method) ](tensors.html#torch.Tensor.as_strided)
  * [ as_subclass() (torch.Tensor method) ](tensors.html#torch.Tensor.as_subclass)
  * [ as_tensor() (in module torch) ](generated/torch.as_tensor.html#torch.as_tensor)
  * [ ASGD (class in torch.optim) ](optim.html#torch.optim.ASGD)
  * [ asin() (in module torch) ](generated/torch.asin.html#torch.asin)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.asin)
  * [ asin_() (torch.Tensor method) ](tensors.html#torch.Tensor.asin_)
  * [ asinh() (in module torch) ](generated/torch.asinh.html#torch.asinh)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.asinh)
  * [ asinh_() (torch.Tensor method) ](tensors.html#torch.Tensor.asinh_)
  * [ async_execution() (in module torch.distributed.rpc.functions) ](rpc.html#torch.distributed.rpc.functions.async_execution)
  * [ atan() (in module torch) ](generated/torch.atan.html#torch.atan)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.atan)
  * [ atan2() (in module torch) ](generated/torch.atan2.html#torch.atan2)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.atan2)
  * [ atan2_() (torch.Tensor method) ](tensors.html#torch.Tensor.atan2_)
  * [ atan_() (torch.Tensor method) ](tensors.html#torch.Tensor.atan_)
  * [ atanh() (in module torch) ](generated/torch.atanh.html#torch.atanh)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.atanh)
  * [ atanh_() (torch.Tensor method) ](tensors.html#torch.Tensor.atanh_)
  * [ autocast (class in torch.cuda.amp) ](amp.html#torch.cuda.amp.autocast)
  * [ avg_pool1d() (in module torch.nn.functional) ](nn.functional.html#torch.nn.functional.avg_pool1d)
  * [ avg_pool2d() (in module torch.nn.functional) ](nn.functional.html#torch.nn.functional.avg_pool2d)
    * [ (in module torch.nn.quantized.functional) ](quantization.html#torch.nn.quantized.functional.avg_pool2d)
  * [ avg_pool3d() (in module torch.nn.functional) ](nn.functional.html#torch.nn.functional.avg_pool3d)
  * [ AvgPool1d (class in torch.nn) ](generated/torch.nn.AvgPool1d.html#torch.nn.AvgPool1d)
  * [ AvgPool2d (class in torch.nn) ](generated/torch.nn.AvgPool2d.html#torch.nn.AvgPool2d)
  * [ AvgPool3d (class in torch.nn) ](generated/torch.nn.AvgPool3d.html#torch.nn.AvgPool3d)

  
---|---  
  
##  B

  * [ Backend (class in torch.distributed) ](distributed.html#torch.distributed.Backend)
  * [ BackendType (class in torch.distributed.rpc) ](rpc.html#torch.distributed.rpc.BackendType)
  * [ backward() (in module torch.autograd) ](autograd.html#torch.autograd.backward)
    * [ (in module torch.distributed.autograd) ](rpc.html#torch.distributed.autograd.backward)
    * [ (torch.autograd.Function static method) ](autograd.html#torch.autograd.Function.backward)
    * [ (torch.Tensor method) ](autograd.html#torch.Tensor.backward)
  * [ baddbmm() (in module torch) ](generated/torch.baddbmm.html#torch.baddbmm)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.baddbmm)
  * [ baddbmm_() (torch.Tensor method) ](tensors.html#torch.Tensor.baddbmm_)
  * [ barrier() (in module torch.distributed) ](distributed.html#torch.distributed.barrier)
  * [ bartlett_window() (in module torch) ](generated/torch.bartlett_window.html#torch.bartlett_window)
  * [ BasePruningMethod (class in torch.nn.utils.prune) ](generated/torch.nn.utils.prune.BasePruningMethod.html#torch.nn.utils.prune.BasePruningMethod)
  * [ batch_norm() (in module torch.nn.functional) ](nn.functional.html#torch.nn.functional.batch_norm)
  * [ batch_shape() (torch.distributions.distribution.Distribution property) ](distributions.html#torch.distributions.distribution.Distribution.batch_shape)
  * [ batch_sizes() (torch.nn.utils.rnn.PackedSequence property) ](generated/torch.nn.utils.rnn.PackedSequence.html#torch.nn.utils.rnn.PackedSequence.batch_sizes)
  * [ BatchNorm1d (class in torch.nn) ](generated/torch.nn.BatchNorm1d.html#torch.nn.BatchNorm1d)
  * [ BatchNorm2d (class in torch.nn) ](generated/torch.nn.BatchNorm2d.html#torch.nn.BatchNorm2d)
    * [ (class