openvino.runtime.op.Constant

class openvino.runtime.op.Constant

Bases: openvino._pyopenvino.Node

openvino.runtime.op.Constant wraps ov::op::v0::Constant

__init__(*args, **kwargs)

Overloaded function.

  1. __init__(self: openvino._pyopenvino.op.Constant, array: numpy.ndarray, shared_memory: bool = False) -> None

  2. __init__(self: openvino._pyopenvino.op.Constant, tensor: ov::Tensor, shared_memory: bool = False) -> None

  3. __init__(self: openvino._pyopenvino.op.Constant, arg0: openvino._pyopenvino.Type, arg1: openvino._pyopenvino.Shape, arg2: List[str]) -> None

  4. __init__(self: openvino._pyopenvino.op.Constant, arg0: openvino._pyopenvino.Type, arg1: openvino._pyopenvino.Shape, arg2: List[ov::float16]) -> None

  5. __init__(self: openvino._pyopenvino.op.Constant, arg0: openvino._pyopenvino.Type, arg1: openvino._pyopenvino.Shape, arg2: List[float]) -> None

  6. __init__(self: openvino._pyopenvino.op.Constant, arg0: openvino._pyopenvino.Type, arg1: openvino._pyopenvino.Shape, arg2: List[float]) -> None

  7. __init__(self: openvino._pyopenvino.op.Constant, arg0: openvino._pyopenvino.Type, arg1: openvino._pyopenvino.Shape, arg2: List[int]) -> None

  8. __init__(self: openvino._pyopenvino.op.Constant, arg0: openvino._pyopenvino.Type, arg1: openvino._pyopenvino.Shape, arg2: List[int]) -> None

  9. __init__(self: openvino._pyopenvino.op.Constant, arg0: openvino._pyopenvino.Type, arg1: openvino._pyopenvino.Shape, arg2: List[int]) -> None

  10. __init__(self: openvino._pyopenvino.op.Constant, arg0: openvino._pyopenvino.Type, arg1: openvino._pyopenvino.Shape, arg2: List[int]) -> None

  11. __init__(self: openvino._pyopenvino.op.Constant, arg0: openvino._pyopenvino.Type, arg1: openvino._pyopenvino.Shape, arg2: List[int]) -> None

  12. __init__(self: openvino._pyopenvino.op.Constant, arg0: openvino._pyopenvino.Type, arg1: openvino._pyopenvino.Shape, arg2: List[int]) -> None

  13. __init__(self: openvino._pyopenvino.op.Constant, arg0: openvino._pyopenvino.Type, arg1: openvino._pyopenvino.Shape, arg2: List[int]) -> None

  14. __init__(self: openvino._pyopenvino.op.Constant, arg0: openvino._pyopenvino.Type, arg1: openvino._pyopenvino.Shape, arg2: List[int]) -> 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.

__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_data()

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_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_name(self)

Get the unique name of the node

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_type_info(self)

get_type_name(self)

Returns Type's name from the node.

get_value_strings(self)

get_vector(self)

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.

validate(self)

Attributes

data

Access to Constant's data.

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.

__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.Constant, array: numpy.ndarray, shared_memory: bool = False) -> None

  2. __init__(self: openvino._pyopenvino.op.Constant, tensor: ov::Tensor, shared_memory: bool = False) -> None

  3. __init__(self: openvino._pyopenvino.op.Constant, arg0: openvino._pyopenvino.Type, arg1: openvino._pyopenvino.Shape, arg2: List[str]) -> None

  4. __init__(self: openvino._pyopenvino.op.Constant, arg0: openvino._pyopenvino.Type, arg1: openvino._pyopenvino.Shape, arg2: List[ov::float16]) -> None

  5. __init__(self: openvino._pyopenvino.op.Constant, arg0: openvino._pyopenvino.Type, arg1: openvino._pyopenvino.Shape, arg2: List[float]) -> None

  6. __init__(self: openvino._pyopenvino.op.Constant, arg0: openvino._pyopenvino.Type, arg1: openvino._pyopenvino.Shape, arg2: List[float]) -> None

  7. __init__(self: openvino._pyopenvino.op.Constant, arg0: openvino._pyopenvino.Type, arg1: openvino._pyopenvino.Shape, arg2: List[int]) -> None

  8. __init__(self: openvino._pyopenvino.op.Constant, arg0: openvino._pyopenvino.Type, arg1: openvino._pyopenvino.Shape, arg2: List[int]) -> None

  9. __init__(self: openvino._pyopenvino.op.Constant, arg0: openvino._pyopenvino.Type, arg1: openvino._pyopenvino.Shape, arg2: List[int]) -> None

  10. __init__(self: openvino._pyopenvino.op.Constant, arg0: openvino._pyopenvino.Type, arg1: openvino._pyopenvino.Shape, arg2: List[int]) -> None

  11. __init__(self: openvino._pyopenvino.op.Constant, arg0: openvino._pyopenvino.Type, arg1: openvino._pyopenvino.Shape, arg2: List[int]) -> None

  12. __init__(self: openvino._pyopenvino.op.Constant, arg0: openvino._pyopenvino.Type, arg1: openvino._pyopenvino.Shape, arg2: List[int]) -> None

  13. __init__(self: openvino._pyopenvino.op.Constant, arg0: openvino._pyopenvino.Type, arg1: openvino._pyopenvino.Shape, arg2: List[int]) -> None

  14. __init__(self: openvino._pyopenvino.op.Constant, arg0: openvino._pyopenvino.Type, arg1: openvino._pyopenvino.Shape, arg2: List[int]) -> 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.Node) 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.

property data

Access to Constant’s data.

Returns numpy array with corresponding shape and dtype. For Constants with openvino specific element type, such as u1, it returns linear array, with uint8 / int8 numpy dtype.

Note: this access method reflects shared memory if it was applied during initialization.

Return type

numpy.array

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_data()
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_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_name(self: openvino._pyopenvino.Node) str

Get the unique name of the node

Returns

Unique name of the node.

Return type

str

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_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

get_value_strings(self: openvino._pyopenvino.op.Constant) List[str]
get_vector(self: openvino._pyopenvino.op.Constant) numpy.ndarray
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.

property shape
property type_info
validate(self: openvino._pyopenvino.Node) None