openvino.Model#

class openvino.Model(*args: Any, **kwargs: Any)#

Bases: Model

__init__(*args, **kwargs)#

Overloaded function.

__init__(self: openvino._pyopenvino.Model, other: openvino._pyopenvino.Model) -> None
__init__(self: openvino._pyopenvino.Model, results: list[openvino._pyopenvino.op.Result], sinks: list[openvino._pyopenvino.Node], parameters: list[openvino._pyopenvino.op.Parameter], name: str = ‘’) -> None

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

param results:

List of results.

type results:

List[op.Result]

param sinks:

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

type sinks:

List[openvino.runtime.Node]

param parameters:

List of parameters.

type parameters:

List[op.Parameter]

param name:

String to set as model’s friendly name.

type name:

str
__init__(self: openvino._pyopenvino.Model, results: list[openvino._pyopenvino.Node], parameters: list[openvino._pyopenvino.op.Parameter], name: str = ‘’) -> None

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

param results:

List of Nodes to be used as results.

type results:

List[openvino.runtime.Node]

param parameters:

List of parameters.

type parameters:

List[op.Parameter]

param name:

String to set as model’s friendly name.

type name:

str
__init__(self: openvino._pyopenvino.Model, result: openvino._pyopenvino.Node, parameters: list[openvino._pyopenvino.op.Parameter], name: str = ‘’) -> None

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

param result:

Node to be used as result.

type result:

openvino.runtime.Node

param parameters:

List of parameters.

type parameters:

List[op.Parameter]

param name:

String to set as model’s friendly name.

type name:

str
__init__(self: openvino._pyopenvino.Model, results: list[ov::Output<ov::Node>], parameters: list[openvino._pyopenvino.op.Parameter], name: str = ‘’) -> None

Create user-defined Model which is a representation of a model

param results:

List of outputs.

type results:

List[openvino.runtime.Output]

param parameters:

List of parameters.

type parameters:

List[op.Parameter]

param name:

String to set as model’s friendly name.

type name:

str
__init__(self: openvino._pyopenvino.Model, results: list[ov::Output<ov::Node>], sinks: list[openvino._pyopenvino.Node], parameters: list[openvino._pyopenvino.op.Parameter], name: str = ‘’) -> None

Create user-defined Model which is a representation of a model

param results:

List of outputs.

type results:

List[openvino.runtime.Output]

param sinks:

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

type sinks:

List[openvino.runtime.Node]

param parameters:

List of parameters.

type parameters:

List[op.Parameter]

param name:

String to set as model’s friendly name.

type name:

str
__init__(self: openvino._pyopenvino.Model, results: list[ov::Output<ov::Node>], sinks: list[ov::Output<ov::Node>], parameters: list[openvino._pyopenvino.op.Parameter], name: str = ‘’) -> None

Create user-defined Model which is a representation of a model

param results:

List of outputs.

type results:

List[openvino.runtime.Output]

param sinks:

List of Output sink node handles.

type sinks:

List[openvino.runtime.Output]

param parameters:

List of parameters.

type parameters:

List[op.Parameter]

param name:

String to set as model’s friendly name.

type name:

str
__init__(self: openvino._pyopenvino.Model, results: list[ov::Output<ov::Node>], sinks: list[ov::Output<ov::Node>], parameters: list[openvino._pyopenvino.op.Parameter], variables: list[openvino._pyopenvino.op.util.Variable], name: str = ‘’) -> None

Create user-defined Model which is a representation of a model

param results:

List of outputs.

type results:

List[openvino.runtime.Output]

param sinks:

List of Output sink node handles.

type sinks:

List[openvino.runtime.Output]

param parameters:

List of parameters.

type parameters:

List[op.Parameter]

param variables:

List of variables.

type variables:

List[op.util.Variable]

param name:

String to set as model’s friendly name.

type name:

str
__init__(self: openvino._pyopenvino.Model, results: list[openvino._pyopenvino.op.Result], sinks: list[ov::Output<ov::Node>], parameters: list[openvino._pyopenvino.op.Parameter], name: str = ‘’) -> None

Create user-defined Model which is a representation of a model

param results:

List of results.

type results:

List[op.Result]

param sinks:

List of Output sink node handles.

type sinks:

List[openvino.runtime.Output]

param parameters:

List of parameters.

type parameters:

List[op.Parameter]

param name:

String to set as model’s friendly name.

type name:

str
__init__(self: openvino._pyopenvino.Model, results: list[openvino._pyopenvino.op.Result], sinks: list[ov::Output<ov::Node>], parameters: list[openvino._pyopenvino.op.Parameter], variables: list[openvino._pyopenvino.op.util.Variable], name: str = ‘’) -> None

Create user-defined Model which is a representation of a model

param results:

List of results.

type results:

List[op.Result]

param sinks:

List of Output sink node handles.

type sinks:

List[openvino.runtime.Output]

param parameters:

List of parameters.

type parameters:

List[op.Parameter]

param variables:

List of variables.

type variables:

List[op.util.Variable]

param name:

String to set as model’s friendly name.

type name:

str
__init__(self: openvino._pyopenvino.Model, results: list[openvino._pyopenvino.op.Result], sinks: list[openvino._pyopenvino.Node], parameters: list[openvino._pyopenvino.op.Parameter], variables: list[openvino._pyopenvino.op.util.Variable], name: str = ‘’) -> None

Create user-defined Model which is a representation of a model

param results:

List of results.

type results:

List[op.Result]

param sinks:

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

type sinks:

List[openvino.runtime.Node]

param parameters:

List of parameters.

type parameters:

List[op.Parameter]

param variables:

List of variables.

type variables:

List[op.util.Variable]

param name:

String to set as model’s friendly name.

type name:

str
__init__(self: openvino._pyopenvino.Model, results: list[ov::Output<ov::Node>], sinks: list[openvino._pyopenvino.Node], parameters: list[openvino._pyopenvino.op.Parameter], variables: list[openvino._pyopenvino.op.util.Variable], name: str = ‘’) -> None

Create user-defined Model which is a representation of a model

param results:

List of results.

type results:

List[openvino.runtime.Output]

param sinks:

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

type sinks:

List[openvino.runtime.Node]

param variables:

List of variables.

type variables:

List[op.util.Variable]

param name:

String to set as model’s friendly name.

type name:

str
__init__(self: openvino._pyopenvino.Model, results: list[openvino._pyopenvino.op.Result], parameters: list[openvino._pyopenvino.op.Parameter], variables: list[openvino._pyopenvino.op.util.Variable], name: str = ‘’) -> None

Create user-defined Model which is a representation of a model

param results:

List of results.

type results:

List[op.Result]

param parameters:

List of parameters.

type parameters:

List[op.Parameter]

param variables:

List of variables.

type variables:

List[op.util.Variable]

param name:

String to set as model’s friendly name.

type name:

str
__init__(self: openvino._pyopenvino.Model, results: list[ov::Output<ov::Node>], parameters: list[openvino._pyopenvino.op.Parameter], variables: list[openvino._pyopenvino.op.util.Variable], name: str = ‘’) -> None

Create user-defined Model which is a representation of a model

param results:

List of results.

type results:

List[openvino.runtime.Output]

param parameters:

List of parameters.

type parameters:

List[op.Parameter]

param name:

String to set as model’s friendly name.

type name:

str

Methods

`__copy__`(self)
`__deepcopy__`(memo)	Returns a deepcopy of Model.
`__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().
`_get_raw_address`(self)	Returns a raw address of the Model object from C++.
`add_outputs`(self, outputs)
`add_parameters`(self, parameters)	Add new Parameter nodes to the list.
`add_results`(self, results)	Add new Result nodes to the list.
`add_sinks`(self, sinks)	Add new sink nodes to the list.
`add_variables`(self, variables)	Add new variables to the list.
`clone`(self)	Return a copy of self.
`evaluate`(self, output_tensors, ...)	Evaluate the model on inputs, putting results in outputs
`get_friendly_name`(self)	Gets the friendly name for a model.
`get_name`(self)	Get the unique name of the model.
`get_ops`(self)	Return ops used in the model.
`get_ordered_ops`(self)	Return ops used in the model in topological order.
`get_output_element_type`(self, index)	Return the element type of output i
`get_output_op`(self, index)	Return the op that generates output i
`get_output_partial_shape`(self, index)	Return the partial shape of element i
`get_output_shape`(self, index)	Return the shape of element i
`get_output_size`(self)	Return the number of outputs for the model.
`get_parameter_index`(self, parameter)	Return the index position of parameter
`get_parameters`(self)	Return the model parameters.
`get_result`(self)	Return single result.
`get_result_index`(args, *kwargs)	Overloaded function.
`get_results`(self)	Return a list of model outputs.
`get_rt_info`(args, *kwargs)	Overloaded function.
`get_sink_index`(args, *kwargs)	Overloaded function.
`get_sinks`(self)	Return a list of model's sinks.
`get_variable_by_id`(self, arg0)	Return a variable by specified variable_id.
`get_variables`(self)	Return a list of model's variables.
`has_rt_info`(args, *kwargs)	Overloaded function.
`input`(args, *kwargs)	Overloaded function.
`is_dynamic`(self)	Returns true if any of the op's defined in the model contains partial shape.
`output`(args, *kwargs)	Overloaded function.
`remove_parameter`(self, parameter)	Delete Parameter node from the list of parameters.
`remove_result`(self, result)	Delete Result node from the list of results.
`remove_sink`(self, sink)	Delete sink node from the list of sinks.
`remove_variable`(self, variable)	Delete variable from the list of variables.
`replace_parameter`(self, parameter_index, ...)	Replace the parameter_index parameter of the model with parameter
`reshape`(args, *kwargs)	Overloaded function.
`set_friendly_name`(self, name)	Sets a friendly name for a model.
`set_rt_info`(args, *kwargs)	Overloaded function.
`validate_nodes_and_infer_types`(self)

Attributes

`__pybind11_module_local_v4_gcc_libstdcpp_cxxabi1014__`
`dynamic`	Returns true if any of the op's defined in the model contains partial shape.
`friendly_name`
`inputs`
`name`
`outputs`
`parameters`	Return the model parameters.
`result`	Return single result.
`results`	Return a list of model outputs.
`rt_info`
`sinks`	Return a list of model's sinks.
`variables`	Return a list of model's variables.

__class__#: alias of pybind11_type

__copy__(self: openvino._pyopenvino.Model) → None#

__deepcopy__(memo: Dict) → Model#

Returns a deepcopy of Model.

Returns:: A copy of Model.
Return type:: openvino.runtime.Model

__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__(self: openvino._pyopenvino.Model, other: openvino._pyopenvino.Model) -> None
__init__(self: openvino._pyopenvino.Model, results: list[openvino._pyopenvino.op.Result], sinks: list[openvino._pyopenvino.Node], parameters: list[openvino._pyopenvino.op.Parameter], name: str = ‘’) -> None

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

param results:

List of results.

type results:

List[op.Result]

param sinks:

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

type sinks:

List[openvino.runtime.Node]

param parameters:

List of parameters.

type parameters:

List[op.Parameter]

param name:

String to set as model’s friendly name.

type name:

str
__init__(self: openvino._pyopenvino.Model, results: list[openvino._pyopenvino.Node], parameters: list[openvino._pyopenvino.op.Parameter], name: str = ‘’) -> None

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

param results:

List of Nodes to be used as results.

type results:

List[openvino.runtime.Node]

param parameters:

List of parameters.

type parameters:

List[op.Parameter]

param name:

String to set as model’s friendly name.

type name:

str
__init__(self: openvino._pyopenvino.Model, result: openvino._pyopenvino.Node, parameters: list[openvino._pyopenvino.op.Parameter], name: str = ‘’) -> None

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

param result:

Node to be used as result.

type result:

openvino.runtime.Node

param parameters:

List of parameters.

type parameters:

List[op.Parameter]

param name:

String to set as model’s friendly name.

type name:

str
__init__(self: openvino._pyopenvino.Model, results: list[ov::Output<ov::Node>], parameters: list[openvino._pyopenvino.op.Parameter], name: str = ‘’) -> None

Create user-defined Model which is a representation of a model

param results:

List of outputs.

type results:

List[openvino.runtime.Output]

param parameters:

List of parameters.

type parameters:

List[op.Parameter]

param name:

String to set as model’s friendly name.

type name:

str
__init__(self: openvino._pyopenvino.Model, results: list[ov::Output<ov::Node>], sinks: list[openvino._pyopenvino.Node], parameters: list[openvino._pyopenvino.op.Parameter], name: str = ‘’) -> None

Create user-defined Model which is a representation of a model

param results:

List of outputs.

type results:

List[openvino.runtime.Output]

param sinks:

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

type sinks:

List[openvino.runtime.Node]

param parameters:

List of parameters.

type parameters:

List[op.Parameter]

param name:

String to set as model’s friendly name.

type name:

str
__init__(self: openvino._pyopenvino.Model, results: list[ov::Output<ov::Node>], sinks: list[ov::Output<ov::Node>], parameters: list[openvino._pyopenvino.op.Parameter], name: str = ‘’) -> None

Create user-defined Model which is a representation of a model

param results:

List of outputs.

type results:

List[openvino.runtime.Output]

param sinks:

List of Output sink node handles.

type sinks:

List[openvino.runtime.Output]

param parameters:

List of parameters.

type parameters:

List[op.Parameter]

param name:

String to set as model’s friendly name.

type name:

str
__init__(self: openvino._pyopenvino.Model, results: list[ov::Output<ov::Node>], sinks: list[ov::Output<ov::Node>], parameters: list[openvino._pyopenvino.op.Parameter], variables: list[openvino._pyopenvino.op.util.Variable], name: str = ‘’) -> None

Create user-defined Model which is a representation of a model

param results:

List of outputs.

type results:

List[openvino.runtime.Output]

param sinks:

List of Output sink node handles.

type sinks:

List[openvino.runtime.Output]

param parameters:

List of parameters.

type parameters:

List[op.Parameter]

param variables:

List of variables.

type variables:

List[op.util.Variable]

param name:

String to set as model’s friendly name.

type name:

str
__init__(self: openvino._pyopenvino.Model, results: list[openvino._pyopenvino.op.Result], sinks: list[ov::Output<ov::Node>], parameters: list[openvino._pyopenvino.op.Parameter], name: str = ‘’) -> None

Create user-defined Model which is a representation of a model

param results:

List of results.

type results:

List[op.Result]

param sinks:

List of Output sink node handles.

type sinks:

List[openvino.runtime.Output]

param parameters:

List of parameters.

type parameters:

List[op.Parameter]

param name:

String to set as model’s friendly name.

type name:

str
__init__(self: openvino._pyopenvino.Model, results: list[openvino._pyopenvino.op.Result], sinks: list[ov::Output<ov::Node>], parameters: list[openvino._pyopenvino.op.Parameter], variables: list[openvino._pyopenvino.op.util.Variable], name: str = ‘’) -> None

Create user-defined Model which is a representation of a model

param results:

List of results.

type results:

List[op.Result]

param sinks:

List of Output sink node handles.

type sinks:

List[openvino.runtime.Output]

param parameters:

List of parameters.

type parameters:

List[op.Parameter]

param variables:

List of variables.

type variables:

List[op.util.Variable]

param name:

String to set as model’s friendly name.

type name:

str
__init__(self: openvino._pyopenvino.Model, results: list[openvino._pyopenvino.op.Result], sinks: list[openvino._pyopenvino.Node], parameters: list[openvino._pyopenvino.op.Parameter], variables: list[openvino._pyopenvino.op.util.Variable], name: str = ‘’) -> None

Create user-defined Model which is a representation of a model

param results:

List of results.

type results:

List[op.Result]

param sinks:

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

type sinks:

List[openvino.runtime.Node]

param parameters:

List of parameters.

type parameters:

List[op.Parameter]

param variables:

List of variables.

type variables:

List[op.util.Variable]

param name:

String to set as model’s friendly name.

type name:

str
__init__(self: openvino._pyopenvino.Model, results: list[ov::Output<ov::Node>], sinks: list[openvino._pyopenvino.Node], parameters: list[openvino._pyopenvino.op.Parameter], variables: list[openvino._pyopenvino.op.util.Variable], name: str = ‘’) -> None

Create user-defined Model which is a representation of a model

param results:

List of results.

type results:

List[openvino.runtime.Output]

param sinks:

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

type sinks:

List[openvino.runtime.Node]

param variables:

List of variables.

type variables:

List[op.util.Variable]

param name:

String to set as model’s friendly name.

type name:

str
__init__(self: openvino._pyopenvino.Model, results: list[openvino._pyopenvino.op.Result], parameters: list[openvino._pyopenvino.op.Parameter], variables: list[openvino._pyopenvino.op.util.Variable], name: str = ‘’) -> None

Create user-defined Model which is a representation of a model

param results:

List of results.

type results:

List[op.Result]

param parameters:

List of parameters.

type parameters:

List[op.Parameter]

param variables:

List of variables.

type variables:

List[op.util.Variable]

param name:

String to set as model’s friendly name.

type name:

str
__init__(self: openvino._pyopenvino.Model, results: list[ov::Output<ov::Node>], parameters: list[openvino._pyopenvino.op.Parameter], variables: list[openvino._pyopenvino.op.util.Variable], name: str = ‘’) -> None

Create user-defined Model which is a representation of a model

param results:

List of results.

type results:

List[openvino.runtime.Output]

param parameters:

List of parameters.

type parameters:

List[op.Parameter]

param name:

String to set as model’s friendly name.

type name:

str

__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: openvino._pyopenvino.Model) → 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).

_get_raw_address(self: openvino._pyopenvino.Model) → int#

Returns a raw address of the Model object from C++.

Use this function in order to compare underlying C++ addresses instead of using __eq__ in Python.

Returns:: a raw address of the Model object.
Return type:: int

add_outputs(self: openvino._pyopenvino.Model, outputs: object) → list[ov::Output<ov::Node>]#

add_parameters(self: openvino._pyopenvino.Model, parameters: list[openvino._pyopenvino.op.Parameter]) → None#

Add new Parameter nodes to the list.

Method doesn’t change or validate graph, it should be done manually. For example, if you want to replace ReadValue node by Parameter, you should do the following steps: * replace node ReadValue by Parameter in graph * call add_parameter() to add new input to the list * call graph validation to check correctness of changes

Parameters:: parameter (List[op.Parameter]) – new Parameter nodes.

add_results(self: openvino._pyopenvino.Model, results: list[openvino._pyopenvino.op.Result]) → None#

Add new Result nodes to the list.

Method doesn’t validate graph, it should be done manually after all changes.

Parameters:: results (List[op.Result]) – new Result nodes.

add_sinks(self: openvino._pyopenvino.Model, sinks: list) → None#

Add new sink nodes to the list.

Method doesn’t validate graph, it should be done manually after all changes.

Parameters:: sinks (List[openvino.runtime.Node]) – new sink nodes.

add_variables(self: openvino._pyopenvino.Model, variables: list[openvino._pyopenvino.op.util.Variable]) → None#

Add new variables to the list.

Method doesn’t validate graph, it should be done manually after all changes.

Parameters:: variables (List[op.util.Variable]) – new variables to add.

clone(self: openvino._pyopenvino.Model) → openvino._pyopenvino.Model#: Return a copy of self. :return: A copy of self. :rtype: openvino.runtime.Model

property dynamic#

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

Return type:: bool

evaluate(self: openvino._pyopenvino.Model, output_tensors: list[ov::Tensor], input_tensors: list[ov::Tensor], evaluation_context: openvino._pyopenvino.RTMap = <RTMap>) → bool#

Evaluate the model on inputs, putting results in outputs

Parameters:

output_tensors (List[openvino.runtime.Tensor]) – Tensors for the outputs to compute. One for each result
input_tensors (List[openvino.runtime.Tensor]) – Tensors for the inputs. One for each inputs.
evaluation_context (openvino.runtime.RTMap) – Storage of additional settings and attributes that can be used when evaluating the model. This additional information can be shared across nodes.

Return type:

bool

property friendly_name#

get_friendly_name(self: openvino._pyopenvino.Model) → str#

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

Returns:: String with a friendly name of the model.
Return type:: str

get_name(self: openvino._pyopenvino.Model) → str#

Get the unique name of the model.

Returns:: String with a name of the model.
Return type:: str

get_ops(self: openvino._pyopenvino.Model) → list[openvino._pyopenvino.Node]#

Return ops used in the model.

Returns:: List of Nodes representing ops used in model.
Return type:: List[openvino.runtime.Node]

get_ordered_ops(self: openvino._pyopenvino.Model) → list[openvino._pyopenvino.Node]#

Return ops used in the model in topological order.

Returns:: List of sorted Nodes representing ops used in model.
Return type:: List[openvino.runtime.Node]

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

Return the element type of output i

Parameters:: index (int) – output index
Returns:: Type object of output i
Return type:: openvino.runtime.Type

get_output_op(self: openvino._pyopenvino.Model, index: int) → openvino._pyopenvino.Node#

Return the op that generates output i

Parameters:: index (output index) – output index
Returns:: Node object that generates output i
Return type:: openvino.runtime.Node

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

Return the partial shape of element i

Parameters:: index (int) – element index
Returns:: PartialShape object of element i
Return type:: openvino.runtime.PartialShape

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

Return the shape of element i

Parameters:: index (int) – element index
Returns:: Shape object of element i
Return type:: openvino.runtime.Shape

get_output_size(self: openvino._pyopenvino.Model) → int#

Return the number of outputs for the model.

Returns:: Number of outputs.
Return type:: int

get_parameter_index(self: openvino._pyopenvino.Model, parameter: openvino._pyopenvino.op.Parameter) → int#

Return the index position of parameter

Return -1 if parameter not matched.

Parameters:: parameter (op.Parameter) – Parameter, which index is to be found.
Returns:: Index for parameter
Return type:: int

get_parameters(self: openvino._pyopenvino.Model) → list[openvino._pyopenvino.op.Parameter]#

Return the model parameters.

Returns:: a list of model’s parameters.
Return type:: List[op.Parameter]

get_result(self: openvino._pyopenvino.Model) → openvino._pyopenvino.Node#

Return single result.

Returns:: Node object representing result.
Return type:: op.Result

get_result_index(*args, **kwargs)#

Overloaded function.

get_result_index(self: openvino._pyopenvino.Model, value: ov::Output<ov::Node>) -> int

Return index of result.

Return -1 if value not matched.

param value:

Output containing Node

type value:

openvino.runtime.Output

return:

Index for value referencing it.

rtype:

int
get_result_index(self: openvino._pyopenvino.Model, value: ov::Output<ov::Node const>) -> int

Return index of result.

Return -1 if value not matched.

param value:

Output containing Node

type value:

openvino.runtime.Output

return:

Index for value referencing it.

rtype:

int
get_result_index(self: openvino._pyopenvino.Model, result: openvino._pyopenvino.op.Result) -> int

Return index of result.

Return -1 if result not matched.

param result:

Result operation

type result:

op.Result

return:

Index for result referencing it.

rtype:

int

get_results(self: openvino._pyopenvino.Model) → list[openvino._pyopenvino.op.Result]#

Return a list of model outputs.

Returns:: a list of model’s result nodes.
Return type:: List[op.Result]

get_rt_info(*args, **kwargs)#

Overloaded function.

get_rt_info(self: openvino._pyopenvino.Model) -> openvino._pyopenvino.RTMap

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

return:

A dictionary of user defined data.

rtype:

openvino.runtime.RTMap
get_rt_info(self: openvino._pyopenvino.Model, path: list) -> object

Returns runtime attribute as a OVAny object.

param path:

List of strings which defines a path to runtime info.

type path:

List[str]

return:

A runtime attribute.

rtype:

openvino.runtime.OVAny
get_rt_info(self: openvino._pyopenvino.Model, path: str) -> object

Returns runtime attribute as a OVAny object.

param path:

List of strings which defines a path to runtime info.

type path:

str

return:

A runtime attribute.

rtype:

openvino.runtime.OVAny

get_sink_index(*args, **kwargs)#

Overloaded function.

get_sink_index(self: openvino._pyopenvino.Model, value: ov::Output<ov::Node>) -> int

Return index of sink.

Return -1 if value not matched.

param value:

Output sink node handle

type value:

openvino.runtime.Output

return:

Index of sink node referenced by output handle.

rtype:

int
get_sink_index(self: openvino._pyopenvino.Model, value: ov::Output<ov::Node const>) -> int

Return index of sink.

Return -1 if value not matched.

param value:

Output sink node handle

type value:

openvino.runtime.Output

return:

Index of sink node referenced by output handle.

rtype:

int
get_sink_index(self: openvino._pyopenvino.Model, sink: object) -> int

Return index of sink node.

Return -1 if sink not matched.

param sink:

Sink node.

type sink:

openvino.runtime.Node

return:

Index of sink node.

rtype:

int

get_sinks(self: openvino._pyopenvino.Model) → list[openvino._pyopenvino.Node]#

Return a list of model’s sinks.

Returns:: a list of model’s sinks.
Return type:: List[openvino.runtime.Node]

get_variable_by_id(self: openvino._pyopenvino.Model, arg0: str) → openvino._pyopenvino.op.util.Variable#

Return a variable by specified variable_id.

Parameters:: variable_id (str) – a variable id to get variable node.
Returns:: a variable node.
Return type:: op.util.Variable

get_variables(self: openvino._pyopenvino.Model) → list[openvino._pyopenvino.op.util.Variable]#

Return a list of model’s variables.

Returns:: a list of model’s variables.
Return type:: List[op.util.Variable]

has_rt_info(*args, **kwargs)#

Overloaded function.

has_rt_info(self: openvino._pyopenvino.Model, path: list) -> bool

Checks if given path exists in runtime info of the model.

param path:

List of strings which defines a path to runtime info.

type path:

List[str]

return:

True if path exists, otherwise False.

rtype:

bool
has_rt_info(self: openvino._pyopenvino.Model, path: str) -> bool

Checks if given path exists in runtime info of the model.

param path:

List of strings which defines a path to runtime info.

type path:

str

return:

True if path exists, otherwise False.

rtype:

bool

input(*args, **kwargs)#

Overloaded function.

input(self: openvino._pyopenvino.Model) -> ov::Output<ov::Node>
input(self: openvino._pyopenvino.Model, index: int) -> ov::Output<ov::Node>
input(self: openvino._pyopenvino.Model, tensor_name: str) -> ov::Output<ov::Node>
input(self: openvino._pyopenvino.Model) -> ov::Output<ov::Node const>
input(self: openvino._pyopenvino.Model, index: int) -> ov::Output<ov::Node const>
input(self: openvino._pyopenvino.Model, tensor_name: str) -> ov::Output<ov::Node const>

property inputs#

is_dynamic(self: openvino._pyopenvino.Model) → bool#

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

Return type:: bool

property name#

output(*args, **kwargs)#

Overloaded function.

output(self: openvino._pyopenvino.Model) -> ov::Output<ov::Node>
output(self: openvino._pyopenvino.Model, index: int) -> ov::Output<ov::Node>
output(self: openvino._pyopenvino.Model, tensor_name: str) -> ov::Output<ov::Node>
output(self: openvino._pyopenvino.Model) -> ov::Output<ov::Node const>
output(self: openvino._pyopenvino.Model, index: int) -> ov::Output<ov::Node const>
output(self: openvino._pyopenvino.Model, tensor_name: str) -> ov::Output<ov::Node const>

property outputs#

property parameters#

Return the model parameters.

Returns:: a list of model’s parameters.
Return type:: List[op.Parameter]

remove_parameter(self: openvino._pyopenvino.Model, parameter: openvino._pyopenvino.op.Parameter) → None#

Delete Parameter node from the list of parameters. Method will not delete node from graph. You need to replace Parameter with other operation manually.

Attention: Indexing of parameters can be changed.

Possible use of method is to replace input by variable. For it the following steps should be done: * Parameter node should be replaced by ReadValue * call remove_parameter(param) to remove input from the list * check if any parameter indexes are saved/used somewhere, update it for all inputs because indexes can be changed * call graph validation to check all changes

Parameters:: parameter (op.Parameter) – Parameter node to delete.

remove_result(self: openvino._pyopenvino.Model, result: openvino._pyopenvino.op.Result) → None#

Delete Result node from the list of results. Method will not delete node from graph.

Parameters:: result (op.Result) – Result node to delete.

remove_sink(self: openvino._pyopenvino.Model, sink: object) → None#

Delete sink node from the list of sinks. Method doesn’t delete node from graph.

Parameters:: sink (openvino.runtime.Node) – Sink to delete.

remove_variable(self: openvino._pyopenvino.Model, variable: openvino._pyopenvino.op.util.Variable) → None#

Delete variable from the list of variables. Method doesn’t delete nodes that used this variable from the graph.

Parameters:: variable (op.util.Variable) – Variable to delete.

replace_parameter(self: openvino._pyopenvino.Model, parameter_index: int, parameter: openvino._pyopenvino.op.Parameter) → None#

Replace the parameter_index parameter of the model with parameter

All users of the parameter_index parameter are redirected to parameter , and the parameter_index entry in the model parameter list is replaced with parameter

Parameters:

parameter_index (int) – The index of the parameter to replace.
parameter (op.Parameter) – The parameter to substitute for the parameter_index parameter.

reshape(*args, **kwargs)#

Overloaded function.

reshape(self: openvino._pyopenvino.Model, partial_shape: openvino._pyopenvino.PartialShape, variables_shapes: dict = {}) -> None
Reshape model input.

The allowed types of keys in the variables_shapes dictionary is str. The allowed types of values in the variables_shapes are:
1. openvino.runtime.PartialShape
2. list consisting of dimensions
3. tuple consisting of dimensions
4. str, string representation of openvino.runtime.PartialShape
When list or tuple are used to describe dimensions, each dimension can be written in form:
1. non-negative int which means static value for the dimension
(2) [min, max], dynamic dimension where min specifies lower bound and max specifies upper bound; the range includes both min and max; using -1 for min or max means no known bound (3) (min, max), the same as above (4) -1 is a dynamic dimension without known bounds (4) openvino.runtime.Dimension (5) str using next syntax:

‘?’ - to define fully dynamic dimension ‘1’ - to define dimension which length is 1 ‘1..10’ - to define bounded dimension ‘..10’ or ‘1..’ to define dimension with only lower or only upper limit

GIL is released while running this function.

param partial_shape:

New shape.

type partial_shape:

openvino.runtime.PartialShape

param variables_shapes:

New shapes for variables

type variables_shapes:

Dict[keys, values]

:return : void
reshape(self: openvino._pyopenvino.Model, partial_shape: list, variables_shapes: dict = {}) -> None
Reshape model input.

The allowed types of keys in the variables_shapes dictionary is str. The allowed types of values in the variables_shapes are:
1. openvino.runtime.PartialShape
2. list consisting of dimensions
3. tuple consisting of dimensions
4. str, string representation of openvino.runtime.PartialShape
When list or tuple are used to describe dimensions, each dimension can be written in form:
1. non-negative int which means static value for the dimension
(2) [min, max], dynamic dimension where min specifies lower bound and max specifies upper bound; the range includes both min and max; using -1 for min or max means no known bound (3) (min, max), the same as above (4) -1 is a dynamic dimension without known bounds (4) openvino.runtime.Dimension (5) str using next syntax:

‘?’ - to define fully dynamic dimension ‘1’ - to define dimension which length is 1 ‘1..10’ - to define bounded dimension ‘..10’ or ‘1..’ to define dimension with only lower or only upper limit

GIL is released while running this function.

param partial_shape:

New shape.

type partial_shape:

list

param variables_shapes:

New shapes for variables

type variables_shapes:

Dict[keys, values]

:return : void
reshape(self: openvino._pyopenvino.Model, partial_shape: tuple, variables_shapes: dict = {}) -> None
Reshape model input.

The allowed types of keys in the variables_shapes dictionary is str. The allowed types of values in the variables_shapes are:
1. openvino.runtime.PartialShape
2. list consisting of dimensions
3. tuple consisting of dimensions
4. str, string representation of openvino.runtime.PartialShape
When list or tuple are used to describe dimensions, each dimension can be written in form:
1. non-negative int which means static value for the dimension
(2) [min, max], dynamic dimension where min specifies lower bound and max specifies upper bound; the range includes both min and max; using -1 for min or max means no known bound (3) (min, max), the same as above (4) -1 is a dynamic dimension without known bounds (4) openvino.runtime.Dimension (5) str using next syntax:

‘?’ - to define fully dynamic dimension ‘1’ - to define dimension which length is 1 ‘1..10’ - to define bounded dimension ‘..10’ or ‘1..’ to define dimension with only lower or only upper limit

GIL is released while running this function.

param partial_shape:

New shape.

type partial_shape:

tuple

param variables_shapes:

New shapes for variables

type variables_shapes:

Dict[keys, values]

:return : void
reshape(self: openvino._pyopenvino.Model, partial_shape: str, variables_shapes: dict = {}) -> None
Reshape model input.

The allowed types of keys in the variables_shapes dictionary is str. The allowed types of values in the variables_shapes are:
1. openvino.runtime.PartialShape
2. list consisting of dimensions
3. tuple consisting of dimensions
4. str, string representation of openvino.runtime.PartialShape
When list or tuple are used to describe dimensions, each dimension can be written in form:
1. non-negative int which means static value for the dimension
(2) [min, max], dynamic dimension where min specifies lower bound and max specifies upper bound; the range includes both min and max; using -1 for min or max means no known bound (3) (min, max), the same as above (4) -1 is a dynamic dimension without known bounds (4) openvino.runtime.Dimension (5) str using next syntax:

‘?’ - to define fully dynamic dimension ‘1’ - to define dimension which length is 1 ‘1..10’ - to define bounded dimension ‘..10’ or ‘1..’ to define dimension with only lower or only upper limit

GIL is released while running this function.

param partial_shape:

New shape.

type partial_shape:

str

param variables_shapes:

New shapes for variables

type variables_shapes:

Dict[keys, values]

:return : void
reshape(self: openvino._pyopenvino.Model, partial_shapes: dict, variables_shapes: dict = {}) -> None

Reshape model inputs.

The allowed types of keys in the partial_shapes dictionary are:

int, input index

str, input tensor name

openvino.runtime.Output

The allowed types of values in the partial_shapes are:

openvino.runtime.PartialShape

list consisting of dimensions

tuple consisting of dimensions

str, string representation of openvino.runtime.PartialShape

When list or tuple are used to describe dimensions, each dimension can be written in form:

non-negative int which means static value for the dimension

[min, max], dynamic dimension where min specifies lower bound and max specifies upper bound; the range includes both min and max; using -1 for min or max means no known bound

(min, max), the same as above

(4) -1 is a dynamic dimension without known bounds (4) openvino.runtime.Dimension (5) str using next syntax:

‘?’ - to define fully dynamic dimension ‘1’ - to define dimension which length is 1 ‘1..10’ - to define bounded dimension ‘..10’ or ‘1..’ to define dimension with only lower or only upper limit

The allowed types of keys in the variables_shapes dictionary is str. The allowed types of values in the variables_shapes are:

openvino.runtime.PartialShape

list consisting of dimensions

tuple consisting of dimensions

str, string representation of openvino.runtime.PartialShape

When list or tuple are used to describe dimensions, each dimension can be written in form:

non-negative int which means static value for the dimension

(2) [min, max], dynamic dimension where min specifies lower bound and max specifies upper bound; the range includes both min and max; using -1 for min or max means no known bound (3) (min, max), the same as above (4) -1 is a dynamic dimension without known bounds (4) openvino.runtime.Dimension (5) str using next syntax:

‘?’ - to define fully dynamic dimension ‘1’ - to define dimension which length is 1 ‘1..10’ - to define bounded dimension ‘..10’ or ‘1..’ to define dimension with only lower or only upper limit

Reshape model inputs.

GIL is released while running this function.

param partial_shapes:

New shapes.

type partial_shapes:

Dict[keys, values]

param variables_shapes:

New shapes for variables

type variables_shapes:

Dict[keys, values]

property result#

Return single result.

Returns:: Node object representing result.
Return type:: op.Result

property results#

Return a list of model outputs.

Returns:: a list of model’s result nodes.
Return type:: List[op.Result]

property rt_info#

set_friendly_name(self: openvino._pyopenvino.Model, name: str) → None#

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

Parameters:: name (str) – String to set as the friendly name.

set_rt_info(*args, **kwargs)#

Overloaded function.

set_rt_info(self: openvino._pyopenvino.Model, obj: object, path: list) -> None

Add value inside runtime info

param obj:

value for the runtime info

type obj:

py:object

param path:

List of strings which defines a path to runtime info.

type path:

List[str]
set_rt_info(self: openvino._pyopenvino.Model, obj: object, path: str) -> None

Add value inside runtime info

param obj:

value for the runtime info

type obj:

Any

param path:

String which defines a path to runtime info.

type path:

str

property sinks#

Return a list of model’s sinks.

Returns:: a list of model’s sinks.
Return type:: List[openvino.runtime.Node]

validate_nodes_and_infer_types(self: openvino._pyopenvino.Model) → None#

property variables#

Return a list of model’s variables.

Returns:: a list of model’s variables.
Return type:: List[op.util.Variable]