xhNddlmZddlmZddlZddlZddlmZGddeZ y)) annotations)AnyN)TVTensorcBeZdZdZdddd ddZddddZy) Imagea:class:`torch.Tensor` subclass for images with shape ``[..., C, H, W]``. .. note:: In the :ref:`transforms `, ``Image`` instances are largely interchangeable with pure :class:`torch.Tensor`. See :ref:`this note ` for more details. Args: data (tensor-like, PIL.Image.Image): Any data that can be turned into a tensor with :func:`torch.as_tensor` as well as PIL images. dtype (torch.dtype, optional): Desired data type. If omitted, will be inferred from ``data``. device (torch.device, optional): Desired device. If omitted and ``data`` is a :class:`torch.Tensor`, the device is taken from it. Otherwise, the image is constructed on the CPU. requires_grad (bool, optional): Whether autograd should record operations. If omitted and ``data`` is a :class:`torch.Tensor`, the value is taken from it. Otherwise, defaults to ``False``. Ndtypedevice requires_gradcTt|tjjrddlm}|j |}|j ||||}|jdkrtd|jd|jdk(r|jd}|j|S)Nr) functionalr z!Tensor must be 2D or higher, got z D tensor.) isinstancePILrtorchvision.transforms.v2r pil_to_tensor _to_tensorndim ValueError unsqueeze as_subclass)clsdatar r r Ftensors y/home/developers/rajanand/mypropertyqr-fmb-refixing-v2/venv/lib/python3.12/site-packages/torchvision/tv_tensors/_image.py__new__z Image.__new__s dCIIOO , A??4(DE&P]^ ;;?@ YWX X [[A %%a(F!!#&&)tensor_contentsc"|jS)N) _make_repr)selfr s r__repr__zImage.__repr__4s  r) rrr ztorch.dtype | Noner ztorch.device | str | int | Noner z bool | Nonereturnr)r rr%str)__name__ __module__ __qualname____doc__rr$rrrr sQ.%)26%) ''" ' 0 ' # ' '*26!rr) __future__rtypingr PIL.Imagertorch _tv_tensorrrr+rrr1s " *!H*!r