fix failing flaky tests due to pytorch library not available for dependency plugins

[rbhavna]

Description

There are flaky tests failing on neural search plugin that need a deployed model to be used. But the pytorch model is failing to deploy due to EngineException failure with the error "Failed to load PyTorch native library".

Since pytorch-engine can load older version of pytorch native library, it could be possible a different version is being loaded than the expected one "pytorch-engine-0.21.0.jar". Here, we are explicitly specifying the required package version to override it to resolve the issue.

Issues Resolved

Fixes the flaky test: #1843

Check List

• New functionality includes testing.
  • All tests pass
• New functionality has been documented.
  • New functionality has javadoc added
• Commits are signed per the DCO using --signoff

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.
For more information on following Developer Certificate of Origin and signing off your commits, please check here.

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Comparison is base (38c71c6) 82.61% compared to head (6131325) 82.61%.

Additional details and impacted files

@@            Coverage Diff            @@
##               main    #1876   +/-   ##
=========================================
  Coverage     82.61%   82.61%           
+ Complexity     5389     5388    -1     
=========================================
  Files           521      521           
  Lines         21714    21714           
  Branches       2211     2211           
=========================================
  Hits          17940    17940           
+ Misses         2876     2875    -1     
- Partials        898      899    +1     

Flag	Coverage Δ
ml-commons	82.61% <ø> (ø)

Flags with carried forward coverage won't be shown. Click here to find out more.

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.