vllm-project--vllm-omni
wehub-resource-sync
76 行
3.1 KiB
Python
76 行
3.1 KiB
Python
"""
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Analogous to test_common_offline, but for server tests. Validates the full
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online serving stack (CLI arg parsing, subprocess, API routing, response
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encoding) using tiny models.
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"""
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import pytest
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from tests.helpers.runtime import OmniServer, OpenAIClientHandler
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from tests.model_tests.diffusion.case_filtering import get_parametrized_options
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from tests.model_tests.diffusion.config_types import (
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DiffusionAccs,
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DiffusionTasks,
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build_server_args_from_diff_accelerations,
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)
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from tests.model_tests.diffusion.model_settings import DIFFUSION_TEST_SETTINGS
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from tests.model_tests.diffusion.task_runners import (
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run_and_validate_online_image_to_image_request,
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run_and_validate_online_text_to_image_determinism,
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run_and_validate_online_text_to_image_multi_output,
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run_and_validate_online_text_to_image_request,
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)
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# NOTE : Hardware marks are added dynamically based on test requirements
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pytestmark = [pytest.mark.diffusion]
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@pytest.mark.parametrize(
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"model_name,accelerations,supported_tasks,check_multioutput,check_determinism",
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get_parametrized_options(DIFFUSION_TEST_SETTINGS, online=True),
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)
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def test_online_on_supported_tasks(
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model_name: str,
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accelerations: list[DiffusionAccs] | None,
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supported_tasks: list[DiffusionTasks],
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check_multioutput: bool,
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check_determinism: bool,
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tiny_model_paths: dict[str, str],
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run_level: str,
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subtests,
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):
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"""Smoke test: start a tiny model server and run each supported task via the API."""
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model_path = tiny_model_paths[model_name]
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server_args = build_server_args_from_diff_accelerations(accelerations)
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server_args.append("--enforce-eager")
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with OmniServer(model_path, server_args) as server:
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# TODO: We may want to revisit run_level validation here,
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# because checks for things like image size etc should not
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# depend on whether or not the weights are real or random
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client = OpenAIClientHandler(
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host=server.host,
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port=server.port,
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api_key="EMPTY",
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run_level=run_level,
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log_stats=server.log_stats,
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)
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for task_type in supported_tasks:
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with subtests.test(msg=task_type):
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if task_type == DiffusionTasks.TEXT_TO_IMAGE:
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run_and_validate_online_text_to_image_request(server, client)
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elif task_type == DiffusionTasks.IMAGE_TO_IMAGE:
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run_and_validate_online_image_to_image_request(server, client)
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else:
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raise ValueError(f"Task type {task_type} is not yet supported")
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# NOTE: For now, we only check determinism + multi output for the base case,
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# since checking it on every extra acceleration configuration is redundant
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# (see case_filtering).
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if check_determinism:
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with subtests.test(msg="determinism"):
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run_and_validate_online_text_to_image_determinism(server, client)
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if check_multioutput:
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with subtests.test(msg="multi_output"):
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run_and_validate_online_text_to_image_multi_output(server, client)
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