code: def __init__(self, encoder_layer, num_layers):
      super().__init__()
      self.layers = nn.LayerList(
          [copy.deepcopy(encoder_layer) for _ in range(num_layers)]
      )
      self.num_layers = num_layers
  
imports: import copy
  import numpy
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg.cvlibs import param_init
  from paddlepanseg.models.param_init import c2_xavier_fill, THLinearInitMixin
  from .common import Conv2D, PositionEmbeddingSine
  from ._ms_deform_attn import MSDeformAttn
label_desc: Use image node_id 1 to create a new MSDeformAttnTransformerEncoder object from inherited base classes: nn with example: obj = MSDeformAttnTransformerEncoder(encoder_layer, num_layers)