Apply dynamic quantization
You've successfully trained a neural network model for deployment, and now you want to optimize it using dynamic quantization. This step is crucial for deploying your model efficiently in environments with limited resources.
The model has been pre-loaded.
This exercise is part of the course
Scalable AI Models with PyTorch Lightning
Exercise instructions
- Import the necessary quantization module from PyTorch.
- Apply dynamic quantization targeting linear layers, using 8-bit integer precision.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
import torch
# Import the necessary quantization module
from torch.quantization import ____
# Apply dynamic quantization targeting linear layers
model_quantized = torch.quantization.____(
____, {torch.nn.____}, dtype=torch.____
)