o
    ‘iy
  ã                   @   sb   d dl Z d dlmZ d dlmZ d dlZdae d¡dd„ ƒZG dd„ deƒZ	d	d
„ Z
dd„ ZdS )é    N)ÚTorchFunctionMode©Úcontext_decoratoré   c                   C   sú   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’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$’t j%’t j&’t j'’t j(’t j%’S ©N))ÚtorchÚemptyZempty_permutedZempty_stridedZempty_quantizedZonesZarangeZbartlett_windowZblackman_windowÚeyeZfftZfftfreqZrfftfreqÚfullÚfillZhamming_windowZhann_windowZkaiser_windowZlinspaceZlogspaceÚnestedZnested_tensorZrandZrandnÚrandintZrandpermÚrangeZsparse_coo_tensorZsparse_compressed_tensorZsparse_csr_tensorZsparse_csc_tensorZsparse_bsr_tensorZsparse_bsc_tensorZtril_indicesZtriu_indicesZvanderZzerosZasarrayZtensorZ	as_tensorZscalar_tensor© r   r   úb/var/www/html/eduruby.in/lip-sync/lip-sync-env/lib/python3.10/site-packages/torch/utils/_device.pyÚ_device_constructors   s¢   þýüûúùø	÷
öõôóòñðïîíìéèçæåäãâá à!ß"Þ#Ý$Ü%Û&Ú'Ù)×*Ö+Õ,Ôr   c                       s:   e Zd Zdd„ Z‡ fdd„Z‡ fdd„Zdd	d
„Z‡  ZS )ÚDeviceContextc                 C   s   t  |¡| _d S r   )r   Údevice)Úselfr   r   r   r   Ú__init__;   s   zDeviceContext.__init__c                    s   t | _| ja tƒ  ¡ S r   )ÚCURRENT_DEVICEÚ
old_devicer   ÚsuperÚ	__enter__)r   ©Ú	__class__r   r   r   >   s   
zDeviceContext.__enter__c                    s   | j atƒ  |||¡S r   )r   r   r   Ú__exit__)r   Úexc_typeÚexc_valÚexc_tbr   r   r   r   D   s   zDeviceContext.__exit__r   Nc                 C   s8   |pi }|t ƒ v r| d¡d u r| j|d< ||i |¤ŽS )Nr   )r   Úgetr   )r   ÚfuncÚtypesÚargsÚkwargsr   r   r   Ú__torch_function__I   s   
z DeviceContext.__torch_function__)r   N)Ú__name__Ú
__module__Ú__qualname__r   r   r   r%   Ú__classcell__r   r   r   r   r   :   s
    r   c                    s   t ‡ fdd„|ƒS )Nc                      s   ˆ S r   r   r   ©r   r   r   Ú<lambda>Q   s    z"device_decorator.<locals>.<lambda>r   )r   r!   r   r*   r   Údevice_decoratorP   s   r,   c                    s   ‡ fdd„S )zá
    Decorator which sets the default device inside of the wrapped
    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   )r,   r   r   )r!   r*   r   r   r+   Z   s    zset_device.<locals>.<lambda>r   r*   r   r*   r   Ú
set_deviceS   s   r-   )r   Ztorch.overridesr   Ztorch.utils._contextlibr   Ú	functoolsr   Ú	lru_cacher   r   r,   r-   r   r   r   r   Ú<module>   s    
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