feature_column.py 文件源码

def __new__(cls,
              column_name,
              size,
              dimension,
              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:
      stddev = 0.1
      # TODO(b/25671353): Better initial value?
      initializer = init_ops.truncated_normal_initializer(
          mean=0.0, stddev=stddev)
    return super(_HashedEmbeddingColumn, cls).__new__(cls, column_name, size,
                                                      dimension, combiner,
                                                      initializer)