butions.negative_binomial.NegativeBinomial attribute) ](distributions.html#torch.distributions.negative_binomial.NegativeBinomial.logits)
    * [ (torch.distributions.relaxed_bernoulli.LogitRelaxedBernoulli attribute) ](distributions.html#torch.distributions.relaxed_bernoulli.LogitRelaxedBernoulli.logits)
  * [ logits() (torch.distributions.multinomial.Multinomial property) ](distributions.html#torch.distributions.multinomial.Multinomial.logits)
    * [ (torch.distributions.one_hot_categorical.OneHotCategorical property) ](distributions.html#torch.distributions.one_hot_categorical.OneHotCategorical.logits)
    * [ (torch.distributions.relaxed_bernoulli.RelaxedBernoulli property) ](distributions.html#torch.distributions.relaxed_bernoulli.RelaxedBernoulli.logits)
    * [ (torch.distributions.relaxed_categorical.RelaxedOneHotCategorical property) ](distributions.html#torch.distributions.relaxed_categorical.RelaxedOneHotCategorical.logits)
  * [ LogNormal (class in torch.distributions.log_normal) ](distributions.html#torch.distributions.log_normal.LogNormal)
  * [ LogSigmoid (class in torch.nn) ](generated/torch.nn.LogSigmoid.html#torch.nn.LogSigmoid)
  * [ logsigmoid() (in module torch.nn.functional) ](nn.functional.html#torch.nn.functional.logsigmoid)
  * [ LogSoftmax (class in torch.nn) ](generated/torch.nn.LogSoftmax.html#torch.nn.LogSoftmax)
  * [ logspace() (in module torch) ](generated/torch.logspace.html#torch.logspace)
  * [ logsumexp() (in module torch) ](generated/torch.logsumexp.html#torch.logsumexp)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.logsumexp)
  * [ long() (torch.FloatStorage method) ](storage.html#torch.FloatStorage.long)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.long)
  * [ LowerCholeskyTransform (class in torch.distributions.transforms) ](distributions.html#torch.distributions.transforms.LowerCholeskyTransform)
  * [ LowRankMultivariateNormal (class in torch.distributions.lowrank_multivariate_normal) ](distributions.html#torch.distributions.lowrank_multivariate_normal.LowRankMultivariateNormal)
  * [ lp_pool1d() (in module torch.nn.functional) ](nn.functional.html#torch.nn.functional.lp_pool1d)
  * [ lp_pool2d() (in module torch.nn.functional) ](nn.functional.html#torch.nn.functional.lp_pool2d)
  * [ LPPool1d (class in torch.nn) ](generated/torch.nn.LPPool1d.html#torch.nn.LPPool1d)
  * [ LPPool2d (class in torch.nn) ](generated/torch.nn.LPPool2d.html#torch.nn.LPPool2d)
  * [ LSTM (class in torch.nn) ](generated/torch.nn.LSTM.html#torch.nn.LSTM)
    * [ (class in torch.nn.quantized.dynamic) ](quantization.html#torch.nn.quantized.dynamic.LSTM)
  * [ LSTMCell (class in torch.nn) ](generated/torch.nn.LSTMCell.html#torch.nn.LSTMCell)
  * [ lstsq() (in module torch) ](generated/torch.lstsq.html#torch.lstsq)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.lstsq)
  * [ LSUN (class in torchvision.datasets) ](torchvision/datasets.html#torchvision.datasets.LSUN)
  * [ lt() (in module torch) ](generated/torch.lt.html#torch.lt)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.lt)
  * [ lt_() (torch.Tensor method) ](tensors.html#torch.Tensor.lt_)
  * [ lu() (in module torch) ](generated/torch.lu.html#torch.lu)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.lu)
  * [ lu_solve() (in module torch) ](generated/torch.lu_solve.html#torch.lu_solve)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.lu_solve)
  * [ lu_unpack() (in module torch) ](generated/torch.lu_unpack.html#torch.lu_unpack)

  
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##  M

  * [ make_grid() (in module torchvision.utils) ](torchvision/utils.html#torchvision.utils.make_grid)
  * [ manual_seed() (in module torch) ](generated/torch.manual_seed.html#torch.manual_seed)
    * [ (in module torch.cuda) ](cuda.html#torch.cuda.manual_seed)
    * [ (in module torch.random) ](random.html#torch.random.manual_seed)
    * [ (torch.Generator method) ](generated/torch.Generator.html#torch.Generator.manual_seed)
  * [ manual_seed_all()