How to use tensorboard in Amazon SageMaker Studio Lab

Amazon SageMaker Studio Lab is Free

Amazon announced the Free access to Amazon SageMaker Studio Lab. That mean you can use the Free CPU or GPU support jupyter notebook in Amazon SageMaker Studio Lab, similar to the Google Colab.

TensorBoard in Google Colab

For Google Colab, it has native support of TensorBoard, which make it very easy to visualize the model graph, metrics and data.

To use the TensorBoard in Colab is very easy, you just need to exectue the following in the Notebook cell:

%tensorboard--logdir <LOG_DIR>

TensorBoard in Google Colab

TensorBoad in SageMaker Studio Lab

Start a Terminal in the SegeMaker Studio Lab, then run the tensorboard. The TensorBoard will be start at port 6006.

pip install tensorboard
tensorboard --logdir=<LOG_DIR>

Note: This example is for using Pytorch, the default tensorflow output folder is runs.

Start the TensorBoard in Terminal

Then you can access the TensorBoard in the URL via the proxy:


TensorBoard for StudioLab

Please note that this URL is not the same as SageMaker Studio.





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