/usr/local/lib64/python3.6/site-packages/torch/distributions/__pycache__
NameSizeModeActions
bernoulli.cpython-36.pyc44450644editdlrm
beta.cpython-36.pyc36820644editdlrm
binomial.cpython-36.pyc47610644editdlrm
categorical.cpython-36.pyc58130644editdlrm
cauchy.cpython-36.pyc33100644editdlrm
chi2.cpython-36.pyc14190644editdlrm
constraints.cpython-36.pyc222170644editdlrm
constraint_registry.cpython-36.pyc98950644editdlrm
continuous_bernoulli.cpython-36.pyc80770644editdlrm
dirichlet.cpython-36.pyc40850644editdlrm
distribution.cpython-36.pyc118220644editdlrm
exponential.cpython-36.pyc33630644editdlrm
exp_family.cpython-36.pyc28760644editdlrm
fishersnedecor.cpython-36.pyc32120644editdlrm
gamma.cpython-36.pyc34550644editdlrm
geometric.cpython-36.pyc41830644editdlrm
gumbel.cpython-36.pyc28640644editdlrm
half_cauchy.cpython-36.pyc29300644editdlrm
half_normal.cpython-36.pyc28210644editdlrm
independent.cpython-36.pyc45060644editdlrm
kl.cpython-36.pyc258440644editdlrm
kumaraswamy.cpython-36.pyc30400644editdlrm
laplace.cpython-36.pyc34420644editdlrm
lkj_cholesky.cpython-36.pyc45750644editdlrm
logistic_normal.cpython-36.pyc23200644editdlrm
log_normal.cpython-36.pyc24380644editdlrm
lowrank_multivariate_normal.cpython-36.pyc80740644editdlrm
mixture_same_family.cpython-36.pyc70730644editdlrm
multinomial.cpython-36.pyc50200644editdlrm
multivariate_normal.cpython-36.pyc85340644editdlrm
negative_binomial.cpython-36.pyc41490644editdlrm
normal.cpython-36.pyc41380644editdlrm
one_hot_categorical.cpython-36.pyc51730644editdlrm
pareto.cpython-36.pyc25160644editdlrm
poisson.cpython-36.pyc26820644editdlrm
relaxed_bernoulli.cpython-36.pyc55950644editdlrm
relaxed_categorical.cpython-36.pyc55630644editdlrm
studentT.cpython-36.pyc34830644editdlrm
transformed_distribution.cpython-36.pyc73350644editdlrm
transforms.cpython-36.pyc429810644editdlrm
uniform.cpython-36.pyc35800644editdlrm
utils.cpython-36.pyc68020644editdlrm
von_mises.cpython-36.pyc50790644editdlrm
weibull.cpython-36.pyc27370644editdlrm
__init__.cpython-36.pyc59810644editdlrm
Edit: /usr/local/lib64/python3.6/site-packages/torch/distributions/__pycache__/gumbel.cpython-36.pyc (2864B)
3 Eg @stddlmZddlZddlZddlmZddlmZddlm Z ddl m Z m Z ddl mZmZGdd d e ZdS) )NumberN) constraints)Uniform)TransformedDistribution)AffineTransform ExpTransform) broadcast_alleuler_constantcsxeZdZdZejejdZejZdfdd Z dfdd Z dd Z e d d Z e d d Ze ddZddZZS)Gumbela} Samples from a Gumbel Distribution. Examples:: >>> m = Gumbel(torch.tensor([1.0]), torch.tensor([2.0])) >>> m.sample() # sample from Gumbel distribution with loc=1, scale=2 tensor([ 1.0124]) Args: loc (float or Tensor): Location parameter of the distribution scale (float or Tensor): Scale parameter of the distribution )locscaleNcst||\|_|_tj|jj}t|trHt|trHt|j d|j }n&ttj |j|j tj |jd|j }t j tdtj|j dt j t||j dg}tt|j|||ddS)Nr)r r ) validate_args)rr r torchfinfoZdtype isinstancerrZtinyZepsZ full_likerinvrZ ones_likesuperr __init__)selfr r rrZ base_distZ transforms) __class__F/usr/local/lib64/python3.6/site-packages/torch/distributions/gumbel.pyrszGumbel.__init__cs<|jt|}|jj||_|jj||_tt|j||dS)N) _instance)Z_get_checked_instancer r expandr r)rZ batch_shapernew)rrrr(s z Gumbel.expandcCs6|jr|j||j||j}||j|jjS)N)Z_validate_argsZ_validate_sampler r explog)rvalueyrrrlog_prob/s zGumbel.log_probcCs|j|jtS)N)r r r )rrrrmean5sz Gumbel.meancCstjtjd|jS)N)mathpisqrtr )rrrrstddev9sz Gumbel.stddevcCs |jjdS)N)r&pow)rrrrvariance=szGumbel.variancecCs|jjdtS)Nr )r rr )rrrrentropyAszGumbel.entropy)N)N)__name__ __module__ __qualname____doc__rrealZpositiveZarg_constraintsZsupportrrr propertyr!r&r)r* __classcell__rr)rrr s     r )Znumbersrr#rZtorch.distributionsrZtorch.distributions.uniformrZ,torch.distributions.transformed_distributionrZtorch.distributions.transformsrrZtorch.distributions.utilsrr r rrrrs