- engine/compile_rr2.py, runtime_rr2.inc, engine/rr/rr2_m.comp, exposure_f.comp,
gen_rr2_enc0.py, rr2_pack.py, rr2_ref.py: the rr2_* model (nvngx_dlssd.dll 310.9's
third network) as d4r's own shaders - exposure, enc0 gather/block split, enc1-5 and
dec4-0 through one matrix shader, translated output passes; weights packed from the
DLL, argument blocks from the capture
- ptx2rr: match the driver's fused roundings - opaque-zero OR around cvt.rn.f16.f32
against v_fma_mix, half-away-from-zero formatted stores, UNORM 10:10:10:2 as RGBA32F
of q/1023, OCML tanhF with the AMDGPU exp lowering, binary16 fma and fetch roundings;
--probe for register bisection against ZLUDA
- dec0_m/swin_m/enc0_*: RR_MIX build option (D4R_RR_MIX=1), one v_fma_mix rounding per
32-deep step, ~5% faster, not bit-exact; default build stays exact
- runtime_rr.inc: RModel/REngine dispatch to the D4RR0002 model; replay_rr: RGBA32F and
A2B10G10R1010 texel sizes, roughnessPacked bit, larger debug staging
- shim: engine\rr-f model slot, 310.9 version probe so preset F is only claimed when the
CUDA path has it; d4r.ini / d4r_config.py Model = F; run_rr_engine_compare.sh D4R_RR_DLL
- kernels/rr/swin_native.h + rr_swin_native_test.cpp: HIP port of encoder 1 for the
FP8-product and rounding cost measurements
- engine/rr/README: preset F's block, options, capture-by-capture results, timings and
the open camera-matrix difference
The ten network layer dispatches only need dispatch serialization, not a
global memoryBarrier flush: each layer's cross-block traffic goes through
its own buffers, already published by the preceding stage's flush. An
empty compute->compute pipeline barrier keeps the ordering and removes
the flush cost: whole-frame median 2515.0 -> 2431.7 us at Balanced
(1488x837 -> 2560x1440), 3818.9 -> 3773.3 at Quality, 1892.6 -> 1810.6
at Performance, byte-identical to the captured launches (chain test
10/10 layers 100.0%, frame test inf dB, 8- and 16-frame outputs match).
Also documents this session's discarded probes (intra-frame barrier
relaxation, colSum subgroup shuffle, downsample BLOCK_Y 32, expansion
EO stride 24, cross-frame pipelining analysis, the NO_ROUND 7.0%
rounding-free ceiling) and adds the round_half.glsl include guard.
- GameFrameR/RFrameImages: DLSSD.ScreenSpaceSubsurfaceScatteringGuide (arg 264)
and DLSSD.ColorBeforeParticles (output stage, texture 416 with its own history
pair 384/392, zero-initialised on first use); guides array 6 -> 8
- DLSS.Use.HW.Depth: byte 980 and output byte 443 bit 24 (Cyberpunk passes the
nonlinear depth buffer); replay's 'inverted' field becomes a bitmask
- shim: bind the two new resources, read the HW-depth flag, and accept every
preset hint except E's 5 by mapping it to D's diamond_wallaby kernels
(harness captures show 0x80000002/0x80000005 run preset D)
- harness: D4R_HARNESS_RR_EXTRA=particles,sss and D4R_HARNESS_RR_HW_DEPTH=1
- ptx2rr: out-of-range integer fetches return zero, matching ZLUDA's behaviour
(the reference the stages are checked against)
- engine/rr/README: the capture findings behind the offsets
- engine/rr: d4r's own shaders for the denoiser frame (exposure, six encoders,
five decoders, hkpn output stage) at NGX layouts, plus PTX->GLSL/HIP packing
scripts, reference implementations and weight extraction
- runtime.h/runtime_rr.inc, game_rr.{h,cpp}: GameDenoiser wired into the engine
build (d4r-rr replay binary) and the D3D12 shim's feature-13 path
- shim: answer GetFeatureRequirements from d4r's own state only (the old
cross-binary CUDA handoff crashed OptiScaler's scan); drop the core's
CUDA GetFeatureRequirements import
- shim/harness: exact guide capture/replay of a frame's RR inputs
- kernels/rr: expanded enc0/engine prototypes; kernels/tools: ptxsim rewrite
plus rrsim and an engine test; vulkan: ptx2glsl FP8/cooperative-matrix
support, kvk inout buffers and KVK_DISABLE_OPTIMIZATION
- bridge: report the surface array in cuSurfObjectCreate traces
- packaging: RR settings and the ICU launch overrides in D4R_README
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]>
woutermans