code: def load_model_from_utils_load_and_forward(nnp_file, batch_size):
      g = load.load(nnp_file, batch_size=batch_size).proto_graph
      inputs = [
          g.default_graph().variables[i].variable_instance
          for i in g.default_graph().inputs
      ]
      for i in inputs:
          i.d = np.random.random(i.d.shape)
      outputs = [
          g.default_graph().variables[i].variable_instance
          for i in g.default_graph().outputs
      ]
      y = F.sink(*outputs)
      y.forward()
      out = outputs[0].d
      return out
  
imports: import pytest
  import numpy
  import nnabla
  import nnabla.functions
  import nnabla.parametric_functions
  from nnabla.utils import load
  from nnabla.utils import save
  from nnabla.utils import nnp_graph
  from helper import forward_variable, create_temp_with_dir
label_desc: Use image node_id 12 for calling a global function with example usage: load_model_from_utils_load_and_forward(nnp_file, batch_size) and returns: out