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Advanced Diffusion Training Features #11246
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Signed-off-by: Zeeshan Patel <[email protected]>
beep boop 🤖: 🚨 The following files must be fixed before merge! Your code was analyzed with PyLint. The following annotations have been identified:
Thank you for improving NeMo's documentation! |
beep boop 🤖: 🙏 The following files have warnings. In case you are familiar with these, please try helping us to improve the code base. Your code was analyzed with PyLint. The following annotations have been identified:
Thank you for improving NeMo's documentation! |
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video_latent = torch.ones(self.seq_length, c * p**2, dtype=torch.bfloat16) * 0.5 | ||
text_embedding = torch.randn(self.text_seqlen, self.text_dim, dtype=torch.bfloat16) | ||
pos_emb = pos_id_3d.get_pos_id_3d(t=t, h=h // p, w=w // p).reshape(-1, 3) |
Check notice
Code scanning / CodeQL
Unused local variable Note
torch.cuda.memory._record_memory_history( | ||
True, | ||
# Keep 100,000 alloc/free events from before the snapshot | ||
trace_alloc_max_entries=100000, | ||
# Record stack information for the trace events | ||
trace_alloc_record_context=True, | ||
) |
Check warning
Code scanning / CodeQL
Unreachable code Warning
[🤖]: Hi @zpx01 👋, We wanted to let you know that a CICD pipeline for this PR just finished successfully So it might be time to merge this PR or get some approvals I'm just a bot so I'll leave it you what to do next. //cc @pablo-garay @ko3n1g |
What does this PR do ?
Adds the following new features to the Diffusion Training Framework:
Collection: diffusion
Changelog
Usage
# Add a code snippet demonstrating how to use this
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