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Doubiiu / DynamiCrafter

[ECCV 2024, Oral] DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors
https://doubiiu.github.io/projects/DynamiCrafter/
Apache License 2.0
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How can we optimize GPU usage or transition from data parallel to model parallel? #95

Open fatbrowncown opened 5 months ago

fatbrowncown commented 5 months ago

Hi there,

I just wanted to express my appreciation for your incredible work. As I dive deeper into this field, I've encountered some limitations with my hardware resources - 2 GPUs T4, each with 16GB of VRAM. Currently, I'm trying to train a demo interpolation model using the first 100 videos of the WebVid-10M-motion dataset. To optimize my training, I made several adjustments:

However, these adjustments don't seem to be sufficient, as I continue to encounter OOM errors. I'm seeking advice on further reducing GPU usage. Specifically:

  1. Are there any additional parameters or strategies I can tweak?
  2. If not, how can I transition from data parallel strategy to model parallel to better manage memory consumption?

Thank you for your guidance. Have a nice day

Doubiiu commented 5 months ago

Hi. Thanks for your interest. The adjustments you've listed are all the ways I could think of... I am sorry that I cannot provide other useful suggestions. Hope to get good news from you.

fatbrowncown commented 5 months ago

Nah, never mind, just a pop up question ^^ I’ve upgraded my hardware to an A100 40GB, and it seems to be working fine with the GPU consuming around 39.5 GB of VRAM. Is this normal?