Detailed explanation of PyTorch installation guide

##python video tutorialColumn introduces the installation guide of PyTorch

##Related free learning recommendations:

python video tutorial

This blog mainly introduces the creation of the

PyTorch

environment in the Anaconda virtual environment. The Anaconda software has been successfully installed by default.

Anaconda Inpidual Edition

official download link:https://www.anaconda.com/products/inpidual

According to your own operating system , select the required version number, and then install it in a fool-proof manner. For specific installation and use, please refer to the following link:

https://blog.csdn.net/ITLearnHall/article/details/81708148

Create a virtual environment for PyTorch

Find

Anaconda Prompt

in [Recently Added] and open it, enter the following commands in sequence: <div class="code" style="position:relative; padding:0px; margin:0px;"><div class="code" style="position:relative; padding:0px; margin:0px;"><pre class="brush:php;toolbar:false"># 创建名为 PyTorch_envs 的虚拟环境，并指定 Python 版本号为 python 3.8 conda create -n PyTorch_envs python=3.8 # 激活虚拟环境 PyTorch_envs conda activate PyTorch_envs # 退出虚拟环境 conda deactivate</pre><div class="contentsignin">Copy after login</div></div><div class="contentsignin">Copy after login</div></div>

Install PyTorch in the virtual environment

Open the

PyTorch

official website and choose to install. [Here we choose the official website installation method. Bloggers have also tried other installation methods, but the results are not very good, so it is best to follow the official website installation method. After all, wool comes from the sheep. 】

Follow the instructions on the official website to install PyTorch
. What needs to be noted here is that you must know your CUDA version number before installation, here You can refer to the link https://blog.csdn.net/qq_38295511/article/details/89223169

## My own

CUDA version number It is
10.1, so choose as shown in the picture. It is recommended to choose the pip

installation method. The operating system should be selected according to your own operating system. I will not go into details here. [It is best to choose a relatively good network environment] If the download speed is very slow, it is recommended to change the source installation. Pay attention to specify the version number. For the specific source change method, please refer to:

https://blog.csdn. net/Ginomica_xyx/article/details/109605629

Verify whether PyTorch is installed successfully

Official website https://pytorch.org/ get-started/locally/#windows-verification also explains the verification method:

As shown in the figure,
PyTorch was installed successfully.
Possible problems during the installation process

import torch

Occurrence

ImportError: numpy.core.multiarray failed to import

Cause of error: There is a problem with the version of

numpy

, resulting in the inability to communicate with

PyTorch The version is matched, specifically the numpy version is too low. Solution: Upgrade the version of numpy

. After activating the environment, enter the following command:

conda upgrade numpy

End.

This blog is mainly introduced in AnacondaCreate the

PyTorch

environment in the virtual environment, and the Anaconda software has been successfully installed by default. Anaconda Inpidual Edition official download link:

https://www.anaconda.com/products/inpidualAccording to your own operating system , select the required version number, and then install it in a fool-proof manner. For specific installation and use, please refer to the following link:

https://blog.csdn.net/ITLearnHall/article/details/81708148

Create a virtual environment for PyTorch

Find Anaconda Prompt in

[Recently Added]

and open it, enter the following commands in sequence: <div class="code" style="position:relative; padding:0px; margin:0px;"><div class="code" style="position:relative; padding:0px; margin:0px;"><pre class="brush:php;toolbar:false"># 创建名为 PyTorch_envs 的虚拟环境，并指定 Python 版本号为 python 3.8 conda create -n PyTorch_envs python=3.8 # 激活虚拟环境 PyTorch_envs conda activate PyTorch_envs # 退出虚拟环境 conda deactivate</pre><div class="contentsignin">Copy after login</div></div><div class="contentsignin">Copy after login</div></div>

Install PyTorch in a virtual environment

Open the PyTorch official website and select installation. [Here we choose the official website installation method. Bloggers have also tried other installation methods, but the results are not very good, so it is best to follow the official website installation method. After all, wool comes from the sheep. 】

Follow the instructions on the official website to install PyTorch. What needs to be noted here is that you must know your CUDA version number before installation, here You can refer to the link

https://blog.csdn.net/qq_38295511/article/details/89223169

## My own
CUDA version number It is 10.1, so choose as shown in the picture.

It is recommended to choose the

pip installation method. The operating system should be selected according to your own operating system. I will not go into details here. [It is best to choose a relatively good network environment] If the download speed is very slow, it is recommended to change the source installation. Pay attention to specify the version number. For the specific source change method, please refer to:

https://blog.csdn. net/Ginomica_xyx/article/details/109605629

Verify whether PyTorch is installed successfully

Official website https://pytorch.org/ get-started/locally/#windows-verification also explains the verification method:

As shown in the figure,
PyTorch was installed successfully.

Possible problems during the installation process

import torch

Occurrence

ImportError: numpy.core.multiarray failed to import

Cause of error: There is a problem with the version of

numpy, resulting in the inability to communicate with PyTorch The version is matched, specifically the numpy version is too low.

Solution: Upgrade the version of

numpy. After activating the environment, enter the following command:

conda upgrade numpy

End.

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