iW|ddlmZddlmZddlZddlmcmZddlmZddl m Z ddl m Z ddlmZmZdd lmZdd lmZmZmZmZdd lmZdd lmZdd lmZmZddlm Z m!Z!ddl"m#Z#m$Z$ddl%m&Z&ddl'm(Z(m)Z)m*Z*m+Z+ddl,m-Z-m.Z.ddl/m0Z0m1Z1ddl2m3Z3edGddejhZ5GddejhZ6GddejhZ7dZ8eddAdZ9d ejtd!e;d"ejtfd#Z< dBd$ejhd%ejtd&ejtd'ejtd(ejtdzd)e=d*e=d+e&e(fd,Z>ee9Gd-d.ejhZ?eGd/d0ejhZ@Gd1d2ejhZAGd3d4ejhZBGd5d6eZCe)Gd7d8e$ZDe)Gd9d:eDZE dCd;ejteFejtzdzdd?eDeZHgd@ZIy)D)Callable)OptionalN)nn)initialization)ACT2FN)Cache DynamicCache)GenerationMixin)use_experts_implementationuse_kernel_forward_from_hubuse_kernel_func_from_hubuse_kernelized_func)create_causal_mask)GradientCheckpointingLayer)MoeCausalLMOutputWithPastMoeModelOutputWithPast)ROPE_INIT_FUNCTIONSdynamic_rope_update)ALL_ATTENTION_FUNCTIONSPreTrainedModel)Unpack)TransformersKwargsauto_docstringcan_return_tupleis_grouped_mm_available)maybe_autocastmerge_with_config_defaults)OutputRecordercapture_outputs) OlmoeConfigRMSNormc`eZdZddfd Zdej dej fdZdZxZS) OlmoeRMSNormreturnct|tjt j ||_||_y)z; OlmoeRMSNorm is equivalent to T5LayerNorm N)super__init__r Parametertorchonesweightvariance_epsilon)self hidden_sizeeps __class__s d/mnt/e/genesis-system/.venv/lib/python3.12/site-packages/transformers/models/olmoe/modeling_olmoe.pyr)zOlmoeRMSNorm.__init__2s1 ll5::k#:; # hidden_statesc"|j}|jtj}|j dj dd}|tj ||jzz}|j|j|zS)NT)keepdim) dtypetor+float32powmeanrsqrtr.r-)r/r5 input_dtypevariances r3forwardzOlmoeRMSNorm.forward:sy#)) %((7  $$Q',,R,>% Ht?T?T4T(UU {{]--k:::r4c^t|jjd|jS)Nz, eps=)tupler-shaper.)r/s r3 extra_reprzOlmoeRMSNorm.extra_reprAs* ))*+6$2G2G1HIIr4)gh㈵>)r&N) __name__ __module__ __qualname__r)r+TensorrBrF __classcell__r2s@r3r%r%0s)$;U\\;ell;Jr4r%c eZdZUejed<d deffd Ze d dedzde dde dzde d e ffd Z ejed ZxZS)OlmoeRotaryEmbeddinginv_freqNconfigct||j|_|j|_||_|j j d|_|j}|jdk7rt|j}||j |\}|_ |jd|d|jd|jdy)N rope_typedefaultrOF) persistentoriginal_inv_freq) r(r)max_position_embeddingsmax_seq_len_cachedoriginal_max_seq_lenrPrope_parametersrRcompute_default_rope_parametersrattention_scalingregister_bufferclone)r/rPdevice rope_init_fnrOr2s r3r)zOlmoeRotaryEmbedding.__init__Hs "("@"@$*$B$B! 44[A!%!E!E >>Y &.t~~>L+7 V+L($( ZeD 0(..2BuUr4r^z torch.deviceseq_lenr&z torch.Tensorc|jd}t|ddxs|j|jz}d}d|t j d|dtj j|tj|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_thetahead_dimNg?rr7r:)r^r:) rYgetattrr0num_attention_headsr+arangeint64r;float)rPr^r`basedimattention_factorrOs r3rZz4OlmoeRotaryEmbedding.compute_default_rope_parametersXs&%%l3fj$/c63E3EIcIc3c 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) Nrr8r!mpscpuF) device_typeenabledr7rkrd)rOriexpandrEr;r^ isinstancetypestrr transposer+catcosr[sinr:) r/x position_idsinv_freq_expandedposition_ids_expandedrpfreqsembryrzs r3rBzOlmoeRotaryEmbedding.forwardvsR!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$N)NNN)rGrHrIr+rJ__annotations__r"r) staticmethodrintrDrirZno_gradrrBrKrLs@r3rNrNEsllV{V %)+/"*d"*(*t* ~u$ % **:U]]_ <