ljwztc / CLIP-Driven-Universal-Model

[ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.
Other
565 stars 67 forks source link

Inquiring about Memory Usage and Device Utilization during Training #68

Closed xuehe-dec closed 4 months ago

xuehe-dec commented 7 months ago

I am currently experiencing out-of-memory (OOM) issues during the training process, and I'm seeking assistance to understand the memory usage and device utilization during the training of your project.

Details:

Problem Description: I am encountering out-of-memory errors during training, and I would like to understand the memory requirements of the training process.

Questions:

Could you provide information on the approximate memory usage of your training script? What devices are utilized during the training process? (e.g., GPU type and memory)

ljwztc commented 5 months ago

For training, a minimum of 24GB of memory is required for each GPU. Using multiple GPUs is recommended. The detailed training information and setup we utilized can be found in the "Implementation Details" section of our paper.