
Reinforcement learning environments with musculoskeletal models
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Posted by SDU_VSISLab over 1 year ago | Quote
hello, the image I pulled is 4.835 GB ,I commit it and now it is 5.606GB who is large than 5GB, I tried to reduce it but failed…so can I submit my submission with a little bigger….
Posted by Yongjin over 1 year ago | Quote
Does the constraint of ‘maximum memory of 5GB’ imply that the size of our DNN model should be smaller than 5GB?
Posted by spMohanty over 1 year ago | Quote
Hi @SDU_VSISLab,
The requirement mentioned is for the memory(RAM) used at runtime by your submitted docker container. There are no constraints on the size of the actual docker container at the moment. (But thats with the hope that participants do not abuse it. If we notice participants abusing the absence of a size limit on the actual tar dump, we will have to enforce an upper bound on the container size. But that will also be of the order of ~10gb, so feel free to submit your model.
Cheers,
Mohanty
Hi everyone,
Here is a link to a screencast explaining the submission procedure for round2 : https://www.youtube.com/watch?v=2e495B8kmUk&feature=youtu.be.
Some more updates about rules for round2 are :
N=10
simulations.N=20
and the new scores will be used as a tie breaker.N > 10
, the timeout will be proportionally increased.Best of Luck,
Mohanty