tf.keras.ops.hanning

Hanning window function.

Main aliases

tf.keras.ops.numpy.hanning

tf.keras.ops.hanning(
    x
)

The Hanning window is defined as: w[n] = 0.5 - 0.5 * cos(2 * pi * n / (N - 1)) for 0 <= n <= N - 1.

Args
`x`	Scalar or 1D Tensor. The window length.

Returns
A 1D tensor containing the Hanning window values.

x = keras.ops.convert_to_tensor(5)
keras.ops.hanning(x)
array([0. , 0.5, 1. , 0.5, 0. ], dtype=float32)

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.

Last updated 2026-10-31 UTC.

tf.keras.ops.hanning Stay organized with collections Save and categorize content based on your preferences.