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test: Add RHEL tutorial validation tests - #8998
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qa/L0_rhel_tutorial_cpu and qa/L0_rhel_tutorial_gpu are the RHEL/manylinux tutorial's Step 4 checks: each test.sh builds its models, serves them from the image the tutorial built, and runs a pytest suite.
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What does the PR do?
Adds
qa/L0_rhel_tutorial_cpuandqa/L0_rhel_tutorial_gpu, the Step 4 checks of the RHEL/manylinux build tutorial (tutorials repo,Build_Guide/RHEL_Manylinux) as qa tests. Eachtest.shwrites its models, startstritonserverfrom the image the tutorial built, and runs a small pytest suite against it:L0_rhel_tutorial_cpu:add_py(python backend) andadd_onnx(onnxruntime backend) on CPU.L0_rhel_tutorial_gpu:add_torch(pytorch backend, TorchScript) on GPU.The models are generated in-test, so the tests need nothing from
/data/inferenceserver. They are meant to run inside the tutorial's images, where the server and backends come frombuild.py --target-platform=rhel, rather than in the standard QA image.Note that previously these tests were shell scripts and lived in the
tritonserverGitLab repository with CI. This change moves them into our public server repository and opportunistically converts the shell scripts into PyTest tests, still invoked throughtest.sh.Checklist
<commit_type>: <Title>Commit Type:
Related PRs:
Where should the reviewer start?
qa/L0_rhel_tutorial_cpu/test.shandqa/L0_rhel_tutorial_cpu/rhel_tutorial_test.py;the gpu directory mirrors them with one model.
Test plan:
Validated in CI: https://gitlab-master.nvidia.com/dl/dgx/tritonserver/-/pipelines/72033659