NLag
refactor: update artifact URLs and improve router device handling for better classification performance
c8f5fea | from __future__ import annotations | |
| import os | |
| import sys | |
| from pathlib import Path | |
| import unittest | |
| from unittest.mock import patch | |
| sys.path.insert(0, str(Path(__file__).resolve().parents[1] / "src")) | |
| from pozify.hf_spaces import router_torch_device, zero_gpu_enabled | |
| class HfSpacesRuntimeTests(unittest.TestCase): | |
| def test_cpu_is_default_runtime_device(self) -> None: | |
| with patch.dict(os.environ, {}, clear=True): | |
| self.assertFalse(zero_gpu_enabled()) | |
| self.assertEqual(router_torch_device(), "cpu") | |
| def test_zero_gpu_keeps_router_on_cpu_by_default(self) -> None: | |
| with patch.dict(os.environ, {"SPACES_ZERO_GPU": "1"}, clear=True): | |
| self.assertTrue(zero_gpu_enabled()) | |
| self.assertEqual(router_torch_device(), "cpu") | |
| def test_explicit_router_device_overrides_default(self) -> None: | |
| with patch.dict( | |
| os.environ, | |
| {"SPACES_ZERO_GPU": "1", "POZIFY_ROUTER_DEVICE": "cuda"}, | |
| clear=True, | |
| ): | |
| self.assertEqual(router_torch_device(), "cuda") | |
| if __name__ == "__main__": | |
| unittest.main() | |