[BugFix] Gate level-2 sleep buffer restore on the weights wake tag#45619
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[BugFix] Gate level-2 sleep buffer restore on the weights wake tag#45619terafin wants to merge 1 commit into
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…45617 vllm-project#45610 vllm-project#45398 vllm-project#45619 vllm-project#45620 vllm-project#45612) Single coherent fork-carry collapsing the wake-path patches that previously cherry-picked SEQUENTIALLY with `-X theirs` and non-deterministically clobbered each other (sync flapped success/fail, intarweb-dev stuck at 492c283, hot-path assert fail-closed on missing scale_specs / _iter_kv_cache_tensors / coordinate_cudagraph_mode_across_pp). The adjacency/overlap is real and could not be resolved by reordering: - vllm/v1/worker/gpu_model_runner.py is edited by three PRs in/around the FP8-KV-scale + nested-KV + PP-cudagraph regions: vllm-project#44778 _iter_kv_cache_tensors nested-container KV zeroing on wake vllm-project#45617 scale_specs calibrated FP8-KV scale restore on wake vllm-project#45610 coordinate_cudagraph_mode_across_pp PP-consensus (vllm-project#45094 wedge) - vllm/v1/worker/gpu_worker.py is REWRITTEN by four PRs that all touch the same sleep()/wake_up() methods (genuine overlap, not adjacency): vllm-project#45398 pluggable sleep-mode backend abstraction (_get_sleep_mode_backend, sleep -> backend.suspend, wake_up -> backend.resume) vllm-project#45619 gate level-2 buffer restore on the weights wake tag vllm-project#45620 do not crash sleep() on shared-GPU device-global free drop vllm-project#45612 cumem_tag PP-broadcast wake race: symmetric gloo wake handshake composed onto vllm-project#45398 backend.resume Resolved the gpu_model_runner.py adjacency once via ordered 3-way merge and the gpu_worker.py overlap once via the prior hand-composition, so the union tree has ALL contributions coexisting. Carried as ONE fail-closed FORK_CARRIED_COMMITS entry whose single `-X theirs` re-apply is the final word on these files, eliminating the sequential-clobber race. Scope deliberately EXCLUDES vllm/device_allocator/cumem.py: vllm-project#45612 also adds a local torch.cuda.synchronize() at cumem.py:240, but that region overlaps the independently-carried vllm-project#45552 / vllm-project#45554 cumem.py hunks. Bundling it here would let this commit`s `-X theirs` last-apply clobber those carries (the exact wake-quiesce-clobber footgun). cumem.py carries via vllm-project#45612`s own open-PR loop entry, untouched. Python-only (no csrc/kernels) -> safe for the precompiled-wheel fork. The individual upstream PRs remain open for maintainer review; only the CARRY is consolidated. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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…45617 vllm-project#45610 vllm-project#45398 vllm-project#45619 vllm-project#45620 vllm-project#45612) Single coherent fork-carry collapsing the wake-path patches that previously cherry-picked SEQUENTIALLY with `-X theirs` and non-deterministically clobbered each other (sync flapped success/fail, intarweb-dev stuck at 492c283, hot-path assert fail-closed on missing scale_specs / _iter_kv_cache_tensors / coordinate_cudagraph_mode_across_pp). The adjacency/overlap is real and could not be resolved by reordering: - vllm/v1/worker/gpu_model_runner.py is edited by three PRs in/around the FP8-KV-scale + nested-KV + PP-cudagraph regions: vllm-project#44778 _iter_kv_cache_tensors nested-container KV zeroing on wake vllm-project#45617 scale_specs calibrated FP8-KV scale restore on wake vllm-project#45610 coordinate_cudagraph_mode_across_pp PP-consensus (vllm-project#45094 wedge) - vllm/v1/worker/gpu_worker.py is REWRITTEN by four PRs that all touch the same sleep()/wake_up() methods (genuine overlap, not adjacency): vllm-project#45398 pluggable sleep-mode backend abstraction (_get_sleep_mode_backend, sleep -> backend.suspend, wake_up -> backend.resume) vllm-project#45619 gate level-2 buffer restore on the weights wake tag vllm-project#45620 do not crash sleep() on shared-GPU device-global free drop vllm-project#45612 cumem_tag PP-broadcast wake race: symmetric gloo wake handshake composed onto vllm-project#45398 backend.resume Resolved the gpu_model_runner.py adjacency once via ordered 3-way merge and the gpu_worker.py overlap once via the prior hand-composition, so the union tree has ALL contributions coexisting. Carried as ONE fail-closed FORK_CARRIED_COMMITS entry whose single `-X theirs` re-apply is the final word on these files, eliminating the sequential-clobber race. Scope deliberately EXCLUDES vllm/device_allocator/cumem.py: vllm-project#45612 also adds a local torch.cuda.synchronize() at cumem.py:240, but that region overlaps the independently-carried vllm-project#45552 / vllm-project#45554 cumem.py hunks. Bundling it here would let this commit`s `-X theirs` last-apply clobber those carries (the exact wake-quiesce-clobber footgun). cumem.py carries via vllm-project#45612`s own open-PR loop entry, untouched. Python-only (no csrc/kernels) -> safe for the precompiled-wheel fork. The individual upstream PRs remain open for maintainer review; only the CARRY is consolidated. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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…45617 vllm-project#45610 vllm-project#45398 vllm-project#45619 vllm-project#45620 vllm-project#45612) Single coherent fork-carry collapsing the wake-path patches that previously cherry-picked SEQUENTIALLY with `-X theirs` and non-deterministically clobbered each other (sync flapped success/fail, intarweb-dev stuck at 492c283, hot-path assert fail-closed on missing scale_specs / _iter_kv_cache_tensors / coordinate_cudagraph_mode_across_pp). The adjacency/overlap is real and could not be resolved by reordering: - vllm/v1/worker/gpu_model_runner.py is edited by three PRs in/around the FP8-KV-scale + nested-KV + PP-cudagraph regions: vllm-project#44778 _iter_kv_cache_tensors nested-container KV zeroing on wake vllm-project#45617 scale_specs calibrated FP8-KV scale restore on wake vllm-project#45610 coordinate_cudagraph_mode_across_pp PP-consensus (vllm-project#45094 wedge) - vllm/v1/worker/gpu_worker.py is REWRITTEN by four PRs that all touch the same sleep()/wake_up() methods (genuine overlap, not adjacency): vllm-project#45398 pluggable sleep-mode backend abstraction (_get_sleep_mode_backend, sleep -> backend.suspend, wake_up -> backend.resume) vllm-project#45619 gate level-2 buffer restore on the weights wake tag vllm-project#45620 do not crash sleep() on shared-GPU device-global free drop vllm-project#45612 cumem_tag PP-broadcast wake race: symmetric gloo wake handshake composed onto vllm-project#45398 backend.resume Resolved the gpu_model_runner.py adjacency once via ordered 3-way merge and the gpu_worker.py overlap once via the prior hand-composition, so the union tree has ALL contributions coexisting. Carried as ONE fail-closed FORK_CARRIED_COMMITS entry whose single `-X theirs` re-apply is the final word on these files, eliminating the sequential-clobber race. Scope deliberately EXCLUDES vllm/device_allocator/cumem.py: vllm-project#45612 also adds a local torch.cuda.synchronize() at cumem.py:240, but that region overlaps the independently-carried vllm-project#45552 / vllm-project#45554 cumem.py hunks. Bundling it here would let this commit`s `-X theirs` last-apply clobber those carries (the exact wake-quiesce-clobber footgun). cumem.py carries via vllm-project#45612`s own open-PR loop entry, untouched. Python-only (no csrc/kernels) -> safe for the precompiled-wheel fork. The individual upstream PRs remain open for maintainer review; only the CARRY is consolidated. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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…m-project#45619 vllm-project#45620 vllm-project#45612) Coherent fork-carry for the gpu_worker.py sleep/wake methods, which are REWRITTEN by four PRs that all touch the same sleep()/wake_up() functions (genuine overlap, not adjacency) and therefore cannot coexist via the sync open-PR loop sequential -X-theirs cherry-picks: vllm-project#45398 pluggable sleep-mode backend abstraction (_get_sleep_mode_backend, sleep routed through backend.suspend, wake_up through backend.resume; adds vllm/device_allocator/sleep_mode_backend.py + executor/abstract.py + config/model.py fields) vllm-project#45619 gate level-2 sleep buffer restore on the weights wake tag vllm-project#45620 do not crash sleep() on shared-GPU device-global free drop vllm-project#45612 cumem_tag PP-broadcast wake race: symmetric gloo wake handshake composed onto vllm-project#45398 backend.resume The gpu_worker.py overlap is resolved ONCE here (hand-composition) so the union has all four contributions coexisting. Applied as the FINAL fail-closed FORK_CARRIED_COMMITS entry; its -X-theirs re-apply is the last word on gpu_worker.py + the vllm-project#45398 support files, repairing whatever the sequential loop left. The three gpu_model_runner.py wake-path markers (vllm-project#44778 _iter_kv_cache_tensors, vllm-project#45617 scale_specs, vllm-project#45610 coordinate_cudagraph_mode_across_pp) are NOT in this commit: those three PRs apply STABLY via the open-PR loop, and including a byte-identical copy here made git 2.54 cherry-pick non-deterministically drop the hunk (redundant-patch-id collision). Leaving them to the loop and asserting via CARRY_HOTPATH_ASSERTS is the deterministic split. cumem.py deliberately excluded: vllm-project#45612 local wake-sync overlaps the independently-carried vllm-project#45552/vllm-project#45554 cumem.py hunks; bundling it would let this commit clobber those carries. vllm-project#45552 already provides the wake-exit synchronize; the load-bearing gloo handshake lives in gpu_worker.py here. Python-only (no csrc/kernels), safe for the precompiled-wheel fork. Individual upstream PRs stay open for review; only the CARRY consolidates. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Single FULL-UNION fork-carry composing ALL wake-path changes onto one base (upstream/main), so the sync open-PR loop never has to apply mutually-adjacent wake-path hunks sequentially (honest-fact vllm-project#54 adjacency clobber). The three gpu_model_runner.py PRs touch the SAME hunks; sequential -X-theirs drops them. This commit is the SOLE provider; the three PRs are SKIPPED from the loop. gpu_model_runner.py wake-path markers (all present, verified): vllm-project#44778 _iter_kv_cache_tensors nested-container KV zeroing on wake vllm-project#45617 scale_specs calibrated FP8-KV scale restore on wake vllm-project#45610 coordinate_cudagraph_mode_across_pp PP-cudagraph MIN consensus (fix vllm-project#45094 split-brain wedge) + vllm/v1/worker/pp_utils.py helper gpu_worker.py composition (carried forward from prior union): vllm-project#45398 pluggable sleep-mode backend abstraction (_get_sleep_mode_backend, sleep->backend.suspend, wake_up->backend.resume; adds vllm/device_allocator/sleep_mode_backend.py + executor/abstract.py + config/model.py fields) vllm-project#45619 gate level-2 sleep buffer restore on the weights wake tag vllm-project#45620 do not crash sleep() on shared-GPU device-global free drop vllm-project#45612 cumem_tag PP-broadcast wake race: symmetric gloo wake handshake Tests included: test_sleep_mode_backend, test_pp_cudagraph_consensus, test_fp8_kv_scale_wake, test_gpu_model_runner_fp8_wake_up, test_gpu_worker_wake_barrier. cumem.py deliberately excluded: vllm-project#45612 local wake-sync overlaps the independently-carried vllm-project#45552/vllm-project#45554 cumem.py hunks. vllm-project#45552 provides the wake-exit synchronize; the load-bearing gloo handshake lives in gpu_worker.py. Python-only (no csrc/kernels), safe for the precompiled-wheel fork. Individual upstream PRs stay open for review; only the CARRY consolidates. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Single FULL-UNION fork-carry composing ALL wake-path changes onto one base (upstream/main), so the sync open-PR loop never has to apply mutually-adjacent wake-path hunks sequentially (honest-fact vllm-project#54 adjacency clobber). The three gpu_model_runner.py PRs touch the SAME hunks; sequential -X-theirs drops them. This commit is the SOLE provider; the three PRs are SKIPPED from the loop. gpu_model_runner.py wake-path markers (all present, verified): vllm-project#44778 _iter_kv_cache_tensors nested-container KV zeroing on wake vllm-project#45617 scale_specs calibrated FP8-KV scale restore on wake vllm-project#45610 coordinate_cudagraph_mode_across_pp PP-cudagraph MIN consensus (fix vllm-project#45094 split-brain wedge) + vllm/v1/worker/pp_utils.py helper gpu_worker.py composition (carried forward from prior union): vllm-project#45398 pluggable sleep-mode backend abstraction (_get_sleep_mode_backend, sleep->backend.suspend, wake_up->backend.resume; adds vllm/device_allocator/sleep_mode_backend.py + executor/abstract.py + config/model.py fields) vllm-project#45619 gate level-2 sleep buffer restore on the weights wake tag vllm-project#45620 do not crash sleep() on shared-GPU device-global free drop vllm-project#45612 cumem_tag PP-broadcast wake race: symmetric gloo wake handshake Tests included: test_sleep_mode_backend, test_pp_cudagraph_consensus, test_fp8_kv_scale_wake, test_gpu_model_runner_fp8_wake_up, test_gpu_worker_wake_barrier. cumem.py deliberately excluded: vllm-project#45612 local wake-sync overlaps the independently-carried vllm-project#45552/vllm-project#45554 cumem.py hunks. vllm-project#45552 provides the wake-exit synchronize; the load-bearing gloo handshake lives in gpu_worker.py. Python-only (no csrc/kernels), safe for the precompiled-wheel fork. Individual upstream PRs stay open for review; only the CARRY consolidates. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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vllm-project#45610] Single FULL-UNION fork-carry composing ALL wake-path changes onto one base (upstream/main), so the sync open-PR loop never has to apply mutually-adjacent wake-path hunks sequentially (honest-fact vllm-project#54 adjacency clobber). The three gpu_model_runner.py PRs touch the SAME hunks; sequential -X-theirs drops them. This commit is the SOLE provider; the three PRs are SKIPPED from the loop. gpu_model_runner.py wake-path markers (all present, verified): vllm-project#44778 _iter_kv_cache_tensors nested-container KV zeroing on wake vllm-project#45617 scale_specs calibrated FP8-KV scale restore on wake vllm-project#45610 coordinate_cudagraph_mode_across_pp PP-cudagraph MIN consensus (fix vllm-project#45094 split-brain wedge) + vllm/v1/worker/pp_utils.py helper *** vllm-project#45610 STARTUP-DEADLOCK FIX folded in (PR head 4d20740): the PP consensus all-reduce is now gated on `coordinate_pp_cudagraph_mode` (`if coordinate_pp_cudagraph_mode and get_pp_group().world_size > 1:`), a parameter that ONLY the real execute_model call site sets True. The dummy/warmup/profile/capture path (_dummy_run) leaves it False, so no PP gloo collective is issued during capture_model -> no startup deadlock on PP>1 (the prior union carried the ungated version, which wedged TP2/PP2 at startup: PP0 in do_poll, PP1 in futex_wait, /health never 200). The vllm-project#45094 split-brain fix is preserved on the lockstep decode path. gpu_worker.py composition (carried forward from prior union): vllm-project#45398 pluggable sleep-mode backend abstraction (_get_sleep_mode_backend, sleep->backend.suspend, wake_up->backend.resume; adds vllm/device_allocator/sleep_mode_backend.py + executor/abstract.py + config/model.py fields) vllm-project#45619 gate level-2 sleep buffer restore on the weights wake tag vllm-project#45620 do not crash sleep() on shared-GPU device-global free drop vllm-project#45612 cumem_tag PP-broadcast wake race: symmetric gloo wake handshake Tests included: test_sleep_mode_backend, test_pp_cudagraph_consensus (with the 3 new startup-deadlock AST guards), test_fp8_kv_scale_wake, test_gpu_model_runner_fp8_wake_up, test_gpu_worker_wake_barrier. cumem.py deliberately excluded: vllm-project#45612 local wake-sync overlaps the independently-carried vllm-project#45552/vllm-project#45554 cumem.py hunks. vllm-project#45552 provides the wake-exit synchronize; the load-bearing gloo handshake lives in gpu_worker.py. Python-only (no csrc/kernels), safe for the precompiled-wheel fork. Individual upstream PRs stay open for review; only the CARRY consolidates. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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vllm-project#45610] Single FULL-UNION fork-carry composing ALL wake-path changes onto one base (upstream/main), so the sync open-PR loop never has to apply mutually-adjacent wake-path hunks sequentially (honest-fact vllm-project#54 adjacency clobber). The three gpu_model_runner.py PRs touch the SAME hunks; sequential -X-theirs drops them. This commit is the SOLE provider; the three PRs are SKIPPED from the loop. gpu_model_runner.py wake-path markers (all present, verified): vllm-project#44778 _iter_kv_cache_tensors nested-container KV zeroing on wake vllm-project#45617 scale_specs calibrated FP8-KV scale restore on wake vllm-project#45610 coordinate_cudagraph_mode_across_pp PP-cudagraph MIN consensus (fix vllm-project#45094 split-brain wedge) + vllm/v1/worker/pp_utils.py helper *** vllm-project#45610 STARTUP-DEADLOCK FIX folded in (PR head 4d20740): the PP consensus all-reduce is now gated on `coordinate_pp_cudagraph_mode` (`if coordinate_pp_cudagraph_mode and get_pp_group().world_size > 1:`), a parameter that ONLY the real execute_model call site sets True. The dummy/warmup/profile/capture path (_dummy_run) leaves it False, so no PP gloo collective is issued during capture_model -> no startup deadlock on PP>1 (the prior union carried the ungated version, which wedged TP2/PP2 at startup: PP0 in do_poll, PP1 in futex_wait, /health never 200). The vllm-project#45094 split-brain fix is preserved on the lockstep decode path. gpu_worker.py composition (carried forward from prior union): vllm-project#45398 pluggable sleep-mode backend abstraction (_get_sleep_mode_backend, sleep->backend.suspend, wake_up->backend.resume; adds vllm/device_allocator/sleep_mode_backend.py + executor/abstract.py + config/model.py fields) vllm-project#45619 gate level-2 sleep buffer restore on the weights wake tag vllm-project#45620 do not crash sleep() on shared-GPU device-global free drop vllm-project#45612 cumem_tag PP-broadcast wake race: symmetric gloo wake handshake Tests included: test_sleep_mode_backend, test_pp_cudagraph_consensus (with the 3 new startup-deadlock AST guards), test_fp8_kv_scale_wake, test_gpu_model_runner_fp8_wake_up, test_gpu_worker_wake_barrier. cumem.py deliberately excluded: vllm-project#45612 local wake-sync overlaps the independently-carried vllm-project#45552/vllm-project#45554 cumem.py hunks. vllm-project#45552 provides the wake-exit synchronize; the load-bearing gloo handshake lives in gpu_worker.py. Python-only (no csrc/kernels), safe for the precompiled-wheel fork. Individual upstream PRs stay open for review; only the CARRY consolidates. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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vllm-project#45610] Single FULL-UNION fork-carry composing ALL wake-path changes onto one base (upstream/main), so the sync open-PR loop never has to apply mutually-adjacent wake-path hunks sequentially (honest-fact vllm-project#54 adjacency clobber). The three gpu_model_runner.py PRs touch the SAME hunks; sequential -X-theirs drops them. This commit is the SOLE provider; the three PRs are SKIPPED from the loop. gpu_model_runner.py wake-path markers (all present, verified): vllm-project#44778 _iter_kv_cache_tensors nested-container KV zeroing on wake vllm-project#45617 scale_specs calibrated FP8-KV scale restore on wake vllm-project#45610 coordinate_cudagraph_mode_across_pp PP-cudagraph MIN consensus (fix vllm-project#45094 split-brain wedge) + vllm/v1/worker/pp_utils.py helper *** vllm-project#45610 STARTUP-DEADLOCK FIX folded in (PR head 4d20740): the PP consensus all-reduce is now gated on `coordinate_pp_cudagraph_mode` (`if coordinate_pp_cudagraph_mode and get_pp_group().world_size > 1:`), a parameter that ONLY the real execute_model call site sets True. The dummy/warmup/profile/capture path (_dummy_run) leaves it False, so no PP gloo collective is issued during capture_model -> no startup deadlock on PP>1 (the prior union carried the ungated version, which wedged TP2/PP2 at startup: PP0 in do_poll, PP1 in futex_wait, /health never 200). The vllm-project#45094 split-brain fix is preserved on the lockstep decode path. gpu_worker.py composition (carried forward from prior union): vllm-project#45398 pluggable sleep-mode backend abstraction (_get_sleep_mode_backend, sleep->backend.suspend, wake_up->backend.resume; adds vllm/device_allocator/sleep_mode_backend.py + executor/abstract.py + config/model.py fields) vllm-project#45619 gate level-2 sleep buffer restore on the weights wake tag vllm-project#45620 do not crash sleep() on shared-GPU device-global free drop vllm-project#45612 cumem_tag PP-broadcast wake race: symmetric gloo wake handshake Tests included: test_sleep_mode_backend, test_pp_cudagraph_consensus (with the 3 new startup-deadlock AST guards), test_fp8_kv_scale_wake, test_gpu_model_runner_fp8_wake_up, test_gpu_worker_wake_barrier. cumem.py deliberately excluded: vllm-project#45612 local wake-sync overlaps the independently-carried vllm-project#45552/vllm-project#45554 cumem.py hunks. vllm-project#45552 provides the wake-exit synchronize; the load-bearing gloo handshake lives in gpu_worker.py. Python-only (no csrc/kernels), safe for the precompiled-wheel fork. Individual upstream PRs stay open for review; only the CARRY consolidates. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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vllm-project#45610] Single FULL-UNION fork-carry composing ALL wake-path changes onto one base (upstream/main), so the sync open-PR loop never has to apply mutually-adjacent wake-path hunks sequentially (honest-fact vllm-project#54 adjacency clobber). The three gpu_model_runner.py PRs touch the SAME hunks; sequential -X-theirs drops them. This commit is the SOLE provider; the three PRs are SKIPPED from the loop. gpu_model_runner.py wake-path markers (all present, verified): vllm-project#44778 _iter_kv_cache_tensors nested-container KV zeroing on wake vllm-project#45617 scale_specs calibrated FP8-KV scale restore on wake vllm-project#45610 coordinate_cudagraph_mode_across_pp PP-cudagraph MIN consensus (fix vllm-project#45094 split-brain wedge) + vllm/v1/worker/pp_utils.py helper *** vllm-project#45610 STARTUP-DEADLOCK FIX folded in (PR head 4d20740): the PP consensus all-reduce is now gated on `coordinate_pp_cudagraph_mode` (`if coordinate_pp_cudagraph_mode and get_pp_group().world_size > 1:`), a parameter that ONLY the real execute_model call site sets True. The dummy/warmup/profile/capture path (_dummy_run) leaves it False, so no PP gloo collective is issued during capture_model -> no startup deadlock on PP>1 (the prior union carried the ungated version, which wedged TP2/PP2 at startup: PP0 in do_poll, PP1 in futex_wait, /health never 200). The vllm-project#45094 split-brain fix is preserved on the lockstep decode path. gpu_worker.py composition (carried forward from prior union): vllm-project#45398 pluggable sleep-mode backend abstraction (_get_sleep_mode_backend, sleep->backend.suspend, wake_up->backend.resume; adds vllm/device_allocator/sleep_mode_backend.py + executor/abstract.py + config/model.py fields) vllm-project#45619 gate level-2 sleep buffer restore on the weights wake tag vllm-project#45620 do not crash sleep() on shared-GPU device-global free drop vllm-project#45612 cumem_tag PP-broadcast wake race: symmetric gloo wake handshake Tests included: test_sleep_mode_backend, test_pp_cudagraph_consensus (with the 3 new startup-deadlock AST guards), test_fp8_kv_scale_wake, test_gpu_model_runner_fp8_wake_up, test_gpu_worker_wake_barrier. cumem.py deliberately excluded: vllm-project#45612 local wake-sync overlaps the independently-carried vllm-project#45552/vllm-project#45554 cumem.py hunks. vllm-project#45552 provides the wake-exit synchronize; the load-bearing gloo handshake lives in gpu_worker.py. Python-only (no csrc/kernels), safe for the precompiled-wheel fork. Individual upstream PRs stay open for review; only the CARRY consolidates. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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vllm-project#45610] Single FULL-UNION fork-carry composing ALL wake-path changes onto one base (upstream/main), so the sync open-PR loop never has to apply mutually-adjacent wake-path hunks sequentially (honest-fact vllm-project#54 adjacency clobber). The three gpu_model_runner.py PRs touch the SAME hunks; sequential -X-theirs drops them. This commit is the SOLE provider; the three PRs are SKIPPED from the loop. gpu_model_runner.py wake-path markers (all present, verified): vllm-project#44778 _iter_kv_cache_tensors nested-container KV zeroing on wake vllm-project#45617 scale_specs calibrated FP8-KV scale restore on wake vllm-project#45610 coordinate_cudagraph_mode_across_pp PP-cudagraph MIN consensus (fix vllm-project#45094 split-brain wedge) + vllm/v1/worker/pp_utils.py helper *** vllm-project#45610 STARTUP-DEADLOCK FIX folded in (PR head 4d20740): the PP consensus all-reduce is now gated on `coordinate_pp_cudagraph_mode` (`if coordinate_pp_cudagraph_mode and get_pp_group().world_size > 1:`), a parameter that ONLY the real execute_model call site sets True. The dummy/warmup/profile/capture path (_dummy_run) leaves it False, so no PP gloo collective is issued during capture_model -> no startup deadlock on PP>1 (the prior union carried the ungated version, which wedged TP2/PP2 at startup: PP0 in do_poll, PP1 in futex_wait, /health never 200). The vllm-project#45094 split-brain fix is preserved on the lockstep decode path. gpu_worker.py composition (carried forward from prior union): vllm-project#45398 pluggable sleep-mode backend abstraction (_get_sleep_mode_backend, sleep->backend.suspend, wake_up->backend.resume; adds vllm/device_allocator/sleep_mode_backend.py + executor/abstract.py + config/model.py fields) vllm-project#45619 gate level-2 sleep buffer restore on the weights wake tag vllm-project#45620 do not crash sleep() on shared-GPU device-global free drop vllm-project#45612 cumem_tag PP-broadcast wake race: symmetric gloo wake handshake Tests included: test_sleep_mode_backend, test_pp_cudagraph_consensus (with the 3 new startup-deadlock AST guards), test_fp8_kv_scale_wake, test_gpu_model_runner_fp8_wake_up, test_gpu_worker_wake_barrier. cumem.py deliberately excluded: vllm-project#45612 local wake-sync overlaps the independently-carried vllm-project#45552/vllm-project#45554 cumem.py hunks. vllm-project#45552 provides the wake-exit synchronize; the load-bearing gloo handshake lives in gpu_worker.py. Python-only (no csrc/kernels), safe for the precompiled-wheel fork. Individual upstream PRs stay open for review; only the CARRY consolidates. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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…lm-project#45610 HOIST f24612b] Single FULL-UNION fork-carry composing ALL wake-path changes onto one base (upstream/main), so the sync open-PR loop never has to apply mutually-adjacent wake-path hunks sequentially (honest-fact vllm-project#54 adjacency clobber). The wake-path PRs touch the SAME hunks; sequential -X-theirs drops them. This commit is the SOLE provider; the PRs (vllm-project#45610 vllm-project#45617 vllm-project#44778 vllm-project#45611 vllm-project#45565) are SKIPPED from the loop via PRECOMPILED_WHEEL_SKIP_PRS. *** vllm-project#45610 DECODE-WEDGE FIX RE-FOLDED: now carries the PP-consensus HOIST (PR vllm-project#45610 head f24612b), REPLACING the earlier pre-hoist gate variant (4d20740). The cudagraph-mode consensus all-reduce is hoisted out of the model runner's execute_model and into Worker.execute_model, issued BEFORE the inter-stage irecv_tensor_dict (gpu_worker.py). This eliminates the structural deadlock cycle that wedged TP2/PP2 at decode step 0 (PP0 ranks parked in coordinate_cudagraph_mode_ across_pp -> all_reduce while PP1 ranks parked in irecv gloo waitRecv). The model runner no longer self-issues the consensus all_reduce; it consumes the agreed value via the new pp_synced_cudagraph_mode kwarg. Applies to V1 (gpu_model_runner.py), V2 (gpu/model_runner.py), DP (gpu/dp_utils.py), and Ray (executor/ray_utils.py) paths, plus pp_utils.py helper. gpu_model_runner.py wake-path markers (HOTPATH_FILE_RESTORE / CARRY_HOTPATH_ASSERTS): vllm-project#44778 _iter_kv_cache_tensors nested-container KV zeroing on wake vllm-project#45617 scale_specs calibrated FP8-KV scale restore on wake gpu_worker.py composition (carried forward from prior union; disjoint region from the hoist's execute_model edits, no adjacency conflict): vllm-project#45398 pluggable sleep-mode backend abstraction (_get_sleep_mode_backend, sleep->backend.suspend, wake_up->backend.resume; adds vllm/device_allocator/sleep_mode_backend.py + executor/abstract.py + config/model.py fields) vllm-project#45619 gate level-2 sleep buffer restore on the weights wake tag vllm-project#45620 do not crash sleep() on shared-GPU device-global free drop vllm-project#45612 cumem_tag PP-broadcast wake race: symmetric gloo wake handshake AUDIT-D composition assertions (verified, not just grepped): - wake_up dispatches backend.resume EXACTLY ONCE (needs_wake_sync if/else are mutually-exclusive branches); NO raw allocator.wake_up Block B double-wake. - the hoist consensus block precedes irecv_tensor_dict in Worker.execute_model. - runner does NOT self-issue the consensus all_reduce (hoist-correct). Tests: test_sleep_mode_backend, test_pp_cudagraph_consensus (V1 hoist), test_pp_cudagraph_consensus_v2 (V2 hoist), test_fp8_kv_scale_wake, test_gpu_model_runner_fp8_wake_up, test_gpu_worker_wake_barrier. cumem.py deliberately excluded (carried by separate FORK_CARRIED entries vllm-project#45615/vllm-project#45552); the load-bearing gloo wake handshake lives in gpu_worker.py. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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…lm-project#45610 HOIST f24612b] Single FULL-UNION fork-carry composing ALL wake-path changes onto one base (upstream/main), so the sync open-PR loop never has to apply mutually-adjacent wake-path hunks sequentially (honest-fact vllm-project#54 adjacency clobber). The wake-path PRs touch the SAME hunks; sequential -X-theirs drops them. This commit is the SOLE provider; the PRs (vllm-project#45610 vllm-project#45617 vllm-project#44778 vllm-project#45611 vllm-project#45565) are SKIPPED from the loop via PRECOMPILED_WHEEL_SKIP_PRS. *** vllm-project#45610 DECODE-WEDGE FIX RE-FOLDED: now carries the PP-consensus HOIST (PR vllm-project#45610 head f24612b), REPLACING the earlier pre-hoist gate variant (4d20740). The cudagraph-mode consensus all-reduce is hoisted out of the model runner's execute_model and into Worker.execute_model, issued BEFORE the inter-stage irecv_tensor_dict (gpu_worker.py). This eliminates the structural deadlock cycle that wedged TP2/PP2 at decode step 0 (PP0 ranks parked in coordinate_cudagraph_mode_ across_pp -> all_reduce while PP1 ranks parked in irecv gloo waitRecv). The model runner no longer self-issues the consensus all_reduce; it consumes the agreed value via the new pp_synced_cudagraph_mode kwarg. Applies to V1 (gpu_model_runner.py), V2 (gpu/model_runner.py), DP (gpu/dp_utils.py), and Ray (executor/ray_utils.py) paths, plus pp_utils.py helper. gpu_model_runner.py wake-path markers (HOTPATH_FILE_RESTORE / CARRY_HOTPATH_ASSERTS): vllm-project#44778 _iter_kv_cache_tensors nested-container KV zeroing on wake vllm-project#45617 scale_specs calibrated FP8-KV scale restore on wake gpu_worker.py composition (carried forward from prior union; disjoint region from the hoist's execute_model edits, no adjacency conflict): vllm-project#45398 pluggable sleep-mode backend abstraction (_get_sleep_mode_backend, sleep->backend.suspend, wake_up->backend.resume; adds vllm/device_allocator/sleep_mode_backend.py + executor/abstract.py + config/model.py fields) vllm-project#45619 gate level-2 sleep buffer restore on the weights wake tag vllm-project#45620 do not crash sleep() on shared-GPU device-global free drop vllm-project#45612 cumem_tag PP-broadcast wake race: symmetric gloo wake handshake AUDIT-D composition assertions (verified, not just grepped): - wake_up dispatches backend.resume EXACTLY ONCE (needs_wake_sync if/else are mutually-exclusive branches); NO raw allocator.wake_up Block B double-wake. - the hoist consensus block precedes irecv_tensor_dict in Worker.execute_model. - runner does NOT self-issue the consensus all_reduce (hoist-correct). Tests: test_sleep_mode_backend, test_pp_cudagraph_consensus (V1 hoist), test_pp_cudagraph_consensus_v2 (V2 hoist), test_fp8_kv_scale_wake, test_gpu_model_runner_fp8_wake_up, test_gpu_worker_wake_barrier. cumem.py deliberately excluded (carried by separate FORK_CARRIED entries vllm-project#45615/vllm-project#45552); the load-bearing gloo wake handshake lives in gpu_worker.py. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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…lm-project#45610 HOIST f24612b] Single FULL-UNION fork-carry composing ALL wake-path changes onto one base (upstream/main), so the sync open-PR loop never has to apply mutually-adjacent wake-path hunks sequentially (honest-fact vllm-project#54 adjacency clobber). The wake-path PRs touch the SAME hunks; sequential -X-theirs drops them. This commit is the SOLE provider; the PRs (vllm-project#45610 vllm-project#45617 vllm-project#44778 vllm-project#45611 vllm-project#45565) are SKIPPED from the loop via PRECOMPILED_WHEEL_SKIP_PRS. *** vllm-project#45610 DECODE-WEDGE FIX RE-FOLDED: now carries the PP-consensus HOIST (PR vllm-project#45610 head f24612b), REPLACING the earlier pre-hoist gate variant (4d20740). The cudagraph-mode consensus all-reduce is hoisted out of the model runner's execute_model and into Worker.execute_model, issued BEFORE the inter-stage irecv_tensor_dict (gpu_worker.py). This eliminates the structural deadlock cycle that wedged TP2/PP2 at decode step 0 (PP0 ranks parked in coordinate_cudagraph_mode_ across_pp -> all_reduce while PP1 ranks parked in irecv gloo waitRecv). The model runner no longer self-issues the consensus all_reduce; it consumes the agreed value via the new pp_synced_cudagraph_mode kwarg. Applies to V1 (gpu_model_runner.py), V2 (gpu/model_runner.py), DP (gpu/dp_utils.py), and Ray (executor/ray_utils.py) paths, plus pp_utils.py helper. gpu_model_runner.py wake-path markers (HOTPATH_FILE_RESTORE / CARRY_HOTPATH_ASSERTS): vllm-project#44778 _iter_kv_cache_tensors nested-container KV zeroing on wake vllm-project#45617 scale_specs calibrated FP8-KV scale restore on wake gpu_worker.py composition (carried forward from prior union; disjoint region from the hoist's execute_model edits, no adjacency conflict): vllm-project#45398 pluggable sleep-mode backend abstraction (_get_sleep_mode_backend, sleep->backend.suspend, wake_up->backend.resume; adds vllm/device_allocator/sleep_mode_backend.py + executor/abstract.py + config/model.py fields) vllm-project#45619 gate level-2 sleep buffer restore on the weights wake tag vllm-project#45620 do not crash sleep() on shared-GPU device-global free drop vllm-project#45612 cumem_tag PP-broadcast wake race: symmetric gloo wake handshake AUDIT-D composition assertions (verified, not just grepped): - wake_up dispatches backend.resume EXACTLY ONCE (needs_wake_sync if/else are mutually-exclusive branches); NO raw allocator.wake_up Block B double-wake. - the hoist consensus block precedes irecv_tensor_dict in Worker.execute_model. - runner does NOT self-issue the consensus all_reduce (hoist-correct). Tests: test_sleep_mode_backend, test_pp_cudagraph_consensus (V1 hoist), test_pp_cudagraph_consensus_v2 (V2 hoist), test_fp8_kv_scale_wake, test_gpu_model_runner_fp8_wake_up, test_gpu_worker_wake_barrier. cumem.py deliberately excluded (carried by separate FORK_CARRIED entries vllm-project#45615/vllm-project#45552); the load-bearing gloo wake handshake lives in gpu_worker.py. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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…lm-project#45610 HOIST f24612b] Single FULL-UNION fork-carry composing ALL wake-path changes onto one base (upstream/main), so the sync open-PR loop never has to apply mutually-adjacent wake-path hunks sequentially (honest-fact vllm-project#54 adjacency clobber). The wake-path PRs touch the SAME hunks; sequential -X-theirs drops them. This commit is the SOLE provider; the PRs (vllm-project#45610 vllm-project#45617 vllm-project#44778 vllm-project#45611 vllm-project#45565) are SKIPPED from the loop via PRECOMPILED_WHEEL_SKIP_PRS. *** vllm-project#45610 DECODE-WEDGE FIX RE-FOLDED: now carries the PP-consensus HOIST (PR vllm-project#45610 head f24612b), REPLACING the earlier pre-hoist gate variant (4d20740). The cudagraph-mode consensus all-reduce is hoisted out of the model runner's execute_model and into Worker.execute_model, issued BEFORE the inter-stage irecv_tensor_dict (gpu_worker.py). This eliminates the structural deadlock cycle that wedged TP2/PP2 at decode step 0 (PP0 ranks parked in coordinate_cudagraph_mode_ across_pp -> all_reduce while PP1 ranks parked in irecv gloo waitRecv). The model runner no longer self-issues the consensus all_reduce; it consumes the agreed value via the new pp_synced_cudagraph_mode kwarg. Applies to V1 (gpu_model_runner.py), V2 (gpu/model_runner.py), DP (gpu/dp_utils.py), and Ray (executor/ray_utils.py) paths, plus pp_utils.py helper. gpu_model_runner.py wake-path markers (HOTPATH_FILE_RESTORE / CARRY_HOTPATH_ASSERTS): vllm-project#44778 _iter_kv_cache_tensors nested-container KV zeroing on wake vllm-project#45617 scale_specs calibrated FP8-KV scale restore on wake gpu_worker.py composition (carried forward from prior union; disjoint region from the hoist's execute_model edits, no adjacency conflict): vllm-project#45398 pluggable sleep-mode backend abstraction (_get_sleep_mode_backend, sleep->backend.suspend, wake_up->backend.resume; adds vllm/device_allocator/sleep_mode_backend.py + executor/abstract.py + config/model.py fields) vllm-project#45619 gate level-2 sleep buffer restore on the weights wake tag vllm-project#45620 do not crash sleep() on shared-GPU device-global free drop vllm-project#45612 cumem_tag PP-broadcast wake race: symmetric gloo wake handshake AUDIT-D composition assertions (verified, not just grepped): - wake_up dispatches backend.resume EXACTLY ONCE (needs_wake_sync if/else are mutually-exclusive branches); NO raw allocator.wake_up Block B double-wake. - the hoist consensus block precedes irecv_tensor_dict in Worker.execute_model. - runner does NOT self-issue the consensus all_reduce (hoist-correct). Tests: test_sleep_mode_backend, test_pp_cudagraph_consensus (V1 hoist), test_pp_cudagraph_consensus_v2 (V2 hoist), test_fp8_kv_scale_wake, test_gpu_model_runner_fp8_wake_up, test_gpu_worker_wake_barrier. cumem.py deliberately excluded (carried by separate FORK_CARRIED entries vllm-project#45615/vllm-project#45552); the load-bearing gloo wake handshake lives in gpu_worker.py. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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…lm-project#45610 HOIST f24612b] Single FULL-UNION fork-carry composing ALL wake-path changes onto one base (upstream/main), so the sync open-PR loop never has to apply mutually-adjacent wake-path hunks sequentially (honest-fact vllm-project#54 adjacency clobber). The wake-path PRs touch the SAME hunks; sequential -X-theirs drops them. This commit is the SOLE provider; the PRs (vllm-project#45610 vllm-project#45617 vllm-project#44778 vllm-project#45611 vllm-project#45565) are SKIPPED from the loop via PRECOMPILED_WHEEL_SKIP_PRS. *** vllm-project#45610 DECODE-WEDGE FIX RE-FOLDED: now carries the PP-consensus HOIST (PR vllm-project#45610 head f24612b), REPLACING the earlier pre-hoist gate variant (4d20740). The cudagraph-mode consensus all-reduce is hoisted out of the model runner's execute_model and into Worker.execute_model, issued BEFORE the inter-stage irecv_tensor_dict (gpu_worker.py). This eliminates the structural deadlock cycle that wedged TP2/PP2 at decode step 0 (PP0 ranks parked in coordinate_cudagraph_mode_ across_pp -> all_reduce while PP1 ranks parked in irecv gloo waitRecv). The model runner no longer self-issues the consensus all_reduce; it consumes the agreed value via the new pp_synced_cudagraph_mode kwarg. Applies to V1 (gpu_model_runner.py), V2 (gpu/model_runner.py), DP (gpu/dp_utils.py), and Ray (executor/ray_utils.py) paths, plus pp_utils.py helper. gpu_model_runner.py wake-path markers (HOTPATH_FILE_RESTORE / CARRY_HOTPATH_ASSERTS): vllm-project#44778 _iter_kv_cache_tensors nested-container KV zeroing on wake vllm-project#45617 scale_specs calibrated FP8-KV scale restore on wake gpu_worker.py composition (carried forward from prior union; disjoint region from the hoist's execute_model edits, no adjacency conflict): vllm-project#45398 pluggable sleep-mode backend abstraction (_get_sleep_mode_backend, sleep->backend.suspend, wake_up->backend.resume; adds vllm/device_allocator/sleep_mode_backend.py + executor/abstract.py + config/model.py fields) vllm-project#45619 gate level-2 sleep buffer restore on the weights wake tag vllm-project#45620 do not crash sleep() on shared-GPU device-global free drop vllm-project#45612 cumem_tag PP-broadcast wake race: symmetric gloo wake handshake AUDIT-D composition assertions (verified, not just grepped): - wake_up dispatches backend.resume EXACTLY ONCE (needs_wake_sync if/else are mutually-exclusive branches); NO raw allocator.wake_up Block B double-wake. - the hoist consensus block precedes irecv_tensor_dict in Worker.execute_model. - runner does NOT self-issue the consensus all_reduce (hoist-correct). Tests: test_sleep_mode_backend, test_pp_cudagraph_consensus (V1 hoist), test_pp_cudagraph_consensus_v2 (V2 hoist), test_fp8_kv_scale_wake, test_gpu_model_runner_fp8_wake_up, test_gpu_worker_wake_barrier. cumem.py deliberately excluded (carried by separate FORK_CARRIED entries vllm-project#45615/vllm-project#45552); the load-bearing gloo wake handshake lives in gpu_worker.py. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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…lm-project#45610 HOIST f24612b] Single FULL-UNION fork-carry composing ALL wake-path changes onto one base (upstream/main), so the sync open-PR loop never has to apply mutually-adjacent wake-path hunks sequentially (honest-fact vllm-project#54 adjacency clobber). The wake-path PRs touch the SAME hunks; sequential -X-theirs drops them. This commit is the SOLE provider; the PRs (vllm-project#45610 vllm-project#45617 vllm-project#44778 vllm-project#45611 vllm-project#45565) are SKIPPED from the loop via PRECOMPILED_WHEEL_SKIP_PRS. *** vllm-project#45610 DECODE-WEDGE FIX RE-FOLDED: now carries the PP-consensus HOIST (PR vllm-project#45610 head f24612b), REPLACING the earlier pre-hoist gate variant (4d20740). The cudagraph-mode consensus all-reduce is hoisted out of the model runner's execute_model and into Worker.execute_model, issued BEFORE the inter-stage irecv_tensor_dict (gpu_worker.py). This eliminates the structural deadlock cycle that wedged TP2/PP2 at decode step 0 (PP0 ranks parked in coordinate_cudagraph_mode_ across_pp -> all_reduce while PP1 ranks parked in irecv gloo waitRecv). The model runner no longer self-issues the consensus all_reduce; it consumes the agreed value via the new pp_synced_cudagraph_mode kwarg. Applies to V1 (gpu_model_runner.py), V2 (gpu/model_runner.py), DP (gpu/dp_utils.py), and Ray (executor/ray_utils.py) paths, plus pp_utils.py helper. gpu_model_runner.py wake-path markers (HOTPATH_FILE_RESTORE / CARRY_HOTPATH_ASSERTS): vllm-project#44778 _iter_kv_cache_tensors nested-container KV zeroing on wake vllm-project#45617 scale_specs calibrated FP8-KV scale restore on wake gpu_worker.py composition (carried forward from prior union; disjoint region from the hoist's execute_model edits, no adjacency conflict): vllm-project#45398 pluggable sleep-mode backend abstraction (_get_sleep_mode_backend, sleep->backend.suspend, wake_up->backend.resume; adds vllm/device_allocator/sleep_mode_backend.py + executor/abstract.py + config/model.py fields) vllm-project#45619 gate level-2 sleep buffer restore on the weights wake tag vllm-project#45620 do not crash sleep() on shared-GPU device-global free drop vllm-project#45612 cumem_tag PP-broadcast wake race: symmetric gloo wake handshake AUDIT-D composition assertions (verified, not just grepped): - wake_up dispatches backend.resume EXACTLY ONCE (needs_wake_sync if/else are mutually-exclusive branches); NO raw allocator.wake_up Block B double-wake. - the hoist consensus block precedes irecv_tensor_dict in Worker.execute_model. - runner does NOT self-issue the consensus all_reduce (hoist-correct). Tests: test_sleep_mode_backend, test_pp_cudagraph_consensus (V1 hoist), test_pp_cudagraph_consensus_v2 (V2 hoist), test_fp8_kv_scale_wake, test_gpu_model_runner_fp8_wake_up, test_gpu_worker_wake_barrier. cumem.py deliberately excluded (carried by separate FORK_CARRIED entries vllm-project#45615/vllm-project#45552); the load-bearing gloo wake handshake lives in gpu_worker.py. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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…lm-project#45610 HOIST f24612b] Single FULL-UNION fork-carry composing ALL wake-path changes onto one base (upstream/main), so the sync open-PR loop never has to apply mutually-adjacent wake-path hunks sequentially (honest-fact vllm-project#54 adjacency clobber). The wake-path PRs touch the SAME hunks; sequential -X-theirs drops them. This commit is the SOLE provider; the PRs (vllm-project#45610 vllm-project#45617 vllm-project#44778 vllm-project#45611 vllm-project#45565) are SKIPPED from the loop via PRECOMPILED_WHEEL_SKIP_PRS. *** vllm-project#45610 DECODE-WEDGE FIX RE-FOLDED: now carries the PP-consensus HOIST (PR vllm-project#45610 head f24612b), REPLACING the earlier pre-hoist gate variant (4d20740). The cudagraph-mode consensus all-reduce is hoisted out of the model runner's execute_model and into Worker.execute_model, issued BEFORE the inter-stage irecv_tensor_dict (gpu_worker.py). This eliminates the structural deadlock cycle that wedged TP2/PP2 at decode step 0 (PP0 ranks parked in coordinate_cudagraph_mode_ across_pp -> all_reduce while PP1 ranks parked in irecv gloo waitRecv). The model runner no longer self-issues the consensus all_reduce; it consumes the agreed value via the new pp_synced_cudagraph_mode kwarg. Applies to V1 (gpu_model_runner.py), V2 (gpu/model_runner.py), DP (gpu/dp_utils.py), and Ray (executor/ray_utils.py) paths, plus pp_utils.py helper. gpu_model_runner.py wake-path markers (HOTPATH_FILE_RESTORE / CARRY_HOTPATH_ASSERTS): vllm-project#44778 _iter_kv_cache_tensors nested-container KV zeroing on wake vllm-project#45617 scale_specs calibrated FP8-KV scale restore on wake gpu_worker.py composition (carried forward from prior union; disjoint region from the hoist's execute_model edits, no adjacency conflict): vllm-project#45398 pluggable sleep-mode backend abstraction (_get_sleep_mode_backend, sleep->backend.suspend, wake_up->backend.resume; adds vllm/device_allocator/sleep_mode_backend.py + executor/abstract.py + config/model.py fields) vllm-project#45619 gate level-2 sleep buffer restore on the weights wake tag vllm-project#45620 do not crash sleep() on shared-GPU device-global free drop vllm-project#45612 cumem_tag PP-broadcast wake race: symmetric gloo wake handshake AUDIT-D composition assertions (verified, not just grepped): - wake_up dispatches backend.resume EXACTLY ONCE (needs_wake_sync if/else are mutually-exclusive branches); NO raw allocator.wake_up Block B double-wake. - the hoist consensus block precedes irecv_tensor_dict in Worker.execute_model. - runner does NOT self-issue the consensus all_reduce (hoist-correct). Tests: test_sleep_mode_backend, test_pp_cudagraph_consensus (V1 hoist), test_pp_cudagraph_consensus_v2 (V2 hoist), test_fp8_kv_scale_wake, test_gpu_model_runner_fp8_wake_up, test_gpu_worker_wake_barrier. cumem.py deliberately excluded (carried by separate FORK_CARRIED entries vllm-project#45615/vllm-project#45552); the load-bearing gloo wake handshake lives in gpu_worker.py. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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…lm-project#45610 HOIST f24612b] Single FULL-UNION fork-carry composing ALL wake-path changes onto one base (upstream/main), so the sync open-PR loop never has to apply mutually-adjacent wake-path hunks sequentially (honest-fact vllm-project#54 adjacency clobber). The wake-path PRs touch the SAME hunks; sequential -X-theirs drops them. This commit is the SOLE provider; the PRs (vllm-project#45610 vllm-project#45617 vllm-project#44778 vllm-project#45611 vllm-project#45565) are SKIPPED from the loop via PRECOMPILED_WHEEL_SKIP_PRS. *** vllm-project#45610 DECODE-WEDGE FIX RE-FOLDED: now carries the PP-consensus HOIST (PR vllm-project#45610 head f24612b), REPLACING the earlier pre-hoist gate variant (4d20740). The cudagraph-mode consensus all-reduce is hoisted out of the model runner's execute_model and into Worker.execute_model, issued BEFORE the inter-stage irecv_tensor_dict (gpu_worker.py). This eliminates the structural deadlock cycle that wedged TP2/PP2 at decode step 0 (PP0 ranks parked in coordinate_cudagraph_mode_ across_pp -> all_reduce while PP1 ranks parked in irecv gloo waitRecv). The model runner no longer self-issues the consensus all_reduce; it consumes the agreed value via the new pp_synced_cudagraph_mode kwarg. Applies to V1 (gpu_model_runner.py), V2 (gpu/model_runner.py), DP (gpu/dp_utils.py), and Ray (executor/ray_utils.py) paths, plus pp_utils.py helper. gpu_model_runner.py wake-path markers (HOTPATH_FILE_RESTORE / CARRY_HOTPATH_ASSERTS): vllm-project#44778 _iter_kv_cache_tensors nested-container KV zeroing on wake vllm-project#45617 scale_specs calibrated FP8-KV scale restore on wake gpu_worker.py composition (carried forward from prior union; disjoint region from the hoist's execute_model edits, no adjacency conflict): vllm-project#45398 pluggable sleep-mode backend abstraction (_get_sleep_mode_backend, sleep->backend.suspend, wake_up->backend.resume; adds vllm/device_allocator/sleep_mode_backend.py + executor/abstract.py + config/model.py fields) vllm-project#45619 gate level-2 sleep buffer restore on the weights wake tag vllm-project#45620 do not crash sleep() on shared-GPU device-global free drop vllm-project#45612 cumem_tag PP-broadcast wake race: symmetric gloo wake handshake AUDIT-D composition assertions (verified, not just grepped): - wake_up dispatches backend.resume EXACTLY ONCE (needs_wake_sync if/else are mutually-exclusive branches); NO raw allocator.wake_up Block B double-wake. - the hoist consensus block precedes irecv_tensor_dict in Worker.execute_model. - runner does NOT self-issue the consensus all_reduce (hoist-correct). Tests: test_sleep_mode_backend, test_pp_cudagraph_consensus (V1 hoist), test_pp_cudagraph_consensus_v2 (V2 hoist), test_fp8_kv_scale_wake, test_gpu_model_runner_fp8_wake_up, test_gpu_worker_wake_barrier. cumem.py deliberately excluded (carried by separate FORK_CARRIED entries vllm-project#45615/vllm-project#45552); the load-bearing gloo wake handshake lives in gpu_worker.py. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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…lm-project#45610 HOIST f24612b] Single FULL-UNION fork-carry composing ALL wake-path changes onto one base (upstream/main), so the sync open-PR loop never has to apply mutually-adjacent wake-path hunks sequentially (honest-fact vllm-project#54 adjacency clobber). The wake-path PRs touch the SAME hunks; sequential -X-theirs drops them. This commit is the SOLE provider; the PRs (vllm-project#45610 vllm-project#45617 vllm-project#44778 vllm-project#45611 vllm-project#45565) are SKIPPED from the loop via PRECOMPILED_WHEEL_SKIP_PRS. *** vllm-project#45610 DECODE-WEDGE FIX RE-FOLDED: now carries the PP-consensus HOIST (PR vllm-project#45610 head f24612b), REPLACING the earlier pre-hoist gate variant (4d20740). The cudagraph-mode consensus all-reduce is hoisted out of the model runner's execute_model and into Worker.execute_model, issued BEFORE the inter-stage irecv_tensor_dict (gpu_worker.py). This eliminates the structural deadlock cycle that wedged TP2/PP2 at decode step 0 (PP0 ranks parked in coordinate_cudagraph_mode_ across_pp -> all_reduce while PP1 ranks parked in irecv gloo waitRecv). The model runner no longer self-issues the consensus all_reduce; it consumes the agreed value via the new pp_synced_cudagraph_mode kwarg. Applies to V1 (gpu_model_runner.py), V2 (gpu/model_runner.py), DP (gpu/dp_utils.py), and Ray (executor/ray_utils.py) paths, plus pp_utils.py helper. gpu_model_runner.py wake-path markers (HOTPATH_FILE_RESTORE / CARRY_HOTPATH_ASSERTS): vllm-project#44778 _iter_kv_cache_tensors nested-container KV zeroing on wake vllm-project#45617 scale_specs calibrated FP8-KV scale restore on wake gpu_worker.py composition (carried forward from prior union; disjoint region from the hoist's execute_model edits, no adjacency conflict): vllm-project#45398 pluggable sleep-mode backend abstraction (_get_sleep_mode_backend, sleep->backend.suspend, wake_up->backend.resume; adds vllm/device_allocator/sleep_mode_backend.py + executor/abstract.py + config/model.py fields) vllm-project#45619 gate level-2 sleep buffer restore on the weights wake tag vllm-project#45620 do not crash sleep() on shared-GPU device-global free drop vllm-project#45612 cumem_tag PP-broadcast wake race: symmetric gloo wake handshake AUDIT-D composition assertions (verified, not just grepped): - wake_up dispatches backend.resume EXACTLY ONCE (needs_wake_sync if/else are mutually-exclusive branches); NO raw allocator.wake_up Block B double-wake. - the hoist consensus block precedes irecv_tensor_dict in Worker.execute_model. - runner does NOT self-issue the consensus all_reduce (hoist-correct). Tests: test_sleep_mode_backend, test_pp_cudagraph_consensus (V1 hoist), test_pp_cudagraph_consensus_v2 (V2 hoist), test_fp8_kv_scale_wake, test_gpu_model_runner_fp8_wake_up, test_gpu_worker_wake_barrier. cumem.py deliberately excluded (carried by separate FORK_CARRIED entries vllm-project#45615/vllm-project#45552); the load-bearing gloo wake handshake lives in gpu_worker.py. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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…lm-project#45610 HOIST f24612b] Single FULL-UNION fork-carry composing ALL wake-path changes onto one base (upstream/main), so the sync open-PR loop never has to apply mutually-adjacent wake-path hunks sequentially (honest-fact vllm-project#54 adjacency clobber). The wake-path PRs touch the SAME hunks; sequential -X-theirs drops them. This commit is the SOLE provider; the PRs (vllm-project#45610 vllm-project#45617 vllm-project#44778 vllm-project#45611 vllm-project#45565) are SKIPPED from the loop via PRECOMPILED_WHEEL_SKIP_PRS. *** vllm-project#45610 DECODE-WEDGE FIX RE-FOLDED: now carries the PP-consensus HOIST (PR vllm-project#45610 head f24612b), REPLACING the earlier pre-hoist gate variant (4d20740). The cudagraph-mode consensus all-reduce is hoisted out of the model runner's execute_model and into Worker.execute_model, issued BEFORE the inter-stage irecv_tensor_dict (gpu_worker.py). This eliminates the structural deadlock cycle that wedged TP2/PP2 at decode step 0 (PP0 ranks parked in coordinate_cudagraph_mode_ across_pp -> all_reduce while PP1 ranks parked in irecv gloo waitRecv). The model runner no longer self-issues the consensus all_reduce; it consumes the agreed value via the new pp_synced_cudagraph_mode kwarg. Applies to V1 (gpu_model_runner.py), V2 (gpu/model_runner.py), DP (gpu/dp_utils.py), and Ray (executor/ray_utils.py) paths, plus pp_utils.py helper. gpu_model_runner.py wake-path markers (HOTPATH_FILE_RESTORE / CARRY_HOTPATH_ASSERTS): vllm-project#44778 _iter_kv_cache_tensors nested-container KV zeroing on wake vllm-project#45617 scale_specs calibrated FP8-KV scale restore on wake gpu_worker.py composition (carried forward from prior union; disjoint region from the hoist's execute_model edits, no adjacency conflict): vllm-project#45398 pluggable sleep-mode backend abstraction (_get_sleep_mode_backend, sleep->backend.suspend, wake_up->backend.resume; adds vllm/device_allocator/sleep_mode_backend.py + executor/abstract.py + config/model.py fields) vllm-project#45619 gate level-2 sleep buffer restore on the weights wake tag vllm-project#45620 do not crash sleep() on shared-GPU device-global free drop vllm-project#45612 cumem_tag PP-broadcast wake race: symmetric gloo wake handshake AUDIT-D composition assertions (verified, not just grepped): - wake_up dispatches backend.resume EXACTLY ONCE (needs_wake_sync if/else are mutually-exclusive branches); NO raw allocator.wake_up Block B double-wake. - the hoist consensus block precedes irecv_tensor_dict in Worker.execute_model. - runner does NOT self-issue the consensus all_reduce (hoist-correct). Tests: test_sleep_mode_backend, test_pp_cudagraph_consensus (V1 hoist), test_pp_cudagraph_consensus_v2 (V2 hoist), test_fp8_kv_scale_wake, test_gpu_model_runner_fp8_wake_up, test_gpu_worker_wake_barrier. cumem.py deliberately excluded (carried by separate FORK_CARRIED entries vllm-project#45615/vllm-project#45552); the load-bearing gloo wake handshake lives in gpu_worker.py. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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…lm-project#45610 HOIST f24612b] Single FULL-UNION fork-carry composing ALL wake-path changes onto one base (upstream/main), so the sync open-PR loop never has to apply mutually-adjacent wake-path hunks sequentially (honest-fact vllm-project#54 adjacency clobber). The wake-path PRs touch the SAME hunks; sequential -X-theirs drops them. This commit is the SOLE provider; the PRs (vllm-project#45610 vllm-project#45617 vllm-project#44778 vllm-project#45611 vllm-project#45565) are SKIPPED from the loop via PRECOMPILED_WHEEL_SKIP_PRS. *** vllm-project#45610 DECODE-WEDGE FIX RE-FOLDED: now carries the PP-consensus HOIST (PR vllm-project#45610 head f24612b), REPLACING the earlier pre-hoist gate variant (4d20740). The cudagraph-mode consensus all-reduce is hoisted out of the model runner's execute_model and into Worker.execute_model, issued BEFORE the inter-stage irecv_tensor_dict (gpu_worker.py). This eliminates the structural deadlock cycle that wedged TP2/PP2 at decode step 0 (PP0 ranks parked in coordinate_cudagraph_mode_ across_pp -> all_reduce while PP1 ranks parked in irecv gloo waitRecv). The model runner no longer self-issues the consensus all_reduce; it consumes the agreed value via the new pp_synced_cudagraph_mode kwarg. Applies to V1 (gpu_model_runner.py), V2 (gpu/model_runner.py), DP (gpu/dp_utils.py), and Ray (executor/ray_utils.py) paths, plus pp_utils.py helper. gpu_model_runner.py wake-path markers (HOTPATH_FILE_RESTORE / CARRY_HOTPATH_ASSERTS): vllm-project#44778 _iter_kv_cache_tensors nested-container KV zeroing on wake vllm-project#45617 scale_specs calibrated FP8-KV scale restore on wake gpu_worker.py composition (carried forward from prior union; disjoint region from the hoist's execute_model edits, no adjacency conflict): vllm-project#45398 pluggable sleep-mode backend abstraction (_get_sleep_mode_backend, sleep->backend.suspend, wake_up->backend.resume; adds vllm/device_allocator/sleep_mode_backend.py + executor/abstract.py + config/model.py fields) vllm-project#45619 gate level-2 sleep buffer restore on the weights wake tag vllm-project#45620 do not crash sleep() on shared-GPU device-global free drop vllm-project#45612 cumem_tag PP-broadcast wake race: symmetric gloo wake handshake AUDIT-D composition assertions (verified, not just grepped): - wake_up dispatches backend.resume EXACTLY ONCE (needs_wake_sync if/else are mutually-exclusive branches); NO raw allocator.wake_up Block B double-wake. - the hoist consensus block precedes irecv_tensor_dict in Worker.execute_model. - runner does NOT self-issue the consensus all_reduce (hoist-correct). Tests: test_sleep_mode_backend, test_pp_cudagraph_consensus (V1 hoist), test_pp_cudagraph_consensus_v2 (V2 hoist), test_fp8_kv_scale_wake, test_gpu_model_runner_fp8_wake_up, test_gpu_worker_wake_barrier. cumem.py deliberately excluded (carried by separate FORK_CARRIED entries vllm-project#45615/vllm-project#45552); the load-bearing gloo wake handshake lives in gpu_worker.py. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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…lm-project#45610 HOIST f24612b] Single FULL-UNION fork-carry composing ALL wake-path changes onto one base (upstream/main), so the sync open-PR loop never has to apply mutually-adjacent wake-path hunks sequentially (honest-fact vllm-project#54 adjacency clobber). The wake-path PRs touch the SAME hunks; sequential -X-theirs drops them. This commit is the SOLE provider; the PRs (vllm-project#45610 vllm-project#45617 vllm-project#44778 vllm-project#45611 vllm-project#45565) are SKIPPED from the loop via PRECOMPILED_WHEEL_SKIP_PRS. *** vllm-project#45610 DECODE-WEDGE FIX RE-FOLDED: now carries the PP-consensus HOIST (PR vllm-project#45610 head f24612b), REPLACING the earlier pre-hoist gate variant (4d20740). The cudagraph-mode consensus all-reduce is hoisted out of the model runner's execute_model and into Worker.execute_model, issued BEFORE the inter-stage irecv_tensor_dict (gpu_worker.py). This eliminates the structural deadlock cycle that wedged TP2/PP2 at decode step 0 (PP0 ranks parked in coordinate_cudagraph_mode_ across_pp -> all_reduce while PP1 ranks parked in irecv gloo waitRecv). The model runner no longer self-issues the consensus all_reduce; it consumes the agreed value via the new pp_synced_cudagraph_mode kwarg. Applies to V1 (gpu_model_runner.py), V2 (gpu/model_runner.py), DP (gpu/dp_utils.py), and Ray (executor/ray_utils.py) paths, plus pp_utils.py helper. gpu_model_runner.py wake-path markers (HOTPATH_FILE_RESTORE / CARRY_HOTPATH_ASSERTS): vllm-project#44778 _iter_kv_cache_tensors nested-container KV zeroing on wake vllm-project#45617 scale_specs calibrated FP8-KV scale restore on wake gpu_worker.py composition (carried forward from prior union; disjoint region from the hoist's execute_model edits, no adjacency conflict): vllm-project#45398 pluggable sleep-mode backend abstraction (_get_sleep_mode_backend, sleep->backend.suspend, wake_up->backend.resume; adds vllm/device_allocator/sleep_mode_backend.py + executor/abstract.py + config/model.py fields) vllm-project#45619 gate level-2 sleep buffer restore on the weights wake tag vllm-project#45620 do not crash sleep() on shared-GPU device-global free drop vllm-project#45612 cumem_tag PP-broadcast wake race: symmetric gloo wake handshake AUDIT-D composition assertions (verified, not just grepped): - wake_up dispatches backend.resume EXACTLY ONCE (needs_wake_sync if/else are mutually-exclusive branches); NO raw allocator.wake_up Block B double-wake. - the hoist consensus block precedes irecv_tensor_dict in Worker.execute_model. - runner does NOT self-issue the consensus all_reduce (hoist-correct). Tests: test_sleep_mode_backend, test_pp_cudagraph_consensus (V1 hoist), test_pp_cudagraph_consensus_v2 (V2 hoist), test_fp8_kv_scale_wake, test_gpu_model_runner_fp8_wake_up, test_gpu_worker_wake_barrier. cumem.py deliberately excluded (carried by separate FORK_CARRIED entries vllm-project#45615/vllm-project#45552); the load-bearing gloo wake handshake lives in gpu_worker.py. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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…lm-project#45610 HOIST f24612b] Single FULL-UNION fork-carry composing ALL wake-path changes onto one base (upstream/main), so the sync open-PR loop never has to apply mutually-adjacent wake-path hunks sequentially (honest-fact vllm-project#54 adjacency clobber). The wake-path PRs touch the SAME hunks; sequential -X-theirs drops them. This commit is the SOLE provider; the PRs (vllm-project#45610 vllm-project#45617 vllm-project#44778 vllm-project#45611 vllm-project#45565) are SKIPPED from the loop via PRECOMPILED_WHEEL_SKIP_PRS. *** vllm-project#45610 DECODE-WEDGE FIX RE-FOLDED: now carries the PP-consensus HOIST (PR vllm-project#45610 head f24612b), REPLACING the earlier pre-hoist gate variant (4d20740). The cudagraph-mode consensus all-reduce is hoisted out of the model runner's execute_model and into Worker.execute_model, issued BEFORE the inter-stage irecv_tensor_dict (gpu_worker.py). This eliminates the structural deadlock cycle that wedged TP2/PP2 at decode step 0 (PP0 ranks parked in coordinate_cudagraph_mode_ across_pp -> all_reduce while PP1 ranks parked in irecv gloo waitRecv). The model runner no longer self-issues the consensus all_reduce; it consumes the agreed value via the new pp_synced_cudagraph_mode kwarg. Applies to V1 (gpu_model_runner.py), V2 (gpu/model_runner.py), DP (gpu/dp_utils.py), and Ray (executor/ray_utils.py) paths, plus pp_utils.py helper. gpu_model_runner.py wake-path markers (HOTPATH_FILE_RESTORE / CARRY_HOTPATH_ASSERTS): vllm-project#44778 _iter_kv_cache_tensors nested-container KV zeroing on wake vllm-project#45617 scale_specs calibrated FP8-KV scale restore on wake gpu_worker.py composition (carried forward from prior union; disjoint region from the hoist's execute_model edits, no adjacency conflict): vllm-project#45398 pluggable sleep-mode backend abstraction (_get_sleep_mode_backend, sleep->backend.suspend, wake_up->backend.resume; adds vllm/device_allocator/sleep_mode_backend.py + executor/abstract.py + config/model.py fields) vllm-project#45619 gate level-2 sleep buffer restore on the weights wake tag vllm-project#45620 do not crash sleep() on shared-GPU device-global free drop vllm-project#45612 cumem_tag PP-broadcast wake race: symmetric gloo wake handshake AUDIT-D composition assertions (verified, not just grepped): - wake_up dispatches backend.resume EXACTLY ONCE (needs_wake_sync if/else are mutually-exclusive branches); NO raw allocator.wake_up Block B double-wake. - the hoist consensus block precedes irecv_tensor_dict in Worker.execute_model. - runner does NOT self-issue the consensus all_reduce (hoist-correct). Tests: test_sleep_mode_backend, test_pp_cudagraph_consensus (V1 hoist), test_pp_cudagraph_consensus_v2 (V2 hoist), test_fp8_kv_scale_wake, test_gpu_model_runner_fp8_wake_up, test_gpu_worker_wake_barrier. cumem.py deliberately excluded (carried by separate FORK_CARRIED entries vllm-project#45615/vllm-project#45552); the load-bearing gloo wake handshake lives in gpu_worker.py. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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…lm-project#45610 HOIST f24612b] Single FULL-UNION fork-carry composing ALL wake-path changes onto one base (upstream/main), so the sync open-PR loop never has to apply mutually-adjacent wake-path hunks sequentially (honest-fact vllm-project#54 adjacency clobber). The wake-path PRs touch the SAME hunks; sequential -X-theirs drops them. This commit is the SOLE provider; the PRs (vllm-project#45610 vllm-project#45617 vllm-project#44778 vllm-project#45611 vllm-project#45565) are SKIPPED from the loop via PRECOMPILED_WHEEL_SKIP_PRS. *** vllm-project#45610 DECODE-WEDGE FIX RE-FOLDED: now carries the PP-consensus HOIST (PR vllm-project#45610 head f24612b), REPLACING the earlier pre-hoist gate variant (4d20740). The cudagraph-mode consensus all-reduce is hoisted out of the model runner's execute_model and into Worker.execute_model, issued BEFORE the inter-stage irecv_tensor_dict (gpu_worker.py). This eliminates the structural deadlock cycle that wedged TP2/PP2 at decode step 0 (PP0 ranks parked in coordinate_cudagraph_mode_ across_pp -> all_reduce while PP1 ranks parked in irecv gloo waitRecv). The model runner no longer self-issues the consensus all_reduce; it consumes the agreed value via the new pp_synced_cudagraph_mode kwarg. Applies to V1 (gpu_model_runner.py), V2 (gpu/model_runner.py), DP (gpu/dp_utils.py), and Ray (executor/ray_utils.py) paths, plus pp_utils.py helper. gpu_model_runner.py wake-path markers (HOTPATH_FILE_RESTORE / CARRY_HOTPATH_ASSERTS): vllm-project#44778 _iter_kv_cache_tensors nested-container KV zeroing on wake vllm-project#45617 scale_specs calibrated FP8-KV scale restore on wake gpu_worker.py composition (carried forward from prior union; disjoint region from the hoist's execute_model edits, no adjacency conflict): vllm-project#45398 pluggable sleep-mode backend abstraction (_get_sleep_mode_backend, sleep->backend.suspend, wake_up->backend.resume; adds vllm/device_allocator/sleep_mode_backend.py + executor/abstract.py + config/model.py fields) vllm-project#45619 gate level-2 sleep buffer restore on the weights wake tag vllm-project#45620 do not crash sleep() on shared-GPU device-global free drop vllm-project#45612 cumem_tag PP-broadcast wake race: symmetric gloo wake handshake AUDIT-D composition assertions (verified, not just grepped): - wake_up dispatches backend.resume EXACTLY ONCE (needs_wake_sync if/else are mutually-exclusive branches); NO raw allocator.wake_up Block B double-wake. - the hoist consensus block precedes irecv_tensor_dict in Worker.execute_model. - runner does NOT self-issue the consensus all_reduce (hoist-correct). Tests: test_sleep_mode_backend, test_pp_cudagraph_consensus (V1 hoist), test_pp_cudagraph_consensus_v2 (V2 hoist), test_fp8_kv_scale_wake, test_gpu_model_runner_fp8_wake_up, test_gpu_worker_wake_barrier. cumem.py deliberately excluded (carried by separate FORK_CARRIED entries vllm-project#45615/vllm-project#45552); the load-bearing gloo wake handshake lives in gpu_worker.py. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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…lm-project#45610 HOIST f24612b] Single FULL-UNION fork-carry composing ALL wake-path changes onto one base (upstream/main), so the sync open-PR loop never has to apply mutually-adjacent wake-path hunks sequentially (honest-fact vllm-project#54 adjacency clobber). The wake-path PRs touch the SAME hunks; sequential -X-theirs drops them. This commit is the SOLE provider; the PRs (vllm-project#45610 vllm-project#45617 vllm-project#44778 vllm-project#45611 vllm-project#45565) are SKIPPED from the loop via PRECOMPILED_WHEEL_SKIP_PRS. *** vllm-project#45610 DECODE-WEDGE FIX RE-FOLDED: now carries the PP-consensus HOIST (PR vllm-project#45610 head f24612b), REPLACING the earlier pre-hoist gate variant (4d20740). The cudagraph-mode consensus all-reduce is hoisted out of the model runner's execute_model and into Worker.execute_model, issued BEFORE the inter-stage irecv_tensor_dict (gpu_worker.py). This eliminates the structural deadlock cycle that wedged TP2/PP2 at decode step 0 (PP0 ranks parked in coordinate_cudagraph_mode_ across_pp -> all_reduce while PP1 ranks parked in irecv gloo waitRecv). The model runner no longer self-issues the consensus all_reduce; it consumes the agreed value via the new pp_synced_cudagraph_mode kwarg. Applies to V1 (gpu_model_runner.py), V2 (gpu/model_runner.py), DP (gpu/dp_utils.py), and Ray (executor/ray_utils.py) paths, plus pp_utils.py helper. gpu_model_runner.py wake-path markers (HOTPATH_FILE_RESTORE / CARRY_HOTPATH_ASSERTS): vllm-project#44778 _iter_kv_cache_tensors nested-container KV zeroing on wake vllm-project#45617 scale_specs calibrated FP8-KV scale restore on wake gpu_worker.py composition (carried forward from prior union; disjoint region from the hoist's execute_model edits, no adjacency conflict): vllm-project#45398 pluggable sleep-mode backend abstraction (_get_sleep_mode_backend, sleep->backend.suspend, wake_up->backend.resume; adds vllm/device_allocator/sleep_mode_backend.py + executor/abstract.py + config/model.py fields) vllm-project#45619 gate level-2 sleep buffer restore on the weights wake tag vllm-project#45620 do not crash sleep() on shared-GPU device-global free drop vllm-project#45612 cumem_tag PP-broadcast wake race: symmetric gloo wake handshake AUDIT-D composition assertions (verified, not just grepped): - wake_up dispatches backend.resume EXACTLY ONCE (needs_wake_sync if/else are mutually-exclusive branches); NO raw allocator.wake_up Block B double-wake. - the hoist consensus block precedes irecv_tensor_dict in Worker.execute_model. - runner does NOT self-issue the consensus all_reduce (hoist-correct). Tests: test_sleep_mode_backend, test_pp_cudagraph_consensus (V1 hoist), test_pp_cudagraph_consensus_v2 (V2 hoist), test_fp8_kv_scale_wake, test_gpu_model_runner_fp8_wake_up, test_gpu_worker_wake_barrier. cumem.py deliberately excluded (carried by separate FORK_CARRIED entries vllm-project#45615/vllm-project#45552); the load-bearing gloo wake handshake lives in gpu_worker.py. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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…lm-project#45610 HOIST f24612b] Single FULL-UNION fork-carry composing ALL wake-path changes onto one base (upstream/main), so the sync open-PR loop never has to apply mutually-adjacent wake-path hunks sequentially (honest-fact vllm-project#54 adjacency clobber). The wake-path PRs touch the SAME hunks; sequential -X-theirs drops them. This commit is the SOLE provider; the PRs (vllm-project#45610 vllm-project#45617 vllm-project#44778 vllm-project#45611 vllm-project#45565) are SKIPPED from the loop via PRECOMPILED_WHEEL_SKIP_PRS. *** vllm-project#45610 DECODE-WEDGE FIX RE-FOLDED: now carries the PP-consensus HOIST (PR vllm-project#45610 head f24612b), REPLACING the earlier pre-hoist gate variant (4d20740). The cudagraph-mode consensus all-reduce is hoisted out of the model runner's execute_model and into Worker.execute_model, issued BEFORE the inter-stage irecv_tensor_dict (gpu_worker.py). This eliminates the structural deadlock cycle that wedged TP2/PP2 at decode step 0 (PP0 ranks parked in coordinate_cudagraph_mode_ across_pp -> all_reduce while PP1 ranks parked in irecv gloo waitRecv). The model runner no longer self-issues the consensus all_reduce; it consumes the agreed value via the new pp_synced_cudagraph_mode kwarg. Applies to V1 (gpu_model_runner.py), V2 (gpu/model_runner.py), DP (gpu/dp_utils.py), and Ray (executor/ray_utils.py) paths, plus pp_utils.py helper. gpu_model_runner.py wake-path markers (HOTPATH_FILE_RESTORE / CARRY_HOTPATH_ASSERTS): vllm-project#44778 _iter_kv_cache_tensors nested-container KV zeroing on wake vllm-project#45617 scale_specs calibrated FP8-KV scale restore on wake gpu_worker.py composition (carried forward from prior union; disjoint region from the hoist's execute_model edits, no adjacency conflict): vllm-project#45398 pluggable sleep-mode backend abstraction (_get_sleep_mode_backend, sleep->backend.suspend, wake_up->backend.resume; adds vllm/device_allocator/sleep_mode_backend.py + executor/abstract.py + config/model.py fields) vllm-project#45619 gate level-2 sleep buffer restore on the weights wake tag vllm-project#45620 do not crash sleep() on shared-GPU device-global free drop vllm-project#45612 cumem_tag PP-broadcast wake race: symmetric gloo wake handshake AUDIT-D composition assertions (verified, not just grepped): - wake_up dispatches backend.resume EXACTLY ONCE (needs_wake_sync if/else are mutually-exclusive branches); NO raw allocator.wake_up Block B double-wake. - the hoist consensus block precedes irecv_tensor_dict in Worker.execute_model. - runner does NOT self-issue the consensus all_reduce (hoist-correct). Tests: test_sleep_mode_backend, test_pp_cudagraph_consensus (V1 hoist), test_pp_cudagraph_consensus_v2 (V2 hoist), test_fp8_kv_scale_wake, test_gpu_model_runner_fp8_wake_up, test_gpu_worker_wake_barrier. cumem.py deliberately excluded (carried by separate FORK_CARRIED entries vllm-project#45615/vllm-project#45552); the load-bearing gloo wake handshake lives in gpu_worker.py. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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…lm-project#45610 HOIST f24612b] Single FULL-UNION fork-carry composing ALL wake-path changes onto one base (upstream/main), so the sync open-PR loop never has to apply mutually-adjacent wake-path hunks sequentially (honest-fact vllm-project#54 adjacency clobber). The wake-path PRs touch the SAME hunks; sequential -X-theirs drops them. This commit is the SOLE provider; the PRs (vllm-project#45610 vllm-project#45617 vllm-project#44778 vllm-project#45611 vllm-project#45565) are SKIPPED from the loop via PRECOMPILED_WHEEL_SKIP_PRS. *** vllm-project#45610 DECODE-WEDGE FIX RE-FOLDED: now carries the PP-consensus HOIST (PR vllm-project#45610 head f24612b), REPLACING the earlier pre-hoist gate variant (4d20740). The cudagraph-mode consensus all-reduce is hoisted out of the model runner's execute_model and into Worker.execute_model, issued BEFORE the inter-stage irecv_tensor_dict (gpu_worker.py). This eliminates the structural deadlock cycle that wedged TP2/PP2 at decode step 0 (PP0 ranks parked in coordinate_cudagraph_mode_ across_pp -> all_reduce while PP1 ranks parked in irecv gloo waitRecv). The model runner no longer self-issues the consensus all_reduce; it consumes the agreed value via the new pp_synced_cudagraph_mode kwarg. Applies to V1 (gpu_model_runner.py), V2 (gpu/model_runner.py), DP (gpu/dp_utils.py), and Ray (executor/ray_utils.py) paths, plus pp_utils.py helper. gpu_model_runner.py wake-path markers (HOTPATH_FILE_RESTORE / CARRY_HOTPATH_ASSERTS): vllm-project#44778 _iter_kv_cache_tensors nested-container KV zeroing on wake vllm-project#45617 scale_specs calibrated FP8-KV scale restore on wake gpu_worker.py composition (carried forward from prior union; disjoint region from the hoist's execute_model edits, no adjacency conflict): vllm-project#45398 pluggable sleep-mode backend abstraction (_get_sleep_mode_backend, sleep->backend.suspend, wake_up->backend.resume; adds vllm/device_allocator/sleep_mode_backend.py + executor/abstract.py + config/model.py fields) vllm-project#45619 gate level-2 sleep buffer restore on the weights wake tag vllm-project#45620 do not crash sleep() on shared-GPU device-global free drop vllm-project#45612 cumem_tag PP-broadcast wake race: symmetric gloo wake handshake AUDIT-D composition assertions (verified, not just grepped): - wake_up dispatches backend.resume EXACTLY ONCE (needs_wake_sync if/else are mutually-exclusive branches); NO raw allocator.wake_up Block B double-wake. - the hoist consensus block precedes irecv_tensor_dict in Worker.execute_model. - runner does NOT self-issue the consensus all_reduce (hoist-correct). Tests: test_sleep_mode_backend, test_pp_cudagraph_consensus (V1 hoist), test_pp_cudagraph_consensus_v2 (V2 hoist), test_fp8_kv_scale_wake, test_gpu_model_runner_fp8_wake_up, test_gpu_worker_wake_barrier. cumem.py deliberately excluded (carried by separate FORK_CARRIED entries vllm-project#45615/vllm-project#45552); the load-bearing gloo wake handshake lives in gpu_worker.py. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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…lm-project#45610 HOIST f24612b] Single FULL-UNION fork-carry composing ALL wake-path changes onto one base (upstream/main), so the sync open-PR loop never has to apply mutually-adjacent wake-path hunks sequentially (honest-fact vllm-project#54 adjacency clobber). The wake-path PRs touch the SAME hunks; sequential -X-theirs drops them. This commit is the SOLE provider; the PRs (vllm-project#45610 vllm-project#45617 vllm-project#44778 vllm-project#45611 vllm-project#45565) are SKIPPED from the loop via PRECOMPILED_WHEEL_SKIP_PRS. *** vllm-project#45610 DECODE-WEDGE FIX RE-FOLDED: now carries the PP-consensus HOIST (PR vllm-project#45610 head f24612b), REPLACING the earlier pre-hoist gate variant (4d20740). The cudagraph-mode consensus all-reduce is hoisted out of the model runner's execute_model and into Worker.execute_model, issued BEFORE the inter-stage irecv_tensor_dict (gpu_worker.py). This eliminates the structural deadlock cycle that wedged TP2/PP2 at decode step 0 (PP0 ranks parked in coordinate_cudagraph_mode_ across_pp -> all_reduce while PP1 ranks parked in irecv gloo waitRecv). The model runner no longer self-issues the consensus all_reduce; it consumes the agreed value via the new pp_synced_cudagraph_mode kwarg. Applies to V1 (gpu_model_runner.py), V2 (gpu/model_runner.py), DP (gpu/dp_utils.py), and Ray (executor/ray_utils.py) paths, plus pp_utils.py helper. gpu_model_runner.py wake-path markers (HOTPATH_FILE_RESTORE / CARRY_HOTPATH_ASSERTS): vllm-project#44778 _iter_kv_cache_tensors nested-container KV zeroing on wake vllm-project#45617 scale_specs calibrated FP8-KV scale restore on wake gpu_worker.py composition (carried forward from prior union; disjoint region from the hoist's execute_model edits, no adjacency conflict): vllm-project#45398 pluggable sleep-mode backend abstraction (_get_sleep_mode_backend, sleep->backend.suspend, wake_up->backend.resume; adds vllm/device_allocator/sleep_mode_backend.py + executor/abstract.py + config/model.py fields) vllm-project#45619 gate level-2 sleep buffer restore on the weights wake tag vllm-project#45620 do not crash sleep() on shared-GPU device-global free drop vllm-project#45612 cumem_tag PP-broadcast wake race: symmetric gloo wake handshake AUDIT-D composition assertions (verified, not just grepped): - wake_up dispatches backend.resume EXACTLY ONCE (needs_wake_sync if/else are mutually-exclusive branches); NO raw allocator.wake_up Block B double-wake. - the hoist consensus block precedes irecv_tensor_dict in Worker.execute_model. - runner does NOT self-issue the consensus all_reduce (hoist-correct). Tests: test_sleep_mode_backend, test_pp_cudagraph_consensus (V1 hoist), test_pp_cudagraph_consensus_v2 (V2 hoist), test_fp8_kv_scale_wake, test_gpu_model_runner_fp8_wake_up, test_gpu_worker_wake_barrier. cumem.py deliberately excluded (carried by separate FORK_CARRIED entries vllm-project#45615/vllm-project#45552); the load-bearing gloo wake handshake lives in gpu_worker.py. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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…lm-project#45610 HOIST f24612b] Single FULL-UNION fork-carry composing ALL wake-path changes onto one base (upstream/main), so the sync open-PR loop never has to apply mutually-adjacent wake-path hunks sequentially (honest-fact vllm-project#54 adjacency clobber). The wake-path PRs touch the SAME hunks; sequential -X-theirs drops them. This commit is the SOLE provider; the PRs (vllm-project#45610 vllm-project#45617 vllm-project#44778 vllm-project#45611 vllm-project#45565) are SKIPPED from the loop via PRECOMPILED_WHEEL_SKIP_PRS. *** vllm-project#45610 DECODE-WEDGE FIX RE-FOLDED: now carries the PP-consensus HOIST (PR vllm-project#45610 head f24612b), REPLACING the earlier pre-hoist gate variant (4d20740). The cudagraph-mode consensus all-reduce is hoisted out of the model runner's execute_model and into Worker.execute_model, issued BEFORE the inter-stage irecv_tensor_dict (gpu_worker.py). This eliminates the structural deadlock cycle that wedged TP2/PP2 at decode step 0 (PP0 ranks parked in coordinate_cudagraph_mode_ across_pp -> all_reduce while PP1 ranks parked in irecv gloo waitRecv). The model runner no longer self-issues the consensus all_reduce; it consumes the agreed value via the new pp_synced_cudagraph_mode kwarg. Applies to V1 (gpu_model_runner.py), V2 (gpu/model_runner.py), DP (gpu/dp_utils.py), and Ray (executor/ray_utils.py) paths, plus pp_utils.py helper. gpu_model_runner.py wake-path markers (HOTPATH_FILE_RESTORE / CARRY_HOTPATH_ASSERTS): vllm-project#44778 _iter_kv_cache_tensors nested-container KV zeroing on wake vllm-project#45617 scale_specs calibrated FP8-KV scale restore on wake gpu_worker.py composition (carried forward from prior union; disjoint region from the hoist's execute_model edits, no adjacency conflict): vllm-project#45398 pluggable sleep-mode backend abstraction (_get_sleep_mode_backend, sleep->backend.suspend, wake_up->backend.resume; adds vllm/device_allocator/sleep_mode_backend.py + executor/abstract.py + config/model.py fields) vllm-project#45619 gate level-2 sleep buffer restore on the weights wake tag vllm-project#45620 do not crash sleep() on shared-GPU device-global free drop vllm-project#45612 cumem_tag PP-broadcast wake race: symmetric gloo wake handshake AUDIT-D composition assertions (verified, not just grepped): - wake_up dispatches backend.resume EXACTLY ONCE (needs_wake_sync if/else are mutually-exclusive branches); NO raw allocator.wake_up Block B double-wake. - the hoist consensus block precedes irecv_tensor_dict in Worker.execute_model. - runner does NOT self-issue the consensus all_reduce (hoist-correct). Tests: test_sleep_mode_backend, test_pp_cudagraph_consensus (V1 hoist), test_pp_cudagraph_consensus_v2 (V2 hoist), test_fp8_kv_scale_wake, test_gpu_model_runner_fp8_wake_up, test_gpu_worker_wake_barrier. cumem.py deliberately excluded (carried by separate FORK_CARRIED entries vllm-project#45615/vllm-project#45552); the load-bearing gloo wake handshake lives in gpu_worker.py. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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…lm-project#45610 HOIST f24612b] Single FULL-UNION fork-carry composing ALL wake-path changes onto one base (upstream/main), so the sync open-PR loop never has to apply mutually-adjacent wake-path hunks sequentially (honest-fact vllm-project#54 adjacency clobber). The wake-path PRs touch the SAME hunks; sequential -X-theirs drops them. This commit is the SOLE provider; the PRs (vllm-project#45610 vllm-project#45617 vllm-project#44778 vllm-project#45611 vllm-project#45565) are SKIPPED from the loop via PRECOMPILED_WHEEL_SKIP_PRS. *** vllm-project#45610 DECODE-WEDGE FIX RE-FOLDED: now carries the PP-consensus HOIST (PR vllm-project#45610 head f24612b), REPLACING the earlier pre-hoist gate variant (4d20740). The cudagraph-mode consensus all-reduce is hoisted out of the model runner's execute_model and into Worker.execute_model, issued BEFORE the inter-stage irecv_tensor_dict (gpu_worker.py). This eliminates the structural deadlock cycle that wedged TP2/PP2 at decode step 0 (PP0 ranks parked in coordinate_cudagraph_mode_ across_pp -> all_reduce while PP1 ranks parked in irecv gloo waitRecv). The model runner no longer self-issues the consensus all_reduce; it consumes the agreed value via the new pp_synced_cudagraph_mode kwarg. Applies to V1 (gpu_model_runner.py), V2 (gpu/model_runner.py), DP (gpu/dp_utils.py), and Ray (executor/ray_utils.py) paths, plus pp_utils.py helper. gpu_model_runner.py wake-path markers (HOTPATH_FILE_RESTORE / CARRY_HOTPATH_ASSERTS): vllm-project#44778 _iter_kv_cache_tensors nested-container KV zeroing on wake vllm-project#45617 scale_specs calibrated FP8-KV scale restore on wake gpu_worker.py composition (carried forward from prior union; disjoint region from the hoist's execute_model edits, no adjacency conflict): vllm-project#45398 pluggable sleep-mode backend abstraction (_get_sleep_mode_backend, sleep->backend.suspend, wake_up->backend.resume; adds vllm/device_allocator/sleep_mode_backend.py + executor/abstract.py + config/model.py fields) vllm-project#45619 gate level-2 sleep buffer restore on the weights wake tag vllm-project#45620 do not crash sleep() on shared-GPU device-global free drop vllm-project#45612 cumem_tag PP-broadcast wake race: symmetric gloo wake handshake AUDIT-D composition assertions (verified, not just grepped): - wake_up dispatches backend.resume EXACTLY ONCE (needs_wake_sync if/else are mutually-exclusive branches); NO raw allocator.wake_up Block B double-wake. - the hoist consensus block precedes irecv_tensor_dict in Worker.execute_model. - runner does NOT self-issue the consensus all_reduce (hoist-correct). Tests: test_sleep_mode_backend, test_pp_cudagraph_consensus (V1 hoist), test_pp_cudagraph_consensus_v2 (V2 hoist), test_fp8_kv_scale_wake, test_gpu_model_runner_fp8_wake_up, test_gpu_worker_wake_barrier. cumem.py deliberately excluded (carried by separate FORK_CARRIED entries vllm-project#45615/vllm-project#45552); the load-bearing gloo wake handshake lives in gpu_worker.py. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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…lm-project#45610 HOIST f24612b] Single FULL-UNION fork-carry composing ALL wake-path changes onto one base (upstream/main), so the sync open-PR loop never has to apply mutually-adjacent wake-path hunks sequentially (honest-fact vllm-project#54 adjacency clobber). The wake-path PRs touch the SAME hunks; sequential -X-theirs drops them. This commit is the SOLE provider; the PRs (vllm-project#45610 vllm-project#45617 vllm-project#44778 vllm-project#45611 vllm-project#45565) are SKIPPED from the loop via PRECOMPILED_WHEEL_SKIP_PRS. *** vllm-project#45610 DECODE-WEDGE FIX RE-FOLDED: now carries the PP-consensus HOIST (PR vllm-project#45610 head f24612b), REPLACING the earlier pre-hoist gate variant (4d20740). The cudagraph-mode consensus all-reduce is hoisted out of the model runner's execute_model and into Worker.execute_model, issued BEFORE the inter-stage irecv_tensor_dict (gpu_worker.py). This eliminates the structural deadlock cycle that wedged TP2/PP2 at decode step 0 (PP0 ranks parked in coordinate_cudagraph_mode_ across_pp -> all_reduce while PP1 ranks parked in irecv gloo waitRecv). The model runner no longer self-issues the consensus all_reduce; it consumes the agreed value via the new pp_synced_cudagraph_mode kwarg. Applies to V1 (gpu_model_runner.py), V2 (gpu/model_runner.py), DP (gpu/dp_utils.py), and Ray (executor/ray_utils.py) paths, plus pp_utils.py helper. gpu_model_runner.py wake-path markers (HOTPATH_FILE_RESTORE / CARRY_HOTPATH_ASSERTS): vllm-project#44778 _iter_kv_cache_tensors nested-container KV zeroing on wake vllm-project#45617 scale_specs calibrated FP8-KV scale restore on wake gpu_worker.py composition (carried forward from prior union; disjoint region from the hoist's execute_model edits, no adjacency conflict): vllm-project#45398 pluggable sleep-mode backend abstraction (_get_sleep_mode_backend, sleep->backend.suspend, wake_up->backend.resume; adds vllm/device_allocator/sleep_mode_backend.py + executor/abstract.py + config/model.py fields) vllm-project#45619 gate level-2 sleep buffer restore on the weights wake tag vllm-project#45620 do not crash sleep() on shared-GPU device-global free drop vllm-project#45612 cumem_tag PP-broadcast wake race: symmetric gloo wake handshake AUDIT-D composition assertions (verified, not just grepped): - wake_up dispatches backend.resume EXACTLY ONCE (needs_wake_sync if/else are mutually-exclusive branches); NO raw allocator.wake_up Block B double-wake. - the hoist consensus block precedes irecv_tensor_dict in Worker.execute_model. - runner does NOT self-issue the consensus all_reduce (hoist-correct). Tests: test_sleep_mode_backend, test_pp_cudagraph_consensus (V1 hoist), test_pp_cudagraph_consensus_v2 (V2 hoist), test_fp8_kv_scale_wake, test_gpu_model_runner_fp8_wake_up, test_gpu_worker_wake_barrier. cumem.py deliberately excluded (carried by separate FORK_CARRIED entries vllm-project#45615/vllm-project#45552); the load-bearing gloo wake handshake lives in gpu_worker.py. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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…lm-project#45610 HOIST f24612b] Single FULL-UNION fork-carry composing ALL wake-path changes onto one base (upstream/main), so the sync open-PR loop never has to apply mutually-adjacent wake-path hunks sequentially (honest-fact vllm-project#54 adjacency clobber). The wake-path PRs touch the SAME hunks; sequential -X-theirs drops them. This commit is the SOLE provider; the PRs (vllm-project#45610 vllm-project#45617 vllm-project#44778 vllm-project#45611 vllm-project#45565) are SKIPPED from the loop via PRECOMPILED_WHEEL_SKIP_PRS. *** vllm-project#45610 DECODE-WEDGE FIX RE-FOLDED: now carries the PP-consensus HOIST (PR vllm-project#45610 head f24612b), REPLACING the earlier pre-hoist gate variant (4d20740). The cudagraph-mode consensus all-reduce is hoisted out of the model runner's execute_model and into Worker.execute_model, issued BEFORE the inter-stage irecv_tensor_dict (gpu_worker.py). This eliminates the structural deadlock cycle that wedged TP2/PP2 at decode step 0 (PP0 ranks parked in coordinate_cudagraph_mode_ across_pp -> all_reduce while PP1 ranks parked in irecv gloo waitRecv). The model runner no longer self-issues the consensus all_reduce; it consumes the agreed value via the new pp_synced_cudagraph_mode kwarg. Applies to V1 (gpu_model_runner.py), V2 (gpu/model_runner.py), DP (gpu/dp_utils.py), and Ray (executor/ray_utils.py) paths, plus pp_utils.py helper. gpu_model_runner.py wake-path markers (HOTPATH_FILE_RESTORE / CARRY_HOTPATH_ASSERTS): vllm-project#44778 _iter_kv_cache_tensors nested-container KV zeroing on wake vllm-project#45617 scale_specs calibrated FP8-KV scale restore on wake gpu_worker.py composition (carried forward from prior union; disjoint region from the hoist's execute_model edits, no adjacency conflict): vllm-project#45398 pluggable sleep-mode backend abstraction (_get_sleep_mode_backend, sleep->backend.suspend, wake_up->backend.resume; adds vllm/device_allocator/sleep_mode_backend.py + executor/abstract.py + config/model.py fields) vllm-project#45619 gate level-2 sleep buffer restore on the weights wake tag vllm-project#45620 do not crash sleep() on shared-GPU device-global free drop vllm-project#45612 cumem_tag PP-broadcast wake race: symmetric gloo wake handshake AUDIT-D composition assertions (verified, not just grepped): - wake_up dispatches backend.resume EXACTLY ONCE (needs_wake_sync if/else are mutually-exclusive branches); NO raw allocator.wake_up Block B double-wake. - the hoist consensus block precedes irecv_tensor_dict in Worker.execute_model. - runner does NOT self-issue the consensus all_reduce (hoist-correct). Tests: test_sleep_mode_backend, test_pp_cudagraph_consensus (V1 hoist), test_pp_cudagraph_consensus_v2 (V2 hoist), test_fp8_kv_scale_wake, test_gpu_model_runner_fp8_wake_up, test_gpu_worker_wake_barrier. cumem.py deliberately excluded (carried by separate FORK_CARRIED entries vllm-project#45615/vllm-project#45552); the load-bearing gloo wake handshake lives in gpu_worker.py. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Worker.wake_up restored the buffers saved before a level-2 sleep whenever self._sleep_saved_buffers was non-empty, regardless of the requested wake tags. Model buffers are allocated under the "weights" tag (load_model runs under the weights memory pool), so their CUDA virtual addresses are only re-mapped once the allocator wakes that tag. On a partial wake that does not include "weights" (e.g. wake_up(["kv_cache"])), the restore loop ran buffer.data.copy_(saved) into a still-unmapped VA, raising CUDA_ERROR_ILLEGAL_ADDRESS, and then cleared _sleep_saved_buffers so a subsequent weights wake never restored them. This was inconsistent with the post_kv_cache_wake_up call below, which is already tag-gated. Gate the restore on `tags is None or "weights" in tags`, symmetric with the existing "kv_cache" gating. Full wakes and weights-inclusive wakes are unchanged; the buffers now stay pending across a kv_cache-only wake and are restored bit-for-bit on the following weights wake. Adds CPU-only regression tests that exercise the real wake_up source: the kv_cache-only partial wake no longer copies into the unmapped weights VA and leaves buffers pending; a following weights wake restores them; full and weights-only wakes are unaffected. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Signed-off-by: terafin <terafin@users.noreply.github.com> Signed-off-by: Justin Wood <jwood@me.com>
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Summary
Worker.wake_uprestored the buffers saved before a level-2 sleep wheneverself._sleep_saved_bufferswas non-empty, regardless of the requested waketags.Model buffers are allocated under the
"weights"tag —load_modelruns inside the"weights"memory pool — so their CUDA virtual addresses are only re-mapped once the allocator wakes that tag. On a partial wake that does not include"weights"(e.g.wake_up(["kv_cache"])), the restore loop executedbuffer.data.copy_(saved)into a still-unmapped VA, raisingCUDA_ERROR_ILLEGAL_ADDRESS. Worse, it then cleared_sleep_saved_buffers, so a subsequentwake_up(["weights"])never restored the buffers.This was inconsistent with the
post_kv_cache_wake_up()call immediately below, which is already tag-gated (tags is None or "kv_cache" in tags).Fix
Gate the buffer restore on
tags is None or "weights" in tags, symmetric with the existing"kv_cache"gate. Behavior is preserved for the cases that matter today:wake_up(None)) — buffers restored, as before.wake_up(["weights"])) — buffers restored.wake_up(["kv_cache"])) — buffers stay pending (no copy into unmapped VA); restored bit-for-bit on the following weights wake.Tests
Adds
tests/v1/worker/test_gpu_worker_sleep_wake.py— CPU-only, no GPU required. The tests load the realWorker.wake_upsource and run it against a fake allocator that tracks mapped tags plus a guarded buffer whosecopy_raises if its backing tag is unmapped (simulating the illegal-address fault):test_partial_wake_kv_cache_does_not_restore_weight_buffers—wake_up(["kv_cache"])must not copy into the unmapped weights VA; buffers stay pending. FAILS pre-fix (RuntimeError: copy into unmapped VA for tag 'weights'), passes post-fix.test_subsequent_weights_wake_restores_buffers_bit_for_bit— kv_cache wake then weights wake restores buffers and clears the saved dict only after restore. FAILS pre-fix, passes post-fix.test_full_wake_restores_buffers_and_runs_post_kv_cache— full wake unaffected (passes both).test_partial_weights_wake_restores_buffers_no_post_kv_cache— weights-only wake restores buffers and does not run post_kv_cache (passes both).Pre-fix:
2 failed, 2 passed. Post-fix:4 passed.Related
Part of the sleep/wake correctness family; orthogonal to #45612 (PP-broadcast wake race,
cumem), #45615 (sleep-side kernel drain), #45616 (mixed-tag asleep-subset wake inexecutor/abstract.py), and #44778 (FP8 KV nested containers ingpu_model_runner.py) — none of which touch the_sleep_saved_buffersrestore loop ingpu_worker.py.