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Submission 1527

Submission1527
Competingyes
Challengeaido1_LF1_r3-v3
Userngkel
Date submitted
Complete
DetailsEvaluation is complete.
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Result💔
Jobsstep1-simulation: 14590
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User labelPyTorch DDPG template
Admin priority50
Blessing50
User priority

Evaluation jobs for this submission

Job IDsubmissionuseruser labelchallengestepstatusup to dateevaluatordate starteddate completeddurationmessage
145901527ngkelPyTorch DDPG templateaido1_LF1_r3-v3step1-simulationfailedyes-0:00:36
InvalidSubmission: T [...]
InvalidSubmission:
Traceback (most recent call last):
  File "/workspace/src/duckietown-challenges/src/duckietown_challenges/cie_concrete.py", line 486, in wrap_evaluator
    raise InvalidSubmission(out[SPECIAL_INVALID_SUBMISSION])
InvalidSubmission: Invalid solution:
Traceback (most recent call last):
  File "/workspace/src/duckietown-challenges/src/duckietown_challenges/cie_concrete.py", line 590, in wrap_solution
    raise InvalidSubmission(msg)
InvalidSubmission: Uncaught exception in solution:
Traceback (most recent call last):
  File "/workspace/src/duckietown-challenges/src/duckietown_challenges/cie_concrete.py", line 585, in wrap_solution
    solution.run(cis)
  File "solution.py", line 105, in run
    solve(params, cis)
  File "solution.py", line 56, in solve
    model.load("model", "models")
  File "/workspace/model.py", line 299, in load
    self.actor.load_state_dict(torch.load('{}/{}_actor.pth'.format(directory, filename), map_location=device))
  File "/opt/conda/lib/python2.7/site-packages/torch/nn/modules/module.py", line 719, in load_state_dict
    self.__class__.__name__, "\n\t".join(error_msgs)))
RuntimeError: Error(s) in loading state_dict for ActorCNN:
	Unexpected key(s) in state_dict: "lin3.weight", "lin3.bias". 
	size mismatch for lin1.bias: copying a param of torch.Size([512]) from checkpoint, where the shape is torch.Size([256]) in current model.
	size mismatch for lin1.weight: copying a param of torch.Size([512, 4032]) from checkpoint, where the shape is torch.Size([256, 4032]) in current model.
	size mismatch for lin2.bias: copying a param of torch.Size([2]) from checkpoint, where the shape is torch.Size([128]) in current model.
	size mismatch for lin2.weight: copying a param of torch.Size([2, 512]) from checkpoint, where the shape is torch.Size([128, 258]) in current model.


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