rch) ](generated/torch.remainder.html#torch.remainder)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.remainder)
  * [ remainder_() (torch.Tensor method) ](tensors.html#torch.Tensor.remainder_)
  * [ remote() (in module torch.distributed.rpc) ](rpc.html#torch.distributed.rpc.remote)
    * [ (torch.distributed.rpc.RRef method) ](rpc.html#torch.distributed.rpc.RRef.remote)
  * [ remove() (in module torch.nn.utils.prune) ](generated/torch.nn.utils.prune.remove.html#torch.nn.utils.prune.remove)
    * [ (torch.nn.utils.prune.BasePruningMethod method) ](generated/torch.nn.utils.prune.BasePruningMethod.html#torch.nn.utils.prune.BasePruningMethod.remove)
    * [ (torch.nn.utils.prune.CustomFromMask method) ](generated/torch.nn.utils.prune.CustomFromMask.html#torch.nn.utils.prune.CustomFromMask.remove)
    * [ (torch.nn.utils.prune.Identity method) ](generated/torch.nn.utils.prune.Identity.html#torch.nn.utils.prune.Identity.remove)
    * [ (torch.nn.utils.prune.L1Unstructured method) ](generated/torch.nn.utils.prune.L1Unstructured.html#torch.nn.utils.prune.L1Unstructured.remove)
    * [ (torch.nn.utils.prune.LnStructured method) ](generated/torch.nn.utils.prune.LnStructured.html#torch.nn.utils.prune.LnStructured.remove)
    * [ (torch.nn.utils.prune.PruningContainer method) ](generated/torch.nn.utils.prune.PruningContainer.html#torch.nn.utils.prune.PruningContainer.remove)
    * [ (torch.nn.utils.prune.RandomStructured method) ](generated/torch.nn.utils.prune.RandomStructured.html#torch.nn.utils.prune.RandomStructured.remove)
    * [ (torch.nn.utils.prune.RandomUnstructured method) ](generated/torch.nn.utils.prune.RandomUnstructured.html#torch.nn.utils.prune.RandomUnstructured.remove)

|

  * [ remove_spectral_norm() (in module torch.nn.utils) ](generated/torch.nn.utils.remove_spectral_norm.html#torch.nn.utils.remove_spectral_norm)
  * [ remove_weight_norm() (in module torch.nn.utils) ](generated/torch.nn.utils.remove_weight_norm.html#torch.nn.utils.remove_weight_norm)
  * [ rename() (torch.Tensor method) ](named_tensor.html#torch.Tensor.rename)
  * [ rename_() (torch.Tensor method) ](named_tensor.html#torch.Tensor.rename_)
  * [ renorm() (in module torch) ](generated/torch.renorm.html#torch.renorm)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.renorm)
  * [ renorm_() (torch.Tensor method) ](tensors.html#torch.Tensor.renorm_)
  * [ repeat() (torch.Tensor method) ](tensors.html#torch.Tensor.repeat)
  * [ repeat_interleave() (in module torch) ](generated/torch.repeat_interleave.html#torch.repeat_interleave) , [ [1] ](generated/torch.repeat_interleave.html#torch.repeat_interleave)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.repeat_interleave)
  * [ ReplicationPad1d (class in torch.nn) ](generated/torch.nn.ReplicationPad1d.html#torch.nn.ReplicationPad1d)
  * [ ReplicationPad2d (class in torch.nn) ](generated/torch.nn.ReplicationPad2d.html#torch.nn.ReplicationPad2d)
  * [ ReplicationPad3d (class in torch.nn) ](generated/torch.nn.ReplicationPad3d.html#torch.nn.ReplicationPad3d)
  * [ requires_grad (torch.Tensor attribute) ](autograd.html#torch.Tensor.requires_grad)
  * [ requires_grad_() (torch.jit.ScriptModule method) ](generated/torch.jit.ScriptModule.html#torch.jit.ScriptModule.requires_grad_)
    * [ (torch.nn.Flatten method) ](generated/torch.nn.Flatten.html#torch.nn.Flatten.requires_grad_)
    * [ (torch.nn.Module method) ](generated/torch.nn.Module.html#torch.nn.Module.requires_grad_)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.requires_grad_)
  * [ reset() (torch.quasirandom.SobolEngine method) ](generated/torch.quasirandom.SobolEngine.html#torch.quasirandom.SobolEngine.reset)
  * [ reset_max_memory_allocated() (in module torch.cuda) ](cuda.html#torch.cuda.reset_max_memory_allocated)
  * [ reset_max_memory_cached() (in module torch.cuda) ](cuda.html#torch.cuda.reset_max_memory_cached)
  * [ reshape() (in module torch) ](generated/torch.reshape.html#torch.reshape)
    * [ (torch.Tenso