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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def shapeless_placeholder(x, axis, name):
 """ Make the static shape of a tensor less specific. If you want to feed to a tensor, the shape of the feed value must match the tensor's static shape. This function creates a placeholder which defaults to x if not fed, but has a less specific static shape than x. See also `tensorflow#5680 <https://github.com/tensorflow/tensorflow/issues/5680>`_. Args: x: a tensor axis(int or list of ints):
 these axes of ``x.get_shape()`` will become None in the output. name(str):
 name of the output tensor Returns: a tensor equal to x, but shape information is partially cleared. """

    shp = x.get_shape().as_list()
    if not isinstance(axis, list):
        axis = [axis]
    for a in axis:
        if shp[a] is None:
            raise ValueError("Axis {} of shape {} is already unknown!".format(a, shp))
        shp[a] = None
    x = tf.placeholder_with_default(x, shape=shp, name=name)
    return x