AttributeError: 'CoinRunVecEnv' object has no attribute 'spec'
yuan1202 opened this issue · 4 comments
Hi openai team
I am trying to setup the coinrun.
I have followed the installation instructions in the readme.md and had no problem.
However when i try to run training, e.g.
python -m coinrun.train_agent --run-id myrun --num-levels 500
i get the this error:
AttributeError: 'CoinRunVecEnv' object has no attribute 'spec'
==========================================================
Logging to /tmp/openai-2019-05-02-15-39-56-889062
make: Entering directory '/home/yuanl/workspace/coinrun/coinrun'
make: Nothing to be done for 'all'.
make: Leaving directory '/home/yuanl/workspace/coinrun/coinrun'
libpng warning: iCCP: known incorrect sRGB profile
libpng warning: iCCP: known incorrect sRGB profile
libpng warning: iCCP: known incorrect sRGB profile
libpng warning: iCCP: known incorrect sRGB profile
2019-05-02 15:40:00.281504: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
2019-05-02 15:40:00.293015: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 3192000000 Hz
2019-05-02 15:40:00.295117: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x7fffd83b4fb0 executing computations on platform Host. Devices:
2019-05-02 15:40:00.295164: I tensorflow/compiler/xla/service/service.cc:158] StreamExecutor device (0): ,
OMP: Info #212: KMP_AFFINITY: decoding x2APIC ids.
OMP: Info #213: KMP_AFFINITY: x2APIC ids not unique - decoding legacy APIC ids.
OMP: Info #232: KMP_AFFINITY: legacy APIC ids not unique - parsing /proc/cpuinfo.
OMP: Info #148: KMP_AFFINITY: Affinity capable, using cpuinfo file
OMP: Info #154: KMP_AFFINITY: Initial OS proc set respected: 0-11
OMP: Info #156: KMP_AFFINITY: 12 available OS procs
OMP: Info #157: KMP_AFFINITY: Uniform topology
OMP: Info #179: KMP_AFFINITY: 1 packages x 6 cores/pkg x 2 threads/core (6 total cores)
OMP: Info #214: KMP_AFFINITY: OS proc to physical thread map:
OMP: Info #171: KMP_AFFINITY: OS proc 0 maps to package 0 core 0 thread 0
OMP: Info #171: KMP_AFFINITY: OS proc 1 maps to package 0 core 0 thread 1
OMP: Info #171: KMP_AFFINITY: OS proc 2 maps to package 0 core 1 thread 0
OMP: Info #171: KMP_AFFINITY: OS proc 3 maps to package 0 core 1 thread 1
OMP: Info #171: KMP_AFFINITY: OS proc 4 maps to package 0 core 2 thread 0
OMP: Info #171: KMP_AFFINITY: OS proc 5 maps to package 0 core 2 thread 1
OMP: Info #171: KMP_AFFINITY: OS proc 6 maps to package 0 core 3 thread 0
OMP: Info #171: KMP_AFFINITY: OS proc 7 maps to package 0 core 3 thread 1
OMP: Info #171: KMP_AFFINITY: OS proc 8 maps to package 0 core 4 thread 0
OMP: Info #171: KMP_AFFINITY: OS proc 9 maps to package 0 core 4 thread 1
OMP: Info #171: KMP_AFFINITY: OS proc 10 maps to package 0 core 5 thread 0
OMP: Info #171: KMP_AFFINITY: OS proc 11 maps to package 0 core 5 thread 1
OMP: Info #250: KMP_AFFINITY: pid 172 tid 172 thread 0 bound to OS proc set 0
2019-05-02 15:40:00.296139: I tensorflow/core/common_runtime/process_util.cc:71] Creating new thread pool with default inter op setting: 2. Tune using inter_op_parallelism_threads for best performance.
Traceback (most recent call last):
File "/home/yuanl/anaconda3/envs/ML/lib/python3.6/runpy.py", line 193, in _run_module_as_main
"main", mod_spec)
File "/home/yuanl/anaconda3/envs/ML/lib/python3.6/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/home/yuanl/workspace/coinrun/coinrun/train_agent.py", line 53, in
main()
File "/home/yuanl/workspace/coinrun/coinrun/train_agent.py", line 34, in main
env = wrappers.add_final_wrappers(env)
File "/home/yuanl/workspace/coinrun/coinrun/wrappers.py", line 99, in add_final_wrappers
env = EpisodeRewardWrapper(env)
File "/home/yuanl/workspace/coinrun/coinrun/wrappers.py", line 30, in init
super(EpisodeRewardWrapper, self).init(env)
File "/home/yuanl/anaconda3/envs/ML/lib/python3.6/site-packages/gym/core.py", line 217, in init
self.spec = self.env.spec
AttributeError: 'CoinRunVecEnv' object has no attribute 'spec'
hi,
while u wait for any of the contributors to reply, u can try gym==0.10.0. I am pretty sure the problem is due to the version of the library.
I had the same issue and switching to gym==0.10.0 worked for me.
Should requirements.txt use a more restrictive gym version? https://github.com/openai/coinrun/blob/master/requirements.txt#L2
Maybe it should be gym==0.10.0
Fixed on master