Files
2026-07-26 09:07:22 -05:00

74 lines
2.3 KiB
Python

from __future__ import annotations
import os
import re
import subprocess
import sys
import tempfile
import unittest
from pathlib import Path
REPO_ROOT = Path(__file__).resolve().parents[1]
RUN_SH = REPO_ROOT / "run.sh"
def _cuda_path_probe() -> str:
source = RUN_SH.read_text(encoding="utf-8")
match = re.search(
r'WHISPER_CUDA_LIBRARY_PATH="\$\("\$\{PY\}" - <<\'PY\'\n(?P<probe>.*?)\nPY\n\)"',
source,
flags=re.DOTALL,
)
if match is None:
raise AssertionError("Could not locate the CUDA library path probe in run.sh")
return match.group("probe")
class RunShCudaLibraryPathTests(unittest.TestCase):
def _run_probe(self, python_path: Path) -> subprocess.CompletedProcess[str]:
env = dict(os.environ)
env["PYTHONPATH"] = str(python_path)
return subprocess.run(
[sys.executable, "-S", "-"],
input=_cuda_path_probe(),
text=True,
capture_output=True,
check=False,
env=env,
)
def test_namespace_cuda_packages_do_not_require_module_file(self) -> None:
with tempfile.TemporaryDirectory() as temp_dir:
root = Path(temp_dir)
cublas_lib = root / "nvidia" / "cublas" / "lib"
cudnn_lib = root / "nvidia" / "cudnn" / "lib"
cublas_lib.mkdir(parents=True)
cudnn_lib.mkdir(parents=True)
result = self._run_probe(root)
self.assertEqual(result.returncode, 0, result.stderr)
self.assertEqual(
result.stdout.strip().split(":"),
[str(cublas_lib.resolve()), str(cudnn_lib.resolve())],
)
def test_missing_cuda_packages_return_an_empty_path(self) -> None:
with tempfile.TemporaryDirectory() as temp_dir:
result = self._run_probe(Path(temp_dir))
self.assertEqual(result.returncode, 0, result.stderr)
self.assertEqual(result.stdout.strip(), "")
def test_parakeet_uses_cuda_onnxruntime_package(self) -> None:
source = RUN_SH.read_text(encoding="utf-8")
self.assertIn('"onnx-asr[hub]>=0.12.0"', source)
self.assertIn('"onnxruntime-gpu[cuda,cudnn]<1.27"', source)
self.assertIn('"CUDAExecutionProvider"', source)
if __name__ == "__main__":
unittest.main()