engine/rr: native Ray Reconstruction stages with capture/replay and shim integration

- 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

engine/rr/rr_attn.glsl

@@ -0,0 +1,71 @@
+// The attention core shared by the 32-channel-head stages (engine/rr/enc1_m.comp, dec0_m.comp), included inside the
+// head loop: this wave's 16 query slots against the window's 96 key slots. Expects KS (K, token slot x 32 FP8
+// channels in k order) and VS (V^T, 32 channels x 96 token slots) filled for head hd, the bias at W_BIAS0 + HEAD * hd
+// (enc1_pack: 96 x 64, [key slot][query slot]) and the cubic table at W_CUBIC. Leaves Ob[2]: O^T (32 channels x
+// this wave's queries) as the out-projection's B operand. RR_KS / RR_VS (+ word offsets RR_KS0 / RR_VS0) name
+// the arrays when they are not KS and VS.
+#ifndef RR_KS
+#define RR_KS KS
+#define RR_KS0 0u
+#endif
+#ifndef RR_VS
+#define RR_VS VS
+#define RR_VS0 0u
+#endif
+        B8 Qb[2];
+        [[unroll]] for (uint c = 0u; c < 2u; ++c) coopMatLoad(Qb[c], RR_KS, RR_KS0 + wv * 128u + 4u * c, 8u, CM);
+        // scores S^T (keys x this wave's queries) + bias, then the cubic softmax down each column
+        B8 Pb[6];
+        {
+            float16_t e[6][8];
+            [[unroll]] for (uint kt = 0u; kt < 6u; ++kt) {
+                HAC c;
+                coopMatLoad(c, w16.w, (W_BIAS0 + HEAD * hd) / 2u + kt * 1024u + 16u * wv, 64u, RM);
+                ACC s = ACC(c);
+                A8 k0, k1;
+                coopMatLoad(k0, RR_KS, RR_KS0 + kt * 128u, 8u, RM);
+                coopMatLoad(k1, RR_KS, RR_KS0 + kt * 128u + 4u, 8u, RM);
+                s = coopMatMulAdd(k1, Qb[1], coopMatMulAdd(k0, Qb[0], s));   // rounded once, by the conversion below
+                // the cubic numerator from enc1_pack.cubic_table, indexed by the score's binary16 bits
+                [[unroll]] for (int i = 0; i < 8; ++i) e[kt][i] = hb(uint(w16u.w[W_CUBIC / 2u + bh(float16_t(s[i]))]));
+            }
+            // key slot 16kt + 8hl + i is NVIDIA's column 8j + 2tt + half with j = 4(kt >> 1) + (kt & 1) + 2((i >> 1) & 1),
+            // tt = 2hl + (i >> 2), half = i & 1 (enc1_ref.softmax_cubic's tree)
+            // packed: component h of a pair is column parity h (elements i = 4tq + h, i + 2), so the tree runs on f16x2
+            f16vec2 ep[6][4];
+            [[unroll]] for (uint kt = 0u; kt < 6u; ++kt)
+                [[unroll]] for (uint q = 0u; q < 4u; ++q) ep[kt][q] = f16vec2(e[kt][2u * q], e[kt][2u * q + 1u]);
+            precise f16vec2 st[2];
+            [[unroll]] for (uint tq = 0u; tq < 2u; ++tq) {   // pairs q = 2tq (i0) and 2tq + 1 (i1 = i0 + 2)
+                const uint q0 = 2u * tq, q1 = q0 + 1u;
+                precise f16vec2 ev = ((ep[0][q0] + ep[0][q1]) + (ep[2][q0] + ep[2][q1])) + (ep[4][q0] + ep[4][q1]);
+                precise f16vec2 od = ((ep[1][q0] + ep[1][q1]) + (ep[3][q0] + ep[3][q1])) + (ep[5][q0] + ep[5][q1]);
+                st[tq] = ev + od;
+            }
+            precise f16vec2 loc = st[0] + st[1];
+            const uint other = subgroupShuffleXor(packFloat2x16(loc), 16u);
+            precise f16vec2 o = loc + unpackFloat2x16(other);
+            precise float16_t rs = o.x + o.y;
+            // f16(1 / rs) for a binary16 rs: x * m = 1 + d with |d| >= 2^-22 for every binary16 midpoint m, so the f32
+            // reciprocal (within an ulp) already rounds correctly
+            const float16_t r = float16_t(1.0 / float(rs));
+            const f16vec2 r2 = f16vec2(r, r);
+            [[unroll]] for (uint kt = 0u; kt < 6u; ++kt)
+                [[unroll]] for (uint q = 0u; q < 4u; ++q) {
+                    precise f16vec2 pv = ep[kt][q] * r2;
+                    // a probability is in [0, 1]: the plain conversion, no saturation clamp, both in one instruction
+                    { const fe4m3vec2 t_ = fe4m3vec2(pv); Pb[kt][2u * q] = t_.x; Pb[kt][2u * q + 1u] = t_.y; }
+                }
+        }
+        // O^T = V^T P^T, then the out-projection onto the residual
+        B8 Ob[2];
+        [[unroll]] for (uint c = 0u; c < 2u; ++c) {
+            ACC o = ACC(0.0);
+            [[unroll]] for (uint ks = 0u; ks < 3u; ++ks) {
+                A8 v0, v1;
+                coopMatLoad(v0, RR_VS, RR_VS0 + c * 384u + 8u * ks, 24u, RM);
+                coopMatLoad(v1, RR_VS, RR_VS0 + c * 384u + 8u * ks + 4u, 24u, RM);
+                K32(o, v0, Pb[2u * ks], v1, Pb[2u * ks + 1u])
+            }
+            Q8(Ob[c], o)
+        }