Difference between revisions of "Tensorboard"
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(Created page with "TensorBoard is used for visually monitoring statistics while a neural network trains. One recommendation for using [https://github.com/tensorflow/tensorboard/blob/master/docs...") |
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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 | + | 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 via ood.rc.ufl.edu | ||
Revision as of 20:00, 6 August 2021
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 via ood.rc.ufl.edu
- Open a terminal
- Enter command: ml tensorflow
- Enter command: tensorboard --logdir ./pathtolog
- See printed information including a localhost URL with port number
- Open a second terminal
- Enter command: ml ubuntu
- Enter command: firefox (or chrome)
- Paste URL into browser to view TensorBoard log