[None][fix] Fix gen-only async kvtransfer hang - #17107
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WalkthroughThe executor now receives scheduled-batch idle state for disaggregated transfer checks. Integration coverage adds separate worker environments, optional GPU sharing, and a concurrent Mamba test with its YAML configuration and QA registration. ChangesDisaggregated transfer and Mamba concurrency flow
Estimated code review effort: 3 (Moderate) | ~20 minutes Sequence Diagram(s)sequenceDiagram
participant Executor
participant TransferProgressHelper
participant ContextTransfer
Executor->>TransferProgressHelper: pass scheduled-batch idle state
TransferProgressHelper->>ContextTransfer: poll context-transfer progress during idle iteration
ContextTransfer-->>TransferProgressHelper: report completed transfers
TransferProgressHelper-->>Executor: return transfer-progress result
Possibly related PRs
Suggested reviewers: 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
✨ Finishing Touches🧪 Generate unit tests (beta)
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Actionable comments posted: 1
🧹 Nitpick comments (1)
tests/unittest/_torch/executor/test_mamba_cache_manager.py (1)
58-86: 📐 Maintainability & Code Quality | 🔵 Trivial | ⚡ Quick winAdd annotations to the changed test functions.
Annotate all changed test functions and fixture parameters. Use
enable_attention_dp: booland-> Nonefor the unit tests. Add a precise type formonkeypatchand-> Nonefor the integration test.
tests/unittest/_torch/executor/test_mamba_cache_manager.py#L58-L86: annotateenable_attention_dpand both test return types.tests/unittest/_torch/executor/test_mamba_cache_manager.py#L153-L157: add the test return type.tests/integration/defs/accuracy/test_disaggregated_serving.py#L2170-L2170: annotatemonkeypatchand the test return type.As per coding guidelines, “Annotate every function.”
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the rest with a brief reason, keep changes minimal, and validate. In `@tests/unittest/_torch/executor/test_mamba_cache_manager.py` around lines 58 - 86, Annotate the changed test functions: in tests/unittest/_torch/executor/test_mamba_cache_manager.py lines 58-86, add enable_attention_dp: bool and -> None to both tests; at lines 153-157, add -> None to the test. In tests/integration/defs/accuracy/test_disaggregated_serving.py line 2170, add the precise type for monkeypatch and -> None to the integration test.Source: Coding guidelines
🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
Inline comments:
In `@tests/integration/defs/accuracy/test_disaggregated_serving.py`:
- Around line 2178-2179: Update the test setup around the existing monkeypatch
environment configuration before launch_disaggregated_llm() to remove inherited
UCX_NET_DEVICES and set TRTLLM_NIXL_NUM_THREADS to "1"; apply the same
deterministic settings to both server-role setup blocks, including the
corresponding lines around 2211-2219.
---
Nitpick comments:
In `@tests/unittest/_torch/executor/test_mamba_cache_manager.py`:
- Around line 58-86: Annotate the changed test functions: in
tests/unittest/_torch/executor/test_mamba_cache_manager.py lines 58-86, add
enable_attention_dp: bool and -> None to both tests; at lines 153-157, add ->
None to the test. In
tests/integration/defs/accuracy/test_disaggregated_serving.py line 2170, add the
precise type for monkeypatch and -> None to the integration test.
🪄 Autofix (Beta)
Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
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📒 Files selected for processing (5)
tensorrt_llm/_torch/pyexecutor/mamba_cache_manager.pytests/integration/defs/accuracy/test_disaggregated_serving.pytests/integration/test_lists/test-db/l0_dgx_b200.ymltests/unittest/_torch/executor/test_mamba_cache_manager.pytests/unittest/disaggregated/test_mamba_transfer.py
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Signed-off-by: Lizhi Zhou <1432185+reasonsolo@users.noreply.github.com>
Signed-off-by: Lizhi Zhou <1432185+reasonsolo@users.noreply.github.com>
Signed-off-by: Lizhi Zhou <1432185+reasonsolo@users.noreply.github.com>
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Signed-off-by: Lizhi Zhou <1432185+reasonsolo@users.noreply.github.com>
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9 participants
Description
When no requests are scheduled, the PyExecutor forward pass is skipped. Previously, this could also skip checking completed context-side KV transfers, leaving the context request incomplete and its cache resources unreleased. With
max_batch_size=1 and concurrency 2, the second request then remains blocked, causing a deadlock.
This change detects idle iterations from the scheduled batch and polls context transfer status regardless of TRTLLM_DISABLE_KV_CACHE_TRANSFER_OVERLAP. The regression test runs context and generation workers on one GPU with batch size
1 and two concurrent Mamba requests.
Test Coverage
PR Checklist
Dev Engineer Review
PyExecutorto poll completed context-side KV transfers during idle iterations.mamba_bs1_concurrency2QA entry.QA Engineer Review
test_disaggregated_mamba_bs1_concurrency2.tests/integration/test_lists/qa/llm_function_core.txt.