message: Update docs for tf.contrib.layers.optimize_loss
  Easier to read and corrects name of example callable
diff: @@ -109,11 +109,12 @@ def optimize_loss(loss,
  gradient_multipliers: dict of variables or variable names to floats.
  If present, gradients for specified
  variables will be multiplied by given constant.
  - clip_gradients: float, callable or `None`. If float, is provided, a global
  - clipping is applied to prevent the norm of the gradient to exceed this
  - value. Alternatively, a callable can be provided e.g.: adaptive_clipping.
  - This callable takes a `list` of `(gradients, variables)` `tuple`s and
  - returns the same thing with the gradients modified.
  + clip_gradients: float, callable or `None`. If a float is provided, a global
  + clipping is applied to prevent the norm of the gradient from exceeding
  + this value. Alternatively, a callable can be provided e.g.,
  + adaptive_clipping_fn(). This callable takes a `list` of
  + `(gradients, variables)` `tuple`s and returns the same thing with the
  + gradients modified.
  learning_rate_decay_fn: function, takes `learning_rate` and `global_step`
  `Tensor`s, returns `Tensor`.
  Can be used to implement any learning rate decay
  