diff --git a/test/test_jit.py b/test/test_jit.py
index 6c1d929d..269aa477 100644
--- a/test/test_jit.py
+++ b/test/test_jit.py
@@ -17,7 +17,7 @@ class TestJit(unittest.TestCase):
       a = Tensor.randn(10, 10)
       b = Tensor.randn(10, 10)
       c = add(a, b)
-      np.testing.assert_equal(c.numpy(), a.numpy()+b.numpy())
+      np.testing.assert_allclose(c.numpy(), a.numpy()+b.numpy(), atol=1e-4, rtol=1e-5)
     assert len(add.jit_cache) == 1
 
   def test_jit_multiple_outputs(self):
@@ -27,9 +27,9 @@ class TestJit(unittest.TestCase):
       a = Tensor.randn(10, 10)
       b = Tensor.randn(10, 10)
       c, d, e = f(a, b)
-      np.testing.assert_equal(c.numpy(), a.numpy()+b.numpy())
-      np.testing.assert_equal(d.numpy(), a.numpy()-b.numpy())
-      np.testing.assert_equal(e.numpy(), a.numpy()*b.numpy())
+      np.testing.assert_allclose(c.numpy(), a.numpy()+b.numpy(), atol=1e-4, rtol=1e-5)
+      np.testing.assert_allclose(d.numpy(), a.numpy()-b.numpy(), atol=1e-4, rtol=1e-5)
+      np.testing.assert_allclose(e.numpy(), a.numpy()*b.numpy(), atol=1e-4, rtol=1e-5)
     assert len(f.jit_cache) == 3
 
   def test_nothing_jitted(self):
@@ -67,7 +67,7 @@ class TestJit(unittest.TestCase):
       a = Tensor.randn(10, 10)
       b = Tensor.randn(10, 10)
       c = add_kwargs(first=a, second=b)
-      np.testing.assert_equal(c.numpy(), a.numpy()+b.numpy())
+      np.testing.assert_allclose(c.numpy(), a.numpy()+b.numpy(), atol=1e-4, rtol=1e-5)
     assert len(add_kwargs.jit_cache) == 1
 
   def test_array_jit(self):
@@ -80,9 +80,9 @@ class TestJit(unittest.TestCase):
       c = add_array(a, [b])
       if i >= 2:
         # should fail once jitted since jit can't handle arrays
-        np.testing.assert_equal(np.any(np.not_equal(c.numpy(),a.numpy()+b.numpy())), True)
+        np.testing.assert_allclose(np.any(np.not_equal(c.numpy(),a.numpy()+b.numpy())), True, atol=1e-4, rtol=1e-5)
       else:
-        np.testing.assert_equal(c.numpy(), a.numpy()+b.numpy())
+        np.testing.assert_allclose(c.numpy(), a.numpy()+b.numpy(), atol=1e-4, rtol=1e-5)
     assert len(add_array.jit_cache) == 1
 
   def test_method_jit(self):
@@ -96,7 +96,7 @@ class TestJit(unittest.TestCase):
     for _ in range(5):
       b = Tensor.randn(10, 10)
       c = fun(b)
-      np.testing.assert_equal(c.numpy(), fun.a.numpy()+b.numpy())
+      np.testing.assert_allclose(c.numpy(), fun.a.numpy()+b.numpy(), atol=1e-4, rtol=1e-5)
     assert len(fun.__call__.func.__self__.jit_cache) == 1
 
   def test_jit_size1_input(self):
@@ -104,7 +104,7 @@ class TestJit(unittest.TestCase):
     def f(a, b): return (a+b).realize()
     a = Tensor([1, 2, 3])
     for i in range(5):
-      np.testing.assert_equal(f(a, Tensor([i])).cpu().numpy(), (a+i).cpu().numpy())
+      np.testing.assert_allclose(f(a, Tensor([i])).cpu().numpy(), (a+i).cpu().numpy(), atol=1e-4, rtol=1e-5)
     assert len(f.jit_cache) == 1
 
   def test_jit_output_non_tensor_fail(self):
@@ -120,7 +120,7 @@ class TestJit(unittest.TestCase):
       output2.append(o2)
       expect1.append(a.numpy().copy()+b.numpy().copy())
       expect2.append(i)
-    np.testing.assert_equal(output1, expect1)
+    np.testing.assert_allclose(output1, expect1, atol=1e-4, rtol=1e-5)
     # the jit only works with Tensor outputs
     assert output2 != expect2
     assert len(f.jit_cache) == 1