docstr: Tests an operator that has a mandatory-constant shape input.
docstr_tok: ["Tests","an","operator","that","has","a","mandatory-constant","shape","input","."]
code: def testMandatoryConstantInput(self):
      """Tests an operator that has a mandatory-constant shape input."""
  
      def FillWithFloat(x):
          return array_ops.fill(x, 9.5)
  
      self._compare(FillWithFloat, [np.array([3, 2], dtype=np.int32)])
  
imports: import os
  import numpy
  from tensorflow.compiler.tests import test_utils
  from tensorflow.core.protobuf import config_pb2
  from tensorflow.core.protobuf import rewriter_config_pb2
  from tensorflow.python.client import session
  from tensorflow.python.compiler.xla import jit
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import function
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import cond
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops import while_loop
  from tensorflow.python.platform import test
label_desc: Use image node_id 8 for calling the JitLaunchTest obj's underlying member method code with example usage: obj.testMandatoryConstantInput() and returns: array_ops