message: Rollback documentation that I forgot to rollback last time.
diff: @@ -88,15 +88,6 @@ class Layer(checkpointable.CheckpointableBase):
  once. Should actually perform the logic of applying the layer to the
  input tensors (which should be passed in as the first argument).
  - All floating point tensor inputs and arguments are casted to the layer's
  - dtype, before the body of the layer computation happens. For models with
  - layers of different dtypes, this helps getting rid of the explicit casts
  - between layers.
  -
  - The casting behavior can be customized in subclasses by overridding
  - `_cast_inputs_and_args()` function, which is useful if certain or all inputs
  - should not be casted.
  -
  Arguments:
  trainable: Boolean, whether the layer's variables should be trainable.
  name: String name of the layer.
  