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I found having the following configuration works best to unleash the full potential of the gpu available in any apple silicon .
just add the following piece of code to train.py :
import torch._dynamo
torch._dynamo.config.suppress_errors = True
device='mps' (set device to mps), I have added the image of cpu and gpu utilisation of my machine from running this code .
The text was updated successfully, but these errors were encountered:
I found having the following configuration works best to unleash the full potential of the gpu available in any apple silicon .
just add the following piece of code to train.py :
import torch._dynamo
torch._dynamo.config.suppress_errors = True
device='mps' (set device to mps), I have added the image of cpu and gpu utilisation of my machine from running this code .
The text was updated successfully, but these errors were encountered: