From ef9a2990ae3769692e25920b98f13a0b7b84bd52 Mon Sep 17 00:00:00 2001 From: Reid <61492567+reidliu41@users.noreply.github.com> Date: Sat, 5 Jul 2025 11:56:39 +0800 Subject: [PATCH] [doc] small fix (#20506) Signed-off-by: reidliu41 --- docs/contributing/incremental_build.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/contributing/incremental_build.md b/docs/contributing/incremental_build.md index 14c3aaead51e..33584fdd5d40 100644 --- a/docs/contributing/incremental_build.md +++ b/docs/contributing/incremental_build.md @@ -14,7 +14,7 @@ Before setting up the incremental build: VLLM_USE_PRECOMPILED=1 uv pip install -U -e . --torch-backend=auto ``` -2. **CUDA Toolkit:** Verify that the NVIDIA CUDA Toolkit is correctly installed and `nvcc` is accessible in your `PATH`. CMake relies on `nvcc` to compile CUDA code. You can typically find `nvcc` in `$CUDA_HOME/bin/nvcc` or by running `which nvcc`. If you encounter issues, refer to the [official CUDA Toolkit installation guides](https://developer.nvidia.com/cuda-toolkit-archive) and vLLM's main [GPU installation documentation](../getting_started/installation/gpu/cuda.inc.md#troubleshooting) for troubleshooting. The `CMAKE_CUDA_COMPILER` variable in your `CMakeUserPresets.json` should also point to your `nvcc` binary. +2. **CUDA Toolkit:** Verify that the NVIDIA CUDA Toolkit is correctly installed and `nvcc` is accessible in your `PATH`. CMake relies on `nvcc` to compile CUDA code. You can typically find `nvcc` in `$CUDA_HOME/bin/nvcc` or by running `which nvcc`. If you encounter issues, refer to the [official CUDA Toolkit installation guides](https://developer.nvidia.com/cuda-toolkit-archive) and vLLM's main [GPU installation documentation](../getting_started/installation/gpu.md#troubleshooting) for troubleshooting. The `CMAKE_CUDA_COMPILER` variable in your `CMakeUserPresets.json` should also point to your `nvcc` binary. 3. **Build Tools:** It is highly recommended to install `ccache` for fast rebuilds by caching compilation results (e.g., `sudo apt install ccache` or `conda install ccache`). Also, ensure the core build dependencies like `cmake` and `ninja` are installed. These are installable through `requirements/build.txt` or your system's package manager.