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Published 20 hours ago • verified publisher icon avisingh599

Docker Installation

Open NasimShafiee opened this issue 5 years ago • 14 comments

Hi,

The docker installation is not complete or the docker is not working. I would appreciate you put the complete installation here.

Thanks,

NasimShafiee avatar May 17 '19 23:05 NasimShafiee

Could you tell me what steps you followed and what errors you ran into when attempting the docker installation? Do you have nvidia-docker and docker-compose installed and setup on your machine?

avisingh599 avatar May 23 '19 17:05 avisingh599

I have both of them installed. Here are the steps I followed to both install and run the docker:

nasimshafiee@riverlab-asi:~$ export MJKEY="$(cat ~/.mujoco/mjkey.txt)" && sudo docker-compose -f reward-learning-rl/docker/docker-compose.dev.cpu.yml up -d --force-recreate Recreating softlearning-dev-cpu ... done

sudo docker container list CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES ba72506cc7d9 softlearning:latest-cpu "/usr/bin/tini -- /e…" About a minute ago Up About a minute 0.0.0.0:32773->5000/tcp, 0.0.0.0:32772->6006/tcp, 0.0.0.0:32771->8888/tcp softlearning-dev-cpu

nasimshafiee@riverlab-asi:~$ sudo docker exec -it softlearning-dev-cpu bash (softlearning) root@ba72506cc7d9:~/softlearning#

(softlearning) root@ba72506cc7d9:~/softlearning# softlearning run_example_local examples.classifier_rl \

--n_goal_examples 10
--task=Image48SawyerDoorPullHookEnv-v0
--algorithm VICERAQ
--num-samples 5
--n_epochs 300
--active_query_frequency 10 bash: softlearning: command not found

NasimShafiee avatar May 23 '19 20:05 NasimShafiee

Could you try pip install -e . and then try running the same command again?

avisingh599 avatar May 24 '19 04:05 avisingh599

pip install -e . Obtaining file:///root/softlearning Installing collected packages: softlearning Found existing installation: softlearning 0.0.1 Uninstalling softlearning-0.0.1: Successfully uninstalled softlearning-0.0.1 Running setup.py develop for softlearning Successfully installed softlearning (softlearning) root@ba72506cc7d9:~/softlearning# softlearning run_example_local examples.classifier_rl --n_goal_examples 10 --task=Image48SawyerDoorPullHookEnv-v0 --algorithm VICERAQ --num-samples 5 --n_epochs 300 --active_query_frequency 10 /opt/conda/envs/softlearning/lib/python3.6/site-packages/requests/init.py:91: RequestsDependencyWarning: urllib3 (1.25.1) or chardet (3.0.4) doesn't match a supported version! RequestsDependencyWarning)

WARNING: The TensorFlow contrib module will not be included in TensorFlow 2.0. For more information, please see:

  • https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md
  • https://github.com/tensorflow/addons If you depend on functionality not listed there, please file an issue.

Traceback (most recent call last): File "/opt/conda/envs/softlearning/bin/softlearning", line 11, in load_entry_point('softlearning', 'console_scripts', 'softlearning')() File "/root/softlearning/softlearning/scripts/console_scripts.py", line 202, in main return cli() File "/opt/conda/envs/softlearning/lib/python3.6/site-packages/click/core.py", line 764, in call return self.main(*args, **kwargs) File "/opt/conda/envs/softlearning/lib/python3.6/site-packages/click/core.py", line 717, in main rv = self.invoke(ctx) File "/opt/conda/envs/softlearning/lib/python3.6/site-packages/click/core.py", line 1137, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "/opt/conda/envs/softlearning/lib/python3.6/site-packages/click/core.py", line 956, in invoke return ctx.invoke(self.callback, **ctx.params) File "/opt/conda/envs/softlearning/lib/python3.6/site-packages/click/core.py", line 555, in invoke return callback(*args, **kwargs) File "/root/softlearning/softlearning/scripts/console_scripts.py", line 71, in run_example_local_cmd return run_example_local(example_module_name, example_argv) File "/root/softlearning/examples/instrument.py", line 208, in run_example_local example_args = example_module.get_parser().parse_args(example_argv) File "/root/softlearning/examples/classifier_rl/init.py", line 26, in get_parser from .utils import get_parser File "/root/softlearning/examples/classifier_rl/utils.py", line 8, in import softlearning.environments.utils as env_utils File "/root/softlearning/softlearning/environments/utils.py", line 8, in from .adapters.dm_control_adapter import DmControlAdapter File "/root/softlearning/softlearning/environments/adapters/dm_control_adapter.py", line 6, in from dm_control import suite File "/opt/conda/envs/softlearning/lib/python3.6/site-packages/dm_control/suite/init.py", line 28, in from dm_control.suite import acrobot File "/opt/conda/envs/softlearning/lib/python3.6/site-packages/dm_control/suite/acrobot.py", line 24, in from dm_control import mujoco File "/opt/conda/envs/softlearning/lib/python3.6/site-packages/dm_control/mujoco/init.py", line 18, in from dm_control.mujoco.engine import action_spec File "/opt/conda/envs/softlearning/lib/python3.6/site-packages/dm_control/mujoco/engine.py", line 43, in from dm_control import _render File "/opt/conda/envs/softlearning/lib/python3.6/site-packages/dm_control/_render/init.py", line 70, in Renderer = import_func() File "/opt/conda/envs/softlearning/lib/python3.6/site-packages/dm_control/_render/init.py", line 35, in _import_egl from dm_control._render.pyopengl.egl_renderer import EGLContext File "/opt/conda/envs/softlearning/lib/python3.6/site-packages/dm_control/_render/pyopengl/egl_renderer.py", line 43, in from dm_control._render.pyopengl import egl_ext as EGL File "/opt/conda/envs/softlearning/lib/python3.6/site-packages/dm_control/_render/pyopengl/egl_ext.py", line 33, in from OpenGL import EGL File "/opt/conda/envs/softlearning/lib/python3.6/site-packages/OpenGL/EGL/init.py", line 2, in from OpenGL.raw.EGL._types import * File "/opt/conda/envs/softlearning/lib/python3.6/site-packages/OpenGL/raw/EGL/_types.py", line 73, in CALLBACK_TYPE = _p.PLATFORM.functionTypeFor( _p.PLATFORM.EGL ) AttributeError: 'GLXPlatform' object has no attribute 'EGL'

NasimShafiee avatar May 24 '19 16:05 NasimShafiee

Interesting. Looks like dm_control is causing problems, but I don't see these on my end. @hartikainen any idea what might be going on?

avisingh599 avatar May 24 '19 18:05 avisingh599

Unfortunately, I don't know exactly what's causing the dm_control import to fail. The latest softlearning has a fix that makes the dm_control and robosuite packages optional: https://github.com/rail-berkeley/softlearning/blob/1f6686d765052c874dcf28f8036acde742decd79/softlearning/environments/utils.py#L7.

hartikainen avatar May 24 '19 18:05 hartikainen

Hi, I faced problem using Docker Installation. I will be appreciated if you can help me with that. Here is my log:

(softlearning) root@fdcf41e30e0c:~/softlearning# softlearning run_example_local examples.classifier_rl --n_goal_examples 10 --task=Image48SawyerDoorPullHookEnv-v0 --algorithm VICERAQ --num-samples 5 --n_epochs 300 --active_query_frequency 10 /opt/conda/envs/softlearning/lib/python3.6/site-packages/requests/init.py:91: RequestsDependencyWarning: urllib3 (1.25.1) or chardet (3.0.4) doesn't match a supported version! RequestsDependencyWarning)

WARNING: The TensorFlow contrib module will not be included in TensorFlow 2.0. For more information, please see:

  • https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md
  • https://github.com/tensorflow/addons If you depend on functionality not listed there, please file an issue.

WARNING: Logging before flag parsing goes to stderr. I0524 16:18:57.085572 139928440866624 acceleratesupport.py:13] OpenGL_accelerate module loaded I0524 16:18:57.091506 139928440866624 arraydatatype.py:270] Using accelerated ArrayDatatype I0524 16:18:57.219949 139928440866624 init.py:34] MuJoCo library version is: 200 I0524 16:18:58.361702 139928440866624 init.py:333] Registering multiworld mujoco gym environments I0524 16:18:58.415774 139928440866624 init.py:14] Registering goal example multiworld mujoco gym environments 2019-05-24 16:18:58,483 INFO node.py:469 -- Process STDOUT and STDERR is being redirected to /tmp/ray/session_2019-05-24_16-18-58_657/logs. 2019-05-24 16:18:58,592 INFO services.py:407 -- Waiting for redis server at 127.0.0.1:27938 to respond... 2019-05-24 16:18:58,717 INFO services.py:407 -- Waiting for redis server at 127.0.0.1:27410 to respond... 2019-05-24 16:18:58,720 INFO services.py:804 -- Starting Redis shard with 1.65 GB max memory.

====================================================================== View the dashboard at http://172.18.0.2:8080/?token=94f192e32354ed6911bacd705f2ed3d4f494466516bddbdb

2019-05-24 16:18:58,839 INFO node.py:483 -- Process STDOUT and STDERR is being redirected to /tmp/ray/session_2019-05-24_16-18-58_657/logs. 2019-05-24 16:18:58,839 WARNING services.py:1304 -- WARNING: The object store is using /tmp instead of /dev/shm because /dev/shm has only 67108864 bytes available. This may slow down performance! You may be able to free up space by deleting files in /dev/shm or terminating any running plasma_store_server processes. If you are inside a Docker container, you may need to pass an argument with the flag '--shm-size' to 'docker run'. 2019-05-24 16:18:58,839 INFO services.py:1427 -- Starting the Plasma object store with 2.48 GB memory using /tmp. 2019-05-24 16:18:58,996 INFO tune.py:64 -- Did not find checkpoint file in /root/ray_results/multiworld/mujoco/Image48SawyerDoorPullHookEnv-v0/2019-05-24T16-18-58-2019-05-24T16-18-58. 2019-05-24 16:18:58,996 INFO tune.py:211 -- Starting a new experiment. == Status == Using FIFO scheduling algorithm. Resources requested: 0/8 CPUs, 0/0 GPUs Memory usage on this node: 5.6/8.3 GB

== Status == Using FIFO scheduling algorithm. Resources requested: 8/8 CPUs, 0/0 GPUs Memory usage on this node: 5.6/8.3 GB Result logdir: /root/ray_results/multiworld/mujoco/Image48SawyerDoorPullHookEnv-v0/2019-05-24T16-18-58-2019-05-24T16-18-58 Number of trials: 5 ({'RUNNING': 1, 'PENDING': 4}) PENDING trials:

  • 5933374b-algorithm=VICERAQ-seed=9594: PENDING
  • 97f1498b-algorithm=VICERAQ-seed=6933: PENDING
  • af9f5ddb-algorithm=VICERAQ-seed=2833: PENDING
  • b4794683-algorithm=VICERAQ-seed=2191: PENDING RUNNING trials:
  • 79f20978-algorithm=VICERAQ-seed=3699: RUNNING

(pid=729) /opt/conda/envs/softlearning/lib/python3.6/site-packages/requests/init.py:91: RequestsDependencyWarning: urllib3 (1.25.1) or chardet (3.0.4) doesn't match a supported version! (pid=729) RequestsDependencyWarning) (pid=729) (pid=729) WARNING: The TensorFlow contrib module will not be included in TensorFlow 2.0. (pid=729) For more information, please see: (pid=729) * https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md (pid=729) * https://github.com/tensorflow/addons (pid=729) If you depend on functionality not listed there, please file an issue. (pid=729) (pid=729) 2019-05-24 16:19:02.423031: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA (pid=729) Using seed 3699 (pid=729) 2019-05-24 16:19:02.449192: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 3392375000 Hz (pid=729) 2019-05-24 16:19:02.449746: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x563b744be830 executing computations on platform Host. Devices: (pid=729) 2019-05-24 16:19:02.449773: I tensorflow/compiler/xla/service/service.cc:158] StreamExecutor device (0): ,

(pid=729) ERROR: GLEW initalization error: Missing GL version (pid=729) (pid=729) Press Enter to exit ... 2019-05-24 16:37:11,180 ERROR worker.py:1672 -- A worker died or was killed while executing task 000000009edd923385c29d9598c6c72491af0aac. 2019-05-24 16:37:11,180 ERROR trial_runner.py:494 -- Error processing event. Traceback (most recent call last): File "/opt/conda/envs/softlearning/lib/python3.6/site-packages/ray/tune/trial_runner.py", line 443, in _process_trial result = self.trial_executor.fetch_result(trial) File "/opt/conda/envs/softlearning/lib/python3.6/site-packages/ray/tune/ray_trial_executor.py", line 315, in fetch_result result = ray.get(trial_future[0]) File "/opt/conda/envs/softlearning/lib/python3.6/site-packages/ray/worker.py", line 2193, in get raise value ray.exceptions.RayActorError: The actor died unexpectedly before finishing this task. 2019-05-24 16:37:11,181 INFO ray_trial_executor.py:179 -- Destroying actor for trial 79f20978-algorithm=VICERAQ-seed=3699. If your trainable is slow to initialize, consider setting reuse_actors=True to reduce actor creation overheads. == Status == Using FIFO scheduling algorithm. Resources requested: 0/8 CPUs, 0/0 GPUs Memory usage on this node: 5.9/8.3 GB Result logdir: /root/ray_results/multiworld/mujoco/Image48SawyerDoorPullHookEnv-v0/2019-05-24T16-18-58-2019-05-24T16-18-58 Number of trials: 5 ({'ERROR': 1, 'PENDING': 4}) ERROR trials:

  • 79f20978-algorithm=VICERAQ-seed=3699: ERROR, 1 failures: /root/ray_results/multiworld/mujoco/Image48SawyerDoorPullHookEnv-v0/2019-05-24T16-18-58-2019-05-24T16-18-58/79f20978-algorithm=VICERAQ-seed=3699_2019-05-24_16-18-593ri44dsa/error_2019-05-24_16-37-11.txt PENDING trials:
  • 5933374b-algorithm=VICERAQ-seed=9594: PENDING
  • 97f1498b-algorithm=VICERAQ-seed=6933: PENDING
  • af9f5ddb-algorithm=VICERAQ-seed=2833: PENDING
  • b4794683-algorithm=VICERAQ-seed=2191: PENDING

(pid=823) /opt/conda/envs/softlearning/lib/python3.6/site-packages/requests/init.py:91: RequestsDependencyWarning: urllib3 (1.25.1) or chardet (3.0.4) doesn't match a supported version! (pid=823) RequestsDependencyWarning) (pid=823) (pid=823) WARNING: The TensorFlow contrib module will not be included in TensorFlow 2.0. (pid=823) For more information, please see: (pid=823) * https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md (pid=823) * https://github.com/tensorflow/addons (pid=823) If you depend on functionality not listed there, please file an issue. (pid=823) (pid=823) 2019-05-24 16:37:14.102711: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA (pid=823) Using seed 9594 (pid=823) 2019-05-24 16:37:14.125247: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 3392375000 Hz (pid=823) 2019-05-24 16:37:14.125840: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x55dff0c2fa80 executing computations on platform Host. Devices: (pid=823) 2019-05-24 16:37:14.125871: I tensorflow/compiler/xla/service/service.cc:158] StreamExecutor device (0): ,

Mehrdad-Dorostian avatar May 24 '19 23:05 Mehrdad-Dorostian

@Mehrdad-Dorostian This error is a bit hard to interpret because of all the ray messages. Could you try running softlearning run_example_debug examples.classifier_rl --n_goal_examples 10 --task=Image48SawyerDoorPullHookEnv-v0 --algorithm VICERAQ --n_epochs 300 --active_query_frequency 10 and post the output here?

avisingh599 avatar May 26 '19 21:05 avisingh599

I have the same issue when I'm running run_example_debug command:

softlearning run_example_debug examples.classifier_rl --n_goal_examples 10 --task=Image48SawyerDoorPullHookEnv-v0 --algorithm VICERAQ --n_epochs 300 --active_query_frequency 10

/opt/conda/envs/softlearning/lib/python3.6/site-packages/requests/init.py:91: RequestsDependencyWarning: urllib3 (1.25.1) or chardet (3.0.4) doesn't match a supported version! RequestsDependencyWarning)

WARNING: The TensorFlow contrib module will not be included in TensorFlow 2.0. For more information, please see:

  • https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md
  • https://github.com/tensorflow/addons If you depend on functionality not listed there, please file an issue.

WARNING: Logging before flag parsing goes to stderr. I0528 19:15:46.675933 139764420859712 acceleratesupport.py:13] OpenGL_accelerate module loaded I0528 19:15:46.681612 139764420859712 arraydatatype.py:270] Using accelerated ArrayDatatype I0528 19:15:46.935050 139764420859712 init.py:34] MuJoCo library version is: 200

I0528 19:15:48.273273 139764420859712 init.py:333] Registering multiworld mujoco gym environments I0528 19:15:48.326326 139764420859712 init.py:14] Registering goal example multiworld mujoco gym environments 2019-05-28 19:15:48,394 INFO tune.py:64 -- Did not find checkpoint file in /root/ray_results/multiworld/mujoco/Image48SawyerDoorPullHookEnv-v0/2019-05-28T19-15-48-2019-05-28T19-15-48. 2019-05-28 19:15:48,394 INFO tune.py:211 -- Starting a new experiment. == Status == Using FIFO scheduling algorithm. Resources requested: 0/8 CPUs, 0/1 GPUs Memory usage on this node: 10.6/33.6 GB

Using seed 2866 2019-05-28 19:15:48.405032: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2019-05-28 19:15:48.428803: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2904000000 Hz 2019-05-28 19:15:48.429511: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x5627fe6bb0c0 executing computations on platform Host. Devices: 2019-05-28 19:15:48.429537: I tensorflow/compiler/xla/service/service.cc:158] StreamExecutor device (0): , ERROR: GLEW initalization error: Missing GL version

Press Enter to exit

NasimShafiee avatar May 28 '19 19:05 NasimShafiee

Thanks for your response! I ran "softlearning run_example_debug examples.classifier_rl --n_goal_examples 10 --task=Image48SawyerDoorPullHookEnv-v0 --algorithm VICERAQ --n_epochs 300 --active_query_frequency 10" and this is my log:

/opt/conda/envs/softlearning/lib/python3.6/site-packages/requests/init.py:91: RequestsDependencyWarning: urllib3 (1.25.1) or chardet (3.0.4) doesn't match a supported version! RequestsDependencyWarning)

WARNING: The TensorFlow contrib module will not be included in TensorFlow 2.0. For more information, please see:

  • https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md
  • https://github.com/tensorflow/addons If you depend on functionality not listed there, please file an issue.

WARNING: Logging before flag parsing goes to stderr. I0528 17:41:52.373401 139931832047424 acceleratesupport.py:13] OpenGL_accelerate module loaded I0528 17:41:52.378882 139931832047424 arraydatatype.py:270] Using accelerated ArrayDatatype I0528 17:41:52.512549 139931832047424 init.py:34] MuJoCo library version is: 200 I0528 17:41:53.840228 139931832047424 init.py:333] Registering multiworld mujoco gym environments I0528 17:41:53.892477 139931832047424 init.py:14] Registering goal example multiworld mujoco gym environments 2019-05-28 17:41:53,958 INFO tune.py:64 -- Did not find checkpoint file in /root/ray_results/multiworld/mujoco/Image48SawyerDoorPullHookEnv-v0/2019-05-28T17-41-53-2019-05-28T17-41-53. 2019-05-28 17:41:53,958 INFO tune.py:211 -- Starting a new experiment. == Status == Using FIFO scheduling algorithm. Resources requested: 0/8 CPUs, 0/1 GPUs Memory usage on this node: 10.4/33.6 GB

Using seed 4148 2019-05-28 17:41:53.969472: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2019-05-28 17:41:53.992703: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2904000000 Hz 2019-05-28 17:41:53.993372: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x55a06bd030c0 executing computations on platform Host. Devices: 2019-05-28 17:41:53.993388: I tensorflow/compiler/xla/service/service.cc:158] StreamExecutor device (0): , ERROR: GLEW initalization error: Missing GL version

Press Enter to exit ...

Mehrdad-Dorostian avatar May 28 '19 20:05 Mehrdad-Dorostian

@Mehrdad-Dorostian @NasimShafiee Could you tell me what GPU do you have on your system? What's the output of nvidia-smi when you run it from within the docker container?

avisingh599 avatar Jun 01 '19 17:06 avisingh599

Fri Jun 7 18:08:52 2019
+-----------------------------------------------------------------------------+ | NVIDIA-SMI 415.27 Driver Version: 415.27 CUDA Version: 10.0 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | |===============================+======================+======================| | 0 GeForce RTX 208... Off | 00000000:01:00.0 On | N/A | | 45% 61C P2 117W / 260W | 707MiB / 10988MiB | 43% Default | +-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| | 0 1224 G /usr/lib/xorg/Xorg 202MiB | | 0 2780 G compiz 79MiB | | 0 4555 C+G python3.6 373MiB | | 0 4626 G ...uest-channel-token=14554047989433986600 47MiB | +-----------------------------------------------------------------------------+

NasimShafiee avatar Jun 07 '19 22:06 NasimShafiee

I cannot access nvidia-smi inside softlearning-dev-cpu. Also, I cannot create softlearning-dev-gpu image:

WARNING: The SOFTLEARNING_DEV_GPU_TAG variable is not set. Defaulting to a blank string. ERROR: no such image: avi-softlearning:: invalid reference format

NasimShafiee avatar Jun 07 '19 22:06 NasimShafiee

I have some problems in using docker installation. pip subprocess error: Running command git clone -q https://github.com/deepmind/dm_control.git /tmp/pip-req-build-f94_w0g4 Running command git checkout -q 0260f3effcfe2b0fdb25d9652dc27ba34b52d226 Running command git clone -q https://github.com/avisingh599/multiworld.git /tmp/pip-req-build-3wyolddc Running command git checkout -q 19bf319422c0016260166bf64e194552bf2a9e68 Running command git clone -q https://github.com/hartikainen/mujoco-py.git /tmp/pip-req-build-5687gubb Running command git checkout -q 29fcd26290c9417aef0f82d0628d29fa0dbf0fab fatal: reference is not a tree: 29fcd26290c9417aef0f82d0628d29fa0dbf0fab ERROR: Command errored out with exit status 128: git checkout -q 29fcd26290c9417aef0f82d0628d29fa0dbf0fab Check the logs for full command output.

CondaEnvException: Pip failed

ERROR: Service 'softlearning-dev-cpu' failed to build: The command '/bin/bash -c echo "${MJKEY}" > ~/.mujoco/mjkey.txt && conda env update -f /tmp/environment.yml && conda clean --all -y && rm ~/.mujoco/mjkey.txt' returned a non-zero code: 1

fromWRF avatar May 05 '20 06:05 fromWRF