[None][infra] bump version to 1.0.1 #6871
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📝 WalkthroughWalkthroughVersion bumped from 1.0.0 to 1.0.1 across code and documentation: updated version in tensorrt_llm/version.py, adjusted README badge text, and updated examples/constraints.txt version requirement. No behavioral or API changes. Changes
Estimated code review effort🎯 1 (Trivial) | ⏱️ ~3 minutes Possibly related PRs
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Status, Documentation and Community
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Signed-off-by: Yuanjing Xue <[email protected]>
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Actionable comments posted: 0
🧹 Nitpick comments (1)
tensorrt_llm/version.py (1)
15-15: Version bump to 1.0.1 looks good and maintains single source of truth.No functional impact; downstream references (e.g., README badge) correctly point here.
Optionally, update the header year range to include 2025 if that’s the current project policy for source headers.
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📒 Files selected for processing (3)
README.md(1 hunks)examples/constraints.txt(1 hunks)tensorrt_llm/version.py(1 hunks)
🧰 Additional context used
📓 Path-based instructions (2)
**/*.py
📄 CodeRabbit Inference Engine (CODING_GUIDELINES.md)
**/*.py: Python code must target Python 3.8+
Python indentation: 4 spaces, no tabs
Maintain module namespace in imports (from package.subpackage import foo; then use foo.SomeClass())
Python file names use snake_case
Python class names use PascalCase
Python functions/methods and local variables use snake_case; variables starting with a number get k_ prefix (e.g., k_99th_percentile)
Global variables use G_ prefixed UPPER_SNAKE_CASE (e.g., G_MY_GLOBAL)
Constants use UPPER_SNAKE_CASE in Python
Avoid shadowing variables from outer scopes in Python
Initialize all externally visible members of a Python class in init
Prefer docstrings for interfaces used outside a file; comments for local code
Use Google-style docstrings for classes and functions (Sphinx-parsable)
Document attributes/variables inline with short docstrings
Avoid reflection when simple alternatives exist (e.g., prefer explicit parameters over dict(**locals()))
In try/except, catch the narrowest exceptions possible
For duck-typing with try/except, keep try body minimal and put logic in else
Files:
tensorrt_llm/version.py
**/*.{cpp,cxx,cc,cu,h,hpp,hxx,hh,cuh,py}
📄 CodeRabbit Inference Engine (CODING_GUIDELINES.md)
Prepend NVIDIA copyright header (current year) to all source files
Files:
tensorrt_llm/version.py
🧠 Learnings (5)
📓 Common learnings
Learnt from: yibinl-nvidia
PR: NVIDIA/TensorRT-LLM#6506
File: examples/models/core/mixtral/requirements.txt:3-3
Timestamp: 2025-08-01T15:14:45.673Z
Learning: In TensorRT-LLM, examples directory can have different dependency versions than the root requirements.txt file. Version conflicts between root and examples dependencies are acceptable because examples are designed to be standalone and self-contained.
📚 Learning: 2025-08-06T13:58:07.506Z
Learnt from: galagam
PR: NVIDIA/TensorRT-LLM#6487
File: tests/unittest/_torch/auto_deploy/unit/singlegpu/test_ad_trtllm_bench.py:1-12
Timestamp: 2025-08-06T13:58:07.506Z
Learning: In TensorRT-LLM, test files (files under tests/ directories) do not require NVIDIA copyright headers, unlike production source code files. Test files typically start directly with imports, docstrings, or code.
Applied to files:
README.md
📚 Learning: 2025-08-01T15:14:45.673Z
Learnt from: yibinl-nvidia
PR: NVIDIA/TensorRT-LLM#6506
File: examples/models/core/mixtral/requirements.txt:3-3
Timestamp: 2025-08-01T15:14:45.673Z
Learning: In TensorRT-LLM, examples directory can have different dependency versions than the root requirements.txt file. Version conflicts between root and examples dependencies are acceptable because examples are designed to be standalone and self-contained.
Applied to files:
README.mdexamples/constraints.txt
📚 Learning: 2025-08-11T20:09:24.389Z
Learnt from: achartier
PR: NVIDIA/TensorRT-LLM#6763
File: tests/integration/defs/triton_server/conftest.py:16-22
Timestamp: 2025-08-11T20:09:24.389Z
Learning: In the TensorRT-LLM test infrastructure, the team prefers simple, direct solutions (like hard-coding directory traversal counts) over more complex but robust approaches when dealing with stable directory structures. They accept the maintenance cost of updating tests if the layout changes.
Applied to files:
README.md
📚 Learning: 2025-07-28T17:06:08.621Z
Learnt from: moraxu
PR: NVIDIA/TensorRT-LLM#6303
File: tests/integration/test_lists/qa/examples_test_list.txt:494-494
Timestamp: 2025-07-28T17:06:08.621Z
Learning: In TensorRT-LLM testing, it's common to have both CLI flow tests (test_cli_flow.py) and PyTorch API tests (test_llm_api_pytorch.py) for the same model. These serve different purposes: CLI flow tests validate the traditional command-line workflow, while PyTorch API tests validate the newer LLM API backend. Both are legitimate and should coexist.
Applied to files:
README.md
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- GitHub Check: Pre-commit Check
🔇 Additional comments (2)
examples/constraints.txt (1)
1-1: Verified — no remaining tensorrt_llm==1.0.0 pins in examplesSearch of the examples directory found no matches for 1.0.0; examples/constraints.txt contains the updated pin.
- examples/constraints.txt
tensorrt_llm==1.0.1README.md (1)
12-12: README badge updated to 1.0.1 — provided scan found no '1.0.0' matchesI ran the supplied rg scan; it returned no hits for the scanned patterns.
- Patterns searched: release-1.0.0, tensorrt[_-]llm version pinned to 1.0.0, version = "1.0.0"
- No files flagged by that scan.
If you want exhaustive assurance I can run a broader repo-wide search for any "1.0.0" occurrences — tell me to proceed.
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