Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/tensorflow/tpu
Reference models and tools for Cloud TPUs.
https://github.com/tensorflow/tpu
Last synced: 6 days ago
JSON representation
Reference models and tools for Cloud TPUs.
- Host: GitHub
- URL: https://github.com/tensorflow/tpu
- Owner: tensorflow
- License: apache-2.0
- Created: 2017-07-11T23:54:39.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2024-08-29T17:57:42.000Z (2 months ago)
- Last Synced: 2024-10-08T09:44:47.990Z (27 days ago)
- Language: Jupyter Notebook
- Homepage: https://cloud.google.com/tpu/
- Size: 45.9 MB
- Stars: 5,213
- Watchers: 353
- Forks: 1,769
- Open Issues: 310
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- my-awesome-starred - tensorflow/tpu - Reference models and tools for Cloud TPUs. (Jupyter Notebook)
README
# Cloud TPUs #
This repository is a collection of reference models and tools used with
[Cloud TPUs](https://cloud.google.com/tpu/).The fastest way to get started training a model on a Cloud TPU is by following
the tutorial. Click the button below to launch the tutorial using Google Cloud
Shell.[![Open in Cloud Shell](http://gstatic.com/cloudssh/images/open-btn.svg)](https://console.cloud.google.com/cloudshell/open?git_repo=https%3A%2F%2Fgithub.com%2Ftensorflow%2Ftpu&page=shell&tutorial=tools%2Fctpu%2Ftutorial.md)
_Note:_ This repository is a public mirror, pull requests will not be accepted.
Please file an issue if you have a feature or bug request.## Running Models
To run models in the `models` subdirectory, you may need to add the top-level
`/models` folder to the Python path with the command:```
export PYTHONPATH="$PYTHONPATH:/path/to/models"
```