gqa(decode-4cases): give Case 4 its own thin kernel file for naming symmetry

Cases 1-3 each have a dedicated _gqa_attention_decode_<case>.py
kernel file; Case 4 previously reached into _gqa_attention_decode_long.py
via the headline bench's _run_decode_panel helper, breaking the
one-file-per-case convention. Adds _gqa_attention_decode_cube_sp_pe_sp.py
as a 20-line wrapper that bakes in sub_w=4 (the C=8 lrab geometry)
and gives Case 4 its own kind ("decode_cube_sp_pe_sp") and helper
(_run_decode_panel_cube_sp_pe_sp). decode_long.py is unchanged
(still serves the legacy decode_long tests). 16 tests pass.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
This commit is contained in:
2026-06-15 15:58:11 -07:00
parent 0ef4fde5d8
commit 3c155be8e6
3 changed files with 94 additions and 9 deletions
@@ -0,0 +1,46 @@
"""GQA decode kernel — Case 4 (Cube-SP × PE-SP). ★ slide-11 optimal.
This is a thin entry-point wrapper around the underlying decode_long
lrab-adapted center-root kernel with ``sub_w`` baked to 4 (the C=8
single-KV-head-group geometry: 4×2 cube sub-mesh, root cube 6). The
math lives in ``_gqa_attention_decode_long.py`` (which still serves
non-4-cases panels via ``sub_w=0`` and the headline GQA bench); this
file exists so the 4-cases bench refers to all four cases via
parallel ``_gqa_attention_decode_<case>.py`` kernel-file names.
Per GQA_full_deck.pptx slide 11:
- K, V split 64-way (cube=row_wise, pe=row_wise); each rank owns
S_local = S_kv / (C·P).
- Two-level reduce on the partial (m, , O): intra-CUBE 8-way
(row chain + col bridge over the 2×4 PE grid) then inter-CUBE
2-phase lrab over the 4×2 cube sub-mesh — converges at cube 6.
- PE 0 of CUBE 6 stores O.
"""
from __future__ import annotations
from kernbench.benches._gqa_attention_decode_long import (
gqa_attention_decode_long_kernel,
)
def gqa_attention_decode_cube_sp_pe_sp_kernel(
q_ptr: int,
k_ptr: int,
v_ptr: int,
o_ptr: int,
T_q: int,
S_kv: int,
h_q: int,
h_kv: int,
d_head: int,
C: int,
P: int,
*,
tl,
) -> None:
"""Case-4 decode: Cube-SP × PE-SP, lrab center-root at cube 6."""
gqa_attention_decode_long_kernel(
q_ptr, k_ptr, v_ptr, o_ptr,
T_q, S_kv, h_q, h_kv, d_head, C, P, 4, # sub_w=4 baked in
tl=tl,
)
@@ -38,12 +38,14 @@ from kernbench.benches._gqa_attention_decode_cube_repl_pe_sp import (
from kernbench.benches._gqa_attention_decode_cube_repl_pe_tp import ( from kernbench.benches._gqa_attention_decode_cube_repl_pe_tp import (
gqa_attention_decode_cube_repl_pe_tp_kernel, gqa_attention_decode_cube_repl_pe_tp_kernel,
) )
from kernbench.benches._gqa_attention_decode_cube_sp_pe_sp import (
gqa_attention_decode_cube_sp_pe_sp_kernel,
)
from kernbench.benches._gqa_attention_decode_cube_sp_pe_tp import ( from kernbench.benches._gqa_attention_decode_cube_sp_pe_tp import (
gqa_attention_decode_cube_sp_pe_tp_kernel, gqa_attention_decode_cube_sp_pe_tp_kernel,
) )
from kernbench.benches.milestone_gqa_headline import ( from kernbench.benches.milestone_gqa_headline import (
_ccl_cfg, _ccl_cfg,
_run_decode_panel,
_summarize_op_log, _summarize_op_log,
) )
from kernbench.benches.registry import bench from kernbench.benches.registry import bench
@@ -74,10 +76,11 @@ _PANELS = (
# 8 cubes (head-parallel group), 8 PEs/cube # 8 cubes (head-parallel group), 8 PEs/cube
# S_kv = 128K (long-context decode), T_q = 1 (one new token per pass) # S_kv = 128K (long-context decode), T_q = 1 (one new token per pass)
_PANEL_DISPATCH: dict[str, tuple[str, dict]] = { _PANEL_DISPATCH: dict[str, tuple[str, dict]] = {
"single_kv_group_decode_gqa_cube_sp_pe_sp": ("decode", { "single_kv_group_decode_gqa_cube_sp_pe_sp": ("decode_cube_sp_pe_sp", {
# Case 4: KV split 64-way (Cube-SP × PE-SP), 2-level reduce. # Case 4: KV split 64-way (Cube-SP × PE-SP), 2-level reduce.
# sub_w=4sub_h=2 lrab center-root cube = (1,2) = cube 6. # The sub_w=4/sub_h=2 lrab center-root geometry (root cube 6) is
"C": 8, "P": 8, "sub_w": 4, # baked into the Case-4 wrapper kernel.
"C": 8, "P": 8,
"T_q": 1, "S_kv": 131_072, "T_q": 1, "S_kv": 131_072,
"d_head": 128, "h_q": 8, "h_kv": 1, "d_head": 128, "h_q": 8, "h_kv": 1,
}), }),
@@ -209,12 +212,44 @@ def _run_decode_panel_cube_sp_pe_tp(
) )
def _run_decode_panel_cube_sp_pe_sp(
ctx, *, panel: str, C: int, P: int,
T_q: int, S_kv: int,
d_head: int, h_q: int, h_kv: int,
) -> None:
"""Case 4 runner: K, V split 64-way (Cube-SP × PE-SP).
DPPolicy: K, V are cube=row_wise, pe=row_wise — each rank owns
S_local = S_kv/(C·P). The wrapper kernel bakes in the lrab
sub_w=4 / sub_h=2 geometry (root cube 6, ADR-0060 §4.2).
"""
configure_sfr_intercube_multisip(ctx.engine, ctx.spec, _ccl_cfg())
dp_full = DPPolicy(cube="replicate", pe="replicate",
num_cubes=C, num_pes=P)
dp_kv = DPPolicy(cube="row_wise", pe="row_wise",
num_cubes=C, num_pes=P)
q = ctx.zeros((T_q, h_q * d_head),
dtype="f16", dp=dp_full, name=f"{panel}_q")
k = ctx.zeros((S_kv, h_kv * d_head),
dtype="f16", dp=dp_kv, name=f"{panel}_k")
v = ctx.zeros((S_kv, h_kv * d_head),
dtype="f16", dp=dp_kv, name=f"{panel}_v")
o = ctx.empty((T_q, h_q * d_head),
dtype="f16", dp=dp_full, name=f"{panel}_o")
ctx.launch(
panel, gqa_attention_decode_cube_sp_pe_sp_kernel,
q, k, v, o,
T_q, S_kv, h_q, h_kv, d_head, C, P,
_auto_dim_remap=False,
)
def _make_bench_fn(panel: str): def _make_bench_fn(panel: str):
kind, params = _PANEL_DISPATCH[panel] kind, params = _PANEL_DISPATCH[panel]
def _bench_fn(ctx): def _bench_fn(ctx):
if kind == "decode": if kind == "decode_cube_sp_pe_sp":
_run_decode_panel(ctx, panel=panel, **params) _run_decode_panel_cube_sp_pe_sp(ctx, panel=panel, **params)
elif kind == "decode_cube_repl_pe_tp": elif kind == "decode_cube_repl_pe_tp":
_run_decode_panel_cube_repl_pe_tp(ctx, panel=panel, **params) _run_decode_panel_cube_repl_pe_tp(ctx, panel=panel, **params)
elif kind == "decode_cube_repl_pe_sp": elif kind == "decode_cube_repl_pe_sp":
@@ -98,10 +98,13 @@ def test_case4_panel_registered():
Headline config: Headline config:
C = 8 (head-parallel CUBE Group) C = 8 (head-parallel CUBE Group)
P = 8 (intra-CUBE PE-SP) P = 8 (intra-CUBE PE-SP)
sub_w = 4 (lrab-adapted center-root reduce; root cube 6)
T_q = 1 (decode: one new token per pass) T_q = 1 (decode: one new token per pass)
S_kv = 131_072 (LLaMA long-context decode target) S_kv = 131_072 (LLaMA long-context decode target)
d_head = 128, h_q = 8, h_kv = 1 d_head = 128, h_q = 8, h_kv = 1
The lrab sub_w=4 / sub_h=2 geometry is baked into the Case 4
wrapper kernel (``_gqa_attention_decode_cube_sp_pe_sp.py``); it
is not a panel parameter.
""" """
from kernbench.benches.milestone_gqa_decode_4cases import ( from kernbench.benches.milestone_gqa_decode_4cases import (
_PANEL_DISPATCH, _PANEL_DISPATCH,
@@ -112,10 +115,11 @@ def test_case4_panel_registered():
) )
assert _CASE4_PANEL in _PANEL_DISPATCH assert _CASE4_PANEL in _PANEL_DISPATCH
kind, params = _PANEL_DISPATCH[_CASE4_PANEL] kind, params = _PANEL_DISPATCH[_CASE4_PANEL]
assert kind == "decode", f"kind={kind!r}, expected 'decode'" assert kind == "decode_cube_sp_pe_sp", (
f"kind={kind!r}, expected 'decode_cube_sp_pe_sp'"
)
assert params.get("C") == 8 assert params.get("C") == 8
assert params.get("P") == 8 assert params.get("P") == 8
assert params.get("sub_w") == 4
assert params.get("T_q") == 1 assert params.get("T_q") == 1
assert params.get("S_kv") == 131_072 assert params.get("S_kv") == 131_072
assert params.get("d_head") == 128 assert params.get("d_head") == 128