The open-source deep learning framework developed by Facebook AI Research was PyTorch.
PyTorch emerged from Facebook’s work on machine-learning tools and was publicly released in 2016. It provided a Python-focused interface over efficient C++ and CUDA components, making it practical for both research experimentation and GPU-accelerated model training. Its tensor operations, automatic differentiation, and dynamic computation style helped researchers modify models rapidly.
PyTorch grew out of ideas and components connected to Torch, an earlier machine-learning framework whose front end was written in Lua. Facebook also maintained Caffe2, a separate deep-learning framework; Caffe2 was merged into PyTorch in 2018. That history explains why Caffe appears as a plausible distractor but is not the answer.
In 2022, Meta announced that PyTorch would be governed by the independent PyTorch Foundation under the Linux Foundation. PyTorch remains widely used for neural networks, computer vision, natural-language processing, and generative AI.