Comments (2)
Hi there, thanks for reporting this!
While everything works fine on my machine (Windows, WSL2, as well as native Linux), other users reported similar issues in the past.
There's a (seemingly unrelated) fix to this problem -- I suspect something funky in the underlying codegen -- which in the past always led to slightly worse performance in the case of 128-neurons wide neural networks.
But, and this stumps me, the fix in question improved performance by ~10% when I tried it just now! I'm not going to question it (the fix simplifies the code considerably), push it to master, and merely ask you to pull to confirm it works now.
from tiny-cuda-nn.
Wow, thanks for your quick response!
I pulled the latest master 1e235e8 and have confirmed it works perfectly with one-blob encoding.
I appreciate your quick fix.
from tiny-cuda-nn.
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from tiny-cuda-nn.