feature_column.py 文件源码

def __new__(cls,
              column_name,
              size,
              dimension,
              hash_key,
              combiner="sqrtn",
              initializer=None):
    if initializer is not None and not callable(initializer):
      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)
    return super(_ScatteredEmbeddingColumn, cls).__new__(cls, column_name, size,
                                                         dimension, hash_key,
                                                         combiner,
                                                         initializer)