[Bugfix] Fix dummy weight for fp8

[mzusman]

Allow dummy load format for fp8,
torch.uniform_ doesn't support FP8 at the moment

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[comaniac]

LGTM. Please fix the CI. Looks like the test model outputs were changed.

[comaniac]

Can you add a comment saying we do this because uniform doesn't support <8-bit data type?

[mzusman]

Sure, Added a comment :) Thanks

[comaniac]

cc @robertgshaw2-neuralmagic @mgoin

[pcmoritz]

I don't think this is doing what you want it to do -- it creates an FP16 copy, which is then modified. But the original tensor is kept unchanged:

import torch

z = torch.zeros(3)

z.to(torch.float16).uniform_(-0.1, 1.0)

In [31]: z
Out[31]: tensor([0., 0., 0.])

In order to have this take effect, I believe you would need to assign it param.data at the end I believe :)

[mzusman]

You're right, I've missed that. fixed the PR, now it assigns the copy's data back toparam.data .

[pcmoritz]

LGTM! I'll manually test it before merging :)

[pcmoritz]

Thanks for the contribution, it seems to be working for me 🎉