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Evaluator 5557

ID5557
evaluator33
ownerAndrea Daniele 🇮🇹
machinereal2
process33
version6.2.40
first heard
last heard
statusinactive
# evaluating
# success15 122126
# timeout
# failed
# error
# aborted40 122121
# host-error
arm0
x86_641
Mac0
gpu available1
Number of processors32
Processor frequency (MHz)3.3 GHz
Free % of processors90%
RAM total (MB)125.8 GB
RAM free (MB)91.0 GB
Disk (MB)233.7 GB
Disk available (MB)32.9 GB
Docker Hub
P11
P2
Cloud simulations0
PI Camera0
# Duckiebots1
Map 3x3 avaiable
Number of duckies0
gpu cores
AIDO 2 Map LF public
AIDO 2 Map LF private
AIDO 2 Map LFV public
AIDO 2 Map LFV private
AIDO 2 Map LFVI public
AIDO 2 Map LFVI private
AIDO 3 Map LF public
AIDO 3 Map LF private
AIDO 3 Map LFV public
AIDO 3 Map LFV private
AIDO 3 Map LFVI public
AIDO 3 Map LFVI private
AIDO 5 Map large loop1
ETU track
for 2021, map is ETH_small_inter
IPFS mountpoint /ipfs available
IPNS mountpoint /ipns available

Evaluator jobs

Job IDsubmissionuseruser labelchallengestepstatusup to dateevaluatordate starteddate completeddurationmessage
12308518560Sampsa RantaQuack² - 3-2-1 Go Realaido-LF-real-validationeval2abortedyes330:00:47
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12308418560Sampsa RantaQuack² - 3-2-1 Go Realaido-LF-real-validationeval2abortedyes330:00:03
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12308218560Sampsa RantaQuack² - 3-2-1 Go Realaido-LF-real-validationeval2abortedyes330:00:05
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12308118560Sampsa RantaQuack² - 3-2-1 Go Realaido-LF-real-validationeval2abortedyes330:00:03
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12307018560Sampsa RantaQuack² - 3-2-1 Go Realaido-LF-real-validationeval2successyes330:03:58
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12306918561Bence Haromibme-real-finalaido-LF-real-validationeval2abortedyes330:00:04
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12306618561Bence Haromibme-real-finalaido-LF-real-validationeval2abortedyes330:00:05
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12306418561Bence Haromibme-real-finalaido-LF-real-validationeval2abortedyes330:00:24
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12306318561Bence Haromibme-real-finalaido-LF-real-validationeval2abortedyes330:00:09
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12306218561Bence Haromibme-real-finalaido-LF-real-validationeval2abortedyes330:00:10
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12306018561Bence Haromibme-real-finalaido-LF-real-validationeval2abortedyes330:00:03
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12305918561Bence Haromibme-real-finalaido-LF-real-validationeval2abortedyes330:00:04
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12305818561Bence Haromibme-real-finalaido-LF-real-validationeval2abortedyes330:00:07
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12304918561Bence Haromibme-real-finalaido-LF-real-validationeval2successyes330:02:53
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12304818560Sampsa RantaQuack² - 3-2-1 Go Realaido-LF-real-validationeval1abortedyes330:00:04
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12304718560Sampsa RantaQuack² - 3-2-1 Go Realaido-LF-real-validationeval1abortedyes330:00:04
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12304318560Sampsa RantaQuack² - 3-2-1 Go Realaido-LF-real-validationeval1abortedyes330:00:04
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12304218560Sampsa RantaQuack² - 3-2-1 Go Realaido-LF-real-validationeval1abortedyes330:00:08
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12303018560Sampsa RantaQuack² - 3-2-1 Go Realaido-LF-real-validationeval1successyes330:04:06
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12302118561Bence Haromibme-real-finalaido-LF-real-validationeval1successyes330:01:45
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12301918562ETU-JBR Teamfinalist 2021aido-LF-real-validationeval0abortedyes330:00:06
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12301818562ETU-JBR Teamfinalist 2021aido-LF-real-validationeval0abortedyes330:00:05
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12301618562ETU-JBR Teamfinalist 2021aido-LF-real-validationeval0abortedyes330:00:38
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12301418562ETU-JBR Teamfinalist 2021aido-LF-real-validationeval0abortedyes330:00:04
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12301218562ETU-JBR Teamfinalist 2021aido-LF-real-validationeval0abortedyes330:00:03
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12300618562ETU-JBR Teamfinalist 2021aido-LF-real-validationeval0successyes330:02:03
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12300418560Sampsa RantaQuack² - 3-2-1 Go Realaido-LF-real-validationeval0abortedyes330:00:12
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12299718560Sampsa RantaQuack² - 3-2-1 Go Realaido-LF-real-validationeval0successyes330:05:21
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12299618561Bence Haromibme-real-finalaido-LF-real-validationeval0abortedyes330:02:36
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12299518561Bence Haromibme-real-finalaido-LF-real-validationeval0abortedyes330:00:03
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12299418561Bence Haromibme-real-finalaido-LF-real-validationeval0abortedyes330:00:06
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12299318561Bence Haromibme-real-finalaido-LF-real-validationeval0abortedyes330:00:08
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12299118561Bence Haromibme-real-finalaido-LF-real-validationeval0abortedyes330:00:04
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12298618561Bence Haromibme-real-finalaido-LF-real-validationeval0successyes330:03:30
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12268418408ETU-JBR Teamfinalist 2021aido-LF-real-validationeval2successyes330:05:46
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12266518408ETU-JBR Teamfinalist 2021aido-LF-real-validationeval2abortedyes330:09:44
==> Entrypoint Netwo [...]
==> Entrypoint
Network configured successfully.
INFO: ROBOT_TYPE is externally set to 'duckiebot'.
<== Entrypoint
DEBUG:commons:version: 6.2.4 *
DEBUG:typing:version: 6.2.3
DEBUG:duckietown_world:duckietown-world version 6.2.38 path /usr/local/lib/python3.8/dist-packages
DEBUG:geometry:PyGeometry-z6 version 2.1.4 path /usr/local/lib/python3.8/dist-packages
DEBUG:aido_schemas:aido-protocols version 6.0.59 path /usr/local/lib/python3.8/dist-packages
DEBUG:nodes:version 6.2.13 path /usr/local/lib/python3.8/dist-packages pyparsing 2.4.6
DEBUG:gym-duckietown:gym-duckietown version 6.1.30 path /usr/local/lib/python3.8/dist-packages

DEBUG:ipce:version 6.1.1 path /usr/local/lib/python3.8/dist-packages
DEBUG:nodes_wrapper:checking implementation
DEBUG:nodes_wrapper:checking implementation OK
DEBUG:nodes_wrapper.PytorchRLTemplateAgent:run_loop
  fin: /fifos/ego0-in
 fout: fifo:/fifos/ego0-out
DEBUG:nodes_wrapper:Fifo /fifos/ego0-out created. I will block until a reader appears.
DEBUG:nodes_wrapper:Fifo reader appeared for /fifos/ego0-out.
DEBUG:nodes_wrapper.PytorchRLTemplateAgent:Starting reading
 fi_desc: /fifos/ego0-in
 fo_desc: fifo:/fifos/ego0-out
INFO:nodes_wrapper.PytorchRLTemplateAgent.data:4f0c3aefd4f0:PytorchRLTemplateAgent: torch.cuda.is_available = True AIDO_REQUIRE_GPU = None
INFO:nodes_wrapper.PytorchRLTemplateAgent.data:4f0c3aefd4f0:PytorchRLTemplateAgent: init()
INFO:nodes_wrapper.PytorchRLTemplateAgent.data:4f0c3aefd4f0:PytorchRLTemplateAgent: device 0 of 1; name = 'GeForce GTX 1080 Ti'
INFO:aido_schemas:PytorchRLTemplateAgent init
2021-12-08 23:57:55,031	WARNING deprecation.py:38 -- DeprecationWarning: `monitor` has been deprecated. Use `record_env` instead. This will raise an error in the future!
2021-12-08 23:57:55,031	WARNING ppo.py:143 -- `train_batch_size` (128) cannot be achieved with your other settings (num_workers=1 num_envs_per_worker=1 rollout_fragment_length=200)! Auto-adjusting `rollout_fragment_length` to 128.
2021-12-08 23:57:55,384	WARNING services.py:1748 -- WARNING: The object store is using /tmp instead of /dev/shm because /dev/shm has only 67096576 bytes available. This will harm performance! You may be able to free up space by deleting files in /dev/shm. If you are inside a Docker container, you can increase /dev/shm size by passing '--shm-size=10.24gb' to 'docker run' (or add it to the run_options list in a Ray cluster config). Make sure to set this to more than 30% of available RAM.
(pid=351) DEBUG:commons:version: 6.2.4 *
(pid=351) DEBUG:typing:version: 6.2.3
(pid=351) DEBUG:duckietown_world:duckietown-world version 6.2.38 path /usr/local/lib/python3.8/dist-packages
(pid=351) DEBUG:geometry:PyGeometry-z6 version 2.1.4 path /usr/local/lib/python3.8/dist-packages
(pid=351) DEBUG:aido_schemas:aido-protocols version 6.0.59 path /usr/local/lib/python3.8/dist-packages
(pid=351) DEBUG:nodes:version 6.2.13 path /usr/local/lib/python3.8/dist-packages pyparsing 2.4.6
(pid=351) DEBUG:gym-duckietown:gym-duckietown version 6.1.30 path /usr/local/lib/python3.8/dist-packages
(pid=351)
(pid=351) WARNING:wrappers.general_wrappers:Dummy Duckietown Gym reset() called!
(pid=351) 2021-12-08 23:58:05,973	WARNING deprecation.py:38 -- DeprecationWarning: `SampleBatch['is_training']` has been deprecated. Use `SampleBatch.is_training` instead. This will raise an error in the future!
2021-12-08 23:58:09,085	WARNING deprecation.py:38 -- DeprecationWarning: `SampleBatch['is_training']` has been deprecated. Use `SampleBatch.is_training` instead. This will raise an error in the future!
2021-12-08 23:58:09,126	WARNING trainer_template.py:185 -- `execution_plan` functions should accept `trainer`, `workers`, and `config` as args!
2021-12-08 23:58:09,127	WARNING deprecation.py:38 -- DeprecationWarning: `monitor` has been deprecated. Use `record_env` instead. This will raise an error in the future!
2021-12-08 23:58:09,127	WARNING deprecation.py:38 -- DeprecationWarning: `simple_optimizer` has been deprecated. This will raise an error in the future!
WARNING:wrappers.general_wrappers:Dummy Duckietown Gym reset() called!
/usr/local/lib/python3.8/dist-packages/gym/wrappers/monitor.py:86: UserWarning: WARN: Trying to monitor an environment which has no 'spec' set. This usually means you did not create it via 'gym.make', and is recommended only for advanced users.
  logger.warn(
2021-12-08 23:58:09,232	INFO trainable.py:110 -- Trainable.setup took 14.202 seconds. If your trainable is slow to initialize, consider setting reuse_actors=True to reduce actor creation overheads.
2021-12-08 23:58:09,233	WARNING util.py:57 -- Install gputil for GPU system monitoring.
2021-12-08 23:58:09,297	INFO trainable.py:416 -- Restored on 172.17.0.3 from checkpoint: ./tf_models/checkpoint-391
2021-12-08 23:58:09,297	INFO trainable.py:424 -- Current state after restoring: {'_iteration': 391, '_timesteps_total': 0, '_time_total': 23444.33237552643, '_episodes_total': 2069}
INFO:aido_schemas:PytorchRLTemplateAgent init complete
INFO:nodes_wrapper.PytorchRLTemplateAgent.data:4f0c3aefd4f0:PytorchRLTemplateAgent: Starting episode "episode".
INFO:aido_schemas:OBS: 0
INFO:aido_schemas:counter: 0; type:<class 'wrappers.observe_wrappers.ClipImageWrapper'>; img: <class 'numpy.ndarray'>, (480, 640, 3)
INFO:aido_schemas:counter: 1; type:<class 'wrappers.observe_wrappers.HSVHSLWrapper'>; img: <class 'numpy.ndarray'>, (270, 640, 3)
INFO:aido_schemas:counter: 2; type:<class 'wrappers.observe_wrappers.ResizeWrapper'>; img: <class 'numpy.ndarray'>, (270, 640, 3)
INFO:aido_schemas:counter: 3; type:<class 'wrappers.observe_wrappers.ObservationBufferWrapper'>; img: <class 'numpy.ndarray'>, (84, 84, 3)
INFO:aido_schemas:counter: 4; type:<class 'wrappers.observe_wrappers.NormalizeWrapper'>; img: <class 'numpy.ndarray'>, (84, 84, 9)
INFO:aido_schemas:OBS ENDD: 0
INFO:aido_schemas:Action: 0
INFO:aido_schemas:OBS: 1
INFO:aido_schemas:counter: 0; type:<class 'wrappers.observe_wrappers.ClipImageWrapper'>; img: <class 'numpy.ndarray'>, (480, 640, 3)
INFO:aido_schemas:counter: 1; type:<class 'wrappers.observe_wrappers.HSVHSLWrapper'>; img: <class 'numpy.ndarray'>, (270, 640, 3)
INFO:aido_schemas:counter: 2; type:<class 'wrappers.observe_wrappers.ResizeWrapper'>; img: <class 'numpy.ndarray'>, (270, 640, 3)
INFO:aido_schemas:counter: 3; type:<class 'wrappers.observe_wrappers.ObservationBufferWrapper'>; img: <class 'numpy.ndarray'>, (84, 84, 3)
INFO:aido_schemas:counter: 4; type:<class 'wrappers.observe_wrappers.NormalizeWrapper'>; img: <class 'numpy.ndarray'>, (84, 84, 9)
INFO:aido_schemas:OBS ENDD: 1
INFO:aido_schemas:Action: 1
INFO:aido_schemas:OBS: 2
INFO:aido_schemas:counter: 0; type:<class 'wrappers.observe_wrappers.ClipImageWrapper'>; img: <class 'numpy.ndarray'>, (480, 640, 3)
INFO:aido_schemas:counter: 1; type:<class 'wrappers.observe_wrappers.HSVHSLWrapper'>; img: <class 'numpy.ndarray'>, (270, 640, 3)
INFO:aido_schemas:counter: 2; type:<class 'wrappers.observe_wrappers.ResizeWrapper'>; img: <class 'numpy.ndarray'>, (270, 640, 3)
INFO:aido_schemas:counter: 3; type:<class 'wrappers.observe_wrappers.ObservationBufferWrapper'>; img: <class 'numpy.ndarray'>, (84, 84, 3)
INFO:aido_schemas:counter: 4; type:<class 'wrappers.observe_wrappers.NormalizeWrapper'>; img: <class 'numpy.ndarray'>, (84, 84, 9)
INFO:aido_schemas:OBS ENDD: 2
INFO:aido_schemas:Action: 2
INFO:aido_schemas:OBS: 3
INFO:aido_schemas:counter: 0; type:<class 'wrappers.observe_wrappers.ClipImageWrapper'>; img: <class 'numpy.ndarray'>, (480, 640, 3)
INFO:aido_schemas:counter: 1; type:<class 'wrappers.observe_wrappers.HSVHSLWrapper'>; img: <class 'numpy.ndarray'>, (270, 640, 3)
INFO:aido_schemas:counter: 2; type:<class 'wrappers.observe_wrappers.ResizeWrapper'>; img: <class 'numpy.ndarray'>, (270, 640, 3)
INFO:aido_schemas:counter: 3; type:<class 'wrappers.observe_wrappers.ObservationBufferWrapper'>; img: <class 'numpy.ndarray'>, (84, 84, 3)
INFO:aido_schemas:counter: 4; type:<class 'wrappers.observe_wrappers.NormalizeWrapper'>; img: <class 'numpy.ndarray'>, (84, 84, 9)
INFO:aido_schemas:OBS ENDD: 3
INFO:aido_schemas:Action: 3
INFO:aido_schemas:OBS: 4
INFO:aido_schemas:counter: 0; type:<class 'wrappers.observe_wrappers.ClipImageWrapper'>; img: <class 'numpy.ndarray'>, (480, 640, 3)
INFO:aido_schemas:counter: 1; type:<class 'wrappers.observe_wrappers.HSVHSLWrapper'>; img: <class 'numpy.ndarray'>, (270, 640, 3)
INFO:aido_schemas:counter: 2; type:<class 'wrappers.observe_wrappers.ResizeWrapper'>; img: <class 'numpy.ndarray'>, (270, 640, 3)
INFO:aido_schemas:counter: 3; type:<class 'wrappers.observe_wrappers.ObservationBufferWrapper'>; img: <class 'numpy.ndarray'>, (84, 84, 3)
INFO:aido_schemas:counter: 4; type:<class 'wrappers.observe_wrappers.NormalizeWrapper'>; img: <class 'numpy.ndarray'>, (84, 84, 9)
INFO:aido_schemas:OBS ENDD: 4
INFO:aido_schemas:Action: 4
INFO:aido_schemas:OBS: 5
INFO:aido_schemas:counter: 0; type:<class 'wrappers.observe_wrappers.ClipImageWrapper'>; img: <class 'numpy.ndarray'>, (480, 640, 3)
INFO:aido_schemas:counter: 1; type:<class 'wrappers.observe_wrappers.HSVHSLWrapper'>; img: <class 'numpy.ndarray'>, (270, 640, 3)
INFO:aido_schemas:counter: 2; type:<class 'wrappers.observe_wrappers.ResizeWrapper'>; img: <class 'numpy.ndarray'>, (270, 640, 3)
INFO:aido_schemas:counter: 3; type:<class 'wrappers.observe_wrappers.ObservationBufferWrapper'>; img: <class 'numpy.ndarray'>, (84, 84, 3)
INFO:aido_schemas:counter: 4; type:<class 'wrappers.observe_wrappers.NormalizeWrapper'>; img: <class 'numpy.ndarray'>, (84, 84, 9)
INFO:aido_schemas:OBS ENDD: 5
INFO:aido_schemas:Action: 5
INFO:aido_schemas:OBS: 6
INFO:aido_schemas:counter: 0; type:<class 'wrappers.observe_wrappers.ClipImageWrapper'>; img: <class 'numpy.ndarray'>, (480, 640, 3)
INFO:aido_schemas:counter: 1; type:<class 'wrappers.observe_wrappers.HSVHSLWrapper'>; img: <class 'numpy.ndarray'>, (270, 640, 3)
INFO:aido_schemas:counter: 2; type:<class 'wrappers.observe_wrappers.ResizeWrapper'>; img: <class 'numpy.ndarray'>, (270, 640, 3)
INFO:aido_schemas:counter: 3; type:<class 'wrappers.observe_wrappers.ObservationBufferWrapper'>; img: <class 'numpy.ndarray'>, (84, 84, 3)
INFO:aido_schemas:counter: 4; type:<class 'wrappers.observe_wrappers.NormalizeWrapper'>; img: <class 'numpy.ndarray'>, (84, 84, 9)
INFO:aido_schemas:OBS ENDD: 6
INFO:aido_schemas:Action: 6
INFO:aido_schemas:OBS: 7
INFO:aido_schemas:counter: 0; type:<class 'wrappers.observe_wrappers.ClipImageWrapper'>; img: <class 'numpy.ndarray'>, (480, 640, 3)
INFO:aido_schemas:counter: 1; type:<class 'wrappers.observe_wrappers.HSVHSLWrapper'>; img: <class 'numpy.ndarray'>, (270, 640, 3)
INFO:aido_schemas:counter: 2; type:<class 'wrappers.observe_wrappers.ResizeWrapper'>; img: <class 'numpy.ndarray'>, (270, 640, 3)
INFO:aido_schemas:counter: 3; type:<class 'wrappers.observe_wrappers.ObservationBufferWrapper'>; img: <class 'numpy.ndarray'>, (84, 84, 3)
INFO:aido_schemas:counter: 4; type:<class 'wrappers.observe_wrappers.NormalizeWrapper'>; img: <class 'numpy.ndarray'>, (84, 84, 9)
INFO:aido_schemas:OBS ENDD: 7
INFO:aido_schemas:Action: 7
INFO:aido_schemas:OBS: 8
INFO:aido_schemas:counter: 0; type:<class 'wrappers.observe_wrappers.ClipImageWrapper'>; img: <class 'numpy.ndarray'>, (480, 640, 3)
INFO:aido_schemas:counter: 1; type:<class 'wrappers.observe_wrappers.HSVHSLWrapper'>; img: <class 'numpy.ndarray'>, (270, 640, 3)
INFO:aido_schemas:counter: 2; type:<class 'wrappers.observe_wrappers.ResizeWrapper'>; img: <class 'numpy.ndarray'>, (270, 640, 3)
INFO:aido_schemas:counter: 3; type:<class 'wrappers.observe_wrappers.ObservationBufferWrapper'>; img: <class 'numpy.ndarray'>, (84, 84, 3)
INFO:aido_schemas:counter: 4; type:<class 'wrappers.observe_wrappers.NormalizeWrapper'>; img: <class 'numpy.ndarray'>, (84, 84, 9)
INFO:aido_schemas:OBS ENDD: 8
INFO:aido_schemas:Action: 8
INFO:aido_schemas:OBS: 9
INFO:aido_schemas:counter: 0; type:<class 'wrappers.observe_wrappers.ClipImageWrapper'>; img: <class 'numpy.ndarray'>, (480, 640, 3)
INFO:aido_schemas:counter: 1; type:<class 'wrappers.observe_wrappers.HSVHSLWrapper'>; img: <class 'numpy.ndarray'>, (270, 640, 3)
INFO:aido_schemas:counter: 2; type:<class 'wrappers.observe_wrappers.ResizeWrapper'>; img: <class 'numpy.ndarray'>, (270, 640, 3)
INFO:aido_schemas:counter: 3; type:<class 'wrappers.observe_wrappers.ObservationBufferWrapper'>; img: <class 'numpy.ndarray'>, (84, 84, 3)
INFO:aido_schemas:counter: 4; type:<class 'wrappers.observe_wrappers.NormalizeWrapper'>; img: <class 'numpy.ndarray'>, (84, 84, 9)
INFO:aido_schemas:OBS ENDD: 9
INFO:aido_schemas:Action: 9
INFO:aido_schemas:OBS: 10
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*** SIGTERM received at time=1639007913 on cpu 28 ***
PC: @           0x56c194  (unknown)  _PyEval_EvalFrameDefault
    @     0x7f2de70e1210  (unknown)  (unknown)
[2021-12-08 23:58:33,831 E 1 1] logging.cc:313: *** SIGTERM received at time=1639007913 on cpu 28 ***
[2021-12-08 23:58:33,831 E 1 1] logging.cc:313: PC: @           0x56c194  (unknown)  _PyEval_EvalFrameDefault
[2021-12-08 23:58:33,831 E 1 1] logging.cc:313:     @     0x7f2de70e1210  (unknown)  (unknown)
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12265118408ETU-JBR Teamfinalist 2021aido-LF-real-validationeval2abortedyes330:02:36
==> Entrypoint Netwo [...]
==> Entrypoint
Network configured successfully.
INFO: ROBOT_TYPE is externally set to 'duckiebot'.
<== Entrypoint
DEBUG:commons:version: 6.2.4 *
DEBUG:typing:version: 6.2.3
DEBUG:duckietown_world:duckietown-world version 6.2.38 path /usr/local/lib/python3.8/dist-packages
DEBUG:geometry:PyGeometry-z6 version 2.1.4 path /usr/local/lib/python3.8/dist-packages
DEBUG:aido_schemas:aido-protocols version 6.0.59 path /usr/local/lib/python3.8/dist-packages
DEBUG:nodes:version 6.2.13 path /usr/local/lib/python3.8/dist-packages pyparsing 2.4.6
DEBUG:gym-duckietown:gym-duckietown version 6.1.30 path /usr/local/lib/python3.8/dist-packages

DEBUG:ipce:version 6.1.1 path /usr/local/lib/python3.8/dist-packages
DEBUG:nodes_wrapper:checking implementation
DEBUG:nodes_wrapper:checking implementation OK
DEBUG:nodes_wrapper.PytorchRLTemplateAgent:run_loop
  fin: /fifos/ego0-in
 fout: fifo:/fifos/ego0-out
DEBUG:nodes_wrapper:Fifo /fifos/ego0-out created. I will block until a reader appears.
DEBUG:nodes_wrapper:Fifo reader appeared for /fifos/ego0-out.
DEBUG:nodes_wrapper.PytorchRLTemplateAgent:Starting reading
 fi_desc: /fifos/ego0-in
 fo_desc: fifo:/fifos/ego0-out
INFO:nodes_wrapper.PytorchRLTemplateAgent.data:9540bafcad85:PytorchRLTemplateAgent: torch.cuda.is_available = True AIDO_REQUIRE_GPU = None
INFO:nodes_wrapper.PytorchRLTemplateAgent.data:9540bafcad85:PytorchRLTemplateAgent: init()
INFO:nodes_wrapper.PytorchRLTemplateAgent.data:9540bafcad85:PytorchRLTemplateAgent: device 0 of 1; name = 'GeForce GTX 1080 Ti'
INFO:aido_schemas:PytorchRLTemplateAgent init
2021-12-08 23:51:02,047	WARNING deprecation.py:38 -- DeprecationWarning: `monitor` has been deprecated. Use `record_env` instead. This will raise an error in the future!
2021-12-08 23:51:02,048	WARNING ppo.py:143 -- `train_batch_size` (128) cannot be achieved with your other settings (num_workers=1 num_envs_per_worker=1 rollout_fragment_length=200)! Auto-adjusting `rollout_fragment_length` to 128.
2021-12-08 23:51:02,398	WARNING services.py:1748 -- WARNING: The object store is using /tmp instead of /dev/shm because /dev/shm has only 67096576 bytes available. This will harm performance! You may be able to free up space by deleting files in /dev/shm. If you are inside a Docker container, you can increase /dev/shm size by passing '--shm-size=10.24gb' to 'docker run' (or add it to the run_options list in a Ray cluster config). Make sure to set this to more than 30% of available RAM.
(pid=355) DEBUG:commons:version: 6.2.4 *
(pid=355) DEBUG:typing:version: 6.2.3
(pid=355) DEBUG:duckietown_world:duckietown-world version 6.2.38 path /usr/local/lib/python3.8/dist-packages
(pid=355) DEBUG:geometry:PyGeometry-z6 version 2.1.4 path /usr/local/lib/python3.8/dist-packages
(pid=355) DEBUG:aido_schemas:aido-protocols version 6.0.59 path /usr/local/lib/python3.8/dist-packages
(pid=355) DEBUG:nodes:version 6.2.13 path /usr/local/lib/python3.8/dist-packages pyparsing 2.4.6
(pid=355) DEBUG:gym-duckietown:gym-duckietown version 6.1.30 path /usr/local/lib/python3.8/dist-packages
(pid=355)
(pid=355) WARNING:wrappers.general_wrappers:Dummy Duckietown Gym reset() called!
(pid=355) 2021-12-08 23:51:12,502	WARNING deprecation.py:38 -- DeprecationWarning: `SampleBatch['is_training']` has been deprecated. Use `SampleBatch.is_training` instead. This will raise an error in the future!
2021-12-08 23:51:15,220	WARNING deprecation.py:38 -- DeprecationWarning: `SampleBatch['is_training']` has been deprecated. Use `SampleBatch.is_training` instead. This will raise an error in the future!
2021-12-08 23:51:15,256	WARNING trainer_template.py:185 -- `execution_plan` functions should accept `trainer`, `workers`, and `config` as args!
2021-12-08 23:51:15,257	WARNING deprecation.py:38 -- DeprecationWarning: `monitor` has been deprecated. Use `record_env` instead. This will raise an error in the future!
2021-12-08 23:51:15,257	WARNING deprecation.py:38 -- DeprecationWarning: `simple_optimizer` has been deprecated. This will raise an error in the future!
WARNING:wrappers.general_wrappers:Dummy Duckietown Gym reset() called!
/usr/local/lib/python3.8/dist-packages/gym/wrappers/monitor.py:86: UserWarning: WARN: Trying to monitor an environment which has no 'spec' set. This usually means you did not create it via 'gym.make', and is recommended only for advanced users.
  logger.warn(
2021-12-08 23:51:15,351	INFO trainable.py:110 -- Trainable.setup took 13.305 seconds. If your trainable is slow to initialize, consider setting reuse_actors=True to reduce actor creation overheads.
2021-12-08 23:51:15,352	WARNING util.py:57 -- Install gputil for GPU system monitoring.
2021-12-08 23:51:15,408	INFO trainable.py:416 -- Restored on 172.17.0.3 from checkpoint: ./tf_models/checkpoint-391
2021-12-08 23:51:15,408	INFO trainable.py:424 -- Current state after restoring: {'_iteration': 391, '_timesteps_total': 0, '_time_total': 23444.33237552643, '_episodes_total': 2069}
INFO:aido_schemas:PytorchRLTemplateAgent init complete
INFO:nodes_wrapper.PytorchRLTemplateAgent.data:9540bafcad85:PytorchRLTemplateAgent: Starting episode "episode".
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INFO:aido_schemas:counter: 2; type:<class 'wrappers.observe_wrappers.ResizeWrapper'>; img: <class 'numpy.ndarray'>, (270, 640, 3)
INFO:aido_schemas:counter: 3; type:<class 'wrappers.observe_wrappers.ObservationBufferWrapper'>; img: <class 'numpy.ndarray'>, (84, 84, 3)
INFO:aido_schemas:counter: 4; type:<class 'wrappers.observe_wrappers.NormalizeWrapper'>; img: <class 'numpy.ndarray'>, (84, 84, 9)
INFO:aido_schemas:OBS ENDD: 615
INFO:aido_schemas:Action: 615
INFO:aido_schemas:OBS: 616
INFO:aido_schemas:counter: 0; type:<class 'wrappers.observe_wrappers.ClipImageWrapper'>; img: <class 'numpy.ndarray'>, (480, 640, 3)
INFO:aido_schemas:counter: 1; type:<class 'wrappers.observe_wrappers.HSVHSLWrapper'>; img: <class 'numpy.ndarray'>, (270, 640, 3)
INFO:aido_schemas:counter: 2; type:<class 'wrappers.observe_wrappers.ResizeWrapper'>; img: <class 'numpy.ndarray'>, (270, 640, 3)
INFO:aido_schemas:counter: 3; type:<class 'wrappers.observe_wrappers.ObservationBufferWrapper'>; img: <class 'numpy.ndarray'>, (84, 84, 3)
INFO:aido_schemas:counter: 4; type:<class 'wrappers.observe_wrappers.NormalizeWrapper'>; img: <class 'numpy.ndarray'>, (84, 84, 9)
INFO:aido_schemas:OBS ENDD: 616
INFO:aido_schemas:Action: 616
*** SIGTERM received at time=1639007491 on cpu 13 ***
PC: @     0x7f22229613b0  (unknown)  (unknown)
    @     0x7f225d523210  (unknown)  (unknown)
[2021-12-08 23:51:31,961 E 1 1] logging.cc:313: *** SIGTERM received at time=1639007491 on cpu 13 ***
[2021-12-08 23:51:31,961 E 1 1] logging.cc:313: PC: @     0x7f22229613b0  (unknown)  (unknown)
[2021-12-08 23:51:31,961 E 1 1] logging.cc:313:     @     0x7f225d523210  (unknown)  (unknown)
ERROR:nodes_wrapper.PytorchRLTemplateAgent:Error in node PytorchRLTemplateAgent
 ET: InternalProblem
 tb: |Traceback (most recent call last):
     |  File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 416, in loop
     |    handle_message_node(parsed, receiver0, context0)
     |  File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 589, in handle_message_node
{'audio': ('xaudio2', 'directsound', 'openal', 'pulse', 'silent'), 'debug_font': False, 'debug_gl': True, 'debug_gl_trace': False, 'debug_gl_trace_args': False, 'debug_graphics_batch': False, 'debug_lib': False, 'debug_media': False, 'debug_texture': False, 'debug_trace': False, 'debug_trace_args': False, 'debug_trace_depth': 1, 'debug_trace_flush': True, 'debug_win32': False, 'debug_x11': False, 'graphics_vbo': True, 'shadow_window': True, 'vsync': None, 'xsync': True, 'xlib_fullscreen_override_redirect': False, 'darwin_cocoa': True, 'search_local_libs': True, 'advanced_font_features': False, 'headless': False, 'headless_device': 0}
{'callbacks': <ray.rllib.agents.callbacks.MultiCallbacks object at 0x7f21635d41c0>,
 'env': 'Duckietown',
 'env_config': {'accepted_start_angle_deg': 4,
                'action_delay_ratio': 0.0,
                'action_type': 'heading',
                'aido_wrapper': False,
                'camera_rand': False,
                'crop_image_top': True,
                'distortion': True,
                'domain_rand': False,
                'dynamics_rand': False,
                'episode_max_steps': 10,
                'eval': True,
                'experiment_name': 'Debug',
                'frame_repeating': 0.0,
                'frame_skip': 1,
                'frame_stacking': True,
                'frame_stacking_depth': 3,
                'grayscale_image': False,
                'mode': 'debug',
                'motion_blur': False,
     |    call_if_fun_exists(agent, expect_fn, data=ob, context=context, timing=timing)
     |  File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/utils.py", line 21, in call_if_fun_exists
     |    f(**kwargs)
     |  File "solution.py", line 102, in on_received_get_commands
     |    pwm_left, pwm_right = self.compute_action(self.current_image)
     |  File "solution.py", line 84, in compute_action
     |    action = self.model.compute_single_action(observation, explore=False)
     |  File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 1132, in compute_single_action
     |    action, state, extra = policy.compute_single_action(
     |  File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/policy.py", line 243, in compute_single_action
     |    out = self.compute_actions_from_input_dict(
     |  File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/torch_policy.py", line 302, in compute_actions_from_input_dict
     |    return self._compute_action_helper(input_dict, state_batches,
     |  File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/threading.py", line 21, in wrapper
     |    return func(self, *a, **k)
     |  File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/torch_policy.py", line 366, in _compute_action_helper
     |    dist_inputs, state_out = self.model(input_dict, state_batches,
     |  File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/modelv2.py", line 243, in __call__
     |    res = self.forward(restored, state or [], seq_lens)
     |  File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/torch/visionnet.py", line 212, in forward
     |    conv_out = self._convs(self._features)
     |  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 727, in _call_impl
     |    result = self.forward(*input, **kwargs)
     |  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/container.py", line 117, in forward
     |    input = module(input)
     |  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 727, in _call_impl
     |    result = self.forward(*input, **kwargs)
     |  File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/torch/misc.py", line 118, in forward
     |    return self._model(x)
     |  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 727, in _call_impl
     |    result = self.forward(*input, **kwargs)
     |  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/container.py", line 117, in forward
     |    input = module(input)
     |  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 727, in _call_impl
     |    result = self.forward(*input, **kwargs)
     |  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/activation.py", line 102, in forward
     |    return F.relu(input, inplace=self.inplace)
     |  File "/usr/local/lib/python3.8/dist-packages/torch/nn/functional.py", line 1136, in relu
     |    result = torch.relu(input)
     |  File "/usr/local/lib/python3.8/dist-packages/ray/worker.py", line 1027, in sigterm_handler
     |    sys.exit(signum)
     |SystemExit: 15
     |
     |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 287, in run_loop
     |    loop(my_logger, node_name, fi, fo, node, protocol, tin, tout, config=config, fi_desc=fin,
     |  File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 434, in loop
     |    raise InternalProblem(msg) from e  # XXX
     |zuper_nodes.structures.InternalProblem: Exception while handling a message on topic "get_commands".
     |
     || Traceback (most recent call last):
     ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 416, in loop
     ||     handle_message_node(parsed, receiver0, context0)
     ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 589, in handle_message_node
     ||     call_if_fun_exists(agent, expect_fn, data=ob, context=context, timing=timing)
     ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/utils.py", line 21, in call_if_fun_exists
     ||     f(**kwargs)
     ||   File "solution.py", line 102, in on_received_get_commands
     ||     pwm_left, pwm_right = self.compute_action(self.current_image)
     ||   File "solution.py", line 84, in compute_action
     ||     action = self.model.compute_single_action(observation, explore=False)
     ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 1132, in compute_single_action
     ||     action, state, extra = policy.compute_single_action(
     ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/policy.py", line 243, in compute_single_action
     ||     out = self.compute_actions_from_input_dict(
     ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/torch_policy.py", line 302, in compute_actions_from_input_dict
     ||     return self._compute_action_helper(input_dict, state_batches,
                'obstacles': {'duckie': {'density': 0.5, 'static': True},
                              'duckiebot': {'density': 0, 'static': False}},
                'resized_input_shape': '(84, 84)',
                'reward_function': 'posangle',
                'seed': 0,
                'simulation_framerate': 30,
                'spawn_forward_obstacle': False,
                'spawn_obstacles': False,
                'top_crop_divider': 3,
                'training_map': 'loop_empty',
                'wandb': {'project': 'duckietown-rllib'}},
 'evaluation_config': {'monitor': True},
 'evaluation_interval': 25,
 'evaluation_num_episodes': 10,
 'framework': 'torch',
     ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/threading.py", line 21, in wrapper
     ||     return func(self, *a, **k)
 'gamma': 0.99,
 'lr': 0.0001,
 'monitor': False,
 'num_gpus': 1,
 'num_workers': 1,
 'seed': 1234,
 'train_batch_size': 128}
(RolloutWorker pid=355) {'audio': ('xaudio2', 'directsound', 'openal', 'pulse', 'silent'), 'debug_font': False, 'debug_gl': True, 'debug_gl_trace': False, 'debug_gl_trace_args': False, 'debug_graphics_batch': False, 'debug_lib': False, 'debug_media': False, 'debug_texture': False, 'debug_trace': False, 'debug_trace_args': False, 'debug_trace_depth': 1, 'debug_trace_flush': True, 'debug_win32': False, 'debug_x11': False, 'graphics_vbo': True, 'shadow_window': True, 'vsync': None, 'xsync': True, 'xlib_fullscreen_override_redirect': False, 'darwin_cocoa': True, 'search_local_libs': True, 'advanced_font_features': False, 'headless': False, 'headless_device': 0}
Setting the path for recording to /root/ray_results/PPO_Duckietown_2021-12-08_23-51-02f_2iag5g/
     ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/torch_policy.py", line 366, in _compute_action_helper
     ||     dist_inputs, state_out = self.model(input_dict, state_batches,
     ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/modelv2.py", line 243, in __call__
     ||     res = self.forward(restored, state or [], seq_lens)
     ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/torch/visionnet.py", line 212, in forward
     ||     conv_out = self._convs(self._features)
     ||   File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 727, in _call_impl
     ||     result = self.forward(*input, **kwargs)
     ||   File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/container.py", line 117, in forward
     ||     input = module(input)
     ||   File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 727, in _call_impl
     ||     result = self.forward(*input, **kwargs)
     ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/torch/misc.py", line 118, in forward
     ||     return self._model(x)
     ||   File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 727, in _call_impl
     ||     result = self.forward(*input, **kwargs)
     ||   File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/container.py", line 117, in forward
     ||     input = module(input)
     ||   File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 727, in _call_impl
     ||     result = self.forward(*input, **kwargs)
     ||   File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/activation.py", line 102, in forward
     ||     return F.relu(input, inplace=self.inplace)
     ||   File "/usr/local/lib/python3.8/dist-packages/torch/nn/functional.py", line 1136, in relu
     ||     result = torch.relu(input)
     ||   File "/usr/local/lib/python3.8/dist-packages/ray/worker.py", line 1027, in sigterm_handler
     ||     sys.exit(signum)
     || SystemExit: 15
     ||
     |
Traceback (most recent call last):
  File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 416, in loop
    handle_message_node(parsed, receiver0, context0)
  File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 589, in handle_message_node
    call_if_fun_exists(agent, expect_fn, data=ob, context=context, timing=timing)
  File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/utils.py", line 21, in call_if_fun_exists
    f(**kwargs)
  File "solution.py", line 102, in on_received_get_commands
    pwm_left, pwm_right = self.compute_action(self.current_image)
  File "solution.py", line 84, in compute_action
    action = self.model.compute_single_action(observation, explore=False)
  File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 1132, in compute_single_action
    action, state, extra = policy.compute_single_action(
  File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/policy.py", line 243, in compute_single_action
    out = self.compute_actions_from_input_dict(
  File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/torch_policy.py", line 302, in compute_actions_from_input_dict
    return self._compute_action_helper(input_dict, state_batches,
  File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/threading.py", line 21, in wrapper
    return func(self, *a, **k)
  File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/torch_policy.py", line 366, in _compute_action_helper
    dist_inputs, state_out = self.model(input_dict, state_batches,
  File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/modelv2.py", line 243, in __call__
    res = self.forward(restored, state or [], seq_lens)
  File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/torch/visionnet.py", line 212, in forward
    conv_out = self._convs(self._features)
  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 727, in _call_impl
    result = self.forward(*input, **kwargs)
  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/container.py", line 117, in forward
    input = module(input)
  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 727, in _call_impl
    result = self.forward(*input, **kwargs)
  File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/torch/misc.py", line 118, in forward
    return self._model(x)
  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 727, in _call_impl
    result = self.forward(*input, **kwargs)
  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/container.py", line 117, in forward
    input = module(input)
  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 727, in _call_impl
    result = self.forward(*input, **kwargs)
  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/activation.py", line 102, in forward
    return F.relu(input, inplace=self.inplace)
  File "/usr/local/lib/python3.8/dist-packages/torch/nn/functional.py", line 1136, in relu
    result = torch.relu(input)
  File "/usr/local/lib/python3.8/dist-packages/ray/worker.py", line 1027, in sigterm_handler
    sys.exit(signum)
SystemExit: 15

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 287, in run_loop
    loop(my_logger, node_name, fi, fo, node, protocol, tin, tout, config=config, fi_desc=fin,
  File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 434, in loop
    raise InternalProblem(msg) from e  # XXX
zuper_nodes.structures.InternalProblem: Exception while handling a message on topic "get_commands".

| Traceback (most recent call last):
|   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 416, in loop
|     handle_message_node(parsed, receiver0, context0)
|   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 589, in handle_message_node
|     call_if_fun_exists(agent, expect_fn, data=ob, context=context, timing=timing)
|   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/utils.py", line 21, in call_if_fun_exists
|     f(**kwargs)
|   File "solution.py", line 102, in on_received_get_commands
|     pwm_left, pwm_right = self.compute_action(self.current_image)
|   File "solution.py", line 84, in compute_action
|     action = self.model.compute_single_action(observation, explore=False)
|   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 1132, in compute_single_action
|     action, state, extra = policy.compute_single_action(
|   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/policy.py", line 243, in compute_single_action
|     out = self.compute_actions_from_input_dict(
|   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/torch_policy.py", line 302, in compute_actions_from_input_dict
|     return self._compute_action_helper(input_dict, state_batches,
|   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/threading.py", line 21, in wrapper
|     return func(self, *a, **k)
|   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/torch_policy.py", line 366, in _compute_action_helper
|     dist_inputs, state_out = self.model(input_dict, state_batches,
|   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/modelv2.py", line 243, in __call__
|     res = self.forward(restored, state or [], seq_lens)
|   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/torch/visionnet.py", line 212, in forward
|     conv_out = self._convs(self._features)
|   File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 727, in _call_impl
|     result = self.forward(*input, **kwargs)
|   File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/container.py", line 117, in forward
|     input = module(input)
|   File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 727, in _call_impl
|     result = self.forward(*input, **kwargs)
|   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/torch/misc.py", line 118, in forward
|     return self._model(x)
|   File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 727, in _call_impl
|     result = self.forward(*input, **kwargs)
|   File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/container.py", line 117, in forward
|     input = module(input)
|   File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 727, in _call_impl
|     result = self.forward(*input, **kwargs)
|   File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/activation.py", line 102, in forward
|     return F.relu(input, inplace=self.inplace)
|   File "/usr/local/lib/python3.8/dist-packages/torch/nn/functional.py", line 1136, in relu
|     result = torch.relu(input)
|   File "/usr/local/lib/python3.8/dist-packages/ray/worker.py", line 1027, in sigterm_handler
|     sys.exit(signum)
| SystemExit: 15
| 

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

Traceback (most recent call last):
  File "solution.py", line 134, in <module>
    main()
  File "solution.py", line 130, in main
    wrap_direct(node=node, protocol=protocol)
  File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/interface.py", line 25, in wrap_direct
    run_loop(node, protocol, args)
  File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 301, in run_loop
    raise Exception(msg) from e
Exception: Error in node PytorchRLTemplateAgent
Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
No reset possible
12264318408ETU-JBR Teamfinalist 2021aido-LF-real-validationeval2abortedyes330:06:56
==> Entrypoint Netwo [...]
==> Entrypoint
Network configured successfully.
INFO: ROBOT_TYPE is externally set to 'duckiebot'.
<== Entrypoint
DEBUG:commons:version: 6.2.4 *
DEBUG:typing:version: 6.2.3
DEBUG:duckietown_world:duckietown-world version 6.2.38 path /usr/local/lib/python3.8/dist-packages
DEBUG:geometry:PyGeometry-z6 version 2.1.4 path /usr/local/lib/python3.8/dist-packages
DEBUG:aido_schemas:aido-protocols version 6.0.59 path /usr/local/lib/python3.8/dist-packages
DEBUG:nodes:version 6.2.13 path /usr/local/lib/python3.8/dist-packages pyparsing 2.4.6
DEBUG:gym-duckietown:gym-duckietown version 6.1.30 path /usr/local/lib/python3.8/dist-packages

DEBUG:ipce:version 6.1.1 path /usr/local/lib/python3.8/dist-packages
DEBUG:nodes_wrapper:checking implementation
DEBUG:nodes_wrapper:checking implementation OK
DEBUG:nodes_wrapper.PytorchRLTemplateAgent:run_loop
  fin: /fifos/ego0-in
 fout: fifo:/fifos/ego0-out
DEBUG:nodes_wrapper:Fifo /fifos/ego0-out created. I will block until a reader appears.
DEBUG:nodes_wrapper:Fifo reader appeared for /fifos/ego0-out.
DEBUG:nodes_wrapper.PytorchRLTemplateAgent:Starting reading
 fi_desc: /fifos/ego0-in
 fo_desc: fifo:/fifos/ego0-out
INFO:nodes_wrapper.PytorchRLTemplateAgent.data:b772c51c671d:PytorchRLTemplateAgent: torch.cuda.is_available = True AIDO_REQUIRE_GPU = None
INFO:nodes_wrapper.PytorchRLTemplateAgent.data:b772c51c671d:PytorchRLTemplateAgent: init()
INFO:nodes_wrapper.PytorchRLTemplateAgent.data:b772c51c671d:PytorchRLTemplateAgent: device 0 of 1; name = 'GeForce GTX 1080 Ti'
INFO:aido_schemas:PytorchRLTemplateAgent init
2021-12-08 23:44:04,120	WARNING deprecation.py:38 -- DeprecationWarning: `monitor` has been deprecated. Use `record_env` instead. This will raise an error in the future!
2021-12-08 23:44:04,120	WARNING ppo.py:143 -- `train_batch_size` (128) cannot be achieved with your other settings (num_workers=1 num_envs_per_worker=1 rollout_fragment_length=200)! Auto-adjusting `rollout_fragment_length` to 128.
2021-12-08 23:44:04,526	WARNING services.py:1748 -- WARNING: The object store is using /tmp instead of /dev/shm because /dev/shm has only 67096576 bytes available. This will harm performance! You may be able to free up space by deleting files in /dev/shm. If you are inside a Docker container, you can increase /dev/shm size by passing '--shm-size=10.24gb' to 'docker run' (or add it to the run_options list in a Ray cluster config). Make sure to set this to more than 30% of available RAM.
(pid=346) DEBUG:commons:version: 6.2.4 *
(pid=346) DEBUG:typing:version: 6.2.3
(pid=346) DEBUG:duckietown_world:duckietown-world version 6.2.38 path /usr/local/lib/python3.8/dist-packages
(pid=346) DEBUG:geometry:PyGeometry-z6 version 2.1.4 path /usr/local/lib/python3.8/dist-packages
(pid=346) DEBUG:aido_schemas:aido-protocols version 6.0.59 path /usr/local/lib/python3.8/dist-packages
(pid=346) DEBUG:nodes:version 6.2.13 path /usr/local/lib/python3.8/dist-packages pyparsing 2.4.6
(pid=346) DEBUG:gym-duckietown:gym-duckietown version 6.1.30 path /usr/local/lib/python3.8/dist-packages
(pid=346)
(pid=346) WARNING:wrappers.general_wrappers:Dummy Duckietown Gym reset() called!
(pid=346) 2021-12-08 23:44:13,357	WARNING deprecation.py:38 -- DeprecationWarning: `SampleBatch['is_training']` has been deprecated. Use `SampleBatch.is_training` instead. This will raise an error in the future!
2021-12-08 23:44:16,110	WARNING deprecation.py:38 -- DeprecationWarning: `SampleBatch['is_training']` has been deprecated. Use `SampleBatch.is_training` instead. This will raise an error in the future!
2021-12-08 23:44:16,148	WARNING trainer_template.py:185 -- `execution_plan` functions should accept `trainer`, `workers`, and `config` as args!
2021-12-08 23:44:16,150	WARNING deprecation.py:38 -- DeprecationWarning: `monitor` has been deprecated. Use `record_env` instead. This will raise an error in the future!
2021-12-08 23:44:16,150	WARNING deprecation.py:38 -- DeprecationWarning: `simple_optimizer` has been deprecated. This will raise an error in the future!
WARNING:wrappers.general_wrappers:Dummy Duckietown Gym reset() called!
/usr/local/lib/python3.8/dist-packages/gym/wrappers/monitor.py:86: UserWarning: WARN: Trying to monitor an environment which has no 'spec' set. This usually means you did not create it via 'gym.make', and is recommended only for advanced users.
  logger.warn(
2021-12-08 23:44:16,260	INFO trainable.py:110 -- Trainable.setup took 12.141 seconds. If your trainable is slow to initialize, consider setting reuse_actors=True to reduce actor creation overheads.
2021-12-08 23:44:16,261	WARNING util.py:57 -- Install gputil for GPU system monitoring.
2021-12-08 23:44:16,317	INFO trainable.py:416 -- Restored on 172.17.0.3 from checkpoint: ./tf_models/checkpoint-391
2021-12-08 23:44:16,317	INFO trainable.py:424 -- Current state after restoring: {'_iteration': 391, '_timesteps_total': 0, '_time_total': 23444.33237552643, '_episodes_total': 2069}
INFO:aido_schemas:PytorchRLTemplateAgent init complete
INFO:nodes_wrapper.PytorchRLTemplateAgent.data:b772c51c671d:PytorchRLTemplateAgent: Starting episode "episode".
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*** SIGTERM received at time=1639007105 on cpu 22 ***
PC: @           0x5024e2  (unknown)  PyCode_Addr2Line
    @     0x7f59cfc0f210  903003408  (unknown)
    @           0x8ff0c0  (unknown)  (unknown)
[2021-12-08 23:45:05,054 E 1 1] logging.cc:313: *** SIGTERM received at time=1639007105 on cpu 22 ***
[2021-12-08 23:45:05,054 E 1 1] logging.cc:313: PC: @           0x5024e2  (unknown)  PyCode_Addr2Line
[2021-12-08 23:45:05,057 E 1 1] logging.cc:313:     @     0x7f59cfc0f210  903003408  (unknown)
[2021-12-08 23:45:05,060 E 1 1] logging.cc:313:     @           0x8ff0c0  (unknown)  (unknown)
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