Source code for torchvision.tv_tensors._video
from __future__ import annotations
from typing import Any, Optional, Union
import torch
from ._tv_tensor import TVTensor
[docs]class Video(TVTensor):
"""[BETA] :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``.
"""
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)
def __repr__(self, *, tensor_contents: Any = None) -> str: # type: ignore[override]
return self._make_repr()