Optimizing Intel CPU with IPEX
IPEX stands for Intel extension for PyTorch and is a set of libraries and tools provided by Intel to accelerate the training and inference of machine learning models.
IPEX is a clear sign by Intel of highlighting the relevance of PyTorch among machine learning frameworks. After all, Intel has invested a lot of energy and resources in designing and maintaining an API specially created for PyTorch.
It is interesting to say that IPEX strongly relies on libraries provided by the Intel oneAPI toolset. oneAPI contains libraries and tools specific for machine learning applications, such as oneDNN, and other ones to accelerate applications, such as oneTBB, in general.
Important note
The complete code shown in this section is available at https://github.com/PacktPublishing/Accelerate-Model-Training-with-PyTorch-2.X/blob/main/code/chapter04/baseline-densenet121_cifar10.ipynb and https://github.com/PacktPublishing/Accelerate-Model-Training-with-PyTorch...
