Duckietown Challenges Home Challenges Submissions

Submission 1462

Submission1462
Competingyes
Challengeaido1_LF1_r3-v3
UserGwanghyeon Ji
Date submitted
Last status update
Completecomplete
DetailsEvaluation is complete.
Sisters
Result💔
Jobsstep1-simulation: 14449
Next
User labelPyTorch Rainbow by KarlJi
Admin priority50
Blessingn/a
User priority50

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Job IDstepstatusup to datedate starteddate completeddurationmessage
14449step1-simulationfailedyes0:00:43
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 261, in run
    solve(params, cis)
  File "solution.py", line 203, in solve
    Variable(storage.current_obs()),
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
  File "solution.py", line 110, in <lambda>
    Variable = lambda *args, **kwargs: torch.autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else Variable(*args, **kwargs)
RuntimeError: maximum recursion depth exceeded
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