ethod) ](distributions.html#torch.distributions.studentT.StudentT.expand)
    * [ (torch.distributions.transformed_distribution.TransformedDistribution method) ](distributions.html#torch.distributions.transformed_distribution.TransformedDistribution.expand)
    * [ (torch.distributions.uniform.Uniform method) ](distributions.html#torch.distributions.uniform.Uniform.expand)
    * [ (torch.distributions.von_mises.VonMises method) ](distributions.html#torch.distributions.von_mises.VonMises.expand)
    * [ (torch.distributions.weibull.Weibull method) ](distributions.html#torch.distributions.weibull.Weibull.expand)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.expand)
  * [ expand_as() (torch.Tensor method) ](tensors.html#torch.Tensor.expand_as)
  * [ expm1() (in module torch) ](generated/torch.expm1.html#torch.expm1)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.expm1)
  * [ expm1_() (torch.Tensor method) ](tensors.html#torch.Tensor.expm1_)
  * [ Exponential (class in torch.distributions.exponential) ](distributions.html#torch.distributions.exponential.Exponential)
  * [ exponential_() (torch.Tensor method) ](tensors.html#torch.Tensor.exponential_)
  * [ ExponentialFamily (class in torch.distributions.exp_family) ](distributions.html#torch.distributions.exp_family.ExponentialFamily)
  * [ ExponentialLR (class in torch.optim.lr_scheduler) ](optim.html#torch.optim.lr_scheduler.ExponentialLR)
  * [ export() (in module torch.jit) ](jit.html#torch.jit.export)
    * [ (in module torch.onnx) ](onnx.html#torch.onnx.export)
  * [ export_chrome_trace() (torch.autograd.profiler.profile method) ](autograd.html#torch.autograd.profiler.profile.export_chrome_trace)
  * [ export_to_pretty_string() (in module torch.onnx) ](onnx.html#torch.onnx.export_to_pretty_string)
  * [ ExpTransform (class in torch.distributions.transforms) ](distributions.html#torch.distributions.transforms.ExpTransform)
  * [ extend() (torch.nn.ModuleList method) ](generated/torch.nn.ModuleList.html#torch.nn.ModuleList.extend)
    * [ (torch.nn.ParameterList method) ](generated/torch.nn.ParameterList.html#torch.nn.ParameterList.extend)
  * [ extra_repr() (torch.jit.ScriptModule method) ](generated/torch.jit.ScriptModule.html#torch.jit.ScriptModule.extra_repr)
    * [ (torch.nn.Flatten method) ](generated/torch.nn.Flatten.html#torch.nn.Flatten.extra_repr)
    * [ (torch.nn.Module method) ](generated/torch.nn.Module.html#torch.nn.Module.extra_repr)
  * [ eye() (in module torch) ](generated/torch.eye.html#torch.eye)
  * [ eye_() (in module torch.nn.init) ](nn.init.html#torch.nn.init.eye_)

  
---|---  
  
##  F

  * [ FakeData (class in torchvision.datasets) ](torchvision/datasets.html#torchvision.datasets.FakeData)
  * [ FakeQuantize (class in torch.quantization) ](quantization.html#torch.quantization.FakeQuantize)
  * [ FashionMNIST (class in torchvision.datasets) ](torchvision/datasets.html#torchvision.datasets.FashionMNIST)
  * [ fast_forward() (torch.quasirandom.SobolEngine method) ](generated/torch.quasirandom.SobolEngine.html#torch.quasirandom.SobolEngine.fast_forward)
  * [ fasterrcnn_resnet50_fpn() (in module torchvision.models.detection) ](torchvision/models.html#torchvision.models.detection.fasterrcnn_resnet50_fpn)
  * [ fcn_resnet101() (in module torchvision.models.segmentation) ](torchvision/models.html#torchvision.models.segmentation.fcn_resnet101)
  * [ fcn_resnet50() (in module torchvision.models.segmentation) ](torchvision/models.html#torchvision.models.segmentation.fcn_resnet50)
  * [ feature_alpha_dropout() (in module torch.nn.functional) ](nn.functional.html#torch.nn.functional.feature_alpha_dropout)
  * [ FeaturePyramidNetwork (class in torchvision.ops) ](torchvision/ops.html#torchvision.ops.FeaturePyramidNetwork)
  * [ fft() (in module torch) ](generated/torch.fft.html#torch.fft)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.fft)
  * [ fill_() (torch.FloatStorage method) ](storage.html#torch.FloatStorage.fill_)
    * [ (