FloatTensor type hint is incompatible with Tensor

[tianze0926]

Describe the bug

At present, the torch.FloatTensor type hint is commonly employed in the codebase. However, if one were to pass a torch.Tensor, Pyright would raise complaints about the inconsistency between these two types. Furthermore, based on information from this thread, it appears that torch.FloatTensor has been deprecated.

Reproduction

import torch
from diffusers.schedulers.scheduling_ddim import DDIMScheduler

scheduler = DDIMScheduler()
a = torch.randn(1, 3, 64, 64)
scheduler.scale_model_input(a)

Output of Pyright:

$ pyright test.py
test.py
  test.py:6:29 - error: Argument of type "Tensor" cannot be assigned to parameter "sample" of type "FloatTensor" in function "scale_model_input"
  __"Tensor" is incompatible with "FloatTensor" (reportArgumentType)
1 error, 0 warnings, 0 informations

Logs

No response

System Info

• pyright version: 1.1.356
• diffusers version: 0.27.2
• Platform: Linux-5.4.210-4-velinux1-amd64-x86_64-with-glibc2.31
• Python version: 3.12.2
• PyTorch version (GPU?): 2.2.1 (True)
• Huggingface_hub version: 0.22.0
• Transformers version: not installed
• Accelerate version: 0.28.0
• xFormers version: not installed
• Using GPU in script?: no
• Using distributed or parallel set-up in script?: no

Who can help?

No response

[DN6]

Thanks for flagging @tianze0926 I think we can update the hints. Would you like to open a PR for it?

[github-actions]

This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

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[vanakema]

I'm working on this if that's cool