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For pytorch 1.8.0, its required to use torch.fft.rfft() and torch.fft.irfft() instead of torch.rfft()/torch.irfft(). For the newer versions, there is no onesided argument. How do I update the code for fft to work for pytorch 1.8.0? Thanks.
The text was updated successfully, but these errors were encountered:
Use the new torch.fft module functions, instead, by importing torch.fft and calling torch.fft.rfft() for one-sided output, or torch.fft.fft() for two-sided output (see link)
- Added script for cluster execution: `run_experiment_gpu.sh`.
- Updated dependencies in `requirements.txt` to ensure compatibility with available CUDA versions.
- Refactored `base_model.py` to align with the current PyTorch version*.
- Improved printing and logging during model training in `handler.py`.
*Note: Updated Fourier transform functions as per issue microsoft#14 (microsoft#14).
Hi, thanks for the open source code.
For pytorch 1.8.0, its required to use
torch.fft.rfft()
andtorch.fft.irfft()
instead oftorch.rfft()
/torch.irfft()
. For the newer versions, there is noonesided
argument. How do I update the code forfft
to work for pytorch 1.8.0? Thanks.The text was updated successfully, but these errors were encountered: