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

Empieza leyendo el hilo de correo enlazado y comparando el soporte actual de la Java API con tf.nn.batchNormalization(). El issue propone implementar los Java Ops necesarios o añadir TensorFlow Core gradients y contribuciones relacionadas, por lo que primero deben aclararse la ruta de implementación esperada y los criterios de finalización.