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Intelligent computing system 1 environment construction
2022-06-28 19:23:00 【No regrets!】
List of articles
1. Intelligent computing system
Intelligent computing system is a book , Written by chenyunji , This book uses the front end python tensorflow Declarative programming and frameworks , middle Deep learning processor , Bottom The Cambrian MLU270, A book that covers machine learning everything , It's no exaggeration to say , Figure out this book , Machine learning is half a master
2. Introduction to the experimental environment
This book contains many experiments , such as TensorFlow , such as bangc How to achieve CPU and MLU Heterogeneous execution, etc ; The test environment can be applied in the Cambrian computing platform (CPU/ MLU270 a sheet / Storage 1T), Storage should be permanent , CPU/MLU You can apply for half a month at most at one time ; That is, you can apply for a ECS belt through the platform MLU270, The effective time is 15 God , This is a container , To give you one IP:Port, You can go through xshell, VScode Etc ssh Connection to use , Used to Alibaba cloud , Tencent cloud Or have been using remote server Students who do experiments should be able to get started quickly
3. Experiment preparation
Win10Just computersVScodeInstalling a plug-inremote-ssh
4. Test environment
Go to the Cambrian development platform to apply for hardware
Storage request 1T No matter what , I applied here 20G, Enough can be used.
Cloud server , choice


5. adopt vscode Inside remote-ssh Connect to server

Starting environment , The code is contained in /opt in AICSE-demo-student.tar.gz Cambricon-Test
AICSE-demo-student.tar.gz Is all the environment and code Cambricon-Test It's an experiment data And experiments model
cp AICSE-demo-student.tar.gz /home/zjq/
cd /home/zjq/ && tar -vxf AICSE-demo-student.tar.gz
# Later, the code will be changed in /home/zjq Inside , Because this folder is attached to a separate storage volume , Even if the ECS expires , This can also bake data
The following articles cover various bangc operator Experiment and tf Style shift of experiment
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