webgpu v0.1.16

Platforms

This project comes with pre-built N-API binaries for the following platforms:

Installation

npm install webgpu

Building

You have to build dawn as a shared library. After building dawn, create a file named PATH_TO_DAWN in this project's root directory, containing the absolute path to dawn.

In case you have multiple python installations, you might want to use the --script-executable gn flag to instruct gn to use the python 2.x installation.

After you have generated and built dawn, you can now build this project by running:

npm run all --dawnversion=0.0.1

Windows

Follow dawn's initial setup instructions, but instead of the standard build, do the following:

To generate the project as a shared library using MSVS:

gn gen out/Shared --ide=vs --target_cpu="x64" --args="is_component_build=true is_debug=false is_clang=false"

It's important that you build using MSVS and not clang, as otherwise you will potentially get linking errors.

To build the project run:

ninja -C out/Shared

In case python wasn't found:

• Use where python to get the location of your python installation
• Repoint it by running e.g. npm config set python C:\depot_tools\python.bat

Linux

Follow dawn's initial setup instructions, but instead of the standard build, do the following:

To generate the project as a shared library:

gn gen out/Shared --target_cpu="x64" --args="is_component_build=true is_debug=false is_clang=true"

To build the project run:

ninja -C out/Shared

MacOS

Follow dawn's initial setup instructions, but instead of the standard build, do the following:

To generate the project as a shared library:

gn gen out/Shared --target_cpu="x64" --args="is_component_build=true is_debug=false is_clang=true"

To build the project run:

ninja -C out/Shared

Examples

cd examples & cd ..
node --experimental-modules examples/interactive-triangle.mjs

TODOs

• Add CTS
• Remove libshaderc from build?