
    Pha                     f   d dl mZmZmZ d dlZd dlmZ ddlmZ ddl	m
Z
mZ ddlmZ ddlmZmZ ddlmZ dd	lmZ dd
lmZmZ ddlmZmZ ddlmZmZ ddlmZ ddl m!Z!m"Z"m#Z#m$Z$ ddl%m&Z& ddl'm(Z( ddl)m*Z*  e$jV                  e,      Z- G d dej\                        Z/ G d dej\                        Z0d Z1d3dZ2dejf                  de4dejf                  fdZ5	 	 	 d4dej\                  dejf                  dejf                  d ejf                  d!eejf                     d"e6d#ee6   d$ee6   de7ejf                  ejf                  f   fd%Z8 G d& d'ej\                        Z9 G d( d)e      Z: G d* d+ej\                        Z;e" G d, d-e             Z<e" G d. d/e<             Z=e" G d0 d1e<e             Z>g d2Z?y)5    )CallableOptionalUnionN   )ACT2FN)CacheDynamicCache)GenerationMixin)create_causal_mask!create_sliding_window_causal_mask)FlashAttentionKwargs)GradientCheckpointingLayer)BaseModelOutputWithPastCausalLMOutputWithPast)ROPE_INIT_FUNCTIONSdynamic_rope_update)ALL_ATTENTION_FUNCTIONSPreTrainedModel)Unpack)TransformersKwargsauto_docstringcan_return_tuplelogging)deprecate_kwarg)check_model_inputs   )VaultGemmaConfigc                   <     e Zd Zddedef fdZd Zd Zd Z xZ	S )VaultGemmaRMSNormdimepsc                     t         |           || _        t        j                  t        j                  |            | _        y N)super__init__r!   nn	Parametertorchzerosweight)selfr    r!   	__class__s      l/var/www/html/saasai/venv/lib/python3.12/site-packages/transformers/models/vaultgemma/modeling_vaultgemma.pyr%   zVaultGemmaRMSNorm.__init__/   s.    ll5;;s#34    c                     |t        j                  |j                  d      j                  dd      | j                  z         z  S )N   T)keepdim)r(   rsqrtpowmeanr!   )r+   xs     r-   _normzVaultGemmaRMSNorm._norm4   s4    5;;quuQx}}R}>IJJJr.   c                     | j                  |j                               }|d| j                  j                         z   z  }|j                  |      S )Ng      ?)r7   floatr*   type_as)r+   r6   outputs      r-   forwardzVaultGemmaRMSNorm.forward7   sC    AGGI& 3!2!2!445~~a  r.   c                 ^    t        | j                  j                         d| j                   S )Nz, eps=)tupler*   shaper!   )r+   s    r-   
extra_reprzVaultGemmaRMSNorm.extra_repr>   s'    ))*+6$((<<r.   )gư>)
__name__
__module____qualname__intr9   r%   r7   r<   r@   __classcell__r,   s   @r-   r   r   .   s&    5C 5e 5
K!=r.   r   c                   $     e Zd Z fdZd Z xZS )VaultGemmaMLPc                    t         |           || _        |j                  | _        |j                  | _        t        j                  | j                  | j                  d      | _        t        j                  | j                  | j                  d      | _        t        j                  | j                  | j                  d      | _	        t        |j                     | _        y NFbias)r$   r%   confighidden_sizeintermediate_sizer&   Linear	gate_projup_proj	down_projr   hidden_activationact_fnr+   rM   r,   s     r-   r%   zVaultGemmaMLP.__init__C   s    !--!'!9!94#3#3T5K5KRWXyy!1!143I3IPUV4#9#94;K;KRWXV556r.   c                     | j                  | j                  | j                  |            | j                  |      z        }|S r#   )rS   rU   rQ   rR   )r+   r6   rS   s      r-   r<   zVaultGemmaMLP.forwardM   s6    NN4;;t~~a/@#ADLLQRO#ST	r.   )rA   rB   rC   r%   r<   rE   rF   s   @r-   rH   rH   B   s    7r.   rH   c                     | dd| j                   d   dz  f   }| d| j                   d   dz  df   }t        j                  | |fd      S )z*Rotates half the hidden dims of the input..Nr1   r0   r    )r?   r(   cat)r6   x1x2s      r-   rotate_halfr]   R   sZ    	
3"!''"+"""	#B	
3q ""	#B99rc2YB''r.   c                     |j                  |      }|j                  |      }| |z  t        |       |z  z   }||z  t        |      |z  z   }||fS )a  Applies Rotary Position Embedding to the query and key tensors.

    Args:
        q (`torch.Tensor`): The query tensor.
        k (`torch.Tensor`): The key tensor.
        cos (`torch.Tensor`): The cosine part of the rotary embedding.
        sin (`torch.Tensor`): The sine part of the rotary embedding.
        position_ids (`torch.Tensor`, *optional*):
            Deprecated and unused.
        unsqueeze_dim (`int`, *optional*, defaults to 1):
            The 'unsqueeze_dim' argument specifies the dimension along which to unsqueeze cos[position_ids] and
            sin[position_ids] so that they can be properly broadcasted to the dimensions of q and k. For example, note
            that cos[position_ids] and sin[position_ids] have the shape [batch_size, seq_len, head_dim]. Then, if q and
            k have the shape [batch_size, heads, seq_len, head_dim], then setting unsqueeze_dim=1 makes
            cos[position_ids] and sin[position_ids] broadcastable to the shapes of q and k. Similarly, if q and k have
            the shape [batch_size, seq_len, heads, head_dim], then set unsqueeze_dim=2.
    Returns:
        `tuple(torch.Tensor)` comprising of the query and key tensors rotated using the Rotary Position Embedding.
    )	unsqueezer]   )qkcossinposition_idsunsqueeze_dimq_embedk_embeds           r-   apply_rotary_pos_embrh   Y   sY    ( --
&C
--
&C3w;q>C/0G3w;q>C/0GGr.   hidden_statesn_repreturnc                     | j                   \  }}}}|dk(  r| S | dddddddddf   j                  |||||      } | j                  |||z  ||      S )z
    This is the equivalent of torch.repeat_interleave(x, dim=1, repeats=n_rep). The hidden states go from (batch,
    num_key_value_heads, seqlen, head_dim) to (batch, num_attention_heads, seqlen, head_dim)
    r   N)r?   expandreshape)ri   rj   batchnum_key_value_headsslenhead_dims         r-   	repeat_kvrs   t   so    
 2?1D1D.Ehz!!Qa"23::5BUW\^bdlmM  (;e(CT8TTr.   modulequerykeyvalueattention_maskdropoutscalingsoftcapc                    || j                   dz  }t        || j                        }	t        || j                        }
t        j                  ||	j                  dd            |z  }|||z  }t        j                  |      }||z  }|#|d d d d d d d |	j                  d   f   }||z   }t        j                  j                  |dt        j                        j                  |j                        }t        j                  j                  ||| j                        }t        j                  ||
      }|j                  dd      j!                         }||fS )	N      r0   r   r1   )r    dtype)ptrainingr   )rr   rs   num_key_value_groupsr(   matmul	transposetanhr?   r&   
functionalsoftmaxfloat32tor   ry   r   
contiguous)rt   ru   rv   rw   rx   ry   rz   r{   kwargs
key_statesvalue_statesattn_weightscausal_maskattn_outputs                 r-   eager_attention_forwardr      sA    //4'3 ; ;<JUF$?$?@L<<z';';Aq'ABWLL#g-zz,/#g-!$Q1.D
0@0@0D.D%DE#k1 ==((2U]](SVVW\WbWbcL==((6??([L,,|\:K''1-88:K$$r.   c                   R    e Zd ZdZdedef fdZ eddd      	 	 dd	ej                  d
e
ej                  ej                  f   deej                     dee   deej                     dee   de
ej                  eej                     ee
ej                        f   fd       Z xZS )VaultGemmaAttentionz=Multi-headed attention from 'Attention Is All You Need' paperrM   	layer_idxc                    t         |           || _        || _        t	        |d|j
                  |j                  z        | _        |j                  |j                  z  | _	        |j                  dz  | _        | j                  j                  | _        d| _        t        j                  |j
                  |j                  | j                  z  |j                         | _        t        j                  |j
                  |j                  | j                  z  |j                         | _        t        j                  |j
                  |j                  | j                  z  |j                         | _        t        j                  |j                  | j                  z  |j
                  |j                         | _        | j                  j*                  | _        |j,                  |   dk(  r|j.                  | _        y d | _        y )Nrr   r}   TrK   sliding_attention)r$   r%   rM   r   getattrrN   num_attention_headsrr   rp   r   query_pre_attn_scalarrz   attention_dropout	is_causalr&   rP   attention_biasq_projk_projv_projo_projattn_logit_softcappinglayer_typessliding_windowr+   rM   r   r,   s      r-   r%   zVaultGemmaAttention.__init__   s   "
F4F4F&JdJd4de$*$>$>&B\B\$\!33T9!%!>!>ii : :T]] JQWQfQf
 ii : :T]] JQWQfQf
 ii : :T]] JQWQfQf
 ii&&68J8JQWQfQf
 '+kk&H&H#7=7I7I)7TXk7kf33qur.   past_key_valuepast_key_values4.58new_nameversionri   position_embeddingsrx   cache_positionr   rk   c                 `   |j                   d d }g |d| j                  }| j                  |      j                  |      j	                  dd      }	| j                  |      j                  |      j	                  dd      }
| j                  |      j                  |      j	                  dd      }|\  }}t        |	|
||      \  }	}
|'|||d}|j                  |
|| j                  |      \  }
}t        }| j                  j                  dk7  rt        | j                  j                     } || |	|
||f| j                  r| j                  nd| j                   | j"                  | j$                  d|\  }} |j&                  g |d j)                         }| j+                  |      }||fS )Nr1   r   r0   )rc   rb   r   eager        )ry   rz   r   r{   )r?   rr   r   viewr   r   r   rh   updater   r   rM   _attn_implementationr   r   r   rz   r   r   rn   r   r   )r+   ri   r   rx   r   r   r   input_shapehidden_shapequery_statesr   r   rb   rc   cache_kwargsattention_interfacer   r   s                     r-   r<   zVaultGemmaAttention.forward   s    $))#2.88b8$--8{{=166|DNNqRST[[/44\BLLQPQR
{{=166|DNNqRST&S#7jRUWZ#[ j&#&snUL'6'='=j,X\XfXfht'u$J(?;;++w6"9$++:Z:Z"[$7%
 /3mmD**LL..//%
 %
!\ *k));;;;FFHkk+.L((r.   )NN)rA   rB   rC   __doc__r   rD   r%   r   r(   Tensorr>   r   r   
LongTensorr   r   r<   rE   rF   s   @r-   r   r      s    Gv/ vC v2 %0A6R ,059+)||+) #5<<#=>+) !.	+)
 "%+) !!1!12+) -.+) 
u||Xell3XeELL>Q5RR	S+) S+)r.   r   c                   z    e Zd Zdedef fdZ eddd      	 	 	 	 	 	 ddej                  d	e	ej                  ej                  f   d
e
ej                     de
ej                     de
e   de
e   de
e   de
ej                     de	ej                  e
e	ej                  ej                  f      f   fd       Z xZS )VaultGemmaDecoderLayerrM   r   c                 V   t         |           |j                  | _        || _        |j                  |   | _        t        ||      | _        t        |      | _	        t        |j                  |j                        | _        t        |j                  |j                        | _        y )N)rM   r   r!   )r$   r%   rN   rM   r   attention_typer   	self_attnrH   mlpr   rms_norm_epsinput_layernormpre_feedforward_layernormr   s      r-   r%   zVaultGemmaDecoderLayer.__init__   s    !--$00;,FiP (01C1CI\I\]):6;M;MSYSfSf)g&r.   r   r   r   r   ri   r   rx   rd   output_attentions	use_cacher   rk   c	                     |}
| j                  |      } | j                  d||||||||d|	\  }}|
|z   }|}
| j                  |      }| j                  |      }|
|z   }|f}|r||fz  }|S )N)ri   r   rx   rd   r   r   r   r    )r   r   r   r   )r+   ri   r   rx   rd   r   r   r   r   r   residualself_attn_weightsoutputss                r-   r<   zVaultGemmaDecoderLayer.forward   s     !,,];+94>> 
,
' 3)%+/)
,
 
,
(( !=0 66}E/ =0 ")++Gr.   )NNNFFN)rA   rB   rC   r   rD   r%   r   r(   r   r>   r   r   r   boolFloatTensorr<   rE   rF   s   @r-   r   r      s   	h/ 	hC 	h %0A6R
 2637+/,1$)59%||% #5<<#=>% !.	%
 u//0% "%% $D>% D>% !!1!12% 
u  (51B1BEDUDU1U+V"WW	X% S%r.   r   c                   ~     e Zd ZU ej                  ed<   ddef fdZ ej                         e	d               Z
 xZS )VaultGemmaRotaryEmbeddinginv_freqrM   c                    t         |           t        |d      rUt        |j                  t
              r;|j                  j                  d|j                  j                  d            | _        nd| _        |j                  | _	        |j                  | _
        || _        t        | j                     | _        | j                  | j                  |      \  }| _        | j                  d|d       | j                   | _        y )Nrope_scaling	rope_typetypedefaultr   F)
persistent)r$   r%   hasattr
isinstancer   dictgetr   max_position_embeddingsmax_seq_len_cachedoriginal_max_seq_lenrM   r   rope_init_fnattention_scalingregister_bufferr   original_inv_freq)r+   rM   devicer   r,   s       r-   r%   z"VaultGemmaRotaryEmbedding.__init__&  s    6>*z&:M:Mt/T#0044[&BUBUBYBYZ`BabDN&DN"("@"@$*$B$B!/?+/+<+<T[[&+Q($(ZeD!%r.   c                 b   | j                   d d d d f   j                         j                  |j                  d   dd      j	                  |j
                        }|d d d d d f   j                         }t        |j
                  j                  t              r/|j
                  j                  dk7  r|j
                  j                  nd}t        j                  |d      5  |j                         |j                         z  j                  dd      }t        j                  ||fd	      }|j                         | j                  z  }|j                         | j                  z  }	d d d        j	                  |j                   
      	j	                  |j                   
      fS # 1 sw Y   AxY w)Nr   r1   r   mpscpuF)device_typeenabledr0   rY   r   )r   r9   rm   r?   r   r   r   r   strr(   autocastr   rZ   rb   r   rc   r   )
r+   r6   rd   inv_freq_expandedposition_ids_expandedr   freqsembrb   rc   s
             r-   r<   z!VaultGemmaRotaryEmbedding.forward7  sQ    !MM$4-8>>@GGHZHZ[\H]_acdehhijiqiqr ,QaZ 8 > > @'1!((--'E!((--[`J`ahhmmfk^^UC&,,.1F1L1L1NNYYZ[]^_E))UEN3C'')d444C'')d444C	 D vvAGGv$cff177f&;;; DCs    BF%%F.r#   )rA   rB   rC   r(   r   __annotations__r   r%   no_gradr   r<   rE   rF   s   @r-   r   r   #  s>    ll// /" U]]_<  <r.   r   c                   \     e Zd ZU eed<   dZdZdgZdgZdZ	dZ
dZdZdZeedZ fdZ xZS )VaultGemmaPreTrainedModelrM   modelTr   r   )ri   
attentionsc                     t         |   |       d|j                  j                  v r%|j                  j
                  j                          y y )NRMSNorm)r$   _init_weightsr,   rA   r*   datazero_)r+   rt   r,   s     r-   r   z'VaultGemmaPreTrainedModel._init_weightsY  sA    f% ((111MM$$& 2r.   )rA   rB   rC   r   r   base_model_prefixsupports_gradient_checkpointing_no_split_modules_skip_keys_device_placement_supports_flash_attn_supports_sdpa_supports_flex_attn_can_compile_fullgraph_supports_attention_backendr   r   _can_record_outputsr   rE   rF   s   @r-   r   r   G  s\    &*#12#4"5N!"&/)
' 'r.   r   c                        e Zd Zdef fdZee	 	 	 	 	 	 	 	 	 ddeej                     deej                     deej                     dee   deej                     dee   d	ee   d
ee   deej                     dee   defd              Z xZS )VaultGemmaModelrM   c           	         t         |   |       |j                  | _        |j                  | _        t        j                  |j                  |j                  | j                        | _        t        j                  t        |j                        D cg c]  }t        ||       c}      | _        t        |j                  |j                        | _        t#        |      | _        d| _        | j)                          y c c}w )Nr   rM   F)r$   r%   pad_token_idpadding_idx
vocab_sizer&   	EmbeddingrN   embed_tokens
ModuleListrangenum_hidden_layersr   layersr   r   normr   
rotary_embgradient_checkpointing	post_initr   s      r-   r%   zVaultGemmaModel.__init__c  s     !.. ++LL):):F<N<NPTP`P`ammHMfNfNfHghHg9#FI6Hgh
 &f&8&8f>Q>QR	36B&+# 	 is   D	input_idsrx   rd   r   inputs_embedsr   r   output_hidden_statesr   r   rk   c
                    ||n| j                   j                  }||n| j                   j                  }||n| j                   j                  }|d u |d uz  rt	        d      | j
                  r%| j                  r|rt        j                  d       d}|| j                  |      }|r$|"| j                  st        | j                         }|	F||j                         nd}t        j                  |||j                  d   z   |j                        }	||	j!                  d      }t#        |x}t$              s*| j                   |||	||d}t'        di |t)        di |d	}|}| j+                  ||      }t        j,                  | j                   j.                  d
z  |j0                        }||z  }|rdnd }|rdnd }| j2                  d | j                   j4                   D ]9  }|r||fz  } ||f|||j6                     |||||	d|
}|d   }|s1||d   fz  }; | j9                  |      }|r||fz  }t;        ||||      S )Nz:You must specify exactly one of input_ids or inputs_embedszX`use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`.Fr  r   r   )r   )rM   input_embedsrx   r   r   rd   )full_attentionr   g      ?r   r   )r   rx   rd   r   r   r   r   )last_hidden_stater   ri   r   )rM   r   r  r   
ValueErrorr  r   loggerwarning_oncer  r	   get_seq_lengthr(   aranger?   r   r_   r   r   r   r   r  tensorrN   r   r  r  r   r  r   )r+   r  rx   rd   r   r  r   r   r  r   r   past_seen_tokenscausal_mask_mappingmask_kwargsri   r   
normalizerall_hidden_statesall_self_attnsdecoder_layerlayer_outputss                        r-   r<   zVaultGemmaModel.forwards  s    2C1N-TXT_T_TqTq$8$D $++JjJj 	 "+!6IDKK<Q<Q	-t";<YZZ&&4==Yj I  --i8M0*$++>O!CRC^==?de"\\ "2]5H5H5K"KTaThThN )33A6L ?-F ++ -"0"0#2 ,K #5"C{"C%F%U%U# & #oom\J
 \\$++"9"93">mFYFYZ
%
2 #7BD0d![[)H4;;+H+HIM#!m%55!)
$72=3O3OP) /"3#-
 
M *!,M =#3"55' J* 		-0-!11&+++%	
 	
r.   )	NNNNNNNNN)rA   rB   rC   r   r%   r   r   r   r(   r   r   r   r   r   r   r   r   r<   rE   rF   s   @r-   r  r  a  s   /    151537+/59$(,0/359k
E,,-k
 !.k
 u//0	k

 "%k
   1 12k
 D>k
 $D>k
 'tnk
 !!1!12k
 +,k
 
!k
  k
r.   r  c                   r    e Zd ZdgZddiZddgdgfiZ fdZee	 	 	 	 	 	 	 	 	 	 	 dde	e
j                     de	e
j                     d	e	e
j                     d
e	e   de	e
j                     de	e
j                     de	e   de	e   de	e   de	e
j                     deee
j                  f   defd              Z xZS )VaultGemmaForCausalLMzlm_head.weightlm_headcolwise_repri   logitsc                     t         |   |       t        |      | _        |j                  | _        t        j                  |j                  |j                  d      | _        | j                          y rJ   )
r$   r%   r  r   r
  r&   rP   rN   r,  r  rV   s     r-   r%   zVaultGemmaForCausalLM.__init__  sU     $V,
 ++yy!3!3V5F5FUS 	r.   r  rx   rd   r   r  labelsr   r   r  r   logits_to_keeprk   c                    ||n| j                   j                  }|	|	n| j                   j                  }	 | j                  d||||||||	|
d	|}|j                  }t        |t              rt        | d      n|}| j                  |dd|ddf         }| j                   j                  G|| j                   j                  z  }t        j                  |      }|| j                   j                  z  }d}| | j                  ||| j                  fi |}t        |||j                  |j                   |j"                        S )a  
        Example:

        ```python
        >>> from transformers import AutoTokenizer, VaultGemmaForCausalLM

        >>> model = VaultGemmaForCausalLM.from_pretrained("google/gemma-2-9b")
        >>> tokenizer = AutoTokenizer.from_pretrained("google/gemma-2-9b")

        >>> prompt = "What is your favorite condiment?"
        >>> inputs = tokenizer(prompt, return_tensors="pt")

        >>> # Generate
        >>> generate_ids = model.generate(inputs.input_ids, max_length=30)
        >>> tokenizer.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0]
        "What is your favorite condiment?"
        ```N)	r  rx   rd   r   r  r   r   r  r   )lossr.  r   ri   r   r   )rM   r   r  r   r  r   rD   slicer,  final_logit_softcappingr(   r   loss_functionr
  r   r   ri   r   )r+   r  rx   rd   r   r  r0  r   r   r  r   r1  r   r   ri   slice_indicesr.  r3  s                     r-   r<   zVaultGemmaForCausalLM.forward  sW   F 2C1N-TXT_T_TqTq$8$D $++JjJj 	 ,64:: ,
)%+'/!5),
 ,
  118B>SV8W~ot4]kmA}a,?@A;;..:dkkAAAFZZ'FdkkAAAF%4%%ffdooPPD%#33!//))
 	
r.   )NNNNNNNNNNr   )rA   rB   rC   _tied_weights_keys_tp_plan_pp_planr%   r   r   r   r(   r   r   r   r   r   r   rD   r   r<   rE   rF   s   @r-   r+  r+    sP   *+=)H_-z:;H  151537+/59-1$(,0/35934F
E,,-F
 !.F
 u//0	F

 "%F
   1 12F
 ))*F
 D>F
 $D>F
 'tnF
 !!1!12F
 c5<</0F
 
 F
  F
r.   r+  )r+  r  r   )Nr   )r   NN)@typingr   r   r   r(   torch.nnr&   activationsr   cache_utilsr   r	   
generationr
   masking_utilsr   r   modeling_flash_attention_utilsr   modeling_layersr   modeling_outputsr   r   modeling_rope_utilsr   r   modeling_utilsr   r   processing_utilsr   utilsr   r   r   r   utils.deprecationr   utils.genericr   configuration_vaultgemmar   
get_loggerrA   r  Moduler   rH   r]   rh   r   rD   rs   r9   r>   r   r   r   r   r   r  r+  __all__r   r.   r-   <module>rN     s  , - ,   ! . ) R B 9 O K F & R R 0 / 6 
		H	%=		 =(BII  (6	UU\\ 	U# 	U%,, 	U$ ## %II %<< % 
 % <<	 %
 U\\* %  % e_ % e_ % 5<<%& %FH)")) H)V27 2j!<		 !<H ' ' '2 ~
/ ~
 ~
B V
5 V
 V
r Tr.   