iZhddlmZddlmZddlZddlmZddlmZddl m Z m Z ddl m Z ddlmZmZdd lmZdd lmZmZmZdd lmZmZdd lmZmZdd lmZmZddl m!Z!ddl"m#Z#m$Z$m%Z%ddl&m'Z'm(Z(m)Z)ddl*m+Z+ddl,m-Z-e%j\e/Z0GddejbZ2dZ3edd7dZ4dejjde6dejjfdZ7 d8dejbdejjdejjd ejjd!ejjdzd"e8d#e8d$e!e#fd%Z9ee4Gd&d'ejbZ:Gd(d)ejbZ;Gd*d+eZe$Gd0d1e=e Z?Gd2d3ee=Z@Gd4d5ee=ZAgd6ZBy)9)Callable)OptionalN)ACT2FN)Cache DynamicCache)GenerationMixin)use_kernel_func_from_hubuse_kernelized_func)create_causal_mask) GenericForSequenceClassificationGenericForTokenClassificationGradientCheckpointingLayer)BaseModelOutputWithPastCausalLMOutputWithPast)ROPE_INIT_FUNCTIONSdynamic_rope_update)ALL_ATTENTION_FUNCTIONSPreTrainedModel)Unpack)TransformersKwargsauto_docstringlogging)can_return_tuplemaybe_autocastmerge_with_config_defaults)capture_outputs) PhiConfigc eZdZUejed<d deffd Ze d dedzde dde dzde d e ffd Z ejed ZxZS)PhiRotaryEmbeddinginv_freqNconfigct||j|_|j|_||_|j j d|_|j}|jdk7rt|j}||j |\}|_ |jd|d|jd|jdy)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 `/mnt/e/genesis-system/.venv/lib/python3.12/site-packages/transformers/models/phi/modeling_phi.pyr*zPhiRotaryEmbedding.__init__'s "("@"@$*$B$B! 44[A!%!E!E >>Y &.t~~>L+7 V+L($( ZeD 0(..2BuUr4z torch.deviceseq_lenreturnz 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_dimNrdtype)r4rA) r.getgetattr hidden_sizenum_attention_headsinttorcharangeint64tofloat) r#r4r9baser=r>dimattention_factorr"s r7r/z2PhiRotaryEmbedding.compute_default_rope_parameters7s&%%l3 & 6 6 : :;RTW X6:t4h8J8JfNhNh8h(223 U\\!S!5;;?BB&X]XcXcBdgjj k )))r8cN|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) NrrmpscpuF) device_typeenabledr?rMr@)r"rKexpandshaperJr4 isinstancetypestrr transposerGcatcosr0sinrA) r3x position_idsinv_freq_expandedposition_ids_expandedrSfreqsembr]r^s r7forwardzPhiRotaryEmbedding.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$N)NNN)__name__ __module__ __qualname__rGTensor__annotations__rr* staticmethodrrFtuplerKr/no_gradrre __classcell__r6s@r7r!r!$sllVyV #'+/"*D *(*t* ~u$ % **>U]]_ <