openvino.runtime.opset13.loop

class openvino.runtime.opset13.loop

Bases: openvino._pyopenvino.Node

openvino.impl.op.Loop wraps ov::op::v0::Loop

__init__(*args, **kwargs)

Overloaded function.

1. __init__(self: openvino._pyopenvino.op.loop) -> None

2. __init__(self: openvino._pyopenvino.op.loop, trip_count: ov::Output<ov::Node>, execution_condition: ov::Output<ov::Node>) -> None

3. __init__(self: openvino._pyopenvino.op.loop, trip_count: openvino._pyopenvino.Node, execution_condition: openvino._pyopenvino.Node) -> None

Methods

__add__(right_node[, auto_broadcast, name])	Return node which applies f(A,B) = 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.
__getattr__(self, arg0)
__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)	Overloaded function.
__init_subclass__	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(A,B) = 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)
__radd__(right)
__rdiv__(right)
__reduce__()	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).
__sizeof__()	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.
__subclasshook__	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.
evaluate(*args, **kwargs)	Overloaded function.
get_attributes(self)
get_concatenated_slices(self, value, start, ...)
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_function(self)
get_input_descriptions(self)
get_input_size(self)	Returns the number of inputs to the node.
get_input_tensor(self, index)	Returns the tensor for the node's input with index i
get_iter_value(self, body_value, iteration)
get_name(self)	Get the unique name of the node
get_num_iterations(self)
get_output_descriptions(self)
get_output_element_type(self, index)	Returns the element type for output i
get_output_partial_shape(self, index)	Returns the partial shape for output i
get_output_shape(self, index)	Returns the shape for output i
get_output_size(self)	Returns the number of outputs from the node.
get_output_tensor(self, index)	Returns the tensor for output i
get_rt_info(self)	Returns PyRTMap which is a dictionary of user defined runtime info.
get_special_body_ports(self)
get_type_info(self)
get_type_name(self)	Returns Type's name from the node.
input(self, input_index)	A handle to the input_index input of this node.
input_value(self, index)	Returns input of the node with index i
input_values(self)	Returns list of node's inputs, in order.
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.
set_function(self, func)
set_input_descriptions(self, inputs)
set_invariant_input(self, body_parameter, value)
set_merged_input(self, body_parameter, ...)
set_output_descriptions(self, outputs)
set_sliced_input(self, parameter, value, ...)
set_special_body_ports(self, special_body_ports)
validate(self)

Attributes

friendly_name
name
rt_info
shape
type_info

__add__(right_node: Union[openvino._pyopenvino.Node, int, float, numpy.ndarray], auto_broadcast: str = 'NUMPY', name: Optional[str] = None) → openvino._pyopenvino.Node

Return node which applies f(A,B) = A+B to the input nodes element-wise.

Parameters

• left_node – The first input node for add operation.

• right_node – The second input node for add operation.

• auto_broadcast – The type of broadcasting specifies rules used for auto-broadcasting of input tensors. Defaults to “NUMPY”.

• name – The optional name for output new node.

Returns

The node performing element-wise addition.

__class__

alias of pybind11_builtins.pybind11_type

__delattr__(name, /)

Implement delattr(self, name).

__dir__()

Default dir() implementation.

__div__(right_node: Union[openvino._pyopenvino.Node, int, float, numpy.ndarray], auto_broadcast: str = 'NUMPY', name: Optional[str] = None) → openvino._pyopenvino.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.

__eq__(right_node: Union[openvino._pyopenvino.Node, int, float, numpy.ndarray], auto_broadcast: str = 'NUMPY', name: Optional[str] = None) → openvino._pyopenvino.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.

__format__(format_spec, /)

Default object formatter.

__ge__(right_node: Union[openvino._pyopenvino.Node, int, float, numpy.ndarray], auto_broadcast: str = 'NUMPY', name: Optional[str] = None) → openvino._pyopenvino.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.

__getattr__(self: openvino._pyopenvino.Node, arg0: str) → cpp_function

__getattribute__(name, /)

Return getattr(self, name).

__gt__(right_node: Union[openvino._pyopenvino.Node, int, float, numpy.ndarray], auto_broadcast: str = 'NUMPY', name: Optional[str] = None) → openvino._pyopenvino.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.

__hash__()

Return hash(self).

__init__(*args, **kwargs)

Overloaded function.

1. __init__(self: openvino._pyopenvino.op.loop) -> None

2. __init__(self: openvino._pyopenvino.op.loop, trip_count: ov::Output<ov::Node>, execution_condition: ov::Output<ov::Node>) -> None

3. __init__(self: openvino._pyopenvino.op.loop, trip_count: openvino._pyopenvino.Node, execution_condition: openvino._pyopenvino.Node) -> None

__init_subclass__()

This method is called when a class is subclassed.

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

__le__(right_node: Union[openvino._pyopenvino.Node, int, float, numpy.ndarray], auto_broadcast: str = 'NUMPY', name: Optional[str] = None) → openvino._pyopenvino.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.

__lt__(right_node: Union[openvino._pyopenvino.Node, int, float, numpy.ndarray], auto_broadcast: str = 'NUMPY', name: Optional[str] = None) → openvino._pyopenvino.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.

__mul__(right_node: Union[openvino._pyopenvino.Node, int, float, numpy.ndarray], auto_broadcast: str = 'NUMPY', name: Optional[str] = None) → openvino._pyopenvino.Node

Return node which applies f(A,B) = A*B to the input nodes elementwise.

Parameters

• left_node – The first input node for multiply operation.

• right_node – The second input node for multiply operation.

• auto_broadcast – The type of broadcasting specifies rules used for auto-broadcasting of input tensors. Defaults to “NUMPY”.

• name – The optional name for output new node.

Returns

The node performing element-wise multiplication.

__ne__(right_node: Union[openvino._pyopenvino.Node, int, float, numpy.ndarray], auto_broadcast: str = 'NUMPY', name: Optional[str] = None) → openvino._pyopenvino.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.

__new__(**kwargs)

__radd__(right)

__rdiv__(right)

__reduce__()

Helper for pickle.

__reduce_ex__(protocol, /)

Helper for pickle.

__repr__(self: openvino._pyopenvino.op.loop) → str

__rmul__(right)

__rsub__(right)

__rtruediv__(right)

__setattr__(name, value, /)

Implement setattr(self, name, value).

__sizeof__()

Size of object in memory, in bytes.

__str__()

Return str(self).

__sub__(right_node: Union[openvino._pyopenvino.Node, int, float, numpy.ndarray], auto_broadcast: str = 'NUMPY', name: Optional[str] = None) → openvino._pyopenvino.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.

__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).

__truediv__(right_node: Union[openvino._pyopenvino.Node, int, float, numpy.ndarray], auto_broadcast: str = 'NUMPY', name: Optional[str] = None) → openvino._pyopenvino.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.

evaluate(*args, **kwargs)

Overloaded function.

1. evaluate(self: openvino._pyopenvino.Node, output_values: List[ov::Tensor], input_values: List[ov::Tensor], evaluationContext: openvino._pyopenvino.RTMap) -> bool

   Evaluate the node on inputs, putting results in outputs

   param output_tensors

   Tensors for the outputs to compute. One for each result.

   type output_tensors

   List[openvino.runtime.Tensor]

   param input_tensors

   Tensors for the inputs. One for each inputs.

   type input_tensors

   List[openvino.runtime.Tensor]

   param evaluation_context

   Storage of additional settings and attributes that can be used

   when evaluating the function. This additional information can be shared across nodes. :type evaluation_context: openvino.runtime.RTMap :rtype: bool

2. evaluate(self: openvino._pyopenvino.Node, output_values: List[ov::Tensor], input_values: List[ov::Tensor]) -> bool

   Evaluate the function on inputs, putting results in outputs

   param output_tensors

   Tensors for the outputs to compute. One for each result.

   type output_tensors

   List[openvino.runtime.Tensor]

   param input_tensors

   Tensors for the inputs. One for each inputs.

   type input_tensors

   List[openvino.runtime.Tensor]

   rtype

   bool

property friendly_name

get_attributes(self: openvino._pyopenvino.Node) → dict

get_concatenated_slices(self: openvino._pyopenvino.op.loop, value: ov::Output<ov::Node>, start: int, stride: int, part_size: int, end: int, axis: int) → ov::Output<ov::Node>

get_element_type(self: openvino._pyopenvino.Node) → openvino._pyopenvino.Type

Checks that there is exactly one output and returns it’s element type.

Returns

Type of the output.

Return type

openvino.runtime.Type

get_friendly_name(self: openvino._pyopenvino.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.

Returns

Friendly name of the node.

Return type

str

get_function(self: openvino._pyopenvino.op.loop) → object

get_input_descriptions(self: openvino._pyopenvino.op.loop) → list

get_input_size(self: openvino._pyopenvino.Node) → int

Returns the number of inputs to the node.

Returns

Number of inputs.

Return type

int

get_input_tensor(self: openvino._pyopenvino.Node, index: int) → ov::descriptor::Tensor

Returns the tensor for the node’s input with index i

Parameters

index (int) – Index of Input.

Returns

Tensor of the input i

Return type

openvino._pyopenvino.DescriptorTensor

get_iter_value(self: openvino._pyopenvino.op.loop, body_value: ov::Output<ov::Node>, iteration: int = -1) → ov::Output<ov::Node>

get_name(self: openvino._pyopenvino.Node) → str

Get the unique name of the node

Returns

Unique name of the node.

Return type

str

get_num_iterations(self: openvino._pyopenvino.op.loop) → int

get_output_descriptions(self: openvino._pyopenvino.op.loop) → list

get_output_element_type(self: openvino._pyopenvino.Node, index: int) → openvino._pyopenvino.Type

Returns the element type for output i

Parameters

index (int) – Index of the output.

Returns

Type of the output i

Return type

openvino.runtime.Type

get_output_partial_shape(self: openvino._pyopenvino.Node, index: int) → openvino._pyopenvino.PartialShape

Returns the partial shape for output i

Parameters

index (int) – Index of the output.

Returns

PartialShape of the output i

Return type

openvino.runtime.PartialShape

get_output_shape(self: openvino._pyopenvino.Node, index: int) → openvino._pyopenvino.Shape

Returns the shape for output i

Parameters

index – Index of the output.

Returns

Shape of the output i

Return type

openvino.runtime.Shape

get_output_size(self: openvino._pyopenvino.Node) → int

Returns the number of outputs from the node.

Returns

Number of outputs.

Return type

int

get_output_tensor(self: openvino._pyopenvino.Node, index: int) → ov::descriptor::Tensor

Returns the tensor for output i

Parameters

index (int) – Index of the output.

Returns

Tensor of the output i

Return type

openvino._pyopenvino.DescriptorTensor

get_rt_info(self: openvino._pyopenvino.Node) → openvino._pyopenvino.RTMap

Returns PyRTMap which is a dictionary of user defined runtime info.

Returns

A dictionary of user defined data.

Return type

openvino.runtime.RTMap

get_special_body_ports(self: openvino._pyopenvino.op.loop) → list

get_type_info(self: openvino._pyopenvino.Node) → ov::DiscreteTypeInfo

get_type_name(self: openvino._pyopenvino.Node) → str

Returns Type’s name from the node.

Returns

String representing Type’s name.

Return type

str

input(self: openvino._pyopenvino.Node, input_index: int) → ov::Input<ov::Node>

A handle to the input_index input of this node.

Parameters

input_index (int) – Index of Input.

Returns

Input of this node.

Return type

openvino.runtime.Input

input_value(self: openvino._pyopenvino.Node, index: int) → ov::Output<ov::Node>

Returns input of the node with index i

Parameters

index (int) – Index of Input.

Returns

Input of this node.

Return type

openvino.runtime.Input

input_values(self: openvino._pyopenvino.Node) → List[ov::Output<ov::Node>]

Returns list of node’s inputs, in order.

Returns

List of node’s inputs

Return type

List[openvino.runtime.Input]

inputs(self: openvino._pyopenvino.Node) → List[ov::Input<ov::Node>]

A list containing a handle for each of this node’s inputs, in order.

Returns

List of node’s inputs.

Return type

List[openvino.runtime.Input]

property name

output(self: openvino._pyopenvino.Node, output_index: int) → ov::Output<ov::Node>

A handle to the output_index output of this node.

Parameters

output_index (int) – Index of Output.

Returns

Output of this node.

Return type

openvino.runtime.Output

outputs(self: openvino._pyopenvino.Node) → List[ov::Output<ov::Node>]

A list containing a handle for each of this node’s outputs, in order.

Returns

List of node’s outputs.

Return type

List[openvino.runtime.Output]

property rt_info

set_argument(self: openvino._pyopenvino.Node, arg0: int, arg1: ov::Output<ov::Node>) → None

set_arguments(*args, **kwargs)

Overloaded function.

1. set_arguments(self: openvino._pyopenvino.Node, arg0: List[openvino._pyopenvino.Node]) -> None

2. set_arguments(self: openvino._pyopenvino.Node, arg0: List[ov::Output<ov::Node>]) -> None

3. set_arguments(self: openvino._pyopenvino.Node, arg0: List[ov::Output<ov::Node>]) -> None

set_attribute(self: openvino._pyopenvino.Node, arg0: str, arg1: object) → None

set_friendly_name(self: openvino._pyopenvino.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.

Parameters

name (str) – Friendly name to set.

set_function(self: openvino._pyopenvino.op.loop, func: ov::Model) → None

set_input_descriptions(self: openvino._pyopenvino.op.loop, inputs: list) → None

set_invariant_input(self: openvino._pyopenvino.op.loop, body_parameter: openvino._pyopenvino.op.Parameter, value: ov::Output<ov::Node>) → None

set_merged_input(self: openvino._pyopenvino.op.loop, body_parameter: openvino._pyopenvino.op.Parameter, initial_value: ov::Output<ov::Node>, successive_value: ov::Output<ov::Node>) → None

set_output_descriptions(self: openvino._pyopenvino.op.loop, outputs: list) → None

set_sliced_input(self: openvino._pyopenvino.op.loop, parameter: openvino._pyopenvino.op.Parameter, value: ov::Output<ov::Node>, start: int, stride: int, part_size: int, end: int, axis: int) → None

set_special_body_ports(self: openvino._pyopenvino.op.loop, special_body_ports: list) → None

property shape

property type_info

validate(self: openvino._pyopenvino.Node) → None