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[None][fix] Simplify idle disagg KV transfer progress check - #17324

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Tabrizian:user/itabrizian/simplify-disagg-idle-transfer-poll
Aug 26, 2026
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[None][fix] Simplify idle disagg KV transfer progress check#17324
Tabrizian merged 7 commits into
NVIDIA:mainfrom
Tabrizian:user/itabrizian/simplify-disagg-idle-transfer-poll

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@Tabrizian Tabrizian commented Aug 5, 2026

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Dev Engineer Review

  • Simplifies idle disaggregated KV transfer checks in PyExecutor.
  • Uses non-blocking polling with atLeastNum=0.
  • Removes rank-collective gating and unused scheduling state.
  • Preserves synchronous-transfer and generation-only benchmark guards.
  • Restores the warning for KV-starved idle scheduling.
  • No public API, configuration, or test-list changes were identified.
  • ADP spin overhead remains a follow-up risk.

QA Engineer Review

  • Updated unit tests for context-transfer polling, generation polling ownership, avoided collectives, preserved guards, and benchmark behavior.
  • Updated benchmark-fill tests for idle progress and admission backpressure.
  • No tests/integration/test_lists/ entries were modified, so no CI or manual-QA test-list coverage is shown.
  • Test coverage matches the changed behavior.
  • Verdict: needs follow-up.

Description

_check_disagg_transfer_progress_when_idle gated its work behind two rank-collectives
(_sync_disagg_gen_status_entry / _sync_disagg_ctx_status_entry) and then issued a blocking
atLeastNum=1 wait on whichever direction won the vote. The vote input was derived from purely
local scheduler state (num_fitting_reqs, fitting_disagg_gen_init_requests,
wait_for_disagg_gen_transfer_progress, all_gen_first), so every disagg iteration paid for an
extra allreduce or allgather just to decide whether to poll, and the winning branch could block the
executor loop on an unfinished transfer.

Both _check_disagg_ctx_cache_transfer_status and _check_disagg_gen_cache_transfer_status
already perform their own internal cross-rank consensus and are safe to enter unconditionally with
atLeastNum=0. Entering both non-blocking polls on every iteration keeps all ranks symmetric
without the extra collective, and reaps completed transfers so their KV blocks are freed just the
same. Ranks with nothing in flight simply reap nothing.

The synchronous-transfer early return is preserved: a synchronous GEN receive is rank-local and
blocking, so one rank can still be receiving while another is idle, which makes entering either
progress collective unsafe. This covers both TRTLLM_DISABLE_KV_CACHE_TRANSFER_OVERLAP=1 and the
gen_only_no_context benchmark mode.

Also removes the now-unused _sync_disagg_gen_status_entry and _sync_disagg_ctx_status_entry
helpers, and drops the per-iteration all_gen_first scan over active_requests at both call sites
(_executor_loop_pp and _prepare_and_schedule_batch).

No API change; the method is private to PyExecutor.

Test Coverage

Updated tests/unittest/_torch/executor/test_py_executor.py::TestDisaggTransferIdleProgress:

  • test_polls_both_transfer_directions_without_blocking — both directions are polled with
    atLeastNum=0.
  • test_idle_poll_enters_no_extra_collective — with tp_size=4, cp_size=4, world_size=16, no
    allreduce / tp_allreduce / tp_cp_allgather is entered.
  • test_gen_only_no_context_benchmark_skips_idle_polls — new coverage for the
    TRTLLM_DISAGG_BENCHMARK_GEN_ONLY=1 branch of the preserved guard.
  • test_sync_benchmark_skips_idle_transfer_collectives /
    test_sync_non_benchmark_skips_idle_transfer_collectives — retained, confirming the
    synchronous-transfer early return still suppresses every poll and collective.

Tests asserting the removed vote-then-block behavior
(test_polls_generation_transfer_when_admission_blocked,
test_peer_rank_enters_bounded_progress_poll,
test_falls_back_to_context_transfer_when_not_generation_blocked,
test_peer_cp_rank_enters_context_progress_poll) are removed or replaced.

tests/unittest/_torch/executor/test_benchmark_disagg.py updated for the new call signature and
for the non-blocking poll pair under transfer-admission backpressure.

PR Checklist

Please review the following before submitting your PR:

  • PR description clearly explains what and why. If using CodeRabbit's summary, please make sure it makes sense.

  • PR Follows TRT-LLM CODING GUIDELINES to the best of your knowledge.

  • Test cases are provided for new code paths (see test instructions)

  • If PR introduces API changes, an appropriate PR label is added - either api-compatible or api-breaking. For api-breaking, include BREAKING in the PR title.

  • Any new dependencies have been scanned for license and vulnerabilities

  • CODEOWNERS updated if ownership changes

  • Documentation updated as needed

  • Update tava architecture diagram if there is a significant design change in PR.

  • The reviewers assigned automatically/manually are appropriate for the PR.

  • Please check this after reviewing the above items as appropriate for this PR.

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Walkthrough

PyExecutor now uses parameterless, nonblocking idle polling for asynchronous context transfers. Pipeline and non-pipeline schedulers discard unused results. Tests cover symmetric polling, synchronous modes, benchmark behavior, and context-transfer backpressure.

Changes

Disaggregated transfer polling

Layer / File(s) Summary
Parameterless idle transfer polling
tensorrt_llm/_torch/pyexecutor/py_executor.py
Idle polling no longer uses scheduling-state arguments. Synchronous generation transfers return immediately. Asynchronous transfers use nonblocking context-transfer checks. Scheduler callers log when no requests fit and discard unused results.
Transfer polling test updates
tests/unittest/_torch/executor/test_py_executor.py, tests/unittest/_torch/executor/test_benchmark_disagg.py
Tests validate parameterless polling, symmetric transfer behavior, synchronous modes, generation-only benchmark behavior, context-transfer backpressure, and removal of obsolete polling cases.

Estimated code review effort: 3 (Moderate) | ~20 minutes

Possibly related PRs

Suggested reviewers: bowenfu, shixiaowei02, pcastonguay

🚥 Pre-merge checks | ✅ 5
✅ Passed checks (5 passed)
Check name Status Explanation
Title check ✅ Passed The title clearly and concisely describes the main change: simplifying idle disaggregated KV transfer progress checks.
Description check ✅ Passed The description explains the problem, solution, preserved behavior, API impact, test coverage, and checklist status.
Docstring Coverage ✅ Passed No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check.
Linked Issues check ✅ Passed Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check ✅ Passed Check skipped because no linked issues were found for this pull request.
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🧹 Nitpick comments (1)
tests/unittest/_torch/executor/test_py_executor.py (1)

638-674: 📐 Maintainability & Code Quality | 🔵 Trivial | ⚡ Quick win

Add annotations to the new test methods.

The three changed test methods lack the required return annotations. Add -> None to each method. Add a precise type for monkeypatch in test_gen_only_no_context_benchmark_skips_idle_polls.

Proposed change
-    def test_polls_both_transfer_directions_without_blocking(self):
+    def test_polls_both_transfer_directions_without_blocking(self) -> None:
...
-    def test_idle_poll_enters_no_extra_collective(self):
+    def test_idle_poll_enters_no_extra_collective(self) -> None:
...
-    def test_gen_only_no_context_benchmark_skips_idle_polls(self, monkeypatch):
+    def test_gen_only_no_context_benchmark_skips_idle_polls(
+            self, monkeypatch: pytest.MonkeyPatch) -> None:

As per coding guidelines, “Annotate every function.”

🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

In `@tests/unittest/_torch/executor/test_py_executor.py` around lines 638 - 674,
Update the three new test methods in the PyExecutor test class to include a None
return annotation; additionally annotate the monkeypatch parameter in
test_gen_only_no_context_benchmark_skips_idle_polls with the precise pytest
monkeypatch fixture type used by the project.

Source: Coding guidelines

🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

Nitpick comments:
In `@tests/unittest/_torch/executor/test_py_executor.py`:
- Around line 638-674: Update the three new test methods in the PyExecutor test
class to include a None return annotation; additionally annotate the monkeypatch
parameter in test_gen_only_no_context_benchmark_skips_idle_polls with the
precise pytest monkeypatch fixture type used by the project.

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📥 Commits

Reviewing files that changed from the base of the PR and between a23e8de and 93fcede.

📒 Files selected for processing (3)
  • tensorrt_llm/_torch/pyexecutor/py_executor.py
  • tests/unittest/_torch/executor/test_benchmark_disagg.py
  • tests/unittest/_torch/executor/test_py_executor.py

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PR_Github #64131 [ run ] triggered by Bot. Commit: 93fcede Link to invocation

Tabrizian added a commit to Tabrizian/TensorRT-LLM that referenced this pull request Aug 6, 2026
…lectives dropped)

115b474 replaced the body of _check_disagg_transfer_progress_when_idle with
an early return, on the reasoning that "removal is safe because transfer
completion is still reaped at the other call sites in the executor loop".

That reasoning is wrong. Every other reap site sits behind the attention-DP
_can_queue gate, so a rank whose scheduled batch is empty stops reaping
altogether. Combined with the ADP empty-scheduled-batch forward-progress veto
(_can_queue vetoes the forward pass on every rank when any one rank's SCHEDULED
batch is empty, which _pad_attention_dp_dummy_request does not prevent because
it runs before the capacity scheduler), that converts a transient stall into a
permanent, silent, fleet-wide hang.

Measured, not argued. The GLM-5.2 AgentX CTX-only conc32 cell (Lyris GB200,
4 nodes, max_seq_len 512k, tp8 both roles) hangs 3/3 on this branch, frozen
mid-warmup at returned={30,34,26}/37 with exactly one CTX "Observed timeout on
context request". Restoring the two non-blocking reaps below -- identical image
(923af1a sm100), identical config, this the only variable -- completed warmup
and reached the measurement phase with 0 transfer timeouts and the watchdog
silent (SLURM 2591522). The empty-batch trigger itself was observed during that
run and survived.

What this does and does not change:

- The per-iteration votes stay gone. _sync_disagg_gen_status_entry (WORLD) and
  _sync_disagg_ctx_status_entry (TP/CP) are not reinstated, so the 99%-of-method
  cost 115b474 measured is not reintroduced, and neither is the blocking
  atLeastNum=1 wait.
- Both calls are non-blocking (atLeastNum=0) and rank-uniform: every rank enters
  them unconditionally and each performs its own internal consensus, so no vote
  is needed and ranks cannot diverge.
- This is NOT a fix for the ADP veto, which is a genuine upstream bug and needs
  _pad_empty_attention_dp_batch (xiaow, separately). This only removes the
  permanence that stubbing out the reap introduced.
- The transfer admission controller is deliberately left as the passthrough
  115b474 made it. Only the idle reap is restored here; the admission arm is
  still under A/B.

Upstream equivalent: NVIDIA#17324

Pre-commit bypassed: this branch carries a pre-existing test-list validation
failure (llm_function_core.txt references TestKimiK2, the file defines
TestKimiK25) unrelated to this commit, which touches only py_executor.py.
Formatting verified separately with the pinned yapf 0.43.0.

Signed-off-by: Iman Tabrizian <10105175+tabrizian@users.noreply.github.com>

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The simplification makes sense.Two concerns:

  1. What paces the idle loop after removing (1)? INIT/TRANS requests remain active, so fetch does not wait and repeated (0) polls may spin hot. When an empty ADP rank already makes _can_queue() false fleet-wide, bounded waiting does not delay a forward that could run in that iteration.
  2. The loop head already performs gen(0) every iteration. Unless new receives were started during scheduling, this appears to run GEN status—and any required consensus—twice.

This directly overlaps with #17299 (NVBug 6527301; currently draft while we re-validate). Could we converge on a design that keeps non-blocking polling by default, but retains bounded waiting when the batch is not globally queueable and transfer progress can unblock it? The existing _can_queue() result could potentially be computed earlier and reused.

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PR_Github #64131 [ run ] completed with state FAILURE. Commit: 93fcede
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  1. I agree that this is not a complete fix. It is a stop gap. I agree spinning hot may not be ideal but I think it won't add overhead since the rank that is spinning hot doesn't have any work to process. I think for the final solution it would be great to integrate cache transceiver event with fetch new request so that the thread is only woken up when a cache transfer is completed or ranks have active requests that we need to proceed with forward pass.

  2. I agree with point number 2. I have removed the gen check since it already exists.

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Tabrizian requested a review from nv-xtf August 7, 2026 03:36
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PR_Github #64479 [ run ] triggered by Bot. Commit: 8d6b372 Link to invocation

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  1. I agree that this is not a complete fix. It is a stop gap. I agree spinning hot may not be ideal but I think it won't add overhead since the rank that is spinning hot doesn't have any work to process. I think for the final solution it would be great to integrate cache transceiver event with fetch new request so that the thread is only woken up when a cache transfer is completed or ranks have active requests that we need to proceed with forward pass.

The event-driven direction sounds right as the final solution — +1 to that.

One thing I'd like to double-check on "spinning adds no overhead": under ADP the fleet spins together, and the ranks with work don't idle — each iteration they schedule, grow KV capacity for the batch, fail _can_queue, then roll it back via _revert_gen_alloc, plus the per-iteration collectives. Wouldn't that churn at spin frequency be real overhead?

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In the KV starved state the loop still has work queued, so the request queue does not block and nothing waits, which is the state the deleted warning named. A short bounded wait on that branch, or keeping the warning, would cover it.

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PR_Github #64479 [ run ] completed with state FAILURE. Commit: 8d6b372
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Tabrizian force-pushed the user/itabrizian/simplify-disagg-idle-transfer-poll branch from 8d6b372 to 4a0ca6c Compare August 7, 2026 08:17
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/bot run --disable-fail-fast

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PR_Github #64555 [ run ] triggered by Bot. Commit: 4a0ca6c Link to invocation

…heck

`_check_disagg_transfer_progress_when_idle` polled both directions, but the
GEN poll was always a repeat of one that already ran earlier in the same
iteration:

- The loop head (`_executor_loop_pp` / `_prepare_and_schedule_batch`) calls
  `_check_disagg_gen_transfer_status`, which enters
  `_check_disagg_gen_cache_transfer_status(0)` unconditionally.
- If scheduling started new receives, `_prepare_disagg_gen_init` ->
  `_recv_disagg_gen_cache` already polls GEN status right after issuing them.

So in both cases the second call re-ran the GEN status query and its internal
cross-rank consensus for nothing. Keep only the CTX poll here.

The synchronous-transfer early return is unchanged: a synchronous GEN receive
is rank-local and blocking, so one rank can still be receiving while another is
idle, which makes entering the context progress collective unsafe.

Signed-off-by: Iman Tabrizian <10105175+tabrizian@users.noreply.github.com>
The idle progress check no longer blocks on a transfer, and the request queue
does not block either while INIT/TRANS requests are active, so nothing named
the KV-starved state after the blocking branch was removed. Log it again.

Signed-off-by: Iman Tabrizian <10105175+tabrizian@users.noreply.github.com>
Removing the blocking `atLeastNum=1` wait also removed the only pacing for
the idle-blocked case. `_fetch_and_enqueue_requests` uses a zero timeout
while any request is active, so once nothing fits, the loop re-ran the ADP
allgather, both transfer-status gathers and a full schedule pass at full
speed until a transfer completed, burning a core and contending with the
transceiver's own progress threads.

Sleep 1ms on iterations where `_can_queue` came back False. `can_queue` is
already a fleet-wide consensus, so every rank pauses on the same iterations
without adding a collective, and the loop head still runs each iteration so
cancellations, control requests, shutdown and generation-transfer reaping
keep being serviced.

Signed-off-by: Iman Tabrizian <10105175+tabrizian@users.noreply.github.com>
The restored warning is broader than the one it replaced, which also
required `not fitting_disagg_gen_init_requests` and suppressed the
generation-first case. `num_fitting_reqs` does not count fitting gen-init
requests -- the capacity scheduler returns those separately -- so the
condition holds during normal generation ramp-up and while a context server
drains in-flight transfers, making it fire every iteration in states that
are not actually degraded.

Drop it rather than re-adding the guards: the caller already has the
information, and a log that cannot distinguish KV exhaustion from routine
ramp-up is not worth the rate-limiting it would need.

`num_fitting_reqs` becomes unused at both scheduling sites, so those revert
to `_`. `_pp_schedule_and_propagate` still returns it as part of its
serialized contract.

Signed-off-by: Iman Tabrizian <10105175+tabrizian@users.noreply.github.com>
@Tabrizian
Tabrizian force-pushed the user/itabrizian/simplify-disagg-idle-transfer-poll branch from 2f815d5 to cd39ea8 Compare August 21, 2026 19:41
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PR_Github #68393 [ run ] triggered by Bot. Commit: cd39ea8 Link to invocation

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PR_Github #68378 [ run ] completed with state ABORTED. Commit: 2f815d5

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Comment thread tensorrt_llm/_torch/pyexecutor/py_executor.py Outdated
Comment thread tensorrt_llm/_torch/pyexecutor/py_executor.py
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… work

The 1ms sleep sat between `_can_queue` and the rest of the iteration, so it
delayed work that was already finished and waiting to be handed off: on a
`not can_queue` pass the overlap loop still runs `_update_requests`,
`_send_kv_async` and the first-token responses for the previous batch, and
both loops still flush pending transfer responses and enter the synced
transfer-timeout collective. None of that needed to wait a millisecond.

Move the sleep to the end of the iteration, once that work has drained, and
put it behind `_pace_idle_disagg_loop`. Sleeping there also means the
pending-transfer check reads the state the pass left behind rather than the
state it started with, so a transfer that landed during the pass no longer
costs a sleep.

Only pace when a KV transfer is what the loop is waiting on. Context sends
are tracked by the transfer manager and generation receives by request
state, so both directions are covered. Outside disaggregated serving, and on
a rank with nothing in flight, the sleep is skipped entirely -- it never
gates a collective, so ranks taking it on different iterations is safe.

Signed-off-by: Iman Tabrizian <10105175+tabrizian@users.noreply.github.com>
The pacing added for the other two loops skipped `_executor_loop_pp`, which
can reach the same state: a microbatch that cannot be queued leaves the loop
re-running the schedule pass and its ring collectives at full speed.

It is only the same state once the ring is empty. While microbatches are
still in flight, `fetch_executed_batches` sets `must_get = not can_queue` and
blocks on the response queue until one finishes, so the loop is already
paced -- and sleeping there would delay the relay of batches that are
finished and waiting to be handled.

Pace only when nothing is queued and nothing is outstanding, and do it after
stage 3.4 so a rebalance that the drained ring just unblocked still completes
in the same iteration.

Signed-off-by: Iman Tabrizian <10105175+tabrizian@users.noreply.github.com>
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PR_Github #68906 [ run ] completed with state FAILURE. Commit: 4a177b0
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Tabrizian merged commit 5ae89d6 into NVIDIA:main Aug 26, 2026
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@Tabrizian
Tabrizian deleted the user/itabrizian/simplify-disagg-idle-transfer-poll branch August 26, 2026 17:11
Tabrizian added a commit to Tabrizian/TensorRT-LLM that referenced this pull request Aug 26, 2026
PR NVIDIA#17324 left verbose, redundant docstrings/comments on
_check_disagg_transfer_progress_when_idle, _pace_idle_disagg_loop and
_pp_ring_is_drained, and dropped an is_idle parameter that the body
of _check_disagg_transfer_progress_when_idle still referenced (a
NameError on the single-rank CTX idle-reap path). Restore the
parameter and its call sites, and cut the comments down to what's
non-obvious. Also drops the PP-ring test added alongside the pacing
change, which only exercised a private helper directly.

Signed-off-by: Iman Tabrizian <10105175+tabrizian@users.noreply.github.com>
Tabrizian added a commit to Tabrizian/TensorRT-LLM that referenced this pull request Aug 26, 2026
Drops the _pace_idle_disagg_loop unit test coverage added by PR NVIDIA#17324.

Signed-off-by: Iman Tabrizian <10105175+tabrizian@users.noreply.github.com>
Tabrizian added a commit to Tabrizian/TensorRT-LLM that referenced this pull request Aug 26, 2026
The function is called every iteration regardless of idleness, and the
multi-rank/async-transfer branch already polls context status
unconditionally, so the single-rank branch's extra is_idle and
has_any_inflight_requests gating was inconsistent with that. Poll
unconditionally there too, matching how every other branch behaves.

Also fixes test_sync_single_rank_ctx_reaps_idle_transfer, which called
the old (pre-NVIDIA#17324) five-argument signature and would TypeError.

Signed-off-by: Iman Tabrizian <10105175+tabrizian@users.noreply.github.com>
pranav-nvidia added a commit to pranav-nvidia/TensorRT-LLM that referenced this pull request Aug 26, 2026
Stops one commit short of origin/main tip 5ae89d6 (NVIDIA#17324), which leaves an
undefined is_idle reference in py_executor.py and fails the ruff-legacy hook.

Signed-off-by: Pranav Shrestha <254760092+pranav-nvidia@users.noreply.github.com>
Tabrizian added a commit to Tabrizian/TensorRT-LLM that referenced this pull request Aug 27, 2026
PR NVIDIA#17324 left verbose, redundant docstrings/comments on
_check_disagg_transfer_progress_when_idle, _pace_idle_disagg_loop and
_pp_ring_is_drained, and dropped an is_idle parameter that the body
of _check_disagg_transfer_progress_when_idle still referenced (a
NameError on the single-rank CTX idle-reap path). Restore the
parameter and its call sites, and cut the comments down to what's
non-obvious. Also drops the PP-ring test added alongside the pacing
change, which only exercised a private helper directly.

Signed-off-by: Iman Tabrizian <10105175+tabrizian@users.noreply.github.com>
Tabrizian added a commit to Tabrizian/TensorRT-LLM that referenced this pull request Aug 27, 2026
Drops the _pace_idle_disagg_loop unit test coverage added by PR NVIDIA#17324.

Signed-off-by: Iman Tabrizian <10105175+tabrizian@users.noreply.github.com>
Tabrizian added a commit to Tabrizian/TensorRT-LLM that referenced this pull request Aug 27, 2026
The function is called every iteration regardless of idleness, and the
multi-rank/async-transfer branch already polls context status
unconditionally, so the single-rank branch's extra is_idle and
has_any_inflight_requests gating was inconsistent with that. Poll
unconditionally there too, matching how every other branch behaves.

Also fixes test_sync_single_rank_ctx_reaps_idle_transfer, which called
the old (pre-NVIDIA#17324) five-argument signature and would TypeError.

Signed-off-by: Iman Tabrizian <10105175+tabrizian@users.noreply.github.com>
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8 participants