ngraph.Node¶
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class
ngraph.
Node
¶ Bases:
pybind11_builtins.pybind11_object
ngraph.impl.Node wraps ngraph::Node
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__init__
(*args, **kwargs)¶ Initialize self. See help(type(self)) for accurate signature.
Methods
__add__
(right_node[, auto_broadcast, name])Return node which applies f(x) = A+B to the input nodes element-wise.
__delattr__
(name, /)Implement delattr(self, name).
__dir__
()Default dir() implementation.
__div__
(right_node[, auto_broadcast, name])Return node which applies f(x) = A/B to the input nodes element-wise.
__eq__
(right_node[, auto_broadcast, name])Return node which checks if input nodes are equal element-wise.
__format__
(format_spec, /)Default object formatter.
__ge__
(right_node[, auto_broadcast, name])Return node which checks if left node is greater or equal to the right node element-wise.
__getattribute__
(name, /)Return getattr(self, name).
__gt__
(right_node[, auto_broadcast, name])Return node which checks if left input node is greater than the right node element-wise.
__hash__
()Return hash(self).
__init__
(*args, **kwargs)Initialize self.
This method is called when a class is subclassed.
__le__
(right_node[, auto_broadcast, name])Return node which checks if left input node is less or equal the right node element-wise.
__lt__
(right_node[, auto_broadcast, name])Return node which checks if left input node is less than the right node element-wise.
__mul__
(right_node[, auto_broadcast, name])Return node which applies f(x) = A*B to the input nodes elementwise.
__ne__
(right_node[, auto_broadcast, name])Return node which checks if input nodes are unequal element-wise.
__new__
(**kwargs)Create and return a new object.
__radd__
(right)__rdiv__
(right)Helper for pickle.
__reduce_ex__
(protocol, /)Helper for pickle.
__repr__
(self)__rmul__
(right)__rsub__
(right)__rtruediv__
(right)__setattr__
(name, value, /)Implement setattr(self, name, value).
Size of object in memory, in bytes.
__str__
()Return str(self).
__sub__
(right_node[, auto_broadcast, name])Return node which applies f(x) = A-B to the input nodes element-wise.
Abstract classes can override this to customize issubclass().
__truediv__
(right_node[, auto_broadcast, name])Return node which applies f(x) = A/B to the input nodes element-wise.
_get_attributes
(self)_set_attribute
(self, arg0, arg1)get_attributes
(self)get_element_type
(self)Checks that there is exactly one output and returns it’s element type.
get_friendly_name
(self)Gets the friendly name for a node.
get_name
(self)Get the unique name of the node
get_output_element_type
(self, i)Returns the element type for output i
get_output_partial_shape
(self, i)Returns the partial shape for output i
get_output_shape
(self, i)Returns the shape for output i
get_output_size
(self)Returns the number of outputs from the node.
get_rt_info
(self)Returns PyRTMap which is a dictionary of user defined runtime info.
get_type_info
(self)get_type_name
(self)Returns Type’s name from the node.
get_version
(self)Returns operation’s version of the node.
input
(self, input_index)A handle to the input_index input of this node.
inputs
(self)A list containing a handle for each of this node’s inputs, in order.
output
(self, output_index)A handle to the output_index output of this node.
outputs
(self)A list containing a handle for each of this node’s outputs, in order.
set_argument
(self, arg0, arg1)set_arguments
(*args, **kwargs)Overloaded function.
set_attribute
(self, arg0, arg1)set_friendly_name
(self, name)Sets a friendly name for a node.
validate
(self)Attributes
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__add__
(right_node: Union[_pyngraph.Node, int, float, numpy.ndarray], auto_broadcast: str = 'NUMPY', name: Optional[str] = None) → _pyngraph.Node¶ Return node which applies f(x) = A+B to the input nodes element-wise.
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__class__
¶ alias of
pybind11_builtins.pybind11_type
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__delattr__
(name, /)¶ Implement delattr(self, name).
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__dir__
()¶ Default dir() implementation.
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__div__
(right_node: Union[_pyngraph.Node, int, float, numpy.ndarray], auto_broadcast: str = 'NUMPY', name: Optional[str] = None) → _pyngraph.Node¶ Return node which applies f(x) = A/B to the input nodes element-wise.
- Parameters
left_node – The node providing dividend data.
right_node – The node providing divisor data.
auto_broadcast – Specifies rules used for auto-broadcasting of input tensors.
name – Optional name for output node.
- Returns
The node performing element-wise division.
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__eq__
(right_node: Union[_pyngraph.Node, int, float, numpy.ndarray], auto_broadcast: str = 'NUMPY', name: Optional[str] = None) → _pyngraph.Node¶ Return node which checks if input nodes are equal element-wise.
- Parameters
left_node – The first input node for equal operation.
right_node – The second input node for equal operation.
auto_broadcast – The type of broadcasting specifies rules used for auto-broadcasting of input tensors.
name – The optional name for output new node.
- Returns
The node performing element-wise equality check.
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__format__
(format_spec, /)¶ Default object formatter.
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__ge__
(right_node: Union[_pyngraph.Node, int, float, numpy.ndarray], auto_broadcast: str = 'NUMPY', name: Optional[str] = None) → _pyngraph.Node¶ Return node which checks if left node is greater or equal to the right node element-wise.
- Parameters
left_node – The first input node providing data.
right_node – The second input node providing data.
auto_broadcast – The type of broadcasting specifies rules used for auto-broadcasting of input tensors.
name – The optional new name for output node.
- Returns
The node performing element-wise check whether left_node is greater than or equal right_node.
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__getattribute__
(name, /)¶ Return getattr(self, name).
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__gt__
(right_node: Union[_pyngraph.Node, int, float, numpy.ndarray], auto_broadcast: str = 'NUMPY', name: Optional[str] = None) → _pyngraph.Node¶ Return node which checks if left input node is greater than the right node element-wise.
- Parameters
left_node – The first input node providing data.
right_node – The second input node providing data.
auto_broadcast – The type of broadcasting specifies rules used for auto-broadcasting of input tensors.
name – The optional new name for output node.
- Returns
The node performing element-wise check whether left_node is greater than right_node.
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__hash__
()¶ Return hash(self).
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__init__
(*args, **kwargs)¶ Initialize self. See help(type(self)) for accurate signature.
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__init_subclass__
()¶ This method is called when a class is subclassed.
The default implementation does nothing. It may be overridden to extend subclasses.
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__le__
(right_node: Union[_pyngraph.Node, int, float, numpy.ndarray], auto_broadcast: str = 'NUMPY', name: Optional[str] = None) → _pyngraph.Node¶ Return node which checks if left input node is less or equal the right node element-wise.
- Parameters
left_node – The first input node providing data.
right_node – The second input node providing data.
auto_broadcast – The type of broadcasting specifies rules used for auto-broadcasting of input tensors.
name – The optional new name for output node.
- Returns
The node performing element-wise check whether left_node is less than or equal the right_node.
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__lt__
(right_node: Union[_pyngraph.Node, int, float, numpy.ndarray], auto_broadcast: str = 'NUMPY', name: Optional[str] = None) → _pyngraph.Node¶ Return node which checks if left input node is less than the right node element-wise.
- Parameters
left_node – The first input node providing data.
right_node – The second input node providing data.
auto_broadcast – The type of broadcasting specifies rules used for auto-broadcasting of input tensors.
name – The optional new name for output node.
- Returns
The node performing element-wise check whether left_node is less than the right_node.
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__mul__
(right_node: Union[_pyngraph.Node, int, float, numpy.ndarray], auto_broadcast: str = 'NUMPY', name: Optional[str] = None) → _pyngraph.Node¶ Return node which applies f(x) = A*B to the input nodes elementwise.
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__ne__
(right_node: Union[_pyngraph.Node, int, float, numpy.ndarray], auto_broadcast: str = 'NUMPY', name: Optional[str] = None) → _pyngraph.Node¶ Return node which checks if input nodes are unequal element-wise.
- Parameters
left_node – The first input node for not-equal operation.
right_node – The second input node for not-equal operation.
auto_broadcast – The type of broadcasting specifies rules used for auto-broadcasting of input tensors.
name – The optional name for output new node.
- Returns
The node performing element-wise inequality check.
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__new__
(**kwargs)¶ Create and return a new object. See help(type) for accurate signature.
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__pybind11_module_local_v4_gcc_libstdcpp_cxxabi1011__
= <capsule object NULL>¶
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__radd__
(right)¶
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__rdiv__
(right)¶
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__reduce__
()¶ Helper for pickle.
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__reduce_ex__
(protocol, /)¶ Helper for pickle.
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__repr__
(self: _pyngraph.Node) → str¶
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__rmul__
(right)¶
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__rsub__
(right)¶
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__rtruediv__
(right)¶
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__setattr__
(name, value, /)¶ Implement setattr(self, name, value).
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__sizeof__
()¶ Size of object in memory, in bytes.
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__str__
()¶ Return str(self).
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__sub__
(right_node: Union[_pyngraph.Node, int, float, numpy.ndarray], auto_broadcast: str = 'NUMPY', name: Optional[str] = None) → _pyngraph.Node¶ Return node which applies f(x) = A-B to the input nodes element-wise.
- Parameters
left_node – The node providing data for left hand side of operator.
right_node – The node providing data for right hand side of operator.
auto_broadcast – The type of broadcasting that specifies mapping of input tensor axes to output shape axes. Range of values: numpy, explicit.
name – The optional name for output node.
- Returns
The new output node performing subtraction operation on both tensors element-wise.
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__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).
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__truediv__
(right_node: Union[_pyngraph.Node, int, float, numpy.ndarray], auto_broadcast: str = 'NUMPY', name: Optional[str] = None) → _pyngraph.Node¶ Return node which applies f(x) = A/B to the input nodes element-wise.
- Parameters
left_node – The node providing dividend data.
right_node – The node providing divisor data.
auto_broadcast – Specifies rules used for auto-broadcasting of input tensors.
name – Optional name for output node.
- Returns
The node performing element-wise division.
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_get_attributes
(self: _pyngraph.Node) → dict¶
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_set_attribute
(self: _pyngraph.Node, arg0: str, arg1: object) → None¶
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property
friendly_name
¶
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get_attributes
(self: _pyngraph.Node) → dict¶
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get_element_type
(self: _pyngraph.Node) → _pyngraph.Type¶ Checks that there is exactly one output and returns it’s element type.
- get_element_typeType
Type of the output.
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get_friendly_name
(self: _pyngraph.Node) → str¶ Gets the friendly name for a node. If no friendly name has been set via set_friendly_name then the node’s unique name is returned.
- get_namestr
Friendly name of the node.
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get_name
(self: _pyngraph.Node) → str¶ Get the unique name of the node
- get_namestr
Unique name of the node.
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get_output_element_type
(self: _pyngraph.Node, i: int) → _pyngraph.Type¶ Returns the element type for output i
- iint
Index of the output.
- get_output_element_typeType
Type of the output i
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get_output_partial_shape
(self: _pyngraph.Node, i: int) → _pyngraph.PartialShape¶ Returns the partial shape for output i
- iint
Index of the output.
- get_output_partial_shapePartialShape
PartialShape of the output i
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get_output_shape
(self: _pyngraph.Node, i: int) → _pyngraph.Shape¶ Returns the shape for output i
- iint
Index of the output.
- get_output_shapeShape
Shape of the output i
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get_output_size
(self: _pyngraph.Node) → int¶ Returns the number of outputs from the node.
- get_element_typeint
Number of outputs.
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get_rt_info
(self: _pyngraph.Node) → _pyngraph.PyRTMap¶ Returns PyRTMap which is a dictionary of user defined runtime info.
- get_rt_infoPyRTMap
A dictionary of user defined data.
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get_type_info
(self: _pyngraph.Node) → ov::DiscreteTypeInfo¶
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get_type_name
(self: _pyngraph.Node) → str¶ Returns Type’s name from the node.
- get_type_namestr
String repesenting Type’s name.
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get_version
(self: _pyngraph.Node) → int¶ Returns operation’s version of the node.
- get_versionint
Operation version.
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input
(self: _pyngraph.Node, input_index: int) → ov::Input<ov::Node>¶ A handle to the input_index input of this node.
- input_indexint
Index of Input.
- inputInput
Input of this node.
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inputs
(self: _pyngraph.Node) → List[ov::Input<ov::Node>]¶ A list containing a handle for each of this node’s inputs, in order.
- inputsList[Input]
List of node’s inputs.
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property
name
¶
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output
(self: _pyngraph.Node, output_index: int) → ov::Output<ov::Node>¶ A handle to the output_index output of this node.
- output_indexint
Index of Output.
- inputOutput
Output of this node.
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outputs
(self: _pyngraph.Node) → List[ov::Output<ov::Node>]¶ A list containing a handle for each of this node’s outputs, in order.
- inputsList[Output]
List of node’s outputs.
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property
rt_info
¶
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set_argument
(self: _pyngraph.Node, arg0: int, arg1: ov::Output<ov::Node>) → None¶
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set_arguments
(*args, **kwargs)¶ Overloaded function.
set_arguments(self: _pyngraph.Node, arg0: List[_pyngraph.Node]) -> None
set_arguments(self: _pyngraph.Node, arg0: List[ov::Output<ov::Node>]) -> None
set_arguments(self: _pyngraph.Node, arg0: List[ov::Output<ov::Node>]) -> None
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set_attribute
(self: _pyngraph.Node, arg0: str, arg1: object) → None¶
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set_friendly_name
(self: _pyngraph.Node, name: str) → None¶ Sets a friendly name for a node. This does not overwrite the unique name of the node and is retrieved via get_friendly_name(). Used mainly for debugging. The friendly name may be set exactly once.
- namestr
Friendly name to set.
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property
shape
¶
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property
type_info
¶
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validate
(self: _pyngraph.Node) → None¶
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property
version
¶
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