fix(mge): fix advanced indexing grad

GitOrigin-RevId: 8033c9322d

imperative/python/src/grad_override.cpp

@@ -233,7 +233,7 @@ std::optional<ValueRefList> indexingMultiAxisVec_grad_rule(
         const OpDef& op, Span<ValueRef> inputs, Span<bool> inputs_require_grad,
         CustomBackward& backward) {
     auto&& indexingMultiAxisVec = op.cast_final_safe<IndexingMultiAxisVec>();
-    auto&& grad_op = IndexingSetMultiAxisVec::make(indexingMultiAxisVec.items);
+    auto&& grad_op = IndexingIncrMultiAxisVec::make(indexingMultiAxisVec.items);
     SmallVector<ValueRef> inputs2;
     if (inputs_require_grad[0]) {
         inputs2.push_back(get_shape(inputs[0]));

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

@@ -316,7 +316,7 @@ def test_IndexingMultiAxisVec():
 
         def f(x):
             x = x * 1
-            y = x[[0, 2], [0, 2]]
+            y = x[[0, 0, 2, 1], [2, 2, 1, 0]]
             refs["x"] = TensorWeakRef(x)
             return y
 
@@ -326,7 +326,7 @@ def test_IndexingMultiAxisVec():
         grad(y, F.ones_like(y))
 
     np.testing.assert_equal(
-        np.array([[1, 0, 0], [0, 0, 0], [0, 0, 1]], dtype=np.float32), x.grad.numpy()
+        np.array([[0, 0, 2], [1, 0, 0], [0, 1, 0]], dtype=np.float32), x.grad.numpy()
     )