运行环境：%tensorflow_version 1.x

1.参数解析出错

源代码：

def parse_args():
    parser = argparse.ArgumentParser(description="Run MLP.")
    parser.add_argument('--path', nargs='?', default='Data/',
                        help='Input data path.')
    parser.add_argument('--dataset', nargs='?', default='ml-1m',
                        help='Choose a dataset.')
    parser.add_argument('--epochs', type=int, default=100,
                        help='Number of epochs.')
    parser.add_argument('--batch_size', type=int, default=256,
                        help='Batch size.')
    parser.add_argument('--layers', nargs='?', default='[64,32,16,8]',
                        help="Size of each layer. Note that the first layer is the concatenation of user and item embeddings. So layers[0]/2 is the embedding size.")
    parser.add_argument('--reg_layers', nargs='?', default='[0,0,0,0]',
                        help="Regularization for each layer")
    parser.add_argument('--num_neg', type=int, default=4,
                        help='Number of negative instances to pair with a positive instance.')
    parser.add_argument('--lr', type=float, default=0.001,
                        help='Learning rate.')
    parser.add_argument('--learner', nargs='?', default='adam',
                        help='Specify an optimizer: adagrad, adam, rmsprop, sgd')
    parser.add_argument('--verbose', type=int, default=1,
                        help='Show performance per X iterations')
    parser.add_argument('--out', type=int, default=1,
                        help='Whether to save the trained model.')
    return parser.parse_args()

修改最后一句为return parser.parse_args(args=[])。源代码在其他地方运行不会出错，在colab运行错误，可能是出于安全的考虑。

2.TypeError: init_normal() got an unexpected keyword argument 'dtype'

源代码：

def init_normal(shape, name=None):
    return initializations.normal(shape, scale=0.01, name=name)

修改为：

def init_normal(shape, dtype=None):
    return initializations.normal(shape, scale=0.01, name=name,dtype=dtype)

版本问题