Open sourcing proto/rpc ops.

PiperOrigin-RevId: 191962572

1 files changed, 49 insertions, 0 deletions

diff --git a/tensorflow/core/ops/encode_proto_ops.cc b/tensorflow/core/ops/encode_proto_ops.cc
new file mode 100644
index 0000000000..f5ec3056e3
--- /dev/null
+++ b/tensorflow/core/ops/encode_proto_ops.cc
@@ -0,0 +1,49 @@
+/* Copyright 2018 The TensorFlow Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+==============================================================================*/
+
+#include "tensorflow/core/framework/op.h"
+#include "tensorflow/core/framework/shape_inference.h"
+
+namespace tensorflow {
+
+using tensorflow::shape_inference::InferenceContext;
+using tensorflow::shape_inference::ShapeHandle;
+
+REGISTER_OP("EncodeProto")
+    .Input("sizes: int32")
+    .Input("values: Tinput_types")
+    .Attr("field_names: list(string)")
+    .Attr("message_type: string")
+    .Attr("descriptor_source: string = 'local://'")
+    .Attr("Tinput_types: list(type)")
+    .Output("bytes: string")
+    .SetShapeFn([](InferenceContext* c) {
+      int first_field_index = 1;
+      int num_fields = c->num_inputs() - 1;
+
+      ShapeHandle output;
+      for (int i = num_fields - 1; i >= 0; --i) {
+        ShapeHandle input = c->input(first_field_index + i);
+        TF_RETURN_IF_ERROR(c->WithRankAtLeast(input, 2, &input));
+        ShapeHandle inner;
+        TF_RETURN_IF_ERROR(c->Subshape(input, 0, -1, &inner));
+        TF_RETURN_IF_ERROR(c->Merge(inner, output, &output));
+      }
+
+      c->set_output(0, output);
+      return Status::OK();
+    });
+
+}  // namespace tensorflow