目录
安装anaconda
管理环境
安装cuda 9.0和cudnn7
minianacondaminiconda的安装与使用 - 简书
安装anaconda
Ubuntu 20.04安装Anaconda3+配置+使用jupyter notebook_阿清~的博客-CSDN博客
从官网下载安装包/products/individual
页面最下方找到Linux版本，选择第一个下载。注意python3.8
bash Anaconda3-.02-Linux-x86_64.sh
Old package lists — Anaconda documentation
查看不同Python版本的anaconda版本号
安装完成后，在终端输入
python3
查看python版本：
如果出现上图显示的“Anaconda”,说明配置成功，否则需要重新配置环境变量。
重新配置环境
gedit ~/.bashrc
或者vim打开 vim ~/.bashrc
打开文件后，在最后一行添加语句：
export PATH="home/zhangwenjun/anaconda3/bin:$PATH"
这里的路径选择是你的Anaconda的默认安装路径，默认在home下。
点击保存，关闭bashrc文件，最后一定要在终端输入下面命令才能生效：
source ~/.bashrc
再次python3 就出现了anaconda
管理环境
Anaconda管理你乱七八糟的环境_嘿芝麻的树洞-CSDN博客
conda activate之后就可以随心所欲啦~
1 创建并激活一个环境：conda create --name env_name python=python版本号 -y。
简写为 conda create -n env_name python=python版本号 -y，
如：conda create -n open-mmlab python=3.7 -y。
其中python=python版本号可以省略，默认为当前 python 版本。
2 列出所有的环境：conda info --envs。
简写为 conda info -e，其中，当前所在环境被标记*。
3 进入某个环境：source activateenv_name，如source activate mmlab
4 验证当前环境是否切换成功：conda info -e
5 退出当前环境（返回原始环境）：source deactivate
6 复制一个环境：conda create -n env_name1 --clone env_name。复制env_name环境为env_name1。
7 删除一个环境：conda remove -n env_name --all
ps..
如果创建环境时出现了问题，可以给conda换源
vim ~/.condarc
channels:- http://mirrors.tuna./anaconda/pkgs/free/- http://mirrors.tuna./anaconda/cloud/conda-forge/- http://mirrors.tuna./anaconda/cloud/msys2/- http://mirrors.tuna./anaconda/cloud/bioconda/- http://mirrors.tuna./anaconda/pkgs/main/show_channel_urls: truessl_verify: false
安装cuda 9.0和cudnn7
ubuntu16.04 通过anaconda建立虚拟环境，安装cuda9.0，cudnn7.1.2_陌若安生的博客-CSDN博客
安装tensorflow指定版本用conda install搜不到，使用pip安装：
解决anaconda pip无法使用指定环境下的pip安装_GXLiu-CSDN博客
import tensorflow的时候又出现一堆乱七八糟的东西
/home/zhangwenjun/anaconda3/envs/oneshot/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'._np_qint8 = np.dtype([("qint8", np.int8, 1)])/home/zhangwenjun/anaconda3/envs/oneshot/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'._np_quint8 = np.dtype([("quint8", np.uint8, 1)])/home/zhangwenjun/anaconda3/envs/oneshot/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'._np_qint16 = np.dtype([("qint16", np.int16, 1)])/home/zhangwenjun/anaconda3/envs/oneshot/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'._np_quint16 = np.dtype([("quint16", np.uint16, 1)])/home/zhangwenjun/anaconda3/envs/oneshot/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:521: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'._np_qint32 = np.dtype([("qint32", np.int32, 1)])/home/zhangwenjun/anaconda3/envs/oneshot/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:526: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.np_resource = np.dtype([("resource", np.ubyte, 1)])
按照这个帖子改了就好了
/home/image/.conda/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py_Vertira的博客-CSDN博客
