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-rw-r--r--tensorflow/core/protobuf/eager_service.proto23
1 files changed, 23 insertions, 0 deletions
diff --git a/tensorflow/core/protobuf/eager_service.proto b/tensorflow/core/protobuf/eager_service.proto
index 5b05a1b3ee..63ba4eb173 100644
--- a/tensorflow/core/protobuf/eager_service.proto
+++ b/tensorflow/core/protobuf/eager_service.proto
@@ -8,6 +8,7 @@ import "tensorflow/core/framework/function.proto";
import "tensorflow/core/framework/versions.proto";
import "tensorflow/core/protobuf/tensorflow_server.proto";
import "tensorflow/core/framework/tensor_shape.proto";
+import "tensorflow/core/framework/tensor.proto";
message RemoteTensorHandle {
// The ID of the operation that produced this tensor.
@@ -128,6 +129,24 @@ message RegisterFunctionRequest {
message RegisterFunctionResponse {
}
+message SendTensorRequest {
+ fixed64 context_id = 1;
+
+ // All remote tensors are identified by <Op ID, Output num>. To mimic this
+ // situation when directly sending tensors, we include an "artificial" op ID
+ // (which would have corresponded to the _Recv op when not using SendTensor).
+ int64 op_id = 2;
+ // The index within the repeated field is the output number that will help
+ // uniquely identify (along with the above op_id) the particular tensor.
+ repeated TensorProto tensors = 3;
+
+ // The device on which the tensors should be resident.
+ string device_name = 4;
+}
+
+message SendTensorResponse {
+}
+
////////////////////////////////////////////////////////////////////////////////
//
// Eager Service defines a TensorFlow service that executes operations eagerly
@@ -174,4 +193,8 @@ service EagerService {
// Takes a FunctionDef and makes it enqueable on the remote worker.
rpc RegisterFunction(RegisterFunctionRequest)
returns (RegisterFunctionResponse);
+
+ // An RPC to push tensors to the server. At times, certain environments don't
+ // allow the server to connect back to the client.
+ rpc SendTensor(SendTensorRequest) returns (SendTensorResponse);
}