企业建网站好,手机app网页制作,江苏网站快速排名优化,wordpress转换中文我们在安装一些包的时候#xff0c;比如TensorFlow等等#xff0c;如果直接使用: pip install tensorflow 这句命令来进行安装的时候#xff0c;我们会发现此时安装的速度不仅非常慢#xff0c;而且还有可能出现网络超时的情况#xff0c;比如如下问题#xff1a; Trac…我们在安装一些包的时候比如TensorFlow等等如果直接使用: pip install tensorflow 这句命令来进行安装的时候我们会发现此时安装的速度不仅非常慢而且还有可能出现网络超时的情况比如如下问题 Traceback (most recent call last):File /home/pengzhang/anaconda3/envs/MyTensorflow/lib/python3.9/site-packages/pip/_internal/cli/base_command.py, line 180, in exc_logging_wrapperstatus run_func(*args)File /home/pengzhang/anaconda3/envs/MyTensorflow/lib/python3.9/site-packages/pip/_internal/cli/req_command.py, line 245, in wrapperreturn func(self, options, args)File /home/pengzhang/anaconda3/envs/MyTensorflow/lib/python3.9/site-packages/pip/_internal/commands/install.py, line 377, in runrequirement_set resolver.resolve(File /home/pengzhang/anaconda3/envs/MyTensorflow/lib/python3.9/site-packages/pip/_internal/resolution/resolvelib/resolver.py, line 179, in resolveself.factory.preparer.prepare_linked_requirements_more(reqs)File /home/pengzhang/anaconda3/envs/MyTensorflow/lib/python3.9/site-packages/pip/_internal/operations/prepare.py, line 552, in prepare_linked_requirements_moreself._complete_partial_requirements(File /home/pengzhang/anaconda3/envs/MyTensorflow/lib/python3.9/site-packages/pip/_internal/operations/prepare.py, line 467, in _complete_partial_requirementsfor link, (filepath, _) in batch_download:File /home/pengzhang/anaconda3/envs/MyTensorflow/lib/python3.9/site-packages/pip/_internal/network/download.py, line 183, in __call__for chunk in chunks:File /home/pengzhang/anaconda3/envs/MyTensorflow/lib/python3.9/site-packages/pip/_internal/cli/progress_bars.py, line 53, in _rich_progress_barfor chunk in iterable:File /home/pengzhang/anaconda3/envs/MyTensorflow/lib/python3.9/site-packages/pip/_internal/network/utils.py, line 63, in response_chunksfor chunk in response.raw.stream(File /home/pengzhang/anaconda3/envs/MyTensorflow/lib/python3.9/site-packages/pip/_vendor/urllib3/response.py, line 622, in streamdata self.read(amtamt, decode_contentdecode_content)File /home/pengzhang/anaconda3/envs/MyTensorflow/lib/python3.9/site-packages/pip/_vendor/urllib3/response.py, line 587, in readraise IncompleteRead(self._fp_bytes_read, self.length_remaining)File /home/pengzhang/anaconda3/envs/MyTensorflow/lib/python3.9/contextlib.py, line 137, in __exit__self.gen.throw(typ, value, traceback)File /home/pengzhang/anaconda3/envs/MyTensorflow/lib/python3.9/site-packages/pip/_vendor/urllib3/response.py, line 443, in _error_catcherraise ReadTimeoutError(self._pool, None, Read timed out.) pip._vendor.urllib3.exceptions.ReadTimeoutError: HTTPSConnectionPool(hostfiles.pythonhosted.org, port443): Read timed out. 这主要是因为直接使用pip进行安装的时候需要从外网下载相关的软件包很容易出现网络超时的情况这个时候我们可以使用一些国内的镜像源 清华源 https://pypi.tuna.tsinghua.edu.cn/simple/阿里云 http://mirrors.aliyun.com/pypi/simple/中国科技大学 https://pypi.mirrors.ustc.edu.cn/simple/豆瓣(douban)http://pypi.douban.com/simple/清华大学 https://pypi.tuna.tsinghua.edu.cn/simple/中国科学技术大学 http://pypi.mirrors.ustc.edu.cn/simple/ 比如这里选择清华源进行安装 pip install tensorflow -i https://pypi.tuna.tsinghua.edu.cn/simple/ 我们就会发现安装速度快了许多。