parameters: (self, dataset)
return_statement: return super(ParameterServerStrategy, self).make_dataset_iterator(dataset)
docstring: Makes an iterator for input provided via `dataset`.
  
      NOTE: The batch size of the `dataset` argument is treated differently for
      this contrib version of `ParameterServerStrategy`.
  
      Data from the given dataset will be distributed evenly across all the
      compute replicas. We will assume that the input dataset is batched by the
      per-replica batch size.
  
      The user could also use `make_input_fn_iterator` if they want to
      customize which input is fed to which replica/worker etc.
  
      Args:
        dataset: `tf.data.Dataset` that will be distributed evenly across all
          replicas.
  
      Returns:
        An `tf.distribute.InputIterator` which returns inputs for each step of the
        computation.  User should call `initialize` on the returned iterator.
docstring_summary: Makes an iterator for input provided via `dataset`.
docstring_tokens: Makes an iterator for input provided via dataset .
function: def make_dataset_iterator(self, dataset):  # pylint: disable=useless-super-delegation
      """Makes an iterator for input provided via `dataset`.
  
      NOTE: The batch size of the `dataset` argument is treated differently for
      this contrib version of `ParameterServerStrategy`.
  
      Data from the given dataset will be distributed evenly across all the
      compute replicas. We will assume that the input dataset is batched by the
      per-replica batch size.
  
      The user could also use `make_input_fn_iterator` if they want to
      customize which input is fed to which replica/worker etc.
  
      Args:
        dataset: `tf.data.Dataset` that will be distributed evenly across all
          replicas.
  
      Returns:
        An `tf.distribute.InputIterator` which returns inputs for each step of the
        computation.  User should call `initialize` on the returned iterator.
      """
      return super(ParameterServerStrategy, self).make_dataset_iterator(dataset)
function_tokens: def make_dataset_iterator ( self , dataset ) : # pylint: disable=useless-super-delegation return super ( ParameterServerStrategy , self ) . make_dataset_iterator ( dataset )