diff --git a/test/test_conv_speed.py b/test/test_net_speed.py
similarity index 100%
rename from test/test_conv_speed.py
rename to test/test_net_speed.py
diff --git a/test/test_ops.py b/test/test_ops.py
index 4a20557277..04b262b469 100644
--- a/test/test_ops.py
+++ b/test/test_ops.py
@@ -5,7 +5,7 @@ import timeit
 import functools
 from tinygrad.tensor import Tensor
 
-def test_op(shps, torch_fxn, tinygrad_fxn, atol=1e-7, grad_atol=1e-7):
+def helper_test_op(shps, torch_fxn, tinygrad_fxn, atol=1e-7, grad_atol=1e-7):
   ts = [torch.rand(x, requires_grad=True) for x in shps]
   tst = [Tensor(x.detach().numpy()) for x in ts]
 
@@ -36,15 +36,15 @@ class TestOps(unittest.TestCase):
       for cin in [1,3]:
         for H in [2,5]:
           for W in [2,3,5]:
-            test_op([(bs,cin,11,28), (4,cin,H,W)],
+            helper_test_op([(bs,cin,11,28), (4,cin,H,W)],
               lambda x,w: torch.nn.functional.conv2d(x,w).relu(),
               lambda x,w: Tensor.conv2d(x,w).relu(), atol=2e-5, grad_atol=2e-6)
 
   def test_maxpool2x2(self):
-    test_op([(32,2,110,28)], lambda x: torch.nn.functional.max_pool2d(x, (2,2)), Tensor.max_pool2d)
+    helper_test_op([(32,2,110,28)], lambda x: torch.nn.functional.max_pool2d(x, (2,2)), Tensor.max_pool2d)
 
   def test_avgpool2x2(self):
-    test_op([(32,2,111,28)], lambda x: torch.nn.functional.avg_pool2d(x, (2,2)), Tensor.avg_pool2d)
+    helper_test_op([(32,2,111,28)], lambda x: torch.nn.functional.avg_pool2d(x, (2,2)), Tensor.avg_pool2d)
 
 if __name__ == '__main__':
   unittest.main(verbosity=2)