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I used a single A100 for all such. And total train time for each component can be parallelized but in general, face model = 1 day, body vq model = 1 day, body diffusion model = 3 days. Of course, everything can be gpu parallelized for faster run time as well.
Inference time depends on the length of sequences. but for instance, to run all sequences in our test set (8 s) for 3 iterations took ~30 minutes - 1 hour.
What GPUs and how many of them are used for training/inference?
What is the total training and inference time?
Thanks
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