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import sys
from pathlib import Path
import pytest
import torch
from hydra import compose, initialize
project_root = Path(__file__).resolve().parent.parent.parent
sys.path.append(str(project_root))
from yolo.utils.loss import YOLOLoss
@pytest.fixture
def cfg():
with initialize(config_path="../../yolo/config", version_base=None):
cfg = compose(config_name="config")
return cfg
@pytest.fixture
def loss_function(cfg) -> YOLOLoss:
return YOLOLoss(cfg)
@pytest.fixture
def data():
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
targets = torch.zeros(20, 6, device=device)
predicts = [[torch.zeros(1, 144, 80 // i, 80 // i, device=device) for i in [1, 2, 4]] for _ in range(2)]
return predicts, targets
def test_yolo_loss(loss_function, data):
predicts, targets = data
loss_iou, loss_dfl, loss_cls = loss_function(predicts, targets)
assert torch.isnan(loss_iou)
assert torch.isnan(loss_dfl)
assert torch.isinf(loss_cls)
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