Скачать или смотреть install pytorch and tensorflow in same environment

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Certainly! Installing PyTorch and TensorFlow in the same environment is a common requirement for many machine learning projects. Below is a step-by-step tutorial on how to achieve this using the popular package manager, pip, and the virtualenv tool for creating a virtual environment. This tutorial assumes you have Python and pip already installed on your system.
Open a terminal and navigate to the directory where you want to create your project. Run the following commands to create a virtual environment:
Activate the virtual environment:
For Windows:
For Linux/macOS:
Now that the virtual environment is activated, you can install PyTorch and TensorFlow using pip. First, install PyTorch:
Next, install TensorFlow:
You can verify the installations by running the following Python script:
Save the script to a file (e.g., verify_installations.py) and run it using:
This script should print the versions of PyTorch and TensorFlow without any errors.
When you're done working in your project, you can deactivate the virtual environment:
In this tutorial, we created a virtual environment using virtualenv, activated it, and installed PyTorch and TensorFlow using pip. Make sure to activate the virtual environment whenever you want to work on your project, and deactivate it when you're done. This ensures that your project's dependencies remain isolated from the global Python environment.
Remember to consult the official documentation for PyTorch and TensorFlow for the latest installation instructions and compatibility information:
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