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					@ -85,11 +85,6 @@ def concat(x, axis=0, name=None):
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					        name (str, optional): The default value is None. Normally there is no
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					            need for user to set this property. For more information, please
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					            refer to :ref:`api_guide_Name`.
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					    Raises:
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					        TypeError: ``x`` must be list or tuple.
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					        TypeError: The data type of ``x`` must be one of bool, float16, float32, float64, int32 and int64. 
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					        TypeError: The ``axis`` must be int or Tensor. The dtype of ``axis`` must be int32 or int64 when it's a Tensor.
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					        TypeError: All the Tensors in ``x`` must have the same data type.
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					    Returns:
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					        Tensor: A Tensor with the same data type as ``x``.
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					@ -474,10 +469,7 @@ def split(x, num_or_sections, axis=0, name=None):
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					            For more information, please refer to :ref:`api_guide_Name` .
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					    Returns:
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					        list(Tensor): The list of segmented Tensors.
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					    Raises:
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					        TypeError: The data type of ``x`` must be one of bool, float16, float32, float64, int32, int64.
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					        TypeError: ``num_or_sections`` is not int, list or tuple.
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					        TypeError: ``axis`` is not int or Tensor. the data type of ``axis`` must be int32 or int64 when it's a Tensor.
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					    Example:
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					        .. code-block:: python
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					@ -796,11 +788,6 @@ def gather(x, index, axis=None, name=None):
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					    Returns:
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					        output (Tensor): The output is a tensor with the same rank as ``x``.
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					    Raises:
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					        TypeError: ``x`` must be a Tensor and the data type of ``x`` must to be one of float16, float32, float64, int32, int64, uint8.
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					        TypeError: ``index`` must be a Tensor and the data type of ``index`` must be int32 or int64.
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					        TypeError: ``axis`` must be a Tensor or int and the data type of ``index`` must be int32 or int64 when it's a Tensor.
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					    Examples:
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					        .. code-block:: python
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					@ -1002,10 +989,7 @@ def chunk(x, chunks, axis=0, name=None):
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					            For more information, please refer to :ref:`api_guide_Name` .
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					    Returns:
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					        list(Tensor): The list of segmented Tensors.
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					    Raises:
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					        TypeError: The data type of ``x`` must be one of bool, float16, float32, float64, int32, int64.
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					        TypeError: ``chunks`` is not int.
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					        TypeError: ``axis`` is not int or Tensor. the data type of ``axis`` must be int32 or int64 when it's a Tensor.
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					    Example:
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					        .. code-block:: python
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					@ -1290,11 +1274,6 @@ def reshape(x, shape, name=None):
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					    Returns:
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					        Tensor: A reshaped Tensor with the same data type as ``x``.
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					    Raises:
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					        ValueError: If more than one elements of ``shape`` is -1.
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					        ValueError: If the element of ``shape`` is 0, the corresponding dimension should be less than or equal to the dimension of ``x``.
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					        ValueError: If the elements in ``shape`` is negative except -1.
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					    Examples:
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					        .. code-block:: python
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					@ -1381,10 +1360,6 @@ def gather_nd(x, index, name=None):
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					    Returns:
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					        output (Tensor): A tensor with the shape index.shape[:-1] + input.shape[index.shape[-1]:]
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					    Raises:
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					        TypeError: ``x`` must be a Tensor and the data type of ``x`` must be one of float32, float64, int32 and int64.
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					        TypeError: ``index`` must be a Tensor and the data type of ``index`` must be one of int32 and int64.
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					    Examples:
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					        .. code-block:: python
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