Excellent news. Hopefully with this release we will be able to lift the remaining limitations of the TensorFlow version of Keras (tensor contraction, float<->bool casting, and RNNs over sequences with arbitrary length). https://github.com/fchollet/keras/wiki/Keras,-now-running-on...
- We don't (yet) have a tensor contraction op -- just a matter of getting some dev time to call the existing Eigen contraction code in an op. Hopefully in the next release!
- More casting between types I think is in this release.
- dynamic RNNs is not yet in this one, but also in our sights.
And with all of that, we still need to work on better performance, memory efficiency. Still lots to do!
Comments
Excellent news. Hopefully with this release we will be able to lift the remaining limitations of the TensorFlow version of Keras (tensor contraction, float<->bool casting, and RNNs over sequences with arbitrary length). https://github.com/fchollet/keras/wiki/Keras,-now-running-on...
Congrats to the TensorFlow team!
Thank you for your work on putting Keras on top!
To answer your questions:
- We don't (yet) have a tensor contraction op -- just a matter of getting some dev time to call the existing Eigen contraction code in an op. Hopefully in the next release!
- More casting between types I think is in this release.
- dynamic RNNs is not yet in this one, but also in our sights.
And with all of that, we still need to work on better performance, memory efficiency. Still lots to do!