code: def _matrix_exp_pade7(matrix):
      """7th-order Pade approximant for matrix exponential."""
      b = [
          17297280.0,
          8648640.0,
          1995840.0,
          277200.0,
          25200.0,
          1512.0,
          56.0,
      ]
      b = [constant_op.constant(x, matrix.dtype) for x in b]
      ident = linalg_ops.eye(
          array_ops.shape(matrix)[-2],
          batch_shape=array_ops.shape(matrix)[:-2],
          dtype=matrix.dtype,
      )
      matrix_2 = math_ops.matmul(matrix, matrix)
      matrix_4 = math_ops.matmul(matrix_2, matrix_2)
      matrix_6 = math_ops.matmul(matrix_4, matrix_2)
      tmp = matrix_6 + b[5] * matrix_4 + b[3] * matrix_2 + b[1] * ident
      matrix_u = math_ops.matmul(matrix, tmp)
      matrix_v = (
          b[6] * matrix_6
          + b[4] * matrix_4
          + b[2] * matrix_2
          + b[0] * ident
      )
      return matrix_u, matrix_v
  
imports: import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import check_ops
  from tensorflow.python.ops import cond
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import gen_linalg_ops
  from tensorflow.python.ops import linalg_ops
  from tensorflow.python.ops import map_fn
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import special_math_ops
  from tensorflow.python.ops import stateless_random_ops
  from tensorflow.python.ops import while_loop
  from tensorflow.python.util import dispatch
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 5 for calling a global function with example usage: _matrix_exp_pade7(matrix) and returns: matrix_u,  matrix_v