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[None][chore] Bump version to 1.2.0rc0.post1 #8305
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Signed-off-by: Yiqing Yan <[email protected]>
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/bot skip --comment "bump version" |
📝 WalkthroughWalkthroughVersion string updated from 1.2.0rc1 to 1.2.0rc0.post1 across README badge, constraints, and the package version constant. No logic, control flow, or public API changes. Changes
Estimated code review effort🎯 1 (Trivial) | ⏱️ ~2 minutes Possibly related PRs
Suggested reviewers
Pre-merge checks and finishing touches❌ Failed checks (1 warning)
✅ Passed checks (2 passed)
✨ Finishing touches
🧪 Generate unit tests (beta)
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Actionable comments posted: 1
📜 Review details
Configuration used: Path: .coderabbit.yaml
Review profile: CHILL
Plan: Pro
📒 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 (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:
tensorrt_llm/version.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:
tensorrt_llm/version.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:
tensorrt_llm/version.py
🧠 Learnings (8)
📚 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:
examples/constraints.txtREADME.md
📚 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:
README.md
📚 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: 2025-08-27T14:23:55.566Z
Learnt from: ixlmar
PR: NVIDIA/TensorRT-LLM#7294
File: tensorrt_llm/_torch/modules/rms_norm.py:17-17
Timestamp: 2025-08-27T14:23:55.566Z
Learning: The TensorRT-LLM project requires Python 3.10+ as evidenced by the use of TypeAlias from typing module, match/case statements, and union type | syntax throughout the codebase, despite some documentation still mentioning Python 3.8+.
Applied to files:
README.md
📚 Learning: 2025-09-23T15:12:38.312Z
Learnt from: nv-lschneider
PR: NVIDIA/TensorRT-LLM#7910
File: cpp/tensorrt_llm/thop/allreduceOp.cpp:352-446
Timestamp: 2025-09-23T15:12:38.312Z
Learning: In TensorRT-LLM NCCL device implementation, NCCL version 2.28+ requirements are handled at runtime in the nccl_device/config layer rather than with compile-time guards. This allows the allreduceOp to remain version-agnostic and delegates version compatibility validation to the appropriate lower-level components that can gracefully handle unsupported configurations.
Applied to files:
README.md
📚 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: 2025-09-09T09:40:45.658Z
Learnt from: fredricz-20070104
PR: NVIDIA/TensorRT-LLM#7645
File: tests/integration/test_lists/qa/llm_function_core.txt:648-648
Timestamp: 2025-09-09T09:40:45.658Z
Learning: In TensorRT-LLM test lists, it's common and intentional for the same test to appear in multiple test list files when they serve different purposes (e.g., llm_function_core.txt for comprehensive core functionality testing and llm_function_core_sanity.txt for quick sanity checks). This duplication allows tests to be run in different testing contexts.
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
⏰ 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 (2)
examples/constraints.txt (1)
1-1: Pin updated; verify publish availability to avoid install breaksVersion 1.2.0rc0.post1 isn’t on PyPI under
tensorrt-llmortensorrt_llm; confirm it’s published on the intended index (PyPI or NGC) before releasing to prevent install failures.README.md (1)
12-12: Consistency check passed; no lingering1.2.0rc1references
| # See the License for the specific language governing permissions and | ||
| # limitations under the License. | ||
| __version__ = "1.2.0rc1" | ||
| __version__ = "1.2.0rc0.post1" |
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🧩 Analysis chain
Potential version regression: 1.2.0rc0.post1 < 1.2.0rc1 under PEP 440
If the previous release was 1.2.0rc1, bumping to rc0.post1 is a lower version. Pip will treat this as a downgrade and not upgrade users on rc1. If the intent is a post-release of rc1, consider 1.2.0rc1.post1 instead.
Quick checks:
If you need to switch to a post of rc1:
-__version__ = "1.2.0rc0.post1"
+__version__ = "1.2.0rc1.post1"🏁 Script executed:
#!/bin/bash
python - <<'PY'
from packaging.version import Version
print("rc0.post1 < rc1 ?", Version("1.2.0rc0.post1") < Version("1.2.0rc1"))
PY
# Search repo for old version strings to ensure consistency
rg -n -S '1\.2\.0rc1|1\.2\.0rc0\.post1' -g '!**/node_modules/**' -g '!**/build/**' -g '!**/dist/**'Length of output: 248
Bump version to 1.2.0rc1.post1 and update references
PEP 440 treats 1.2.0rc0.post1 as lower than 1.2.0rc1, preventing upgrades. Change __version__ to "1.2.0rc1.post1" and update the badge in README.md and the constraint in examples/constraints.txt.
🤖 Prompt for AI Agents
In tensorrt_llm/version.py around line 15, the package version is set to
"1.2.0rc0.post1" which is treated as lower than "1.2.0rc1" by PEP 440; update
__version__ to "1.2.0rc1.post1". Also update the corresponding version badge in
README.md to reflect 1.2.0rc1.post1 and change the version constraint in
examples/constraints.txt to match the new 1.2.0rc1.post1 value so upgrades work
correctly.
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PR_Github #21159 [ skip ] triggered by Bot |
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PR_Github #21159 [ skip ] completed with state |
Summary by CodeRabbit
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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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Any new dependencies have been scanned for license and vulnerabilities
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