参见 https://www.jiqizhixin.com/articles/2018-07-02-7，实践过程中碰到运行错误“找不到libcudart.so.11.0 ”
，这样解决，参考
【tensorflow】缺少libcudart.so.11.0和libcudnn.so.8解决方法，
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-ubuntu1804.pin sudo mv cuda-ubuntu1804.pin /etc/apt/preferences.d/cuda-repository-pin-600 sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub sudo add-apt-repository "deb http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/ /" sudo apt-get update sudo apt-get -y install cuda
后来又提示“module ‘keras.utils.generic_utils‘ has no attribute ‘populate_dict_with_module_objects‘”。
在generic_utils.py中增加2个函数：
def to_snake_case(name): intermediate = re.sub(‘(.)([A-Z][a-z0-9]+)‘, r‘\1_\2‘, name) insecure = re.sub(‘([a-z])([A-Z])‘, r‘\1_\2‘, intermediate).lower() # If the class is private the name starts with "_" which is not secure # for creating scopes. We prefix the name with "private" in this case. if insecure[0] != ‘_‘: return insecure return ‘private‘ + insecure def populate_dict_with_module_objects(target_dict, modules, obj_filter): for module in modules: for name in dir(module): obj = getattr(module, name) if obj_filter(obj): target_dict[name] = obj
但还是报错：“Version:0.9 StartHTML:0000000105 EndHTML:0000000727 StartFragment:0000000141 EndFragment:0000000691
”
估计电脑没有gpu导致这个错误。
原文：https://www.cnblogs.com/tangxiaosheng/p/14893447.html