torch.Tensor method) ](tensors.html#torch.Tensor.fill_)
  * [ fill_diagonal_() (torch.Tensor method) ](tensors.html#torch.Tensor.fill_diagonal_)
  * [ FisherSnedecor (class in torch.distributions.fishersnedecor) ](distributions.html#torch.distributions.fishersnedecor.FisherSnedecor)
  * [ five_crop() (in module torchvision.transforms.functional) ](torchvision/transforms.html#torchvision.transforms.functional.five_crop)
  * [ FiveCrop (class in torchvision.transforms) ](torchvision/transforms.html#torchvision.transforms.FiveCrop)
  * [ Flatten (class in torch.nn) ](generated/torch.nn.Flatten.html#torch.nn.Flatten)
  * [ flatten() (in module torch) ](generated/torch.flatten.html#torch.flatten)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.flatten)
  * [ Flatten.to() (in module torch.nn) ](generated/torch.nn.Flatten.html#torch.nn.Flatten.to) , [ [1] ](generated/torch.nn.Flatten.html#torch.nn.Flatten.to) , [ [2] ](generated/torch.nn.Flatten.html#torch.nn.Flatten.to) , [ [3] ](generated/torch.nn.Flatten.html#torch.nn.Flatten.to)
  * [ flatten_parameters() (torch.nn.RNNBase method) ](generated/torch.nn.RNNBase.html#torch.nn.RNNBase.flatten_parameters)
  * [ Flickr30k (class in torchvision.datasets) ](torchvision/datasets.html#torchvision.datasets.Flickr30k)
  * [ Flickr8k (class in torchvision.datasets) ](torchvision/datasets.html#torchvision.datasets.Flickr8k)
  * [ flip() (in module torch) ](generated/torch.flip.html#torch.flip)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.flip)
  * [ fliplr() (in module torch) ](generated/torch.fliplr.html#torch.fliplr)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.fliplr)
  * [ flipud() (in module torch) ](generated/torch.flipud.html#torch.flipud)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.flipud)
  * [ float() (torch.FloatStorage method) ](storage.html#torch.FloatStorage.float)
    * [ (torch.jit.ScriptModule method) ](generated/torch.jit.ScriptModule.html#torch.jit.ScriptModule.float)
    * [ (torch.nn.Flatten method) ](generated/torch.nn.Flatten.html#torch.nn.Flatten.float)
    * [ (torch.nn.Module method) ](generated/torch.nn.Module.html#torch.nn.Module.float)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.float)
  * [ FloatFunctional (class in torch.nn.quantized) ](quantization.html#torch.nn.quantized.FloatFunctional)
  * [ FloatStorage (class in torch) ](storage.html#torch.FloatStorage)
  * [ FloatTensor (class in torch.sparse) ](sparse.html#torch.sparse.FloatTensor)
  * [ floor() (in module torch) ](generated/torch.floor.html#torch.floor)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.floor)
  * [ floor_() (torch.Tensor method) ](tensors.html#torch.Tensor.floor_)

|

  * [ floor_divide() (in module torch) ](generated/torch.floor_divide.html#torch.floor_divide)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.floor_divide)
  * [ floor_divide_() (torch.Tensor method) ](tensors.html#torch.Tensor.floor_divide_)
  * [ fmod() (in module torch) ](generated/torch.fmod.html#torch.fmod)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.fmod)
  * [ fmod_() (torch.Tensor method) ](tensors.html#torch.Tensor.fmod_)
  * [ Fold (class in torch.nn) ](generated/torch.nn.Fold.html#torch.nn.Fold)
  * [ fold() (in module torch.nn.functional) ](nn.functional.html#torch.nn.functional.fold)
  * [ fork() (in module torch.jit) ](generated/torch.jit.fork.html#torch.jit.fork)
  * [ fork_rng() (in module torch.random) ](random.html#torch.random.fork_rng)
  * [ forward() (torch.autograd.Function static method) ](autograd.html#torch.autograd.Function.forward)
    * [ (torch.nn.MultiheadAttention method) ](generated/torch.nn.MultiheadAttention.html#torch.nn.MultiheadAttention.forward)
    * [ (torch.nn.Transformer method) ](generated/torch.nn.Transformer.html#torch.nn.Transformer.forward)
    * [ (torch.nn.TransformerDecoder method) ](generated/torch.nn.TransformerDecoder.html#torch.nn.TransformerDecoder.forward)
    * [ (torch.nn