Duckietown Challenges Home Challenges Submissions

Evaluator 1277

ID1277
evaluatorduckietown3-22589
ownerAmaury Camus 🇨🇭
machineduckietown3
processduckietown3-22589
versiond-c:4.0.30;d-c-r:4.0.44;d-s:4.0.22
first heard
last heard
statusinactive
# evaluating
# success
# timeout
# failed
# error
# aborted
# host-error1 23153
arm
x86_64
Mac
gpu available
Number of processors
Processor frequency (MHz)
Free % of processors
RAM total (MB)
RAM free (MB)
Disk (MB)
Disk available (MB)
Docker Hub
P1
P2
Cloud simulations
PI Camera
# Duckiebots
Map 3x3 avaiable
Number of duckies
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 loop
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
231533547Julian ZillyBaseline-IL-logs-tensorflowaido2-LF-real-validationeval1host-erroryesduckietown3-225890:00:04
Could not access IPF [...]
Could not access IPFS data:
Traceback (most recent call last):
  File "/project/src/duckietown_challenges_runner/runner.py", line 541, in get_cr
    allow_host_network=allow_host_network, use_ipfs=use_ipfs)
  File "/project/src/duckietown_challenges_runner/runner.py", line 605, in run_single
    prepare_dir(wd, aws_config, steps2artefacts, use_ipfs=use_ipfs)
  File "/project/src/duckietown_challenges_runner/runner.py", line 877, in prepare_dir
    download_artefacts(aws_config, steps2artefacts, previous_steps_dir, use_ipfs=use_ipfs)
  File "/project/src/duckietown_challenges_runner/runner.py", line 1176, in download_artefacts
    raise IPFSException(msg)
duckietown_challenges_runner.runner.IPFSException: Need IPFS for this submission
Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
No reset possible