- en: TVTensors
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  - PREF_H1
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  zh: TVTensors
- en: 原文：[https://pytorch.org/vision/stable/tv_tensors.html](https://pytorch.org/vision/stable/tv_tensors.html)
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  - PREF_BQ
  type: TYPE_NORMAL
  zh: 原文：[https://pytorch.org/vision/stable/tv_tensors.html](https://pytorch.org/vision/stable/tv_tensors.html)
- en: TVTensors are [`torch.Tensor`](https://pytorch.org/docs/stable/tensors.html#torch.Tensor
    "(in PyTorch v2.2)") subclasses which the v2 [transforms](transforms.html#transforms)
    use under the hood to dispatch their inputs to the appropriate lower-level kernels.
    Most users do not need to manipulate TVTensors directly.
  id: totrans-2
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  type: TYPE_NORMAL
  zh: TVTensors是[`torch.Tensor`](https://pytorch.org/docs/stable/tensors.html#torch.Tensor
    "(在PyTorch v2.2中)")的子类，v2 [transforms](transforms.html#transforms)在内部使用它们来将输入分派到适当的底层内核。大多数用户不需要直接操作TVTensors。
- en: Refer to [Getting started with transforms v2](auto_examples/transforms/plot_transforms_getting_started.html#sphx-glr-auto-examples-transforms-plot-transforms-getting-started-py)
    for an introduction to TVTensors, or [TVTensors FAQ](auto_examples/transforms/plot_tv_tensors.html#sphx-glr-auto-examples-transforms-plot-tv-tensors-py)
    for more advanced info.
  id: totrans-3
  prefs: []
  type: TYPE_NORMAL
  zh: 有关TVTensors的介绍，请参阅[开始使用transforms v2](auto_examples/transforms/plot_transforms_getting_started.html#sphx-glr-auto-examples-transforms-plot-transforms-getting-started-py)，或者查看[TVTensors
    FAQ](auto_examples/transforms/plot_tv_tensors.html#sphx-glr-auto-examples-transforms-plot-tv-tensors-py)以获取更多高级信息。
- en: '| [`Image`](generated/torchvision.tv_tensors.Image.html#torchvision.tv_tensors.Image
    "torchvision.tv_tensors.Image")(data, *[, dtype, device, requires_grad]) | [`torch.Tensor`](https://pytorch.org/docs/stable/tensors.html#torch.Tensor
    "(in PyTorch v2.2)") subclass for images. |'
  id: totrans-4
  prefs: []
  type: TYPE_TB
  zh: '| [`Image`](generated/torchvision.tv_tensors.Image.html#torchvision.tv_tensors.Image
    "torchvision.tv_tensors.Image")(data, *[, dtype, device, requires_grad]) | 用于图像的[`torch.Tensor`](https://pytorch.org/docs/stable/tensors.html#torch.Tensor
    "(在PyTorch v2.2中)")子类。 |'
- en: '| [`Video`](generated/torchvision.tv_tensors.Video.html#torchvision.tv_tensors.Video
    "torchvision.tv_tensors.Video")(data, *[, dtype, device, requires_grad]) | [`torch.Tensor`](https://pytorch.org/docs/stable/tensors.html#torch.Tensor
    "(in PyTorch v2.2)") subclass for videos. |'
  id: totrans-5
  prefs: []
  type: TYPE_TB
  zh: '| [`Video`](generated/torchvision.tv_tensors.Video.html#torchvision.tv_tensors.Video
    "torchvision.tv_tensors.Video")(data, *[, dtype, device, requires_grad]) | 用于视频的[`torch.Tensor`](https://pytorch.org/docs/stable/tensors.html#torch.Tensor
    "(在PyTorch v2.2中)")子类。 |'
- en: '| [`BoundingBoxFormat`](generated/torchvision.tv_tensors.BoundingBoxFormat.html#torchvision.tv_tensors.BoundingBoxFormat
    "torchvision.tv_tensors.BoundingBoxFormat")(value) | Coordinate format of a bounding
    box. |'
  id: totrans-6
  prefs: []
  type: TYPE_TB
  zh: '| [`BoundingBoxFormat`](generated/torchvision.tv_tensors.BoundingBoxFormat.html#torchvision.tv_tensors.BoundingBoxFormat
    "torchvision.tv_tensors.BoundingBoxFormat")(value) | 边界框的坐标格式。 |'
- en: '| [`BoundingBoxes`](generated/torchvision.tv_tensors.BoundingBoxes.html#torchvision.tv_tensors.BoundingBoxes
    "torchvision.tv_tensors.BoundingBoxes")(data, *, format, canvas_size) | [`torch.Tensor`](https://pytorch.org/docs/stable/tensors.html#torch.Tensor
    "(in PyTorch v2.2)") subclass for bounding boxes. |'
  id: totrans-7
  prefs: []
  type: TYPE_TB
  zh: '| [`BoundingBoxes`](generated/torchvision.tv_tensors.BoundingBoxes.html#torchvision.tv_tensors.BoundingBoxes
    "torchvision.tv_tensors.BoundingBoxes")(data, *, format, canvas_size) | 用于边界框的[`torch.Tensor`](https://pytorch.org/docs/stable/tensors.html#torch.Tensor
    "(在PyTorch v2.2中)")子类。 |'
- en: '| [`Mask`](generated/torchvision.tv_tensors.Mask.html#torchvision.tv_tensors.Mask
    "torchvision.tv_tensors.Mask")(data, *[, dtype, device, requires_grad]) | [`torch.Tensor`](https://pytorch.org/docs/stable/tensors.html#torch.Tensor
    "(in PyTorch v2.2)") subclass for segmentation and detection masks. |'
  id: totrans-8
  prefs: []
  type: TYPE_TB
  zh: '| [`Mask`](generated/torchvision.tv_tensors.Mask.html#torchvision.tv_tensors.Mask
    "torchvision.tv_tensors.Mask")(data, *[, dtype, device, requires_grad]) | 用于分割和检测掩码的[`torch.Tensor`](https://pytorch.org/docs/stable/tensors.html#torch.Tensor
    "(在PyTorch v2.2中)")子类。 |'
- en: '| [`TVTensor`](generated/torchvision.tv_tensors.TVTensor.html#torchvision.tv_tensors.TVTensor
    "torchvision.tv_tensors.TVTensor") | Base class for all TVTensors. |'
  id: totrans-9
  prefs: []
  type: TYPE_TB
  zh: '| [`TVTensor`](generated/torchvision.tv_tensors.TVTensor.html#torchvision.tv_tensors.TVTensor
    "torchvision.tv_tensors.TVTensor") | 所有TVTensors的基类。 |'
- en: '| [`set_return_type`](generated/torchvision.tv_tensors.set_return_type.html#torchvision.tv_tensors.set_return_type
    "torchvision.tv_tensors.set_return_type")(return_type) | Set the return type of
    torch operations on [`TVTensor`](generated/torchvision.tv_tensors.TVTensor.html#torchvision.tv_tensors.TVTensor
    "torchvision.tv_tensors.TVTensor"). |'
  id: totrans-10
  prefs: []
  type: TYPE_TB
  zh: '| [`set_return_type`](generated/torchvision.tv_tensors.set_return_type.html#torchvision.tv_tensors.set_return_type
    "torchvision.tv_tensors.set_return_type")(return_type) | 设置[`TVTensor`](generated/torchvision.tv_tensors.TVTensor.html#torchvision.tv_tensors.TVTensor
    "torchvision.tv_tensors.TVTensor")上torch操作的返回类型。 |'
- en: '| [`wrap`](generated/torchvision.tv_tensors.wrap.html#torchvision.tv_tensors.wrap
    "torchvision.tv_tensors.wrap")(wrappee, *, like, **kwargs) | Convert a [`torch.Tensor`](https://pytorch.org/docs/stable/tensors.html#torch.Tensor
    "(in PyTorch v2.2)") (`wrappee`) into the same [`TVTensor`](generated/torchvision.tv_tensors.TVTensor.html#torchvision.tv_tensors.TVTensor
    "torchvision.tv_tensors.TVTensor") subclass as `like`. |'
  id: totrans-11
  prefs: []
  type: TYPE_TB
  zh: '| [`wrap`](generated/torchvision.tv_tensors.wrap.html#torchvision.tv_tensors.wrap
    "torchvision.tv_tensors.wrap")(wrappee, *, like, **kwargs) | 将[`torch.Tensor`](https://pytorch.org/docs/stable/tensors.html#torch.Tensor
    "(在PyTorch v2.2中)") (`wrappee`)转换为与`like`相同的[`TVTensor`](generated/torchvision.tv_tensors.TVTensor.html#torchvision.tv_tensors.TVTensor
    "torchvision.tv_tensors.TVTensor")子类。 |'