vllm-project--vllm-omni
44 行
1.4 KiB
Python
44 行
1.4 KiB
Python
"""
|
|
Offline inference tests: text-to-image.
|
|
See examples/offline_inference/text_to_image/README.md
|
|
"""
|
|
|
|
from pathlib import Path
|
|
|
|
import pytest
|
|
|
|
from tests.examples.helpers import EXAMPLES, ExampleRunner, ReadmeSnippet
|
|
from tests.helpers.assertions import assert_image_valid
|
|
from tests.helpers.mark import hardware_marks
|
|
|
|
pytestmark = [
|
|
pytest.mark.usefixtures("clean_gpu_memory_between_tests"),
|
|
pytest.mark.full_model,
|
|
pytest.mark.example,
|
|
*hardware_marks(res={"cuda": "H100"}),
|
|
]
|
|
|
|
T2I_SCRIPT = EXAMPLES / "offline_inference" / "text_to_image" / "text_to_image.py"
|
|
README_PATH = T2I_SCRIPT.with_name("README.md")
|
|
EXAMPLE_OUTPUT_SUBFOLDER = "example_offline_t2i"
|
|
|
|
|
|
def _skip_readme_snippet(language: str, code: str, h2_title: str) -> tuple[bool, str]:
|
|
if h2_title == "Web UI Demo":
|
|
return True, f"README section '{h2_title}' is intentionally excluded for examples tests"
|
|
return False, ""
|
|
|
|
|
|
README_SNIPPETS = ReadmeSnippet.extract_readme_snippets(README_PATH, skipif=_skip_readme_snippet)
|
|
|
|
|
|
@pytest.mark.parametrize("snippet", README_SNIPPETS, ids=lambda snippet: snippet.test_id)
|
|
def test_text_to_image(snippet: ReadmeSnippet, example_runner: ExampleRunner):
|
|
should_skip, reason = snippet.skip
|
|
if should_skip:
|
|
pytest.skip(reason)
|
|
|
|
result = example_runner.run(snippet, output_subfolder=Path(EXAMPLE_OUTPUT_SUBFOLDER))
|
|
for asset in result.assets:
|
|
assert_image_valid(asset)
|