message: [TF2XLA] Clarify the error message when XLA JIT is not available
diff: @@ -632,10 +632,14 @@ class Function(object):
  attributes.update(_XlaMustCompile=bool(self._experimental_compile))
  if self._experimental_compile:
  attributes.update(_noinline=True)
  + # TODO(b/149755889): Until XLA is always linked, we have to do a runtime
  + # check.
  if not pywrap_tfe.TF_IsXlaEnabled():
  - raise ValueError("Attempting to use experimental_compile, "
  + raise ValueError(
  + "Attempting to use experimental_compile, "
  "but XLA support is not linked in. "
  - "Rebuild with --define=with_xla_support=true.")
  + "Is the dependency to tensorflow/compiler/jit:xla_gpu_jit "
  + "(or xla_cpu_jit) present?")
  if not attributes:
  attributes = None
  return function_lib.defun_with_attributes(
  