Internal change.

PiperOrigin-RevId: 220487789

tensorflow/python/ops/distributions/bernoulli.py

@@ -32,7 +32,7 @@ from tensorflow.python.util import deprecation
 from tensorflow.python.util.tf_export import tf_export
 
 
-@tf_export("distributions.Bernoulli")
+@tf_export(v1=["distributions.Bernoulli"])
 class Bernoulli(distribution.Distribution):
   """Bernoulli distribution.
 

tensorflow/python/ops/distributions/beta.py

@@ -47,7 +47,7 @@ _beta_sample_note = """Note: `x` must have dtype `self.dtype` and be in
 `[0, 1].` It must have a shape compatible with `self.batch_shape()`."""
 
 
-@tf_export("distributions.Beta")
+@tf_export(v1=["distributions.Beta"])
 class Beta(distribution.Distribution):
   """Beta distribution.
 

tensorflow/python/ops/distributions/categorical.py

@@ -59,7 +59,7 @@ def _broadcast_cat_event_and_params(event, params, base_dtype):
   return event, params
 
 
-@tf_export("distributions.Categorical")
+@tf_export(v1=["distributions.Categorical"])
 class Categorical(distribution.Distribution):
   """Categorical distribution.
 

tensorflow/python/ops/distributions/dirichlet.py

@@ -45,7 +45,7 @@ dtype `self.dtype` and be in the `(self.event_shape() - 1)`-simplex, i.e.,
 `self.batch_shape() + self.event_shape()`."""
 
 
-@tf_export("distributions.Dirichlet")
+@tf_export(v1=["distributions.Dirichlet"])
 class Dirichlet(distribution.Distribution):
   """Dirichlet distribution.
 

tensorflow/python/ops/distributions/dirichlet_multinomial.py

@@ -51,7 +51,7 @@ fractional components, and such that
 with `self.concentration` and `self.total_count`."""
 
 
-@tf_export("distributions.DirichletMultinomial")
+@tf_export(v1=["distributions.DirichletMultinomial"])
 class DirichletMultinomial(distribution.Distribution):
   """Dirichlet-Multinomial compound distribution.
 

tensorflow/python/ops/distributions/distribution.py

@@ -212,7 +212,7 @@ class _DistributionMeta(abc.ABCMeta):
     return abc.ABCMeta.__new__(mcs, classname, baseclasses, attrs)
 
 
-@tf_export("distributions.ReparameterizationType")
+@tf_export(v1=["distributions.ReparameterizationType"])
 class ReparameterizationType(object):
   """Instances of this class represent how sampling is reparameterized.
 
@@ -263,7 +263,7 @@ class ReparameterizationType(object):
 # reparameterized distribution support straight-through gradients with
 # respect to all parameters.
 FULLY_REPARAMETERIZED = ReparameterizationType("FULLY_REPARAMETERIZED")
-tf_export("distributions.FULLY_REPARAMETERIZED").export_constant(
+tf_export(v1=["distributions.FULLY_REPARAMETERIZED"]).export_constant(
     __name__, "FULLY_REPARAMETERIZED")
 
 
@@ -271,12 +271,12 @@ tf_export("distributions.FULLY_REPARAMETERIZED").export_constant(
 # reparameterized distribution do not support straight-through gradients for
 # at least some of the parameters.
 NOT_REPARAMETERIZED = ReparameterizationType("NOT_REPARAMETERIZED")
-tf_export("distributions.NOT_REPARAMETERIZED").export_constant(
+tf_export(v1=["distributions.NOT_REPARAMETERIZED"]).export_constant(
     __name__, "NOT_REPARAMETERIZED")
 
 
 @six.add_metaclass(_DistributionMeta)
-@tf_export("distributions.Distribution")
+@tf_export(v1=["distributions.Distribution"])
 class Distribution(_BaseDistribution):
   """A generic probability distribution base class.
 

tensorflow/python/ops/distributions/exponential.py

@@ -37,7 +37,7 @@ __all__ = [
 ]
 
 
-@tf_export("distributions.Exponential")
+@tf_export(v1=["distributions.Exponential"])
 class Exponential(gamma.Gamma):
   """Exponential distribution.
 

tensorflow/python/ops/distributions/gamma.py

@@ -43,7 +43,7 @@ __all__ = [
 ]
 
 
-@tf_export("distributions.Gamma")
+@tf_export(v1=["distributions.Gamma"])
 class Gamma(distribution.Distribution):
   """Gamma distribution.
 

tensorflow/python/ops/distributions/kullback_leibler.py

@@ -60,7 +60,7 @@ def _registered_kl(type_a, type_b):
     "should update all references to use `tfp.distributions` "
     "instead of `tf.distributions`.",
     warn_once=True)
-@tf_export("distributions.kl_divergence")
+@tf_export(v1=["distributions.kl_divergence"])
 def kl_divergence(distribution_a, distribution_b,
                   allow_nan_stats=True, name=None):
   """Get the KL-divergence KL(distribution_a || distribution_b).
@@ -161,7 +161,7 @@ def cross_entropy(ref, other,
         ref, other, allow_nan_stats=allow_nan_stats)
 
 
-@tf_export("distributions.RegisterKL")
+@tf_export(v1=["distributions.RegisterKL"])
 class RegisterKL(object):
   """Decorator to register a KL divergence implementation function.
 

tensorflow/python/ops/distributions/laplace.py

@@ -43,7 +43,7 @@ __all__ = [
 ]
 
 
-@tf_export("distributions.Laplace")
+@tf_export(v1=["distributions.Laplace"])
 class Laplace(distribution.Distribution):
   """The Laplace distribution with location `loc` and `scale` parameters.
 

tensorflow/python/ops/distributions/multinomial.py

@@ -52,7 +52,7 @@ fractional components, and such that
 with `self.probs` and `self.total_count`."""
 
 
-@tf_export("distributions.Multinomial")
+@tf_export(v1=["distributions.Multinomial"])
 class Multinomial(distribution.Distribution):
   """Multinomial distribution.
 

tensorflow/python/ops/distributions/normal.py

@@ -42,7 +42,7 @@ __all__ = [
 ]
 
 
-@tf_export("distributions.Normal")
+@tf_export(v1=["distributions.Normal"])
 class Normal(distribution.Distribution):
   """The Normal distribution with location `loc` and `scale` parameters.
 

tensorflow/python/ops/distributions/student_t.py

@@ -43,7 +43,7 @@ __all__ = [
 ]
 
 
-@tf_export("distributions.StudentT")
+@tf_export(v1=["distributions.StudentT"])
 class StudentT(distribution.Distribution):
   """Student's t-distribution.
 

tensorflow/python/ops/distributions/uniform.py

@@ -33,7 +33,7 @@ from tensorflow.python.util import deprecation
 from tensorflow.python.util.tf_export import tf_export
 
 
-@tf_export("distributions.Uniform")
+@tf_export(v1=["distributions.Uniform"])
 class Uniform(distribution.Distribution):
   """Uniform distribution with `low` and `high` parameters.
 

tensorflow/python/tools/api/generator/api_init_files.bzl

@@ -10,7 +10,6 @@ TENSORFLOW_API_INIT_FILES = [
     "data/__init__.py",
     "data/experimental/__init__.py",
     "debugging/__init__.py",
-    "distributions/__init__.py",
     "dtypes/__init__.py",
     "errors/__init__.py",
     "experimental/__init__.py",

tensorflow/tools/api/golden/v2/tensorflow.distributions.-bernoulli.pbtxt

@@ -1,143 +0,0 @@
-path: "tensorflow.distributions.Bernoulli"
-tf_class {
-  is_instance: "<class \'tensorflow.python.ops.distributions.bernoulli.Bernoulli\'>"
-  is_instance: "<class \'tensorflow.python.ops.distributions.distribution.Distribution\'>"
-  is_instance: "<class \'tensorflow.python.ops.distributions.distribution._BaseDistribution\'>"
-  is_instance: "<type \'object\'>"
-  member {
-    name: "allow_nan_stats"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "batch_shape"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "dtype"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "event_shape"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "logits"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "name"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "parameters"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "probs"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "reparameterization_type"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "validate_args"
-    mtype: "<type \'property\'>"
-  }
-  member_method {
-    name: "__init__"
-    argspec: "args=[\'self\', \'logits\', \'probs\', \'dtype\', \'validate_args\', \'allow_nan_stats\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \"<dtype: \'int32\'>\", \'False\', \'True\', \'Bernoulli\'], "
-  }
-  member_method {
-    name: "batch_shape_tensor"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
-  }
-  member_method {
-    name: "cdf"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'cdf\'], "
-  }
-  member_method {
-    name: "copy"
-    argspec: "args=[\'self\'], varargs=None, keywords=override_parameters_kwargs, defaults=None"
-  }
-  member_method {
-    name: "covariance"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'covariance\'], "
-  }
-  member_method {
-    name: "cross_entropy"
-    argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'cross_entropy\'], "
-  }
-  member_method {
-    name: "entropy"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'entropy\'], "
-  }
-  member_method {
-    name: "event_shape_tensor"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'event_shape_tensor\'], "
-  }
-  member_method {
-    name: "is_scalar_batch"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_batch\'], "
-  }
-  member_method {
-    name: "is_scalar_event"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_event\'], "
-  }
-  member_method {
-    name: "kl_divergence"
-    argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'kl_divergence\'], "
-  }
-  member_method {
-    name: "log_cdf"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_cdf\'], "
-  }
-  member_method {
-    name: "log_prob"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_prob\'], "
-  }
-  member_method {
-    name: "log_survival_function"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_survival_function\'], "
-  }
-  member_method {
-    name: "mean"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mean\'], "
-  }
-  member_method {
-    name: "mode"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mode\'], "
-  }
-  member_method {
-    name: "param_shapes"
-    argspec: "args=[\'cls\', \'sample_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'DistributionParamShapes\'], "
-  }
-  member_method {
-    name: "param_static_shapes"
-    argspec: "args=[\'cls\', \'sample_shape\'], varargs=None, keywords=None, defaults=None"
-  }
-  member_method {
-    name: "prob"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'prob\'], "
-  }
-  member_method {
-    name: "quantile"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'quantile\'], "
-  }
-  member_method {
-    name: "sample"
-    argspec: "args=[\'self\', \'sample_shape\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'()\', \'None\', \'sample\'], "
-  }
-  member_method {
-    name: "stddev"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'stddev\'], "
-  }
-  member_method {
-    name: "survival_function"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'survival_function\'], "
-  }
-  member_method {
-    name: "variance"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'variance\'], "
-  }
-}

tensorflow/tools/api/golden/v2/tensorflow.distributions.-beta.pbtxt

@@ -1,147 +0,0 @@
-path: "tensorflow.distributions.Beta"
-tf_class {
-  is_instance: "<class \'tensorflow.python.ops.distributions.beta.Beta\'>"
-  is_instance: "<class \'tensorflow.python.ops.distributions.distribution.Distribution\'>"
-  is_instance: "<class \'tensorflow.python.ops.distributions.distribution._BaseDistribution\'>"
-  is_instance: "<type \'object\'>"
-  member {
-    name: "allow_nan_stats"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "batch_shape"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "concentration0"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "concentration1"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "dtype"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "event_shape"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "name"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "parameters"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "reparameterization_type"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "total_concentration"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "validate_args"
-    mtype: "<type \'property\'>"
-  }
-  member_method {
-    name: "__init__"
-    argspec: "args=[\'self\', \'concentration1\', \'concentration0\', \'validate_args\', \'allow_nan_stats\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'False\', \'True\', \'Beta\'], "
-  }
-  member_method {
-    name: "batch_shape_tensor"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
-  }
-  member_method {
-    name: "cdf"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'cdf\'], "
-  }
-  member_method {
-    name: "copy"
-    argspec: "args=[\'self\'], varargs=None, keywords=override_parameters_kwargs, defaults=None"
-  }
-  member_method {
-    name: "covariance"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'covariance\'], "
-  }
-  member_method {
-    name: "cross_entropy"
-    argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'cross_entropy\'], "
-  }
-  member_method {
-    name: "entropy"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'entropy\'], "
-  }
-  member_method {
-    name: "event_shape_tensor"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'event_shape_tensor\'], "
-  }
-  member_method {
-    name: "is_scalar_batch"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_batch\'], "
-  }
-  member_method {
-    name: "is_scalar_event"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_event\'], "
-  }
-  member_method {
-    name: "kl_divergence"
-    argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'kl_divergence\'], "
-  }
-  member_method {
-    name: "log_cdf"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_cdf\'], "
-  }
-  member_method {
-    name: "log_prob"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_prob\'], "
-  }
-  member_method {
-    name: "log_survival_function"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_survival_function\'], "
-  }
-  member_method {
-    name: "mean"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mean\'], "
-  }
-  member_method {
-    name: "mode"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mode\'], "
-  }
-  member_method {
-    name: "param_shapes"
-    argspec: "args=[\'cls\', \'sample_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'DistributionParamShapes\'], "
-  }
-  member_method {
-    name: "param_static_shapes"
-    argspec: "args=[\'cls\', \'sample_shape\'], varargs=None, keywords=None, defaults=None"
-  }
-  member_method {
-    name: "prob"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'prob\'], "
-  }
-  member_method {
-    name: "quantile"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'quantile\'], "
-  }
-  member_method {
-    name: "sample"
-    argspec: "args=[\'self\', \'sample_shape\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'()\', \'None\', \'sample\'], "
-  }
-  member_method {
-    name: "stddev"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'stddev\'], "
-  }
-  member_method {
-    name: "survival_function"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'survival_function\'], "
-  }
-  member_method {
-    name: "variance"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'variance\'], "
-  }
-}

tensorflow/tools/api/golden/v2/tensorflow.distributions.-categorical.pbtxt

@@ -1,147 +0,0 @@
-path: "tensorflow.distributions.Categorical"
-tf_class {
-  is_instance: "<class \'tensorflow.python.ops.distributions.categorical.Categorical\'>"
-  is_instance: "<class \'tensorflow.python.ops.distributions.distribution.Distribution\'>"
-  is_instance: "<class \'tensorflow.python.ops.distributions.distribution._BaseDistribution\'>"
-  is_instance: "<type \'object\'>"
-  member {
-    name: "allow_nan_stats"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "batch_shape"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "dtype"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "event_shape"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "event_size"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "logits"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "name"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "parameters"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "probs"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "reparameterization_type"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "validate_args"
-    mtype: "<type \'property\'>"
-  }
-  member_method {
-    name: "__init__"
-    argspec: "args=[\'self\', \'logits\', \'probs\', \'dtype\', \'validate_args\', \'allow_nan_stats\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \"<dtype: \'int32\'>\", \'False\', \'True\', \'Categorical\'], "
-  }
-  member_method {
-    name: "batch_shape_tensor"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
-  }
-  member_method {
-    name: "cdf"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'cdf\'], "
-  }
-  member_method {
-    name: "copy"
-    argspec: "args=[\'self\'], varargs=None, keywords=override_parameters_kwargs, defaults=None"
-  }
-  member_method {
-    name: "covariance"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'covariance\'], "
-  }
-  member_method {
-    name: "cross_entropy"
-    argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'cross_entropy\'], "
-  }
-  member_method {
-    name: "entropy"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'entropy\'], "
-  }
-  member_method {
-    name: "event_shape_tensor"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'event_shape_tensor\'], "
-  }
-  member_method {
-    name: "is_scalar_batch"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_batch\'], "
-  }
-  member_method {
-    name: "is_scalar_event"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_event\'], "
-  }
-  member_method {
-    name: "kl_divergence"
-    argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'kl_divergence\'], "
-  }
-  member_method {
-    name: "log_cdf"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_cdf\'], "
-  }
-  member_method {
-    name: "log_prob"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_prob\'], "
-  }
-  member_method {
-    name: "log_survival_function"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_survival_function\'], "
-  }
-  member_method {
-    name: "mean"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mean\'], "
-  }
-  member_method {
-    name: "mode"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mode\'], "
-  }
-  member_method {
-    name: "param_shapes"
-    argspec: "args=[\'cls\', \'sample_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'DistributionParamShapes\'], "
-  }
-  member_method {
-    name: "param_static_shapes"
-    argspec: "args=[\'cls\', \'sample_shape\'], varargs=None, keywords=None, defaults=None"
-  }
-  member_method {
-    name: "prob"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'prob\'], "
-  }
-  member_method {
-    name: "quantile"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'quantile\'], "
-  }
-  member_method {
-    name: "sample"
-    argspec: "args=[\'self\', \'sample_shape\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'()\', \'None\', \'sample\'], "
-  }
-  member_method {
-    name: "stddev"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'stddev\'], "
-  }
-  member_method {
-    name: "survival_function"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'survival_function\'], "
-  }
-  member_method {
-    name: "variance"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'variance\'], "
-  }
-}

tensorflow/tools/api/golden/v2/tensorflow.distributions.-dirichlet-multinomial.pbtxt

@@ -1,147 +0,0 @@
-path: "tensorflow.distributions.DirichletMultinomial"
-tf_class {
-  is_instance: "<class \'tensorflow.python.ops.distributions.dirichlet_multinomial.DirichletMultinomial\'>"
-  is_instance: "<class \'tensorflow.python.ops.distributions.distribution.Distribution\'>"
-  is_instance: "<class \'tensorflow.python.ops.distributions.distribution._BaseDistribution\'>"
-  is_instance: "<type \'object\'>"
-  member {
-    name: "allow_nan_stats"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "batch_shape"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "concentration"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "dtype"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "event_shape"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "name"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "parameters"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "reparameterization_type"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "total_concentration"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "total_count"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "validate_args"
-    mtype: "<type \'property\'>"
-  }
-  member_method {
-    name: "__init__"
-    argspec: "args=[\'self\', \'total_count\', \'concentration\', \'validate_args\', \'allow_nan_stats\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'True\', \'DirichletMultinomial\'], "
-  }
-  member_method {
-    name: "batch_shape_tensor"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
-  }
-  member_method {
-    name: "cdf"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'cdf\'], "
-  }
-  member_method {
-    name: "copy"
-    argspec: "args=[\'self\'], varargs=None, keywords=override_parameters_kwargs, defaults=None"
-  }
-  member_method {
-    name: "covariance"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'covariance\'], "
-  }
-  member_method {
-    name: "cross_entropy"
-    argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'cross_entropy\'], "
-  }
-  member_method {
-    name: "entropy"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'entropy\'], "
-  }
-  member_method {
-    name: "event_shape_tensor"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'event_shape_tensor\'], "
-  }
-  member_method {
-    name: "is_scalar_batch"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_batch\'], "
-  }
-  member_method {
-    name: "is_scalar_event"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_event\'], "
-  }
-  member_method {
-    name: "kl_divergence"
-    argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'kl_divergence\'], "
-  }
-  member_method {
-    name: "log_cdf"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_cdf\'], "
-  }
-  member_method {
-    name: "log_prob"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_prob\'], "
-  }
-  member_method {
-    name: "log_survival_function"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_survival_function\'], "
-  }
-  member_method {
-    name: "mean"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mean\'], "
-  }
-  member_method {
-    name: "mode"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mode\'], "
-  }
-  member_method {
-    name: "param_shapes"
-    argspec: "args=[\'cls\', \'sample_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'DistributionParamShapes\'], "
-  }
-  member_method {
-    name: "param_static_shapes"
-    argspec: "args=[\'cls\', \'sample_shape\'], varargs=None, keywords=None, defaults=None"
-  }
-  member_method {
-    name: "prob"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'prob\'], "
-  }
-  member_method {
-    name: "quantile"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'quantile\'], "
-  }
-  member_method {
-    name: "sample"
-    argspec: "args=[\'self\', \'sample_shape\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'()\', \'None\', \'sample\'], "
-  }
-  member_method {
-    name: "stddev"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'stddev\'], "
-  }
-  member_method {
-    name: "survival_function"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'survival_function\'], "
-  }
-  member_method {
-    name: "variance"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'variance\'], "
-  }
-}

tensorflow/tools/api/golden/v2/tensorflow.distributions.-dirichlet.pbtxt

@@ -1,143 +0,0 @@
-path: "tensorflow.distributions.Dirichlet"
-tf_class {
-  is_instance: "<class \'tensorflow.python.ops.distributions.dirichlet.Dirichlet\'>"
-  is_instance: "<class \'tensorflow.python.ops.distributions.distribution.Distribution\'>"
-  is_instance: "<class \'tensorflow.python.ops.distributions.distribution._BaseDistribution\'>"
-  is_instance: "<type \'object\'>"
-  member {
-    name: "allow_nan_stats"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "batch_shape"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "concentration"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "dtype"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "event_shape"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "name"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "parameters"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "reparameterization_type"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "total_concentration"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "validate_args"
-    mtype: "<type \'property\'>"
-  }
-  member_method {
-    name: "__init__"
-    argspec: "args=[\'self\', \'concentration\', \'validate_args\', \'allow_nan_stats\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'True\', \'Dirichlet\'], "
-  }
-  member_method {
-    name: "batch_shape_tensor"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
-  }
-  member_method {
-    name: "cdf"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'cdf\'], "
-  }
-  member_method {
-    name: "copy"
-    argspec: "args=[\'self\'], varargs=None, keywords=override_parameters_kwargs, defaults=None"
-  }
-  member_method {
-    name: "covariance"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'covariance\'], "
-  }
-  member_method {
-    name: "cross_entropy"
-    argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'cross_entropy\'], "
-  }
-  member_method {
-    name: "entropy"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'entropy\'], "
-  }
-  member_method {
-    name: "event_shape_tensor"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'event_shape_tensor\'], "
-  }
-  member_method {
-    name: "is_scalar_batch"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_batch\'], "
-  }
-  member_method {
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-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_event\'], "
-  }
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-    argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'kl_divergence\'], "
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-    name: "log_prob"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_prob\'], "
-  }
-  member_method {
-    name: "log_survival_function"
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-  }
-  member_method {
-    name: "mean"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mean\'], "
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-    name: "mode"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mode\'], "
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-  }
-  member_method {
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-    argspec: "args=[\'cls\', \'sample_shape\'], varargs=None, keywords=None, defaults=None"
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-  member_method {
-    name: "prob"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'prob\'], "
-  }
-  member_method {
-    name: "quantile"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'quantile\'], "
-  }
-  member_method {
-    name: "sample"
-    argspec: "args=[\'self\', \'sample_shape\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'()\', \'None\', \'sample\'], "
-  }
-  member_method {
-    name: "stddev"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'stddev\'], "
-  }
-  member_method {
-    name: "survival_function"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'survival_function\'], "
-  }
-  member_method {
-    name: "variance"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'variance\'], "
-  }
-}

tensorflow/tools/api/golden/v2/tensorflow.distributions.-distribution.pbtxt

@@ -1,134 +0,0 @@
-path: "tensorflow.distributions.Distribution"
-tf_class {
-  is_instance: "<class \'tensorflow.python.ops.distributions.distribution.Distribution\'>"
-  is_instance: "<class \'tensorflow.python.ops.distributions.distribution._BaseDistribution\'>"
-  is_instance: "<type \'object\'>"
-  member {
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-    mtype: "<type \'property\'>"
-  }
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-    mtype: "<type \'property\'>"
-  }
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-    name: "dtype"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "event_shape"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "name"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "parameters"
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-  }
-  member {
-    name: "reparameterization_type"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "validate_args"
-    mtype: "<type \'property\'>"
-  }
-  member_method {
-    name: "__init__"
-    argspec: "args=[\'self\', \'dtype\', \'reparameterization_type\', \'validate_args\', \'allow_nan_stats\', \'parameters\', \'graph_parents\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
-  }
-  member_method {
-    name: "batch_shape_tensor"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
-  }
-  member_method {
-    name: "cdf"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'cdf\'], "
-  }
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-    name: "copy"
-    argspec: "args=[\'self\'], varargs=None, keywords=override_parameters_kwargs, defaults=None"
-  }
-  member_method {
-    name: "covariance"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'covariance\'], "
-  }
-  member_method {
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-    name: "entropy"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'entropy\'], "
-  }
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-    name: "log_survival_function"
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-  member_method {
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-  }
-}

tensorflow/tools/api/golden/v2/tensorflow.distributions.-exponential.pbtxt

@@ -1,144 +0,0 @@
-path: "tensorflow.distributions.Exponential"
-tf_class {
-  is_instance: "<class \'tensorflow.python.ops.distributions.exponential.Exponential\'>"
-  is_instance: "<class \'tensorflow.python.ops.distributions.gamma.Gamma\'>"
-  is_instance: "<class \'tensorflow.python.ops.distributions.distribution.Distribution\'>"
-  is_instance: "<class \'tensorflow.python.ops.distributions.distribution._BaseDistribution\'>"
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-  }
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-  }
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-  }
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-  }
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-  }
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-  }
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-  }
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-    argspec: "args=[\'self\', \'sample_shape\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'()\', \'None\', \'sample\'], "
-  }
-  member_method {
-    name: "stddev"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'stddev\'], "
-  }
-  member_method {
-    name: "survival_function"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'survival_function\'], "
-  }
-  member_method {
-    name: "variance"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'variance\'], "
-  }
-}

tensorflow/tools/api/golden/v2/tensorflow.distributions.-gamma.pbtxt

@@ -1,143 +0,0 @@
-path: "tensorflow.distributions.Gamma"
-tf_class {
-  is_instance: "<class \'tensorflow.python.ops.distributions.gamma.Gamma\'>"
-  is_instance: "<class \'tensorflow.python.ops.distributions.distribution.Distribution\'>"
-  is_instance: "<class \'tensorflow.python.ops.distributions.distribution._BaseDistribution\'>"
-  is_instance: "<type \'object\'>"
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-  }
-  member {
-    name: "batch_shape"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "concentration"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "dtype"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "event_shape"
-    mtype: "<type \'property\'>"
-  }
-  member {
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-  }
-  member {
-    name: "parameters"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "rate"
-    mtype: "<type \'property\'>"
-  }
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-    name: "reparameterization_type"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "validate_args"
-    mtype: "<type \'property\'>"
-  }
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-    argspec: "args=[\'self\', \'concentration\', \'rate\', \'validate_args\', \'allow_nan_stats\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'True\', \'Gamma\'], "
-  }
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-    name: "batch_shape_tensor"
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-  }
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-    name: "cdf"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'cdf\'], "
-  }
-  member_method {
-    name: "copy"
-    argspec: "args=[\'self\'], varargs=None, keywords=override_parameters_kwargs, defaults=None"
-  }
-  member_method {
-    name: "covariance"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'covariance\'], "
-  }
-  member_method {
-    name: "cross_entropy"
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-  }
-  member_method {
-    name: "entropy"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'entropy\'], "
-  }
-  member_method {
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-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'event_shape_tensor\'], "
-  }
-  member_method {
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-  }
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-    argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'kl_divergence\'], "
-  }
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-    name: "log_prob"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_prob\'], "
-  }
-  member_method {
-    name: "log_survival_function"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_survival_function\'], "
-  }
-  member_method {
-    name: "mean"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mean\'], "
-  }
-  member_method {
-    name: "mode"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mode\'], "
-  }
-  member_method {
-    name: "param_shapes"
-    argspec: "args=[\'cls\', \'sample_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'DistributionParamShapes\'], "
-  }
-  member_method {
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-    argspec: "args=[\'cls\', \'sample_shape\'], varargs=None, keywords=None, defaults=None"
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-    name: "prob"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'prob\'], "
-  }
-  member_method {
-    name: "quantile"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'quantile\'], "
-  }
-  member_method {
-    name: "sample"
-    argspec: "args=[\'self\', \'sample_shape\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'()\', \'None\', \'sample\'], "
-  }
-  member_method {
-    name: "stddev"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'stddev\'], "
-  }
-  member_method {
-    name: "survival_function"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'survival_function\'], "
-  }
-  member_method {
-    name: "variance"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'variance\'], "
-  }
-}

tensorflow/tools/api/golden/v2/tensorflow.distributions.-laplace.pbtxt

@@ -1,143 +0,0 @@
-path: "tensorflow.distributions.Laplace"
-tf_class {
-  is_instance: "<class \'tensorflow.python.ops.distributions.laplace.Laplace\'>"
-  is_instance: "<class \'tensorflow.python.ops.distributions.distribution.Distribution\'>"
-  is_instance: "<class \'tensorflow.python.ops.distributions.distribution._BaseDistribution\'>"
-  is_instance: "<type \'object\'>"
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-    mtype: "<type \'property\'>"
-  }
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-  }
-  member {
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-  }
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-    name: "covariance"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'covariance\'], "
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-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'entropy\'], "
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-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'event_shape_tensor\'], "
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-  member_method {
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-  }
-}

tensorflow/tools/api/golden/v2/tensorflow.distributions.-multinomial.pbtxt

@@ -1,147 +0,0 @@
-path: "tensorflow.distributions.Multinomial"
-tf_class {
-  is_instance: "<class \'tensorflow.python.ops.distributions.multinomial.Multinomial\'>"
-  is_instance: "<class \'tensorflow.python.ops.distributions.distribution.Distribution\'>"
-  is_instance: "<class \'tensorflow.python.ops.distributions.distribution._BaseDistribution\'>"
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-  }
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-  }
-}

tensorflow/tools/api/golden/v2/tensorflow.distributions.-normal.pbtxt

@@ -1,143 +0,0 @@
-path: "tensorflow.distributions.Normal"
-tf_class {
-  is_instance: "<class \'tensorflow.python.ops.distributions.normal.Normal\'>"
-  is_instance: "<class \'tensorflow.python.ops.distributions.distribution.Distribution\'>"
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-  }
-  member_method {
-    name: "sample"
-    argspec: "args=[\'self\', \'sample_shape\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'()\', \'None\', \'sample\'], "
-  }
-  member_method {
-    name: "stddev"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'stddev\'], "
-  }
-  member_method {
-    name: "survival_function"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'survival_function\'], "
-  }
-  member_method {
-    name: "variance"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'variance\'], "
-  }
-}

tensorflow/tools/api/golden/v2/tensorflow.distributions.-register-k-l.pbtxt

@@ -1,9 +0,0 @@
-path: "tensorflow.distributions.RegisterKL"
-tf_class {
-  is_instance: "<class \'tensorflow.python.ops.distributions.kullback_leibler.RegisterKL\'>"
-  is_instance: "<type \'object\'>"
-  member_method {
-    name: "__init__"
-    argspec: "args=[\'self\', \'dist_cls_a\', \'dist_cls_b\'], varargs=None, keywords=None, defaults=None"
-  }
-}

tensorflow/tools/api/golden/v2/tensorflow.distributions.-reparameterization-type.pbtxt

@@ -1,9 +0,0 @@
-path: "tensorflow.distributions.ReparameterizationType"
-tf_class {
-  is_instance: "<class \'tensorflow.python.ops.distributions.distribution.ReparameterizationType\'>"
-  is_instance: "<type \'object\'>"
-  member_method {
-    name: "__init__"
-    argspec: "args=[\'self\', \'rep_type\'], varargs=None, keywords=None, defaults=None"
-  }
-}

tensorflow/tools/api/golden/v2/tensorflow.distributions.-student-t.pbtxt

@@ -1,147 +0,0 @@
-path: "tensorflow.distributions.StudentT"
-tf_class {
-  is_instance: "<class \'tensorflow.python.ops.distributions.student_t.StudentT\'>"
-  is_instance: "<class \'tensorflow.python.ops.distributions.distribution.Distribution\'>"
-  is_instance: "<class \'tensorflow.python.ops.distributions.distribution._BaseDistribution\'>"
-  is_instance: "<type \'object\'>"
-  member {
-    name: "allow_nan_stats"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "batch_shape"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "df"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "dtype"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "event_shape"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "loc"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "name"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "parameters"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "reparameterization_type"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "scale"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "validate_args"
-    mtype: "<type \'property\'>"
-  }
-  member_method {
-    name: "__init__"
-    argspec: "args=[\'self\', \'df\', \'loc\', \'scale\', \'validate_args\', \'allow_nan_stats\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'True\', \'StudentT\'], "
-  }
-  member_method {
-    name: "batch_shape_tensor"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
-  }
-  member_method {
-    name: "cdf"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'cdf\'], "
-  }
-  member_method {
-    name: "copy"
-    argspec: "args=[\'self\'], varargs=None, keywords=override_parameters_kwargs, defaults=None"
-  }
-  member_method {
-    name: "covariance"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'covariance\'], "
-  }
-  member_method {
-    name: "cross_entropy"
-    argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'cross_entropy\'], "
-  }
-  member_method {
-    name: "entropy"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'entropy\'], "
-  }
-  member_method {
-    name: "event_shape_tensor"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'event_shape_tensor\'], "
-  }
-  member_method {
-    name: "is_scalar_batch"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_batch\'], "
-  }
-  member_method {
-    name: "is_scalar_event"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_event\'], "
-  }
-  member_method {
-    name: "kl_divergence"
-    argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'kl_divergence\'], "
-  }
-  member_method {
-    name: "log_cdf"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_cdf\'], "
-  }
-  member_method {
-    name: "log_prob"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_prob\'], "
-  }
-  member_method {
-    name: "log_survival_function"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_survival_function\'], "
-  }
-  member_method {
-    name: "mean"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mean\'], "
-  }
-  member_method {
-    name: "mode"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mode\'], "
-  }
-  member_method {
-    name: "param_shapes"
-    argspec: "args=[\'cls\', \'sample_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'DistributionParamShapes\'], "
-  }
-  member_method {
-    name: "param_static_shapes"
-    argspec: "args=[\'cls\', \'sample_shape\'], varargs=None, keywords=None, defaults=None"
-  }
-  member_method {
-    name: "prob"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'prob\'], "
-  }
-  member_method {
-    name: "quantile"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'quantile\'], "
-  }
-  member_method {
-    name: "sample"
-    argspec: "args=[\'self\', \'sample_shape\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'()\', \'None\', \'sample\'], "
-  }
-  member_method {
-    name: "stddev"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'stddev\'], "
-  }
-  member_method {
-    name: "survival_function"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'survival_function\'], "
-  }
-  member_method {
-    name: "variance"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'variance\'], "
-  }
-}

tensorflow/tools/api/golden/v2/tensorflow.distributions.-uniform.pbtxt

@@ -1,147 +0,0 @@
-path: "tensorflow.distributions.Uniform"
-tf_class {
-  is_instance: "<class \'tensorflow.python.ops.distributions.uniform.Uniform\'>"
-  is_instance: "<class \'tensorflow.python.ops.distributions.distribution.Distribution\'>"
-  is_instance: "<class \'tensorflow.python.ops.distributions.distribution._BaseDistribution\'>"
-  is_instance: "<type \'object\'>"
-  member {
-    name: "allow_nan_stats"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "batch_shape"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "dtype"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "event_shape"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "high"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "low"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "name"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "parameters"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "reparameterization_type"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "validate_args"
-    mtype: "<type \'property\'>"
-  }
-  member_method {
-    name: "__init__"
-    argspec: "args=[\'self\', \'low\', \'high\', \'validate_args\', \'allow_nan_stats\', \'name\'], varargs=None, keywords=None, defaults=[\'0.0\', \'1.0\', \'False\', \'True\', \'Uniform\'], "
-  }
-  member_method {
-    name: "batch_shape_tensor"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
-  }
-  member_method {
-    name: "cdf"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'cdf\'], "
-  }
-  member_method {
-    name: "copy"
-    argspec: "args=[\'self\'], varargs=None, keywords=override_parameters_kwargs, defaults=None"
-  }
-  member_method {
-    name: "covariance"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'covariance\'], "
-  }
-  member_method {
-    name: "cross_entropy"
-    argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'cross_entropy\'], "
-  }
-  member_method {
-    name: "entropy"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'entropy\'], "
-  }
-  member_method {
-    name: "event_shape_tensor"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'event_shape_tensor\'], "
-  }
-  member_method {
-    name: "is_scalar_batch"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_batch\'], "
-  }
-  member_method {
-    name: "is_scalar_event"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_event\'], "
-  }
-  member_method {
-    name: "kl_divergence"
-    argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'kl_divergence\'], "
-  }
-  member_method {
-    name: "log_cdf"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_cdf\'], "
-  }
-  member_method {
-    name: "log_prob"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_prob\'], "
-  }
-  member_method {
-    name: "log_survival_function"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_survival_function\'], "
-  }
-  member_method {
-    name: "mean"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mean\'], "
-  }
-  member_method {
-    name: "mode"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mode\'], "
-  }
-  member_method {
-    name: "param_shapes"
-    argspec: "args=[\'cls\', \'sample_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'DistributionParamShapes\'], "
-  }
-  member_method {
-    name: "param_static_shapes"
-    argspec: "args=[\'cls\', \'sample_shape\'], varargs=None, keywords=None, defaults=None"
-  }
-  member_method {
-    name: "prob"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'prob\'], "
-  }
-  member_method {
-    name: "quantile"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'quantile\'], "
-  }
-  member_method {
-    name: "range"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'range\'], "
-  }
-  member_method {
-    name: "sample"
-    argspec: "args=[\'self\', \'sample_shape\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'()\', \'None\', \'sample\'], "
-  }
-  member_method {
-    name: "stddev"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'stddev\'], "
-  }
-  member_method {
-    name: "survival_function"
-    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'survival_function\'], "
-  }
-  member_method {
-    name: "variance"
-    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'variance\'], "
-  }
-}

tensorflow/tools/api/golden/v2/tensorflow.distributions.pbtxt

@@ -1,75 +0,0 @@
-path: "tensorflow.distributions"
-tf_module {
-  member {
-    name: "Bernoulli"
-    mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>"
-  }
-  member {
-    name: "Beta"
-    mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>"
-  }
-  member {
-    name: "Categorical"
-    mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>"
-  }
-  member {
-    name: "Dirichlet"
-    mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>"
-  }
-  member {
-    name: "DirichletMultinomial"
-    mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>"
-  }
-  member {
-    name: "Distribution"
-    mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>"
-  }
-  member {
-    name: "Exponential"
-    mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>"
-  }
-  member {
-    name: "FULLY_REPARAMETERIZED"
-    mtype: "<class \'tensorflow.python.ops.distributions.distribution.ReparameterizationType\'>"
-  }
-  member {
-    name: "Gamma"
-    mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>"
-  }
-  member {
-    name: "Laplace"
-    mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>"
-  }
-  member {
-    name: "Multinomial"
-    mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>"
-  }
-  member {
-    name: "NOT_REPARAMETERIZED"
-    mtype: "<class \'tensorflow.python.ops.distributions.distribution.ReparameterizationType\'>"
-  }
-  member {
-    name: "Normal"
-    mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>"
-  }
-  member {
-    name: "RegisterKL"
-    mtype: "<type \'type\'>"
-  }
-  member {
-    name: "ReparameterizationType"
-    mtype: "<type \'type\'>"
-  }
-  member {
-    name: "StudentT"
-    mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>"
-  }
-  member {
-    name: "Uniform"
-    mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>"
-  }
-  member_method {
-    name: "kl_divergence"
-    argspec: "args=[\'distribution_a\', \'distribution_b\', \'allow_nan_stats\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
-  }
-}

tensorflow/tools/api/golden/v2/tensorflow.pbtxt

@@ -216,10 +216,6 @@ tf_module {
     name: "debugging"
     mtype: "<type \'module\'>"
   }
-  member {
-    name: "distributions"
-    mtype: "<type \'module\'>"
-  }
   member {
     name: "double"
     mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"