(a, axis)
return utils.tensor_to_ndarray(tf.expand_dims(a.data, axis=axis))
Expand the shape of an array.

  Args:
    a: array_like. Could be an ndarray, a Tensor or any object that can
      be converted to a Tensor using `tf.convert_to_tensor`.
    axis: int. axis on which to expand the shape.

  Returns:
    An ndarray with the contents and dtype of `a` and shape expanded on axis.
Expand the shape of an array.
Expand the shape of an array .
def expand_dims(a, axis):
  """Expand the shape of an array.

  Args:
    a: array_like. Could be an ndarray, a Tensor or any object that can
      be converted to a Tensor using `tf.convert_to_tensor`.
    axis: int. axis on which to expand the shape.

  Returns:
    An ndarray with the contents and dtype of `a` and shape expanded on axis.
  """
  a = asarray(a)
  return utils.tensor_to_ndarray(tf.expand_dims(a.data, axis=axis))
def expand_dims ( a , axis ) : a = asarray ( a ) return utils . tensor_to_ndarray ( tf . expand_dims ( a . data , axis = axis ) )