PyTorch is a popular framework for machine learning, and it has been updated to version 1.5.0. This release includes several major additions and API improvements, among which are noteworthy:
The C++ API, previously considered experimental, is now fully stabilized. Users can easily migrate their models from the Python API to the C++ API.
The torch.distributed.rpc package has been stabilized, offering extensive capabilities in distributed training, including automatic gradient calculation and model parameter updates.
The torch_xla package has been updated, leveraging the XLA compiler to speed up model training on cloud TPUs.
The torchaudio, torchvision, and torchtext packages have also been updated, providing tools for developing models that process audio, image, and text data.
Python 2 is no longer supported. All future development will be focused solely on Python 3.
Source: linux.org.ru
