Comments (2)
Yes, it is significantly faster with GPUs. The deterministic and VAE models should take about 1.5 days to train for 300k iterations, using a batch size of 16 and a single Titan Xp GPU. The GAN and VAE-GAN models take longer. The training speeds are approximately as follows.
Model variant | Time per iteration |
---|---|
deterministic | 0.4s |
VAE | 0.5s |
GAN | 0.8s |
VAE-GAN (SAVP) | 1.6s |
Especially for the GAN and VAE-GAN models, the training speeds are considerably faster with multi-GPU training. The training speeds are improved even further with Volta GPUs.
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Thanks for your response. It was really helpful.
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Related Issues (20)
- Is downloading dataset necessary for sample prediction videos? HOT 1
- Error in downloading dataset (partially downloaded) HOT 1
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