deepspeedai / deepspeedai/DeepSpeed
[REQUEST] Wan2.1 support
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Description
Is your feature request related to a problem? Please describe.
I'm trying to use wan2.1 with stage 3 but adding deepspeed.zero.Init() before WanModel.from_pretrained(self.model_config['ckpt_path'], torch_dtype=dtype) cause
NotImplementedError: Cannot copy out of meta tensor; no data!
Stacktrace points at:
self.patch_embedding = nn.Conv3d(in_dim, dim, kernel_size=patch_size, stride=patch_size)
in WanModel.init. I thinks it is because custom init_weights code in this init.
Describe the solution you'd like
Any way to fix it? Any suggestion how to modify the code for it to work?
I'm using diffusion-pipe implementation which doesn't use Trainer.
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Research direction
Start by reproducing the failure around deepspeed.zero.Init() and WanModel.from_pretrained(...), then inspect the custom initialization in WanModel.init, especially the nn.Conv3d patch_embedding path. The work is done when Wan2.1 can load with stage 3 and the diffusion-pipe implementation without the meta-tensor NotImplementedError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- distributed-systems, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 30/100