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.
This commit is contained in:
1 parent
7c60d53cd0
commit
a7d565d1cd
7 files changed
+730
No files matched your search
@@ -8,6 +8,10 @@
|
||||
#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
|
||||
|
||||
Reference in new issue
Block a user