Name	Name	Last commit message	Last commit date
parent directory ..
app-samples	app-samples
platforms	platforms
README.md	README.md

Build iwasm

iwasm is the executable binary built with WAMR VMcore supports WASI and command line interface. Refer to how to build wamr vmcore for all the supported CMAKE compilation variables.

If you are building for ARM architecture on a X86 development machine, you can use the CMAKE_TOOLCHAIN_FILE to set the toolchain file for cross compiling.

cmake .. -DCMAKE_TOOLCHAIN_FILE=$TOOL_CHAIN_FILE  \
         -DWAMR_BUILD_PLATFORM=linux    \
         -DWAMR_BUILD_TARGET=ARM

Refer to toolchain sample file wamr-app-framework/samples/simple/profiles/arm-interp/toolchain.cmake for how to build mini product for ARM target architecture.

If you compile for ESP-IDF, make sure to set the right toolchain file for the chip you're using (e.g. $IDF_PATH/tools/cmake/toolchain-esp32c3.cmake). Note that all ESP-IDF toolchain files live under $IDF_PATH/tools/cmake/.

Linux

First of all please install the dependent packages. Run command below in Ubuntu-22.04:

sudo apt install build-essential cmake g++-multilib libgcc-11-dev lib32gcc-11-dev ccache

Or in Ubuntu-20.04

sudo apt install build-essential cmake g++-multilib libgcc-9-dev lib32gcc-9-dev ccache

Or in Ubuntu-18.04:

sudo apt install build-essential cmake g++-multilib libgcc-8-dev lib32gcc-8-dev ccache

Or in Fedora:

sudo dnf install glibc-devel.i686

After installing dependencies, build the source code:

cd product-mini/platforms/linux/
mkdir build && cd build
cmake ..
make
# iwasm is generated under current directory

By default in Linux, the fast interpreter, AOT and Libc WASI are enabled, and JIT is disabled. And the build target is set to X86_64 or X86_32 depending on the platform's bitwidth.

There are total 6 running modes supported: fast interpreter, classi interpreter, AOT, LLVM JIT, Fast JIT and Multi-tier JIT.

(1) To run a wasm file with fast interpreter mode - build iwasm with default build and then:

iwasm <wasm file>

mkdir build && cd build
cmake .. -DWAMR_BUILD_INTERP=1
make

(2) To disable fast interpreter and enable classic interpreter instead:

mkdir build && cd build
cmake .. -DWAMR_BUILD_FAST_INTERP=0
make

(3) To run an AOT file, firstly please refer to Build wamrc AOT compiler to build wamrc, and then:

wamrc -o <AOT file> <WASM file>
iwasm <AOT file>

(4) To enable the LLVM JIT mode, firstly we should build the LLVM library:

cd product-mini/platforms/linux/
./build_llvm.sh     (The llvm source code is cloned under <wamr_root_dir>/core/deps/llvm and auto built)

Then pass argument -DWAMR_BUILD_JIT=1 to cmake to enable LLVM JIT:

mkdir build && cd build
cmake .. -DWAMR_BUILD_JIT=1
make

Note: By default, the LLVM Orc JIT with Lazy compilation is enabled to speedup the lanuching process and reduce the JIT compilation time by creating backend threads to compile the WASM functions parallely, and for the main thread, the functions in the module will not be compiled until they are firstly called and haven't been compiled by the compilation threads.

If developer wants to disable the Lazy compilation, we can:

mkdir build && cd build
cmake .. -DWAMR_BUILD_JIT=1 -DWAMR_BUILD_LAZY_JIT=0
make

In which all the WASM functions will be previously compiled before main thread starts to run the wasm module.

(5) To enable the Fast JIT mode:

mkdir build && cd build
cmake .. -DWAMR_BUILD_FAST_JIT=1
make

The Fast JIT is a lightweight JIT engine with quick startup, small footprint and good portability, and gains ~50% performance of AOT.

(6) To enable the Multi-tier JIT mode:

mkdir build && cd build
cmake .. -DWAMR_BUILD_FAST_JTI=1 -DWAMR_BUILD_JIT=1
make

The Multi-tier JIT is a two level JIT tier-up engine, which launchs Fast JIT to run the wasm module as soon as possible and creates backend threads to compile the LLVM JIT functions at the same time, and when the LLVM JIT functions are compiled, the runtime will switch the extecution from the Fast JIT jitted code to LLVM JIT jitted code gradually, so as to gain the best performance.

Linux SGX (Intel Software Guard Extension)

Please see Build and Port WAMR vmcore for Linux SGX for the details.

MacOS

Make sure to install Xcode from App Store firstly, and install cmake.

If you use Homebrew, install cmake from the command line:

brew install cmake

Then build the source codes:

cd product-mini/platforms/darwin/
mkdir build
cd build
cmake ..
make
# iwasm is generated under current directory

By default in MacOS, the fast interpreter, AOT and Libc WASI are enabled, and JIT is disabled. And the build target is set to X86_64 or X86_32 depending on the platform's bitwidth.

To run a wasm file with interpreter mode:

iwasm <wasm file>

To run an AOT file, firstly please refer to Build wamrc AOT compiler to build wamrc, and then:

wamrc -o <AOT file> <WASM file>
iwasm <AOT file>

Note: For how to build the JIT mode and classic interpreter mode, please refer to Build iwasm on Linux.

WAMR provides some features which can be easily configured by passing options to cmake, please see WAMR vmcore cmake building configurations for details. Currently in MacOS, interpreter, AOT, and builtin libc are enabled by default.

Windows

Make sure MSVC and cmake are installed and available in the command line environment

Then build the source codes:

cd product-mini/platforms/windows/
mkdir build
cd build
cmake ..
cmake --build . --config Release
# ./Release/iwasm.exe is generated

By default in Windows, the fast interpreter, AOT and Libc WASI are enabled, and JIT is disabled.

To run a wasm file with interpreter mode:

iwasm.exe <wasm file>

To run an AOT file, firstly please refer to Build wamrc AOT compiler to build wamrc, and then:

wamrc.exe -o <AOT file> <WASM file>
iwasm.exe <AOT file>

Note: For how to build the JIT mode and classic interpreter mode, please refer to Build iwasm on Linux.

WAMR provides some features which can be easily configured by passing options to cmake, please see WAMR vmcore cmake building configurations for details. Currently in Windows, interpreter, AOT, and builtin libc are enabled by default.

MinGW

First make sure the correct CMake package is installed; the following commands are valid for the MSYS2 build environment:

pacman -R cmake
pacman -S mingw-w64-x86_64-cmake
pacman -S mingw-w64-x86_64-gcc
pacman -S make git

Then follow the build instructions for Windows above, and add the following arguments for cmake:

cmake .. -G"Unix Makefiles" \
         -DWAMR_DISABLE_HW_BOUND_CHECK=1

Note that WASI will be disabled until further work is done towards full MinGW support.

Since memory access boundary check with hardware trap feature is disabled, when generating the AOT file with wamrc, the --bounds-checks=1 flag should be added to generate the memory access boundary check instructions to ensure the sandbox security:

wamrc --bounds-checks=1 -o <aot_file> <wasm_file>

Compiler complaining about missing UnwindInfoAddress field in RUNTIME_FUNCTION struct (winnt.h).

VxWorks

VxWorks 7 SR0620 release is validated.

First you need to build a VSB. Make sure UTILS_UNIX layer is added in the VSB. After the VSB is built, export the VxWorks toolchain path by:

export <vsb_dir_path>/host/vx-compiler/bin:$PATH

Now switch to iwasm source tree to build the source code:

cd product-mini/platforms/vxworks/
mkdir build
cd build
cmake ..
make

Create a VIP based on the VSB. Make sure the following components are added:

INCLUDE_POSIX_PTHREADS
INCLUDE_POSIX_PTHREAD_SCHEDULER
INCLUDE_SHARED_DATA
INCLUDE_SHL

Copy the generated iwasm executable, the test WASM binary as well as the needed shared libraries (libc.so.1, libllvm.so.1 or libgnu.so.1 depending on the VSB, libunix.so.1) to a supported file system (eg: romfs).

Note: WAMR provides some features which can be easily configured by passing options to cmake, please see WAMR vmcore cmake building configurations for details. Currently in VxWorks, interpreter and builtin libc are enabled by default.

Zephyr

Please refer to this README under the Zephyr sample directory for details.

Note: WAMR provides some features which can be easily configured by passing options to cmake, please see WAMR vmcore cmake building configurations for details. Currently in Zephyr, interpreter, AOT and builtin libc are enabled by default.

RT-Thread

Get rt-thread system codes.
Enable WAMR software package with menuconfig tool which provided by RT-Thread.
- Environment in Linux, run command below:
```
scons --menuconfig
```
- Environment in Windows ConEmu, run command below:
```
menuconfig
```
Select and enable WAMR in:
- RT-Thread online packages
  - tools packages
    - WebAssembly Micro Runtime (WAMR)
Configure WAMR with menuconfig tool.

you can choice features of iwasm below:
- Enable testing parameters of iwasm
- Enable interpreter Mode / Fast interpreter Mode
- Use built-libc
- Enable AOT
Exit menuconfig tool and save configure, update and download package.
```
pkgs --update
```
build project and download the binary to boards.
```
scons
```
or build project with 8-thread by using command below:
```
scons -j8
```
after project building, you can got an binary file named rtthread.bin, then you can download this file to the MCU board.

Android

Able to generate a shared library support Android platform.

need an android SDK. Go and get the "Command line tools only"
look for a command named sdkmanager and download below components. version numbers might need to check and pick others
- "build-tools;29.0.3"
- "cmake;3.10.2.4988404"
- "ndk;latest"
- "patcher;v4"
- "platform-tools"
- "platforms;android-29"
add bin/ of the downloaded cmake to $PATH
export ANDROID_HOME=/the/path/of/downloaded/sdk/
export ANDROID_NDK_LATEST_HOME=/the/path/of/downloaded/sdk/ndk/2x.xxx/
ready to go

Use such commands, you are able to compile with default configurations.

$ cd product-mini/platforms/android/
$ mkdir build
$ cd build
$ cmake ..
$ make
$ # check output in distribution/wasm
$ # include/ includes all necesary head files
$ # lib includes libiwasm.so

To change the target architecture and ABI, you can define WAMR_BUILD_TARGET or ANDROID_ABI respectively. To build for supported Android ABIs:

$ cmake .. -DWAMR_BUILD_TARGET=X86_32  -DANDROID_ABI=x86          # 32-bit Intel CPU
$ cmake .. -DWAMR_BUILD_TARGET=X86_64  -DANDROID_ABI=x86_64       # 64-bit Intel CPU
$ cmake .. -DWAMR_BUILD_TARGET=ARMV7A  -DANDROID_ABI=armeabi-v7a  # 32-bit ARM CPU
$ cmake .. -DWAMR_BUILD_TARGET=AARCH64 -DANDROID_ABI=arm64-v8a    # 64-bit ARM CPU

NuttX

WAMR is intergrated with NuttX, just enable the WAMR in Kconfig option (Application Configuration/Interpreters).

ESP-IDF

WAMR integrates with ESP-IDF both for the XTENSA and RISC-V chips (esp32x and esp32c3 respectively).

In order to use this, you need at least version 4.3.1 of ESP-IDF. If you don't have it installed, follow the instructions here. ESP-IDF also installs the toolchains needed for compiling WAMR and ESP-IDF. A small demonstration of how to use WAMR and ESP-IDF can be found under product_mini. The demo builds WAMR for ESP-IDF and runs a small wasm program. In order to run it for your specific Espressif chip, edit the build_and_run.sh file and put the correct toolchain file (see #Cross-compilation) and IDF_TARGET. Before compiling it is also necessary to call ESP-IDF's export.sh script to bring all compile time relevant information in scope.

Docker

Docker will download all the dependencies and build WAMR Core on your behalf.

Make sure you have Docker installed on your machine: macOS, Windows or Linux.

Build iwasm with the Docker image:

$ cd ci
$ ./build_wamr.sh
$ ls ../build_out/

build_wamr.sh will generate linux compatible libraries ( libiwasm.so and libvmlib.a ) and an executable binary (iwasm) and copy iwasm to build_out. All original generated files are still under product-mini/platforms/linux/build.

FreeBSD

First, install the dependent packages:

sudo pkg install gcc cmake wget

Then you can run the following commands to build iwasm with default configurations:

cd product-mini/platforms/freebsd
mkdir build && cd build
cmake ..
make

AliOS-Things

a developerkit board id needed for testing

download the AliOS-Things code

git clone https://github.com/alibaba/AliOS-Things.git

copy <wamr_root_dir>/product-mini/platforms/alios-things directory to AliOS-Things/middleware, and rename it as iwasm
```
cp -a <wamr_root_dir>/product-mini/platforms/alios-things middleware/iwasm
```
create a link to <wamr_root_dir> in middleware/iwasm/ and rename it to wamr
```
ln -s <wamr_root_dir> middleware/iwasm/wamr
```

modify file app/example/helloworld/helloworld.c, patch as:

#include <stdbool.h>
#include <aos/kernel.h>
extern bool iwasm_init();
int application_start(int argc, char *argv[])
{
     int count = 0;
     iwasm_init();
    ...
}

modify file app/example/helloworld/aos.mk
```
   $(NAME)_COMPONENTS := osal_aos iwasm
```

build source code and run For linux host:

aos make helloworld@linuxhost -c config
aos make
./out/helloworld@linuxhost/binary/[email protected]

For developerkit: Modify file middleware/iwasm/aos.mk, patch as:

WAMR_BUILD_TARGET := THUMBV7M

aos make helloworld@developerkit -c config
aos make

download the binary to developerkit board, check the output from serial port

Cosmopolitan Libc

Currently, only x86_64 architecture with interpreter modes is supported.

Setup cosmocc as described in Getting Started being sure to get its bin directory into PATH.

Build iwasm

export CC=x86_64-unknown-cosmo-cc
export CXX=x86_64-unknown-cosmo-c++
rm -rf build
mkdir build
cmake -DWAMR_BUILD_INTERP=1 -DWAMR_BUILD_FAST_INTERP=1 -B build
cmake --build build -j

Run like

./build/iwasm.com <wasm file>

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

product-mini

product-mini

README.md

Build iwasm

Linux

Linux SGX (Intel Software Guard Extension)

MacOS

Windows

MinGW

VxWorks

Zephyr

RT-Thread

Android

NuttX

ESP-IDF

Docker

FreeBSD

AliOS-Things

Cosmopolitan Libc

Files

product-mini

Directory actions

More options

Directory actions

More options

Latest commit

History

product-mini

Folders and files

parent directory

README.md

Build iwasm

Linux

Linux SGX (Intel Software Guard Extension)

MacOS

Windows

MinGW

VxWorks

Zephyr

RT-Thread

Android

NuttX

ESP-IDF

Docker

FreeBSD

AliOS-Things

Cosmopolitan Libc