Since its inception in PyTorch 2.0 in March 2023, the evolution of torch.compile has been one of the most exciting things to follow. Given that PyTorch’s popularity was due to its “Pythonic” nature, its ease of use, and its line-by-line (a.k.a., eager) execution, the success of a just-in-time (JIT) graph compilation mode should not have been taken […]

The post Maximizing AI/ML Model Performance with PyTorch Compilation appeared first on Towards Data Science.

​Since its inception in PyTorch 2.0 in March 2023, the evolution of torch.compile has been one of the most exciting things to follow. Given that PyTorch’s popularity was due to its “Pythonic” nature, its ease of use, and its line-by-line (a.k.a., eager) execution, the success of a just-in-time (JIT) graph compilation mode should not have been taken
The post Maximizing AI/ML Model Performance with PyTorch Compilation appeared first on Towards Data Science.  Machine Learning, Artificial Intelligence, Deep Learning, Editors Pick, Python, Pytorch Towards Data ScienceRead More