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# ToTensor

class torchvision.transforms.v2.ToTensor

  [BETA] [DEPRECATED] Use `v2.Compose([v2.ToImage(), v2.ToDtype(torch.float32, scale=True)])` instead.

  Convert a PIL Image or ndarray to tensor and scale the values accordingly.

  Note

  The ToTensor transform is in Beta stage, and while we do not expect disruptive breaking changes, some APIs may slightly change according to user feedback. Please submit any feedback you may have in this issue: https://github.com/pytorch/vision/issues/6753.

  Warning

  `v2.ToTensor` is deprecated and will be removed in a future release. Please use instead `v2.Compose([v2.ToImage(), v2.ToDtype(torch.float32, scale=True)])`.

  This transform does not support torchscript.

  Converts a PIL Image or numpy.ndarray (H x W x C) in the range [0, 255] to a torch.FloatTensor of shape (C x H x W) in the range [0.0, 1.0] if the PIL Image belongs to one of the modes (L, LA, P, I, F, RGB, YCbCr, RGBA, CMYK, 1) or if the numpy.ndarray has dtype = np.uint8

  In the other cases, tensors are returned without scaling.

  Note

  Because the input image is scaled to [0.0, 1.0], this transformation should not be used when transforming target image masks. See the references for implementing the transforms for image masks.

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