Slang-Torch Package
This package allows you to use Slang as a language to write PyTorch kernels.
Slang user guide: https://shader-slang.com/slang/user-guide/
slangtorch documentation: https://shader-slang.org/slang/docs/user-guide/a1-02-slangpy
Installation Instructions
Note: Running slangtorch requires a CUDA-capable GPU.
- Install the CUDA Toolkit v12.0 or later
- Install PyTorch v2.x with CUDA support from https://pytorch.org/.
pip install slangtorchto install slangtorch.
Building Wheels Locally
To build the slangtorch package locally, run the build-package-local.sh script.
This will pull the latest Slang binaries and create a wheel for both Linux and Windows.
Metadata
Release files for slangtorch 1.3.22
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| slangtorch-1.3.22-py3-none-win_amd64.whl | Python 3 | none | Windows x86-64 | Details for slangtorch-1.3.22-py3-none-win_amd64.whl |
| slangtorch-1.3.22-py3-none-manylinux_2_28_aarch64.whl | Python 3 | none | Linux glibc 2.28+ ARM64 | Details for slangtorch-1.3.22-py3-none-manylinux_2_28_aarch64.whl |
| slangtorch-1.3.22-py3-none-manylinux_2_27_x86_64.whl | Python 3 | none | Linux glibc 2.27+ x86-64 | Details for slangtorch-1.3.22-py3-none-manylinux_2_27_x86_64.whl |
Total release size: 42.5 MB
Release files / slangtorch-1.3.22-py3-none-win_amd64.whl
| Download URL | slangtorch-1.3.22-py3-none-win_amd64.whl |
|---|---|
| Size | 12.6 MB |
| Tags | Python 3 Windows x86-64 |
|
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Transparency logRelease files / slangtorch-1.3.22-py3-none-manylinux_2_28_aarch64.whl
| Download URL | slangtorch-1.3.22-py3-none-manylinux_2_28_aarch64.whl |
|---|---|
| Size | 14.7 MB |
| Tags | Linux glibc 2.28+ ARM64 Python 3 |
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twine/7.0.0 CPython/3.13.14
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| Download URL | slangtorch-1.3.22-py3-none-manylinux_2_27_x86_64.whl |
|---|---|
| Size | 15.2 MB |
| Tags | Linux glibc 2.27+ x86-64 Python 3 |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
twine/7.0.0 CPython/3.13.14
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