ngraph.Function

class ngraph.Function

Bases: pybind11_builtins.pybind11_object

ngraph.impl.Function wraps ngraph::Function

__init__(*args, **kwargs)

Overloaded function.

  1. __init__(self: _pyngraph.Function, results: List[_pyngraph.op.Result], sinks: List[_pyngraph.Node], parameters: List[_pyngraph.op.Parameter], name: str) -> None

    Create user-defined Function which is a representation of a model.

    resultsList[op.Result]

    List of results.

    sinksList[Node]

    List of Nodes to be used as Sinks (e.g. Assign ops).

    parametersList[op.Parameter]

    List of parameters.

    namestr

    String to set as function’s friendly name.

  2. __init__(self: _pyngraph.Function, results: List[_pyngraph.Node], parameters: List[_pyngraph.op.Parameter], name: str) -> None

    Create user-defined Function which is a representation of a model.

    resultsList[Node]

    List of Nodes to be used as results.

    parametersList[op.Parameter]

    List of parameters.

    namestr

    String to set as function’s friendly name.

  3. __init__(self: _pyngraph.Function, result: _pyngraph.Node, parameters: List[_pyngraph.op.Parameter], name: str) -> None

    Create user-defined Function which is a representation of a model.

    resultsNode

    Node to be used as result.

    parametersList[op.Parameter]

    List of parameters.

    namestr

    String to set as function’s friendly name.

Methods

__delattr__(name, /)

Implement delattr(self, name).

__dir__()

Default dir() implementation.

__eq__(value, /)

Return self==value.

__format__(format_spec, /)

Default object formatter.

__ge__(value, /)

Return self>=value.

__getattribute__(name, /)

Return getattr(self, name).

__gt__(value, /)

Return self>value.

__hash__()

Return hash(self).

__init__(*args, **kwargs)

Overloaded function.

__init_subclass__

This method is called when a class is subclassed.

__le__(value, /)

Return self<=value.

__lt__(value, /)

Return self<value.

__ne__(value, /)

Return self!=value.

__new__(**kwargs)

__reduce__()

Helper for pickle.

__reduce_ex__(protocol, /)

Helper for pickle.

__repr__(self)

__setattr__(name, value, /)

Implement setattr(self, name, value).

__sizeof__()

Size of object in memory, in bytes.

__str__()

Return str(self).

__subclasshook__

Abstract classes can override this to customize issubclass().

from_capsule(arg0)

get_friendly_name(self)

Gets the friendly name for a function.

get_name(self)

Get the unique name of the function.

get_ops(self)

Return ops used in the function.

get_ordered_ops(self)

Return ops used in the function in topological order.

get_output_element_type(self, i)

Return the element type of output i

get_output_op(self, i)

Return the op that generates output i

get_output_partial_shape(self, i)

Return the partial shape of element i

get_output_shape(self, i)

Return the shape of element i

get_output_size(self)

Return the number of outputs for the function.

get_parameters(self)

Return the function parameters.

get_result(self)

Return single result.

get_results(self)

Return a list of function outputs.

is_dynamic(self)

Returns true if any of the op's defined in the function contains partial shape.

set_friendly_name(self, name)

Sets a friendly name for a function.

to_capsule(arg0)

Attributes

__pybind11_module_local_v4_gcc_libstdcpp_cxxabi1014__

friendly_name

name

__annotations__ = {}
__class__

alias of pybind11_builtins.pybind11_type

__delattr__(name, /)

Implement delattr(self, name).

__dir__()

Default dir() implementation.

__eq__(value, /)

Return self==value.

__format__(format_spec, /)

Default object formatter.

__ge__(value, /)

Return self>=value.

__getattribute__(name, /)

Return getattr(self, name).

__gt__(value, /)

Return self>value.

__hash__()

Return hash(self).

__init__(*args, **kwargs)

Overloaded function.

  1. __init__(self: _pyngraph.Function, results: List[_pyngraph.op.Result], sinks: List[_pyngraph.Node], parameters: List[_pyngraph.op.Parameter], name: str) -> None

    Create user-defined Function which is a representation of a model.

    resultsList[op.Result]

    List of results.

    sinksList[Node]

    List of Nodes to be used as Sinks (e.g. Assign ops).

    parametersList[op.Parameter]

    List of parameters.

    namestr

    String to set as function’s friendly name.

  2. __init__(self: _pyngraph.Function, results: List[_pyngraph.Node], parameters: List[_pyngraph.op.Parameter], name: str) -> None

    Create user-defined Function which is a representation of a model.

    resultsList[Node]

    List of Nodes to be used as results.

    parametersList[op.Parameter]

    List of parameters.

    namestr

    String to set as function’s friendly name.

  3. __init__(self: _pyngraph.Function, result: _pyngraph.Node, parameters: List[_pyngraph.op.Parameter], name: str) -> None

    Create user-defined Function which is a representation of a model.

    resultsNode

    Node to be used as result.

    parametersList[op.Parameter]

    List of parameters.

    namestr

    String to set as function’s friendly name.

__init_subclass__()

This method is called when a class is subclassed.

The default implementation does nothing. It may be overridden to extend subclasses.

__le__(value, /)

Return self<=value.

__lt__(value, /)

Return self<value.

__ne__(value, /)

Return self!=value.

__new__(**kwargs)
__pybind11_module_local_v4_gcc_libstdcpp_cxxabi1014__ = <capsule object NULL>
__reduce__()

Helper for pickle.

__reduce_ex__(protocol, /)

Helper for pickle.

__repr__(self: _pyngraph.Function) str
__setattr__(name, value, /)

Implement setattr(self, name, value).

__sizeof__()

Size of object in memory, in bytes.

__str__()

Return str(self).

__subclasshook__()

Abstract classes can override this to customize issubclass().

This is invoked early on by abc.ABCMeta.__subclasscheck__(). It should return True, False or NotImplemented. If it returns NotImplemented, the normal algorithm is used. Otherwise, it overrides the normal algorithm (and the outcome is cached).

property friendly_name
static from_capsule(arg0: object) _pyngraph.Function
get_friendly_name(self: _pyngraph.Function) str

Gets the friendly name for a function. If no friendly name has been set via set_friendly_name then the function’s unique name is returned.

get_friendly_namestr

String with a friendly name of the function.

get_name(self: _pyngraph.Function) str

Get the unique name of the function.

get_namestr

String with a name of the function.

get_ops(self: _pyngraph.Function) List[_pyngraph.Node]

Return ops used in the function.

get_opsList[Node]

List of Nodes representing ops used in function.

get_ordered_ops(self: _pyngraph.Function) List[_pyngraph.Node]

Return ops used in the function in topological order.

get_ordered_opsList[Node]

List of sorted Nodes representing ops used in function.

get_output_element_type(self: _pyngraph.Function, i: int) _pyngraph.Type

Return the element type of output i

iint

output index

get_output_opType

Type object of output i

get_output_op(self: _pyngraph.Function, i: int) _pyngraph.Node

Return the op that generates output i

iint

output index

get_output_opNode

Node object that generates output i

get_output_partial_shape(self: _pyngraph.Function, i: int) _pyngraph.PartialShape

Return the partial shape of element i

iint

element index

get_output_partial_shapePartialShape

PartialShape object of element i

get_output_shape(self: _pyngraph.Function, i: int) _pyngraph.Shape

Return the shape of element i

iint

element index

get_output_shapeShape

Shape object of element i

get_output_size(self: _pyngraph.Function) int

Return the number of outputs for the function.

get_output_sizeint

Number of outputs.

get_parameters(self: _pyngraph.Function) List[_pyngraph.op.Parameter]

Return the function parameters.

get_parametersParameterVector

ParameterVector containing function parameters.

get_result(self: _pyngraph.Function) _pyngraph.Node

Return single result.

get_resultNode

Node object representing result.

get_results(self: _pyngraph.Function) List[_pyngraph.op.Result]

Return a list of function outputs.

get_resultsResultVector

ResultVector containing function parameters.

is_dynamic(self: _pyngraph.Function) bool

Returns true if any of the op’s defined in the function contains partial shape.

is_dynamic : bool

property name
set_friendly_name(self: _pyngraph.Function, name: str) None

Sets a friendly name for a function. This does not overwrite the unique name of the function and is retrieved via get_friendly_name(). Used mainly for debugging.

namestr

String to set as the friendly name.

static to_capsule(arg0: _pyngraph.Function) capsule