-
Notifications
You must be signed in to change notification settings - Fork 134
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Error running visual lizer_rllib.py #156
Comments
Hi, sorry for the delay! I honestly have no idea what's happening here, I'd recommend reposting in the rllib github issues page. |
Thank you very much for your reply. Now I've got the environment, but to be honest, I'm a beginner. I really don't know how to run this code. This error occurred when I ran visual lizer_rllib.py But I really don't know where to look for these parameter inputs. |
Several errors occurred while running train_baseline, similar to: Use FIFO scheduling algorithm. Resources requested: 0.0/2 CPUs, 0/1 GPUs Memory usage on this node: 6.0/8.2 GB Result logdir: / home/liu/ray_results/cleanup_A3C Number of trials: 1 ({'ERROR': 1}) ERROR trials:
Traceback (most recent call last): File "train_baseline.py", line 180, in Tf. app. run (main) File "/ home/liu/anaconda3/envs/causal_2/lib/python 3.6/site-packages/tensorflow/python/platform/app.py", line 125, in run _ sys. exit (main (argv)) File "train_baseline.py", line 174, in main "Config": config, File "/ home/liu/anaconda3/envs/causal_2/lib/python 3.6/site-packages/ray/tune/tune.py", line 189, in run_experiments Raise TuneError ("Trials did not complete", errored_trials) Ray. tune. error. TuneError: ('Trials did not complete', [A3C_cleanup_env_0]) Can you help me solve this problem if you can? |
Hello, tensorflow-gpu==1.12.0 in the requirements.txt file |
Hi, two questions:
|
Hello, I'd like to ask how I can use ~/ray_results/folder. |
Hello, I am very interested in your article, but I encountered the following errors in code execution. I hope I can get your guidance.
Errors occurred:
OMP: Info#212: KMP_AFFINITY: decoding x 2 APIC ids.
OMP: Info#210: KMP_AFFINITY: Affinity capable, using global CPUID leaf 11 info
OMP: Info #154: KMP_AFFINITY: Initial OS proc set respected: 0-7
OMP: Info #156: KMP_AFFINITY: 8 available OS procs
OMP: Info #157: KMP_AFFINITY: Uniform topology
OMP: Info #179: KMP_AFFINITY: 1 packages x 4 cores/pkg x 2 threads/core (4 total cores)
OMP: Info #214: KMP_AFFINITY: OS proc to physical thread map:
OMP: Info_1: KMP_AFFINITY: OS proc 0 maps to package 0 core 0 thread 0
OMP: Info_1: KMP_AFFINITY: OS proc 4 maps to package 0 core 0 thread 1
OMP: Info_1: KMP_AFFINITY: OS proc 1 maps to package 0 core 1 thread 0
OMP: Info_1: KMP_AFFINITY: OS proc 5 maps to package 0 core 1 thread 1
OMP: Info_1: KMP_AFFINITY: OS proc 2 maps to package 0 core 2 thread 0
OMP: Info_1: KMP_AFFINITY: OS proc 6 maps to package 0 core 2 thread 1
OMP: Info_1: KMP_AFFINITY: OS proc 3 maps to package 0 core 3 thread 0
OMP: Info_1: KMP_AFFINITY: OS proc 7 maps to package 0 core 3 thread 1
OMP: Info_: KMP_AFFINITY: PID 16827 TID 16827 thread 0 bound to OS proc set 0
Meanwhile ImportError: cannot import name'try_import_tf'from'ray.rllib.utils'
The text was updated successfully, but these errors were encountered: