ZjA`XSrSSKJr SSKJr SSKrSSKJr SSKJr SSK J r J r SS K J r SS KJr SS KJrJrJr SS KJrJr SS KJrJr SSKJrJr SSKJr SSKJ r J!r!J"r"J#r# SSK$J%r%J&r& SSK'J(r( SSK)J*r* \#RV"\,5r-"SS\R\5r/Sr0S9Sjr1"SS\R\5r2"SS\R\5r3S\RhS\5S\Rh4S jr6S:S!\R\S"\RhS#\RhS$\RhS%\RhS-S&\7S'\7S(\\ 4S)jjr8"S*S+\R\5r9"S,S-\5r:\!"S.S/\55r;\!"S0S1\;55r<"S2S3\;\ 5r="S4S5\\;5r>"S6S7\\;5r?/S8Qr@g);zPyTorch StableLM model.)Callable)OptionalN)nn)ACT2FN)Cache DynamicCache)GenerationMixin)create_causal_mask) GenericForSequenceClassificationGenericForTokenClassificationGradientCheckpointingLayer)BaseModelOutputWithPastCausalLMOutputWithPast)ROPE_INIT_FUNCTIONSdynamic_rope_update)ALL_ATTENTION_FUNCTIONSPreTrainedModel)Unpack)TransformersKwargsauto_docstringcan_return_tuplelogging)maybe_autocastmerge_with_config_defaults)capture_outputs)StableLmConfigc ^\rSrSr%\R \S'SS\4U4Sjjjr\ SS\S-S\ SS\ S-S \ S \ 44S jj5r\R"5\S 55rS rU=r$)StableLmRotaryEmbedding8inv_freqNconfigc>[TU]5 URUlURUlXlUR R SUlURnURS:wa[URnU"UR U5uo@l URSUSS9 URSUR5SS9 g)N rope_typedefaultr"F) persistentoriginal_inv_freq) super__init__max_position_embeddingsmax_seq_len_cachedoriginal_max_seq_lenr#rope_parametersr%compute_default_rope_parametersrattention_scalingregister_bufferclone)selfr#device rope_init_fnr" __class__s /root/GenerationalWealth/GenerationalWealth/venv/lib/python3.13/site-packages/transformers/models/stablelm/modeling_stablelm.pyr* StableLmRotaryEmbedding.__init__;s "("@"@$*$B$B! 44[A!%!E!E >>Y &.t~~>L+7 V+L(( ZeD 0(..2BuUr4z torch.deviceseq_lenreturnz torch.Tensorc jURSnURRSS5n[USS5=(d URUR-n[ XT-5nSnSU[ R"SUS[ RS9RU[ RS 9U- -- nX4$) aH Computes the inverse frequencies according to the original RoPE implementation Args: config ([`~transformers.PreTrainedConfig`]): The model configuration. device (`torch.device`): The device to use for initialization of the inverse frequencies. seq_len (`int`, *optional*): The current sequence length. Unused for this type of RoPE. Returns: Tuple of (`torch.Tensor`, `float`), containing the inverse frequencies for the RoPE embeddings and the post-processing scaling factor applied to the computed cos/sin (unused in this type of RoPE). rope_thetapartial_rotary_factorg?head_dimNrdtype)r4rB) r.getgetattr hidden_sizenum_attention_headsinttorcharangeint64tofloat) r#r4r:baser>r?dimattention_factorr"s r7r/7StableLmRotaryEmbedding.compute_default_rope_parametersKs(%%l3 & 6 6 : :;RTW X6:t4h8J8JfNhNh8h(23 U\\!S!5;;?BB&X]XcXcBdgjj k ))r9cLURSSS2S4R5RURSSS5R UR 5nUSS2SSS24R5n[ UR R[5(a0UR RS:waUR ROSn[USS9 UR5UR5-RSS5n[R"Xf4SS 9nUR5UR-nUR5UR-n SSS5 WR UR S 9W R UR S 94$!,(df  N@=f) NrrmpscpuF) device_typeenabledr@rNrA)r"rLexpandshaperKr4 isinstancetypestrr transposerHcatcosr0sinrB) r3x position_idsinv_freq_expandedposition_ids_expandedrUfreqsembr_r`s r7forwardStableLmRotaryEmbedding.forwardlsN!MM$4-8>>@GG HZHZ[\H]_acdehhijiqiqr ,QaZ 8 > > @'1!((--'E'E!((--[`J`ahhmmfk  U C&,,.1F1L1L1NNYYZ[]^_E))UN3C'')d444C'')d444C D vvAGGv$cff177f&;;; D Cs BF F#)r0r#r,r-r%N)NNN)__name__ __module__ __qualname____firstlineno__rHTensor__annotations__rr* staticmethodrrGtuplerLr/no_gradrrg__static_attributes__ __classcell__r6s@r7r r 8sllV~VV )-+/"*%*(*t* ~u$ % **> ]]_ <