Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Profile timing for minibatch federated learning #98

Open
RomainGoussault opened this issue Apr 3, 2020 · 4 comments
Open

Profile timing for minibatch federated learning #98

RomainGoussault opened this issue Apr 3, 2020 · 4 comments
Assignees
Labels
experiment An experiment on data need test question Further information is requested

Comments

@RomainGoussault
Copy link
Member

Increasing the number of minibatch seems to increase the time to do a federated run.
This might be due to the process of:

  • creating the model
  • setting the weights
  • compiling the model

image

@bowni bowni added the question Further information is requested label Apr 6, 2020
@bowni bowni added this to the 0.5 Further improvements milestone Apr 6, 2020
@RomainGoussault
Copy link
Member Author

@RomainGoussault
Copy link
Member Author

image
_make_train_function should be investigated

@bowni
Copy link
Member

bowni commented Jun 12, 2020

@RomainGoussault do you think it would be interesting to profile again as you did above?

@RomainGoussault
Copy link
Member Author

Yes it would be interesting to use the tensorflow profiler : https://blog.tensorflow.org/2020/04/introducing-new-tensorflow-profiler.html?m=1

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
experiment An experiment on data need test question Further information is requested
Development

No branches or pull requests

2 participants