Update generated Python Op docs.

Change: 138826873

5 files changed, 110 insertions, 2 deletions

diff --git a/tensorflow/g3doc/api_docs/python/array_ops.md b/tensorflow/g3doc/api_docs/python/array_ops.md
index 526aa1ad4e..f5f1ccfd6d 100644
--- a/tensorflow/g3doc/api_docs/python/array_ops.md
+++ b/tensorflow/g3doc/api_docs/python/array_ops.md
@@ -756,6 +756,59 @@ tf.unpack(t, axis=axis)
 
 - - -
 
+### `tf.split_v(value, size_splits, split_dim=0, num=None, name='split_v')` {#split_v}
+
+Splits a tensor into sub tensors.
+
+If size_splits is a scalar, `num_split`, then
+splits `value` along dimension `split_dim` into `num_split` smaller tensors.
+Requires that `num_split` evenly divide `value.shape[split_dim]`.
+
+If size_splits is a tensor, then
+splits `value` into len(size_splits) pieces each the same size as the input
+except along dimension split_dim where the size is size_splits[i].
+
+For example:
+
+```python
+# 'value' is a tensor with shape [5, 30]
+# Split 'value' into 3 tensors with sizes [4, 15, 11] along dimension 1
+split0, split1, split2 = tf.split_v(1, [4, 15, 11], value)
+tf.shape(split0) ==> [5, 4]
+tf.shape(split1) ==> [5, 15]
+tf.shape(split2) ==> [5, 11]
+# Split 'value' into 3 tensors along dimension 1
+split0, split1, split2 = tf.split(value, 3, 1)
+tf.shape(split0) ==> [5, 10]
+```
+
+##### Args:
+
+
+*  <b>`value`</b>: The `Tensor` to split.
+*  <b>`size_splits`</b>: Either an integer indicating the number of splits along
+    split_dim or a 1-D Tensor containing the sizes of each output tensor
+    along split_dim. If an integer then it must evenly divide
+    value.shape[split_dim]; otherwise the sum of sizes along the split
+    dimension must match that of the input.
+*  <b>`split_dim`</b>: A 0-D `int32` `Tensor`. The dimension along which to split.
+    Must be in the range `[0, rank(value))`. Defaults to 0.
+*  <b>`num`</b>: Optional, used to specify the number of outputs when it cannot be
+       inferred from the shape of size_splits.
+*  <b>`name`</b>: A name for the operation (optional).
+
+##### Returns:
+
+  `len(size_splits)` `Tensor` objects resulting from splitting `value`.
+
+##### Raises:
+
+
+*  <b>`ValueError`</b>: If `num` is unspecified and cannot be inferred.
+
+
+- - -
+
 ### `tf.tile(input, multiples, name=None)` {#tile}
 
 Constructs a tensor by tiling a given tensor.
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.split_v.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.split_v.md
new file mode 100644
index 0000000000..7e27ca6ac4
--- /dev/null
+++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.split_v.md
@@ -0,0 +1,50 @@
+### `tf.split_v(value, size_splits, split_dim=0, num=None, name='split_v')` {#split_v}
+
+Splits a tensor into sub tensors.
+
+If size_splits is a scalar, `num_split`, then
+splits `value` along dimension `split_dim` into `num_split` smaller tensors.
+Requires that `num_split` evenly divide `value.shape[split_dim]`.
+
+If size_splits is a tensor, then
+splits `value` into len(size_splits) pieces each the same size as the input
+except along dimension split_dim where the size is size_splits[i].
+
+For example:
+
+```python
+# 'value' is a tensor with shape [5, 30]
+# Split 'value' into 3 tensors with sizes [4, 15, 11] along dimension 1
+split0, split1, split2 = tf.split_v(1, [4, 15, 11], value)
+tf.shape(split0) ==> [5, 4]
+tf.shape(split1) ==> [5, 15]
+tf.shape(split2) ==> [5, 11]
+# Split 'value' into 3 tensors along dimension 1
+split0, split1, split2 = tf.split(value, 3, 1)
+tf.shape(split0) ==> [5, 10]
+```
+
+##### Args:
+
+
+*  <b>`value`</b>: The `Tensor` to split.
+*  <b>`size_splits`</b>: Either an integer indicating the number of splits along
+    split_dim or a 1-D Tensor containing the sizes of each output tensor
+    along split_dim. If an integer then it must evenly divide
+    value.shape[split_dim]; otherwise the sum of sizes along the split
+    dimension must match that of the input.
+*  <b>`split_dim`</b>: A 0-D `int32` `Tensor`. The dimension along which to split.
+    Must be in the range `[0, rank(value))`. Defaults to 0.
+*  <b>`num`</b>: Optional, used to specify the number of outputs when it cannot be
+       inferred from the shape of size_splits.
+*  <b>`name`</b>: A name for the operation (optional).
+
+##### Returns:
+
+  `len(size_splits)` `Tensor` objects resulting from splitting `value`.
+
+##### Raises:
+
+
+*  <b>`ValueError`</b>: If `num` is unspecified and cannot be inferred.
+
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.test.Benchmark.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.test.Benchmark.md
index e461b5d541..a8770277ac 100644
--- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.test.Benchmark.md
+++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.test.Benchmark.md
@@ -27,7 +27,7 @@ Report a benchmark.
 
 - - -
 
-#### `tf.test.Benchmark.run_op_benchmark(sess, op_or_tensor, feed_dict=None, burn_iters=2, min_iters=10, store_trace=False, name=None, extras=None)` {#Benchmark.run_op_benchmark}
+#### `tf.test.Benchmark.run_op_benchmark(sess, op_or_tensor, feed_dict=None, burn_iters=2, min_iters=10, store_trace=False, name=None, extras=None, mbs=0)` {#Benchmark.run_op_benchmark}
 
 Run an op or tensor in the given session.  Report the results.
 
@@ -48,6 +48,8 @@ Run an op or tensor in the given session.  Report the results.
     Otherwise it is inferred from the top-level method name.
 *  <b>`extras`</b>: (optional) Dict mapping string keys to additional benchmark info.
     Values may be either floats or values that are convertible to strings.
+*  <b>`mbs`</b>: (optional) The number of megabytes moved by this op, used to
+    calculate the ops throughput.
 
 ##### Returns:
 
diff --git a/tensorflow/g3doc/api_docs/python/index.md b/tensorflow/g3doc/api_docs/python/index.md
index 136a0d506f..5f7dd9dd2f 100644
--- a/tensorflow/g3doc/api_docs/python/index.md
+++ b/tensorflow/g3doc/api_docs/python/index.md
@@ -174,6 +174,7 @@
   * [`space_to_batch_nd`](../../api_docs/python/array_ops.md#space_to_batch_nd)
   * [`space_to_depth`](../../api_docs/python/array_ops.md#space_to_depth)
   * [`split`](../../api_docs/python/array_ops.md#split)
+  * [`split_v`](../../api_docs/python/array_ops.md#split_v)
   * [`squeeze`](../../api_docs/python/array_ops.md#squeeze)
   * [`stack`](../../api_docs/python/array_ops.md#stack)
   * [`strided_slice`](../../api_docs/python/array_ops.md#strided_slice)
diff --git a/tensorflow/g3doc/api_docs/python/test.md b/tensorflow/g3doc/api_docs/python/test.md
index a7a65558da..ff0f7b0b69 100644
--- a/tensorflow/g3doc/api_docs/python/test.md
+++ b/tensorflow/g3doc/api_docs/python/test.md
@@ -1590,7 +1590,7 @@ Report a benchmark.
 
 - - -
 
-#### `tf.test.Benchmark.run_op_benchmark(sess, op_or_tensor, feed_dict=None, burn_iters=2, min_iters=10, store_trace=False, name=None, extras=None)` {#Benchmark.run_op_benchmark}
+#### `tf.test.Benchmark.run_op_benchmark(sess, op_or_tensor, feed_dict=None, burn_iters=2, min_iters=10, store_trace=False, name=None, extras=None, mbs=0)` {#Benchmark.run_op_benchmark}
 
 Run an op or tensor in the given session.  Report the results.
 
@@ -1611,6 +1611,8 @@ Run an op or tensor in the given session.  Report the results.
     Otherwise it is inferred from the top-level method name.
 *  <b>`extras`</b>: (optional) Dict mapping string keys to additional benchmark info.
     Values may be either floats or values that are convertible to strings.
+*  <b>`mbs`</b>: (optional) The number of megabytes moved by this op, used to
+    calculate the ops throughput.
 
 ##### Returns: