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[None][doc] Use hash id for external link #7641
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Signed-off-by: nv-guomingz <137257613+nv-guomingz@users.noreply.github.com>
📝 WalkthroughWalkthroughUpdates Sphinx docs config to use a commit-hash-based source link and rename the project. Edits multiple docs pages to adjust cross-references and wording. Adds an anchor and updates a link target in the installation guide. No runtime or API changes. Changes
Estimated code review effort🎯 2 (Simple) | ⏱️ ~10 minutes Pre-merge checks (2 passed, 1 warning)❌ Failed checks (1 warning)
✅ Passed checks (2 passed)
✨ Finishing Touches
🧪 Generate unit tests
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Actionable comments posted: 0
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⚠️ Outside diff range comments (2)
docs/source/conf.py (2)
1-1: Add NVIDIA Apache-2.0 header per guidelines.Docs config is a Python source file; add the SPDX header with current year.
+ # Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved. + # SPDX-License-Identifier: Apache-2.0 # Configuration file for the Sphinx documentation builder.
24-27: Make commit-hash resolution robust (no .git or pygit2).Building docs in tarball environments or without pygit2 will fail. Add fallbacks to env vars (e.g., GITHUB_SHA) and a sane default to avoid breaking builds while preserving the hash when available.
-# Get the git commit hash -repo = pygit2.Repository('.') -commit_hash = str(repo.head.target)[:7] # Get first 7 characters of commit hash +# Get the git commit hash (robust to missing .git/pygit2) +try: + repo = pygit2.Repository('.') # requires .git and pygit2 + commit_hash = str(repo.head.target)[:7] +except Exception: + sha = os.environ.get('GITHUB_SHA') or os.environ.get('COMMIT_SHA') + commit_hash = (sha[:7] if sha else 'main')No change needed to the myst_url_schemes entry; it will reuse commit_hash.
Also applies to: 80-81
🧹 Nitpick comments (3)
docs/source/features/paged-attention-ifb-scheduler.md (1)
138-138: Reinstate cross-reference instead of plain text.Dropping the link is a UX regression. Point to the exact section using the new commit-hash “source:” scheme.
-Previously we recommended enabling paged context attention even though in our case study it didn't affect performance significantly. Now that we understand the TensorRT LLM scheduler, we can explain why this is beneficial. In short, we recommend enabling it because it enables context chunking, which allows the context phase of a request to be broken up into pieces and processed over several execution iterations, allowing the engine to provide a more stable balance of context and generation phase execution. +Previously we recommended enabling [paged context attention](source:docs/source/features/useful-build-time-flags.md#paged-context-attention) even though in our case study it didn't affect performance significantly. Now that we understand the TensorRT LLM scheduler, we can explain why this is beneficial. In short, we recommend enabling it because it enables context chunking, which allows the context phase of a request to be broken up into pieces and processed over several execution iterations, allowing the engine to provide a more stable balance of context and generation phase execution.docs/source/conf.py (1)
19-22: Project naming consistency.You renamed the Sphinx project to “TensorRT LLM”, but Breathe still uses “TensorRT-LLM”. If intentional, fine; otherwise unify to avoid confusion in generated docs. Also prefer “NVIDIA” capitalization.
-project = 'TensorRT LLM' -copyright = '2025, NVidia' -author = 'NVidia' +project = 'TensorRT LLM' +copyright = '2025, NVIDIA' +author = 'NVIDIA'docs/source/installation/build-from-source-linux.md (1)
161-161: Fix link text to match path.The visible text says “benchmark/cpp” but the link path is “benchmarks/cpp/”. Align the label.
-To use the C++ benchmark scripts under [benchmark/cpp](source:benchmarks/cpp/), for example `gptManagerBenchmark.cpp`, add the `--benchmarks` option: +To use the C++ benchmark scripts under [benchmarks/cpp](source:benchmarks/cpp/), for example `gptManagerBenchmark.cpp`, add the `--benchmarks` option:
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📒 Files selected for processing (4)
docs/source/conf.py(2 hunks)docs/source/features/paged-attention-ifb-scheduler.md(1 hunks)docs/source/features/sampling.md(4 hunks)docs/source/installation/build-from-source-linux.md(2 hunks)
🧰 Additional context used
📓 Path-based instructions (3)
**/*.{h,hpp,hh,hxx,cpp,cxx,cc,cu,cuh,py}
📄 CodeRabbit inference engine (CODING_GUIDELINES.md)
Use only spaces, no tabs; indent with 4 spaces.
Files:
docs/source/conf.py
**/*.py
📄 CodeRabbit inference engine (CODING_GUIDELINES.md)
**/*.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.
Python filenames should be snake_case (e.g., some_file.py).
Python classes use PascalCase names.
Functions and methods use snake_case names.
Local variables use snake_case; prefix 'k' for variables that start with a number (e.g., k_99th_percentile).
Global variables use upper SNAKE_CASE prefixed with 'G' (e.g., G_MY_GLOBAL).
Constants use upper SNAKE_CASE (e.g., MY_CONSTANT).
Avoid shadowing variables from an outer scope.
Initialize all externally visible members of a class in the constructor.
Prefer docstrings for interfaces that may be used outside a file; comments for in-function or file-local interfaces.
Use Google-style docstrings for classes and functions (Sphinx-parsable).
Document attributes and variables inline so they render under the class/function docstring.
Avoid reflection when a simpler, explicit approach suffices (e.g., avoid dict(**locals()) patterns).
In try/except, catch the most specific exceptions possible.
For duck-typing try/except, keep the try body minimal and use else for the main logic.
Files:
docs/source/conf.py
**/*.{cpp,cxx,cc,h,hpp,hh,hxx,cu,cuh,py}
📄 CodeRabbit inference engine (CODING_GUIDELINES.md)
Prepend the NVIDIA Apache-2.0 copyright header with current year to the top of all source files (e.g., .cpp, .h, .cu, .py).
Files:
docs/source/conf.py
🧠 Learnings (1)
📚 Learning: 2025-08-18T09:08:07.687Z
Learnt from: tongyuantongyu
PR: NVIDIA/TensorRT-LLM#6984
File: cpp/tensorrt_llm/CMakeLists.txt:297-299
Timestamp: 2025-08-18T09:08:07.687Z
Learning: In the TensorRT-LLM project, artifacts are manually copied rather than installed via `cmake --install`, so INSTALL_RPATH properties are not needed - only BUILD_RPATH affects the final artifacts.
Applied to files:
docs/source/installation/build-from-source-linux.md
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- GitHub Check: Pre-commit Check
🔇 Additional comments (7)
docs/source/features/sampling.md (5)
9-9: LGTM: link converted to commit-hash “source:” scheme.Matches the PR objective and is resilient to branch renames.
77-77: Verify target class location vs example import.Link points to sampling_params.py#L14, while the example imports GuidedDecodingParams from tensorrt_llm.llmapi. Confirm the symbol’s canonical location or align link/import for consistency.
97-97: LGTM: example link updated to source path.Consistent with the new scheme.
105-105: LGTM: LogitsProcessor link switched to source path.Good use of immutable commit-hash linking.
135-135: LGTM: logits processors example link updated.Change aligns with the repo-wide convention.
docs/source/conf.py (1)
135-137: LGTM: surface commit in footer.Good addition; ensure it uses the same commit_hash fallback logic above to avoid build breaks.
docs/source/installation/build-from-source-linux.md (1)
183-185: LGTM: anchor added for cross-referencing.Anchor name is descriptive and matches the earlier reference.
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/bot skip --comment "docs only change" |
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Signed-off-by: nv-guomingz <137257613+nv-guomingz@users.noreply.github.com>
Signed-off-by: nv-guomingz <137257613+nv-guomingz@users.noreply.github.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
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Signed-off-by: nv-guomingz <137257613+nv-guomingz@users.noreply.github.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
Signed-off-by: nv-guomingz <137257613+nv-guomingz@users.noreply.github.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
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Signed-off-by: nv-guomingz <137257613+nv-guomingz@users.noreply.github.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
Signed-off-by: nv-guomingz <137257613+nv-guomingz@users.noreply.github.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
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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.
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