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Rebase latest changes
Signed-off-by: ajrasane <[email protected]>
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.gitlab/tests.yml

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example-onnx-bash:
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extends: .tests-default
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timeout: 90m
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image: nvcr.io/nvidia/pytorch:25.08-py3
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variables:
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GIT_DEPTH: 1000 # For correct version for tests/gpu/torch/quantization/plugins/test_megatron.py
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tags: [docker, linux, 2-gpu]
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before_script:
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# Add libcudnn*.so and libnv*.so to path
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- export LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/usr/include:/usr/lib/x86_64-linux-gnu"
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# Install git-lfs for Daring-Anteater dataset
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- apt-get update && apt-get install -y git-lfs
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- git lfs install --system
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multi-gpu:
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extends: .multi-gpu-tests-default
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script:
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# Use pre-installed packages without a new venv with tox-current-env
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- pip install tox-current-env
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- tox -e py312-cuda12-gpu --current-env
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##### Example Tests #####
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example-torch:
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extends: .multi-gpu-tests-default
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timeout: 30m
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parallel:
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matrix:
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- EXAMPLE: [llm_distill, llm_qat, llm_sparsity, speculative_decoding]
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script:
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- pip install ".[hf,dev-test]"
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- find examples/$EXAMPLE -name "requirements.txt" | while read req_file; do pip install -r "$req_file" || exit 1; done
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- pytest -s tests/examples/$EXAMPLE
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example-trtllm:
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extends: example-torch
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timeout: 60m
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image: nvcr.io/nvidia/tensorrt-llm/release:1.1.0rc2.post2
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tags: [docker, linux, 2-gpu, sm>=89]
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parallel:
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matrix:
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- EXAMPLE: [llm_autodeploy, llm_eval, llm_ptq, vlm_ptq]
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example-onnx:
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extends: example-torch
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image: nvcr.io/nvidia/tensorrt:25.06-py3
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image: nvcr.io/nvidia/tensorrt:25.08-py3
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tags: [docker, linux, 2-gpu, sm>=89]
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parallel:
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matrix:

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