U
    yh+                     @   s"  d dl Z d dlmZmZ d dlmZmZmZ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
ddgZedddd	 Zedddd
 ZeddeG dd dZeddddejjfejjee eee	ejj e
ejjeejjeeef f f dddZdS )    N)	dataclassfield)DictListOptionalTupleTypeUnion)compatibility)map_arg)HolderModulelift_subgraph_as_module   )NodeListgetattr_recursivesetattr_recursive	Componentsplit_by_tagsF)Zis_backward_compatiblec                 C   s0   | dD ] }t| |r$t| |} q
 d S q
| S )N.)splithasattrgetattr)objnamelayer r   M/var/www/html/venv/lib/python3.8/site-packages/torch/fx/passes/split_utils.pyr      s
    
c                 C   sH   d|krt | || n.|d}tt| |d d|dd  | d S )Nr   r   r   )setattrr   r   r   join)r   attrvaluer   r   r   r   r      s    
c                   @   s   e Zd ZU dZejjed< eed< e	ed< e
edZeed< e
edZeed< e
edZeed< e
edZeejjejjf ed	< e
edZee	 ed
< dZeejj ed< dS )r   zX
    A component serves as a container for a subgraph we want to create afterwards.
    graphorderr   )default_factoryinput_placeholdersorig_inputsorig_outputsgetattr_mapsconstructor_argsNgm)__name__
__module____qualname____doc__torchfxGraph__annotations__intstrr   listr$   r   r%   r&   dictr'   r   Noder(   r)   r   GraphModuler   r   r   r   r   #   s   
")r)   tagsreturn_fqn_mappingreturn_tupleGraphModuleClsreturnc                    sn  t jjjtddd}i i i }g }i t j }i }	d}
|D ].}tt j t||  |   ||< q@| j	j
D ]}|jdkr|
dk	rtd|}
qx|jdkr|j|j|jd|	|< t|j|	| _qx|jd	krqxt|d
stfdd||j||j D }||j   |< tdd |D dd} j|ksFt fdd} j	||}|j|_||<  |< qx|
dkrtd||
jd D ]2}|jd	kr|j|j|jd|	|< nd|< qD ]"}|jdkr؈| j| qi }|D ] ttj j}|r. j	| n" j	t|dkrJ|d n| t |  j	 jd\ _!}|"| |j# jtt|	j j$dd}t|dkr|s||	 jd < n,t% jD ] \}}t j&|| j|	|< qq|t'|
jd |	j t(dd |D }| j	j)|_)||
jd D ](}|jd	kr(t*||jt+| |j, q(|||}|rj||fS |S )a1  
    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):
            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Z	type_exprget_attrtagc                    s   g | ]}|j d kr | qS )>   rD   rB   )op).0r=   )node_to_componentr   r   
<listcomp>   s   
z!split_by_tags.<locals>.<listcomp>c                 s   s   | ]}|j V  qd S )N)r"   )rG   cr   r   r   	<genexpr>   s     z split_by_tags.<locals>.<genexpr>r   )defaultc                    s   | j dkr8|  jkr. jj| j| jd j| <  j|  S | j dkrV|   krV|  S |  jkr j|   jj| j	| jd}t

| j|_ j| d | <  j j|  S )NrD   rC   rB   )rF   r'   r!   rD   targettyper%   r>   rB   r   copymetar$   index)r=   rB   compZnode_remappingrH   Zused_in_mainr   r   
remap_func   s     

 

z!split_by_tags.<locals>.remap_funczGraph had no output node!r   )ZsubgraphZ	comp_name)argskwargsc                 S   s   i | ]}|j |jqS r   )r   r)   )rG   rS   r   r   r   
<dictcomp>"  s      z!split_by_tags.<locals>.<dictcomp>)-r.   r/   nodeZArgumentr   r0   r   lenr>   r!   ZnodesrF   RuntimeErrorrB   r   rN   rO   rP   r   AssertionErrorrU   rV   rE   maxr"   Z	node_copyrD   r&   tuplemap__getitem__rA   r   r)   updateZcall_moduler%   	enumerateZProxyr   r   Z_codegenr   r   rM   )r)   r8   r9   r:   r;   r@   Ztag_to_componentZall_componentsZmain_gZmain_remappingZoutput_noderE   rX   Zupstream_componentsZmxrT   nr=   Zorig_to_split_fqn_mappingZoutsZcomp_orig_to_split_fqn_mappingZ	main_nodeioZ	main_rootZ	result_gmr   rR   r   r   =   s    A	









"  


)rO   dataclassesr   r   typingr   r   r   r   r   r	   Ztorch.fxr.   Ztorch.fx._compatibilityr
   Ztorch.fx.graphr   Ztorch.fx.passes.utilsr   r   Ztools_commonr   __all__r   r   r   r/   r7   r3   boolr   r   r   r   r   <module>   s6    
	

"