diff --git a/flax/nnx/graphlib.py b/flax/nnx/graphlib.py
index 4cc499390..fe4357a9f 100644
--- a/flax/nnx/graphlib.py
+++ b/flax/nnx/graphlib.py
@@ -1602,7 +1602,7 @@ def _cached_partial(
     >>> model = nnx.Linear(2, 3, rngs=nnx.Rngs(0))
     >>> optimizer = nnx.Optimizer(model, optax.adamw(1e-3), wrt=nnx.Param)
     ...
-    >>> @nnx.jit
+    >>> @nnx.jit(graph_updates=True, graph=True)
     ... def train_step(model, optimizer, x, y):
     ...   def loss_fn(model):
     ...     return jnp.mean((model(x) - y) ** 2)
@@ -1611,8 +1611,9 @@ def _cached_partial(
     ...   optimizer.update(model, grads)
     ...   return loss
     ...
-    >>> cached_train_step = nnx.cached_partial(train_step, model, optimizer)
-    ...
+    >>> with nnx.set_graph_mode(True):
+    ...   with nnx.set_graph_updates(True):
+    ...       cached_train_step = nnx.cached_partial(train_step, model, optimizer)
     >>> for step in range(total_steps:=2):
     ...   x, y = jnp.ones((10, 2)), jnp.ones((10, 3))
     ...   # loss = train_step(model, optimizer, x, y)
@@ -3156,7 +3157,7 @@ def iter_graph(
     >>> module = Linear(3, 4, rngs=nnx.Rngs(0))
     >>> graph = [module, module]
     ...
-    >>> for path, value in nnx.iter_graph(graph):
+    >>> for path, value in nnx.iter_graph(graph, graph=True):
     ...   print(path, type(value).__name__)
     ...
     (0, '_pytree__nodes') HashableMapping