Update generated Python Op docs.

Change: 138972225

3 files changed, 0 insertions, 92 deletions

diff --git a/tensorflow/g3doc/api_docs/python/array_ops.md b/tensorflow/g3doc/api_docs/python/array_ops.md
index 25cd1f6887..a3b8075349 100644
--- a/tensorflow/g3doc/api_docs/python/array_ops.md
+++ b/tensorflow/g3doc/api_docs/python/array_ops.md
@@ -3107,51 +3107,3 @@ Compute gradients for a FakeQuantWithMinMaxVarsPerChannel operation.
     `sum_per_d(gradients * (inputs > max))`.
 
 
-
-## Other Functions and Classes
-- - -
-
-### `tf.listdiff(*args, **kwargs)` {#listdiff}
-
-Computes the difference between two lists of numbers or strings.
-
-  Given a list `x` and a list `y`, this operation returns a list `out` that
-  represents all values that are in `x` but not in `y`. The returned list `out`
-  is sorted in the same order that the numbers appear in `x` (duplicates are
-  preserved). This operation also returns a list `idx` that represents the
-  position of each `out` element in `x`. In other words:
-
-  `out[i] = x[idx[i]] for i in [0, 1, ..., len(out) - 1]`
-
-  For example, given this input:
-
-  ```prettyprint
-  x = [1, 2, 3, 4, 5, 6]
-  y = [1, 3, 5]
-  ```
-
-  This operation would return:
-
-  ```prettyprint
-  out ==> [2, 4, 6]
-  idx ==> [1, 3, 5]
-  ```
-
-  Args:
-    x: A `Tensor`. 1-D. Values to keep.
-    y: A `Tensor`. Must have the same type as `x`. 1-D. Values to remove.
-    out_idx: An optional `tf.DType` from: `tf.int32, tf.int64`. Defaults to `tf.int32`.
-    name: A name for the operation (optional).
-
-  Returns:
-    A tuple of `Tensor` objects (out, idx).
-    out: A `Tensor`. Has the same type as `x`. 1-D. Values present in `x` but not in `y`.
-    idx: A `Tensor` of type `out_idx`. 1-D. Positions of `x` values preserved in `out`.
-
-DEPRECATED FUNCTION
-
-THIS FUNCTION IS DEPRECATED. It will be removed after 2016-11-30.
-Instructions for updating:
-This op will be removed after the deprecation date. Please switch to tf.setdiff1d().
-
-
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard5/tf.listdiff.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard5/tf.listdiff.md
deleted file mode 100644
index 67e0a379e5..0000000000
--- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard5/tf.listdiff.md
+++ /dev/null
@@ -1,43 +0,0 @@
-### `tf.listdiff(*args, **kwargs)` {#listdiff}
-
-Computes the difference between two lists of numbers or strings.
-
-  Given a list `x` and a list `y`, this operation returns a list `out` that
-  represents all values that are in `x` but not in `y`. The returned list `out`
-  is sorted in the same order that the numbers appear in `x` (duplicates are
-  preserved). This operation also returns a list `idx` that represents the
-  position of each `out` element in `x`. In other words:
-
-  `out[i] = x[idx[i]] for i in [0, 1, ..., len(out) - 1]`
-
-  For example, given this input:
-
-  ```prettyprint
-  x = [1, 2, 3, 4, 5, 6]
-  y = [1, 3, 5]
-  ```
-
-  This operation would return:
-
-  ```prettyprint
-  out ==> [2, 4, 6]
-  idx ==> [1, 3, 5]
-  ```
-
-  Args:
-    x: A `Tensor`. 1-D. Values to keep.
-    y: A `Tensor`. Must have the same type as `x`. 1-D. Values to remove.
-    out_idx: An optional `tf.DType` from: `tf.int32, tf.int64`. Defaults to `tf.int32`.
-    name: A name for the operation (optional).
-
-  Returns:
-    A tuple of `Tensor` objects (out, idx).
-    out: A `Tensor`. Has the same type as `x`. 1-D. Values present in `x` but not in `y`.
-    idx: A `Tensor` of type `out_idx`. 1-D. Positions of `x` values preserved in `out`.
-
-DEPRECATED FUNCTION
-
-THIS FUNCTION IS DEPRECATED. It will be removed after 2016-11-30.
-Instructions for updating:
-This op will be removed after the deprecation date. Please switch to tf.setdiff1d().
-
diff --git a/tensorflow/g3doc/api_docs/python/index.md b/tensorflow/g3doc/api_docs/python/index.md
index 95040400dd..9e44660297 100644
--- a/tensorflow/g3doc/api_docs/python/index.md
+++ b/tensorflow/g3doc/api_docs/python/index.md
@@ -150,7 +150,6 @@
   * [`fake_quant_with_min_max_vars_per_channel_gradient`](../../api_docs/python/array_ops.md#fake_quant_with_min_max_vars_per_channel_gradient)
   * [`gather`](../../api_docs/python/array_ops.md#gather)
   * [`gather_nd`](../../api_docs/python/array_ops.md#gather_nd)
-  * [`listdiff`](../../api_docs/python/array_ops.md#listdiff)
   * [`meshgrid`](../../api_docs/python/array_ops.md#meshgrid)
   * [`one_hot`](../../api_docs/python/array_ops.md#one_hot)
   * [`pack`](../../api_docs/python/array_ops.md#pack)