PyTorch 2.0 release accelerates open-source machine learning

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Chintala emphasized that now is the right time for PyTorch 2.0 because the project is introducing an additional new paradigm in the PyTorch user experience, called torch.compile, that brings solid speedups to users that weren’t possible in the default eager mode of PyTorch 1.0. Today, PyTorch developers took the next major step forward for PyTorch, announcing the first experimental release of PyTorch 2.0. He explained that on about 160 open-source models on which the PyTorch project validated early builds of 2.0, there has been a 43% speedup and they worked reliably with the one-line addition to the codebase.

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