google-deepmind / google-deepmind/dm_control

_glfwPlatformGetTls: Assertion `tls->posix.allocated == 1' failed.

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Description

**Error:**
`_glfwPlatformGetTls: Assertion `tls->posix.allocated == 1' failed.`

I'm running Mujuco2.0 with the following pip dependencies:

```
libglewmx-dev
libglew-dev
libglew2.0
libglewmx1.13
(7000) dyung6@ripl-w3:~/rad$ apt-cache pkgnames libglfw
libglfw3-wayland
libglfw3
libglfw3-dev
libglfw3-doc
(7000) dyung6@ripl-w3:~/rad$ conda activate rad
(rad) dyung6@ripl-w3:~/rad$ pip freeze
absl-py @ file:///opt/conda/conda-bld/absl-py_1639803114343/work
cached-property==1.5.2
cachetools==4.2.4
certifi==2021.5.30
cffi @ file:///tmp/build/80754af9/cffi_1625814693874/work
charset-normalizer==2.0.12
cloudpickle==2.0.0
cycler==0.11.0
dataclasses==0.8
decorator==4.4.2
dm-control==0.0.364896371
dm-env==1.5
dm-tree==0.1.6
dmc2gym @ git+https://github.com/1nadequacy/dmc2gym.git@06f7e335d988b17145947be9f6a76f557d0efe81
future==0.18.2
glfw==2.5.2
google-auth==2.6.3
google-auth-oauthlib==0.4.6
grpcio==1.44.0
gym==0.21.0
h5py==3.1.0
idna==3.3
imageio==2.15.0
imageio-ffmpeg==0.4.5
importlib-metadata==4.8.3
importlib-resources==5.4.0
kiwisolver==1.3.1
labmaze==1.0.5
lxml==4.8.0
Markdown==3.3.6
matplotlib==3.3.4
mkl-fft==1.3.0
mkl-random==1.1.1
mkl-service==2.3.0
networkx==2.5.1
numpy @ file:///tmp/build/80754af9/numpy_and_numpy_base_1603487797006/work
oauthlib==3.2.0
olefile==0.46
Pillow==8.4.0
protobuf==3.19.4
pyasn1==0.4.8
pyasn1-modules==0.2.8
pycparser @ file:///tmp/build/80754af9/pycparser_1636541352034/work
PyOpenGL==3.1.6
pyparsing @ file:///tmp/build/80754af9/pyparsing_1635766073266/work
python-dateutil==2.8.2
PyWavelets==1.1.1
requests==2.27.1
requests-oauthlib==1.3.1
rsa==4.8
scikit-image==0.17.2
scipy==1.5.4
six @ file:///tmp/build/80754af9/six_1644875935023/work
tabulate==0.8.9
tb-nightly==2.9.0a20220408
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.1
termcolor==1.1.0
tifffile==2020.9.3
torch==1.10.1
torchvision==0.11.2
tqdm==4.64.0
typing_extensions==4.1.1
urllib3==1.26.9
Werkzeug==2.0.3
zipp==3.6.0
(rad) dyung6@ripl-w3:~/rad$ python --version
Python 3.6.13 :: Anaconda, Inc.
(rad) dyung6@ripl-w3:~/rad$ conda activate 7000
(7000) dyung6@ripl-w3:~/rad$ pip freeze
absl-py==1.0.0
certifi==2021.10.8
charset-normalizer==2.0.12
cloudpickle==2.0.0
dm-control==1.0.1
dm-env==1.5
dm-tree==0.1.6
dmc2gym @ git+https://github.com/denisyarats/dmc2gym.git@06f7e335d988b17145947be9f6a76f557d0efe81
future==0.18.2
glfw==2.5.3
gym==0.23.1
gym-notices==0.0.6
h5py==3.6.0
idna==3.3
importlib-metadata==4.11.3
labmaze==1.0.5
lxml==4.8.0
mujoco==2.1.4
numpy==1.22.3
protobuf==3.20.0
PyOpenGL==3.1.6
pyparsing==2.4.7
requests==2.27.1
scipy==1.8.0
six==1.16.0
tqdm==4.64.0
urllib3==1.26.9
zipp==3.8.0
```

Here is my code:
```
from dm_control import suite
import numpy as np

random_state = np.random.RandomState(42)
env = suite.load('hopper', 'stand', task_kwargs={'random': random_state})

# Simulate episode with random actions
duration = 4 # Seconds
frames = []
ticks = []
rewards = []
observations = []

spec = env.action_spec()
time_step = env.reset()

while env.physics.data.time < duration:

action = random_state.uniform(spec.minimum, spec.maximum, spec.shape)
time_step = env.step(action)
obs = time_step.observation
camera0 = env.physics.render(camera_id=0, height=200, width=200)
pixels = env.physics.render(height=200, width=200, camera_id=0)
print('')
```

I have `libglew2.0` and `libglfw3` installed and I'm running on Linux with Ubuntu 18.04.5. Python version is 3.9.12. The issue arises when I try to render. Not sure why this is happening.

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