若API未标明支持情况则代表该API暂无验证结果,待验证后更新表格。
API名称 |
是否支持 |
限制与说明 |
---|---|---|
torch.distributions.distribution.Distribution |
||
torch.distributions.distribution.Distribution.arg_constraints |
||
torch.distributions.distribution.Distribution.batch_shape |
||
torch.distributions.distribution.Distribution.cdf |
||
torch.distributions.distribution.Distribution.entropy |
||
torch.distributions.distribution.Distribution.enumerate_support |
||
torch.distributions.distribution.Distribution.event_shape |
||
torch.distributions.distribution.Distribution.expand |
||
torch.distributions.distribution.Distribution.icdf |
||
torch.distributions.distribution.Distribution.log_prob |
||
torch.distributions.distribution.Distribution.mean |
||
torch.distributions.distribution.Distribution.mode |
||
torch.distributions.distribution.Distribution.perplexity |
||
torch.distributions.distribution.Distribution.rsample |
||
torch.distributions.distribution.Distribution.sample |
||
torch.distributions.distribution.Distribution.sample_n |
||
torch.distributions.distribution.Distribution.set_default_validate_args |
||
torch.distributions.distribution.Distribution.stddev |
||
torch.distributions.distribution.Distribution.support |
||
torch.distributions.distribution.Distribution.variance |
||
torch.distributions.exp_family.ExponentialFamily |
||
torch.distributions.exp_family.ExponentialFamily.entropy |
||
torch.distributions.bernoulli.Bernoulli |
||
torch.distributions.bernoulli.Bernoulli.arg_constraints |
||
torch.distributions.bernoulli.Bernoulli.entropy |
||
torch.distributions.bernoulli.Bernoulli.enumerate_support |
||
torch.distributions.bernoulli.Bernoulli.expand |
||
torch.distributions.bernoulli.Bernoulli.has_enumerate_support |
||
torch.distributions.bernoulli.Bernoulli.log_prob |
否 |
|
torch.distributions.bernoulli.Bernoulli.logits |
否 |
|
torch.distributions.bernoulli.Bernoulli.mean |
||
torch.distributions.bernoulli.Bernoulli.mode |
否 |
|
torch.distributions.bernoulli.Bernoulli.param_shape |
||
torch.distributions.bernoulli.Bernoulli.probs |
||
torch.distributions.bernoulli.Bernoulli.sample |
否 |
|
torch.distributions.bernoulli.Bernoulli.support |
||
torch.distributions.bernoulli.Bernoulli.variance |
||
torch.distributions.beta.Beta |
||
torch.distributions.beta.Beta.arg_constraints |
||
torch.distributions.beta.Beta.concentration0 |
||
torch.distributions.beta.Beta.concentration1 |
||
torch.distributions.beta.Beta.entropy |
||
torch.distributions.beta.Beta.expand |
||
torch.distributions.beta.Beta.has_rsample |
||
torch.distributions.beta.Beta.log_prob |
||
torch.distributions.beta.Beta.mean |
||
torch.distributions.beta.Beta.mode |
||
torch.distributions.beta.Beta.rsample |
||
torch.distributions.beta.Beta.support |
||
torch.distributions.beta.Beta.variance |
||
torch.distributions.binomial.Binomial |
||
torch.distributions.binomial.Binomial.arg_constraints |
||
torch.distributions.binomial.Binomial.entropy |
||
torch.distributions.binomial.Binomial.enumerate_support |
||
torch.distributions.binomial.Binomial.expand |
||
torch.distributions.binomial.Binomial.has_enumerate_support |
||
torch.distributions.binomial.Binomial.log_prob |
||
torch.distributions.binomial.Binomial.logits |
||
torch.distributions.binomial.Binomial.mean |
||
torch.distributions.binomial.Binomial.mode |
||
torch.distributions.binomial.Binomial.param_shape |
||
torch.distributions.binomial.Binomial.probs |
||
torch.distributions.binomial.Binomial.sample |
否 |
|
torch.distributions.binomial.Binomial.support |
||
torch.distributions.binomial.Binomial.variance |
||
torch.distributions.categorical.Categorical |
||
torch.distributions.categorical.Categorical.arg_constraints |
||
torch.distributions.categorical.Categorical.entropy |
||
torch.distributions.categorical.Categorical.enumerate_support |
||
torch.distributions.categorical.Categorical.expand |
||
torch.distributions.categorical.Categorical.has_enumerate_support |
||
torch.distributions.categorical.Categorical.log_prob |
||
torch.distributions.categorical.Categorical.logits |
||
torch.distributions.categorical.Categorical.mean |
||
torch.distributions.categorical.Categorical.mode |
||
torch.distributions.categorical.Categorical.param_shape |
||
torch.distributions.categorical.Categorical.probs |
||
torch.distributions.categorical.Categorical.sample |
||
torch.distributions.categorical.Categorical.support |
||
torch.distributions.categorical.Categorical.variance |
||
torch.distributions.cauchy.Cauchy |
||
torch.distributions.cauchy.Cauchy.arg_constraints |
||
torch.distributions.cauchy.Cauchy.cdf |
否 |
|
torch.distributions.cauchy.Cauchy.entropy |
||
torch.distributions.cauchy.Cauchy.expand |
||
torch.distributions.cauchy.Cauchy.has_rsample |
||
torch.distributions.cauchy.Cauchy.icdf |
否 |
|
torch.distributions.cauchy.Cauchy.log_prob |
||
torch.distributions.cauchy.Cauchy.mean |
||
torch.distributions.cauchy.Cauchy.mode |
||
torch.distributions.cauchy.Cauchy.rsample |
||
torch.distributions.cauchy.Cauchy.support |
||
torch.distributions.cauchy.Cauchy.variance |
||
torch.distributions.chi2.Chi2 |
||
torch.distributions.chi2.Chi2.arg_constraints |
||
torch.distributions.chi2.Chi2.df |
||
torch.distributions.chi2.Chi2.expand |
||
torch.distributions.continuous_bernoulli.ContinuousBernoulli |
||
torch.distributions.continuous_bernoulli.ContinuousBernoulli.arg_constraints |
||
torch.distributions.continuous_bernoulli.ContinuousBernoulli.cdf |
否 |
|
torch.distributions.continuous_bernoulli.ContinuousBernoulli.entropy |
||
torch.distributions.continuous_bernoulli.ContinuousBernoulli.expand |
||
torch.distributions.continuous_bernoulli.ContinuousBernoulli.has_rsample |
||
torch.distributions.continuous_bernoulli.ContinuousBernoulli.icdf |
否 |
|
torch.distributions.continuous_bernoulli.ContinuousBernoulli.log_prob |
否 |
|
torch.distributions.continuous_bernoulli.ContinuousBernoulli.logits |
||
torch.distributions.continuous_bernoulli.ContinuousBernoulli.mean |
否 |
|
torch.distributions.continuous_bernoulli.ContinuousBernoulli.param_shape |
||
torch.distributions.continuous_bernoulli.ContinuousBernoulli.probs |
||
torch.distributions.continuous_bernoulli.ContinuousBernoulli.rsample |
||
torch.distributions.continuous_bernoulli.ContinuousBernoulli.sample |
||
torch.distributions.continuous_bernoulli.ContinuousBernoulli.stddev |
否 |
|
torch.distributions.continuous_bernoulli.ContinuousBernoulli.support |
||
torch.distributions.continuous_bernoulli.ContinuousBernoulli.variance |
否 |
|
torch.distributions.dirichlet.Dirichlet |
||
torch.distributions.dirichlet.Dirichlet.arg_constraints |
||
torch.distributions.dirichlet.Dirichlet.entropy |
||
torch.distributions.dirichlet.Dirichlet.expand |
||
torch.distributions.dirichlet.Dirichlet.has_rsample |
||
torch.distributions.dirichlet.Dirichlet.log_prob |
||
torch.distributions.dirichlet.Dirichlet.mean |
||
torch.distributions.dirichlet.Dirichlet.mode |
||
torch.distributions.dirichlet.Dirichlet.rsample |
||
torch.distributions.dirichlet.Dirichlet.support |
||
torch.distributions.dirichlet.Dirichlet.variance |
||
torch.distributions.exponential.Exponential |
||
torch.distributions.exponential.Exponential.arg_constraints |
||
torch.distributions.exponential.Exponential.cdf |
||
torch.distributions.exponential.Exponential.entropy |
||
torch.distributions.exponential.Exponential.expand |
||
torch.distributions.exponential.Exponential.has_rsample |
||
torch.distributions.exponential.Exponential.icdf |
||
torch.distributions.exponential.Exponential.log_prob |
||
torch.distributions.exponential.Exponential.mean |
||
torch.distributions.exponential.Exponential.mode |
||
torch.distributions.exponential.Exponential.rsample |
||
torch.distributions.exponential.Exponential.stddev |
||
torch.distributions.exponential.Exponential.support |
||
torch.distributions.exponential.Exponential.variance |
否 |
|
torch.distributions.fishersnedecor.FisherSnedecor |
||
torch.distributions.fishersnedecor.FisherSnedecor.arg_constraints |
||
torch.distributions.fishersnedecor.FisherSnedecor.expand |
||
torch.distributions.fishersnedecor.FisherSnedecor.has_rsample |
||
torch.distributions.fishersnedecor.FisherSnedecor.log_prob |
||
torch.distributions.fishersnedecor.FisherSnedecor.mean |
||
torch.distributions.fishersnedecor.FisherSnedecor.mode |
||
torch.distributions.fishersnedecor.FisherSnedecor.rsample |
||
torch.distributions.fishersnedecor.FisherSnedecor.support |
||
torch.distributions.fishersnedecor.FisherSnedecor.variance |
||
torch.distributions.gamma.Gamma |
||
torch.distributions.gamma.Gamma.arg_constraints |
||
torch.distributions.gamma.Gamma.cdf |
||
torch.distributions.gamma.Gamma.entropy |
||
torch.distributions.gamma.Gamma.expand |
||
torch.distributions.gamma.Gamma.has_rsample |
||
torch.distributions.gamma.Gamma.log_prob |
||
torch.distributions.gamma.Gamma.mean |
||
torch.distributions.gamma.Gamma.mode |
||
torch.distributions.gamma.Gamma.rsample |
||
torch.distributions.gamma.Gamma.support |
||
torch.distributions.gamma.Gamma.variance |
||
torch.distributions.geometric.Geometric |
||
torch.distributions.geometric.Geometric.arg_constraints |
||
torch.distributions.geometric.Geometric.entropy |
||
torch.distributions.geometric.Geometric.expand |
||
torch.distributions.geometric.Geometric.log_prob |
否 |
|
torch.distributions.geometric.Geometric.logits |
||
torch.distributions.geometric.Geometric.mean |
||
torch.distributions.geometric.Geometric.mode |
||
torch.distributions.geometric.Geometric.probs |
||
torch.distributions.geometric.Geometric.sample |
||
torch.distributions.geometric.Geometric.support |
||
torch.distributions.geometric.Geometric.variance |
||
torch.distributions.gumbel.Gumbel |
||
torch.distributions.gumbel.Gumbel.arg_constraints |
||
torch.distributions.gumbel.Gumbel.entropy |
||
torch.distributions.gumbel.Gumbel.expand |
||
torch.distributions.gumbel.Gumbel.log_prob |
||
torch.distributions.gumbel.Gumbel.mean |
否 |
|
torch.distributions.gumbel.Gumbel.mode |
||
torch.distributions.gumbel.Gumbel.stddev |
否 |
|
torch.distributions.gumbel.Gumbel.support |
||
torch.distributions.gumbel.Gumbel.variance |
否 |
|
torch.distributions.half_cauchy.HalfCauchy |
||
torch.distributions.half_cauchy.HalfCauchy.arg_constraints |
||
torch.distributions.half_cauchy.HalfCauchy.cdf |
||
torch.distributions.half_cauchy.HalfCauchy.entropy |
||
torch.distributions.half_cauchy.HalfCauchy.expand |
||
torch.distributions.half_cauchy.HalfCauchy.has_rsample |
||
torch.distributions.half_cauchy.HalfCauchy.icdf |
否 |
|
torch.distributions.half_cauchy.HalfCauchy.log_prob |
||
torch.distributions.half_cauchy.HalfCauchy.mean |
||
torch.distributions.half_cauchy.HalfCauchy.mode |
||
torch.distributions.half_cauchy.HalfCauchy.scale |
||
torch.distributions.half_cauchy.HalfCauchy.support |
||
torch.distributions.half_cauchy.HalfCauchy.variance |
||
torch.distributions.half_normal.HalfNormal |
||
torch.distributions.half_normal.HalfNormal.arg_constraints |
||
torch.distributions.half_normal.HalfNormal.cdf |
||
torch.distributions.half_normal.HalfNormal.entropy |
||
torch.distributions.half_normal.HalfNormal.expand |
||
torch.distributions.half_normal.HalfNormal.has_rsample |
||
torch.distributions.half_normal.HalfNormal.icdf |
||
torch.distributions.half_normal.HalfNormal.log_prob |
||
torch.distributions.half_normal.HalfNormal.mean |
否 |
|
torch.distributions.half_normal.HalfNormal.mode |
||
torch.distributions.half_normal.HalfNormal.scale |
||
torch.distributions.half_normal.HalfNormal.support |
||
torch.distributions.half_normal.HalfNormal.variance |
否 |
|
torch.distributions.independent.Independent |
||
torch.distributions.independent.Independent.arg_constraints |
||
torch.distributions.independent.Independent.entropy |
||
torch.distributions.independent.Independent.enumerate_support |
||
torch.distributions.independent.Independent.expand |
||
torch.distributions.independent.Independent.has_enumerate_support |
||
torch.distributions.independent.Independent.has_rsample |
||
torch.distributions.independent.Independent.log_prob |
||
torch.distributions.independent.Independent.mean |
||
torch.distributions.independent.Independent.mode |
||
torch.distributions.independent.Independent.rsample |
||
torch.distributions.independent.Independent.sample |
||
torch.distributions.independent.Independent.support |
||
torch.distributions.independent.Independent.variance |
||
torch.distributions.kumaraswamy.Kumaraswamy |
||
torch.distributions.kumaraswamy.Kumaraswamy.arg_constraints |
||
torch.distributions.kumaraswamy.Kumaraswamy.entropy |
||
torch.distributions.kumaraswamy.Kumaraswamy.expand |
||
torch.distributions.kumaraswamy.Kumaraswamy.has_rsample |
||
torch.distributions.kumaraswamy.Kumaraswamy.mean |
||
torch.distributions.kumaraswamy.Kumaraswamy.mode |
||
torch.distributions.kumaraswamy.Kumaraswamy.support |
||
torch.distributions.kumaraswamy.Kumaraswamy.variance |
||
torch.distributions.lkj_cholesky.LKJCholesky |
||
torch.distributions.lkj_cholesky.LKJCholesky.arg_constraints |
||
torch.distributions.lkj_cholesky.LKJCholesky.expand |
||
torch.distributions.lkj_cholesky.LKJCholesky.log_prob |
||
torch.distributions.lkj_cholesky.LKJCholesky.sample |
||
torch.distributions.lkj_cholesky.LKJCholesky.support |
||
torch.distributions.laplace.Laplace |
||
torch.distributions.laplace.Laplace.arg_constraints |
||
torch.distributions.laplace.Laplace.cdf |
||
torch.distributions.laplace.Laplace.entropy |
||
torch.distributions.laplace.Laplace.expand |
||
torch.distributions.laplace.Laplace.has_rsample |
||
torch.distributions.laplace.Laplace.icdf |
||
torch.distributions.laplace.Laplace.log_prob |
||
torch.distributions.laplace.Laplace.mean |
||
torch.distributions.laplace.Laplace.mode |
||
torch.distributions.laplace.Laplace.rsample |
||
torch.distributions.laplace.Laplace.stddev |
||
torch.distributions.laplace.Laplace.support |
||
torch.distributions.laplace.Laplace.variance |
||
torch.distributions.log_normal.LogNormal |
||
torch.distributions.log_normal.LogNormal.arg_constraints |
||
torch.distributions.log_normal.LogNormal.entropy |
||
torch.distributions.log_normal.LogNormal.expand |
||
torch.distributions.log_normal.LogNormal.has_rsample |
||
torch.distributions.log_normal.LogNormal.loc |
||
torch.distributions.log_normal.LogNormal.mean |
||
torch.distributions.log_normal.LogNormal.mode |
||
torch.distributions.log_normal.LogNormal.scale |
||
torch.distributions.log_normal.LogNormal.support |
||
torch.distributions.log_normal.LogNormal.variance |
||
torch.distributions.lowrank_multivariate_normal.LowRankMultivariateNormal |
||
torch.distributions.lowrank_multivariate_normal.LowRankMultivariateNormal.arg_constraints |
||
torch.distributions.lowrank_multivariate_normal.LowRankMultivariateNormal.covariance_matrix |
||
torch.distributions.lowrank_multivariate_normal.LowRankMultivariateNormal.entropy |
||
torch.distributions.lowrank_multivariate_normal.LowRankMultivariateNormal.expand |
||
torch.distributions.lowrank_multivariate_normal.LowRankMultivariateNormal.has_rsample |
||
torch.distributions.lowrank_multivariate_normal.LowRankMultivariateNormal.log_prob |
||
torch.distributions.lowrank_multivariate_normal.LowRankMultivariateNormal.mean |
||
torch.distributions.lowrank_multivariate_normal.LowRankMultivariateNormal.mode |
||
torch.distributions.lowrank_multivariate_normal.LowRankMultivariateNormal.precision_matrix |
||
torch.distributions.lowrank_multivariate_normal.LowRankMultivariateNormal.rsample |
||
torch.distributions.lowrank_multivariate_normal.LowRankMultivariateNormal.scale_tril |
||
torch.distributions.lowrank_multivariate_normal.LowRankMultivariateNormal.support |
||
torch.distributions.lowrank_multivariate_normal.LowRankMultivariateNormal.variance |
||
torch.distributions.mixture_same_family.MixtureSameFamily |
||
torch.distributions.mixture_same_family.MixtureSameFamily.arg_constraints |
||
torch.distributions.mixture_same_family.MixtureSameFamily.cdf |
||
torch.distributions.mixture_same_family.MixtureSameFamily.component_distribution |
||
torch.distributions.mixture_same_family.MixtureSameFamily.expand |
||
torch.distributions.mixture_same_family.MixtureSameFamily.has_rsample |
||
torch.distributions.mixture_same_family.MixtureSameFamily.log_prob |
||
torch.distributions.mixture_same_family.MixtureSameFamily.mean |
||
torch.distributions.mixture_same_family.MixtureSameFamily.mixture_distribution |
||
torch.distributions.mixture_same_family.MixtureSameFamily.sample |
||
torch.distributions.mixture_same_family.MixtureSameFamily.support |
||
torch.distributions.mixture_same_family.MixtureSameFamily.variance |
||
torch.distributions.multinomial.Multinomial |
||
torch.distributions.multinomial.Multinomial.arg_constraints |
||
torch.distributions.multinomial.Multinomial.entropy |
||
torch.distributions.multinomial.Multinomial.expand |
||
torch.distributions.multinomial.Multinomial.log_prob |
||
torch.distributions.multinomial.Multinomial.logits |
||
torch.distributions.multinomial.Multinomial.mean |
||
torch.distributions.multinomial.Multinomial.param_shape |
||
torch.distributions.multinomial.Multinomial.probs |
||
torch.distributions.multinomial.Multinomial.sample |
||
torch.distributions.multinomial.Multinomial.support |
||
torch.distributions.multinomial.Multinomial.total_count |
||
torch.distributions.multinomial.Multinomial.variance |
||
torch.distributions.multivariate_normal.MultivariateNormal |
||
torch.distributions.multivariate_normal.MultivariateNormal.arg_constraints |
||
torch.distributions.multivariate_normal.MultivariateNormal.covariance_matrix |
||
torch.distributions.multivariate_normal.MultivariateNormal.entropy |
||
torch.distributions.multivariate_normal.MultivariateNormal.expand |
||
torch.distributions.multivariate_normal.MultivariateNormal.has_rsample |
||
torch.distributions.multivariate_normal.MultivariateNormal.log_prob |
||
torch.distributions.multivariate_normal.MultivariateNormal.mean |
||
torch.distributions.multivariate_normal.MultivariateNormal.mode |
||
torch.distributions.multivariate_normal.MultivariateNormal.precision_matrix |
||
torch.distributions.multivariate_normal.MultivariateNormal.rsample |
||
torch.distributions.multivariate_normal.MultivariateNormal.scale_tril |
||
torch.distributions.multivariate_normal.MultivariateNormal.support |
||
torch.distributions.multivariate_normal.MultivariateNormal.variance |
||
torch.distributions.negative_binomial.NegativeBinomial |
||
torch.distributions.negative_binomial.NegativeBinomial.arg_constraints |
||
torch.distributions.negative_binomial.NegativeBinomial.expand |
||
torch.distributions.negative_binomial.NegativeBinomial.log_prob |
||
torch.distributions.negative_binomial.NegativeBinomial.logits |
||
torch.distributions.negative_binomial.NegativeBinomial.mean |
||
torch.distributions.negative_binomial.NegativeBinomial.mode |
||
torch.distributions.negative_binomial.NegativeBinomial.param_shape |
||
torch.distributions.negative_binomial.NegativeBinomial.probs |
||
torch.distributions.negative_binomial.NegativeBinomial.sample |
||
torch.distributions.negative_binomial.NegativeBinomial.support |
||
torch.distributions.negative_binomial.NegativeBinomial.variance |
||
torch.distributions.normal.Normal |
||
torch.distributions.normal.Normal.arg_constraints |
||
torch.distributions.normal.Normal.cdf |
||
torch.distributions.normal.Normal.entropy |
||
torch.distributions.normal.Normal.expand |
||
torch.distributions.normal.Normal.has_rsample |
||
torch.distributions.normal.Normal.icdf |
否 |
|
torch.distributions.normal.Normal.log_prob |
||
torch.distributions.normal.Normal.mean |
||
torch.distributions.normal.Normal.mode |
||
torch.distributions.normal.Normal.rsample |
||
torch.distributions.normal.Normal.sample |
否 |
|
torch.distributions.normal.Normal.stddev |
||
torch.distributions.normal.Normal.support |
||
torch.distributions.normal.Normal.variance |
||
torch.distributions.one_hot_categorical.OneHotCategorical |
||
torch.distributions.one_hot_categorical.OneHotCategorical.arg_constraints |
||
torch.distributions.one_hot_categorical.OneHotCategorical.entropy |
||
torch.distributions.one_hot_categorical.OneHotCategorical.enumerate_support |
||
torch.distributions.one_hot_categorical.OneHotCategorical.expand |
||
torch.distributions.one_hot_categorical.OneHotCategorical.has_enumerate_support |
||
torch.distributions.one_hot_categorical.OneHotCategorical.log_prob |
否 |
|
torch.distributions.one_hot_categorical.OneHotCategorical.logits |
||
torch.distributions.one_hot_categorical.OneHotCategorical.mean |
||
torch.distributions.one_hot_categorical.OneHotCategorical.mode |
||
torch.distributions.one_hot_categorical.OneHotCategorical.param_shape |
||
torch.distributions.one_hot_categorical.OneHotCategorical.probs |
||
torch.distributions.one_hot_categorical.OneHotCategorical.sample |
否 |
|
torch.distributions.one_hot_categorical.OneHotCategorical.support |
||
torch.distributions.one_hot_categorical.OneHotCategorical.variance |
||
torch.distributions.pareto.Pareto |
||
torch.distributions.pareto.Pareto.arg_constraints |
||
torch.distributions.pareto.Pareto.entropy |
||
torch.distributions.pareto.Pareto.expand |
||
torch.distributions.pareto.Pareto.mean |
||
torch.distributions.pareto.Pareto.mode |
||
torch.distributions.pareto.Pareto.support |
||
torch.distributions.pareto.Pareto.variance |
||
torch.distributions.poisson.Poisson |
||
torch.distributions.poisson.Poisson.arg_constraints |
||
torch.distributions.poisson.Poisson.expand |
||
torch.distributions.poisson.Poisson.log_prob |
||
torch.distributions.poisson.Poisson.mean |
||
torch.distributions.poisson.Poisson.mode |
||
torch.distributions.poisson.Poisson.sample |
||
torch.distributions.poisson.Poisson.support |
||
torch.distributions.poisson.Poisson.variance |
||
torch.distributions.relaxed_bernoulli.RelaxedBernoulli |
||
torch.distributions.relaxed_bernoulli.RelaxedBernoulli.arg_constraints |
||
torch.distributions.relaxed_bernoulli.RelaxedBernoulli.expand |
||
torch.distributions.relaxed_bernoulli.RelaxedBernoulli.has_rsample |
||
torch.distributions.relaxed_bernoulli.RelaxedBernoulli.logits |
||
torch.distributions.relaxed_bernoulli.RelaxedBernoulli.probs |
||
torch.distributions.relaxed_bernoulli.RelaxedBernoulli.support |
||
torch.distributions.relaxed_bernoulli.RelaxedBernoulli.temperature |
||
torch.distributions.relaxed_bernoulli.LogitRelaxedBernoulli |
||
torch.distributions.relaxed_bernoulli.LogitRelaxedBernoulli.arg_constraints |
||
torch.distributions.relaxed_bernoulli.LogitRelaxedBernoulli.expand |
||
torch.distributions.relaxed_bernoulli.LogitRelaxedBernoulli.log_prob |
||
torch.distributions.relaxed_bernoulli.LogitRelaxedBernoulli.logits |
||
torch.distributions.relaxed_bernoulli.LogitRelaxedBernoulli.param_shape |
||
torch.distributions.relaxed_bernoulli.LogitRelaxedBernoulli.probs |
||
torch.distributions.relaxed_bernoulli.LogitRelaxedBernoulli.rsample |
||
torch.distributions.relaxed_bernoulli.LogitRelaxedBernoulli.support |
||
torch.distributions.relaxed_categorical.RelaxedOneHotCategorical |
||
torch.distributions.relaxed_categorical.RelaxedOneHotCategorical.arg_constraints |
||
torch.distributions.relaxed_categorical.RelaxedOneHotCategorical.expand |
||
torch.distributions.relaxed_categorical.RelaxedOneHotCategorical.has_rsample |
||
torch.distributions.relaxed_categorical.RelaxedOneHotCategorical.logits |
||
torch.distributions.relaxed_categorical.RelaxedOneHotCategorical.probs |
||
torch.distributions.relaxed_categorical.RelaxedOneHotCategorical.support |
||
torch.distributions.relaxed_categorical.RelaxedOneHotCategorical.temperature |
||
torch.distributions.studentT.StudentT |
||
torch.distributions.studentT.StudentT.arg_constraints |
||
torch.distributions.studentT.StudentT.entropy |
||
torch.distributions.studentT.StudentT.expand |
||
torch.distributions.studentT.StudentT.has_rsample |
||
torch.distributions.studentT.StudentT.log_prob |
||
torch.distributions.studentT.StudentT.mean |
||
torch.distributions.studentT.StudentT.mode |
||
torch.distributions.studentT.StudentT.rsample |
||
torch.distributions.studentT.StudentT.support |
||
torch.distributions.studentT.StudentT.variance |
||
torch.distributions.transformed_distribution.TransformedDistribution |
||
torch.distributions.transformed_distribution.TransformedDistribution.arg_constraints |
||
torch.distributions.transformed_distribution.TransformedDistribution.cdf |
||
torch.distributions.transformed_distribution.TransformedDistribution.expand |
||
torch.distributions.transformed_distribution.TransformedDistribution.has_rsample |
||
torch.distributions.transformed_distribution.TransformedDistribution.icdf |
||
torch.distributions.transformed_distribution.TransformedDistribution.log_prob |
||
torch.distributions.transformed_distribution.TransformedDistribution.rsample |
||
torch.distributions.transformed_distribution.TransformedDistribution.sample |
||
torch.distributions.transformed_distribution.TransformedDistribution.support |
||
torch.distributions.uniform.Uniform |
||
torch.distributions.uniform.Uniform.arg_constraints |
||
torch.distributions.uniform.Uniform.cdf |
||
torch.distributions.uniform.Uniform.entropy |
||
torch.distributions.uniform.Uniform.expand |
||
torch.distributions.uniform.Uniform.has_rsample |
||
torch.distributions.uniform.Uniform.icdf |
||
torch.distributions.uniform.Uniform.log_prob |
||
torch.distributions.uniform.Uniform.mean |
||
torch.distributions.uniform.Uniform.mode |
||
torch.distributions.uniform.Uniform.rsample |
||
torch.distributions.uniform.Uniform.stddev |
否 |
|
torch.distributions.uniform.Uniform.support |
||
torch.distributions.uniform.Uniform.variance |
||
torch.distributions.von_mises.VonMises |
||
torch.distributions.von_mises.VonMises.arg_constraints |
||
torch.distributions.von_mises.VonMises.expand |
||
torch.distributions.von_mises.VonMises.has_rsample |
||
torch.distributions.von_mises.VonMises.log_prob |
||
torch.distributions.von_mises.VonMises.mean |
||
torch.distributions.von_mises.VonMises.mode |
||
torch.distributions.von_mises.VonMises.sample |
否 |
|
torch.distributions.von_mises.VonMises.support |
||
torch.distributions.von_mises.VonMises.variance |
||
torch.distributions.weibull.Weibull |
||
torch.distributions.weibull.Weibull.arg_constraints |
||
torch.distributions.weibull.Weibull.entropy |
||
torch.distributions.weibull.Weibull.expand |
||
torch.distributions.weibull.Weibull.mean |
||
torch.distributions.weibull.Weibull.mode |
||
torch.distributions.weibull.Weibull.support |
||
torch.distributions.weibull.Weibull.variance |
否 |
|
torch.distributions.wishart.Wishart |
||
torch.distributions.wishart.Wishart.arg_constraints |
||
torch.distributions.wishart.Wishart.covariance_matrix |
||
torch.distributions.wishart.Wishart.entropy |
||
torch.distributions.wishart.Wishart.expand |
||
torch.distributions.wishart.Wishart.has_rsample |
||
torch.distributions.wishart.Wishart.log_prob |
||
torch.distributions.wishart.Wishart.mean |
||
torch.distributions.wishart.Wishart.mode |
||
torch.distributions.wishart.Wishart.precision_matrix |
||
torch.distributions.wishart.Wishart.rsample |
||
torch.distributions.wishart.Wishart.scale_tril |
||
torch.distributions.wishart.Wishart.support |
||
torch.distributions.wishart.Wishart.variance |
||
torch.distributions.kl.kl_divergence |
||
torch.distributions.kl.register_kl |
||
torch.distributions.transforms.AbsTransform |
||
torch.distributions.transforms.AffineTransform |
||
torch.distributions.transforms.CatTransform |
||
torch.distributions.transforms.ComposeTransform |
||
torch.distributions.transforms.CorrCholeskyTransform |
||
torch.distributions.transforms.CumulativeDistributionTransform |
||
torch.distributions.transforms.ExpTransform |
||
torch.distributions.transforms.IndependentTransform |
||
torch.distributions.transforms.LowerCholeskyTransform |
||
torch.distributions.transforms.PositiveDefiniteTransform |
||
torch.distributions.transforms.PowerTransform |
否 |
|
torch.distributions.transforms.ReshapeTransform |
||
torch.distributions.transforms.SigmoidTransform |
||
torch.distributions.transforms.SoftplusTransform |
||
torch.distributions.transforms.TanhTransform |
||
torch.distributions.transforms.SoftmaxTransform |
||
torch.distributions.transforms.StackTransform |
||
torch.distributions.transforms.StickBreakingTransform |
否 |
|
torch.distributions.transforms.Transform |
||
torch.distributions.transforms.Transform.inv |
||
torch.distributions.transforms.Transform.sign |
||
torch.distributions.transforms.Transform.log_abs_det_jacobian |
||
torch.distributions.transforms.Transform.forward_shape |
||
torch.distributions.transforms.Transform.inverse_shape |
||
torch.distributions.constraints.Constraint |
||
torch.distributions.constraints.Constraint.check |
||
torch.distributions.constraints.cat |
||
torch.distributions.constraints.dependent_property |
||
torch.distributions.constraints.greater_than |
||
torch.distributions.constraints.greater_than_eq |
||
torch.distributions.constraints.independent |
||
torch.distributions.constraints.integer_interval |
||
torch.distributions.constraints.interval |
||
torch.distributions.constraints.half_open_interval |
||
torch.distributions.constraints.less_than |
||
torch.distributions.constraints.multinomial |
||
torch.distributions.constraints.stack |
||
torch.distributions.constraint_registry.ConstraintRegistry |
||
torch.distributions.constraint_registry.ConstraintRegistry.register |