diff --git a/mindspore/nn/wrap/__init__.py b/mindspore/nn/wrap/__init__.py
index 76840c5603c..09ea8fca6d7 100644
--- a/mindspore/nn/wrap/__init__.py
+++ b/mindspore/nn/wrap/__init__.py
@@ -21,8 +21,10 @@ from .cell_wrapper import TrainOneStepCell, WithLossCell, WithGradCell, WithEval
      ParameterUpdate, GetNextSingleOp, VirtualDatasetCellTriple
 from .loss_scale import TrainOneStepWithLossScaleCell, DynamicLossScaleUpdateCell, FixedLossScaleUpdateCell
 from .grad_reducer import DistributedGradReducer
+from ..layer.timedistributed import TimeDistributed
 
 __all__ = [
+    "TimeDistributed",
     "TrainOneStepCell",
     "WithLossCell",
     "WithGradCell",
diff --git a/mindspore/ops/operations/other_ops.py b/mindspore/ops/operations/other_ops.py
index 05140d4bd22..6b792dd6320 100644
--- a/mindspore/ops/operations/other_ops.py
+++ b/mindspore/ops/operations/other_ops.py
@@ -128,13 +128,13 @@ class BoundingBoxEncode(PrimitiveWithInfer):
         ``Ascend`` ``GPU``
 
     Examples:
-        >>> anchor_box = Tensor([[4, 1, 2, 1], [2, 2, 2, 3]], mindspore.float32)
-        >>> groundtruth_box = Tensor([[3, 1, 2, 2], [1, 2, 1, 4]], mindspore.float32)
+        >>> anchor_box = Tensor([[2, 2, 2, 3], [2, 2, 2, 3]], mindspore.float32)
+        >>> groundtruth_box = Tensor([[1, 2, 1, 4], [1, 2, 1, 4]], mindspore.float32)
         >>> boundingbox_encode = ops.BoundingBoxEncode(means=(0.0, 0.0, 0.0, 0.0), stds=(1.0, 1.0, 1.0, 1.0))
         >>> output = boundingbox_encode(anchor_box, groundtruth_box)
         >>> print(output)
-        [[ 5.0000000e-01  5.0000000e-01 -6.5504000e+04  6.9335938e-01]
-         [-1.0000000e+00  2.5000000e-01  0.0000000e+00  4.0551758e-01]]
+        [[ －1.  0.25  0.  0.40551758]
+         [ －1.  0.25  0.  0.40551758]]
     """
 
     @prim_attr_register