3jiSSKJr SSKJr SSKJr SSKJr SSKJ r SSK J r SSK J r SS KJrJrJrJr SS KJrJr SS KJrJr SS KJr SS KJrJrJrJr SSK J!r!J"r"J#r# SSK$J%r% SSK&J'r' SSK(J)r)J*r* \"5(a SSK+r+SSK+J,r, "SS\,RZ5r.Sr/S\+R`S\1S\+R`4Sjr2S?S\,RZS\+R`S\+R`S \+R`S!\+R`S-S"\3S#\3S$\\4S%jjr4S@S&jr5"S'S(\,RZ5r6"S)S*\,RZ5r7"S+S,\ 5r8\"S-S.\55r9"S/S0\95r:"S1S2\,RZ5r;\"S3S4\55r<\"S5S69"S7S8\955r=\"S9S69\"S:S;\555r>\"S5S69"S<S=\9\ 55r?/S>Qr@g)A)Callable) dataclass)Optional)ACT2FN)Cache)GenerationMixin)GradientCheckpointingLayer)BaseModelOutputWithPastBaseModelOutputWithPoolingCausalLMOutputWithPast ModelOutput)ROPE_INIT_FUNCTIONSdynamic_rope_update)ALL_ATTENTION_FUNCTIONSPreTrainedModel)Unpack)TransformersKwargsauto_docstringis_torch_availabletorch_compilable_check)can_return_tuplemaybe_autocastmerge_with_config_defaults)capture_outputs) AutoModel) GlmAsrConfigGlmAsrEncoderConfigN)nnc ^\rSrSr%\R \S'SS\4U4Sjjjr\ SS\S-S\ SS\ S-S \ S \ 44S jj5r\R"5\S 55rS rU=r$)GlmAsrRotaryEmbedding2inv_freqNconfigc>[TU]5 URUlURUlXlUR R SUlURnURS:wa[URnU"UR U5uo@l URSUSS9 URSUR5SS9 g)N rope_typedefaultr%F) persistentoriginal_inv_freq) super__init__max_position_embeddingsmax_seq_len_cachedoriginal_max_seq_lenr&rope_parametersr(compute_default_rope_parametersrattention_scalingregister_bufferclone)selfr&device rope_init_fnr% __class__s d/home/wildlama/miniconda3/lib/python3.13/site-packages/transformers/models/glmasr/modeling_glmasr.pyr-GlmAsrRotaryEmbedding.__init__5s "("@"@$*$B$B! 44[A!%!E!E >>Y &.t~~>L+7 V+L(( ZeD 0(..2BuUr7z torch.deviceseq_lenreturnz torch.Tensorc jURSnURRSS5n[USS5=(d URUR-n[ XT-5nSnSU[ R"SUS[ RS9RU[ RS 9U- -- nX4$) aH Computes the inverse frequencies according to the original RoPE implementation Args: config ([`~transformers.PreTrainedConfig`]): The model configuration. device (`torch.device`): The device to use for initialization of the inverse frequencies. seq_len (`int`, *optional*): The current sequence length. Unused for this type of RoPE. Returns: Tuple of (`torch.Tensor`, `float`), containing the inverse frequencies for the RoPE embeddings and the post-processing scaling factor applied to the computed cos/sin (unused in this type of RoPE). rope_thetapartial_rotary_factorg?head_dimNrrdtype)r7rD) r1getgetattr hidden_sizenum_attention_headsinttorcharangeint64tofloat) r&r7r=baserArBdimattention_factorr%s r:r25GlmAsrRotaryEmbedding.compute_default_rope_parametersEs&%%l3 & 6 6 : :;RTW X6:t4h8J8JfNhNh8h(23 U\\!S!5;;?BB&X]XcXcBdgjj k ))r<cLURSSS2S4R5RURSSS5R UR 5nUSS2SSS24R5n[ UR R[5(a0UR RS:waUR ROSn[USS9 UR5UR5-RSS5n[R"Xf4SS 9nUR5UR-nUR5UR-n SSS5 WR UR S 9W R UR S 94$!,(df  N@=f) NrrmpscpuF) device_typeenabledrrPrC)r%rNexpandshaperMr7 isinstancetypestrr transposerJcatcosr3sinrD) r6x position_idsinv_freq_expandedposition_ids_expandedrWfreqsembrarbs r:forwardGlmAsrRotaryEmbedding.forwardesN!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#)r3r&r/r0r(N)NNN)__name__ __module__ __qualname____firstlineno__rJTensor__annotations__rr- staticmethodrrItuplerNr2no_gradrri__static_attributes__ __classcell__r9s@r:r#r#2sllV|VV &*+/"*t#*(*t* ~u$ % **> ]]_ <