o
    i3                     @   s  d dl 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lmZ d dlmZ dd	 d
fdefddZe jedd	 ddZe jedd	 d
dZeG dd dZeG dd dZG dd dZG dd dZd#ddZdd	 d dfddZdd  Zd!d" ZdS )$    N)deque)	dataclass)DictList)_KinetoEventprofile)
DeviceTypec                 C      | j S N)childrenx r   d/var/www/html/eduruby.in/lip-sync/lip-sync-env/lib/python3.10/site-packages/torch/profiler/_utils.py<lambda>       r   Freversec                 c   sX    |rt ndd }t|| }|r*||}|V  |||D ]}|| q|sd S d S )Nc                 S      | S r   r   r   r   r   r   r          z_traverse.<locals>.<lambda>)reversedr   append)treenext_fnZchildren_fnr   order	remaining
curr_eventchild_eventr   r   r   	_traverse   s   r   c                 C      |   S r   )popr   r   r   r   r          T)r   r   c                 C   r   r   )popleftr   r   r   r   r      r!   c                   @   sJ   e Zd ZU dZeed< dZeed< dZeed< dZeed< e	dd Z
dS )	EventMetricsr   duration_time_nsself_time_nsidle_time_nsqueue_depthc                 C   s   | j dkrdS | j| j  S )Nr   g        )r$   r&   selfr   r   r   fraction_idle_time$   s   
zEventMetrics.fraction_idle_timeN)__name__
__module____qualname__r$   int__annotations__r%   r&   r'   propertyr*   r   r   r   r   r#      s   
 r#   c                   @   s*   e Zd ZU eed< eed< dZeed< dS )Intervalstartendr   r'   N)r+   r,   r-   r.   r/   r'   r   r   r   r   r1   +   s   
 r1   c                   @   s>   e Zd Zdd Zdd Zdd Zdd Zd	ee fd
dZ	dS )EventKeyc                 C   s
   || _ d S r   event)r)   r6   r   r   r   __init__3      
zEventKey.__init__c                 C   s   t | jjS r   )hashr6   idr(   r   r   r   __hash__6   s   zEventKey.__hash__c                 C   s   | j j|j jkS r   )r6   r:   )r)   otherr   r   r   __eq__9   s   zEventKey.__eq__c                 C   s
   | j j S r   )r6   namer(   r   r   r   __repr__<   r8   zEventKey.__repr__	intervalsc           	      C   s   d}t |dd d}|r*t| jj|d j}t| jj|d j}||k r*||| 7 }d\}}|t|k rw|| }|| }|d7 }|j|jkrW|j|jkrQ|d7 }q.|j|_|}t| jj|j}t| jj|j}||k rq||| 7 }|t|k s4|S )Nr   c                 S   r
   r   r2   r   r   r   r   r   A   r   z,EventKey.intervals_overlap.<locals>.<lambda>key)r      rD   )	sortedmaxr6   start_time_nsr2   minend_time_nsr3   len)	r)   r@   Zoverlap_timeZoverlap_startZoverlap_endijZprev_intervalZcurr_intervalr   r   r   intervals_overlap?   s0   zEventKey.intervals_overlapN)
r+   r,   r-   r7   r;   r=   r?   r   r1   rM   r   r   r   r   r4   2   s    r4   c                   @   sN   e Zd ZdefddZdd Zdd Zdd	 Zd
d Zdde	de
fddZdS )BasicEvaluationprofc                 C   sd   || _ i | _|   tdd | j D dd d| _dd | jD | _g | _|  | _	| 
  d S )Nc                 s   s    | ]}|V  qd S r   r   .0er   r   r   	<genexpr>f   s    z+BasicEvaluation.__init__.<locals>.<genexpr>c                 S   s   | j jS r   )r6   rG   r   r   r   r   r   f   r!   z*BasicEvaluation.__init__.<locals>.<lambda>rB   c                 S      g | ]}|j qS r   r5   rP   r   r   r   
<listcomp>h       z,BasicEvaluation.__init__.<locals>.<listcomp>)r   metricscompute_self_timerE   keysZ
event_keyseventscuda_eventscompute_queue_depthqueue_depth_listcompute_idle_time)r)   rO   r   r   r   r7   a   s   
zBasicEvaluation.__init__c                 C   s   | j jdusJ t| j j }|rS| }|j}|jD ]}||j8 }|| qt|| j	vs<J d|j
 d|j t|d| j	t|< |j| j	t| _|sdS dS )zM
        Computes event's self time(total time - time in child ops).
        NzDuplicate id: z, )r%   )r   kineto_resultsr   Zexperimental_event_treer    r$   r   r   r4   rW   r:   r>   r#   )r)   stackr   	self_timer   r   r   r   rX   m   s$   

z!BasicEvaluation.compute_self_timec                    s  | j jdusJ | j j }dd dd tfdd|D dd	 d
}tfdd|D dd	 d
}t|| dd	 d
| _i }d}|D ] t| fdd	|d}|| < |dur\|n|}qEd}d}|| | j }	dd }
g }|	j|
d
 |	D ]|}t|dr| d }| |	  d }||v r|| dur|| }nt|dr|j
}|j}|t|k r||  d |kr|d7 }|t|k r||  d |ks|| d }t|d}t|dr|t||| qxt|dr|| jt| _qx|S )z
        Computes queue_depth at each event. This will calculate the queue depth data for
        All the events in the tree.
        This will return a list of Interval of queue depth data of cuda launch and kernels.
        Nc                 S   s
   | j dkS )NZcudaLaunchKernel)r>   rR   r   r   r   is_cuda_launch_kernel   s   
zBBasicEvaluation.compute_queue_depth.<locals>.is_cuda_launch_kernelc                 S   s   |   tjkod| j vS )NZmem)Zdevice_typer	   CUDAr>   lowerrb   r   r   r   is_cuda_kernel   s   z;BasicEvaluation.compute_queue_depth.<locals>.is_cuda_kernelc                 3       | ]	} |r|V  qd S r   r   rP   )rc   r   r   rS          z6BasicEvaluation.compute_queue_depth.<locals>.<genexpr>c                 S   r   r   start_usr   r   r   r   r      r!   z5BasicEvaluation.compute_queue_depth.<locals>.<lambda>rB   c                 3   rg   r   r   rP   )rf   r   r   rS      rh   c                 S   r   r   ri   r   r   r   r   r      r!   c                 S   r   r   ri   r   r   r   r   r      r!   r   c                    s   |      kS r   )Zlinked_correlation_idr   )cuda_launch_eventr   r   r      s    rA   c                 S   s.   t | dr|  d S t | dr| jS td)Nrj     rG   zUnknown Event Type)hasattrrj   rG   	Exceptionr5   r   r   r   new_old_event_comparator   s
   

zEBasicEvaluation.compute_queue_depth.<locals>.new_old_event_comparatorrj   rm   rG   rD   )r   r_   rZ   rE   r[   index_of_first_matchsortrn   rj   Zduration_usrG   rI   rJ   rF   r   r1   rW   r4   r'   )r)   Zcuda_event_listZcuda_launch_eventsZcuda_kernel_eventsZkernel_mappingZlast_mapped_kernelindexZcurrent_kernel_indexZspawned_kernel_indexZ
all_eventsrp   r]   r6   
start_timeend_timeZcurrent_queue_depthr   )rk   rf   rc   r   r\      sx   






z#BasicEvaluation.compute_queue_depthc                 C   s   d}d}g }| j r(| jr(|t| jd j| j d jt| j d j| jd jg7 }| j D ] }|jdkr9|s9|j}d}|jdkrK|rK|t||j d}q+dd | j	
 D }|D ]}t||| j	t| _qXdS )z4
        Computes idle time of the profile.
        Fr   rl   Tc                 S   rT   r   r5   rP   r   r   r   rU      rV   z5BasicEvaluation.compute_idle_time.<locals>.<listcomp>N)r]   rZ   r1   rG   r2   r3   rI   r'   r   rW   rY   r4   rM   r&   )r)   idleZ
idle_startZidle_intervalsZ
data_point
event_listr6   r   r   r   r^      s0   
z!BasicEvaluation.compute_idle_timec                    s  ddl }ttj}dd |D }d d}g d}|t|k ru||  kr+|d7 }qt|d t|D ]6}t| fdd|d	}t|||d
}	|	durj||	 |krjt	||	 j
|| j
 |durf|n|} nq4|d7 }|t|k s fddj D }
|
r|jfdd|
D |jd}|jfdd|
D |jd}||| || }||| || }|d|  }dd tt||
dd ddD }
|
d| }
|
S )a  
        Filter and Rank the events based on some heuristics:
        1) Events that are in the falling phase of the queue depth.
        2) Events that have a high idle_time, self_time difference.

        Parameters:
            length: The number of events to return.
        r   Nc                 S   rT   r   )r'   rP   r   r   r   rU     rV   z/BasicEvaluation.rank_events.<locals>.<listcomp>   rD   c                    s   |  kS r   r   r   )bottom_threasholdr   r   r     r!   z-BasicEvaluation.rank_events.<locals>.<lambda>rA   )r2   r3   c                    s   g | ]	}|  r|qS r   )rM   rQ   r6   )decrease_intervalr   r   rU      s    c                       g | ]} j | jqS r   )rW   r%   rz   r(   r   r   rU   '      )Zdtypec                    r|   r   )rW   r*   rz   r(   r   r   rU   +  r}   g333333?c                 S   s   g | ]\}}|qS r   r   )rQ   _r6   r   r   r   rU   3  s    c                 S   s   | d S )Nr   r   r   r   r   r   r   7  r!   T)rC   r   )torchlistr   r]   rJ   rangerq   argmaxr   r1   r2   rW   rY   ZtensorZfloat32meanZstdrE   zip)r)   lengthr   r]   Z	qd_valuesZtop_threasholdrK   rL   Znext_minimum_idxZpeak_idxrw   ra   Z	idle_timeZnormalized_gainZnormalized_selfZheuristic_score_listr   )ry   r{   r)   r   rank_events   sf   
zBasicEvaluation.rank_eventsrD   Tr   print_enablec                    sJ     |}|s	|S |rdnd}|d fdd|D 7 }|r#t| |S )NzOptimizable events:
zNo events to optimize

c                    s@   g | ]}d  d| dt |j d j| jd ddd  	qS )zP--------------------------------------------------------------------------------z
Event:                z
Source code location: z
Percentage idle time: d   z.2fz%
)source_code_locationr6   rW   r*   rz   r(   r   r   rU   E  s    z:BasicEvaluation.get_optimizable_events.<locals>.<listcomp>)r   joinprint)r)   r   r   rw   outputr   r(   r   get_optimizable_events>  s   


z&BasicEvaluation.get_optimizable_eventsN)rD   T)r+   r,   r-   r   r7   rX   r\   r^   r   r.   boolr   r   r   r   r   rN   `   s    VIrN   c                 C   sD   |d u s
|t | krt | }t||D ]}|| | r|  S qd S r   )rJ   r   )seq	predicater2   r3   rK   r   r   r   rq   S  s   rq   c                 C   r   r   r   r   r   r   r   r   \  r   c                 C   s2   | || } t | dkrd S | t| |d| S )Nr   rB   )rJ   rs   rF   )r   rC   r2   r3   r   r   r   r   \  s   r   c                 C   s0   | d urt d| j}|d u r| j} q | jS dS )Nz
\.py\(.*\)zNo source code location found)researchr>   parent)r6   matchr   r   r   r   c  s   r   c                  C   s8   ddl m}  |  	 W d    d S 1 sw   Y  d S )Nr   r   )torch.autograd.profilerr   r   r   r   r   _init_for_cuda_graphsq  s   "r   )r   N)	functoolsr   collectionsr   dataclassesr   typingr   r   Ztorch.autogradr   r   r   Ztorch.profilerr	   r   r   partialZtraverse_dfsZtraverse_bfsr#   r1   r4   rN   rq   r   r   r   r   r   r   r   <module>   s0    

. 
t	