15 def printVector(f, ft, vector, name):  argument
21         ft.write('{}'.format(min(127, int(round(256*v[i])))))
26         ft.write(" ")
33     ft.write("\n")
36 def printLayer(f, ft, layer):  argument
40         ft.write('{} {} '.format(weights[0].shape[0], weights[0].shape[1]/3))
42         ft.write('{} {} '.format(weights[0].shape[0], weights[0].shape[1]))
44         ft.write('1\n')
46         ft.write('2\n')
48         ft.write('0\n')
49     printVector(f, ft, weights[0], layer.name + '_weights')
51         printVector(f, ft, weights[1], layer.name + '_recurrent_weights')
52     printVector(f, ft, weights[-1], layer.name + '_bias')
83 ft = open(sys.argv[3], 'w')  variable
87 ft.write('rnnoise-nu model file version 1\n')
92         printLayer(f, ft, layer)