DirectXShaderCompiler
rust-gpu
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DirectXShaderCompiler | rust-gpu | |
---|---|---|
33 | 82 | |
2,882 | 6,876 | |
3.0% | 2.7% | |
0.0 | 8.2 | |
6 days ago | 9 days ago | |
C++ | Rust | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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DirectXShaderCompiler
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Building the DirectX shader compiler better than Microsoft?
Well... they are rewriting & upstreaming DXC to LLVM main (https://github.com/microsoft/DirectXShaderCompiler/wiki/Cont...) and want to kinda deprecate DCX. IIRC currently only compute shaders are supported but I may be very wrong.
> We may support DXBC generation in Clang in the future (we mentioned that in the original proposal to LLVM). That work is unlikely to begin for a few years as our focus will be on supporting DXIL and SPIR-V generation first.
I appreciate this quote[0] from the microsoft camp. Setting clear expectations that something will not be done is a nice bit of fresh air.
[0] https://github.com/microsoft/DirectXShaderCompiler/issues/57...
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Vcc â The Vulkan Clang Compiler
Also Microsoft DirectX Shader Compiler[1] for HLSL. In fact, effort is ongoing to upstream HLSL support into Clang.[2][3][4]
To answer your other questionâwhy LLVM instead of GCC:
- First-class support for non-Unix/Linux platforms. LLVM can be built on Windows and Visual Studio without ever needing a single GNU tool besides git[5]. Clang even has a MSVC-compatible interface that allows MSVC developers to switch to Clang without needing to change their command-line invocation[6].
- Written in C++ from the ground up, with a modular, first-class SSA IR-based interface.
- Permissive Apache 2.0 licence. As much as this might exasperate the open-source community, it allows for significantly faster iteration; things tend to be upstreamed when private/corporate developers realise it is hard to maintain separate forks.
All this allows LLVM to have a pretty mature infrastructure; some very large companies have contributed to its development.
[1]: https://github.com/microsoft/DirectXShaderCompiler
[2]: https://clang.llvm.org/docs/HLSL/HLSLDocs.html
[3]: https://github.com/microsoft/DirectXShaderCompiler/wiki/Cont...
[4]: https://discourse.llvm.org/t/rfc-adding-hlsl-and-directx-sup...
There's no need for transpilers these days, you can just compile HLSL to SPIR-V bytecode with dxc.
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Shader Compilation
Use DXC and only HLSL for your main shader editing.
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Proper way to access a read-only texture that has no sampler from an hlsl compute shader?
BTW, this problem can be reproduced as described below: - clone https://github.com/SaschaWillems/Vulkan.git - build the project and run it with arguments : -v - s hlsl to enable the validation layer and to use hlsl code - run ComputeShader project. The following validation error "Type mismatch on descriptor slot ..." will be shown in the console. - to fix it, as suggested above, you can replace the 3rd line of emboss.comp, sharpen.comp, and edgedetect.comp from: Texture2D inputImage : register(t0); //Creates validation errors to RWTexture2D inputImage : register(u0); //no validation errors (you'll then need to recompile the shaders to spv with a proper hlsl compiler such as Microsoft dxc)
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Start project on Metal, port to DX11?
EDIT: There is also naga but it does not take HLSL as input: https://github.com/gfx-rs/naga but you can use DirectXShaderCompiler to compile to SpirV, then use naga to compile to Metal.
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Is SPIRV-Cross a valid option to target Metal from HSSL?
I am starting work on a compute-driven rendering engine, and it seems that the best way to go around it will be to write code in HSSL, and then use DirectXShaderCompiler to generate SPIR-V, and SPIRV-Cross to then generate MSL. And while DXSC's repo has a page on incompatibilities, no such resource seems to exist for SPIRV-Cross targeting Metal.
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Learning DirectX 12 in 2023
DirectX Shader Compiler
rust-gpu
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Vcc â The Vulkan Clang Compiler
Sounds cool, but this requires yet another language to learn[0]. As someone who only has limited knowledge in this space, could someone tell me how comparable is the compute functionality of rust-gpu[1], where I can just write rust?
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Candle: Torch Replacement in Rust
I don't do anything related to data science, but I feel like doing it in Rust would be nice.
You get operator overloading, so you can have ergonomic matrix operations that are typed also. Processing data on the CPU is fast, and crates like https://github.com/EmbarkStudios/rust-gpu make it very ergonomic to leverage the GPU.
I like this library for creating typed coordinate spaces for graphics programming (https://github.com/servo/euclid), I imagine something similar could be done to create refined types for matrices so you don't do matrix multiplication matrices of invalid sizes
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What's the coolest Rust project you've seen that made you go, 'Wow, I didn't know Rust could do that!'?
Do you mean rust-gpu?
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How a Nerdsnipe Led to a Fast Implementation of Game of Life
And https://github.com/EmbarkStudios/rust-gpu/tree/main/examples with the wgpu runner (here it runs the compute shader)
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What is Rust's potential in game development?
I don't know how major they are considered, but Embark Studios is doing quite a bit of Rust in the open source space, most notably (IMO) rust-gpu and kajiya
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[rust-gpu] How do I run/build my own shaders locally?
Long story short, I watched this video about shader programs, and got inspired to try writing shader programs in Rust. I came across rust-gpu which seems to fit the bill. My problem is that I don't really understand its documentation for this particular part.
The examples in the rust-gpu repository are a good place to start
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Introducing posh: Type-Safe Graphics Programming in Rust
Could this approach work for compute shaders (GPGPU) as well? So far, I think https://github.com/EmbarkStudios/rust-gpu is the state of the art in that area, but it adds a specific Rust compiler backend for generating SPIR-V rather than leaving that up to the driver. That seems more complicated than it needs to be... but maybe it has advantages too? Thoughts?
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Looking for high level GPU computing crate
https://github.com/embarkstudios/rust-gpu Allows you to create shaders (kernals) in Rust.
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Whatâs everyone working on this week (19/2023)?
My focus this week has been on planning and assisting with architecture changes that help us fully integrate the node graph compositing engine we built over the past year. Upcoming tech we're working towards includes full utilization of the node graph to power all our layers; adopting WebGPU (now out in Chrome) into our editor using WGPU and rust-gpu; setting up a Tauri build and deployment; and building a backend web service to handle user accounts for document storage, hosting rustc to compile custom graphics effect nodes written by users in Rust, and Stable Diffusion image generation on AWS EC2 GPU instances.
What are some alternatives?
llama.cpp - LLM inference in C/C++
wgpu - Cross-platform, safe, pure-rust graphics api.
Rust-CUDA - Ecosystem of libraries and tools for writing and executing fast GPU code fully in Rust.
shaderc - A collection of tools, libraries, and tests for Vulkan shader compilation.
onnxruntime-rs - Rust wrapper for Microsoft's ONNX Runtime (version 1.8)
kompute - General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.
DiligentEngine - A modern cross-platform low-level graphics library and rendering framework
compute-shader-101 - Sample code for compute shader 101 training
bevy - A refreshingly simple data-driven game engine built in Rust
hash-shader - SHA256 WebGPU Compute Shader (Kernel) Written in Rust
makepad - Makepad is a creative software development platform for Rust that compiles to wasm/webGL, osx/metal, windows/dx11 linux/opengl
are-we-learning-yet - How ready is Rust for Machine Learning?