External Issues

External Issues

In this doc, we will summarize the issues we filed to external projects. Since ElasticDL uses some frameworks such as TensorFlow 2.0, it may have some dependency on these projects to implement some features. What's more, we also have some ideas to make improvement on external projects. We will list the issues of all the categories here.

TensorFlow

Dependency

Issue 34618: Support exporting the transform graph together with keras model definition in TensorFlow 2.0

Issue 34862: tf.feature_column.shared_embeddings supports eager mode

Issue 34793: Sequence pad support for Ragged Tensor when call to_tensor

Issue 35010: Memory leak with tf.py_function in eager mode using TF 2.0

Improvement