Comments (3)
I think you may put command like
sh start.sh
But I consider that you have to command like
nohup sh start.sh
Thank you.
from impala-distributed-tensorflow.
Hello! I also ran into this problem. I ran the code for 24 hours on a gpu server and output = CreateSession still waiting for response from worker: /job:actor/replica:0/task:17... etc. was present the whole time. Does anyone know how to fix this? Thanks for the kind help!
from impala-distributed-tensorflow.
I think you maybe not running 17th actor task.
Rerun the 17th task by command
python trainer_invader.py --num_actors=32 --task=17 --batch_size=32 --queue_size=128 --trajectory=20 --learning_frame=1000000000 --start_learning=0.0006 --end_learning=0.0 --discount_factor=0.99 --entropy_coef=0.05 --baseline_loss_coef=1.0 --gradient_clip_norm=40.0 --job_name=actor --reward_clipping=abs_one --lstm_size=256 &
from impala-distributed-tensorflow.
Related Issues (2)
- Single Machine execution HOT 1
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