Update generated Python Op docs.

Change: 124503815

1 files changed, 48 insertions, 0 deletions

diff --git a/tensorflow/g3doc/api_docs/python/constant_op.md b/tensorflow/g3doc/api_docs/python/constant_op.md
index bdd39690a6..ccd881cca8 100644
--- a/tensorflow/g3doc/api_docs/python/constant_op.md
+++ b/tensorflow/g3doc/api_docs/python/constant_op.md
@@ -537,6 +537,54 @@ Example:
 
 - - -
 
+### `tf.random_gamma(shape, alpha, beta=None, dtype=tf.float32, seed=None, name=None)` {#random_gamma}
+
+Draws `shape` samples from each of the given Gamma distribution(s).
+
+`alpha` is the shape parameter describing the distribution(s), and `beta` is
+the inverse scale parameter(s).
+
+Example:
+
+  samples = tf.random_gamma([10], [0.5, 1.5])
+  # samples has shape [10, 2], where each slice [:, 0] and [:, 1] represents
+  # the samples drawn from each distribution
+
+  samples = tf.random_gamma([7, 5], [0.5, 1.5])
+  # samples has shape [7, 5, 2], where each slice [:, :, 0] and [:, :, 1]
+  # represents the 7x5 samples drawn from each of the two distributions
+
+  samples = tf.random_gamma([30], [[1.],[3.],[5.]], beta=[[3., 4.]])
+  # samples has shape [30, 3, 2], with 30 samples each of 3x2 distributions.
+
+##### Args:
+
+
+*  <b>`shape`</b>: A 1-D integer Tensor or Python array. The shape of the output samples
+    to be drawn per alpha/beta-parameterized distribution.
+*  <b>`alpha`</b>: A Tensor or Python value or N-D array of type `dtype`. `alpha`
+    provides the shape parameter(s) describing the gamma distribution(s) to
+    sample. Must be broadcastable with `beta`.
+*  <b>`beta`</b>: A Tensor or Python value or N-D array of type `dtype`. Defaults to 1.
+    `beta` provides the inverse scale parameter(s) of the gamma
+    distribution(s) to sample. Must be broadcastable with `alpha`.
+*  <b>`dtype`</b>: The type of alpha, beta, and the output: `float16`, `float32`, or
+    `float64`.
+*  <b>`seed`</b>: A Python integer. Used to create a random seed for the distributions.
+    See
+    [`set_random_seed`](../../api_docs/python/constant_op.md#set_random_seed)
+    for behavior.
+*  <b>`name`</b>: Optional name for the operation.
+
+##### Returns:
+
+
+*  <b>`samples`</b>: a `Tensor` of shape `tf.concat(shape, tf.shape(alpha + beta))` with
+    values of type `dtype`.
+
+
+- - -
+
 ### `tf.set_random_seed(seed)` {#set_random_seed}
 
 Sets the graph-level random seed.