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73 lines
2.5 KiB
Python
73 lines
2.5 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 ..conftest import get_provider_fixture_overrides, get_test_config_for_api
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from .fixtures import INFERENCE_FIXTURES
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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("markers", f"{model}: mark test to run only with the given model")
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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("meta-llama/Llama-3.1-8B-Instruct", marks=pytest.mark.llama_8b, id="llama_8b"),
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pytest.param("meta-llama/Llama-3.2-3B-Instruct", marks=pytest.mark.llama_3b, id="llama_3b"),
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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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test_config = get_test_config_for_api(metafunc.config, "inference")
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if "inference_model" in metafunc.fixturenames:
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cls_name = metafunc.cls.__name__
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params = []
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inference_models = getattr(test_config, "inference_models", [])
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for model in inference_models:
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if ("Vision" in cls_name and "Vision" in model) or ("Vision" not in cls_name and "Vision" not in model):
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params.append(pytest.param(model, id=model))
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if not params:
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model = metafunc.config.getoption("--inference-model")
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params = [pytest.param(model, id=model)]
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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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fixtures = INFERENCE_FIXTURES
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if filtered_stacks := get_provider_fixture_overrides(
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metafunc.config,
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{
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"inference": INFERENCE_FIXTURES,
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},
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):
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fixtures = [stack.values[0]["inference"] for stack in filtered_stacks]
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if test_config:
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if custom_fixtures := [
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(scenario.fixture_combo_id or scenario.provider_fixtures.get("inference"))
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for scenario in test_config.scenarios
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]:
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fixtures = custom_fixtures
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metafunc.parametrize("inference_stack", fixtures, indirect=True)
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