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.

Sign up for GitHub

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

Jump to bottom

Tensorflow 2.5 breaks KerasSequentialConverter #2

Open
landerlini opened this issue Jul 30, 2021 · 1 comment
Open

Tensorflow 2.5 breaks KerasSequentialConverter #2

landerlini opened this issue Jul 30, 2021 · 1 comment
Assignees
@landerlini
Labels
bug Something isn't working

Comments

@landerlini
Copy link
Owner

I observed that loading with TF2.5.0 a keras Sequential model stored using TF 2.3.1 breaks scikinC because it cannot identify the output shape of the last layer without initializing the model first (which sounds a bit bizarre, but a simple workaround may exist).
@landerlini landerlini self-assigned this Jul 30, 2021
@landerlini landerlini added the bug Something isn't working label Sep 15, 2021
@landerlini
Copy link
Owner Author

pytest testing succeeds with TF versions 2.5.0 and 2.6.0.

I will let this issue open and try to reproduce the problem.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees

@landerlini landerlini

Labels
bug Something isn't working
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
1 participant
@landerlini