tf.spectral.irfft2d
tf.spectral.irfft2d
tf.spectral.irfft2d
irfft2d( input_tensor, fft_length=None, name=None )
Defined in tensorflow/python/ops/spectral_ops.py
.
See the guide: Spectral Functions > Fourier Transform Functions
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.
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
. A float32 tensor of the same rank as input
. The inner-most 2 dimensions of input
are replaced with the fft_length
samples of their inverse 2D Fourier transform.
numpy compatibility
Equivalent to np.fft.irfft2
© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/spectral/irfft2d