[None][feat] precompiled installation from local src dir#10419
[None][feat] precompiled installation from local src dir#10419lucaslie merged 1 commit intoNVIDIA:mainfrom
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Signed-off-by: Lucas Liebenwein <11156568+lucaslie@users.noreply.github.com>
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🧹 Nitpick comments (1)
setup.py (1)
182-220: LGTM! Well-structured local directory handling.The implementation correctly:
- Validates the source directory structure
- Matches files using the same patterns as the wheel extraction path
- Applies consistent filtering rules (skips YAML, filters Python files to generated wrappers only)
- Preserves directory structure and file metadata using
shutil.copy2- Returns early to avoid interfering with the wheel/URL handling path
The logic is sound and integrates well with the existing functionality.
Optional: Consider adding error handling for copy operations
While the current implementation will propagate exceptions from
shutil.copy2, you could optionally add more specific error messages for common failure cases (e.g., permission errors, disk space issues) to improve the developer experience when troubleshooting build issues.Example enhanced error handling
try: shutil.copy2(src_file, dst_file) except OSError as e: raise SetupError( f"Failed to copy {rel_path}: {e}" ) from e
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setup.py
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📓 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:
setup.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:
setup.py
🧠 Learnings (2)
📓 Common learnings
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.
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.
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.
📚 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:
setup.py
🪛 Ruff (0.14.10)
setup.py
189-191: Avoid specifying long messages outside the exception class
(TRY003)
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🔇 Additional comments (3)
setup.py (3)
165-172: LGTM! Clear documentation of the extended functionality.The docstring update effectively communicates the three supported source types with concrete examples. This helps users understand how to use the function with local directories, local wheel files, or remote URLs.
173-175: LGTM! Appropriate standard library imports.The
globandshutilimports are standard library modules used correctly for pattern matching and file operations in the new local directory handling path.
222-222: LGTM! Helpful clarifying comment.The comment clearly delineates the local directory path from the file/URL handling path, improving code readability.
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PR_Github #30607 [ run ] triggered by Bot. Commit: |
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PR_Github #30607 [ run ] completed with state |
Signed-off-by: Lucas Liebenwein <11156568+lucaslie@users.noreply.github.com> Signed-off-by: Daniil Kulko <kulkodaniil@gmail.com>
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