o ki@sUddlZddlmZddlZddlmZddlmZmZm Z ddl m Z da ej dBed<eddd ZGd d d e Zd d ZddZdS)N)Optional)_len_torch_function_stack) _pop_mode _push_modeTorchFunctionModecontext_decoratorCURRENT_DEVICEcCshtjtjtjtjtjtjtjtjtj tj j tj j tj tjtjtjtjtjtjjtjtjtjtjtjtjtjtjtjtjtjtj tj!tj"tj#tj$tj%tj&SN)'torchemptyempty_permuted empty_stridedempty_quantizedonesarangebartlett_windowblackman_windoweyefftfftfreqrfftfreqfullhamming_window hann_window kaiser_windowlinspacelogspacenested nested_tensorrandrandnrandintrandpermrangesparse_coo_tensorsparse_compressed_tensorsparse_csr_tensorsparse_csc_tensorsparse_bsr_tensorsparse_bsc_tensor tril_indices triu_indiceszerosasarraytensor as_tensor scalar_tensorr3r3]/var/www/addictedbytheproject.nl/epg/venv/lib/python3.10/site-packages/torch/utils/_device.py_device_constructorss      !"#$&'(r5c@s0eZdZd ddZddZddZd d d ZdS) DeviceContextreturnNcCst||_d|_dSr )r device prev_mode)selfr8r3r3r4__init__>s  zDeviceContext.__init__cCsTt|_|jaddttD}t|t|D]}t|tr#||_ qt|qdS)NcSsg|]}tqSr3)r).0_r3r3r4 Ksz+DeviceContext.__enter__..) r old_devicer8r%rrreversed isinstancer6r9)r: cur_stackmoder3r3r4 __enter__Cs   zDeviceContext.__enter__cCs|jag}ttdD]}t}t|trtd||q tdkr1t}t|ts1td|j dur;t |j t |D]}t |q?dS)Nr z@Found nested DeviceContext on the mode stack where none expectedrz8Expected a DeviceContext at the bottom of the mode stack) r?r r%rrrAr6AssertionErrorappendr9rr@)r:exc_typeexc_valexc_tbrBr=rCr3r3r4__exit__Us(        zDeviceContext.__exit__r3cCs8|pi}|tvr|ddur|j|d<||i|S)Nr8)r5getr8)r:functypesargskwargsr3r3r4__torch_function__ps z DeviceContext.__torch_function__)r7N)r3N)__name__ __module__ __qualname__r;rDrJrPr3r3r3r4r6=s  r6cstfdd|S)NcsSr r3r3r8r3r4ysz"device_decorator..r)r8rLr3rTr4device_decoratorxsrVcs fddS)z 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)``. cstt|Sr )rVr r8)rLrTr3r4rUszset_device..r3rTr3rTr4 set_device|s rW) functoolstypingrr torch._Crtorch.overridesrrrtorch.utils._contextlibrr r8__annotations__ lru_cacher5r6rVrWr3r3r3r4s     .;