[docs] replace tune.report with session.report (#34435)

python/ray/tune/tests/tutorial.py

@@ -12,6 +12,7 @@
 import torch.nn.functional as F
 
 from ray import air, tune
+from ray.air import session
 from ray.tune.schedulers import ASHAScheduler
 # __tutorial_imports_end__
 # fmt: on
@@ -105,7 +106,7 @@ def train_mnist(config):
  acc = test(model, test_loader)
 
  # Send the current training result back to Tune
- tune.report(mean_accuracy=acc)
+ session.report(mean_accuracy=acc)
 
  if i % 5 == 0:
  # This saves the model to the trial directory