openvino.preprocess.InputTensorInfo

class openvino.preprocess.InputTensorInfo

Bases: pybind11_builtins.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)

__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__()

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().

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_dynamic_shape(self)

set_spatial_static_shape(self, height, width)

__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__(*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.

  1. 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

  2. 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.

  1. set_shape(self: openvino._pyopenvino.preprocess.InputTensorInfo, shape: openvino._pyopenvino.PartialShape) -> openvino._pyopenvino.preprocess.InputTensorInfo

  2. 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