Exporting to ONNX failed

Hey guys, when trying to export to the ONNX format, I'm getting an error
```shell
PyTorch: starting from weights/esod_yolov8m.pt (267.6 MB)
ONNX: starting export with onnx 1.17.0...
/data/lh/projects/esod/models/common.py:328: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
assert c == self.c, f'{c} - {self.c}'
/data/lh/projects/esod/models/common.py:331: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
if torch.max(mask_pred) > 1. or torch.min(mask_pred) < 0.:
/data/lh/projects/esod/utils/general.py:304: TracerWarning: Converting a tensor to a Python float might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
return math.ceil(x / divisor) * divisor
/data/lh/projects/esod/models/common.py:469: TracerWarning: Converting a tensor to a Python float might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
ratio_x, ratio_y = int(math.ceil(width / cluster_w)), int(math.ceil(height / cluster_h))
/data/lh/projects/esod/models/common.py:473: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
if getattr(self, 'grid_vtx', None) is None or self.grid_vtx.size(0) != ratio_x*ratio_y*bs:
/data/lh/miniforge3/envs/esod/lib/python3.8/site-packages/torch/tensor.py:587: RuntimeWarning: Iterating over a tensor might cause the trace to be incorrect. Passing a tensor of different shape won't change the number of iterations executed (and might lead to errors or silently give incorrect results).
warnings.warn('Iterating over a tensor might cause the trace to be incorrect. '
/data/lh/projects/esod/models/common.py:480: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
if getattr(self, 'grid', None) is None or self.grid[0].shape[-1] != cluster_h*cluster_w:
/data/lh/projects/esod/models/common.py:489: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
if (~obj_centers).all():
ONNX: export failure: Only tuples, lists and Variables are supported as JIT inputs/outputs. Dictionaries and strings are also accepted, but their usage is not recommended. Here, received an input of unsupported type: NoneType
```
anyone knows how to fix it?

Start by reproducing the ONNX export failure for weights/esod_yolov8m.pt and inspect the export entry point that reports the NoneType JIT input error. Review the referenced code in models/common.py and utils/general.py, then verify that export completes without the reported failure and that the resulting ONNX model can be produced.

Written by the indexing model from the issue text.