message: Fix tf.xla.experimental.jit_scope examples formatting
diff: @@ -47,6 +47,8 @@ def experimental_jit_scope(compile_ops=True, separate_compiled_gradients=False):
  The compilation is a hint and only supported on a best-effort basis.
  Example usage:
  +
  + ```python
  with tf.xla.experimental.jit_scope():
  c = tf.matmul(a, b) # compiled
  with tf.xla.experimental.jit_scope(compile_ops=False):
  @@ -54,8 +56,11 @@ def experimental_jit_scope(compile_ops=True, separate_compiled_gradients=False):
  with tf.xla.experimental.jit_scope(
  compile_ops=lambda node_def: 'matmul' in node_def.op.lower()):
  e = tf.matmul(a, b) + d # matmul is compiled, the addition is not.
  + ```
  +
  + Example of `separate_compiled_gradients`:
  - Example of separate_compiled_gradients:
  + ```python
  # In the example below, the computations for f, g and h will all be compiled
  # in separate scopes.
  with tf.xla.experimental.jit_scope(
  @@ -63,6 +68,7 @@ def experimental_jit_scope(compile_ops=True, separate_compiled_gradients=False):
  f = tf.matmul(a, b)
  g = tf.gradients([f], [a, b], name='mygrads1')
  h = tf.gradients([f], [a, b], name='mygrads2')
  + ```
  Args:
  compile_ops: Whether to enable or disable compilation in the scope.
  