message: Add guidance to documentation on when to use a callable for record_if.
diff: @@ -126,7 +126,13 @@ def record_if(condition):
  The provided value can be a python boolean, a scalar boolean Tensor, or
  or a callable providing such a value; if a callable is passed it will be
  - invoked on-demand to determine whether summary writing will occur.
  + invoked on-demand to determine whether summary writing will occur. Note that
  + when calling record_if() in an eager mode context, if you intend to provide a
  + varying condition like `step % 100 == 0`, you must wrap this in a
  + callable to avoid immediate eager evaluation of the condition. In particular,
  + using a callable is the only way to have your condition evaluated as part of
  + the traced body of an @tf.function that is invoked from within the
  + `record_if()` context.
  Args:
  condition: can be True, False, a bool Tensor, or a callable providing such.
  