Open tensorboard in Gradient notebook

Hi, I have been using gradient notebook for some days.
I’m using the Pytorch 1.8 notebook template and trying to open tensorboard from Jupyter IDE and received 500 error.
When I tried to start tensorboard from terminal, I received the following:

After some searches, most solutions was about uninstalling a duplicated version of tensorboard which I can be sure that there are none.

Is there anyone experience the same issue or know of a solution?

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@peara We have a beta feature for Tensorboard. You can run Tensorboard and access it via this URL scheme https://tensorboard.NOTEBOOK.CLUSTER.paperspacegradient.com Here’s an example:

Inside the container, the default port of 6006 should still be used.

Hope that works for you!

Thank you, I have been able to open tensorboard using the URL you suggested.

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I tried running

$ tensorboard --logdir 'path_to_logs' --bind_all

but that server is not found. Tried the beta URL scheme and the server was not found either.

Any suggestions are appreciated. Thanks!

Below is the text shown on my terminal when I’m unable to connect to the server after issuing the tensorboard command.

ç^[email protected]:/notebooks# tensorboard --logdir runs/ --bind_all
2021-11-12 21:20:39.269403: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library ‘libcudart.so.11.0’; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64
2021-11-12 21:20:39.269457: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
2021-11-12 21:20:41.353511: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:939] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2021-11-12 21:20:41.354826: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library ‘libcudart.so.11.0’; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64
2021-11-12 21:20:41.355185: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library ‘libcublas.so.11’; dlerror: libcublas.so.11: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64
2021-11-12 21:20:41.355364: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library ‘libcublasLt.so.11’; dlerror: libcublasLt.so.11: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64
2021-11-12 21:20:41.355447: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library ‘libcufft.so.10’; dlerror: libcufft.so.10: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64
2021-11-12 21:20:41.355524: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library ‘libcurand.so.10’; dlerror: libcurand.so.10: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64
2021-11-12 21:20:41.355596: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library ‘libcusolver.so.11’; dlerror: libcusolver.so.11: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64
2021-11-12 21:20:41.355666: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library ‘libcusparse.so.11’; dlerror: libcusparse.so.11: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64
2021-11-12 21:20:41.355771: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library ‘libcudnn.so.8’; dlerror: libcudnn.so.8: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64
2021-11-12 21:20:41.355827: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1850] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at for how to download and setup the required libraries for your platform.
Skipping registering GPU devices…

NOTE: Using experimental fast data loading logic. To disable, pass
“–load_fast=false” and report issues on GitHub. More details:
Fast data loading feedback (`--load_fast=true`; “RustBoard”) · Issue #4784 · tensorflow/tensorboard · GitHub

TensorBoard 2.7.0 at http://nlsjf3seoi:6006/ (Press CTRL+C to quit)

@Andrew-M-Cox can you try running tensorboard --logdir logs/fit --bind_all instead?