Fix the bug of assigning large integer to NDArray

src/operator/tensor/matrix_op-inl.h

@@ -992,7 +992,7 @@ void SliceAssignOpForward(const nnvm::NodeAttrs& attrs,
 }
 
 struct SliceAssignScalarParam : public dmlc::Parameter<SliceAssignScalarParam> {
-  real_t scalar;
+  double scalar;
   nnvm::Tuple<dmlc::optional<int>> begin, end;
   nnvm::Tuple<dmlc::optional<int>> step;
   DMLC_DECLARE_PARAMETER(SliceAssignScalarParam) {

tests/python/unittest/test_ndarray.py

@@ -1355,6 +1355,17 @@ def test_assign_float_value_to_ndarray():
     b[0] = a[0]
     assert same(a, b.asnumpy())
 
+def test_assign_large_int_to_ndarray():
+    """Test case from https://github.com/apache/incubator-mxnet/issues/11639"""
+    a = mx.nd.zeros((4, 1), dtype=np.int32)
+    a[1,0] = int(16800001)
+    a[2,0] = int(16800002)
+    b = a.asnumpy()
+    assert same(b[1,0], 16800001)
+    a = a-1
+    b = a.asnumpy()
+    assert same(b[1,0], 16800000)
+
 @with_seed()
 def test_assign_a_row_to_ndarray():
     """Test case from https://github.com/apache/incubator-mxnet/issues/9976"""