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I was wondering if there are any significant differences between the current method and the commented-out code (apart from potential CUDA acceleration)? Do they produce identical results?
Thank you for your time and for sharing this great work!
The text was updated successfully, but these errors were encountered:
Hello, I noticed that there are two different approaches to obtain ref_local_d in the train.py file:
I was wondering if there are any significant differences between the current method and the commented-out code (apart from potential CUDA acceleration)? Do they produce identical results?
Thank you for your time and for sharing this great work!
The text was updated successfully, but these errors were encountered: