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Is your feature request related to a problem? Please describe.
We need faster turnaround time on PRs being validated in CI. Right now builds take 20mins + 40min - 1.5hrs for tests to run assuming full runner availability
Describe the solution you'd like
We want a subset of tests that will return results in less than one 1hr that will check the key configurations of Torch-TensorRT
Python 3.12 (or latest Ubuntu LTS py version) + latest cuda (cu128) + x86-64 linux only
1 job that takes 20mins
sub 30m allocated for min-spanning test set (i.e. a set of tests that will exercise critical parts of the library)
We can also use this workflow template to test edge case configs i.e python 3.13 or cuda 13
Note this set is not sufficient to merge a PR, just to give devs feedback quick. All tests in Build-Test [Linux/Windows] must pass for a PR to merge.
Describe alternatives you've considered
Additional context
The text was updated successfully, but these errors were encountered:
Is your feature request related to a problem? Please describe.
We need faster turnaround time on PRs being validated in CI. Right now builds take 20mins + 40min - 1.5hrs for tests to run assuming full runner availability
Describe the solution you'd like
We want a subset of tests that will return results in less than one 1hr that will check the key configurations of Torch-TensorRT
We can also use this workflow template to test edge case configs i.e python 3.13 or cuda 13
Note this set is not sufficient to merge a PR, just to give devs feedback quick. All tests in Build-Test [Linux/Windows] must pass for a PR to merge.
Describe alternatives you've considered
Additional context
The text was updated successfully, but these errors were encountered: