PyTorch is transferred to the Linux Foundation, which will have a significant impact on AI research

Recently, PyTorch founder Soumith Chintala announced on the PyTorch official website that PyTorch, as a top-level project, will be officially transferred to the Linux Foundation (LF), named PyTorch Foundation.

PyTorch was born in January 2017 and launched by Facebook Artificial Intelligence Research (FAIR). It is a Python open source machine learning library based on Torch and can be used for natural language processing and other applications. . As one of the most popular machine learning frameworks, PyTorch currently has more than 2,400 contributors, and nearly 154,000 projects are built on PyTorch.

The core mission of the Linux Foundation is to collaboratively develop open source software. The management committee members of the Foundation are all from AMD, Amazon Web Services (AWS), Google Cloud, Meta, Microsoft For companies such as Azure and NVIDIA, this model is consistent with the current status and development direction of PyTorch. The establishment of the PyTorch Foundation will ensure that business decisions are made in a transparent and open manner by a diverse group of members in the coming years.

In response, Soumith Chintala said, "As PyTorch continues to grow into a multi-stakeholder project, it is time to move to a broader open source base." "I am pleased that the Linux Foundation will Be our new home as they have extensive experience supporting large open source projects like ours like Kubernetes and NodeJS."

Zuckerberg was also in the Facebook post wrote, “The new PyTorch Foundation Board will include many of the AI ​​leaders who have helped get the community to where it is today, including Meta and our partners at AMD, Amazon, Google, Microsoft, and NVIDIA. I’m excited to continue building the PyTorch community And advance AI research.”

Torch introduces PyTorch. It is a Python-based sustainable computing package that provides two advanced features: tensor computing with powerful GPU acceleration (such as NumPy), and deep neural networks including an automatic derivation system. As one of the most popular machine learning frameworks, PyTorch has quickly occupied the top spot on GitHub's popularity list since it was first open sourced on GitHub. Compared with another popular TensorFlow framework, PyTorch has grown from only 7% usage to nearly 80% in just a few years.

Since PyTorch was created, more than 2,400 contributors have built projects based on PyTorch, and nearly 154,000 projects have been built.

Soumith Chintala said that PyTorch’s business governance has been unstructured for a long time, and Meta team members have spent a lot of time and energy building PyTorch into an organizationally healthier entities and introduces many structures. In the next stage, PyTorch’s development goal is to support the interests of multiple stakeholders, which is why the Linux Foundation was chosen. “It has extensive organizational experience in hosting large-scale multi-stakeholder open source projects, and has strong organizational structure and The right balance has been struck in finding specific solutions for these projects.”

Currently, the Linux Foundation has thousands of members around the world and more than 850 open source projects, whose projects directly underpin AI/ Contribute to ML projects, or contribute to their use cases and integrate with their platforms, such as LF Networking, AGL, Delta Lake, RISC-V, etc. As part of the Linux Foundation, PyTorch and its community will benefit from the support of the Linux Foundation's many programs and community activities, including training and certification programs, community research, and more. ######PyTorch also has access to the Linux Foundation’s LFX collaboration portal, which provides guidance and helps the PyTorch community identify future leaders, find potential employees, and observe shared community dynamics. The Linux Foundation said, "PyTorch has reached its current state through good maintenance and open source community management. We will not change any of the advantages of PyTorch." ######Reference link: ######https:// pytorch.org/blog/PyTorchfoundation/######https://www.assemblyai.com/blog/pytorch-vs-tensorflow-in-2022/######https://linuxfoundation.org/ zh/blog/welcoming-pytorch-to-the-linux-foundation/​###

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