openvino.preprocess.InputTensorInfo#
- class openvino.preprocess.InputTensorInfo#
Bases:
pybind11_object
openvino.runtime.preprocess.InputTensorInfo wraps ov::preprocess::InputTensorInfo
- __init__(*args, **kwargs)#
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__
(*args, **kwargs)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)Helper for pickle.
__reduce_ex__
(protocol, /)Helper for pickle.
__repr__
()Return repr(self).
__setattr__
(name, value, /)Implement setattr(self, name, value).
Size of object in memory, in bytes.
__str__
()Return str(self).
Abstract classes can override this to customize issubclass().
set_color_format
(self, format, sub_names)set_element_type
(self, type)Set initial client's tensor element type.
set_from
(*args, **kwargs)Overloaded function.
set_layout
(self, layout)Set layout for input tensor info :param layout: layout to be set :type layout: Union[str, openvino.runtime.Layout]
set_memory_type
(self, memory_type)set_shape
(*args, **kwargs)Overloaded function.
set_spatial_static_shape
(self, height, width)- __class__#
alias of
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__(*args, **kwargs)#
- __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__()#
Return 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().
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).
- set_color_format(self: openvino._pyopenvino.preprocess.InputTensorInfo, format: ov::preprocess::ColorFormat, sub_names: list[str] = []) openvino._pyopenvino.preprocess.InputTensorInfo #
- set_element_type(self: openvino._pyopenvino.preprocess.InputTensorInfo, type: openvino._pyopenvino.Type) openvino._pyopenvino.preprocess.InputTensorInfo #
Set initial client’s tensor element type. If type is not the same as model’s element type, conversion of element type will be done automatically.
- Parameters:
type (openvino.runtime.Type) – Client’s input tensor element type.
- Returns:
Reference to itself, allows chaining of calls in client’s code in a builder-like manner.
- Return type:
openvino.runtime.preprocess.InputTensorInfo
- set_from(*args, **kwargs)#
Overloaded function.
set_from(self: openvino._pyopenvino.preprocess.InputTensorInfo, runtime_tensor: ov::Tensor) -> openvino._pyopenvino.preprocess.InputTensorInfo
Helper function to reuse element type and shape from user’s created tensor. Overwrites previously set shape and element type via set_shape and `set_element_type’ methods. This method should be used only in case if runtime tensor is already known and avaiable before.
- param runtime_tensor:
User’s created tensor
- type type:
openvino.runtime.Tensor
- return:
Reference to itself, allows chaining of calls in client’s code in a builder-like manner.
- rtype:
openvino.runtime.preprocess.InputTensorInfo
set_from(self: openvino._pyopenvino.preprocess.InputTensorInfo, runtime_tensor: numpy.ndarray) -> openvino._pyopenvino.preprocess.InputTensorInfo
Helper function to reuse element type and shape from user’s created tensor. Overwrites previously set shape and element type via set_shape and `set_element_type’ methods. This method should be used only in case if runtime tensor is already known and avaiable before.
- param runtime_tensor:
User’s created numpy array
- type type:
numpy.ndarray
- return:
Reference to itself, allows chaining of calls in client’s code in a builder-like manner.
- rtype:
openvino.runtime.preprocess.InputTensorInfo
- set_layout(self: openvino._pyopenvino.preprocess.InputTensorInfo, layout: openvino._pyopenvino.Layout) openvino._pyopenvino.preprocess.InputTensorInfo #
Set layout for input tensor info :param layout: layout to be set :type layout: Union[str, openvino.runtime.Layout]
- set_memory_type(self: openvino._pyopenvino.preprocess.InputTensorInfo, memory_type: str) openvino._pyopenvino.preprocess.InputTensorInfo #
- set_shape(*args, **kwargs)#
Overloaded function.
set_shape(self: openvino._pyopenvino.preprocess.InputTensorInfo, shape: openvino._pyopenvino.PartialShape) -> openvino._pyopenvino.preprocess.InputTensorInfo
set_shape(self: openvino._pyopenvino.preprocess.InputTensorInfo, shape: list[int]) -> openvino._pyopenvino.preprocess.InputTensorInfo
- set_spatial_dynamic_shape(self: openvino._pyopenvino.preprocess.InputTensorInfo) openvino._pyopenvino.preprocess.InputTensorInfo #
- set_spatial_static_shape(self: openvino._pyopenvino.preprocess.InputTensorInfo, height: int, width: int) openvino._pyopenvino.preprocess.InputTensorInfo #