module `onnxrt.ops_cpu.op_rfft`#

Short summary#

module mlprodict.onnxrt.ops_cpu.op_rfft

Runtime operator.

source on GitHub

Classes#

class	truncated documentation
`RFFT`	RFFT (mlprodict) ================ Version Onnx name: RFFT …
`RFFTSchema`	Defines a schema for operators added in this package such as `FFT`.

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__`
`__init__`
`_find_custom_operator_schema`
`_run`
`to_python`

Documentation#

Runtime operator.

source on GitHub

class mlprodict.onnxrt.ops_cpu.op_rfft.RFFT(mlprodict)#

Bases: OpRun

Version

Onnx name: RFFT

This version of the operator has been available since version of domain mlprodict.

Runtime implementation: RFFT

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

_find_custom_operator_schema(op_name)#

_run(a, fft_length=None, 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

class mlprodict.onnxrt.ops_cpu.op_rfft.RFFTSchema#

Bases: OperatorSchema

Defines a schema for operators added in this package such as FFT.

source on GitHub

__init__()#