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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 THIRD_PARTY_TENSORFLOW_CONTRIB_VERBS_RDMA_RENDEZVOUS_MGR_H_
+#define THIRD_PARTY_TENSORFLOW_CONTRIB_VERBS_RDMA_RENDEZVOUS_MGR_H_
+
+#ifdef TENSORFLOW_USE_VERBS
+
+#include "tensorflow/contrib/verbs/rdma_mgr.h"
+#include "tensorflow/core/distributed_runtime/base_rendezvous_mgr.h"
+#include "tensorflow/core/distributed_runtime/worker_env.h"
+#include "tensorflow/core/platform/macros.h"
+
+namespace tensorflow {
+
+// RendezvousMgr keeps track of a set of local rendezvous instances.
+// All tensors sent by this worker are buffered in a RendezvousMgr
+// until the tensor is received.  Each global unique "step_id"
+// corresponds to one local rendezvous instance managed by a
+// RendezvousMgr.
+//
+// E.g.,
+//   Rendezvous* rendez = worker_env->rendezvous_mgr->Find(0x8935);
+//   fork execution of an graph executor using "rendez"  on thread 1;
+//   fork execution of another graph executor using "rendez" on thread 2;
+//   ...
+//   join threads 1 and 2;
+//
+// In the example above, execution in thread 1 and 2 communicates with
+// each other by send/recv operations through the "rend".
+//
+// Tensors sent and recved through rendezvous managed by this
+// RendezvousMgr must have keys generated by Rendezvous::CreateKey.
+class RdmaRendezvousMgr : public BaseRendezvousMgr {
+ public:
+  explicit RdmaRendezvousMgr(const WorkerEnv* env, const string& worker_name,
+                             WorkerCacheInterface* worker_cache);
+  void SetRdmaMgr(RdmaMgr* rdma_mgr) { rdma_mgr_ = rdma_mgr; }
+
+ protected:
+  BaseRemoteRendezvous* Create(int64 step_id, const WorkerEnv* worker_env,
+                               const string& worker_name) override;
+
+ private:
+  RdmaMgr* rdma_mgr_;
+  TF_DISALLOW_COPY_AND_ASSIGN(RdmaRendezvousMgr);
+};
+
+}  // end namespace tensorflow
+
+#endif  // TENSORFLOW_USE_VERBS
+#endif  // THIRD_PARTY_TENSORFLOW_CONTRIB_VERBS_RDMA_RENDEZVOUS_MGR_H_