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Submission 6402

Submission6402
Competinguser retired
Challengegb-eD
UserGianmarco Bernasconi
Date submitted
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User priority50

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Evaluation jobs for this submission

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Job IDstepstatusup to datedate starteddate completeddurationmessage
31216step1-simulationfailed Note that this job is not up to date; the challenge has been changed. 0:02:31
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.
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