
    [Th|                     ^   S SK JrJrJr  S SKrS SKJr  S SKJr  S SK	J
r
  S SKJrJrJr  S SKJr  / SQr\" S	S
9S\
S\S\S\S\4
S j5       r\" S	S
9 " S S\5      5       r\" S	S
9 SS\
S\\\R,                        SS4S jj5       r\" S	S
9S\S\4S j5       r\" S	S
9S\
S\S\4S j5       rg)    )Any
NamedTupleOptionalN)compatibility)Graph)GraphModule)map_argNodeTarget)	ShapeProp)replace_target_nodes_with
size_bytesget_size_of_all_nodesget_tensor_metaget_size_of_nodeF)is_backward_compatible	fx_moduleold_op
old_targetnew_op
new_targetc                   ^	 [        5       n0 m	U R                  R                   H  nUR                  U:X  a  UR                  U:X  a  [        UR                  U	4S j5      n[        UR                  U	4S j5      n[        U[        5      (       d   e[        U[        5      (       d   eUR                  X4XxUR                  5      T	U'   M  UR                  UU	4S j5      T	U'   M     XPl        g)zModifies all nodes in fx_module.graph.nodes which match the specified op code and target,
and updates them to match the new op code and targetc                    > TU    $ N nval_maps    Z/var/www/auris/envauris/lib/python3.13/site-packages/torch/fx/passes/graph_manipulation.py<lambda>+replace_target_nodes_with.<locals>.<lambda>#   s	    
    c                    > TU    $ r   r   r   s    r   r    r!   $   s	    GAJr"   c                    > TU    $ r   r   r   s    r   r    r!   +   s	    
r"   N)r   graphnodesoptargetr	   argskwargs
isinstancetupledictcreate_nodename	node_copy)
r   r   r   r   r   	new_graphnoder)   r*   r   s
            @r   r   r      s     I "G%%77f
!:499&:;DT[[*>?FdE****fd++++%11D$))GDM &//6JKGDM &  Or"   c                   *    \ rS rSr% \\S'   \\S'   Srg)r   /   output_size
total_sizer   N)__name__
__module____qualname____firstlineno__int__annotations____static_attributes__r   r"   r   r   r   /   s    Or"   r   r)   returnc                     Ub  [        U 5      R                  " U6   U R                  R                   H%  nUR                  S:X  a    g[        X5      Ul        M'     g)zGiven a fx graph module, update each node with its total size (weights + bias + output)
and its output_size(output). For a non-module node, the total size is the output size.
return total sizeNoutput)r   	propagater%   r&   r'   r   r   )r   r)   r2   s      r   r   r   5   sV     )&&-%%77h
 +9; & r"   r2   c                 h    U R                   R                  S5      nU(       d  [        SU  S35      eU$ )Ntensor_metazNode zQ has no tensor metadata associated with it! Check that shape propagation has run.)metagetRuntimeError)r2   rC   s     r   r   r   G   s=    ))--.KD6 4 5
 	

 r"   c                    SnUR                   S:X  aT  [        U R                  5       5      nX1R                     nUR	                  5       nU H  u  pgX'R                  5       -  nM     [        U5      nUR                  R                  5       n	X)-  nUR                  (       a.  [        R                  " / UR                  S9R                  5       n
O-[        R                  " / UR                  S9R                  5       n
X-  nX-  n[        X5      $ )zGiven a node with node.dtype and node.shape, return its total size and its output size.
total_size = weights + bias + output_size
r   call_module)dtype)r'   r-   named_modulesr(   named_parametersnumelr   shapeis_quantizedtorch_empty_affine_quantizedrI   element_sizetensorr   )r   r2   total_num_of_elemssubmodule_dict	submodule
parameters_nameprC   output_elemsize_per_elem_bytesr6   r5   s                r   r   r   T   s     ww-i5578";;/	//1
"HE'')+ # "$'K##))+K%#;;k''

,. 	 $ll2[5F5FGTTV$9J%3Kk..r"   r   )typingr   r   r   rO   torch.fx._compatibilityr   torch.fx.graphr   torch.fx.graph_moduler   torch.fx.noder	   r
   r   torch.fx.passes.shape_propr   __all__strr   r   listTensorr   r   r   r   r"   r   <module>re      s%   , ,  1   - / / 0 e,      	 
   - 2 e,  -
 e,AE"*4+=">	 -" e,	$ 	3 	 -	 e,/ /4 /J / -/r"   