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[https://nvbugs/5823783][fix] Fix multi-node trust_remote_code hang i… #11383
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[https://nvbugs/5823783][fix] Fix multi-node trust_remote_code hang i… #11383
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📝 WalkthroughWalkthroughIntroduced cloudpickle-based serialization support for HuggingFace tokenizers to enable cross-node distributed processing. Added helper functions for reconstructing serialized tokenizers and registering dynamic transformer modules when Changes
Sequence Diagram(s)sequenceDiagram
participant Client
participant load_hf_tokenizer
participant TransformersTokenizer
participant Cloudpickle
participant HFModules as HF Dynamic Modules
Client->>load_hf_tokenizer: load_hf_tokenizer(trust_remote_code=True)
load_hf_tokenizer->>load_hf_tokenizer: maybe_register_transformers_modules_by_value()
load_hf_tokenizer->>HFModules: Register dynamic modules
load_hf_tokenizer->>TransformersTokenizer: from_pretrained()
TransformersTokenizer-->>load_hf_tokenizer: Return tokenizer instance
Client->>Cloudpickle: pickle(tokenizer)
Cloudpickle->>TransformersTokenizer: __reduce__()
TransformersTokenizer-->>Cloudpickle: Return (reconstruct_fn, args)
Cloudpickle-->>Client: Serialized bytes
Client->>Cloudpickle: unpickle(bytes)
Cloudpickle->>Cloudpickle: _reconstruct_transformers_tokenizer(bytes)
Cloudpickle-->>Client: Deserialized tokenizer
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~20 minutes 🚥 Pre-merge checks | ✅ 1 | ❌ 2❌ Failed checks (2 warnings)
✅ Passed checks (1 passed)
✏️ Tip: You can configure your own custom pre-merge checks in the settings. ✨ Finishing touches
🧪 Generate unit tests (beta)
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| # | ||
| # See: https://github.com/vllm-project/vllm/pull/6751 | ||
| try: | ||
| import cloudpickle |
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why we use local import? And is this a requirements of TRTLLM install? if its already a requirement no need local try/catch I think. If its optional requirement, lets print a better logging for user to install it when import error?
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Upaded the error message.
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…ssue In multi-node scenarios, AutoTokenizer.from_pretrained with trust_remote_code=True may create dynamic Python modules cached at $HOME/.cache/huggingface/modules/ transformers_modules/. These modules are node-local and won't exist on other nodes. Standard pickle serializes classes by reference, so deserializing a tokenizer that uses such a dynamic class fails on other nodes. To solve this, we use cloudpickle (if available) to serialize the inner tokenizer by value, embedding the class definition in the serialized bytes. This follows vLLM PR NVIDIA#6751. Also adds nosec comments to suppress Bandit security warnings for pickle import (B403) and pickle.loads (B301). These are safe because the serialized data comes from our own cloudpickle.dumps() call, not from untrusted external sources. See: vllm-project/vllm#6751 Signed-off-by: Junyi Xu <[email protected]>
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…ssue
Summary by CodeRabbit
Release Notes
Description
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PR Checklist
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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CODEOWNERS updated if ownership changes
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Update tava architecture diagram if there is a significant design change in PR.
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Please check this after reviewing the above items as appropriate for this PR.
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