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[https://nvbugs/5445466][fix] Eliminate race when loading HF dynamic modules (#7268) #7379
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📝 WalkthroughWalkthroughAdds a file lock mechanism around Transformers config loading in tensorrt_llm/_torch/model_config.py to reduce race conditions when multiple processes load the same remote model. Introduces a context manager, updates from_pretrained to run under the lock, and derives model_dir from the cached config path within the locked block. Changes
Sequence Diagram(s)sequenceDiagram
participant P as Process
participant L as config_file_lock (FileLock)
participant T as Transformers.AutoConfig
participant H as transformers.utils.hub
participant Q as Quantization Config Loader
P->>L: Acquire shared lock (_remote_code.lock)
alt Lock acquired
rect rgba(200, 230, 255, 0.3)
note right of L: New: Locked region
L->>T: from_pretrained(checkpoint_dir)
T-->>P: pretrained_config
P->>H: cached_file(checkpoint_dir, "config.json")
H-->>P: path/to/.../config.json
P->>P: model_dir = parent(path)
end
else Lock timeout
note right of P: Proceed without lock (warn)
P->>T: from_pretrained(checkpoint_dir)
T-->>P: pretrained_config
P->>H: cached_file(checkpoint_dir, "config.json")
H-->>P: path/to/.../config.json
P->>P: model_dir = parent(path)
end
P->>Q: Load quantization config using model_dir
Q-->>P: quant_config (optional)
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~20 minutes Possibly related PRs
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Actionable comments posted: 3
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tensorrt_llm/_torch/model_config.py
(3 hunks)
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**/*.{cpp,cc,cxx,cu,h,hpp,hh,hxx,cuh,py}
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**/*.{cpp,cc,cxx,cu,h,hpp,hh,hxx,cuh,py}
: Use spaces only; no tabs; indent with 4 spaces
Prepend NVIDIA copyright header (current year) to all source files (.cpp, .h, .cu, .py, etc.)
Files:
tensorrt_llm/_torch/model_config.py
**/*.py
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**/*.py
: Python code must target Python 3.8+
Indent Python with 4 spaces; no tabs
Preserve module namespaces when importing: from package.subpackage import foo; then call foo.SomeClass() instead of importing the class directly
Python naming: files snake_case; classes PascalCase; functions/methods snake_case; locals snake_case (prefix k_ when starting with a number); globals UPPER_SNAKE_CASE with G_ prefix; constants UPPER_SNAKE_CASE
Avoid shadowing outer-scope variables; initialize all externally visible members in init
Prefer docstrings for interfaces used outside a file; limit comments to function-internal or file-local interfaces
Use Google-style docstrings for classes and functions; document attributes/variables inline so Sphinx can render them
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In try/except, catch the narrowest exceptions possible; keep try bodies minimal and use else for the main logic when doing duck-typing checks
Files:
tensorrt_llm/_torch/model_config.py
🧬 Code graph analysis (1)
tensorrt_llm/_torch/model_config.py (2)
tensorrt_llm/logger.py (1)
warning
(131-132)tensorrt_llm/models/automodel.py (1)
AutoConfig
(10-49)
⏰ 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)
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🔇 Additional comments (1)
tensorrt_llm/_torch/model_config.py (1)
7-11
: Make HF_MODULES_CACHE import version-safeIn tensorrt_llm/_torch/model_config.py, replace the single import with a guarded import to support both older and newer transformers releases:
-from transformers.utils import HF_MODULES_CACHE +try: + from transformers.utils.import_utils import HF_MODULES_CACHE +except ImportError: + from transformers.utils import HF_MODULES_CACHEManually verify this against the range of supported transformers versions to confirm there’s no ImportError at runtime.
…modules (NVIDIA#7268) Signed-off-by: Chang Liu (Enterprise Products) <[email protected]>
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Cherry-picked from 31b0f0f
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