module onnxrt.ops_cpu.op_tan

Short summary

module mlprodict.onnxrt.ops_cpu.op_tan

Runtime operator.

source on GitHub

Classes

class	truncated documentation
Tan	Tan === Calculates the tangent of the given 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__
_run
_run_inplace
to_python

Documentation

Runtime operator.

source on GitHub

class mlprodict.onnxrt.ops_cpu.op_tan.Tan(onnx_node, desc=None, **options)

Bases: OpRunUnaryNum

===

Calculates the tangent of the given input tensor, element-wise.

Inputs

• input (heterogeneous)T: Input tensor

Outputs

• output (heterogeneous)T: The tangent of the input tensor computed element-wise

Type Constraints

• T tensor(float16), tensor(float), tensor(double): Constrain input and output types to float tensors.

Version

Onnx name: Tan

This version of the operator has been available since version 7.

Runtime implementation: Tan

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

_run(x, attributes=None, verbose=0, fLOG=None)

Should be overwritten.

source on GitHub

_run_inplace(x)

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