OneFlow is an open-source deep learning framework designed for high-performance training and deployment of neural networks. It provides tools for building, training, and deploying deep learning models efficiently, with support for both CPU and GPU, as well as distributed computing across multiple nodes.

Features of OneFlow:

• Efficient tensor computations with automatic differentiation (autograd).
• Neural network module (NN Module) for building layers and models easily.
• Support for single-GPU, multi-GPU, and distributed training.
• Optimizers like SGD and Adam, and standard loss functions for training models.
• Data utilities for handling datasets and creating dataloaders.
• Optimized for large-scale deep learning research, prototyping, and production deployment.
• Python API with intuitive syntax for building and manipulating neural networks.
• Open-source and actively maintained, allowing contributions and customization.

To Check the Version of OneFlow :
$ sudo
$ sudo apt update
$ cd /opt
$ source /opt/oneflow-env/bin/activate
$ pip show oneflow | grep Version

Disclaimer: OneFlow is an open-source software distributed under the Apache 2.0 License. It is not affiliated with, endorsed by, or sponsored by any other company. OneFlow is provided "as is," without any warranty, express or implied. Users utilize this software at their own risk. The developers and contributors to OneFlow are not responsible for any damages, losses, or consequences resulting from the use of this software. Users are encouraged to review and comply with licensing terms and any applicable regulations when using OneFlow.