fix error in the example of SparseApplyLazyAdam

mindspore/ops/operations/nn_ops.py

@@ -2938,9 +2938,9 @@ class SparseApplyLazyAdam(PrimitiveWithInfer):
         >>>     def __init__(self):
         >>>         super(Net, self).__init__()
         >>>         self.sparse_apply_lazyadam = P.SparseApplyLazyAdam()
-        >>>         self.var = Parameter(Tensor(np.ones([3, 3, 3]).astype(np.float32)), name="var")
-        >>>         self.m = Parameter(Tensor(np.ones([3, 3, 3]).astype(np.float32)), name="m")
-        >>>         self.v = Parameter(Tensor(np.ones([3, 3, 3]).astype(np.float32)), name="v")
+        >>>         self.var = Parameter(Tensor(np.ones([3, 1, 2]).astype(np.float32)), name="var")
+        >>>         self.m = Parameter(Tensor(np.ones([3, 1, 2]).astype(np.float32)), name="m")
+        >>>         self.v = Parameter(Tensor(np.ones([3, 1, 2]).astype(np.float32)), name="v")
         >>>     def construct(self, beta1_power, beta2_power, lr, beta1, beta2, epsilon, grad, indices):
         >>>         out = self.sparse_apply_lazyadam(self.var, self.m, self.v, beta1_power, beta2_power, lr, beta1,
         >>>                                          beta2, epsilon, grad, indices)