68 lines
3.3 KiB
Python
68 lines
3.3 KiB
Python
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# type: ignore
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from __future__ import annotations
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from functools import partial
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from openvino._pyopenvino import Node
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from openvino.utils.decorators import nameable_op
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from openvino.utils.node_factory import _get_node_factory
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from openvino.utils.types import as_nodes
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import functools
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import openvino._pyopenvino
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import typing
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"""
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Factory functions for ops added to openvino opset16.
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"""
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__all__ = ['Node', 'NodeInput', 'as_nodes', 'identity', 'istft', 'nameable_op', 'partial', 'segment_max', 'sparse_fill_empty_rows']
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def identity(*args, **kwargs) -> openvino._pyopenvino.Node:
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"""
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Identity operation is used as a placeholder. It creates a copy of the input to forward to the output.
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:param data: Tensor with data.
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:return: The new node performing Identity operation.
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"""
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def istft(*args, **kwargs) -> openvino._pyopenvino.Node:
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"""
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Return a node which generates ISTFT operation.
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:param data: The node providing input data.
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:param window: The node providing window data.
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:param frame_size: The node with scalar value representing the size of Fourier Transform.
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:param frame_step: The distance (number of samples) between successive window frames.
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:param center: Flag signaling if the signal input has been padded before STFT.
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:param normalized: Flag signaling if the STFT result has been normalized.
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:param signal_length: The optional node with length of the original signal.
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:param name: The optional name for the created output node.
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:return: The new node performing ISTFT operation.
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"""
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def segment_max(*args, **kwargs) -> openvino._pyopenvino.Node:
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"""
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The SegmentMax operation finds the maximum value in each specified segment of the input tensor.
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:param data: ND tensor of type T, the numerical data on which SegmentMax operation will be performed.
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:param segment_ids: 1D Tensor of sorted non-negative numbers, representing the segments.
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:param num_segments: An optional scalar value representing the segments count. If not provided, it is inferred from segment_ids.
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:param fill_mode: Responsible for the value assigned to segments which are empty. Can be "ZERO" or "LOWEST".
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:param name: Optional name for the node.
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:return: The new node performing SegmentMax operation.
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"""
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def sparse_fill_empty_rows(*args, **kwargs) -> openvino._pyopenvino.Node:
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"""
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Fills empty rows of an input sparse tensor with a default value.
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:param values: 1D tensor containing the values to be inserted at the specified indices.
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:param dense_shape: 1D tensor indicating the shape of the 2D dense tensor.
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:param indices: 2D tensor indicating the positions at which values are placed.
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:param default_value: A scalar value to be inserted into empty rows.
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:param name: Optional name for the node.
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:return: The new node performing SparseFillEmptyRows operation with three outputs:
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[output_indices, output_values, empty_row_indicator]
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"""
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NodeInput: typing._UnionGenericAlias # value = typing.Union[openvino._pyopenvino.Node, int, float, numpy.ndarray]
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_get_node_factory_opset16: functools.partial # value = functools.partial(<function _get_node_factory at memory_address>, 'opset16')
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