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# TVTensors

TVTensors are `torch.Tensor` subclasses which the v2 transforms use under the hood to dispatch their inputs to the appropriate lower-level kernels. Most users do not need to manipulate TVTensors directly.

Refer to Getting started with transforms v2 for an introduction to TVTensors, or TVTensors FAQ for more advanced info.

`Image`(data, *[, dtype, device, requires_grad]) | [BETA] `torch.Tensor` subclass for images.
`Video`(data, *[, dtype, device, requires_grad]) | [BETA] `torch.Tensor` subclass for videos.
`BoundingBoxFormat`(value[, names, module, ...]) | [BETA] Coordinate format of a bounding box.
`BoundingBoxes`(data, *, format, canvas_size) | [BETA] `torch.Tensor` subclass for bounding boxes.
`Mask`(data, *[, dtype, device, requires_grad]) | [BETA] `torch.Tensor` subclass for segmentation and detection masks.
`TVTensor` | [Beta] Base class for all TVTensors.
`set_return_type`(return_type) | [BETA] Set the return type of torch operations on `TVTensor`.
`wrap`(wrappee, *, like, **kwargs) | [BETA] Convert a `torch.Tensor` (`wrappee`) into the same `TVTensor` subclass as `like`.

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