[TRTLLM-15030][fix] CuteDSL MLA decode follow-ups: bucket AutoTuner fallback, autotune + disagg tests - #17792
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Included review availability: Your plan includes up to 12 reviews per rolling hour; 11 remain after this review. WalkthroughCuTe DSL MLA decode fallback selection now uses the last power-of-two batch bucket. Unit tests cover autotuning, tactic reuse, and batch-65 fallback. Disaggregated DeepSeek-V3-Lite BF16 TP2 smoke-test coverage was added. ChangesCuTe DSL MLA decode
Estimated code review effort: 3 (Moderate) | ~20 minutes Merge Risk: 🔵 Low · up to The PR changes fallback tactic selection and adds autotune and disaggregated-generation coverage. It is mergeable with owner awareness that the non-power-of-two fallback path remains specifically untested. Suggested reviewers: 🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
✨ Finishing Touches🧪 Generate unit tests (beta)
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In `@tests/unittest/_torch/attention/test_attention_mla.py`:
- Line 595: Add -> None return annotations to
test_attention_mla_cute_dsl_autotune and run_once in
tests/unittest/_torch/attention/test_attention_mla.py, and to
test_disaggregated_deepseek_v3_lite_bf16_gentp2_cute_dsl_mla_smoke in
tests/integration/defs/disaggregated/test_disaggregated.py.
- Line 624: Extend the attention MLA test around the existing batch-64 case to
add a focused batch-65 assertion, verifying that its fallback split_kv matches
batch 64 and that it reuses the same bucketed kernel variant through
default_tactic().
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tensorrt_llm/_torch/custom_ops/cute_dsl_custom_ops.pytests/integration/defs/disaggregated/test_configs/disagg_config_ctxtp1_gentp2_deepseek_v3_lite_bf16_cute_dsl.yamltests/integration/defs/disaggregated/test_disaggregated.pytests/integration/test_lists/test-db/l0_dgx_b200.ymltests/unittest/_torch/attention/test_attention_mla.py
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When the AutoTuner returns its -1 sentinel (cache miss at serving time), the op falls back to default_tactic, which derived split_kv from the raw runtime batch size. Tuning only ever profiles (and cute.compiles) the split_kv derived from each power-of-2 tuning bucket, so a raw-batch fallback almost always names a never-compiled kernel variant and JIT-compiles it inside the serving loop. Round the batch down to its tuning bucket (the same last_positive_power_of_2 mapping the tuning config uses) before deriving split_kv: a fallback on a tuned runner now reuses an already-compiled kernel, and on an untuned runner the number of distinct fallback variants is bounded by the bucket count instead of one per distinct batch size. The is_persistent choice is unchanged: its threshold (64) is a power of two, so rounding down to a power of two never crosses it. Signed-off-by: Brian Nguyen <brnguyen@nvidia.com>
test_attention_mla runs with the autotuner off, so the CuTe DSL MLA decode op only ever exercises its default_tactic (-1) branch. Add a tuning-mode test on the fp8-KV DeepSeek decode geometry that asserts: - a tuning-mode pass profiles the op and both tactic elements the tuner owns (split_kv and both is_persistent candidates are compiled), and - a subsequent serving-mode pass reuses the tuned kernels with no new runtime cute.compile (which would stall the serving loop), while matching the reference output. The l0_b200 list already collects unittest/_torch/attention as a directory, so the new test runs in pre-merge B200 CI without a test-list change. Signed-off-by: Brian Nguyen <brnguyen@nvidia.com>
A disaggregated generation server runs decode-only batches, so the decode-only CuTe DSL MLA lib takes essentially every forward there, yet no disagg test covered it and the only off switch (TLLM_FMHA_LIBS) is unset in every checked-in disagg config. Add one smoke: DeepSeek-V3-Lite bf16 on a ctxTP1+genTP2 cluster (gen TP2 yields the 16 heads/rank the bf16 path admits at any batch size), asserting client output and the lib's kernel-compile marker in a generation-worker log so a silent fallback to the next FMHA lib fails the test. Signed-off-by: Brian Nguyen <brnguyen@nvidia.com>
The disagg decode-only smoke for the CuTe DSL MLA FMHA lib was added without a test-list entry, so it never ran in pre-merge/post-merge CI. Register it in the 8-GPU B200 post_merge block next to the peer bf16 DeepSeek disagg test; the smoke needs 3 GPUs (ctxTP1+genTP2) and gates on SM100/SM103, both satisfied there. Signed-off-by: Brian Nguyen <brnguyen@nvidia.com>
Signed-off-by: Brian Nguyen <brnguyen@nvidia.com>
…otune test The autotune test tuned at batch 64 and re-ran at batch 64, which never executes the bucketed default_tactic fallback this PR changes (a bucket-aligned batch always hits the tuned cache). Add a serving pass at batch 65 with the AutoTuner cache cleared so choose_one returns its -1 sentinel: assert (via a default_tactic spy) that the fallback ran at batch 65, returned batch-64's tactic, and reused a tuning-compiled kernel variant (no new cute.compile), with numerics still checked against the reference inside the run. Since split_kv(65) can coincidentally equal split_kv(64) on some GPUs, a pinned-occupancy check (max_active_blocks patched to 256, where raw batch 65 and bucket 64 disagree) makes the bucketing regression detection hardware-independent. Addresses the review comment at test_attention_mla.py:624. Signed-off-by: Brian Nguyen <brnguyen@nvidia.com>
…fp8_nixl test Reviewers asked to reuse an existing disagg test instead of adding a new cluster config (addresses @Shixiaowei02's and @reasonsolo's review). test_disaggregated_deepseek_v3_lite_fp8_nixl already runs ctxTP2+genTP2 DeepSeek-V3-Lite and is registered on l0_dgx_b200 (pre_merge), l0_dgx_b300 and l0_dgx_h100: gen TP2 yields the 16 heads/rank the CuTe DSL MLA decode lib's bf16-KV path admits at any batch size (the fp8 block-scale checkpoint keeps a bf16 KV cache), so on SM100/103 the lib takes essentially every generation forward there. Add the SM100/103-gated kernel-compile-log assertion (with INFO logging on the gen workers only) to that test, and drop the dedicated smoke test, its cluster config, and its l0_dgx_b200 registration. The test carried a stale Hopper-only @skip_no_hopper gate (duplicated, along with @skip_arm, by the consolidation in NVIDIA#16614) that silently skipped it on its pre-existing B200/B300 registrations. Drop the Hopper gate and dedupe @skip_arm: placement is controlled by the test lists, and NIXL disagg runs on Blackwell in CI today (e.g. TestGLM52NVFP4's test_nvfp4_nixl on l0_dgx_b200). This makes the B200/B300 registrations live; this PR's B200 pre_merge CI validates the test passes there. Net CI delta: one fewer disagg cluster spin-up in the 8-GPU B200 post_merge stage; no new configs anywhere. Signed-off-by: Brian Nguyen <brnguyen@nvidia.com>
Signed-off-by: Brian Nguyen <brnguyen@nvidia.com>
The prior change dropped the stale Hopper-only @skip_no_hopper from test_disaggregated_deepseek_v3_lite_fp8_nixl to unblock its B200/B300 registrations, but that left the test runnable on pre-Hopper hardware. Add @skip_pre_hopper (SM >= 90) so Hopper and Blackwell stay live while pre-Hopper is gated out. Signed-off-by: Brian Nguyen <brnguyen@nvidia.com>
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Description
Follow-up fixes for the CuteDSL FP8/FP16 MLA decode FMHA lib (added by #15138, TRTLLM-12807), promised as a separate PR when #15138 merged with four review threads left open. The original follow-up PR #17266 was closed unmerged; this re-lands the in-scope fixes by cherry-picking them onto current
main. The out-of-scopeCuteDslMlaFmha→CuteDslFmharename is intentionally excluded (the CuteDSL prefill integration will do it).Fixes
AutoTuner
-1fallback JIT-compiles in the serving loop. When the engine skips generation warmup (guided decoding, PP, draft engines), the fallback tactic derivedsplit_kvfrom the raw batch size — a variant tuning never compiled — triggeringcute.compileinside the serving loop.default_tacticnow rounds the batch down to its tuning bucket, so a tuned runner reuses an already-compiled kernel and an untuned runner compiles at most one variant per bucket.test_attention_mla_cute_dsl_autotune— tuning pass asserts both tuner-owned tactic elements (split_kv,is_persistent) are profiled and compiled; serving pass asserts zero new runtimecute.compileand reference-matching output. Collected byl0_b200.ymlvia the existing directory entry. Also the regression guard for fix 1.test_disaggregated_deepseek_v3_lite_bf16_gentp2_cute_dsl_mla_smoke— a disagg generation server runs decode-only batches, so this decode-only lib takes essentially every forward there. Minimal ctxTP1+genTP2 DeepSeek-V3-Lite bf16 cluster; asserts client output and requires the lib's kernel-compile log marker in a generation-worker log, so a silent fallback fails the test. Registered inl0_dgx_b200.yml(8-GPU B200 post_merge block, next to the peer bf16 disagg test) — the closed [TRTLLM-12807][feat] add CuteDSL FP8/FP16 MLA decode attention fmha lib #17266 branch omitted this registration, so the test would never have run in CI.Provenance
The three fix commits are cherry-picked verbatim from #17266 (authored on top of the merged-#15138 state, before the rename); they use
cute_dsl_mla, the namemainkept. The test-list registration (fix 3) is the one new commit.Test Coverage
test_attention_mla_cute_dsl_autotune(B200, directory-collected).test_disaggregated_deepseek_v3_lite_bf16_gentp2_cute_dsl_mla_smoke[DeepSeek-V3-Lite-bf16](B200 post_merge).PR Checklist
pre-commit run --files <touched>clean.Dev Engineer Review
waives.txtto its base state. No unrelated waiver changes remain.QA Engineer Review
test-db/orqa/entry.tests/integration/test_lists/test-db/l0_dgx_b200.yml.