message: Removed mentions of 'sloppy' attribute from doc
diff: @@ -62,16 +62,6 @@ END
  attr {
  name: "output_shapes"
  }
  - attr {
  - name: "sloppy"
  - description: <<END
  -If `True`, return elements as they become available, even if that means returning
  -these elements in a non-deterministic order. Sloppy operation may result in better
  -performance in the presence of stragglers, but the dataset will still block if
  -all of its open streams are blocked.
  -If `False`, always return elements in a deterministic order.
  -END
  - }
  summary: "Creates a dataset that applies `f` to the outputs of `input_dataset`."
  description: <<END
  The resulting dataset is similar to the `InterleaveDataset`, except that the
  @@ -81,13 +71,8 @@ The `tf.data` Python API creates instances of this op from
  `Dataset.interleave()` when the `num_parallel_calls` parameter of that method
  is set to any value other than `None`.
  -!! WARNING !! If the `sloppy` parameter is set to `True`, the operation of this
  -dataset will not be deterministic!
  -
  -The `sloppy` parameter of this op always starts out set to `False` when the
  -Python API creates instances of this op. If the `make_sloppy` static
  -optimization pass runs, that optimization will set the `sloppy` parameter to
  -`True`. Whether this optimization is performed is determined by the
  -`experimental_deterministic` parameter of `tf.data.Options`.
  +If the `experimental_deterministic` parameter of `tf.data.Options` is set to
  +`True`, then the output of this op will be deterministic. Otherwise the output
  +may be nondeterministic.
  END
  }
  