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minimax-H3 FL2VA train error

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Assessment

Difficulty
3/5
Estimated time
1-2 days
Newbie friendliness
45/100
Issue type
Bug
Clarity
Needs clarification
Activity status
Active
Tech stack
python
Domain
machine-learning

Research direction

Reproduce the training error and trace the pipe.model_fn call to model_fn_minimax_h3, focusing on the missing audio_latents argument shown in the traceback. Check the surrounding model invocation and confirm the affected training path completes without the TypeError.

Written by the indexing model from the issue text.

Description

[rank5]: noise_pred, noise_pred_audio = pipe.model_fn(
[rank5]: ^^^^^^^^^^^^^^
[rank5]: TypeError: model_fn_minimax_h3() missing 1 required positional argument: 'audio_latents'

Dominant language
Python
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Forks
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Avg merge
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Merged PRs (30d)
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