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ANSLibs/OpenVINO/python/openvino/opset11/ops.pyi

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Python

# type: ignore
from __future__ import annotations
from functools import partial
from openvino._pyopenvino import Node
from openvino.utils.decorators import nameable_op
from openvino.utils.node_factory import _get_node_factory
from openvino.utils.types import as_nodes
import functools
import openvino._pyopenvino
import typing
"""
Factory functions for all openvino ops.
"""
__all__ = ['Node', 'NodeInput', 'as_nodes', 'interpolate', 'nameable_op', 'partial', 'topk']
def interpolate(*args, **kwargs) -> openvino._pyopenvino.Node:
"""
Perfors the interpolation of the input tensor.
:param image: The node providing input tensor with data for interpolation.
:param scales_or_sizes:
1D tensor providing information used to calculate the output shape
of the operation. It might contain floats (scales) or integers(sizes).
:param mode: Specifies type of interpolation. Possible values are: nearest, linear,
linear_onnx, cubic, bilinear_pillow, bicubic_pillow.
:param shape_calculation_mode:
Specifies how the scales_or_sizes input should be interpreted.
:param pads_begin: Specifies the number of pixels to add to the beginning of the image
being interpolated. Default is None.
:param pads_end: Specifies the number of pixels to add to the end of the image being
interpolated. Default is None.
:param coordinate_transformation_mode:
Specifies how to transform the coordinate in the resized tensor to the
coordinate in the original tensor. Default is "half_pixel".
:param nearest_mode: Specifies round mode when mode == nearest and is used only when
mode == nearest. Default is "round_prefer_floor".
:param antialias: Specifies whether to perform anti-aliasing. Default is False.
:param cube_coeff: Specifies the parameter a for cubic interpolation. Default is -0.75.
:param axes: 1D tensor specifying dimension indices where interpolation is applied.
The default is None.
:param name: Optional name for the output node. The default is None.
:return: Node representing the interpolation operation.
"""
def topk(*args, **kwargs) -> openvino._pyopenvino.Node:
"""
Return a node which performs TopK.
:param data: Input data.
:param k: K.
:param axis: TopK Axis.
:param mode: Compute TopK largest ('max') or smallest ('min')
:param sort: Order of output elements (sort by: 'none', 'index' or 'value')
:param index_element_type: Type of output tensor with indices.
:param stable: Specifies whether the equivalent elements should maintain
their relative order from the input tensor during sorting.
:return: The new node which performs TopK
"""
NodeInput: typing._UnionGenericAlias # value = typing.Union[openvino._pyopenvino.Node, int, float, numpy.ndarray]
_get_node_factory_opset11: functools.partial # value = functools.partial(<function _get_node_factory at memory_address>, 'opset11')