class_docstr: A general wrapper class for a stacking multiple NN layers.
  
  Args:
      name (str): The registered name of the layer.
      layer_config (LayerConfig): The configuration of the layer.
      **kwargs (optional): Additional keyword arguments.
class_docstr_tok: ["A","general","wrapper","class","for","a","stacking","multiple","NN","layers",".","Args",":","name","(","str",")",":","The","registered","name","of","the","layer",".","layer_config","(","LayerConfig",")",":","The","configuration","of","the","layer",".","*","*","kwargs","(","optional",")",":","Additional","keyword","arguments","."]
code: def forward(self, batch):
      for layer in self.children():
          batch = layer(batch)
      return batch
  
imports: import copy
  from dataclasses import dataclass, replace
  import torch
  import torch.nn.functional
  import torch_geometric
  import torch_geometric.graphgym.models.act
  import torch_geometric.graphgym.register
  from torch_geometric.graphgym.contrib.layer.generalconv import GeneralConvLayer, GeneralEdgeConvLayer
  from torch_geometric.graphgym.register import register_layer
  from torch_geometric.nn import Linear
label_desc: Use image node_id 2 for calling the GeneralMultiLayer obj's underlying member method code with example usage: obj.forward(batch) and returns: batch