Hello everyone,
I am currently working on a deep learning project using PyTorch with CUDA on an embedded system. The model loading process takes around 8 seconds, which is significantly affecting the performance of my application.
What are the best practices to speed up the model loading time in PyTorch with CUDA?
Any suggestions or insights on how to address this performance issue would be greatly appreciated.
Thank you!