Difference between revisions of "Tensorboard"
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* Start a tensorboard instance in the resulting terminal/shell: | * Start a tensorboard instance in the resulting terminal/shell: | ||
module load tensorflow ubuntu | module load tensorflow ubuntu | ||
| − | tensorboard --logdir ./pathtolog | + | tensorboard --logdir ./pathtolog |
* Copy the printed URL | * Copy the printed URL | ||
* Start a browser: | * Start a browser: | ||
firefox (or chrome) | firefox (or chrome) | ||
* Paste the tensorboard URL into the browser's location bar to view the TensorBoard log | * Paste the tensorboard URL into the browser's location bar to view the TensorBoard log | ||
Revision as of 15:55, 27 August 2021
Back to TensorFlow page
TensorBoard is used for visually monitoring statistics while a neural network trains.
One recommendation for using TensorBoard on HiPerGator is to run TensorBoard monitoring as a separate workload. Many neural network software frameworks are able to stream training data to a TensorBoard log file. Here are the steps to monitor the log separately from your training workload:
- Request a 1 CPU 2 GB RAM HiPerGator Desktop or a console session via OnDemand
- Start a tensorboard instance in the resulting terminal/shell:
module load tensorflow ubuntu tensorboard --logdir ./pathtolog
- Copy the printed URL
- Start a browser:
firefox (or chrome)
- Paste the tensorboard URL into the browser's location bar to view the TensorBoard log