A fresh extract plus bash install.sh builds all 9 models in about a minute, and they run in the shim.
Engine-vs-CUDA path: K 67 dB, M/L 45-50 dB, RR D/E/F 43/46/37 dB.
Add an optional D4R_INSTALL_MODE=asi release (d4r-<version>-asi.zip)
holding only d4r.asi and a companion d4r/ folder, to drop into an
existing OptiScaler plugin directory.
- Shim: export InitializeASI. It identifies OptiScaler by its PE export
name to find the active INI, then launches d4r-setup.exe out of
process (no GPU or network work under the loader lock). The .asi
build loads its runtime and config from the companion d4r/ folder.
- tools/d4r_asi_setup.cpp: native helper. It waits for the game to
exit, installs the D3D12 wrapper and the private d4r12core.dll beside
the EXE, and merges the NGX route into the loader's INI (including
GE-Proton's prefix-local INI) with backups. Unchanged launches do
nothing. It skips Proton helpers and background utilities and runs
setup for one plugin install at a time.
- scripts/private_d3d12_core.py: points vkd3d's d3d12.dll forwarder at
d4r12core.dll without moving code addresses.
- install.sh runs from inside the ASI's d4r/ as well as the proxy
release root. d4r-check.sh checks ASI installs (loader, plugin path,
LoadAsiPlugins, HookOriginalNvngxOnly, Wine drive paths).
- Packaging, build script, docs, ASI_README.txt and tests.
Ray Reconstruction's eleven DLSS-D Swin layers still run ZLUDA's compile of
NVIDIA's PTX; at 1280x720 -> 3840x2160 on gfx1201 they are 30.2 of a 31.6 ms
frame. The denoiser's high-fidelity output kernel is the first one with a native
replacement: make_ptx.py replaces its whole-texel RGBA16F store
(sust.b.2d.v4.b16.zero) through d4r_sust_v4b16, kernels/build.sh builds the pair
as the `rr` family, and packaging builds it into every target folder including
the RDNA4 FP8 ones.
Both libraries define modules named cuda_dldn_engine_*, with different text, so
one manifest cannot take the union of their hashes: kernel_manifest.py now takes
the denoiser DLL as --rr-dll and lets only its hashes authorize a
cuda_dldn_engine_* binary, and package_release.sh passes it when the denoiser is
bundled.
Verified in the D3D12 harness with Ray Reconstruction at 1280x720 -> 3840x2160:
the output kernel drops from 1.44 to 1.00 ms/frame and the 66 MB raw output is
byte-identical to the run with every kernel translated.
docs/native-kernels.md gains the denoiser family, the per-kernel cost table and
the instruction counts that show why the Swin layers are the remaining work.
Run the signed CUDA-capable denoiser through feature 13 with independent D/E presets, pre-Init discovery, per-frame guide and camera snapshots, normalized integer guide staging, paired alpha output, and recorded-resource retirement.
Add the required ZLUDA/LLVM patch, behavioral configuration tests, GPU harness coverage, optional denoiser installation and packaging, and tested support limitations. Preserve upstream attribution and distinguish LLVM licensing from the ZLUDA portions of the patch.
scripts/check_redistributable.py refuses NVIDIA binaries (by name and
version resource), NGX SDK headers, PTX and code objects, PTX translations
(marked by ptx2glsl.py/condense.py) and the engine's model data in the
repository, and in each release variant (clean/installer/full) whatever
that variant does not contain. package_release.sh runs it before zipping;
scripts/git-hooks/pre-commit runs it locally.
Signed-off-by: woutermans <[email protected]>
A standalone Vulkan inference engine (engine/) for DLSS presets K and M that
runs from weights extracted from the user's own nvngx_dlss.dll, with d4r's
own input, network and reconstruction shaders or the native HIP network
layers, recorded into the game's command list by the shim. Opt-in
([Engine] Enabled / D4R_ENGINE=1); anything uncovered falls back to the
CUDA/ZLUDA path with the reason logged.
Byte-identical to NGX's CUDA backend under the phase-capable reference
(1706x960 -> 2560x1440, native HIP network, eleven frames, RX 9070 XT):
- K render- and display-resolution motion vectors, HDR and LDR
- K game-supplied exposure and automatic exposure with any pre-exposure
and exposure scale (one residual: effective exposure exactly 2 or 4)
- K and M with the DLSS indicator's inverted-axis parameters
- M with any exposure settings (NGX ignores them for M)
K packages need the current compile_k.py (marker D4RO0003).
Also: HIP shared buffers are pooled across feature recreation (ROCm leaks
destroyed imports), hipnet.bin must match the preset, M-only games do not
load the K model, install_d4r_runtime.sh stages k, k-ldr, m, m-ldr with
hip/, the activation table has a generator (gen_activation_m.py), and
package_release.sh can bundle the engine's shaders (never its weights).
Signed-off-by: woutermans <[email protected]>
Validate Env identifiers and accept UTF-8 BOMs and last-value INI keys.
Resolve the OptiScaler GPL license before builds and support both system
license locations. Match the bridge's KFD selection by SIMD count.
- Explicitly route OptiScaler to d4r\nvngx.dll in release packages.
- Extract INI generation into a helper that preserves line endings
and rejects missing or duplicate settings.
- Check NGX routing separately from file presence and return failure
when the installation is incomplete or misconfigured.
- Add an optional OptiScaler patch for external DLSS backends while
preserving AMD identity for FSR4, with matching launch guidance.
- Align portable and launcher marker polling defaults at 200 us.
- Log when d4r's model override replaces game or OptiScaler presets.
- Add configuration, package, routing and coexistence regression tests.
- Update installation documentation, add FSR/DLSS comparison videos
and ignore local .tools artifacts.
Refs: #7, #14
- Add default-off PreferAccuracy for all native kernel families,
including RDNA4 FP8 variants.
- Restore intermediate FP8 quantization, per-MMA FP16 rounding,
denormal handling and NGX synchronization in accuracy mode.
- Select separately marked accuracy kernels and use a separate JIT
cache; reject mixed sets and never silently substitute fast kernels.
- Add a pinned GLIBC 2.41 build environment for ZLUDA/LLVM, the DLLs
and both kernel sets, with ABI checks and toolchain provenance.
- Support parallel target builds and pre-extracted PTX; correct
ROCm header paths and Clang-CL input handling.
- Bump to 0.1.3 and update release notes, documentation and tests.
Validation: 11 tests passed; all 912 kernels built; E/K/M GPU harness
runs completed with accuracy off/on. Packaged libraries loaded under
GLIBC 2.41 and require no GLIBC version newer than 2.38.
RTX image-quality parity remains unverified.
Fixes#6
Refs #6
- Fix Cyberpunk 2077 preset-K black artifacts by preserving FP16/FP64
denormal requirements while limiting denormal suppression to FP32.
- Fix stale direct-output redirects after array destruction, preventing
reused handles from inheriting an earlier feature's output buffer.
- Log rejected resource formats and dimensions, including failures after
startup, with rate limiting for repeated errors.
- Add opt-in blocking output synchronization with a dedicated bridge
export and fallback to context synchronization.
- Report output-wait CPU and wall time, and defer GPU timing queries
until asynchronous evaluation has completed. The CPU-overhead
mitigation for #7 still needs reporter confirmation.
- Reject release libraries requiring GLIBC newer than the configured
baseline, defaulting to 2.41, and document compatible builds.
Validation: shim and bridge builds pass; targeted redirect-lifetime and
format-logging checks pass.
Fixes#5Fixes#8
Refs #7
RDNA4 (experimental; untested on RDNA4 hardware)
- kernels/common/wmma_layout.h picks the WMMA operand/accumulator layout
per target; K (pwin_*) and M (swin_*) index through it, so the same
sources build for gfx11 and gfx12. D4R_WMMA_LAYOUT=12 on gfx11 is a test
shim that runs the gfx12 indexing on gfx11 WMMA.
- M can use native e4m3 FP8 WMMA on gfx12 (D4R_NATIVE_FP8=1). Texture
tails (enc0_tail, dec0_head) get gfx12 f16 and FP8 paths that match
ZLUDA's gfx12 lowering.
- ZLUDA patch 0007: gfx12 WMMA helpers, optional native FP8 MMA
(D4R_ZLUDA_WMMA_FP8_NATIVE), a layout override for testing, and an
architecture argument for d4r_emit. Texture kernels are now compiled
offline per target through d4r_emit (D4R_ZLUDA_EMIT) instead of on the
local GPU.
- New d4r.ini option [Kernels] NativeFp8 (default on), wired through the
shim and d4r_config.py. On gfx12 the bridge serves kernels/<arch>-fp8
when it is on.
- The bridge picks the KFD GPU with the most SIMDs (so an iGPU is not
chosen over a discrete GPU); D4R_GPU_ARCH overrides it.
- kernels/build.sh and package_release.sh build gfx1100-gfx1103 and
gfx1200/gfx1201 (plus -fp8 variants), and D4R_BUNDLE_TEX takes
per-target folders.
Performance (RDNA3; harness byte-identical unless noted)
- ZLUDA patch 0006: m16n8k8 f16 MMAs on WMMA (E; not bit-exact, 52-55 dB
per layer, D4R_ZLUDA_WMMA_K8=0 disables it), per-key weight-image slots
for native prep kernels (d4r_prep_key_at, d4r_prep_key_slots), and
wave64 builds of MMA-free kernels (D4R_ZLUDA_WAVE64).
- M: packed FP8 encoding, conflict-free patch-merge reads, scalar weight
loads in enc1, and weight prep once per weight set for the six enc3
tube blocks.
- K: CU mode for the six non-wide pwin layers.
- Texture kernels: every DLSS flag variant is built natively (24 K output,
8 M post, 4 M downsample, 4 M enc0), not only Townfall's; post and K
output run as wave64.
- M direct output: rrlite_downsample_kernel writes the shim's output
buffer; the shim's default direct-output presets are now 11,13.
Tools
- dump_runner takes the prep grid from d4r_prep_blocks and refuses
texture/surface dumps.
- New pwin_check.py, swin_check.py, model_enc3.py and tail_check.hip.
Docs: README GPU table and RDNA4 notes, building (patches 0002-0007,
d4r_emit), native-kernels (RDNA4 section), performance (new numbers),
packaging README. Version 0.1.2.
ayo