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pytorch - 💡(How to fix) Fix Inconsistency on GPU and CPU torch.logdet

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Code Example

import os
os.environ["CUDA_VISIBLE_DEVICES"] = "1"
import torch

x = torch.tensor([[2.0, 4.0, 6.0], [4.0, 10.0, 12.0], [6.0, 12.0, 18.0]])
print(x.logdet())
print(x.cuda().logdet().cpu())
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🐛 Describe the bug

import os
os.environ["CUDA_VISIBLE_DEVICES"] = "1"
import torch

x = torch.tensor([[2.0, 4.0, 6.0], [4.0, 10.0, 12.0], [6.0, 12.0, 18.0]])
print(x.logdet())
print(x.cuda().logdet().cpu())

Versions

tensor(-inf) tensor(-13.0520)

cc @ptrblck @msaroufim @eqy @jerryzh168 @tinglvv @nWEIdia @jianyuh @nikitaved @mruberry @walterddr @xwang233 @Lezcano

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pytorch - 💡(How to fix) Fix Inconsistency on GPU and CPU torch.logdet