src/ndl_layout/mmdetection/tests/test_models/test_loss.py

import pytest
import torch

from mmdet.models.losses import (BoundedIoULoss, CIoULoss, DIoULoss, GIoULoss,
                                 IoULoss)


@pytest.mark.parametrize(
    'loss_class', [IoULoss, BoundedIoULoss, GIoULoss, DIoULoss, CIoULoss])
def test_iou_type_loss_zeros_weight(loss_class):
    pred = torch.rand((10, 4))
    target = torch.rand((10, 4))
    weight = torch.zeros(10)

    loss = loss_class()(pred, target, weight)
    assert loss == 0.