class_docstr: Model to test multiple dict input/output
class_docstr_tok: ["Model","to","test","multiple","dict","input\/output"]
code: def forward(self, x):
      return {
          out_k: self.inputs[in_k](x[in_k])
          for in_k, out_k in zip(self.input_keys, self.output_keys)
      }
  
imports: import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from poutyne import Model
  from tests.framework.model.base import ModelFittingTestCase
label_desc: Use image node_id 2 for calling the DictIOModel obj's underlying member method code with example usage: obj.forward(x) and returns: unknown