Update dependency torch to v2.1.1 - autoclosed

[renovate]

This PR contains the following updates:

Package	Change	Age	Adoption	Passing	Confidence
torch	2.0.0 -> 2.1.1

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[rashley-iqt]

This issue stems from a difference in how pytorch and poetry are handling metadata in accordance with PEP 658.

Pytorch is currently packaged with per artifact metadata which breaks poetry's locking mechanism.

There seems to be a tentative agreement on how to solve the issue but it does not seem to be currently implemented in pytorch's build process. Until this is resolved we can:

• reject pytorch versions greater than 2.0.0
• use poetry's export command to generate a requirements.txt file and install dependencies using pip

The first option is the simplest, but is unsustainable in the longer term. The second option will require a non-trivial effort to re-engineer our workflows and containers. We could conceivably set the workflows and docker builds up to look for an exception in the poetry build and then fall back to generating and then installing from a requirements.txt file, but i don't like that pattern as it will still leave broken installs for users of poetry virtual environments. If this continues to be an issue we may need to look for an alternate packaging mechanism.

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Comparison is base (b764101) 64.32% compared to head (d9f96bc) 64.32%.

Additional details and impacted files

@@           Coverage Diff           @@
##             main     #329   +/-   ##
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  Coverage   64.32%   64.32%           
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  Files          32       32           
  Lines        3964     3964           
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  Hits         2550     2550           
  Misses       1414     1414           

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