docstr: Tests that copies between GPU and XLA devices work.
code: def testCopiesToAndFromGpuWork(self):
      """Tests that copies between GPU and XLA devices work."""
      if not test.is_gpu_available():
          return
  
      with session_lib.Session() as sess:
          x = array_ops.placeholder(dtypes.float32, [2])
          with ops.device("GPU"):
              y = x * 2
          with ops.device("device:XLA_CPU:0"):
              z = y * y
          with ops.device("GPU"):
              w = y + z
          result = sess.run(w, {x: [1.5, 0.5]})
      self.assertAllClose(result, [12.0, 2.0], rtol=1e-3)
  
file_path: tensorflow-upstream/tensorflow/compiler/tests/xla_device_gpu_test.py
imports: from tensorflow.python.client import session
  from tensorflow.python.eager import context
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 2 for calling the XlaDeviceGpuTest obj's underlying member method code with example usage: obj.testCopiesToAndFromGpuWork() without return types