size() (torch.FloatStorage method) ](storage.html#torch.FloatStorage.element_size)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.element_size)
  * [ ELU (class in torch.nn) ](generated/torch.nn.ELU.html#torch.nn.ELU)
    * [ (class in torch.nn.quantized) ](quantization.html#torch.nn.quantized.ELU)
  * [ elu() (in module torch.nn.functional) ](nn.functional.html#torch.nn.functional.elu)
  * [ elu_() (in module torch.nn.functional) ](nn.functional.html#torch.nn.functional.elu_)
  * [ Embedding (class in torch.nn) ](generated/torch.nn.Embedding.html#torch.nn.Embedding)
  * [ embedding() (in module torch.nn.functional) ](nn.functional.html#torch.nn.functional.embedding)
  * [ embedding_bag() (in module torch.nn.functional) ](nn.functional.html#torch.nn.functional.embedding_bag)
  * [ EmbeddingBag (class in torch.nn) ](generated/torch.nn.EmbeddingBag.html#torch.nn.EmbeddingBag)
  * [ emit_nvtx (class in torch.autograd.profiler) ](autograd.html#torch.autograd.profiler.emit_nvtx)
  * [ EMNIST (class in torchvision.datasets) ](torchvision/datasets.html#torchvision.datasets.EMNIST)
  * [ empty() (in module torch) ](generated/torch.empty.html#torch.empty)
  * [ empty_cache() (in module torch.cuda) ](cuda.html#torch.cuda.empty_cache)
  * [ empty_like() (in module torch) ](generated/torch.empty_like.html#torch.empty_like)
  * [ empty_strided() (in module torch) ](generated/torch.empty_strided.html#torch.empty_strided)
  * [ enable_grad (class in torch) ](generated/torch.enable_grad.html#torch.enable_grad)
    * [ (class in torch.autograd) ](autograd.html#torch.autograd.enable_grad)
  * [ entropy() (torch.distributions.bernoulli.Bernoulli method) ](distributions.html#torch.distributions.bernoulli.Bernoulli.entropy)
    * [ (torch.distributions.beta.Beta method) ](distributions.html#torch.distributions.beta.Beta.entropy)
    * [ (torch.distributions.categorical.Categorical method) ](distributions.html#torch.distributions.categorical.Categorical.entropy)
    * [ (torch.distributions.cauchy.Cauchy method) ](distributions.html#torch.distributions.cauchy.Cauchy.entropy)
    * [ (torch.distributions.continuous_bernoulli.ContinuousBernoulli method) ](distributions.html#torch.distributions.continuous_bernoulli.ContinuousBernoulli.entropy)
    * [ (torch.distributions.dirichlet.Dirichlet method) ](distributions.html#torch.distributions.dirichlet.Dirichlet.entropy)
    * [ (torch.distributions.distribution.Distribution method) ](distributions.html#torch.distributions.distribution.Distribution.entropy)
    * [ (torch.distributions.exp_family.ExponentialFamily method) ](distributions.html#torch.distributions.exp_family.ExponentialFamily.entropy)
    * [ (torch.distributions.exponential.Exponential method) ](distributions.html#torch.distributions.exponential.Exponential.entropy)
    * [ (torch.distributions.gamma.Gamma method) ](distributions.html#torch.distributions.gamma.Gamma.entropy)
    * [ (torch.distributions.geometric.Geometric method) ](distributions.html#torch.distributions.geometric.Geometric.entropy)
    * [ (torch.distributions.gumbel.Gumbel method) ](distributions.html#torch.distributions.gumbel.Gumbel.entropy)
    * [ (torch.distributions.half_cauchy.HalfCauchy method) ](distributions.html#torch.distributions.half_cauchy.HalfCauchy.entropy)
    * [ (torch.distributions.half_normal.HalfNormal method) ](distributions.html#torch.distributions.half_normal.HalfNormal.entropy)
    * [ (torch.distributions.independent.Independent method) ](distributions.html#torch.distributions.independent.Independent.entropy)
    * [ (torch.distributions.laplace.Laplace method) ](distributions.html#torch.distributions.laplace.Laplace.entropy)
    * [ (torch.distributions.log_normal.LogNormal method) ](distributions.html#torch.distributions.log_normal.LogNormal.entropy)
    * [ (torch.distributions.lowrank_multivariate_normal.LowRankMultivariateNormal method) ](distributions.html#torch.distributions.lowrank_multivariate_normal.LowRankMultivariateNor