wasm-micro-runtime/samples
2023-05-26 07:53:39 +08:00
..
basic Expose wasm_runtime_call_indirect (#1969) 2023-02-20 18:56:55 +08:00
file Remove a file test outside of the specs and improve CI reporting (#2057) 2023-03-24 21:24:23 +08:00
gui Add more types and APIs for attr_container (#1841) 2023-01-09 21:05:30 +08:00
littlevgl Enhance cmake makefiles (#1390) 2022-08-18 16:27:01 +08:00
multi-module Use cmake POSITION_INDEPENDENT_CODE instead of hardcoding -pie -fPIE (#1598) 2022-10-19 01:51:18 +08:00
multi-thread Use shared memory lock for threads generated from same module (#1960) 2023-02-16 11:54:19 +08:00
native-lib samples/native-lib: use the same shared lib name as product-mini (#1669) 2022-11-01 21:55:43 +08:00
ref-types Fix typo in samples/ref-types (#2236) 2023-05-26 07:53:39 +08:00
sgx-ra Update cmake files and wamr-test-suites to support collect code coverage (#1992) 2023-02-28 17:38:18 +08:00
simple Enhance/Fix sample socket-api and workload (#2006) 2023-03-08 16:36:08 +08:00
socket-api Enhance/Fix sample socket-api and workload (#2006) 2023-03-08 16:36:08 +08:00
spawn-thread Use cmake POSITION_INDEPENDENT_CODE instead of hardcoding -pie -fPIE (#1598) 2022-10-19 01:51:18 +08:00
wasi-threads Update wasi-libc version in CI and implement custom sync primitives (#2028) 2023-03-26 09:03:26 +08:00
wasm-c-api CI: Add ubsan checks to samples/wasm-c-api (#2147) 2023-04-26 09:16:29 +08:00
wasm-c-api-imports Enhance/Fix sample socket-api and workload (#2006) 2023-03-08 16:36:08 +08:00
workload Update sample workload tensorflow (#2101) 2023-04-03 14:56:46 +08:00
README.md Update documents (#2100) 2023-04-03 15:54:44 +08:00

Samples

  • basic: Demonstrating how to use runtime exposed API's to call WASM functions, how to register native functions and call them, and how to call WASM function from native function.
  • simple: The runtime is integrated with most of the WAMR APP libraries, and a few WASM applications are provided for testing the WAMR APP API set. It uses built-in libc and executes apps in interpreter mode by default.
  • file: Demonstrating the supported file interaction API of WASI. This sample can also demonstrate the SGX IPFS (Intel Protected File System), enabling an enclave to seal and unseal data at rest.
  • littlevgl: Demonstrating the graphic user interface application usage on WAMR. The whole LVGL 2D user graphic library and the UI application are built into WASM application. It uses WASI libc and executes apps in AOT mode by default.
  • gui: Move the LVGL library into the runtime and define a WASM application interface by wrapping the littlevgl API. It uses WASI libc and executes apps in interpreter mode by default.
  • multi-thread: Demonstrating how to run wasm application which creates multiple threads to execute wasm functions concurrently, and uses mutex/cond by calling pthread related API's.
  • spawn-thread: Demonstrating how to execute wasm functions of the same wasm application concurrently, in threads created by host embedder or runtime, but not the wasm application itself.
  • wasi-threads: Demonstrating how to run wasm application which creates multiple threads to execute wasm functions concurrently based on lib wasi-threads.
  • multi-module: Demonstrating the multiple modules as dependencies feature which implements the load-time dynamic linking.
  • ref-types: Demonstrating how to call wasm functions with argument of externref type introduced by reference types proposal.
  • wasm-c-api: Demonstrating how to run some samples from wasm-c-api proposal and showing the supported API's.
  • socket-api: Demonstrating how to run wasm tcp server and tcp client applications, and how they communicate with each other.
  • native-lib: Demonstrating how to write required interfaces in native library, build it into a shared library and register the shared library to iwasm.
  • sgx-ra: Demonstrating how to execute Remote Attestation on SGX with librats, which enables mutual attestation with other runtimes or other entities that support librats to ensure that each is running within the TEE.
  • workload: Demonstrating how to build and run some complex workloads, e.g. tensorflow-lite, XNNPACK, wasm-av1, meshoptimizer and bwa.