code: def __init__(self, emb_dim: int):
      super().__init__()
      self.embs = torch.nn.ModuleList(
          [torch.nn.Embedding(2, emb_dim) for _ in range(args.num_bits)]
      )
  
imports: import argparse
  import torch
  import torch.nn.functional
  from torch import Tensor
  from torch_geometric.data import Data, InMemoryDataset
  from torch_geometric.loader import DataLoader
  from torch_geometric.nn import LCMAggregation
  from torch_geometric.transforms import BaseTransform
label_desc: Use image node_id 1 to create a new BitwiseEmbedding object from inherited base classes: torch.nn with example: obj = BitwiseEmbedding(emb_dim)