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

Deconvolution is super slow #70

Open
kitovyj opened this issue Sep 22, 2018 · 3 comments
Open

Deconvolution is super slow #70

kitovyj opened this issue Sep 22, 2018 · 3 comments

Comments

@kitovyj
Copy link

kitovyj commented Sep 22, 2018

Hello all.

Thank you for a great tool.
I wonder, is there any way to speed up the computations? Layer deconvolution takes ~7 seconds in my case and I want to calculate deconvolutions for around ~10k examples, the network is of 7 layers.

BR,
Alexander

@falaktheoptimist
Copy link
Member

You could run the experiment in batches. Using a large batch size would be useful here to speed up the computations. We haven't experimented extensively with this, but the outputs of a batch would get written to disk together in an image.
Let us know if this helps.

@kitovyj
Copy link
Author

kitovyj commented Sep 27, 2018

Hmm, when I feed a batch with multiple inputs, the tool still generates a single image for each layer... I don't understand the principle here.

@falaktheoptimist
Copy link
Member

Hi @kitovyj
We are working on this. We'll roll out a version where you should be able to insert multiple images simultaneously. You are right - we revisited the code and in its current state it would return just the first image output.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

No branches or pull requests

2 participants