[Core] Drain in-flight kernels before cuMemUnmap in CuMemAllocator.sleep (fixes Xid-31 sleep-side race under async scheduling)#45615
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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>
|
Confirmed — we hit the same Xid-31 race on A10 clusters during multi-model hot-swap. |
Under async scheduling (max_concurrent_batches > 1), EngineCore.step_with_batch_queue submits execute_model(non_block=True) and returns without awaiting the returned future when the batch queue is not yet full (vllm/v1/engine/core.py). A subsequent /sleep reaches CuMemAllocator.sleep, which loops over allocations calling unmap_and_release -> cuMemUnmap, tearing down the KV/weight virtual address space while the still-running forward kernel is writing to it. This races VA teardown against in-flight device work and surfaces as an Xid-31 write-to-unmapped-VA fault that kills EngineCore. The synchronous step() path is safe because future.result() drains the work before any sleep can run, but the async batch-queue path is exposed. The existing torch.cuda.synchronize() in _python_free_callback only covers the PyTorch GC-driven free path, not this explicit sleep() unmap loop -- that asymmetry is the gap. Add a device-wide torch.cuda.synchronize() at the top of sleep(), before the unmap loop, to drain all in-flight kernels before any cuMemUnmap. The cost is negligible relative to the seconds-scale sleep/offload work. This is the sleep-side analog of the wake-side drain (vllm-project#45612); both defend the same cuMemUnmap/cuMemMap-vs-in-flight-kernel race that manifests as the steady-state Xid-31 MMU faults seen under sleep/wake with async scheduling. Cross-ref vllm-project#45519. Adds a CPU-runnable regression test that monkeypatches torch.cuda.synchronize and unmap_and_release to assert the synchronize happens before any unmap in sleep(); it fails on the pre-fix code and passes with this change. The full GPU async-drain repro (long forward under max_concurrent_batches=2, /sleep mid-step, assert no Xid-31) is the integration variant. Signed-off-by: terafin <terafin@users.noreply.github.com> Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Summary
Under async scheduling (
max_concurrent_batches > 1),EngineCore.step_with_batch_queuesubmitsexecute_model(non_block=True)and returns without awaiting the future when the batch queue is not yet full (vllm/v1/engine/core.py). A subsequent/sleepreachesCuMemAllocator.sleep, which loops over allocations callingunmap_and_release→cuMemUnmap(csrc/cumem_allocator.cpp), tearing down the KV/weight virtual address space while the still-running forward kernel is writing to it.This races VA teardown against in-flight device work and surfaces as an Xid-31 write-to-unmapped-VA fault that kills EngineCore. The engine wedges;
/healthcan still return 200 while the worker is dead.Root cause: an asymmetric sync
_python_free_callbackalready drains in-flight work before itscuMemUnmap:…but that only covers the PyTorch GC-driven free path. The explicit
sleep()unmap loop has notorch.cuda.synchronize()beforeunmap_and_release(handle). That asymmetry is the gap.step()is safe:future.result()drains the work before any sleep can run.step_with_batch_queue()is exposed: it returns with theexecute_modelfuture still pending.Fix
Add a device-wide
torch.cuda.synchronize()at the top ofsleep(), before the unmap loop, to drain all in-flight kernels before anycuMemUnmap. The cost is negligible relative to the seconds-scale sleep/offload work.This is the sleep-side analog of the wake-side drain (#45612) — both defend the same
cuMemUnmap/cuMemMap-vs-in-flight-kernel race that manifests as steady-state Xid-31 MMU faults under sleep/wake with async scheduling. Cross-ref #45519.Test
Adds
tests/basic_correctness/test_cumem_sleep_sync.py, a CPU-runnable (mock-based) regression test that monkeypatchestorch.cuda.synchronizeandunmap_and_releaseto record call order, then drivessleep()against a single fake allocation and asserts the synchronize happens before any unmap.Verified under real torch + CUDA:
main):FAILED—assert 'synchronize' in ['unmap'](onlyunmaprecorded; no drain before VA teardown).PASSED.The full GPU async-drain repro (long forward under
max_concurrent_batches=2, fire/sleepmid-step, assert no Xid-31 /CUDA_ERROR_ILLEGAL_ADDRESS) is the integration variant; the unit assertion is the carryable proof.