U h@sPddlmZddlmZmZmZddlZddlZddl m Z Gddde Z dS)) annotations)AnyOptionalUnionN)TVTensorc@sFeZdZdZddddddddddd d Zdd dd d ddZdS)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_gradrzOptional[torch.dtype]z'Optional[Union[torch.device, str, int]]zOptional[bool])datar r r returncCsdt|tjjr$ddlm}||}|j||||d}|jdkrFtn|jdkrZ| d}| |S)Nr) functionalr ) isinstancePILrZtorchvision.transforms.v2rZ pil_to_tensorZ _to_tensorndim ValueErrorZ unsqueezeZ as_subclass)clsr r r r FZtensorrO/var/www/html/venv/lib/python3.8/site-packages/torchvision/tv_tensors/_image.py__new__s     z Image.__new__)tensor_contentsstr)rrcCs|S)N)Z _make_repr)selfrrrr__repr__4szImage.__repr__)__name__ __module__ __qualname____doc__rrrrrrr s r) __future__rtypingrrrZ PIL.ImagerZtorchZ _tv_tensorrrrrrrs