class_docstr: :class:`torch.Tensor` subclass for videos.
  
  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``.
code: def __new__(
      cls,
      data: Any,
      *,
      dtype: Optional[torch.dtype] = None,
      device: Optional[Union[torch.device, str, int]] = None,
      requires_grad: Optional[bool] = None,
  ) -> Video:
      tensor = cls._to_tensor(
          data, dtype=dtype, device=device, requires_grad=requires_grad
      )
      if data.ndim < 4:
          raise ValueError
      return tensor.as_subclass(cls)
  
file_path: vision/torchvision/tv_tensors/_video.py
imports: from __future__ import annotations
  from typing import Any, Optional, Union
  import torch
  from ._tv_tensor import TVTensor
label_desc: Use image node_id 1 for calling the Video obj's underlying member method code with example usage: obj.__new__(cls, data) and returns: tensor