message: Fix strategy.run's docstring: python literals are not supported in args or kwargs.
diff: @@ -1163,13 +1163,14 @@ class StrategyBase(object):
  `all_reduce`. Please see the module-level docstring of tf.distribute for the
  concept of replica context.
  - All arguments in `args` or `kwargs` should either be Python values of a
  - nested structure of tensors, e.g. a list of tensors, in which case `args`
  - and `kwargs` will be passed to the `fn` invoked on each replica. Or `args`
  - or `kwargs` can be `tf.distribute.DistributedValues` containing tensors or
  - composite tensors, i.e. `tf.compat.v1.TensorInfo.CompositeTensor`, in which
  - case each `fn` call will get the component of a
  - `tf.distribute.DistributedValues` corresponding to its replica.
  + All arguments in `args` or `kwargs` can be a nested structure of tensors,
  + e.g. a list of tensors, in which case `args` and `kwargs` will be passed to
  + the `fn` invoked on each replica. Or `args` or `kwargs` can be
  + `tf.distribute.DistributedValues` containing tensors or composite tensors,
  + i.e. `tf.compat.v1.TensorInfo.CompositeTensor`, in which case each `fn` call
  + will get the component of a `tf.distribute.DistributedValues` corresponding
  + to its replica. Note that arbitrary Python values that are not of the types
  + above are not supported.
  IMPORTANT: Depending on the implementation of `tf.distribute.Strategy` and
  whether eager execution is enabled, `fn` may be called one or more times. If
  @@ -1235,10 +1236,10 @@ class StrategyBase(object):
  Args:
  fn: The function to run on each replica.
  - args: Optional positional arguments to `fn`. Its element can be a Python
  - value, a tensor or a `tf.distribute.DistributedValues`.
  - kwargs: Optional keyword arguments to `fn`. Its element can be a Python
  - value, a tensor or a `tf.distribute.DistributedValues`.
  + args: Optional positional arguments to `fn`. Its element can be a tensor,
  + a nested structure of tensors or a `tf.distribute.DistributedValues`.
  + kwargs: Optional keyword arguments to `fn`. Its element can be a tensor,
  + a nested structure of tensors or a `tf.distribute.DistributedValues`.
  options: An optional instance of `tf.distribute.RunOptions` specifying
  the options to run `fn`.
  