parameters: (self)
return_statement: return self._sub_layers.items()
docstring: Return the iterable of the key/value pairs in LayerDict.
  
          Parameters:
              None.
          
          Examples:
              .. code-block:: python
  
                  import paddle
                  from collections import OrderedDict
  
                  sublayers = OrderedDict([
                      ('conv1d', paddle.nn.Conv1D(3, 2, 3)),
                      ('conv2d', paddle.nn.Conv2D(3, 2, 3)),
                      ('conv3d', paddle.nn.Conv3D(4, 6, (3, 3, 3))),
                  ])
  
                  layer_dict = paddle.nn.LayerDict(sublayers=sublayers)
                  for k, v in layer_dict.items():
                      print(k, ":", v)
  
                  #conv1d : Conv1D(3, 2, kernel_size=[3], data_format=NCL)
                  #conv2d : Conv2D(3, 2, kernel_size=[3, 3], data_format=NCHW)
                  #conv3d : Conv3D(4, 6, kernel_size=[3, 3, 3], data_format=NCDHW)
docstring_summary: Return the iterable of the key/value pairs in LayerDict.
docstring_tokens: Return the iterable of the key / value pairs in LayerDict .
function: def items(self):
          """
          Return the iterable of the key/value pairs in LayerDict.
  
          Parameters:
              None.
          
          Examples:
              .. code-block:: python
  
                  import paddle
                  from collections import OrderedDict
  
                  sublayers = OrderedDict([
                      ('conv1d', paddle.nn.Conv1D(3, 2, 3)),
                      ('conv2d', paddle.nn.Conv2D(3, 2, 3)),
                      ('conv3d', paddle.nn.Conv3D(4, 6, (3, 3, 3))),
                  ])
  
                  layer_dict = paddle.nn.LayerDict(sublayers=sublayers)
                  for k, v in layer_dict.items():
                      print(k, ":", v)
  
                  #conv1d : Conv1D(3, 2, kernel_size=[3], data_format=NCL)
                  #conv2d : Conv2D(3, 2, kernel_size=[3, 3], data_format=NCHW)
                  #conv3d : Conv3D(4, 6, kernel_size=[3, 3, 3], data_format=NCDHW)
  
          """
          return self._sub_layers.items()
function_tokens: def items ( self ) : return self . _sub_layers . items ( )