diff --git a/aten/src/ATen/native/cpu/TensorCompareKernel.cpp b/aten/src/ATen/native/cpu/TensorCompareKernel.cpp
index 984e60056af..0b71379bcf1 100644
--- a/aten/src/ATen/native/cpu/TensorCompareKernel.cpp
+++ b/aten/src/ATen/native/cpu/TensorCompareKernel.cpp
@@ -1,3 +1,4 @@
+#include <c10/core/ScalarType.h>
 #define TORCH_ASSERT_ONLY_METHOD_OPERATORS
 #include <ATen/core/Tensor.h>
 #include <ATen/native/ReduceOps.h>
@@ -178,6 +179,7 @@ static void aminmax_kernel(
     " but got ", min_result.scalar_type(), " and ", max_result.scalar_type());
 
   if (self.numel() == 1 && self.ndimension() == 0) {
+    TORCH_CHECK(!self.is_complex(), "aminmax not implemented for ", self.scalar_type());
     min_result.resize_({});
     max_result.resize_({});
     min_result.fill_(self);
diff --git a/test/test_reductions.py b/test/test_reductions.py
index 90f192199d2..8e07692cb58 100644
--- a/test/test_reductions.py
+++ b/test/test_reductions.py
@@ -1228,6 +1228,12 @@ class TestReductions(TestCase):
         self._test_minmax_helper(_amin_wrapper, np.amin, device, dtype)
         self._test_minmax_helper(_amax_wrapper, np.amax, device, dtype)
 
+    @onlyNativeDeviceTypes
+    @dtypes(*complex_types())
+    def test_invalid_0dim_aminmax(self, device, dtype):
+        with self.assertRaisesRegex(RuntimeError, 'not implemented'):
+            torch.aminmax(torch.tensor(1., dtype=dtype, device=device), dim=0)
+
     # TODO: bincount isn't a classic reduction -- maybe this test suite is
     #   reductions and summary ops?
     def test_bincount(self, device):