Fix typo: refs/head/main => refs/heads/main (#2818)

.github/workflows/pull_request.yml

@@ -13,7 +13,7 @@ permissions:
 
 concurrency:
   group: ${{ github.workflow }}-${{ github.ref }}
-  cancel-in-progress: ${{ github.ref != 'refs/head/main' }}
+  cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
 
 jobs:
   check_lint:

python/tests/test_ops.py

@@ -1443,23 +1443,22 @@ class TestOps(mlx_tests.MLXTestCase):
         self.assertListEqual(a.tolist(), expected)
 
     def test_unary_ops(self):
-        def test_ops(npop, mlxop, x, y, atol):
+        def test_ops(npop, mlxop, x, y, atol, rtol):
             r_np = npop(x)
             r_mlx = mlxop(y)
             mx.eval(r_mlx)
-
-            self.assertTrue(np.allclose(r_np, r_mlx, atol=atol))
+            self.assertTrue(np.allclose(r_np, r_mlx, atol=atol, rtol=rtol))
 
         x = np.random.rand(18, 28, 38)
         for op in ["abs", "exp", "log", "square", "sqrt"]:
             with self.subTest(op=op):
-                float_dtypes = [("float16", 1e-3), ("float32", 1e-6)]
+                float_dtypes = [("float16", 1e-3, 1e-3), ("float32", 1e-6, 1e-5)]
 
-                for dtype, atol in float_dtypes:
+                for dtype, atol, rtol in float_dtypes:
                     with self.subTest(dtype=dtype):
                         x_ = x.astype(getattr(np, dtype))
                         y_ = mx.array(x_)
-                        test_ops(getattr(np, op), getattr(mx, op), x_, y_, atol)
+                        test_ops(getattr(np, op), getattr(mx, op), x_, y_, atol, rtol)
 
     def test_unary_ops_from_non_array(self):
         unary_ops = [
@@ -1511,12 +1510,14 @@ class TestOps(mlx_tests.MLXTestCase):
                 self.assertTrue(np.allclose(expected, np.array(out), equal_nan=True))
 
     def test_trig_ops(self):
-        def test_ops(npop, mlxop, x, y, atol):
+        def test_ops(npop, mlxop, x, y, atol, rtol):
             r_np = npop(x)
             r_mlx = mlxop(y)
             mx.eval(r_mlx)
 
-            self.assertTrue(np.allclose(r_np, r_mlx, atol=atol, equal_nan=True))
+            self.assertTrue(
+                np.allclose(r_np, r_mlx, atol=atol, rtol=rtol, equal_nan=True)
+            )
 
         x = np.random.rand(9, 12, 18)
         xi = np.random.rand(9, 12, 18)
@@ -1526,34 +1527,34 @@ class TestOps(mlx_tests.MLXTestCase):
 
         for op in all_fwd_ops:
             with self.subTest(op=op):
-                float_dtypes = [("float16", 1e-3), ("float32", 1e-6)]
+                float_dtypes = [("float16", 1e-3, 1e-3), ("float32", 1e-6, 1e-5)]
 
-                for dtype, atol in float_dtypes:
+                for dtype, atol, rtol in float_dtypes:
                     with self.subTest(dtype=dtype):
                         x_ = x.astype(getattr(np, dtype))
                         y_ = mx.array(x_)
-                        test_ops(getattr(np, op), getattr(mx, op), x_, y_, atol)
+                        test_ops(getattr(np, op), getattr(mx, op), x_, y_, atol, rtol)
 
             with self.subTest(op=op):
-                float_dtypes = [("complex64", 1e-5)]
-
-                for dtype, atol in float_dtypes:
-                    with self.subTest(dtype=dtype):
-                        x_ = x + 1.0j * xi
-                        x_ = x_.astype(getattr(np, dtype))
-                        y_ = mx.array(x_)
-                        test_ops(getattr(np, op), getattr(mx, op), x_, y_, atol)
+                dtype = "complex64"
+                with self.subTest(dtype=dtype):
+                    x_ = x + 1.0j * xi
+                    x_ = x_.astype(getattr(np, dtype))
+                    y_ = mx.array(x_)
+                    test_ops(getattr(np, op), getattr(mx, op), x_, y_, 1e-5, 1e-5)
 
             with self.subTest(op="arc" + op):
-                float_dtypes = [("float16", 1e-3), ("float32", 1e-6)]
+                float_dtypes = [("float16", 1e-3, 1e-3), ("float32", 1e-6, 1e-5)]
                 op_inv = "arc" + op
 
-                for dtype, atol in float_dtypes:
+                for dtype, atol, rtol in float_dtypes:
                     with self.subTest(dtype=dtype):
                         np_op_fwd = getattr(np, op)
                         x_ = np_op_fwd(x).astype(getattr(np, dtype))
                         y_ = mx.array(x_)
-                        test_ops(getattr(np, op_inv), getattr(mx, op_inv), x_, y_, atol)
+                        test_ops(
+                            getattr(np, op_inv), getattr(mx, op_inv), x_, y_, atol, rtol
+                        )
 
         # Test grads
         np_vjp_funcs = {
@@ -1579,11 +1580,10 @@ class TestOps(mlx_tests.MLXTestCase):
                     x_ = x.astype(np.float32)
                     y_ = mx.array(x_)
                     op_ = op
-                    atol_ = 1e-5
 
                     np_vjp = lambda x: np_vjp_funcs[op_](primal_np, x)
                     mx_vjp = lambda x: mx.vjp(getattr(mx, op_), [primal_mx], [x])[1][0]
-                    test_ops(np_vjp, mx_vjp, x_, y_, atol_)
+                    test_ops(np_vjp, mx_vjp, x_, y_, 1e-5, 1e-5)
 
                 with self.subTest(op="arc" + op):
                     np_op_fwd = getattr(np, op)
@@ -1599,11 +1599,10 @@ class TestOps(mlx_tests.MLXTestCase):
                     x_ = x.astype(np.float32)
                     y_ = mx.array(x_)
                     op_ = "arc" + op
-                    atol_ = 1e-5
 
                     np_vjp = lambda x: np_vjp_funcs[op_](primal_np, x)
                     mx_vjp = lambda x: mx.vjp(getattr(mx, op_), [primal_mx], [x])[1][0]
-                    test_ops(np_vjp, mx_vjp, x_, y_, atol_)
+                    test_ops(np_vjp, mx_vjp, x_, y_, 1e-5, 1e-5)
 
     def test_binary_ops(self):
         def test_ops(npop, mlxop, x1, x2, y1, y2, atol):