From 72c6f610fc4047f86c35be09d57a29d71f74bdcc Mon Sep 17 00:00:00 2001 From: Ayo Date: Tue, 2 Sep 2025 21:31:43 +0200 Subject: [PATCH] chore: update readme --- README.md | 15 +++++++++++---- 1 file changed, 11 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 8306daa..b61e454 100644 --- a/README.md +++ b/README.md @@ -2,17 +2,25 @@ Code experimenting with PyTorch using Intel architecture (i.e., Intel Core Ultra processor with iGPU) or `xpu`. -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. +After installing `ipex-llm` which is required to use Intel GPUs (see [Setup](#setup)), you will have access to `conda` and be able to `import torch` normally. ## Setup -1. Run `env.sh` to activate the conda environment and set +1. [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) + +2. Clone repo + +```bash +$ git clone https://git.ayo.run/ayo/learn-pytorch +``` + +3. Run `env.sh` to activate the conda environment and set ```bash $ . env.sh ``` -2. (Optional) Confirm if XPU is detected +4. (Optional) Confirm if XPU is detected ```bash $ python # go intou the python shell @@ -25,5 +33,4 @@ $ torch.xpu.get_device_name() ## 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) - [Get started with PyTorch locally](https://pytorch.org/get-started/locally/)