Update generated Python Op docs.

Change: 139847768

tensorflow/g3doc/api_docs/python/contrib.framework.md

@@ -58,7 +58,7 @@ Assert `tensor` is 0-D, of type `tf.int32` or `tf.int64`.
 
 - - -
 
-### `tf.contrib.framework.convert_to_tensor_or_sparse_tensor(value, dtype=None, name=None, as_ref=False)` {#convert_to_tensor_or_sparse_tensor}
+### `tf.contrib.framework.convert_to_tensor_or_sparse_tensor(value, dtype=None, name=None)` {#convert_to_tensor_or_sparse_tensor}
 
 Converts value to a `SparseTensor` or `Tensor`.
 
@@ -70,8 +70,6 @@ Converts value to a `SparseTensor` or `Tensor`.
 *  <b>`dtype`</b>: Optional element type for the returned tensor. If missing, the
     type is inferred from the type of `value`.
 *  <b>`name`</b>: Optional name to use if a new `Tensor` is created.
-*  <b>`as_ref`</b>: True if we want the result as a ref tensor. Only used if a new
-    `Tensor` is created.
 
 ##### Returns:
 

tensorflow/g3doc/api_docs/python/framework.md

@@ -2518,7 +2518,7 @@ for more details.
 
 - - -
 
-### `tf.convert_to_tensor(value, dtype=None, name=None, as_ref=False, preferred_dtype=None)` {#convert_to_tensor}
+### `tf.convert_to_tensor(value, dtype=None, name=None, preferred_dtype=None)` {#convert_to_tensor}
 
 Converts the given `value` to a `Tensor`.
 
@@ -2552,8 +2552,6 @@ and scalars in addition to `Tensor` objects.
 *  <b>`dtype`</b>: Optional element type for the returned tensor. If missing, the
     type is inferred from the type of `value`.
 *  <b>`name`</b>: Optional name to use if a new `Tensor` is created.
-*  <b>`as_ref`</b>: True if we want the result as a ref tensor. Only used if a new
-    `Tensor` is created.
 *  <b>`preferred_dtype`</b>: Optional element type for the returned tensor,
     used when dtype is None. In some cases, a caller may not have a
     dtype in mind when converting to a tensor, so preferred_dtype
@@ -2562,7 +2560,7 @@ and scalars in addition to `Tensor` objects.
 
 ##### Returns:
 
-  A `Tensor` based on `value`.
+  An `Output` based on `value`.
 
 ##### Raises:
 
@@ -2573,7 +2571,7 @@ and scalars in addition to `Tensor` objects.
 
 - - -
 
-### `tf.convert_to_tensor_or_indexed_slices(value, dtype=None, name=None, as_ref=False)` {#convert_to_tensor_or_indexed_slices}
+### `tf.convert_to_tensor_or_indexed_slices(value, dtype=None, name=None)` {#convert_to_tensor_or_indexed_slices}
 
 Converts the given object to a `Tensor` or an `IndexedSlices`.
 
@@ -2589,7 +2587,6 @@ unmodified. Otherwise, it is converted to a `Tensor` using
 *  <b>`dtype`</b>: (Optional.) The required `DType` of the returned `Tensor` or
     `IndexedSlices`.
 *  <b>`name`</b>: (Optional.) A name to use if a new `Tensor` is created.
-*  <b>`as_ref`</b>: True if the caller wants the results as ref tensors.
 
 ##### Returns:
 

tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.convert_to_tensor.md

-### `tf.convert_to_tensor(value, dtype=None, name=None, as_ref=False, preferred_dtype=None)` {#convert_to_tensor}
+### `tf.convert_to_tensor(value, dtype=None, name=None, preferred_dtype=None)` {#convert_to_tensor}
 
 Converts the given `value` to a `Tensor`.
 
@@ -32,8 +32,6 @@ and scalars in addition to `Tensor` objects.
 *  <b>`dtype`</b>: Optional element type for the returned tensor. If missing, the
     type is inferred from the type of `value`.
 *  <b>`name`</b>: Optional name to use if a new `Tensor` is created.
-*  <b>`as_ref`</b>: True if we want the result as a ref tensor. Only used if a new
-    `Tensor` is created.
 *  <b>`preferred_dtype`</b>: Optional element type for the returned tensor,
     used when dtype is None. In some cases, a caller may not have a
     dtype in mind when converting to a tensor, so preferred_dtype
@@ -42,7 +40,7 @@ and scalars in addition to `Tensor` objects.
 
 ##### Returns:
 
-  A `Tensor` based on `value`.
+  An `Output` based on `value`.
 
 ##### Raises:
 

tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.convert_to_tensor_or_indexed_slices.md

-### `tf.convert_to_tensor_or_indexed_slices(value, dtype=None, name=None, as_ref=False)` {#convert_to_tensor_or_indexed_slices}
+### `tf.convert_to_tensor_or_indexed_slices(value, dtype=None, name=None)` {#convert_to_tensor_or_indexed_slices}
 
 Converts the given object to a `Tensor` or an `IndexedSlices`.
 
@@ -14,7 +14,6 @@ unmodified. Otherwise, it is converted to a `Tensor` using
 *  <b>`dtype`</b>: (Optional.) The required `DType` of the returned `Tensor` or
     `IndexedSlices`.
 *  <b>`name`</b>: (Optional.) A name to use if a new `Tensor` is created.
-*  <b>`as_ref`</b>: True if the caller wants the results as ref tensors.
 
 ##### Returns:
 

tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.contrib.framework.convert_to_tensor_or_sparse_tensor.md

-### `tf.contrib.framework.convert_to_tensor_or_sparse_tensor(value, dtype=None, name=None, as_ref=False)` {#convert_to_tensor_or_sparse_tensor}
+### `tf.contrib.framework.convert_to_tensor_or_sparse_tensor(value, dtype=None, name=None)` {#convert_to_tensor_or_sparse_tensor}
 
 Converts value to a `SparseTensor` or `Tensor`.
 
@@ -10,8 +10,6 @@ Converts value to a `SparseTensor` or `Tensor`.
 *  <b>`dtype`</b>: Optional element type for the returned tensor. If missing, the
     type is inferred from the type of `value`.
 *  <b>`name`</b>: Optional name to use if a new `Tensor` is created.
-*  <b>`as_ref`</b>: True if we want the result as a ref tensor. Only used if a new
-    `Tensor` is created.
 
 ##### Returns: