.nn.functional) ](nn.functional.html#torch.nn.functional.adaptive_avg_pool1d)
  * [ adaptive_avg_pool2d() (in module torch.nn.functional) ](nn.functional.html#torch.nn.functional.adaptive_avg_pool2d)
    * [ (in module torch.nn.quantized.functional) ](quantization.html#torch.nn.quantized.functional.adaptive_avg_pool2d)
  * [ adaptive_avg_pool3d() (in module torch.nn.functional) ](nn.functional.html#torch.nn.functional.adaptive_avg_pool3d)
  * [ adaptive_max_pool1d() (in module torch.nn.functional) ](nn.functional.html#torch.nn.functional.adaptive_max_pool1d)
  * [ adaptive_max_pool2d() (in module torch.nn.functional) ](nn.functional.html#torch.nn.functional.adaptive_max_pool2d)
  * [ adaptive_max_pool3d() (in module torch.nn.functional) ](nn.functional.html#torch.nn.functional.adaptive_max_pool3d)
  * [ AdaptiveAvgPool1d (class in torch.nn) ](generated/torch.nn.AdaptiveAvgPool1d.html#torch.nn.AdaptiveAvgPool1d)
  * [ AdaptiveAvgPool2d (class in torch.nn) ](generated/torch.nn.AdaptiveAvgPool2d.html#torch.nn.AdaptiveAvgPool2d)
  * [ AdaptiveAvgPool3d (class in torch.nn) ](generated/torch.nn.AdaptiveAvgPool3d.html#torch.nn.AdaptiveAvgPool3d)
  * [ AdaptiveLogSoftmaxWithLoss (class in torch.nn) ](generated/torch.nn.AdaptiveLogSoftmaxWithLoss.html#torch.nn.AdaptiveLogSoftmaxWithLoss)
  * [ AdaptiveMaxPool1d (class in torch.nn) ](generated/torch.nn.AdaptiveMaxPool1d.html#torch.nn.AdaptiveMaxPool1d)
  * [ AdaptiveMaxPool2d (class in torch.nn) ](generated/torch.nn.AdaptiveMaxPool2d.html#torch.nn.AdaptiveMaxPool2d)
  * [ AdaptiveMaxPool3d (class in torch.nn) ](generated/torch.nn.AdaptiveMaxPool3d.html#torch.nn.AdaptiveMaxPool3d)
  * [ add() (in module torch) ](generated/torch.add.html#torch.add) , [ [1] ](generated/torch.add.html#torch.add)
    * [ (torch.sparse.FloatTensor method) ](sparse.html#torch.sparse.FloatTensor.add)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.add)
  * [ add_() (torch.sparse.FloatTensor method) ](sparse.html#torch.sparse.FloatTensor.add_)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.add_)
  * [ add_module() (torch.jit.ScriptModule method) ](generated/torch.jit.ScriptModule.html#torch.jit.ScriptModule.add_module)
    * [ (torch.nn.Flatten method) ](generated/torch.nn.Flatten.html#torch.nn.Flatten.add_module)
    * [ (torch.nn.Module method) ](generated/torch.nn.Module.html#torch.nn.Module.add_module)
  * [ add_observer_() (in module torch.quantization) ](quantization.html#torch.quantization.add_observer_)
  * [ add_param_group() (torch.optim.Optimizer method) ](optim.html#torch.optim.Optimizer.add_param_group)
  * [ add_pruning_method() (torch.nn.utils.prune.PruningContainer method) ](generated/torch.nn.utils.prune.PruningContainer.html#torch.nn.utils.prune.PruningContainer.add_pruning_method)
  * [ add_quant_dequant() (in module torch.quantization) ](quantization.html#torch.quantization.add_quant_dequant)
  * [ addbmm() (in module torch) ](generated/torch.addbmm.html#torch.addbmm)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.addbmm)
  * [ addbmm_() (torch.Tensor method) ](tensors.html#torch.Tensor.addbmm_)
  * [ addcdiv() (in module torch) ](generated/torch.addcdiv.html#torch.addcdiv)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.addcdiv)
  * [ addcdiv_() (torch.Tensor method) ](tensors.html#torch.Tensor.addcdiv_)
  * [ addcmul() (in module torch) ](generated/torch.addcmul.html#torch.addcmul)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.addcmul)
  * [ addcmul_() (torch.Tensor method) ](tensors.html#torch.Tensor.addcmul_)
  * [ addmm() (in module torch) ](generated/torch.addmm.html#torch.addmm)
    * [ (in module torch.sparse) ](sparse.html#torch.sparse.addmm)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.addmm)
  * [ addmm_() (torch.Tensor method) ](tensors.html#torch.Tensor.addmm_)
  * [ addmv() (in module torch) ](generated/torch.addmv.html#torch.addmv)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.addmv)
  * [ addmv_() (