openvino.Model

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

Bases: Model

__init__(*args, **kwargs)

Overloaded function.

1. __init__(self: openvino._pyopenvino.Model, other: openvino._pyopenvino.Model) -> None

2. __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

3. __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

4. __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

5. __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

6. __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 name:

   String to set as model’s friendly name.

   type name:

   str

7. __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

8. __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

9. __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

10. __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_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.

1. __init__(self: openvino._pyopenvino.Model, other: openvino._pyopenvino.Model) -> None

2. __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

3. __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

4. __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

5. __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

6. __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 name:

   String to set as model’s friendly name.

   type name:

   str

7. __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

8. __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

9. __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

10. __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.

1. 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

2. 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_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.

1. 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

2. 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

3. 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_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.

1. 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

2. 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.

1. input(self: openvino._pyopenvino.Model) -> ov::Output<ov::Node>

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

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

4. input(self: openvino._pyopenvino.Model) -> ov::Output<ov::Node const>

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

6. 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.

1. output(self: openvino._pyopenvino.Model) -> ov::Output<ov::Node>

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

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

4. output(self: openvino._pyopenvino.Model) -> ov::Output<ov::Node const>

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

6. 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.

1. reshape(self: openvino._pyopenvino.Model, partial_shape: openvino._pyopenvino.PartialShape) -> None

   Reshape model input.

   GIL is released while running this function.

   param partial_shape:

   New shape.

   type partial_shape:

   openvino.runtime.PartialShape

   :return : void

2. reshape(self: openvino._pyopenvino.Model, partial_shape: list) -> None

   Reshape model input.

   GIL is released while running this function.

   param partial_shape:

   New shape.

   type partial_shape:

   list

   :return : void

3. reshape(self: openvino._pyopenvino.Model, partial_shape: tuple) -> None

   Reshape model input.

   GIL is released while running this function.

   param partial_shape:

   New shape.

   type partial_shape:

   tuple

   :return : void

4. reshape(self: openvino._pyopenvino.Model, partial_shape: str) -> None

   Reshape model input.

   GIL is released while running this function.

   param partial_shape:

   New shape.

   type partial_shape:

   str

   :return : void

5. reshape(self: openvino._pyopenvino.Model, partial_shapes: dict) -> None

Reshape model inputs.

The allowed types of keys in the partial_shapes dictionary are:

1. int, input index

2. str, input tensor name

3. openvino.runtime.Output

The allowed types of values in the partial_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

Reshape model input.

GIL is released while running this function.

param partial_shapes:

New shapes.

type partial_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.

1. 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]

2. 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]