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# Learn PyTorch # Learn PyTorch
After installing `ipex-llm` which is required to use Intel GPUs (see documentation in [Links](#Links), you can should have access to `conda` and be able to `import torch` normally. Code experimenting with PyTorch using Intel architecture (i.e., Intel Core Ultra processor with iGPU) or `xpu`.
Important: Set the necessary environmental variables: After installing `ipex-llm` which is required to use Intel GPUs (see documentation in [Links](#Links)), you can should have access to `conda` and be able to `import torch` normally.
**Important:** Set the necessary environmental variables:
```bash ```bash
unset OCL_ICD_VENDORS unset OCL_ICD_VENDORS
export SYCL_CACHE_PERSISTENT=1 export SYCL_CACHE_PERSISTENT=1
# [optional] The following environment variable may improve performance, but in some cases, it may also lead to performance degradation
export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1 export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
``` ```
Links Links
- [Install IPEX-LLM on Intel GPU with PyTorch 2.6](https://git.ayo.run/ayo/ipex-llm/src/branch/main/docs/mddocs/Quickstart/install_pytorch26_gpu.md) - [Install IPEX-LLM on Intel GPU with PyTorch 2.6](https://git.ayo.run/ayo/ipex-llm/src/branch/main/docs/mddocs/Quickstart/install_pytorch26_gpu.md)
- [Get started with PyTorch locally](https://pytorch.org/get-started/locally/) - [Get started with PyTorch locally](https://pytorch.org/get-started/locally/)