code: def __init__(self, n: int, d_in: int, d_out: int):
      super().__init__()
      self.layers = nn.ModuleList(
          [nn.Linear(d_in, d_out) for _ in range(n)]
      )
  
imports: from typing import List, Optional
  import torch
  from torch import Tensor, nn
  from ..constants import CATEGORICAL, FEATURES, LABEL, LOGITS, NUMERICAL
  from .custom_transformer import CLSToken, Custom_Transformer, _TokenInitialization
  from .utils import init_weights
label_desc: Use image node_id 1 to create a new NLinearMemoryEfficient object from inherited base classes: nn with example: obj = NLinearMemoryEfficient(n, d_in, d_out)