Tensorboard not found as magic function in jupyter
Question:
I want to run tensorboard in jupyter using the latest tensorflow 2.0.0a0.
With the tensorboard version 1.13.1, and python 3.6.
using
...
%tensorboard --logdir {logs_base_dir}
I get the error :
UsageError: Line magic function %tensorboard not found
Do you have an idea what the problem could be? It seems that all versions are up to date and the command seems correct too.
Thanks
Answers:
UPDATE
For newer TF versions (tensorflow>=1.14.0
& tensorflow != 2.0.0a0
– newer than TF2.0-alpha) load the extension like this
%load_ext tensorboard
OLD ANSWER
The extension needs to be loaded first:
%load_ext tensorboard.notebook
%tensorboard --logdir {logs_base_dir}
If you are using TF 2.0 you can execute the code below from your notebook environment, prior to your magic command:
%load_ext tensorboard
Year 2020
I needed to pip uninstall both tensorflow
and tensorboard
Then install tf-nightly
In order to get this to work
%load_ext tensorboard.notebook
%tensorboard --logdir {logs_base_dir}
extension loading is required before. You can try -> %load_ext tensorboard
.It worked for me. I am using TensorFlow 1.>
That’s how I solved it
%load_ext tensorboard
%tensorboard --logdir /content/drive/MyDrive/Dog Vision/logs
After --logdir
, this is my path directory /content/drive/MyDrive/Dog Vision/logs
. It should be different for you.
I want to run tensorboard in jupyter using the latest tensorflow 2.0.0a0.
With the tensorboard version 1.13.1, and python 3.6.
using
...
%tensorboard --logdir {logs_base_dir}
I get the error :
UsageError: Line magic function %tensorboard not found
Do you have an idea what the problem could be? It seems that all versions are up to date and the command seems correct too.
Thanks
UPDATE
For newer TF versions (tensorflow>=1.14.0
& tensorflow != 2.0.0a0
– newer than TF2.0-alpha) load the extension like this
%load_ext tensorboard
OLD ANSWER
The extension needs to be loaded first:
%load_ext tensorboard.notebook
%tensorboard --logdir {logs_base_dir}
If you are using TF 2.0 you can execute the code below from your notebook environment, prior to your magic command:
%load_ext tensorboard
Year 2020
I needed to pip uninstall both tensorflow
and tensorboard
Then install tf-nightly
In order to get this to work
%load_ext tensorboard.notebook
%tensorboard --logdir {logs_base_dir}
extension loading is required before. You can try -> %load_ext tensorboard
.It worked for me. I am using TensorFlow 1.>
That’s how I solved it
%load_ext tensorboard %tensorboard --logdir /content/drive/MyDrive/Dog Vision/logs
After --logdir
, this is my path directory /content/drive/MyDrive/Dog Vision/logs
. It should be different for you.