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

Use 1-based indexing in all exported functions #1318

Open

t-kalinowski opened this issue Mar 11, 2022 · 0 comments

Member

t-kalinowski commented Mar 11, 2022 •

edited

Loading

k_argmax(), k_argmin(), axis argument is one based, but the return value is not.
axis argument in:
- layer_batch_normalization(), layer_activation_softmax(), layer_layer_normalization(),
  constraint_maxnorm(), constraint_unitnorm(), constraint_minmaxnorm(),
  layer_concatenate(), activation_softmax()

Related: rstudio/tensorflow#516

The text was updated successfully, but these errors were encountered:

mohamed-180 mentioned this issue

Use 1-based indexing to return values #1321

Closed

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