class_docstr: Model to test multiple dictionnary output
class_docstr_tok: ["Model","to","test","multiple","dictionnary","output"]
code: def __init__(self):
      super().__init__()
      self.input = nn.Linear(1, 1)
      self.output1 = nn.Linear(1, 1)
      self.output2 = nn.Linear(1, 1)
  
file_path: poutyne/tests/framework/model/test_dict_output.py
imports: import numpy
  import torch
  import torch.nn
  from poutyne import Model
  from tests.framework.model.base import ModelFittingTestCase
label_desc: Use image node_id 1 to create a new DictOutputModel object from inherited base classes: nn with example: obj = DictOutputModel()