Aliases:
tf.signal.irfft2d
tf.spectral.irfft2d
tf.signal.irfft2d(
input_tensor,
fft_length=None,
name=None
)
Defined in tensorflow/python/ops/signal/fft_ops.py
.
Inverse 2D real-valued fast Fourier transform.
Computes the inverse 2-dimensional discrete Fourier transform of a real-valued
signal over the inner-most 2 dimensions of input
.
The inner-most 2 dimensions of input
are assumed to be the result of RFFT2D
:
The inner-most dimension contains the fft_length / 2 + 1
unique components of
the DFT of a real-valued signal. If fft_length
is not provided, it is computed
from the size of the inner-most 2 dimensions of input
. If the FFT length used
to compute input
is odd, it should be provided since it cannot be inferred
properly.
Along each axis IRFFT2D
is computed on, if fft_length
(or
fft_length / 2 + 1
for the inner-most dimension) is smaller than the
corresponding dimension of input
, the dimension is cropped. If it is larger,
the dimension is padded with zeros.
Args:
input
: ATensor
of typecomplex64
. A complex64 tensor.fft_length
: ATensor
of typeint32
. An int32 tensor of shape [2]. The FFT length for each dimension.name
: A name for the operation (optional).
Returns:
A Tensor
of type float32
.