Pytorch

PyTorch介绍

特点：

1.简单易用、分布式训练、服务器部署方便、移动端部署方便；

2.PyTorch 是基于以下两个目的而打造的python科学计算框架：

无缝替换NumPy，并且通过利用GPU的算力来实现神经网络的加速。

3.通过自动微分机制，来让神经网络的实现变得更加容易。

参考网站：
https://github.com/pytorch/pytorch
https://pytorch.org/
https://pytorch.apachecn.org/#/docs/1.7/README
https://github.com/pytorch/examples

PyTorch安装

Python版本要求必须是64位的；CPU版本或者GPU版本任选一个版本安装即可；GPU版本的安装要求必须是NVIDIA显卡，并且安装好对应的驱动。
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https://pytorch.org/get-started/locally/
https://pytorch.org/get-started/previous-versions/
https://developer.aliyun.com/mirror/anaconda/

1.设置conda国内源

conda config --set show_channel_urls yes
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2.修改~/.condarc文件内容：

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channels:

https://mirrors.aliyun.com/anaconda/cloud/ursky
https://mirrors.aliyun.com/anaconda/cloud/stackless
https://mirrors.aliyun.com/anaconda/cloud/simpleitk
https://mirrors.aliyun.com/anaconda/cloud/rdkit
https://mirrors.aliyun.com/anaconda/cloud/rapidsai
https://mirrors.aliyun.com/anaconda/cloud/qiime2
https://mirrors.aliyun.com/anaconda/cloud/pyviz
https://mirrors.aliyun.com/anaconda/cloud/pytorch3d
https://mirrors.aliyun.com/anaconda/cloud/pytorch-test
https://mirrors.aliyun.com/anaconda/cloud/pytorch
https://mirrors.aliyun.com/anaconda/cloud/psi4
https://mirrors.aliyun.com/anaconda/cloud/plotly
https://mirrors.aliyun.com/anaconda/cloud/omnia
https://mirrors.aliyun.com/anaconda/cloud/ohmeta
https://mirrors.aliyun.com/anaconda/cloud/numba
https://mirrors.aliyun.com/anaconda/cloud/msys2
https://mirrors.aliyun.com/anaconda/cloud/mordred-descriptor
https://mirrors.aliyun.com/anaconda/cloud/menpo
https://mirrors.aliyun.com/anaconda/cloud/matsci
https://mirrors.aliyun.com/anaconda/cloud/intel
https://mirrors.aliyun.com/anaconda/cloud/idaholab
https://mirrors.aliyun.com/anaconda/cloud/fermi
https://mirrors.aliyun.com/anaconda/cloud/fastai
https://mirrors.aliyun.com/anaconda/cloud/dglteam
https://mirrors.aliyun.com/anaconda/cloud/deepmodeling
https://mirrors.aliyun.com/anaconda/cloud/conda-forge
https://mirrors.aliyun.com/anaconda/cloud/caffe2
https://mirrors.aliyun.com/anaconda/cloud/c4aarch64
https://mirrors.aliyun.com/anaconda/cloud/bioconda
https://mirrors.aliyun.com/anaconda/cloud/biobakery
https://mirrors.aliyun.com/anaconda/cloud/auto
https://mirrors.aliyun.com/anaconda/cloud/Paddle
https://mirrors.aliyun.com/anaconda/pkgs/r
https://mirrors.aliyun.com/anaconda/pkgs/msys2
https://mirrors.aliyun.com/anaconda/pkgs/main
https://mirrors.aliyun.com/anaconda/pkgs/free
show_channel_urls: true
custom_channels:
conda-forge: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
msys2: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
bioconda: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
menpo: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
pytorch: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
pytorch-lts: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
simpleitk: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud