Training inference time and test data about audio2photoreal HOT 2 CLOSED

Hi! Sorry for the delay in response.

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.

Inference script can be found here: https://github.com/facebookresearch/audio2photoreal/blob/main/sample/generate.py

from audio2photoreal.

Also how exactly is testing/inference done? On the same four participants ?
Unable to find test script in the repo.

from audio2photoreal.