i_\ddlmZddlmZddlZddlmZddlmZddlm Z ddl m Z m Z dd l mZdd lmZdd lmZmZdd lmZdd lmZmZmZddlmZmZddlmZmZddl m!Z!m"Z"ddl#m$Z$ddl%m&Z&m'Z'm(Z(ddl)m*Z*ddl+m,Z,GddejZZ.GddejZZ/dZ0dejbde2dejbfdZ3 d;dejZd ejbd!ejbd"ejbd#ejbdzd$e4d%e4d&e$e&fd'Z5dgd:Z?y)=)Callable)OptionalN)nn)check_model_inputs)ACT2FN)Cache DynamicCache)GenerationMixin)use_kernel_forward_from_hub)create_causal_mask!create_sliding_window_causal_mask)FlashAttentionKwargs) GenericForSequenceClassificationGenericForTokenClassificationGradientCheckpointingLayer)BaseModelOutputWithPastCausalLMOutputWithPast)ROPE_INIT_FUNCTIONSdynamic_rope_update)ALL_ATTENTION_FUNCTIONSPreTrainedModel)Unpack)TransformersKwargsauto_docstringcan_return_tuple)maybe_autocast) Phi3ConfigcVeZdZfdZdej dej fdZxZS)Phi3MLPc*t|||_tj|j d|j zd|_tj|j |j d|_t|j|_ y)NFbias) super__init__configrLinear hidden_sizeintermediate_size gate_up_proj down_projr hidden_act activation_fnselfr( __class__s p/home/obispo/Crisostomo_bridge/mision_env/lib/python3.12/site-packages/transformers/models/phi3/modeling_phi3.pyr'zPhi3MLP.__init__3sp  IIf&8&8!f>V>V:V]bc6#;#;V=O=OV[\#F$5$56 hidden_statesreturnc|j|}|jdd\}}||j|z}|j|S)Nr#dim)r,chunkr/r-)r1r5 up_statesgates r3forwardzPhi3MLP.forward;sL%%m4 #//!/4i 2 24 88 ~~i((r4)__name__ __module__ __qualname__r'torch FloatTensorr> __classcell__r2s@r3r!r!2s'7)U%6%6)5;L;L)r4r!c eZdZUejed<d deffd Ze d dedzde dde dzde d e ffd Z ejed ZxZS)Phi3RotaryEmbeddinginv_freqNr(ct||j|_|j|_||_|j j d|_|j}|jdk7rt|j}||j |\}|_ |jd|d|jd|jdy)N rope_typedefaultrHF) persistentoriginal_inv_freq) r&r'max_position_embeddingsmax_seq_len_cachedoriginal_max_seq_lenr(rope_parametersrJcompute_default_rope_parametersrattention_scalingregister_bufferclone)r1r(device rope_init_fnrHr2s r3r'zPhi3RotaryEmbedding.__init__Gs "("@"@$*$B$B! 44[A!%!E!E >>Y &.t~~>L+7 V+L($( ZeD 0(..2BuUr4rVz torch.deviceseq_lenr6z torch.Tensorcn|jd}|jjdd}t|ddxs|j|jz}t ||z}d}d|t jd|dt jj|t j |z zz }||fS) a Computes the inverse frequencies according to the original RoPE implementation Args: config ([`~transformers.PreTrainedConfig`]): The model configuration. device (`torch.device`): The device to use for initialization of the inverse frequencies. seq_len (`int`, *optional*): The current sequence length. Unused for this type of RoPE. Returns: Tuple of (`torch.Tensor`, `float`), containing the inverse frequencies for the RoPE embeddings and the post-processing scaling factor applied to the computed cos/sin (unused in this type of RoPE). rope_thetapartial_rotary_factorg?head_dimNrr#dtype)rVr^) rQgetgetattrr*num_attention_headsintrBarangeint64tofloat) r(rVrXbaser[r\r:attention_factorrHs r3rRz3Phi3RotaryEmbedding.compute_default_rope_parametersWs&%%l3 & 6 6 : :;RTW X6:t4h8J8JfNhNh8h(223 U\\!S!5;;?BB&X]XcXcBdgjj k )))r4cN|jddddfjj|jdddj |j }|dddddfj}t |j jtr/|j jdk7r|j jnd}t|d5|j|jzjdd}tj||fd }|j|jz}|j|jz} dddj |j  j |j fS#1swYAxYw) Nrr8rmpscpuF) device_typeenabledr#r9r])rHrfexpandshapererV isinstancetypestrr transposerBcatcosrSsinr^) r1x position_idsinv_freq_expandedposition_ids_expandedrlfreqsembrurvs r3r>zPhi3RotaryEmbedding.forwardwsR!MM$4-8>>@GG HZHZ[\H]_acdehhijiqiqr ,QaZ 8 > > @'1!((--'E!((--[`J`ahhmmfk  U C 5&,,.1F1L1L1NNYYZ[]^_E))UEN3C'')d444C'')d444C  5 vvAGGv$cff177f&;;;  5 5s BFF$N)NNN)r?r@rArBTensor__annotations__rr' staticmethodrrbtuplerfrRno_gradrr>rDrEs@r3rGrGDsllVzV $(+/"*T!*(*t* ~u$ % **>U]]_ <