!11374 doc fix for SparseApplyProximalAdagrad

From: @peilin-wang
Reviewed-by: @robingrosman,@tom__chen
Signed-off-by: @robingrosman

mindspore/ops/operations/nn_ops.py

@@ -5340,25 +5340,26 @@ class SparseApplyProximalAdagrad(PrimitiveWithCheck):
         ...     def __init__(self):
         ...         super(Net, self).__init__()
         ...         self.sparse_apply_proximal_adagrad = ops.SparseApplyProximalAdagrad()
-        ...         self.var = Parameter(Tensor(np.random.rand(1, 2).astype(np.float32)), name="var")
-        ...         self.accum = Parameter(Tensor(np.random.rand(1, 2).astype(np.float32)), name="accum")
-        ...         self.lr = 0.01
-        ...         self.l1 = 0.0
+        ...         self.var = Parameter(Tensor(np.array([[4.1, 7.2], [1.1, 3.0]], np.float32)), name="var")
+        ...         self.accum = Parameter(Tensor(np.array([[0, 0], [0, 0]], np.float32)), name="accum")
+        ...         self.lr = 1.0
+        ...         self.l1 = 1.0
         ...         self.l2 = 0.0
         ...     def construct(self, grad, indices):
         ...         out = self.sparse_apply_proximal_adagrad(self.var, self.accum, self.lr, self.l1,
         ...                                                  self.l2, grad, indices)
         ...         return out
         ...
-        >>> np.random.seed(0)
         >>> net = Net()
-        >>> grad = Tensor(np.random.rand(1, 2).astype(np.float32))
-        >>> indices = Tensor(np.ones((1,), np.int32))
+        >>> grad = Tensor(np.array([[1, 1], [1, 1]], np.float32))
+        >>> indices = Tensor(np.array([0], np.int32))
         >>> output = net(grad, indices)
         >>> print(output)
-        (Tensor(shape=[1, 2], dtype=Float32, value=
-        [[ 5.48813522e-01,  7.15189338e-01]]), Tensor(shape=[1, 2], dtype=Float32, value=
-        [[ 6.02763355e-01,  5.44883192e-01]]))
+        (Tensor(shape=[2, 2], dtype=Float32, value=
+        [[ 2.97499990e+00,  6.07499981e+00],
+         [ 0.00000000e+00,  1.87500000e+00]]), Tensor(shape=[2, 2], dtype=Float32, value=
+        [[ 6.40000000e+01,  6.40000000e+01],
+         [ 6.40000000e+01,  6.40000000e+01]]))
     """
 
     __mindspore_signature__ = (