engine/rr: native preset F (DLSS 4.5 Ray Reconstruction) and the reference's fused roundings
- 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
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@@ -92,14 +92,14 @@ def main(argv):
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env["D4R_RR_ENABLE"] = "1" if rr_enabled else "0"
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rr_model = get("RayReconstruction", "Model")
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if rr_model is not None:
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rr_presets = {"DEFAULT": 0, "D": 4, "E": 5}
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rr_presets = {"DEFAULT": 0, "D": 4, "E": 5, "F": 6} # F: DLSS 4.5, nvngx_dlssd.dll 310.9 or later
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rr_model = rr_model.upper()
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if rr_model in rr_presets:
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env["D4R_RR_PRESET"] = str(rr_presets[rr_model])
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elif rr_model in ("0", "4", "5"):
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elif rr_model in ("0", "4", "5", "6"):
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env["D4R_RR_PRESET"] = rr_model
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else:
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fail(f"[RayReconstruction] Model {rr_model!r}: use auto, default, D or E")
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fail(f"[RayReconstruction] Model {rr_model!r}: use auto, default, D, E or F")
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age = get("Latency", "FrameAge")
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if age is not None:
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