Add BatchNorm support

System information

• 1.15 and 2.3:
• Are you willing to contribute it (Yes):

Describe the feature and the current behavior/state.
The problem is described in the mailing thread.

I have next problem: trying to repeat one of the modern CNN architectures on Java API. Most of them are using BatchNormalization as a popular layer with tf.nn.batchNormalization() op.

I trying to use old operands like BatchNormWithGlobalNormalization

I've used but got Exception in thread "main" org.tensorflow.exceptions.TFUnimplementedException: Op BatchNormWithGlobalNormalization is not available in GraphDef version 175. It has been removed in version 9. Use tf.nn.batch_normalization().
at org.tensorflow.internal.c_api.AbstractTF_Status.throwExceptionIfNotOK(AbstractTF_Status.java:99)

This was deperecated years ago, but we have it in 1.15 and 2.x APIs.

The possible solutions:

1. To implement all required stuff in Java Ops
2. Add gradients and contributions in TF Core (gradients and another stuff) if it's possible

Start by reading the linked mailing thread and comparing the Java API's current support with tf.nn.batchNormalization(). The issue proposes either implementing the required Java Ops or adding TensorFlow Core gradients and related contributions, so the expected implementation path and completion criteria need to be clarified first.