domUnstructured.html#torch.nn.utils.prune.RandomUnstructured.prune)
  * [ PruningContainer (class in torch.nn.utils.prune) ](generated/torch.nn.utils.prune.PruningContainer.html#torch.nn.utils.prune.PruningContainer)
  * [ ps_roi_align() (in module torchvision.ops) ](torchvision/ops.html#torchvision.ops.ps_roi_align)
  * [ ps_roi_pool() (in module torchvision.ops) ](torchvision/ops.html#torchvision.ops.ps_roi_pool)
  * [ PSRoIAlign (class in torchvision.ops) ](torchvision/ops.html#torchvision.ops.PSRoIAlign)
  * [ PSRoIPool (class in torchvision.ops) ](torchvision/ops.html#torchvision.ops.PSRoIPool)
  * [ put_() (torch.Tensor method) ](tensors.html#torch.Tensor.put_)

  
---|---  
  
##  Q

  * [ q_per_channel_axis() (torch.Tensor method) ](tensors.html#torch.Tensor.q_per_channel_axis)
  * [ q_per_channel_scales() (torch.Tensor method) ](tensors.html#torch.Tensor.q_per_channel_scales)
  * [ q_per_channel_zero_points() (torch.Tensor method) ](tensors.html#torch.Tensor.q_per_channel_zero_points)
  * [ q_scale() (torch.Tensor method) ](tensors.html#torch.Tensor.q_scale)
  * [ q_zero_point() (torch.Tensor method) ](tensors.html#torch.Tensor.q_zero_point)
  * [ QConfig (class in torch.quantization) ](quantization.html#torch.quantization.QConfig)
  * [ QConfigDynamic (class in torch.quantization) ](quantization.html#torch.quantization.QConfigDynamic)
  * [ QFunctional (class in torch.nn.quantized) ](quantization.html#torch.nn.quantized.QFunctional)
  * [ QMNIST (class in torchvision.datasets) ](torchvision/datasets.html#torchvision.datasets.QMNIST)
  * [ qr() (in module torch) ](generated/torch.qr.html#torch.qr)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.qr)

|

  * [ qscheme() (torch.Tensor method) ](tensors.html#torch.Tensor.qscheme)
  * [ Quantize (class in torch.nn.quantized) ](quantization.html#torch.nn.quantized.Quantize)
  * [ quantize() (in module torch.quantization) ](quantization.html#torch.quantization.quantize)
  * [ quantize_dynamic() (in module torch.quantization) ](quantization.html#torch.quantization.quantize_dynamic)
  * [ quantize_per_channel() (in module torch) ](generated/torch.quantize_per_channel.html#torch.quantize_per_channel)
  * [ quantize_per_tensor() (in module torch) ](generated/torch.quantize_per_tensor.html#torch.quantize_per_tensor)
  * [ quantize_qat() (in module torch.quantization) ](quantization.html#torch.quantization.quantize_qat)
  * [ QuantStub (class in torch.quantization) ](quantization.html#torch.quantization.QuantStub)
  * [ QuantWrapper (class in torch.quantization) ](quantization.html#torch.quantization.QuantWrapper)
  * [ query() (torch.cuda.Event method) ](cuda.html#torch.cuda.Event.query)
    * [ (torch.cuda.Stream method) ](cuda.html#torch.cuda.Stream.query)

  
---|---  
  
##  R

  * [ r2plus1d_18() (in module torchvision.models.video) ](torchvision/models.html#torchvision.models.video.r2plus1d_18)
  * [ r3d_18() (in module torchvision.models.video) ](torchvision/models.html#torchvision.models.video.r3d_18)
  * [ rad2deg() (in module torch) ](generated/torch.rad2deg.html#torch.rad2deg)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.rad2deg)
  * [ rand() (in module torch) ](generated/torch.rand.html#torch.rand)
  * [ rand_like() (in module torch) ](generated/torch.rand_like.html#torch.rand_like)
  * [ randint() (in module torch) ](generated/torch.randint.html#torch.randint)
  * [ randint_like() (in module torch) ](generated/torch.randint_like.html#torch.randint_like)
  * [ randn() (in module torch) ](generated/torch.randn.html#torch.randn)
  * [ randn_like() (in module torch) ](generated/torch.randn_like.html#torch.randn_like)
  * [ random_() (torch.Tensor method) ](tensors.html#torch.Tensor.random_)
  * [ random_split() (in module torch.utils.data) ](data.html#torch.utils.data.random_split)
  * [ random_structured() (in module torch.nn.utils.prune) ](generated/torch.nn.utils.prune.random_structured.html#torch.nn.utils.prune.random_structured)
  * [ random_u