() const;
int64_t get_group_size() const;
float get_spatial_scale() const;
const std::string& get_mode() const;
int64_t get_spatial_bins_x() const;
int64_t get_spatial_bins_y() const;
float get_trans_std() const;
int64_t get_part_size() 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¶
Construction¶
DeformablePSROIPooling(
const Output<Node>& input,
const Output<Node>& coords,
const Output<Node>& offsets,
const int64_t output_dim,
const float spatial_scale,
const int64_t group_size = 1,
const std::string mode = "bilinear_deformable",
int64_t spatial_bins_x = 1,
int64_t spatial_bins_y = 1,
float trans_std = 1,
int64_t part_size = 1
)
Constructs a DeformablePSROIPooling operation.
Parameters:
input |
Input tensor with position sensitive score maps |
coords |
Input tensor with list of five element tuples describing ROI coordinates |
offsets |
Input tensor with transformation values |
output_dim |
Pooled output channel number |
group_size |
Number of horizontal bins per row to divide ROI area, it defines output width and height |
spatial_scale |
Multiplicative spatial scale factor to translate ROI coordinates from their input scale to the scale used when pooling |
mode |
Specifies mode for pooling. |
spatial_bins_x |
Specifies numbers of bins to divide ROI single bin over width |
spatial_bins_y |
Specifies numbers of bins to divide ROI single bin over height |
no_trans |
The flag that specifies whenever third input exists and contains transformation (offset) values |
trans_std |
The value that all transformation (offset) values are multiplied with |
part_size |
The number of parts the output tensor spatial dimensions are divided into. Basically it is the height and width of the third input |
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.