torch::deploy (multipy for non-torch uses) is a system that lets you get around the GIL problem by running multiple Python interpreters in a single C++ process.
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Switch to the standard setup-nvidia GitHub action #264
As all PyTorch repos are now running on share runners as part of project Nova. We need to avoid code duplication when copying install_nvidia_utils_linux.sh and older NVIDIA driver by switching reusable setup-nvidia from test-infra repo.
For the context, I'm currently seeing some NVIDIA installation failures from PyTorch where the older driver 510.60.02 is used, so I'm trying to roll out this new GitHub action to avoid this:
As all PyTorch repos are now running on share runners as part of project Nova. We need to avoid code duplication when copying
install_nvidia_utils_linux.sh
and older NVIDIA driver by switching reusable setup-nvidia from test-infra repo.For the context, I'm currently seeing some NVIDIA installation failures from PyTorch where the older driver
510.60.02
is used, so I'm trying to roll out this new GitHub action to avoid this: