code: def __init__(self, dictionary):
      super().__init__()
      self.encoder = UnigramEncoder()
      self.decoder = UnigramDecoder()
      self.v = len(dictionary)
      self.p = nn.Parameter(torch.zeros(self.v))
  
file_path: ParlAI/parlai/agents/test_agents/unigram.py
imports: import torch
  import torch.nn
  from parlai.core.torch_generator_agent import TorchGeneratorAgent, TorchGeneratorModel
label_desc: Use image node_id 1 to create a new UnigramModel object from inherited base classes: TorchGeneratorModel with example: obj = UnigramModel(dictionary)