Merge upstream accuracy mode and artifact fixes into Windows RDNA4
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d4r runs NVIDIA's official DLSS Super Resolution library (`nvngx_dlss.dll`) in Windows games on AMD Radeon GPUs under Linux and Proton. The game asks for DLSS as usual; the DLSS network runs on the AMD GPU through [ZLUDA](https://github.com/vosen/ZLUDA) (CUDA on ROCm/HIP), with the heaviest DLSS kernels replaced by hand-written RDNA3 and RDNA4 code.
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**Supported DLSS models:** DLSS 3 CNN (E), DLSS 4 transformer (K, default), and DLSS 4.5 transformer (M). DLSS 5 is not supported.
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**Supported DLSS models:** DLSS 3 CNN (E), DLSS 4 transformer (K, default), and DLSS 4.5 transformer (M). DLSS 5 is PURPOSELY not supported.
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**Proof of concept:** d4r shows that DLSS can run on an AMD GPU, but it is not really that practical for everyday use yet. It has been tested on one GPU in a handful of games and depends on unreleased patches to ZLUDA and vkd3d-proton.
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@@ -49,23 +49,25 @@ On the same GPU DLSS starts at a disadvantage: its networks were designed for NV
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## Known issues
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- In some games native upscaling can show visible artifacting.
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- In some games using some models native upscaling can show visible artifacting.
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For users who prioritize fidelity over speed, set `[Kernels] PreferAccuracy = true` in `d4r/d4r.ini` and restart the game. It defaults to `false`. This selects accuracy variants of every native kernel and restores conservative translation settings. It aims to match NVIDIA's arithmetic; 1:1 image quality against RTX DLSS is not yet proven. See [native kernel numerics](docs/native-kernels.md#numerics).
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## GPU support
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d4r builds for RDNA3 and RDNA4. A newly built release compiles native DLSS 4 and 4.5 network kernels for the targets below and selects the matching set at runtime. Only the RX 7700 XT has been tested on a real GPU; RDNA4 runtime and performance remain unverified on hardware.
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d4r builds for RDNA3 and RDNA4. A newly built release compiles native DLSS 4 and 4.5 network kernels for the targets below and selects the matching set at runtime. Only the RX 7700 XT has been tested by this project on a real GPU; an external video reports DLSS 4.5 running through d4r 0.1.2 on an RX 7900 XTX. RDNA4 runtime and performance remain unverified on hardware.
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| GPU | Chip | FP8 math | Runtime testing |
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|---|---|---|---|
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| RX 7700 XT, RX 7800 XT, RX 7700, Radeon PRO W7700 | gfx1101 | widened to f16 | RX 7700 XT only |
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| RX 7900 GRE / XT / XTX, Radeon PRO W7800 / W7900 | gfx1100 | widened to f16 | untested |
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| RX 7900 GRE / XT / XTX, Radeon PRO W7800 / W7900 | gfx1100 | widened to f16 | RX 7900 XTX: [external video](https://www.youtube.com/watch?v=_GLjJ2Dn5pU) (DLSS 4.5); other cards untested |
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| RX 7600 / 7600 XT, RX 7650 GRE | gfx1102 | widened to f16 | untested |
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| RDNA3 integrated GPUs | gfx1103 | widened to f16 | untested |
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| RX 9070 XT / 9070 / 9070 GRE, Radeon AI PRO R9700 | gfx1201 | native FP8 (`NativeFp8`, default on) | emulator only |
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| RX 9060 XT / 9060 | gfx1200 | native FP8 (`NativeFp8`, default on) | compile only |
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| RDNA2 and older | | | unsupported |
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Native network kernels are built for all listed gfx11/gfx12 targets. Texture kernels are compiled for each target by `d4r_emit` when supplied to the package script; RDNA4 also has a `-fp8` variant. The bridge selects the KFD GPU with the most SIMDs, avoiding an integrated GPU when a discrete GPU is present; `D4R_GPU_ARCH` overrides that choice. Missing native kernels fall back to ZLUDA. Without the native network kernels, NVIDIA's translated DLSS 4 layers produce invalid values and DLSS discards the network's output, so K loses the transformer's image quality. Preset E does not use the native network kernels.
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Native network kernels are built for all listed gfx11/gfx12 targets. Texture kernels are compiled for each target by `d4r_emit` when supplied to the package script; RDNA4 also has a `-fp8` variant. The bridge selects the KFD GPU with the most SIMDs, avoiding an integrated GPU when a discrete GPU is present; `D4R_GPU_ARCH` overrides that choice. Missing native kernels fall back to ZLUDA and can be much slower. Earlier translated K layers produced invalid values; preserving FP16 denormal handling fixes that failure in recorded captures, but RTX image-quality parity remains unverified. Preset E does not use the native network kernels.
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## How it works
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@@ -154,9 +156,15 @@ Gameplay recordings of each DLSS model at the Quality, Performance and Ultra Per
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| `packaging/` | the release's `d4r.ini`, OptiScaler settings, user guide and install check |
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| `docs/` | architecture, build, native kernel and performance notes |
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## Stars
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## Star History
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[](https://star-history.com/#countervolts/d4r&Date)
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<a href="https://www.star-history.com/?type=date&repos=countervolts%2Fd4r">
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<picture>
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<source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/chart?repos=countervolts/d4r&type=date&theme=dark&legend=top-left" />
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<source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/chart?repos=countervolts/d4r&type=date&legend=top-left" />
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<img alt="Star History Chart" src="https://api.star-history.com/chart?repos=countervolts/d4r&type=date&legend=top-left" />
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</picture>
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</a>
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## License
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