forked from phoenix-oss/llama-stack-mirror
f4f47970e5
# What does this PR do? Default inference_model for testing: "meta-llama/Llama-3.1-8B-Instruct" Default vision inference_model for testing: "meta-llama/Llama-3.2-11B-Vision-Instruct" ## Test Plan `/opt/miniconda3/envs/stack/bin/pytest -s -v --inference-model=meta-llama/Llama-3.2-3B-Instruct tests/client-sdk/agents` `/opt/miniconda3/envs/stack/bin/pytest -s -v --embedding-model=all-MiniLM-L6-v2 tests/client-sdk/vector_io` `/opt/miniconda3/envs/stack/bin/pytest -s -v --safety-shield=meta-llama/Llama-Guard-3-1B tests/client-sdk/safety` ## Sources Please link relevant resources if necessary. ## Before submitting - [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case). - [ ] Ran pre-commit to handle lint / formatting issues. - [ ] Read the [contributor guideline](https://github.com/meta-llama/llama-stack/blob/main/CONTRIBUTING.md), Pull Request section? - [ ] Updated relevant documentation. - [ ] Wrote necessary unit or integration tests.
22 lines
635 B
Python
22 lines
635 B
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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def pytest_addoption(parser):
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parser.addoption(
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"--embedding-model",
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action="store",
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default="all-MiniLM-L6-v2",
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help="Specify the embedding model to use for testing",
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)
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def pytest_generate_tests(metafunc):
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if "embedding_model" in metafunc.fixturenames:
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metafunc.parametrize(
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"embedding_model",
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[metafunc.config.getoption("--embedding-model")],
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)
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