tf.signal.fft
Stay organized with collections
Save and categorize content based on your preferences.
Fast Fourier transform.
tf.signal.fft(
input: _atypes.TensorFuzzingAnnotation[TV_FFT_Tcomplex], name=None
) -> _atypes.TensorFuzzingAnnotation[TV_FFT_Tcomplex]
Computes the 1-dimensional discrete Fourier transform over the inner-most
dimension of input.
Args |
|---|
input
|
A Tensor. Must be one of the following types: complex64, complex128.
A complex tensor.
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor. Has the same type as input.
|
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 2023-10-06 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-10-06 UTC."],[],[]]
