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Training and inference cost to reproduce

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Assessment

Difficulty
2/5
Estimated time
1-3 hours
Newbie friendliness
25/100
Issue type
Documentation
Clarity
Needs clarification
Activity status
Stale
Tech stack
python
Domain
documentation, machine-learning

Research direction

Review the README's inference-memory statement and the details in issue #4. Document the training and distillation GPU count and duration, along with the maximum frame rate or frame count supported by a 24GB GPU. Done means the README or related documentation answers these reproducibility questions.

Written by the indexing model from the issue text.

Description

Hi authors, thanks for your impressive work and contribution.

I would like to ask about the training cost of the method. Could you please provide the GPU requirement to train and distill the model using your method, including how many GPUs were used for how much time?

Also, I observed that you stated a GPU of >24GB memory is sufficient for inference in the README, while in this issue you mentioned 80GB is required to generate 65 frames. May I ask about the the max frame rate or frame number for a 24GB GPU?

Thank you in advance for your help.

Dominant language
Python
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