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Release v0.110.1

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@github-actions github-actions released this 06 Jul 19:53
v0.110.1
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Changes in v0.110.1

Bug Fixes

  • LayerNorm/RMSNorm normalize over gamma dims for rank > 2 (fixes GPU transformer forward) (#730)
  • DetectVendor must prefer CUDA over OpenCL device-0 vendor on mixed boxes (#733)
  • CUDA Dropout dropped 100% of activations (mask never generated) + stale seed (#732)
  • route backward row-parallelism through the cooperative pool (fixes single-core training) (#729)

Performance Improvements

  • cache per-op env-var reads + skip zero-fill on small RentUninitialized (#731)

Packages

  • AiDotNet.Native.CLBlast
  • AiDotNet.Native.CUDA
  • AiDotNet.Native.CUDA.Fragments
  • AiDotNet.Native.CUDA.Fragments
  • AiDotNet.Native.CUDA.Fragments
  • AiDotNet.Native.CUDA.Fragments
  • AiDotNet.Native.CUDA.Fragments
  • AiDotNet.Native.CUDA.Fragments
  • AiDotNet.Native.CUDA.Fragments
  • AiDotNet.Native.CUDA.Fragments
  • AiDotNet.Native.MoltenVK
  • AiDotNet.Native.OneDNN
  • AiDotNet.Native.OpenBLAS
  • AiDotNet.Native.ROCm
  • AiDotNet.Tensors

Note: AiDotNet.Native.CUDA bundles the NVIDIA CUDA 12 runtime (cudart / cuBLAS / cuBLASLt / nvRTC, ~770MB). Because that exceeds nuget.org's 250 MB per-package limit, it ships as a small meta package plus a set of AiDotNet.Native.CUDA.Fragments.* chunk packages that are reassembled into the full DLLs at your build (win-x64) — just dotnet add package AiDotNet.Native.CUDA alongside AiDotNet.Tensors on NVIDIA GPU machines; the fragments restore automatically.
Note: AiDotNet.Native.ROCm requires ROCm installed on the target machine for the kernel library (~496MB).

Installation

dotnet add package AiDotNet.Tensors
Assets 17
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