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authorGravatar A. Unique TensorFlower <gardener@tensorflow.org>2017-11-27 06:29:45 -0800
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2017-11-27 06:33:15 -0800
commit191825e63f341a4e7777b85254f616e541000d5c (patch)
tree55e7a384e6dcea2e154a5419b5dc05326fb20c8b /tensorflow/contrib/verbs
parenta264269f523467ac018708a647eab02c1f1010fe (diff)
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@@ -38,7 +38,7 @@ The following improvements can be made in the future. First, conversion to Tenso
* **RDMA channel:** Responsible for RDMA connection to a particular node. It manages multiple buffers. A channel has a callback table which stores all the callbacks for the requested tensors.
* **RDMA buffer:** Responsible for sending or receiving data. It has a fixed size memory to store the data. It has a queue to store the pending jobs. There are three types of buffers, message buffer, ACK buffer and tensor buffer. A channel has two message buffers, two ack buffers and many tensor buffers.
* **RDMA manager:** Manages the adapter and channels, including channel creation, channel setup via GRPC service, channel lookup, etc.
-* **RDMA rendezvous manager:** manages multiple rdma rendezvous.
+* **RDMA rendezvous manager:** manages multiple rdma rendezvous.
* **RDMA rendezvous:** a derived class of BaseRemoteRendezvous. This class is the back end for "send" and "recv" ops. When the sendrecv_op wants to send or receive a tensor, it calls the rendezvous' "send" and "recv" functions respectively. Rendezvous are identified by "step_id", a random number, so that tensors for different iterations don't get mixed up.
### The SEND operation