Meta AI announced today that the management of PyTorch, a popular open source deep learning framework, has moved to an independent organization called PyTorch Foundation. It will operate as part of the nonprofit Linux Foundation and its executive board includes representatives from Nvidia, Meta, Google, Microsoft, Amazon, and AMD.
The move comes as the adoption of the PyTorch framework has been widely used in the deep learning industry to power much natural language and computer vision projects, including Tesla Autopilot. Meta quote more than 2,400 contributors and 150,000 projects built on the framework. Making PyTorch its own platform avoids potential conflicts of interest that could arise if PyTorch is controlled solely by Meta, the company that created the framework.
“The PyTorch Foundation will strive to adhere to four principles,” Meta wrote in a blog post announcing the news. “Maintaining openness, maintaining a neutral and fair brand, and building a strong technical identity. One of the fund’s key priorities is to maintain a clear separation between business administration and engineering. by PyTorch.”
The PyTorch project started in 2016 as an implementation Torch Library in Python and it became famous for compute tensor and it autograd based on iceRecord activities like a recorder and then play them back to calculate Slope.
If that sounds complicated, that’s because it is – but PyTorch makes those functions easier by pulling them together into a building block of code that can be used in machine learning projects get more complex without each new project having to reinvent the fundamentals. Layers on top of libraries and frameworks make up most of today’s modern software applications, and that’s especially true in the field of machine learning.
According to Meta, the transition to the PyTorch Foundation will not affect any existing PyTorch code, and Meta remains committed to investing in the now-independent framework in the future.