class_docstr: Multi-head attention over encoder output with Fixup initialization.
class_docstr_tok: ["Multi-head","attention","over","encoder","output","with","Fixup","initialization","."]
code: def _get_memory_antecedent(self, context):
      return context.encoder_output
  
imports: import math
  import gin
  import mesh_tensorflow
  from mesh_tensorflow.transformer import attention
  from mesh_tensorflow.transformer import transformer
  from mesh_tensorflow.transformer import transformer_layers
  import tensorflow.compat.v1
label_desc: Use image node_id 2 for calling the EncDecAttentionFixup obj's underlying member method code with example usage: obj._get_memory_antecedent(context) and returns: context