|TensorFlow 1 version||View source on GitHub|
3D real-valued fast Fourier transform.
tf.signal.rfft3d( input_tensor, fft_length=None, name=None )
Computes the 3-dimensional discrete Fourier transform of a real-valued signal
over the inner-most 3 dimensions of
Since the DFT of a real signal is Hermitian-symmetric,
RFFT3D only returns the
fft_length / 2 + 1 unique components of the FFT for the inner-most dimension
output: the zero-frequency term, followed by the
fft_length / 2
Along each axis
RFFT3D is computed on, if
fft_length is smaller than the
corresponding dimension of
input, the dimension is cropped. If it is larger,
the dimension is padded with zeros.
float32. A float32 tensor.
int32. An int32 tensor of shape . The FFT length for each dimension.
name: A name for the operation (optional).
Tensor of type