diff --git a/test/test_ops.py b/test/test_ops.py
index daf64b80d6..7043f57f8c 100644
--- a/test/test_ops.py
+++ b/test/test_ops.py
@@ -1123,6 +1123,8 @@ class TestOps(unittest.TestCase):
     helper_test_op([(1,)], lambda x: x.reshape([]))
     helper_test_op([()], lambda x: x.reshape([1]))
     helper_test_op([()], lambda x: x.reshape([1, 1, 1]))
+    self.helper_test_exception([(3, 4)], lambda x: x.reshape((-1, -1, 2)), lambda x: x.reshape((-1, -1, 2)), expected=RuntimeError)
+    self.helper_test_exception([(3, 4)], lambda x: x.reshape((-1, -1, -1, 2)), lambda x: x.reshape((-1, -1, -1, 2)), expected=RuntimeError)
 
     with self.assertRaises(ValueError):
       x = Tensor.ones((4,3,6,6))
diff --git a/tinygrad/tensor.py b/tinygrad/tensor.py
index 63891b7f1e..15cdda0da0 100644
--- a/tinygrad/tensor.py
+++ b/tinygrad/tensor.py
@@ -765,6 +765,7 @@ class Tensor:
     ```
     """
     new_shape = argfix(shape, *args)
+    if new_shape.count(-1) > 1: raise RuntimeError(f"only one dimension can be inferred using -1, getting {new_shape}")
     new_shape = tuple([-prod(self.shape) // prod(new_shape) if s == -1 else (s if s is not None else self.shape[i]) for i,s in enumerate(new_shape)])
     return F.Reshape.apply(self, shape=new_shape) if new_shape != self.shape else self