AdventurousButterfly15

Despite having manually installed this torch version, during task execution agent still tries to install it somehow and fails:

Are you running the agent in venv mode? or docker mode?
Notice that in docker mode it inherits the python packages from the container, and adds/reinstalls missing packages. In venv mode it creates a New clean venv (there is no way to inherit a venv, venv can only inherit from system wide installed packages)

The idea is that you cannot expect all jobs to use the exact same setup, so the agent takes care of it, make sense? Which of the two setups (venv/docker) is more suitable for you?