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AIKernel.Cuda13.0.Libtorch2.12.win-x64 0.0.5

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@egumaru egumaru released this 06 Jun 15:03
· 1 commit to main since this release
v0.0.5
a73c5d6

June 6th, 2026 — The GPU finally spoke.
2026年6月6日 — GPU はついに応答した。

As the Core achieved symmetry, the CUDA Capability returned its first external-world handshake.

Core が対称性を獲得したその瞬間、 CUDA Capability は初めて 外部世界としての応答 を返した。

On this symmetric day, CPU and GPU stood as two parallel execution domains.

この対称的な日に、 CPU と GPU は 二つの並列実行系 として立ち上がった。

Capability is not part of the OS. Capability is the outside world.

Capability は OS の内部ではない。 Capability は 外部世界そのもの だ。

コード

[CUDA] Capability v0.0.5 loaded  
[CUDA] Backend: CUDA 13.0 / LibTorch 2.12  
[CUDA] Target: win-x64  
[CUDA] Native ABI handshake: OK  
[CUDA] Ready to accelerate semantic execution

Today, the GPU became an extension of the semantic runtime.
今日、GPU はセマンティックランタイムの延長として動き始めた。

AIKernel.Cuda13.0.Libtorch2.12.win-x64 0.0.5

Initial CUDA Capability release for AIKernel.

This release targets:

  • Windows win-x64
  • CUDA 13.0
  • LibTorch 2.12.0
  • .NET 10

Package model

This release uses split distribution:

  • NuGet.org: lightweight C# package
  • PyPI: lightweight Python wrapper package
  • GitHub Release asset: full CUDA runtime archive

NuGet package

The NuGet package is intended for C# consumers and includes:

  • Managed Capability assembly
  • libtorch_bridge.dll
  • loader.json
  • Dynamic runtime loading logic

It does not include:

  • LibTorch
  • CUDA runtime
  • cuDNN
  • cuBLAS
  • other large runtime DLLs

Install:

dotnet add package AIKernel.Cuda13.0.Libtorch2.12.win-x64 --version 0.0.5

Python package

The Python wrapper is published separately through pip:

pip install aikernel-cuda13-libtorch2-12-win-x64

Import:

import aikernel_cuda13_libtorch2_12_win_x64 as cuda_capability

The Python wheel includes the lightweight Capability surface:

  • Managed Capability DLL
  • libtorch_bridge.dll
  • bundled loader.json
  • loader helper APIs

It does not include the large CUDA runtime payload.

Runtime archive

The GitHub Release runtime archive contains the large runtime payload:

  • LibTorch CUDA runtime
  • CUDA Runtime
  • cuDNN
  • cuBLAS
  • libtorch_bridge.dll
  • auto-configured loader.json
  • third-party notices

Extract the archive beside the consuming application, or set:

$env:AIKERNEL_CUDA13_LIBTORCH2_12_WIN_X64_LOADER="C:\path\to\loader.json"

Validation

  • .NET tests passed: 12/12
  • Python tests passed: 4/4
  • Python wheel passed twine check
  • NuGet package verified to exclude large CUDA runtime DLLs
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