openvino.runtime.opset11.loop¶
- class openvino.runtime.opset11.loop¶
Bases:
openvino._pyopenvino.Node
openvino.impl.op.Loop wraps ov::op::v0::Loop
- __init__(*args, **kwargs)¶
Overloaded function.
__init__(self: openvino._pyopenvino.op.loop) -> None
__init__(self: openvino._pyopenvino.op.loop, trip_count: ov::Output<ov::Node>, execution_condition: ov::Output<ov::Node>) -> None
__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.
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)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.
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
- __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.
__init__(self: openvino._pyopenvino.op.loop) -> None
__init__(self: openvino._pyopenvino.op.loop, trip_count: ov::Output<ov::Node>, execution_condition: ov::Output<ov::Node>) -> None
__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.
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
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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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.
set_arguments(self: openvino._pyopenvino.Node, arg0: List[openvino._pyopenvino.Node]) -> None
set_arguments(self: openvino._pyopenvino.Node, arg0: List[ov::Output<ov::Node>]) -> None
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 ¶