code: def load_model_from_graph_def_load_and_forward(nnp_file, batch_size):
      graph = nn.graph_def.load(nnp_file, batch_size=batch_size)
      y = graph()
      inputs = [
          graph.default_graph().variables[i].variable_instance
          for i in graph.default_graph().inputs
      ]
      for i in inputs:
          i.d = np.random.random(i.d.shape)
      y.forward()
      return y.d
  
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 13 for calling a global function with example usage: load_model_from_graph_def_load_and_forward(nnp_file, batch_size) and returns: y