nstructured() (in module torch.nn.utils.prune) ](generated/torch.nn.utils.prune.random_unstructured.html#torch.nn.utils.prune.random_unstructured)
  * [ RandomAffine (class in torchvision.transforms) ](torchvision/transforms.html#torchvision.transforms.RandomAffine)
  * [ RandomApply (class in torchvision.transforms) ](torchvision/transforms.html#torchvision.transforms.RandomApply)
  * [ RandomChoice (class in torchvision.transforms) ](torchvision/transforms.html#torchvision.transforms.RandomChoice)
  * [ RandomCrop (class in torchvision.transforms) ](torchvision/transforms.html#torchvision.transforms.RandomCrop)
  * [ RandomErasing (class in torchvision.transforms) ](torchvision/transforms.html#torchvision.transforms.RandomErasing)
  * [ RandomGrayscale (class in torchvision.transforms) ](torchvision/transforms.html#torchvision.transforms.RandomGrayscale)
  * [ RandomHorizontalFlip (class in torchvision.transforms) ](torchvision/transforms.html#torchvision.transforms.RandomHorizontalFlip)
  * [ RandomOrder (class in torchvision.transforms) ](torchvision/transforms.html#torchvision.transforms.RandomOrder)
  * [ RandomPerspective (class in torchvision.transforms) ](torchvision/transforms.html#torchvision.transforms.RandomPerspective)
  * [ RandomResizedCrop (class in torchvision.transforms) ](torchvision/transforms.html#torchvision.transforms.RandomResizedCrop)
  * [ RandomRotation (class in torchvision.transforms) ](torchvision/transforms.html#torchvision.transforms.RandomRotation)
  * [ RandomSampler (class in torch.utils.data) ](data.html#torch.utils.data.RandomSampler)
  * [ RandomSizedCrop (class in torchvision.transforms) ](torchvision/transforms.html#torchvision.transforms.RandomSizedCrop)
  * [ RandomStructured (class in torch.nn.utils.prune) ](generated/torch.nn.utils.prune.RandomStructured.html#torch.nn.utils.prune.RandomStructured)
  * [ RandomUnstructured (class in torch.nn.utils.prune) ](generated/torch.nn.utils.prune.RandomUnstructured.html#torch.nn.utils.prune.RandomUnstructured)
  * [ RandomVerticalFlip (class in torchvision.transforms) ](torchvision/transforms.html#torchvision.transforms.RandomVerticalFlip)
  * [ randperm() (in module torch) ](generated/torch.randperm.html#torch.randperm)
  * [ range() (in module torch) ](generated/torch.range.html#torch.range)
  * [ range_pop() (in module torch.cuda.nvtx) ](cuda.html#torch.cuda.nvtx.range_pop)
  * [ range_push() (in module torch.cuda.nvtx) ](cuda.html#torch.cuda.nvtx.range_push)
  * [ read_video() (in module torchvision.io) ](torchvision/io.html#torchvision.io.read_video)
  * [ read_video_timestamps() (in module torchvision.io) ](torchvision/io.html#torchvision.io.read_video_timestamps)
  * [ real (torch.Tensor attribute) ](tensors.html#torch.Tensor.real)
  * [ real() (in module torch) ](generated/torch.real.html#torch.real)
  * [ reciprocal() (in module torch) ](generated/torch.reciprocal.html#torch.reciprocal)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.reciprocal)
  * [ reciprocal_() (torch.Tensor method) ](tensors.html#torch.Tensor.reciprocal_)
  * [ record() (torch.cuda.Event method) ](cuda.html#torch.cuda.Event.record)
  * [ record_event() (torch.cuda.Stream method) ](cuda.html#torch.cuda.Stream.record_event)
  * [ record_stream() (torch.Tensor method) ](tensors.html#torch.Tensor.record_stream)
  * [ RecordingObserver (class in torch.quantization) ](quantization.html#torch.quantization.RecordingObserver)
  * [ recv() (in module torch.distributed) ](distributed.html#torch.distributed.recv)
  * [ reduce() (in module torch.distributed) ](distributed.html#torch.distributed.reduce)
  * [ reduce_add() (in module torch.cuda.comm) ](cuda.html#torch.cuda.comm.reduce_add)
  * [ reduce_multigpu() (in module torch.distributed) ](distributed.html#torch.distributed.reduce_multigpu)
  * [ reduce_op (class in torch.distributed) ](distributed.html#torch.distributed.reduce_op)
  * [ reduce_scatter() (in module torch.distributed) ](distributed.html#torch.dist