try again with checkpointed classes

python/mlx/nn/utils.py

@@ -48,25 +48,35 @@ def checkpoint(module: Module):
           checkpointing.
 
     Returns:
-        The module that saves the inputs and outputs during the forward pass
+        A new module that saves the inputs and outputs during the forward pass
         and recomputes all intermediate states during the backward pass.
     """
 
-    fn = module.__call__
+    t = type(module)
+    cp_name = f"__checkpointed_{id(t)}__"
+    cp_class = globals().get(cp_name, None)
+    if cp_class is None:
+
+        def init(self):
+            pass
+
+        def call(self, *args, **kwargs):
+            return self.__checkpointed_call__(
+                self.trainable_parameters(), *args, **kwargs
+            )
+
+        cp_class = type(t.__name__, (t,), {})
+        cp_class.__init__ = init
+        cp_class.__call__ = call
+        globals()[cp_name] = cp_class
+
+    cp_module = cp_class()
+    cp_module.__dict__.update(module.__dict__)
+    super(Module, cp_module).update(module.state)
 
     def inner_fn(params, *args, **kwargs):
         module.update(params)
-        return fn(*args, **kwargs)
+        return module(*args, **kwargs)
 
-    checkpointed_fn = mx.checkpoint(inner_fn)
-
-    @wraps(fn)
-    def wrapped_checkpointed_fn(*args, **kwargs):
-        return checkpointed_fn(module.trainable_parameters(), *args, **kwargs)
-
-    class _(type(module)):
-        def __call__(self, *args, **kwargs):
-            return wrapped_checkpointed_fn(*args, **kwargs)
-
-    module.__class__ = _
-    return module
+    cp_module.__checkpointed_call__ = mx.checkpoint(inner_fn)
+    return cp_module