clap.cpp Python bindings
Install
pip install clap-cpp # CPU
pip install "clap-cpp[cuda]" # NVIDIA CUDA
pip install "clap-cpp[rocm]" # AMD ROCm
pip install "clap-cpp[vulkan]" # Vulkan
The extras install version-matched clap-cpp-cuda, clap-cpp-rocm or
clap-cpp-vulkan wheels. They do not change compiler flags during pip install.
The public import remains from clap_cpp import CLAP. With one GPU backend
installed it is selected automatically; otherwise the CPU extension is used.
Set CLAP_CPP_BACKEND=cpu|cuda|rocm|vulkan before importing to select explicitly.
If multiple GPU packages are installed, explicit selection is required.
clap_cpp.backend reports the selected compiled backend, not device availability.
A GPU extension that cannot load raises an error rather than silently loading
CPU; CLAP_CPP_BACKEND=cpu explicitly uses the bundled CPU extension.
Release wheels cover CPython 3.9–3.14 (not free-threaded builds):
| Backend | Platforms | Required system runtime |
|---|---|---|
| CPU | Linux x86_64/ARM64 (glibc minimum recorded in wheel tags), macOS ARM64, Windows x86_64 | None beyond platform runtimes |
| CUDA | Linux x86_64 (glibc 2.35+) | CUDA 12.9-compatible NVIDIA driver; cudart/cuBLAS are statically linked |
| ROCm | Linux x86_64 (glibc 2.35+) | ROCm 6.4.3 HIP, hipBLAS, rocBLAS (including library data), compatible AMD driver |
| Vulkan | Linux x86_64 (glibc 2.39+) | System Vulkan loader and vendor ICD/driver |
GPU wheels do not bundle drivers. ROCm libraries must be discoverable through
ldconfig or LD_LIBRARY_PATH=/opt/rocm/lib:/opt/rocm/lib64; keep rocBLAS's data
installed in the matching ROCm prefix. No Windows GPU or macOS GPU wheels are
built by this workflow. On other targets pip can build from a source archive,
but this requires the corresponding GPU SDK and compiler.
GPU acceleration currently uses the native runtime's cached dense matrix multiplication path for CLAP. Architectures requiring storage-only precision (MERT, MuQ, MuQ-MuLan and CLaMP3) and other operations retain their CPU paths. Device initialization failures and unsupported operations retain the native CPU fallback; installing an extra does not guarantee every operation runs on GPU.
The commands above require these projects to have been published to PyPI.
Before the first publication, download matching wheels from a GitHub Release
into a local directory and use, for example,
pip install --find-links ./wheels "clap-cpp[cuda]".
Type hints
The package includes type stubs and a py.typed marker for IDE completion and
static checking with mypy or Pyright. encode_text and encode_audio return
list[float]; audio_frames and clamp3_features return time-major
list[list[float]]. PCM input accepts mono numeric sequences such as lists or
tuples. The runtime has no NumPy dependency. Text, token-sequence, audio-file and
PCM input overloads are declared separately.
Usage
from clap_cpp import CLAP
with CLAP("model.gguf", threads=4) as model:
text_embedding = model.encode_text("A dog barking")
audio_embedding = model.encode_audio("dog.wav")
print(model.projection_dimension, model.audio_sample_rate)
Build from source
Build and install from a recursive checkout:
git clone --recursive https://github.com/gorse-io/clap.cpp.git
cd clap.cpp
python -m pip install ./python
Requires Python 3.9+, a C++17 compiler and CMake 3.20+. The build backend installs
CMake/Ninja if necessary. The CPU package has no runtime Python dependencies;
PyTorch, FFmpeg, a separate clap executable and GPU drivers are not required.
The extension statically links the CPU runtime and bundled ICU. The base package
disables GPU backends and OpenMP. x86 wheels use baseline instructions rather
than the build machine's instruction set. No pretrained weights are downloaded
automatically.
Build an optional backend project separately, with its GPU SDK installed:
python python/prepare_backend.py cuda ./build-python-cuda
python -m pip install ./build-python-cuda
python -m pip install ./python
Replace cuda with rocm or vulkan as needed. The helper also works inside
the unpacked base source distribution. Extra CMake options can be passed with
pip's -Ccmake.define.NAME=VALUE, for example CUDA/HIP architecture lists when
building on a machine without a GPU. GPU backend selection and wheel package
names must match: do not enable a GPU backend directly on the base project.
Development and source distributions
python -m pip install './python[test]' build
python -m pytest python/tests
python -m build python
The source distribution includes the pinned native sources and third-party licenses; a wheel can be rebuilt from that archive without a Git checkout or CMake-time downloads. Build dependencies must still be available from the Python package index or a local wheelhouse.
Releases
.github/workflows/release.yml runs when a GitHub Release is published.
It normalizes the release tag into the package version and all three exact extra
dependencies, then builds one canonical CPU source distribution. CPU wheels are
built and tested from that archive using the existing cibuildwheel platform matrix.
The GPU source distributions are generated from the same CPU archive, and GPU
wheels are built from those source distributions with sccache for C, C++, CUDA
and HIP compilation. GPU wheels are not runtime-tested by this workflow.
Cache storage reuses the repository's
SCCACHE_BUCKET, SCCACHE_ENDPOINT, SCCACHE_REGION variables and
AWS_ACCESS_KEY_ID/AWS_SECRET_ACCESS_KEY secrets. Linux wheels are repaired
with auditwheel; system GPU libraries remain external as listed above. All
wheels and source distributions are attached to that release.
Stable releases also publish the four distributions to PyPI using OIDC. Before
releasing, configure a PyPI trusted publisher (owner gorse-io, repository
clap.cpp, workflow release.yml, environment pypi) for each of
clap-cpp, clap-cpp-cuda, clap-cpp-rocm and clap-cpp-vulkan, and configure
any required GitHub pypi environment approvals. Prereleases only attach assets.
The release workflow updates the version in python/pyproject.toml and all three
exact extra dependencies together from the normalized release tag. The backend
helper copies that version into each backend distribution. One publisher uploads
the verified CPU and GPU artifacts; existing PyPI versions cannot be overwritten.
1 maintainer
Metadata
1 maintainer
Release files for clap-cpp 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
Total release size: 39.5 MB
Release files / clap_cpp-0.1.1-cp314-cp314-win_amd64.whl
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