Table of contents
1. Download any version of Python 2.7 or 3.3+
2. Add environment configuration
3. Build a virtual environment (GPU installation)
2. View the current virtual environment
3. Create a virtual environment for tensor
4. Activate the virtual environment that has been created
6. After the installation is complete, check whether tensorflow is available
7. Check whether tensorflow can be used
1). Enter the command in the current environment: python
2) Enter the command again: import tensorflow as tf
3) Then do a simple calculation and enter the command: print(tf.constant(1.)+tf.constant(2.))
4) Check if the calculation results are available and tensorflow is installed successfully.
Step 1: Install anaconda
Installation path: https://repo.anaconda.com/archive/
1. Download any version of Python 2.7 or 3.3+
2、
3、
2. Environment configuration
1. After the installation is completed, you need to check whether the computer has the anaconda environment configuration.
Find the settings and click System->System Information->Advanced System Settings->Environment Variables
Click on the path of user variables and system variables respectively to see if there is anaconda environment configuration.
User variables:
Environment variables:
If the check is not found, add it manually.
2. Add environment configuration
Double-click the path of the user variable and environment variable respectively, click New -> Browse, find the location of the anaconda file and add it, and finally click OK to complete the addition.
3. Build a virtual environment (GPU installation)
1. Open Anaconda Prompt
2. View the current virtual environment
Enter the command: conda env list
The computer has only one base by default
3. Create a virtual environment for tensor
Press win+R keys simultaneously on the keyboard, enter cmd first, a small black box will pop up, and then enter command: python --versionCheck the python version.
Install virtual environment:
Then enter y
NOTE: If
4. Activate the virtual environment that has been created
ImportDirective: conda activate tensor
If the previous change from base to tensor is successful, the activation will be successful.
5. Install tensorflow
After activating tensor, switch to the path where you want to install the virtual environment, and enter the command: pip install tensorflow==2.9 -i https://pypi.tuna.tsinghua .edu.cn/simple/
My path here
6. After the installation is complete, check whether tensorflow is available
ImportDirective: conda list
After entering, check whether there are these tensorflows. If so, the installation is complete.
7. Check whether tensorflow can be used
1), enter the command in the current environment: python
2), enter again command: import tensorflow as tf
3), then do a simple calculation and enter the command: print(tf.constant(1.)+tf.constant(2.))
4) Check if the calculation results are available and tensorflow is installed successfully.
Installation completed, OK!