30146171032ed79ec99ff002ef8f7065c70d8536,tensorflow_transform/analyzers.py,,mean,#Any#Any#Any#Any#,449

Before Change

      raise TypeError("Tensor type %r is not supported" % x.dtype)
  sum_dtype, sum_fn = _sum_combine_fn_and_dtype(x.dtype)
  if isinstance(x, tf.SparseTensor):
    if not reduce_instance_dims:
      raise TypeError(
          "SparseTensor is only supported when reduce_instance_dims=True")
    x = x.values
  with tf.name_scope(name, "mean"):
    // For now _numeric_combine will return a tuple with as many elements as the
    // input tuple.

After Change

  with tf.name_scope(name, "mean"):
    if isinstance(x, tf.SparseTensor):
      if reduce_instance_dims:
        ones_values, x_values = tf.ones_like(x.values), x.values
      else:
        sparse_ones = tf.SparseTensor(
            indices=x.indices,

Instances