message: Updates the warning of default initializer in deprecated embedding_column.
diff: @@ -1100,9 +1100,9 @@ class _EmbeddingColumn(
  raise ValueError("Must specify both `ckpt_to_load_from` and "
  "`tensor_name_in_ckpt` or none of them.")
  if initializer is None:
  - logging.warn("The default stddev value of initializer will change from "
  - "\"1/sqrt(vocab_size)\" to \"1/sqrt(dimension)\" after "
  - "2017/02/25.")
  + logging.warn("The default stddev value of initializer was changed from "
  + "\"1/sqrt(vocab_size)\" to \"1/sqrt(dimension)\" in core "
  + "implementation (tf.feature_column.embedding_column).")
  stddev = 1 / math.sqrt(sparse_id_column.length)
  initializer = init_ops.truncated_normal_initializer(
  mean=0.0, stddev=stddev)
  @@ -1501,8 +1501,6 @@ class _ScatteredEmbeddingColumn(
  raise ValueError("initializer must be callable if specified. "
  "column_name: {}".format(column_name))
  if initializer is None:
  - logging.warn("The default stddev value of initializer will change from "
  - "\"0.1\" to \"1/sqrt(dimension)\" after 2017/02/25.")
  stddev = 0.1
  initializer = init_ops.truncated_normal_initializer(
  mean=0.0, stddev=stddev)
  