| /external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
| distribution_util.py | 89 assert_positive=False,
114 assert_positive: Python `bool` indicating whether LinOp should be checked
129 if assert_positive:
131 check_ops.assert_positive(
166 is_positive_definite=assert_positive)
174 assert_positive=assert_positive,
184 assert_positive=False,
204 assert_positive: Python `bool` indicating whether LinOp should be checked
219 if assert_positive
[all...] |
| vector_exponential_diag.py | 190 assert_positive=False)
|
| vector_laplace_diag.py | 225 assert_positive=False)
|
| mvn_diag.py | 208 assert_positive=False)
|
| mvn_diag_plus_low_rank.py | 232 assert_positive=has_low_rank)
|
| inverse_gamma.py | 131 check_ops.assert_positive(concentration),
132 check_ops.assert_positive(rate),
276 check_ops.assert_positive(x),
|
| relaxed_bernoulli.py | 170 with ops.control_dependencies([check_ops.assert_positive(temperature)]
|
| half_normal.py | 110 with ops.control_dependencies([check_ops.assert_positive(scale)] if
|
| vector_sinh_arcsinh_diag.py | 194 assert_positive=False)
|
| cauchy.py | 125 with ops.control_dependencies([check_ops.assert_positive(scale)]
|
| geometric.py | 94 [check_ops.assert_positive(self._probs)] if validate_args else []):
|
| gumbel.py | 129 with ops.control_dependencies([check_ops.assert_positive(scale)] if
|
| logistic.py | 124 with ops.control_dependencies([check_ops.assert_positive(scale)] if
|
| negative_binomial.py | 98 [check_ops.assert_positive(total_count)] if validate_args else []):
|
| poisson.py | 99 with ops.control_dependencies([check_ops.assert_positive(rate)] if
|
| /external/tensorflow/tensorflow/contrib/distributions/python/ops/bijectors/ |
| weibull.py | 81 check_ops.assert_positive(
86 check_ops.assert_positive(
|
| cholesky_outer_product.py | 166 is_positive = check_ops.assert_positive(
186 is_positive_definite = check_ops.assert_positive(
|
| gumbel.py | 78 check_ops.assert_positive(
|
| power_transform.py | 125 is_valid = check_ops.assert_positive(
|
| sinh_arcsinh.py | 123 check_ops.assert_positive(
|
| /external/tensorflow/tensorflow/python/ops/distributions/ |
| gamma.py | 132 check_ops.assert_positive(concentration),
133 check_ops.assert_positive(rate),
257 check_ops.assert_positive(x),
|
| dirichlet.py | 276 check_ops.assert_positive(
292 check_ops.assert_positive(
|
| beta.py | 297 check_ops.assert_positive(
307 check_ops.assert_positive(x, message="sample must be positive"),
|
| dirichlet_multinomial.py | 332 check_ops.assert_positive(
|
| laplace.py | 105 with ops.control_dependencies([check_ops.assert_positive(scale)] if
|
