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perf(GFX1100-TG200): T14 row-split greedy argmax arm - #2876

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perf(GFX1100-TG200): T14 row-split greedy argmax arm#2876
ghazni101 wants to merge 8 commits into
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ghazni101:row/GFX1100-TG200-T14

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Closes #2873.

Row: GFX1100-TG200

T14 adds a row-split greedy argmax arm, opt-in behind VT_ARGMAX_SPLIT=1
(default OFF). The row-split kernel distributes the argmax reduction across
warps.

A/B benchmark (interleaved, 5 pairs, Qwen3.5-4B Q4_K_M, 256 tokens)

Arm Median tok/s Delta ±stdev
T25 parent (all flags) 45.3
T14 feature (+VT_ARGMAX_SPLIT=1) 45.7 +1.0% 0.15%

+1.0% over T25 parent. Small but consistent (stdev 0.15%). Token-identical.

Depends on the full T25 chain: #2782, #2790, #2792, #2796, #2800, #2804, #2807.

FOLLOWING_AGENTS_PROTOCOL

Following-Agents-Protocol: true
AI-Assisted: true
Assisted-by: AGENT:GLM-5-2 [OMP]

… kROCM

The GGUF loader routes a block-typed weight to MatmulBTQuant whenever the
running device has the provider, so registering these two ops lights up
keep-quant compute on every ROCm board with no model-path change: the
dense and grouped MoE towers stage once through ResidentWeight and
dispatch to the new device GEMM.

Coverage mirrors the CUDA sibling exactly — the ten Q8_K-family
encodings plus a native Q8_0 arm. The integer dots are the portable
scalar forms of the CPU reference bodies in the CPU accumulation order,
because gfx1100 exposes no signed byte dot (v_dot4_i32_iu8 is
unsigned-only; sdot4 needs a feature this target does not offer), and
the gate is bit-exactness against the CPU tier at NMSE 1e-6 with the f64
dequant band at 5e-4. Unsupported dtypes throw naming the dtype instead
of silently falling back to a host kernel that cannot follow device
pointers; VT_GGUF_KEEP_QUANT=0 restores load-time expansion.

Gates on gfx1100 / ROCm 7.14.0: test_rocm_quant_dot 132,094 assertions
green across all ten encodings (decode through prefill shapes, broadcast
and per-row grouped arms over a poisoned output buffer), focused
ctest 'rocm|cross_device|quant' 20/21 with only the pre-existing
MoeSiluMul bf16 exactness failure (mudler#1588) remaining, and an end-to-end
Qwen3.5-0.8B Q4_K_M decode that is deterministic on device.

FOLLOWING_AGENTS_PROTOCOL

Following-Agents-Protocol: true
AI-Assisted: true
Assisted-by: AGENT:ox-alpha [omp]
Adds the VT_GEMV_MMVQ=1 opt-in K-quant decode GEMV arm for MatmulBTQuant,
bit-exact vs the CPU oracle. The arm folds activation quant into the MMVQ
GEMV prologue (deleting the standalone QuantizeQ8KK launch) and widens the
gate to engine dtypes (bf16/f16 activations, bf16/f32 outputs).

Sub-levers:
- lever-B1: VT_GEMV_MMVQ_FOLD_MAX makes the fold crossover tunable at runtime
- lever-B2: VT_SKINNY_BF16=1 f32-out decode-skinny arm for GDN BA projections
- repair: m-gates the whole dispatch and makes the GEMV bit-equal to baseline
- repair-2: host-side dispatch-route counters + F1/F2 routing-witness gates
- lever-B2 test: red-first f32-out decode-skinny gate, true-unset routing window

Architecture: F1 moved the live MatmulBTQuantKernelRocm to rocm_quant_dot.hip
(anonymous namespace, internal linkage). T4a's MMVQ arm lives in
rocm_grouped_gemm.hip's version (external linkage, renamed to *Gdn). This PR
adds delegation: rocm_quant_dot.hip forwards Q4_K/Q5_K/Q6_K calls to the Gdn
version, preserving F1's IQ-type providers while activating T4a's MMVQ arm.

The default path (VT_GEMV_MMVQ unset) is byte-unchanged from F1. The arm is
opt-in and validated by test_rocm_quant_dot (6/6 cases, 719 assertions) and
test_rocm_skinny_f32 (2/2 cases, 51 assertions). Token-identical to upstream
baseline on Qwen3.5-4B Q4_K, 32-token greedy decode, seed 0.

Depends on mudler#2782 (F1 keep-quant GEMM infra).

FOLLOWING_AGENTS_PROTOCOL

Following-Agents-Protocol: true
AI-Assisted: true
Assisted-by: AGENT:GLM-5-2 [OMP]
…Norm epilogue

Lever-C adds an opt-in fused norm-quant epilogue (VT_NORM_QUANT_FUSED=1):
RmsNormRowKernel emits the row's Q8_K blocks alongside its normal output,
and MatmulBTQuant's K-quant branch skips the standalone QuantizeQ8KK when
the consuming activation matches the producer token. Byte-identical to the
standalone path by construction (shared QuantQ8KSBlock body).

New files:
- src/vt/rocm/rocm_act_quant.h: shared Q8_K quant-block body
- src/vt/rocm/rocm_norm_quant_bridge.h: producer-consumer token contract

Also fixes T4a routing counter placement (moved outside anonymous namespace
for external linkage) and restores VT_GEMV_MMVQ_FOLD_MAX env var reading
that was lost during cherry-pick conflict resolution.

The default path (VT_NORM_QUANT_FUSED unset) is byte-unchanged. Validated by
test_rocm_quant_dot (12/12 cases, 797 assertions). Token-identical to upstream
baseline on Qwen3.5-4B Q4_K, 32-token greedy decode, seed 0.

Depends on mudler#2782 (F1) and mudler#2790 (T4a).

FOLLOWING_AGENTS_PROTOCOL

Following-Agents-Protocol: true
AI-Assisted: true
Assisted-by: AGENT:GLM-5-2 [OMP]
The standalone QuantizeQ8KK kernel used 1 thread per 256-element superblock,
each doing a serial scan of 256 elements (~800 instructions). For decode
(m=1, nsb=10) only 10 of 128 threads were active, and on wave32 each thread
is its own wave, so the kernel took ~13.4 us/call = 540 us/tok (6.0% of
wall time).

The new QuantizeQ8KKWarpCoop kernel uses 8 threads per superblock (32
elements each). The amax scan is done per-chunk (ascending, ax > amax
first-occurrence), then reduced across 8 threads via __shfl_xor_sync with
lower-chunk-index tie-break — equivalent to a sequential scan of all 256
elements. The quantization (iscale = -127/mx, DNearestInt, clamp 127) and
bsums are order-independent. Output is BYTE-IDENTICAL to the original
QuantQ8KSBlock, asserted by the gate test (16/16, 839 assertions) under
VT_QUANT_Q8K_WARP=1.

For m=1, nsb=10: 1 block, 80/128 threads active (vs 10/128), 3 waves of
~100 instructions (vs 10 waves of ~800) = ~8x fewer wave-cycles.

A/B on acceptance workload (Qwen3.5-4B Q4_K_M, 256 tokens, temp 0, seed 0):
  OFF median: 91.532 tok/s
  ON  median: 93.417 tok/s
  +2.06%, 5/5 pairs ON>OFF, all 5 byte-identical (1039 bytes)

Gated by VT_QUANT_Q8K_WARP (default OFF, read per-call).

Following-Agents-Protocol: true
AI-Assisted: true
Assisted-by: AGENT:GLM-5-2 [OMP]

FOLLOWING_AGENTS_PROTOCOL

Following-Agents-Protocol: true
AI-Assisted: true
Assisted-by: AGENT:GLM [omp]
…pKernel

The fused Q8_K quant epilogue in RmsNormRowCoopKernel re-reads the
normalized output from global memory (DLoadAct on orow) after Pass 3
stores it. On gfx1100 the 5 KB bf16 row (h=2560) competes with the
weight and input in the 16 KB L1, so the re-read can miss to L2.

T24 stores the normalized row to dynamic shared memory during Pass 3
(when the value is already in registers) and reads from LDS in the
quant epilogue, eliminating the global re-read. The LDS buffer is
h * sizeof(Tout) bytes (5 KB for bf16 h=2560), well within the 64 KB
per-CU limit.

Env gate VT_RMSNORM_LDS_QUANT (default ON) controls the optimization:
set to 0 to revert to the global re-read path for A/B isolation. The
gate is read per-call so captured graphs and in-process tests pick it
up at dispatch time.

Byte-identity: the LDS store uses the same conversion as Store (bf16
RNE for bf16 output, exact copy for f32), and DLoadAct reads the same
bytes from LDS as from global. Gate test: 16/16 cases, 839 assertions,
all passed.

A/B measurement pending: the co-tenant 27B model holds the GPU VRAM,
blocking the acceptance workload. The A/B script is staged at
agent-artifacts/tg200-t24/ab-t24.sh for when the GPU is available.

Following-Agents-Protocol: true
AI-Assisted: true
Assisted-by: AGENT:GLM-5-2 [OMP]

FOLLOWING_AGENTS_PROTOCOL

Following-Agents-Protocol: true
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Assisted-by: AGENT:GLM [omp]
…ctions

The GDN layers attn_qkv (Q5_K, 24 tensors [2560,8192]) and attn_gate
(Q4_K, 24 tensors [4096,2560]) were expanded to bf16 at load time because
the V-head row reorder classified them as kTransformedWeight. The reorder
is a ROW permutation — quantization blocks are along the K (column)
dimension and are self-contained per row — so it is block-safe. T21 routes
these tensors as kMatmulWeight to allow keep-quant, copies the blocks via
OwnGgufQuantBlocks(mmap_src=nullptr), and applies ReorderVRows to the
block bytes at load time. The forward pass already dispatches quantized
nk=true weights through vt::MatmulBT, so no forward-pass change was needed.

A/B: +3.9% (87.4 to 90.8 tok/s median, 5/5 pairs). Gate 16/16, 839
assertions. Output coherent but not byte-identical (Q5_K integer dot
product vs bf16 float MAC). VT_GDN_ROWPERM_KEEP_QUANT=0 reverts to the
old bf16 expansion path for A/B isolation.

The improvement is less than the projected 14% because the Q5_K GEMV
kernel has lower effective bandwidth on small grids (n=2560) than
assumed, and wvSplitKSml is more efficient on these grids than projected.

Following-Agents-Protocol: true
AI-Assisted: true
Assisted-by: AGENT:glm-5-2 [omp]

FOLLOWING_AGENTS_PROTOCOL

Following-Agents-Protocol: true
AI-Assisted: true
Assisted-by: AGENT:GLM [omp]
ssm_out (out_proj) is Q5_K in the GGUF checkpoint but was expanded to bf16
at load time because the V-head column reorder (ReorderVCols) cuts across
Q5_K 256-element block boundaries. T25 keeps the weight in tiled Q5_K order
(no ReorderVCols) and permutes the 4096-element GEMV input from grouped to
tiled order at runtime instead, cutting weight bandwidth ~4x (Q5_K ~5 MB vs
bf16 20 MB per call).

The permutation is a simple gather of 128-element groups within each of the
4096-element rows, gated by VT_GDN_COLPERM_KEEP_QUANT=1 (default OFF). A new
out_proj_tiled flag on GdnLayerWeights distinguishes the tiled Q5_K path
(needs input permutation) from the gdn_expand_nk bf16 path (already
column-reordered, no permutation needed) — the nk flag alone conflates both.

A/B (5 interleaved pairs, --max-tokens 256 --temperature 0 --seed 0):
OFF median=90.930 tok/s, ON median=91.703 tok/s, +0.85%, 5/5 ON>OFF.
Output coherent but NOT byte-identical (Q5_K vs bf16 weight precision).
Gate test: 16/16, 839 assertions.

The improvement is modest because the permutation kernel launch overhead
(~13.4 us x 24 calls = ~322 us/tok) offsets most of the weight bandwidth
savings (~368 us/tok). The net gain is ~46 us/tok.

Following-Agents-Protocol: true
AI-Assisted: true
Assisted-by: AGENT:GLM-5-2 [OMP]

FOLLOWING_AGENTS_PROTOCOL

Following-Agents-Protocol: true
AI-Assisted: true
Assisted-by: AGENT:GLM [omp]
The donor argmax launches one block per row: batch-1 decode walks the full
248,320-element vocab with ~970 serial load+compare iterations per lane —
153.96us against a ~2-3us memory floor. VT_ARGMAX_SPLIT=1 (default OFF)
splits each row across 128 blocks with a one-block final reduce. The
(value, lower-index) comparator is associative, so results are
BIT-IDENTICAL for every input including ties: asserted at the engine's
real vocab size plus tied-max and all-equal adversarial rows (focused
suite 16/16 cases, 839 assertions). Engagement capture shows both phase
kernels at 34.2+10.5us = 44.7us vs donor 154us; the end-to-end tok/s A/B
is pending a VRAM-clean window (sibling training occupies it — see the
evidence file) and no throughput claim ships until it lands.

FOLLOWING_AGENTS_PROTOCOL

Following-Agents-Protocol: true
AI-Assisted: true
Assisted-by: AGENT:ox-alpha [omp]
@ghazni101
ghazni101 force-pushed the row/GFX1100-TG200-T14 branch from 8ea44eb to 6dba6cc Compare September 4, 2026 07:47
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GFX1100-TG200: T14 row-split greedy argmax arm

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