code: def load_model_from_nnp_graph_and_forward(nnp_file, batch_size):
      nnp = nnp_graph.NnpLoader(nnp_file)
      network = nnp.get_network(
          nnp.get_network_names()[0], batch_size=batch_size
      )
      inputs = list(network.inputs.values())
      outputs = list(network.outputs.values())
      out = []
      for d in forward_variable(inputs, outputs, "left"):
          out.append(d)
      return 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 14 for calling a global function with example usage: load_model_from_nnp_graph_and_forward(nnp_file, batch_size) and returns: d