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d4r/kernels/m/rrlite_enc1_4x4.hip
T
woutermans a7d565d1cd Token-lane block for the RDNA4 native-FP8 layers: enc1, dec1 and the enc3 tube
swin_tok.h passes the weights as the first WMMA operand and the activations as the second, so each GEMM's encoded result is already the next one's operand and stays in registers (swin_block.h transposes every result through LDS). One wave owns one 4x4 window for the whole block: norms, attention and the MLP need no LDS and no barriers; only the patch expand and the patch merge go through an e4m3 image in LDS. Outputs are bit-identical to swin_block.h (swapped WMMA operand roles, verified on an RX 9070 XT and on recorded launches). mix2 rounds in place (accumulator is addend and destination, no copy per pair). -DSWIN_NO_TOKEN_LANES builds these layers from swin_block.h again; enc2 and dec2 are unchanged. RX 9070 XT accuracy set, 2560x1440 render: whole evaluation 8.56 -> 7.18 ms.
2026-10-06 22:10:41 +02:00

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// fast numerics: intermediate activations f16 (no FP8 re-quantisation), f32 accumulation through GEMM chains
#define SWIN_NO_Q8
#define SWIN_F32ACC
#ifndef SWIN_MAX_VGPR
#define SWIN_MAX_VGPR 192
#endif
#ifndef SWIN_MLP_R
#define SWIN_MLP_R(NW) 1
#endif
#define SWIN_SCALAR_BLOAD // scalar-base weight loads: faster here (no spills), slower in the 8-wave layers
// RDNA4 native FP8 builds use the token-lane block (swin_tok.h); -DSWIN_NO_TOKEN_LANES keeps swin_block.h
#ifndef SWIN_NO_TOKEN_LANES
#define SWIN_TOKEN_LANES
#endif
#include "swin_block.h"
#ifndef SWIN_NW
#define SWIN_NW 4
#endif
SWIN_MODULE_W(rrlite_enc1_4x4, 64, 2, SWIN_NW, 96, false, CommonParams, 0)