ute) ](distributions.html#torch.distributions.half_normal.HalfNormal.arg_constraints)
    * [ (torch.distributions.independent.Independent attribute) ](distributions.html#torch.distributions.independent.Independent.arg_constraints)
    * [ (torch.distributions.laplace.Laplace attribute) ](distributions.html#torch.distributions.laplace.Laplace.arg_constraints)
    * [ (torch.distributions.log_normal.LogNormal attribute) ](distributions.html#torch.distributions.log_normal.LogNormal.arg_constraints)
    * [ (torch.distributions.lowrank_multivariate_normal.LowRankMultivariateNormal attribute) ](distributions.html#torch.distributions.lowrank_multivariate_normal.LowRankMultivariateNormal.arg_constraints)
    * [ (torch.distributions.mixture_same_family.MixtureSameFamily attribute) ](distributions.html#torch.distributions.mixture_same_family.MixtureSameFamily.arg_constraints)
    * [ (torch.distributions.multinomial.Multinomial attribute) ](distributions.html#torch.distributions.multinomial.Multinomial.arg_constraints)
    * [ (torch.distributions.multivariate_normal.MultivariateNormal attribute) ](distributions.html#torch.distributions.multivariate_normal.MultivariateNormal.arg_constraints)
    * [ (torch.distributions.negative_binomial.NegativeBinomial attribute) ](distributions.html#torch.distributions.negative_binomial.NegativeBinomial.arg_constraints)
    * [ (torch.distributions.normal.Normal attribute) ](distributions.html#torch.distributions.normal.Normal.arg_constraints)
    * [ (torch.distributions.one_hot_categorical.OneHotCategorical attribute) ](distributions.html#torch.distributions.one_hot_categorical.OneHotCategorical.arg_constraints)
    * [ (torch.distributions.pareto.Pareto attribute) ](distributions.html#torch.distributions.pareto.Pareto.arg_constraints)
    * [ (torch.distributions.poisson.Poisson attribute) ](distributions.html#torch.distributions.poisson.Poisson.arg_constraints)
    * [ (torch.distributions.relaxed_bernoulli.LogitRelaxedBernoulli attribute) ](distributions.html#torch.distributions.relaxed_bernoulli.LogitRelaxedBernoulli.arg_constraints)
    * [ (torch.distributions.relaxed_bernoulli.RelaxedBernoulli attribute) ](distributions.html#torch.distributions.relaxed_bernoulli.RelaxedBernoulli.arg_constraints)
    * [ (torch.distributions.relaxed_categorical.RelaxedOneHotCategorical attribute) ](distributions.html#torch.distributions.relaxed_categorical.RelaxedOneHotCategorical.arg_constraints)
    * [ (torch.distributions.studentT.StudentT attribute) ](distributions.html#torch.distributions.studentT.StudentT.arg_constraints)
    * [ (torch.distributions.transformed_distribution.TransformedDistribution attribute) ](distributions.html#torch.distributions.transformed_distribution.TransformedDistribution.arg_constraints)
    * [ (torch.distributions.uniform.Uniform attribute) ](distributions.html#torch.distributions.uniform.Uniform.arg_constraints)
    * [ (torch.distributions.von_mises.VonMises attribute) ](distributions.html#torch.distributions.von_mises.VonMises.arg_constraints)
    * [ (torch.distributions.weibull.Weibull attribute) ](distributions.html#torch.distributions.weibull.Weibull.arg_constraints)
  * [ arg_constraints() (torch.distributions.distribution.Distribution property) ](distributions.html#torch.distributions.distribution.Distribution.arg_constraints)
  * [ argmax() (in module torch) ](generated/torch.argmax.html#torch.argmax) , [ [1] ](generated/torch.argmax.html#torch.argmax)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.argmax)
  * [ argmin() (in module torch) ](generated/torch.argmin.html#torch.argmin) , [ [1] ](generated/torch.argmin.html#torch.argmin)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.argmin)
  * [ argsort() (in module torch) ](generated/torch.argsort.html#torch.argsort)
    * [ (torch.Tensor method) ](tensors.html#torch.Tensor.argsort)
  * [ as_strided() (in module torch) ](generated/torch.as_strided.html#torch.as_strided)
    * [ (torch.Tensor