Searched defs:distribution_util (Results 1 - 25 of 52) sorted by relevance

123

/external/tensorflow/tensorflow/contrib/distributions/python/ops/
H A Dvector_exponential_diag.py21 from tensorflow.contrib.distributions.python.ops import distribution_util namespace
185 scale = distribution_util.make_diag_scale(
H A Dvector_laplace_diag.py21 from tensorflow.contrib.distributions.python.ops import distribution_util namespace
220 scale = distribution_util.make_diag_scale(
H A Dconditional_distribution.py22 from tensorflow.python.ops.distributions import util as distribution_util namespace
32 @distribution_util.AppendDocstring(kwargs_dict={
39 @distribution_util.AppendDocstring(kwargs_dict={
45 @distribution_util.AppendDocstring(kwargs_dict={
51 @distribution_util.AppendDocstring(kwargs_dict={
57 @distribution_util.AppendDocstring(kwargs_dict={
63 @distribution_util.AppendDocstring(kwargs_dict={
70 @distribution_util.AppendDocstring(kwargs_dict={
H A Dmvn_diag.py21 from tensorflow.contrib.distributions.python.ops import distribution_util namespace
203 scale = distribution_util.make_diag_scale(
H A Dmvn_diag_plus_low_rank.py22 from tensorflow.contrib.distributions.python.ops import distribution_util namespace
227 scale = distribution_util.make_diag_scale(
H A Dmvn_tril.py24 from tensorflow.python.ops.distributions import util as distribution_util namespace
193 num_rows=distribution_util.dimension_size(loc, -1),
H A Dvector_student_t.py22 from tensorflow.contrib.distributions.python.ops import distribution_util namespace
212 distribution_util.shapes_from_loc_and_scale(
214 override_batch_shape = distribution_util.pick_vector(
H A Dautoregressive.py25 from tensorflow.python.ops.distributions import util as distribution_util namespace
196 seed = distribution_util.gen_new_seed(
H A Drelaxed_bernoulli.py30 from tensorflow.python.ops.distributions import util as distribution_util namespace
173 self._logits, self._probs = distribution_util.get_logits_and_probs(
H A Dsinh_arcsinh.py22 from tensorflow.contrib.distributions.python.ops import distribution_util namespace
148 batch_shape = distribution_util.get_broadcast_shape(
162 asserts = distribution_util.maybe_check_scalar_distribution(
H A Dvector_sinh_arcsinh_diag.py22 from tensorflow.contrib.distributions.python.ops import distribution_util namespace
189 scale_linop = distribution_util.make_diag_scale(
195 batch_shape, event_shape = distribution_util.shapes_from_loc_and_scale(
207 asserts = distribution_util.maybe_check_scalar_distribution(
H A Dconditional_transformed_distribution.py26 from tensorflow.python.ops.distributions import util as distribution_util namespace
52 @distribution_util.AppendDocstring(kwargs_dict=_condition_kwargs_dict)
57 distribution_util.pick_vector(self._needs_rotation, self._empty, [n]),
60 distribution_util.pick_vector(self._needs_rotation, [n], self._empty))
101 @distribution_util.AppendDocstring(kwargs_dict=_condition_kwargs_dict)
126 @distribution_util.AppendDocstring(kwargs_dict=_condition_kwargs_dict)
148 @distribution_util.AppendDocstring(kwargs_dict=_condition_kwargs_dict)
161 @distribution_util.AppendDocstring(kwargs_dict=_condition_kwargs_dict)
174 @distribution_util.AppendDocstring(kwargs_dict=_condition_kwargs_dict)
188 @distribution_util
[all...]
H A Dmixture_same_family.py23 from tensorflow.contrib.distributions.python.ops import distribution_util as distribution_utils
30 from tensorflow.python.ops.distributions import util as distribution_util namespace
172 distribution_util.pick_vector(
H A Dmvn_linear_operator.py21 from tensorflow.contrib.distributions.python.ops import distribution_util namespace
183 batch_shape, event_shape = distribution_util.shapes_from_loc_and_scale(
208 @distribution_util.AppendDocstring(_mvn_sample_note)
212 @distribution_util.AppendDocstring(_mvn_sample_note)
236 if distribution_util.is_diagonal_scale(self.scale):
242 if distribution_util.is_diagonal_scale(self.scale):
253 if distribution_util.is_diagonal_scale(self.scale):
H A Dvector_exponential_linear_operator.py22 from tensorflow.contrib.distributions.python.ops import distribution_util namespace
188 batch_shape, event_shape = distribution_util.shapes_from_loc_and_scale(
212 @distribution_util.AppendDocstring(_mvn_sample_note)
216 @distribution_util.AppendDocstring(_mvn_sample_note)
241 if distribution_util.is_diagonal_scale(self.scale):
247 if distribution_util.is_diagonal_scale(self.scale):
258 if distribution_util.is_diagonal_scale(self.scale):
H A Dvector_laplace_linear_operator.py24 from tensorflow.contrib.distributions.python.ops import distribution_util namespace
204 batch_shape, event_shape = distribution_util.shapes_from_loc_and_scale(
229 @distribution_util.AppendDocstring(_mvn_sample_note)
233 @distribution_util.AppendDocstring(_mvn_sample_note)
265 if distribution_util.is_diagonal_scale(self.scale):
271 if distribution_util.is_diagonal_scale(self.scale):
282 if distribution_util.is_diagonal_scale(self.scale):
H A Dbinomial.py29 from tensorflow.python.ops.distributions import util as distribution_util namespace
171 self._logits, self._probs = distribution_util.get_logits_and_probs(
218 @distribution_util.AppendDocstring(_binomial_sample_note)
222 @distribution_util.AppendDocstring(_binomial_sample_note)
255 @distribution_util.AppendDocstring(
270 distribution_util.assert_integer_form(
279 counts = distribution_util.embed_check_nonnegative_integer_form(counts)
/external/tensorflow/tensorflow/contrib/distributions/python/ops/bijectors/
H A Dconditional_bijector.py22 from tensorflow.python.ops.distributions import util as distribution_util namespace
31 @distribution_util.AppendDocstring(kwargs_dict={
37 @distribution_util.AppendDocstring(kwargs_dict={
43 @distribution_util.AppendDocstring(kwargs_dict={
50 @distribution_util.AppendDocstring(kwargs_dict={
H A Dsoftplus.py27 from tensorflow.python.ops.distributions import util as distribution_util namespace
78 @distribution_util.AppendDocstring(
116 return distribution_util.softplus_inverse(y)
118 return hinge_softness * distribution_util.softplus_inverse(
123 # ildj = math_ops.reduce_sum(y - distribution_util.softplus_inverse(y),
H A Daffine.py22 from tensorflow.contrib.distributions.python.ops import distribution_util namespace
307 shape_hint = distribution_util.dimension_size(perturb_factor, axis=-2)
319 scale = distribution_util.make_tril_scale(
391 event_size = distribution_util.pick_vector(
H A Dcholesky_outer_product.py31 from tensorflow.python.ops.distributions import util as distribution_util namespace
231 distribution_util.pick_vector(
H A Dsoftmax_centered.py23 from tensorflow.contrib.distributions.python.ops import distribution_util namespace
138 y = distribution_util.pad(y, axis=-1, back=True)
167 ndims = distribution_util.prefer_static_rank(y)
/external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/
H A Dautoregressive_test.py30 from tensorflow.python.ops.distributions import util as distribution_util namespace
43 return distribution_util.fill_triangular(0.25 * p)
/external/tensorflow/tensorflow/contrib/bayesflow/python/ops/
H A Dcsiszar_divergence_impl.py50 from tensorflow.python.ops.distributions import util as distribution_util namespace
1061 d_ok_result = logu + distribution_util.softplus_inverse(safe_d)
H A Dlayers_dense_variational.py33 from tensorflow.python.ops.distributions import util as distribution_util namespace
1024 seed=distribution_util.gen_new_seed(

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