require('torch>=1.9.0', 'https://pytorch.org/get-started/locally/')

add_code_sample_docstrings( processor_class=_TOKENIZER_FOR_DOC, checkpoint=_CHECKPOINT_FOR_DOC

gt_instances.deleter

gt_label.deleter

gt_panoptic_seg.deleter

gt_sem_seg.deleter

ignored_instances.deleter

pred_feature.deleter

pred_instances.deleter

pred_panoptic_seg.deleter

pred_sem_seg.deleter

pred_track_instances.deleter

proposals.deleter

patch('mmengine.dist.get_dist_info', return_value=(0, 1))

patch('mmengine.dist.get_dist_info', return_value=(7, 8))

patch('torch.__version__', torch_version)

pytest.mark.parametrize('input_shape', [(10, 5), (3, 5, 40, 40)])

pytest.mark.parametrize('input_shape', [(10, 4), (0, 4)])

patch('torch.__version__', torch_version)

patch( 'mmdet.engine.hooks.sync_norm_hook.get_dist_info', return_value=(0, 2))

patch( 'mmdet.engine.hooks.sync_norm_hook.get_dist_info', return_value=(0, 2))

patch( 'mmdet.engine.hooks.sync_norm_hook.get_dist_info', return_value=(0, 1))

pytest.mark.parametrize('input_shape', [(10, 5), (0, 5)])

mock.patch('mmengine.infer.infer._load_checkpoint', return_value=None)

patch('mmdet.engine.hooks.yolox_mode_switch_hook.is_model_wrapper')

patch('mmdet.engine.hooks.yolox_mode_switch_hook.is_model_wrapper')

mock.patch('mmengine.infer.infer._load_checkpoint', return_value=None)

pytest.mark.parametrize('input_shape', [(10, 4), (0, 4)])

video_data_samples.deleter