d4r: official NVIDIA DLSS on AMD GPUs under Linux and Proton

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// Shared device code for native RDNA3 (gfx11 wave32 WMMA) rrlite Swin-block kernels (DLSS 310.7.0).
// Semantics: ../ENC3_SPEC.md generalised (numpy reference ../swin_model.py).
#pragma once
#include <hip/hip_runtime.h>
#include <stdint.h>
#pragma clang fp contract(off)
typedef _Float16 half_t;
typedef _Float16 h16 __attribute__((ext_vector_type(16)));
typedef _Float16 h8 __attribute__((ext_vector_type(8)));
typedef float f8v __attribute__((ext_vector_type(8)));
struct CommonParams
{
const uint8_t* w; // 0
int sx, sy; // 8
int tw, th; // 16
const uint8_t* in; // 24
const uint8_t* p32; // 32 (decoders: skip input)
uint8_t* out; // 40
uint8_t* p48; // 48 (encoders with patch merge: merged output)
};
static_assert(sizeof(CommonParams) == 56, "param block");
struct TubeParams
{
CommonParams c;
int r69, r70;
int r71, r72;
const uint8_t* in_flags;
uint8_t* out_flags;
};
static_assert(sizeof(TubeParams) == 88, "param block");
// ---------------------------------------------------------------- numerics
__device__ __forceinline__ half_t e4m3_to_half(uint32_t code)
{
uint16_t bits = (uint16_t)(((code & 0x7fu) << 7) | ((code & 0x80u) << 8));
return __builtin_bit_cast(half_t, bits) * (half_t)256.0f;
}
__device__ __forceinline__ uint32_t half_to_e4m3(half_t h)
{
uint32_t half = __builtin_bit_cast(uint16_t, h);
uint32_t magnitude = half & 0x7fffu;
uint32_t normal = (magnitude - 0x2000u + 0x3fu + ((magnitude >> 7) & 1u)) >> 7;
uint32_t exponent = magnitude >> 10;
uint32_t significand = (magnitude & 0x3ffu) | (exponent != 0 ? 0x400u : 0u);
uint32_t clamped = exponent < 1u ? 1u : (exponent > 8u ? 8u : exponent);
uint32_t shift = 16u - clamped;
uint32_t subnormal = (significand + (1u << (shift - 1u)) - 1u + ((significand >> shift) & 1u)) >> shift;
uint32_t code = magnitude >= 0x2400u ? normal : subnormal;
code = magnitude > 0x5f00u ? 0x7eu : code;
code = magnitude > 0x7c00u ? 0x7fu : code;
return ((half >> 8) & 0x80u) | code;
}
// e4m3 RNE satfinite round trip evaluated in the f16 domain (exhaustively equal to decode(encode(h)))
__device__ __forceinline__ half_t q8_exact(half_t h);
__device__ __forceinline__ half_t q8(half_t h)
{
#ifdef SWIN_NO_Q8
return h; // fast mode: intermediate activations stay f16 (stored outputs are still FP8)
#endif
return q8_exact(h);
}
__device__ __forceinline__ half_t q8_exact(half_t h)
{
const uint32_t u = __builtin_bit_cast(uint16_t, h);
const uint32_t m = u & 0x7fffu;
uint32_t r = (m + 0x3fu + ((m >> 7) & 1u)) & 0x7f80u;
r = r < 0x5f00u ? r : 0x5f00u;
const half_t mag = __builtin_bit_cast(half_t, (uint16_t)m);
const uint32_t sub = __builtin_bit_cast(uint16_t, (half_t)((half_t)(mag + (half_t)2.0f) - (half_t)2.0f));
r = m < 0x2400u ? sub : r;
r = m > 0x7c00u ? m : r;
return __builtin_bit_cast(half_t, (uint16_t)((u & 0x8000u) | r));
}
typedef _Float16 hv2 __attribute__((ext_vector_type(2)));
typedef unsigned short u16x2 __attribute__((ext_vector_type(2)));
typedef short i16x2 __attribute__((ext_vector_type(2)));
// q8 on two halves with packed 16-bit integer / f16 ops (same per-half logic as q8; no carries cross halves)
__device__ __forceinline__ hv2 q8x2(hv2 h)
{
#ifdef SWIN_NO_Q8
return h;
#endif
const u16x2 u = __builtin_bit_cast(u16x2, h);
const u16x2 m = u & (unsigned short)0x7fff;
u16x2 r = (m + (unsigned short)0x3f + ((m >> 7) & (unsigned short)1)) & (unsigned short)0x7f80;
r = __builtin_elementwise_min(r, (u16x2){0x5f00, 0x5f00});
const hv2 mag = __builtin_bit_cast(hv2, m);
const hv2 two = {(half_t)2.0f, (half_t)2.0f};
const u16x2 sub = __builtin_bit_cast(u16x2, (hv2)((hv2)(mag + two) - two));
const u16x2 lt = __builtin_bit_cast(u16x2, (i16x2)(__builtin_bit_cast(i16x2, (u16x2)(m - (unsigned short)0x2400)) >> 15));
r = (sub & lt) | (r & ~lt);
const u16x2 gt = __builtin_bit_cast(u16x2, (i16x2)(__builtin_bit_cast(i16x2, (u16x2)((unsigned short)0x7c00 - m)) >> 15));
r = (m & gt) | (r & ~gt);
return __builtin_bit_cast(hv2, (u16x2)(r | (u & (unsigned short)0x8000)));
}
// e4m3 code of h (RNE, satfinite) derived from q8(h): normals shift the exponent, subnormals are k * 2^-9
__device__ __forceinline__ uint32_t enc8(half_t h)
{
const uint32_t qb = __builtin_bit_cast(uint16_t, q8_exact(h));
const uint32_t m = qb & 0x7fffu;
const half_t mag = __builtin_bit_cast(half_t, (uint16_t)m);
uint32_t code = m >= 0x2400u ? (m >> 7) - 64u : (uint32_t)(uint16_t)(mag * (half_t)512.0f);
code = m > 0x7c00u ? 0x7fu : code;
return ((qb >> 8) & 0x80u) | code;
}
__device__ __forceinline__ half_t f16(float v)
{
return (half_t)v;
}
__device__ __forceinline__ half_t rsqrt16(half_t s)
{
return f16(1.0f / __builtin_sqrtf((float)(s + (half_t)(1.0f / 8192.0f))));
}
// natural channel c -> pair-order column, and inverse (per 32-channel group)
__device__ __forceinline__ int gperm(int c)
{
return 32 * (c >> 5) + 2 * ((c & 31) >> 2) + (c & 1) + 16 * ((c & 3) >> 1);
}
__device__ __forceinline__ int ginv(int n)
{
int m = n & 31, e = m >> 4, a = (m & 15) >> 1, b = m & 1;
return (n & ~31) + 4 * a + 2 * e + b;
}
// WMMA k16 step s of a k32 chunk: operand slot i holds logical k = kslot(s, i) (matches the weight
// memory runs). Activations live in LDS at apos(k), so an A operand is 16 contiguous halves.
__device__ __forceinline__ int kslot(int s, int i)
{
int a = 2 * s + (i >> 3), r = i & 7;
return (r < 4) ? (4 * a + r) : (16 + 4 * a + (r - 4));
}
__device__ __forceinline__ int apos(int k)
{
return (k & ~31) + 8 * ((k & 15) >> 2) + 4 * ((k >> 4) & 1) + (k & 3);
}
__device__ __forceinline__ int woff(int base, int Ks, int Ns, int k, int n)
{
int j = n >> 3;
return base + Ks * (k >> 5) + Ns * (j >> 1) + 64 * (n & 7) + 16 * ((k & 15) >> 2) + 8 * (j & 1) +
4 * ((k & 31) >> 4) + (k & 3);
}
__device__ __forceinline__ f8v wmma(h16 a, h16 b, f8v c)
{
return __builtin_amdgcn_wmma_f32_16x16x16_f16_w32(a, b, c);
}
__device__ __forceinline__ f8v round16(f8v v)
{
#pragma unroll
for (int i = 0; i < 8; ++i)
v[i] = (float)(half_t)v[i];
return v;
}
// A C-fragment tile: element i is row 2i + lane/16. Exact mode stores packed f16 (NVIDIA's f16
// accumulator, rounded after every k32 step); SWIN_F32ACC keeps f32 through whole GEMM chains
// (more precise than NVIDIA; values are rounded to f16 where they are consumed).
struct T16
{
#ifdef SWIN_F32ACC
f8v f;
__device__ hv2 pair(int k) const { return (hv2){(half_t)f[2 * k], (half_t)f[2 * k + 1]}; }
__device__ void set_pair(int k, hv2 p) { f[2 * k] = (float)p[0]; f[2 * k + 1] = (float)p[1]; }
__device__ half_t get(int i) const { return (half_t)f[i]; }
__device__ void set(int i, half_t h) { f[i] = (float)h; }
#else
hv2 v[4];
__device__ hv2 pair(int k) const { return v[k]; }
__device__ void set_pair(int k, hv2 p) { v[k] = p; }
__device__ half_t get(int i) const { return v[i / 2][i & 1]; }
__device__ void set(int i, half_t h) { v[i / 2][i & 1] = h; }
#endif
};
__device__ __forceinline__ T16 t16_splat(half_t h)
{
T16 t;
#pragma unroll
for (int k = 0; k < 4; ++k)
t.set_pair(k, (hv2){h, h});
return t;
}
#ifndef MIX_PAD
#define MIX_PAD ""
#endif
// acc = f16(P + acc), rounded once (v_fma_mix: verified == f16(exact sum) on 8.4M cases)
__device__ __forceinline__ hv2 mix2(float p0, float p1, hv2 c)
{
hv2 r = c;
asm(MIX_PAD "v_fma_mixlo_f16 %0, %1, 1.0, %2 op_sel_hi:[0,0,1]" : "+v"(r) : "v"(p0), "v"(c));
asm("v_fma_mixhi_f16 %0, %1, 1.0, %2 op_sel:[0,0,1] op_sel_hi:[0,0,1]" : "+v"(r) : "v"(p1), "v"(c));
return r;
}
__device__ __forceinline__ void mixacc(T16& acc, f8v P)
{
#pragma unroll
for (int k = 0; k < 4; ++k)
acc.set_pair(k, mix2(P[2 * k], P[2 * k + 1], acc.pair(k)));
}
#ifdef K32_CHECK
__device__ unsigned d4r_k32_bad[4 + 64 * 4];
#endif
// f16 accumulate of one k32 step (NVIDIA m16n8k32 semantics: products summed, one rounding with C)
__device__ __forceinline__ void k32(T16& acc, h16 a0, h16 b0, h16 a1, h16 b1)
{
#if defined(SWIN_F32ACC)
acc.f = __builtin_amdgcn_wmma_f32_16x16x16_f16_w32(a1, b1, __builtin_amdgcn_wmma_f32_16x16x16_f16_w32(a0, b0, acc.f));
#elif defined(K32_MIX)
f8v P = __builtin_amdgcn_wmma_f32_16x16x16_f16_w32(a0, b0, (f8v){0, 0, 0, 0, 0, 0, 0, 0});
P = __builtin_amdgcn_wmma_f32_16x16x16_f16_w32(a1, b1, P);
mixacc(acc, P);
#else // exact: C added inside the f32 WMMA, f16 rounding after the k32 step
f8v c;
#pragma unroll
for (int i = 0; i < 8; ++i)
c[i] = (float)acc.get(i);
c = __builtin_amdgcn_wmma_f32_16x16x16_f16_w32(a1, b1, __builtin_amdgcn_wmma_f32_16x16x16_f16_w32(a0, b0, c));
#pragma unroll
for (int i = 0; i < 8; ++i)
acc.set(i, (half_t)c[i]);
#endif
}
__device__ __forceinline__ f8v splat(float v)
{
return (f8v){v, v, v, v, v, v, v, v};
}
// lane xor shuffles without LDS: DPP within rows of 16, permlanex16 across the two rows
template <int MASK> __device__ __forceinline__ uint32_t xor_lane(uint32_t v)
{
if constexpr (MASK == 1)
return __builtin_amdgcn_update_dpp(0, (int)v, 0xB1, 0xf, 0xf, false);
else if constexpr (MASK == 2)
return __builtin_amdgcn_update_dpp(0, (int)v, 0x4E, 0xf, 0xf, false);
else if constexpr (MASK == 4)
return __builtin_amdgcn_update_dpp(0, (int)v, 0x164, 0xf, 0xf, false);
else if constexpr (MASK == 8)
return __builtin_amdgcn_update_dpp(0, (int)v, 0x168, 0xf, 0xf, false);
else
return __builtin_amdgcn_permlanex16((int)v, (int)v, 0x76543210, 0xfedcba98, false, false);
}
template <int MASK> __device__ __forceinline__ half_t hxor(half_t v)
{
return __builtin_bit_cast(half_t, (uint16_t)xor_lane<MASK>(__builtin_bit_cast(uint16_t, v)));
}
__device__ __forceinline__ int mirror(int v, int n)
{
v = v < 0 ? -v : v;
int o = 2 * n - 2 - v;
return v < o ? v : o;
}
__device__ __forceinline__ half_t hload(const uint8_t* w, int off)
{
return __builtin_bit_cast(half_t, *(const uint16_t*)(w + off));
}
__device__ __forceinline__ h16 lds16(const half_t* p)
{
h8 lo = *(const h8*)p, hi = *(const h8*)(p + 8);
return __builtin_shufflevector(lo, hi, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15);
}
__device__ __forceinline__ void wave_sync()
{
__builtin_amdgcn_fence(__ATOMIC_RELEASE, "wavefront");
__builtin_amdgcn_wave_barrier();
__builtin_amdgcn_fence(__ATOMIC_ACQUIRE, "wavefront");
}
// Token T (0..63) of a block: 8x8 tokens, windows of 4x4 (T >> 4)
__device__ __forceinline__ int tok_x(int T)
{
return (T & 3) + 4 * ((T >> 4) & 1);
}
__device__ __forceinline__ int tok_y(int T)
{
return ((T >> 2) & 3) + 4 * (T >> 5);
}
// ---------------------------------------------------------------- f16 weight images
// A GEMM's B operands expanded to f16 in WMMA lane order: h16 index
// dst + ((kc * 2 + s) * NT + nt) * 16 + lane16, holding logical k = 32 kc + kslot(s, i), n = 16 nt + lane16.
struct GemmDesc
{
int dst; // in h16 units
int base, Ks, Ns, KC, NT;
};
__device__ __forceinline__ h16 bload(const h16* w16, int gemm_dst, int NT, int kc, int s, int nt, int l16)
{
return w16[gemm_dst + ((kc * 2 + s) * NT + nt) * 16 + l16];
}
__device__ __forceinline__ void expand_weights(const uint8_t* w, h16* w16, const GemmDesc* descs, int ndesc, int idx)
{
int d = 0;
while (d + 1 < ndesc && idx >= descs[d + 1].dst)
++d;
const GemmDesc g = descs[d];
const int local = idx - g.dst;
if (local >= g.KC * 2 * g.NT * 16)
return;
const int l16 = local & 15, rest = local >> 4;
const int nt = rest % g.NT, s = (rest / g.NT) & 1, kc = rest / g.NT / 2;
const int n = 16 * nt + l16;
h16 v;
#pragma unroll
for (int i = 0; i < 16; ++i)
v[i] = e4m3_to_half(w[woff(g.base, g.Ks, g.Ns, 32 * kc + kslot(s, i), n)]);
w16[idx] = v;
}