DAI2020 SMARTS Competition Track 2: Multi-Agent Collaboration Forum

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> A possible error

Hi,

In my local, I test the agent.py and it can construct the agent specs successfully. However, in the online system, it reports an error on it.

WARNING: Your kernel does not support swap limit capabilities or the cgroup is not mounted. Memory limited without swap.

X.Org X Server 1.19.6
Release Date: 2017-12-20
X Protocol Version 11, Revision 0
Build Operating System: Linux 4.4.0-168-generic x86_64 Ubuntu
Current Operating System: Linux dbe6a3258af2 4.15.0-91-generic #92-Ubuntu SMP Fri Feb 28 11:09:48 UTC 2020 x86_64
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
xorg-server 2:1.19.6-1ubuntu4.4 (For technical support please see http://www.ubuntu.com/support)
Current version of pixman: 0.34.0
Before reporting problems, check http://wiki.x.org
to make sure that you have the latest version.
Markers: (--) probed, (**) from config file, (==) default setting,
(++) from command line, (!!) notice, (II) informational,
(WW) warning, (EE) error, (NI) not implemented, (??) unknown.
(++) Log file: "./xdummy.log", Time: Sun Aug 23 13:39:43 2020
(++) Using config file: "/etc/X11/xorg.conf"
(==) Using system config directory "/usr/share/X11/xorg.conf.d"
INFO:/tmp/codalab/tmp7DqBBD/run/program/evaluate.py:root_path=[metadata, evaluate.py, envision, smarts, cli, .DS_Store]
INFO:/tmp/codalab/tmp7DqBBD/run/program/evaluate.py:input_dir=[history, ref, metadata, tmpQigq9U.txt, tmpzWXzGu.zip, tmpHMDOVA.zip, coopetition, tmp4vQwzL.zip, scores, tmpzIoZzW.txt, res]
INFO:/tmp/codalab/tmp7DqBBD/run/program/evaluate.py:output_dir=[metadata]
INFO:/tmp/codalab/tmp7DqBBD/run/program/evaluate.py:submission_dir=[agent.py, metadata, checkpoint, __pycache__, rllib_agent_config.py, networks.py, utils]
INFO:/tmp/codalab/tmp7DqBBD/run/program/evaluate.py:eval_scenarios_dir=[crossroads, roundabout, double_merge, ramp, t_junction]
INFO:/tmp/codalab/tmp7DqBBD/run/program/evaluate.py:scores_dir=[metadata]
INFO:/tmp/codalab/tmp7DqBBD/run/program/evaluate.py:submission_dir=/tmp/codalab/tmp7DqBBD/run/input/res, eval_scenarios_dir=/tmp/codalab/tmp7DqBBD/run/input/ref/dataset_evaluation, scores_dir=/tmp/codalab/tmp7DqBBD/run/output
2020-08-23 13:39:46,878 INFO catalog.py:308 -- Wrapping as
2020-08-23 13:39:47,062 INFO catalog.py:308 -- Wrapping as
2020-08-23 13:39:48,483 INFO catalog.py:308 -- Wrapping as
2020-08-23 13:39:49,094 INFO catalog.py:308 -- Wrapping as
Traceback (most recent call last):
File "/tmp/codalab/tmp7DqBBD/run/program/evaluate.py", line 319, in
agent_specs = load_agent_submission(submission_dir)
File "/tmp/codalab/tmp7DqBBD/run/program/evaluate.py", line 84, in load_agent_submission
import agent as agent_submission
File "/tmp/codalab/tmp7DqBBD/run/input/res/agent.py", line 155, in
config.spec["act"],
File "/tmp/codalab/tmp7DqBBD/run/input/res/agent.py", line 130, in __init__
self._policy_mapping[name].set_weights(weights)
File "/tmp/codalab/tmp7DqBBD/run/input/res/agent.py", line 46, in set_weights
self._policy.set_weights(weights)
File "/usr/local/lib/python3.7/dist-packages/ray/rllib/policy/tf_policy.py", line 374, in set_weights
return self._variables.set_weights(weights)
File "/usr/local/lib/python3.7/dist-packages/ray/experimental/tf_utils.py", line 182, in set_weights
assert assign_list, ("No variables in the input matched those in the "
AssertionError: No variables in the input matched those in the network. Possible cause: Two networks were defined in the same TensorFlow graph. To fix this, place each network definition in its own tf.Graph.

Posted by: Team170 @ Aug. 23, 2020, 1:43 p.m.

ok, we are going to download your submission to track this error.

Posted by: DAI2020 @ Aug. 26, 2020, 2:42 a.m.
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