Add ray.util package and move libraries from experimental (#7100)

doc/examples/doc_code/raysgd_torch_signatures.py

@@ -46,7 +46,7 @@ def optimizer_creator(model, config):
 
 
 # __torch_data_start__
-from ray.experimental.sgd.pytorch.examples.train_example import LinearDataset
+from ray.util.sgd.pytorch.examples.train_example import LinearDataset
 
 def data_creator(config):
     """Constructs torch.utils.data.Dataset objects.
@@ -108,7 +108,7 @@ ray.init()
 # __torch_ray_end__
 
 # __torch_trainer_start__
-from ray.experimental.sgd import PyTorchTrainer
+from ray.util.sgd import PyTorchTrainer
 
 trainer = PyTorchTrainer(
     model_creator,

doc/examples/overview.rst

@@ -1,5 +1,11 @@
-Examples Overview
-=================
+Ray Tutorials and Examples
+==========================
+
+Get started with Ray, Tune, and RLlib with these notebooks that you can run online in CoLab or Binder:
+ * `Ray Tutorial Notebooks <https://github.com/ray-project/tutorial>`__
+
+Example Gallery
+---------------
 
 .. customgalleryitem::
    :tooltip: Build a simple parameter server using Ray.