[None][chore] Bump version to 1.2.0rc7

[yiqingy0]

Summary by CodeRabbit

• Chores
  • Version increment: Package version updated from 1.2.0rc6 to 1.2.0rc7
  • Documentation update: Release badge refreshed to reflect the new version
  • Dependency updates: Project dependencies bumped to 1.2.0rc7 to ensure version consistency throughout the system

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[yiqingy0]

/bot skip --comment "bump version"

[coderabbitai]

📝 Walkthrough

Walkthrough

This PR bumps the package version from 1.2.0rc6 to 1.2.0rc7 by updating the version constant, release badge, and dependency constraint across three files.

Changes

Cohort / File(s)	Summary
Version Release Bump tensorrt_llm/version.py, README.md, examples/constraints.txt	Updated version string from 1.2.0rc6 to 1.2.0rc7 in the package version constant, release badge reference, and dependency specification.

Estimated code review effort

🎯 1 (Trivial) | ⏱️ ~2 minutes

Possibly related PRs

• [None][chore] Bump version to 1.2.0rc2 #8562: Updates tensorrt_llm/version.py and README/constraints files for a release version bump.
• [None][chore] Bump version to 1.2.0rc4 #9363: Performs version bumping across the same three files (version.py, README badge, and constraints.txt).
• [None][chore] Bump version to 1.1.0rc3 #7394: Same pattern of updating release badge, constraints, and version constant for a different rc release.

Suggested reviewers

• chzblych
• laikhtewari
• QiJune

Pre-merge checks and finishing touches

❌ Failed checks (1 warning)

Check name	Status	Explanation	Resolution
Description check	⚠️ Warning	The PR description is empty beyond the template; critical sections like Description and Test Coverage are unfilled, and the checklist remains unchecked, leaving no context for reviewers.	Add a brief description explaining the version bump purpose and fill in the Test Coverage section noting that version bumps require no new tests. Check the PR Checklist items that apply.

✅ Passed checks (2 passed)

Check name	Status	Explanation
Title check	✅ Passed	The title clearly and specifically describes the main change: bumping the version to 1.2.0rc7, which is directly reflected in the changeset updates to version.py, README.md, and constraints.txt.
Docstring Coverage	✅ Passed	No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check.

✨ Finishing touches

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🧪 Generate unit tests (beta)

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• Post copyable unit tests in a comment
• Commit unit tests in branch preview/bump/main

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📥 Commits

Reviewing files that changed from the base of the PR and between 77b591f and bbc1c61.

📒 Files selected for processing (3)

• README.md
• examples/constraints.txt
• tensorrt_llm/version.py

🧰 Additional context used

📓 Path-based instructions (2)

**/*.py

📄 CodeRabbit inference engine (CODING_GUIDELINES.md)

**/*.py: 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 files should use snake_case naming: some_file.py
Python classes should use PascalCase naming: class SomeClass
Python functions and methods should use snake_case naming: def my_awesome_function():
Python local variables should use snake_case naming: my_variable = ...
Python variable names that start with a number should be prefixed with 'k': k_99th_percentile = ...
Python global variables should use upper snake_case with prefix 'G': G_MY_GLOBAL = ...
Python constants should use upper snake_case naming: 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 Python interfaces that may be used outside a file, prefer docstrings over comments
Python comments should be reserved for code within a function, or interfaces that are local to a file
Use Google style docstrings in Python for classes and functions, which can be parsed by Sphinx
Python attributes and variables can be documented inline with type and description
Avoid using reflection in Python when functionality can be easily achieved without reflection
When using try-except blocks in Python, limit the except to the smallest set of errors possible
When using try-except blocks in Python to handle multiple possible variable types (duck-typing), keep the body of the try as small as possible, using the else block for logic

Files:

• tensorrt_llm/version.py

**/*.{cpp,h,cu,cuh,py}

📄 CodeRabbit inference engine (CODING_GUIDELINES.md)

All TensorRT-LLM Open Source Software code should contain an NVIDIA copyright header that includes the year of its latest meaningful modification

Files:

• tensorrt_llm/version.py

🧠 Learnings (13)

📓 Common learnings

Learnt from: venkywonka
Repo: NVIDIA/TensorRT-LLM PR: 6029
File: .github/pull_request_template.md:45-53
Timestamp: 2025-08-27T17:50:13.264Z
Learning: For PR templates in TensorRT-LLM, avoid suggesting changes that would increase developer overhead, such as converting plain bullets to mandatory checkboxes. The team prefers guidance-style bullets that don't require explicit interaction to reduce friction in the PR creation process.

📚 Learning: 2025-08-01T15:14:45.673Z

Learnt from: yibinl-nvidia
Repo: NVIDIA/TensorRT-LLM PR: 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.txt
• README.md

📚 Learning: 2025-08-21T00:16:56.457Z

Learnt from: farshadghodsian
Repo: NVIDIA/TensorRT-LLM PR: 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:

• examples/constraints.txt
• tensorrt_llm/version.py
• README.md

📚 Learning: 2025-09-23T15:12:38.312Z

Learnt from: nv-lschneider
Repo: NVIDIA/TensorRT-LLM PR: 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:

• examples/constraints.txt
• README.md

📚 Learning: 2025-08-14T15:38:01.771Z

Learnt from: MatthiasKohl
Repo: NVIDIA/TensorRT-LLM PR: 6904
File: cpp/tensorrt_llm/pybind/thop/bindings.cpp:55-57
Timestamp: 2025-08-14T15:38:01.771Z
Learning: In TensorRT-LLM Python bindings, tensor parameter collections like mla_tensor_params and spec_decoding_tensor_params are kept as required parameters without defaults to maintain API consistency, even when it might affect backward compatibility.

Applied to files:

• examples/constraints.txt

📚 Learning: 2025-08-27T14:23:55.566Z

Learnt from: ixlmar
Repo: NVIDIA/TensorRT-LLM PR: 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:

• examples/constraints.txt
• README.md

📚 Learning: 2025-09-09T09:40:45.658Z

Learnt from: fredricz-20070104
Repo: NVIDIA/TensorRT-LLM PR: 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:

• examples/constraints.txt
• README.md

📚 Learning: 2025-07-28T17:06:08.621Z

Learnt from: moraxu
Repo: NVIDIA/TensorRT-LLM PR: 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.txt
• README.md

📚 Learning: 2025-11-27T09:23:18.742Z

Learnt from: fredricz-20070104
Repo: NVIDIA/TensorRT-LLM PR: 9511
File: tests/integration/defs/examples/serve/test_serve.py:136-186
Timestamp: 2025-11-27T09:23:18.742Z
Learning: In TensorRT-LLM testing, when adding test cases based on RCCA commands, the command format should be copied exactly as it appears in the RCCA case, even if it differs from existing tests. For example, some RCCA commands for trtllm-serve may omit the "serve" subcommand while others include it.

Applied to files:

• examples/constraints.txt

📚 Learning: 2025-08-06T13:58:07.506Z

Learnt from: galagam
Repo: NVIDIA/TensorRT-LLM PR: 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:

• examples/constraints.txt
• README.md

📚 Learning: 2025-10-17T13:21:31.724Z

Learnt from: ixlmar
Repo: NVIDIA/TensorRT-LLM PR: 8398
File: tensorrt_llm/_torch/pyexecutor/sampling_utils.py:237-272
Timestamp: 2025-10-17T13:21:31.724Z
Learning: The setup.py file in TensorRT-LLM explicitly requires Python 3.10+ via `python_requires=">=3.10, <4"`, making match/case statements and other Python 3.10+ features appropriate throughout the codebase.

Applied to files:

• examples/constraints.txt
• README.md

📚 Learning: 2025-08-11T20:09:24.389Z

Learnt from: achartier
Repo: NVIDIA/TensorRT-LLM PR: 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: 2025-09-16T09:30:09.716Z

Learnt from: tongyuantongyu
Repo: NVIDIA/TensorRT-LLM PR: 7763
File: cpp/tensorrt_llm/CMakeLists.txt:297-301
Timestamp: 2025-09-16T09:30:09.716Z
Learning: In the TensorRT-LLM project, NCCL libraries are loaded earlier by PyTorch libraries or the bindings library, so the main shared library doesn't need NCCL paths in its RPATH - the libraries will already be available in the process address space when needed.

Applied to files:

• README.md

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• GitHub Check: Pre-commit Check
• GitHub Check: Analyze (python)

🔇 Additional comments (3)

examples/constraints.txt (1)

1-1: LGTM! Version constraint updated correctly.

The tensorrt_llm dependency has been properly bumped to 1.2.0rc7, consistent with the version bump across the codebase.

tensorrt_llm/version.py (1)

15-15: LGTM! Version bumped correctly.

The version string has been properly updated to "1.2.0rc7", following semantic versioning conventions.

README.md (1)

13-13: LGTM! Release badge updated consistently.

The release badge has been updated to reflect version 1.2.0rc7, maintaining consistency with the version bump in tensorrt_llm/version.py and examples/constraints.txt.

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[tensorrt-cicd]

PR_Github #29531 [ skip ] triggered by Bot. Commit: bbc1c61

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PR_Github #29531 [ skip ] completed with state SUCCESS. Commit: bbc1c61
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