o Xi @sddlmZddlmZmZddlZddlZ       d8d9ddZ          d:d;d+d,Z - . / 0   d) annotations)AnySequenceNF batch_sizeint seq_length vocab_sizetype_sequence_label_sizetype_vocab_size num_labels num_choicesuse_input_maskbooluse_token_type_ids use_labelsreturntuple[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)r r r r rrrrrr input_ids input_masktoken_type_idssequence_labels token_labels choice_labelsr$\/home/ubuntu/.local/lib/python3.10/site-packages/onnxscript/tools/transformers_models/phi.py_prepare_config_and_inputssF r&) )r)) ceagerT input_dimsSequence[tuple[int, int]] hidden_sizenum_hidden_layersintermediate_sizemax_position_embeddingsnum_attention_headsnum_key_value_heads_attn_implementationstr with_mask0tuple[Any, list[tuple[torch.Tensor, ...]], dict]c  s ddlm} ddlmddddi} | r| ddddi| |||||||d} |r/|| _| r[Gfd d d tjj} ddd}g}|D] \}}| ||||qF| | || fSGfdddtjj}ddd}g}|D] \}}| ||||qp|| || fS)aH Returns a model. See `PhiConfig `_. The parameters are chosen for a unit test configuration from `test_modeling_phi.py `_. r) PhiConfigPhiModelbatchlength)rrB)r3r4r r5r6r7r8c&eZdZfddZddZZS)z&get_phi_model..PhiModelWrapperct||_dSNsuper__init__modelselfconfigr? __class__r$r%rHn z/get_phi_model..PhiModelWrapper.__init__cSs|j||dd}|S)NF)attention_mask use_cacherIto_tuple)rKrrP model_outputr$r$r%forwardrsz.get_phi_model..PhiModelWrapper.forward__name__ __module__ __qualname__rHrU __classcell__r$r>rNr%PhiModelWrappermr\r seqr cSs$t|||dd\}}}}}}||fSNT)r r r rr&)r@r^r r_rr$r$r%generate_example_inputsxsz.get_phi_model..generate_example_inputscrC)z,get_phi_model..PhiModelWrapperNoMaskcrDrErFrJrMr$r%rHrOz5get_phi_model..PhiModelWrapperNoMask.__init__cSs|j|dd}|S)NF)rQrR)rKrrTr$r$r%rUsz4get_phi_model..PhiModelWrapperNoMask.forwardrVr$r>r[r%PhiModelWrapperNoMaskr]rccSs"t|||dd\}}}}}}|fSr_r`)r@r^r rrar$r$r%generate_example_inputs_no_masksz6get_phi_model..generate_example_inputs_no_maskN)r@r r^r r r ) transformersr=$transformers.models.phi.modeling_phir?updater9rnnModuleappend)r1r3r4r r5r6r7r8r9r;r=dynamic_shapesrLr\rbexample_args_collectionbsrcrdr$r>r% get_phi_modelEs:       ro smallrBwarmuprepeatrLimplementationrkc 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. rrr-r.rr/rr) r1r3r4r r5r6r7r8r9r;mediumi) r1r3r4r r5r7r8r6r9r;)largedefaultiii NzUnexpected configuration .r$)dictrrrget_input_dims_for_llm ValueErrorro)rsrtrLr4rurkr; conf_dictr$r$r%get_phi_model_from_configs^r~)rrrrFFF)r r r r r r r r rr rr rr rrrrrrrr) r'r-rr.rr/rrr0T)r1r2r3r r4r r r r5r r6r r7r r8r r9r:r;rrr<)rprqrrrBr0FT)rsr rtr rLr:r4r rur:rkrr;rrr<) __future__rtypingrrr$onnxscript.tools.transformers_modelsrr&ror~r$r$r$r%s>  7 l