o
    hS                     @   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} i 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 ]\}}|j*D ]}|j+,|||j+,|< qqt-t jD ]}|t jj*v rt jj+,||t.t j|< qt jj/j*D ]}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torch_refsnn
functionalspecialfftlinalgTensor
__invert__bitwise_not__xor__bitwise_xor__and__bitwise_and__or__
bitwise_or__eq__eq__rsub__rsub__rtruediv__rtruediv__floordiv__floor_divide__rfloordiv__	rfloordiv__pow__pow__rpow__rpow	new_emptynew_full	new_zerosnew_onesfill_zero_tosum_to_sizecopy__primscopy_toresize__all____dict__getdirgetattr_conversions)modulesr	mod_torchmod_refsstensor_attr r?   J/var/www/html/ai/venv/lib/python3.10/site-packages/torch/_prims/context.pytorch_to_refs_map   sv   	

rA   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	   r0   r4   r5   ).0r=   r?   r?   r@   	<setcomp>O   s    zall_prims.<locals>.<setcomp>)r	   r0   r3   r?   r?   r?   r@   	all_primsJ   s   rD   c                
   @   sL   e Zd ZdZddd efddZ		dd	ed
edee de	e
 f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   s    zTorchRefsMode.<lambda>c                 C   s   || _ || _|| _d S )N)strictshould_fallback_fnprims_mode_cls)selfrH   rI   rJ   r?   r?   r@   __init__a   s   
zTorchRefsMode.__init__r?   N	orig_functypesargskwargsc                 C   s  |d u ri }|t v s|t v r*|   ||i |W  d    S 1 s%w   Y  t }||d }|d u rFt|tjjrFtj	j
|d }|d urs| | ||||rZ||i |S |  ||i |W  d    S 1 snw   Y  | jrtdtj| ||i |S )Nzno _refs support for )r   rD   rJ   rA   r5   
isinstancer	   _ops
OpOverload_decompdecomposition_tablerI   rH   RuntimeError	overridesresolve_name)rK   rM   rN   rO   rP   mappingfuncr?   r?   r@   __torch_function__k   s*   
  z TorchRefsMode.__torch_function__)r?   N)__name__
__module____qualname____doc__r   rL   r   r   r   r   r   r[   r?   r?   r?   r@   rE   R   s"    
rE   )	functools
contextlibr   typingr   r   r   r   r   r	   torch._decomptorch._primstorch._refstorch._refs.nntorch._refs.nn.functionaltorch._refs.specialtorch.overridestorch._prims_commonr   	lru_cacherA   rD   rW   TorchFunctionModerE   r?   r?   r?   r@   <module>   s"    
6
