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Build WAMR vmcore (iwasm)

It is recommended to use the WAMR SDK tools to build a project that integrates the WAMR. This document introduces how to build the WAMR minimal product which is vmcore only (no app-framework and app-mgr) for multiple platforms.

WAMR vmcore cmake building configurations

By including the script runtime_lib.cmake under folder build-scripts in CMakeList.txt, it is easy to build minimal product with cmake.

# add this into your CMakeList.txt
include (${WAMR_ROOT_DIR}/build-scripts/runtime_lib.cmake)
add_library(vmlib ${WAMR_RUNTIME_LIB_SOURCE})

The script runtime_lib.cmake defines a number of variables for configuring the WAMR runtime features. You can set these variables in your CMakeList.txt or pass the configurations from cmake command line.

Configure platform and architecture

  • WAMR_BUILD_PLATFORM: set the target platform. It can be set to any platform name (folder name) under folder core/shared/platform.

  • WAMR_BUILD_TARGET: set the target CPU architecture. Current supported targets are: X86_64, X86_32, AARCH64, ARM, THUMB, XTENSA, ARC, RISCV32, RISCV64 and MIPS.

    • For ARM and THUMB, the format is <arch>[<sub-arch>][_VFP], where <sub-arch> is the ARM sub-architecture and the "_VFP" suffix means using VFP coprocessor registers s0-s15 (d0-d7) for passing arguments or returning results in standard procedure-call. Both <sub-arch> and "_VFP" are optional, e.g. ARMV7, ARMV7_VFP, THUMBV7, THUMBV7_VFP and so on.
    • For AARCH64, the format is<arch>[<sub-arch>], VFP is enabled by default. <sub-arch> is optional, e.g. AARCH64, AARCH64V8, AARCH64V8.1 and so on.
    • For RISCV64, the format is <arch>[_abi], where "_abi" is optional, currently the supported formats are RISCV64, RISCV64_LP64D and RISCV64_LP64: RISCV64 and RISCV64_LP64D are identical, using LP64D as abi (LP64 with hardware floating-point calling convention for FLEN=64). And RISCV64_LP64 uses LP64 as abi (Integer calling-convention only, and hardware floating-point calling convention is not used).
    • For RISCV32, the format is <arch>[_abi], where "_abi" is optional, currently the supported formats are RISCV32, RISCV32_ILP32D and RISCV32_ILP32: RISCV32 and RISCV32_ILP32D are identical, using ILP32D as abi (ILP32 with hardware floating-point calling convention for FLEN=64). And RISCV32_ILP32 uses ILP32 as abi (Integer calling-convention only, and hardware floating-point calling convention is not used).
cmake -DWAMR_BUILD_PLATFORM=linux -DWAMR_BUILD_TARGET=ARM

Configure interpreter

  • WAMR_BUILD_INTERP=1/0: enable or disable WASM interpreter

  • WAMR_BUILD_FAST_INTERP=1/0: build fast (default) or classic WASM interpreter.

    NOTE: the fast interpreter runs ~2X faster than classic interpreter, but consumes about 2X memory to hold the WASM bytecode code.

Configure AOT and JIT

  • WAMR_BUILD_AOT=1/0, default to enable if not set
  • WAMR_BUILD_JIT=1/0, default to disable if not set
  • WAMR_BUILD_LAZY_JIT=1/0, whether to use Lazy JIT mode or not when WAMR_BUILD_JIT is set, default to enable if not set

Configure LIBC

  • WAMR_BUILD_LIBC_BUILTIN=1/0, build the built-in libc subset for WASM app, default to enable if not set

  • WAMR_BUILD_LIBC_WASI=1/0, build the WASI libc subset for WASM app, default to enable if not set

  • WAMR_BUILD_LIBC_UVWASI=1/0 (Experiment), build the WASI libc subset for WASM app based on uvwasi implementation, default to disable if not set

Note: for platform which doesn't support WAMR_BUILD_LIBC_WASI, e.g. Windows, developer can try using WAMR_BUILD_LIBC_UVWASI.

Enable Multi-Module feature

  • WAMR_BUILD_MULTI_MODULE=1/0, default to disable if not set

Enable WASM mini loader

  • WAMR_BUILD_MINI_LOADER=1/0, default to disable if not set

Note: the mini loader doesn't check the integrity of the WASM binary file, developer must ensure that the WASM file is well-formed.

Enable shared memory feature

  • WAMR_BUILD_SHARED_MEMORY=1/0, default to disable if not set

Enable bulk memory feature

  • WAMR_BUILD_BULK_MEMORY=1/0, default to disable if not set

Enable thread manager

  • WAMR_BUILD_THREAD_MGR=1/0, default to disable if not set

Enable lib-pthread

  • WAMR_BUILD_LIB_PTHREAD=1/0, default to disable if not set

Note: The dependent feature of lib pthread such as the shared memory and thread manager will be enabled automatically.

Disable boundary check with hardware trap in AOT or JIT mode

  • WAMR_DISABLE_HW_BOUND_CHECK=1/0, default to enable if not set and supported by platform

Note: by default only platform linux/darwin/android/vxworks 64-bit will enable boundary check with hardware trap in AOT or JIT mode, and the wamrc tool will generate AOT code without boundary check instructions in all 64-bit targets except SGX to improve performance.

Enable tail call feature

  • WAMR_BUILD_TAIL_CALL=1/0, default to disable if not set

Enable 128-bit SIMD feature

  • WAMR_BUILD_SIMD=1/0, default to enable if not set

Note: only supported in AOT mode x86-64 target.

Configure Debug

  • WAMR_BUILD_CUSTOM_NAME_SECTION=1/0, load the function name from custom name section, default to disable if not set

Enable dump call stack feature

  • WAMR_BUILD_DUMP_CALL_STACK=1/0, default to disable if not set

Note: if it is enabled, the call stack will be dumped when exception occurs.

  • For interpreter mode, the function names are firstly extracted from custom name section, if this section doesn't exist or the feature is not enabled, then the name will be extracted from the import/export sections
  • For AOT/JIT mode, the function names are extracted from import/export section, please export as many functions as possible (for wasi-sdk you can use -Wl,--export-all) when compiling wasm module, and add --enable-dump-call-stack option to wamrc during compiling AOT module.

Enable memory profiling (Experiment)

  • WAMR_BUILD_MEMORY_PROFILING=1/0, default to disable if not set

Note: if it is enabled, developer can use API void wasm_runtime_dump_mem_consumption(wasm_exec_env_t exec_env) to dump the memory consumption info. Currently we only profile the memory consumption of module, module_instance and exec_env, the memory consumed by other components such as wasi-ctx, multi-module and thread-manager are not included.

Enable performance profiling (Experiment)

  • WAMR_BUILD_PERF_PROFILING=1/0, default to disable if not set

Note: if it is enabled, developer can use API void wasm_runtime_dump_perf_profiling(wasm_module_inst_t module_inst) to dump the performance consumption info. Currently we only profile the performance consumption of each WASM function.

The function name searching sequence is the same with dump call stack feature.

Set maximum app thread stack size

  • WAMR_APP_THREAD_STACK_SIZE_MAX=n, default to 8 MB (8388608) if not set

Note: the AOT boundary check with hardware trap mechanism might consume large stack since the OS may lazily grow the stack mapping as a guard page is hit, we may use this configuration to reduce the total stack usage, e.g. -DWAMR_APP_THREAD_STACK_SIZE_MAX=131072 (128 KB).

WAMR_BH_VPRINTF=<vprintf_callback>, default to disable if not set

Note: if the vprintf_callback function is provided by developer, the os_printf() and os_vprintf() in Linux, Darwin, Windows and VxWorks platforms, besides WASI Libc output will call the callback function instead of libc vprintf() function to redirect the stdout output. For example, developer can define the callback function like below outside runtime lib:

int my_vprintf(const char *format, va_list ap)
{
    /* output to pre-opened file stream */
    FILE *my_file = ...;
    return vfprintf(my_file, format, ap);
    /* or output to pre-opened file descriptor */
    int my_fd = ...;
    return vdprintf(my_fd, format, ap);
    /* or output to string buffer and print the string */
    char buf[128];
    vsnprintf(buf, sizeof(buf), format, ap);
    return my_printf("%s", buf);
}

and then use cmake -DWAMR_BH_VPRINTF=my_vprintf .. to pass the callback function, or add BH_VPRINTF=my_vprintf macro for the compiler, e.g. add line add_defintions(-DBH_VPRINTF=my_vprintf) in CMakeListst.txt.

Enable reference types feature

  • WAMR_BUILD_REF_TYPES=1/0, default to disable if not set

Exclude WAMR application entry functions

  • WAMR_DISABLE_APP_ENTRY=1/0, default to disable if not set

Note: The WAMR application entry (core/iwasm/common/wasm_application.c) encapsulate some common process to instantiate, execute the wasm functions and print the results. Some platform related APIs are used in these functions, so you can enable this flag to exclude this file if your platform doesn't support those APIs. Don't enable this flag if you are building product-mini

Enable source debugging features

  • WAMR_BUILD_DEBUG_INTERP=1/0, default to 0 if not set

Note: There are some other setup required by source debugging, please refer to source_debugging.md for more details.

Combination of configurations:

We can combine the configurations. For example, if we want to disable interpreter, enable AOT and WASI, we can run command:

cmake .. -DWAMR_BUILD_INTERP=0 -DWAMR_BUILD_AOT=1 -DWAMR_BUILD_LIBC_WASI=0 -DWAMR_BUILD_PLATFORM=linux

Or if we want to enable interpreter, disable AOT and WASI, and build as X86_32, we can run command:

cmake .. -DWAMR_BUILD_INTERP=1 -DWAMR_BUILD_AOT=0 -DWAMR_BUILD_LIBC_WASI=0 -DWAMR_BUILD_TARGET=X86_32

Cross compilation

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 compling.

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

Refer to toolchain sample file 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-18.04:

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

Or in Ubuntu-16.04:

sudo apt install build-essential cmake g++-multilib libgcc-5-dev lib32gcc-5-dev

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.

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>

To enable the JIT mode, firstly we should build LLVM:

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 WASM JIT:

mkdir build
cd build
cmake .. -DWAMR_BUILD_JIT=1
# or "cmake .. -DWAMR_BUILD_JIT=1 -DWAMR_BUILD_LAZY_JIT=0" to disable LLVM Lazy JIT and enable LLVM MC JIT
make

By default, the LLVM Orc Lazy JIT is enabled to speedup the lanuching process and reduce the JIT compilation time by creating 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. To disable it and enable LLVM MC JIT instead, please pass argument -DWAMR_BUILD_LAZY_JIT=0 to cmake.

To disable fast interpreter and enable classic interpreter instead:

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

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

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

cmake .. -G"Unix Makefiles" \
         -DWAMR_BUILD_LIBC_UVWASI=0 \
         -DWAMR_BUILD_INVOKE_NATIVE_GENERAL=1 \
         -DWAMR_DISABLE_HW_BOUND_CHECK=1

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

  • uvwasi not building out of the box, though it reportedly supports MinGW.
  • Failing compilation of assembler files, the C version of invokeNative() will be used instead.
  • 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

You need to prepare Zephyr first as described here https://docs.zephyrproject.org/latest/getting_started/index.html#get-zephyr-and-install-python-dependencies.

After that you need to point the ZEPHYR_BASE variable to e.g. ~/zephyrproject/zephyr. Also, it is important that you have west available for subsequent actions.

cd <wamr_root_dir>/product-mini/platforms/zephyr/simple
# Execute the ./build_and_run.sh script with board name as parameter. Here take x86 as example:
./build_and_run.sh x86

If you want to use the Espressif toolchain (esp32 or esp32c3), you can most conveniently install it with west:

cd $ZEPHYR_BASE
west espressif install

After that set ESPRESSIF_TOOLCHAIN_PATH according to the output, for example ~/.espressif/tools/zephyr.

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.

AliOS-Things

  1. a developerkit board id needed for testing

  2. download the AliOS-Things code

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

  3. 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

  4. create a link to <wamr_root_dir> in middleware/iwasm/ and rename it to wamr

    ln -s <wamr_root_dir> middleware/iwasm/wamr

  5. 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();
    ...
}

  6. modify file app/example/helloworld/aos.mk

       $(NAME)_COMPONENTS := osal_aos iwasm

  7. build source code and run For linux host:

    aos make helloworld@linuxhost -c config
aos make
./out/helloworld@linuxhost/binary/helloworld@linuxhost.elf

    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

RT-Thread

  1. Get rt-thread system codes.

  2. 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)

  3. 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

  4. Exit menuconfig tool and save configure, update and download package.

    pkgs --update

  5. 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;21.0.6113669"
    • "patcher;v4"
    • "platform-tools"
    • "platforms;android-29"
  • add bin/ of the downloaded cmake to $PATH
  • export ANDROID_SDK_HOME=/the/path/of/downloaded/sdk/
  • export ANDROID_NDK_HOME=/the/path/of/downloaded/sdk/ndk/
  • ready to go

Use such commands, you are able to compile with default configurations. Any compiling requirement should be satisfied by modifying product-mini/platforms/android/CMakeList.txt. For example, chaning ${WAMR_BUILD_TARGET} in CMakeList could get different libraries support different ABIs.

$ 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

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.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.