code: def transpose(a, perm=None, name=None):
      """
      Transposes a according to perm, dealing automatically with sparsity.
      :param a: Tensor or SparseTensor with rank k.
      :param perm: permutation indices of size k.
      :param name: name for the operation.
      :return: Tensor or SparseTensor with rank k.
      """
      if K.is_sparse(a):
          transpose_op = tf.sparse.transpose
      else:
          transpose_op = tf.transpose
  
      if perm is None:
          perm = (
              1,
              0,
          )  # Make explicit so that shape will always be preserved
      return transpose_op(a, perm=perm, name=name)
  
imports: import numpy
  import tensorflow
  from tensorflow.keras import backend
label_desc: Use image node_id 1 for calling a global function with example usage: transpose(a, perm, name) and returns: transpose_op