o
    #iZA                     @   s  d dl Z d dlZd dlZd dlmZmZmZ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gZzd dlZd	ZW n eyN   d
ZY nw ddddddZg dZddddZerqed
dG dd dZdS esed
dG dd dZdS dS )    N)AnyDictOptionalTYPE_CHECKING)_get_qualified_name_format_arg)_parse_stack_trace)TensorMetadata)compatibility)chainFxGraphDrawerTFz"AliceBlue"LemonChiffon1Yellow2	LightGrey
PowderBlue)placeholdercall_module	get_paramget_attroutput)
CadetBlue1CoralDarkOliveGreen1DarkSeaGreen1
GhostWhiteKhaki1LavenderBlush1LightSkyBlue
MistyRose1
MistyRose2PaleTurquoise2
PeachPuff1SalmonThistle1Thistle3Wheat1r"   "filled,rounded"#000000)	fillcolorstyle	fontcolor)is_backward_compatiblec                   @   s  e Zd ZdZ					d1dejjdededed	ed
ede	e fddZ
d2dejfddZdejfddZdejfddZdeeejf fddZdejjdeeef fddZdejjdejjdejjfddZdedefddZ	 d3d!ed"efd#d$Zdejjdejjd	ed
edef
d%d&Zdefd'd(Zd)edefd*d+Zd,ejdefd-d.Z dejjdededed	ed
edejfd/d0Z!dS )4r   z
        Visualize a torch.fx.Graph with graphviz
        Basic usage:
            g = FxGraphDrawer(symbolic_traced, "resnet18")
            g.get_dot_graph().write_svg("a.svg")
        FTNgraph_modulenameignore_getattrignore_parameters_and_buffersskip_node_names_in_argsparse_stack_tracedot_graph_shapec           
   	   C   s   || _ |d ur	|nd| _| jtd< || ||||||i| _|jjD ]/}|jdkr*q"| ||}	t	|	t
jjs8q"| |	| d|j ||||| j| d|j < q"d S )Nrecordshaper   _)_namer2   _WEIGHT_TEMPLATE_to_dot_dot_graphsgraphnodesop_get_leaf_node
isinstancetorchfxGraphModuletarget)
selfr,   r-   r.   r/   r0   r1   r2   node	leaf_node rF   Z/home/ubuntu/SoloSpeech/.venv/lib/python3.10/site-packages/torch/fx/passes/graph_drawer.py__init__?   s.   


FxGraphDrawer.__init__returnc                 C   s   |du r|   S | |S )a9  
            Visualize a torch.fx.Graph with graphviz
            Example:
                >>> # xdoctest: +REQUIRES(module:pydot)
                >>> # xdoctest: +REQUIRES(module:ubelt)
                >>> # define module
                >>> class MyModule(torch.nn.Module):
                >>>     def __init__(self):
                >>>         super().__init__()
                >>>         self.linear = torch.nn.Linear(4, 5)
                >>>     def forward(self, x):
                >>>         return self.linear(x).clamp(min=0.0, max=1.0)
                >>> module = MyModule()
                >>> # trace the module
                >>> symbolic_traced = torch.fx.symbolic_trace(module)
                >>> # setup output file
                >>> import ubelt as ub
                >>> dpath = ub.Path.appdir('torch/tests/FxGraphDrawer').ensuredir()
                >>> fpath = dpath / 'linear.svg'
                >>> # draw the graph
                >>> g = FxGraphDrawer(symbolic_traced, "linear")
                >>> g.get_dot_graph().write_svg(fpath)
            N)get_main_dot_graphget_submod_dot_graphrC   submod_namerF   rF   rG   get_dot_graphh   s   
zFxGraphDrawer.get_dot_graphc                 C   s   | j | j S Nr9   r6   rC   rF   rF   rG   rK      s   z FxGraphDrawer.get_main_dot_graphc                 C   s   | j | j d|  S )Nr5   rQ   rM   rF   rF   rG   rL      s   z"FxGraphDrawer.get_submod_dot_graphc                 C   s   | j S rP   )r9   rR   rF   rF   rG   get_all_dot_graphs   s   z FxGraphDrawer.get_all_dot_graphsrD   c                 C   sp   | j dddd}|jtv rt|j |d< |S ||j}tt| 	 d d d}t
|tt
  |d< |S )Nz#CAFFE3r&   r'   )r4   r(   r)   r*   r(         )r2   r<   
_COLOR_MAP_pretty_print_targetrB   inthashlibmd5encode	hexdigest_HASH_COLOR_MAPlen)rC   rD   templatetarget_nametarget_hashrF   rF   rG   _get_node_style   s   
 zFxGraphDrawer._get_node_stylemodulec                 C   sZ   |}t |jts
J |jd}|D ]}t||s%tt|d | d t||}q|S )N.z does not have attribute !)r>   rB   strsplithasattrRuntimeErrorgetattr)rC   rc   rD   py_objatomsatomrF   rF   rG   r=      s   
zFxGraphDrawer._get_leaf_noderB   c                 C   sF   t |tjjrt|}nt |tr|}nt|}|ddddS )N{\{}\})r>   r?   nnModuletypenamerf   r   replace)rC   rB   retrF   rF   rG   	_typename   s   
zFxGraphDrawer._typename   full_file_nametruncate_to_last_nc                 C   s.   | d}t||krd|| d  S |S )N/)rg   r^   join)rC   ry   rz   splitsrF   rF   rG   _shorten_file_name   s   
z FxGraphDrawer._shorten_file_namec                    s  fdd}dd|j  d|j d }|jdkrD| || |d|   d	 7 }d
}t dr=d fdd jD }||d 7 }n5|d| |j d 7 }t|j	dkr_|||j	7 }t|j
dkrm|||j
7 }|dt|j d 7 }|jd}|| |7 }|jdd }	|	d ur|d|	j  d 7 }|d|	j d 7 }|r|jd urt|j}
| |
j}|d| d|
j d|
j d 7 }|d S )Nc                    s   t | trd\}}dd | D }nt | tr$d\}}dd |  D }ndS  r/dd |D }t|dkr7dS |d	| | }t|d
krP|dddd}|ddddS )N)z	|args=(\lz,\n)\lc                 S   s   g | ]}t |d dqS )rT   max_list_lenr   .0arF   rF   rG   
<listcomp>       zSFxGraphDrawer._get_node_label.<locals>._get_str_for_args_kwargs.<locals>.<listcomp>)z|kwargs={\lz,\n}\lc                 S   s&   g | ]\}}| d t |dd qS ): rT   r   r   )r   kvrF   rF   rG   r      s     c                 S   s   g | ]}d |vr|qS )%rF   r   rF   rF   rG   r      r   r   z,\n   z\l\nrn   ro   rp   rq   )r>   tupledictitemsr^   r|   ru   )argprefixsuffixarg_strs_listarg_strs)r0   rF   rG   _get_str_for_args_kwargs   s"   

z?FxGraphDrawer._get_node_label.<locals>._get_str_for_args_kwargsrn   zname=%z	|op_code=
r   r   z\n|r   __constants__c                    s    g | ]}| d t  | qS )r   )rj   )r   c)leaf_modulerF   rG   r      s     z1FxGraphDrawer._get_node_label.<locals>.<listcomp>z|target=r   z|num_users=tensor_metabuf_metaz|buf=z
|n_origin=z|file=: rp   )r-   r<   r=   rw   rh   r|   r   rB   r^   argskwargsusersmetaget_tensor_meta_to_labeln_originstack_tracer   r~   filelinenocode)rC   rc   rD   r0   r1   r   labelextrar   r   parsed_stack_tracefnamerF   )r   r0   rG   _get_node_label   s8   


"zFxGraphDrawer._get_node_labelc                 C   s   |d u rdS t |tr| |S t |tr%d}|D ]	}|| |7 }q|S t |tr<d}| D ]	}|| |7 }q0|S t |trQd}|D ]	}|| |7 }qE|S tdt	| )Nr   zUnsupported tensor meta type )
r>   r	   _stringify_tensor_metalistr   r   valuesr   ri   type)rC   tmresultitemr   rF   rF   rG   r     s(   




z#FxGraphDrawer._tensor_meta_to_labelr   c                 C   sv  d}t |dstd| |dt|j d 7 }|dtt|j d 7 }|dt|j d 7 }|dt|j d 7 }|jr|j	d usDJ d	|j	v sKJ |j	d	 }|t
jt
jhv rs|d
t|j	d  d 7 }|dt|j	d  d 7 }n9|t
jt
jt
jhv r|dt|j	d  d 7 }|dt|j	d  d 7 }|dt|j	d  d 7 }ntd| |dt|j	d	  d 7 }|S )Nr   dtyper   z|dtype=r   z|shape=z|requires_grad=z|stride=qschemez	|q_scale=scalez|q_zero_point=
zero_pointz|q_per_channel_scale=z|q_per_channel_zero_point=z|q_per_channel_axis=axiszUnsupported qscheme: z	|qscheme=)rh   printrf   r   r   r4   requires_gradstrideis_quantizedqparamsr?   per_tensor_affineper_tensor_symmetricper_channel_affineper_channel_symmetric per_channel_affine_float_qparamsri   )rC   r   r   r   rF   rF   rG   r   %  s8   


z$FxGraphDrawer._stringify_tensor_metatc                 C   s   t |jt t|j d S )Nr   )rf   r   r   r4   )rC   r   rF   rF   rG   _get_tensor_labelD  s   zFxGraphDrawer._get_tensor_labelc              
      sj  t j|dd i }|jjD ]m|rjdkrq}t jjfd|||i|}	 }
j	
dd}|durU|jdkrU|j}||vrPt j||d||< |
|}
|
|	  fd	d
}jdkrz||szttjjsz|  q| D ]}|dd |dd  | q|jjD ]|rjdkrqjD ]} t j|j qq S )a  
            Actual interface to visualize a fx.Graph. Note that it takes in the GraphModule instead of the Graph.
            If ignore_parameters_and_buffers is True, the parameters and buffers
            created with the module will not be added as nodes and edges.
            TB)rankdirr   r   r   Nr   )r   c                     s   t   D ]=\} }jd |  }t|tjjr!|d d nd}tj	|fdd| 
| d it} |  t|j q	d S )Nrd   z|op_code=get_	parameterzbuffer\lr   rn   rp   )r   named_parametersnamed_buffersr-   r>   r?   rr   	ParameterpydotNoder   r7   add_nodeadd_edgeEdge)pnameptensorpname1label1
dot_w_node	dot_graphr   rD   rC   rF   rG   get_module_params_or_buffersr  s$   
z;FxGraphDrawer._to_dot.<locals>.get_module_params_or_buffersr   color	royalbluepenwidth2)r   Dotr:   r;   r<   rb   r   r-   r   r   r   r   Clusterr   r=   r>   r?   r@   rA   r   setadd_subgraphr   r   r   )rC   r,   r-   r.   r/   r0   r1   buf_name_to_subgraphr)   dot_nodecurrent_graphr   buf_namer   subgraphuserrF   r   rG   r8   I  sL   




zFxGraphDrawer._to_dotFFTFNrP   )rx   )"__name__
__module____qualname____doc__r?   r@   rA   rf   boolr   rH   r   r   rO   rK   rL   r   rS   r   rb   rr   rs   r=   r   rw   rX   r~   r   r   r	   r   Tensorr   r8   rF   rF   rF   rG   r   6   s    
)


Fc                   @   sF   e Zd Z					ddejjdedededed	ed
ee fddZ	dS )r   FTNr,   r-   r.   r/   r0   r1   r2   c                 C   s   t d)Nz|FXGraphDrawer requires the pydot package to be installed. Please install pydot through your favorite Python package manager.)ri   )rC   r,   r-   r.   r/   r0   r1   r2   rF   rF   rG   rH     s   
rI   r   )
r   r   r   r?   r@   rA   rf   r   r   rH   rF   rF   rF   rG   r     s*    )rY   r?   torch.fxtypingr   r   r   r   torch.fx.noder   r   torch.fx.graphr   torch.fx.passes.shape_propr	   torch.fx._compatibilityr
   	itertoolsr   __all__r   	HAS_PYDOTImportErrorrV   r]   r7   r   rF   rF   rF   rG   <module>   sH     d