| message | InvalidSubmission:
T [...]InvalidSubmission:
Traceback (most recent call last):
File "experiment_manager.py", line 300, in run_episode
agent.write_topic_and_expect_zero('observations', recv.data.observations)
File "/usr/local/lib/python3.7/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 105, in write_topic_and_expect_zero
nickname=self.nickname)
File "/usr/local/lib/python3.7/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 258, in read_reply
others = read_until_over(fpout, timeout=timeout, nickname=nickname)
File "/usr/local/lib/python3.7/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 286, in read_until_over
raise RemoteNodeAborted(m)
zuper_nodes.structures.RemoteNodeAborted: External node "agent" aborted:
error in agent |Traceback (most recent call last):
| File "/usr/local/lib/python2.7/dist-packages/zuper_nodes_python2/imp.py", line 118, in wrap_direct
| f(context=context, data=data)
| File "solution.py", line 70, in on_received_observations
| obs = self.img_transformer.transform_img(obs)
| File "/workspace/action_invariance.py", line 100, in transform_img
| img = self.transform_net(img)
| File "/usr/local/lib/python2.7/dist-packages/torch/nn/modules/module.py", line 532, in __call__
| result = self.forward(*input, **kwargs)
| File "/workspace/networks.py", line 257, in forward
| return self.model(input)
| File "/usr/local/lib/python2.7/dist-packages/torch/nn/modules/module.py", line 532, in __call__
| result = self.forward(*input, **kwargs)
| File "/workspace/networks.py", line 396, in forward
| return self.model(x)
| File "/usr/local/lib/python2.7/dist-packages/torch/nn/modules/module.py", line 532, in __call__
| result = self.forward(*input, **kwargs)
| File "/usr/local/lib/python2.7/dist-packages/torch/nn/modules/container.py", line 100, in forward
| input = module(input)
| File "/usr/local/lib/python2.7/dist-packages/torch/nn/modules/module.py", line 532, in __call__
| result = self.forward(*input, **kwargs)
| File "/workspace/networks.py", line 398, in forward
| return torch.cat([x, self.model(x)], 1)
| File "/usr/local/lib/python2.7/dist-packages/torch/nn/modules/module.py", line 532, in __call__
| result = self.forward(*input, **kwargs)
| File "/usr/local/lib/python2.7/dist-packages/torch/nn/modules/container.py", line 100, in forward
| input = module(input)
| File "/usr/local/lib/python2.7/dist-packages/torch/nn/modules/module.py", line 532, in __call__
| result = self.forward(*input, **kwargs)
| File "/workspace/networks.py", line 398, in forward
| return torch.cat([x, self.model(x)], 1)
| File "/usr/local/lib/python2.7/dist-packages/torch/nn/modules/module.py", line 532, in __call__
| result = self.forward(*input, **kwargs)
| File "/usr/local/lib/python2.7/dist-packages/torch/nn/modules/container.py", line 100, in forward
| input = module(input)
| File "/usr/local/lib/python2.7/dist-packages/torch/nn/modules/module.py", line 532, in __call__
| result = self.forward(*input, **kwargs)
| File "/workspace/networks.py", line 398, in forward
| return torch.cat([x, self.model(x)], 1)
| File "/usr/local/lib/python2.7/dist-packages/torch/nn/modules/module.py", line 532, in __call__
| result = self.forward(*input, **kwargs)
| File "/usr/local/lib/python2.7/dist-packages/torch/nn/modules/container.py", line 100, in forward
| input = module(input)
| File "/usr/local/lib/python2.7/dist-packages/torch/nn/modules/module.py", line 532, in __call__
| result = self.forward(*input, **kwargs)
| File "/workspace/networks.py", line 398, in forward
| return torch.cat([x, self.model(x)], 1)
| File "/usr/local/lib/python2.7/dist-packages/torch/nn/modules/module.py", line 532, in __call__
| result = self.forward(*input, **kwargs)
| File "/usr/local/lib/python2.7/dist-packages/torch/nn/modules/container.py", line 100, in forward
| input = module(input)
| File "/usr/local/lib/python2.7/dist-packages/torch/nn/modules/module.py", line 532, in __call__
| result = self.forward(*input, **kwargs)
| File "/workspace/networks.py", line 398, in forward
| return torch.cat([x, self.model(x)], 1)
| File "/usr/local/lib/python2.7/dist-packages/torch/nn/modules/module.py", line 532, in __call__
| result = self.forward(*input, **kwargs)
| File "/usr/local/lib/python2.7/dist-packages/torch/nn/modules/container.py", line 100, in forward
| input = module(input)
| File "/usr/local/lib/python2.7/dist-packages/torch/nn/modules/module.py", line 532, in __call__
| result = self.forward(*input, **kwargs)
| File "/workspace/networks.py", line 398, in forward
| return torch.cat([x, self.model(x)], 1)
| File "/usr/local/lib/python2.7/dist-packages/torch/nn/modules/module.py", line 532, in __call__
| result = self.forward(*input, **kwargs)
| File "/usr/local/lib/python2.7/dist-packages/torch/nn/modules/container.py", line 100, in forward
| input = module(input)
| File "/usr/local/lib/python2.7/dist-packages/torch/nn/modules/module.py", line 532, in __call__
| result = self.forward(*input, **kwargs)
| File "/workspace/networks.py", line 398, in forward
| return torch.cat([x, self.model(x)], 1)
|RuntimeError: invalid argument 0: Sizes of tensors must match except in dimension 1. Got 3 and 2 in dimension 2 at /pytorch/aten/src/TH/generic/THTensor.cpp:612
|
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/duckietown_challenges/cie_concrete.py", line 676, in scoring_context
yield cie
File "experiment_manager.py", line 446, in <module>
wrap(cie)
File "experiment_manager.py", line 434, in wrap
main(cie, logdir, attempts)
File "experiment_manager.py", line 138, in main
physics_dt=config.physics_dt)
File "experiment_manager.py", line 305, in run_episode
raise dc.InvalidSubmission(msg) from e
duckietown_challenges.exceptions.InvalidSubmission: Trouble with communication to the agent.
|
Gianmarco Bernasconi