[None][chore] Bump version to 1.1.0rc0 #6651
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Signed-off-by: Yiqing Yan <yiqingy@nvidia.com>
📝 WalkthroughWalkthroughThe changes update the version identifier from "1.0.0rc6" to "1.1.0rc0" in three locations: the README badge, the dependency constraint file, and the internal version string. No other content or logic was modified. Changes
Sequence Diagram(s)No sequence diagram generated as the changes are limited to version string updates and do not affect control flow or feature logic. Estimated code review effort🎯 1 (Trivial) | ⏱️ ~2 minutes Possibly related PRs
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🧹 Nitpick comments (2)
tensorrt_llm/version.py (1)
15-15: Header year no longer up-to-dateWith the version bump, the project has entered 2025, yet the copyright header still ends at 2024.
Update the range to include the current year to comply with the repository’s OSS policy.-# SPDX-FileCopyrightText: Copyright (c) 2022-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-FileCopyrightText: Copyright (c) 2022-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.examples/constraints.txt (1)
1-1: Exact pin could block patch hot-fixesPinning to
==1.1.0rc0guarantees reproducibility, but also prevents installing future
critical patch releases (e.g.,1.1.0rc1) under the same RC cycle.
Consider the compatible release operator instead:-tensorrt_llm==1.1.0rc0 +tensorrt_llm~=1.1.0rc0
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📒 Files selected for processing (3)
README.md(1 hunks)examples/constraints.txt(1 hunks)tensorrt_llm/version.py(1 hunks)
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📓 Path-based instructions (2)
**/*.py
📄 CodeRabbit Inference Engine (CODING_GUIDELINES.md)
**/*.py: The code developed for TensorRT-LLM should conform to Python 3.8+.
Indent Python code with 4 spaces. Do not use tabs.
Always maintain the namespace when importing in Python, even if only one class or function from a module is used.
Python filenames should use snake_case (e.g., some_file.py).
Python classes should use PascalCase (e.g., class SomeClass).
Python functions and methods should use snake_case (e.g., def my_awesome_function():).
Python local variables should use snake_case. Prefix k for variable names that start with a number (e.g., k_99th_percentile = ...).
Python global variables should use upper snake_case and prefix G (e.g., G_MY_GLOBAL = ...).
Python constants should use upper snake_case (e.g., MY_CONSTANT = ...).
Avoid shadowing variables declared in an outer scope in Python.
Initialize all externally visible members of a Python class in the constructor.
For interfaces that may be used outside a file, prefer docstrings over comments in Python.
Comments in Python should be reserved for code within a function, or interfaces that are local to a file.
Use Google style docstrings for Python classes and functions, which can be parsed by Sphinx.
Attributes and variables in Python can be documented inline; attribute docstrings will be rendered under the docstring for the class.
Avoid using reflection in Python when functionality can be easily achieved without it.
When using try-except blocks in Python, limit the except to the smallest set of errors possible.
When using try-except blocks to handle multiple possible variable types in Python, keep the body of the try as small as possible, using the else block to implement the logic.
Files:
tensorrt_llm/version.py
**/*.{cpp,h,cu,py}
📄 CodeRabbit Inference Engine (CODING_GUIDELINES.md)
All TensorRT-LLM Open Source Software code should contain an NVIDIA copyright header that includes the current year. This includes .cpp, .h, .cu, .py, and any other source files which are compiled or interpreted.
Files:
tensorrt_llm/version.py
🧠 Learnings (6)
📚 Learning: in tensorrt-llm, examples directory can have different dependency versions than the root requirement...
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.mdtensorrt_llm/version.py
📚 Learning: applies to **/*.py : the code developed for tensorrt-llm should conform to python 3.8+....
Learnt from: CR
PR: NVIDIA/TensorRT-LLM#0
File: CODING_GUIDELINES.md:0-0
Timestamp: 2025-08-06T00:54:56.038Z
Learning: Applies to **/*.py : The code developed for TensorRT-LLM should conform to Python 3.8+.
Applied to files:
examples/constraints.txtREADME.mdtensorrt_llm/version.py
📚 Learning: in tensorrt-llm testing, it's common to have both cli flow tests (test_cli_flow.py) and pytorch api ...
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:
examples/constraints.txtREADME.md
📚 Learning: applies to **/*.{cpp,h,cu,py} : all tensorrt-llm open source software code should contain an nvidia ...
Learnt from: CR
PR: NVIDIA/TensorRT-LLM#0
File: CODING_GUIDELINES.md:0-0
Timestamp: 2025-08-06T00:54:56.038Z
Learning: Applies to **/*.{cpp,h,cu,py} : All TensorRT-LLM Open Source Software code should contain an NVIDIA copyright header that includes the current year. This includes .cpp, .h, .cu, .py, and any other source files which are compiled or interpreted.
Applied to files:
README.md
📚 Learning: in the tensorrt-llm waive list merging system, removed lines are always located at the end of the me...
Learnt from: yiqingy0
PR: NVIDIA/TensorRT-LLM#5198
File: jenkins/mergeWaiveList.py:0-0
Timestamp: 2025-07-22T08:33:49.109Z
Learning: In the TensorRT-LLM waive list merging system, removed lines are always located at the end of the merge waive lists, which is why the mergeWaiveList.py script uses reverse traversal - it's an optimization for this specific domain constraint.
Applied to files:
README.md
📚 Learning: in tensorrt-llm's multimodal processing pipeline, shared tensor recovery using `from_shared_tensor()...
Learnt from: yechank-nvidia
PR: NVIDIA/TensorRT-LLM#6254
File: tensorrt_llm/_torch/pyexecutor/model_engine.py:1201-1204
Timestamp: 2025-07-22T09:22:14.726Z
Learning: In TensorRT-LLM's multimodal processing pipeline, shared tensor recovery using `from_shared_tensor()` is only needed during the context phase. Generation requests reuse the already-recovered tensor data and only need to call `strip_for_generation()` to remove unnecessary multimodal data while preserving the recovered tensors. This avoids redundant tensor recovery operations during generation.
Applied to files:
README.md
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🔇 Additional comments (2)
tensorrt_llm/version.py (1)
15-15: No hard-coded1.0.0rc6references remain – ready to mergeAll checks (including
rg -n '1\.0\.0rc6') returned no matches. No further action needed.README.md (1)
12-12: Badge updated – LGTMThe release badge now advertises
1.1.0rc0and points totensorrt_llm/version.py.
No further action required.
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