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@yifeizhang-c yifeizhang-c commented Aug 18, 2025

Description

Under disagg, if generation server runs with bs == 1, the dummy GENERATION_IN_PROGRESS request for attention dp will prevent DISAGG_GENERATION_INIT from being scheduled, thus letting generation server running in an endless cycle. This PR enlarges scheduler capacity and related resources to be with at least capacity == 2.

Besides, originally py_executor logic assign new SEQ_SLOT resource on DISAGG_GEN_INIT state. This PR delays the preparation to DISAGG_TRANS_COMPLETE state.

Test Coverage

Added disaggregated/test_disaggregated.py::test_disaggregated_genbs1[TinyLlama-1.1B-Chat-v1.0] to cover generation server bs==1 case.

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Summary by CodeRabbit

  • Bug Fixes

    • Avoids scheduler deadlock when attention parallelism + KV cache present by bumping scheduler capacity in the 1-capacity edge case.
    • Prevents sequence-slot assignment during the initial disaggregated generation phase and defers slot preparation until transmission-complete, improving stability without changing public APIs.
  • Tests

    • Added a generation-only, batch-size-1 disaggregated config and integration test for TinyLlama.
    • Registered the new test in the pre-merge suite for multi-GPU coverage.

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📝 Walkthrough

Walkthrough

Adds guards to skip sequence-slot assignment for DISAGG_GENERATION_INIT requests in both C++ and Python paths, adjusts scheduler capacity for an attention-DP edge case (bs=1), moves SEQ_SLOT_MANAGER.prepare_resources from disagg-init to transmission-complete, and adds a generation-only BS=1 disaggregated test config, test, and test-list entry.

Changes

Cohort / File(s) Summary
Seq-slot assignment guards (CPP + PyTorch)
cpp/tensorrt_llm/batch_manager/assignReqSeqSlots.cpp, tensorrt_llm/_torch/pyexecutor/seq_slot_manager.py
Add a guard to skip sequence-slot assignment for requests in DISAGG_GENERATION_INIT state so they do not receive slots or update py_seq_slot/first-scheduled-time; other states unchanged.
Executor flow and scheduler capacity
tensorrt_llm/_torch/pyexecutor/py_executor.py, tensorrt_llm/_torch/pyexecutor/_util.py
Remove SEQ_SLOT_MANAGER from prepare_resources during disagg-init and instead call SEQ_SLOT_MANAGER.prepare_resources during transmission-complete when there are cache_trans_complete_requests; derive and use a modified scheduler_capacity (increment when max_num_sequences==1 with attention DP + KV cache manager) for BindCapacityScheduler.
Tests and configs
tests/integration/defs/disaggregated/test_configs/disagg_config_gen_only_bs1.yaml, tests/integration/defs/disaggregated/test_disaggregated.py, tests/integration/test_lists/test-db/l0_dgx_h100.yml
Add a generation-only BS=1 disaggregated config, add an integration test that runs the gen-only BS=1 configuration, and register the test in the pre-merge test list.

Sequence Diagram(s)

sequenceDiagram
    participant Client
    participant PyExecutor
    participant SeqSlotManager
    participant AssignReqSeqSlots

    Client->>PyExecutor: Submit request (DISAGG_GENERATION_INIT)
    PyExecutor->>SeqSlotManager: prepare_resources(disagg_init)
    SeqSlotManager-->>PyExecutor: Skip DISAGG_GENERATION_INIT (no slot)
    Note over PyExecutor: Cache transmission completes later
    PyExecutor->>SeqSlotManager: prepare_resources(transmission_complete)
    SeqSlotManager->>AssignReqSeqSlots: include requests for slot assignment
    AssignReqSeqSlots-->>SeqSlotManager: allocate/assign sequence slot
    SeqSlotManager-->>PyExecutor: request now has slot and scheduling info
Loading

Estimated code review effort

🎯 3 (Moderate) | ⏱️ ~25 minutes

Possibly related PRs

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  • Tabrizian
  • Shixiaowei02
  • mikeiovine
  • yuxianq
  • pcastonguay

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@yifeizhang-c yifeizhang-c marked this pull request as ready for review August 18, 2025 03:21
@yifeizhang-c yifeizhang-c requested a review from a team as a code owner August 18, 2025 03:21
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Actionable comments posted: 3

🧹 Nitpick comments (5)
tensorrt_llm/_torch/pyexecutor/_util.py (1)

527-532: Bump scheduler capacity for bs==1 attention-DP edge case; add a debug log for observability

The capacity bump logic is correct and low-risk. Consider logging when the adjustment happens to aid diagnosis in field.

Apply this diff to add a debug log:

     scheduler_capacity = max_num_sequences
-    if scheduler_capacity == 1 and mapping.enable_attention_dp and kv_cache_manager:
-        scheduler_capacity += 1
+    if scheduler_capacity == 1 and mapping.enable_attention_dp and kv_cache_manager:
+        scheduler_capacity += 1
+        logger.debug(
+            "Adjusting scheduler capacity from %d to %d due to attention_dp with KV cache manager (bs==1)",
+            max_num_sequences, scheduler_capacity)

Also applies to: 534-534

tests/integration/defs/disaggregated/test_configs/disagg_config_gen_only_bs1.yaml (3)

17-18: Unify boolean literals for YAML 1.2 style consistency

Booleans are mixed (True/False vs true/false). While PyYAML accepts both, prefer lowercase for consistency and to avoid surprises with stricter parsers.

Apply:

-    enable_partial_reuse: False
-  disable_overlap_scheduler: True
+    enable_partial_reuse: false
+  disable_overlap_scheduler: true
@@
-    enable_partial_reuse: False
+    enable_partial_reuse: false

Also applies to: 33-33


23-37: Consider explicitly mirroring overlap-scheduler setting on generation servers

You set disable_overlap_scheduler: true for context servers but not for generation servers. If the intent is to keep behavior aligned (especially with attention DP enabled), explicitly setting it in both places prevents subtle divergence during debugging and triage. If the difference is intentional, ignore this.

Suggested addition:

 generation_servers:
   num_instances: 1
   tensor_parallel_size: 2
   pipeline_parallel_size: 1
   enable_attention_dp: true
   max_batch_size: 1
   max_num_tokens: 4096
   max_seq_len: 4096
+  disable_overlap_scheduler: true
   kv_cache_config:
     free_gpu_memory_fraction: 0.2
     enable_partial_reuse: false

15-16: Sanity-check KV cache headroom vs max_seq_len

In tests/integration/defs/disaggregated/test_configs/disagg_config_gen_only_bs1.yaml you’ve set

  • Line 16: kv_cache_config.free_gpu_memory_fraction: 0.2
  • Line 32: kv_cache_config.free_gpu_memory_fraction: 0.2

together with max_seq_len: 4096 and enable_attention_dp: true. This headroom can be tight under allocator fragmentation and per‐rank memory pressure, leading to intermittent OOMs in CI. Consider bumping free_gpu_memory_fraction to 0.25–0.3 in both spots if you observe flakiness.

tests/integration/test_lists/test-db/l0_dgx_h100.yml (1)

36-36: Optional: add an explicit timeout guard

Given this test specifically targets a former “nonstop” edge case, consider adding a TIMEOUT to make CI failures more actionable if regressions reintroduce hangs.

For example:

-  - disaggregated/test_disaggregated.py::test_disaggregated_genbs1[TinyLlama-1.1B-Chat-v1.0]
+  - disaggregated/test_disaggregated.py::test_disaggregated_genbs1[TinyLlama-1.1B-Chat-v1.0] TIMEOUT (120)
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20-20: Undefined name logger

(F821)

🔇 Additional comments (4)
cpp/tensorrt_llm/batch_manager/assignReqSeqSlots.cpp (1)

33-37: Correctly skipping slot assignment for DISAGG_GENERATION_INIT

Guarding DISAGG_GENERATION_INIT requests from slot assignment here aligns with the new flow (slots allocated at transmission-complete). This prevents the deadlock when bs==1. Looks good.

tests/integration/defs/disaggregated/test_disaggregated.py (1)

50-52: Add gen_only_bs1 config mapping

The new entry for the bs=1 gen-only disaggregated config looks good and matches the test below.

tests/integration/test_lists/test-db/l0_dgx_h100.yml (2)

36-36: LGTM: Added gen-only bs=1 disaggregated test

The placement and parameterization look correct alongside neighboring disaggregated tests.


36-36: All tests and config wiring verified

  • The test_disaggregated_genbs1 function is defined in tests/integration/defs/disaggregated/test_disaggregated.py (line 395).
  • The config file disagg_config_gen_only_bs1.yaml exists under tests/integration/defs/disaggregated/test_configs/.
  • That config is referenced in tests/integration/defs/disaggregated/test_disaggregated.py (line 51).

No further changes needed.

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@kaiyux kaiyux merged commit 5959d72 into NVIDIA:release/1.0 Aug 20, 2025
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