def METHOD_NAME():
    local_w = dict()
    local_w["linear.weight"] = torch.FloatTensor(
        [[0, 0, 0], [0.2, 0.2, 0.2], [0.1, 0.1, 0.1]]
    )
    local_w["linear.bias"] = torch.FloatTensor([0, 0, 0.1])
    global_w = collections.OrderedDict()
    global_w["linear.weight"] = torch.FloatTensor(
        [[0.3, 0.1, 0.1], [0.5, 0.5, 0.5], [0.2, 0.2, 0.2]]
    )
    global_w["linear.bias"] = torch.FloatTensor([0.1, 0.1, 0.1])
    return local_w, global_w