def compute_dummy_loss()

in adaptive_io.py [0:0]

• 9 lines of code
• 6 McCabe index (conditional complexity)

def compute_dummy_loss(in_emb, out_emb):
    # hack to fix adaptive ou/in with distributed code
    dummy_loss =  0 * (
        sum(x.weight[0, 0] for x in in_emb.emb_layers) +
        sum(x[0, 0] for x in in_emb.emb_projs) +
        sum(x[0, 0] for x in out_emb.out_projs) +
        sum(x.weight[0, 0] for x in out_emb.out_layers) +
        sum(x.bias[0] for x in out_emb.out_layers)
    )
    return dummy_loss