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Posted to commits@tvm.apache.org by "KJlaccHoeUM9l (via GitHub)" <gi...@apache.org> on 2023/03/01 13:30:13 UTC

[GitHub] [tvm] KJlaccHoeUM9l commented on pull request #13999: [ONNX][TOPI] Add `DFT` operator

KJlaccHoeUM9l commented on PR #13999:
URL: https://github.com/apache/tvm/pull/13999#issuecomment-1450157843

   Hello @masahi!
   
   Regarding the latest comments:
   
   > We should avoid allocating the imaginary part when possible. In practice, I think we only need real to complex DFT and complex to real iDFT. In both cases, we can remove one of input or output tensors.
   
   > So rather than defining one big DFT op that does everything, how about making more fine-grained definition for each possible use case?
   
   > Also, please make sure to make our definition of DFT compatible with other frameworks like PyTorch without big performance cost. Here is one for PyTorch https://pytorch.org/docs/stable/fft.html
   
   The comments are valid and should be taken into account. However, these changes require an additional investment of time. Unfortunately, the project in which I did this work ended unexpectedly.
   
   Can we merge this PR in this form (with the possible addition of `TODO`), since the direction of my work has changed a lot?


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