fix the example of MultiFieldEmbeddingLookup operator.

mindspore/nn/layer/embedding.py

@@ -450,7 +450,7 @@ class MultiFieldEmbeddingLookup(EmbeddingLookup):
         >>> input_indices = Tensor([[2, 4, 6, 0, 0], [1, 3, 5, 0, 0]], mindspore.int32)
         >>> input_values = Tensor([[1, 1, 1, 0, 0], [1, 1, 1, 0, 0]], mindspore.float32)
         >>> field_ids = Tensor([[0, 1, 1, 0, 0], [0, 0, 1, 0, 0]], mindspore.int32)
-        >>> net = nn.MultiFieldEmbeddingLookup(10, 2, field_size=2, operator='SUM')
+        >>> net = nn.MultiFieldEmbeddingLookup(10, 2, field_size=2, operator='SUM', target='DEVICE')
         >>> out = net(input_indices, input_values, field_ids)
         >>> print(out.shape)
         (2, 2, 2)

mindspore/ops/operations/nn_ops.py

@@ -2325,8 +2325,8 @@ class SparseSoftmaxCrossEntropyWithLogits(PrimitiveWithInfer):
 
     Raises:
         TypeError: If `is_grad` is not a bool.
-        TypeError: If dtype of `logits' is neither float16 nor float32.
-        TypeError: If dtype of `labels' is neither int32 nor int64.
+        TypeError: If dtype of `logits` is neither float16 nor float32.
+        TypeError: If dtype of `labels` is neither int32 nor int64.
         ValueError: If logits_shape[0] != labels_shape[0].
 
     Supported Platforms: