biddlmZddlZddlmZmZddlmZeje Z erddl m Z m Z mZ ddlmZn #e$rYnwxYw dddZdS)) annotationsN) TYPE_CHECKINGLiteral)save_or_push_to_hub_model CrossEncoderSentenceTransformer SparseEncoder)OptimizationConfigFmodel2SentenceTransformer | SparseEncoder | CrossEncoderoptimization_config4OptimizationConfig | Literal['O1', 'O2', 'O3', 'O4']model_name_or_pathstr push_to_hubbool create_pr file_suffix str | NonereturnNonec ^ddlm}m}m} ddlm} m} ddlm} n#t$rtdwxYwt||o?t|o0t|ddot|dj | } t||o?t|o0t|ddot|dj | } t||ot|j| }| s|s| std| s| r|dj }n|j}| |tt"r4| jvrtdpt'| d t)fd d |||d | d S)a Export an optimized ONNX model from a SentenceTransformer, SparseEncoder, or CrossEncoder model. The O1-O4 optimization levels are defined by Optimum and are documented here: https://huggingface.co/docs/optimum/main/en/onnxruntime/usage_guides/optimization The optimization levels are: - O1: basic general optimizations. - O2: basic and extended general optimizations, transformers-specific fusions. - O3: same as O2 with GELU approximation. - O4: same as O3 with mixed precision (fp16, GPU-only) See the following pages for more information & benchmarks: - `Sentence Transformer > Usage > Speeding up Inference `_ - `Cross Encoder > Usage > Speeding up Inference `_ Args: model (SentenceTransformer | SparseEncoder | CrossEncoder): The SentenceTransformer, SparseEncoder, or CrossEncoder model to be optimized. Must be loaded with `backend="onnx"`. optimization_config (OptimizationConfig | Literal["O1", "O2", "O3", "O4"]): The optimization configuration or level. model_name_or_path (str): The path or Hugging Face Hub repository name where the optimized model will be saved. push_to_hub (bool, optional): Whether to push the optimized model to the Hugging Face Hub. Defaults to False. create_pr (bool, optional): Whether to create a pull request when pushing to the Hugging Face Hub. Defaults to False. file_suffix (str | None, optional): The suffix to add to the optimized model file name. Defaults to None. Raises: ImportError: If the required packages `optimum` and `onnxruntime` are not installed. ValueError: If the provided model is not a valid SentenceTransformer, SparseEncoder, or CrossEncoder model loaded with `backend="onnx"`. ValueError: If the provided optimization_config is not valid. Returns: None rr)ORTModel ORTOptimizer)AutoOptimizationConfigzPlease install Optimum and ONNX Runtime to use this function. You can install them with pip: `pip install sentence-transformers[onnx]` or `pip install sentence-transformers[onnx-gpu]` auto_modelz}The model must be a Transformer-based SentenceTransformer, SparseEncoder, or CrossEncoder model loaded with `backend="onnx"`.z\optimization_config must be an OptimizationConfig instance or one of 'O1', 'O2', 'O3', 'O4'.N optimizedc4|S)N)r)optimize)save_dirrr optimizers a/root/projects/butler/venv/lib/python3.11/site-packages/sentence_transformers/backend/optimize.pyz-export_optimized_onnx_model..os););>>>>>>>LLLLLLL     ?     5-.. 6 JJ 6 E!Hl + + 6 uQx*H 5 5  5-(( 6 JJ 6 E!Hl + + 6 uQx*H 5 5  ! 55[*U[RZ:[:[O   /  L   */*#Ah1 #k ,,Y77I%s++U &<&D D Dn "8%8 Rg&<>QRRTT! ssssss:"-      s8)FFN)r r rrrrrrrrrrrr) __future__rloggingtypingrr#sentence_transformers.backend.utilsr getLogger__name__loggerr,rr r r.r r/r&r%r#rCs""""""))))))))IIIIII  8 $ $ VVVVVVVVVV HHHHHHH      " eeeeeees=AA