feat(mge/pytest): add more tests for specialized grad rules

GitOrigin-RevId: 509ef5a2205c92c5bec2981249741418e2a88c28

imperative/python/test/unit/core/test_autodiff.py

@@ -259,7 +259,18 @@ def test_reshape():
     x = mge.Tensor(x_np)
 
     grad = Grad().wrt(x, callback=save_to(x))
-    y = x.reshape(5, 2)
+
+    refs = {}
+
+    def f(x):
+        x = x * 1
+        y = x.reshape(5, 2)
+        refs["x"] = TensorWeakRef(x)
+        return y
+
+    y = f(x)
+    for _, r in refs.items():
+        assert r() is None
 
     grad(y, F.ones_like(y))
     np.testing.assert_equal(np.ones((2, 5), dtype=np.float32), x.grad.numpy())
@@ -270,7 +281,18 @@ def test_subtensor():
     x = mge.Tensor(x_np)
 
     grad = Grad().wrt(x, callback=save_to(x))
-    y = x[1:-1, :2]
+
+    refs = {}
+
+    def f(x):
+        x = x * 1
+        y = x[1:-1, :2]
+        refs["x"] = TensorWeakRef(x)
+        return y
+
+    y = f(x)
+    for _, r in refs.items():
+        assert r() is None
 
     grad(y, F.ones_like(y))
     np.testing.assert_equal(
@@ -283,7 +305,18 @@ def test_IndexingMultiAxisVec():
     x = mge.Tensor(x_np)
 
     grad = Grad().wrt(x, callback=save_to(x))
-    y = x[[0, 2], [0, 2]]
+
+    refs = {}
+
+    def f(x):
+        x = x * 1
+        y = x[[0, 2], [0, 2]]
+        refs["x"] = TensorWeakRef(x)
+        return y
+
+    y = f(x)
+    for _, r in refs.items():
+        assert r() is None
 
     grad(y, F.ones_like(y))
     np.testing.assert_equal(
@@ -296,7 +329,18 @@ def test_AxisAddRemove():
     x = mge.Tensor(x_np)
 
     grad = Grad().wrt(x, callback=save_to(x))
-    y = F.squeeze(F.expand_dims(x, 2), 0)
+
+    refs = {}
+
+    def f(x):
+        x = x * 1
+        y = F.squeeze(F.expand_dims(x, 2), 0)
+        refs["x"] = TensorWeakRef(x)
+        return y
+
+    y = f(x)
+    for _, r in refs.items():
+        assert r() is None
 
     grad(y, F.ones_like(y))
     np.testing.assert_equal(
@@ -342,7 +386,18 @@ def test_addAxis():
     x = mge.Tensor(x_np)
 
     grad = Grad().wrt(x, callback=save_to(x))
-    y = F.expand_dims(x, [2, 3])
+
+    refs = {}
+
+    def f(x):
+        x = x * 1
+        y = F.expand_dims(x, [2, 3])
+        refs["x"] = TensorWeakRef(x)
+        return y
+
+    y = f(x)
+    for _, r in refs.items():
+        assert r() is None
 
     grad(y, F.ones_like(y))
     np.testing.assert_equal(np.ones((3, 3), dtype=np.float32), x.grad.numpy())
@@ -353,7 +408,18 @@ def test_removeAxis():
     x = mge.Tensor(x_np)
 
     grad = Grad().wrt(x, callback=save_to(x))
-    y = F.squeeze(x, [2, 3])
+
+    refs = {}
+
+    def f(x):
+        x = x * 1
+        y = F.squeeze(x, [2, 3])
+        refs["x"] = TensorWeakRef(x)
+        return y
+
+    y = f(x)
+    for _, r in refs.items():
+        assert r() is None
 
     grad(y, F.ones_like(y))
     np.testing.assert_equal(np.ones((3, 3, 1, 1), dtype=np.float32), x.grad.numpy())