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wasmedge
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File wasmedge.changes of Package wasmedge
------------------------------------------------------------------- Tue Jul 16 08:47:26 UTC 2024 - Jan Engelhardt <jengelh@inai.de> - Add fmt11.patch to resolve FTBFS ------------------------------------------------------------------- Sun Nov 26 11:32:45 UTC 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 12:40:52 UTC 2023 - Alexandre Vicenzi <alexandre.vicenzi@suse.com> - Initial revision
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