diff --git a/test/helpers.py b/test/helpers.py
index cee64595f3..98b5978f98 100644
--- a/test/helpers.py
+++ b/test/helpers.py
@@ -1,4 +1,4 @@
-import time, struct
+import time, struct, unittest
 from typing import Any, Callable
 import numpy as np
 from tinygrad import Tensor, dtypes, Device
@@ -7,7 +7,7 @@ from tinygrad.tensor import _to_np_dtype
 from tinygrad.engine.realize import Runner
 from tinygrad.dtype import DType
 from tinygrad.nn.state import get_parameters
-from tinygrad.helpers import T, CI
+from tinygrad.helpers import T, CI, RANGEIFY
 from tinygrad.codegen import full_rewrite
 from tinygrad.runtime.ops_python import PythonProgram, PythonRenderer, PythonCompiler
 
@@ -62,3 +62,6 @@ def not_support_multi_device():
 
 # NOTE: This will open REMOTE if it's the default device
 REAL_DEV = (Device.DEFAULT if Device.DEFAULT != "REMOTE" else Device['REMOTE'].properties.real_device)
+
+def expect_rangeify_fails(fxn): return (unittest.expectedFailure if RANGEIFY else (lambda f:f))(fxn)
+def expect_nonrangeify_fails(fxn): return (unittest.expectedFailure if not RANGEIFY else (lambda f:f))(fxn)
diff --git a/test/test_multitensor.py b/test/test_multitensor.py
index fa6086da11..d1c24b0d65 100644
--- a/test/test_multitensor.py
+++ b/test/test_multitensor.py
@@ -7,7 +7,7 @@ from tinygrad.nn.state import get_parameters, get_state_dict
 from tinygrad.engine.realize import lower_schedule, BufferCopy, CompiledRunner, run_schedule
 import numpy as np
 from hypothesis import given, strategies as strat, settings
-from test.helpers import REAL_DEV, not_support_multi_device
+from test.helpers import REAL_DEV, not_support_multi_device, expect_rangeify_fails
 
 settings.register_profile("my_profile", max_examples=200, deadline=None, derandomize=getenv("DERANDOMIZE_CI", False))
 settings.load_profile("my_profile")
@@ -201,6 +201,14 @@ class TestMultiTensor(unittest.TestCase):
     fn = f(n)
     np.testing.assert_allclose(fX.numpy(), fn, rtol=1e-6, atol=1e-6)
 
+  @expect_rangeify_fails # TODO: fix
+  def test_allreduce_shard_ring_sum(self):
+    for axis in (0, 1, None):
+      for use_ring in (0, 2):
+        t = Tensor([1, 2, 3, 4]).reshape(2, 2)
+        with Context(RING=use_ring):
+          np.testing.assert_equal(t.shard(devices_2, axis=axis).sum().item(), 10)
+
   def test_allreduce_naive(self):
     with Context(RING=0):
       a,b = _test_allreduce(Tensor.rand(256, 256))
diff --git a/test/test_schedule.py b/test/test_schedule.py
index 34a982fb99..7c358fe016 100644
--- a/test/test_schedule.py
+++ b/test/test_schedule.py
@@ -18,6 +18,7 @@ from tinygrad.helpers import CI, DEBUG, SPLIT_REDUCEOP, GlobalCounters, Context,
 from tinygrad.schedule.kernelize import merge_views, get_kernelize_map, Kernel
 from tinygrad.engine.schedule import create_schedule_with_vars
 from tinygrad.engine.realize import CompiledRunner, run_schedule, lower_schedule
+from test.helpers import expect_rangeify_fails, expect_nonrangeify_fails
 
 class KernelCountException(Exception): pass
 def check_schedule(t:Tensor|list[Tensor]|UOp, allowed:int, to_prerealize:list[Tensor]|None=None, filter_sink=True):
@@ -42,9 +43,6 @@ def check_schedule(t:Tensor|list[Tensor]|UOp, allowed:int, to_prerealize:list[Te
     raise KernelCountException(f"{kernel_cnt} != {allowed}")
   return sched
 
-def expect_rangeify_fails(fxn): return (unittest.expectedFailure if RANGEIFY else (lambda f:f))(fxn)
-def expect_nonrangeify_fails(fxn): return (unittest.expectedFailure if not RANGEIFY else (lambda f:f))(fxn)
-
 def _realize_weights(m):
   for p in nn.state.get_parameters(m): p.realize()