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libwasmedge0-0.13.5-1.3 RPM for x86_64

From OpenSuSE Tumbleweed for x86_64

Name: libwasmedge0 Distribution: openSUSE Tumbleweed
Version: 0.13.5 Vendor: openSUSE
Release: 1.3 Build date: Fri Feb 2 21:05:22 2024
Group: System/Libraries Build host: i03-ch1b
Size: 1345772 Source RPM: wasmedge-0.13.5-1.3.src.rpm
Packager: https://bugs.opensuse.org
Url: https://github.com/WasmEdge/WasmEdge
Summary: WasmEdge library
Library for WasmEdge.

Provides

Requires

License

Apache-2.0 AND CC0-1.0

Changelog

* Sun Nov 26 2023 Dirk Müller <dmueller@suse.com>
  - update to 0.13.5:
    * [Component] share loading entry for component and module
      (#2945)
    * Initial support for the component model proposal.
    * This PR allows WasmEdge to recognize the component and module
      format.
    * Provide options for enabling OpenBLAS, Metal, and cuBLAS.
    * Bump llama.cpp to b1383
    * Build thirdparty/ggml only when the ggml backend is enabled.
    * Enable the ggml plugin on the macOS platform.
    * Introduce `AUTO` detection. Wasm application will no longer
      need to specify the hardware spec (e.g., CPU or GPU). It will
      auto-detect by the runtime.
    * Unified the preload options with case-insensitive matching
    * Introduce `metadata` for setting the ggml options.
    * The following options are supported:
    * `enable-log`: `true` to enable logging. (default: `false`)
    * `stream-stdout`: `true` to print the inferred tokens in the
      streaming mode to standard output. (default: `false`)
    * `ctx-size`: Set the context size the same as the `--ctx-size`
      parameter in llama.cpp. (default: `512`)
    * `n-predict`: Set the number of tokens to predict, the same as
      the `--n-predict` parameter in llama.cpp. (default: `512`)
    * `n-gpu-layers`: Set the number of layers to store in VRAM,
      the same as the `--n-gpu-layers` parameter in llama.cpp.
      (default: `0`)
    * `reverse-prompt`: Set the token pattern at which you want to
      halt the generation. Similar to the `--reverse-prompt`
      parameter in llama.cpp. (default: `""`)
    * `batch-size`: Set the number of batch sizes for prompt
      processing, the same as the `--batch-size` parameter in
      llama.cpp. (default: `512`)
    * Notice: Because of the limitation of the WASI-NN proposal,
      there is no way to set the metadata during the loading
      process. The current workaround will re-load the model when
      `n_gpu_layers` is set to a non-zero value.
    * Installer: Support WASI-NN ggml plugin on both macOS Intel
      model (CPU only) and macOS Apple Silicon model. (#2882)
    * [Java Bindings] provide platform-specific jni and jar for
      Java bindings (#2980)
    * [C API]:
    * Provide getData API for FunctionInstance (#2937)
    * Add the API to set WASI-NN preloads. (#2827)
    * [Plugin]:
    * [zlib]:
    * initial support of the zlib plugin (#2562)
    * With a simple building guide and basic working examples
    * [MSVC] Support MSVC for building WasmEdge
    * [AOT] Support LLVM 17
    * Fixed issues:
    * [Installer]: Double quote the strings to prevent splitting in
      env file (#2994)
    * [AOT]:
    * Validate AOT section header fields
    * Add invariant attribute for memory and global pointer
    * [C API]:
    * Fix the wrong logic of getting types from exports.
    * [Example] Fix get-string with the latest C++ internal getSpan
      API. Fixes #2887 (#2929)
    * [CI] install llvm@16 to fix macOS build (#2878)
    * Misc:
    * [Example] Update wit-bindgen version from 0.7.0 to 0.11.0
      (#2770)
    * Thank all the contributors who made this release possible!
    * dm4, hydai, Lîm Tsú-thuàn, Meenu Yadav, michael1017, proohit,
      Saikat Dey, Shen-Ta Hsieh, Shreyas Atre, Wang Jikai, Wck-
      iipi, YiYing He
    * If you want to build from source, please use
      WasmEdge-0.13.5-src.tar.gz instead of the zip or tarball
      provided by GitHub directly.
    * ### 0.13.4 (2023-09-05)
    * Features:
    * [C API] Provide API for registering the Pre- and Post- host
      functions
    * Pre host function will be triggered before calling every host
      function
    * Post host function will be triggered after calling every host
      function
    * [CI] Update llvm-windows from 13.0.3 to 16.0.6
    * WasmEdge supports multiple LLVM version, users can choose
      whatever they want.
    * This change is for CI.
    * [CI] build alpine static libraries (#2699)
    * This provides pre-built static libraries using musl-libc on
      alpine.
    * [Plugin] add wasmedge\_rustls\_plugin (#2762)
    * [Plugin] implement opencvmini `rectangle` and `cvtColor`
      (#2705)
    * [Test] Migrating spec test from RapidJSON to SIMDJSON (#2659)
    * [WASI Socket] AF\_UNIX Support (#2216)
    * This is disable by default.
    * How to enable this feature:
    * CLI: Use `--allow-af-unix`.
    * C API: Use `WasmEdge\_ConfigureSetAllowAFUNIX`.
    * [WASI-NN] Add ggml backend for llama (#2763)
    * Integrate llama.cpp as a new WASI-NN backend.
    * [WASI-NN] Add load\_by\_name implementation into wasi-nn
      plugin (#2742)
    * Support named\_model feature.
    * [WASI-NN] Added support for Tuple Type Output Tensors in
      Pytorch Backend (#2564)
    * Fixed issues:
    * [AOT] Fix fallback case of `compileVectorExtAddPairwise`.
      (#2736)
    * [AOT] Fix the neontbl1 codegen error on macOS (#2738)
    * [Runtime] fix memory.init oob. issue #2743  (#2758)
    * [Runtime] fix table.init oob. issue #2744 (#2756)
    * [System] Remove "inline" from Fault::emitFault (#2695)
      (#2720)
    * [Test] Use std::filesystem::u8path instead of a `const char*`
      Path (#2706)
    * [Utils] Installer: Fix checking of shell paths (#2752)
    * [Utils] Installer: Formatting and Better source message
      (#2721)
    * [WASI] Avoid undefined function `FindHolderBase::reset`
    * [WASI] itimerspec with 0 timeout will disarm timer, +1 to
      workaround (#2730)
* Mon Aug 21 2023 Alexandre Vicenzi <alexandre.vicenzi@suse.com>
  - Initial revision

Files

/usr/lib64/libwasmedge.so.0
/usr/lib64/libwasmedge.so.0.0.3


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Fabrice Bellet, Sat Mar 30 23:52:28 2024