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Meta (formerly known as Facebook) operates both PyTorch and Convolutional Architecture for Fast Feature Embedding ([[Caffe (software)|Caffe2]]), but models defined by the two frameworks were mutually incompatible. The Open Neural Network Exchange ([[Open Neural Network Exchange|ONNX]]) project was created by Meta and [[Microsoft]] in September 2017 for converting models between frameworks. Caffe2 was merged into PyTorch at the end of March 2018.<ref>{{cite web|url=https://medium.com/@Synced/caffe2-merges-with-pytorch-a89c70ad9eb7|title=Caffe2 Merges With PyTorch|date=2018-04-02}}</ref> In September 2022, Meta announced that PyTorch would be governed by the independent PyTorch Foundation, a newly created subsidiary of the [[Linux Foundation]].<ref>{{cite web |url=https://arstechnica.com/information-technology/2022/09/meta-spins-off-pytorch-foundation-to-make-ai-framework-vendor-neutral/ |title=Meta spins off PyTorch Foundation to make AI framework vendor neutral |date=2022-09-12 |website=[[Ars Technica]] |last=Edwards |first=Benj}}</ref>
PyTorch 2.0 was released on 15 March 2023, introducing [[TorchDynamo]], a Python-level [[compiler]] that makes code run up to 2x faster, along with significant improvements in training and inference performance across major [[cloud computing|cloud platforms]].<ref>{{cite web|title=Dynamo Overview| |url=https://pytorch.org/docs/stable/torch.compiler_dynamo_overview.html}}</ref><ref>{{cite news |title=PyTorch 2.0 brings new fire to open-source machine learning |url=https://venturebeat.com/ai/pytorch-2-0-brings-new-fire-to-open-source-machine-learning/ |access-date=16 March 2023 |work=VentureBeat |date=15 March 2023}}</ref>
==PyTorch tensors==
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