o Xi @sddlmZddlmZmZddlZddlZd:ddZ  d;dd-d.Z / 0 1 2  d?d@d8d9Z dS)A) annotations)AnySequenceNreturnboolcCs0z ddlm}|s JWdStyYdSw)z8Tells if package *transformers* contains the phi3 model.r Phi3ConfigFT) transformersr ImportErrorrr ]/home/ubuntu/.local/lib/python3.10/site-packages/onnxscript/tools/transformers_models/phi3.pyhas_phi3s   r F batch_sizeint seq_length vocab_sizetype_sequence_label_sizetype_vocab_size num_labels num_choicesuse_input_maskuse_token_type_ids use_labelstuple[Any, ...]c Cstjj||g|} d} |rtt||} d} |r-|dks#Jdtjj||g|} d} d}d}| ri|dks=Jd|dksEJd|dksMJdtjj|g|} tjj||g|}tjj|g|}| | | | ||fS)Nrztype_vocab_size is nullz type_sequence_label_size is nullznum_labels is nullznum_choices is null) onnxscripttoolstransformers_models ids_tensortorchtrilones)rrrrrrrrrr input_ids input_masktoken_type_idssequence_labels token_labels choice_labelsr r r _prepare_config_and_inputssF r+) )r.) ceagerT input_dimsSequence[tuple[int, int]] hidden_sizenum_hidden_layersintermediate_sizemax_position_embeddingsnum_attention_headsnum_key_value_heads_attn_implementationstr with_mask0tuple[Any, list[tuple[torch.Tensor, ...]], dict]c  sddlm} mddddi} | r| ddddi| |||||||td|dd} |r1|| _| r]Gfd d d tjj} ddd}g}|D] \}}| ||||qH| | || fSGfdddtjj}ddd}g}|D] \}}| ||||qr|| || fS)aH Returns a model. See `PhiConfig `_. The parameters are chosen for a unit test configuration from `test_modeling_phi.py `_. r)r Phi3Modelbatchlength)rrEi})r8r9rr:r;r<r= pad_token_idc&eZdZfddZddZZS)z.get_phi3_model..Phi3ModelWrapperNoMaskct||_dSNsuper__init__modelselfconfigrB __class__r r rLx z7get_phi3_model..Phi3ModelWrapperNoMask.__init__cSs|j||dd}|S)NF)attention_mask use_cacherMto_tuple)rOr%rT model_outputr r r forward|sz6get_phi3_model..Phi3ModelWrapperNoMask.forward__name__ __module__ __qualname__rLrY __classcell__r rBrRr Phi3ModelWrapperNoMaskwrarseqrcSs$t|||dd\}}}}}}||fSNT)rrrrr+)rCrcrr%_r&r r r generate_example_inputs_no_masksz7get_phi3_model..generate_example_inputs_no_maskcrG)z(get_phi3_model..Phi3ModelWrappercrHrIrJrNrQr r rLrSz1get_phi3_model..Phi3ModelWrapper.__init__cSs|j|dd}|S)NF)rUrV)rOr%rXr r r rYsz0get_phi3_model..Phi3ModelWrapper.forwardrZr r_r`r Phi3ModelWrapperrbrhcSst|||dd^}}|fSrdre)rCrcrr%rfr r r generate_example_inputss  z/get_phi3_model..generate_example_inputsN)rCrrcrrr) r rrBupdateminr>r"nnModuleappend)r6r8r9rr:r;r<r=r>r@rdynamic_shapesrPrargexample_args_collectionbsrhrir r_r get_phi3_modelOs:      rs smallrEwarmuprepeatrPimplementationroc Cs|dkrttjj|||d|ddddd||d }n<|d kr4ttjj|||d |d d ddd ||d }n"|d vrNttjj|||d |ddddd ||d }ntd|dtdi|S)a Returns a model Phi to test or benchmark. Args: warmup: Number of inputs to generate. repeat: Number of inputs to generate for repeat. config: small, medium or large num_hidden_layers: number of hidden layers implementation: eager or sdpa with_mask: One or two inputs. dynamic_shapes: dynamic shapes or not Returns: Model and list of inputs. rvr2r3rr4rr) r6r8r9rr:r;r<r=r>r@mediumi) r6r8r9rr:r<r=r;r>r@)largedefaultiii NzUnexpected configuration .r )dictrrr get_input_dims_for_llm ValueErrorrs)rwrxrPr9ryror@ conf_dictr r r get_phi3_model_from_configs^r)rr)rrrrFFF)rrrrrrrrrrrrrrrrrrrrrr) r,r2rr3rr4rrr5T)r6r7r8rr9rrrr:rr;rr<rr=rr>r?r@rrrA)rtrurvrEr5FT)rwrrxrrPr?r9rryr?rorr@rrrA) __future__rtypingrrr"$onnxscript.tools.transformers_modelsrr r+rsrr r r r s@   7 m