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As some of you might be aware, since CPython 3.13, there is experimental support for an alternative interpreter distribution (via PEP703) that disables the GIL altogether, thus enabling support for real thread parallelism.
Since PyTorch now supports free-threaded wheel distributions (pytorch/pytorch#130249), it should be easy producing wheels for fairscale as well.
In order to provide free-threaded wheels, there is a need for extensive testing, which can be summarized in performing the following tasks:
As some of you might be aware, since CPython 3.13, there is experimental support for an alternative interpreter distribution (via PEP703) that disables the GIL altogether, thus enabling support for real thread parallelism.
Since PyTorch now supports free-threaded wheel distributions (pytorch/pytorch#130249), it should be easy producing wheels for fairscale as well.
In order to provide free-threaded wheels, there is a need for extensive testing, which can be summarized in performing the following tasks:
I can volunteer in taking charge of these tasks if necessary