tf.spectral.irfft2d( input_tensor, fft_length=None, name=None )
Defined in tensorflow/python/ops/spectral_ops.py
.
See the guide: Spectral Functions > Discrete Fourier Transforms
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.
input
: A Tensor
of type complex64
. A complex64 tensor.fft_length
: A Tensor
of type int32
. An int32 tensor of shape [2]. The FFT length for each dimension.name
: A name for the operation (optional).A Tensor
of type float32
.
© 2018 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