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fix(server): pack over-budget turns in arrival order - #656
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Refs superlinked#390 Starvation was cost-order, not inference time: cheaper items kept filling max_batch_cost, so a high-cost extract request never reached the front even though the GPU work itself is only seconds.
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Check name Status Explanation Title check The title clearly identifies the main change: serving over-budget turns in arrival order during batching. Linked Issues check Check skipped because no linked issues were found for this pull request. Out of Scope Changes check Check skipped because no linked issues were found for this pull request. Description Check Check skipped - CodeRabbit’s high-level summary is enabled.
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- 🪄 Fix CodeRabbit comments on this PR
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Review comments at @packages/sie_server/tests/core/test_batcher.py:
- Line 1301: Update the test around `clock.monotonic` so it saves the real clock
and assigns it to the running event loop’s `time` method before monkeypatching
`time.monotonic`. This keeps `asyncio.wait_for` able to enforce its timeout if
`get_batch` stalls.
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an item is promoted after 15 ms (max_batch_wait_ms), so under load nearly every batch is “oldest plus cheapest”. That affects encode and score too, not just extract. There are no throughput numbers, the Rust sidecar batcher isn’t changed, and the tests can hang. Trying the #648 setting on GLiClass would be a better first step.
… window" The 15ms promotion is reverted because it reschedules encode and score, not only extract. This reverts commit 70408e9.
…-large-v1.0 Refs superlinked#390 This follows the superlinked#648 profile setting instead of a global batcher change.
YeonwooSung
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The scheduler change is reverted for the reason in the review: promoting a request after 15 ms reschedules encode and score, not only extract, and under load nearly every batch is the oldest item plus cheaper work. The replacement is the profile setting from #648. Adaptive batching is turned off on knowledgator/gliclass-large-v1.0 only, and the other GLiClass catalogs are unchanged. packages/sie_server/tests/core/test_batcher.py passes as on main (89 passed). The shipped model schema check passes, and the GLiClass test that loads the profile YAML still passes. No throughput numbers are claimed. |
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Thanks for reverting the scheduler change. The PR is now the 4-line adaptive_batching.enabled: false on knowledgator/gliclass-large-v1.0, which is the same shape as #648. To merge it we need the evidence #648 came with:
- Measurements. #648 had a one-L4 benchmark (base vs change at several in-flight levels over steady intervals) and an output-equivalence check. Could you run the same protocol for this model, plus the #390 reproduction with timeout counts before and after? Without that we cannot tell whether this resolves #390, so "Refs #390" fits better than a fix claim.
- Scope. 20 profiles under
packages/sie_server/models/use the GLiClass adapter, and only one changes here. If the numbers hold, please either apply it to all of them or explain why only this one.
Please also trim the description to the final change, since it still opens with the reverted scheduler work.
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The 15 ms scheduler promotion stays reverted. Measurements. Not run, and none are claimed. #648 used one L4, base vs change, several in-flight levels, steady intervals, and an output-equivalence check. #390 also needs timeout counts before and after. This machine has no NVIDIA GPU, so that protocol cannot be run here. No benchmark was run. There are no throughput, latency, or timeout numbers for this change. Scope. 20 catalogs under Description. It now describes only that YAML change and uses |
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The bounded L4 comparison reproduced the mixed-load stall, and this profile-only change did not resolve it. Both arms had one 300-second read timeout in each of the The public harness and method ran the real SIE server and The fixed mixed phase used 480 seconds of arrivals: 12 cheap one-item lanes and four 24-item heavy lanes (
Latency columns describe successful calls only; the timeouts are retained separately. Both candidate long requests were admitted within 11 ms but dispatched zero of 24 items before the timeout. First dispatch was at 482.63 seconds and 497.43 seconds, after the cheap arrival window ended. More than 1,600 cheap requests completed during the final 30 seconds before each timeout. All four timed-out requests across both arms eventually completed on the server, 195–212 seconds after the client deadline; no request remained unresolved at shutdown. The steady phases had eight sequential warmups each. Rates below count actual successful completions during the arrival window; all submitted calls completed successfully, including those finishing in the drain.
This was one ordered baseline→candidate pair, not statistical throughput equivalence. Candidate completion throughput was +2.57% at C1, −3.07% at C8 and −0.67% at C32. All successful measured responses passed the prospectively fixed absolute 0.002 FP16 comparison, including direct candidate-to-baseline checks, with exact item count/order, labels, chosen values, model identity and no item errors. Maximum observed numeric difference was 0.001953125. This concerns the fixed fixtures, not classification quality. The run retained all outcomes and used unchanged ceilings: runner 3,900 s, operator 4,500 s, provider 4,800 s, outer guard 5,100 s and startup 300 s. Actual runner time was 2,044.91 s. Both servers and all ten SDK processes exited; the owned app was stopped and independently verified with zero containers. The complete 92-member archive (29,105,457 compressed bytes; 282,560,100 raw bytes) is retained with SHA-256 Only one of the 20 GLiClass profiles is changed by this PR, and even that profile retains the reproduced long-item failure. The next step is a separately reviewed scheduler progress fix and deterministic starvation controls, not extending this setting to other models. The existing human requested-changes review is unchanged; this result does not support merging the profile-only proposal as a resolution of #390. |
The L4 comparison showed that disabling the controller on knowledgator/gliclass-large-v1.0 does not dispatch the over-budget rows in superlinked#390. The profile matches main again. Refs superlinked#390
Cost-sorted packing never reaches an item above the configured batch cost while a cheaper item is waiting, so a cheap stream holds it until the stream ends. Those items now take turns with one cheaper batch, and the over-budget batch is that item alone. Items that fit the configured cost stay on cost order. This does not promote by wait time. Refs superlinked#390
YeonwooSung
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The profile opt-out is removed. The L4 run showed it leaves the long rows undispatched, and I am not treating that run as a reason to widen the flag. The replacement is in Tests cover the 24-row case with cheaper rows still arriving, the fitting-item cost order, a raised live budget, and a seeded bound. |
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- 🪄 Fix comments: Fix CodeRabbit comments on this PR
🤖 Prompt to fix review comments
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Inline comments:
Review comments at @packages/sie_server/src/sie_server/core/batcher.py:
- Around line 478-504: Reset _last_over_budget_batch whenever extraction or
drain_pending() leaves the queue empty, so _over_budget_turn() starts the next
queue using its oldest item rather than stale lane history.
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A finished batch left the lane flag set, so the next queue served a cheaper batch before an older over-budget item. Clearing the flag when the queue is empty, including drain_pending, makes that queue follow its oldest item. Refs superlinked#390
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Thanks for the rewrite, this shape is much better than the 15 ms promotion. With nothing over budget pending, batches match main, items that fit are never promoted, and the tests drive the real BatchFormer deterministically. The CodeRabbit empty-queue finding is fixed too.
Before this can merge:
- Measurement. There is no L4 measurement of this head yet. It needs the #390 mixed-length run against main: long-request timeouts and time to first dispatch, short-request p95 in the mixed phase, throughput at C1, C8 and C32, and the output-equivalence check.
- One item per over-budget turn. An over-budget turn always takes exactly one item (
batcher.py:581breaks after the first), even when nothing cheaper is pending. When the adaptive controller has raised the live budget above the configured one, main packs several of these items into one batch and this PR runs them one at a time. That also reaches encode and score models whosemax_sequence_lengthis abovemax_batch_tokens. Could the turn keep adding over-budget items in arrival order while they fit the live budget, with a test for it? - Sidecar doc.
sie_server_sidecar/src/scheduler/batch_former.rs:84-87says Python packing "remains strictly cost-sorted", which is no longer true after this change. - Docstring. Lines 44-45 read as if ordinary items stop while a
runs_aloneitem is pending. It is the over-budget lane that pauses, and the k+1 bound does not hold during that time. Please say so. The comments at lines 196-197 and 665 can also go.
Items that fit the budget can still wait behind cheaper work, so keeping "Refs #390" rather than a fix claim is right. #798 and #806 change the same batch-formation path, and we will sort out the order between them on our side.
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svonava
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The requested L4 mixed/steady/output run is complete for head The frozen baseline was
Latency columns cover successful calls; timeouts remain separate. This is one ordered, closed-loop pair, and synchronous diagnostics can affect scheduling. These are descriptive results, not statistical throughput equivalence. The over-budget long-item lanes progressed, but candidate request Successful responses passed the fixed absolute 0.002 output comparison; the maximum numeric difference was 0.001953125 with no classification-order changes. C1/C8/C32 arrival-completion throughput changed by +2.59%/+1.22%/−0.15%, descriptively. This does not establish model accuracy or overturn earlier failed numerical experiments. All results are retained; the owned app was verified stopped with zero containers/tasks, local owners exited, and leases were released. The sealed raw archive SHA-256 is The existing human requested-changes hold and #390 stay open. The next code decision is how to bound progress for fitting items without losing ordinary packing efficiency; the failure has been sent to the owning reviewer. No threshold or merge condition has been relaxed. |
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The L4 pair on 3fdc3dd matches the current rule. Items above the configured cost of 16384 progressed: long7 and long8 completed 23/23 with no timeouts, and successful p95 was about 22s. The timed-out request is medium8 lane13/0. Its item costs are 12914–13794, so each fits the configured budget. Across 1086 ordinary turns a cheaper item was packed ahead of it. Fitting items stay on cost order in this PR. That also slowed medium8 against the baseline (7/7 at p95 87.5s; candidate 1/2 with one timeout). Half of the extracts were over-budget turns, so the cheaper queue stayed deep enough to fill every ordinary batch. Short p95 moved from 0.249s to 0.520s and medium7 p95 from 3.0s to 12.4s in the same closed loop. Steady C1/C8/C32 throughput was +2.59%/+1.22%/−0.15%, and the FP16 comparison passed with max abs diff 0.001953125. This head does not resolve #390. A bound for fitting items is a separate policy from this lane. The rejected 15ms promotion packed the oldest item with the cheapest ones and applied to encode and score as well. I will keep this PR to the over-budget lane unless you want a specific fitting-item bound here. |
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Cost-sorted batching can leave an item above the configured batch-cost limit queued indefinitely while cheaper work keeps arriving. The in-process Python batcher now alternates a cost-sorted fitting batch with an arrival-ordered over-budget batch, starting with the oldest pending item's lane.
An over-budget turn packs its FIFO prefix while it fits the live cost, request and drain limits. A single item above the live cost limit still makes progress. Lane membership stays tied to the configured limit, so raising the adaptive budget can pack multiple over-budget items without mixing them into the cheaper lane. An insertion ordinal preserves FIFO order when timestamps tie, including after a flagged-item turn has reordered the queue.
The existing
runs_alonescheduler retains its ordering and batchable packing; over-budget fairness pauses while flagged work is pending. Merged PR806's opt-in progress implementation and the worker remain unchanged. The Rust sidecar change only corrects its documentation. Items within the configured budget can still wait behind cheaper work, so this is partial progress on #390.Validation: 401 distinct CPU tests pass, covering packing, dynamic limits, tied arrivals, normal greedy memberships, opt-in compatibility, idle wakeup, draining, preformed requests, extract, score, encode and LoRA paths. Eleven regression cases failed before the correction and now pass. Ruff, formatting, scoped type checking and diff checks pass. Current main is integrated through a normal merge preserving the contributor history.
L4 qualification for this head remains pending before merge: the mixed-length reproduction must measure long-request timeouts and time to first dispatch, short-request p95, steady C1/C8/C32 throughput, and output equivalence. CPU tests do not establish those properties. The earlier adaptive-only proposal failed its L4 reproduction; that evidence remains retained. There is no throughput, numerical-equivalence or issue-closure claim for this head.
Refs #390
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