Difference between revisions of "Tensorboard"
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TensorBoard is used for visually monitoring statistics while a neural network trains. | TensorBoard is used for visually monitoring statistics while a neural network trains. | ||
One recommendation for using [https://github.com/tensorflow/tensorboard/blob/master/docs/get_started.ipynb 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: | One recommendation for using [https://github.com/tensorflow/tensorboard/blob/master/docs/get_started.ipynb 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 via ood.rc.ufl.edu | + | * Request a 1 CPU 2 GB RAM HiPerGator Desktop or a console session via [https://ood.rc.ufl.edu 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 | |
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Revision as of 20:19, 6 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