gistfile1.txt

otImplementedError                       Traceback (most recent call last)
<ipython-input-19-d720bdf83541> in <module>()
     18 trainer.resume_or_load(resume=False)
     19 wandb.watch(trainer.model)
---> 20 trainer.train()

12 frames
/usr/local/lib/python3.6/dist-packages/detectron2/engine/defaults.py in train(self)
    399             OrderedDict of results, if evaluation is enabled. Otherwise None.
    400         """
--> 401         super().train(self.start_iter, self.max_iter)
    402         if len(self.cfg.TEST.EXPECTED_RESULTS) and comm.is_main_process():
    403             assert hasattr(

/usr/local/lib/python3.6/dist-packages/detectron2/engine/train_loop.py in train(self, start_iter, max_iter)
    130                 for self.iter in range(start_iter, max_iter):
    131                     self.before_step()
--> 132                     self.run_step()
    133                     self.after_step()
    134             except Exception:

/usr/local/lib/python3.6/dist-packages/detectron2/engine/train_loop.py in run_step(self)
    213         If you want to do something with the losses, you can wrap the model.
    214         """
--> 215         loss_dict = self.model(data)
    216         losses = sum(loss_dict.values())
    217         self._detect_anomaly(losses, loss_dict)

/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py in __call__(self, *input, **kwargs)
    548             result = self._slow_forward(*input, **kwargs)
    549         else:
--> 550             result = self.forward(*input, **kwargs)
    551         for hook in self._forward_hooks.values():
    552             hook_result = hook(self, input, result)

/usr/local/lib/python3.6/dist-packages/detectron2/modeling/meta_arch/rcnn.py in forward(self, batched_inputs)
    122 
    123         if self.proposal_generator:
--> 124             proposals, proposal_losses = self.proposal_generator(images, features, gt_instances)
    125         else:
    126             assert "proposals" in batched_inputs[0]

/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py in __call__(self, *input, **kwargs)
    550             result = self.forward(*input, **kwargs)
    551         for hook in self._forward_hooks.values():
--> 552             hook_result = hook(self, input, result)
    553             if hook_result is not None:
    554                 result = hook_result

/usr/local/lib/python3.6/dist-packages/wandb/wandb_torch.py in after_forward_hook(module, input, output)
    308                 name=name,
    309                 class_name=str(module),
--> 310                 output_shape=nested_shape(output),
    311                 parameters=parameters,
    312                 num_parameters=[reduce(mul, size, 1)

/usr/local/lib/python3.6/dist-packages/wandb/wandb_torch.py in nested_shape(array_or_tuple, seen)
     39     try:
     40         # treat object as iterable
---> 41         return [nested_shape(item, seen) if id(item) not in seen else 0 for item in list(array_or_tuple)]
     42     except TypeError:
     43         # object is not actually iterable

/usr/local/lib/python3.6/dist-packages/wandb/wandb_torch.py in <listcomp>(.0)
     39     try:
     40         # treat object as iterable
---> 41         return [nested_shape(item, seen) if id(item) not in seen else 0 for item in list(array_or_tuple)]
     42     except TypeError:
     43         # object is not actually iterable

/usr/local/lib/python3.6/dist-packages/wandb/wandb_torch.py in nested_shape(array_or_tuple, seen)
     39     try:
     40         # treat object as iterable
---> 41         return [nested_shape(item, seen) if id(item) not in seen else 0 for item in list(array_or_tuple)]
     42     except TypeError:
     43         # object is not actually iterable

/usr/local/lib/python3.6/dist-packages/wandb/wandb_torch.py in <listcomp>(.0)
     39     try:
     40         # treat object as iterable
---> 41         return [nested_shape(item, seen) if id(item) not in seen else 0 for item in list(array_or_tuple)]
     42     except TypeError:
     43         # object is not actually iterable

/usr/local/lib/python3.6/dist-packages/wandb/wandb_torch.py in nested_shape(array_or_tuple, seen)
     39     try:
     40         # treat object as iterable
---> 41         return [nested_shape(item, seen) if id(item) not in seen else 0 for item in list(array_or_tuple)]
     42     except TypeError:
     43         # object is not actually iterable

/usr/local/lib/python3.6/dist-packages/detectron2/structures/instances.py in __iter__(self)
    141 
    142     def __iter__(self):
--> 143         raise NotImplementedError("`Instances` object is not iterable!")
    144 
    145     @staticmethod

NotImplementedError: `Instances` object is not iterable!