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Build Operating System: Linux 4.4.0-168-generic x86_64 Ubuntu
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Kernel command line: BOOT_IMAGE=/boot/vmlinuz-4.15.0-91-generic root=UUID=ebf7b11c-e1bc-4725-a0d2-d42aee76509f ro net.ifnames=0 consoleblank=600 console=tty0 console=ttyS0,115200n8 nospectre_v2 nopti noibrs noibpb
Build Date: 14 November 2019 06:20:00PM
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INFO:/tmp/codalab/tmpPgnwlz/run/program/evaluate.py:root_path=[metadata, evaluate.py, envision, smarts, cli, .DS_Store]
INFO:/tmp/codalab/tmpPgnwlz/run/program/evaluate.py:input_dir=[tmp3pH7Cx.zip, history, ref, metadata, coopetition, scores, res, tmpHaPdD_.txt, tmpM9jn6k.zip, tmp2U3Xpy.txt, tmp2EjBLb.zip]
INFO:/tmp/codalab/tmpPgnwlz/run/program/evaluate.py:output_dir=[metadata]
INFO:/tmp/codalab/tmpPgnwlz/run/program/evaluate.py:submission_dir=[agent.py, metadata, checkpoint, __pycache__, rllib_agent_config_test.py, networks.py, utils]
INFO:/tmp/codalab/tmpPgnwlz/run/program/evaluate.py:eval_scenarios_dir=[crossroads, roundabout, double_merge, ramp, t_junction]
INFO:/tmp/codalab/tmpPgnwlz/run/program/evaluate.py:scores_dir=[metadata]
INFO:/tmp/codalab/tmpPgnwlz/run/program/evaluate.py:submission_dir=/tmp/codalab/tmpPgnwlz/run/input/res, eval_scenarios_dir=/tmp/codalab/tmpPgnwlz/run/input/ref/dataset_evaluation, scores_dir=/tmp/codalab/tmpPgnwlz/run/output
2020-08-31 09:56:24,381 INFO catalog.py:308 -- Wrapping as None
2020-08-31 09:56:26,102 INFO catalog.py:308 -- Wrapping as None
2020-08-31 09:56:27,248 INFO catalog.py:308 -- Wrapping as None
2020-08-31 09:56:28,495 INFO catalog.py:308 -- Wrapping as None
2020-08-31 09:56:29,655 INFO catalog.py:308 -- Wrapping as None
INFO:/tmp/codalab/tmpPgnwlz/run/program/evaluate.py:Loaded user agent specs={'crossroads': AgentSpec(interface=AgentInterface(debug=False, max_episode_steps=None, neighborhood_vehicles=NeighborhoodVehicles(radius=100), waypoints=Waypoints(lookahead=10), road_waypoints=False, drivable_area_grid_map=False, ogm=False, rgb=RGB(width=256, height=256, resolution=0.09375), lidar=False, action=, obs_stack_size=3), policy_builder= at 0x7f5e7acd4050>, policy_params=None, observation_adapter=.observation_adapter at 0x7f5e7ac285f0>, action_adapter=, reward_adapter=.reward_adapter at 0x7f5e7ac28680>, info_adapter=), 'double_merge': AgentSpec(interface=AgentInterface(debug=False, max_episode_steps=None, neighborhood_vehicles=NeighborhoodVehicles(radius=100), waypoints=Waypoints(lookahead=10), road_waypoints=False, drivable_area_grid_map=False, ogm=False, rgb=False, lidar=False, action=, obs_stack_size=3), policy_builder= at 0x7f5e7ac28ef0>, policy_params=None, observation_adapter=.observation_adapter at 0x7f5e7ac287a0>, action_adapter=, reward_adapter=.reward_adapter at 0x7f5e7ac28830>, info_adapter=), 'ramp': AgentSpec(interface=AgentInterface(debug=False, max_episode_steps=None, neighborhood_vehicles=NeighborhoodVehicles(radius=100), waypoints=Waypoints(lookahead=10), road_waypoints=False, drivable_area_grid_map=False, ogm=False, rgb=False, lidar=False, action=, obs_stack_size=3), policy_builder= at 0x7f5e7ac28f80>, policy_params=None, observation_adapter=.observation_adapter at 0x7f5e7ac28950>, action_adapter=, reward_adapter=.reward_adapter at 0x7f5e7ac289e0>, info_adapter=), 'roundabout': AgentSpec(interface=AgentInterface(debug=False, max_episode_steps=None, neighborhood_vehicles=NeighborhoodVehicles(radius=100), waypoints=Waypoints(lookahead=10), road_waypoints=False, drivable_area_grid_map=False, ogm=False, rgb=False, lidar=False, action=, obs_stack_size=3), policy_builder= at 0x7f5e7ac28e60>, policy_params=None, observation_adapter=.observation_adapter at 0x7f5e7ac28b00>, action_adapter=, reward_adapter=.reward_adapter at 0x7f5e7ac28b90>, info_adapter=), 't_junction': AgentSpec(interface=AgentInterface(debug=False, max_episode_steps=None, neighborhood_vehicles=NeighborhoodVehicles(radius=100), waypoints=Waypoints(lookahead=10), road_waypoints=False, drivable_area_grid_map=False, ogm=False, rgb=RGB(width=256, height=256, resolution=0.09375), lidar=False, action=, obs_stack_size=3), policy_builder= at 0x7f5e7ac28dd0>, policy_params=None, observation_adapter=.observation_adapter at 0x7f5e7ac28cb0>, action_adapter=, reward_adapter=.reward_adapter at 0x7f5e7ac28d40>, info_adapter=)}
INFO:/tmp/codalab/tmpPgnwlz/run/program/evaluate.py:Found scenario=crossroads in /tmp/codalab/tmpPgnwlz/run/input/ref/dataset_evaluation...
INFO:/tmp/codalab/tmpPgnwlz/run/program/evaluate.py:Found tiny case=2lane in /tmp/codalab/tmpPgnwlz/run/input/ref/dataset_evaluation/crossroads ...
INFO:/tmp/codalab/tmpPgnwlz/run/program/evaluate.py:
INFO:/tmp/codalab/tmpPgnwlz/run/program/evaluate.py:****************************************
INFO:/tmp/codalab/tmpPgnwlz/run/program/evaluate.py:Running evaluation for scenario=/tmp/codalab/tmpPgnwlz/run/input/ref/dataset_evaluation/crossroads/2lane, n_episodes=4, max_episode_steps=1000
INFO:TrafficGenerator:Routes at routes=/tmp/codalab/tmpPgnwlz/run/input/ref/dataset_evaluation/crossroads/2lane/traffic/vertical.rou.xml already exist, overwriting
INFO:sh.command:: starting process
INFO:sh.command:: process started
INFO:sh.command:: process completed
INFO:TrafficGenerator:Routes at routes=/tmp/codalab/tmpPgnwlz/run/input/ref/dataset_evaluation/crossroads/2lane/traffic/horizontal.rou.xml already exist, overwriting
INFO:sh.command:: starting process
INFO:sh.command:: process started
INFO:sh.command:: process completed
INFO:TrafficGenerator:Routes at routes=/tmp/codalab/tmpPgnwlz/run/input/ref/dataset_evaluation/crossroads/2lane/traffic/unprotected_left.rou.xml already exist, overwriting
INFO:sh.command:: starting process
INFO:sh.command:: process started
INFO:sh.command:: process completed
INFO:TrafficGenerator:Routes at routes=/tmp/codalab/tmpPgnwlz/run/input/ref/dataset_evaluation/crossroads/2lane/traffic/turns.rou.xml already exist, overwriting
INFO:sh.command:: starting process
INFO:sh.command:: process started
INFO:sh.command:: process completed
INFO:TrafficGenerator:Routes at routes=/tmp/codalab/tmpPgnwlz/run/input/ref/dataset_evaluation/crossroads/2lane/traffic/all.rou.xml already exist, overwriting
INFO:sh.command:: starting process
INFO:sh.command:: process started
INFO:sh.command:: process completed
Known pipe types:
glxGraphicsPipe
(all display modules loaded.)
:device(error): Error adding inotify watch on /dev/input: No such file or directory
:device(error): Error opening directory /dev/input: No such file or directory
INFO:/tmp/codalab/tmpPgnwlz/run/program/evaluate.py:========================================
INFO:/tmp/codalab/tmpPgnwlz/run/program/evaluate.py:Episode (0) start
Traceback (most recent call last):
File "/tmp/codalab/tmpPgnwlz/run/program/evaluate.py", line 357, in
n_episodes=4,
File "/tmp/codalab/tmpPgnwlz/run/program/evaluate.py", line 253, in run_simulation
actions[agent_id] = agents[agent_id].act(observation)
File "/tmp/codalab/tmpPgnwlz/run/program/smarts/core/agent.py", line 61, in act
action = self.policy.act(observation)
File "/tmp/codalab/tmpPgnwlz/run/input/res/agent.py", line 53, in act
obs = self._prep.transform(obs)
File "/usr/local/lib/python3.7/dist-packages/ray/rllib/models/preprocessors.py", line 232, in transform
self.check_shape(observation)
File "/usr/local/lib/python3.7/dist-packages/ray/rllib/models/preprocessors.py", line 62, in check_shape
self._obs_space, observation)
ValueError: ('Observation outside expected value range', Dict(distance_to_center:Box(3, 1), goal_relative_pos:Box(3, 2), heading_errors:Box(3, 10), img_gray:Box(3, 24, 24), neighbor:Box(3, 40), pos:Box(3, 2), speed:Box(3, 1), steering:Box(3, 1)), {'distance_to_center': array([[1.13686838e-12],
[1.13686838e-12],
[1.13686838e-12]]), 'goal_relative_pos': array([[-0.214 , 0.1172],
[-0.214 , 0.1172],
[-0.214 , 0.1172]]), 'heading_errors': array([[0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
0., 0., 0., 0.]]), 'img_gray': array([[[0., 0., 0., ..., 0., 0., 0.],
[0., 0., 0., ..., 0., 0., 0.],
[0., 0., 0., ..., 0., 0., 0.],
...,
[0., 0., 0., ..., 0., 0., 0.],
[0., 0., 0., ..., 0., 0., 0.],
[0., 0., 0., ..., 0., 0., 0.]],
[[0., 0., 0., ..., 0., 0., 0.],
[0., 0., 0., ..., 0., 0., 0.],
[0., 0., 0., ..., 0., 0., 0.],
...,
[0., 0., 0., ..., 0., 0., 0.],
[0., 0., 0., ..., 0., 0., 0.],
[0., 0., 0., ..., 0., 0., 0.]],
[[0., 0., 0., ..., 0., 0., 0.],
[0., 0., 0., ..., 0., 0., 0.],
[0., 0., 0., ..., 0., 0., 0.],
...,
[0., 0., 0., ..., 0., 0., 0.],
[0., 0., 0., ..., 0., 0., 0.],
[0., 0., 0., ..., 0., 0., 0.]]]), 'neighbor': array([[ 47.095533 , -8.24140343, 1000. , 40.84795746,
23.44 , 30.9691976 , 0. , 1000. ,
20.24 , 23.44 , 27.07082672, 3.28761222,
8.23419093, -17.97698694, 20.24 , 56.65741304,
7.92289288, 7.15110174, -52.91885158, 20.24 ,
0. , 0. , 0. , 0. ,
0. , 0. , 0. , 0. ,
0. , 0. , 12.66479383, -0. ,
1000. , 0. , -12.66479383, 0. ,
0. , 0. , 0. , 0. ],
[ 47.095533 , -8.24140343, 1000. , 40.84795746,
23.44 , 30.9691976 , 0. , 1000. ,
20.24 , 23.44 , 27.07082672, 3.28761222,
8.23419093, -17.97698694, 20.24 , 56.65741304,
7.92289288, 7.15110174, -52.91885158, 20.24 ,
0. , 0. , 0. , 0. ,
0. , 0. , 0. , 0. ,
0. , 0. , 12.66479383, -0. ,
1000. , 0. , -12.66479383, 0. ,
0. , 0. , 0. , 0. ],
[ 47.095533 , -8.24140343, 1000. , 40.84795746,
23.44 , 30.9691976 , 0. , 1000. ,
20.24 , 23.44 , 27.07082672, 3.28761222,
8.23419093, -17.97698694, 20.24 , 56.65741304,
7.92289288, 7.15110174, -52.91885158, 20.24 ,
0. , 0. , 0. , 0. ,
0. , 0. , 0. , 0. ,
0. , 0. , 12.66479383, -0. ,
1000. , 0. , -12.66479383, 0. ,
0. , 0. , 0. , 0. ]]), 'pos': array([[151.6 , -81.84],
[151.6 , -81.84],
[151.6 , -81.84]]), 'speed': array([[0.],
[0.],
[0.]]), 'steering': array([[-0.],
[-0.],
[-0.]])})