ND fast real Fourier transform.
tf.rfftnd(
input: Annotated[Any, TV_RFFTND_Treal],
fft_length: Annotated[Any, _atypes.Int32],
axes: Annotated[Any, _atypes.Int32],
Tcomplex: TV_RFFTND_Tcomplex = tf.dtypes.complex64
,
name=None
) -> Annotated[Any, TV_RFFTND_Tcomplex]
Computes the n-dimensional real discrete Fourier transform over designated
dimensions of input
. The designated dimensions of input
are assumed to be
the result of RFFTND
. The length of the last axis transformed will be
fft_length[-1]//2+1.
If fft_length[i]
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: float32 , float64 .
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.
|
Tcomplex
|
An optional tf.DType from: tf.complex64, tf.complex128 . Defaults to tf.complex64 .
|
name
|
A name for the operation (optional). |
Returns | |
---|---|
A Tensor of type Tcomplex .
|