Torch learning (I): environment configuration

1 Anaconda install

  Anaconda Refers to an open source Python Release version , It contains conda、Python And so on .
   Installation can refer to ：https://blog.csdn.net/ITLearnHall/article/details/81708148

2 Jupyter install

  Jupyter It's data analysis 、 Common tools for machine learning , The advantage is ：
   Code can be 、 Documents, etc , Let users know at a glance .
   Installation can refer to ：https://jupyter.org/install perhaps https://blog.csdn.net/Lee_J_R/article/details/52791228
   for example ：

pip install jupyterlab

   notes ： If command "jupyter notebook" Report errors , Try the following ways to solve ：
  1） take "…/Python\Python37\site-packages" Add to path , The key for site-packages;
  2） Use command "python -m notebook" command

   Open the interface as follows ：

3 CUDA install

   In deep learning, it is inevitable to use GPU, Therefore, the installation of Torch Need to be GPU edition , So install first CUDA, Steps are as follows ：
  1） open NVIDIA Control panel , Click Help , Check system information ：

  2） Pay attention to your driver version ： My is 399.24

  3） Query driver version and CUDA Correspondence of ：

   The source of the picture is as follows ：
  https://blog.csdn.net/zhw864680355/article/details/90411288

  4） stay CUDA Find the corresponding version on the official website , The official website is as follows , I chose 9.2 edition ：
  https://developer.nvidia.com/cuda-toolkit-archive

  5） Download and install it , It should be noted that Please select a custom installation , And uncheck visual studio, Specific reference to ：
  https://blog.csdn.net/u010618587/article/details/82940528

4 Torch install

   This article needs to use PyTorch frame , The installation address is as follows ：
  https://pytorch.org/get-started/locally/

   Specific steps ：
  1） Select the appropriate installation command ：

  2） Use domestic image ：
   Due to timeout error during direct installation , Therefore, it needs to be moved to the domestic image , Common domestic images can be referred to ：
  https://blog.csdn.net/sinat_21591675/article/details/82770360
   Take Alibaba cloud for example , The installation command can be as follows , Add the following statement to pythoch In the initial command ：

-i http://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com

   The final order is as follows ：

pip install -i http://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com torch==1.3.1+cu92 torchvision==0.4.2+cu92 -f https://download.pytorch.org/whl/torch_stable.html

   If it appears "Read time out" error , Please try a few more times , Or change to another image source (#^.^#)
  3） Check to see if the installation was successful ：

import torch
print(torch.cuda.is_available())

   If output True, Installation succeeded .

thank

   Thanks to Li Mu 、Aston Zhang Wait for the teacher's book 《 Hands-on deep learning 》 A Book , It has provided great help for my deep learning . A series of blogs about deep learning in this article have no intention of infringement , Just to record your in-depth learning process .
   project Github Address ：https://github.com/ShusenTang/Dive-into-DL-PyTorch