Best Python code snippet using lisa_python
test.py
Source:test.py
...34 if cfg.TEST.WORKERS > 0:35 torch.multiprocessing.set_start_method("spawn", force=True)36 _, weights, _, _, _ = load_checkpoint(checkpoint, device)37 model = get_model(cfg, device)38 if get_gpu_count(cfg, mode="train") > 1 and get_gpu_count(cfg, mode="test") == 1:39 weights = rename_ordered_dict_from_parallel(weights)40 if get_gpu_count(cfg, mode="train") == 1 and get_gpu_count(cfg, mode="test") > 1:41 weights = rename_ordered_dict_to_parallel(weights)42 model.load_state_dict(weights)43 criterion = get_loss(cfg)44 dataloader = get_dataloader(cfg, "test")45 mask_config = load_yaml(cfg.DATASET.MASK.CONFIG)46 metrics = model_validation(model, criterion, dataloader, return_ave=False)47 print(f"Loss on test set: {metrics['val_loss']}")48 labels = [mask_config["class2label"][i] for i in sorted(mask_config["class2label"])]49 metrics_df = pd.DataFrame(50 {51 "recall": metrics["recall"],52 "precision": metrics["precision"],53 "f1": metrics["f1"],54 },...
test_initialize_paddle_driver.py
Source:test_initialize_paddle_driver.py
...46 assert isinstance(driver, PaddleFleetDriver)47@pytest.mark.paddle48@pytest.mark.parametrize(49 "device", 50 [-2, [0, get_gpu_count() + 1, 3], [-2], get_gpu_count() + 1]51)52@magic_argv_env_context53def test_device_out_of_range(device):54 """55 æµè¯ä¼ å
¥çdeviceè¶
è¿èå´çæ
åµ56 """57 model = PaddleNormalModel_Classification_1(20, 10)58 with pytest.raises(ValueError):...
conftest.py
Source:conftest.py
...3def require_gpu():4 import os5 from pyspec.machine.util.gpu import get_gpu_count6 # tests should always run on the last GPU!7 if get_gpu_count() > 1:8 print("configure tests to run on last GPU, since several are available: {}".format(get_gpu_count()))9 os.environ['CUDA_VISIBLE_DEVICES'] = "{}".format(get_gpu_count() - 1)10 else:...
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