def __init__()

in code/colored_mnist/main.py [0:0]

• 12 lines of code
• 3 McCabe index (conditional complexity)

    def __init__(self):
      super(MLP, self).__init__()
      if flags.grayscale_model:
        lin1 = nn.Linear(14 * 14, flags.hidden_dim)
      else:
        lin1 = nn.Linear(2 * 14 * 14, flags.hidden_dim)
      lin2 = nn.Linear(flags.hidden_dim, flags.hidden_dim)
      lin3 = nn.Linear(flags.hidden_dim, 1)
      for lin in [lin1, lin2, lin3]:
        nn.init.xavier_uniform_(lin.weight)
        nn.init.zeros_(lin.bias)
      self._main = nn.Sequential(lin1, nn.ReLU(True), lin2, nn.ReLU(True), lin3)