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    i-                     @   s  d dl Z d dlmZmZ d dlmZmZ d dlZd dl	m
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 d dlmZ d dlmZmZ ddlmZ g d	Ze
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ejjfdejjdee dededeejj deejjeejjeeef f f fddZdS )    N)	dataclassfield)OptionalUnion)compatibility)map_arg)HolderModulelift_subgraph_as_module   )NodeList)getattr_recursivesetattr_recursive	Componentsplit_by_tagsF)is_backward_compatiblec                 C   sb   | dD ])}t| tjjr!t| dr|| jv r| j| } q d S t| |r,t| |} q d S | S )N._modules)split
isinstancetorchnn
ModuleListhasattrr   getattr)objnamelayer r   X/home/ubuntu/veenaModal/venv/lib/python3.10/site-packages/torch/fx/passes/split_utils.pyr      s   
r   c                 C   sJ   d|vrt | || d S |d}tt| |d d|dd  | d S )Nr   r   r
   )setattrr   r   r   join)r   attrvaluer   r   r   r   r       s   
(r   c                   @   s   e Zd ZU dZejjed< eed< e	ed< e
edZeed< e
edZeed< e
edZeed< e
edZeejjejjf ed	< e
edZee	 ed
< dZeejj ed< dS )r   zX
    A component serves as a container for a subgraph we want to create afterwards.
    graphorderr   )default_factoryinput_placeholdersorig_inputsorig_outputsgetattr_mapsconstructor_argsNgm)__name__
__module____qualname____doc__r   fxGraph__annotations__intstrr   listr&   r'   r(   dictr)   Noder*   r+   r   GraphModuler   r   r   r   r   )   s   
 "r   r+   tagsreturn_fqn_mappingreturn_tupleGraphModuleClsreturnc                    s  dt jjjdtfdd}i i i }g }i t j }i }	d}
|D ]}tt j t||  |   ||< q!| j	j
D ]}|jdkrO|
durLtd|}
q=|jdkri|j|j|jd	|	|< t|j|	| _q=|jd
kroq=t|ds}J d|  fdd||j||j D }||j   |< tdd |D dd} j|ksJ d j d j d|  fdd} j	||}|j|_||<  |< q=|
du rtd||
jd D ]}|jd
kr|j|j|jd	|	|< qd|< qD ]}|jdkr| j| qi }|D ]q ttj j}|r& j	| n j	t|dkr4|d n| t |  j	 jd\ _!}|"| |j# jtt|	j j$dd}t|dkrk|sk||	 jd < qt% jD ]\}}t j&|| j|	|< qpq|t'|
jd |	j t(dd |D }| j	j)|_)||
jd D ]}|jd
krt*||jt+| |j, q|||}|r||fS |S )a9  
    Splits a GraphModule using tags on its graph nodes. We honor the order of
    tags. For example, we have tags = ["a", "b", "c"], the function will create
    the initial submodules in the order of "a", "b", "c".

    To set a tag:
    gm.graph.nodes[idx].tag = "mytag"

    This will result in all nodes with the same tag being extracted and placed in their
    own submodule. For placeholder, output and get_attr node, the tag is ignored. placeholder
    and output nodes are created when needed while get_attr nodes get copied to submodules
    where they are used.

    Given the following module def:

    class SimpleModule(torch.nn.Module):
        def __init__(self) -> None:
            super().__init__()
            self.linear1 = torch.nn.Linear(...)
            self.linear2 = torch.nn.Linear(...)
            self.linear3 = torch.nn.Linear(...)

        def forward(self, in1, in2):
            r1 = self.linear1(in1)
            r2 = self.linear2(in2)
            r3 = torch.cat([r1, r2])
            return self.linear3(r3)

    Marking the node corresponding to in1 with the tag sc.REQUEST_ONLY.lower() results in the following split:

    ro:
    def forward(self, in1):
        self = self.root
        linear1 = self.linear1(in1)
        return linear1

    main:
    def forward(self, in2, linear1):
        self = self.root
        linear2 = self.linear2(in2)
        cat_1 = torch.cat([linear1, linear2])
        linear3 = self.linear3(cat_1)
        return linear3

    main:
    def forward(self, in1, in2):
        self = self.root
        ro_0 = self.ro_0(in1)
        main_1 = self.main_1(in2, ro_0)
        return main_1

    Returns:
        split_gm: torch fx graph after split
        orig_to_split_fqn_mapping: a map between the original fqn and the fqn
            after split for call_module and get_attr.
    xr=   c                 S   s   g }t | |j |S )zC
        Stores nodes in x to a list and returns the list.
        )r   append)r>   rr   r   r   flatten   s   zsplit_by_tags.<locals>.flattenNoutputzMultiple output nodes in graph!placeholder	type_exprget_attrtagzNode does not have tag: c                    s   g | ]}|j d vr | qS )>   rF   rC   )op).0r>   )node_to_componentr   r   
<listcomp>   s
    
z!split_by_tags.<locals>.<listcomp>c                 s   s    | ]}|j V  qd S )N)r$   )rI   cr   r   r   	<genexpr>   s    z split_by_tags.<locals>.<genexpr>r   )defaultz
Component z8 order must be >= max of its upstream components, order=z	 and max=c                    s   | j dkr&|  jvr! jj| j| jd j| < t| j j|  _ j|  S | j dkr5|   kr5|  S |  jvr[ j	|   jj
| j| jd}t| j|_ j	| d | <  j j|  S )NrF   rD   rC   )rH   r)   r#   rF   targettypecopymetar'   r?   rC   r   r&   index)r>   rC   compnode_remappingrJ   used_in_mainr   r   
remap_func   s    



z!split_by_tags.<locals>.remap_funczGraph had no output node!r
   )subgraph	comp_name)argskwargsc                 S   s   i | ]}|j |jqS r   )r   r+   )rI   rU   r   r   r   
<dictcomp>+  s    z!split_by_tags.<locals>.<dictcomp>)-r   r0   nodeArgumentr   r1   r   lenr?   r#   nodesrH   RuntimeErrorrC   r   rP   rQ   rR   r   format_noder[   r\   rG   maxr$   	node_copyrF   r(   tuplemap__getitem__rB   r	   r+   updatecall_moduler'   	enumerateProxyr   r   _codegenr   r   rO   )r+   r9   r:   r;   r<   rA   tag_to_componentall_componentsmain_gmain_remappingoutput_noderG   r^   upstream_componentsmxrX   nr>   orig_to_split_fqn_mappingoutscomp_orig_to_split_fqn_mapping	main_nodeio	main_root	result_gmr   rT   r   r   C   s   A	










"



r   )rQ   dataclassesr   r   typingr   r   torch.fxr   torch.fx._compatibilityr   torch.fx.graphr   torch.fx.passes.utilsr   r	   tools_commonr   __all__r   r   r   r0   r8   r5   r4   boolrP   rf   r6   r   r   r   r   r   <module>   sB   


"