
    ?Ki                     *   S SK Jr  S SKrS\R                  S\S\R                  4S jr  SS\R                  R                  S\R                  S	\R                  S
\R                  S\\R                     S\S\\   S\	\R                  S4   4S jjr
g)    )OptionalNhidden_statesn_repreturnc                     U R                   u  p#pEUS:X  a  U $ U SS2SS2SSS2SS24   R                  X#XU5      n U R                  X#U-  XE5      $ )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)
   N)shapeexpandreshape)r   r   batchnum_key_value_headsslenhead_dims         f/var/www/html/dynamic-report/venv/lib/python3.13/site-packages/transformers/integrations/sdpa_paged.py	repeat_kvr      s_    
 2?1D1D.Ez!!Qa"23::5W\dlmM  e(CTTT    modulequerykeyvalueattention_maskdropoutscalingc           
      l   UR                  SS 5      nUbb  UR                  " X#U R                  40 UD6u  p#UR                  SS5      R	                  S5      nUR                  SS5      R	                  S5      n[        U S5      (       a*  [        X R                  5      n[        X0R                  5      nUn	UR                  5       nUR                  5       nUR                  5       n[        R                  R                  R                  UUUU	UUSS9n
U
R                  SS5      R                  5       n
U
S 4$ )Ncacher   r   num_key_value_groupsF)	attn_mask	dropout_pscale	is_causal   )popupdate	layer_idx	transpose	unsqueezehasattrr   r   
contiguoustorchnn
functionalscaled_dot_product_attention)r   r   r   r   r   r   r   kwargsr   causal_maskattn_outputs              r   sdpa_attention_paged_forwardr0      s+    JJw%E\\#f.>.>I&I
mmAq!++A.1%//2 v-..889%!<!<= !K E
..
CE((%%BB C 	K ''1-88:Kr   )g        N)typingr   r)   Tensorintr   r*   Modulefloattupler0    r   r   <module>r8      s     	UU\\ 	U# 	U%,, 	U$ #*HHOO*<<* 
* <<	*
 U\\** * e_* 5<<*r   