Submission 13504

Submission	`13504`

Competing	yes
Challenge	`aido-LF-sim-testing`
User	András Kalapos 🇭🇺
Date submitted	2021-01-31 22:16:28+00:00
Last status update	2022-04-15 16:25:20+00:00
Complete	complete
Details	Evaluation is complete.
Sisters
Result	💚
Jobs	sim-0of4: `106273` sim-1of4: `106271` sim-2of4: `106267` sim-3of4: `106269`
Next
User label	real-v1.0-3091-310
Admin priority	50
Blessing	n/a
User priority	50

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

Evaluation jobs for this submission

Show only up-to-date jobs

Job ID step status up to date date started date completed duration message

106273

sim-0of4

success

yes

2021-11-03 06:32:23+00:00

2021-11-03 06:36:34+00:00

0:04:11

Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.

driven_lanedir_consec_median	28.720612073001924
survival_time_median	59.99999999999873
deviation-center-line_median	1.7271533331041409
in-drivable-lane_median	0.0

other stats

deviation-center-line_max	1.7271533331041409
deviation-center-line_mean	1.7271533331041409
deviation-center-line_min	1.7271533331041409
deviation-heading_max	6.9536373210545115
deviation-heading_mean	6.9536373210545115
deviation-heading_median	6.9536373210545115
deviation-heading_min	6.9536373210545115
distance-from-start_max	1.093967552096397
distance-from-start_mean	1.093967552096397
distance-from-start_median	1.093967552096397
distance-from-start_min	1.093967552096397
driven_any_max	28.922745295239597
driven_any_mean	28.922745295239597
driven_any_median	28.922745295239597
driven_any_min	28.922745295239597
driven_lanedir_consec_max	28.720612073001924
driven_lanedir_consec_mean	28.720612073001924
driven_lanedir_consec_min	28.720612073001924
driven_lanedir_max	28.720612073001924
driven_lanedir_mean	28.720612073001924
driven_lanedir_median	28.720612073001924
driven_lanedir_min	28.720612073001924
in-drivable-lane_max	0.0
in-drivable-lane_mean	0.0
in-drivable-lane_min	0.0
per-episodes	details {"loop2-000-ego0": {"driven_any": 28.922745295239597, "survival_time": 59.99999999999873, "driven_lanedir": 28.720612073001924, "in-drivable-lane": 0.0, "deviation-heading": 6.9536373210545115, "distance-from-start": 1.093967552096397, "deviation-center-line": 1.7271533331041409, "driven_lanedir_consec": 28.720612073001924}}
simulation-passed	1
survival_time_max	59.99999999999873
survival_time_mean	59.99999999999873
survival_time_min	59.99999999999873

No reset possible

106271

sim-1of4

success

yes

2021-11-03 06:32:21+00:00

2021-11-03 06:37:15+00:00

0:04:54

Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.

driven_lanedir_consec_median	29.367890797306817
survival_time_median	59.99999999999873
deviation-center-line_median	2.8011260812217778
in-drivable-lane_median	0.0

other stats

deviation-center-line_max	2.8011260812217778
deviation-center-line_mean	2.8011260812217778
deviation-center-line_min	2.8011260812217778
deviation-heading_max	8.237437210071555
deviation-heading_mean	8.237437210071555
deviation-heading_median	8.237437210071555
deviation-heading_min	8.237437210071555
distance-from-start_max	3.965855759177411
distance-from-start_mean	3.965855759177411
distance-from-start_median	3.965855759177411
distance-from-start_min	3.965855759177411
driven_any_max	29.811678867804694
driven_any_mean	29.811678867804694
driven_any_median	29.811678867804694
driven_any_min	29.811678867804694
driven_lanedir_consec_max	29.367890797306817
driven_lanedir_consec_mean	29.367890797306817
driven_lanedir_consec_min	29.367890797306817
driven_lanedir_max	29.367890797306817
driven_lanedir_mean	29.367890797306817
driven_lanedir_median	29.367890797306817
driven_lanedir_min	29.367890797306817
in-drivable-lane_max	0.0
in-drivable-lane_mean	0.0
in-drivable-lane_min	0.0
per-episodes	details {"autolab-000-ego0": {"driven_any": 29.811678867804694, "survival_time": 59.99999999999873, "driven_lanedir": 29.367890797306817, "in-drivable-lane": 0.0, "deviation-heading": 8.237437210071555, "distance-from-start": 3.965855759177411, "deviation-center-line": 2.8011260812217778, "driven_lanedir_consec": 29.367890797306817}}
simulation-passed	1
survival_time_max	59.99999999999873
survival_time_mean	59.99999999999873
survival_time_min	59.99999999999873

No reset possible

106269

sim-3of4

success

yes

2021-11-03 06:32:19+00:00

2021-11-03 06:37:47+00:00

0:05:28

Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.

driven_lanedir_consec_median	26.721951161470667
survival_time_median	59.99999999999873
deviation-center-line_median	2.494651774882898
in-drivable-lane_median	2.7999999999999963

other stats

deviation-center-line_max	2.494651774882898
deviation-center-line_mean	2.494651774882898
deviation-center-line_min	2.494651774882898
deviation-heading_max	7.999871687541887
deviation-heading_mean	7.999871687541887
deviation-heading_median	7.999871687541887
deviation-heading_min	7.999871687541887
distance-from-start_max	3.2898012058581236
distance-from-start_mean	3.2898012058581236
distance-from-start_median	3.2898012058581236
distance-from-start_min	3.2898012058581236
driven_any_max	28.406835656117533
driven_any_mean	28.406835656117533
driven_any_median	28.406835656117533
driven_any_min	28.406835656117533
driven_lanedir_consec_max	26.721951161470667
driven_lanedir_consec_mean	26.721951161470667
driven_lanedir_consec_min	26.721951161470667
driven_lanedir_max	26.721951161470667
driven_lanedir_mean	26.721951161470667
driven_lanedir_median	26.721951161470667
driven_lanedir_min	26.721951161470667
in-drivable-lane_max	2.7999999999999963
in-drivable-lane_mean	2.7999999999999963
in-drivable-lane_min	2.7999999999999963
per-episodes	details {"zigzag-000-ego0": {"driven_any": 28.406835656117533, "survival_time": 59.99999999999873, "driven_lanedir": 26.721951161470667, "in-drivable-lane": 2.7999999999999963, "deviation-heading": 7.999871687541887, "distance-from-start": 3.2898012058581236, "deviation-center-line": 2.494651774882898, "driven_lanedir_consec": 26.721951161470667}}
simulation-passed	1
survival_time_max	59.99999999999873
survival_time_mean	59.99999999999873
survival_time_min	59.99999999999873

No reset possible

106267

sim-2of4

success

yes

2021-11-03 06:32:17+00:00

2021-11-03 06:36:37+00:00

0:04:20

Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.

driven_lanedir_consec_median	30.42829067685145
survival_time_median	59.99999999999873
deviation-center-line_median	2.6043158383571146
in-drivable-lane_median	0.0

other stats

deviation-center-line_max	2.6043158383571146
deviation-center-line_mean	2.6043158383571146
deviation-center-line_min	2.6043158383571146
deviation-heading_max	7.1605401493737775
deviation-heading_mean	7.1605401493737775
deviation-heading_median	7.1605401493737775
deviation-heading_min	7.1605401493737775
distance-from-start_max	2.5535536214870644
distance-from-start_mean	2.5535536214870644
distance-from-start_median	2.5535536214870644
distance-from-start_min	2.5535536214870644
driven_any_max	30.78274882797348
driven_any_mean	30.78274882797348
driven_any_median	30.78274882797348
driven_any_min	30.78274882797348
driven_lanedir_consec_max	30.42829067685145
driven_lanedir_consec_mean	30.42829067685145
driven_lanedir_consec_min	30.42829067685145
driven_lanedir_max	30.42829067685145
driven_lanedir_mean	30.42829067685145
driven_lanedir_median	30.42829067685145
driven_lanedir_min	30.42829067685145
in-drivable-lane_max	0.0
in-drivable-lane_mean	0.0
in-drivable-lane_min	0.0
per-episodes	details {"loop-000-ego0": {"driven_any": 30.78274882797348, "survival_time": 59.99999999999873, "driven_lanedir": 30.42829067685145, "in-drivable-lane": 0.0, "deviation-heading": 7.1605401493737775, "distance-from-start": 2.5535536214870644, "deviation-center-line": 2.6043158383571146, "driven_lanedir_consec": 30.42829067685145}}
simulation-passed	1
survival_time_max	59.99999999999873
survival_time_mean	59.99999999999873
survival_time_min	59.99999999999873

No reset possible

91879

sim-2of4

success

2021-10-23 10:52:41+00:00

2021-10-23 11:07:06+00:00

0:14:25

Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.

No reset possible

91878

sim-3of4

success

2021-10-23 10:40:06+00:00

2021-10-23 10:52:14+00:00

0:12:08

Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.

No reset possible

91877

sim-1of4

success

2021-10-23 10:27:33+00:00

2021-10-23 10:39:42+00:00

0:12:09

Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.

No reset possible

91876

sim-0of4

success

2021-10-23 10:13:48+00:00

2021-10-23 10:27:01+00:00

0:13:13

Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.

No reset possible

75176

sim-3of4

failed

2021-04-22 00:19:54+00:00

2021-04-22 00:20:36+00:00

0:00:42

InvalidSubmission: T [...]

InvalidSubmission:
Traceback (most recent call last):
  File "/usr/local/lib/python3.8/site-packages/duckietown_experiment_manager/code.py", line 271, in main
    robot_ci.write_topic_and_expect_zero("seed", config.seed)
  File "/usr/local/lib/python3.8/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 143, in write_topic_and_expect_zero
    msgs = read_reply(self.fpout, timeout=timeout, nickname=self.nickname)
  File "/usr/local/lib/python3.8/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 309, in read_reply
    raise RemoteNodeAborted(msg)
zuper_nodes.structures.RemoteNodeAborted: The remote node "ego0" aborted with the following error:

error in ego0 |Unexpected error:
              |
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1365, in _do_call
              ||     return fn(*args)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1349, in _run_fn
              ||     return self._call_tf_sessionrun(options, feed_dict, fetch_list,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1441, in _call_tf_sessionrun
              ||     return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict,
              || tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              ||   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || 	 [[default_policy/strided_slice_1/_3]]
              ||   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || 0 successful operations.
              || 0 derived errors ignored.
              ||
              || During handling of the above exception, another exception occurred:
              ||
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              ||     call_if_fun_exists(node, "init", context=context_data)
              ||   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 29, in init
              ||     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              ||   File "/submission/model.py", line 55, in __init__
              ||     self.model = PPOTrainer(config=config["rllib_config"])
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              ||     Trainer.__init__(self, config, env, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              ||     super().__init__(config, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              ||     self._setup(copy.deepcopy(self.config))
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              ||     self._init(self.config, self.env_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              ||     self.workers = self._make_workers(env_creator, self._policy,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              ||     return WorkerSet(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              ||     self._local_worker = self._make_worker(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              ||     worker = cls(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              ||     self._build_policy_map(policy_dict, policy_config)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              ||     policy_map[name] = cls(obs_space, act_space, merged_conf)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              ||     DynamicTFPolicy.__init__(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              ||     self._initialize_loss()
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              ||     postprocessed_batch = self.postprocess_trajectory(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              ||     return postprocess_fn(self, sample_batch, other_agent_batches,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              ||     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 86, in call
              ||     return session_or_none.run(symbolic_out[0], feed_dict)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 957, in run
              ||     result = self._run(None, fetches, feed_dict, options_ptr,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1180, in _run
              ||     results = self._do_run(handle, final_targets, final_fetches,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1358, in _do_run
              ||     return self._do_call(_run_fn, feeds, fetches, targets, options,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1384, in _do_call
              ||     raise type(e)(node_def, op, message)
              || tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              ||   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || 	 [[default_policy/strided_slice_1/_3]]
              ||   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || 0 successful operations.
              || 0 derived errors ignored.
              ||
              || Original stack trace for 'default_policy/functional_1_1/conv_value_1/Relu':
              ||   File "solution.py", line 127, in <module>
              ||     main()
              ||   File "solution.py", line 123, in main
              ||     wrap_direct(node=node, protocol=protocol)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/interface.py", line 24, in wrap_direct
              ||     run_loop(node, protocol, args)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 243, in run_loop
              ||     loop(node_name, fi, fo, node, protocol, tin, tout, config=config, fi_desc=fin, fo_desc=fout)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              ||     call_if_fun_exists(node, "init", context=context_data)
              ||   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 29, in init
              ||     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              ||   File "/submission/model.py", line 55, in __init__
              ||     self.model = PPOTrainer(config=config["rllib_config"])
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              ||     Trainer.__init__(self, config, env, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              ||     super().__init__(config, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              ||     self._setup(copy.deepcopy(self.config))
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              ||     self._init(self.config, self.env_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              ||     self.workers = self._make_workers(env_creator, self._policy,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              ||     return WorkerSet(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              ||     self._local_worker = self._make_worker(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              ||     worker = cls(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              ||     self._build_policy_map(policy_dict, policy_config)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              ||     policy_map[name] = cls(obs_space, act_space, merged_conf)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              ||     DynamicTFPolicy.__init__(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              ||     self._initialize_loss()
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              ||     postprocessed_batch = self.postprocess_trajectory(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              ||     return postprocess_fn(self, sample_batch, other_agent_batches,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              ||     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 84, in call
              ||     symbolic_out[0] = fn(*placeholders)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 235, in value
              ||     model_out, _ = self.model({
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/modelv2.py", line 150, in __call__
              ||     res = self.forward(restored, state or [], seq_lens)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py", line 103, in forward
              ||     model_out, self._value_out = self.base_model(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              ||     outputs = call_fn(cast_inputs, *args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 385, in call
              ||     return self._run_internal_graph(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 508, in _run_internal_graph
              ||     outputs = node.layer(*args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              ||     outputs = call_fn(cast_inputs, *args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/layers/convolutional.py", line 269, in call
              ||     return self.activation(outputs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/gen_nn_ops.py", line 10435, in relu
              ||     _, _, _op, _outputs = _op_def_library._apply_op_helper(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/op_def_library.py", line 742, in _apply_op_helper
              ||     op = g._create_op_internal(op_type_name, inputs, dtypes=None,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 3477, in _create_op_internal
              ||     ret = Operation(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 1949, in __init__
              ||     self._traceback = tf_stack.extract_stack()
              ||
              ||
              || The above exception was the direct cause of the following exception:
              ||
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 339, in loop
              ||     raise Exception(msg) from e
              || Exception: Exception while calling the node's init() function.
              ||
              || | Traceback (most recent call last):
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1365, in _do_call
              || |     return fn(*args)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1349, in _run_fn
              || |     return self._call_tf_sessionrun(options, feed_dict, fetch_list,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1441, in _call_tf_sessionrun
              || |     return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict,
              || | tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              || |   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || | 	 [[default_policy/strided_slice_1/_3]]
              || |   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || | 0 successful operations.
              || | 0 derived errors ignored.
              || |
              || | During handling of the above exception, another exception occurred:
              || |
              || | Traceback (most recent call last):
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              || |     call_if_fun_exists(node, "init", context=context_data)
              || |   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 29, in init
              || |     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              || |   File "/submission/model.py", line 55, in __init__
              || |     self.model = PPOTrainer(config=config["rllib_config"])
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              || |     Trainer.__init__(self, config, env, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              || |     super().__init__(config, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              || |     self._setup(copy.deepcopy(self.config))
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              || |     self._init(self.config, self.env_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              || |     self.workers = self._make_workers(env_creator, self._policy,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              || |     return WorkerSet(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              || |     self._local_worker = self._make_worker(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              || |     worker = cls(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              || |     self._build_policy_map(policy_dict, policy_config)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              || |     policy_map[name] = cls(obs_space, act_space, merged_conf)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              || |     DynamicTFPolicy.__init__(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              || |     self._initialize_loss()
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              || |     postprocessed_batch = self.postprocess_trajectory(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              || |     return postprocess_fn(self, sample_batch, other_agent_batches,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              || |     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 86, in call
              || |     return session_or_none.run(symbolic_out[0], feed_dict)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 957, in run
              || |     result = self._run(None, fetches, feed_dict, options_ptr,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1180, in _run
              || |     results = self._do_run(handle, final_targets, final_fetches,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1358, in _do_run
              || |     return self._do_call(_run_fn, feeds, fetches, targets, options,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1384, in _do_call
              || |     raise type(e)(node_def, op, message)
              || | tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              || |   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || | 	 [[default_policy/strided_slice_1/_3]]
              || |   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || | 0 successful operations.
              || | 0 derived errors ignored.
              || |
              || | Original stack trace for 'default_policy/functional_1_1/conv_value_1/Relu':
              || |   File "solution.py", line 127, in <module>
              || |     main()
              || |   File "solution.py", line 123, in main
              || |     wrap_direct(node=node, protocol=protocol)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/interface.py", line 24, in wrap_direct
              || |     run_loop(node, protocol, args)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 243, in run_loop
              || |     loop(node_name, fi, fo, node, protocol, tin, tout, config=config, fi_desc=fin, fo_desc=fout)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              || |     call_if_fun_exists(node, "init", context=context_data)
              || |   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 29, in init
              || |     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              || |   File "/submission/model.py", line 55, in __init__
              || |     self.model = PPOTrainer(config=config["rllib_config"])
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              || |     Trainer.__init__(self, config, env, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              || |     super().__init__(config, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              || |     self._setup(copy.deepcopy(self.config))
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              || |     self._init(self.config, self.env_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              || |     self.workers = self._make_workers(env_creator, self._policy,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              || |     return WorkerSet(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              || |     self._local_worker = self._make_worker(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              || |     worker = cls(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              || |     self._build_policy_map(policy_dict, policy_config)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              || |     policy_map[name] = cls(obs_space, act_space, merged_conf)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              || |     DynamicTFPolicy.__init__(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              || |     self._initialize_loss()
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              || |     postprocessed_batch = self.postprocess_trajectory(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              || |     return postprocess_fn(self, sample_batch, other_agent_batches,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              || |     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 84, in call
              || |     symbolic_out[0] = fn(*placeholders)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 235, in value
              || |     model_out, _ = self.model({
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/modelv2.py", line 150, in __call__
              || |     res = self.forward(restored, state or [], seq_lens)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py", line 103, in forward
              || |     model_out, self._value_out = self.base_model(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              || |     outputs = call_fn(cast_inputs, *args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 385, in call
              || |     return self._run_internal_graph(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 508, in _run_internal_graph
              || |     outputs = node.layer(*args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              || |     outputs = call_fn(cast_inputs, *args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/layers/convolutional.py", line 269, in call
              || |     return self.activation(outputs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/gen_nn_ops.py", line 10435, in relu
              || |     _, _, _op, _outputs = _op_def_library._apply_op_helper(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/op_def_library.py", line 742, in _apply_op_helper
              || |     op = g._create_op_internal(op_type_name, inputs, dtypes=None,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 3477, in _create_op_internal
              || |     ret = Operation(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 1949, in __init__
              || |     self._traceback = tf_stack.extract_stack()
              || |
              || |
              ||

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 278, in main
    raise InvalidSubmission(msg) from e
duckietown_challenges.exceptions.InvalidSubmission: Getting agent protocol

Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.

No reset possible

75175

sim-1of4

failed

2021-04-22 00:19:51+00:00

2021-04-22 00:20:33+00:00

0:00:42

InvalidSubmission: T [...]

InvalidSubmission:
Traceback (most recent call last):
  File "/usr/local/lib/python3.8/site-packages/duckietown_experiment_manager/code.py", line 271, in main
    robot_ci.write_topic_and_expect_zero("seed", config.seed)
  File "/usr/local/lib/python3.8/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 143, in write_topic_and_expect_zero
    msgs = read_reply(self.fpout, timeout=timeout, nickname=self.nickname)
  File "/usr/local/lib/python3.8/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 309, in read_reply
    raise RemoteNodeAborted(msg)
zuper_nodes.structures.RemoteNodeAborted: The remote node "ego0" aborted with the following error:

error in ego0 |Unexpected error:
              |
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1365, in _do_call
              ||     return fn(*args)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1349, in _run_fn
              ||     return self._call_tf_sessionrun(options, feed_dict, fetch_list,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1441, in _call_tf_sessionrun
              ||     return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict,
              || tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              ||   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || 	 [[default_policy/strided_slice_1/_3]]
              ||   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || 0 successful operations.
              || 0 derived errors ignored.
              ||
              || During handling of the above exception, another exception occurred:
              ||
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              ||     call_if_fun_exists(node, "init", context=context_data)
              ||   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 29, in init
              ||     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              ||   File "/submission/model.py", line 55, in __init__
              ||     self.model = PPOTrainer(config=config["rllib_config"])
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              ||     Trainer.__init__(self, config, env, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              ||     super().__init__(config, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              ||     self._setup(copy.deepcopy(self.config))
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              ||     self._init(self.config, self.env_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              ||     self.workers = self._make_workers(env_creator, self._policy,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              ||     return WorkerSet(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              ||     self._local_worker = self._make_worker(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              ||     worker = cls(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              ||     self._build_policy_map(policy_dict, policy_config)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              ||     policy_map[name] = cls(obs_space, act_space, merged_conf)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              ||     DynamicTFPolicy.__init__(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              ||     self._initialize_loss()
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              ||     postprocessed_batch = self.postprocess_trajectory(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              ||     return postprocess_fn(self, sample_batch, other_agent_batches,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              ||     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 86, in call
              ||     return session_or_none.run(symbolic_out[0], feed_dict)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 957, in run
              ||     result = self._run(None, fetches, feed_dict, options_ptr,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1180, in _run
              ||     results = self._do_run(handle, final_targets, final_fetches,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1358, in _do_run
              ||     return self._do_call(_run_fn, feeds, fetches, targets, options,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1384, in _do_call
              ||     raise type(e)(node_def, op, message)
              || tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              ||   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || 	 [[default_policy/strided_slice_1/_3]]
              ||   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || 0 successful operations.
              || 0 derived errors ignored.
              ||
              || Original stack trace for 'default_policy/functional_1_1/conv_value_1/Relu':
              ||   File "solution.py", line 127, in <module>
              ||     main()
              ||   File "solution.py", line 123, in main
              ||     wrap_direct(node=node, protocol=protocol)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/interface.py", line 24, in wrap_direct
              ||     run_loop(node, protocol, args)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 243, in run_loop
              ||     loop(node_name, fi, fo, node, protocol, tin, tout, config=config, fi_desc=fin, fo_desc=fout)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              ||     call_if_fun_exists(node, "init", context=context_data)
              ||   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 29, in init
              ||     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              ||   File "/submission/model.py", line 55, in __init__
              ||     self.model = PPOTrainer(config=config["rllib_config"])
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              ||     Trainer.__init__(self, config, env, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              ||     super().__init__(config, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              ||     self._setup(copy.deepcopy(self.config))
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              ||     self._init(self.config, self.env_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              ||     self.workers = self._make_workers(env_creator, self._policy,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              ||     return WorkerSet(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              ||     self._local_worker = self._make_worker(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              ||     worker = cls(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              ||     self._build_policy_map(policy_dict, policy_config)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              ||     policy_map[name] = cls(obs_space, act_space, merged_conf)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              ||     DynamicTFPolicy.__init__(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              ||     self._initialize_loss()
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              ||     postprocessed_batch = self.postprocess_trajectory(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              ||     return postprocess_fn(self, sample_batch, other_agent_batches,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              ||     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 84, in call
              ||     symbolic_out[0] = fn(*placeholders)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 235, in value
              ||     model_out, _ = self.model({
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/modelv2.py", line 150, in __call__
              ||     res = self.forward(restored, state or [], seq_lens)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py", line 103, in forward
              ||     model_out, self._value_out = self.base_model(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              ||     outputs = call_fn(cast_inputs, *args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 385, in call
              ||     return self._run_internal_graph(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 508, in _run_internal_graph
              ||     outputs = node.layer(*args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              ||     outputs = call_fn(cast_inputs, *args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/layers/convolutional.py", line 269, in call
              ||     return self.activation(outputs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/gen_nn_ops.py", line 10435, in relu
              ||     _, _, _op, _outputs = _op_def_library._apply_op_helper(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/op_def_library.py", line 742, in _apply_op_helper
              ||     op = g._create_op_internal(op_type_name, inputs, dtypes=None,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 3477, in _create_op_internal
              ||     ret = Operation(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 1949, in __init__
              ||     self._traceback = tf_stack.extract_stack()
              ||
              ||
              || The above exception was the direct cause of the following exception:
              ||
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 339, in loop
              ||     raise Exception(msg) from e
              || Exception: Exception while calling the node's init() function.
              ||
              || | Traceback (most recent call last):
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1365, in _do_call
              || |     return fn(*args)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1349, in _run_fn
              || |     return self._call_tf_sessionrun(options, feed_dict, fetch_list,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1441, in _call_tf_sessionrun
              || |     return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict,
              || | tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              || |   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || | 	 [[default_policy/strided_slice_1/_3]]
              || |   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || | 0 successful operations.
              || | 0 derived errors ignored.
              || |
              || | During handling of the above exception, another exception occurred:
              || |
              || | Traceback (most recent call last):
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              || |     call_if_fun_exists(node, "init", context=context_data)
              || |   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 29, in init
              || |     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              || |   File "/submission/model.py", line 55, in __init__
              || |     self.model = PPOTrainer(config=config["rllib_config"])
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              || |     Trainer.__init__(self, config, env, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              || |     super().__init__(config, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              || |     self._setup(copy.deepcopy(self.config))
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              || |     self._init(self.config, self.env_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              || |     self.workers = self._make_workers(env_creator, self._policy,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              || |     return WorkerSet(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              || |     self._local_worker = self._make_worker(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              || |     worker = cls(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              || |     self._build_policy_map(policy_dict, policy_config)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              || |     policy_map[name] = cls(obs_space, act_space, merged_conf)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              || |     DynamicTFPolicy.__init__(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              || |     self._initialize_loss()
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              || |     postprocessed_batch = self.postprocess_trajectory(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              || |     return postprocess_fn(self, sample_batch, other_agent_batches,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              || |     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 86, in call
              || |     return session_or_none.run(symbolic_out[0], feed_dict)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 957, in run
              || |     result = self._run(None, fetches, feed_dict, options_ptr,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1180, in _run
              || |     results = self._do_run(handle, final_targets, final_fetches,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1358, in _do_run
              || |     return self._do_call(_run_fn, feeds, fetches, targets, options,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1384, in _do_call
              || |     raise type(e)(node_def, op, message)
              || | tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              || |   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || | 	 [[default_policy/strided_slice_1/_3]]
              || |   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || | 0 successful operations.
              || | 0 derived errors ignored.
              || |
              || | Original stack trace for 'default_policy/functional_1_1/conv_value_1/Relu':
              || |   File "solution.py", line 127, in <module>
              || |     main()
              || |   File "solution.py", line 123, in main
              || |     wrap_direct(node=node, protocol=protocol)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/interface.py", line 24, in wrap_direct
              || |     run_loop(node, protocol, args)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 243, in run_loop
              || |     loop(node_name, fi, fo, node, protocol, tin, tout, config=config, fi_desc=fin, fo_desc=fout)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              || |     call_if_fun_exists(node, "init", context=context_data)
              || |   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 29, in init
              || |     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              || |   File "/submission/model.py", line 55, in __init__
              || |     self.model = PPOTrainer(config=config["rllib_config"])
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              || |     Trainer.__init__(self, config, env, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              || |     super().__init__(config, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              || |     self._setup(copy.deepcopy(self.config))
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              || |     self._init(self.config, self.env_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              || |     self.workers = self._make_workers(env_creator, self._policy,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              || |     return WorkerSet(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              || |     self._local_worker = self._make_worker(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              || |     worker = cls(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              || |     self._build_policy_map(policy_dict, policy_config)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              || |     policy_map[name] = cls(obs_space, act_space, merged_conf)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              || |     DynamicTFPolicy.__init__(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              || |     self._initialize_loss()
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              || |     postprocessed_batch = self.postprocess_trajectory(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              || |     return postprocess_fn(self, sample_batch, other_agent_batches,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              || |     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 84, in call
              || |     symbolic_out[0] = fn(*placeholders)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 235, in value
              || |     model_out, _ = self.model({
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/modelv2.py", line 150, in __call__
              || |     res = self.forward(restored, state or [], seq_lens)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py", line 103, in forward
              || |     model_out, self._value_out = self.base_model(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              || |     outputs = call_fn(cast_inputs, *args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 385, in call
              || |     return self._run_internal_graph(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 508, in _run_internal_graph
              || |     outputs = node.layer(*args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              || |     outputs = call_fn(cast_inputs, *args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/layers/convolutional.py", line 269, in call
              || |     return self.activation(outputs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/gen_nn_ops.py", line 10435, in relu
              || |     _, _, _op, _outputs = _op_def_library._apply_op_helper(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/op_def_library.py", line 742, in _apply_op_helper
              || |     op = g._create_op_internal(op_type_name, inputs, dtypes=None,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 3477, in _create_op_internal
              || |     ret = Operation(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 1949, in __init__
              || |     self._traceback = tf_stack.extract_stack()
              || |
              || |
              ||

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 278, in main
    raise InvalidSubmission(msg) from e
duckietown_challenges.exceptions.InvalidSubmission: Getting agent protocol

Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.

No reset possible

75174

sim-2of4

failed

2021-04-22 00:19:50+00:00

2021-04-22 00:20:29+00:00

0:00:39

InvalidSubmission: T [...]

InvalidSubmission:
Traceback (most recent call last):
  File "/usr/local/lib/python3.8/site-packages/duckietown_experiment_manager/code.py", line 271, in main
    robot_ci.write_topic_and_expect_zero("seed", config.seed)
  File "/usr/local/lib/python3.8/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 143, in write_topic_and_expect_zero
    msgs = read_reply(self.fpout, timeout=timeout, nickname=self.nickname)
  File "/usr/local/lib/python3.8/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 309, in read_reply
    raise RemoteNodeAborted(msg)
zuper_nodes.structures.RemoteNodeAborted: The remote node "ego0" aborted with the following error:

error in ego0 |Unexpected error:
              |
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1365, in _do_call
              ||     return fn(*args)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1349, in _run_fn
              ||     return self._call_tf_sessionrun(options, feed_dict, fetch_list,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1441, in _call_tf_sessionrun
              ||     return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict,
              || tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              ||   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              ||   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || 	 [[default_policy/strided_slice_1/_3]]
              || 0 successful operations.
              || 0 derived errors ignored.
              ||
              || During handling of the above exception, another exception occurred:
              ||
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              ||     call_if_fun_exists(node, "init", context=context_data)
              ||   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 29, in init
              ||     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              ||   File "/submission/model.py", line 55, in __init__
              ||     self.model = PPOTrainer(config=config["rllib_config"])
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              ||     Trainer.__init__(self, config, env, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              ||     super().__init__(config, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              ||     self._setup(copy.deepcopy(self.config))
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              ||     self._init(self.config, self.env_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              ||     self.workers = self._make_workers(env_creator, self._policy,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              ||     return WorkerSet(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              ||     self._local_worker = self._make_worker(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              ||     worker = cls(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              ||     self._build_policy_map(policy_dict, policy_config)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              ||     policy_map[name] = cls(obs_space, act_space, merged_conf)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              ||     DynamicTFPolicy.__init__(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              ||     self._initialize_loss()
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              ||     postprocessed_batch = self.postprocess_trajectory(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              ||     return postprocess_fn(self, sample_batch, other_agent_batches,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              ||     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 86, in call
              ||     return session_or_none.run(symbolic_out[0], feed_dict)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 957, in run
              ||     result = self._run(None, fetches, feed_dict, options_ptr,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1180, in _run
              ||     results = self._do_run(handle, final_targets, final_fetches,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1358, in _do_run
              ||     return self._do_call(_run_fn, feeds, fetches, targets, options,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1384, in _do_call
              ||     raise type(e)(node_def, op, message)
              || tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              ||   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              ||   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || 	 [[default_policy/strided_slice_1/_3]]
              || 0 successful operations.
              || 0 derived errors ignored.
              ||
              || Original stack trace for 'default_policy/functional_1_1/conv_value_1/Relu':
              ||   File "solution.py", line 127, in <module>
              ||     main()
              ||   File "solution.py", line 123, in main
              ||     wrap_direct(node=node, protocol=protocol)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/interface.py", line 24, in wrap_direct
              ||     run_loop(node, protocol, args)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 243, in run_loop
              ||     loop(node_name, fi, fo, node, protocol, tin, tout, config=config, fi_desc=fin, fo_desc=fout)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              ||     call_if_fun_exists(node, "init", context=context_data)
              ||   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 29, in init
              ||     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              ||   File "/submission/model.py", line 55, in __init__
              ||     self.model = PPOTrainer(config=config["rllib_config"])
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              ||     Trainer.__init__(self, config, env, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              ||     super().__init__(config, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              ||     self._setup(copy.deepcopy(self.config))
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              ||     self._init(self.config, self.env_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              ||     self.workers = self._make_workers(env_creator, self._policy,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              ||     return WorkerSet(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              ||     self._local_worker = self._make_worker(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              ||     worker = cls(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              ||     self._build_policy_map(policy_dict, policy_config)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              ||     policy_map[name] = cls(obs_space, act_space, merged_conf)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              ||     DynamicTFPolicy.__init__(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              ||     self._initialize_loss()
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              ||     postprocessed_batch = self.postprocess_trajectory(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              ||     return postprocess_fn(self, sample_batch, other_agent_batches,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              ||     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 84, in call
              ||     symbolic_out[0] = fn(*placeholders)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 235, in value
              ||     model_out, _ = self.model({
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/modelv2.py", line 150, in __call__
              ||     res = self.forward(restored, state or [], seq_lens)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py", line 103, in forward
              ||     model_out, self._value_out = self.base_model(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              ||     outputs = call_fn(cast_inputs, *args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 385, in call
              ||     return self._run_internal_graph(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 508, in _run_internal_graph
              ||     outputs = node.layer(*args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              ||     outputs = call_fn(cast_inputs, *args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/layers/convolutional.py", line 269, in call
              ||     return self.activation(outputs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/gen_nn_ops.py", line 10435, in relu
              ||     _, _, _op, _outputs = _op_def_library._apply_op_helper(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/op_def_library.py", line 742, in _apply_op_helper
              ||     op = g._create_op_internal(op_type_name, inputs, dtypes=None,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 3477, in _create_op_internal
              ||     ret = Operation(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 1949, in __init__
              ||     self._traceback = tf_stack.extract_stack()
              ||
              ||
              || The above exception was the direct cause of the following exception:
              ||
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 339, in loop
              ||     raise Exception(msg) from e
              || Exception: Exception while calling the node's init() function.
              ||
              || | Traceback (most recent call last):
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1365, in _do_call
              || |     return fn(*args)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1349, in _run_fn
              || |     return self._call_tf_sessionrun(options, feed_dict, fetch_list,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1441, in _call_tf_sessionrun
              || |     return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict,
              || | tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              || |   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || |   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || | 	 [[default_policy/strided_slice_1/_3]]
              || | 0 successful operations.
              || | 0 derived errors ignored.
              || |
              || | During handling of the above exception, another exception occurred:
              || |
              || | Traceback (most recent call last):
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              || |     call_if_fun_exists(node, "init", context=context_data)
              || |   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 29, in init
              || |     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              || |   File "/submission/model.py", line 55, in __init__
              || |     self.model = PPOTrainer(config=config["rllib_config"])
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              || |     Trainer.__init__(self, config, env, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              || |     super().__init__(config, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              || |     self._setup(copy.deepcopy(self.config))
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              || |     self._init(self.config, self.env_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              || |     self.workers = self._make_workers(env_creator, self._policy,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              || |     return WorkerSet(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              || |     self._local_worker = self._make_worker(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              || |     worker = cls(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              || |     self._build_policy_map(policy_dict, policy_config)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              || |     policy_map[name] = cls(obs_space, act_space, merged_conf)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              || |     DynamicTFPolicy.__init__(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              || |     self._initialize_loss()
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              || |     postprocessed_batch = self.postprocess_trajectory(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              || |     return postprocess_fn(self, sample_batch, other_agent_batches,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              || |     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 86, in call
              || |     return session_or_none.run(symbolic_out[0], feed_dict)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 957, in run
              || |     result = self._run(None, fetches, feed_dict, options_ptr,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1180, in _run
              || |     results = self._do_run(handle, final_targets, final_fetches,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1358, in _do_run
              || |     return self._do_call(_run_fn, feeds, fetches, targets, options,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1384, in _do_call
              || |     raise type(e)(node_def, op, message)
              || | tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              || |   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || |   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || | 	 [[default_policy/strided_slice_1/_3]]
              || | 0 successful operations.
              || | 0 derived errors ignored.
              || |
              || | Original stack trace for 'default_policy/functional_1_1/conv_value_1/Relu':
              || |   File "solution.py", line 127, in <module>
              || |     main()
              || |   File "solution.py", line 123, in main
              || |     wrap_direct(node=node, protocol=protocol)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/interface.py", line 24, in wrap_direct
              || |     run_loop(node, protocol, args)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 243, in run_loop
              || |     loop(node_name, fi, fo, node, protocol, tin, tout, config=config, fi_desc=fin, fo_desc=fout)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              || |     call_if_fun_exists(node, "init", context=context_data)
              || |   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 29, in init
              || |     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              || |   File "/submission/model.py", line 55, in __init__
              || |     self.model = PPOTrainer(config=config["rllib_config"])
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              || |     Trainer.__init__(self, config, env, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              || |     super().__init__(config, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              || |     self._setup(copy.deepcopy(self.config))
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              || |     self._init(self.config, self.env_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              || |     self.workers = self._make_workers(env_creator, self._policy,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              || |     return WorkerSet(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              || |     self._local_worker = self._make_worker(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              || |     worker = cls(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              || |     self._build_policy_map(policy_dict, policy_config)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              || |     policy_map[name] = cls(obs_space, act_space, merged_conf)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              || |     DynamicTFPolicy.__init__(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              || |     self._initialize_loss()
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              || |     postprocessed_batch = self.postprocess_trajectory(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              || |     return postprocess_fn(self, sample_batch, other_agent_batches,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              || |     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 84, in call
              || |     symbolic_out[0] = fn(*placeholders)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 235, in value
              || |     model_out, _ = self.model({
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/modelv2.py", line 150, in __call__
              || |     res = self.forward(restored, state or [], seq_lens)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py", line 103, in forward
              || |     model_out, self._value_out = self.base_model(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              || |     outputs = call_fn(cast_inputs, *args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 385, in call
              || |     return self._run_internal_graph(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 508, in _run_internal_graph
              || |     outputs = node.layer(*args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              || |     outputs = call_fn(cast_inputs, *args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/layers/convolutional.py", line 269, in call
              || |     return self.activation(outputs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/gen_nn_ops.py", line 10435, in relu
              || |     _, _, _op, _outputs = _op_def_library._apply_op_helper(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/op_def_library.py", line 742, in _apply_op_helper
              || |     op = g._create_op_internal(op_type_name, inputs, dtypes=None,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 3477, in _create_op_internal
              || |     ret = Operation(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 1949, in __init__
              || |     self._traceback = tf_stack.extract_stack()
              || |
              || |
              ||

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 278, in main
    raise InvalidSubmission(msg) from e
duckietown_challenges.exceptions.InvalidSubmission: Getting agent protocol

Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.

No reset possible

75167

sim-2of4

failed

2021-04-22 00:19:03+00:00

2021-04-22 00:19:44+00:00

0:00:41

InvalidSubmission: T [...]

InvalidSubmission:
Traceback (most recent call last):
  File "/usr/local/lib/python3.8/site-packages/duckietown_experiment_manager/code.py", line 271, in main
    robot_ci.write_topic_and_expect_zero("seed", config.seed)
  File "/usr/local/lib/python3.8/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 143, in write_topic_and_expect_zero
    msgs = read_reply(self.fpout, timeout=timeout, nickname=self.nickname)
  File "/usr/local/lib/python3.8/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 309, in read_reply
    raise RemoteNodeAborted(msg)
zuper_nodes.structures.RemoteNodeAborted: The remote node "ego0" aborted with the following error:

error in ego0 |Unexpected error:
              |
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1365, in _do_call
              ||     return fn(*args)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1349, in _run_fn
              ||     return self._call_tf_sessionrun(options, feed_dict, fetch_list,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1441, in _call_tf_sessionrun
              ||     return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict,
              || tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              ||   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || 	 [[default_policy/strided_slice_1/_3]]
              ||   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || 0 successful operations.
              || 0 derived errors ignored.
              ||
              || During handling of the above exception, another exception occurred:
              ||
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              ||     call_if_fun_exists(node, "init", context=context_data)
              ||   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 29, in init
              ||     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              ||   File "/submission/model.py", line 55, in __init__
              ||     self.model = PPOTrainer(config=config["rllib_config"])
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              ||     Trainer.__init__(self, config, env, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              ||     super().__init__(config, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              ||     self._setup(copy.deepcopy(self.config))
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              ||     self._init(self.config, self.env_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              ||     self.workers = self._make_workers(env_creator, self._policy,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              ||     return WorkerSet(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              ||     self._local_worker = self._make_worker(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              ||     worker = cls(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              ||     self._build_policy_map(policy_dict, policy_config)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              ||     policy_map[name] = cls(obs_space, act_space, merged_conf)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              ||     DynamicTFPolicy.__init__(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              ||     self._initialize_loss()
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              ||     postprocessed_batch = self.postprocess_trajectory(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              ||     return postprocess_fn(self, sample_batch, other_agent_batches,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              ||     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 86, in call
              ||     return session_or_none.run(symbolic_out[0], feed_dict)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 957, in run
              ||     result = self._run(None, fetches, feed_dict, options_ptr,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1180, in _run
              ||     results = self._do_run(handle, final_targets, final_fetches,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1358, in _do_run
              ||     return self._do_call(_run_fn, feeds, fetches, targets, options,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1384, in _do_call
              ||     raise type(e)(node_def, op, message)
              || tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              ||   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || 	 [[default_policy/strided_slice_1/_3]]
              ||   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || 0 successful operations.
              || 0 derived errors ignored.
              ||
              || Original stack trace for 'default_policy/functional_1_1/conv_value_1/Relu':
              ||   File "solution.py", line 127, in <module>
              ||     main()
              ||   File "solution.py", line 123, in main
              ||     wrap_direct(node=node, protocol=protocol)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/interface.py", line 24, in wrap_direct
              ||     run_loop(node, protocol, args)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 243, in run_loop
              ||     loop(node_name, fi, fo, node, protocol, tin, tout, config=config, fi_desc=fin, fo_desc=fout)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              ||     call_if_fun_exists(node, "init", context=context_data)
              ||   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 29, in init
              ||     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              ||   File "/submission/model.py", line 55, in __init__
              ||     self.model = PPOTrainer(config=config["rllib_config"])
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              ||     Trainer.__init__(self, config, env, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              ||     super().__init__(config, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              ||     self._setup(copy.deepcopy(self.config))
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              ||     self._init(self.config, self.env_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              ||     self.workers = self._make_workers(env_creator, self._policy,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              ||     return WorkerSet(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              ||     self._local_worker = self._make_worker(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              ||     worker = cls(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              ||     self._build_policy_map(policy_dict, policy_config)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              ||     policy_map[name] = cls(obs_space, act_space, merged_conf)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              ||     DynamicTFPolicy.__init__(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              ||     self._initialize_loss()
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              ||     postprocessed_batch = self.postprocess_trajectory(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              ||     return postprocess_fn(self, sample_batch, other_agent_batches,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              ||     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 84, in call
              ||     symbolic_out[0] = fn(*placeholders)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 235, in value
              ||     model_out, _ = self.model({
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/modelv2.py", line 150, in __call__
              ||     res = self.forward(restored, state or [], seq_lens)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py", line 103, in forward
              ||     model_out, self._value_out = self.base_model(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              ||     outputs = call_fn(cast_inputs, *args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 385, in call
              ||     return self._run_internal_graph(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 508, in _run_internal_graph
              ||     outputs = node.layer(*args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              ||     outputs = call_fn(cast_inputs, *args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/layers/convolutional.py", line 269, in call
              ||     return self.activation(outputs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/gen_nn_ops.py", line 10435, in relu
              ||     _, _, _op, _outputs = _op_def_library._apply_op_helper(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/op_def_library.py", line 742, in _apply_op_helper
              ||     op = g._create_op_internal(op_type_name, inputs, dtypes=None,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 3477, in _create_op_internal
              ||     ret = Operation(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 1949, in __init__
              ||     self._traceback = tf_stack.extract_stack()
              ||
              ||
              || The above exception was the direct cause of the following exception:
              ||
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 339, in loop
              ||     raise Exception(msg) from e
              || Exception: Exception while calling the node's init() function.
              ||
              || | Traceback (most recent call last):
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1365, in _do_call
              || |     return fn(*args)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1349, in _run_fn
              || |     return self._call_tf_sessionrun(options, feed_dict, fetch_list,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1441, in _call_tf_sessionrun
              || |     return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict,
              || | tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              || |   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || | 	 [[default_policy/strided_slice_1/_3]]
              || |   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || | 0 successful operations.
              || | 0 derived errors ignored.
              || |
              || | During handling of the above exception, another exception occurred:
              || |
              || | Traceback (most recent call last):
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              || |     call_if_fun_exists(node, "init", context=context_data)
              || |   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 29, in init
              || |     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              || |   File "/submission/model.py", line 55, in __init__
              || |     self.model = PPOTrainer(config=config["rllib_config"])
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              || |     Trainer.__init__(self, config, env, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              || |     super().__init__(config, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              || |     self._setup(copy.deepcopy(self.config))
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              || |     self._init(self.config, self.env_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              || |     self.workers = self._make_workers(env_creator, self._policy,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              || |     return WorkerSet(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              || |     self._local_worker = self._make_worker(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              || |     worker = cls(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              || |     self._build_policy_map(policy_dict, policy_config)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              || |     policy_map[name] = cls(obs_space, act_space, merged_conf)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              || |     DynamicTFPolicy.__init__(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              || |     self._initialize_loss()
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              || |     postprocessed_batch = self.postprocess_trajectory(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              || |     return postprocess_fn(self, sample_batch, other_agent_batches,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              || |     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 86, in call
              || |     return session_or_none.run(symbolic_out[0], feed_dict)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 957, in run
              || |     result = self._run(None, fetches, feed_dict, options_ptr,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1180, in _run
              || |     results = self._do_run(handle, final_targets, final_fetches,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1358, in _do_run
              || |     return self._do_call(_run_fn, feeds, fetches, targets, options,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1384, in _do_call
              || |     raise type(e)(node_def, op, message)
              || | tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              || |   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || | 	 [[default_policy/strided_slice_1/_3]]
              || |   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || | 0 successful operations.
              || | 0 derived errors ignored.
              || |
              || | Original stack trace for 'default_policy/functional_1_1/conv_value_1/Relu':
              || |   File "solution.py", line 127, in <module>
              || |     main()
              || |   File "solution.py", line 123, in main
              || |     wrap_direct(node=node, protocol=protocol)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/interface.py", line 24, in wrap_direct
              || |     run_loop(node, protocol, args)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 243, in run_loop
              || |     loop(node_name, fi, fo, node, protocol, tin, tout, config=config, fi_desc=fin, fo_desc=fout)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              || |     call_if_fun_exists(node, "init", context=context_data)
              || |   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 29, in init
              || |     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              || |   File "/submission/model.py", line 55, in __init__
              || |     self.model = PPOTrainer(config=config["rllib_config"])
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              || |     Trainer.__init__(self, config, env, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              || |     super().__init__(config, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              || |     self._setup(copy.deepcopy(self.config))
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              || |     self._init(self.config, self.env_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              || |     self.workers = self._make_workers(env_creator, self._policy,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              || |     return WorkerSet(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              || |     self._local_worker = self._make_worker(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              || |     worker = cls(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              || |     self._build_policy_map(policy_dict, policy_config)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              || |     policy_map[name] = cls(obs_space, act_space, merged_conf)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              || |     DynamicTFPolicy.__init__(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              || |     self._initialize_loss()
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              || |     postprocessed_batch = self.postprocess_trajectory(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              || |     return postprocess_fn(self, sample_batch, other_agent_batches,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              || |     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 84, in call
              || |     symbolic_out[0] = fn(*placeholders)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 235, in value
              || |     model_out, _ = self.model({
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/modelv2.py", line 150, in __call__
              || |     res = self.forward(restored, state or [], seq_lens)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py", line 103, in forward
              || |     model_out, self._value_out = self.base_model(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              || |     outputs = call_fn(cast_inputs, *args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 385, in call
              || |     return self._run_internal_graph(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 508, in _run_internal_graph
              || |     outputs = node.layer(*args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              || |     outputs = call_fn(cast_inputs, *args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/layers/convolutional.py", line 269, in call
              || |     return self.activation(outputs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/gen_nn_ops.py", line 10435, in relu
              || |     _, _, _op, _outputs = _op_def_library._apply_op_helper(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/op_def_library.py", line 742, in _apply_op_helper
              || |     op = g._create_op_internal(op_type_name, inputs, dtypes=None,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 3477, in _create_op_internal
              || |     ret = Operation(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 1949, in __init__
              || |     self._traceback = tf_stack.extract_stack()
              || |
              || |
              ||

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 278, in main
    raise InvalidSubmission(msg) from e
duckietown_challenges.exceptions.InvalidSubmission: Getting agent protocol

Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.

No reset possible

75166

sim-1of4

failed

2021-04-22 00:19:02+00:00

2021-04-22 00:19:44+00:00

0:00:42

InvalidSubmission: T [...]

InvalidSubmission:
Traceback (most recent call last):
  File "/usr/local/lib/python3.8/site-packages/duckietown_experiment_manager/code.py", line 271, in main
    robot_ci.write_topic_and_expect_zero("seed", config.seed)
  File "/usr/local/lib/python3.8/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 143, in write_topic_and_expect_zero
    msgs = read_reply(self.fpout, timeout=timeout, nickname=self.nickname)
  File "/usr/local/lib/python3.8/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 309, in read_reply
    raise RemoteNodeAborted(msg)
zuper_nodes.structures.RemoteNodeAborted: The remote node "ego0" aborted with the following error:

error in ego0 |Unexpected error:
              |
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1365, in _do_call
              ||     return fn(*args)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1349, in _run_fn
              ||     return self._call_tf_sessionrun(options, feed_dict, fetch_list,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1441, in _call_tf_sessionrun
              ||     return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict,
              || tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              ||   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || 	 [[default_policy/strided_slice_1/_3]]
              ||   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || 0 successful operations.
              || 0 derived errors ignored.
              ||
              || During handling of the above exception, another exception occurred:
              ||
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              ||     call_if_fun_exists(node, "init", context=context_data)
              ||   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 29, in init
              ||     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              ||   File "/submission/model.py", line 55, in __init__
              ||     self.model = PPOTrainer(config=config["rllib_config"])
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              ||     Trainer.__init__(self, config, env, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              ||     super().__init__(config, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              ||     self._setup(copy.deepcopy(self.config))
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              ||     self._init(self.config, self.env_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              ||     self.workers = self._make_workers(env_creator, self._policy,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              ||     return WorkerSet(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              ||     self._local_worker = self._make_worker(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              ||     worker = cls(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              ||     self._build_policy_map(policy_dict, policy_config)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              ||     policy_map[name] = cls(obs_space, act_space, merged_conf)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              ||     DynamicTFPolicy.__init__(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              ||     self._initialize_loss()
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              ||     postprocessed_batch = self.postprocess_trajectory(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              ||     return postprocess_fn(self, sample_batch, other_agent_batches,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              ||     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 86, in call
              ||     return session_or_none.run(symbolic_out[0], feed_dict)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 957, in run
              ||     result = self._run(None, fetches, feed_dict, options_ptr,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1180, in _run
              ||     results = self._do_run(handle, final_targets, final_fetches,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1358, in _do_run
              ||     return self._do_call(_run_fn, feeds, fetches, targets, options,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1384, in _do_call
              ||     raise type(e)(node_def, op, message)
              || tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              ||   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || 	 [[default_policy/strided_slice_1/_3]]
              ||   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || 0 successful operations.
              || 0 derived errors ignored.
              ||
              || Original stack trace for 'default_policy/functional_1_1/conv_value_1/Relu':
              ||   File "solution.py", line 127, in <module>
              ||     main()
              ||   File "solution.py", line 123, in main
              ||     wrap_direct(node=node, protocol=protocol)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/interface.py", line 24, in wrap_direct
              ||     run_loop(node, protocol, args)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 243, in run_loop
              ||     loop(node_name, fi, fo, node, protocol, tin, tout, config=config, fi_desc=fin, fo_desc=fout)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              ||     call_if_fun_exists(node, "init", context=context_data)
              ||   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 29, in init
              ||     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              ||   File "/submission/model.py", line 55, in __init__
              ||     self.model = PPOTrainer(config=config["rllib_config"])
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              ||     Trainer.__init__(self, config, env, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              ||     super().__init__(config, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              ||     self._setup(copy.deepcopy(self.config))
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              ||     self._init(self.config, self.env_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              ||     self.workers = self._make_workers(env_creator, self._policy,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              ||     return WorkerSet(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              ||     self._local_worker = self._make_worker(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              ||     worker = cls(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              ||     self._build_policy_map(policy_dict, policy_config)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              ||     policy_map[name] = cls(obs_space, act_space, merged_conf)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              ||     DynamicTFPolicy.__init__(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              ||     self._initialize_loss()
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              ||     postprocessed_batch = self.postprocess_trajectory(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              ||     return postprocess_fn(self, sample_batch, other_agent_batches,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              ||     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 84, in call
              ||     symbolic_out[0] = fn(*placeholders)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 235, in value
              ||     model_out, _ = self.model({
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/modelv2.py", line 150, in __call__
              ||     res = self.forward(restored, state or [], seq_lens)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py", line 103, in forward
              ||     model_out, self._value_out = self.base_model(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              ||     outputs = call_fn(cast_inputs, *args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 385, in call
              ||     return self._run_internal_graph(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 508, in _run_internal_graph
              ||     outputs = node.layer(*args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              ||     outputs = call_fn(cast_inputs, *args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/layers/convolutional.py", line 269, in call
              ||     return self.activation(outputs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/gen_nn_ops.py", line 10435, in relu
              ||     _, _, _op, _outputs = _op_def_library._apply_op_helper(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/op_def_library.py", line 742, in _apply_op_helper
              ||     op = g._create_op_internal(op_type_name, inputs, dtypes=None,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 3477, in _create_op_internal
              ||     ret = Operation(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 1949, in __init__
              ||     self._traceback = tf_stack.extract_stack()
              ||
              ||
              || The above exception was the direct cause of the following exception:
              ||
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 339, in loop
              ||     raise Exception(msg) from e
              || Exception: Exception while calling the node's init() function.
              ||
              || | Traceback (most recent call last):
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1365, in _do_call
              || |     return fn(*args)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1349, in _run_fn
              || |     return self._call_tf_sessionrun(options, feed_dict, fetch_list,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1441, in _call_tf_sessionrun
              || |     return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict,
              || | tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              || |   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || | 	 [[default_policy/strided_slice_1/_3]]
              || |   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || | 0 successful operations.
              || | 0 derived errors ignored.
              || |
              || | During handling of the above exception, another exception occurred:
              || |
              || | Traceback (most recent call last):
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              || |     call_if_fun_exists(node, "init", context=context_data)
              || |   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 29, in init
              || |     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              || |   File "/submission/model.py", line 55, in __init__
              || |     self.model = PPOTrainer(config=config["rllib_config"])
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              || |     Trainer.__init__(self, config, env, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              || |     super().__init__(config, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              || |     self._setup(copy.deepcopy(self.config))
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              || |     self._init(self.config, self.env_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              || |     self.workers = self._make_workers(env_creator, self._policy,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              || |     return WorkerSet(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              || |     self._local_worker = self._make_worker(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              || |     worker = cls(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              || |     self._build_policy_map(policy_dict, policy_config)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              || |     policy_map[name] = cls(obs_space, act_space, merged_conf)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              || |     DynamicTFPolicy.__init__(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              || |     self._initialize_loss()
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              || |     postprocessed_batch = self.postprocess_trajectory(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              || |     return postprocess_fn(self, sample_batch, other_agent_batches,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              || |     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 86, in call
              || |     return session_or_none.run(symbolic_out[0], feed_dict)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 957, in run
              || |     result = self._run(None, fetches, feed_dict, options_ptr,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1180, in _run
              || |     results = self._do_run(handle, final_targets, final_fetches,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1358, in _do_run
              || |     return self._do_call(_run_fn, feeds, fetches, targets, options,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1384, in _do_call
              || |     raise type(e)(node_def, op, message)
              || | tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              || |   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || | 	 [[default_policy/strided_slice_1/_3]]
              || |   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || | 0 successful operations.
              || | 0 derived errors ignored.
              || |
              || | Original stack trace for 'default_policy/functional_1_1/conv_value_1/Relu':
              || |   File "solution.py", line 127, in <module>
              || |     main()
              || |   File "solution.py", line 123, in main
              || |     wrap_direct(node=node, protocol=protocol)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/interface.py", line 24, in wrap_direct
              || |     run_loop(node, protocol, args)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 243, in run_loop
              || |     loop(node_name, fi, fo, node, protocol, tin, tout, config=config, fi_desc=fin, fo_desc=fout)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              || |     call_if_fun_exists(node, "init", context=context_data)
              || |   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 29, in init
              || |     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              || |   File "/submission/model.py", line 55, in __init__
              || |     self.model = PPOTrainer(config=config["rllib_config"])
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              || |     Trainer.__init__(self, config, env, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              || |     super().__init__(config, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              || |     self._setup(copy.deepcopy(self.config))
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              || |     self._init(self.config, self.env_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              || |     self.workers = self._make_workers(env_creator, self._policy,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              || |     return WorkerSet(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              || |     self._local_worker = self._make_worker(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              || |     worker = cls(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              || |     self._build_policy_map(policy_dict, policy_config)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              || |     policy_map[name] = cls(obs_space, act_space, merged_conf)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              || |     DynamicTFPolicy.__init__(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              || |     self._initialize_loss()
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              || |     postprocessed_batch = self.postprocess_trajectory(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              || |     return postprocess_fn(self, sample_batch, other_agent_batches,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              || |     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 84, in call
              || |     symbolic_out[0] = fn(*placeholders)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 235, in value
              || |     model_out, _ = self.model({
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/modelv2.py", line 150, in __call__
              || |     res = self.forward(restored, state or [], seq_lens)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py", line 103, in forward
              || |     model_out, self._value_out = self.base_model(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              || |     outputs = call_fn(cast_inputs, *args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 385, in call
              || |     return self._run_internal_graph(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 508, in _run_internal_graph
              || |     outputs = node.layer(*args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              || |     outputs = call_fn(cast_inputs, *args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/layers/convolutional.py", line 269, in call
              || |     return self.activation(outputs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/gen_nn_ops.py", line 10435, in relu
              || |     _, _, _op, _outputs = _op_def_library._apply_op_helper(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/op_def_library.py", line 742, in _apply_op_helper
              || |     op = g._create_op_internal(op_type_name, inputs, dtypes=None,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 3477, in _create_op_internal
              || |     ret = Operation(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 1949, in __init__
              || |     self._traceback = tf_stack.extract_stack()
              || |
              || |
              ||

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 278, in main
    raise InvalidSubmission(msg) from e
duckietown_challenges.exceptions.InvalidSubmission: Getting agent protocol

Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.

No reset possible

75165

sim-3of4

failed

2021-04-22 00:19:00+00:00

2021-04-22 00:19:40+00:00

0:00:40

InvalidSubmission: T [...]

InvalidSubmission:
Traceback (most recent call last):
  File "/usr/local/lib/python3.8/site-packages/duckietown_experiment_manager/code.py", line 271, in main
    robot_ci.write_topic_and_expect_zero("seed", config.seed)
  File "/usr/local/lib/python3.8/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 143, in write_topic_and_expect_zero
    msgs = read_reply(self.fpout, timeout=timeout, nickname=self.nickname)
  File "/usr/local/lib/python3.8/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 309, in read_reply
    raise RemoteNodeAborted(msg)
zuper_nodes.structures.RemoteNodeAborted: The remote node "ego0" aborted with the following error:

error in ego0 |Unexpected error:
              |
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1365, in _do_call
              ||     return fn(*args)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1349, in _run_fn
              ||     return self._call_tf_sessionrun(options, feed_dict, fetch_list,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1441, in _call_tf_sessionrun
              ||     return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict,
              || tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              ||   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || 	 [[default_policy/strided_slice_1/_3]]
              ||   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || 0 successful operations.
              || 0 derived errors ignored.
              ||
              || During handling of the above exception, another exception occurred:
              ||
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              ||     call_if_fun_exists(node, "init", context=context_data)
              ||   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 29, in init
              ||     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              ||   File "/submission/model.py", line 55, in __init__
              ||     self.model = PPOTrainer(config=config["rllib_config"])
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              ||     Trainer.__init__(self, config, env, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              ||     super().__init__(config, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              ||     self._setup(copy.deepcopy(self.config))
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              ||     self._init(self.config, self.env_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              ||     self.workers = self._make_workers(env_creator, self._policy,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              ||     return WorkerSet(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              ||     self._local_worker = self._make_worker(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              ||     worker = cls(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              ||     self._build_policy_map(policy_dict, policy_config)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              ||     policy_map[name] = cls(obs_space, act_space, merged_conf)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              ||     DynamicTFPolicy.__init__(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              ||     self._initialize_loss()
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              ||     postprocessed_batch = self.postprocess_trajectory(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              ||     return postprocess_fn(self, sample_batch, other_agent_batches,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              ||     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 86, in call
              ||     return session_or_none.run(symbolic_out[0], feed_dict)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 957, in run
              ||     result = self._run(None, fetches, feed_dict, options_ptr,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1180, in _run
              ||     results = self._do_run(handle, final_targets, final_fetches,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1358, in _do_run
              ||     return self._do_call(_run_fn, feeds, fetches, targets, options,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1384, in _do_call
              ||     raise type(e)(node_def, op, message)
              || tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              ||   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || 	 [[default_policy/strided_slice_1/_3]]
              ||   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || 0 successful operations.
              || 0 derived errors ignored.
              ||
              || Original stack trace for 'default_policy/functional_1_1/conv_value_1/Relu':
              ||   File "solution.py", line 127, in <module>
              ||     main()
              ||   File "solution.py", line 123, in main
              ||     wrap_direct(node=node, protocol=protocol)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/interface.py", line 24, in wrap_direct
              ||     run_loop(node, protocol, args)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 243, in run_loop
              ||     loop(node_name, fi, fo, node, protocol, tin, tout, config=config, fi_desc=fin, fo_desc=fout)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              ||     call_if_fun_exists(node, "init", context=context_data)
              ||   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 29, in init
              ||     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              ||   File "/submission/model.py", line 55, in __init__
              ||     self.model = PPOTrainer(config=config["rllib_config"])
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              ||     Trainer.__init__(self, config, env, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              ||     super().__init__(config, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              ||     self._setup(copy.deepcopy(self.config))
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              ||     self._init(self.config, self.env_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              ||     self.workers = self._make_workers(env_creator, self._policy,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              ||     return WorkerSet(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              ||     self._local_worker = self._make_worker(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              ||     worker = cls(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              ||     self._build_policy_map(policy_dict, policy_config)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              ||     policy_map[name] = cls(obs_space, act_space, merged_conf)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              ||     DynamicTFPolicy.__init__(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              ||     self._initialize_loss()
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              ||     postprocessed_batch = self.postprocess_trajectory(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              ||     return postprocess_fn(self, sample_batch, other_agent_batches,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              ||     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 84, in call
              ||     symbolic_out[0] = fn(*placeholders)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 235, in value
              ||     model_out, _ = self.model({
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/modelv2.py", line 150, in __call__
              ||     res = self.forward(restored, state or [], seq_lens)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py", line 103, in forward
              ||     model_out, self._value_out = self.base_model(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              ||     outputs = call_fn(cast_inputs, *args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 385, in call
              ||     return self._run_internal_graph(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 508, in _run_internal_graph
              ||     outputs = node.layer(*args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              ||     outputs = call_fn(cast_inputs, *args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/layers/convolutional.py", line 269, in call
              ||     return self.activation(outputs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/gen_nn_ops.py", line 10435, in relu
              ||     _, _, _op, _outputs = _op_def_library._apply_op_helper(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/op_def_library.py", line 742, in _apply_op_helper
              ||     op = g._create_op_internal(op_type_name, inputs, dtypes=None,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 3477, in _create_op_internal
              ||     ret = Operation(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 1949, in __init__
              ||     self._traceback = tf_stack.extract_stack()
              ||
              ||
              || The above exception was the direct cause of the following exception:
              ||
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 339, in loop
              ||     raise Exception(msg) from e
              || Exception: Exception while calling the node's init() function.
              ||
              || | Traceback (most recent call last):
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1365, in _do_call
              || |     return fn(*args)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1349, in _run_fn
              || |     return self._call_tf_sessionrun(options, feed_dict, fetch_list,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1441, in _call_tf_sessionrun
              || |     return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict,
              || | tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              || |   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || | 	 [[default_policy/strided_slice_1/_3]]
              || |   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || | 0 successful operations.
              || | 0 derived errors ignored.
              || |
              || | During handling of the above exception, another exception occurred:
              || |
              || | Traceback (most recent call last):
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              || |     call_if_fun_exists(node, "init", context=context_data)
              || |   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 29, in init
              || |     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              || |   File "/submission/model.py", line 55, in __init__
              || |     self.model = PPOTrainer(config=config["rllib_config"])
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              || |     Trainer.__init__(self, config, env, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              || |     super().__init__(config, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              || |     self._setup(copy.deepcopy(self.config))
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              || |     self._init(self.config, self.env_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              || |     self.workers = self._make_workers(env_creator, self._policy,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              || |     return WorkerSet(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              || |     self._local_worker = self._make_worker(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              || |     worker = cls(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              || |     self._build_policy_map(policy_dict, policy_config)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              || |     policy_map[name] = cls(obs_space, act_space, merged_conf)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              || |     DynamicTFPolicy.__init__(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              || |     self._initialize_loss()
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              || |     postprocessed_batch = self.postprocess_trajectory(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              || |     return postprocess_fn(self, sample_batch, other_agent_batches,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              || |     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 86, in call
              || |     return session_or_none.run(symbolic_out[0], feed_dict)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 957, in run
              || |     result = self._run(None, fetches, feed_dict, options_ptr,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1180, in _run
              || |     results = self._do_run(handle, final_targets, final_fetches,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1358, in _do_run
              || |     return self._do_call(_run_fn, feeds, fetches, targets, options,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1384, in _do_call
              || |     raise type(e)(node_def, op, message)
              || | tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              || |   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || | 	 [[default_policy/strided_slice_1/_3]]
              || |   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || | 0 successful operations.
              || | 0 derived errors ignored.
              || |
              || | Original stack trace for 'default_policy/functional_1_1/conv_value_1/Relu':
              || |   File "solution.py", line 127, in <module>
              || |     main()
              || |   File "solution.py", line 123, in main
              || |     wrap_direct(node=node, protocol=protocol)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/interface.py", line 24, in wrap_direct
              || |     run_loop(node, protocol, args)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 243, in run_loop
              || |     loop(node_name, fi, fo, node, protocol, tin, tout, config=config, fi_desc=fin, fo_desc=fout)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              || |     call_if_fun_exists(node, "init", context=context_data)
              || |   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 29, in init
              || |     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              || |   File "/submission/model.py", line 55, in __init__
              || |     self.model = PPOTrainer(config=config["rllib_config"])
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              || |     Trainer.__init__(self, config, env, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              || |     super().__init__(config, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              || |     self._setup(copy.deepcopy(self.config))
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              || |     self._init(self.config, self.env_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              || |     self.workers = self._make_workers(env_creator, self._policy,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              || |     return WorkerSet(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              || |     self._local_worker = self._make_worker(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              || |     worker = cls(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              || |     self._build_policy_map(policy_dict, policy_config)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              || |     policy_map[name] = cls(obs_space, act_space, merged_conf)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              || |     DynamicTFPolicy.__init__(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              || |     self._initialize_loss()
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              || |     postprocessed_batch = self.postprocess_trajectory(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              || |     return postprocess_fn(self, sample_batch, other_agent_batches,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              || |     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 84, in call
              || |     symbolic_out[0] = fn(*placeholders)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 235, in value
              || |     model_out, _ = self.model({
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/modelv2.py", line 150, in __call__
              || |     res = self.forward(restored, state or [], seq_lens)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py", line 103, in forward
              || |     model_out, self._value_out = self.base_model(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              || |     outputs = call_fn(cast_inputs, *args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 385, in call
              || |     return self._run_internal_graph(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 508, in _run_internal_graph
              || |     outputs = node.layer(*args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              || |     outputs = call_fn(cast_inputs, *args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/layers/convolutional.py", line 269, in call
              || |     return self.activation(outputs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/gen_nn_ops.py", line 10435, in relu
              || |     _, _, _op, _outputs = _op_def_library._apply_op_helper(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/op_def_library.py", line 742, in _apply_op_helper
              || |     op = g._create_op_internal(op_type_name, inputs, dtypes=None,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 3477, in _create_op_internal
              || |     ret = Operation(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 1949, in __init__
              || |     self._traceback = tf_stack.extract_stack()
              || |
              || |
              ||

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 278, in main
    raise InvalidSubmission(msg) from e
duckietown_challenges.exceptions.InvalidSubmission: Getting agent protocol

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75164

sim-3of4

host-error

2021-04-22 00:18:00+00:00

2021-04-22 00:18:55+00:00

0:00:55

InvalidEnvironment: [...]

InvalidEnvironment:
Traceback (most recent call last):
  File "/usr/local/lib/python3.8/site-packages/duckietown_experiment_manager/code.py", line 271, in main
    robot_ci.write_topic_and_expect_zero("seed", config.seed)
  File "/usr/local/lib/python3.8/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 143, in write_topic_and_expect_zero
    msgs = read_reply(self.fpout, timeout=timeout, nickname=self.nickname)
  File "/usr/local/lib/python3.8/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 309, in read_reply
    raise RemoteNodeAborted(msg)
zuper_nodes.structures.RemoteNodeAborted: The remote node "ego0" aborted with the following error:

error in ego0 |Unexpected error:
              |
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1365, in _do_call
              ||     return fn(*args)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1349, in _run_fn
              ||     return self._call_tf_sessionrun(options, feed_dict, fetch_list,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1441, in _call_tf_sessionrun
              ||     return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict,
              || tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor with shape[11,11,32,256] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
              || 	 [[{{node default_policy/conv_value_3/kernel/Initializer/random_uniform/RandomUniform}}]]
              || Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info.
              ||
              ||
              || During handling of the above exception, another exception occurred:
              ||
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              ||     call_if_fun_exists(node, "init", context=context_data)
              ||   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 29, in init
              ||     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              ||   File "/submission/model.py", line 55, in __init__
              ||     self.model = PPOTrainer(config=config["rllib_config"])
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              ||     Trainer.__init__(self, config, env, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              ||     super().__init__(config, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              ||     self._setup(copy.deepcopy(self.config))
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              ||     self._init(self.config, self.env_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              ||     self.workers = self._make_workers(env_creator, self._policy,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              ||     return WorkerSet(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              ||     self._local_worker = self._make_worker(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              ||     worker = cls(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              ||     self._build_policy_map(policy_dict, policy_config)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              ||     policy_map[name] = cls(obs_space, act_space, merged_conf)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              ||     DynamicTFPolicy.__init__(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              ||     self._initialize_loss()
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 381, in _initialize_loss
              ||     self._sess.run(tf.global_variables_initializer())
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 957, in run
              ||     result = self._run(None, fetches, feed_dict, options_ptr,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1180, in _run
              ||     results = self._do_run(handle, final_targets, final_fetches,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1358, in _do_run
              ||     return self._do_call(_run_fn, feeds, fetches, targets, options,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1384, in _do_call
              ||     raise type(e)(node_def, op, message)
              || tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor with shape[11,11,32,256] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
              || 	 [[node default_policy/conv_value_3/kernel/Initializer/random_uniform/RandomUniform (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:83) ]]
              || Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info.
              ||
              ||
              || Original stack trace for 'default_policy/conv_value_3/kernel/Initializer/random_uniform/RandomUniform':
              ||   File "solution.py", line 127, in <module>
              ||     main()
              ||   File "solution.py", line 123, in main
              ||     wrap_direct(node=node, protocol=protocol)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/interface.py", line 24, in wrap_direct
              ||     run_loop(node, protocol, args)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 243, in run_loop
              ||     loop(node_name, fi, fo, node, protocol, tin, tout, config=config, fi_desc=fin, fo_desc=fout)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              ||     call_if_fun_exists(node, "init", context=context_data)
              ||   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 29, in init
              ||     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              ||   File "/submission/model.py", line 55, in __init__
              ||     self.model = PPOTrainer(config=config["rllib_config"])
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              ||     Trainer.__init__(self, config, env, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              ||     super().__init__(config, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              ||     self._setup(copy.deepcopy(self.config))
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              ||     self._init(self.config, self.env_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              ||     self.workers = self._make_workers(env_creator, self._policy,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              ||     return WorkerSet(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              ||     self._local_worker = self._make_worker(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              ||     worker = cls(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              ||     self._build_policy_map(policy_dict, policy_config)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              ||     policy_map[name] = cls(obs_space, act_space, merged_conf)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              ||     DynamicTFPolicy.__init__(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 147, in __init__
              ||     self.model = ModelCatalog.get_model_v2(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/catalog.py", line 347, in get_model_v2
              ||     return wrapper(obs_space, action_space, num_outputs, model_config,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py", line 83, in __init__
              ||     last_layer = tf.keras.layers.Conv2D(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 757, in __call__
              ||     self._maybe_build(inputs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 2098, in _maybe_build
              ||     self.build(input_shapes)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/layers/convolutional.py", line 197, in build
              ||     self.kernel = self.add_weight(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 431, in add_weight
              ||     variable = self._add_variable_with_custom_getter(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/training/tracking/base.py", line 745, in _add_variable_with_custom_getter
              ||     new_variable = getter(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_utils.py", line 133, in make_variable
              ||     return tf_variables.VariableV1(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py", line 260, in __call__
              ||     return cls._variable_v1_call(*args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py", line 206, in _variable_v1_call
              ||     return previous_getter(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py", line 199, in <lambda>
              ||     previous_getter = lambda **kwargs: default_variable_creator(None, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variable_scope.py", line 2583, in default_variable_creator
              ||     return resource_variable_ops.ResourceVariable(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py", line 264, in __call__
              ||     return super(VariableMetaclass, cls).__call__(*args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/resource_variable_ops.py", line 1507, in __init__
              ||     self._init_from_args(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/resource_variable_ops.py", line 1651, in _init_from_args
              ||     initial_value() if init_from_fn else initial_value,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/init_ops.py", line 518, in __call__
              ||     return random_ops.random_uniform(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py", line 201, in wrapper
              ||     return target(*args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/random_ops.py", line 301, in random_uniform
              ||     result = gen_random_ops.random_uniform(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/gen_random_ops.py", line 742, in random_uniform
              ||     _, _, _op, _outputs = _op_def_library._apply_op_helper(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/op_def_library.py", line 742, in _apply_op_helper
              ||     op = g._create_op_internal(op_type_name, inputs, dtypes=None,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 3477, in _create_op_internal
              ||     ret = Operation(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 1949, in __init__
              ||     self._traceback = tf_stack.extract_stack()
              ||
              ||
              || The above exception was the direct cause of the following exception:
              ||
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 339, in loop
              ||     raise Exception(msg) from e
              || Exception: Exception while calling the node's init() function.
              ||
              || | Traceback (most recent call last):
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1365, in _do_call
              || |     return fn(*args)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1349, in _run_fn
              || |     return self._call_tf_sessionrun(options, feed_dict, fetch_list,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1441, in _call_tf_sessionrun
              || |     return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict,
              || | tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor with shape[11,11,32,256] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
              || | 	 [[{{node default_policy/conv_value_3/kernel/Initializer/random_uniform/RandomUniform}}]]
              || | Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info.
              || |
              || |
              || | During handling of the above exception, another exception occurred:
              || |
              || | Traceback (most recent call last):
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              || |     call_if_fun_exists(node, "init", context=context_data)
              || |   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 29, in init
              || |     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              || |   File "/submission/model.py", line 55, in __init__
              || |     self.model = PPOTrainer(config=config["rllib_config"])
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              || |     Trainer.__init__(self, config, env, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              || |     super().__init__(config, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              || |     self._setup(copy.deepcopy(self.config))
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              || |     self._init(self.config, self.env_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              || |     self.workers = self._make_workers(env_creator, self._policy,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              || |     return WorkerSet(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              || |     self._local_worker = self._make_worker(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              || |     worker = cls(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              || |     self._build_policy_map(policy_dict, policy_config)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              || |     policy_map[name] = cls(obs_space, act_space, merged_conf)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              || |     DynamicTFPolicy.__init__(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              || |     self._initialize_loss()
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 381, in _initialize_loss
              || |     self._sess.run(tf.global_variables_initializer())
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 957, in run
              || |     result = self._run(None, fetches, feed_dict, options_ptr,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1180, in _run
              || |     results = self._do_run(handle, final_targets, final_fetches,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1358, in _do_run
              || |     return self._do_call(_run_fn, feeds, fetches, targets, options,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1384, in _do_call
              || |     raise type(e)(node_def, op, message)
              || | tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor with shape[11,11,32,256] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
              || | 	 [[node default_policy/conv_value_3/kernel/Initializer/random_uniform/RandomUniform (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:83) ]]
              || | Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info.
              || |
              || |
              || | Original stack trace for 'default_policy/conv_value_3/kernel/Initializer/random_uniform/RandomUniform':
              || |   File "solution.py", line 127, in <module>
              || |     main()
              || |   File "solution.py", line 123, in main
              || |     wrap_direct(node=node, protocol=protocol)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/interface.py", line 24, in wrap_direct
              || |     run_loop(node, protocol, args)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 243, in run_loop
              || |     loop(node_name, fi, fo, node, protocol, tin, tout, config=config, fi_desc=fin, fo_desc=fout)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              || |     call_if_fun_exists(node, "init", context=context_data)
              || |   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 29, in init
              || |     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              || |   File "/submission/model.py", line 55, in __init__
              || |     self.model = PPOTrainer(config=config["rllib_config"])
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              || |     Trainer.__init__(self, config, env, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              || |     super().__init__(config, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              || |     self._setup(copy.deepcopy(self.config))
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              || |     self._init(self.config, self.env_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              || |     self.workers = self._make_workers(env_creator, self._policy,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              || |     return WorkerSet(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              || |     self._local_worker = self._make_worker(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              || |     worker = cls(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              || |     self._build_policy_map(policy_dict, policy_config)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              || |     policy_map[name] = cls(obs_space, act_space, merged_conf)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              || |     DynamicTFPolicy.__init__(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 147, in __init__
              || |     self.model = ModelCatalog.get_model_v2(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/catalog.py", line 347, in get_model_v2
              || |     return wrapper(obs_space, action_space, num_outputs, model_config,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py", line 83, in __init__
              || |     last_layer = tf.keras.layers.Conv2D(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 757, in __call__
              || |     self._maybe_build(inputs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 2098, in _maybe_build
              || |     self.build(input_shapes)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/layers/convolutional.py", line 197, in build
              || |     self.kernel = self.add_weight(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 431, in add_weight
              || |     variable = self._add_variable_with_custom_getter(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/training/tracking/base.py", line 745, in _add_variable_with_custom_getter
              || |     new_variable = getter(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_utils.py", line 133, in make_variable
              || |     return tf_variables.VariableV1(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py", line 260, in __call__
              || |     return cls._variable_v1_call(*args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py", line 206, in _variable_v1_call
              || |     return previous_getter(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py", line 199, in <lambda>
              || |     previous_getter = lambda **kwargs: default_variable_creator(None, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variable_scope.py", line 2583, in default_variable_creator
              || |     return resource_variable_ops.ResourceVariable(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py", line 264, in __call__
              || |     return super(VariableMetaclass, cls).__call__(*args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/resource_variable_ops.py", line 1507, in __init__
              || |     self._init_from_args(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/resource_variable_ops.py", line 1651, in _init_from_args
              || |     initial_value() if init_from_fn else initial_value,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/init_ops.py", line 518, in __call__
              || |     return random_ops.random_uniform(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py", line 201, in wrapper
              || |     return target(*args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/random_ops.py", line 301, in random_uniform
              || |     result = gen_random_ops.random_uniform(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/gen_random_ops.py", line 742, in random_uniform
              || |     _, _, _op, _outputs = _op_def_library._apply_op_helper(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/op_def_library.py", line 742, in _apply_op_helper
              || |     op = g._create_op_internal(op_type_name, inputs, dtypes=None,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 3477, in _create_op_internal
              || |     ret = Operation(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 1949, in __init__
              || |     self._traceback = tf_stack.extract_stack()
              || |
              || |
              ||

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 277, in main
    raise InvalidEnvironment(msg) from e
duckietown_challenges.exceptions.InvalidEnvironment: Detected out of CUDA memory:

Traceback (most recent call last):
  File "/usr/local/lib/python3.8/site-packages/duckietown_experiment_manager/code.py", line 271, in main
    robot_ci.write_topic_and_expect_zero("seed", config.seed)
  File "/usr/local/lib/python3.8/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 143, in write_topic_and_expect_zero
    msgs = read_reply(self.fpout, timeout=timeout, nickname=self.nickname)
  File "/usr/local/lib/python3.8/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 309, in read_reply
    raise RemoteNodeAborted(msg)
zuper_nodes.structures.RemoteNodeAborted: The remote node "ego0" aborted with the following error:

error in ego0 |Unexpected error:
              |
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1365, in _do_call
              ||     return fn(*args)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1349, in _run_fn
              ||     return self._call_tf_sessionrun(options, feed_dict, fetch_list,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1441, in _call_tf_sessionrun
              ||     return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict,
              || tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor with shape[11,11,32,256] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
              || 	 [[{{node default_policy/conv_value_3/kernel/Initializer/random_uniform/RandomUniform}}]]
              || Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info.
              ||
              ||
              || During handling of the above exception, another exception occurred:
              ||
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              ||     call_if_fun_exists(node, "init", context=context_data)
              ||   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 29, in init
              ||     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              ||   File "/submission/model.py", line 55, in __init__
              ||     self.model = PPOTrainer(config=config["rllib_config"])
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              ||     Trainer.__init__(self, config, env, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              ||     super().__init__(config, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              ||     self._setup(copy.deepcopy(self.config))
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              ||     self._init(self.config, self.env_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              ||     self.workers = self._make_workers(env_creator, self._policy,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              ||     return WorkerSet(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              ||     self._local_worker = self._make_worker(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              ||     worker = cls(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              ||     self._build_policy_map(policy_dict, policy_config)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              ||     policy_map[name] = cls(obs_space, act_space, merged_conf)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              ||     DynamicTFPolicy.__init__(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              ||     self._initialize_loss()
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 381, in _initialize_loss
              ||     self._sess.run(tf.global_variables_initializer())
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 957, in run
              ||     result = self._run(None, fetches, feed_dict, options_ptr,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1180, in _run
              ||     results = self._do_run(handle, final_targets, final_fetches,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1358, in _do_run
              ||     return self._do_call(_run_fn, feeds, fetches, targets, options,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1384, in _do_call
              ||     raise type(e)(node_def, op, message)
              || tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor with shape[11,11,32,256] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
              || 	 [[node default_policy/conv_value_3/kernel/Initializer/random_uniform/RandomUniform (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:83) ]]
              || Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info.
              ||
              ||
              || Original stack trace for 'default_policy/conv_value_3/kernel/Initializer/random_uniform/RandomUniform':
              ||   File "solution.py", line 127, in <module>
              ||     main()
              ||   File "solution.py", line 123, in main
              ||     wrap_direct(node=node, protocol=protocol)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/interface.py", line 24, in wrap_direct
              ||     run_loop(node, protocol, args)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 243, in run_loop
              ||     loop(node_name, fi, fo, node, protocol, tin, tout, config=config, fi_desc=fin, fo_desc=fout)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              ||     call_if_fun_exists(node, "init", context=context_data)
              ||   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 29, in init
              ||     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              ||   File "/submission/model.py", line 55, in __init__
              ||     self.model = PPOTrainer(config=config["rllib_config"])
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              ||     Trainer.__init__(self, config, env, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              ||     super().__init__(config, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              ||     self._setup(copy.deepcopy(self.config))
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              ||     self._init(self.config, self.env_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              ||     self.workers = self._make_workers(env_creator, self._policy,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              ||     return WorkerSet(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              ||     self._local_worker = self._make_worker(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              ||     worker = cls(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              ||     self._build_policy_map(policy_dict, policy_config)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              ||     policy_map[name] = cls(obs_space, act_space, merged_conf)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              ||     DynamicTFPolicy.__init__(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 147, in __init__
              ||     self.model = ModelCatalog.get_model_v2(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/catalog.py", line 347, in get_model_v2
              ||     return wrapper(obs_space, action_space, num_outputs, model_config,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py", line 83, in __init__
              ||     last_layer = tf.keras.layers.Conv2D(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 757, in __call__
              ||     self._maybe_build(inputs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 2098, in _maybe_build
              ||     self.build(input_shapes)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/layers/convolutional.py", line 197, in build
              ||     self.kernel = self.add_weight(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 431, in add_weight
              ||     variable = self._add_variable_with_custom_getter(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/training/tracking/base.py", line 745, in _add_variable_with_custom_getter
              ||     new_variable = getter(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_utils.py", line 133, in make_variable
              ||     return tf_variables.VariableV1(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py", line 260, in __call__
              ||     return cls._variable_v1_call(*args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py", line 206, in _variable_v1_call
              ||     return previous_getter(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py", line 199, in <lambda>
              ||     previous_getter = lambda **kwargs: default_variable_creator(None, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variable_scope.py", line 2583, in default_variable_creator
              ||     return resource_variable_ops.ResourceVariable(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py", line 264, in __call__
              ||     return super(VariableMetaclass, cls).__call__(*args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/resource_variable_ops.py", line 1507, in __init__
              ||     self._init_from_args(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/resource_variable_ops.py", line 1651, in _init_from_args
              ||     initial_value() if init_from_fn else initial_value,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/init_ops.py", line 518, in __call__
              ||     return random_ops.random_uniform(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py", line 201, in wrapper
              ||     return target(*args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/random_ops.py", line 301, in random_uniform
              ||     result = gen_random_ops.random_uniform(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/gen_random_ops.py", line 742, in random_uniform
              ||     _, _, _op, _outputs = _op_def_library._apply_op_helper(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/op_def_library.py", line 742, in _apply_op_helper
              ||     op = g._create_op_internal(op_type_name, inputs, dtypes=None,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 3477, in _create_op_internal
              ||     ret = Operation(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 1949, in __init__
              ||     self._traceback = tf_stack.extract_stack()
              ||
              ||
              || The above exception was the direct cause of the following exception:
              ||
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 339, in loop
              ||     raise Exception(msg) from e
              || Exception: Exception while calling the node's init() function.
              ||
              || | Traceback (most recent call last):
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1365, in _do_call
              || |     return fn(*args)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1349, in _run_fn
              || |     return self._call_tf_sessionrun(options, feed_dict, fetch_list,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1441, in _call_tf_sessionrun
              || |     return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict,
              || | tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor with shape[11,11,32,256] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
              || | 	 [[{{node default_policy/conv_value_3/kernel/Initializer/random_uniform/RandomUniform}}]]
              || | Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info.
              || |
              || |
              || | During handling of the above exception, another exception occurred:
              || |
              || | Traceback (most recent call last):
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              || |     call_if_fun_exists(node, "init", context=context_data)
              || |   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 29, in init
              || |     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              || |   File "/submission/model.py", line 55, in __init__
              || |     self.model = PPOTrainer(config=config["rllib_config"])
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              || |     Trainer.__init__(self, config, env, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              || |     super().__init__(config, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              || |     self._setup(copy.deepcopy(self.config))
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              || |     self._init(self.config, self.env_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              || |     self.workers = self._make_workers(env_creator, self._policy,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              || |     return WorkerSet(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              || |     self._local_worker = self._make_worker(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              || |     worker = cls(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              || |     self._build_policy_map(policy_dict, policy_config)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              || |     policy_map[name] = cls(obs_space, act_space, merged_conf)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              || |     DynamicTFPolicy.__init__(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              || |     self._initialize_loss()
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 381, in _initialize_loss
              || |     self._sess.run(tf.global_variables_initializer())
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 957, in run
              || |     result = self._run(None, fetches, feed_dict, options_ptr,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1180, in _run
              || |     results = self._do_run(handle, final_targets, final_fetches,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1358, in _do_run
              || |     return self._do_call(_run_fn, feeds, fetches, targets, options,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1384, in _do_call
              || |     raise type(e)(node_def, op, message)
              || | tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor with shape[11,11,32,256] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
              || | 	 [[node default_policy/conv_value_3/kernel/Initializer/random_uniform/RandomUniform (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:83) ]]
              || | Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info.
              || |
              || |
              || | Original stack trace for 'default_policy/conv_value_3/kernel/Initializer/random_uniform/RandomUniform':
              || |   File "solution.py", line 127, in <module>
              || |     main()
              || |   File "solution.py", line 123, in main
              || |     wrap_direct(node=node, protocol=protocol)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/interface.py", line 24, in wrap_direct
              || |     run_loop(node, protocol, args)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 243, in run_loop
              || |     loop(node_name, fi, fo, node, protocol, tin, tout, config=config, fi_desc=fin, fo_desc=fout)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              || |     call_if_fun_exists(node, "init", context=context_data)
              || |   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 29, in init
              || |     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              || |   File "/submission/model.py", line 55, in __init__
              || |     self.model = PPOTrainer(config=config["rllib_config"])
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              || |     Trainer.__init__(self, config, env, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              || |     super().__init__(config, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              || |     self._setup(copy.deepcopy(self.config))
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              || |     self._init(self.config, self.env_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              || |     self.workers = self._make_workers(env_creator, self._policy,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              || |     return WorkerSet(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              || |     self._local_worker = self._make_worker(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              || |     worker = cls(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              || |     self._build_policy_map(policy_dict, policy_config)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              || |     policy_map[name] = cls(obs_space, act_space, merged_conf)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              || |     DynamicTFPolicy.__init__(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 147, in __init__
              || |     self.model = ModelCatalog.get_model_v2(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/catalog.py", line 347, in get_model_v2
              || |     return wrapper(obs_space, action_space, num_outputs, model_config,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py", line 83, in __init__
              || |     last_layer = tf.keras.layers.Conv2D(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 757, in __call__
              || |     self._maybe_build(inputs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 2098, in _maybe_build
              || |     self.build(input_shapes)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/layers/convolutional.py", line 197, in build
              || |     self.kernel = self.add_weight(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 431, in add_weight
              || |     variable = self._add_variable_with_custom_getter(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/training/tracking/base.py", line 745, in _add_variable_with_custom_getter
              || |     new_variable = getter(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_utils.py", line 133, in make_variable
              || |     return tf_variables.VariableV1(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py", line 260, in __call__
              || |     return cls._variable_v1_call(*args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py", line 206, in _variable_v1_call
              || |     return previous_getter(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py", line 199, in <lambda>
              || |     previous_getter = lambda **kwargs: default_variable_creator(None, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variable_scope.py", line 2583, in default_variable_creator
              || |     return resource_variable_ops.ResourceVariable(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py", line 264, in __call__
              || |     return super(VariableMetaclass, cls).__call__(*args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/resource_variable_ops.py", line 1507, in __init__
              || |     self._init_from_args(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/resource_variable_ops.py", line 1651, in _init_from_args
              || |     initial_value() if init_from_fn else initial_value,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/init_ops.py", line 518, in __call__
              || |     return random_ops.random_uniform(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py", line 201, in wrapper
              || |     return target(*args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/random_ops.py", line 301, in random_uniform
              || |     result = gen_random_ops.random_uniform(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/gen_random_ops.py", line 742, in random_uniform
              || |     _, _, _op, _outputs = _op_def_library._apply_op_helper(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/op_def_library.py", line 742, in _apply_op_helper
              || |     op = g._create_op_internal(op_type_name, inputs, dtypes=None,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 3477, in _create_op_internal
              || |     ret = Operation(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 1949, in __init__
              || |     self._traceback = tf_stack.extract_stack()
              || |
              || |
              ||

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75163

sim-2of4

failed

2021-04-22 00:17:59+00:00

2021-04-22 00:18:43+00:00

0:00:44

InvalidSubmission: T [...]

InvalidSubmission:
Traceback (most recent call last):
  File "/usr/local/lib/python3.8/site-packages/duckietown_experiment_manager/code.py", line 271, in main
    robot_ci.write_topic_and_expect_zero("seed", config.seed)
  File "/usr/local/lib/python3.8/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 143, in write_topic_and_expect_zero
    msgs = read_reply(self.fpout, timeout=timeout, nickname=self.nickname)
  File "/usr/local/lib/python3.8/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 309, in read_reply
    raise RemoteNodeAborted(msg)
zuper_nodes.structures.RemoteNodeAborted: The remote node "ego0" aborted with the following error:

error in ego0 |Unexpected error:
              |
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1365, in _do_call
              ||     return fn(*args)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1349, in _run_fn
              ||     return self._call_tf_sessionrun(options, feed_dict, fetch_list,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1441, in _call_tf_sessionrun
              ||     return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict,
              || tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              ||   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              ||   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || 	 [[default_policy/strided_slice_1/_3]]
              || 0 successful operations.
              || 0 derived errors ignored.
              ||
              || During handling of the above exception, another exception occurred:
              ||
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              ||     call_if_fun_exists(node, "init", context=context_data)
              ||   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 29, in init
              ||     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              ||   File "/submission/model.py", line 55, in __init__
              ||     self.model = PPOTrainer(config=config["rllib_config"])
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              ||     Trainer.__init__(self, config, env, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              ||     super().__init__(config, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              ||     self._setup(copy.deepcopy(self.config))
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              ||     self._init(self.config, self.env_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              ||     self.workers = self._make_workers(env_creator, self._policy,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              ||     return WorkerSet(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              ||     self._local_worker = self._make_worker(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              ||     worker = cls(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              ||     self._build_policy_map(policy_dict, policy_config)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              ||     policy_map[name] = cls(obs_space, act_space, merged_conf)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              ||     DynamicTFPolicy.__init__(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              ||     self._initialize_loss()
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              ||     postprocessed_batch = self.postprocess_trajectory(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              ||     return postprocess_fn(self, sample_batch, other_agent_batches,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              ||     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 86, in call
              ||     return session_or_none.run(symbolic_out[0], feed_dict)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 957, in run
              ||     result = self._run(None, fetches, feed_dict, options_ptr,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1180, in _run
              ||     results = self._do_run(handle, final_targets, final_fetches,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1358, in _do_run
              ||     return self._do_call(_run_fn, feeds, fetches, targets, options,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1384, in _do_call
              ||     raise type(e)(node_def, op, message)
              || tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              ||   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              ||   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || 	 [[default_policy/strided_slice_1/_3]]
              || 0 successful operations.
              || 0 derived errors ignored.
              ||
              || Original stack trace for 'default_policy/functional_1_1/conv_value_1/Relu':
              ||   File "solution.py", line 127, in <module>
              ||     main()
              ||   File "solution.py", line 123, in main
              ||     wrap_direct(node=node, protocol=protocol)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/interface.py", line 24, in wrap_direct
              ||     run_loop(node, protocol, args)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 243, in run_loop
              ||     loop(node_name, fi, fo, node, protocol, tin, tout, config=config, fi_desc=fin, fo_desc=fout)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              ||     call_if_fun_exists(node, "init", context=context_data)
              ||   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 29, in init
              ||     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              ||   File "/submission/model.py", line 55, in __init__
              ||     self.model = PPOTrainer(config=config["rllib_config"])
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              ||     Trainer.__init__(self, config, env, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              ||     super().__init__(config, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              ||     self._setup(copy.deepcopy(self.config))
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              ||     self._init(self.config, self.env_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              ||     self.workers = self._make_workers(env_creator, self._policy,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              ||     return WorkerSet(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              ||     self._local_worker = self._make_worker(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              ||     worker = cls(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              ||     self._build_policy_map(policy_dict, policy_config)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              ||     policy_map[name] = cls(obs_space, act_space, merged_conf)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              ||     DynamicTFPolicy.__init__(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              ||     self._initialize_loss()
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              ||     postprocessed_batch = self.postprocess_trajectory(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              ||     return postprocess_fn(self, sample_batch, other_agent_batches,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              ||     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 84, in call
              ||     symbolic_out[0] = fn(*placeholders)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 235, in value
              ||     model_out, _ = self.model({
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/modelv2.py", line 150, in __call__
              ||     res = self.forward(restored, state or [], seq_lens)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py", line 103, in forward
              ||     model_out, self._value_out = self.base_model(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              ||     outputs = call_fn(cast_inputs, *args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 385, in call
              ||     return self._run_internal_graph(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 508, in _run_internal_graph
              ||     outputs = node.layer(*args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              ||     outputs = call_fn(cast_inputs, *args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/layers/convolutional.py", line 269, in call
              ||     return self.activation(outputs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/gen_nn_ops.py", line 10435, in relu
              ||     _, _, _op, _outputs = _op_def_library._apply_op_helper(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/op_def_library.py", line 742, in _apply_op_helper
              ||     op = g._create_op_internal(op_type_name, inputs, dtypes=None,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 3477, in _create_op_internal
              ||     ret = Operation(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 1949, in __init__
              ||     self._traceback = tf_stack.extract_stack()
              ||
              ||
              || The above exception was the direct cause of the following exception:
              ||
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 339, in loop
              ||     raise Exception(msg) from e
              || Exception: Exception while calling the node's init() function.
              ||
              || | Traceback (most recent call last):
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1365, in _do_call
              || |     return fn(*args)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1349, in _run_fn
              || |     return self._call_tf_sessionrun(options, feed_dict, fetch_list,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1441, in _call_tf_sessionrun
              || |     return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict,
              || | tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              || |   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || |   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || | 	 [[default_policy/strided_slice_1/_3]]
              || | 0 successful operations.
              || | 0 derived errors ignored.
              || |
              || | During handling of the above exception, another exception occurred:
              || |
              || | Traceback (most recent call last):
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              || |     call_if_fun_exists(node, "init", context=context_data)
              || |   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 29, in init
              || |     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              || |   File "/submission/model.py", line 55, in __init__
              || |     self.model = PPOTrainer(config=config["rllib_config"])
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              || |     Trainer.__init__(self, config, env, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              || |     super().__init__(config, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              || |     self._setup(copy.deepcopy(self.config))
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              || |     self._init(self.config, self.env_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              || |     self.workers = self._make_workers(env_creator, self._policy,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              || |     return WorkerSet(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              || |     self._local_worker = self._make_worker(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              || |     worker = cls(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              || |     self._build_policy_map(policy_dict, policy_config)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              || |     policy_map[name] = cls(obs_space, act_space, merged_conf)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              || |     DynamicTFPolicy.__init__(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              || |     self._initialize_loss()
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              || |     postprocessed_batch = self.postprocess_trajectory(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              || |     return postprocess_fn(self, sample_batch, other_agent_batches,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              || |     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 86, in call
              || |     return session_or_none.run(symbolic_out[0], feed_dict)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 957, in run
              || |     result = self._run(None, fetches, feed_dict, options_ptr,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1180, in _run
              || |     results = self._do_run(handle, final_targets, final_fetches,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1358, in _do_run
              || |     return self._do_call(_run_fn, feeds, fetches, targets, options,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1384, in _do_call
              || |     raise type(e)(node_def, op, message)
              || | tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              || |   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || |   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || | 	 [[default_policy/strided_slice_1/_3]]
              || | 0 successful operations.
              || | 0 derived errors ignored.
              || |
              || | Original stack trace for 'default_policy/functional_1_1/conv_value_1/Relu':
              || |   File "solution.py", line 127, in <module>
              || |     main()
              || |   File "solution.py", line 123, in main
              || |     wrap_direct(node=node, protocol=protocol)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/interface.py", line 24, in wrap_direct
              || |     run_loop(node, protocol, args)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 243, in run_loop
              || |     loop(node_name, fi, fo, node, protocol, tin, tout, config=config, fi_desc=fin, fo_desc=fout)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              || |     call_if_fun_exists(node, "init", context=context_data)
              || |   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 29, in init
              || |     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              || |   File "/submission/model.py", line 55, in __init__
              || |     self.model = PPOTrainer(config=config["rllib_config"])
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              || |     Trainer.__init__(self, config, env, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              || |     super().__init__(config, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              || |     self._setup(copy.deepcopy(self.config))
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              || |     self._init(self.config, self.env_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              || |     self.workers = self._make_workers(env_creator, self._policy,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              || |     return WorkerSet(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              || |     self._local_worker = self._make_worker(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              || |     worker = cls(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              || |     self._build_policy_map(policy_dict, policy_config)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              || |     policy_map[name] = cls(obs_space, act_space, merged_conf)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              || |     DynamicTFPolicy.__init__(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              || |     self._initialize_loss()
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              || |     postprocessed_batch = self.postprocess_trajectory(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              || |     return postprocess_fn(self, sample_batch, other_agent_batches,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              || |     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 84, in call
              || |     symbolic_out[0] = fn(*placeholders)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 235, in value
              || |     model_out, _ = self.model({
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/modelv2.py", line 150, in __call__
              || |     res = self.forward(restored, state or [], seq_lens)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py", line 103, in forward
              || |     model_out, self._value_out = self.base_model(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              || |     outputs = call_fn(cast_inputs, *args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 385, in call
              || |     return self._run_internal_graph(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 508, in _run_internal_graph
              || |     outputs = node.layer(*args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              || |     outputs = call_fn(cast_inputs, *args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/layers/convolutional.py", line 269, in call
              || |     return self.activation(outputs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/gen_nn_ops.py", line 10435, in relu
              || |     _, _, _op, _outputs = _op_def_library._apply_op_helper(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/op_def_library.py", line 742, in _apply_op_helper
              || |     op = g._create_op_internal(op_type_name, inputs, dtypes=None,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 3477, in _create_op_internal
              || |     ret = Operation(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 1949, in __init__
              || |     self._traceback = tf_stack.extract_stack()
              || |
              || |
              ||

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 278, in main
    raise InvalidSubmission(msg) from e
duckietown_challenges.exceptions.InvalidSubmission: Getting agent protocol

Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.

No reset possible

75162

sim-1of4

failed

2021-04-22 00:17:57+00:00

2021-04-22 00:18:37+00:00

0:00:40

InvalidSubmission: T [...]

InvalidSubmission:
Traceback (most recent call last):
  File "/usr/local/lib/python3.8/site-packages/duckietown_experiment_manager/code.py", line 271, in main
    robot_ci.write_topic_and_expect_zero("seed", config.seed)
  File "/usr/local/lib/python3.8/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 143, in write_topic_and_expect_zero
    msgs = read_reply(self.fpout, timeout=timeout, nickname=self.nickname)
  File "/usr/local/lib/python3.8/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 309, in read_reply
    raise RemoteNodeAborted(msg)
zuper_nodes.structures.RemoteNodeAborted: The remote node "ego0" aborted with the following error:

error in ego0 |Unexpected error:
              |
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1365, in _do_call
              ||     return fn(*args)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1349, in _run_fn
              ||     return self._call_tf_sessionrun(options, feed_dict, fetch_list,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1441, in _call_tf_sessionrun
              ||     return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict,
              || tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              ||   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              ||   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || 	 [[default_policy/strided_slice_1/_3]]
              || 0 successful operations.
              || 0 derived errors ignored.
              ||
              || During handling of the above exception, another exception occurred:
              ||
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              ||     call_if_fun_exists(node, "init", context=context_data)
              ||   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 29, in init
              ||     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              ||   File "/submission/model.py", line 55, in __init__
              ||     self.model = PPOTrainer(config=config["rllib_config"])
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              ||     Trainer.__init__(self, config, env, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              ||     super().__init__(config, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              ||     self._setup(copy.deepcopy(self.config))
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              ||     self._init(self.config, self.env_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              ||     self.workers = self._make_workers(env_creator, self._policy,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              ||     return WorkerSet(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              ||     self._local_worker = self._make_worker(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              ||     worker = cls(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              ||     self._build_policy_map(policy_dict, policy_config)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              ||     policy_map[name] = cls(obs_space, act_space, merged_conf)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              ||     DynamicTFPolicy.__init__(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              ||     self._initialize_loss()
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              ||     postprocessed_batch = self.postprocess_trajectory(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              ||     return postprocess_fn(self, sample_batch, other_agent_batches,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              ||     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 86, in call
              ||     return session_or_none.run(symbolic_out[0], feed_dict)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 957, in run
              ||     result = self._run(None, fetches, feed_dict, options_ptr,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1180, in _run
              ||     results = self._do_run(handle, final_targets, final_fetches,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1358, in _do_run
              ||     return self._do_call(_run_fn, feeds, fetches, targets, options,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1384, in _do_call
              ||     raise type(e)(node_def, op, message)
              || tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              ||   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              ||   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || 	 [[default_policy/strided_slice_1/_3]]
              || 0 successful operations.
              || 0 derived errors ignored.
              ||
              || Original stack trace for 'default_policy/functional_1_1/conv_value_1/Relu':
              ||   File "solution.py", line 127, in <module>
              ||     main()
              ||   File "solution.py", line 123, in main
              ||     wrap_direct(node=node, protocol=protocol)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/interface.py", line 24, in wrap_direct
              ||     run_loop(node, protocol, args)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 243, in run_loop
              ||     loop(node_name, fi, fo, node, protocol, tin, tout, config=config, fi_desc=fin, fo_desc=fout)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              ||     call_if_fun_exists(node, "init", context=context_data)
              ||   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 29, in init
              ||     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              ||   File "/submission/model.py", line 55, in __init__
              ||     self.model = PPOTrainer(config=config["rllib_config"])
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              ||     Trainer.__init__(self, config, env, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              ||     super().__init__(config, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              ||     self._setup(copy.deepcopy(self.config))
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              ||     self._init(self.config, self.env_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              ||     self.workers = self._make_workers(env_creator, self._policy,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              ||     return WorkerSet(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              ||     self._local_worker = self._make_worker(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              ||     worker = cls(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              ||     self._build_policy_map(policy_dict, policy_config)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              ||     policy_map[name] = cls(obs_space, act_space, merged_conf)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              ||     DynamicTFPolicy.__init__(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              ||     self._initialize_loss()
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              ||     postprocessed_batch = self.postprocess_trajectory(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              ||     return postprocess_fn(self, sample_batch, other_agent_batches,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              ||     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 84, in call
              ||     symbolic_out[0] = fn(*placeholders)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 235, in value
              ||     model_out, _ = self.model({
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/modelv2.py", line 150, in __call__
              ||     res = self.forward(restored, state or [], seq_lens)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py", line 103, in forward
              ||     model_out, self._value_out = self.base_model(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              ||     outputs = call_fn(cast_inputs, *args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 385, in call
              ||     return self._run_internal_graph(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 508, in _run_internal_graph
              ||     outputs = node.layer(*args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              ||     outputs = call_fn(cast_inputs, *args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/layers/convolutional.py", line 269, in call
              ||     return self.activation(outputs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/gen_nn_ops.py", line 10435, in relu
              ||     _, _, _op, _outputs = _op_def_library._apply_op_helper(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/op_def_library.py", line 742, in _apply_op_helper
              ||     op = g._create_op_internal(op_type_name, inputs, dtypes=None,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 3477, in _create_op_internal
              ||     ret = Operation(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 1949, in __init__
              ||     self._traceback = tf_stack.extract_stack()
              ||
              ||
              || The above exception was the direct cause of the following exception:
              ||
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 339, in loop
              ||     raise Exception(msg) from e
              || Exception: Exception while calling the node's init() function.
              ||
              || | Traceback (most recent call last):
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1365, in _do_call
              || |     return fn(*args)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1349, in _run_fn
              || |     return self._call_tf_sessionrun(options, feed_dict, fetch_list,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1441, in _call_tf_sessionrun
              || |     return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict,
              || | tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              || |   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || |   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || | 	 [[default_policy/strided_slice_1/_3]]
              || | 0 successful operations.
              || | 0 derived errors ignored.
              || |
              || | During handling of the above exception, another exception occurred:
              || |
              || | Traceback (most recent call last):
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              || |     call_if_fun_exists(node, "init", context=context_data)
              || |   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 29, in init
              || |     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              || |   File "/submission/model.py", line 55, in __init__
              || |     self.model = PPOTrainer(config=config["rllib_config"])
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              || |     Trainer.__init__(self, config, env, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              || |     super().__init__(config, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              || |     self._setup(copy.deepcopy(self.config))
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              || |     self._init(self.config, self.env_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              || |     self.workers = self._make_workers(env_creator, self._policy,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              || |     return WorkerSet(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              || |     self._local_worker = self._make_worker(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              || |     worker = cls(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              || |     self._build_policy_map(policy_dict, policy_config)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              || |     policy_map[name] = cls(obs_space, act_space, merged_conf)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              || |     DynamicTFPolicy.__init__(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              || |     self._initialize_loss()
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              || |     postprocessed_batch = self.postprocess_trajectory(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              || |     return postprocess_fn(self, sample_batch, other_agent_batches,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              || |     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 86, in call
              || |     return session_or_none.run(symbolic_out[0], feed_dict)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 957, in run
              || |     result = self._run(None, fetches, feed_dict, options_ptr,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1180, in _run
              || |     results = self._do_run(handle, final_targets, final_fetches,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1358, in _do_run
              || |     return self._do_call(_run_fn, feeds, fetches, targets, options,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1384, in _do_call
              || |     raise type(e)(node_def, op, message)
              || | tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              || |   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || |   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || | 	 [[default_policy/strided_slice_1/_3]]
              || | 0 successful operations.
              || | 0 derived errors ignored.
              || |
              || | Original stack trace for 'default_policy/functional_1_1/conv_value_1/Relu':
              || |   File "solution.py", line 127, in <module>
              || |     main()
              || |   File "solution.py", line 123, in main
              || |     wrap_direct(node=node, protocol=protocol)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/interface.py", line 24, in wrap_direct
              || |     run_loop(node, protocol, args)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 243, in run_loop
              || |     loop(node_name, fi, fo, node, protocol, tin, tout, config=config, fi_desc=fin, fo_desc=fout)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              || |     call_if_fun_exists(node, "init", context=context_data)
              || |   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 29, in init
              || |     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              || |   File "/submission/model.py", line 55, in __init__
              || |     self.model = PPOTrainer(config=config["rllib_config"])
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              || |     Trainer.__init__(self, config, env, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              || |     super().__init__(config, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              || |     self._setup(copy.deepcopy(self.config))
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              || |     self._init(self.config, self.env_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              || |     self.workers = self._make_workers(env_creator, self._policy,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              || |     return WorkerSet(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              || |     self._local_worker = self._make_worker(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              || |     worker = cls(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              || |     self._build_policy_map(policy_dict, policy_config)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              || |     policy_map[name] = cls(obs_space, act_space, merged_conf)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              || |     DynamicTFPolicy.__init__(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              || |     self._initialize_loss()
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              || |     postprocessed_batch = self.postprocess_trajectory(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              || |     return postprocess_fn(self, sample_batch, other_agent_batches,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              || |     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 84, in call
              || |     symbolic_out[0] = fn(*placeholders)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 235, in value
              || |     model_out, _ = self.model({
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/modelv2.py", line 150, in __call__
              || |     res = self.forward(restored, state or [], seq_lens)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py", line 103, in forward
              || |     model_out, self._value_out = self.base_model(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              || |     outputs = call_fn(cast_inputs, *args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 385, in call
              || |     return self._run_internal_graph(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 508, in _run_internal_graph
              || |     outputs = node.layer(*args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              || |     outputs = call_fn(cast_inputs, *args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/layers/convolutional.py", line 269, in call
              || |     return self.activation(outputs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/gen_nn_ops.py", line 10435, in relu
              || |     _, _, _op, _outputs = _op_def_library._apply_op_helper(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/op_def_library.py", line 742, in _apply_op_helper
              || |     op = g._create_op_internal(op_type_name, inputs, dtypes=None,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 3477, in _create_op_internal
              || |     ret = Operation(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 1949, in __init__
              || |     self._traceback = tf_stack.extract_stack()
              || |
              || |
              ||

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 278, in main
    raise InvalidSubmission(msg) from e
duckietown_challenges.exceptions.InvalidSubmission: Getting agent protocol

Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.

No reset possible

75161

sim-1of4

failed

2021-04-22 00:16:58+00:00

2021-04-22 00:17:40+00:00

0:00:42

InvalidSubmission: T [...]

InvalidSubmission:
Traceback (most recent call last):
  File "/usr/local/lib/python3.8/site-packages/duckietown_experiment_manager/code.py", line 271, in main
    robot_ci.write_topic_and_expect_zero("seed", config.seed)
  File "/usr/local/lib/python3.8/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 143, in write_topic_and_expect_zero
    msgs = read_reply(self.fpout, timeout=timeout, nickname=self.nickname)
  File "/usr/local/lib/python3.8/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 309, in read_reply
    raise RemoteNodeAborted(msg)
zuper_nodes.structures.RemoteNodeAborted: The remote node "ego0" aborted with the following error:

error in ego0 |Unexpected error:
              |
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1365, in _do_call
              ||     return fn(*args)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1349, in _run_fn
              ||     return self._call_tf_sessionrun(options, feed_dict, fetch_list,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1441, in _call_tf_sessionrun
              ||     return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict,
              || tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              ||   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || 	 [[default_policy/strided_slice_1/_3]]
              ||   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || 0 successful operations.
              || 0 derived errors ignored.
              ||
              || During handling of the above exception, another exception occurred:
              ||
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              ||     call_if_fun_exists(node, "init", context=context_data)
              ||   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 29, in init
              ||     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              ||   File "/submission/model.py", line 55, in __init__
              ||     self.model = PPOTrainer(config=config["rllib_config"])
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              ||     Trainer.__init__(self, config, env, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              ||     super().__init__(config, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              ||     self._setup(copy.deepcopy(self.config))
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              ||     self._init(self.config, self.env_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              ||     self.workers = self._make_workers(env_creator, self._policy,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              ||     return WorkerSet(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              ||     self._local_worker = self._make_worker(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              ||     worker = cls(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              ||     self._build_policy_map(policy_dict, policy_config)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              ||     policy_map[name] = cls(obs_space, act_space, merged_conf)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              ||     DynamicTFPolicy.__init__(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              ||     self._initialize_loss()
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              ||     postprocessed_batch = self.postprocess_trajectory(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              ||     return postprocess_fn(self, sample_batch, other_agent_batches,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              ||     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 86, in call
              ||     return session_or_none.run(symbolic_out[0], feed_dict)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 957, in run
              ||     result = self._run(None, fetches, feed_dict, options_ptr,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1180, in _run
              ||     results = self._do_run(handle, final_targets, final_fetches,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1358, in _do_run
              ||     return self._do_call(_run_fn, feeds, fetches, targets, options,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1384, in _do_call
              ||     raise type(e)(node_def, op, message)
              || tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              ||   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || 	 [[default_policy/strided_slice_1/_3]]
              ||   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || 0 successful operations.
              || 0 derived errors ignored.
              ||
              || Original stack trace for 'default_policy/functional_1_1/conv_value_1/Relu':
              ||   File "solution.py", line 127, in <module>
              ||     main()
              ||   File "solution.py", line 123, in main
              ||     wrap_direct(node=node, protocol=protocol)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/interface.py", line 24, in wrap_direct
              ||     run_loop(node, protocol, args)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 243, in run_loop
              ||     loop(node_name, fi, fo, node, protocol, tin, tout, config=config, fi_desc=fin, fo_desc=fout)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              ||     call_if_fun_exists(node, "init", context=context_data)
              ||   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 29, in init
              ||     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              ||   File "/submission/model.py", line 55, in __init__
              ||     self.model = PPOTrainer(config=config["rllib_config"])
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              ||     Trainer.__init__(self, config, env, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              ||     super().__init__(config, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              ||     self._setup(copy.deepcopy(self.config))
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              ||     self._init(self.config, self.env_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              ||     self.workers = self._make_workers(env_creator, self._policy,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              ||     return WorkerSet(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              ||     self._local_worker = self._make_worker(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              ||     worker = cls(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              ||     self._build_policy_map(policy_dict, policy_config)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              ||     policy_map[name] = cls(obs_space, act_space, merged_conf)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              ||     DynamicTFPolicy.__init__(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              ||     self._initialize_loss()
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              ||     postprocessed_batch = self.postprocess_trajectory(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              ||     return postprocess_fn(self, sample_batch, other_agent_batches,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              ||     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 84, in call
              ||     symbolic_out[0] = fn(*placeholders)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 235, in value
              ||     model_out, _ = self.model({
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/modelv2.py", line 150, in __call__
              ||     res = self.forward(restored, state or [], seq_lens)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py", line 103, in forward
              ||     model_out, self._value_out = self.base_model(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              ||     outputs = call_fn(cast_inputs, *args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 385, in call
              ||     return self._run_internal_graph(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 508, in _run_internal_graph
              ||     outputs = node.layer(*args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              ||     outputs = call_fn(cast_inputs, *args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/layers/convolutional.py", line 269, in call
              ||     return self.activation(outputs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/gen_nn_ops.py", line 10435, in relu
              ||     _, _, _op, _outputs = _op_def_library._apply_op_helper(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/op_def_library.py", line 742, in _apply_op_helper
              ||     op = g._create_op_internal(op_type_name, inputs, dtypes=None,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 3477, in _create_op_internal
              ||     ret = Operation(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 1949, in __init__
              ||     self._traceback = tf_stack.extract_stack()
              ||
              ||
              || The above exception was the direct cause of the following exception:
              ||
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 339, in loop
              ||     raise Exception(msg) from e
              || Exception: Exception while calling the node's init() function.
              ||
              || | Traceback (most recent call last):
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1365, in _do_call
              || |     return fn(*args)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1349, in _run_fn
              || |     return self._call_tf_sessionrun(options, feed_dict, fetch_list,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1441, in _call_tf_sessionrun
              || |     return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict,
              || | tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              || |   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || | 	 [[default_policy/strided_slice_1/_3]]
              || |   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || | 0 successful operations.
              || | 0 derived errors ignored.
              || |
              || | During handling of the above exception, another exception occurred:
              || |
              || | Traceback (most recent call last):
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              || |     call_if_fun_exists(node, "init", context=context_data)
              || |   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 29, in init
              || |     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              || |   File "/submission/model.py", line 55, in __init__
              || |     self.model = PPOTrainer(config=config["rllib_config"])
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              || |     Trainer.__init__(self, config, env, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              || |     super().__init__(config, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              || |     self._setup(copy.deepcopy(self.config))
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              || |     self._init(self.config, self.env_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              || |     self.workers = self._make_workers(env_creator, self._policy,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              || |     return WorkerSet(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              || |     self._local_worker = self._make_worker(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              || |     worker = cls(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              || |     self._build_policy_map(policy_dict, policy_config)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              || |     policy_map[name] = cls(obs_space, act_space, merged_conf)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              || |     DynamicTFPolicy.__init__(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              || |     self._initialize_loss()
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              || |     postprocessed_batch = self.postprocess_trajectory(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              || |     return postprocess_fn(self, sample_batch, other_agent_batches,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              || |     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 86, in call
              || |     return session_or_none.run(symbolic_out[0], feed_dict)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 957, in run
              || |     result = self._run(None, fetches, feed_dict, options_ptr,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1180, in _run
              || |     results = self._do_run(handle, final_targets, final_fetches,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1358, in _do_run
              || |     return self._do_call(_run_fn, feeds, fetches, targets, options,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1384, in _do_call
              || |     raise type(e)(node_def, op, message)
              || | tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              || |   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || | 	 [[default_policy/strided_slice_1/_3]]
              || |   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || | 0 successful operations.
              || | 0 derived errors ignored.
              || |
              || | Original stack trace for 'default_policy/functional_1_1/conv_value_1/Relu':
              || |   File "solution.py", line 127, in <module>
              || |     main()
              || |   File "solution.py", line 123, in main
              || |     wrap_direct(node=node, protocol=protocol)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/interface.py", line 24, in wrap_direct
              || |     run_loop(node, protocol, args)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 243, in run_loop
              || |     loop(node_name, fi, fo, node, protocol, tin, tout, config=config, fi_desc=fin, fo_desc=fout)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              || |     call_if_fun_exists(node, "init", context=context_data)
              || |   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 29, in init
              || |     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              || |   File "/submission/model.py", line 55, in __init__
              || |     self.model = PPOTrainer(config=config["rllib_config"])
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              || |     Trainer.__init__(self, config, env, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              || |     super().__init__(config, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              || |     self._setup(copy.deepcopy(self.config))
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              || |     self._init(self.config, self.env_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              || |     self.workers = self._make_workers(env_creator, self._policy,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              || |     return WorkerSet(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              || |     self._local_worker = self._make_worker(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              || |     worker = cls(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              || |     self._build_policy_map(policy_dict, policy_config)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              || |     policy_map[name] = cls(obs_space, act_space, merged_conf)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              || |     DynamicTFPolicy.__init__(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              || |     self._initialize_loss()
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              || |     postprocessed_batch = self.postprocess_trajectory(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              || |     return postprocess_fn(self, sample_batch, other_agent_batches,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              || |     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 84, in call
              || |     symbolic_out[0] = fn(*placeholders)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 235, in value
              || |     model_out, _ = self.model({
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/modelv2.py", line 150, in __call__
              || |     res = self.forward(restored, state or [], seq_lens)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py", line 103, in forward
              || |     model_out, self._value_out = self.base_model(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              || |     outputs = call_fn(cast_inputs, *args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 385, in call
              || |     return self._run_internal_graph(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 508, in _run_internal_graph
              || |     outputs = node.layer(*args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              || |     outputs = call_fn(cast_inputs, *args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/layers/convolutional.py", line 269, in call
              || |     return self.activation(outputs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/gen_nn_ops.py", line 10435, in relu
              || |     _, _, _op, _outputs = _op_def_library._apply_op_helper(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/op_def_library.py", line 742, in _apply_op_helper
              || |     op = g._create_op_internal(op_type_name, inputs, dtypes=None,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 3477, in _create_op_internal
              || |     ret = Operation(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 1949, in __init__
              || |     self._traceback = tf_stack.extract_stack()
              || |
              || |
              ||

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 278, in main
    raise InvalidSubmission(msg) from e
duckietown_challenges.exceptions.InvalidSubmission: Getting agent protocol

Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.

No reset possible

75157

sim-0of4

failed

2021-04-22 00:15:20+00:00

2021-04-22 00:16:27+00:00

0:01:07

InvalidSubmission: T [...]

InvalidSubmission:
Traceback (most recent call last):
  File "/usr/local/lib/python3.8/site-packages/duckietown_experiment_manager/code.py", line 271, in main
    robot_ci.write_topic_and_expect_zero("seed", config.seed)
  File "/usr/local/lib/python3.8/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 143, in write_topic_and_expect_zero
    msgs = read_reply(self.fpout, timeout=timeout, nickname=self.nickname)
  File "/usr/local/lib/python3.8/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 309, in read_reply
    raise RemoteNodeAborted(msg)
zuper_nodes.structures.RemoteNodeAborted: The remote node "ego0" aborted with the following error:

error in ego0 |Unexpected error:
              |
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1365, in _do_call
              ||     return fn(*args)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1349, in _run_fn
              ||     return self._call_tf_sessionrun(options, feed_dict, fetch_list,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1441, in _call_tf_sessionrun
              ||     return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict,
              || tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor of shape [16] and type float
              || 	 [[{{node default_policy/conv1/bias/Initializer/zeros}}, {{node default_policy/conv_value_1/bias/Initializer/zeros}}]]
              ||
              || During handling of the above exception, another exception occurred:
              ||
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              ||     call_if_fun_exists(node, "init", context=context_data)
              ||   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 29, in init
              ||     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              ||   File "/submission/model.py", line 55, in __init__
              ||     self.model = PPOTrainer(config=config["rllib_config"])
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              ||     Trainer.__init__(self, config, env, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              ||     super().__init__(config, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              ||     self._setup(copy.deepcopy(self.config))
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              ||     self._init(self.config, self.env_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              ||     self.workers = self._make_workers(env_creator, self._policy,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              ||     return WorkerSet(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              ||     self._local_worker = self._make_worker(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              ||     worker = cls(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              ||     self._build_policy_map(policy_dict, policy_config)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              ||     policy_map[name] = cls(obs_space, act_space, merged_conf)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              ||     DynamicTFPolicy.__init__(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              ||     self._initialize_loss()
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 322, in _initialize_loss
              ||     self._sess.run(tf.global_variables_initializer())
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 957, in run
              ||     result = self._run(None, fetches, feed_dict, options_ptr,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1180, in _run
              ||     results = self._do_run(handle, final_targets, final_fetches,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1358, in _do_run
              ||     return self._do_call(_run_fn, feeds, fetches, targets, options,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1384, in _do_call
              ||     raise type(e)(node_def, op, message)
              || tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor of shape [16] and type float
              || 	 [[node default_policy/conv1/bias/Initializer/zeros (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:30) , node default_policy/conv_value_1/bias/Initializer/zeros (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:75) ]]
              ||
              || Original stack trace for 'default_policy/conv1/bias/Initializer/zeros':
              ||   File "solution.py", line 127, in <module>
              ||     main()
              ||   File "solution.py", line 123, in main
              ||     wrap_direct(node=node, protocol=protocol)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/interface.py", line 24, in wrap_direct
              ||     run_loop(node, protocol, args)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 243, in run_loop
              ||     loop(node_name, fi, fo, node, protocol, tin, tout, config=config, fi_desc=fin, fo_desc=fout)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              ||     call_if_fun_exists(node, "init", context=context_data)
              ||   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 29, in init
              ||     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              ||   File "/submission/model.py", line 55, in __init__
              ||     self.model = PPOTrainer(config=config["rllib_config"])
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              ||     Trainer.__init__(self, config, env, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              ||     super().__init__(config, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              ||     self._setup(copy.deepcopy(self.config))
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              ||     self._init(self.config, self.env_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              ||     self.workers = self._make_workers(env_creator, self._policy,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              ||     return WorkerSet(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              ||     self._local_worker = self._make_worker(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              ||     worker = cls(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              ||     self._build_policy_map(policy_dict, policy_config)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              ||     policy_map[name] = cls(obs_space, act_space, merged_conf)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              ||     DynamicTFPolicy.__init__(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 147, in __init__
              ||     self.model = ModelCatalog.get_model_v2(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/catalog.py", line 347, in get_model_v2
              ||     return wrapper(obs_space, action_space, num_outputs, model_config,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py", line 30, in __init__
              ||     last_layer = tf.keras.layers.Conv2D(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 757, in __call__
              ||     self._maybe_build(inputs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 2098, in _maybe_build
              ||     self.build(input_shapes)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/layers/convolutional.py", line 206, in build
              ||     self.bias = self.add_weight(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 431, in add_weight
              ||     variable = self._add_variable_with_custom_getter(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/training/tracking/base.py", line 745, in _add_variable_with_custom_getter
              ||     new_variable = getter(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_utils.py", line 133, in make_variable
              ||     return tf_variables.VariableV1(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py", line 260, in __call__
              ||     return cls._variable_v1_call(*args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py", line 206, in _variable_v1_call
              ||     return previous_getter(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py", line 199, in <lambda>
              ||     previous_getter = lambda **kwargs: default_variable_creator(None, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variable_scope.py", line 2583, in default_variable_creator
              ||     return resource_variable_ops.ResourceVariable(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py", line 264, in __call__
              ||     return super(VariableMetaclass, cls).__call__(*args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/resource_variable_ops.py", line 1507, in __init__
              ||     self._init_from_args(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/resource_variable_ops.py", line 1651, in _init_from_args
              ||     initial_value() if init_from_fn else initial_value,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/init_ops.py", line 114, in __call__
              ||     return array_ops.zeros(shape, dtype)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py", line 201, in wrapper
              ||     return target(*args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/array_ops.py", line 2747, in wrapped
              ||     tensor = fun(*args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/array_ops.py", line 2794, in zeros
              ||     output = _constant_if_small(zero, shape, dtype, name)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/array_ops.py", line 2733, in _constant_if_small
              ||     return constant(value, shape=shape, dtype=dtype, name=name)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/constant_op.py", line 263, in constant
              ||     return _constant_impl(value, dtype, shape, name, verify_shape=False,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/constant_op.py", line 285, in _constant_impl
              ||     const_tensor = g._create_op_internal(  # pylint: disable=protected-access
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 3477, in _create_op_internal
              ||     ret = Operation(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 1949, in __init__
              ||     self._traceback = tf_stack.extract_stack()
              ||
              ||
              || The above exception was the direct cause of the following exception:
              ||
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 339, in loop
              ||     raise Exception(msg) from e
              || Exception: Exception while calling the node's init() function.
              ||
              || | Traceback (most recent call last):
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1365, in _do_call
              || |     return fn(*args)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1349, in _run_fn
              || |     return self._call_tf_sessionrun(options, feed_dict, fetch_list,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1441, in _call_tf_sessionrun
              || |     return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict,
              || | tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor of shape [16] and type float
              || | 	 [[{{node default_policy/conv1/bias/Initializer/zeros}}, {{node default_policy/conv_value_1/bias/Initializer/zeros}}]]
              || |
              || | During handling of the above exception, another exception occurred:
              || |
              || | Traceback (most recent call last):
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              || |     call_if_fun_exists(node, "init", context=context_data)
              || |   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 29, in init
              || |     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              || |   File "/submission/model.py", line 55, in __init__
              || |     self.model = PPOTrainer(config=config["rllib_config"])
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              || |     Trainer.__init__(self, config, env, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              || |     super().__init__(config, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              || |     self._setup(copy.deepcopy(self.config))
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              || |     self._init(self.config, self.env_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              || |     self.workers = self._make_workers(env_creator, self._policy,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              || |     return WorkerSet(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              || |     self._local_worker = self._make_worker(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              || |     worker = cls(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              || |     self._build_policy_map(policy_dict, policy_config)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              || |     policy_map[name] = cls(obs_space, act_space, merged_conf)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              || |     DynamicTFPolicy.__init__(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              || |     self._initialize_loss()
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 322, in _initialize_loss
              || |     self._sess.run(tf.global_variables_initializer())
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 957, in run
              || |     result = self._run(None, fetches, feed_dict, options_ptr,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1180, in _run
              || |     results = self._do_run(handle, final_targets, final_fetches,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1358, in _do_run
              || |     return self._do_call(_run_fn, feeds, fetches, targets, options,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1384, in _do_call
              || |     raise type(e)(node_def, op, message)
              || | tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor of shape [16] and type float
              || | 	 [[node default_policy/conv1/bias/Initializer/zeros (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:30) , node default_policy/conv_value_1/bias/Initializer/zeros (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:75) ]]
              || |
              || | Original stack trace for 'default_policy/conv1/bias/Initializer/zeros':
              || |   File "solution.py", line 127, in <module>
              || |     main()
              || |   File "solution.py", line 123, in main
              || |     wrap_direct(node=node, protocol=protocol)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/interface.py", line 24, in wrap_direct
              || |     run_loop(node, protocol, args)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 243, in run_loop
              || |     loop(node_name, fi, fo, node, protocol, tin, tout, config=config, fi_desc=fin, fo_desc=fout)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              || |     call_if_fun_exists(node, "init", context=context_data)
              || |   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 29, in init
              || |     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              || |   File "/submission/model.py", line 55, in __init__
              || |     self.model = PPOTrainer(config=config["rllib_config"])
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              || |     Trainer.__init__(self, config, env, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              || |     super().__init__(config, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              || |     self._setup(copy.deepcopy(self.config))
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              || |     self._init(self.config, self.env_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              || |     self.workers = self._make_workers(env_creator, self._policy,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              || |     return WorkerSet(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              || |     self._local_worker = self._make_worker(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              || |     worker = cls(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              || |     self._build_policy_map(policy_dict, policy_config)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              || |     policy_map[name] = cls(obs_space, act_space, merged_conf)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              || |     DynamicTFPolicy.__init__(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 147, in __init__
              || |     self.model = ModelCatalog.get_model_v2(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/catalog.py", line 347, in get_model_v2
              || |     return wrapper(obs_space, action_space, num_outputs, model_config,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py", line 30, in __init__
              || |     last_layer = tf.keras.layers.Conv2D(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 757, in __call__
              || |     self._maybe_build(inputs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 2098, in _maybe_build
              || |     self.build(input_shapes)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/layers/convolutional.py", line 206, in build
              || |     self.bias = self.add_weight(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 431, in add_weight
              || |     variable = self._add_variable_with_custom_getter(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/training/tracking/base.py", line 745, in _add_variable_with_custom_getter
              || |     new_variable = getter(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_utils.py", line 133, in make_variable
              || |     return tf_variables.VariableV1(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py", line 260, in __call__
              || |     return cls._variable_v1_call(*args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py", line 206, in _variable_v1_call
              || |     return previous_getter(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py", line 199, in <lambda>
              || |     previous_getter = lambda **kwargs: default_variable_creator(None, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variable_scope.py", line 2583, in default_variable_creator
              || |     return resource_variable_ops.ResourceVariable(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py", line 264, in __call__
              || |     return super(VariableMetaclass, cls).__call__(*args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/resource_variable_ops.py", line 1507, in __init__
              || |     self._init_from_args(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/resource_variable_ops.py", line 1651, in _init_from_args
              || |     initial_value() if init_from_fn else initial_value,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/init_ops.py", line 114, in __call__
              || |     return array_ops.zeros(shape, dtype)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py", line 201, in wrapper
              || |     return target(*args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/array_ops.py", line 2747, in wrapped
              || |     tensor = fun(*args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/array_ops.py", line 2794, in zeros
              || |     output = _constant_if_small(zero, shape, dtype, name)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/array_ops.py", line 2733, in _constant_if_small
              || |     return constant(value, shape=shape, dtype=dtype, name=name)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/constant_op.py", line 263, in constant
              || |     return _constant_impl(value, dtype, shape, name, verify_shape=False,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/constant_op.py", line 285, in _constant_impl
              || |     const_tensor = g._create_op_internal(  # pylint: disable=protected-access
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 3477, in _create_op_internal
              || |     ret = Operation(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 1949, in __init__
              || |     self._traceback = tf_stack.extract_stack()
              || |
              || |
              ||

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 278, in main
    raise InvalidSubmission(msg) from e
duckietown_challenges.exceptions.InvalidSubmission: Getting agent protocol

Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.

No reset possible

75156

sim-0of4

failed

2021-04-22 00:14:19+00:00

2021-04-22 00:15:00+00:00

0:00:41

InvalidSubmission: T [...]

InvalidSubmission:
Traceback (most recent call last):
  File "/usr/local/lib/python3.8/site-packages/duckietown_experiment_manager/code.py", line 271, in main
    robot_ci.write_topic_and_expect_zero("seed", config.seed)
  File "/usr/local/lib/python3.8/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 143, in write_topic_and_expect_zero
    msgs = read_reply(self.fpout, timeout=timeout, nickname=self.nickname)
  File "/usr/local/lib/python3.8/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 309, in read_reply
    raise RemoteNodeAborted(msg)
zuper_nodes.structures.RemoteNodeAborted: The remote node "ego0" aborted with the following error:

error in ego0 |Unexpected error:
              |
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1365, in _do_call
              ||     return fn(*args)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1349, in _run_fn
              ||     return self._call_tf_sessionrun(options, feed_dict, fetch_list,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1441, in _call_tf_sessionrun
              ||     return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict,
              || tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              ||   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || 	 [[default_policy/strided_slice_1/_3]]
              ||   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || 0 successful operations.
              || 0 derived errors ignored.
              ||
              || During handling of the above exception, another exception occurred:
              ||
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              ||     call_if_fun_exists(node, "init", context=context_data)
              ||   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 29, in init
              ||     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              ||   File "/submission/model.py", line 55, in __init__
              ||     self.model = PPOTrainer(config=config["rllib_config"])
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              ||     Trainer.__init__(self, config, env, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              ||     super().__init__(config, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              ||     self._setup(copy.deepcopy(self.config))
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              ||     self._init(self.config, self.env_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              ||     self.workers = self._make_workers(env_creator, self._policy,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              ||     return WorkerSet(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              ||     self._local_worker = self._make_worker(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              ||     worker = cls(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              ||     self._build_policy_map(policy_dict, policy_config)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              ||     policy_map[name] = cls(obs_space, act_space, merged_conf)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              ||     DynamicTFPolicy.__init__(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              ||     self._initialize_loss()
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              ||     postprocessed_batch = self.postprocess_trajectory(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              ||     return postprocess_fn(self, sample_batch, other_agent_batches,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              ||     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 86, in call
              ||     return session_or_none.run(symbolic_out[0], feed_dict)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 957, in run
              ||     result = self._run(None, fetches, feed_dict, options_ptr,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1180, in _run
              ||     results = self._do_run(handle, final_targets, final_fetches,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1358, in _do_run
              ||     return self._do_call(_run_fn, feeds, fetches, targets, options,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1384, in _do_call
              ||     raise type(e)(node_def, op, message)
              || tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              ||   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || 	 [[default_policy/strided_slice_1/_3]]
              ||   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || 0 successful operations.
              || 0 derived errors ignored.
              ||
              || Original stack trace for 'default_policy/functional_1_1/conv_value_1/Relu':
              ||   File "solution.py", line 127, in <module>
              ||     main()
              ||   File "solution.py", line 123, in main
              ||     wrap_direct(node=node, protocol=protocol)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/interface.py", line 24, in wrap_direct
              ||     run_loop(node, protocol, args)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 243, in run_loop
              ||     loop(node_name, fi, fo, node, protocol, tin, tout, config=config, fi_desc=fin, fo_desc=fout)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              ||     call_if_fun_exists(node, "init", context=context_data)
              ||   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 29, in init
              ||     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              ||   File "/submission/model.py", line 55, in __init__
              ||     self.model = PPOTrainer(config=config["rllib_config"])
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              ||     Trainer.__init__(self, config, env, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              ||     super().__init__(config, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              ||     self._setup(copy.deepcopy(self.config))
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              ||     self._init(self.config, self.env_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              ||     self.workers = self._make_workers(env_creator, self._policy,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              ||     return WorkerSet(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              ||     self._local_worker = self._make_worker(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              ||     worker = cls(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              ||     self._build_policy_map(policy_dict, policy_config)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              ||     policy_map[name] = cls(obs_space, act_space, merged_conf)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              ||     DynamicTFPolicy.__init__(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              ||     self._initialize_loss()
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              ||     postprocessed_batch = self.postprocess_trajectory(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              ||     return postprocess_fn(self, sample_batch, other_agent_batches,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              ||     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 84, in call
              ||     symbolic_out[0] = fn(*placeholders)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 235, in value
              ||     model_out, _ = self.model({
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/modelv2.py", line 150, in __call__
              ||     res = self.forward(restored, state or [], seq_lens)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py", line 103, in forward
              ||     model_out, self._value_out = self.base_model(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              ||     outputs = call_fn(cast_inputs, *args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 385, in call
              ||     return self._run_internal_graph(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 508, in _run_internal_graph
              ||     outputs = node.layer(*args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              ||     outputs = call_fn(cast_inputs, *args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/layers/convolutional.py", line 269, in call
              ||     return self.activation(outputs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/gen_nn_ops.py", line 10435, in relu
              ||     _, _, _op, _outputs = _op_def_library._apply_op_helper(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/op_def_library.py", line 742, in _apply_op_helper
              ||     op = g._create_op_internal(op_type_name, inputs, dtypes=None,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 3477, in _create_op_internal
              ||     ret = Operation(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 1949, in __init__
              ||     self._traceback = tf_stack.extract_stack()
              ||
              ||
              || The above exception was the direct cause of the following exception:
              ||
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 339, in loop
              ||     raise Exception(msg) from e
              || Exception: Exception while calling the node's init() function.
              ||
              || | Traceback (most recent call last):
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1365, in _do_call
              || |     return fn(*args)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1349, in _run_fn
              || |     return self._call_tf_sessionrun(options, feed_dict, fetch_list,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1441, in _call_tf_sessionrun
              || |     return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict,
              || | tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              || |   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || | 	 [[default_policy/strided_slice_1/_3]]
              || |   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || | 0 successful operations.
              || | 0 derived errors ignored.
              || |
              || | During handling of the above exception, another exception occurred:
              || |
              || | Traceback (most recent call last):
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              || |     call_if_fun_exists(node, "init", context=context_data)
              || |   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 29, in init
              || |     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              || |   File "/submission/model.py", line 55, in __init__
              || |     self.model = PPOTrainer(config=config["rllib_config"])
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              || |     Trainer.__init__(self, config, env, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              || |     super().__init__(config, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              || |     self._setup(copy.deepcopy(self.config))
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              || |     self._init(self.config, self.env_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              || |     self.workers = self._make_workers(env_creator, self._policy,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              || |     return WorkerSet(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              || |     self._local_worker = self._make_worker(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              || |     worker = cls(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              || |     self._build_policy_map(policy_dict, policy_config)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              || |     policy_map[name] = cls(obs_space, act_space, merged_conf)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              || |     DynamicTFPolicy.__init__(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              || |     self._initialize_loss()
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              || |     postprocessed_batch = self.postprocess_trajectory(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              || |     return postprocess_fn(self, sample_batch, other_agent_batches,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              || |     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 86, in call
              || |     return session_or_none.run(symbolic_out[0], feed_dict)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 957, in run
              || |     result = self._run(None, fetches, feed_dict, options_ptr,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1180, in _run
              || |     results = self._do_run(handle, final_targets, final_fetches,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1358, in _do_run
              || |     return self._do_call(_run_fn, feeds, fetches, targets, options,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1384, in _do_call
              || |     raise type(e)(node_def, op, message)
              || | tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              || |   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || | 	 [[default_policy/strided_slice_1/_3]]
              || |   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || | 0 successful operations.
              || | 0 derived errors ignored.
              || |
              || | Original stack trace for 'default_policy/functional_1_1/conv_value_1/Relu':
              || |   File "solution.py", line 127, in <module>
              || |     main()
              || |   File "solution.py", line 123, in main
              || |     wrap_direct(node=node, protocol=protocol)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/interface.py", line 24, in wrap_direct
              || |     run_loop(node, protocol, args)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 243, in run_loop
              || |     loop(node_name, fi, fo, node, protocol, tin, tout, config=config, fi_desc=fin, fo_desc=fout)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              || |     call_if_fun_exists(node, "init", context=context_data)
              || |   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 29, in init
              || |     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              || |   File "/submission/model.py", line 55, in __init__
              || |     self.model = PPOTrainer(config=config["rllib_config"])
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              || |     Trainer.__init__(self, config, env, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              || |     super().__init__(config, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              || |     self._setup(copy.deepcopy(self.config))
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              || |     self._init(self.config, self.env_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              || |     self.workers = self._make_workers(env_creator, self._policy,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              || |     return WorkerSet(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              || |     self._local_worker = self._make_worker(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              || |     worker = cls(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              || |     self._build_policy_map(policy_dict, policy_config)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              || |     policy_map[name] = cls(obs_space, act_space, merged_conf)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              || |     DynamicTFPolicy.__init__(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              || |     self._initialize_loss()
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              || |     postprocessed_batch = self.postprocess_trajectory(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              || |     return postprocess_fn(self, sample_batch, other_agent_batches,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              || |     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 84, in call
              || |     symbolic_out[0] = fn(*placeholders)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 235, in value
              || |     model_out, _ = self.model({
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/modelv2.py", line 150, in __call__
              || |     res = self.forward(restored, state or [], seq_lens)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py", line 103, in forward
              || |     model_out, self._value_out = self.base_model(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              || |     outputs = call_fn(cast_inputs, *args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 385, in call
              || |     return self._run_internal_graph(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 508, in _run_internal_graph
              || |     outputs = node.layer(*args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              || |     outputs = call_fn(cast_inputs, *args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/layers/convolutional.py", line 269, in call
              || |     return self.activation(outputs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/gen_nn_ops.py", line 10435, in relu
              || |     _, _, _op, _outputs = _op_def_library._apply_op_helper(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/op_def_library.py", line 742, in _apply_op_helper
              || |     op = g._create_op_internal(op_type_name, inputs, dtypes=None,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 3477, in _create_op_internal
              || |     ret = Operation(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 1949, in __init__
              || |     self._traceback = tf_stack.extract_stack()
              || |
              || |
              ||

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 278, in main
    raise InvalidSubmission(msg) from e
duckietown_challenges.exceptions.InvalidSubmission: Getting agent protocol

Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.

No reset possible

66121

sim-1of4

failed

2021-04-09 14:07:26+00:00

2021-04-09 14:08:07+00:00

0:00:41

InvalidSubmission: T [...]

InvalidSubmission:
Traceback (most recent call last):
  File "/usr/local/lib/python3.8/site-packages/duckietown_experiment_manager/code.py", line 268, in main
    robot_ci.write_topic_and_expect_zero("seed", config.seed)
  File "/usr/local/lib/python3.8/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 143, in write_topic_and_expect_zero
    msgs = read_reply(self.fpout, timeout=timeout, nickname=self.nickname)
  File "/usr/local/lib/python3.8/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 309, in read_reply
    raise RemoteNodeAborted(msg)
zuper_nodes.structures.RemoteNodeAborted: The remote node "ego0" aborted with the following error:

error in ego0 |Unexpected error:
              |
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1365, in _do_call
              ||     return fn(*args)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1349, in _run_fn
              ||     return self._call_tf_sessionrun(options, feed_dict, fetch_list,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1441, in _call_tf_sessionrun
              ||     return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict,
              || tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              ||   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || 	 [[default_policy/strided_slice_1/_3]]
              ||   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || 0 successful operations.
              || 0 derived errors ignored.
              ||
              || During handling of the above exception, another exception occurred:
              ||
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              ||     call_if_fun_exists(node, "init", context=context_data)
              ||   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 29, in init
              ||     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              ||   File "/submission/model.py", line 55, in __init__
              ||     self.model = PPOTrainer(config=config["rllib_config"])
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              ||     Trainer.__init__(self, config, env, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              ||     super().__init__(config, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              ||     self._setup(copy.deepcopy(self.config))
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              ||     self._init(self.config, self.env_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              ||     self.workers = self._make_workers(env_creator, self._policy,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              ||     return WorkerSet(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              ||     self._local_worker = self._make_worker(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              ||     worker = cls(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              ||     self._build_policy_map(policy_dict, policy_config)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              ||     policy_map[name] = cls(obs_space, act_space, merged_conf)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              ||     DynamicTFPolicy.__init__(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              ||     self._initialize_loss()
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              ||     postprocessed_batch = self.postprocess_trajectory(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              ||     return postprocess_fn(self, sample_batch, other_agent_batches,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              ||     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 86, in call
              ||     return session_or_none.run(symbolic_out[0], feed_dict)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 957, in run
              ||     result = self._run(None, fetches, feed_dict, options_ptr,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1180, in _run
              ||     results = self._do_run(handle, final_targets, final_fetches,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1358, in _do_run
              ||     return self._do_call(_run_fn, feeds, fetches, targets, options,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1384, in _do_call
              ||     raise type(e)(node_def, op, message)
              || tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              ||   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || 	 [[default_policy/strided_slice_1/_3]]
              ||   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || 0 successful operations.
              || 0 derived errors ignored.
              ||
              || Original stack trace for 'default_policy/functional_1_1/conv_value_1/Relu':
              ||   File "solution.py", line 127, in <module>
              ||     main()
              ||   File "solution.py", line 123, in main
              ||     wrap_direct(node=node, protocol=protocol)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/interface.py", line 24, in wrap_direct
              ||     run_loop(node, protocol, args)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 243, in run_loop
              ||     loop(node_name, fi, fo, node, protocol, tin, tout, config=config, fi_desc=fin, fo_desc=fout)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              ||     call_if_fun_exists(node, "init", context=context_data)
              ||   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 29, in init
              ||     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              ||   File "/submission/model.py", line 55, in __init__
              ||     self.model = PPOTrainer(config=config["rllib_config"])
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              ||     Trainer.__init__(self, config, env, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              ||     super().__init__(config, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              ||     self._setup(copy.deepcopy(self.config))
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              ||     self._init(self.config, self.env_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              ||     self.workers = self._make_workers(env_creator, self._policy,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              ||     return WorkerSet(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              ||     self._local_worker = self._make_worker(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              ||     worker = cls(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              ||     self._build_policy_map(policy_dict, policy_config)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              ||     policy_map[name] = cls(obs_space, act_space, merged_conf)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              ||     DynamicTFPolicy.__init__(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              ||     self._initialize_loss()
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              ||     postprocessed_batch = self.postprocess_trajectory(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              ||     return postprocess_fn(self, sample_batch, other_agent_batches,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              ||     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 84, in call
              ||     symbolic_out[0] = fn(*placeholders)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 235, in value
              ||     model_out, _ = self.model({
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/modelv2.py", line 150, in __call__
              ||     res = self.forward(restored, state or [], seq_lens)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py", line 103, in forward
              ||     model_out, self._value_out = self.base_model(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              ||     outputs = call_fn(cast_inputs, *args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 385, in call
              ||     return self._run_internal_graph(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 508, in _run_internal_graph
              ||     outputs = node.layer(*args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              ||     outputs = call_fn(cast_inputs, *args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/layers/convolutional.py", line 269, in call
              ||     return self.activation(outputs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/gen_nn_ops.py", line 10435, in relu
              ||     _, _, _op, _outputs = _op_def_library._apply_op_helper(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/op_def_library.py", line 742, in _apply_op_helper
              ||     op = g._create_op_internal(op_type_name, inputs, dtypes=None,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 3477, in _create_op_internal
              ||     ret = Operation(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 1949, in __init__
              ||     self._traceback = tf_stack.extract_stack()
              ||
              ||
              || The above exception was the direct cause of the following exception:
              ||
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 339, in loop
              ||     raise Exception(msg) from e
              || Exception: Exception while calling the node's init() function.
              ||
              || | Traceback (most recent call last):
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1365, in _do_call
              || |     return fn(*args)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1349, in _run_fn
              || |     return self._call_tf_sessionrun(options, feed_dict, fetch_list,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1441, in _call_tf_sessionrun
              || |     return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict,
              || | tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              || |   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || | 	 [[default_policy/strided_slice_1/_3]]
              || |   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || | 0 successful operations.
              || | 0 derived errors ignored.
              || |
              || | During handling of the above exception, another exception occurred:
              || |
              || | Traceback (most recent call last):
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              || |     call_if_fun_exists(node, "init", context=context_data)
              || |   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 29, in init
              || |     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              || |   File "/submission/model.py", line 55, in __init__
              || |     self.model = PPOTrainer(config=config["rllib_config"])
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              || |     Trainer.__init__(self, config, env, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              || |     super().__init__(config, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              || |     self._setup(copy.deepcopy(self.config))
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              || |     self._init(self.config, self.env_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              || |     self.workers = self._make_workers(env_creator, self._policy,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              || |     return WorkerSet(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              || |     self._local_worker = self._make_worker(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              || |     worker = cls(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              || |     self._build_policy_map(policy_dict, policy_config)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              || |     policy_map[name] = cls(obs_space, act_space, merged_conf)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              || |     DynamicTFPolicy.__init__(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              || |     self._initialize_loss()
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              || |     postprocessed_batch = self.postprocess_trajectory(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              || |     return postprocess_fn(self, sample_batch, other_agent_batches,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              || |     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 86, in call
              || |     return session_or_none.run(symbolic_out[0], feed_dict)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 957, in run
              || |     result = self._run(None, fetches, feed_dict, options_ptr,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1180, in _run
              || |     results = self._do_run(handle, final_targets, final_fetches,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1358, in _do_run
              || |     return self._do_call(_run_fn, feeds, fetches, targets, options,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1384, in _do_call
              || |     raise type(e)(node_def, op, message)
              || | tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              || |   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || | 	 [[default_policy/strided_slice_1/_3]]
              || |   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || | 0 successful operations.
              || | 0 derived errors ignored.
              || |
              || | Original stack trace for 'default_policy/functional_1_1/conv_value_1/Relu':
              || |   File "solution.py", line 127, in <module>
              || |     main()
              || |   File "solution.py", line 123, in main
              || |     wrap_direct(node=node, protocol=protocol)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/interface.py", line 24, in wrap_direct
              || |     run_loop(node, protocol, args)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 243, in run_loop
              || |     loop(node_name, fi, fo, node, protocol, tin, tout, config=config, fi_desc=fin, fo_desc=fout)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              || |     call_if_fun_exists(node, "init", context=context_data)
              || |   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 29, in init
              || |     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              || |   File "/submission/model.py", line 55, in __init__
              || |     self.model = PPOTrainer(config=config["rllib_config"])
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              || |     Trainer.__init__(self, config, env, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              || |     super().__init__(config, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              || |     self._setup(copy.deepcopy(self.config))
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              || |     self._init(self.config, self.env_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              || |     self.workers = self._make_workers(env_creator, self._policy,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              || |     return WorkerSet(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              || |     self._local_worker = self._make_worker(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              || |     worker = cls(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              || |     self._build_policy_map(policy_dict, policy_config)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              || |     policy_map[name] = cls(obs_space, act_space, merged_conf)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              || |     DynamicTFPolicy.__init__(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              || |     self._initialize_loss()
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              || |     postprocessed_batch = self.postprocess_trajectory(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              || |     return postprocess_fn(self, sample_batch, other_agent_batches,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              || |     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 84, in call
              || |     symbolic_out[0] = fn(*placeholders)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 235, in value
              || |     model_out, _ = self.model({
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/modelv2.py", line 150, in __call__
              || |     res = self.forward(restored, state or [], seq_lens)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py", line 103, in forward
              || |     model_out, self._value_out = self.base_model(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              || |     outputs = call_fn(cast_inputs, *args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 385, in call
              || |     return self._run_internal_graph(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 508, in _run_internal_graph
              || |     outputs = node.layer(*args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              || |     outputs = call_fn(cast_inputs, *args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/layers/convolutional.py", line 269, in call
              || |     return self.activation(outputs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/gen_nn_ops.py", line 10435, in relu
              || |     _, _, _op, _outputs = _op_def_library._apply_op_helper(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/op_def_library.py", line 742, in _apply_op_helper
              || |     op = g._create_op_internal(op_type_name, inputs, dtypes=None,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 3477, in _create_op_internal
              || |     ret = Operation(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 1949, in __init__
              || |     self._traceback = tf_stack.extract_stack()
              || |
              || |
              ||

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 275, in main
    raise InvalidSubmission(msg) from e
duckietown_challenges.exceptions.InvalidSubmission: Getting agent protocol

Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.

No reset possible

66119

sim-1of4

failed

2021-04-09 14:06:24+00:00

2021-04-09 14:07:04+00:00

0:00:40

InvalidSubmission: T [...]

InvalidSubmission:
Traceback (most recent call last):
  File "/usr/local/lib/python3.8/site-packages/duckietown_experiment_manager/code.py", line 268, in main
    robot_ci.write_topic_and_expect_zero("seed", config.seed)
  File "/usr/local/lib/python3.8/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 143, in write_topic_and_expect_zero
    msgs = read_reply(self.fpout, timeout=timeout, nickname=self.nickname)
  File "/usr/local/lib/python3.8/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 309, in read_reply
    raise RemoteNodeAborted(msg)
zuper_nodes.structures.RemoteNodeAborted: The remote node "ego0" aborted with the following error:

error in ego0 |Unexpected error:
              |
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1365, in _do_call
              ||     return fn(*args)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1349, in _run_fn
              ||     return self._call_tf_sessionrun(options, feed_dict, fetch_list,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1441, in _call_tf_sessionrun
              ||     return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict,
              || tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              ||   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || 	 [[default_policy/strided_slice_1/_3]]
              ||   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || 0 successful operations.
              || 0 derived errors ignored.
              ||
              || During handling of the above exception, another exception occurred:
              ||
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              ||     call_if_fun_exists(node, "init", context=context_data)
              ||   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 29, in init
              ||     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              ||   File "/submission/model.py", line 55, in __init__
              ||     self.model = PPOTrainer(config=config["rllib_config"])
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              ||     Trainer.__init__(self, config, env, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              ||     super().__init__(config, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              ||     self._setup(copy.deepcopy(self.config))
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              ||     self._init(self.config, self.env_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              ||     self.workers = self._make_workers(env_creator, self._policy,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              ||     return WorkerSet(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              ||     self._local_worker = self._make_worker(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              ||     worker = cls(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              ||     self._build_policy_map(policy_dict, policy_config)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              ||     policy_map[name] = cls(obs_space, act_space, merged_conf)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              ||     DynamicTFPolicy.__init__(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              ||     self._initialize_loss()
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              ||     postprocessed_batch = self.postprocess_trajectory(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              ||     return postprocess_fn(self, sample_batch, other_agent_batches,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              ||     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 86, in call
              ||     return session_or_none.run(symbolic_out[0], feed_dict)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 957, in run
              ||     result = self._run(None, fetches, feed_dict, options_ptr,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1180, in _run
              ||     results = self._do_run(handle, final_targets, final_fetches,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1358, in _do_run
              ||     return self._do_call(_run_fn, feeds, fetches, targets, options,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1384, in _do_call
              ||     raise type(e)(node_def, op, message)
              || tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              ||   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || 	 [[default_policy/strided_slice_1/_3]]
              ||   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || 0 successful operations.
              || 0 derived errors ignored.
              ||
              || Original stack trace for 'default_policy/functional_1_1/conv_value_1/Relu':
              ||   File "solution.py", line 127, in <module>
              ||     main()
              ||   File "solution.py", line 123, in main
              ||     wrap_direct(node=node, protocol=protocol)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/interface.py", line 24, in wrap_direct
              ||     run_loop(node, protocol, args)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 243, in run_loop
              ||     loop(node_name, fi, fo, node, protocol, tin, tout, config=config, fi_desc=fin, fo_desc=fout)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              ||     call_if_fun_exists(node, "init", context=context_data)
              ||   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 29, in init
              ||     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              ||   File "/submission/model.py", line 55, in __init__
              ||     self.model = PPOTrainer(config=config["rllib_config"])
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              ||     Trainer.__init__(self, config, env, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              ||     super().__init__(config, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              ||     self._setup(copy.deepcopy(self.config))
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              ||     self._init(self.config, self.env_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              ||     self.workers = self._make_workers(env_creator, self._policy,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              ||     return WorkerSet(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              ||     self._local_worker = self._make_worker(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              ||     worker = cls(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              ||     self._build_policy_map(policy_dict, policy_config)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              ||     policy_map[name] = cls(obs_space, act_space, merged_conf)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              ||     DynamicTFPolicy.__init__(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              ||     self._initialize_loss()
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              ||     postprocessed_batch = self.postprocess_trajectory(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              ||     return postprocess_fn(self, sample_batch, other_agent_batches,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              ||     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 84, in call
              ||     symbolic_out[0] = fn(*placeholders)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 235, in value
              ||     model_out, _ = self.model({
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/modelv2.py", line 150, in __call__
              ||     res = self.forward(restored, state or [], seq_lens)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py", line 103, in forward
              ||     model_out, self._value_out = self.base_model(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              ||     outputs = call_fn(cast_inputs, *args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 385, in call
              ||     return self._run_internal_graph(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 508, in _run_internal_graph
              ||     outputs = node.layer(*args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              ||     outputs = call_fn(cast_inputs, *args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/layers/convolutional.py", line 269, in call
              ||     return self.activation(outputs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/gen_nn_ops.py", line 10435, in relu
              ||     _, _, _op, _outputs = _op_def_library._apply_op_helper(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/op_def_library.py", line 742, in _apply_op_helper
              ||     op = g._create_op_internal(op_type_name, inputs, dtypes=None,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 3477, in _create_op_internal
              ||     ret = Operation(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 1949, in __init__
              ||     self._traceback = tf_stack.extract_stack()
              ||
              ||
              || The above exception was the direct cause of the following exception:
              ||
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 339, in loop
              ||     raise Exception(msg) from e
              || Exception: Exception while calling the node's init() function.
              ||
              || | Traceback (most recent call last):
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1365, in _do_call
              || |     return fn(*args)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1349, in _run_fn
              || |     return self._call_tf_sessionrun(options, feed_dict, fetch_list,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1441, in _call_tf_sessionrun
              || |     return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict,
              || | tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              || |   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || | 	 [[default_policy/strided_slice_1/_3]]
              || |   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || | 0 successful operations.
              || | 0 derived errors ignored.
              || |
              || | During handling of the above exception, another exception occurred:
              || |
              || | Traceback (most recent call last):
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              || |     call_if_fun_exists(node, "init", context=context_data)
              || |   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 29, in init
              || |     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              || |   File "/submission/model.py", line 55, in __init__
              || |     self.model = PPOTrainer(config=config["rllib_config"])
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              || |     Trainer.__init__(self, config, env, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              || |     super().__init__(config, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              || |     self._setup(copy.deepcopy(self.config))
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              || |     self._init(self.config, self.env_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              || |     self.workers = self._make_workers(env_creator, self._policy,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              || |     return WorkerSet(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              || |     self._local_worker = self._make_worker(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              || |     worker = cls(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              || |     self._build_policy_map(policy_dict, policy_config)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              || |     policy_map[name] = cls(obs_space, act_space, merged_conf)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              || |     DynamicTFPolicy.__init__(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              || |     self._initialize_loss()
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              || |     postprocessed_batch = self.postprocess_trajectory(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              || |     return postprocess_fn(self, sample_batch, other_agent_batches,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              || |     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 86, in call
              || |     return session_or_none.run(symbolic_out[0], feed_dict)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 957, in run
              || |     result = self._run(None, fetches, feed_dict, options_ptr,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1180, in _run
              || |     results = self._do_run(handle, final_targets, final_fetches,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1358, in _do_run
              || |     return self._do_call(_run_fn, feeds, fetches, targets, options,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1384, in _do_call
              || |     raise type(e)(node_def, op, message)
              || | tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              || |   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || | 	 [[default_policy/strided_slice_1/_3]]
              || |   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || | 0 successful operations.
              || | 0 derived errors ignored.
              || |
              || | Original stack trace for 'default_policy/functional_1_1/conv_value_1/Relu':
              || |   File "solution.py", line 127, in <module>
              || |     main()
              || |   File "solution.py", line 123, in main
              || |     wrap_direct(node=node, protocol=protocol)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/interface.py", line 24, in wrap_direct
              || |     run_loop(node, protocol, args)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 243, in run_loop
              || |     loop(node_name, fi, fo, node, protocol, tin, tout, config=config, fi_desc=fin, fo_desc=fout)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              || |     call_if_fun_exists(node, "init", context=context_data)
              || |   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 29, in init
              || |     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              || |   File "/submission/model.py", line 55, in __init__
              || |     self.model = PPOTrainer(config=config["rllib_config"])
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              || |     Trainer.__init__(self, config, env, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              || |     super().__init__(config, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              || |     self._setup(copy.deepcopy(self.config))
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              || |     self._init(self.config, self.env_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              || |     self.workers = self._make_workers(env_creator, self._policy,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              || |     return WorkerSet(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              || |     self._local_worker = self._make_worker(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              || |     worker = cls(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              || |     self._build_policy_map(policy_dict, policy_config)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              || |     policy_map[name] = cls(obs_space, act_space, merged_conf)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              || |     DynamicTFPolicy.__init__(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              || |     self._initialize_loss()
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              || |     postprocessed_batch = self.postprocess_trajectory(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              || |     return postprocess_fn(self, sample_batch, other_agent_batches,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              || |     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 84, in call
              || |     symbolic_out[0] = fn(*placeholders)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 235, in value
              || |     model_out, _ = self.model({
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/modelv2.py", line 150, in __call__
              || |     res = self.forward(restored, state or [], seq_lens)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py", line 103, in forward
              || |     model_out, self._value_out = self.base_model(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              || |     outputs = call_fn(cast_inputs, *args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 385, in call
              || |     return self._run_internal_graph(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 508, in _run_internal_graph
              || |     outputs = node.layer(*args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              || |     outputs = call_fn(cast_inputs, *args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/layers/convolutional.py", line 269, in call
              || |     return self.activation(outputs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/gen_nn_ops.py", line 10435, in relu
              || |     _, _, _op, _outputs = _op_def_library._apply_op_helper(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/op_def_library.py", line 742, in _apply_op_helper
              || |     op = g._create_op_internal(op_type_name, inputs, dtypes=None,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 3477, in _create_op_internal
              || |     ret = Operation(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 1949, in __init__
              || |     self._traceback = tf_stack.extract_stack()
              || |
              || |
              ||

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 275, in main
    raise InvalidSubmission(msg) from e
duckietown_challenges.exceptions.InvalidSubmission: Getting agent protocol

Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.

No reset possible

66115

sim-1of4

failed

2021-04-09 14:05:17+00:00

2021-04-09 14:05:57+00:00

0:00:40

InvalidSubmission: T [...]

InvalidSubmission:
Traceback (most recent call last):
  File "/usr/local/lib/python3.8/site-packages/duckietown_experiment_manager/code.py", line 268, in main
    robot_ci.write_topic_and_expect_zero("seed", config.seed)
  File "/usr/local/lib/python3.8/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 143, in write_topic_and_expect_zero
    msgs = read_reply(self.fpout, timeout=timeout, nickname=self.nickname)
  File "/usr/local/lib/python3.8/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 309, in read_reply
    raise RemoteNodeAborted(msg)
zuper_nodes.structures.RemoteNodeAborted: The remote node "ego0" aborted with the following error:

error in ego0 |Unexpected error:
              |
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1365, in _do_call
              ||     return fn(*args)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1349, in _run_fn
              ||     return self._call_tf_sessionrun(options, feed_dict, fetch_list,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1441, in _call_tf_sessionrun
              ||     return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict,
              || tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              ||   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              ||   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || 	 [[default_policy/strided_slice_1/_3]]
              || 0 successful operations.
              || 0 derived errors ignored.
              ||
              || During handling of the above exception, another exception occurred:
              ||
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              ||     call_if_fun_exists(node, "init", context=context_data)
              ||   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 29, in init
              ||     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              ||   File "/submission/model.py", line 55, in __init__
              ||     self.model = PPOTrainer(config=config["rllib_config"])
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              ||     Trainer.__init__(self, config, env, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              ||     super().__init__(config, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              ||     self._setup(copy.deepcopy(self.config))
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              ||     self._init(self.config, self.env_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              ||     self.workers = self._make_workers(env_creator, self._policy,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              ||     return WorkerSet(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              ||     self._local_worker = self._make_worker(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              ||     worker = cls(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              ||     self._build_policy_map(policy_dict, policy_config)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              ||     policy_map[name] = cls(obs_space, act_space, merged_conf)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              ||     DynamicTFPolicy.__init__(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              ||     self._initialize_loss()
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              ||     postprocessed_batch = self.postprocess_trajectory(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              ||     return postprocess_fn(self, sample_batch, other_agent_batches,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              ||     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 86, in call
              ||     return session_or_none.run(symbolic_out[0], feed_dict)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 957, in run
              ||     result = self._run(None, fetches, feed_dict, options_ptr,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1180, in _run
              ||     results = self._do_run(handle, final_targets, final_fetches,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1358, in _do_run
              ||     return self._do_call(_run_fn, feeds, fetches, targets, options,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1384, in _do_call
              ||     raise type(e)(node_def, op, message)
              || tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              ||   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              ||   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || 	 [[default_policy/strided_slice_1/_3]]
              || 0 successful operations.
              || 0 derived errors ignored.
              ||
              || Original stack trace for 'default_policy/functional_1_1/conv_value_1/Relu':
              ||   File "solution.py", line 127, in <module>
              ||     main()
              ||   File "solution.py", line 123, in main
              ||     wrap_direct(node=node, protocol=protocol)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/interface.py", line 24, in wrap_direct
              ||     run_loop(node, protocol, args)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 243, in run_loop
              ||     loop(node_name, fi, fo, node, protocol, tin, tout, config=config, fi_desc=fin, fo_desc=fout)
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              ||     call_if_fun_exists(node, "init", context=context_data)
              ||   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 29, in init
              ||     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              ||   File "/submission/model.py", line 55, in __init__
              ||     self.model = PPOTrainer(config=config["rllib_config"])
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              ||     Trainer.__init__(self, config, env, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              ||     super().__init__(config, logger_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              ||     self._setup(copy.deepcopy(self.config))
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              ||     self._init(self.config, self.env_creator)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              ||     self.workers = self._make_workers(env_creator, self._policy,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              ||     return WorkerSet(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              ||     self._local_worker = self._make_worker(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              ||     worker = cls(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              ||     self._build_policy_map(policy_dict, policy_config)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              ||     policy_map[name] = cls(obs_space, act_space, merged_conf)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              ||     DynamicTFPolicy.__init__(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              ||     self._initialize_loss()
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              ||     postprocessed_batch = self.postprocess_trajectory(
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              ||     return postprocess_fn(self, sample_batch, other_agent_batches,
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              ||     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 84, in call
              ||     symbolic_out[0] = fn(*placeholders)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 235, in value
              ||     model_out, _ = self.model({
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/modelv2.py", line 150, in __call__
              ||     res = self.forward(restored, state or [], seq_lens)
              ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py", line 103, in forward
              ||     model_out, self._value_out = self.base_model(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              ||     outputs = call_fn(cast_inputs, *args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 385, in call
              ||     return self._run_internal_graph(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 508, in _run_internal_graph
              ||     outputs = node.layer(*args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              ||     outputs = call_fn(cast_inputs, *args, **kwargs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/layers/convolutional.py", line 269, in call
              ||     return self.activation(outputs)
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/gen_nn_ops.py", line 10435, in relu
              ||     _, _, _op, _outputs = _op_def_library._apply_op_helper(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/op_def_library.py", line 742, in _apply_op_helper
              ||     op = g._create_op_internal(op_type_name, inputs, dtypes=None,
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 3477, in _create_op_internal
              ||     ret = Operation(
              ||   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 1949, in __init__
              ||     self._traceback = tf_stack.extract_stack()
              ||
              ||
              || The above exception was the direct cause of the following exception:
              ||
              || Traceback (most recent call last):
              ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 339, in loop
              ||     raise Exception(msg) from e
              || Exception: Exception while calling the node's init() function.
              ||
              || | Traceback (most recent call last):
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1365, in _do_call
              || |     return fn(*args)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1349, in _run_fn
              || |     return self._call_tf_sessionrun(options, feed_dict, fetch_list,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1441, in _call_tf_sessionrun
              || |     return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict,
              || | tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              || |   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || |   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu}}]]
              || | 	 [[default_policy/strided_slice_1/_3]]
              || | 0 successful operations.
              || | 0 derived errors ignored.
              || |
              || | During handling of the above exception, another exception occurred:
              || |
              || | Traceback (most recent call last):
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              || |     call_if_fun_exists(node, "init", context=context_data)
              || |   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 29, in init
              || |     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              || |   File "/submission/model.py", line 55, in __init__
              || |     self.model = PPOTrainer(config=config["rllib_config"])
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              || |     Trainer.__init__(self, config, env, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              || |     super().__init__(config, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              || |     self._setup(copy.deepcopy(self.config))
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              || |     self._init(self.config, self.env_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              || |     self.workers = self._make_workers(env_creator, self._policy,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              || |     return WorkerSet(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              || |     self._local_worker = self._make_worker(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              || |     worker = cls(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              || |     self._build_policy_map(policy_dict, policy_config)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              || |     policy_map[name] = cls(obs_space, act_space, merged_conf)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              || |     DynamicTFPolicy.__init__(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              || |     self._initialize_loss()
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              || |     postprocessed_batch = self.postprocess_trajectory(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              || |     return postprocess_fn(self, sample_batch, other_agent_batches,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              || |     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 86, in call
              || |     return session_or_none.run(symbolic_out[0], feed_dict)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 957, in run
              || |     result = self._run(None, fetches, feed_dict, options_ptr,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1180, in _run
              || |     results = self._do_run(handle, final_targets, final_fetches,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1358, in _do_run
              || |     return self._do_call(_run_fn, feeds, fetches, targets, options,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py", line 1384, in _do_call
              || |     raise type(e)(node_def, op, message)
              || | tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
              || |   (0) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || |   (1) Unknown: 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 default_policy/functional_1_1/conv_value_1/Relu (defined at /usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py:103) ]]
              || | 	 [[default_policy/strided_slice_1/_3]]
              || | 0 successful operations.
              || | 0 derived errors ignored.
              || |
              || | Original stack trace for 'default_policy/functional_1_1/conv_value_1/Relu':
              || |   File "solution.py", line 127, in <module>
              || |     main()
              || |   File "solution.py", line 123, in main
              || |     wrap_direct(node=node, protocol=protocol)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/interface.py", line 24, in wrap_direct
              || |     run_loop(node, protocol, args)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 243, in run_loop
              || |     loop(node_name, fi, fo, node, protocol, tin, tout, config=config, fi_desc=fin, fo_desc=fout)
              || |   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 322, in loop
              || |     call_if_fun_exists(node, "init", context=context_data)
              || |   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 29, in init
              || |     self.model = RLlibModel(SEED,experiment_idx=0,checkpoint_idx=0,logger=context)
              || |   File "/submission/model.py", line 55, in __init__
              || |     self.model = PPOTrainer(config=config["rllib_config"])
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 90, in __init__
              || |     Trainer.__init__(self, config, env, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 455, in __init__
              || |     super().__init__(config, logger_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/tune/trainable.py", line 174, in __init__
              || |     self._setup(copy.deepcopy(self.config))
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 596, in _setup
              || |     self._init(self.config, self.env_creator)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer_template.py", line 115, in _init
              || |     self.workers = self._make_workers(env_creator, self._policy,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 662, in _make_workers
              || |     return WorkerSet(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 61, in __init__
              || |     self._local_worker = self._make_worker(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/worker_set.py", line 237, in _make_worker
              || |     worker = cls(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 360, in __init__
              || |     self._build_policy_map(policy_dict, policy_config)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/evaluation/rollout_worker.py", line 842, in _build_policy_map
              || |     policy_map[name] = cls(obs_space, act_space, merged_conf)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 129, in __init__
              || |     DynamicTFPolicy.__init__(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 237, in __init__
              || |     self._initialize_loss()
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/dynamic_tf_policy.py", line 324, in _initialize_loss
              || |     postprocessed_batch = self.postprocess_trajectory(
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/tf_policy_template.py", line 155, in postprocess_trajectory
              || |     return postprocess_fn(self, sample_batch, other_agent_batches,
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 182, in postprocess_ppo_gae
              || |     last_r = policy._value(sample_batch[SampleBatch.NEXT_OBS][-1],
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/tf_ops.py", line 84, in call
              || |     symbolic_out[0] = fn(*placeholders)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_tf_policy.py", line 235, in value
              || |     model_out, _ = self.model({
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/modelv2.py", line 150, in __call__
              || |     res = self.forward(restored, state or [], seq_lens)
              || |   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/tf/visionnet_v2.py", line 103, in forward
              || |     model_out, self._value_out = self.base_model(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              || |     outputs = call_fn(cast_inputs, *args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 385, in call
              || |     return self._run_internal_graph(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/functional.py", line 508, in _run_internal_graph
              || |     outputs = node.layer(*args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_v1.py", line 776, in __call__
              || |     outputs = call_fn(cast_inputs, *args, **kwargs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/layers/convolutional.py", line 269, in call
              || |     return self.activation(outputs)
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/gen_nn_ops.py", line 10435, in relu
              || |     _, _, _op, _outputs = _op_def_library._apply_op_helper(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/op_def_library.py", line 742, in _apply_op_helper
              || |     op = g._create_op_internal(op_type_name, inputs, dtypes=None,
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 3477, in _create_op_internal
              || |     ret = Operation(
              || |   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 1949, in __init__
              || |     self._traceback = tf_stack.extract_stack()
              || |
              || |
              ||

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 275, in main
    raise InvalidSubmission(msg) from e
duckietown_challenges.exceptions.InvalidSubmission: Getting agent protocol

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66107

sim-0of4

success

2021-04-09 14:03:49+00:00

2021-04-09 14:13:34+00:00

0:09:45

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66103

sim-2of4

success

2021-04-09 14:02:44+00:00

2021-04-09 14:12:18+00:00

0:09:34

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66102

sim-3of4

success

2021-04-09 14:02:39+00:00

2021-04-09 14:14:11+00:00

0:11:32

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62366

348

success

yes

2021-03-23 10:52:52+00:00

2021-03-23 11:50:20+00:00

0:57:28

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62162

348

success

2021-02-01 06:35:12+00:00

2021-02-01 07:33:55+00:00

0:58:43

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