PaddlePaddle
diff --git a/‎paddle/fluid/operators/sequence_ops/sequence_reverse_op.cc
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-33Lines changed: 0 additions & 33 deletions b/‎paddle/fluid/operators/sequence_ops/sequence_reverse_op.cc
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-33Lines changed: 0 additions & 33 deletions
diff --git a/‎paddle/fluid/operators/sequence_ops/sequence_reverse_op.cu
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-26Lines changed: 0 additions & 26 deletions b/‎paddle/fluid/operators/sequence_ops/sequence_reverse_op.cu
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-26Lines changed: 0 additions & 26 deletions
diff --git a/‎paddle/fluid/operators/sequence_ops/sequence_reverse_op.h
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-199Lines changed: 0 additions & 199 deletions b/‎paddle/fluid/operators/sequence_ops/sequence_reverse_op.h
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-199Lines changed: 0 additions & 199 deletions
diff --git a/‎python/paddle/static/nn/__init__.py
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-2Lines changed: 0 additions & 2 deletions b/‎python/paddle/static/nn/__init__.py
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diff --git a/‎python/paddle/static/nn/sequence_lod.py
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-69Lines changed: 0 additions & 69 deletions b/‎python/paddle/static/nn/sequence_lod.py
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-69Lines changed: 0 additions & 69 deletions
@@ -46,7 +46,6 @@
     sequence_pad,
     sequence_pool,
     sequence_reshape,
-    sequence_reverse,
     sequence_scatter,
     sequence_slice,
     sequence_softmax,
@@ -92,6 +91,5 @@
     'sequence_reshape',
     'sequence_scatter',
     'sequence_enumerate',
-    'sequence_reverse',
     'prelu',
 ]
@@ -1343,72 +1343,3 @@ def sequence_mask(x, maxlen=None, dtype='int64', name=None):
     """
 
     return paddle.nn.functional.sequence_mask(x, maxlen, dtype, name)
-
-
-@templatedoc()
-def sequence_reverse(x, name=None):
-    """
-    Note:
-        Only receives Tensor as input. If your input is Tensor, please use reverse Op.(static.nn.** :ref:`api_paddle_flip` ).
-
-    Only supports Tensor as input. It will reverse each sequence for input Tensor.
-    Currently it only supports 1-level Tensor. This operator is very useful when building a
-    reverse :ref:`api_paddle_nn_RNN` network.
-
-    .. code-block:: text
-
-        input(x) is a Tensor:
-            x.lod  = [[0, 2, 5]]
-            x.data = [[1,  2,  3,  4],
-                      [5,  6,  7,  8],
-                      [9, 10, 11, 12],
-                      [13,14, 15, 16],
-                      [17,18, 19, 20]]
-            x.shape = [5, 4]
-
-        output Tensor with same shape and LoD info:
-            out.lod  = [[0, 2, 5]]
-            out.data = [[5,  6,  7,  8],
-                        [1,  2,  3,  4],
-                        [17,18, 19, 20],
-                        [13,14, 15, 16],
-                        [9, 10, 11, 12]]
-            out.shape = [5, 4]
-
-    Args:
-        x(Tensor): Tensor with 1-level LoD info. Currently it only supports 1-level Tensor.
-            The data type should be float32, float64, int8, int32 or int64.
-        name(str, optional): The default value is None.  Normally there is no need for user to set this property.
-            For more information, please refer to :ref:`api_guide_Name` .
-
-    Returns:
-        Tensor: Tensor reversed from input. The data type is same with input.
-
-    Examples:
-        .. code-block:: python
-
-            >>> import paddle
-            >>> paddle.enable_static()
-
-            >>> x = paddle.static.data(name='x', shape=[None, 10], dtype='float32', lod_level=1)
-            >>> x_reversed = paddle.static.nn.sequence_reverse(x)
-    """
-    assert (
-        not in_dygraph_mode()
-    ), "sequence layer is not supported in dygraph mode yet."
-    helper = LayerHelper("sequence_reverse", **locals())
-    check_variable_and_dtype(
-        x,
-        'x',
-        ['float32', 'float64', 'int8', 'int32', 'int64'],
-        'static.nn.sequence_reverse',
-    )
-    out = helper.create_variable_for_type_inference(dtype=x.dtype)
-
-    helper.append_op(
-        type="sequence_reverse",
-        inputs={"X": x},
-        outputs={"Y": out},
-        attrs={},
-    )
-    return out