module onnxrt.ops_cpu.op_not

Short summary

module mlprodict.onnxrt.ops_cpu.op_not

Runtime operator.

source on GitHub

Classes

class	truncated documentation
Not	Not === Returns the negation of the input tensor element-wise. Inputs

Properties

property	truncated documentation
args_default	Returns the list of arguments as well as the list of parameters with the default values (close to the signature). …
args_default_modified	Returns the list of modified parameters.
args_mandatory	Returns the list of optional arguments.
args_optional	Returns the list of optional arguments.
atts_value	Returns all parameters in a dictionary.

Methods

method	truncated documentation
__init__
_infer_shapes
_infer_types
_run
to_python

Documentation

Runtime operator.

source on GitHub

class mlprodict.onnxrt.ops_cpu.op_not.Not(onnx_node, desc=None, **options)

Bases: mlprodict.onnxrt.ops_cpu._op.OpRunUnary

===

Returns the negation of the input tensor element-wise.

Inputs

• X (heterogeneous)T: Input tensor

Outputs

• Y (heterogeneous)T: Output tensor

Type Constraints

• T tensor(bool): Constrains input/output to boolean tensors.

Version

Onnx name: Not

This version of the operator has been available since version 1.

Runtime implementation: Not

Parameters

• onnx_node – onnx node

• desc – internal representation

• expected_attributes – expected attributes for this node

• options – runtime options

source on GitHub

__init__(onnx_node, desc=None, **options)

Parameters

• onnx_node – onnx node

• desc – internal representation

• expected_attributes – expected attributes for this node

• options – runtime options

source on GitHub

_infer_shapes(x)

Returns the same shape by default.

source on GitHub

_infer_types(x)

Returns the same type by default.

source on GitHub

_run(x)

Should be overwritten.

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to_python(inputs)

Returns a python code equivalent to this operator.

Parameters

inputs – inputs name

Returns

imports, python code, both as strings

source on GitHub

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