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additional context: poetry fetches dependency info differently than pip would; the torch team uploaded distributions to pypi in such a way that breaks for poetry but not pip. It seems like is only a problem on linux when using poetry to install from pypi. The easiest thing for us to do is likely to just skip 2.0.1.
* Adds ETE test of Garden
* Adds skinny or full versions of the test
* Adds workflow files to run skinny and full versions on github actions
* Adds slack monitoring system if workflow fails
* Fixes (#212) (#213)
Currently when trying to register torch models on ubuntu actions, Garden breaks with the error:
ValueError: libnvrtc.so.*[0-9].*[0-9] not found in the system path
This is due to torch 2.0.1 failing to install its cuda dependencies when installed with poetry on GPU enabled machines.
Assumptions
Acceptance Criteria
Change the version for torch in poetry so it skips 2.0.1
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