!8310 fix example of categorical and rnntloss

From: @yanzhenxiang2020
Reviewed-by: @c_34
Signed-off-by: @c_34

mindspore/ops/operations/array_ops.py

@@ -4154,8 +4154,8 @@ class Meshgrid(PrimitiveWithInfer):
 
     Args:
         indexing (str): Either 'xy' or 'ij'. Default: 'xy'.
-        When the indexing argument is set to 'xy' (the default),
-        the broadcasting instructions for the first two dimensions are swapped.
+          When the indexing argument is set to 'xy' (the default), the broadcasting
+          instructions for the first two dimensions are swapped.
 
     Inputs:
         - **input_x** (Union[tuple, list]) - A Tuple or list of N 1-D Tensor objects.
@@ -4170,7 +4170,8 @@ class Meshgrid(PrimitiveWithInfer):
         >>> z = np.array([8, 9, 0, 1, 2]).astype(np.int32)
         >>> inputs = (x, y, z)
         >>> meshgrid = ops.Meshgrid(indexing="xy")
-        >>> meshgrid(inputs)
+        >>> output = meshgrid(inputs)
+        >>> print(output)
         (Tensor(shape=[3, 4, 6], dtype=UInt32, value=
          [[[1, 1, 1, 1, 1],
           [2, 2, 2, 2, 2],

mindspore/ops/operations/nn_ops.py

@@ -2261,8 +2261,17 @@ class RNNTLoss(PrimitiveWithInfer):
         >>> labels = np.array([[1, 2]]).astype(np.int32)
         >>> input_length = np.array([T] * B).astype(np.int32)
         >>> label_length = np.array([len(l) for l in labels]).astype(np.int32)
-        >>> rnnt_loss = ops.RNNTLoss(blank_label=blank)
+        >>> rnnt_loss = ops.RNNTLoss(blank_label=0)
         >>> costs, grads = rnnt_loss(Tensor(acts), Tensor(labels), Tensor(input_length), Tensor(label_length))
+        >>> print(costs)
+        [-3.5036912]
+        >>> print(grads)
+        [[[[-0.35275543 -0.64724463 0.          0.          0.         ]
+           [-0.19174816 0.          -0.45549652 0.          0.         ]
+           [-0.45549664 0.          0.          0.          0.         ]]
+          [[0.          -0.35275543 0.          0.          0.         ]
+           [0.          0.          -0.5445037  0.          0.         ]
+           [-1.00000002 0.          0.          0.          0.         ]]]]
     """
 
     @prim_attr_register

tests/st/ops/ascend/test_aicpu_ops/test_ctc_greedy_decoder.py

@@ -52,7 +52,7 @@ def test_net_assert():
     out_expect0 = np.array([0, 0, 0, 1, 1, 0]).reshape(3, 2)
     out_expect1 = np.array([0, 1, 1])
     out_expect2 = np.array([2, 2])
-    out_expect3 = np.array([-0.7443749, 0.18251707]).reshape(2, 1)
+    out_expect3 = np.array([-0.7443749, 0.18251707]).astype(np.float32).reshape(2, 1)
     assert np.array_equal(output[0].asnumpy(), out_expect0)
     assert np.array_equal(output[1].asnumpy(), out_expect1)
     assert np.array_equal(output[2].asnumpy(), out_expect2)