CommandNotFoundError: No command 'conda conda'. 出现情形 当前conda版本:4.6.11 当使用git bash,无论是在vscode中,还是在桌面上打开bash,都会出现这个错误。但是在cmd中,就可以识别conda命令。 解决 该错误只在4.6.8到11中出现。其他版本应该没有什么问题。因此解决方案就是把conda降级。 conda install -n bas...
1、在终端输入$sudo gedit /etc/profile,打开profile文件。 2、在文件末尾添加一行:export PATH=~/anaconda3/bin:$PATH,其中,将“~/anaconda3/bin”替换为你实际的安装路径。保存。
'compare', 'config', 'create', 'info', 'init', 'install', 'list', 'notices', 'package', 'remove', 'uninstall', 'rename', 'run', 'search', 'update', 'upgrade', 'doctor', 'content-trust', 'tree', 'env', 'lock')
Lock index cache metadata by default. Added --no-lock option in case of problems, should not be necessary. Older --experimental=lock no longer has an effect. (#12920) Add context.register_envs option to control whether to register environments in ~/.conda/environments.txt when they are cre...
file_io.py", line 92, in _prewrite_check compat.as_bytes(self.__name), compat.as_bytes(self.__mode)) tensorflow.python.framework.errors_impl.PermissionDeniedError: /tmp/tfhub_modules/96e8f1d3d4d90ce86b2db128249eb8143a91db73.lock.tmp40b1daf1ca7d4f62a23d9457654a995d; Permission ...
版权声明:本文内容由互联网用户自发贡献,该文观点仅代表作者本人。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容, 请发送邮件至 举报,一经查实,本站将立刻删除。
准备尝试升级TensorFlow 1.14 到2.2,需要同时升级本地和服务器的环境,本文记录主要过程。 环境需求 当前TensorFlow最高版本 2.2.+ ,需要CUDA 10.1,cudnn 7.6 官网下载 :https://developer.nvidia.com/ 显卡驱动需要满足CUDA版本要求 CUDA与显卡驱动:https://docs.nvidia.com/cuda/cuda-toolkit-...
defbuild(m,bld_bat,dirty=False):env=dict(os.environ)env.update(environ.get_dict(m,dirty=dirty))env=environ.prepend_bin_path(env,config.build_prefix,True)fornamein'BIN','INC','LIB':path=env['LIBRARY_'+name]ifnotisdir(path):os.makedirs(path)src_dir=source.get_dir()ifos.path.isfile(...
partially revert #2760 adding back conda package command (#3398)Improvementsorder output of conda config --show; make --json friendly (#3384 via #3386) clean the pid based lock on exception (#3325) improve file removal on all platforms (#3280 via #3396)Bug...
The specific tools used should also be in lock-step with the code base revision being worked on. This ensures that there is one way to do all everyday tasks and they always work. It’s also a critical step towards having reproducible builds. If you or your teammates have experienced any...