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| Name: libwasmedge0 | Distribution: openSUSE Tumbleweed |
| Version: 0.16.1 | Vendor: openSUSE |
| Release: 2.5 | Build date: Tue Apr 14 20:41:38 2026 |
| Group: System/Libraries | Build host: reproducible |
| Size: 1984956 | Source RPM: wasmedge-0.16.1-2.5.src.rpm |
| Packager: https://bugs.opensuse.org | |
| Url: https://github.com/WasmEdge/WasmEdge | |
| Summary: WasmEdge library | |
Library for WasmEdge.
Apache-2.0 AND CC0-1.0
* Tue Apr 14 2026 Dirk Müller <dmueller@suse.com>
- add gcc16.patch (bsc#1262067)
* Sat Apr 11 2026 Dirk Müller <dmueller@suse.com>
- update to 0.16.1:
* fix(tools): revert the proposal disable options
* fix(tools): wrong option name for threads proposal
* test(example): update mandelbrot-set-in-threads example
* ci: use macos-15-intel as the ci runner, instead of
macos-14-large
* feat(installer,v2): add version-aware manylinux support for
0.15.0+
* feat(installer,v2): support WasmEdge 0.15.0 tarball structure
* [CAPI]
* feat(api): allow redirect of stdin, stdout, and stderr in C
SDK
* feat(api): refactor the api header file
* feat(api): new api for setting wasm standard in config
* [WASI]
* feat(wasi): export wasi module to calling frame
* feat(wasi): don't handle append flag ourself
* [WASI-NN]
* feat(wasi-nn): bump llama.cpp b7090
* feat(wasi-nn): bump wasi-nn plugin to 0.1.34
* feat(wasi-nn): support gpt-oss
* feat(wasi-nn): remove llama_context_default_params, use
default common_params value
* feat(wasi-nn,bitnet): add BitNet backend support
* feat(wasi-nn,ggml): support MiniCPM-V4.5
* feat(wasi-nn,MLX): support whisper for MLX backend
* feat(wasi-nn,ggml): adjust seed type
* feat(wasi-nn): provide WASMEDGE_FORCE_DOWNLOAD_SIMDJSON to
avoid using system simdjson
* fix(WASI-NN/MLX): change loadBytesFromFile ifstream
* refactor(WASI-NN/GGML): parse metadata
* refactor(WASI-NN/GGML): refactor function structure
* [Plugin]
* feat(plugin): add WasmEdgeIOstream API
* feat(plugin): bump the dependencies of wasmedge-ffmpeg,
ffmpeg to 7.1
* [AOT]
* feat(aot): add support for llvm 21
* [Tools]
* feat(tools): tool options for wasm 3.0
* feat(compiler): gc proposal - support array instructions
* feat(compiler): gc proposal - support br instructions
* feat(compiler): gc proposal - support ref instructions
* feat(compiler): gc proposal - support struct instructions
* feat(compiler): support GC types in AOT compiler
* refactor(compiler): refine the value load/store of allocated
array
* [Component Model]
* Update import name rule (spec changes)
* Partial resource support
* Support more WASM interface types
* Validate instantiate imports and arguments
* Validate CoreInstance Section, Improve Context, add tests for
nested components
* Add validation for sortidx
* refactor(ast,loader): unify the coding style of canonical in
component model
* refactor(ast): adjust the AST nodes for component model and
add implementation comments
* refactor(ast): rename the basic types of component model
* refactor(loader,ast): adjust the AST nodes for component
model
* refactor(loader): fix the error info and re-order the
functions of component model loader
* feat(component-model/validation): validate alias section
* [Executor]
* Save thread-local variables before executing the nested VM
call
* Merge `prepare` and `SavedThreadLocal`
* Re-order and lint the instructions.
* refactor(executor): move the packVal/unpackVal functions
* refactor(executor): refine the logging codes
* refactor(executor,compiler): reduce the redundant code
between aot proxy and interpreter
* fix(executor): add checks before dumpStackTrace
* refactor(runtime,executor): apply the new component AST
structures in the instantiation phase
* [Runtime]
* coredump: Implement WASM coredump feature when the trap
occurs
* coredump: Fix type conversion issue
* feat(ast,runtime): apply some resource type and component
hostfunc conversion
* [Installer]
* v1: Show error message when it is triggered on Windows
* v1: Update the assets' URLs for the 0.13.5 and 0.14.0 ggmlbn
* v1: add plugin wasi\_nn-tensorflowlite for mac arm from
0.14.1
* v2: Enhance the message for -c/--ggmlcuda
* v2: Provide a better output for the usage of the --version
option
* v2: Update the assets' URLs for the 0.14.1 ggmlbn
* v2: Use 0.14.1 by default
* v2: Enhance the troubleshooting message
* [LLVM] Support LLVM 19
* [Log]
* Support all log levels in the API and add user callback
support
* Allow unregistering the log callback function.
* [Loader] Support more proposals in Serializer:
* Add Exception Handling proposal
* Add tests for relaxed-SIMD instructions
* Add Function References Instructions and their tests
* Add GC proposal types and instructions with corresponding
tests
* Add tests for Typed Function References proposal's types
* Add tests for composite and sub types
* Fix nested component load
* unify the coding style of EXPECTED\_TRY
* use error instead of info for error logging
* [Validator]
* [Validator] Add detection of missing atomic instructions for
memory alignment.
* [Validator] Non-imported global is valid in const expression
validation with function-reference proposal.
* [Validator] Fix the error code of call\_indirection
instruction validation.
* refactor(validator): re-design the validator structures and
apply the new component model AST
* refactor(ast,loader): re-design the ast structures in
component model
* [Plugin] Image: Use `stb_image` to replace libpng and
libjpeg.
* Bump to f056911
* chore(plugin): wasmedge-images: bump to stb\_image\_resize2
2.14
* [Plugin] Stable Diffusion:
* Bump to dcf91
* Add more tests
* Add option for enabling OpenMP
* Fix the build failure on macOS Metal
* Fix reuse context segmentation fault
* Support clip\_g option
* [Plugin] New proposals: Implement wasi-poll poll-oneoff
* [Plugin] wasm\_bpf: Fix error of poisoned identifier
* [WASI-NN]
* Add finalize\_execution\_context function
* Bump plugin version to 0.1.20
* Fix incorrect function dispatch.
* Refactor dependency CMake
* Refactor the graph and context management mechanism for all
backends.
* Apply WASMEDGE\_WASI\_NN\_VERSION to the plugin's version
* Update tensor type index
* [WASI-NN] Torch backend:
* Update PyTorch version
* Support Torch AOTI
* [WASI-NN] llama.cpp backend:
* Bump llama.cpp to b5896
* Do not append SEP when getting embeddings
* Fix accessing freed data after unload.
* Fix `fmt::format` error in embedding
* Fix reloading llama context
* Reload llama context if embedding status changes
* Support new vision models: Qwen2VL
* Support new options: seed, split-mode, and warmup
* Disable warmup by default to match previous behavior
* Use the cached image embed instead to reduce costs
* Support text-to-speech
* Add TTS speaker profile support
* Check the projection model before loading
* use the new libmtmd for multimodal models
* clear the context before mtmd evaluation
* fix n\_ubatch assignment
* [WASI-NN] whisper.cpp backend:
* Fix the token timestamp option
* Move the whisper.cpp linking out of the header.
* Add more options: no-timestamp and audio-ctx
* Support Metal on macOS
* Support CUDA on Linux
* Fix the modified test file path
* [WASI-NN] mlx backend:
* Support `mlx` backend for the WASI-NN plugin
* support gemma3 for mlx plugin
* support quantized gemma3 model
* feat(WASI-NN/mlx): support tensor input
* [WASI-NN] ChatTTS backend:
* Fix GIL problem and do not call Py\_Finalize
* Update compute function to be compatible with v0.2.1
* [WASI-NN] piper backend:
* Extend the json\_input functionality to allow setting various
parameters at runtime
* Fix arguments for target linking and including in piper patch
* [WASI-NN] openvino backend:
* Update to 2025.0.0
* Add openvino-genai support
* Add dependency installer for openvino-genai
* feat(wasi-nn/openvino): add device string retrieval and
improve input tensor handling
* [Debug] Add stack trace while an error occurred
* [CAPI]
* feat(c-api): add method to delete registered modules from VM
* Fixed issues:
* [Compiler] Use pointer to pointer of data of memory instance
in execution context for passing into AOT mode.
* [Loader] Fix the wrong default elem type.
* [Loader] Fix the error code and detection of malformed memory
operation flags.
* [Loader] Fix the element segment format in wasm-1.0.
* [Loader] Sections in module should in ordered.
* [Loader] The multi-value checking should in validation phase.
* [LLVM] Check unsupported proposals in configure
* [LLVM] Ignore C++17 deprecated warning in <ciso646> header
* [LLVM] `LLVMX86_MMXTypeKind` moved in LLVM-20
* [LLVM] Correctness the bit cast of relaxed-simd instructions
* [WASI] win: Use `ReadFile/WriteFile` instead of
`ReadFileEx/WriteFileEx`
* [WASI-crypto] Fix: secretkey\_export on RSA with
ENCODING\_PKCS8
* [VM] Support VM.getFunctionList for the component instance
* fix: add Python 3.9 setup for OpenWRT build dependencies
* fix(executor): fix the copy of valtype in the ref\_test
instructions
* fix(executor): pick the first nan value for min and max
instructions
* fix(loader,validator,test): shared memory must-have-max case
should be in validation phase.
* fix(validator): enforce subtyping depth limit during
validation
* fix(wasi\_nn): update input tensor shape and simplify model
compilation
* fix(CAPI): no longer include stdbool.h after C23
* fix(wasi-nn, ggml): Empty generation returned if n\_predict
is -1 or -2
* fix: the uninstaller can handle the .bash\_profile even if it
is not a regular file.
* ci(uninstaller): verify the symlink uninstallation
* Tue Jul 16 2024 Jan Engelhardt <jengelh@inai.de>
- Add fmt11.patch to resolve FTBFS
* 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
/usr/lib64/libwasmedge.so.0 /usr/lib64/libwasmedge.so.0.1.0
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Fabrice Bellet, Sun Aug 2 01:54:38 2026