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@chzblych chzblych commented Sep 25, 2025

Summary by CodeRabbit

  • Documentation

    • Updated Support Matrix: container version 25.08 and TensorRT release notes to 10.13.
  • Chores

    • Upgraded dependency baseline to CUDA 13: cuda-python >=13, nvidia-ml-py >=13, NCCL cu13; adjusted TensorRT version constraints; removed explicit pynvml pin.
    • Updated installer to fetch CUDA packages from the NVIDIA .com download host.
  • Tests

    • CI sanity checks now run against CUDA 13 images.

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@chzblych chzblych requested review from a team as code owners September 25, 2025 05:56
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📝 Walkthrough

Walkthrough

Repository updates align CUDA/TensorRT stack to newer versions, adjust CI to use CUDA 13 images, update dependency constraints, fix NVIDIA download domains in an installer script, refresh documentation versions, and correct a comment URL. No functional logic or control flow changes introduced.

Changes

Cohort / File(s) Summary of changes
NVIDIA download domain fix
docker/common/install_tensorrt.sh
Switched wget sources from developer.download.nvidia.cn to developer.download.nvidia.com for CUDA-related RPMs in Rocky Linux path.
CUDA 13 and dependency alignment
requirements.txt, jenkins/L0_Test.groovy
requirements: bump cuda-python to >=13, nvidia-ml-py to >=13; remove explicit pynvml==12.0.0; switch nvidia-nccl-cu12 to nvidia-nccl-cu13; relax TensorRT spec to >=10.11.0 and keep ~=10.13.0. Jenkins: change sanity-check image tags from dlfw/ to cuda13/ for x86_64 and aarch64 PY312.
Docs version refresh
docs/source/legacy/reference/support-matrix.md
Updated Software Compatibility table: container version 25.06 → 25.08; TensorRT release notes reference 10.11 → 10.13.
Comment/link correction
tensorrt_llm/auto_parallel/cluster_info.py
Updated a comment URL in the A40 entry; no code behavior changes.

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~10–15 minutes

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❌ Failed checks (2 warnings)
Check name Status Explanation Resolution
Description Check ⚠️ Warning The PR description currently includes only the repository’s template with placeholder sections and does not provide any actual summary of changes, explanation of the issue and solution, or details on test coverage, leaving reviewers without context to understand or validate the dependency updates. Please populate the Description section with a concise explanation of the CUDA 13.0 dependency updates and their rationale, and complete the Test Coverage section by listing relevant tests or validation steps to ensure comprehensive review and verification.
Docstring Coverage ⚠️ Warning Docstring coverage is 0.00% which is insufficient. The required threshold is 80.00%. You can run @coderabbitai generate docstrings to improve docstring coverage.
✅ Passed checks (1 passed)
Check name Status Explanation
Title Check ✅ Passed The title “[None][chore] Some clean-ups for CUDA 13.0 dependencies” accurately follows the repository’s naming convention and clearly summarizes the primary changes of updating various components to CUDA 13.0 dependencies across multiple files. It is concise, specific, and informative for anyone scanning the pull request history.
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Actionable comments posted: 0

Caution

Some comments are outside the diff and can’t be posted inline due to platform limitations.

⚠️ Outside diff range comments (1)
tensorrt_llm/auto_parallel/cluster_info.py (1)

1-1: Add NVIDIA Apache-2.0 header (compliance).

This Python source lacks the required NVIDIA Apache-2.0 header per repo guidelines. Please prepend it.

+# Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#     http://www.apache.org/licenses/LICENSE-2.0
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
 import copy
🧹 Nitpick comments (2)
docker/common/install_tensorrt.sh (1)

98-99: Add domain fallback and strengthen RPM retrieval.

Good switch to the canonical domain. Consider a fallback to the .cn mirror and keep retries; also prefer verifying signatures when feasible.

-        wget --retry-connrefused --timeout=180 --tries=10 --continue "https://developer.download.nvidia.com/compute/cuda/repos/rhel8/${ARCH3}/${pkg}.rpm"
+        wget --retry-connrefused --timeout=180 --tries=10 --continue "https://developer.download.nvidia.com/compute/cuda/repos/rhel8/${ARCH3}/${pkg}.rpm" \
+        || wget --retry-connrefused --timeout=180 --tries=10 --continue "https://developer.download.nvidia.cn/compute/cuda/repos/rhel8/${ARCH3}/${pkg}.rpm"

Optionally, after downloads:

  • Import NVIDIA CUDA repo key for RHEL and verify RPM signatures before install (rpmkeys --import …; rpm --checksig …) if this environment allows it.
requirements.txt (1)

7-7: Cap CUDA dependencies and confirm torch index intent

  • requirements.txt (lines 7, 18, 24–25, 32–33): update
    cuda-python>=13cuda-python>=13,<14
    nvidia-ml-py>=13nvidia-ml-py>=13,<14
  • Verify extra-index-url still targets cu128 and torch is pinned to 2.8.0[a0]; switch to a CUDA 13 wheel index once available.
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📥 Commits

Reviewing files that changed from the base of the PR and between 0945403 and 6530afc.

📒 Files selected for processing (5)
  • docker/common/install_tensorrt.sh (1 hunks)
  • docs/source/legacy/reference/support-matrix.md (1 hunks)
  • jenkins/L0_Test.groovy (2 hunks)
  • requirements.txt (2 hunks)
  • tensorrt_llm/auto_parallel/cluster_info.py (1 hunks)
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**/*.{h,hpp,hh,hxx,cpp,cxx,cc,cu,cuh,py}

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Files:

  • tensorrt_llm/auto_parallel/cluster_info.py
**/*.py

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**/*.py: Python code must target Python 3.8+.
Indent Python code with 4 spaces; do not use tabs.
Maintain module namespace when importing; prefer 'from package.subpackage import foo' then 'foo.SomeClass()' instead of importing the class directly.
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Files:

  • tensorrt_llm/auto_parallel/cluster_info.py
**/*.{cpp,cxx,cc,h,hpp,hh,hxx,cu,cuh,py}

📄 CodeRabbit inference engine (CODING_GUIDELINES.md)

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Files:

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🧠 Learnings (2)
📓 Common learnings
Learnt from: farshadghodsian
PR: NVIDIA/TensorRT-LLM#7101
File: docs/source/blogs/tech_blog/blog9_Deploying_GPT_OSS_on_TRTLLM.md:36-36
Timestamp: 2025-08-21T00:16:56.457Z
Learning: TensorRT-LLM container release tags in documentation should only reference published NGC container images. The README badge version may be ahead of the actual published container versions.
📚 Learning: 2025-08-21T00:16:56.457Z
Learnt from: farshadghodsian
PR: NVIDIA/TensorRT-LLM#7101
File: docs/source/blogs/tech_blog/blog9_Deploying_GPT_OSS_on_TRTLLM.md:36-36
Timestamp: 2025-08-21T00:16:56.457Z
Learning: TensorRT-LLM container release tags in documentation should only reference published NGC container images. The README badge version may be ahead of the actual published container versions.

Applied to files:

  • docs/source/legacy/reference/support-matrix.md
🧬 Code graph analysis (1)
docker/common/install_tensorrt.sh (1)
tests/integration/defs/conftest.py (1)
  • wget (71-74)
⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (1)
  • GitHub Check: Pre-commit Check
🔇 Additional comments (3)
tensorrt_llm/auto_parallel/cluster_info.py (1)

179-179: A40 datasheet URL fix — LGTM.

Correct reference; no functional impact.

docs/source/legacy/reference/support-matrix.md (1)

155-157: Version bumps look fine; confirm published container tag.

Please verify NGC container 25.08 is published and corresponds to the supported stack; also ensure 10.13 release notes link is stable for the lifecycle of this doc.

Given prior guidance that docs must only reference published NGC tags, confirm 25.08 exists and matches the tested images.

jenkins/L0_Test.groovy (1)

2265-2265: Only new “cuda13/” entries remainrg over jenkins/** shows only "cuda13/" at L2265 and L2304, no dlfw/ references. Please manually verify that Artifactory uploads use ${UPLOAD_PATH}/${arch}/cuda13/.

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PR_Github #19901 [ run ] triggered by Bot

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PR_Github #19901 [ run ] completed with state SUCCESS
/LLM/main/L0_MergeRequest_PR pipeline #14978 completed with status: 'FAILURE'

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/bot run

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PR_Github #19951 [ run ] triggered by Bot

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PR_Github #19951 [ run ] completed with state SUCCESS
/LLM/main/L0_MergeRequest_PR pipeline #15020 completed with status: 'SUCCESS'
Pipeline passed with automatic retried tests. Check the rerun report for details.

@chzblych chzblych merged commit 7e2521a into NVIDIA:main Sep 26, 2025
8 of 9 checks passed
@chzblych chzblych deleted the nccl-update branch September 26, 2025 00:47
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