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52 lines
1.3 KiB
Python
52 lines
1.3 KiB
Python
import os
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from pathlib import Path
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import torch
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from pytest import fixture
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PARENT_PATH = Path(__file__).parent
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collect_ignore = ["weights", "repos", "datasets"]
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collect_ignore_glob = ["*_ref"]
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@fixture(scope="session")
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def test_device() -> torch.device:
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test_device = os.getenv("REFINERS_TEST_DEVICE")
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if not test_device:
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return torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
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return torch.device(test_device)
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@fixture(scope="session")
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def test_weights_path() -> Path:
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from_env = os.getenv("REFINERS_TEST_WEIGHTS_DIR")
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return Path(from_env) if from_env else PARENT_PATH / "weights"
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@fixture(scope="session")
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def test_datasets_path() -> Path:
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from_env = os.getenv("REFINERS_TEST_DATASETS_DIR")
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return Path(from_env) if from_env else PARENT_PATH / "datasets"
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@fixture(scope="session")
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def test_repos_path() -> Path:
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from_env = os.getenv("REFINERS_TEST_REPOS_DIR")
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return Path(from_env) if from_env else PARENT_PATH / "repos"
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@fixture(scope="session")
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def test_e2e_path() -> Path:
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return PARENT_PATH / "e2e"
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@fixture(scope="session")
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def test_textual_inversion_path() -> Path:
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return PARENT_PATH / "foundationals" / "clip" / "test_concepts_ref"
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@fixture(scope="session")
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def test_sam_path() -> Path:
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return PARENT_PATH / "foundationals" / "segment_anything"
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