forked from phoenix-oss/llama-stack-mirror
41487e6ed1
# What does this PR do? - remove model registration & parameterize model in scoring/eval pytests ## Test Plan ``` pytest -v -s -m meta_reference_eval_together_inference eval/test_eval.py pytest -v -s -m meta_reference_eval_together_inference_huggingface_datasetio eval/test_eval.py ``` ``` pytest -v -s -m llm_as_judge_scoring_together_inference scoring/test_scoring.py --judge-model meta-llama/Llama-3.2-3B-Instruct pytest -v -s -m basic_scoring_together_inference scoring/test_scoring.py ``` <img width="860" alt="image" src="https://github.com/user-attachments/assets/d4b0badc-da34-4097-9b7c-9511f8261723" /> ## 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.
78 lines
1.9 KiB
Python
78 lines
1.9 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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import pytest_asyncio
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from llama_stack.distribution.datatypes import Api, ModelInput, Provider
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from llama_stack.providers.tests.resolver import construct_stack_for_test
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from ..conftest import ProviderFixture, remote_stack_fixture
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@pytest.fixture(scope="session")
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def eval_remote() -> ProviderFixture:
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return remote_stack_fixture()
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@pytest.fixture(scope="session")
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def eval_meta_reference() -> ProviderFixture:
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return ProviderFixture(
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providers=[
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Provider(
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provider_id="meta-reference",
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provider_type="inline::meta-reference",
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config={},
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)
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],
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)
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EVAL_FIXTURES = ["meta_reference", "remote"]
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@pytest_asyncio.fixture(scope="session")
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async def eval_stack(request, inference_model, judge_model):
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fixture_dict = request.param
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providers = {}
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provider_data = {}
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for key in [
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"datasetio",
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"eval",
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"scoring",
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"inference",
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"agents",
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"safety",
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"memory",
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]:
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fixture = request.getfixturevalue(f"{key}_{fixture_dict[key]}")
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providers[key] = fixture.providers
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if fixture.provider_data:
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provider_data.update(fixture.provider_data)
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test_stack = await construct_stack_for_test(
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[
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Api.eval,
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Api.datasetio,
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Api.inference,
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Api.scoring,
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Api.agents,
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Api.safety,
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Api.memory,
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],
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providers,
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provider_data,
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models=[
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ModelInput(model_id=model)
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for model in [
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inference_model,
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judge_model,
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]
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],
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)
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return test_stack.impls
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