Duckietown Challenges Home Challenges Submissions

Submission 2206

Submission2206
Competingyes
Challengeaido1_LFV_r2_cont-v3
UserLaurent Mandrile
Date submitted
Last status update
Completecomplete
DetailsEvaluation is complete.
Sisters
Result💔
Jobsstep1-simulation: 16736
Next
User labelSim Il Pytorch hype
Admin priority50
Blessingn/a
User priority50

The highlights are available only to the owner and the admins.

Evaluation jobs for this submission

See previous jobs for previous versions of challenges
Job IDstepstatusup to datedate starteddate completeddurationmessage
16736step1-simulationfailedyes0:00:56
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 "/notebooks/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 "/notebooks/src/duckietown-challenges/src/duckietown_challenges/cie_concrete.py", line 585, in wrap_solution
    solution.run(cis)
  File "solution.py", line 91, in run
    solve(params, cis)  # let's try to solve the challenge,
  File "solution.py", line 56, in solve
    action = model.predict(observation)
  File "/workspace/torchModel.py", line 68, in predict
    steering = self.forward(input).squeeze().detach().numpy()
  File "/workspace/torchModel.py", line 48, in forward
    x = self.finalLayer(x)
  File "/usr/local/lib/python2.7/dist-packages/torch/nn/modules/module.py", line 489, in __call__
    result = self.forward(*input, **kwargs)
  File "/usr/local/lib/python2.7/dist-packages/torch/nn/modules/linear.py", line 67, in forward
    return F.linear(input, self.weight, self.bias)
  File "/usr/local/lib/python2.7/dist-packages/torch/nn/functional.py", line 1352, in linear
    ret = torch.addmm(torch.jit._unwrap_optional(bias), input, weight.t())
RuntimeError: size mismatch, m1: [1 x 307200], m2: [19660800 x 1] at /pytorch/aten/src/TH/generic/THTensorMath.cpp:940


Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
No reset possible