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    9%eS                     @   s   d dl Z d dlmZ d dlmZmZmZmZmZ d dl	Z	d dl
Z	d dlZ	d dlZ	d dlZ	d dlZ	d dlZ	d dlZ	d dlmZ e ddd Ze ddd ZG d	d
 d
e	jjZdS )    N)nullcontext)AnyCallableDictOptionalSequence)torch_function_passthroughc               *   C   s   t t jft jt jjft jjt jjjft jt jjft jt jjft jt jjfg} t jjt jj	t jj
t jjt jjt jjt jjt jjt jjt jjt jjt jjt jjt jjt jjt jjt jjt jjt jjt jjt jjt jjt jjt jjt jjt jjt jj t jj t jj!t jj!t jj"t jj"t jj#t jj#t jj$t jj$t jj%t jj%t jj&t j'j(t jj)t j'j)i}| D ]0\}}|j*D ]}|j+,|||j+,|< q^qPt-t jD ].}|t jj*krt jj+,||t.t j|< qt jj/j*D ]4}t.t j|dpt.t |}t jj/j+,|||< q|S )z}
    Mapping of torch API functions to torch._refs functions.
    E.g. torch_to_refs_map()[torch.add] == torch._refs.add
    N)0torchZ_refsnnZ
functionalspecialZfftZlinalgZTensor
__invert__Zbitwise_not__xor__Zbitwise_xor__and__Zbitwise_and__or__Z
bitwise_or__eq__eq__rsub__Zrsub__rtruediv__Zrtruediv__floordiv__Zfloor_divide__rfloordiv__Z	rfloordiv__pow__pow__rpow__ZrpowZ	new_emptyZnew_fullZ	new_zerosZnew_onesZfill_Zzero_toZsum_to_sizeZcopy__primsZcopy_toresize__all____dict__getdirgetattrZ_conversions)modulesrZ	mod_torchZmod_refssZtensor_attr r$   S/var/www/html/Darija-Ai-API/env/lib/python3.8/site-packages/torch/_prims/context.pytorch_to_refs_map   sx    	                     
 r&   c                   C   s   dd t jjD S )zJ
    Set of all prim functions, e.g., torch._prims.add in all_prims()
    c                 S   s   h | ]}t jj|qS r$   )r	   r   r   r   ).0r#   r$   r$   r%   	<setcomp>O   s     zall_prims.<locals>.<setcomp>)r	   r   r   r$   r$   r$   r%   	all_primsJ   s    r)   c                   @   sB   e Zd ZdZddd efddZdeeee e	e
 d	d
dZdS )TorchRefsModeaB  
    Switches the interpretation of torch.* functions and Tensor methods to
    use PrimTorch refs in torch._refs.  (Direct calls to _refs are unaffected.)

    >>> # xdoctest: +SKIP
    >>> with TorchRefsMode():
    ...     torch.add(x, y)  # calls torch._refs.add(x, y)

    By default, this context manager will fall back on the torch.* if the
    ref does not exist; set strict=True to error if this occurs.
    If the ref exists we still would like to fall back on the torch.* sometimes,
    this behavior can be customized by passing a function to should_fallback_fn.
    Fc                  G   s   dS )NFr$   )_r$   r$   r%   <lambda>d       zTorchRefsMode.<lambda>c                 C   s   || _ || _|| _d S )N)strictshould_fallback_fnprims_mode_cls)selfr.   r/   r0   r$   r$   r%   __init__a   s    zTorchRefsMode.__init__r$   N)	orig_functypesargskwargsc              
   C   s   |d kri }|t ks|t krD|   |||W  5 Q R  S Q R X t }||d }|d kr|t|tjjr|tj	j
|d }|d k	r| | ||||r|||S |  |||W  5 Q R  S Q R X | jrtdtj| |||S )Nzno _refs support for )r   r)   r0   r&   r   
isinstancer	   Z_opsZ
OpOverload_decompZdecomposition_tabler/   r.   RuntimeError	overridesresolve_name)r1   r3   r4   r5   r6   mappingfuncr$   r$   r%   __torch_function__k   s&    

z TorchRefsMode.__torch_function__)r$   N)__name__
__module____qualname____doc__r   r2   r   r   r   r   r   r>   r$   r$   r$   r%   r*   R   s   
  r*   )	functools
contextlibr   typingr   r   r   r   r   r	   Ztorch._decompZtorch._primsZtorch._refsZtorch._refs.nnZtorch._refs.nn.functionalZtorch._refs.specialZtorch.overridesZtorch._prims_commonr   	lru_cacher&   r)   r:   ZTorchFunctionModer*   r$   r$   r$   r%   <module>   s    
6
