/lib/aarch64-linux-gnu/libGLdispatch.so.0: cannot allocate memory in static TLS block

[wmindramalw]

I go following error message

/lib/aarch64-linux-gnu/libGLdispatch.so.0: cannot allocate memory in static TLS block

How to solve this issue?

I see same issue in below post but there are differences. This issue is libGLdispatch.so.0 and ​that issue is libgomp.so.1

Error: ImportError: /usr/lib/aarch64-linux-gnu/libgomp.so.1: cannot allocate memory in static TLS block (i looked through available threads already)

Hello everyone, I recently purchased Xavier AGX to do mainly Python programming and running machine learning models (Ubuntu 18.04). So far, after installing all packages and placing TensorFlow in the separate virtual environment, everything works fine, running Jupyter Notebook, except one thing. No matter what I do this error keeps happening. I tried all suggestions online with Export lines such as: export LD_PRELOAD=/usr/lib/aarch64-linux-gnu/libgomp.so.1 and updating bashrc file. Still can’t…

[Honey_Patouceul]

See:

Unable find avdec_h264 after intsalled gstreamer plug-ins into Jetson AGX Orin

From what I’ve understood, the GNU TLS2 model which aarch64 uses unfortunately eats from the same TLS preallocated pool as libraries that require static TLS like libgomp, where it is performance critical to have it as static TLS. So, preloading libgomp is a workaround. Note that it may depend on some packages installed in your system. I faced the same on a XavierNX but don’t need that with my Orin (both JP-5.0.2)

Did you try :

LD_PRELOAD=/lib/aarch64-linux-gnu/libGLdispatch.so <your_app>

[wmindramalw]

I used following code,

export LD_PRELOAD=/usr/lib/aarch64-linux-gnu/libGLdispatch.so.0:$LD_PRELOAD

rm ~/.cache/gstreamer-1.0/ -fr

Then tonny IDE is working but VS Code not working. I use code --no-sandbox command to run.

I also try your command like following,

LD_PRELOAD=/lib/aarch64-linux-gnu/libGLdispatch.so code --no-sandbox

and

LD_PRELOAD=/lib/aarch64-linux-gnu/libGLdispatch.so code

It is not working for VS Code.

[Honey_Patouceul]

I don’t have experience with such case, but you may see if you are using an envFile that would overide the current env, or try to create one:

Using Python Environments in Visual Studio Code