You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
{{ message }}
This repository has been archived by the owner on Jul 1, 2024. It is now read-only.
after apache/mxnet#14661 and apache/mxnet#14869.
Softmax operator has more strict partial shape inference. This will result in the ndim() of softmax input maybe unknown during dimension check. It will be inferred at a later time.
I have created PR for the case of ndim == 0 in for mxnet in #232.
I'm keeping this issue open to see if we can find alternatives of modifying Keras front end code.
The text was updated successfully, but these errors were encountered:
after apache/mxnet#14661 and apache/mxnet#14869.
Softmax operator has more strict partial shape inference. This will result in the ndim() of softmax input maybe unknown during dimension check. It will be inferred at a later time.
I have created PR for the case of
ndim == 0
in for mxnet in #232.I'm keeping this issue open to see if we can find alternatives of modifying Keras front end code.
The text was updated successfully, but these errors were encountered: