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

tf.feature_column.shared_embeddings supports eager mode #34862

Closed
workingloong opened this issue Dec 5, 2019 · 3 comments
Closed

tf.feature_column.shared_embeddings supports eager mode #34862

workingloong opened this issue Dec 5, 2019 · 3 comments
Assignees
Labels
comp:apis Highlevel API related issues stat:awaiting response Status - Awaiting response from author TF 2.0 Issues relating to TensorFlow 2.0 type:feature Feature requests

Comments

@workingloong
Copy link

System information

  • TensorFlow version (you are using): TF 2.0.0
  • Are you willing to contribute it (Yes/No): No

Describe the feature and the current behavior/state.
Using tensorflow-2.0.0 with eager mode, tf.feature_column.shared_embeddings can not support eager mode.

Will this change the current api? How?
No.

Who will benefit with this feature?
tf.feature_column.shared_embeddings is a common feature column API,we can use it for multiple category_column with embedding parameters.

Any Other info.

@ravikyram ravikyram self-assigned this Dec 6, 2019
@ravikyram ravikyram added the TF 2.0 Issues relating to TensorFlow 2.0 label Dec 6, 2019
@ravikyram
Copy link
Contributor

@workingloong
Do you have any use case that requires the feature you are interested in? Please feel free to submit a PR if you have use cases that supports that feature.Thanks!

@ravikyram ravikyram added stat:awaiting response Status - Awaiting response from author comp:apis Highlevel API related issues labels Dec 6, 2019
@ravikyram ravikyram added the type:feature Feature requests label Dec 20, 2019
@tanzhenyu
Copy link
Contributor

We don't have plans for supporting additional features with feature columns at this point. The right solution will come with this RFC

@panpan123456
Copy link

Has this problem been solved?I had met the same problem

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
comp:apis Highlevel API related issues stat:awaiting response Status - Awaiting response from author TF 2.0 Issues relating to TensorFlow 2.0 type:feature Feature requests
Projects
None yet
Development

No branches or pull requests

6 participants