| /external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
| autoregressive.py | 173 reparameterization_type=self._distribution0.reparameterization_type,
|
| half_normal.py | 127 reparameterization_type=distribution.FULLY_REPARAMETERIZED,
|
| independent.py | 147 reparameterization_type=self._distribution.reparameterization_type,
|
| batch_reshape.py | 131 reparameterization_type=distribution.reparameterization_type,
|
| distribution_util.py | 406 (i) check that reparameterization_type is `FULLY_REPARAMETERIZED`.
424 # Although `reparameterization_type` is a static property, we guard it by
429 if validate_args and (distribution.reparameterization_type
433 "distribution.reparameterization_type = \"{}\" "
435 distribution.reparameterization_type))
|
| binomial.py | 195 reparameterization_type=distribution.NOT_REPARAMETERIZED,
|
| cauchy.py | 142 reparameterization_type=distribution.FULLY_REPARAMETERIZED,
|
| geometric.py | 108 reparameterization_type=distribution.NOT_REPARAMETERIZED,
|
| gumbel.py | 146 reparameterization_type=distribution.FULLY_REPARAMETERIZED,
|
| logistic.py | 141 reparameterization_type=distribution.FULLY_REPARAMETERIZED,
|
| negative_binomial.py | 112 reparameterization_type=distribution.NOT_REPARAMETERIZED,
|
| onehot_categorical.py | 148 reparameterization_type=distribution.NOT_REPARAMETERIZED,
|
| poisson.py | 127 reparameterization_type=distribution.NOT_REPARAMETERIZED,
|
| deterministic.py | 113 reparameterization_type=distribution.NOT_REPARAMETERIZED,
|
| inverse_gamma.py | 154 reparameterization_type=distribution.NOT_REPARAMETERIZED,
|
| mixture_same_family.py | 215 reparameterization_type=distribution.NOT_REPARAMETERIZED,
|
| /external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/ |
| conditional_distribution_test.py | 39 reparameterization_type=distributions.NOT_REPARAMETERIZED,
|
| logistic_test.py | 39 dist.reparameterization_type == distribution.FULLY_REPARAMETERIZED)
|
| /external/tensorflow/tensorflow/contrib/bayesflow/python/kernel_tests/ |
| monte_carlo_test.py | 227 use_reparametrization=(p.reparameterization_type
233 p.reparameterization_type == distribution_lib.FULLY_REPARAMETERIZED)
|
| /external/tensorflow/tensorflow/python/ops/distributions/ |
| bernoulli.py | 92 reparameterization_type=distribution.NOT_REPARAMETERIZED,
|
| dirichlet_multinomial.py | 227 reparameterization_type=distribution.NOT_REPARAMETERIZED,
|
| laplace.py | 121 reparameterization_type=distribution.FULLY_REPARAMETERIZED,
|
| multinomial.py | 210 reparameterization_type=distribution.NOT_REPARAMETERIZED,
|
| uniform.py | 125 reparameterization_type=distribution.FULLY_REPARAMETERIZED,
|
| transformed_distribution.py | 319 reparameterization_type=self._distribution.reparameterization_type,
|
