tf.spectral.irfft2d( input_tensor, fft_length=None, name=None )
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
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 / 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.
complex64. A complex64 tensor.
int32. An int32 tensor of shape . The FFT length for each dimension.
name: A name for the operation (optional).
Tensor of type
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.