AIKernel.Cuda13.0 v0.1.0

June 9th, 2026 — Deterministic tensors enter the graph.
2026年6月9日──決定論的 Tensor がグラフへ流入した。

CUDA 13.0 bindings enter the graph: deterministic tensor ops join the semantic pipeline without leaking device complexity.
CUDA 13.0 バインディングがグラフへ参入──デバイスの複雑性を漏らさず、決定論的 Tensor 演算が意味パイプラインに合流する。

[CUDA] Device Binding: attached
[CUDA] Tensor Ops: deterministic
[CUDA] Device Complexity: suppressed

Today, device computation becomes a first‑class deterministic component.
今日、デバイス計算は決定論的な第一級コンポーネントとなりました。

AIKernel.Cuda13.0 v0.1.0

This release publishes the AIKernel.Cuda13.0 external Capability package for Windows win-x64, LibTorch 2.12.0, and CUDA 13.0.

Packages

• AIKernel.Cuda13.0.Libtorch2.12.win-x64 0.1.0
• aikernel-cuda13-libtorch2-12-win-x64 0.1.0

Changes

• Switches AIKernel NuGet references to official published packages
• Uses AIKernel contract packages at 0.1.0
• Uses AIKernel Core runtime packages at 0.1.0.1
• Updates Python package dependency to aikernel-net>=0.1.0.1
• Aligns memory mapping integration with the official AIKernel.Core memory API
• Builds the managed Capability package and Python wrapper package

Runtime Notes

The NuGet package contains the managed Capability descriptor/invoker, loader metadata, NuGet icon, and native bridge when available.

LibTorch 2.12.0 and CUDA 13.0 runtime binaries are distributed separately through GitHub Release archives. AIKernel.Core remains CUDA-free.

Verification

• dotnet restore AIKernel.Cuda13.0.Libtorch2.12.win-x64.slnx --no-cache
• dotnet test AIKernel.Cuda13.0.Libtorch2.12.win-x64.slnx -c Release --no-restore
• py -m pytest
• py -m build --wheel
• py -m twine check dist\aikernel_cuda13_libtorch2_12_win_x64-0.1.0-py3-none-win_amd64.whl