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README.md

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+---
+license: other
+pretty_name: CUDA Extension Wheelhouse
+tags:
+- wheels
+- cuda
+- pytorch
+- prebuilt
+viewer: false
+---
+
+# CUDA Extension Wheelhouse
+
+Prebuilt Python **wheels** for CUDA / PyTorch extensions
+(`cumesh`, `flash_attn`, `flex_gemm`, `natten`, `nvdiffrast`, `nvdiffrec_render`,
+`o_voxel`). Compiling these from source dominates install time — often **hours**
+on a single machine. This dataset is a shared cache so machines and CI can
+**build once, then reuse the wheel** and skip the compile entirely.
+
+Built for GPU archs `sm75`, `sm80`, `sm89`, `sm120` against `torch2.7`/`torch2.9`
+(CUDA 12.8), for CPython `cp310` and `cp312`.
+
+## Why a wheel can't just be cached by filename
+
+A compiled-extension wheel's runnability depends on **four** axes, but the wheel
+filename only encodes **two** (dist name + Python ABI tag). The other two — the
+**GPU compute architecture** and the **torch version it was ABI-linked against** —
+are invisible in the name. A wheel built for `sm120` / `torch2.9` installs fine on
+`sm89` / `torch2.7` and then dies at the first kernel launch
+(`no kernel image available`). So wheels are stored under a path that carries
+arch + torch.
+
+## Layout
+
+```
+<package>/sm<arch>/torch<major.minor>-cu<cuda>/<wheel>.whl
+```
+
+Examples:
+
+```
+flash_attn/sm89/torch2.9-cu128/flash_attn-2.8.3+cu128torch2.9-cp312-cp312-linux_x86_64.whl
+nvdiffrast/sm89/torch2.9-cu128/nvdiffrast-0.4.0-cp312-cp312-linux_x86_64.whl
+natten/sm120/torch2.7-cu126/natten-0.21.0-cp310-cp310-linux_x86_64.whl
+```
+
+- `sm<arch>` — GPU compute capability of the card the wheel runs on (e.g. `sm89`
+  for Ada / RTX 40xx, `sm120` for Blackwell). Keyed off the **real GPU**, not a
+  multi-arch build list.
+- `torch<mm>-cu<cuda>` — the torch + CUDA the extension was linked against
+  (e.g. `torch2.9-cu128`).
+- The Python ABI tag (`cp310`, `cp312`, …) lives in the wheel filename itself.
+
+## Usage
+
+Download a specific wheel:
+
+```python
+from huggingface_hub import hf_hub_download
+
+path = hf_hub_download(
+    repo_id="DoctorPopi/python_wheelhouse",
+    repo_type="dataset",
+    filename="flash_attn/sm89/torch2.9-cu128/flash_attn-2.8.3+cu128torch2.9-cp312-cp312-linux_x86_64.whl",
+)
+# then: pip install --force-reinstall --no-deps <path>
+```
+
+> Install compiled wheels with `--force-reinstall --no-deps`: several declare an
+> unpinned `torch` requirement and a bare reinstall would clobber the env's pinned
+> torch, breaking every other C-extension built against the original ABI.
+
+## Licensing
+
+Each wheel is a build of its **upstream project** and remains under that project's
+own license (e.g. natten, nvdiffrast, flash-attention each have their own terms).
+This dataset only redistributes compiled artifacts for convenience; refer to each
+package's upstream repository for license terms.