openvino.runtime.passes.LowLatency2

class openvino.runtime.passes.LowLatency2

Bases: openvino._pyopenvino.passes.ModelPass, openvino._pyopenvino.passes.PassBase

openvino.runtime.passes.LowLatency2 transformation

__init__(self: openvino._pyopenvino.passes.LowLatency2, use_const_initializer: bool = True) → None

Create LowLatency2 pass which is used for changing the structure of the model, which contains TensorIterator/Loop operations. The transformation finds all TensorIterator/Loop layers in the network, processes all back edges that describe a connection between Result and Parameter of the TensorIterator/Loop bodies, and inserts ReadValue and Assign layers at the input and output corresponding to this back edge.

Parameters

use_const_initializer (bool) – Changes the type of the initializing subgraph for ReadValue operations. If “true”, then the transformation inserts Constant before ReadValue operation. If “false, then the transformation leaves existed initializing subgraph for ReadValue operation.

Methods

__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__(self[, use_const_initializer])	Create LowLatency2 pass which is used for changing the structure of the model, which contains TensorIterator/Loop operations.
__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_name(self)	Get transformation name.
run_on_model(self, model)	run_on_model must be defined in inherited class.
set_name(self, name)	Set transformation name.

__class__

alias of pybind11_builtins.pybind11_type

__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__(self: openvino._pyopenvino.passes.LowLatency2, use_const_initializer: bool = True) → None

Create LowLatency2 pass which is used for changing the structure of the model, which contains TensorIterator/Loop operations. The transformation finds all TensorIterator/Loop layers in the network, processes all back edges that describe a connection between Result and Parameter of the TensorIterator/Loop bodies, and inserts ReadValue and Assign layers at the input and output corresponding to this back edge.

Parameters

use_const_initializer (bool) – Changes the type of the initializing subgraph for ReadValue operations. If “true”, then the transformation inserts Constant before ReadValue operation. If “false, then the transformation leaves existed initializing subgraph for ReadValue operation.

__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)

__reduce__()

Helper for pickle.

__reduce_ex__(protocol, /)

Helper for pickle.

__repr__(self: openvino._pyopenvino.passes.LowLatency2) → 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_name(self: openvino._pyopenvino.passes.PassBase) → str

Get transformation name.

Returns

Transformation name.

Return type

str

run_on_model(self: openvino._pyopenvino.passes.ModelPass, model: openvino._pyopenvino.Model) → bool

run_on_model must be defined in inherited class. This method is used to work with Model directly.

Parameters

model (openvino.runtime.Model) – openvino.runtime.Model to be transformed.

Returns

True in case if Model was changed and False otherwise.

Return type

bool

set_name(self: openvino._pyopenvino.passes.PassBase, name: str) → None

Set transformation name.

Parameters

name (str) – Transformation name.