mindspore.dataset.audio.ComplexNorm
- class mindspore.dataset.audio.ComplexNorm(power=1.0)[source]
Compute the norm of complex number sequence.
Note
The dimension of the audio waveform to be processed needs to be (…, complex=2). The first dimension represents the real part while the second represents the imaginary.
- Parameters
power (float, optional) – Power of the norm, which must be non-negative. Default: 1.0.
- Raises
TypeError – If power is not of type float.
ValueError – If power is a negative number.
RuntimeError – If input tensor is not in shape of <…, complex=2>.
- Supported Platforms:
CPU
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"])