Update ops-related pbtxt files.

PiperOrigin-RevId: 173932574

tensorflow/core/ops/compat/ops_history.v1.pbtxt

@@ -557,6 +557,41 @@ op {
   }
   is_stateful: true
 }
+op {
+  name: "AddV2"
+  input_arg {
+    name: "x"
+    type_attr: "T"
+  }
+  input_arg {
+    name: "y"
+    type_attr: "T"
+  }
+  output_arg {
+    name: "z"
+    type_attr: "T"
+  }
+  attr {
+    name: "T"
+    type: "type"
+    allowed_values {
+      list {
+        type: DT_HALF
+        type: DT_FLOAT
+        type: DT_DOUBLE
+        type: DT_UINT8
+        type: DT_INT8
+        type: DT_INT16
+        type: DT_INT32
+        type: DT_INT64
+        type: DT_COMPLEX64
+        type: DT_COMPLEX128
+      }
+    }
+  }
+  is_aggregate: true
+  is_commutative: true
+}
 op {
   name: "AdjustContrast"
   input_arg {

tensorflow/core/ops/ops.pbtxt

@@ -446,6 +446,43 @@ op {
   description: "A `SparseTensor` is represented by three tensors: `sparse_indices`,\n`sparse_values`, and `sparse_shape`.\n\nThis operator takes the given `SparseTensor` and adds it to a container\nobject (a `SparseTensorsMap`).  A unique key within this container is generated\nin the form of an `int64`, and this is the value that is returned.\n\nThe `SparseTensor` can then be read out as part of a minibatch by passing\nthe key as a vector element to `TakeManySparseFromTensorsMap`.  To ensure\nthe correct `SparseTensorsMap` is accessed, ensure that the same\n`container` and `shared_name` are passed to that Op.  If no `shared_name`\nis provided here, instead use the *name* of the Operation created by calling\n`AddSparseToTensorsMap` as the `shared_name` passed to\n`TakeManySparseFromTensorsMap`.  Ensure the Operations are colocated."
   is_stateful: true
 }
+op {
+  name: "AddV2"
+  input_arg {
+    name: "x"
+    type_attr: "T"
+  }
+  input_arg {
+    name: "y"
+    type_attr: "T"
+  }
+  output_arg {
+    name: "z"
+    type_attr: "T"
+  }
+  attr {
+    name: "T"
+    type: "type"
+    allowed_values {
+      list {
+        type: DT_HALF
+        type: DT_FLOAT
+        type: DT_DOUBLE
+        type: DT_UINT8
+        type: DT_INT8
+        type: DT_INT16
+        type: DT_INT32
+        type: DT_INT64
+        type: DT_COMPLEX64
+        type: DT_COMPLEX128
+      }
+    }
+  }
+  summary: "Returns x + y element-wise."
+  description: "*NOTE*: `Add` supports broadcasting. `AddN` does not. More about broadcasting\n[here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)"
+  is_aggregate: true
+  is_commutative: true
+}
 op {
   name: "AdjustContrast"
   input_arg {