diff --git a/tensorflow/python/ops/distributions/bernoulli.py b/tensorflow/python/ops/distributions/bernoulli.py index baecc321d38..4fb598aef4d 100644 --- a/tensorflow/python/ops/distributions/bernoulli.py +++ b/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. diff --git a/tensorflow/python/ops/distributions/beta.py b/tensorflow/python/ops/distributions/beta.py index 51c4f6eb3d0..1d1a666317f 100644 --- a/tensorflow/python/ops/distributions/beta.py +++ b/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. diff --git a/tensorflow/python/ops/distributions/categorical.py b/tensorflow/python/ops/distributions/categorical.py index 09d7e0e6804..33a84356250 100644 --- a/tensorflow/python/ops/distributions/categorical.py +++ b/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. diff --git a/tensorflow/python/ops/distributions/dirichlet.py b/tensorflow/python/ops/distributions/dirichlet.py index 675c30b3833..971ce46efbc 100644 --- a/tensorflow/python/ops/distributions/dirichlet.py +++ b/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. diff --git a/tensorflow/python/ops/distributions/dirichlet_multinomial.py b/tensorflow/python/ops/distributions/dirichlet_multinomial.py index 2e3151a5ab4..8ce01f6b957 100644 --- a/tensorflow/python/ops/distributions/dirichlet_multinomial.py +++ b/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. diff --git a/tensorflow/python/ops/distributions/distribution.py b/tensorflow/python/ops/distributions/distribution.py index 11247a39bca..d551830fb84 100644 --- a/tensorflow/python/ops/distributions/distribution.py +++ b/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. diff --git a/tensorflow/python/ops/distributions/exponential.py b/tensorflow/python/ops/distributions/exponential.py index 6a52af8c33e..8b79a5d4abd 100644 --- a/tensorflow/python/ops/distributions/exponential.py +++ b/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. diff --git a/tensorflow/python/ops/distributions/gamma.py b/tensorflow/python/ops/distributions/gamma.py index 4a2db208d40..57505d1b131 100644 --- a/tensorflow/python/ops/distributions/gamma.py +++ b/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. diff --git a/tensorflow/python/ops/distributions/kullback_leibler.py b/tensorflow/python/ops/distributions/kullback_leibler.py index 12743fa23d6..5c6745b0fe0 100644 --- a/tensorflow/python/ops/distributions/kullback_leibler.py +++ b/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. diff --git a/tensorflow/python/ops/distributions/laplace.py b/tensorflow/python/ops/distributions/laplace.py index 4f6a8f587d1..a96b58ba1a6 100644 --- a/tensorflow/python/ops/distributions/laplace.py +++ b/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. diff --git a/tensorflow/python/ops/distributions/multinomial.py b/tensorflow/python/ops/distributions/multinomial.py index 8397353cd5e..97d2b1b26c6 100644 --- a/tensorflow/python/ops/distributions/multinomial.py +++ b/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. diff --git a/tensorflow/python/ops/distributions/normal.py b/tensorflow/python/ops/distributions/normal.py index 9f511709b90..9acc0469885 100644 --- a/tensorflow/python/ops/distributions/normal.py +++ b/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. diff --git a/tensorflow/python/ops/distributions/student_t.py b/tensorflow/python/ops/distributions/student_t.py index b69e61925c1..351f5605e24 100644 --- a/tensorflow/python/ops/distributions/student_t.py +++ b/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. diff --git a/tensorflow/python/ops/distributions/uniform.py b/tensorflow/python/ops/distributions/uniform.py index b6b24187cc5..8fac0167778 100644 --- a/tensorflow/python/ops/distributions/uniform.py +++ b/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. diff --git a/tensorflow/python/tools/api/generator/api_init_files.bzl b/tensorflow/python/tools/api/generator/api_init_files.bzl index ac7bc28b2be..49603a6e16a 100644 --- a/tensorflow/python/tools/api/generator/api_init_files.bzl +++ b/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", diff --git a/tensorflow/tools/api/golden/v2/tensorflow.distributions.-bernoulli.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-bernoulli.pbtxt deleted file mode 100644 index ca96f4eaece..00000000000 --- a/tensorflow/tools/api/golden/v2/tensorflow.distributions.-bernoulli.pbtxt +++ /dev/null @@ -1,143 +0,0 @@ -path: "tensorflow.distributions.Bernoulli" -tf_class { - is_instance: "" - is_instance: "" - is_instance: "" - is_instance: "" - member { - name: "allow_nan_stats" - mtype: "" - } - member { - name: "batch_shape" - mtype: "" - } - member { - name: "dtype" - mtype: "" - } - member { - 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a/tensorflow/tools/api/golden/v2/tensorflow.distributions.-multinomial.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-multinomial.pbtxt deleted file mode 100644 index ecda8acb15c..00000000000 --- a/tensorflow/tools/api/golden/v2/tensorflow.distributions.-multinomial.pbtxt +++ /dev/null @@ -1,147 +0,0 @@ -path: "tensorflow.distributions.Multinomial" -tf_class { - is_instance: "" - is_instance: "" - is_instance: "" - is_instance: "" - member { - name: "allow_nan_stats" - mtype: "" - } - member { - name: "batch_shape" - mtype: "" - } - member { - name: "dtype" - mtype: "" - } - member { - name: "event_shape" - mtype: "" - } - member { - name: "logits" - mtype: "" - } - member { - name: "name" - mtype: "" - } - member { - name: "parameters" - mtype: "" - } - member { - name: "probs" - mtype: "" - } - member { - name: "reparameterization_type" - mtype: "" - } - member { - name: "total_count" - mtype: "" - } - member { - name: "validate_args" - mtype: "" - } - member_method 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mode 100644 index 02e8d576ddd..00000000000 --- a/tensorflow/tools/api/golden/v2/tensorflow.distributions.-reparameterization-type.pbtxt +++ /dev/null @@ -1,9 +0,0 @@ -path: "tensorflow.distributions.ReparameterizationType" -tf_class { - is_instance: "" - is_instance: "" - member_method { - name: "__init__" - argspec: "args=[\'self\', \'rep_type\'], varargs=None, keywords=None, defaults=None" - } -} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.distributions.-student-t.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-student-t.pbtxt deleted file mode 100644 index 9aa7f9a6346..00000000000 --- a/tensorflow/tools/api/golden/v2/tensorflow.distributions.-student-t.pbtxt +++ /dev/null @@ -1,147 +0,0 @@ -path: "tensorflow.distributions.StudentT" -tf_class { - is_instance: "" - is_instance: "" - is_instance: "" - is_instance: "" - member { - name: "allow_nan_stats" - mtype: "" - } - member { - name: "batch_shape" - mtype: "" - } - member { - name: "df" - mtype: "" - } - 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keywords=None, defaults=[\'variance\'], " - } -} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.distributions.-uniform.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-uniform.pbtxt deleted file mode 100644 index d1b9d306962..00000000000 --- a/tensorflow/tools/api/golden/v2/tensorflow.distributions.-uniform.pbtxt +++ /dev/null @@ -1,147 +0,0 @@ -path: "tensorflow.distributions.Uniform" -tf_class { - is_instance: "" - is_instance: "" - is_instance: "" - is_instance: "" - member { - name: "allow_nan_stats" - mtype: "" - } - member { - name: "batch_shape" - mtype: "" - } - member { - name: "dtype" - mtype: "" - } - member { - name: "event_shape" - mtype: "" - } - member { - name: "high" - mtype: "" - } - member { - name: "low" - mtype: "" - } - member { - name: "name" - mtype: "" - } - member { - name: "parameters" - mtype: "" - } - member { - name: "reparameterization_type" - mtype: "" - } - member { - name: "validate_args" - mtype: "" - } - 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\'], " - } -} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.distributions.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.distributions.pbtxt deleted file mode 100644 index 90b60ef074d..00000000000 --- a/tensorflow/tools/api/golden/v2/tensorflow.distributions.pbtxt +++ /dev/null @@ -1,75 +0,0 @@ -path: "tensorflow.distributions" -tf_module { - member { - name: "Bernoulli" - mtype: "" - } - member { - name: "Beta" - mtype: "" - } - member { - name: "Categorical" - mtype: "" - } - member { - name: "Dirichlet" - mtype: "" - } - member { - name: "DirichletMultinomial" - mtype: "" - } - member { - name: "Distribution" - mtype: "" - } - member { - name: "Exponential" - mtype: "" - } - member { - name: "FULLY_REPARAMETERIZED" - mtype: "" - } - member { - name: "Gamma" - mtype: "" - } - member { - name: "Laplace" - mtype: "" - } - member { - name: "Multinomial" - mtype: "" - } - member { - name: "NOT_REPARAMETERIZED" - mtype: "" - } - member { - name: "Normal" - mtype: "" - } - member { - name: "RegisterKL" - mtype: "" - } - member { - name: "ReparameterizationType" - mtype: "" - } - member { - name: "StudentT" - mtype: "" - } - member { - name: "Uniform" - mtype: "" - } - member_method { - name: "kl_divergence" - argspec: "args=[\'distribution_a\', \'distribution_b\', \'allow_nan_stats\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], " - } -} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.pbtxt index 7c865bb0022..e6d8cb64401 100644 --- a/tensorflow/tools/api/golden/v2/tensorflow.pbtxt +++ b/tensorflow/tools/api/golden/v2/tensorflow.pbtxt @@ -216,10 +216,6 @@ tf_module { name: "debugging" mtype: "" } - member { - name: "distributions" - mtype: "" - } member { name: "double" mtype: ""