Answer
Nov 04, 2025 - 02:56 PM
To activate a specific conda environment in the Intel AI Analytics Toolkit for Linux, follow these steps:
1. Configure your system by setting environment variables before continuing.
2. Use the command "conda activate " to activate the desired conda environment. The AI Kit includes conda environments for TensorFlow (CPU), TensorFlow with Intel Extension for Sample TensorFlow (GPU), PyTorch with Intel Extension for PyTorch (XPU), and Intel oneCCL Bindings for PyTorch (CPU).
3. Explore each environment's related Getting Started Sample linked in the user manual for more information on how to use each environment.
For example, to activate the TensorFlow environment, you would use the command:
```
conda activate tensorflow
```
Similarly, to activate the PyTorch environment, you would use the command:
```
conda activate pytorch
```
By following these steps, you can easily switch between different conda environments within the Intel AI Analytics Toolkit for Linux based on your project requirements.
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