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View Code? Open in Web Editor NEW[NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features
Home Page: https://arxiv.org/abs/2105.02375
[NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features
Home Page: https://arxiv.org/abs/2105.02375
Hello, thanks for the nice work. I'm running the validate_NC.py
and I wonder how should I interpret collapse_metric
values < 0
? Thanks.
Hi, when running validate_NC
with gpu_id = 1
, there is an issue where certain neural collapse metrics are computed using .cuda()
instead of .to(device)
. The device is correctly specified in args.device
as used in compute_info
, compute_Sigma_W
, and compute_Sigma_B
, but in compute_ETF
, compute_W_H_relation
, and compute_Wh_b_relation
, .cuda()
is used instead of device
. On my machine, .cuda()
defaults to GPU 0, which leads to an error whenever I specify gpu_id=1
in which case there are tensors being loaded on both GPU 0 and 1. Maybe this is an issue on my end with how my defaults are set for cuda
, but it seems like it could be resolved by using .to(device)
instead of .cuda()
in these instances. Thanks
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