parameters: (shape, dtype=None, name=None)
return_statement: return fill_constant(value=0.0, shape=shape, dtype=dtype, name=name)
docstring: The OP creates a tensor of specified :attr:`shape` and :attr:`dtype`, and fills it with 0.
  
      Args:
          shape(tuple|list|Tensor): Shape of the Tensor to be created, the data type of ``shape`` is int32 or int64.
          dtype(np.dtype|str, optional): Data type of output Tensor, it supports
              bool, float16, float32, float64, int32 and int64. Default: if None, the date type is float32.
          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: A tensor of data type :attr:`dtype` with shape :attr:`shape` and all elements set to 0.
  
      Examples:
          .. code-block:: python
  
            import paddle
            
            data = paddle.zeros(shape=[3, 2], dtype='float32') 
            # [[0. 0.]
            #  [0. 0.]
            #  [0. 0.]]
            data = paddle.zeros(shape=[2, 2]) 
            # [[0. 0.]
            #  [0. 0.]]
            
            # shape is a Tensor
            shape = paddle.full(shape=[2], dtype='int32', fill_value=2)
            data3 = paddle.zeros(shape=shape, dtype='int32') 
            # [[0 0]
            #  [0 0]]
docstring_summary: The OP creates a tensor of specified :attr:`shape` and :attr:`dtype`, and fills it with 0.
docstring_tokens: The OP creates a tensor of specified : attr : shape and : attr : dtype and fills it with 0 .
function: def zeros(shape, dtype=None, name=None):
      """
      The OP creates a tensor of specified :attr:`shape` and :attr:`dtype`, and fills it with 0.
  
      Args:
          shape(tuple|list|Tensor): Shape of the Tensor to be created, the data type of ``shape`` is int32 or int64.
          dtype(np.dtype|str, optional): Data type of output Tensor, it supports
              bool, float16, float32, float64, int32 and int64. Default: if None, the date type is float32.
          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: A tensor of data type :attr:`dtype` with shape :attr:`shape` and all elements set to 0.
  
      Examples:
          .. code-block:: python
  
            import paddle
            
            data = paddle.zeros(shape=[3, 2], dtype='float32') 
            # [[0. 0.]
            #  [0. 0.]
            #  [0. 0.]]
            data = paddle.zeros(shape=[2, 2]) 
            # [[0. 0.]
            #  [0. 0.]]
            
            # shape is a Tensor
            shape = paddle.full(shape=[2], dtype='int32', fill_value=2)
            data3 = paddle.zeros(shape=shape, dtype='int32') 
            # [[0 0]
            #  [0 0]]
      """
      if dtype is None:
          dtype = 'float32'
      return fill_constant(value=0.0, shape=shape, dtype=dtype, name=name)
function_tokens: def zeros ( shape , dtype = None , name = None ) : if dtype is None : dtype = 'float32' return fill_constant ( value = 0.0 , shape = shape , dtype = dtype , name = name )