OrderedDict([('sys.platform', 'linux'), ('Python', '3.9.0 (default, Nov 15 2020, 14:28:56) [GCC 7.3.0]'), ('CUDA available', True), ('MUSA available', False), ('numpy_random_seed
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1.13.0+cu117'), ('PyTorch compiling details', 'PyTorch built with:\n  - GCC 9.3\n  - C++ Version: 201402\n  - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122
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def forward(self, batch_inputs: Tensor,
             batch_data_samples: Optional[list] = None,
             mode: str = 'tensor') -> Union[Dict[str, Tensor], list]:
     output_type = 'last_hidden_state' if not self.with_pooler else 'pooler_output'
     img_features = self.model(batch_inputs)[output_type]
     return {'train_features': img_features, 'cache_keys': batch_data_samples}

File "/home/victor-ho/CV/yolo_w_adap/YOLO-World/tools/temp.py", line 68, in <module>
    main()
  File "/home/victor-ho/CV/yolo_w_adap/YOLO-World/tools/temp.py", line 45, in main
    runner.test()
  File "/home/victor-ho/miniconda3/envs/yolo-w/lib/python3.9/site-packages/mmengine/runner/runner.py", line 1823, in test
    metrics = self.test_loop.run()  # type: ignore
  File "/home/victor-ho/miniconda3/envs/yolo-w/lib/python3.9/site-packages/mmengine/runner/loops.py", line 463, in run
    self.run_iter(idx, data_batch)
  File "/home/victor-ho/miniconda3/envs/yolo-w/lib/python3.9/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
    return func(*args, **kwargs)
  File "/home/victor-ho/miniconda3/envs/yolo-w/lib/python3.9/site-packages/mmengine/runner/loops.py", line 489, in run_iter
    outputs, self.test_loss = _update_losses(outputs, self.test_loss)
  File "/home/victor-ho/miniconda3/envs/yolo-w/lib/python3.9/site-packages/mmengine/runner/loops.py", line 535, in _update_losses
    if isinstance(outputs[-1],
KeyError: -1