The installed packages section for the task contains the following:
` # Python 3.8.12 (default, Oct 12 2021, 13:49:34) [GCC 7.5.0]

Flask == 2.0.2
clearml == 1.3.0
more_itertools == 8.12.0
nltk == 3.6.7
numpy == 1.21.3
pytorch_lightning == 1.5.10
scikit_learn == 1.0.1
tensorboard == 2.7.0
torch == 1.11.0+cu113
torchmetrics == 0.7.2
tqdm == 4.62.3
transformers == 4.12.2 `
Only thing that looks different is that the torch line has changed from a URL, so somehow that URL is being generated within ClearML from this list?

The original task is being executed from an Ubuntu installation running on an x86 Ryzen 7 processor, no Mac M1 or other arm processor is or has ever been involved with this, which is why I find this so odd.

Pip freeze returns a very long list, as seen here: https://pastebin.com/gGKF123S
So it seems ClearML is selectively choosing only the required subset of the full env to install on the remote instance.

Finally, the agent is running in Ubuntu on an Intel Xeon server, in venv mode.

Thanks for your help, I hope this isn't some stupid mistake on my part, but I've been wracking my brain for a couple hours now.