Merge pull request #4390 from IvyZX:loop

PiperOrigin-RevId: 698482509

flax/nnx/transforms/iteration.py

@@ -1329,8 +1329,8 @@ def __call__(self, pure_val):
 
 
 def _add_fake_index_mapping(tree: tp.Any):
+  global_index_mapping = {}  # for the whole context, over all inputs
   def per_node_state(ns: extract.NodeStates | tp.Any):
-    global_index_mapping = {}
     if not isinstance(ns, extract.NodeStates) or not isinstance(
       ns._graphdef, graph.NodeDef
     ):
@@ -1339,10 +1339,8 @@ def per_node_state(ns: extract.NodeStates | tp.Any):
     def per_node_def(nd: graph.NodeDef | graph.NodeRef):
       if nd.index >= 0:
         global_index_mapping[nd.index] = nd.index
-
       if isinstance(nd, graph.NodeRef):
         return
-
       for sub_nd in nd.subgraphs.values():
         per_node_def(sub_nd)
       for l in nd.leaves.values():
@@ -1480,7 +1478,7 @@ def __call__(self, i, pure_val):
              "have the same reference and pytree structure, but they differ. "
              "If the mismatch comes from `index_mapping` field, you might "
              "have modified reference structure within the body function, "
-             "which is not allowed."
+             "which is not allowed. "
              f"Detail of the mismatch: \n {str(e)}")
       raise ValueError(msg)
 

tests/nnx/transforms_test.py

@@ -2969,6 +2969,22 @@ def rollout(d: D):
       d.a.params.value, np.full((10,), 10, dtype=int)
     )
 
+  def test_loops_multiple_modules(self):
+    class Foo(nnx.Module):
+      def __init__(self):
+        self.param = nnx.Param(jnp.zeros((1,)))
+      def __call__(self, x):
+        return self.param
+
+    def loop_fn(inputs):
+      return inputs
+    while_loop_fn = lambda inputs: (*loop_fn(inputs[:-1]), inputs[-1]-1)
+    fori_loop_fn = lambda i, inputs: loop_fn(inputs)
+    a = Foo()
+    b = Foo()
+    nnx.while_loop(lambda input: input[-1] > 0, while_loop_fn, (a, b, 2))
+    nnx.fori_loop(0, 2, fori_loop_fn, (a, b))
+
 
 class TestSplitMergeInputs(absltest.TestCase):
   def test_split_inputs(self):