You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
{{ message }}
This repository has been archived by the owner on Oct 31, 2022. It is now read-only.
I am using ml.p3.2xlarge instance on AWS with one 16 GB V100 GPU and tried to train 345 model with batch_size 2 and it gets OOM error. It works for batch_size 1 though.
I am thinking of using batch_size 2 to 8. What size of GPU do I need to make this happen? If anyone has experienced this situation, sharing it would be helpful.
The text was updated successfully, but these errors were encountered:
shamiul94
changed the title
What is the minimum size of GPU I need to set batch_size more than 1 to train 345M model using train.py?
What is the minimum size of GPU I need to set batch_size more than 1 to train 345M model using train.py?
Jun 19, 2020
ml.p3.2xlarge
instance on AWS with one 16 GB V100 GPU and tried to train 345 model with batch_size 2 and it gets OOM error. It works for batch_size 1 though.The text was updated successfully, but these errors were encountered: