diff --git a/paddle/phi/kernels/impl/lu_kernel_impl.h b/paddle/phi/kernels/impl/lu_kernel_impl.h
index ed3cc0801d9af5..1b65ac87e075b1 100644
--- a/paddle/phi/kernels/impl/lu_kernel_impl.h
+++ b/paddle/phi/kernels/impl/lu_kernel_impl.h
@@ -516,6 +516,14 @@ DenseTensor Transpose2DTo6D(const Context& dev_ctx, const DenseTensor& x) {
   auto x_dim = x.dims();
   auto x_vec = phi::vectorize<int>(x_dim);
   int rank = x_vec.size();
+
+  for (int i = 0; i < x_dim.size(); i++) {
+    PADDLE_ENFORCE_LT(0,
+                      x_dim[i],
+                      errors::InvalidArgument(
+                          "The dims of Input(X) should be greater than 0."));
+  }
+
   std::swap(x_vec[rank - 1], x_vec[rank - 2]);
   std::vector<int> out_shape = x_vec;
   std::vector<int> axis(rank);
diff --git a/python/paddle/fluid/tests/unittests/test_lu_op.py b/python/paddle/fluid/tests/unittests/test_lu_op.py
index 790ebb36f6d7c2..3e083c76b71df5 100644
--- a/python/paddle/fluid/tests/unittests/test_lu_op.py
+++ b/python/paddle/fluid/tests/unittests/test_lu_op.py
@@ -303,6 +303,20 @@ def run_lu_static(shape, dtype):
             run_lu_static(tensor_shape, dtype)
 
 
+class TestLUAPIError(unittest.TestCase):
+    def test_errors(self):
+        with paddle.fluid.dygraph.guard():
+            # The size of input in lu should not be 0.
+            def test_0_size():
+                array = np.array([], dtype=np.float32)
+                x = paddle.to_tensor(
+                    np.reshape(array, [0, 0, 0]), dtype='float32'
+                )
+                paddle.linalg.lu(x, get_infos=True)
+
+            self.assertRaises(ValueError, test_0_size)
+
+
 if __name__ == "__main__":
     paddle.enable_static()
     unittest.main()