code: def testHostMemory(self):
      with self.session() as sess:
          x = array_ops.placeholder(dtypes.int32)
          with self.test_scope():
              y = x + 1
          with ops.device(CPU_DEVICE):
              # Place a computation on the CPU, so y and w cannot be merged into the
              # same JIT compilation.
              z = y * 2
          with self.test_scope():
              # Argument 'y' is a non-constant output of a previous cluster. Make sure
              # it is properly copied to host memory so it can be used as a
              # compile-time constant input for this cluster.
              w = array_ops.reshape(z, y)
          result = sess.run(w, {x: [1, 0]})
          expected = np.array([[4], [2]], dtype=np.int32)
          self.assertAllClose(expected, result, rtol=1e-3)
  
file_path: tensorflow/tensorflow/compiler/tests/clustering_test.py
imports: import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 4 for calling the ClusteringTest obj's underlying member method code with example usage: obj.testHostMemory() without return types