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Job 14449

Job ID14449
submission1462
userkarlji1021
user labelPyTorch Rainbow by KarlJi
challengeaido1_LF1_r3-v3
stepstep1-simulation
statusfailed
up to dateyes
evaluator374
date started
date completed
duration0:00:43
message
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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