
    hp-                        d dl mZmZ d dl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 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 ddlmZmZmZmZmZm Z m!Z!m"Z" ddl#m$Z$  ejJ                  e&      Z'dZ(dZ) G d de      Z* G d de      Z+ G d de      Z, G d de       Z- G d de      Z. G d de      Z/ G d d e      Z0 G d! d"e      Z1g d#Z2y)$    )CallableOptionalN   )CacheDynamicCache)create_causal_mask)GradientCheckpointingLayer)BaseModelOutputWithPast)ALL_ATTENTION_FUNCTIONS)Unpack)TransformersKwargslogging)deprecate_kwarg   )CLIPMLP)LlamaAttentionLlamaForCausalLMLlamaForSequenceClassificationLlamaForTokenClassification
LlamaModelLlamaRotaryEmbeddingapply_rotary_pos_embeager_attention_forward   )	PhiConfigzmicrosoft/phi-1r   c                   "    e Zd Zdedef fdZ eddd      	 	 ddej                  d	e	ej                  ej                  f   d
e
ej                     de
e   de
ej                     de	ej                  e
ej                     f   fd       Z xZS )PhiAttentionconfig	layer_idxc                    t         |   ||       t        j                  |j                  |j
                  | j                  z  d      | _        t        j                  |j                  |j                  | j                  z  d      | _	        t        j                  |j                  |j                  | j                  z  d      | _
        t        j                  |j
                  | j                  z  |j                  d      | _        | `t        | j                  |j                  z        | _        |j                   | _        | j                   r}t        j"                  |j                  |j
                  z  |j$                  d      | _        t        j"                  |j                  |j
                  z  |j$                  d      | _        y y )NTbias)epselementwise_affine)super__init__nnLinearhidden_sizenum_attention_headshead_dimq_projnum_key_value_headsk_projv_projdenseo_projintpartial_rotary_factorrotary_ndimsqk_layernorm	LayerNormlayer_norm_epsq_layernormk_layernormselfr   r   	__class__s      a/var/www/html/eduruby.in/venv/lib/python3.12/site-packages/transformers/models/phi/modular_phi.pyr&   zPhiAttention.__init__%   sb   +ii 2 2F4N4NQUQ^Q^4^eijii 2 2F4N4NQUQ^Q^4^eijii 2 2F4N4NQUQ^Q^4^eijYYv99DMMI6K]K]dhi
K0L0L LM"//!||""f&@&@@fF[F[pt D  "||""f&@&@@fF[F[pt D	     past_key_valuepast_key_values4.58new_nameversionhidden_statesposition_embeddingsattention_maskcache_positionreturnc                    |j                   d d }g |d| j                  }| j                  |      j                  |      j	                  dd      }	| j                  |      j                  |      j	                  dd      }
| j                  |      j                  |      j	                  dd      }| j                  r"| j                  |	      }	| j                  |
      }
|\  }}|	dd | j                  f   |	d| j                  d f   }}|
dd | j                  f   |
d| j                  d f   }}t        ||||      \  }}t        j                  ||fd      }	t        j                  ||fd      }
|'|||d}|j                  |
|| j                  |      \  }
}t         }| j"                  j$                  dk7  rt&        | j"                  j$                     } || |	|
||f| j(                  sdn| j*                  | j,                  d	|\  }} |j.                  g |d j1                         }| j3                  |      }||fS )
Nr   r   .)dim)sincosrH   eagerg        )dropoutscaling)shaper+   r,   view	transposer.   r/   r5   r8   r9   r4   r   torchcatupdater   r   r   _attn_implementationr   trainingattention_dropoutrQ   reshape
contiguousr0   )r;   rE   rF   rG   r@   rH   kwargsinput_shapehidden_shapequery_states
key_statesvalue_statesrN   rM   	query_rot
query_passkey_rotkey_passcache_kwargsattention_interfaceattn_outputattn_weightss                         r=   forwardzPhiAttention.forward6   so    $))#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++L9L))*5J&S 1 1 1112d//112 	
 s/d////0sD--//0 
 2)Wc3O	7 yy)Z!8bAYY2;
&#&snUL'6'='=j,X\XfXfht'u$J(?;;++w6"9$++:Z:Z"[$7	%
  $}}C$2H2HLL	%
 	%
!\ *k));;;;FFHjj-L((r>   )NN)__name__
__module____qualname__r   r2   r&   r   rU   Tensortupler   r   
LongTensorrk   __classcell__r<   s   @r=   r   r   $   s    y S " %0A6R ,059;)||;) #5<<#=>;) !.	;)
 "%;) !!1!12;) 
u||Xell33	4;) S;)r>   r   c                       e Zd Zy)PhiMLPNrl   rm   rn    r>   r=   ru   ru   u       r>   ru   c                       e Zd Zdedef fdZ eddd      	 	 	 	 	 	 	 ddej                  d	e	ej                     d
e	ej                     de	eej                        de	e   de	e   de	ej                     de	eej                  ej                  f      deej                  e	eej                  ej                  f      f   fd       Z xZS )PhiDecoderLayerr   r   c                    t         |           t        ||      | _        t	        |      | _        t        j                  |j                  |j                        | _
        t        j                  |j                        | _        y )N)r   r#   )r%   r&   r   	self_attnru   mlpr'   r6   r)   r7   input_layernormDropoutresid_pdropresid_dropoutr:   s      r=   r&   zPhiDecoderLayer.__init__z   s]    %f	B&>!||F,>,>FDYDYZZZ(:(:;r>   r?   r@   rA   rB   rE   rG   position_idsoutput_attentions	use_cacherH   rF   rI   c	                     |}
| j                  |      } | j                  d||||||||d|	\  }}| j                  |      }| j                  | j                  |            }||z   |
z   }|f}|r||fz  }|S )N)rE   rG   r   r@   r   r   rH   rF   rw   )r   r}   r   r~   )r;   rE   rG   r   r@   r   r   rH   rF   r]   residualattn_outputsself_attn_weightsfeed_forward_hidden_statesoutputss                  r=   rk   zPhiDecoderLayer.forward   s     !,,]; +9$.. 
+
')%+/) 3
+
 
+
'' )),7%)%7%78O%P"$'AAHL ")++Gr>   )NNNFFNN)rl   rm   rn   r   r2   r&   r   rU   ro   r   rq   rp   boolFloatTensorrk   rr   rs   s   @r=   rz   rz   y   s    <y <S < %0A6R 26379=,1$)59KO%||% !.% u//0	%
 "%"56% $D>% D>% !!1!12% &eELL%,,,F&GH% 
u  (51B1BEDUDU1U+V"WW	X% S%r>   rz   c                       e Zd Zy)PhiRotaryEmbeddingNrv   rw   r>   r=   r   r      rx   r>   r   c                       e Zd Zdef fdZ	 	 	 	 	 	 	 	 	 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 )PhiModelr   c           	      d   t         |   |       t        j                  t	        |j
                        D cg c]  }t        ||       c}      | _        t        j                  |j                        | _
        t        j                  |j                  |j                        | _        | `y c c}w )Nr|   )r%   r&   r'   
ModuleListrangenum_hidden_layersrz   layersr   
embd_pdropembed_dropoutr6   r)   r7   final_layernormnormr:   s      r=   r&   zPhiModel.__init__   s     mmAFvG_G_A`aI_VY/a
  ZZ(9(9:!||F,>,>FDYDYZI	 bs   B-	input_idsrG   r   r@   inputs_embedsr   r   output_hidden_statesrH   r]   rI   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|t        | j                         }|	F||j                         nd}t        j                  |||j                  d   z   |j                        }	||	j!                  d      }t#        | j                   |||	||      }| j%                  |      }|}| j'                  ||      }|rd	nd }|rd	nd }| j(                  d | j                   j*                   D ],  }|r||fz  } ||f||||||	|d
|
}|d   }|s$||d   fz  }. | j-                  |      }|r||fz  }t/        ||r|nd ||      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`.F)r   r   r   )device)r   input_embedsrG   rH   r@   r   rw   )rG   r   r@   r   r   rH   rF   )last_hidden_stater@   rE   
attentions)r   r   r   r   
ValueErrorgradient_checkpointingrY   loggerwarning_onceembed_tokensr   get_seq_lengthrU   arangerR   r   	unsqueezer   r   
rotary_embr   r   r   r
   )r;   r   rG   r   r@   r   r   r   r   rH   r]   past_seen_tokenscausal_maskrE   rF   all_hidden_statesall_self_attnsdecoder_layerlayer_outputss                      r=   rk   zPhiModel.forward   sP    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(;;&))+%
 **=9% #oom\J #7BD0d![[)H4;;+H+HI 	6M#!m%55!)
*) /"3#-$7
 
M *!,M =#3"55'	6* ,,];  -!11&+/8Od+%	
 	
r>   )	NNNNNNNNN)rl   rm   rn   r   r&   r   rU   rq   ro   r   r   r   r   r   r
   rk   rr   rs   s   @r=   r   r      s    y  151537+/59$(,0/359^
E,,-^
 !.^
 u//0	^

 "%^
   1 12^
 D>^
 $D>^
 'tn^
 !!1!12^
 +,^
 
!^
r>   r   c                        e Zd Z fdZ xZS )PhiForCausalLMc                     t         |   |       t        j                  |j                  |j
                  d      | _        y )NTr!   )r%   r&   r'   r(   r)   
vocab_sizelm_head)r;   r   r<   s     r=   r&   zPhiForCausalLM.__init__  s0     yy!3!3V5F5FTRr>   )rl   rm   rn   r&   rr   rs   s   @r=   r   r     s    S Sr>   r   c                       e Zd Zy)PhiForSequenceClassificationNrv   rw   r>   r=   r   r     rx   r>   r   c                       e Zd Zy)PhiForTokenClassificationNrv   rw   r>   r=   r   r   #  rx   r>   r   )PhiPreTrainedModelr   r   r   r   )3typingr   r   rU   torch.nnr'   cache_utilsr   r   masking_utilsr   modeling_layersr	   modeling_outputsr
   modeling_utilsr   processing_utilsr   utilsr   r   utils.deprecationr   clip.modeling_clipr   llama.modeling_llamar   r   r   r   r   r   r   r   configuration_phir   
get_loggerrl   r   _CHECKPOINT_FOR_DOC_CONFIG_FOR_DOCr   ru   rz   r   r   r   r   r   __all__rw   r>   r=   <module>r      s    %   . / 9 6 & 0 0 (	 	 	 ) 
		H	%' N)> N)b	W 	.0 .b	- 	h
z h
VS% S	#A 		 ; 	r>   