mindspore.dataset.audio.transforms.ComplexNorm

class mindspore.dataset.audio.transforms.ComplexNorm(power=1.0)

Compute the norm of complex tensor input.

Parameters

power (float, optional) – Power of the norm, which must be non-negative (default=1.0).

Examples

>>> import numpy as np
>>>
>>> waveform = np.random.random([2, 4, 2])
>>> numpy_slices_dataset = ds.NumpySlicesDataset(data=waveform, column_names=["audio"])
>>> transforms = [audio.ComplexNorm()]
>>> numpy_slices_dataset = numpy_slices_dataset.map(operations=transforms, input_columns=["audio"])