U h@sHddlmZddlmZmZmZddlZddlmZGdddeZ dS)) annotations)AnyOptionalUnionN)TVTensorc@sFeZdZdZddddddddddd d Zdd dd d ddZdS)Videoa:class:`torch.Tensor` subclass for videos with shape ``[..., T, C, H, W]``. Args: data (tensor-like): Any data that can be turned into a tensor with :func:`torch.as_tensor`. 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 video 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 returncCs*|j||||d}|jdkr t||S)Nr )Z _to_tensorndim ValueErrorZ as_subclass)clsr r r r ZtensorrO/var/www/html/venv/lib/python3.8/site-packages/torchvision/tv_tensors/_video.py__new__s z Video.__new__)tensor_contentsstr)rrcCs|S)N)Z _make_repr)selfrrrr__repr__$szVideo.__repr__)__name__ __module__ __qualname____doc__rrrrrrr s  r) __future__rtypingrrrZtorchZ _tv_tensorrrrrrrs