Usage¶
GPUs¶
Nota bene you must explicitly request a quota increase.
Establish a baseline¶
Make your project known to gat.
gat create
Create a Dockerfile, e.g.,
FROM tensorflow/tensorflow
COPY ./train.py .
CMD python train.py
Test your Dockerfile
with
gat run-local
Now run the task in Compute Engine.
gat run-remote
Tail the output of your task.
gat log -f
Inspect results in the newly created run-local
and run-remote
directories.
Creating experiments¶
Suppose we want to change the learning rate \(\eta\) to 0.3.
gat create eta0.3
Modify the code to effect the change, and rerun gat run-local
or gat run-remote
.