- the weights go into the command buffer with vkCmdUpdateBuffer (recordContents); the host-visible staging
copies are gone, and the host copies are dropped once recorded
- an engine's own output image is created only for frames that do not write the caller's texture
(K, M, RR D/E, RR F), cleared on first use
- preset F: the tile slots share the arena with the network's regions, and the gather records' rows fill the
gaps between encoder 0's regions (rr.txt "s3", six words on enc0's block; D4R_ENGINE_RR_ARENA keeps the
old separate layout for arena dumps)
- the shim reserves the render size the feature was created with for the M/L Vulkan network instead of the
output size; a frame beyond it goes to a second, output-sized engine (1.1 GB less for M, 1.4 for L at
1280x720 -> 4K); replay_m gains D4R_M_CAPACITY
Every reference capture still byte-identical; through the shim the harness process peaks 159 MiB lower.
- layer_m.comp builds relaxed by default (M_RELAXED: f32 accumulators, paired FP8
conversions, no activation table) with two windows per wave sharing weight tiles
(WPW=2); M_EXACT=1 keeps NVIDIA's roundings, bit-identical to the CUDA path
- layer.comp reuses weight tiles across its waves (TPW=2 in the 32-channel layers)
- engine/rr/rr2_w.comp: one wave per window for preset F's dec0_0 and enc0, used by
compile_rr2.py at the new default D4R_RR_RELAXED=3 (build_native_model.sh too);
D4R_RR_FUSE=1 matches the reference's fused multiply-adds, ptx2rr.py --snorm16
- [Engine] Network defaults to vulkan; the HIP network is opt-in
- 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
woutermans