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Validation of resource destroy state does not happen on bind group creation. It happens on queue submit. This means the Vulkan and D3D12 backends need to gracefully handle BindGroup creation with destroyed resources by skipping the descriptor creation if the resource has been destroyed. Bug: dawn:319 Change-Id: I270afba86d1a961e1e4c39f2419d8c34ff889e46 Reviewed-on: https://dawn-review.googlesource.com/c/dawn/+/38440 Commit-Queue: Austin Eng <enga@chromium.org> Reviewed-by: Corentin Wallez <cwallez@chromium.org> Reviewed-by: Stephen White <senorblanco@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
- Dawn'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 the 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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