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[https://nvbugs/6713426][fix] Make MoE communication timeouts follow the warmup phase - #19593
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Navigate logical layers of code changes, visualize relationships, and explore their blast radius. No actionable comments were generated in the recent review. 🎉 ℹ️ Recent review info⚙️ Run configurationConfiguration used: Repository: NVIDIA/TensorRT-LLM/.coderabbit.yaml Review profile: CHILL Plan: Enterprise Run ID: 📒 Files selected for processing (2)
Included review availability: This review used your included allowance. Your plan provides up to 12 included reviews per hour; 10 remain after this review. WalkthroughThe pull request adds a shared guard for MoE communication timeouts. The model engine switches between warmup and serving budgets. Backend proxies pass the selected timeouts to configurable communication APIs. ChangesMoE communication timeout control
Priority: ⬆️ High Estimated code review effort: 4 (Complex) | ~60 minutes Change: Bug fix Sequence Diagram(s)sequenceDiagram
participant PyTorchModelEngine
participant MoECommTimeoutGuard
participant NVLinkOneSidedTimeoutProxy
participant moe_a2a_set_timeout
PyTorchModelEngine->>MoECommTimeoutGuard: set_moe_comm_warmup(true)
MoECommTimeoutGuard->>NVLinkOneSidedTimeoutProxy: Apply warmup timeout
NVLinkOneSidedTimeoutProxy->>moe_a2a_set_timeout: Set timeout seconds
Suggested reviewers: Merge Risk: 🔵 Low · up to A timeout setter failure could leave communication backends with inconsistent warmup and serving budgets and interrupt a phase transition. This is a conditional failure path; merge with owner awareness or follow up on recovery behavior. 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
Full details: Docstring CoverageExplanation Docstring coverage is 26.88% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 186 functions across 20 files. (1 skipped: 1 unsupported.)
✨ Finishing Touches🧪 Generate unit tests (beta)
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Actionable comments posted: 2
- 🪄 Fix CodeRabbit comments on this PR
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Inline comments:
In `@tensorrt_llm/_torch/moe/fused_moe/mega_moe/mega_moe_deepgemm.py`:
- Around line 867-871: Add a CPU test in the existing MegaMoE warmup-fence test
suite that mocks time.monotonic() to produce a 10-second wait, exercises the
warmup launch path, and asserts the warning logger is called for the waited >=
_FENCE_WAIT_LOG_SECONDS branch.
- Line 110: Move `_warmup_launch_fence` from module-global state to the owning
`PyTorchModelEngine` or backend, and update the `is_warmup` transition and
`run_moe` to write and read that instance’s state so one engine cannot affect
another.
After applying the fix, consider running `coderabbit review --agent` for local
review. Visit https://docs.coderabbit.ai/cli?utm_source=ghpr
ℹ️ Review info
⚙️ Run configuration
Configuration used: Repository: NVIDIA/TensorRT-LLM/.coderabbit.yaml
Review profile: CHILL
Plan: Enterprise
Run ID: 6b2eb60b-fab7-432b-8252-7613a9263c01
📒 Files selected for processing (4)
tensorrt_llm/_torch/moe/fused_moe/MOE_DEVELOPER_GUIDE.mdtensorrt_llm/_torch/moe/fused_moe/mega_moe/mega_moe_deepgemm.pytensorrt_llm/_torch/pyexecutor/model_engine.pytests/unittest/_torch/moe/test_mega_moe_warmup_fence.py
Included review availability: Your plan provides up to 12 included reviews per hour; 11 remain after this review.
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PR_Github #75235 [ run ] triggered by Bot. Commit: |
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Stamp on behalf of runtime devs, delegating proper review to @NVIDIA/trt-llm-moe-devs; please ping me if you think this is not accurate
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PR_Github #75235 [ run ] completed with state
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Automatically added "ci: full pre-merge approved" because this PR has satisfied the required GitHub review approvals. Unresolved review conversations and other required checks remain independent merge requirements. |
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Evaluate behavioral incompatibilities involving the supplied PR changes and the Verify the three full commit IDs and their merge-base. For divergent branches, When head contains target ( First identify changed or removed interfaces and symbols, then search repository Classify findings in prose as cross-branch interactions or PR-local compatibility Use read-only source and Git inspection. Do not modify checked-out files, execute Assess independent findings separately. Uncertainty about one path does not
Write exactly one standalone heading
Then give the verdict, findings or inspected paths, and limitations. For PASS and Copy the supplied identity and commit IDs verbatim. Always include the result Analyze only these fixed revisions in NVIDIA/TensorRT-LLM, not the hosting PR: |
|
Tip For best results, initiate chat on the files or code changes. 🧩 Analysis chain🏁 Script executed: #!/bin/bash
set -euo pipefail
h=918a4e03f9008b761a6e6a375117949544aab278
t=ae3531adf3edcd833844559ecb791ab29b398d5d
b=c3785d305f4455a6f63f737747c360b4a2e55ef1
for c in "$h" "$t" "$b"; do echo "OBJECT $c"; git cat-file -t "$c"; git rev-parse "$c^{commit}"; done
echo ACTUAL_BASE; git merge-base "$h" "$t"
echo RELATION; if git merge-base --is-ancestor "$t" "$h"; then echo target_in_head; else echo divergent; fi
echo HEAD_PATHS; git diff --name-status "$b" "$h"
echo TARGET_RELEVANT_PATHS; git diff --name-status "$b" "$t" -- tensorrt_llm/_torch/moe tensorrt_llm/_torch/pyexecutor tests/unittest/_torch/moe tests/unittest/_torch/executor tests/integration/test_lists | head -145
echo TARGET_STAT; git diff --shortstat "$b" "$t"
echo TARGET_OTHER_PATHS; git diff --name-only "$b" "$t" | rg -i 'mega|moe|warmup|distributed|mapping|parallel' | head -100 || true
echo HEAD_INTERFACES; git diff -U3 "$b" "$h" -- tensorrt_llm/_torch/pyexecutor/model_engine.py tensorrt_llm/_torch/moe/fused_moe/mega_moe/mega_moe_deepgemm.py | head -255
echo TARGET_INTERFACES; git diff -U2 "$b" "$t" -- tensorrt_llm/_torch/pyexecutor/model_engine.py tensorrt_llm/_torch/moe/fused_moe/mega_moe/mega_moe_deepgemm.py | rg -n '(^@@|^[+-].*(warmup|Warmup|fence|capture|cuda_graph|forward|compile|moe|MoE|barrier|set_warmup_flag|ep_group))' | head -175 || trueLength of output: 30247 🏁 Script executed: #!/bin/bash
set -euo pipefail
h=918a4e03f9008b761a6e6a375117949544aab278
t=ae3531adf3edcd833844559ecb791ab29b398d5d
b=c3785d305f4455a6f63f737747c360b4a2e55ef1
a=tensorrt_llm/_torch/moe/fused_moe/mega_moe/mega_moe_deepgemm.py
m=tensorrt_llm/_torch/pyexecutor/model_engine.py
echo 'MERGE_PREVIEW'
python - "$h" "$b" "$t" "$a" "$m" <<'PY'
import subprocess,sys,tempfile,pathlib
h,b,t,*paths=sys.argv[1:]
for path in paths:
with tempfile.TemporaryDirectory() as d:
fs=[]
for name,rev in [('head',h),('base',b),('target',t)]:
f=pathlib.Path(d)/name
f.write_bytes(subprocess.check_output(['git','show',f'{rev}:{path}']))
fs.append(str(f))
p=subprocess.run(['git','merge-file','-p',*fs],capture_output=True)
text=p.stdout.decode(errors='replace')
print(path,'status',p.returncode,'markers',text.count('<<<<<<<'))
for n,line in enumerate(text.splitlines(),1):
if any(s in line for s in ('def set_warmup_launch_fence','def _fence_ep_ranks','def _set_mega_moe_warmup_launch_fence','_set_mega_moe_warmup_launch_fence(value)','def is_warmup','if _warmup_launch_fence','fp8_fp4_mega_moe(')):
print(n,line.strip())
PY
echo 'SYMBOL_REFERENCES'
for c in "$h" "$t"; do
echo "REV $c"
git grep -n -E 'set_warmup_launch_fence|_set_mega_moe_warmup_launch_fence|_fence_ep_ranks|fp8_fp4_mega_moe\(|set_warmup_flag\(|\.is_warmup\s*=' "$c" -- 'tensorrt_llm/**/*.py' 'tests/**/*.py' | head -100 || true
done
echo 'TARGET_CHANGED_MEGA'
git diff -U4 "$b" "$t" -- "$a"
echo 'TARGET_WARMUP_PATH'
git show "$t:$m" | nl -ba | sed -n '1125,1200p;1420,1590p;1835,1968p;1995,2150p'
echo 'HEAD_FENCE'
git show "$h:$a" | nl -ba | sed -n '83,115p;640,691p;849,873p;920,947p'
echo 'HEAD_ENGINE_SETTER'
git show "$h:$m" | nl -ba | sed -n '316,331p;1135,1153p'Length of output: 54176 🏁 Script executed: #!/bin/bash
set -euo pipefail
h=918a4e03f9008b761a6e6a375117949544aab278
t=ae3531adf3edcd833844559ecb791ab29b398d5d
b=c3785d305f4455a6f63f737747c360b4a2e55ef1
m=tensorrt_llm/_torch/pyexecutor/model_engine.py
a=tensorrt_llm/_torch/moe/fused_moe/mega_moe/mega_moe_deepgemm.py
echo 'TARGET GROUP ELIGIBILITY LAUNCH'
git show "$t:$a" | nl -ba | sed -n '305,336p;685,716p;827,895p'
echo 'TARGET ENGINE INIT COMPILE'
git show "$t:$m" | nl -ba | sed -n '640,750p;717,738p;1397,1437p;2170,2225p;2535,2588p'
echo 'TARGET EXECUTOR TRANSITIONS'
git show "$t:tensorrt_llm/_torch/pyexecutor/py_executor.py" | nl -ba | sed -n '810,860p;1400,1420p'
echo 'TARGET TIMER CONTEXT'
git show "$t:tensorrt_llm/_torch/pyexecutor/warmup_timer.py" | nl -ba | sed -n '20,160p'
echo 'TARGET NEW CHANGES ATTENTION SHAPES'
git diff -U3 "$b" "$t" -- "$m" | sed -n '/@@ -2059/,/@@ -2165/p' | head -190
echo 'HEAD TESTS'
git show "$h:tests/unittest/_torch/moe/test_mega_moe_warmup_fence.py" | nl -ba | sed -n '22,132p'
echo 'TARGET TEST DOUBLES'
git show "$t:tests/unittest/_torch/executor/test_pytorch_model_engine_warmup.py" | nl -ba | sed -n '645,733p'
echo 'TARGET MODULE REFERENCES'
git grep -n -E 'DeepgemmCudaW4a8Mxfp4Mxfp8Impl|MegaMoEDeepGemm|moe_ep_group_pg|_torch_compile_prefill_only' "$t" -- 'tensorrt_llm/_torch/**/*.py' 'tests/unittest/_torch/**/*.py' | head -115 || true
echo 'BASE ATTENTION COMPARISON'
git show "$b:$m" | nl -ba | sed -n '2040,2118p'Length of output: 65455
SEMANTIC_REVIEW
PASS — no concrete in-scope incompatibility found in the inspected paths. Read-only Git inspection verified all three supplied commit IDs and the supplied merge-base. The branches diverge. I compared both sides from the merge-base. Three-way previews of the shared MegaMoE and model-engine files had no textual conflicts. Both the head’s fence definition and its engine caller survive the preview. I used the earlier merge-preview and reference-check guidance. I checked references to the changed fence symbols in both fixed trees, including executor transitions and test doubles outside the edited files. The head engine setter enables the fence during warmup. The target warmup context and executor transitions still use that setter. I checked launch participation against the target’s warmup decisions, added draft attention shapes, compile routing, CUDA graph capture, EP process-group resolution, and zero-token launches. The head fence skips single-rank EP groups and capture. It runs before the head kernel launch. The target retains EP process-group resolution and the zero-token kernel launch. The target also agrees on distributed warmup decisions before affected forwards (Line 1864–1907). I did not establish unequal EP barrier participation. This was source-only inspection. I did not run project code or distributed GPU tests. PASS does not certify runtime safety or the complete integration. SEMANTIC_RESULT request_id=dae8063c-a41c-4234-914c-72974b58fa1b head=918a4e03f9008b761a6e6a375117949544aab278 target=ae3531adf3edcd833844559ecb791ab29b398d5d merge_base=c3785d305f4455a6f63f737747c360b4a2e55ef1 verdict=PASS 🧠 Learnings usedYou are interacting with an AI system. |
|
Evaluate behavioral incompatibilities involving the supplied PR changes and the Verify the three full commit IDs and their merge-base. For divergent branches, When head contains target ( First identify changed or removed interfaces and symbols, then search repository Classify findings in prose as cross-branch interactions or PR-local compatibility Use read-only source and Git inspection. Do not modify checked-out files, execute Assess independent findings separately. Uncertainty about one path does not
Write exactly one standalone heading
Then give the verdict, findings or inspected paths, and limitations. For PASS and Copy the supplied identity and commit IDs verbatim. Always include the result Analyze only these fixed revisions in NVIDIA/TensorRT-LLM, not the hosting PR: |
|
Tip For best results, initiate chat on the files or code changes. 🧩 Analysis chain🏁 Script executed: #!/bin/bash
set -eu
h=918a4e03f9008b761a6e6a375117949544aab278
t=bdd012579f8941ec188ea1db46ca3f77da0b9de0
b=c3785d305f4455a6f63f737747c360b4a2e55ef1
for c in "$h" "$t" "$b"; do echo "COMMIT $c"; git cat-file -t "$c"; git rev-parse "$c^{commit}"; done
echo ACTUAL_MERGE_BASE; git merge-base --all "$h" "$t"
echo HEAD_PATHS; git diff --name-status "$b" "$h"
echo TARGET_SUMMARY; git diff --shortstat "$b" "$t"
echo TARGET_RELEVANT_PATHS
git diff --name-status "$b" "$t" | grep -Ei 'moe|executor|warmup|mapping|distributed|parallel|test.*cpu|utils' | sed -n '1,180p'
echo HEAD_DIFF
git diff -U3 "$b" "$h" -- tensorrt_llm/_torch/moe/fused_moe/mega_moe/mega_moe_deepgemm.py tensorrt_llm/_torch/pyexecutor/model_engine.py
echo TARGET_MEGA_DIFF
git diff -U3 "$b" "$t" -- tensorrt_llm/_torch/moe/fused_moe/mega_moe/mega_moe_deepgemm.py
echo TARGET_ENGINE_HUNKS
git diff -U2 "$b" "$t" -- tensorrt_llm/_torch/pyexecutor/model_engine.py | grep -E '^@@|^[+-].*(warmup|Warmup|fence|capture|cuda_graph|forward|compile|moe|MoE|barrier|set_warmup_flag)' | sed -n '1,200p'Length of output: 32338 🏁 Script executed: #!/bin/bash
set -eu
h=918a4e03f9008b761a6e6a375117949544aab278
t=bdd012579f8941ec188ea1db46ca3f77da0b9de0
b=c3785d305f4455a6f63f737747c360b4a2e55ef1
a=tensorrt_llm/_torch/moe/fused_moe/mega_moe/mega_moe_deepgemm.py
m=tensorrt_llm/_torch/pyexecutor/model_engine.py
echo OUTLINES
ast-grep outline "$a" --items all --match 'fence|run_moe|init|warmup' || true
ast-grep outline "$m" --items all --match 'warmup|compile|is_warmup' || true
echo MERGE_PREVIEW
python - "$h" "$b" "$t" "$a" "$m" <<'PY'
import subprocess,sys,tempfile,pathlib
h,b,t,*paths=sys.argv[1:]
for path in paths:
with tempfile.TemporaryDirectory() as d:
fs=[]
for name,rev in [('head',h),('base',b),('target',t)]:
f=pathlib.Path(d)/name
f.write_bytes(subprocess.check_output(['git','show',f'{rev}:{path}']))
fs.append(str(f))
p=subprocess.run(['git','merge-file','-p',*fs],capture_output=True)
lines=p.stdout.decode(errors='replace').splitlines()
print(path,'exit',p.returncode,'conflicts',sum(s.startswith('<<<<<<<') for s in lines))
for i,s in enumerate(lines):
if any(x in s for x in ['def set_warmup_launch_fence','def _fence_ep_ranks','def _set_mega_moe_warmup_launch_fence','_set_mega_moe_warmup_launch_fence(value)','if _warmup_launch_fence:']):
print('\n'.join(f'{j+1}: {lines[j]}' for j in range(max(0,i-2),min(len(lines),i+12))))
PY
echo REFS_BOTH_TREES
for c in "$h" "$t"; do
echo "$c"
git grep -n -E 'set_warmup_launch_fence|_set_mega_moe_warmup_launch_fence|_fence_ep_ranks|fp8_fp4_mega_moe\(|set_warmup_flag\(|\.is_warmup\s*=' "$c" -- '*.py' | sed -n '1,100p' || true
done
echo HEAD_MODULE_IMPORTS_AND_FENCE
git show "$h:$a" | nl -ba | sed -n '24,115p;640,691p;850,945p'
echo TARGET_WARMUP_TRANSITIONS
git show "$t:$m" | nl -ba | sed -n '1125,1202p;1400,1448p;1475,1589p'
echo TARGET_TESTS
git show "$h:tests/unittest/_torch/moe/test_mega_moe_warmup_fence.py" | nl -ba | sed -n '1,135p'
git show "$t:tests/unittest/_torch/executor/test_pytorch_model_engine_warmup.py" | nl -ba | sed -n '1,90p;635,735p'Length of output: 56862 🏁 Script executed: #!/bin/bash
set -eu
h=918a4e03f9008b761a6e6a375117949544aab278
t=bdd012579f8941ec188ea1db46ca3f77da0b9de0
b=c3785d305f4455a6f63f737747c360b4a2e55ef1
m=tensorrt_llm/_torch/pyexecutor/model_engine.py
a=tensorrt_llm/_torch/moe/fused_moe/mega_moe/mega_moe_deepgemm.py
echo TARGET_AGREEMENT_AND_RECOVERY
git show "$t:$m" | nl -ba | sed -n '1825,2040p;2075,2148p'
echo TARGET_COMPILE_AND_AUTOTUNER
git show "$t:$m" | nl -ba | sed -n '199,245p;649,731p;2175,2305p;2530,2570p;6230,6260p'
echo TARGET_GROUP_AND_ELIGIBILITY
git show "$t:$a" | nl -ba | sed -n '314,396p;637,714p;831,893p'
echo TARGET_EXECUTOR
git show "$t:tensorrt_llm/_torch/pyexecutor/py_executor.py" | nl -ba | sed -n '839,875p;1420,1435p'
echo BASE_ATTENTION_AND_RECOVERY
git show "$b:$m" | nl -ba | sed -n '1820,1845p;1900,1942p;2050,2120p'
echo IMPLEMENTATION_REFERENCES_BOTH
for c in "$h" "$t"; do
echo "$c"
git grep -n -E 'DeepgemmCudaW4a8Mxfp4Mxfp8Impl|mega_moe_deepgemm|\.run_moe\(' "$c" -- '*.py' | sed -n '1,90p' || true
done
echo TARGET_GRAPH_DIFF
git diff -U3 "$b" "$t" -- tensorrt_llm/_torch/pyexecutor/cuda_graph_runner.py | sed -n '1,125p'Length of output: 77340 🏁 Script executed: #!/bin/bash
set -eu
h=918a4e03f9008b761a6e6a375117949544aab278
t=bdd012579f8941ec188ea1db46ca3f77da0b9de0
b=c3785d305f4455a6f63f737747c360b4a2e55ef1
s=tensorrt_llm/_torch/moe/fused_moe/moe_scheduler.py
echo SCHEDULER_OUTLINE
ast-grep outline "$s" --items all --match 'FusedComm|forward|chunk' || true
echo SCHEDULER_DIFF; git diff "$b" "$t" -- "$s"
echo TARGET_FUSED_SCHEDULER
git show "$t:$s" | nl -ba | sed -n '1190,1315p'
echo TARGET_CHUNK_REFS
git grep -n -E 'class FusedCommMoEScheduler|num_chunks|chunk.*allgather|allgather.*chunk|chunk.*size' "$t" -- "$s" | tail -45
echo SETTER_TEST_OUTLINE
ast-grep outline tests/unittest/_torch/misc/test_moe_a2a_warmup_timeout.py --items all || true
echo SETTER_TEST
git show "$t:tests/unittest/_torch/misc/test_moe_a2a_warmup_timeout.py" | nl -ba | sed -n '1,130p'
echo TARGET_TIMER
git show "$t:tensorrt_llm/_torch/pyexecutor/warmup_timer.py" | nl -ba | sed -n '15,130p'
echo TARGET_IMPORT_DEPENDENCIES
git show "$t:tensorrt_llm/_torch/moe/fused_moe/mega_moe/__init__.py" | nl -ba | sed -n '25,55p'
git show "$t:tensorrt_llm/_torch/moe/fused_moe/quantization.py" | nl -ba | sed -n '20,80p'
echo TARGET_CPU_SELECTION
git show "$t:tests/integration/test_lists/test-db/l0_cpu.yml" | nl -ba | sed -n '1,65p'
echo FIXED_CITATION_CHECK
git show "$h:tensorrt_llm/_torch/pyexecutor/model_engine.py" | nl -ba | sed -n '1136,1152p'
echo TARGET_NEW_ELIGIBILITY_TEST
git diff -U3 "$b" "$t" -- tests/unittest/_torch/moe/test_moe_impl.py | sed -n '1,110p'Length of output: 34859
SEMANTIC_REVIEW
PASS — no concrete in-scope behavioral incompatibility found in the inspected paths. Revision and integration checksRead-only Git inspection verified all three supplied commit objects. Git computed I compared both Inspected contracts
LimitsThis was source-only inspection. I did not execute project code or tests. Distributed GPU behavior, binary kernel behavior, and the complete target integration remain unvalidated. PASS does not certify the PR. SEMANTIC_RESULT request_id=9efde74f-923c-4e14-9e4f-73a20ccf42f4 head=918a4e03f9008b761a6e6a375117949544aab278 target=bdd012579f8941ec188ea1db46ca3f77da0b9de0 merge_base=c3785d305f4455a6f63f737747c360b4a2e55ef1 verdict=PASS 🧠 Learnings usedYou are interacting with an AI system. |
…party dependency patch_file in 3rdparty/fetch_content.json may now list several patches, which are applied and verified in order, so each library fix keeps its own file. The patch step also no longer contains semicolons. CMake splits a list element at each semicolon, so bash only ran the forward patch and the reverse dry-run that verifies the tree never executed; re-running the step on an already-patched tree failed. Signed-off-by: xxi <xxi@nvidia.com>
…ts change at runtime - DeepGEMM: the MegaMoE kernels take the in-kernel barrier timeout as a kernel argument, set through set_barrier_timeout_seconds(); 0 keeps the JIT-time default. The value is not part of the kernel signature, so changing it does not recompile. - DeepEP: the normal kernels read their timeout from a device variable and the CPU-side waits from a host variable, both set through set_timeout_seconds(); 0 restores the compile-time defaults. - nccl-extensions: ncclEpGroupSetTimeout() / ncclEpGroupGetTimeout(), exposed as Group.set_timeout_ns() / get_timeout_ns(); 0 restores the timeout the group resolved at creation. Signed-off-by: xxi <xxi@nvidia.com>
…the warmup phase Several MoE communication kernels trap once a peer is late by more than a device-side timeout, and one-time per-rank warmup work can delay a healthy rank past it. The model engine now publishes an execution phase from its is_warmup setter, and comm_timeout.py pushes one budget per phase to every backend that registers a sink: NVLinkOneSided, DeepGEMM MegaMoE, the DeepEP normal kernels and NcclEP. - Warmup budget: TRTLLM_MOE_COMM_WARMUP_TIMEOUT_SEC, 1800 s by default. Serving budget: TRTLLM_MOE_COMM_TIMEOUT_SEC, each library's native timeout by default. TRTLLM_MOE_A2A_* stay as deprecated aliases. - Only the CUDA-graph pass that captures runs in the serving phase, because captured graphs keep the timeouts current at capture. - CommunicationFactory resolves the budgets before it tries any strategy, so an invalid value fails instead of reading as an unavailable backend. - This replaces moe_a2a_set_warmup and the MegaMoE warmup launch fence. Signed-off-by: xxi <xxi@nvidia.com>
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Approve for infra part.
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PR_Github #75814 [ run ] triggered by Bot. Commit: |
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PR_Github #75813 [ run ] completed with state |
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PR_Github #75814 [ run ] completed with state
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/bot run --disable-fail-fast |
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PR_Github #75822 [ run ] triggered by Bot. Commit: |
|
Evaluate behavioral incompatibilities involving the supplied PR changes and the Verify the three full commit IDs and their merge-base. For divergent branches, When head contains target ( First identify changed or removed interfaces and symbols, then search repository Classify findings in prose as cross-branch interactions or PR-local compatibility Use read-only source and Git inspection. Do not modify checked-out files, execute Assess independent findings separately. Uncertainty about one path does not
Write exactly one standalone heading
Then give the verdict, findings or inspected paths, and limitations. For PASS and Copy the supplied identity and commit IDs verbatim. Always include the result Analyze only these fixed revisions in NVIDIA/TensorRT-LLM, not the hosting PR: |
|
PR_Github #75822 [ run ] completed with state
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Tip For best results, initiate chat on the files or code changes. 🧩 Analysis chain🏁 Script executed: #!/bin/bash
set -euo pipefail
h=bad6f813f192c3ca695a6c53890bc8e992bbc0b2
t=acf585991125790b33b94f65e33dae4ea7f428f6
b=21d2f1c253c60da241c187f9489e882f29a31425
for c in "$h" "$t" "$b"; do git cat-file -t "$c"; git rev-parse "$c^{commit}"; done
echo MERGE_BASE; git merge-base --all "$h" "$t"
echo HEAD_PATHS; git diff --name-status "$b" "$h"
echo TARGET_PATHS; git diff --name-status "$b" "$t"
echo HEAD_CONTRACTS
git diff -U2 "$b" "$h" -- tensorrt_llm/_torch/pyexecutor/model_engine.py tensorrt_llm/_torch/moe/fused_moe/quantization.py tensorrt_llm/_torch/moe/fused_moe/communication/communication_factory.py tensorrt_llm/_torch/moe/fused_moe/nccl_ep_utils.pyLength of output: 13466 🏁 Script executed: #!/bin/bash
set -euo pipefail
h=bad6f813f192c3ca695a6c53890bc8e992bbc0b2
t=acf585991125790b33b94f65e33dae4ea7f428f6
b=21d2f1c253c60da241c187f9489e882f29a31425
echo TARGET_DIFF; git diff -U6 "$b" "$t"
echo OUTLINES
for f in tensorrt_llm/_torch/moe/fused_moe/moe_comm_timeout_guard.py tests/unittest/_torch/moe/test_moe_backend.py 3rdparty/CMakeLists.txt; do ast-grep outline "$f" --items all || true; done
echo GUARD; git show "$h:tensorrt_llm/_torch/moe/fused_moe/moe_comm_timeout_guard.py" | nl -ba | sed -n '1,350p'
echo REFERENCES
for c in "$h" "$t"; do
echo REVISION="$c"
git grep -n -E 'moe_a2a_set_warmup|moeA2AGetTimeoutCycles|_set_moe_a2a_warmup|_moe_a2a_steady_state_budget_for_capture|set_barrier_timeout_seconds|set_timeout_ns|set_timeout_seconds|_import_deep_gemm\(' "$c" -- '*.py' '*.cpp' '*.h' '*.cu' '*.json' | head -160 || true
done
echo HEAD_BACKEND_DIFFS
git diff -U3 "$b" "$h" -- tensorrt_llm/_torch/moe/fused_moe/deep_ep_utils.py tensorrt_llm/_torch/moe/fused_moe/mega_moe/mega_moe_deepgemm.py tensorrt_llm/_torch/moe/fused_moe/communication/nvlink_one_sided.py tests/unittest/_torch/moe/test_moe_backend.py 3rdparty/CMakeLists.txt 3rdparty/fetch_content.jsonLength of output: 55003 🏁 Script executed: #!/bin/bash
set -euo pipefail
h=bad6f813f192c3ca695a6c53890bc8e992bbc0b2
t=acf585991125790b33b94f65e33dae4ea7f428f6
b=21d2f1c253c60da241c187f9489e882f29a31425
echo INTEGRATION
python - "$h" "$b" "$t" <<'PY'
import subprocess,sys,tempfile,pathlib
h,b,t=sys.argv[1:]
paths=subprocess.check_output(['git','diff','--name-only',b,h],text=True).splitlines()+['cpp/tensorrt_llm/common/opUtils.cpp']
for path in paths:
if subprocess.run(['git','cat-file','-e',f'{b}:{path}'],stderr=subprocess.DEVNULL).returncode:
print('HEAD_ADDITION',path); continue
with tempfile.TemporaryDirectory() as d:
files=[]
for label,rev in [('head',h),('base',b),('target',t)]:
f=pathlib.Path(d)/label
f.write_bytes(subprocess.check_output(['git','show',f'{rev}:{path}']))
files.append(str(f))
p=subprocess.run(['git','merge-file','-p',*files],capture_output=True)
expected=subprocess.check_output(['git','show',f'{t if path.endswith("opUtils.cpp") else h}:{path}'])
print('PREVIEW',path,'status',p.returncode,'equals_expected_branch',p.stdout==expected)
PY
echo NATIVE_DIFF
git diff -U3 "$b" "$h" -- cpp/tensorrt_llm/thop/moe/communication/moeAlltoAllOp.cpp cpp/tensorrt_llm/kernels/moe/communication/moeAlltoAllKernels.h cpp/tensorrt_llm/kernels/moe/communication/moeAlltoAllKernels.cu
echo DEEPEP_PATCH
git show "$h:3rdparty/patches/deep_ep_runtime_timeout.patch" | nl -ba
echo NCCLEP_PATCH
git show "$h:3rdparty/patches/nccl_ep_group_timeout.patch" | nl -ba
echo DEEPGEMM_PATCH_CHANGES
git diff -U3 "$b" "$h" -- 3rdparty/patches/deepgemm_configurable_barrier_timeout.patch
echo EXTRA_REFERENCES
for c in "$h" "$t"; do
echo REV="$c"
git grep -n -E 'VariableLengthBuffer\(|NcclEpContext\(|get_nccl_ep_context\(|\.is_warmup *=|set_warmup_flag\(|patch_file|deep_ep_download|nccl_extensions_download' "$c" -- '*.py' '*CMakeLists.txt' '*.cmake' | head -115 || true
doneLength of output: 70622 🏁 Script executed: #!/bin/bash
set -euo pipefail
h=bad6f813f192c3ca695a6c53890bc8e992bbc0b2
t=acf585991125790b33b94f65e33dae4ea7f428f6
b=21d2f1c253c60da241c187f9489e882f29a31425
echo OUTLINES
for f in cpp/tensorrt_llm/deep_ep/CMakeLists.txt cpp/tensorrt_llm/nccl_extensions/CMakeLists.txt tests/unittest/_torch/misc/test_moe_a2a_warmup_timeout.py tests/unittest/_torch/moe/test_communication_factory.py tensorrt_llm/_torch/moe/fused_moe/deep_ep_utils.py; do ast-grep outline "$f" --items all --match 'warmup|timeout|Buffer|create|available|fixture|deep_ep' || true; done
echo BUILD_CONSUMERS
git show "$h:cpp/tensorrt_llm/deep_ep/CMakeLists.txt" | nl -ba | sed -n '55,205p'
git show "$h:cpp/tensorrt_llm/nccl_extensions/CMakeLists.txt" | nl -ba | sed -n '1,180p'
git show "$h:3rdparty/CMakeLists.txt" | nl -ba | sed -n '195,245p'
echo GUARD_TEST_INTEGRATION
git show "$h:tests/unittest/_torch/misc/test_moe_a2a_warmup_timeout.py" | nl -ba | sed -n '20,155p'
git show "$h:tests/unittest/_torch/moe/test_communication_factory.py" | nl -ba | sed -n '20,125p;230,290p'
echo UNCHANGED_TEST_DOUBLES
git show "$h:tests/unittest/_torch/executor/test_pytorch_model_engine_warmup.py" | nl -ba | sed -n '630,732p'
echo ENGINE_AND_EXECUTOR
git show "$h:tensorrt_llm/_torch/pyexecutor/model_engine.py" | nl -ba | sed -n '1147,1180p;1200,1227p;1530,1575p;2625,2660p'
git show "$t:tensorrt_llm/_torch/pyexecutor/py_executor.py" | nl -ba | sed -n '817,858p;1395,1410p'
echo BUFFER_PATH
git show "$h:tensorrt_llm/_torch/moe/fused_moe/deep_ep_utils.py" | nl -ba | sed -n '235,275p'
echo NATIVE_BINDINGS_REFERENCE_ALL
for c in "$h" "$t"; do
git grep -n -E 'moeA2ASetWarmupOp|moeA2ASetTimeoutOp|moe_a2a_set_timeout|moe_a2a_set_warmup|moeA2AGetTimeoutCycles|NUM_TIMEOUT_CYCLES' "$c" -- ':!3rdparty/patches/*' | head -70 || true
done
echo FIXED_TARGET_CITATION
git show "$t:cpp/tensorrt_llm/common/opUtils.cpp" | nl -ba | sed -n '95,143p;170,187p'
echo PATCH_OVERLAP
git show "$h:3rdparty/patches/deep_ep_intranode_combine_fix.patch" | head -75
echo HEAD_TEST_AND_SELECTION
git show "$h:tests/unittest/_torch/moe/test_moe_backend.py" | nl -ba | sed -n '137,191p'
git diff -U3 "$b" "$h" -- tests/integration/test_lists/test-db/l0_cpu.yml tests/integration/test_lists/test-db/l0_b200.ymlLength of output: 61409
SEMANTIC_REVIEW
PASS — no concrete in-scope behavioral incompatibility found in the inspected paths. Revision and integration checksGit verified all three supplied full commit IDs. Git computed I compared both Three-way previews of every existing changed file had no textual conflicts. Each preview preserves the corresponding branch’s changes. The head-only timeout guard and dependency patches remain additions in the combined tree. This verifies the integrated source selection, not runtime safety. Inspected contracts
LimitsThis review used read-only source and Git inspection. I did not build dependencies, execute tests, or run distributed GPU workloads. Patch applicability against downloaded dependency trees and native binary behavior remain unvalidated. PASS applies only to the inspected paths and does not certify the PR. SEMANTIC_RESULT request_id=ff4039db-467f-43d2-9486-f7bb050e41db head=bad6f813f192c3ca695a6c53890bc8e992bbc0b2 target=acf585991125790b33b94f65e33dae4ea7f428f6 merge_base=21d2f1c253c60da241c187f9489e882f29a31425 verdict=PASS 🧠 Learnings usedYou are interacting with an AI system. |
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/bot run --disable-fail-fast |
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PR_Github #75837 [ run ] triggered by Bot. Commit: |
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PR_Github #75837 [ run ] completed with state
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/bot run --disable-fail-fast |
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PR_Github #75866 [ run ] triggered by Bot. Commit: |
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PR_Github #75866 [ run ] completed with state |
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Evaluate behavioral incompatibilities involving the supplied PR changes and the Verify the three full commit IDs and their merge-base. For divergent branches, When head contains target ( First identify changed or removed interfaces and symbols, then search repository Classify findings in prose as cross-branch interactions or PR-local compatibility Use read-only source and Git inspection. Do not modify checked-out files, execute Assess independent findings separately. Uncertainty about one path does not
Write exactly one standalone heading
Then give the verdict, findings or inspected paths, and limitations. For PASS and Copy the supplied identity and commit IDs verbatim. Always include the result Analyze only these fixed revisions in NVIDIA/TensorRT-LLM, not the hosting PR: |
|
Tip For best results, initiate chat on the files or code changes. 🧩 Analysis chain🏁 Script executed: #!/bin/bash
set -euo pipefail
h=bad6f813f192c3ca695a6c53890bc8e992bbc0b2
t=57a35c9a8406a3fa3b7187eda03b7cd0a0ca9fd1
b=21d2f1c253c60da241c187f9489e882f29a31425
for c in "$h" "$t" "$b"; do echo "COMMIT $c"; git cat-file -t "$c"; git rev-parse "$c^{commit}"; done
echo MERGE_BASE; git merge-base --all "$h" "$t"
echo HEAD_PATHS; git diff --name-status "$b" "$h"
echo TARGET_PATHS; git diff --name-status "$b" "$t"
echo TARGET_DIFF; git diff -U4 "$b" "$t"
echo HEAD_CONTRACTS
git diff -U2 "$b" "$h" -- tensorrt_llm/_torch/pyexecutor/model_engine.py tensorrt_llm/_torch/moe/fused_moe/quantization.py tensorrt_llm/_torch/moe/fused_moe/communication/communication_factory.py tensorrt_llm/_torch/moe/fused_moe/nccl_ep_utils.py cpp/tensorrt_llm/thop/moe/communication/moeAlltoAllOp.cppLength of output: 201468 🏁 Script executed: #!/bin/bash
set -euo pipefail
h=bad6f813f192c3ca695a6c53890bc8e992bbc0b2
t=57a35c9a8406a3fa3b7187eda03b7cd0a0ca9fd1
b=21d2f1c253c60da241c187f9489e882f29a31425
echo OUTLINES
for f in tensorrt_llm/_torch/moe/fused_moe/moe_comm_timeout_guard.py tensorrt_llm/_torch/moe/fused_moe/deep_ep_utils.py tensorrt_llm/_torch/moe/fused_moe/nccl_ep_utils.py tests/unittest/_torch/moe/test_moe_backend.py; do ast-grep outline "$f" --items all --match 'timeout|warmup|register|import_deep|destroy|Buffer' || true; done
echo INTEGRATION
python - "$h" "$b" "$t" <<'PY'
import subprocess,sys,tempfile,pathlib
h,b,t=sys.argv[1:]
paths=subprocess.check_output(['git','diff','--name-only',b,h],text=True).splitlines()+['cpp/tensorrt_llm/common/opUtils.cpp']
for path in paths:
if subprocess.run(['git','cat-file','-e',f'{b}:{path}'],stderr=subprocess.DEVNULL).returncode:
print('HEAD_ADDITION',path); continue
with tempfile.TemporaryDirectory() as d:
fs=[]
for label,rev in [('head',h),('base',b),('target',t)]:
f=pathlib.Path(d)/label; f.write_bytes(subprocess.check_output(['git','show',f'{rev}:{path}'])); fs.append(str(f))
p=subprocess.run(['git','merge-file','-p',*fs],capture_output=True)
expected=subprocess.check_output(['git','show',f'{t if path.endswith("opUtils.cpp") else h}:{path}'])
print('PREVIEW',path,'status',p.returncode,'equals_expected',p.stdout==expected)
PY
echo REFERENCES
for c in "$h" "$t"; do
echo "REV $c"
git grep -n -E 'moe_a2a_set_warmup|moeA2AGetTimeoutCycles|_set_moe_a2a_warmup|_moe_a2a_steady_state_budget_for_capture|set_barrier_timeout_seconds|set_timeout_ns|set_timeout_seconds|_import_deep_gemm\(|\.is_warmup *=|set_warmup_flag\(' "$c" -- '*.py' '*.cpp' '*.h' '*.cu' ':!security_scanning/*' | head -160 || true
done
echo GUARD
git show "$h:tensorrt_llm/_torch/moe/fused_moe/moe_comm_timeout_guard.py" | nl -ba | sed -n '30,335p'
echo BACKEND_AND_BUILD_DIFFS
git diff -U3 "$b" "$h" -- tensorrt_llm/_torch/moe/fused_moe/deep_ep_utils.py tensorrt_llm/_torch/moe/fused_moe/mega_moe/mega_moe_deepgemm.py tensorrt_llm/_torch/moe/fused_moe/communication/nvlink_one_sided.py tests/unittest/_torch/moe/test_moe_backend.py 3rdparty/CMakeLists.txt 3rdparty/fetch_content.json
echo SECURITY_CONSUMERS
for c in "$h" "$t"; do git grep -n -E 'security_scanning/|security_scanning\b' "$c" -- '*CMakeLists.txt' '*.cmake' '*.py' '*.sh' '*.yml' '*.yaml' | head -35 || true; done
git diff -U2 "$b" "$t" -- security_scanning/pyproject.toml security_scanning/metadata.json | head -100Length of output: 54882 🏁 Script executed: #!/bin/bash
set -euo pipefail
h=bad6f813f192c3ca695a6c53890bc8e992bbc0b2
t=57a35c9a8406a3fa3b7187eda03b7cd0a0ca9fd1
b=21d2f1c253c60da241c187f9489e882f29a31425
echo OUTLINES
for f in tensorrt_llm/_torch/pyexecutor/model_engine.py tests/unittest/_torch/misc/test_moe_a2a_warmup_timeout.py tests/unittest/_torch/executor/test_pytorch_model_engine_warmup.py scripts/generate_lock_file.py cpp/tensorrt_llm/deep_ep/CMakeLists.txt cpp/tensorrt_llm/nccl_extensions/CMakeLists.txt; do ast-grep outline "$f" --items all --match 'warmup|capture|generate|main|timeout|test_' | head -65 || true; done
echo PATCHES
git show "$h:3rdparty/patches/deep_ep_runtime_timeout.patch" | nl -ba
git show "$h:3rdparty/patches/nccl_ep_group_timeout.patch" | nl -ba
git diff -U2 "$b" "$h" -- 3rdparty/patches/deepgemm_configurable_barrier_timeout.patch
echo NATIVE_BUDGETS
git diff -U2 "$b" "$h" -- cpp/tensorrt_llm/kernels/moe/communication/moeAlltoAllKernels.cu cpp/tensorrt_llm/kernels/moe/communication/moeAlltoAllKernels.h
echo BUILD_CONSUMERS
git show "$h:cpp/tensorrt_llm/deep_ep/CMakeLists.txt" | nl -ba | sed -n '55,205p'
git show "$h:cpp/tensorrt_llm/nccl_extensions/CMakeLists.txt" | nl -ba | sed -n '20,145p'
echo ENGINE
git show "$h:tensorrt_llm/_torch/pyexecutor/model_engine.py" | nl -ba | sed -n '1150,1180p;1200,1230p;1538,1575p;2627,2655p'
echo EXECUTOR_TARGET
git show "$t:tensorrt_llm/_torch/pyexecutor/py_executor.py" | nl -ba | sed -n '817,855p;1395,1410p'
echo UNCHANGED_STUBS
git show "$h:tests/unittest/_torch/executor/test_pytorch_model_engine_warmup.py" | nl -ba | sed -n '635,732p'
echo SECURITY_GENERATOR
git show "$t:scripts/generate_lock_file.py" | nl -ba | sed -n '30,100p'
echo TARGET_CITATION
git show "$t:cpp/tensorrt_llm/common/opUtils.cpp" | nl -ba | sed -n '100,133p;173,188p'Length of output: 83765 🏁 Script executed: #!/bin/bash
set -euo pipefail
h=bad6f813f192c3ca695a6c53890bc8e992bbc0b2
t=57a35c9a8406a3fa3b7187eda03b7cd0a0ca9fd1
b=21d2f1c253c60da241c187f9489e882f29a31425
echo FACTORY_OUTLINE
ast-grep outline tensorrt_llm/_torch/moe/fused_moe/communication/communication_factory.py --items all --view expanded | head -90 || true
echo FACTORY
git show "$h:tensorrt_llm/_torch/moe/fused_moe/communication/communication_factory.py" | nl -ba | sed -n '130,245p;350,405p;475,525p'
echo CONTEXT
git show "$h:tensorrt_llm/_torch/moe/fused_moe/nccl_ep_utils.py" | nl -ba | sed -n '36,70p;205,272p;386,420p;455,510p'
echo INTEGRATION_TESTS
git show "$h:tests/unittest/_torch/misc/test_moe_a2a_warmup_timeout.py" | nl -ba | sed -n '20,150p'
git show "$h:tests/unittest/_torch/executor/test_pytorch_model_engine_warmup.py" | nl -ba | sed -n '732,835p'
git show "$h:tests/unittest/_torch/moe/test_communication_factory.py" | nl -ba | sed -n '35,115p;235,290p'
echo DEEPEP_PATCH_OVERLAP
git show "$h:3rdparty/patches/deep_ep_intranode_combine_fix.patch" | sed -n '1,70p'
echo CMAKE_PARSE
git show "$h:3rdparty/CMakeLists.txt" | nl -ba | sed -n '50,95p;130,203p'
echo ADDITIONAL_REFERENCES
for c in "$h" "$t"; do
echo "REV $c"
git grep -n -E 'VariableLengthBuffer\(|NcclEpContext\(|deep_gemm.*SimpleNamespace|patch_file|moe_a2a_set_timeout|moeA2ASetWarmupOp' "$c" -- '*.py' '*.cpp' '*.cmake' '*CMakeLists.txt' | head -75 || true
done
echo SECURITY_GENERATOR_DESTINATION
git show "$t:scripts/generate_lock_file.py" | nl -ba | sed -n '335,405p'
echo TEST_CITATION
git show "$h:tests/unittest/_torch/moe/test_moe_backend.py" | nl -ba | sed -n '137,191p'
echo IDENTITY_RECHECK
git rev-parse "$h^{commit}" "$t^{commit}" "$b^{commit}"
git merge-base --all "$h" "$t"Length of output: 52495
SEMANTIC_REVIEW
PASS — no concrete in-scope behavioral incompatibility found in the inspected paths. Revision and integration checksGit verified all three supplied full commit IDs. Git computed I compared both Three-way previews of every existing head-changed file and Inspected contracts
The target’s LimitsThis review used read-only source and Git inspection. I did not execute project code, tests, builds, or distributed GPU workloads. Patch applicability against downloaded dependency trees and native binary behavior remain unvalidated. I did not use current PR discussion or CI status as evidence. PASS applies only to the inspected paths and does not certify the PR. SEMANTIC_RESULT request_id=35529cc8-cccc-401e-9cc6-c5f1ad09ba39 head=bad6f813f192c3ca695a6c53890bc8e992bbc0b2 target=57a35c9a8406a3fa3b7187eda03b7cd0a0ca9fd1 merge_base=21d2f1c253c60da241c187f9489e882f29a31425 verdict=PASS 🧠 Learnings usedYou are interacting with an AI system. |
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…3: Make MoE communication timeouts follow the warmup phase Merge back the change of NVIDIA#19593 (release/1.3, f5eaf58) to main. MoE communication kernels that wait for peers inside the kernel trap once a peer is late by more than a device-side timeout. During warmup, one-time per-rank work such as JIT compilation and autotuning can delay a healthy rank by minutes, so a process-wide MoECommTimeoutGuard now relaxes those timeouts while the engine warms up and restores them for serving. NVLinkOneSided, DeepGEMM MegaMoE, DeepEP and NcclEP each register a MoECommTimeoutProxy. Only the CUDA-graph capture pass runs with the serving timeouts, because captured graphs keep their launch arguments. Adaptations to main: - Replace the NVLinkOneSided-only warmup budget of NVIDIA#19610 with the guard; TRTLLM_NVLINK_ONE_SIDED_A2A_[WARMUP_]TIMEOUT_SEC become deprecated aliases of TRTLLM_MOE_COMM_[WARMUP_]TIMEOUT_SEC, like TRTLLM_MOE_A2A_*. - Move the capture-pass switch into DecoderRunner after the runner refactor. - Re-author the DeepGEMM barrier-timeout patch for b64107f2. NVIDIA#19727 dropped the NVIDIA#18179 patch when it bumped DeepGEMM, so this also makes DG_JIT_BARRIER_TIMEOUT_SECONDS take effect again. - Let a fetch_content.json dependency list several patch files. Signed-off-by: xxi <xxi@nvidia.com>
…n timeouts follow the warmup phase (#20246) Signed-off-by: xxi <xxi@nvidia.com>
9 participants
Description
Several MoE communication kernels wait for their peers inside the kernel and trap once a peer is late by more than a device-side timeout. The trap is a sticky CUDA error, so every waiting rank dies. During warmup a healthy rank can arrive minutes late while it pays for one-time work such as kernel JIT, autotuning or module loading, and no collective separates that work from the next launch. On GB300, with the CUDA driver's JIT cache on shared network storage, single ranks reached their first DeepGEMM MegaMoE launch 55-73 s late and the other ranks trapped with
DeepGEMM grid sync timeout (60s).Four backends have such a timeout, and only NVLinkOneSided relaxed it during warmup (#17376). This PR gives all four one mechanism: one guard relaxes their timeouts while the engine warms up.
How it works
tensorrt_llm/_torch/moe/fused_moe/moe_comm_timeout_guard.py: a process-wideMoECommTimeoutGuardowns the warmup state. It resolves two budgets and, on each warmup transition, pushes the current one to every registeredMoECommTimeoutProxy.TRTLLM_MOE_COMM_WARMUP_TIMEOUT_SEC: warmup budget for every backend, 1800 s by default.TRTLLM_MOE_COMM_TIMEOUT_SEC: serving budget; when unset, each backend keeps its native timeout.TRTLLM_MOE_A2A_WARMUP_TIMEOUT_SECandTRTLLM_MOE_A2A_TIMEOUT_SECkeep working as deprecated aliases with a warning; they now apply to every backend.ValueErrornaming the variable.CommunicationFactory.create_strategyresolves the budgets before it tries any strategy, because auto-selection treats a constructor error as "backend unavailable" and would otherwise hide the mistake behind a fallback.PyTorchModelEngine.is_warmupsetter callsset_moe_comm_warmup(). During CUDA-graph warmup the pass that captures runs insidemoe_comm_serving_timeouts(), because a captured graph keeps the timeouts that were current at capture and serving replays it; the warmup-only pass keeps the warmup timeouts. Switching while a graph is being captured raises.torch.ops.trtllm.moe_a2a_set_timeout, replacingmoe_a2a_set_warmupand the C++ environment parsingdeep_gemm.set_barrier_timeout_seconds, a new kernel argument (extends3rdparty/patches/deepgemm_configurable_barrier_timeout.patch); the JIT signature does not changeDG_JIT_BARRIER_TIMEOUT_SECONDSdeep_ep.set_timeout_seconds: a device variable, plus the CPU-side wait timeout (new3rdparty/patches/deep_ep_runtime_timeout.patch)nccl.ep.Group.set_timeout_ns, one proxy per group (new3rdparty/patches/nccl_ep_group_timeout.patch)NCCL_EP_TIMEOUT_MS, elseGroupConfig.timeout_ns, else ~100 s3rdparty/CMakeLists.txt:patch_filemay list several patches, applied and verified in order. The patch step also no longer contains semicolons: CMake split the command at them, so the reverse dry-run that verifies the tree never ran, and re-running the step on a patched tree failed.Notes for reviewers
PyExecutorsetsis_warmupon both, andset_warmup_flagrestores the previous value instead of clearing it._deps/deepgemm-srcbefore reconfiguring, because the DeepGEMM patch changed; the patch step reports the inconsistency. CI builds from scratch.Test Coverage
tests/unittest/_torch/moe/test_moe_comm_timeout_guard.py:TestBudgetResolutionandTestGuard(cpu_only, collected byl0_cpu.ymlthroughunittest/_torch/moe): budget resolution, deprecated aliases, validation, warmup transitions, weak proxy registration, and the capture check.TestBackendProxies(added tol0_b200.yml): each proxy round-trips through its native setter. These tests import their backends inside the test, so CPU-only collection of the file stays light.tests/unittest/_torch/misc/test_moe_a2a_warmup_timeout.py(rewritten,cpu_only, added tol0_cpu.ymlbecause the GPU lists deselectcpu_only): the engine switches the timeouts both ways, and only the capturing CUDA-graph pass uses the serving timeouts.tests/unittest/_torch/moe/test_communication_factory.py: an invalid timeout fails before any strategy is constructed, and NcclEP is rejected with a reason whenGroup.set_timeout_nsis missing.tests/unittest/_torch/moe/test_moe_backend.py:_import_deep_gemmrejects a bundled DeepGEMM withoutset_barrier_timeout_seconds(new test, added tol0_b200.yml), and the existing pre-SiTu stub gains that API so it still reaches the SiTu check.perf/test_perf_sanity.py::test_e2e[disagg-gen_only-gb300_deepseek-v4-pro-fp4_8k1k_con180_ctx3_dep4_gen1_dep32_eplb384_mtp3_ccb-NIXL]). The same run for this revision is pending.PR Checklist
Please review the following before submitting your PR:
PR description clearly explains what and why. If using CodeRabbit's summary, please make sure it makes sense.
PR Follows TRT-LLM CODING GUIDELINES to the best of your knowledge.
Test cases are provided for new code paths (see test instructions)
If PR introduces API changes, an appropriate PR label is added - either
api-compatibleorapi-breaking. Forapi-breaking, includeBREAKINGin the PR title.Any new dependencies have been scanned for license and vulnerabilities
CODEOWNERS updated if ownership changes
Documentation updated as needed
Update tava architecture diagram if there is a significant design change in PR.
The reviewers assigned automatically/manually are appropriate for the PR.
Please check this after reviewing the above items as appropriate for this PR.
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/bot help.Dev Engineer Review
A shared timeout guard now applies a warmup budget across NVLinkOneSided, DeepGEMM MegaMoE, DeepEP, and NCCL EP. Serving uses each backend’s native timeout unless configured otherwise. The guard validates timeout settings, supports deprecated A2A aliases, and prevents timeout transitions during CUDA graph capture.
The model engine switches timeout state at warmup transitions. CUDA graph setup performs a warmup-only pass, then captures under serving timeouts. The C++ all-to-all API replaces warmup-state selection with configurable timeout setter/getter operators. Dependency patches add runtime timeout APIs for DeepEP, DeepGEMM, and NCCL EP; CMake now applies ordered patch lists.
Backend compatibility checks reject NCCL EP and DeepGEMM installations that lack the required timeout APIs. A source-only review reported a test-double incompatibility. The changed mock and added regression test appear to address it, but test execution is not reported. CI information in the supplied context reports an unstable pipeline and gives no result for a later run.
QA Engineer Review
Changed test files cover timeout budget parsing and aliases, warmup/serving transitions, capture behavior, backend timeout proxies, backend capability checks, and the DeepGEMM missing-API case. The B200 list includes the timeout-guard test and both DeepGEMM import checks. The CPU list includes the warmup-timeout test. The communication-factory tests are not identified in the supplied test-list entries.
Coverage verdict: needs follow-up. The CI pipeline was reported as unstable, and no result is supplied for the subsequent run. No tests were run as part of this summary.
Per-File QA Perspective
tensorrt_llm/_torch/moe/fused_moe/MOE_DEVELOPER_GUIDE.md: Check that timeout guard usage, capture restrictions, and backend proxy guidance match implemented behavior.tensorrt_llm/_torch/moe/fused_moe/mega_moe/mega_moe_deepgemm.py: Verify proxy registration and thatNonerestores DeepGEMM’s native timeout.tensorrt_llm/_torch/pyexecutor/model_engine.py: Verify engine warmup transitions update timeout state and graph capture uses serving timeouts after the warmup-only pass.3rdparty/CMakeLists.txt: Verify single-file and ordered JSON patch lists apply consistently, including failure handling when patch state is inconsistent.3rdparty/fetch_content.json: Verify the DeepEP and NCCL EP dependencies select the intended timeout patches.3rdparty/patches/deep_ep_runtime_timeout.patch: Verify runtime timeout bounds, defaults, and CPU/device timeout conversion.3rdparty/patches/deepgemm_configurable_barrier_timeout.patch: Verify timeout API bindings, default behavior, and timeout handling in both MegaMoE kernel variants.3rdparty/patches/nccl_ep_group_timeout.patch: Verify group timeout setter/getter behavior, conversion precision, and Python binding forwarding.cpp/tensorrt_llm/kernels/moe/communication/moeAlltoAllKernels.cu: Verify environment parsing, fallback defaults, and conversion of seconds to cycles.cpp/tensorrt_llm/kernels/moe/communication/moeAlltoAllKernels.h: Verify launch parameter documentation and consistency with the removed helper declaration.cpp/tensorrt_llm/thop/moe/communication/moeAlltoAllOp.cpp: Verify the new timeout setter/getter operators, range checks, and launch-time timeout selection.tensorrt_llm/_torch/moe/fused_moe/communication/communication_factory.py: Verify invalid timeout configuration fails before backend construction and unsupported NCCL EP is reported unavailable.tensorrt_llm/_torch/moe/fused_moe/communication/nvlink_one_sided.py: Verify proxy registration and that an unset override restores the native all-to-all timeout.tensorrt_llm/_torch/moe/fused_moe/deep_ep_utils.py: Verify DeepEP import handling and proxy registration for buffer initialization.tensorrt_llm/_torch/moe/fused_moe/nccl_ep_utils.py: Verify NCCL EP capability detection, seconds-to-nanoseconds conversion, and proxy cleanup during teardown.tensorrt_llm/_torch/moe/fused_moe/quantization.py: Verify MegaMoE rejects DeepGEMM versions that lack the barrier-timeout API.tensorrt_llm/_torch/moe/fused_moe/moe_comm_timeout_guard.py: Verify environment validation, alias conflicts, timeout bounds, proxy lifecycle, and capture-safe state transitions.tests/integration/test_lists/test-db/l0_b200.yml: Adds the timeout-guard test and DeepGEMM missing-timeout-API import test to the B200 CI list.tests/integration/test_lists/test-db/l0_cpu.yml: Addstest_moe_a2a_warmup_timeout.pyto the CPU CI list.tests/unittest/_torch/misc/test_moe_a2a_warmup_timeout.py: Tests warmup transitions and serving timeouts during graph capture; listed inl0_cpu.yml.tests/unittest/_torch/moe/test_communication_factory.py: Tests early timeout validation and NCCL EP timeout capability handling. No changed test-list entry is identified in the supplied context.tests/unittest/_torch/moe/test_moe_comm_timeout_guard.py: Tests budget parsing, guard state, capture restrictions, and backend proxies; listed inl0_b200.yml.tests/unittest/_torch/moe/test_moe_backend.py: Updates the existing DeepGEMM mock and adds missing-timeout-API rejection coverage; the new test is listed inl0_b200.yml.