U yh@s`ddlZddlmZddlmZddlZddlZddlmZGdddeZ Gdd d eZ dS) N)reduce) deprecated)Functionc@s0eZdZeededddZeddZdS)Typezt`torch.autograd._functions.Type` is deprecated as of PyTorch 2.1, please use `torch.tensor.to(dtype=dtype)` instead.)categorycCs(t||_|jsdn||_||SN)type input_typeZis_cudaZ get_device input_device)ctxiZ dest_typerR/var/www/html/venv/lib/python3.8/site-packages/torch/autograd/_functions/tensor.pyforward s z Type.forwardc CsP|jdkr||jdfStj|j||jdfW5QRSQRXdSr)r r r torchcudaZdevicer Z grad_outputrrrbackwards z Type.backwardN)__name__ __module__ __qualname__ staticmethodr FutureWarningrrrrrrr s rc@s$eZdZeddZeddZdS)Resizec Cs||_ttj|d|_||jkrZtddtt ||jdtt | || |_ |j r| ||j|S|r||j|}|S|j|SdS)Nzrequested resize to {} ({} elements in total), but the given tensor has a size of {} ({} elements). autograd's resize can only change the shape of a given tensor, while preserving the number of elements. x)sizesroperatormulnumel RuntimeErrorformatjoinmapstrsize input_sizesZ is_quantizedZcopy_ contiguousviewZ is_contiguousnew)r Ztensorrresultrrrr"s(  zResize.forwardcCs&||jkst||jdfS)N)r!AssertionErrorr)r*r(rrrrr>szResize.backwardN)rrrrrrrrrrr!s r) r functoolsrtyping_extensionsrrZ torch._utilsfunctionrrrrrrrs