Make miscellaneous revisions for version 1.3.5 (#828)

* make miscellaneous revisions

* version 1.3.5

* fix pep8

edward/__init__.py

@@ -8,20 +8,22 @@
 from edward import util
 
 # Direct imports for convenience
-from edward.criticisms import evaluate, ppc, ppc_density_plot, \
-    ppc_stat_hist_plot
-from edward.inferences import Inference, MonteCarlo, VariationalInference, \
-    HMC, MetropolisHastings, SGLD, SGHMC, \
-    KLpq, KLqp, ReparameterizationKLqp, ReparameterizationKLKLqp, \
-    ReparameterizationEntropyKLqp, ScoreKLqp, ScoreKLKLqp, ScoreEntropyKLqp, \
-    ScoreRBKLqp, WakeSleep, GANInference, BiGANInference, WGANInference, \
-    ImplicitKLqp, MAP, Laplace, complete_conditional, Gibbs
+from edward.criticisms import (
+    evaluate, ppc, ppc_density_plot, ppc_stat_hist_plot)
+from edward.inferences import (
+    Inference, MonteCarlo, VariationalInference,
+    HMC, MetropolisHastings, SGLD, SGHMC,
+    KLpq, KLqp, ReparameterizationKLqp, ReparameterizationKLKLqp,
+    ReparameterizationEntropyKLqp, ScoreKLqp, ScoreKLKLqp, ScoreEntropyKLqp,
+    ScoreRBKLqp, WakeSleep, GANInference, BiGANInference, WGANInference,
+    ImplicitKLqp, MAP, Laplace, complete_conditional, Gibbs)
 from edward.models import RandomVariable
-from edward.util import check_data, check_latent_vars, copy, dot, \
-    get_ancestors, get_blanket, get_children, get_control_variate_coef, \
-    get_descendants, get_parents, get_session, get_siblings, get_variables, \
-    is_independent, Progbar, random_variables, rbf, set_seed, \
-    to_simplex, transform
+from edward.util import (
+    check_data, check_latent_vars, copy, dot,
+    get_ancestors, get_blanket, get_children, get_control_variate_coef,
+    get_descendants, get_parents, get_session, get_siblings, get_variables,
+    is_independent, Progbar, random_variables, rbf, set_seed,
+    to_simplex, transform)
 from edward.version import __version__, VERSION
 
 from tensorflow.python.util.all_util import remove_undocumented

edward/util/random_variables.py

@@ -11,11 +11,12 @@
 from edward.models.random_variables import TransformedDistribution
 from edward.models import PointMass
 from edward.util.graphs import random_variables
-from tensorflow.contrib.distributions import bijectors
 from tensorflow.core.framework import attr_value_pb2
 from tensorflow.python.framework.ops import set_shapes_for_outputs
 from tensorflow.python.util import compat
 
+tfb = tf.contrib.distributions.bijectors
+
 
 def check_data(data):
   """Check that the data dictionary passed during inference and
@@ -809,13 +810,13 @@ def transform(x, *args, **kwargs):
     x: RandomVariable.
       Continuous random variable to transform.
     *args, **kwargs: optional.
-      Arguments to overwrite when forming the ``TransformedDistribution``.
+      Arguments to overwrite when forming the `TransformedDistribution`.
       For example, manually specify the transformation by passing in
-      the ``bijector`` argument.
+      the `bijector` argument.
 
   Returns:
     RandomVariable.
-    A ``TransformedDistribution`` random variable, or the provided random
+    A `TransformedDistribution` random variable, or the provided random
     variable if no transformation was applied.
 
   #### Examples
@@ -839,13 +840,13 @@ def transform(x, *args, **kwargs):
     raise AttributeError(msg)
 
   if support == '01':
-    bij = bijectors.Invert(bijectors.Sigmoid())
+    bij = tfb.Invert(tfb.Sigmoid())
     new_support = 'real'
   elif support == 'nonnegative':
-    bij = bijectors.Invert(bijectors.Softplus())
+    bij = tfb.Invert(tfb.Softplus())
     new_support = 'real'
   elif support == 'simplex':
-    bij = bijectors.Invert(bijectors.SoftmaxCentered(event_ndims=1))
+    bij = tfb.Invert(tfb.SoftmaxCentered(event_ndims=1))
     new_support = 'multivariate_real'
   elif support in ('real', 'multivariate_real'):
     return x

edward/version.py

@@ -1,2 +1,2 @@
-__version__ = '1.3.4'
+__version__ = '1.3.5'
 VERSION = __version__