message: Newlines should not exist in Args, Returns or Raises because the markdown parser treats it as a paragraph and the formatting on the site is messed up.
diff: @@ -1171,23 +1171,16 @@ def function(func=None,
  this implements. For example "mycompany.my_recurrent_cell".
  This is stored as an attribute in inference function,
  which can then be detected when processing serialized function.
  - See
  - https://github.com/tensorflow/community/blob/master/rfcs/20190610-standardizing-composite_ops.md
  - for details. For an example of utilizing this attribute see:
  - https://github.com/tensorflow/tensorflow/blob/master/tensorflow/compiler/mlir/lite/transforms/prepare_composite_functions_tf.cc
  + See [standardizing composite ops](https://github.com/tensorflow/community/blob/master/rfcs/20190610-standardizing-composite_ops.md) # pylint: disable=line-too-long
  + for details. For an example of utilizing this attribute see this
  + [example](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/compiler/mlir/lite/transforms/prepare_composite_functions_tf.cc)
  The code above automatically detects and substitutes function that
  implements "embedded_matmul" and allows TFLite to substitute its own
  implementations. For instance, a tensorflow user can use this
  attribute to mark that their function also implements
  - `embedded_matmul``` (perhaps more efficiently!)
  - by specifying it using this flag.
  -
  - ```python
  - @tf.function(experimental_implements="embedded_matmul"):
  - def embedding_matmul(a, b):
  - # custom implementation here
  - ```
  -
  + `embedded_matmul` (perhaps more efficiently!)
  + by specifying it using this parameter:
  + `@tf.function(experimental_implements="embedded_matmul")`
  experimental_autograph_options: Optional tuple of
  `tf.autograph.experimental.Feature` values.
  experimental_relax_shapes: When True, `tf.function` may generate fewer,
  