[DEBUG] Box Coder Type: <class 'xview3.centernet.bboxer.multilabel_circle_coder.MultilabelCircleNetCoder'>
[DEBUG] Box Coder Methods: ['__class__', '__delattr__', '__dict__', '__dir__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__gt__', '__hash__', '__init__', '__init_subclass__', '__le__', '__lt__', '__module__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__', '__sizeof__', '__str__', '__subclasshook__', '__weakref__', 'confidence_mapping', 'create_box_coder_for_image_size', 'decode', 'encode', 'fishing_mapping', 'fixed_radius', 'from_config', 'generate_yolo_targets', 'heatmap_encoding', 'ignore_low_confidence_detections', 'ignore_value', 'image_height', 'image_size', 'image_width', 'labels_encoding', 'labels_radius', 'length2log', 'log2length', 'max_objects', 'nms_kernel_size', 'nms_method', 'output_stride', 'to_dict', 'vessel_mapping']
[DEBUG] Image shape: (2048, 2048, 2)
[DEBUG] Box Coder: MultilabelCircleNetCoder(image_size=[768, 768], stride=32, max_objects=512, labels_encoding=circle, heatmap_encoding=umich, fixed_radius=2, ignore_index=-1, ignore_low_confidence_detections=False)
Error executing job with overrides: ['+config=configs/multilabel_circle_net.yaml']
Traceback (most recent call last):
  File "/Users/samerkharboush/Downloads/SAR-MPS-OptunaNasFbnYoloTransformers/train_multilabel2.py", line 860, in <module>
    main()
  File "/opt/anaconda3/envs/sam3/lib/python3.9/site-packages/hydra/main.py", line 94, in decorated_main
    _run_hydra(
  File "/opt/anaconda3/envs/sam3/lib/python3.9/site-packages/hydra/_internal/utils.py", line 394, in _run_hydra
    _run_app(
  File "/opt/anaconda3/envs/sam3/lib/python3.9/site-packages/hydra/_internal/utils.py", line 457, in _run_app
    run_and_report(
  File "/opt/anaconda3/envs/sam3/lib/python3.9/site-packages/hydra/_internal/utils.py", line 223, in run_and_report
    raise ex
  File "/opt/anaconda3/envs/sam3/lib/python3.9/site-packages/hydra/_internal/utils.py", line 220, in run_and_report
    return func()
  File "/opt/anaconda3/envs/sam3/lib/python3.9/site-packages/hydra/_internal/utils.py", line 458, in <lambda>
    lambda: hydra.run(
  File "/opt/anaconda3/envs/sam3/lib/python3.9/site-packages/hydra/_internal/hydra.py", line 132, in run
    _ = ret.return_value
  File "/opt/anaconda3/envs/sam3/lib/python3.9/site-packages/hydra/core/utils.py", line 260, in return_value
    raise self._return_value
  File "/opt/anaconda3/envs/sam3/lib/python3.9/site-packages/hydra/core/utils.py", line 186, in run_job
    ret.return_value = task_function(task_cfg)
  File "/Users/samerkharboush/Downloads/SAR-MPS-OptunaNasFbnYoloTransformers/train_multilabel2.py", line 857, in main
    CenternetPipeline(cfg).train()
  File "/Users/samerkharboush/Downloads/SAR-MPS-OptunaNasFbnYoloTransformers/train_multilabel2.py", line 674, in train
    model = self.build_model(config, self.loaders)
  File "/Users/samerkharboush/Downloads/SAR-MPS-OptunaNasFbnYoloTransformers/train_multilabel2.py", line 295, in build_model
    model = nas.search(
  File "/Users/samerkharboush/Downloads/SAR-MPS-OptunaNasFbnYoloTransformers/xview3/nas.py", line 38, in search
    scores = [self.evaluation_function(model, train_loader, val_loader, device) for model in population]
  File "/Users/samerkharboush/Downloads/SAR-MPS-OptunaNasFbnYoloTransformers/xview3/nas.py", line 38, in <listcomp>
    scores = [self.evaluation_function(model, train_loader, val_loader, device) for model in population]
  File "/Users/samerkharboush/Downloads/SAR-MPS-OptunaNasFbnYoloTransformers/train_multilabel2.py", line 558, in evaluate_architecture
    encoded_targets = self.encode_batch_targets(batch, device)
  File "/Users/samerkharboush/Downloads/SAR-MPS-OptunaNasFbnYoloTransformers/train_multilabel2.py", line 613, in encode_batch_targets
    centers = torch.tensor(centers, dtype=torch.float32)
ValueError: only one element tensors can be converted to Python scalars
(sam3) samerkharboush@Samers-MBP SAR-MPS-OptunaNasFbnYoloTransformers %