%`iVddlmZddlmZddlZddlZddlmZGddeZ dS)) annotations)AnyN)TVTensorc2eZdZdZdddddd ZddddZdS)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_graddatarr torch.dtype | Noner torch.device | str | int | Noner bool | NonereturncXt|tjjrddlm}||}|||||}|jdkrtd|jd|jdkr| d}| |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)clsr r r r Ftensors q/home/jaya/work/projects/VOICE-AGENT/VIET/agent-env/lib/python3.11/site-packages/torchvision/tv_tensors/_image.py__new__z Image.__new__s dCIO , , ) A A A A A A??4((DE&P]^^ ;??WWWWXX X [A  %%a((F!!#&&&)tensor_contentsr$strc*|S)N) _make_repr)selfr$s r!__repr__zImage.__repr__4s   r#) r rr rr rr rrr)r$rrr%)__name__ __module__ __qualname____doc__r"r)r#r!rr sj.%)26%) ''''''*26!!!!!!!!r#r) __future__rtypingr PIL.Imagertorch _tv_tensorrrr.r#r!r4s"""""" *!*!*!*!*!H*!*!*!*!*!r#