Add Windows ARM64 CPU support for TorchSharp#1549
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alinpahontu2912 wants to merge 3 commits intodotnet:mainfrom
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Add Windows ARM64 CPU support for TorchSharp#1549alinpahontu2912 wants to merge 3 commits intodotnet:mainfrom
alinpahontu2912 wants to merge 3 commits intodotnet:mainfrom
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Add support for building, packaging, and distributing TorchSharp on Windows ARM64 (CPU-only, no CUDA). This enables .NET developers on Windows ARM64 devices to use TorchSharp with the stable LibTorch 2.10.0 release. Key changes: - MSBuild: Add win-arm64 RID mapping, archive name, and cmake path (ARM64 archive has different layout: lib/ instead of libtorch/lib/) - Native build: Enable ARM64 cross-compilation from x64 via MSVC amd64_arm64 toolchain and CMake -A ARM64 - Runtime: Detect win-arm64 in Torch.cs nativeRid for correct native library loading - NuGet: Add libtorch-cpu-win-arm64 package and update libtorch-cpu meta-package - CI: Add Windows ARM64 PR validation and native build pipeline jobs (cross-compiled on x64 agents) - LibTorch: ARM64 uses armpl_lp64.dll (ARM Performance Libraries) instead of Intel OpenMP (libiomp5md.dll) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Pull request overview
Adds Windows ARM64 (CPU-only) support across TorchSharp’s runtime RID detection, build/packaging scripts, redist file lists, and CI packaging pipelines to enable building and distributing win-arm64-native assets.
Changes:
- Add
win-arm64runtime RID detection and new libtorch-cpu win-arm64 packaging inputs (SHA + NuGet project). - Update MSBuild/native build scripts for ARM64 cross-compilation and ARM64-specific LibTorch archive layout.
- Extend Azure Pipelines to validate/build and to produce/package Windows ARM64 artifacts.
Reviewed changes
Copilot reviewed 11 out of 11 changed files in this pull request and generated 4 comments.
Show a summary per file
| File | Description |
|---|---|
| src/TorchSharp/Torch.cs | Detect win-arm64 for native package/runtime selection. |
| src/Redist/libtorch-cpu/libtorch-win-arm64-shared-with-deps-2.10.0%2Bcpu.zip.sha | Adds SHA pin for the Windows ARM64 LibTorch CPU archive. |
| src/Redist/libtorch-cpu/libtorch-cpu.proj | Adds ARM64-specific Windows DLL list and archive layout differences. |
| src/Native/gen-buildsys-win.bat | Adds CMake generator arch selection for ARM64. |
| src/Native/build.cmd | Enables MSVC cross-compilation setup for ARM64 and passes ARM64 through to CMake. |
| pkg/pack.proj | Adds packaging warning for missing win-arm64 TorchSharp native assets. |
| pkg/libtorch-cpu/libtorch-cpu.nupkgproj | Includes the new win-arm64 libtorch-cpu package as a dependency. |
| pkg/libtorch-cpu-win-arm64/libtorch-cpu-win-arm64.nupkgproj | New NuGet packaging project for libtorch-cpu-win-arm64. |
| azure-pipelines.yml | Adds PR validation job and packaging-stage job/artifact handling for Windows ARM64. |
| Directory.Build.targets | Adds ARM64 Windows CPU native dependency list for examples/tests. |
| Directory.Build.props | Adds win-arm64 RID mapping, ARM64 archive naming, and ARM64-specific CMake path. |
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- Use ProcessArchitecture instead of OSArchitecture for nativeRid to correctly handle x64 emulation on ARM64 Windows - Add missing '-c Release' configuration to Windows_arm64 CI job - Consolidate duplicate TargetRuntimeID blocks into single block with mutually exclusive conditions - Update VS version list in gen-buildsys-win.bat usage text to include VS2022 and VS2026 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
The job template appends \ to buildScript, so including 'Release' after '-c' resulted in 'dotnet build ... -c Release Release', where the trailing 'Release' was interpreted as a project path (MSB1009). Remove the explicit 'Release' so the template provides it, matching the pattern used by the MacOS_arm64 job. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Fixes #945
Add support for building, packaging, and distributing TorchSharp on Windows ARM64 (CPU-only, no CUDA). This enables .NET developers on Windows ARM64 devices to use TorchSharp with the stable LibTorch 2.10.0 release.
Key changes: