o
    h$                     @  sD  d dl mZ d dlZd dlmZ d dlmZ d dlmZ d dl	m
Z
 d dlmZ d dlmZmZmZmZmZmZmZmZmZmZ d d	lmZ erNd d
lmZ dDddZdDddZdDddZdEddZdEddZ dFd d!Z!dGd&d'Z"dHd+d,Z#dId-d.Z$dJd1d2Z%dKd6d7Z&dLd8d9Z'dKd:d;Z(ed<d=G d>d? d?Z)dMdBdCZ*dS )N    )annotationsN)	dataclass)TYPE_CHECKING)	translate)DispatcherSignature)method_with_native_function)
ArgumentBaseTyBaseTypeFunctionSchemaListTypeNativeFunctionOptionalTypeReturn
SchemaKindType)mapMaybe)Sequencetypr   returnboolc                 C  s   t | to
| jtjkS N)
isinstancer
   namer	   Tensorr    r   n/var/www/html/construction_image-detection-poc/venv/lib/python3.10/site-packages/torchgen/gen_vmap_plumbing.py	is_tensor      r   c                 C     t | to	t| jS r   )r   r   r   elemr   r   r   r   is_optional_tensor!      r"   c                 C  r    r   )r   r   r   r!   r   r   r   r   is_tensor_list%   r#   r$   r   strcur_level_var	list[str]c              	   C  s.   d|  d|  d|  d| d	}t |dS )Nz
    auto [_value, z_bdim] = unwrapTensorAtLevel(, );
textwrapdedentsplitr   r&   resultr   r   r   unwrap_tensor)   s   r2   c                 C  s@   d|  d|  d|  d|  d|  d|  d| d}t |d	S )
Nz    std::optional<Tensor> z#_value;
    std::optional<int64_t> z_bdim;
    if (z) {
        std::tie(r(   z_bdim) = unwrapTensorAtLevel(z
.value(), z);
    }r+   r,   r0   r   r   r   unwrap_optional_tensor/   s    r3   flat_argumentsSequence[Argument]tuple[str, list[str]]c                 C  s   dd | D }dd | D }dd t ||D }dd t ||D }g }|D ]	}|t||7 }q&|D ]	}|t||7 }q2d|}	g }
|D ]}||v sO||v r\|
| d| dg7 }
qE|
| qE|	|
fS )	Nc                 S     g | ]}|j qS r   r   .0ar   r   r   
<listcomp><       zgen_unwraps.<locals>.<listcomp>c                 S  r7   r   )typer9   r   r   r   r<   =   r=   c                 S     g | ]
\}}t |r|qS r   )r   r:   r   r   r   r   r   r<   ?   s    c                 S  r?   r   )r"   r@   r   r   r   r<   @   s
    r+   _value_bdim)zipr2   r3   joinappend)r4   r&   	arg_names	arg_typestensorsoptional_tensorsunwrapstensor
opt_tensorunwrap_codeunwrapped_arg_listargr   r   r   gen_unwraps9   s$   
rP   	outer_sigr   schemar   c                 C  s   g }|j j}|D ]}|j sq|d|j d| d qt|}ddd t	|   |  D }dd| d|j
j  d	| d
S )Nz!isBatchedAtLevel(r)   )c                 s  s    | ]}|j V  qd S r   )expr)r:   er   r   r   	<genexpr>`   s    
z4gen_case_where_all_bdims_are_none.<locals>.<genexpr>zif (z && z) {
  return at::_ops::z::call();
})	argumentsflat_allr>   is_tensor_likerE   r   r   from_schemarD   r   funcunambiguous_name)rQ   rR   r&   
conditions	flat_argsrO   sigtranslated_argsr   r   r   !gen_case_where_all_bdims_are_noneU   s"   



rb   returnstuple[Return, ...]results_varc                 C  s   d}g }| D ]T}t |jr)|d| d| d|d  d| d| d |d7 }qt|jrJ|d	| d| d|d  d| d| d |d7 }q|d
| d| d |d7 }qt|dkrkd|d  d}|S dd| d}|S )Nr   zmakeBatched(std::get<z>(z), std::get<   z), rS      zmakeBatchedVector(std::get<z	std::get<zreturn ;zreturn std::make_tuple(r)   r*   )r   r>   rE   r$   lenrD   )rc   r&   re   idxwrapped_returnsretr1   r   r   r   gen_returnsi   s(   
&

&

rm   c                 C  s   t dd | jjD S )Nc                 s      | ]}|j  V  qd S r   r>   rZ   r9   r   r   r   rV          z4accepts_at_least_one_tensor_input.<locals>.<genexpr>)anyrX   rY   )rR   r   r   r   !accepts_at_least_one_tensor_input   r   rr   argumentr   c                 C  s   | j d uo| j jS r   )
annotationis_write)rs   r   r   r   is_mutated_arg   s   rv   native_functionr   
str | Nonec                 C  s
  | j }t|}|j}| tjksJ t|jj	d sd S t
dd |jj	D dks-d S t
|dkr5d S tdd |D s@d S t|sFd S d}t|jj	|\}}t|||}d|j|j d	 d
 d| dt|d dt|d dd| d|jj	d j dS )Nr   c                 S  s   g | ]}t |r|qS r   )rv   )r:   rO   r   r   r   r<      s    z-gen_vmap_inplace_plumbing.<locals>.<listcomp>rf   c                 s  s$    | ]}t |jpt|jV  qd S r   )r   r>   r$   r:   rl   r   r   r   rV      s   " z,gen_vmap_inplace_plumbing.<locals>.<genexpr>	cur_level:template <typename batch_rule_t, batch_rule_t batch_rule>
_generated_plumbingr8   z {
  c10::impl::ExcludeDispatchKeyGuard guard(DispatchKey::FuncTorchBatched);
  auto maybe_layer = maybeCurrentDynamicLayer();
  vmap_check_escaped(maybe_layer, "gen_vmap_inplace_plumbing");
  int64_t  = maybe_layer->layerId();
  r+   
  batch_rule(r)   z);
  return z;
})r\   r   r[   rc   kindr   inplacerv   rX   rY   ri   allrr   rP   rb   declr   r]   r-   indentrD   )rw   rR   r`   rc   r&   rJ   rN   bdims_all_none_caser   r   r   gen_vmap_inplace_plumbing   s<   


	
r   c                 C  s~   | j }t|}d}t|jj|\}}t|||}d|j|j	 d d d| dt
|d dt
|d d	d
| dS )Nrz   r{   r|   r8   z {
  c10::impl::ExcludeDispatchKeyGuard guard(DispatchKey::FuncTorchBatched);
  auto maybe_layer = maybeCurrentDynamicLayer();
  vmap_check_escaped(maybe_layer, "gen_vmap_plumbing_no_returns");
  int64_t r}   r~   r+   r   r)   rW   )r\   r   r[   rP   rX   rY   rb   r   r   r]   r-   r   rD   )rw   rR   r`   r&   rJ   rN   r   r   r   r   gen_vmap_plumbing_no_returns   s    


	r   c                 C  s"  | j }t|}|j}t|sd S t|dkrt| S ddg}tdd |D s1|j	 |vr1d S d| j
v r8d S | tjkrCt| S | tjkrLd S d}d}t|jj|\}}t|||}	t|||}
d	|j|j	 d
 d d| dt|	d dt|d d| dd| d|
 dS )Nr   #_scaled_dot_product_flash_attention#_scaled_dot_product_cudnn_attentionc                 s  rn   r   ro   ry   r   r   r   rV      rp   z$gen_vmap_plumbing.<locals>.<genexpr>inplace_viewresultsrz   r{   r|   r8   z {
  c10::impl::ExcludeDispatchKeyGuard guard(DispatchKey::FuncTorchBatched);
  auto maybe_layer = maybeCurrentDynamicLayer();
  vmap_check_escaped(maybe_layer, "gen_vmap_plumbing");
  int64_t r}   r~   r+   z
  auto z = batch_rule(r)   z);
  z
})r\   r   r[   rc   rr   ri   r   r   r   r]   tagsr   r   r   r   
functionalrP   rX   rY   rb   rm   r   r-   r   rD   )rw   rR   r`   rc   return_symint_overridesre   r&   rJ   rN   r   rk   r   r   r   gen_vmap_plumbing   sP   



		
r   T)frozenc                   @  s   e Zd ZedddZdS )	ComputeBatchRulePlumbingfr   r   rx   c                 C  s   t |}|S r   )r   )selfr   r1   r   r   r   __call__  s   z!ComputeBatchRulePlumbing.__call__N)r   r   r   rx   )__name__
__module____qualname__r   r   r   r   r   r   r      s    r   native_functionsSequence[NativeFunction]c                 C  s"   d ttt | }d| dS )Nr+   z|
#pragma once
#include <ATen/Operators.h>
#include <ATen/functorch/PlumbingHelper.h>

namespace at { namespace functorch {

z 

}} // namespace at::functorch
)rD   listr   r   )r   bodyr   r   r   gen_all_vmap_plumbing  s   r   )r   r   r   r   )r   r%   r&   r%   r   r'   )r4   r5   r&   r%   r   r6   )rQ   r   rR   r   r&   r%   r   r%   )rc   rd   r&   r%   re   r%   r   r%   )rR   r   r   r   )rs   r   r   r   )rw   r   r   rx   )rw   r   r   r%   )r   r   r   r%   )+
__future__r   r-   dataclassesr   typingr   torchgen.api.translater   torchgen.api.typesr   torchgen.contextr   torchgen.modelr   r	   r
   r   r   r   r   r   r   r   torchgen.utilsr   collections.abcr   r   r"   r$   r2   r3   rP   rb   rm   rr   rv   r   r   r   r   r   r   r   r   r   <module>   s6    0












,
3