class_docstr: Like `nn.Sequential`, but with ModuleList semantics, and can access module input
class_docstr_tok: ["Like","`","nn.Sequential","`",",","but","with","ModuleList","semantics",",","and","can","access","module","input"]
code: def __init__(self, *layers):
      super().__init__()
      self.layers = nn.LayerList(layers)
  
imports: import numpy
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddle.vision.models import resnet101
  from .None import utils
label_desc: Use image node_id 1 to create a new SequentialEx object from inherited base classes: nn with example: obj = SequentialEx()