docstr: Test an int32-typed input.
  
  On a GPU, int32 tensors will be placed in host memory.
docstr_tok: ["Test","an","int32-typed","input",".","On","a","GPU",",","int32","tensors","will","be","placed","in","host","memory","."]
code: def testInt32Input(self):
      """Test an int32-typed input.
  
      On a GPU, int32 tensors will be placed in host memory.
      """
  
      def AddToSelf(x):
          return math_ops.add(x, x)
  
      self._compare(AddToSelf, [np.array([7, 1, 3], 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 7 for calling the JitLaunchTest obj's underlying member method code with example usage: obj.testInt32Input() and returns: math_ops