PyTorch 2.0
>Python 3.11 support on Anaconda Platform>Due to lack of Python 3.11 support for packages that PyTorch depends on, including NumPy, SciPy, SymPy, Pillow and others on the Anaconda platform. We will not be releasing Conda binaries compiled with Python 3.11 for PyTorch Release 2.0. The Pip packages with Python 3.11 support will be released, hence if you intend to use PyTorch 2.0 with Python 3.11 please use our Pip packages.It really sucks that anaconda always lags behind. I know the reasoning*, and I know it makes sense for what a lot of teams use it for... but on our side we are now looking more and more into dropping it since we are more of an R&D team. We already use containers for most of our pipelines, so just using pip might be viable.*Though I guess Anaconda chewed more than it can handle w.r.t managing an entire Python universe, and keeping up to date. Conda-forge is already almost a requirement but using the official package (with pip, in this case) has its own benefits for very complex packages like pytorch.