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@github-actions github-actions released this 15 Sep 06:06
· 18 commits to main since this release
v0.5.1
a273849
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Learn about vigilant mode.

same v0.5.1

下载 / Downloads

  • Windows x64 / Linux x64: standard includes CPU + optional OpenCL iGPU; cuda additionally includes CUDA.
  • macOS Apple Silicon: standard includes CPU + optional OpenCL iGPU. There is no CUDA support on macOS.
  • CUDA packages require a compatible NVIDIA driver, not a locally installed CUDA compiler. Standard packages need no CUDA runtime.
  • Windows packages target Windows 10/11 x64. Linux packages are built on Ubuntu 24.04 (glibc 2.39+). macOS packages target macOS 14+ ARM64.
  • Verify SHA256SUMS and build provenance before use. Archives include licenses and build-info.json with the exact source commit.

更新 / Changes

  • Reorganized the opt-in human --summary report into Results, Storage and I/O, Performance, Compute and routing, Online routing model, Workers, Model persistence, and Telemetry sections.
  • Added redundant semantic ANSI highlighting for structure, healthy state, warnings, errors, timings, and routing evidence. Plain output retains all meaning; NO_COLOR, per-stream TTY detection, and explicit color policy remain intact.
  • Preserved the complete current-run evidence, exact per-worker byte counters, legacy TSV results, raw key=value diagnostics, stream contracts, and exit codes.
  • Windows launcher now enumerates Visual Studio installations and accepts a CUDA host environment only after the selected nvcc compiles and links the same native C++20 probe used by the build. It no longer assumes the newest Visual Studio is compatible.
  • SAME_CUDA_MODE=auto visibly falls back to CPU only after all candidate host environments fail; strict on rejects the build. Explicit caller-owned toolchains remain untouched.

The Windows CUDA package path was locally validated with CUDA 12.8.93 and the Visual Studio 2022 x64 MSVC 19.44 host compiler; all 25 tests passed. Hosted release jobs independently rebuild and test every platform/flavor before publishing their artifacts. Hosted CI does not establish physical GPU performance.

扫描不删除文件；默认不递归。使用 same scan -r --summary 显式扫描子目录并查看完整分区报告。
Scanning never deletes input files; recursion is opt-in with same scan -r --summary.

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