xhiFddlmZddlmZddlZddlmZGddeZy)) annotations)AnyN)TVTensorcBeZdZdZdddd ddZddddZy) 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_gradcx|j||||}|jdkrt|j|S)Nr ) _to_tensorndim ValueError as_subclass)clsdatar r r tensors y/home/developers/rajanand/mypropertyqr-fmb-refixing-v2/venv/lib/python3.12/site-packages/torchvision/tv_tensors/_video.py__new__z Video.__new__s=E&P]^ 99q= !!#&&)tensor_contentsc"|jS)N) _make_repr)selfrs r__repr__zVideo.__repr__$s  r) rrr ztorch.dtype | Noner ztorch.device | str | int | Noner z bool | Nonereturnr)rrrstr)__name__ __module__ __qualname____doc__rrrrrr sQ  %)26%) ' '" ' 0 ' # '  '26!rr) __future__rtypingrtorch _tv_tensorrrr$rrr)s" !H!r