ND fast Fourier transform.
tf.raw_ops.FFTND(
input, fft_length, axes, name=None
)
Computes the n-dimensional discrete Fourier transform over
designated dimensions of input
. The designated dimensions of
input
are assumed to be the result of FFTND
.
If fft_length[i]shape(input)[i], the input is padded with zeros. If fft_length
is not given, the default shape(input) is used.
Axes mean the dimensions to perform the transform on. Default is to perform on
all axes.
Args |
input
|
A Tensor . Must be one of the following types: complex64 , complex128 .
A complex tensor.
|
fft_length
|
A Tensor of type int32 .
An int32 tensor. The FFT length for each dimension.
|
axes
|
A Tensor of type int32 .
An int32 tensor with a same shape as fft_length. Axes to perform the transform.
|
name
|
A name for the operation (optional).
|
Returns |
A Tensor . Has the same type as input .
|