message: Small tweaks to comments and documentation strings.
diff: @@ -46,7 +46,7 @@ namespace tensorflow {
  // 5. TPUEmbeddingActivations, when used with appropriate Python libraries,
  // enables the automatic differentiation of models that use embeddings.
  // 6. TPUEmbeddingSendGradients takes a list of Tensors (of the same shapes
  -// as those returned by TPUEmbeddingReceivActivations) containing gradients
  +// as those returned by TPUEmbeddingReceiveActivations) containing gradients
  // to use in updating the embedding tables.
  // 7. Before saving a checkpoint, use the TPUEmbeddingRetrieve Op to update
  // the Graph's embedding table Variables from the updated tables in the
  @@ -147,7 +147,7 @@ parameters that are loaded from a checkpoint before a training loop is
  executed.
  %s
  table_name: Name of this table; must match a name in the
  - EmbeddingLayerConfiguration proto (overrides table_id).
  + TPUEmbeddingConfiguration proto (overrides table_id).
  num_shards: Number of shards into which the embedding tables are divided.
  shard_id: Identifier of shard for this operation.
  table_id: Index of this table in the EmbeddingLayerConfiguration proto
  @@ -283,7 +283,7 @@ the correct embedding table configuration. For example, this op is
  used to retrieve updated parameters before saving a checkpoint.
  %s
  table_name: Name of this table; must match a name in the
  - EmbeddingLayerConfiguration proto (overrides table_id).
  + TPUEmbeddingConfiguration proto (overrides table_id).
  num_shards: Number of shards into which the embedding tables are divided.
  shard_id: Identifier of shard for this operation.
  table_id: Index of this table in the EmbeddingLayerConfiguration proto
  