code: def __init__(self, dim, hidden_size):
      super(Context2AnswerAttention, self).__init__()
      self.linear_sim = nn.Linear(dim, hidden_size, bias=False)
  
file_path: graph4nlp/examples/pytorch/question_generation/fused_embedding_construction.py
imports: import torch
  import torch.nn
  from graph4nlp.pytorch.data.data import from_batch
  from graph4nlp.pytorch.modules.graph_embedding_initialization.embedding_construction import BertEmbedding, EmbeddingConstructionBase, RNNEmbedding, WordEmbedding
  from graph4nlp.pytorch.modules.utils import constants
  from graph4nlp.pytorch.modules.utils.generic_utils import dropout_fn
label_desc: Use image node_id 1 to create a new Context2AnswerAttention object from inherited base classes: nn with example: obj = Context2AnswerAttention(dim, hidden_size)