Use uv as package manager

.dockerignore

@@ -3,3 +3,4 @@ Dockerfile
 !.git
 !.gitignore
 !.gitmodules
+!.python-version

.github/workflows/ci.yml

@@ -30,5 +30,5 @@ jobs:
             && sed -i '/# Load policy/{N;N;N;N;N;N;s|# Load policy\n    policy = load_policy(\n        path_to_cpt=config.cpt_path,\n        model_name=config.cpt_name,\n        device=config.device,\n        env=env,\n    )|from gpudrive.networks.late_fusion import NeuralNet\n    policy = NeuralNet.from_pretrained(\"daphne-cornelisse/policy_S10_000_02_27\")|}' examples/experimental/viz_rollouts.py \
             && echo 'Modifications to run without GPU' \
             && sed -i 's/device=\"cuda\"/device=\"cpu\"/g' gpudrive/datatypes/observation.py \
-            && python examples/experimental/viz_rollouts.py
+            && uv run python examples/experimental/viz_rollouts.py
           "

.gitignore

@@ -8,6 +8,7 @@
 .vscode/launch.json
 .vscode/settings.json
 .vscode/tasks.json
+.uv_cache
 
 /examples/benchmarks/results/
 /baselines/ppo/logs/*
@@ -17,7 +18,6 @@
 *madrona.diff
 /bin
 /zipp*
-.python-version
 /google-cloud-sdk/*
 *.gz
 
@@ -155,11 +155,6 @@ target/
 profile_default/
 ipython_config.py
 
-# pyenv
-#   For a library or package, you might want to ignore these files since the code is
-#   intended to run in multiple environments; otherwise, check them in:
-.python-version
-
 # pipenv
 #   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
 #   However, in case of collaboration, if having platform-specific dependencies or dependencies

.gitmodules

@@ -1,6 +1,6 @@
 [submodule "external/madrona"]
 	path = external/madrona
-	url = https://github.com/shacklettbp/madrona.git
+	url = https://github.com/m-naumann/madrona.git
 [submodule "external/json"]
 	path = external/json
 	url = https://github.com/nlohmann/json.git

.python-version

@@ -0,0 +1 @@
+3.11

Dockerfile

@@ -27,39 +27,26 @@ RUN apt-get update && apt-get install -y -q --no-install-recommends \
     && apt-get clean \
     && rm -rf /var/lib/apt/lists/*
 
-# Install Python 3.11
-RUN apt-add-repository -y ppa:deadsnakes/ppa \
-    && apt-get install -y -q --no-install-recommends python3.11 python3.11-dev python3.11-distutils \
-    && apt-get clean \
-    && rm -rf /var/lib/apt/lists/*
-
-RUN curl -sS https://bootstrap.pypa.io/get-pip.py | python3.11
-
-# Set Python 3.11 as default
-RUN update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.11 11 && \
-    update-alternatives --install /usr/bin/python python /usr/bin/python3.11 11
-
-RUN apt-get remove -y cmake && pip3 install  --no-cache-dir --upgrade cmake
+# Install uv
+RUN curl -LsSf https://astral.sh/uv/install.sh | env UV_INSTALL_DIR="/usr/bin" sh
 
 # Copy the gpudrive repository
 COPY . /gpudrive
 WORKDIR /gpudrive
-RUN git submodule update --init --recursive --depth 1
+RUN git submodule update --init --recursive
+
+# Install python part using uv
+RUN uv sync --frozen
 
 ENV MADRONA_MWGPU_KERNEL_CACHE=./gpudrive_cache
 
 RUN mkdir build
 WORKDIR /gpudrive/build
-RUN cmake .. -DCMAKE_BUILD_TYPE=Release -DCMAKE_POLICY_VERSION_MINIMUM=3.5 && find external -type f -name "*.tar" -delete
+RUN uv run cmake .. -DCMAKE_BUILD_TYPE=Release -DCMAKE_POLICY_VERSION_MINIMUM=3.5 && find external -type f -name "*.tar" -delete
 RUN ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1
-RUN LD_LIBRARY_PATH=/usr/local/cuda/lib64/stubs/:$LD_LIBRARY_PATH make -j
+RUN LD_LIBRARY_PATH=/usr/local/cuda/lib64/stubs/:$LD_LIBRARY_PATH uv run make -j
 RUN rm /usr/local/cuda/lib64/stubs/libcuda.so.1
 WORKDIR /gpudrive
 
-RUN pip3 install --no-cache-dir torch==2.6.0 && rm -rf ~/.cache/pip/*
-RUN pip3 install --no-cache-dir tensorflow==2.19.0 && rm -rf ~/.cache/pip/*
-RUN pip3 install --no-cache-dir nvidia-cuda-runtime-cu12==12.4.127 && rm -rf ~/.cache/pip/*
-RUN pip3 install --no-cache-dir -e .[vbd,pufferlib]
-
 CMD ["/bin/bash"]
 LABEL org.opencontainers.image.source=https://github.com/Emerge-Lab/gpudrive

README.md

@@ -1,7 +1,10 @@
 GPUDrive
 ========
 
-![Python version](https://img.shields.io/badge/Python-3.11-blue) [![Paper](https://img.shields.io/badge/arXiv-2408.01584-b31b1b.svg)](https://arxiv.org/abs/2408.01584)
+[![Paper](https://img.shields.io/badge/arXiv-2408.01584-b31b1b.svg)](https://arxiv.org/abs/2408.01584)
+[![GitHub CI](https://github.com/Emerge-Lab/gpudrive/actions/workflows/ci.yml/badge.svg)](https://github.com/Emerge-Lab/gpudrive/actions/workflows/ci.yml)
+[![License](https://img.shields.io/github/license/Emerge-Lab/gpudrive)](LICENSE)
+![Python version](https://img.shields.io/badge/Python-3.11-blue)
 
 An extremely fast, data-driven driving simulator written in C++.
 
@@ -66,20 +69,28 @@ For Windows, open the cloned repository in Visual Studio and build the project u
 
 Next, set up a Python environment
 
-#### With pyenv (Recommended)
+#### With uv (Recommended)
 
-Create a virtual environment:
+Create a virtual environment and install the Python components of the repository:
 
 ```bash
-pyenv virtualenv 3.11 gpudrive
-pyenv activate gpudrive
+uv sync --frozen
 ```
 
-Set it for the current project directory (optional):
+#### With pyenv
 
-```bash
-pyenv local gpudrive
-```
+ Create a virtual environment:
+
+ ```bash
+ pyenv virtualenv 3.11 gpudrive
+ pyenv activate gpudrive
+ ```
+
+ Set it for the current project directory (optional):
+
+ ```bash
+ pyenv local gpudrive
+ ```
 
 #### With conda
 
@@ -90,18 +101,18 @@ conda activate gpudrive
 
 ### Install Python package
 
-Finally, install the Python components of the repository using pip:
+Finally, install the Python components of the repository using pip (this step is not required for the `uv` installation):
 
 ```bash
 # macOS and Linux.
 pip install -e .
 ```
 
-Optional depencies include [pufferlib], [sb3], [vbd], and [tests].
+Dependency-groups include `pufferlib`, `sb3`, `vbd`, and `tests`.
 
 ```bash
 # On Windows.
-pip install -e . -Cpackages.madrona_escape_room.ext-out-dir=PATH_TO_YOUR_BUILD_DIR on Windows
+pip install -e . -Cpackages.madrona_escape_room.ext-out-dir=<PATH_TO_YOUR_BUILD_DIR on Windows>
 ```
 
 </details>
@@ -124,14 +135,14 @@ Ensure you have the following installed:
 Once installed, you can build the container with:
 
 ```bash
-DOCKER_BUILDKIT=1 docker build --build-arg USE_CUDA=true --tag my_image:latest --progress=plain .
+DOCKER_BUILDKIT=1 docker build --build-arg USE_CUDA=true --tag gpudrive:latest --progress=plain .
 ```
 
 ### Running the Container
 To run the container with GPU support and shared memory:
 
 ```bash
-docker run --gpus all -it --rm --shm-size=20G -v ${PWD}:/workspace my_image:latest /bin/bash
+docker run --gpus all -it --rm --shm-size=20G -v ${PWD}:/workspace gpudrive:latest /bin/bash
 ```
 
 </details>

pyproject.toml

@@ -5,7 +5,7 @@ requires = [
     "cmake>=3.18",
     "ninja",
 ]
-build-backend = "madrona-py-build"
+build-backend = "madrona_py_build"
 backend-path = ["external/madrona/py"]
 wheel-directory = "build"
 
@@ -22,7 +22,7 @@ readme = "README.md"
 description = "A GPU-accelerated, multi-agent driving simulator"
 requires-python = ">=3.11"
 dependencies = [
-    "numpy>=1.26.4",
+    "numpy>=1.26.4,<2",
     "gymnasium",
     "pygame",
     "matplotlib==3.9",
@@ -39,26 +39,29 @@ dependencies = [
     "tqdm",
     "jax",
     "huggingface_hub",
+    "cmake==4.0.0",
 ]
 
-[project.optional-dependencies]
+[dependency-groups]
 pufferlib = [
-    "pufferlib>=2.0.6",
+    "pufferlib>=2.0.6,<3",
 ]
 sb3 = [
     "stable-baselines3==2.3.2",
 ]
-
 test = [
     "pytest>=8.2.1",
 ]
-
 vbd = [
     "lightning",
     "jaxlib==0.5.3",  # see https://github.com/Emerge-Lab/gpudrive/issues/464
     "waymo-waymax @ git+https://github.com/waymo-research/waymax.git@main",
 ]
 
+[tool.uv]
+default-groups = "all"
+cache-dir = "./.uv_cache"
+
 [tool.madrona.packages.madrona_gpudrive]
 ext-only = true
 ext-out-dir = "build"