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module 'torch' has no attribute 'rfft'

See original GitHub issue

When I try to run the example, I get a runtime error

>>> X = dct.dct(x)   # DCT-II done through the last dimension
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/usr/local/lib/python3.8/dist-packages/torch_dct/_dct.py", line 48, in dct
    Vc = torch.rfft(v, 1, onesided=False)
AttributeError: module 'torch' has no attribute 'rfft'

my torch version is ‘1.10.2+cu113’. Did I miss something?

Also, I want to ask what is scaled DCT? Does the input of scaled DCT need to be in range [0,1]?

Thank you very much!

Issue Analytics

State:
Created a year ago
Comments:5

Top GitHub Comments

18reactions

MaloShadycommented, Jun 22, 2022

Found the solution hidden in another post: https://github.com/zh217/torch-dct/issues/15#issuecomment-851439294

To migrate the DCT code to the newest pytorch version, you only have to change two lines; one in dct, one in idct.

dct:

#Vc = torch.rfft(v, 1, onesided=False)           # comment this line
Vc = torch.view_as_real(torch.fft.fft(v, dim=1))  # add this line

idct:

# v = torch.irfft(V, 1, onesided=False)                             # comment this line
v= torch.fft.irfft(torch.view_as_complex(V), n=V.shape[1], dim=1)   # add this line

Took me wayyy too long to figure out. Hope it helps you!

0reactions

jonnorcommented, Nov 7, 2022

This can be closed now. Fixed in PR https://github.com/zh217/torch-dct/pull/24