o
    Ù,Ëh}  ã                   @   s’   U d dl Z d dlmZ d dlZd dlmZ d dlmZmZm	Z	 d dl
mZ daeej ed< e  d¡dd	„ ƒZG d
d„ de	ƒZdd„ Zdd„ ZdS )é    N)ÚOptional)Ú_len_torch_function_stack)Ú	_pop_modeÚ
_push_modeÚTorchFunctionMode©Úcontext_decoratorÚCURRENT_DEVICEé   c                   C   sâ   h t j’t j’t j’t j’t j’t j’t j’t j’t j	’t j
j’t j
j’t j’t j’t j’t j’t j’t j’t jj’t j’t j’t j’t j’t j’t j’t j’t j’t j’t j’t j’t j ’t j!’t j"’t j#’t j$’t j%’t j&’S ©N)'ÚtorchÚemptyÚempty_permutedÚempty_stridedÚempty_quantizedÚonesÚarangeÚbartlett_windowÚblackman_windowÚeyeÚfftÚfftfreqÚrfftfreqÚfullÚhamming_windowÚhann_windowÚkaiser_windowÚlinspaceÚlogspaceÚnestedÚnested_tensorÚrandÚrandnÚrandintÚrandpermÚrangeÚsparse_coo_tensorÚsparse_compressed_tensorÚsparse_csr_tensorÚsparse_csc_tensorÚsparse_bsr_tensorÚsparse_bsc_tensorÚtril_indicesÚtriu_indicesÚzerosÚasarrayÚtensorÚ	as_tensorÚscalar_tensor© r3   r3   úN/var/www/html/scripts/venv/lib/python3.10/site-packages/torch/utils/_device.pyÚ_device_constructors   s’   þýüûúùø	÷
öõôóòñðïîíêéèçæåäãâá à!ß"Þ#Ý$Ü&Ú'Ù(Ør5   c                   @   s.   e Zd Zdd„ Zdd„ Zdd„ Zdd	d
„ZdS )ÚDeviceContextc                 C   s   t  |¡| _d S r   )r   Údevice)Úselfr7   r3   r3   r4   Ú__init__>   s   zDeviceContext.__init__c                 C   sB   t | _| ja dd„ ttƒ ƒD ƒ}t| ƒ t|ƒD ]}t|ƒ qd S )Nc                 S   s   g | ]}t ƒ ‘qS r3   )r   )Ú.0Ú_r3   r3   r4   Ú
<listcomp>I   s    z+DeviceContext.__enter__.<locals>.<listcomp>)r	   Ú
old_devicer7   r%   r   r   Úreversed)r8   Ú	cur_stackÚmoder3   r3   r4   Ú	__enter__A   s   
ÿzDeviceContext.__enter__c                 C   st   | j ag }ttƒ d ƒD ]}tƒ }t|tƒrJ ‚| |¡ qtƒ dkr-tƒ }t|tƒs-J ‚t|ƒD ]}t	|ƒ q1d S )Nr
   r   )
r=   r	   r%   r   r   Ú
isinstancer6   Úappendr>   r   )r8   Úexc_typeÚexc_valÚexc_tbr?   r;   r@   r3   r3   r4   Ú__exit__P   s   

ÿzDeviceContext.__exit__r3   Nc                 C   s8   |pi }|t ƒ v r| d¡d u r| j|d< ||i |¤ŽS )Nr7   )r5   Úgetr7   )r8   ÚfuncÚtypesÚargsÚkwargsr3   r3   r4   Ú__torch_function__c   s   
z DeviceContext.__torch_function__)r3   N)Ú__name__Ú
__module__Ú__qualname__r9   rA   rG   rM   r3   r3   r3   r4   r6   =   s
    r6   c                    s   t ‡ fdd„|ƒS )Nc                      s   ˆ S r   r3   r3   ©r7   r3   r4   Ú<lambda>l   s    z"device_decorator.<locals>.<lambda>r   )r7   rI   r3   rQ   r4   Údevice_decoratork   s   rS   c                    s   ‡ fdd„S )zð
    Set the default device inside of the wrapped function by decorating it with this function.

    If you would like to use this as a context manager, use device as a
    context manager directly, e.g., ``with torch.device(device)``.
    c                    s   t t ˆ ¡| ƒS r   )rS   r   r7   )rI   rQ   r3   r4   rR   v   s    zset_device.<locals>.<lambda>r3   rQ   r3   rQ   r4   Ú
set_deviceo   s   rT   )Ú	functoolsÚtypingr   r   Útorch._Cr   Útorch.overridesr   r   r   Útorch.utils._contextlibr   r	   r7   Ú__annotations__Ú	lru_cacher5   r6   rS   rT   r3   r3   r3   r4   Ú<module>   s   

..