- Add default-off PreferAccuracy for all native kernel families,
including RDNA4 FP8 variants.
- Restore intermediate FP8 quantization, per-MMA FP16 rounding,
denormal handling and NGX synchronization in accuracy mode.
- Select separately marked accuracy kernels and use a separate JIT
cache; reject mixed sets and never silently substitute fast kernels.
- Add a pinned GLIBC 2.41 build environment for ZLUDA/LLVM, the DLLs
and both kernel sets, with ABI checks and toolchain provenance.
- Support parallel target builds and pre-extracted PTX; correct
ROCm header paths and Clang-CL input handling.
- Bump to 0.1.3 and update release notes, documentation and tests.
Validation: 11 tests passed; all 912 kernels built; E/K/M GPU harness
runs completed with accuracy off/on. Packaged libraries loaded under
GLIBC 2.41 and require no GLIBC version newer than 2.38.
RTX image-quality parity remains unverified.
Fixes#6
Refs #6
RDNA4 (experimental; untested on RDNA4 hardware)
- kernels/common/wmma_layout.h picks the WMMA operand/accumulator layout
per target; K (pwin_*) and M (swin_*) index through it, so the same
sources build for gfx11 and gfx12. D4R_WMMA_LAYOUT=12 on gfx11 is a test
shim that runs the gfx12 indexing on gfx11 WMMA.
- M can use native e4m3 FP8 WMMA on gfx12 (D4R_NATIVE_FP8=1). Texture
tails (enc0_tail, dec0_head) get gfx12 f16 and FP8 paths that match
ZLUDA's gfx12 lowering.
- ZLUDA patch 0007: gfx12 WMMA helpers, optional native FP8 MMA
(D4R_ZLUDA_WMMA_FP8_NATIVE), a layout override for testing, and an
architecture argument for d4r_emit. Texture kernels are now compiled
offline per target through d4r_emit (D4R_ZLUDA_EMIT) instead of on the
local GPU.
- New d4r.ini option [Kernels] NativeFp8 (default on), wired through the
shim and d4r_config.py. On gfx12 the bridge serves kernels/<arch>-fp8
when it is on.
- The bridge picks the KFD GPU with the most SIMDs (so an iGPU is not
chosen over a discrete GPU); D4R_GPU_ARCH overrides it.
- kernels/build.sh and package_release.sh build gfx1100-gfx1103 and
gfx1200/gfx1201 (plus -fp8 variants), and D4R_BUNDLE_TEX takes
per-target folders.
Performance (RDNA3; harness byte-identical unless noted)
- ZLUDA patch 0006: m16n8k8 f16 MMAs on WMMA (E; not bit-exact, 52-55 dB
per layer, D4R_ZLUDA_WMMA_K8=0 disables it), per-key weight-image slots
for native prep kernels (d4r_prep_key_at, d4r_prep_key_slots), and
wave64 builds of MMA-free kernels (D4R_ZLUDA_WAVE64).
- M: packed FP8 encoding, conflict-free patch-merge reads, scalar weight
loads in enc1, and weight prep once per weight set for the six enc3
tube blocks.
- K: CU mode for the six non-wide pwin layers.
- Texture kernels: every DLSS flag variant is built natively (24 K output,
8 M post, 4 M downsample, 4 M enc0), not only Townfall's; post and K
output run as wave64.
- M direct output: rrlite_downsample_kernel writes the shim's output
buffer; the shim's default direct-output presets are now 11,13.
Tools
- dump_runner takes the prep grid from d4r_prep_blocks and refuses
texture/surface dumps.
- New pwin_check.py, swin_check.py, model_enc3.py and tail_check.hip.
Docs: README GPU table and RDNA4 notes, building (patches 0002-0007,
d4r_emit), native-kernels (RDNA4 section), performance (new numbers),
packaging README. Version 0.1.2.
ayo