o
    0ñh§  ã                   @   sÐ   d Z ddlZddlmZmZ g Zejjjejjj	ejjj
ejjjejjjejjjejjjejjjejjjejjjejjjejjjejjjejjjejjjejjjejjjejjjejjjgZdd„ Zdd„ ZdS )	zô
These are functions that should simply be applied to both mask and data.
Take select or stack as an example. This operation can be applied to
both the mask and data of a MaskedTensor and the result wrapped into
a new MaskedTensor as a result.
é    Né   ©Ú_map_mt_args_kwargsÚ_wrap_resultc                 C   s   | t v S ©N)ÚPASSTHROUGH_FNS)Úfn© r	   úY/var/www/vscode/kcb/lib/python3.10/site-packages/torch/masked/maskedtensor/passthrough.pyÚ_is_pass_through_fn)   s   r   c           	      O   sN   t ||dd„ ƒ\}}| |i |¤Ž}t ||dd„ ƒ\}}| |i |¤Ž}t||ƒS )Nc                 S   ó   |   ¡ S r   )Úget_data©Úxr	   r	   r
   Ú<lambda>.   ó    z(_apply_pass_through_fn.<locals>.<lambda>c                 S   r   r   )Úget_maskr   r	   r	   r
   r   0   r   r   )	r   ÚargsÚkwargsÚ	data_argsÚdata_kwargsÚresult_dataÚ	mask_argsÚmask_kwargsÚresult_maskr	   r	   r
   Ú_apply_pass_through_fn-   s
   
r   )Ú__doc__ÚtorchÚcorer   r   Ú__all__ÚopsÚatenÚselectÚ	transposeÚsplitÚtÚsliceÚslice_backwardÚselect_backwardÚindexÚexpandÚviewÚ_unsafe_viewÚ_reshape_aliasÚcatÚ	unsqueezeÚunfoldÚunfold_backwardÚim2colÚcol2imÚstackr   r   r   r	   r	   r	   r
   Ú<module>   s4   í