1 files changed, 0 insertions, 96 deletions
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.contrib.distributions.Gamma.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.contrib.distributions.Gamma.md
index adde19f553..6c14ffbaaf 100644
--- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.contrib.distributions.Gamma.md
+++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.contrib.distributions.Gamma.md
@@ -344,54 +344,6 @@ a more accurate answer than simply taking the logarithm of the `cdf` when
 
 - - -
 
-#### `tf.contrib.distributions.Gamma.log_pdf(value, name='log_pdf')` {#Gamma.log_pdf}
-
-Log probability density function.
-
-##### Args:
-
-
-*  <b>`value`</b>: `float` or `double` `Tensor`.
-*  <b>`name`</b>: The name to give this op.
-
-##### Returns:
-
-
-*  <b>`log_prob`</b>: a `Tensor` of shape `sample_shape(x) + self.batch_shape` with
-    values of type `self.dtype`.
-
-##### Raises:
-
-
-*  <b>`TypeError`</b>: if not `is_continuous`.
-
-
-- - -
-
-#### `tf.contrib.distributions.Gamma.log_pmf(value, name='log_pmf')` {#Gamma.log_pmf}
-
-Log probability mass function.
-
-##### Args:
-
-
-*  <b>`value`</b>: `float` or `double` `Tensor`.
-*  <b>`name`</b>: The name to give this op.
-
-##### Returns:
-
-
-*  <b>`log_pmf`</b>: a `Tensor` of shape `sample_shape(x) + self.batch_shape` with
-    values of type `self.dtype`.
-
-##### Raises:
-
-
-*  <b>`TypeError`</b>: if `is_continuous`.
-
-
-- - -
-
 #### `tf.contrib.distributions.Gamma.log_prob(value, name='log_prob')` {#Gamma.log_prob}
 
 Log probability density/mass function (depending on `is_continuous`).
@@ -528,54 +480,6 @@ Dictionary of parameters used to instantiate this `Distribution`.
 
 - - -
 
-#### `tf.contrib.distributions.Gamma.pdf(value, name='pdf')` {#Gamma.pdf}
-
-Probability density function.
-
-##### Args:
-
-
-*  <b>`value`</b>: `float` or `double` `Tensor`.
-*  <b>`name`</b>: The name to give this op.
-
-##### Returns:
-
-
-*  <b>`prob`</b>: a `Tensor` of shape `sample_shape(x) + self.batch_shape` with
-    values of type `self.dtype`.
-
-##### Raises:
-
-
-*  <b>`TypeError`</b>: if not `is_continuous`.
-
-
-- - -
-
-#### `tf.contrib.distributions.Gamma.pmf(value, name='pmf')` {#Gamma.pmf}
-
-Probability mass function.
-
-##### Args:
-
-
-*  <b>`value`</b>: `float` or `double` `Tensor`.
-*  <b>`name`</b>: The name to give this op.
-
-##### Returns:
-
-
-*  <b>`pmf`</b>: a `Tensor` of shape `sample_shape(x) + self.batch_shape` with
-    values of type `self.dtype`.
-
-##### Raises:
-
-
-*  <b>`TypeError`</b>: if `is_continuous`.
-
-
-- - -
-
 #### `tf.contrib.distributions.Gamma.prob(value, name='prob')` {#Gamma.prob}
 
 Probability density/mass function (depending on `is_continuous`).