Installation Guide#
Installing with pip#
Prerequisites for installation via wheel or PyPI:
Operating System: Ubuntu 20.04 or later
Python Version: >= 3.8
CUDA Version: >= 11.0
The easiest way to install TileLang is directly from PyPI using pip. To install the latest version, run the following command in your terminal:
pip install tilelang
Alternatively, you may choose to install TileLang using prebuilt packages available on the Release Page:
pip install tilelang-0.0.0.dev0+ubuntu.20.4.cu120-py3-none-any.whl
To install the latest version of TileLang from the GitHub repository, you can run the following command:
pip install git+https://github.com/tile-ai/tilelang.git
After installing TileLang, you can verify the installation by running:
python -c "import tilelang; print(tilelang.__version__)"
Building from Source#
Prerequisites for building from source:
Operating System: Linux
Python Version: >= 3.7
CUDA Version: >= 10.0
We recommend using a Docker container with the necessary dependencies to build TileLang from source. You can use the following command to run a Docker container with the required dependencies:
docker run --gpus all -it --rm --ipc=host nvcr.io/nvidia/pytorch:23.01-py3
To build and install TileLang directly from source, follow these steps. This process requires certain pre-requisites from Apache TVM, which can be installed on Ubuntu/Debian-based systems using the following commands:
sudo apt-get update
sudo apt-get install -y python3 python3-dev python3-setuptools gcc libtinfo-dev zlib1g-dev build-essential cmake libedit-dev libxml2-dev
After installing the prerequisites, you can clone the TileLang repository and install it using pip:
git clone --recursive https://github.com/tile-ai/tilelang.git
cd tileLang
pip install . # Please be patient, this may take some time.
If you want to install TileLang in development mode, you can run the following command:
pip install -e .
We currently provide three methods to install TileLang:
Method 1: Install from Source (Using Your Own TVM Installation)#
If you already have a compatible TVM installation, follow these steps:
Clone the Repository:
git clone --recursive https://github.com/tile-ai/tilelang cd tilelang
Note: Use the –recursive flag to include necessary submodules.
Configure Build Options:
Create a build directory and specify your existing TVM path:
mkdir build cd build cmake .. -DTVM_PREBUILD_PATH=/your/path/to/tvm/build # e.g., /workspace/tvm/build make -j 16
Set Environment Variables:
Update PYTHONPATH to include the tile-lang Python module:
export PYTHONPATH=/your/path/to/tilelang/:$PYTHONPATH # TVM_IMPORT_PYTHON_PATH is used by 3rd-party frameworks to import TVM export TVM_IMPORT_PYTHON_PATH=/your/path/to/tvm/python
Method 2: Install from Source (Using the Bundled TVM Submodule)#
If you prefer to use the built-in TVM version, follow these instructions:
Clone the Repository:
git clone --recursive https://github.com/tile-ai/tilelang cd tilelang
Note: Ensure the –recursive flag is included to fetch submodules.
Configure Build Options:
Copy the configuration file and enable the desired backends (e.g., LLVM and CUDA):
mkdir build cp 3rdparty/tvm/cmake/config.cmake build cd build echo "set(USE_LLVM ON)" >> config.cmake echo "set(USE_CUDA ON)" >> config.cmake # or echo "set(USE_ROCM ON)" >> config.cmake to enable ROCm runtime cmake .. make -j 16
The build outputs (e.g., libtilelang.so, libtvm.so, libtvm_runtime.so) will be generated in the build directory.
Set Environment Variables:
Ensure the tile-lang Python package is in your PYTHONPATH:
export PYTHONPATH=/your/path/to/tilelang/:$PYTHONPATH
Method 3: Install Using the Provided Script#
For a simplified installation, use the provided script:
Clone the Repository:
git clone --recursive https://github.com/tile-ai/tilelang cd tilelang
Run the Installation Script:
bash install_cuda.sh # or bash `install_amd.sh` if you want to enable ROCm runtime