philtomson

"""
Use torch.cuda.amp in PyTorch for mixed precision training. 
This method mixes 32-bit and 16-bit data to reduce memory use and speed up model training, 
without much loss in accuracy. 

It takes advantage of the quick computing of 16-bit data and controls precision by handling specific operations in 32-bit. 
This approach offers a balance between speed and accuracy in training models.
"""
import torch
from torch.cuda.amp import autocast, GradScaler