class ngraph::op::v1::Pad¶
Overview¶
Generic padding operation. More…
#include <pad.hpp>
class Pad: public ngraph::op::Op
{
public:
// fields
static constexpr NodeTypeInfo type_info {"Pad", 1};
// construction
Pad(
const Output<Node>& arg,
const Output<Node>& pads_begin,
const Output<Node>& pads_end,
const Output<Node>& arg_pad_value,
PadMode pad_mode
);
Pad(
const Output<Node>& arg,
const Output<Node>& pads_begin,
const Output<Node>& pads_end,
PadMode pad_mode
);
Pad();
// methods
virtual const NodeTypeInfo& get_type_info() const;
virtual bool visit_attributes(AttributeVisitor& visitor);
virtual size_t get_version() const;
virtual void validate_and_infer_types();
virtual std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& new_args) const;
CoordinateDiff get_pads_begin() const;
CoordinateDiff get_pads_end() const;
PadMode get_pad_mode() const;
void set_pad_mode(PadMode pad_mode);
virtual bool evaluate(
const HostTensorVector& output_values,
const HostTensorVector& input_values
) const;
virtual bool has_evaluate() 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¶
Generic padding operation.
Construction¶
Constructs a generic padding operation.
Parameters:
arg |
The output producing input tensor to be padded. |
pads_begin |
The output which specifies the number of padding elements added before position 0 on each axis of arg. |
pads_end |
The output which specifies the number of padding elements after the last element on each axis. |
arg_pad_value |
The scalar output with the value used for padding if pad_mode is CONSTANT |
pad_mode |
The padding mode: CONSTANT, EDGE, REFLECT or SYMMETRIC. CONSTANT initializes new elements with arg_pad_value, EDGE uses the nearest value from arg. REFLECT and SYMMETRIC tile the background by flipping arg at the edge (SYMMETRIC) or on the last row/column/etc. (REFLECT). |
Constructs a generic padding operation.
Parameters:
arg |
The output producing input tensor to be padded. |
pads_begin |
The output which specifies the number of padding elements added |
pads_end |
The output which specifies the number of padding elements after the last element on each axis. |
pad_mode |
The padding mode: CONSTANT, EDGE, REFLECT or SYMMETRIC. |
Pad()Constructs a generic padding operation.
Methods¶
virtual const NodeTypeInfo& get_type_info() constReturns 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 size_t get_version() constReturns:
Version of this node
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.
CoordinateDiff get_pads_begin() constreturn The node which specifies the number of padding elements added at the beginning of each axis
CoordinateDiff get_pads_end() constreturn The node which specifies the number of padding elements added at the end of each axis
PadMode get_pad_mode() constReturns:
The padding mode.
virtual bool evaluate(
const HostTensorVector& output_values,
const HostTensorVector& input_values
) constEvaluates the op on input_values putting results in output_values.
Parameters:
output_values |
Tensors for the outputs to compute. One for each result |
input_values |
Tensors for the inputs. One for each inputs. |
Returns:
true if successful
virtual bool has_evaluate() constAllows to get information about availability of evaluate method for the current operation.