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Using the XPython kernel in conjunction with PyTorch seems impossible, even when inside the same conda environment and executing simple commands like torch.device(). I've tried many different versions of torch and python, but to no avail. Using the default kernel actually works without any kernel crash.
❯ jupyter lab
[I 2021-06-21 19:16:32.526 ServerApp] jupyterlab | extension was successfully linked.
[I 2021-06-21 19:16:32.684 ServerApp] nbclassic | extension was successfully linked.
[I 2021-06-21 19:16:32.709 ServerApp] nbclassic | extension was successfully loaded.
[I 2021-06-21 19:16:32.710 LabApp] JupyterLab extension loaded from /home/user/miniconda3/envs/pytorch/lib/python3.9/site-packages/jupyterlab
[I 2021-06-21 19:16:32.710 LabApp] JupyterLab application directory is /home/user/miniconda3/envs/pytorch/share/jupyter/lab
[I 2021-06-21 19:16:32.713 ServerApp] jupyterlab | extension was successfully loaded.
[I 2021-06-21 19:16:32.713 ServerApp] The port 8888 is already in use, trying another port.
[I 2021-06-21 19:16:32.714 ServerApp] Serving notebooks from local directory: /home/user
[I 2021-06-21 19:16:32.714 ServerApp] Jupyter Server 1.8.0 is running at:
[I 2021-06-21 19:16:32.714 ServerApp] http://localhost:8889/lab?token=6712d9522519901545d3890885d5f4ca00aafd48b56b11c7
[I 2021-06-21 19:16:32.714 ServerApp] http://127.0.0.1:8889/lab?token=6712d9522519901545d3890885d5f4ca00aafd48b56b11c7
[I 2021-06-21 19:16:32.714 ServerApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[C 2021-06-21 19:16:32.746 ServerApp]
To access the server, open this file in a browser:
file:///home/user/.local/share/jupyter/runtime/jpserver-30043-open.html
Or copy and paste one of these URLs:
http://localhost:8889/lab?token=6712d9522519901545d3890885d5f4ca00aafd48b56b11c7
http://127.0.0.1:8889/lab?token=6712d9522519901545d3890885d5f4ca00aafd48b56b11c7
[I 2021-06-21 19:16:36.699 LabApp] Build is up to date
[I 2021-06-21 19:16:37.397 ServerApp] Kernel started: d0f17729-9807-4943-90e5-41e4067adedc
munmap_chunk(): invalid pointer
[I 2021-06-21 19:16:55.396 ServerApp] AsyncIOLoopKernelRestarter: restarting kernel (1/5), keep random ports
kernel d0f17729-9807-4943-90e5-41e4067adedc restarted
kernel d0f17729-9807-4943-90e5-41e4067adedc restarted
[I 2021-06-21 19:16:55.452 ServerApp] Starting buffering for d0f17729-9807-4943-90e5-41e4067adedc:23cf243b-4039-46f2-8e93-973923f7463c
The text was updated successfully, but these errors were encountered:
Using the XPython kernel in conjunction with PyTorch seems impossible, even when inside the same conda environment and executing simple commands like
torch.device()
. I've tried many different versions oftorch
andpython
, but to no avail. Using the default kernel actually works without any kernel crash.Conda environment
Jupyter lab stdout
The text was updated successfully, but these errors were encountered: