diff --git a/imperative/python/megengine/functional/nn.py b/imperative/python/megengine/functional/nn.py
index fdc9eb7eda828291962100418da6058d246cfb37..305c30f7e9a2d1c8678db248cb96428c2139a214 100644
--- a/imperative/python/megengine/functional/nn.py
+++ b/imperative/python/megengine/functional/nn.py
@@ -1269,15 +1269,27 @@ def sync_batch_norm(
         group: communication group, caculate mean and variance between this group.
             Default: :obj:`~megengine.distributed.WORLD`
     """
-    assert eps_mode.lower() in {"max", "additive"}, "unknown eps_mode: {}".format(
-        eps_mode
-    )
-    # TODO: cudnnBn fastpath
+    _eps_mode = eps_mode.lower()
+    assert _eps_mode in {"max", "additive"}, "unknown eps_mode: {}".format(eps_mode)
+    if _eps_mode == "additive" and not (is_distributed() and training):
+        return batch_norm(
+            inp,
+            running_mean,
+            running_var,
+            weight,
+            bias,
+            training=training,
+            momentum=momentum,
+            eps=eps,
+        )
     _channels = make_shape_tuple(inp.shape)[1]
     _ndim = inp.ndim
     _device = inp.device
     _dtype = inp.dtype
 
+    if _ndim != 4:
+        raise NotImplementedError("sync_batch_norm for ndim != 4")
+
     def _make_full_if_none(x, value):
         if x is None:
             (x,) = Const(value, dtype=inp.dtype, device=_device)()