fix: default distributions to automatic GPU support with CPU fallback
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@@ -86,6 +86,14 @@ search starts a model process; the desktop retains a prewarmed query worker.
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## Cross-compilation and native release matrix
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Normal distribution worker builds and staging default to `auto`: Metal on
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macOS, Vulkan on Windows/Linux, with CPU fallback in the same application.
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Users do not choose a CPU/GPU edition or rebuild for their graphics card.
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Windows/Linux build machines need the Vulkan SDK including `glslc`; absence
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fails release preparation instead of quietly generating a CPU-only runtime.
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The compilation SDK is not an end-user requirement. Explicit `--backend cpu`
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commands in the VM development sections are internal test configurations.
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The shared Rust engine/service has no GUI dependency. Install a destination
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Rust target with `rustup target add TARGET`, then build using
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`cargo build -p searchi-cli --target TARGET --locked`. This also requires the
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@@ -49,6 +49,10 @@ Status: implementation started; no production release yet. Windows VM tests use
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- [ ] Isolated extraction workers with timeouts and resource ceilings.
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## 5. Release gates
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- [x] Normal worker build/staging defaults to hardware-detecting auto with CPU
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fallback; missing Vulkan/glslc fails configuration rather than hiding GPU loss.
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- [ ] Provision release-build GPU SDKs and verify one hardware-detecting package
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per OS/architecture, including missing-driver fallback and dependency closure.
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- [x] Windows desktop archive packager includes explicit runtime/helper files
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and notices, checks architecture and records per-file checksums; excludes
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model caches and user data. Controlled packaging regression tests pass.
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+8
-1
@@ -33,6 +33,13 @@ an external OpenMP runtime. Production CMake supports cpu, auto, metal, vulkan,
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and cuda; CPU builds force GPU flags off. Runtime/provider parity and packaging
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on other operating systems remain independent release checks.
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The normal build/staging default is `auto`, shipping GPU support together with
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CPU fallback: Metal on macOS, Vulkan on Windows/Linux. Runtime detection chooses
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the usable device; users do not need hardware-specific builds. Release builders
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must have the relevant compilation SDK. Missing Vulkan/glslc now fails the
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normal build rather than silently omitting acceleration. Actual GPU parity,
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loader/dependency packaging and no-driver CPU fallback still require evidence.
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| Artifact | Bytes | SHA256 |
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| --- | ---: | --- |
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| embeddinggemma-2-Q8_0.gguf | 309,855,456 | 2188ac1deca4b77dffefd603c2776a9d76d9d74ec01841392982ebb840b09135 |
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@@ -264,4 +271,4 @@ point-localization failures and unsuppressed no-answer results. Strong file
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recall is insufficient for accurate spoken-topic navigation. A ten-second audio
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experiment reduces some distances but does not close that gate; it is not a
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new default. Quality policies must be validated on held-out data rather than
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inventing thresholds from the evaluation corpus.
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inventing thresholds from the evaluation corpus.
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+9
-2
@@ -11,8 +11,15 @@ The Windows archive packager has two controlled Python regressions: complete
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required file collection with checksum verification and user-settings exclusion,
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and mismatched worker architecture preserving the previous archive. Both pass.
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An actual CPU-only Tauri embedded-frontend Release build has been started;
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archive creation, native launch outside the source tree and clean-machine
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installation remain unverified until its completion and separate checks.
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the embedded-frontend Release application build completed in 7m 25s. CPU-only
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describes its VM test context, not a supported end-user edition. The normal
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worker build/staging defaults are now auto and require GPU compilation support
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alongside CPU fallback. The previously staged CPU worker remains an internal
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test artifact; archive creation, automatic-runtime dependency packaging, native
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launch outside the source tree and clean-machine installation remain unverified.
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Actual `auto` configuration correctly rejected this VM's missing Vulkan library,
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headers and `glslc`; no GPU-capable worker/package is claimed. Both staging
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regressions still pass using explicit internal CPU test configuration.
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Offline staging now verifies the native license and every bundled Google asset
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before modifying resources. Two Python regressions verify missing-model rejection
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