message: Improve docstring for aggregation_weights.
diff: @@ -154,11 +154,10 @@ class EnqueueData(
  If it is None, we assume each embedding_indices belongs to a different
  sample. Both int32 and int64 are allowed and will be converted to int32
  internally.
  - aggregation_weights: A rank 1 Tensors containing per training example
  - aggregation weights. It corresponds to sp_weights.values in
  - embedding_lookup_sparse(). If it is None, we assume all weights are 1.
  - Both float32 and float64 are allowed and will be converted to float32
  - internally.
  + aggregation_weights: A rank 1 Tensors containing aggregation weights.
  + It corresponds to sp_weights.values in embedding_lookup_sparse(). If it
  + is None, we assume all weights are 1. Both float32 and float64 are
  + allowed and will be converted to float32 internally.
  Returns:
  An EnqueueData tuple.
  