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[None][infra] Pin the version for triton to 3.3.1 (#6508) (#6519) #6549
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…IA#6519) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com>
📝 WalkthroughWalkthroughThe Changes
Estimated code review effort🎯 1 (Trivial) | ⏱️ ~2 minutes Possibly related PRs
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Actionable comments posted: 0
🧹 Nitpick comments (1)
requirements.txt (1)
65-65: Confirm that skipping Triton on non-x86_64 will not break runtime importsBy adding the environment marker
triton==3.3.1; platform_machine == "x86_64"
pipwill omit Triton entirely on arm64/AArch64 and other architectures.
If any module in TensorRT-LLM does an unconditionalimport triton, those
deployments will now fail at runtime with anImportError.
- Double-check that all code paths using Triton are already guarded by the
same architecture check or fallback logic.- Verify that
constraints.txtdoes not pin Triton unconditionally,
otherwise the two files may fight duringpip install -c constraints.txt -r requirements.txt.- Consider adding an explicit alternative (e.g.
triton==3.0.*) for
non-x86_64 targets if the project still needs Triton there.
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requirements.txt(1 hunks)
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- GitHub Check: Pre-commit Check
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/bot run |
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PR_Github #13788 [ run ] triggered by Bot |
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/bot skip --comment "Cherry-pick from release/0.21 and SBSA CI testing is currently disabled on main" |
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PR_Github #13805 [ skip ] triggered by Bot |
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PR_Github #13788 [ run ] completed with state |
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PR_Github #13805 [ skip ] completed with state |
…IA#6519) (NVIDIA#6549) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com> Signed-off-by: Lanyu Liao <lancelly@users.noreply.github.com>
…IA#6519) (NVIDIA#6549) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com>
…IA#6519) (NVIDIA#6549) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com>
…VIDIA#6282 NVIDIA#6279 * [None][infra] Pin the version for triton to 3.3.1 (NVIDIA#6508) Signed-off-by: qqiao <qqiao@nvidia.com> * [None][infra] Pin the version for triton to 3.3.1 (NVIDIA#6508) (NVIDIA#6519) (NVIDIA#6549) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com> * [fix]: use safeInitRowMax instead of fp32_lowest to avoid NaN (NVIDIA#7087) Signed-off-by: Yao Yao <lowsfer@users.noreply.github.com> * [None][fix] Fix a numerical stability issue for XQA with spec dec Signed-off-by: Yao Yao <lowsfer@users.noreply.github.com> * fix typo Signed-off-by: Jhao-Ting Chen <jhaotingc@nvidia.com> * fix precompiled multi_query_token kernel not having is_fp8_out hash key (NVIDIA#6279) Signed-off-by: Jhao-Ting Chen <jhaotingc@nvidia.com> * [fix] Fix missing fields in xqa kernel cache key (NVIDIA#6282) Signed-off-by: Yao Yao <lowsfer@users.noreply.github.com> --------- Signed-off-by: qqiao <qqiao@nvidia.com> Signed-off-by: Yanchao Lu <yanchaol@nvidia.com> Signed-off-by: Yao Yao <lowsfer@users.noreply.github.com> Signed-off-by: Jhao-Ting Chen <jhaotingc@nvidia.com> Co-authored-by: Emma Qiao <qqiao@nvidia.com> Co-authored-by: Yanchao Lu <yanchaol@nvidia.com> Co-authored-by: Yao Yao <lowsfer@users.noreply.github.com>
Summary by CodeRabbit
tritonlibrary is only installed on x86_64 platforms.Description
Test Coverage
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/bot [-h] ['run', 'kill', 'skip', 'reuse-pipeline'] ...Provide a user friendly way for developers to interact with a Jenkins server.
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--reuse-test (optional)pipeline-id(OPTIONAL) : Allow the new pipeline to reuse build artifacts and skip successful test stages from a specified pipeline or the last pipeline if no pipeline-id is indicated. If the Git commit ID has changed, this option will be always ignored. The DEFAULT behavior of the bot is to reuse build artifacts and successful test results from the last pipeline.--disable-reuse-test(OPTIONAL) : Explicitly prevent the pipeline from reusing build artifacts and skipping successful test stages from a previous pipeline. Ensure that all builds and tests are run regardless of previous successes.--disable-fail-fast(OPTIONAL) : Disable fail fast on build/tests/infra failures.--skip-test(OPTIONAL) : Skip all test stages, but still run build stages, package stages and sanity check stages. Note: Does NOT update GitHub check status.--stage-list "A10-PyTorch-1, xxx"(OPTIONAL) : Only run the specified test stages. Examples: "A10-PyTorch-1, xxx". Note: Does NOT update GitHub check status.--gpu-type "A30, H100_PCIe"(OPTIONAL) : Only run the test stages on the specified GPU types. Examples: "A30, H100_PCIe". Note: Does NOT update GitHub check status.--test-backend "pytorch, cpp"(OPTIONAL) : Skip test stages which don't match the specified backends. Only support [pytorch, cpp, tensorrt, triton]. Examples: "pytorch, cpp" (does not run test stages with tensorrt or triton backend). Note: Does NOT update GitHub pipeline status.--only-multi-gpu-test(OPTIONAL) : Only run the multi-GPU tests. Note: Does NOT update GitHub check status.--disable-multi-gpu-test(OPTIONAL) : Disable the multi-GPU tests. Note: Does NOT update GitHub check status.--add-multi-gpu-test(OPTIONAL) : Force run the multi-GPU tests in addition to running L0 pre-merge pipeline.--post-merge(OPTIONAL) : Run the L0 post-merge pipeline instead of the ordinary L0 pre-merge pipeline.--extra-stage "H100_PCIe-TensorRT-Post-Merge-1, xxx"(OPTIONAL) : Run the ordinary L0 pre-merge pipeline and specified test stages. Examples: --extra-stage "H100_PCIe-TensorRT-Post-Merge-1, xxx".--detailed-log(OPTIONAL) : Enable flushing out all logs to the Jenkins console. This will significantly increase the log volume and may slow down the job.--debug(OPTIONAL) : Experimental feature. Enable access to the CI container for debugging purpose. Note: Specify exactly one stage in thestage-listparameter to access the appropriate container environment. Note: Does NOT update GitHub check status.For guidance on mapping tests to stage names, see
docs/source/reference/ci-overview.mdand the
scripts/test_to_stage_mapping.pyhelper.kill
killKill all running builds associated with pull request.
skip
skip --comment COMMENTSkip testing for latest commit on pull request.
--comment "Reason for skipping build/test"is required. IMPORTANT NOTE: This is dangerous since lack of user care and validation can cause top of tree to break.reuse-pipeline
reuse-pipelineReuse a previous pipeline to validate current commit. This action will also kill all currently running builds associated with the pull request. IMPORTANT NOTE: This is dangerous since lack of user care and validation can cause top of tree to break.