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Remove all usages of SPVC from the code and update the fuzzers. Some of the include paths and deps came transitively from spvc, so needed to update build rules. This patch does NOT remove the flags related to spvc usage, they are just no-ops as the moment. After this patch lands I will remove the usage of those flags from the bots, then remove the flags. BUG=dawn:521 Change-Id: I0d7c3e28f79354c78f00c48b6a383b823094a069 Reviewed-on: https://dawn-review.googlesource.com/c/dawn/+/27900 Reviewed-by: Austin Eng <enga@chromium.org> Commit-Queue: Ryan Harrison <rharrison@chromium.org>
Dawn, a WebGPU implementation
Dawn is an open-source and cross-platform implementation of the work-in-progress WebGPU standard.
More precisely it implements webgpu.h
that is a one-to-one mapping with the WebGPU IDL.
Dawn is meant to be integrated as part of a larger system and is the underlying implementation of WebGPU in Chromium.
Dawn provides several WebGPU building blocks:
- WebGPU C/C++ headers that applications and other building blocks use.
- The
webgpu.h
version that Dawn implements. - A C++ wrapper for the
webgpu.h
.
- The
- A "native" implementation of WebGPU using platforms' GPU APIs:
- D3D12 on Windows 10
- Metal on macOS and iOS
- Vulkan on Windows, Linux, ChromeOS, Android and Fuchsia
- OpenGL as best effort where available
- A client-server implementation of WebGPU for applications that are in a sandbox without access to native drivers
Helpful links:
- Dawn's bug tracker if you find issues with Dawn.
- Dawn's mailing list for other discussions related to Dawn.
- Dawn's source code
- Dawm's Matrix chatroom for live discussion around contributing or using Dawn.
- WebGPU's Matrix chatroom
Documentation table of content
Developer documentation:
User documentation: (TODO, figure out what overlaps with webgpu.h docs)
Status
(TODO)
License
Apache 2.0 Public License, please see LICENSE.
Disclaimer
This is not an officially supported Google product.
Description
CMake-only fork of https://dawn.googlesource.com/dawn with cleaned, vendored dependencies
Languages
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59.9%
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18.2%
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17.3%
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2.1%
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