Open liuxgff opened 5 years ago
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. If so, I wonder if you can direct me to run the steps in detail, or what part of the code I need to add. Thank you so much.
This error occurred when I ran visual lizer_rllib.py Usage: visual lizer_rllib.py [- h] [- run RUN] [- num-rollouts NUM_ROLLOUTS] [--save-video] [--render] result_dir checkpoint_num Vislizer_rllib.py: error: the following arguments are required: result_dir, checkpoint_num
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? Thank you very much.
Hello, tensorflow-gpu==1.12.0 in the requirements.txt file I would like to ask if tensorflow can choose cup version.
Hi, two questions:
Hello,thank you very much for your reply.
My question is this: I run "train_baseline.py" to get the result in the pictures, but I don't know how to use it.
Besides, I'm sorry, this is my spelling mistake. That's "cpu version" not "cup version".
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'