module onnxrt.ops_cpu.op_isnan#

Inheritance diagram of mlprodict.onnxrt.ops_cpu.op_isnan

Short summary#

module mlprodict.onnxrt.ops_cpu.op_isnan

Runtime operator.

source on GitHub

Classes#

class

truncated documentation

IsNaN

IsNaN ===== Returns which elements of the input are NaN. 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_isnan.IsNaN(onnx_node, desc=None, **options)#

Bases: OpRunUnary

Returns which elements of the input are NaN.

Inputs

  • X (heterogeneous)T1: input

Outputs

  • Y (heterogeneous)T2: output

Type Constraints

  • T1 tensor(float16), tensor(float), tensor(double), tensor(bfloat16): Constrain input types to float tensors.

  • T2 tensor(bool): Constrain output types to boolean tensors.

Version

Onnx name: IsNaN

This version of the operator has been available since version 13.

Runtime implementation: IsNaN

__init__(onnx_node, desc=None, **options)#
_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(data, attributes=None, verbose=0, fLOG=None)#

Should be overwritten.

source on GitHub

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