module `onnx_conv.onnx_ops.onnx_fft`#

Short summary#

module mlprodict.onnx_conv.onnx_ops.onnx_fft

Custom operators for FFT.

source on GitHub

Classes#

class	truncated documentation
`OnnxFFT2D_1`	Defines a custom operator for FFT2D.
`OnnxFFT2D_1`	Defines a custom operator for FFT2D.
`OnnxFFT_1`	Defines a custom operator for FFT.
`OnnxFFT_1`	Defines a custom operator for FFT.
`OnnxRFFT_1`	Defines a custom operator for FFT.
`OnnxRFFT_1`	Defines a custom operator for FFT.

Properties#

property	truncated documentation
`onnx_prefix`
`onnx_prefix`
`onnx_prefix`
`onnx_prefix`
`onnx_prefix`
`onnx_prefix`
`outputs`	Returns the outputs of the node.
`outputs`	Returns the outputs of the node.
`outputs`	Returns the outputs of the node.
`outputs`	Returns the outputs of the node.
`outputs`	Returns the outputs of the node.
`outputs`	Returns the outputs of the node.

Methods#

method	truncated documentation
`__init__`
`__init__`
`__init__`
`__init__`
`__init__`
`__init__`

Documentation#

Custom operators for FFT.

source on GitHub

mlprodict.onnx_conv.onnx_ops.onnx_fft.OnnxFFT#: alias of OnnxFFT_1

mlprodict.onnx_conv.onnx_ops.onnx_fft.OnnxFFT2D#: alias of OnnxFFT2D_1

class mlprodict.onnx_conv.onnx_ops.onnx_fft.OnnxFFT2D_1(*args, axes=(-2, -1), op_version=None, **kwargs)#

Bases: OnnxOperator

Defines a custom operator for FFT2D.

source on GitHub

Parameters:

A – array or OnnxOperatorMixin
fft_length – (optional) array or OnnxOperatorMixin (args)
axes – axes
op_version – opset version
kwargs – additional parameter

source on GitHub

__init__(*args, axes=(-2, -1), op_version=None, **kwargs)#

Parameters:

A – array or OnnxOperatorMixin
fft_length – (optional) array or OnnxOperatorMixin (args)
axes – axes
op_version – opset version
kwargs – additional parameter

source on GitHub

class mlprodict.onnx_conv.onnx_ops.onnx_fft.OnnxFFT_1(*args, axis=-1, op_version=None, **kwargs)#

Bases: OnnxOperator

Defines a custom operator for FFT.

source on GitHub

Parameters:

A – array or OnnxOperatorMixin
fft_length – (optional) array or OnnxOperatorMixin (args)
axis – axis
op_version – opset version
kwargs – additional parameter

source on GitHub

__init__(*args, axis=-1, op_version=None, **kwargs)#

Parameters:

A – array or OnnxOperatorMixin
fft_length – (optional) array or OnnxOperatorMixin (args)
axis – axis
op_version – opset version
kwargs – additional parameter

source on GitHub

mlprodict.onnx_conv.onnx_ops.onnx_fft.OnnxRFFT#: alias of OnnxRFFT_1

class mlprodict.onnx_conv.onnx_ops.onnx_fft.OnnxRFFT_1(*args, axis=-1, op_version=None, **kwargs)#

Bases: OnnxOperator

Defines a custom operator for FFT.

source on GitHub

Parameters:

A – array or OnnxOperatorMixin
fft_length – (optional) array or OnnxOperatorMixin (args)
axis – axis
op_version – opset version
kwargs – additional parameter

source on GitHub

__init__(*args, axis=-1, op_version=None, **kwargs)#

Parameters:

A – array or OnnxOperatorMixin
fft_length – (optional) array or OnnxOperatorMixin (args)
axis – axis
op_version – opset version
kwargs – additional parameter

source on GitHub