Duckietown Challenges Home Challenges Submissions

Job 66150

Job ID66150
submission13998
userFrank (Chude) Qian 🇨🇦
user labelbaseline-behavior-cloning New Dataset
challengeaido-LFP-sim-validation
stepsim-0of4
statusfailed
up to date Note that this job is not up to date; the challenge has been changed.
evaluatorgpu-production-spot-3-02
date started
date completed
duration0:00:50
message
InvalidSubmission: T [...]
InvalidSubmission:
Traceback (most recent call last):
  File "/usr/local/lib/python3.8/site-packages/duckietown_experiment_manager/code.py", line 589, in run_episode
    r: MsgReceived = await loop.run_in_executor(executor, f)
  File "/usr/local/lib/python3.8/concurrent/futures/thread.py", line 57, in run
    result = self.fn(*self.args, **self.kwargs)
  File "/usr/local/lib/python3.8/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 135, in write_topic_and_expect
    ob: MsgReceived = self.read_one(expect_topic=expect, timeout=timeout)
  File "/usr/local/lib/python3.8/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 218, in read_one
    msgs = read_reply(self.fpout, timeout=timeout, waiting_for=waiting_for, nickname=self.nickname,)
  File "/usr/local/lib/python3.8/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 304, in read_reply
    others = read_until_over(fpout, timeout=timeout, nickname=nickname)
  File "/usr/local/lib/python3.8/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 331, in read_until_over
    raise RemoteNodeAborted(m)
zuper_nodes.structures.RemoteNodeAborted: External node "ego0" aborted:

error in ego0 |Exception while handling a message on topic "get_commands".
              |
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 355, in loop
              ||     handle_message_node(parsed, receiver0, context0)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 531, in handle_message_node
              ||     call_if_fun_exists(agent, expect_fn, data=ob, context=context, timing=timing)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/utils.py", line 21, in call_if_fun_exists
              ||     f(**kwargs)
              ||   File "solution.py", line 84, in on_received_get_commands
              ||     linear, angular = self.compute_action(self.to_predictor)
              ||   File "solution.py", line 79, in compute_action
              ||     (linear, angular) = self.model.predict(observation)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/training.py", line 88, in _method_wrapper
              ||     return method(self, *args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/training.py", line 1268, in predict
              ||     tmp_batch_outputs = predict_function(iterator)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/eager/def_function.py", line 580, in __call__
              ||     result = self._call(*args, **kwds)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/eager/def_function.py", line 650, in _call
              ||     return self._concrete_stateful_fn._filtered_call(canon_args, canon_kwds)  # pylint: disable=protected-access
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/eager/function.py", line 1661, in _filtered_call
              ||     return self._call_flat(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/eager/function.py", line 1745, in _call_flat
              ||     return self._build_call_outputs(self._inference_function.call(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/eager/function.py", line 593, in call
              ||     outputs = execute.execute(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/eager/execute.py", line 59, in quick_execute
              ||     tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,
              || tensorflow.python.framework.errors_impl.UnknownError:  Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above.
              || 	 [[node FrankNet/conv2d_5/Conv2D (defined at solution.py:79) ]] [Op:__inference_predict_function_790]
              ||
              || Errors may have originated from an input operation.
              || Input Source operations connected to node FrankNet/conv2d_5/Conv2D:
              ||  FrankNet/lambda_1/truediv (defined at /submission/frankModel.py:42)
              ||
              || Function call stack:
              || predict_function
              ||
              ||

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/usr/local/lib/python3.8/site-packages/duckietown_challenges/cie_concrete.py", line 681, in scoring_context
    yield cie
  File "/usr/local/lib/python3.8/site-packages/duckietown_experiment_manager/experiment_manager.py", line 60, in go
    wrap(cie)
  File "/usr/local/lib/python3.8/site-packages/duckietown_experiment_manager/experiment_manager.py", line 33, in wrap
    asyncio.run(main(cie, logdir, attempts), debug=True)
  File "/usr/local/lib/python3.8/asyncio/runners.py", line 44, in run
    return loop.run_until_complete(main)
  File "/usr/local/lib/python3.8/asyncio/base_events.py", line 616, in run_until_complete
    return future.result()
  File "/usr/local/lib/python3.8/site-packages/duckietown_experiment_manager/code.py", line 312, in main
    length_s = await run_episode(
  File "/usr/local/lib/python3.8/site-packages/duckietown_experiment_manager/code.py", line 593, in run_episode
    raise dc.InvalidSubmission(msg) from e
duckietown_challenges.exceptions.InvalidSubmission: Trouble with communication to the agent.
Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.

Highlights

Artifacts

The artifacts are hidden.

Container logs

The logs are hidden.