i$tddlZddlmZddlmZddlZddlmZddlmZ ddl m Z ddl m Z mZmZdd lmZdd lmZmZdd lmZdd lmZmZdd lmZmZmZmZddlm Z m!Z!ddl"m#Z#m$Z$ddl%m&Z&ddl'm(Z(ddl)m*Z*m+Z+m,Z,m-Z-ddl.m/Z/m0Z0ddl1m2Z2ddl3m4Z4e-jje6Z7GddejpZ9GddejpZ:dZ;eddd ejzfd!Z?d"Z@Gd#d$ejpZAGd%d&eAZBGd'd(eAZCed)Gd*d+ejpZDeAeBeCd,ZEGd-d.eZFe+Gd/d0e&ZGe+Gd1d2eGZHe+Gd3d4eGeZIGd5d6eeGZJGd7d8eeGZKGd9d:eeGZLgd;ZMy)=N)Callable)Optional)nn)initialization)ACT2FN)Cache DynamicCache StaticCache)GenerationMixin)use_kernel_forward_from_hubuse_kernel_func_from_hub)create_causal_mask)_flash_attention_forward!flash_attn_supports_top_left_mask)GenericForQuestionAnswering GenericForSequenceClassificationGenericForTokenClassificationGradientCheckpointingLayer)BaseModelOutputWithPastCausalLMOutputWithPast)ROPE_INIT_FUNCTIONSdynamic_rope_update)PreTrainedModel)Unpack)TransformersKwargsauto_docstringcan_return_tuplelogging)maybe_autocastmerge_with_config_defaults)capture_outputs)DiffLlamaConfigc$eZdZfdZdZxZS) DiffLlamaMLPct|||_|j|_|j|_t j |j|jd|_t j |j|jd|_t j |j|jd|_ t|j|_ yNFbias) super__init__config hidden_sizeintermediate_sizerLinear gate_projup_proj down_projr hidden_actact_fnselfr- __class__s l/mnt/e/genesis-system/.venv/lib/python3.12/site-packages/transformers/models/diffllama/modeling_diffllama.pyr,zDiffLlamaMLP.__init__9s  !--!'!9!94#3#3T5K5KRWXyy!1!143I3IPUV 4#9#94;K;KRWXV../ c|j|j|j||j|z}|SN)r3r5r1r2)r7xr3s r9forwardzDiffLlamaMLP.forwardCs6NN4;;t~~a/@#ADLLQRO#ST r:)__name__ __module__ __qualname__r,r> __classcell__r8s@r9r&r&8s 0r:r&c eZdZUejed<d deffd Ze d dedzde dde dzde d e ffd Z ejed ZxZS)DiffLlamaRotaryEmbeddinginv_freqNr-ct||j|_|j|_||_|j j d|_|j}|jdk7rt|j}||j |\}|_ |jd|d|jd|jdy)N rope_typedefaultrFF) persistentoriginal_inv_freq) r+r,max_position_embeddingsmax_seq_len_cachedoriginal_max_seq_lenr-rope_parametersrHcompute_default_rope_parametersrattention_scalingregister_bufferclone)r7r-device rope_init_fnrFr8s r9r,z!DiffLlamaRotaryEmbedding.__init__Ks "("@"@$*$B$B! 44[A!%!E!E >>Y &.t~~>L+7 V+L($( ZeD 0(..2BuUr:rTz torch.deviceseq_lenreturnz torch.Tensorc|jd}t|ddxs|j|jz}d}d|t j d|dtj j|tj|z zz }||fS) a Computes the inverse frequencies according to the original RoPE implementation Args: config ([`~transformers.PreTrainedConfig`]): The model configuration. device (`torch.device`): The device to use for initialization of the inverse frequencies. seq_len (`int`, *optional*): The current sequence length. Unused for this type of RoPE. Returns: Tuple of (`torch.Tensor`, `float`), containing the inverse frequencies for the RoPE embeddings and the post-processing scaling factor applied to the computed cos/sin (unused in this type of RoPE). rope_thetahead_dimNg?rdtype)rTr]) rOgetattrr.num_attention_headstorcharangeint64tofloat)r-rTrVbasedimattention_factorrFs r9rPz8DiffLlamaRotaryEmbedding.compute_default_rope_parameters[s&%%l3fj$/c63E3EIcIc3c U\\!S!5;;?BB&X]XcXcBdgjj k )))r:cN|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) Nrr#mpscpuF) device_typeenabledr[rfr\)rFrdexpandshapercrT isinstancetypestrr transposer`catcosrQsinr]) r7r= position_idsinv_freq_expandedposition_ids_expandedrlfreqsembrvrws r9r>z DiffLlamaRotaryEmbedding.forwardysR!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$r<)NNN)r?r@rAr`Tensor__annotations__r$r, staticmethodrinttuplerdrPno_gradrr>rBrCs@r9rErEHsllVV )-+/"*$&*(*t* ~u$ % **:U]]_ <