/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__/laplace.cpython-36.pyc (3442B)
3 Eg @sLddlmZddlZddlmZddlmZddlmZGdddeZ dS))NumberN) constraints) Distribution) broadcast_allcseZdZdZejejdZejZdZ e ddZ e ddZ e dd Z dfd d Zdfd d ZejfddZddZddZddZddZZS)Laplacea Creates a Laplace distribution parameterized by :attr:`loc` and :attr:`scale`. Example:: >>> m = Laplace(torch.tensor([0.0]), torch.tensor([1.0])) >>> m.sample() # Laplace distributed with loc=0, scale=1 tensor([ 0.1046]) Args: loc (float or Tensor): mean of the distribution scale (float or Tensor): scale of the distribution )locscaleTcCs|jS)N)r)selfr G/usr/local/lib64/python3.6/site-packages/torch/distributions/laplace.pymeansz Laplace.meancCsd|jjdS)N)rpow)r r r r varianceszLaplace.variancecCs d|jS)Nr g?g;f?)r)r r r r stddev"szLaplace.stddevNcsRt||\|_|_t|tr0t|tr0tj}n |jj}tt |j ||ddS)N) validate_args) rrr isinstancertorchSizesizesuperr__init__)r rrr batch_shape) __class__r r r&s   zLaplace.__init__csR|jt|}tj|}|jj||_|jj||_tt|j|dd|j |_ |S)NF)r) Z_get_checked_instancerrrrexpandrrr_validate_args)r rZ _instancenew)rr r r.s  zLaplace.expandcCs|j|}tj|jj}tjjrptj||jj|jjddd}|j|j |j tj |j j |jd S|jj|j|jdd}|j|j |j tj |j S)N)dtypedevicer )min)Z_extended_shaperfinforr_CZ_get_tracing_stateZrandrrsignlog1pabsclampZtinyrZuniform_Zeps)r Z sample_shapeshaper!ur r r rsample7s   .zLaplace.rsamplecCs8|jr|j|tjd|j tj||j|jS)Nr )r_validate_samplerlogrr%r)r valuer r r log_probCs zLaplace.log_probcCsB|jr|j|dd||jjtj||jj |jS)Ng?)rr*rr#rexpm1r%r)r r,r r r cdfHs z Laplace.cdfcCs.|d}|j|j|jtjd|jS)Ng?r )rrr#rr$r%)r r,Ztermr r r icdfMsz Laplace.icdfcCsdtjd|jS)Nrr )rr+r)r r r r entropyQszLaplace.entropy)N)N)__name__ __module__ __qualname____doc__rrealZpositiveZarg_constraintsZsupportZ has_rsamplepropertyr rrrrrrr)r-r/r1r2 __classcell__r r )rr rs      r) ZnumbersrrZtorch.distributionsrZ torch.distributions.distributionrZtorch.distributions.utilsrrr r r r s