code: def __init__(self, input_size, output_size, n_layers=3):
      super(NGCF_Layer, self).__init__()
      self.n_layers = n_layers
      self.ngcfs = nn.LayerList()
      for i in range(n_layers):
          self.ngcfs.append(pgl.nn.NGCFConv(input_size, output_size))
  
imports: import paddle
  import paddle.nn
  from dataloader import BasicDataset
  import numpy
  import paddle
  import paddle.nn
  import paddle.nn.functional
  import pgl
  from pgl.nn import functional
  from tqdm import tqdm
label_desc: Use image node_id 1 to create a new NGCF_Layer object from inherited base classes: nn with example: obj = NGCF_Layer(input_size, output_size, n_layers)