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+/* Copyright 2017 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.
+==============================================================================*/
+
+#ifndef GDR_MEMORY_MANAGER_H_
+#define GDR_MEMORY_MANAGER_H_
+
+#include "tensorflow/core/lib/core/status.h"
+
+namespace google {
+namespace protobuf {
+class Any;
+}
+}
+
+namespace tensorflow {
+
+class Device;
+class DeviceContext;
+class Tensor;
+
+// Abstract interface that handles out-of-band tensor transport.
+//
+// The transport options are encoded into a protocol buffer and transmitted via
+// some other communication channels like RPC.
+// See RecvTensorRequest in tensorflow/core/protobuf/worker.proto
+class RemoteMemoryManager {
+ public:
+ virtual ~RemoteMemoryManager() {}
+ virtual Status Init() = 0;
+ virtual void Run() = 0;
+ virtual void Stop() = 0;
+
+ // Encodes the tensor information to an arbitrary protocol buffer
+ // The protocol buffer needs to be transmitted via some other channel
+ virtual Status TransportOptionsFromTensor(
+ ::google::protobuf::Any* mutable_transport_options, const Tensor& tensor,
+ Device* device, DeviceContext* device_context, bool on_host) = 0;
+
+ // Retrieve the tensor from the encoded protocol buffer
+ // Note that the tensor has to be allocated, but not initialized
+ virtual Status TensorFromTransportOptions(
+ Tensor* tensor, const ::google::protobuf::Any& transport_options,
+ Device* device, DeviceContext* device_context, bool on_host) = 0;
+};
+
+RemoteMemoryManager* CreateRemoteMemoryManager(const string& host,
+ const string& port);
+
+} // namespace tensorflow
+
+#endif // GDR_MEMORY_MANAGER_H_