forked from phoenix-oss/llama-stack-mirror
77 lines
2.1 KiB
Python
77 lines
2.1 KiB
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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import pytest
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from .fixtures import INFERENCE_FIXTURES
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def pytest_addoption(parser):
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parser.addoption(
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"--inference-model",
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action="store",
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default=None,
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help="Specify the inference model to use for testing",
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)
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def pytest_configure(config):
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for model in ["llama_8b", "llama_3b", "llama_vision"]:
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config.addinivalue_line(
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"markers", f"{model}: mark test to run only with the given model"
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)
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for fixture_name in INFERENCE_FIXTURES:
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config.addinivalue_line(
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"markers",
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f"{fixture_name}: marks tests as {fixture_name} specific",
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)
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MODEL_PARAMS = [
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pytest.param(
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"meta-llama/Llama-3.1-8B-Instruct", marks=pytest.mark.llama_8b, id="llama_8b"
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),
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pytest.param(
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"meta-llama/Llama-3.2-3B-Instruct", marks=pytest.mark.llama_3b, id="llama_3b"
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),
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]
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VISION_MODEL_PARAMS = [
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pytest.param(
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"Llama3.2-11B-Vision-Instruct",
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marks=pytest.mark.llama_vision,
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id="llama_vision",
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),
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]
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def pytest_generate_tests(metafunc):
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if "inference_model" in metafunc.fixturenames:
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model = metafunc.config.getoption("--inference-model")
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if model:
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params = [pytest.param(model, id="")]
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else:
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cls_name = metafunc.cls.__name__
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if "Vision" in cls_name:
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params = VISION_MODEL_PARAMS
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else:
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params = MODEL_PARAMS
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metafunc.parametrize(
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"inference_model",
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params,
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indirect=True,
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)
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if "inference_stack" in metafunc.fixturenames:
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metafunc.parametrize(
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"inference_stack",
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[
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pytest.param(fixture_name, marks=getattr(pytest.mark, fixture_name))
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for fixture_name in INFERENCE_FIXTURES
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],
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indirect=True,
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)
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