+ –°³j„ãó<€Rt^RIt^RIHtRRlt]!RR4R#)z'Adds docstrings to torch.Size functionsN)Ú _add_docstrcó4€V^8„dQhR\R\RR/#)éÚmethodÚdocstrÚreturnN)Ústr)Úformats"ÚQ/home/luca/screen-checking/.venv/lib/python3.14/site-packages/torch/_size_docs.pyÚ __annotate__r s!€÷7ñ7œ3ð7¬ð7°ñ7ócób€\\\PPV4V4R#)N)Ú add_docstrÚgetattrÚtorchÚ_CÚSize)rrs&&r Úadd_docstr_allrs€ÜŒw”u—x‘x—}‘} fÓ-¨vÖ6r Únumelaz numel() -> int Returns the number of elements a :class:`torch.Tensor` with the given size would contain. More formally, for a tensor ``x = tensor.ones(10, 10)`` with size ``s = torch.Size([10, 10])``, ``x.numel() == x.size().numel() == s.numel() == 100`` holds true. Example:: >>> x=torch.ones(10, 10) >>> s=x.size() >>> s torch.Size([10, 10]) >>> s.numel() 100 >>> x.numel() == s.numel() True .. warning:: This function does not return the number of dimensions described by :class:`torch.Size`, but instead the number of elements a :class:`torch.Tensor` with that size would contain. )Ú__doc__Útorch._Crrrr©r r Úrs%ðÙ-ãÝ.õ7ñØ ðör