This is a small test app that uses WebGPU's unofficial
webgpu.h
header
as a platform-agnostic hardware abstraction layer.
It uses a C++ layer over webgpu.h
, called webgpu_cpp.h
.
On native platforms, this project can be built against
Dawn, Chromium's native WebGPU implementation.
On the Web, this project can be built against Emscripten, which implements webgpu.h
on top of the browser's own WebGPU JavaScript API (if
enabled).
It currently hasn't been set up to build against
wgpu-native's webgpu.h
implementation,
but that is a goal.
Check the issues tab for known issues.
Open pre-installed VSCode in Browser
Building
Instructions are for Linux/Mac; they will need to be adapted to work on Windows.
Native build
Build has only been tested on Linux/Mac.
./setup_native_build.sh
mkdir -p out/native
cd out/native
Then:
cmake ../..
make -j4 clean all
Or, to use Ninja instead of Make:
cmake -GNinja ../..
ninja
Note: If you want to have window displayed, make sure to have glfw available. e.g. to install on Linux/Ubuntu:
apt-get install libglfw3-dev
Or on macOS:
brew install glfw
Alternatively, you can disable using glfw and window display by
cmake ../.. -DDEMO_USE_GLFW=OFF
Web build
This has been mainly tested with Chrome Canary on Mac, but should work on
Chrome/Edge/Firefox on any platform with support (modulo compatibility differences due to
pre-release spec changes).
Requires chrome://flags/#enable-unsafe-webgpu
on Chrome/Edge.
Note: To build, the active Emscripten version must be at least 2.0.0.
# Make sure Emscripten tools are in the path.
pushd path/to/emsdk
source emsdk_env.sh
popd
mkdir -p out/web
cd out/web
Then:
emcmake cmake ../..
make -j4 clean all
Or, to use Ninja instead of Make:
emcmake cmake -GNinja ../..
ninja
There are shorthands for these in package.json
so you can use, for example, npm run ninja-web
.