- The new PyTorch projects announced include TorchServe and TorchElastic
- PyTorch was created by Facebook’s AI research group to function as a machine learning library of functions for the programming language Python
Amazon Web Services and Facebook have jointly announced some new open-source projects today for PyTorch. It is an open-source machine learning framework used to train artificial intelligence models.
The new PyTorch projects announced include TorchServe and TorchElastic. TorchServe is a model-serving framework for PyTorch. It is said that it makes it easier for developers to move new models into production. TorchElastic is a library developers can use to build fault-tolerant training jobs on Kubernetes clusters.
PyTorch was created by Facebook’s AI research group to function as a machine learning library of functions for the programming language Python. it has been designed for use with deep learning. It is said that PyTorch helps to speed up the development of these kinds of AI capabilities.
Scale-up their cloud-based AI model training resources
As per a blog post by Amazon, the TorchServe library supports models written in both the Python and TorchScript programming languages. It helps developers to run multiple versions of a model at the same time and roll back to a previous version of that model as well.
TorchElastic helps users to scale up their cloud-based AI model training resources according to their needs. It is designed to be used in large, distributed machine learning projects like natural language processing and computer vision as per the companies.
The PyTorch 1.5 release includes a stable C++ front-end application programming interface. It enables the framework to translate models from a Python API to a C++ API. The companies said that the PyTorch 1.5 also comes with upgraded torchvision, torchtext and torchaudio libraries. The torch_xla package helps PyTorch to be used with Google Cloud Tensor Processing Unit chips has also been updated.
