fix(memory): settle prepared releases on CUDA device loss by justinchuby · Pull Request #1349 · justinchuby/onnx-genai

justinchuby · 2026-08-18T23:46:48Z

Corrective PR for the confirmed high defect in #1341. Targets justinchuby-1186-memory-deferred-release-phase-4 at 4d2b2cc5. Part of #1186.

Do not merge this or any memory PR automatically.

The defect

CudaDeferredReleaseQueue has three device-loss retention sites — already-lost enqueue/poll, the concurrent-loss carry path, and retain_all_pending. All three moved the whole unexecuted action into RetainedOwnership.keep_alive.

For a PreparedReleaseAction that froze a live PreparedAllocationRelease with request: Some(..). It was never executed, never quarantined, and never dropped, so:

the binding never recorded the allocation as retained — no quarantined entry at all;
queued_releases and active_operations never settled;
confirm_context_terminated failed on ContextNotQuiescent, and remove stayed impossible;
a permanent Arc cycle formed: queue.retained → prepared request → MemoryBinding → MechanismEntry → ProviderContextEntry → CudaProviderContextPin → queue.

The queue kept itself, its CUDA context, and its streams alive forever after any device loss with work in flight.

The fix

DeferredReleaseAction gains a consuming settle_device_lost hook.

The default retains the whole action, unchanged. That stays correct for actions whose ownership is purely physical and that owe no mechanism anything — WeightPageRelease, ReservationTeardownAction, and the synthetic test actions.
PreparedReleaseAction overrides it: consumes its request through the existing device-loss settlement path (no allocator call, no refund, no device touch), then hands back only the pinned Arc<dyn DeviceAllocator> — the same residual the normal quarantine path retains, and the one piece that does not pin the provider context. The observer still sees the real terminal outcome; it refunds only the reported unmapped bytes, which are zero, and counts no free.

All three sites now go through one settle_lost_entry helper, so they cannot drift apart again.

PreparedAllocationRelease::quarantine_device_lost (memory-api) exposes the settlement execute already performs behind a device-lost release gate. It is needed because the queue can learn the context is unusable before the mechanism lifecycle is invalidated, and execute would then still be permitted to call the allocator. It is deliberately distinct from quarantine(QuarantineReason::DeviceLost), which records the generic Quarantined state rather than the DeviceLost terminal state that confirmed context termination discharges.

After settlement

binding.quarantined holds exactly one record: the exact AllocationIdentity, state: DeviceLost, reason: DeviceLost, exact bytes and retained bytes.
mechanism queued_releases == 0 and active_operations == 0.
allocator physical release calls == 0.
invalidate_device → confirm_context_terminated → remove → remove_provider_context all succeed, per the documented quarantine discharge.
Arc::strong_count(&queue) == 1 after that teardown — the cycle is gone.
the residual allocator pin is still held, so physical ownership is not reusable.

Tests

Three new production-path tests in crates/onnx-runtime-ep-cuda/tests/deferred_release_queue.rs. They use real enqueue_prepared with a real MemoryBinding over a host-backed allocator and a provider-context resource shaped exactly like CudaProviderContextPin, not CountingRelease or a toy action:

test	site covered
`device_loss_settles_a_pending_prepared_release_and_frees_the_context`	`retain_all_pending` (the reported pending path)
`device_loss_settles_a_prepared_release_a_poller_was_holding`	concurrent-loss carry, deterministic via a blocking fence
`concurrent_loss_settles_every_prepared_release_whichever_path_takes_it`	32 real requests, 2 pollers racing loss; covers the already-lost-in-loop site

The third site cannot be forced deterministically without adding a test hook to production code: poll takes the execution gate before its per-entry device-loss check, and mark_device_lost needs that same gate, so any in-loop trigger would deadlock. It is covered by the racing test, which asserts the same invariants for every request regardless of which site settled it, and all three sites share one helper.

Controlled revert: restoring the pre-fix behaviour (override replaced by the default) makes all three new tests fail on the binding records exactly one retained allocation: left 0, right 1. With the fix, all 20 tests in the file pass.

Validation

check	result
`cargo test -p onnx-runtime-ep-cuda`	384 lib + all integration, 0 failed
`cargo test --test deferred_release_queue`	20 passed (17 before)
`cargo test -p onnx-runtime-memory-api -p onnx-runtime-memory-governor`	123 passed, 0 failed
flake stress	40× queue suite, 15× memory-api, 0 failures; release mode green
`cargo fmt` (scoped)	clean
clippy, changed files	0 lints in `deferred_release.rs` / `deferred_release_queue.rs`
rustdoc `-D warnings`, changed files	0 new issues

Failures compared against the exact #1341 base 4d2b2cc5:

cargo clippy -p onnx-runtime-ep-cuda --features cuda -- -D warnings fails at base and at head with the same two errors in the untouched onnx-runtime-ep-cpu (manual RangeInclusive::contains, collapsible_if).
RUSTDOCFLAGS=-D warnings cargo doc fails at base and at head on untouched items (shareability.rs KvLayout, weight_paging.rs, cudnn, and the deferred_release.rs line-29 module header this PR does not touch).
verify_cuda_test_honesty.py fails identically at base and head for the same three portable files; only deferred_release_queue's count changes 17 → 20.

No new failure class is introduced.

Scope

deferred_release.rs (CUDA), deferred_release_queue.rs (tests), and one additive method in memory-api deferred.rs. No rearchitecture, no Phase-5 work, no change to the CUDA partial-release state machine or its accounting, no unrelated cleanup. cargo fmt --all also wanted to reformat onnx-genai-server/src/routes/completions.rs; that pre-existing deviation was reverted out of this diff.

Head 9ac2b41b, 3 files changed, +502 / −68.

The CUDA deferred release queue's three device-loss retention sites moved the whole unexecuted action into `RetainedOwnership.keep_alive`. For a `PreparedReleaseAction` that froze a live `PreparedAllocationRelease`: its request was never executed, never quarantined, and never dropped, so the binding never recorded the allocation as retained, `queued_releases` and `active_operations` never settled, `confirm_context_terminated` and `remove` stayed impossible, and a permanent cycle formed — queue -> retained record -> request -> binding -> mechanism -> provider context -> context pin -> queue. `DeferredReleaseAction` gains a consuming `settle_device_lost` hook. The default keeps retaining the whole action, which is right for an action whose ownership is purely physical (a weight page's allocator/allowance, a reservation ticket). `PreparedReleaseAction` overrides it: it consumes its request through the existing device-loss settlement path — no allocator call, no refund — and hands back only the pinned allocator, the same residual the normal quarantine path retains and the one piece that does not pin the provider context. All three sites (already-lost enqueue/poll, concurrent-loss carry, retain_all_pending) now share one helper. `PreparedAllocationRelease::quarantine_device_lost` exposes the settlement `execute` already performs behind a device-lost release gate. It is needed because the queue can learn the context is unusable before the mechanism lifecycle is invalidated, and `execute` would then still be permitted to call the allocator. The new portable tests use the production path — real `enqueue_prepared` with a host-backed `MemoryBinding` and a provider-context pin shaped like the CUDA one — and assert zero allocator releases, device-lost quarantine against the exact allocation identity, zero queued releases and active operations, and that the queue's strong count returns to one after the documented context teardown. Refs #1341 Part of #1186 Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com>

justinchuby · 2026-08-19T00:05:05Z

Final independent review: approved; #1341 device-loss rejection resolved. Verified all three loss sites consume through one settlement hook; prepared releases record exact DeviceLost quarantine without allocator/device calls; queued/active pins settle; observer refunds zero; residual allocator ownership breaks the queue→binding→context cycle while retaining physical safety; races/outstanding/fence retention remain balanced; and production enqueue_prepared tests are non-vacuous. Phase 4 remains open/unmerged for human review. Real GPU/Xid/TDR execution remains a residual gate.

codecov · 2026-08-19T08:55:05Z

Codecov Report

❌ Patch coverage is 0% with 9 lines in your changes missing coverage. Please review.
✅ Project coverage is 79.52%. Comparing base (4d2b2cc) to head (9ac2b41).

Files with missing lines	Patch %	Lines
crates/onnx-runtime-memory-api/src/deferred.rs	0.00%	9 Missing ⚠️

Additional details and impacted files

@@                                 Coverage Diff                                  @@
##           justinchuby-1186-memory-deferred-release-phase-4    #1349      +/-   ##
====================================================================================
- Coverage                                             79.53%   79.52%   -0.01%     
====================================================================================
  Files                                                   365      365              
  Lines                                                162318   162327       +9     
  Branches                                             162318   162327       +9     
====================================================================================
- Hits                                                 129100   129096       -4     
- Misses                                                28501    28513      +12     
- Partials                                               4717     4718       +1

Flag	Coverage Δ
mlas	`85.05% <ø> (-0.14%)`	⬇️
offline	`79.42% <0.00%> (-0.01%)`	⬇️

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Files with missing lines	Coverage Δ
crates/onnx-runtime-memory-api/src/deferred.rs	`70.40% <0.00%> (-1.87%)`	⬇️

... and 1 file with indirect coverage changes

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github-actions · 2026-08-19T08:55:10Z

🔴 Benchmark Regression Detected

Comparison of criterion micro-benchmarks: PR head vs merge-base, measured on the same runner in the same job (base first → PR second).

ℹ️ Absolute times are informational only — they vary with runner load. The % change column is the reliable signal because both sides ran under identical conditions.

Status	Scenario	Base	PR	Change
🔴	`qwen3_sampling_processors/top_k_partial_selection`	143.53 µs	189.61 µs	+32.1%
⚠️	`logit_processing/seven_processor_chain_per_step`	328.32 µs	424.61 µs	+29.3%
⚠️	`qwen3_sampling_processors/top_p_full_sort_after_top_k_baseline`	3.63 ms	4.68 ms	+28.8%
⚠️	`qwen3_sampling_processors/top_k_top_p_full_sort_baseline`	5.81 ms	6.83 ms	+17.6%
⚠️	`block_quantized_moe_cached_dense/mxfp4_cached_dense_expert_repeated_call/rows=1,H=256,I=256,E=4,top_k=1`	74.36 µs	86.94 µs	+16.9%
⚠️	`grammar_masking/llguidance_compute_mask/32`	77.55 µs	90.45 µs	+16.6%
⚠️	`kv_cache/alloc_dealloc_pages`	38.83 µs	45.16 µs	+16.3%
⚠️	`qwen3_sampling_processors/top_k_top_p_fast`	675.12 µs	780.17 µs	+15.6%
✅	`matmul/large_generic_f32_threads=8/32x1024x1024`	4.03 ms	4.57 ms	+13.3%
✅	`gather/large_f32_threads=1-internal/131072`	31.21 µs	35.03 µs	+12.2%
✅	`qwen3_sampling_processors/top_k_full_sort_baseline`	2.29 ms	2.53 ms	+10.6%
✅	`matmul/large_generic_bf16_threads=8/32x1024x1024`	1.55 ms	1.70 ms	+9.8%
✅	`sampling_latency/min_p_per_token`	213.23 µs	227.10 µs	+6.5%
✅	`qwen3_sampling_processors/top_p_fast_after_top_k`	559.72 µs	592.19 µs	+5.8%
✅	`matmul/large_generic_bf16_threads=1/32x1024x1024`	2.09 ms	2.18 ms	+4.4%
✅	`matmul/medium_generic_f32_threads=1/32x512x512`	2.51 ms	2.57 ms	+2.4%
✅	`matmul/medium_generic_bf16_threads=8/32x512x512`	418.70 µs	428.22 µs	+2.3%
✅	`matmul/large_generic_f16_threads=1/32x1024x1024`	82.81 µs	84.62 µs	+2.2%
✅	`matmul/large_generic_f32_threads=1/32x1024x1024`	9.69 ms	9.90 ms	+2.1%
✅	`block_quantized_moe_cached_dense/mxfp4_uncached_expert_dequant_each_call/rows=1,H=256,I=256,E=4,top_k=1`	438.70 µs	447.57 µs	+2.0%
✅	`gather/large_f16_threads=1-internal/131072`	13.96 µs	14.15 µs	+1.3%
✅	`sampling_latency/top_p_per_token`	389.79 µs	393.64 µs	+1.0%
✅	`matmul/medium_generic_f16_threads=8/32x512x512`	35.54 µs	35.86 µs	+0.9%
✅	`matmul/medium_generic_f16_threads=1/32x512x512`	33.34 µs	33.57 µs	+0.7%
✅	`sampling_latency/greedy_per_token`	3.30 µs	3.30 µs	-0.0%
✅	`tokenization/encode_tokens_per_second`	395.33 µs	394.69 µs	-0.2%
✅	`matmul/large_generic_f16_threads=8/32x1024x1024`	92.05 µs	91.77 µs	-0.3%
✅	`sampling_latency/top_k_per_token`	54.37 µs	53.92 µs	-0.8%
✅	`tokenization/decode_tokens_per_second`	6.55 ms	6.35 ms	-2.9%
✅	`gather/large_bf16_threads=1-internal/131072`	14.23 µs	13.80 µs	-3.0%
✅	`matmul/small_generic_bf16_threads=8/1x256x256`	37.01 µs	35.10 µs	-5.2%
✅	`matmul/medium_generic_bf16_threads=1/32x512x512`	583.43 µs	552.50 µs	-5.3%
✅	`matmul/small_generic_bf16_threads=1/1x256x256`	37.25 µs	34.78 µs	-6.6%
✅	`gather/medium_bf16_threads=1-internal/32768`	2.83 µs	2.58 µs	-8.7%
✅	`matmul/medium_generic_f32_threads=8/32x512x512`	1.26 ms	1.13 ms	-10.7%
✅	`matmul/small_generic_f32_threads=1/1x256x256`	45.11 µs	39.99 µs	-11.4%
✅	`gather/small_f32_threads=1-internal/4096`	803.2 ns	685.0 ns	-14.7%
✅	`matmul/small_generic_f16_threads=8/1x256x256`	39.48 µs	33.65 µs	-14.8%
🟢	`gather/small_f16_threads=1-internal/4096`	574.4 ns	488.1 ns	-15.0%
🟢	`add/small_bf16_threads=1-internal/1024`	664.8 ns	547.9 ns	-17.6%
🟢	`gather/small_bf16_threads=1-internal/4096`	594.0 ns	489.3 ns	-17.6%
🟢	`block_quantized_matmul_cached_dense/mxfp4_cached_dense_repeated_call/1x1024x1024`	75.65 µs	61.10 µs	-19.2%
🟢	`add/small_f16_threads=1-internal/1024`	573.5 ns	458.6 ns	-20.0%
🟢	`block_quantized_matmul_cached_dense/mxfp4_preexpanded_dense_oncelock_like_proxy/1x1024x1024`	79.10 µs	61.89 µs	-21.8%
🟢	`reduce_mean/large_f32_threads=1-internal/262144`	1.29 ms	998.44 µs	-22.6%
🟢	`matmul/small_generic_f16_threads=1/1x256x256`	45.65 µs	35.03 µs	-23.3%
🟢	`reduce_mean/medium_f32_threads=1-internal/65536`	327.03 µs	249.79 µs	-23.6%
🟢	`reduce_mean/small_f32_threads=1-internal/4096`	20.46 µs	15.32 µs	-25.1%
🟢	`block_quantized_matmul_cached_dense/mxfp4_uncached_dequant_each_call/1x1024x1024`	883.06 µs	627.82 µs	-28.9%
🟢	`gather/medium_f16_threads=1-internal/32768`	3.59 µs	2.52 µs	-29.8%
🟢	`add/medium_f32_threads=1-internal/262144`	37.16 µs	25.74 µs	-30.7%
🟢	`add/large_bf16_threads=1-internal/4194304`	2.49 ms	1.68 ms	-32.6%
🟢	`add/large_f16_threads=1-internal/4194304`	2.53 ms	1.69 ms	-33.5%
🟢	`gather/medium_f32_threads=1-internal/32768`	6.28 µs	4.16 µs	-33.7%
🟢	`add/large_f32_threads=1-internal/4194304`	1.04 ms	688.27 µs	-34.0%
🟢	`add/medium_f16_threads=1-internal/262144`	169.31 µs	106.68 µs	-37.0%
🟢	`add/small_f32_threads=1-internal/1024`	316.5 ns	197.9 ns	-37.5%
🟢	`add/medium_bf16_threads=1-internal/262144`	188.48 µs	109.70 µs	-41.8%
🟢	`matmul/small_generic_f32_threads=8/1x256x256`	94.98 µs	39.10 µs	-58.8%

Visual flags: ⚠️ ≥ 15% slower, 🔴 ≥ 30% slower — calibrated against measured runner noise (~27% worst-case on multi-threaded matmul)

Host info

CPU: Apple M1 (Virtual)
Cores: 3
OS: Darwin 25.5.0 arm64
Rust: rustc 1.97.1 (8bab26f4f 2026-07-14)
Load avg: { 5.08 3.95 6.76 }

What this cannot catch

Regressions in code paths not covered by these benchmarks (e.g., end-to-end decode with a real model)
Sub-threshold regressions that compound over multiple PRs
Performance changes that only manifest under GPU execution
Latency changes in the ORT integration path (these benchmarks exercise the native Rust kernels)

> **A100 safety update (head `13c37a7f`):** expected shared-prefix admission failures are now all-or-private: K/V commit is transactional, a failed V share rolls K back before enqueue, and only a successful rollback permits private-KV fallback. Fatal kernel faults remain process-fatal; the new cross-process VMM probe proves a worker fault does not affect an actively executing peer, while the current server is still in-process and does not yet consume physical shared-prefix metadata. See the [final verified conclusion](#1579 (comment)). Collapses phases 1–7 of the #1186 memory architecture rework onto current `main` as a single merge. The stack forked 270 commits ago (176 of them touching `crates/`), so rebasing it layer by layer would mean solving the same 17 conflicts fourteen times, with no reviewer ever looking at the intermediate states. Closes the stack: #1252 #1263 #1279 #1283 #1301 #1341 #1349 #1426 #1440 #1448 #1454 #1462 #1465 #1468 #1533. **A review guide is in the first comment.** It is the part worth reading — this diff is 103 files, but only three decisions in it are ones a compiler cannot check. ## What was already reviewed, and what wasn't Every phase was reviewed and approved by a session that was not its author, under the rejection-lockout rule (a rejected author never writes the next revision). | Phase | PR | Verdict | |---|---|---| | 1–5 | #1252 → #1426 | approved | | 6 | #1440, #1448, #1454 | **rejected** ×3 | | 6 | #1462 | approved | | 7 | #1465 | **rejected** | | 7 | #1468 | approved | | 7 test fixes | #1533 | approved, A100-verified | The four rejected rounds were not replaced — the later rounds are stacked **on top of** them. So the tree here is the approved state, but the history contains the rejected commits. **#1440 / #1448 / #1454 / #1465 should not be reviewed individually**; they close automatically. **Not reviewed anywhere:** the conflict resolutions themselves. That is what this PR is for. ## Verification Run here, on this merged tree: - `cargo check --workspace --all-targets` — clean - `cargo check -p onnx-genai-engine --features cuda,native-backend --all-targets` — clean. Worth calling out: the default feature set does **not** compile the `cfg(cuda)` code, which is where the riskiest edits are. Checking only the default set would have missed a real break (see the guide). - `cargo test` over 7 crates — **1105 passed, 2 failed, 88 ignored** - `cargo clippy --workspace --all-targets` - `cargo fmt` **The 2 failures and the 1 clippy error are pre-existing and proven so, not merge damage:** - `platform_capacity::{disk_capacity_is_measured_for_the_working_directory, an_explicit_byte_limit_is_honored_without_a_device_query}` — `platform_capacity.rs` is byte-identical to `main` (`git diff origin/main HEAD -- ` that file is empty). The cause is a macOS-only FFI layout bug: `fsblkcnt_t` is 4 bytes on macOS (confirmed: `sizeof(struct statvfs)=64`, `sizeof(fsblkcnt_t)=4`) while the Rust struct declares `f_blocks`/`f_bfree`/`f_bavail` as `u64`. CI is Linux, where it is 8 bytes. Left alone: it is a real bug but not this PR's. - `optimizer.rs` clippy `approx_constant` — present on both parents; the merged file is byte-identical to `main`. - Three files had `rustfmt` drift already present on `main` (`matmul_nbits.rs`, `normalization.rs`, `optimizer.rs`). Reverted rather than swept in, to keep the diff readable. **Final A100 revalidation (head `13c37a7f`):** full CUDA-memory GPU suite passed; CUDA EP default-parallel lib suite passed (**488 passed / 17 ignored**); real fp16 GQA covered three requests × two interleaved decode steps with two shared peers and one transactional private fallback, byte-identical to independent GPU and CPU references. A device-started/event-gated worker remained healthy through a peer process `CUDA_ERROR_ILLEGAL_ADDRESS`, owner exit, replacement worker, and process restart. Governor tests, targeted Miri, CI Clippy, fmt, and CUDA honesty also passed. ## Still open after this merges - `memory-plugin-provider-wiring` — the back half of Phase 6 criterion 8 (provider/context pinning), which fell in the gap between phases. **#1186 must not be closed until it lands.** This merge makes it more tractable, not less: see decision 3 in the guide. - `memory-deferred-invariant-asserts` — two surviving mutants found by #1462's reviewer, adjudicated NON-BLOCKING and not defects. - #1533's CUDA honesty guard warns on a legitimately portable anchor. Should be moved out of the CUDA test binary or allow-listed rather than left warning. --------- Signed-off-by: Justin Chu <justinchuby@users.noreply.github.com> Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com> Co-authored-by: Copilot <copilot@github.com> Copilot-Session: 46c5d75b-8146-489c-b82f-08ee29c27ce4 Copilot-Session: 39ff6824-d35f-4d3b-8f5f-043a7119a100 Copilot-Session: c80f8522-983c-47f7-8241-2155a823aabe

justinchuby · 2026-08-22T02:15:31Z

Closing: superseded by #1579, which collapsed phases 1–7 into a single merge — landed as a36964280 (squash, 126 files, +43956 −3286).

This PR was approved by a session that was not its author, and its work is in main.

Containment verified, not assumed:

$ git merge-base --is-ancestor 9ac2b41bd ebceab071   # ebceab071 = #1579 head
→ ancestor

Every one of the 15 stack heads (#1252 → #1533) is a literal ancestor of the merged head, and I separately confirmed the merged head's content reached main: of the 126 files #1579 touched, exactly one differs from main — crates/onnx-runtime-session/src/executor/tests.rs, where main carries 120 extra lines from #1703 (Expand-broadcast mask tests). That is the conflict resolution correctly preserving the other side, not content loss.

Why this didn't close itself: #1579's body says Closes the stack: #1252 #1263 …, which GitHub does not parse — the closing keyword must be immediately followed by the reference, and in any case closing keywords only ever close issues, never pull requests. So all 15 stayed open by mechanism, not by intent.

#1186 stays open: #1579 explicitly gates it on memory-plugin-provider-wiring (the back half of Phase 6 criterion 8, provider/context pinning), which has not landed.

justinchuby mentioned this pull request Aug 19, 2026

feat(memory): add process memory manager (Phase 5) #1426

Closed

This was referenced Aug 19, 2026

CUDA 机器验证计划:#1186 内存重构 Phase 1–7 全栈测试指引 #1474

Open

Merge the #1186 memory stack (phases 1-7) onto main #1579

Merged

justinchuby closed this Aug 22, 2026

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fix(memory): settle prepared releases on CUDA device loss - #1349

fix(memory): settle prepared releases on CUDA device loss#1349
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