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t3dgs
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rahul-goel committed Oct 1, 2024
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Expand Up @@ -16,6 +16,8 @@ class SelectiveAdam(torch.optim.Adam):
leverages the `selective_adam_update` function from a CUDA backend for
optimized sparse updates.
This is one of the two optimizers mentioned in the Taming3DGS paper.
Args:
params (iterable): Iterable of parameters to optimize or dicts defining parameter groups.
eps (float): Term added to the denominator to improve numerical stability (default: 1e-8).
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