tf.ifftnd | TensorFlow v2.16.1 (original) (raw)
tf.ifftnd
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ND inverse fast Fourier transform.
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tf.ifftnd(
input: Annotated[Any, TV_IFFTND_Tcomplex],
fft_length: Annotated[Any, _atypes.Int32],
axes: Annotated[Any, _atypes.Int32],
name=None
) -> Annotated[Any, TV_IFFTND_Tcomplex]
Computes the n-dimensional inverse discrete Fourier transform over designated dimensions of input. The designated dimensions of input are assumed to be the result of IFFTND.
If fft_length[i]<shape(input)[i], the="" input="" is="" cropped.="" 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.</shape(input)[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: 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. |