Reuduce memory copy when communication between trainer and pserver. (#9271)

benchmark/cluster/vgg16/vgg16_fluid.py

@@ -18,12 +18,13 @@ import sys
 import time
 import numpy as np
 import paddle.v2 as paddle
-import paddle.v2.fluid as fluid
-import paddle.v2.fluid.core as core
-import paddle.v2.fluid.profiler as profiler
+import paddle.fluid as fluid
+import paddle.fluid.core as core
+import paddle.fluid.profiler as profiler
 import argparse
 import functools
 import os
+from paddle.fluid import debuger
 
 
 def str2bool(v):
@@ -182,28 +183,27 @@ def main():
             start_time = time.time()
             num_samples = 0
             train_pass_acc.reset()
-            with profiler.profiler("CPU", 'total') as prof:
-                for batch_id, data in enumerate(train_reader()):
-                    ts = time.time()
-                    img_data = np.array(
-                        map(lambda x: x[0].reshape(data_shape), data)).astype(
-                            "float32")
-                    y_data = np.array(map(lambda x: x[1], data)).astype("int64")
-                    y_data = y_data.reshape([-1, 1])
-
-                    loss, acc, b_size = exe.run(
-                        trainer_prog,
-                        feed={"pixel": img_data,
-                              "label": y_data},
-                        fetch_list=[avg_cost, batch_acc, batch_size])
-                    iters += 1
-                    num_samples += len(data)
-                    train_pass_acc.add(value=acc, weight=b_size)
-                    print(
-                        "Pass = %d, Iters = %d, Loss = %f, Accuracy = %f, Speed = %.2f img/s"
-                        % (pass_id, iters, loss, acc,
-                           len(data) / (time.time() - ts))
-                    )  # The accuracy is the accumulation of batches, but not the current batch.
+            for batch_id, data in enumerate(train_reader()):
+                ts = time.time()
+                img_data = np.array(
+                    map(lambda x: x[0].reshape(data_shape), data)).astype(
+                        "float32")
+                y_data = np.array(map(lambda x: x[1], data)).astype("int64")
+                y_data = y_data.reshape([-1, 1])
+
+                loss, acc, b_size = exe.run(
+                    trainer_prog,
+                    feed={"pixel": img_data,
+                          "label": y_data},
+                    fetch_list=[avg_cost, batch_acc, batch_size])
+                iters += 1
+                num_samples += len(data)
+                train_pass_acc.add(value=acc, weight=b_size)
+                print(
+                    "Pass = %d, Iters = %d, Loss = %f, Accuracy = %f, Speed = %.2f img/s"
+                    % (pass_id, iters, loss, acc,
+                       len(data) / (time.time() - ts))
+                )  # The accuracy is the accumulation of batches, but not the current batch.
 
             pass_elapsed = time.time() - start_time
             pass_train_acc = train_pass_acc.eval()
@@ -254,9 +254,7 @@ def main():
             pserver_prog = t.get_pserver_program(current_endpoint)
             pserver_startup = t.get_startup_program(current_endpoint,
                                                     pserver_prog)
-            print("starting server side startup")
             exe.run(pserver_startup)
-            print("starting parameter server...")
             exe.run(pserver_prog)
         elif training_role == "TRAINER":
             # Parameter initialization

benchmark/cluster/vgg16/vgg16_tf.py

@@ -292,14 +292,18 @@ def run_benchmark(cluster_spec, server):
         return np.mean(test_accs)
 
     config = tf.ConfigProto(
-        intra_op_parallelism_threads=1, inter_op_parallelism_threads=1)
+        intra_op_parallelism_threads=1,
+        inter_op_parallelism_threads=1,
+        log_device_placement=True)
     config.gpu_options.allow_growth = True
 
     hooks = [tf.train.StopAtStepHook(last_step=1000000)]
 
     with tf.train.MonitoredTrainingSession(
-            master=server.target, is_chief=(args.task_index == 0),
-            hooks=hooks) as sess:
+            master=server.target,
+            is_chief=(args.task_index == 0),
+            hooks=hooks,
+            config=config) as sess:
         iters, num_samples, start_time = 0, 0, 0.0
         for pass_id in range(args.num_passes):
             # train

paddle/fluid/operators/detail/CMakeLists.txt

 if(WITH_DISTRIBUTE)
-  grpc_library(sendrecvop_grpc SRCS bytebuffer_stream.cc sendrecvop_utils.cc grpc_client.cc grpc_server.cc PROTO send_recv.proto DEPS lod_tensor selected_rows)
+  grpc_library(sendrecvop_grpc SRCS bytebuffer_stream.cc sendrecvop_utils.cc grpc_client.cc
+      grpc_server.cc variable_response.cc PROTO send_recv.proto DEPS lod_tensor selected_rows)
   set(DISTRIBUTE_COMPILE_FLAGS "-Wno-non-virtual-dtor -Wno-error=non-virtual-dtor -Wno-error=delete-non-virtual-dtor")
   set_source_files_properties(test_serde.cc PROPERTIES COMPILE_FLAGS ${DISTRIBUTE_COMPILE_FLAGS})
-  cc_test(serde_test SRCS test_serde.cc DEPS grpc++_unsecure grpc_unsecure gpr cares zlib protobuf sendrecvop_grpc)
+  cc_test(serde_test SRCS test_serde.cc variable_response.cc DEPS grpc++_unsecure grpc_unsecure gpr
+      cares zlib protobuf sendrecvop_grpc)
 endif()

paddle/fluid/operators/detail/bytebuffer_stream.h

@@ -23,9 +23,107 @@ limitations under the License. */
 #include "google/protobuf/io/coded_stream.h"
 #include "google/protobuf/io/zero_copy_stream.h"
 
+namespace grpc {
+// A ZeroCopyInputStream that reads from grpc_byte_buffer
+class GrpcBufferReader final
+    : public ::google::protobuf::io::ZeroCopyInputStream {
+  typedef void (CoreCodegenInterface::*OldReaderInitAPI)(
+      grpc_byte_buffer_reader* reader, grpc_byte_buffer* buffer);
+  typedef int (CoreCodegenInterface::*NewReaderInitAPI)(
+      grpc_byte_buffer_reader* reader, grpc_byte_buffer* buffer);
+  void ReaderInit(OldReaderInitAPI ptr, grpc_byte_buffer_reader* reader,
+                  grpc_byte_buffer* buffer) {
+    (g_core_codegen_interface->*ptr)(reader, buffer);
+  }
+  void ReaderInit(NewReaderInitAPI ptr, grpc_byte_buffer_reader* reader,
+                  grpc_byte_buffer* buffer) {
+    int result = (g_core_codegen_interface->*ptr)(reader, buffer);
+    (void)result;
+  }
+
+ public:
+  explicit GrpcBufferReader(grpc_byte_buffer* buffer)
+      : byte_count_(0), backup_count_(0) {
+    ReaderInit(&CoreCodegenInterface::grpc_byte_buffer_reader_init, &reader_,
+               buffer);
+  }
+  ~GrpcBufferReader() override {
+    g_core_codegen_interface->grpc_byte_buffer_reader_destroy(&reader_);
+  }
+
+  bool Next(const void** data, int* size) override {
+    if (backup_count_ > 0) {
+      *data = GRPC_SLICE_START_PTR(slice_) + GRPC_SLICE_LENGTH(slice_) -
+              backup_count_;
+      GPR_CODEGEN_ASSERT(backup_count_ <= INT_MAX);
+      *size = (int)backup_count_;
+      backup_count_ = 0;
+      return true;
+    }
+    if (!g_core_codegen_interface->grpc_byte_buffer_reader_next(&reader_,
+                                                                &slice_)) {
+      return false;
+    }
+    g_core_codegen_interface->grpc_slice_unref(slice_);
+    *data = GRPC_SLICE_START_PTR(slice_);
+    // On win x64, int is only 32bit
+    GPR_CODEGEN_ASSERT(GRPC_SLICE_LENGTH(slice_) <= INT_MAX);
+    byte_count_ += * size = (int)GRPC_SLICE_LENGTH(slice_);
+    return true;
+  }
+
+  void BackUp(int count) override { backup_count_ = count; }
+
+  bool Skip(int count) override {
+    const void* data;
+    int size;
+    while (Next(&data, &size)) {
+      if (size >= count) {
+        BackUp(size - count);
+        return true;
+      }
+      // size < count;
+      count -= size;
+    }
+    // error or we have too large count;
+    return false;
+  }
+
+  ::google::protobuf::int64 ByteCount() const override {
+    return byte_count_ - backup_count_;
+  }
+
+ private:
+  int64_t byte_count_;
+  int64_t backup_count_;
+  grpc_byte_buffer_reader reader_;
+  grpc_slice slice_;
+};
+
+};  // namespace grpc
+
 namespace paddle {
 namespace operators {
 namespace detail {
+// Source provides a way for a particular RPC implementation to provide
+// received data to ParseFrom.
+class Source {
+ public:
+  virtual ~Source() {}
+
+  // Return the stream that contains the data to be parsed.
+  // Note that this method might be invoked more than once if
+  // ParseFrom needs to fall back to a more expensive parsing method.
+  // Every call must return a stream pointing at the beginning of
+  // the serialized RecvTensorResponse.
+  //
+  // Note that a subsequent call to contents() invalidates previous
+  // results of contents().
+  //
+  // Ownership of the returned stream is retained by the Source and
+  // should not be deleted by the caller.
+  virtual ::google::protobuf::io::ZeroCopyInputStream* contents() = 0;
+};
 
 // A ZeroCopyInputStream that reads from a grpc::ByteBuffer.
 class GrpcByteBufferSource
@@ -46,6 +144,42 @@ class GrpcByteBufferSource
   ::google::protobuf::int64 byte_count_;
 };
 
+class GrpcByteBufferSourceWrapper : public Source {
+ public:
+  GrpcByteBufferSourceWrapper(GrpcByteBufferSource* source) : source_(source) {}
+  virtual ::google::protobuf::io::ZeroCopyInputStream* contents() override {
+    return source_;
+  }
+
+ private:
+  GrpcByteBufferSource* source_;
+};
+
+class GrpcByteSource : public Source {
+ public:
+  explicit GrpcByteSource(grpc_byte_buffer* buffer) : buffer_(buffer) {}
+  ~GrpcByteSource() override { DeleteStream(); }
+
+  typedef ::grpc::GrpcBufferReader Reader;
+
+  ::google::protobuf::io::ZeroCopyInputStream* contents() override {
+    DeleteStream();
+    stream_ = new (&space_) Reader(buffer_);
+    return stream_;
+  }
+
+ private:
+  void DeleteStream() {
+    if (stream_) {
+      stream_->~Reader();
+    }
+  }
+
+  grpc_byte_buffer* buffer_;  // Not owned
+  Reader* stream_ = nullptr;  // Points into space_ if non-nullptr
+  char space_[sizeof(Reader)];
+};
+
 }  // namespace detail
 }  // namespace operators
 }  // namespace paddle

paddle/fluid/operators/detail/grpc_client.cc

@@ -13,7 +13,9 @@ See the License for the specific language governing permissions and
 limitations under the License. */
 
 #include "grpc_client.h"
+#include <sys/time.h>
 #include "paddle/fluid/framework/threadpool.h"
+
 namespace paddle {
 namespace operators {
 namespace detail {
@@ -31,8 +33,9 @@ bool RPCClient::AsyncSendVariable(const std::string& ep,
 
   framework::Async([var_name_val, p_ctx, ep_val, p_scope, time_out, ch, this] {
     auto* var = p_scope->FindVar(var_name_val);
-    sendrecv::VariableMessage req;
-    SerializeToMessage(var_name_val, var, *p_ctx, &req);
+
+    ::grpc::ByteBuffer req;
+    SerializeToByteBuffer(var_name_val, var, *p_ctx, &req);
 
     // varhandle
     VarHandle var_h;
@@ -46,8 +49,11 @@ bool RPCClient::AsyncSendVariable(const std::string& ep,
     s->Prepare(var_h, time_out);
     s->response_call_back_ = NULL;
 
-    auto rpc = s->stub_->AsyncSendVariable(s->context_.get(), req, &cq_);
-    rpc->Finish(&s->reply_, &s->status_, (void*)s);
+    auto call = std::move(s->stub_g_.PrepareUnaryCall(
+        s->context_.get(), "/sendrecv.SendRecvService/SendVariable", req,
+        &cq_));
+    call->StartCall();
+    call->Finish(&s->reply_, &s->status_, (void*)s);
   });
 
   req_count_++;
@@ -56,9 +62,19 @@ bool RPCClient::AsyncSendVariable(const std::string& ep,
 }
 
 void ProcGetResponse(const VarHandle& var_h,
-                     const sendrecv::VariableMessage& ret_msg) {
-  auto* outvar = var_h.scope->FindVar(var_h.name);
-  DeserializeFromMessage(ret_msg, *var_h.ctx, outvar);
+                     // const sendrecv::VariableMessage& ret_msg) {
+                     const ::grpc::ByteBuffer& ret_msg) {
+  framework::Variable* outvar = NULL;
+  DeserializeFromByteBuffer(ret_msg, *var_h.ctx, var_h.scope, outvar);
+}
+
+template <typename T>
+void RequestToByteBuffer(const T& proto, ::grpc::ByteBuffer* result) {
+  ::grpc::Slice slice(proto.ByteSizeLong());
+  proto.SerializeWithCachedSizesToArray(
+      const_cast<uint8_t*>(reinterpret_cast<const uint8_t*>(slice.begin())));
+  ::grpc::ByteBuffer tmp(&slice, 1);
+  result->Swap(&tmp);
 }
 
 bool RPCClient::AsyncGetVariable(const std::string& ep,
@@ -88,8 +104,13 @@ bool RPCClient::AsyncGetVariable(const std::string& ep,
     s->Prepare(var_h, time_out);
     s->response_call_back_ = ProcGetResponse;
 
-    auto rpc = s->stub_->AsyncGetVariable(s->context_.get(), req, &cq_);
-    rpc->Finish(&s->reply_, &s->status_, (void*)s);
+    ::grpc::ByteBuffer buf;
+    RequestToByteBuffer<sendrecv::VariableMessage>(req, &buf);
+
+    auto call = std::move(s->stub_g_.PrepareUnaryCall(
+        s->context_.get(), "/sendrecv.SendRecvService/GetVariable", buf, &cq_));
+    call->StartCall();
+    call->Finish(&s->reply_, &s->status_, (void*)s);
   });
 
   req_count_++;

paddle/fluid/operators/detail/grpc_client.h

@@ -25,6 +25,11 @@ limitations under the License. */
 #include <string>
 #include <vector>
 
+#include <grpc++/generic/generic_stub.h>
+#include <grpc++/grpc++.h>
+#include <grpc++/support/byte_buffer.h>
+#include <grpc++/support/slice.h>
+
 #include "paddle/fluid/framework/data_type.h"
 #include "paddle/fluid/framework/lod_tensor.h"
 #include "paddle/fluid/framework/scope.h"
@@ -49,15 +54,11 @@ struct VarHandle {
   }
 };
 
-void ProcGetResponse(const VarHandle& var_h,
-                     const sendrecv::VariableMessage& msg);
+void ProcGetResponse(const VarHandle& var_h, const grpc::ByteBuffer& msg);
 
 class BaseProcessor {
  public:
-  explicit BaseProcessor(std::shared_ptr<grpc::Channel> ch) {
-    stub_ = sendrecv::SendRecvService::NewStub(ch);
-    context_ = NULL;
-  }
+  explicit BaseProcessor(std::shared_ptr<grpc::Channel> ch) { context_ = NULL; }
 
   virtual ~BaseProcessor() {}
 
@@ -82,19 +83,18 @@ class BaseProcessor {
 
   virtual void Process() = 0;
 
-  std::unique_ptr<sendrecv::SendRecvService::Stub> stub_;
   std::unique_ptr<grpc::ClientContext> context_;
   grpc::Status status_;
   VarHandle var_h_;
 };
 
-typedef std::function<void(const VarHandle&, const sendrecv::VoidMessage&)>
+typedef std::function<void(const VarHandle&, const ::grpc::ByteBuffer&)>
     RequestSendCallBack;
 
 class SendProcessor : public BaseProcessor {
  public:
   explicit SendProcessor(std::shared_ptr<grpc::Channel> ch)
-      : BaseProcessor(ch) {}
+      : BaseProcessor(ch), stub_g_(ch) {}
 
   virtual ~SendProcessor() {}
 
@@ -104,17 +104,18 @@ class SendProcessor : public BaseProcessor {
     }
   }
 
-  sendrecv::VoidMessage reply_;
+  ::grpc::GenericStub stub_g_;
+  ::grpc::ByteBuffer reply_;
   RequestSendCallBack response_call_back_ = NULL;
 };
 
-typedef std::function<void(const VarHandle&, const sendrecv::VariableMessage&)>
+typedef std::function<void(const VarHandle&, const ::grpc::ByteBuffer&)>
     RequestGetCallBack;
 
 class GetProcessor : public BaseProcessor {
  public:
   explicit GetProcessor(std::shared_ptr<grpc::Channel> ch)
-      : BaseProcessor(ch) {}
+      : BaseProcessor(ch), stub_g_(ch) {}
 
   virtual ~GetProcessor() {}
 
@@ -124,30 +125,37 @@ class GetProcessor : public BaseProcessor {
     }
   }
 
-  sendrecv::VariableMessage reply_;
+  ::grpc::ByteBuffer reply_;
+  ::grpc::GenericStub stub_g_;
   RequestGetCallBack response_call_back_ = ProcGetResponse;
 };
 
 class BatchBarrierProcessor : public BaseProcessor {
  public:
   explicit BatchBarrierProcessor(std::shared_ptr<grpc::Channel> ch)
-      : BaseProcessor(ch) {}
+      : BaseProcessor(ch) {
+    stub_ = sendrecv::SendRecvService::NewStub(ch);
+  }
 
   virtual ~BatchBarrierProcessor() {}
 
   virtual void Process() {}
   sendrecv::VoidMessage reply_;
+  std::unique_ptr<sendrecv::SendRecvService::Stub> stub_;
 };
 
 class FetchBarrierProcessor : public BaseProcessor {
  public:
   explicit FetchBarrierProcessor(std::shared_ptr<grpc::Channel> ch)
-      : BaseProcessor(ch) {}
+      : BaseProcessor(ch) {
+    stub_ = sendrecv::SendRecvService::NewStub(ch);
+  }
 
   virtual ~FetchBarrierProcessor() {}
 
   virtual void Process() {}
   sendrecv::VariableMessage reply_;
+  std::unique_ptr<sendrecv::SendRecvService::Stub> stub_;
 };
 
 class RPCClient {

paddle/fluid/operators/detail/grpc_server.cc

@@ -14,7 +14,7 @@ limitations under the License. */
 
 #include "paddle/fluid/operators/detail/grpc_server.h"
 
-using grpc::ServerAsyncResponseWriter;
+using ::grpc::ServerAsyncResponseWriter;
 
 namespace paddle {
 namespace operators {
@@ -26,9 +26,10 @@ enum CallStatus { PROCESS = 0, FINISH };
 // https://stackoverflow.com/questions/41732884/grpc-multiple-services-in-cpp-async-server
 class RequestBase {
  public:
-  explicit RequestBase(sendrecv::SendRecvService::AsyncService* service,
-                       grpc::ServerCompletionQueue* cq)
-      : service_(service), cq_(cq), status_(PROCESS) {
+  explicit RequestBase(GrpcService::AsyncService* service,
+                       ::grpc::ServerCompletionQueue* cq,
+                       const platform::DeviceContext* dev_ctx)
+      : service_(service), cq_(cq), status_(PROCESS), dev_ctx_(dev_ctx) {
     PADDLE_ENFORCE(cq_);
   }
   virtual ~RequestBase() {}
@@ -42,55 +43,58 @@ class RequestBase {
   }
 
  protected:
-  grpc::ServerContext ctx_;
-  sendrecv::SendRecvService::AsyncService* service_;
-  grpc::ServerCompletionQueue* cq_;
+  ::grpc::ServerContext ctx_;
+  GrpcService::AsyncService* service_;
+  ::grpc::ServerCompletionQueue* cq_;
   CallStatus status_;
+  const platform::DeviceContext* dev_ctx_;
 };
 
-typedef std::pair<std::string, sendrecv::VariableMessage> MessageWithName;
-
 class RequestSend final : public RequestBase {
  public:
-  explicit RequestSend(sendrecv::SendRecvService::AsyncService* service,
-                       grpc::ServerCompletionQueue* cq,
-                       SimpleBlockQueue<MessageWithName>* queue)
-      : RequestBase(service, cq), queue_(queue), responder_(&ctx_) {
-    service_->RequestSendVariable(&ctx_, &request_, &responder_, cq_, cq_,
-                                  this);
+  explicit RequestSend(GrpcService::AsyncService* service,
+                       ::grpc::ServerCompletionQueue* cq,
+                       framework::Scope* scope, ReceivedQueue* queue,
+                       const platform::DeviceContext* dev_ctx)
+      : RequestBase(service, cq, dev_ctx), queue_(queue), responder_(&ctx_) {
+    request_.reset(new VariableResponse(scope, dev_ctx_));
+    int method_id = static_cast<int>(detail::GrpcMethod::kSendVariable);
+    service_->RequestAsyncUnary(method_id, &ctx_, request_.get(), &responder_,
+                                cq_, cq_, this);
   }
 
   virtual ~RequestSend() {}
 
-  virtual std::string GetReqName() { return request_.varname(); }
+  virtual std::string GetReqName() { return request_->Varname(); }
 
   virtual void Process() {
-    MessageWithName msg_with_name =
-        std::make_pair(request_.varname(), std::move(request_));
-    queue_->Push(std::move(msg_with_name));
-    responder_.Finish(reply_, grpc::Status::OK, this);
+    queue_->Push(std::make_pair(request_->Varname(), request_));
+
+    sendrecv::VoidMessage reply;
+    responder_.Finish(reply, ::grpc::Status::OK, this);
     status_ = FINISH;
   }
 
  protected:
-  sendrecv::VariableMessage request_;
-  sendrecv::VoidMessage reply_;
-  SimpleBlockQueue<MessageWithName>* queue_;
+  std::shared_ptr<VariableResponse> request_;
+  ReceivedQueue* queue_;
   ServerAsyncResponseWriter<sendrecv::VoidMessage> responder_;
 };
 
 class RequestGet final : public RequestBase {
  public:
-  explicit RequestGet(sendrecv::SendRecvService::AsyncService* service,
-                      grpc::ServerCompletionQueue* cq, framework::Scope* scope,
+  explicit RequestGet(GrpcService::AsyncService* service,
+                      ::grpc::ServerCompletionQueue* cq,
+                      framework::Scope* scope,
                       const platform::DeviceContext* dev_ctx,
                       SimpleBlockQueue<MessageWithName>* queue)
-      : RequestBase(service, cq),
+      : RequestBase(service, cq, dev_ctx),
         responder_(&ctx_),
         scope_(scope),
-        dev_ctx_(dev_ctx),
         queue_(queue) {
-    service_->RequestGetVariable(&ctx_, &request_, &responder_, cq_, cq_, this);
+    int method_id = static_cast<int>(detail::GrpcMethod::kGetVariable);
+    service_->RequestAsyncUnary(method_id, &ctx_, &request_, &responder_, cq_,
+                                cq_, this);
   }
 
   virtual ~RequestGet() {}
@@ -101,24 +105,26 @@ class RequestGet final : public RequestBase {
     // proc request.
     std::string var_name = request_.varname();
     auto* var = scope_->FindVar(var_name);
+
+    ::grpc::ByteBuffer reply;
     if (var_name != FETCH_BARRIER_MESSAGE) {
-      SerializeToMessage(var_name, var, *dev_ctx_, &reply_);
+      SerializeToByteBuffer(var_name, var, *dev_ctx_, &reply);
     }
-    // TODO(gongwb): check var's info.
-    responder_.Finish(reply_, grpc::Status::OK, this);
+
+    responder_.Finish(reply, ::grpc::Status::OK, this);
     status_ = FINISH;
-    MessageWithName msg_with_name =
-        //          request name    reply
-        std::make_pair(var_name, std::move(reply_));
-    queue_->Push(msg_with_name);
+
+    if (var_name == FETCH_BARRIER_MESSAGE) {
+      sendrecv::VariableMessage msg;
+      MessageWithName msg_with_name = std::make_pair(var_name, msg);
+      queue_->Push(msg_with_name);
+    }
   }
 
  protected:
   sendrecv::VariableMessage request_;
-  sendrecv::VariableMessage reply_;
-  ServerAsyncResponseWriter<sendrecv::VariableMessage> responder_;
+  ServerAsyncResponseWriter<::grpc::ByteBuffer> responder_;
   framework::Scope* scope_;
-  const platform::DeviceContext* dev_ctx_;
   SimpleBlockQueue<MessageWithName>* queue_;
 };
 
@@ -133,8 +139,8 @@ void AsyncGRPCServer::WaitClientGet(int count) {
 }
 
 void AsyncGRPCServer::RunSyncUpdate() {
-  grpc::ServerBuilder builder;
-  builder.AddListeningPort(address_, grpc::InsecureServerCredentials());
+  ::grpc::ServerBuilder builder;
+  builder.AddListeningPort(address_, ::grpc::InsecureServerCredentials());
   builder.SetMaxSendMessageSize(std::numeric_limits<int>::max());
   builder.SetMaxReceiveMessageSize(std::numeric_limits<int>::max());
   builder.RegisterService(&service_);
@@ -182,8 +188,8 @@ void AsyncGRPCServer::TryToRegisterNewSendOne() {
   if (is_shut_down_) {
     return;
   }
-  RequestSend* send =
-      new RequestSend(&service_, cq_send_.get(), &var_recv_queue_);
+  RequestSend* send = new RequestSend(&service_, cq_send_.get(), scope_,
+                                      &var_recv_queue_, dev_ctx_);
   VLOG(4) << "Create RequestSend status:" << send->Status();
 }
 
@@ -198,7 +204,7 @@ void AsyncGRPCServer::TryToRegisterNewGetOne() {
 }
 
 // FIXME(typhoonzero): change cq_name to enum.
-void AsyncGRPCServer::HandleRequest(grpc::ServerCompletionQueue* cq,
+void AsyncGRPCServer::HandleRequest(::grpc::ServerCompletionQueue* cq,
                                     std::string cq_name,
                                     std::function<void()> TryToRegisterNewOne) {
   TryToRegisterNewOne();

paddle/fluid/operators/detail/grpc_server.h

@@ -14,28 +14,35 @@ limitations under the License. */
 
 #pragma once
 
+#include <grpc++/grpc++.h>
+#include <thread>
+
 #include "paddle/fluid/framework/lod_tensor.h"
 #include "paddle/fluid/framework/scope.h"
 #include "paddle/fluid/framework/selected_rows.h"
 #include "paddle/fluid/framework/var_type.h"
+#include "paddle/fluid/operators/detail/sendrecvop_utils.h"
 #include "paddle/fluid/operators/detail/simple_block_queue.h"
 
 #include "paddle/fluid/operators/detail/send_recv.grpc.pb.h"
 #include "paddle/fluid/operators/detail/send_recv.pb.h"
 
-#include <grpc++/grpc++.h>
-#include <grpc/support/log.h>
-#include <thread>
-#include "paddle/fluid/operators/detail/sendrecvop_utils.h"
+#include "paddle/fluid/operators/detail/grpc_service.h"
+
+//#include <grpc/support/log.h>
 
 namespace paddle {
 namespace operators {
 namespace detail {
 
+typedef std::pair<std::string, std::shared_ptr<VariableResponse>>
+    ReceivedMessage;
+typedef SimpleBlockQueue<ReceivedMessage> ReceivedQueue;
+
 typedef std::pair<std::string, sendrecv::VariableMessage> MessageWithName;
 class RequestBase;
 
-class AsyncGRPCServer final : public sendrecv::SendRecvService::Service {
+class AsyncGRPCServer final {
  public:
   explicit AsyncGRPCServer(const std::string &address) : address_(address) {}
 
@@ -50,14 +57,16 @@ class AsyncGRPCServer final : public sendrecv::SendRecvService::Service {
 
   void SetDevCtx(const platform::DeviceContext *dev_ctx) { dev_ctx_ = dev_ctx; }
 
-  const MessageWithName Get() { return this->var_recv_queue_.Pop(); }
+  const ReceivedMessage Get() { return this->var_recv_queue_.Pop(); }
 
-  void Push(const MessageWithName &msg) { this->var_recv_queue_.Push(msg); }
+  void Push(const std::string &msg_name) {
+    this->var_recv_queue_.Push(std::make_pair(msg_name, nullptr));
+  }
 
   void ShutDown();
 
  protected:
-  void HandleRequest(grpc::ServerCompletionQueue *cq, std::string cq_name,
+  void HandleRequest(::grpc::ServerCompletionQueue *cq, std::string cq_name,
                      std::function<void()> TryToRegisterNewOne);
   void TryToRegisterNewSendOne();
   void TryToRegisterNewGetOne();
@@ -66,18 +75,19 @@ class AsyncGRPCServer final : public sendrecv::SendRecvService::Service {
  private:
   std::mutex cq_mutex_;
   volatile bool is_shut_down_ = false;
-  std::unique_ptr<grpc::ServerCompletionQueue> cq_send_;
-  std::unique_ptr<grpc::ServerCompletionQueue> cq_get_;
+  std::unique_ptr<::grpc::ServerCompletionQueue> cq_send_;
+  std::unique_ptr<::grpc::ServerCompletionQueue> cq_get_;
 
-  sendrecv::SendRecvService::AsyncService service_;
-  std::unique_ptr<grpc::Server> server_;
+  GrpcService::AsyncService service_;
+  std::unique_ptr<::grpc::Server> server_;
 
   std::string address_;
   framework::Scope *scope_;
   const platform::DeviceContext *dev_ctx_;
+
   // received variable from RPC, operators fetch variable from this queue.
-  SimpleBlockQueue<MessageWithName> var_recv_queue_;
   SimpleBlockQueue<MessageWithName> var_get_queue_;
+  ReceivedQueue var_recv_queue_;
 
   // condition of the sub program
   std::mutex barrier_mutex_;

paddle/fluid/operators/detail/grpc_service.h

+//   Copyright (c) 2018 PaddlePaddle 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.
+
+#pragma once
+
+#include <grpc++/impl/codegen/async_stream.h>
+#include <grpc++/impl/codegen/async_unary_call.h>
+#include <grpc++/impl/codegen/proto_utils.h>
+#include <grpc++/impl/codegen/rpc_method.h>
+#include <grpc++/impl/codegen/service_type.h>
+#include <grpc++/impl/codegen/status.h>
+#include <grpc++/impl/codegen/stub_options.h>
+#include <grpc++/impl/codegen/sync_stream.h>
+#include <grpc++/support/byte_buffer.h>
+#include "paddle/fluid/operators/detail/variable_response.h"
+
+// NOTE: This method was originally created by tensorflow
+//       (https://github.com/tensorflow/tensorflow/) we borrow this
+//       method and did some modifications so that we can parse gRPC
+//       requests without too much copying of the tensor data.
+
+namespace grpc {
+class CompletionQueue;
+class Channel;
+class RpcService;
+class ServerCompletionQueue;
+class ServerContext;
+
+// Support parsing/unparsing of tensorflow::VariableResponse.
+// Wire-format is identical to RecvVariableResponse.
+template <>
+class SerializationTraits<paddle::operators::detail::VariableResponse> {
+ public:
+  static Status Serialize(
+      const paddle::operators::detail::VariableResponse& msg,
+      grpc_byte_buffer** bp, bool* own_buffer) {
+    PADDLE_ENFORCE(false, "SerializationTraits::Serialize not implemented!");
+    return Status();
+  }
+  static Status Deserialize(grpc_byte_buffer* buffer,
+                            paddle::operators::detail::VariableResponse* msg,
+                            int max_message_size = INT_MAX) {
+    if (buffer == nullptr) {
+      return Status(StatusCode::INTERNAL, "No payload");
+    }
+
+    Status result = g_core_codegen_interface->ok();
+    if (result.ok()) {
+      paddle::operators::detail::GrpcByteSource source(buffer);
+      int ret = msg->Parse(&source);
+      if (ret != 0) {
+        result = Status(StatusCode::INTERNAL, "VariableResponse parse error");
+      }
+    }
+    g_core_codegen_interface->grpc_byte_buffer_destroy(buffer);
+    return result;
+  }
+};
+}  // namespace grpc
+
+namespace paddle {
+namespace operators {
+namespace detail {
+
+enum class GrpcMethod {
+  kSendVariable,
+  kGetVariable,
+};
+
+static const int kGrpcNumMethods =
+    static_cast<int>(GrpcMethod::kGetVariable) + 1;
+
+inline const char* GrpcMethodName(GrpcMethod id) {
+  switch (id) {
+    case GrpcMethod::kSendVariable:
+      return "/sendrecv.SendRecvService/SendVariable";
+    case GrpcMethod::kGetVariable:
+      return "/sendrecv.SendRecvService/GetVariable";
+  }
+
+  // Shouldn't be reached.
+  PADDLE_ENFORCE(false, "Invalid id: not found valid method name");
+  return nullptr;
+}
+
+class GrpcService final {
+ public:
+  class AsyncService : public ::grpc::Service {
+   public:
+    AsyncService() {
+      for (int i = 0; i < kGrpcNumMethods; ++i) {
+        AddMethod(new ::grpc::internal::RpcServiceMethod(
+            GrpcMethodName(static_cast<GrpcMethod>(i)),
+            ::grpc::internal::RpcMethod::NORMAL_RPC, nullptr));
+        ::grpc::Service::MarkMethodAsync(i);
+      }
+    }
+    virtual ~AsyncService() {}
+
+    // Make RequestAsyncUnary public for grpc_call.h
+    using ::grpc::Service::RequestAsyncUnary;
+  };
+};
+
+}  // namespace detail
+}  // namespace operator
+}  // namespace paddle

paddle/fluid/operators/detail/send_recv.proto

@@ -32,6 +32,9 @@ enum VarType {
   SELECTED_ROWS = 1;
 }
 
+// NOTICE(gongwb):don't modify this proto if you are not
+//   not familar with how we serialize in sendrecvop_utils.h
+//   and deserilize it in  variable_response.h.
 message VariableMessage {
   enum Type {
     // Pod Types
@@ -45,7 +48,6 @@ message VariableMessage {
   }
 
   message LodData { repeated int64 lod_data = 1; }
-
   string varname = 1;
   // TODO(Yancey1989): reference framework::proto::VarDesc::VarType
   VarType type = 2;
@@ -64,3 +66,5 @@ message VariableMessage {
 }
 
 message VoidMessage {}
+
+message TestMessage { int64 test_1 = 1; }

paddle/fluid/operators/detail/sendrecvop_utils.cc

@@ -13,61 +13,19 @@ See the License for the specific language governing permissions and
 limitations under the License. */
 
 #include "paddle/fluid/operators/detail/sendrecvop_utils.h"
+#include <sys/time.h>
+#include <thread>
 #include "google/protobuf/io/coded_stream.h"
 #include "google/protobuf/io/zero_copy_stream.h"
 #include "paddle/fluid/framework/data_type.h"
 #include "paddle/fluid/operators/detail/bytebuffer_stream.h"
 #include "paddle/fluid/operators/detail/proto_encoder_helper.h"
+#include "paddle/fluid/operators/detail/variable_response.h"
 
 namespace paddle {
 namespace operators {
 namespace detail {
 
-void SerializeToMessage(const std::string& name, const framework::Variable* var,
-                        const platform::DeviceContext& ctx,
-                        sendrecv::VariableMessage* msg) {
-  msg->set_varname(name);
-  std::ostringstream oss;
-  switch (framework::ToVarType(var->Type())) {
-    case framework::proto::VarType_Type_LOD_TENSOR:
-      msg->set_type(sendrecv::VarType::LOD_TENSOR);
-      framework::SerializeToStream(oss, var->Get<framework::LoDTensor>(), ctx);
-      break;
-    case framework::proto::VarType_Type_SELECTED_ROWS:
-      msg->set_type(sendrecv::VarType::SELECTED_ROWS);
-      framework::SerializeToStream(oss, var->Get<framework::SelectedRows>(),
-                                   ctx);
-      break;
-    default: {
-      PADDLE_THROW("Serialize does not support type: %s",
-                   typeid(var->Type()).name());
-      break;
-    }
-  }
-  msg->set_serialized(oss.str());
-}
-
-void DeserializeFromMessage(const sendrecv::VariableMessage& msg,
-                            const platform::DeviceContext& ctx,
-                            framework::Variable* var) {
-  std::istringstream iss(msg.serialized());
-  switch (msg.type()) {
-    case sendrecv::VarType::LOD_TENSOR:
-      DeserializeFromStream(iss, var->GetMutable<framework::LoDTensor>(), ctx);
-      break;
-    case sendrecv::VarType::SELECTED_ROWS: {
-      DeserializeFromStream(iss, var->GetMutable<framework::SelectedRows>(),
-                            ctx);
-      break;
-    }
-    default: {
-      PADDLE_THROW("Deserialize does not support type: %s",
-                   typeid(var->Type()).name());
-      break;
-    }
-  }
-}
-
 void SerializeToByteBuffer(const std::string& name, framework::Variable* var,
                            const platform::DeviceContext& ctx,
                            ::grpc::ByteBuffer* msg) {
@@ -123,6 +81,7 @@ void SerializeToByteBuffer(const std::string& name, framework::Variable* var,
             static_cast<const platform::CUDADeviceContext&>(ctx);
         auto copy_size = tensor.memory_size();
         payload = memory::Alloc(cpu, copy_size);
+
         memory::Copy(cpu, payload,
                      boost::get<platform::CUDAPlace>(tensor.place()),
                      reinterpret_cast<const void*>(tensor.data<void>()),
@@ -132,6 +91,7 @@ void SerializeToByteBuffer(const std::string& name, framework::Variable* var,
           platform::CPUPlace cpu;
           memory::Free(cpu, backing);
         };
+
 #endif
       } else {
         payload = tensor.data<void>();
@@ -219,80 +179,11 @@ void SerializeToByteBuffer(const std::string& name, framework::Variable* var,
 
 void DeserializeFromByteBuffer(const ::grpc::ByteBuffer& msg,
                                const platform::DeviceContext& ctx,
-                               framework::Variable* var) {
-  sendrecv::VariableMessage meta;
-  GrpcByteBufferSource source;
-  source.Init(msg);
-  ::google::protobuf::io::CodedInputStream input(&source);
-  // do zerocopy parsing
-  PADDLE_ENFORCE(meta.ParseFromCodedStream(&input));
-  PADDLE_ENFORCE(input.ConsumedEntireMessage());
-  // dims is needed by both tensor and selectedrows
-  std::vector<int> vecdims;
-  for (auto& d : meta.dims()) {
-    vecdims.push_back(d);
-  }
-  framework::DDim dims = framework::make_ddim(vecdims);
-
-  if (meta.type() == sendrecv::LOD_TENSOR) {
-    auto* tensor = var->GetMutable<framework::LoDTensor>();
-    tensor->Resize(dims);
-    void* tensor_data = tensor->mutable_data(
-        ctx.GetPlace(),
-        paddle::operators::detail::ToTypeIndex(meta.data_type()));
-    framework::LoD lod;
-    for (int i = 0; i < meta.lod_level(); ++i) {
-      framework::Vector<size_t> v;
-      for (int j = 0; j < meta.lod(i).lod_data_size(); ++j) {
-        v.push_back(meta.lod(i).lod_data(j));
-      }
-      lod.push_back(v);
-    }
-    tensor->set_lod(lod);
-    // How to avoid copying and use the message buffer directly?
-    // Maybe need to find a way to release all memory except tensor content.
-    if (platform::is_gpu_place(ctx.GetPlace())) {
-#ifdef PADDLE_WITH_CUDA
-      platform::CPUPlace cpu;
-      auto& gpu_dev_ctx = static_cast<const platform::CUDADeviceContext&>(ctx);
-      memory::Copy(boost::get<platform::CUDAPlace>(tensor->place()),
-                   tensor_data, cpu,
-                   reinterpret_cast<const void*>(meta.serialized().data()),
-                   meta.serialized().size(), gpu_dev_ctx.stream());
-      ctx.Wait();
-#endif
-    } else {
-      memcpy(tensor_data,
-             reinterpret_cast<const void*>(meta.serialized().data()),
-             meta.serialized().size());
-    }
-  } else if (meta.type() == sendrecv::SELECTED_ROWS) {
-    auto* slr = var->GetMutable<framework::SelectedRows>();
-    auto* tensor = slr->mutable_value();
-    int64_t* rows_data = slr->mutable_rows()->data();
-    tensor->Resize(dims);
-    void* tensor_data = tensor->mutable_data(
-        ctx.GetPlace(),
-        paddle::operators::detail::ToTypeIndex(meta.data_type()));
-    if (platform::is_gpu_place(ctx.GetPlace())) {
-#ifdef PADDLE_WITH_CUDA
-      platform::CPUPlace cpu;
-      auto& gpu_dev_ctx = static_cast<const platform::CUDADeviceContext&>(ctx);
-      memory::Copy(boost::get<platform::CUDAPlace>(tensor->place()),
-                   tensor_data, cpu,
-                   reinterpret_cast<const void*>(meta.serialized().data()),
-                   meta.serialized().size(), gpu_dev_ctx.stream());
-      ctx.Wait();
-#endif
-    } else {
-      memcpy(tensor_data,
-             reinterpret_cast<const void*>(meta.serialized().data()),
-             meta.serialized().size());
-    }
-    // copy rows CPU data, GPU data will be copied lazly
-    memcpy(rows_data, reinterpret_cast<const void*>(meta.rows().data()),
-           meta.rows().size());
-  }
+                               const framework::Scope* scope,
+                               framework::Variable*& var) {
+  operators::detail::VariableResponse resp(scope, &ctx);
+  PADDLE_ENFORCE(resp.Parse(msg) == 0, "parse bytebuffer to tensor error!");
+  var = resp.GetVar();
 }
 
 }  // namespace detail

paddle/fluid/operators/detail/sendrecvop_utils.h

@@ -21,6 +21,7 @@ limitations under the License. */
 #include "paddle/fluid/framework/lod_tensor.h"
 #include "paddle/fluid/framework/scope.h"
 #include "paddle/fluid/framework/selected_rows.h"
+#include "paddle/fluid/framework/tensor_util.h"
 #include "paddle/fluid/framework/var_type.h"
 
 #include "paddle/fluid/operators/detail/send_recv.grpc.pb.h"
@@ -36,21 +37,14 @@ namespace detail {
 
 typedef void (*DestroyCallback)(void*);
 
-void SerializeToMessage(const std::string& name, const framework::Variable* var,
-                        const platform::DeviceContext& ctx,
-                        sendrecv::VariableMessage* msg);
-
-void DeserializeFromMessage(const sendrecv::VariableMessage& msg,
-                            const platform::DeviceContext& ctx,
-                            framework::Variable* var);
-
 void SerializeToByteBuffer(const std::string& name, framework::Variable* var,
                            const platform::DeviceContext& ctx,
                            ::grpc::ByteBuffer* msg);
 
 void DeserializeFromByteBuffer(const ::grpc::ByteBuffer& msg,
                                const platform::DeviceContext& ctx,
-                               framework::Variable* var);
+                               const framework::Scope* scope,
+                               framework::Variable*& var);
 
 inline std::type_index ToTypeIndex(sendrecv::VariableMessage::Type type) {
   switch (type) {

paddle/fluid/operators/detail/test_serde.cc

@@ -16,11 +16,13 @@ limitations under the License. */
 #include <string>
 #include <thread>
 
+#include <google/protobuf/text_format.h>
 #include "gtest/gtest.h"
 #include "paddle/fluid/framework/lod_tensor.h"
 #include "paddle/fluid/framework/tensor_util.h"
 #include "paddle/fluid/framework/variable.h"
 #include "paddle/fluid/operators/detail/sendrecvop_utils.h"
+#include "paddle/fluid/operators/detail/variable_response.h"
 #include "paddle/fluid/operators/math/math_function.h"
 #include "paddle/fluid/platform/place.h"
 #include "paddle/fluid/string/printf.h"
@@ -31,19 +33,21 @@ namespace operators = paddle::operators;
 namespace math = paddle::operators::math;
 namespace memory = paddle::memory;
 
-void RunSerdeTestTensor(platform::Place place) {
-  // serialize var to ByteBuffer
-  framework::Variable var;
-  auto* tensor = var.GetMutable<framework::LoDTensor>();
-  tensor->Resize(framework::make_ddim({4, 8, 4, 2}));
-  framework::LoD lod;
-  lod.push_back(framework::Vector<size_t>({1, 3, 8}));
-  tensor->set_lod(lod);
-  int tensor_numel = 4 * 8 * 4 * 2;
+void RunSerdeTestSelectedRows(platform::Place place) {
   platform::DeviceContextPool& pool = platform::DeviceContextPool::Instance();
   auto& ctx = *pool.Get(place);
+
+  // serialize var to ByteBuffer
+  framework::Variable var;
+  auto* slr = var.GetMutable<framework::SelectedRows>();
+  auto* tensor = slr->mutable_value();
+  auto* rows = slr->mutable_rows();
+  tensor->Resize(framework::make_ddim({2, 10}));
   tensor->mutable_data<float>(place);
-  math::set_constant(ctx, tensor, 31.9);
+  int tensor_numel = 2 * 10;
+  math::set_constant(ctx, tensor, 32.7);
+  rows->push_back(3);
+  rows->push_back(10);
 
   ::grpc::ByteBuffer msg;
   operators::detail::SerializeToByteBuffer("myvar", &var, ctx, &msg);
@@ -56,62 +60,67 @@ void RunSerdeTestTensor(platform::Place place) {
   for (const auto& s : slices) {
     tmp.append(reinterpret_cast<const char*>(s.begin()), s.size());
   }
+
   sendrecv::VariableMessage varmsg;
   EXPECT_TRUE(varmsg.ParseFromString(tmp));
+
   EXPECT_EQ(varmsg.varname(), "myvar");
-  EXPECT_EQ(varmsg.type(), 0);
-  EXPECT_EQ(varmsg.dims()[0], 4);
-  EXPECT_EQ(varmsg.dims()[1], 8);
-  EXPECT_EQ(varmsg.dims()[2], 4);
-  EXPECT_EQ(varmsg.dims()[3], 2);
-  EXPECT_EQ(varmsg.lod_level(), 1);
-  EXPECT_EQ(varmsg.lod(0).lod_data(0), 1);
-  EXPECT_EQ(varmsg.lod(0).lod_data(1), 3);
-  EXPECT_EQ(varmsg.lod(0).lod_data(2), 8);
+  EXPECT_EQ(varmsg.type(), 1);
 
   const float* tensor_data =
       reinterpret_cast<const float*>(varmsg.serialized().data());
+  const int64_t* rows_data =
+      reinterpret_cast<const int64_t*>(varmsg.rows().data());
   for (int i = 0; i < tensor_numel; ++i) {
-    EXPECT_FLOAT_EQ(tensor_data[i], 31.9);
+    EXPECT_FLOAT_EQ(tensor_data[i], 32.7);
   }
-
+  EXPECT_EQ(rows_data[0], 3);
+  EXPECT_EQ(rows_data[1], 10);
   // deserialize zero-copy
-  framework::Variable var2;
-  operators::detail::DeserializeFromByteBuffer(msg, ctx, &var2);
-  auto tensor2 = var2.Get<framework::LoDTensor>();
+  // framework::Variable var2;
+  // operators::detail::DeserializeFromByteBuffer(msg, ctx, &var2);
+  framework::Scope scope;
+  scope.Var("myvar");
+  operators::detail::TensorResponse resp(&scope, &ctx);
+  EXPECT_EQ(resp.Parse(msg), 0);
+
+  framework::Variable* var2 = resp.GetVar();
+
+  auto* slr2 = var2->GetMutable<framework::SelectedRows>();
+  auto* tensor2 = slr2->mutable_value();
+  auto* rows2 = slr2->mutable_rows();
   float* tensor_data2 = nullptr;
   framework::Tensor tmp_tensor;
 
   if (platform::is_gpu_place(ctx.GetPlace())) {
     platform::CPUPlace cpu;
-    framework::TensorCopy(tensor2, cpu, &tmp_tensor);
+    framework::TensorCopy(*tensor2, cpu, &tmp_tensor);
     tensor_data2 = tmp_tensor.data<float>();
   } else {
-    tensor_data2 = const_cast<float*>(tensor2.data<float>());
+    tensor_data2 = const_cast<float*>(tensor2->data<float>());
   }
+  const int64_t* rows_data2 = rows2->data();
 
-  EXPECT_EQ(varmsg.lod_level(), 1);
-  EXPECT_EQ(varmsg.lod(0).lod_data(0), 1);
-  EXPECT_EQ(varmsg.lod(0).lod_data(1), 3);
-  EXPECT_EQ(varmsg.lod(0).lod_data(2), 8);
-  for (int i = 0; i < tensor_numel; ++i) EXPECT_FLOAT_EQ(tensor_data2[i], 31.9);
+  for (int i = 0; i < tensor_numel; ++i) {
+    EXPECT_FLOAT_EQ(tensor_data2[i], 32.7);
+  }
+  EXPECT_EQ(rows_data2[0], 3);
+  EXPECT_EQ(rows_data2[1], 10);
 }
 
-void RunSerdeTestSelectedRows(platform::Place place) {
-  platform::DeviceContextPool& pool = platform::DeviceContextPool::Instance();
-  auto& ctx = *pool.Get(place);
-
+void RunTestLodTensor(platform::Place place, int from_type = 0) {
   // serialize var to ByteBuffer
   framework::Variable var;
-  auto* slr = var.GetMutable<framework::SelectedRows>();
-  auto* tensor = slr->mutable_value();
-  auto* rows = slr->mutable_rows();
-  tensor->Resize(framework::make_ddim({2, 10}));
+  auto* tensor = var.GetMutable<framework::LoDTensor>();
+  tensor->Resize(framework::make_ddim({4, 8, 4, 2}));
+  framework::LoD lod;
+  lod.push_back(framework::Vector<size_t>({1, 3, 8}));
+  tensor->set_lod(lod);
+  int tensor_numel = 4 * 8 * 4 * 2;
+  platform::DeviceContextPool& pool = platform::DeviceContextPool::Instance();
+  auto& ctx = *pool.Get(place);
   tensor->mutable_data<float>(place);
-  int tensor_numel = 2 * 10;
-  math::set_constant(ctx, tensor, 32.7);
-  rows->push_back(3);
-  rows->push_back(10);
+  math::set_constant(ctx, tensor, 31.9);
 
   ::grpc::ByteBuffer msg;
   operators::detail::SerializeToByteBuffer("myvar", &var, ctx, &msg);
@@ -126,43 +135,75 @@ void RunSerdeTestSelectedRows(platform::Place place) {
   }
   sendrecv::VariableMessage varmsg;
   EXPECT_TRUE(varmsg.ParseFromString(tmp));
-
   EXPECT_EQ(varmsg.varname(), "myvar");
-  EXPECT_EQ(varmsg.type(), 1);
+  EXPECT_EQ(varmsg.type(), 0);
+  EXPECT_EQ(varmsg.dims()[0], 4);
+  EXPECT_EQ(varmsg.dims()[1], 8);
+  EXPECT_EQ(varmsg.dims()[2], 4);
+  EXPECT_EQ(varmsg.dims()[3], 2);
+  EXPECT_EQ(varmsg.lod_level(), 1);
+  EXPECT_EQ(varmsg.lod(0).lod_data(0), 1);
+  EXPECT_EQ(varmsg.lod(0).lod_data(1), 3);
+  EXPECT_EQ(varmsg.lod(0).lod_data(2), 8);
 
   const float* tensor_data =
       reinterpret_cast<const float*>(varmsg.serialized().data());
-  const int64_t* rows_data =
-      reinterpret_cast<const int64_t*>(varmsg.rows().data());
   for (int i = 0; i < tensor_numel; ++i) {
-    EXPECT_FLOAT_EQ(tensor_data[i], 32.7);
+    EXPECT_FLOAT_EQ(tensor_data[i], 31.9);
   }
-  EXPECT_EQ(rows_data[0], 3);
-  EXPECT_EQ(rows_data[1], 10);
+
+  // message binary
+  std::string str;
+  varmsg.SerializeToString(&str);
+
+  // message bytebuffer
+  ::grpc::Slice slices_2[1];
+  int num_slices = 1;
+  slices_2[0] = ::grpc::Slice(str.length());
+  memcpy(const_cast<uint8_t*>(slices_2[0].begin()), str.c_str(), str.length());
+  ::grpc::ByteBuffer bytebuffer2(&slices_2[0], num_slices);
+
   // deserialize zero-copy
-  framework::Variable var2;
-  operators::detail::DeserializeFromByteBuffer(msg, ctx, &var2);
+  framework::Scope scope;
+  scope.Var("myvar");
+  operators::detail::TensorResponse resp(&scope, &ctx);
+  if (from_type == 0) {
+    EXPECT_EQ(resp.Parse(msg), 0);
+  } else {
+    EXPECT_EQ(resp.Parse(bytebuffer2), 0);
+  }
 
-  auto* slr2 = var2.GetMutable<framework::SelectedRows>();
-  auto* tensor2 = slr2->mutable_value();
-  auto* rows2 = slr2->mutable_rows();
+  framework::Variable* var2 = resp.GetVar();
+
+  auto tensor2 = var2->Get<framework::LoDTensor>();
   float* tensor_data2 = nullptr;
   framework::Tensor tmp_tensor;
 
   if (platform::is_gpu_place(ctx.GetPlace())) {
     platform::CPUPlace cpu;
-    framework::TensorCopy(*tensor2, cpu, &tmp_tensor);
+    framework::TensorCopy(tensor2, cpu, &tmp_tensor);
     tensor_data2 = tmp_tensor.data<float>();
   } else {
-    tensor_data2 = const_cast<float*>(tensor2->data<float>());
+    tensor_data2 = const_cast<float*>(tensor2.data<float>());
   }
-  const int64_t* rows_data2 = rows2->data();
 
-  for (int i = 0; i < tensor_numel; ++i) {
-    EXPECT_FLOAT_EQ(tensor_data2[i], 32.7);
-  }
-  EXPECT_EQ(rows_data2[0], 3);
-  EXPECT_EQ(rows_data2[1], 10);
+  EXPECT_EQ(varmsg.lod_level(), 1);
+  EXPECT_EQ(varmsg.lod(0).lod_data(0), 1);
+  EXPECT_EQ(varmsg.lod(0).lod_data(1), 3);
+  EXPECT_EQ(varmsg.lod(0).lod_data(2), 8);
+  for (int i = 0; i < tensor_numel; ++i) EXPECT_FLOAT_EQ(tensor_data2[i], 31.9);
+}
+
+TEST(LodTensor, GPU) {
+  platform::CUDAPlace place;
+  RunTestLodTensor(place);
+  RunTestLodTensor(place, 1);
+}
+
+TEST(LodTensor, CPU) {
+  platform::CPUPlace place;
+  RunTestLodTensor(place);
+  RunTestLodTensor(place, 1);
 }
 
 TEST(SelectedRows, CPU) {
@@ -174,13 +215,3 @@ TEST(SelectedRows, GPU) {
   platform::CUDAPlace place;
   RunSerdeTestSelectedRows(place);
 }
-
-TEST(Tensor, CPU) {
-  platform::CPUPlace place;
-  RunSerdeTestTensor(place);
-}
-
-TEST(Tensor, GPU) {
-  platform::CUDAPlace place;
-  RunSerdeTestTensor(place);
-}
\ No newline at end of file

paddle/fluid/operators/detail/variable_response.cc

+//   Copyright (c) 2018 PaddlePaddle 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 "paddle/fluid/operators/detail/variable_response.h"
+#include <string.h>
+#include "paddle/fluid/operators/detail/send_recv.pb.h"
+#include "paddle/fluid/operators/detail/sendrecvop_utils.h"
+
+namespace paddle {
+namespace operators {
+namespace detail {
+
+enum WireType {
+  WIRETYPE_VARINT = 0,
+  WIRETYPE_LENGTH_DELIMITED = 2,
+};
+
+inline int GetTagFieldNumber(uint32_t tag) { return tag >> 3; }
+
+inline WireType GetTagWireType(uint32_t tag) {
+  return static_cast<WireType>(tag & 0x7);
+}
+
+bool ReadVarintSizeAsInt(::google::protobuf::io::CodedInputStream* input,
+                         int* result) {
+  uint64_t v;
+  if (input->ReadVarint64(&v) && v <= static_cast<uint64_t>(INT_MAX)) {
+    *result = static_cast<int>(v);
+    return true;
+  } else {
+    return false;
+  }
+}
+
+bool ReadRaw(::google::protobuf::io::CodedInputStream* input,
+             const platform::DeviceContext& dev_ctx, platform::Place place,
+             void* dest, int size) {
+  const void* data = NULL;
+  int size_to_write = 0;
+
+  if (platform::is_gpu_place(place)) {
+#ifdef PADDLE_WITH_CUDA
+    auto& gpu_dev_ctx =
+        static_cast<const platform::CUDADeviceContext&>(dev_ctx);
+    platform::CPUPlace cpu;
+
+    char* p = reinterpret_cast<char*>(dest);
+    while (size > 0) {
+      if (!input->GetDirectBufferPointer(&data, &size_to_write)) {
+        return false;
+      }
+
+      memory::Copy(boost::get<platform::CUDAPlace>(place),
+                   reinterpret_cast<void*>(p), cpu, data, size_to_write,
+                   gpu_dev_ctx.stream());
+      p += size_to_write;
+      size -= size_to_write;
+
+      input->Skip(size_to_write);
+    }
+    gpu_dev_ctx.Wait();
+#else
+    PADDLE_THROW("Unexpected branch");
+#endif
+    return true;
+  }
+
+  char* p = reinterpret_cast<char*>(dest);
+  while (size > 0) {
+    if (!input->GetDirectBufferPointer(&data, &size_to_write)) {
+      return false;
+    }
+    // TODO(gongwb): can we avoid copy?
+    platform::CPUPlace cpu;
+    memory::Copy(cpu, reinterpret_cast<void*>(p), cpu, data, size_to_write);
+
+    p += size_to_write;
+    size -= size_to_write;
+
+    input->Skip(size_to_write);
+  }
+
+  return true;
+}
+
+bool VariableResponse::CopyLodTensorData(
+    ::google::protobuf::io::CodedInputStream* input,
+    const platform::DeviceContext& ctx, framework::DDim& dims, int length) {
+  auto var = scope_->FindVar(meta_.varname());
+  auto* tensor = var->GetMutable<framework::LoDTensor>();
+  tensor->Resize(dims);
+
+  framework::LoD lod;
+  for (int i = 0; i < meta_.lod_level(); ++i) {
+    framework::Vector<size_t> v;
+    for (int j = 0; j < meta_.lod(i).lod_data_size(); ++j) {
+      v.push_back(meta_.lod(i).lod_data(j));
+    }
+    lod.push_back(v);
+  }
+  tensor->set_lod(lod);
+
+  void* tensor_data =
+      tensor->mutable_data(ctx.GetPlace(), ToTypeIndex(meta_.data_type()));
+
+  if (!ReadRaw(input, ctx, tensor->place(), tensor_data, length)) {
+    return false;
+  }
+
+  return true;
+}
+
+inline framework::DDim GetDims(
+    const ::google::protobuf::RepeatedField<::google::protobuf::int64>& dims) {
+  std::vector<int> vecdims;
+  for (auto& d : dims) {
+    vecdims.push_back(d);
+  }
+  return framework::make_ddim(vecdims);
+}
+
+bool VariableResponse::CopySelectRowsTensorData(
+    ::google::protobuf::io::CodedInputStream* input,
+    const platform::DeviceContext& ctx, framework::DDim& dims, int length) {
+  auto var = scope_->FindVar(meta_.varname());
+  auto* slr = var->GetMutable<framework::SelectedRows>();
+  auto* tensor = slr->mutable_value();
+  tensor->Resize(dims);
+  void* tensor_data = tensor->mutable_data(
+      ctx.GetPlace(),
+      paddle::operators::detail::ToTypeIndex(meta_.data_type()));
+
+  if (!ReadRaw(input, ctx, tensor->place(), tensor_data, length)) {
+    return false;
+  }
+
+  return true;
+}
+
+bool VariableResponse::CopySelectRowsData(
+    ::google::protobuf::io::CodedInputStream* input,
+    const platform::DeviceContext& ctx, int length) {
+  auto var = scope_->FindVar(meta_.varname());
+  auto* slr = var->GetMutable<framework::SelectedRows>();
+  int64_t* rows_data = slr->mutable_rows()->data();
+
+  // copy rows CPU data, GPU data will be copied lazily.
+  platform::CPUPlace cpu;
+  if (!ReadRaw(input, ctx, cpu, rows_data, length)) {
+    return false;
+  }
+
+  return true;
+}
+
+bool ParseLodData(::google::protobuf::io::CodedInputStream* input,
+                  std::vector<int64_t>* lod) {
+  while (true) {
+    auto p = input->ReadTagWithCutoff(127);
+    int tag = GetTagFieldNumber(p.first);
+    WireType wt = GetTagWireType(p.first);
+
+    if (!p.second) {
+      return (tag == 0);
+    }
+
+    switch (tag) {
+      case sendrecv::VariableMessage_LodData::kLodDataFieldNumber: {
+        uint64_t v;
+        if (wt == WIRETYPE_VARINT) {
+          if (!input->ReadVarint64(&v)) {
+            return false;
+          }
+          lod->push_back(v);
+          break;
+        }
+
+        if (wt == WIRETYPE_LENGTH_DELIMITED) {
+          int length = 0;
+          if (!input->ReadVarintSizeAsInt(&length)) {
+            return tag;
+          }
+
+          for (int i = 0; i < length; i++) {
+            uint64_t v;
+            if (!input->ReadVarint64(&v)) {
+              return false;
+            }
+            lod->push_back(v);
+          }
+          break;
+        }
+
+        return false;
+      }
+      default: { return false; }
+    }
+  }
+
+  return true;
+}
+
+int VariableResponse::Parse(const ::grpc::ByteBuffer& byte_buffer) {
+  GrpcByteBufferSource source;
+  source.Init(byte_buffer);
+  GrpcByteBufferSourceWrapper r(&source);
+
+  return Parse(&r);
+}
+
+int VariableResponse::Parse(Source* source) {
+  ::google::protobuf::io::ZeroCopyInputStream* input_stream =
+      source->contents();
+  ::google::protobuf::io::CodedInputStream input(input_stream);
+  input.SetTotalBytesLimit(INT_MAX, INT_MAX);
+
+  while (true) {
+    auto p = input.ReadTagWithCutoff(127);
+    int tag = GetTagFieldNumber(p.first);
+    WireType wt = GetTagWireType(p.first);
+    if (!p.second) {
+      if (tag != 0) {
+        return -1;
+      }
+
+      return 0;
+    }
+
+    switch (tag) {
+      case sendrecv::VariableMessage::kVarnameFieldNumber: {
+        uint32_t length;
+        if ((wt != WIRETYPE_LENGTH_DELIMITED) || !input.ReadVarint32(&length)) {
+          return tag;
+        }
+
+        std::string temp;
+        if (!input.ReadString(&temp, length)) {
+          return tag;
+        }
+
+        meta_.set_varname(temp);
+        break;
+      }
+      case sendrecv::VariableMessage::kTypeFieldNumber: {
+        uint64_t v;
+        if ((wt != WIRETYPE_VARINT) || !input.ReadVarint64(&v)) {
+          return tag;
+        }
+
+        meta_.set_type(static_cast<::sendrecv::VarType>(v));
+        break;
+      }
+      case sendrecv::VariableMessage::kDataTypeFieldNumber: {
+        uint64_t v = 0;
+        if ((wt != WIRETYPE_VARINT) || !input.ReadVarint64(&v)) {
+          return tag;
+        }
+
+        meta_.set_data_type(static_cast<::sendrecv::VariableMessage_Type>(v));
+        break;
+      }
+      case sendrecv::VariableMessage::kDimsFieldNumber: {
+        // not packed
+        if (wt == WIRETYPE_VARINT) {
+          uint64_t v;
+          if (!input.ReadVarint64(&v)) {
+            return tag;
+          }
+          meta_.add_dims(v);
+          break;
+        }
+
+        // packed
+        if (wt == WIRETYPE_LENGTH_DELIMITED) {
+          int length = 0;
+          if (!input.ReadVarintSizeAsInt(&length)) {
+            return tag;
+          }
+          for (int i = 0; i < length; i++) {
+            uint64_t v;
+            if (!input.ReadVarint64(&v)) {
+              return tag;
+            }
+            meta_.add_dims(v);
+          }
+          break;
+        }
+
+        return tag;
+      }
+      case sendrecv::VariableMessage::kLodLevelFieldNumber: {
+        uint64_t v = 0;
+        if ((wt != WIRETYPE_VARINT) || !input.ReadVarint64(&v)) {
+          return tag;
+        }
+        meta_.set_lod_level(static_cast<int64_t>(v));
+        break;
+      }
+      case sendrecv::VariableMessage::kLodFieldNumber: {
+        int length = 0;
+        if (wt != WIRETYPE_LENGTH_DELIMITED ||
+            !ReadVarintSizeAsInt(&input, &length)) {
+          return tag;
+        }
+
+        std::pair<::google::protobuf::io::CodedInputStream::Limit, int> p =
+            input.IncrementRecursionDepthAndPushLimit(length);
+
+        std::vector<int64_t> lod_data;
+        if (p.second < 0 || !ParseLodData(&input, &lod_data)) {
+          return tag;
+        }
+
+        if (!input.DecrementRecursionDepthAndPopLimit(p.first)) {
+          return false;
+        }
+
+        if (lod_data.size() == 0) {
+          break;
+        }
+
+        auto lod = meta_.add_lod();
+        for (uint32_t i = 0; i < lod_data.size(); i++) {
+          lod->add_lod_data(lod_data[i]);
+        }
+        break;
+      }
+      case sendrecv::VariableMessage::kSerializedFieldNumber: {
+        PADDLE_ENFORCE((meta_.type() == sendrecv::SELECTED_ROWS ||
+                        meta_.type() == sendrecv::LOD_TENSOR) &&
+                           meta_.varname() != "",
+                       "meta info should be got first!");
+
+        int length = 0;
+        if (wt != WIRETYPE_LENGTH_DELIMITED ||
+            !ReadVarintSizeAsInt(&input, &length)) {
+          return tag;
+        }
+
+        framework::DDim dims = GetDims(meta_.dims());
+        if (meta_.type() == sendrecv::LOD_TENSOR) {
+          PADDLE_ENFORCE(meta_.lod_size() >= 0,
+                         "lod info should be got first!");
+          if (!CopyLodTensorData(&input, *dev_ctx_, dims, length)) {
+            return tag;
+          }
+          break;
+        }
+
+        if (meta_.type() == sendrecv::SELECTED_ROWS) {
+          if (!CopySelectRowsTensorData(&input, *dev_ctx_, dims, length)) {
+            return tag;
+          }
+          break;
+        }
+
+        return tag;
+      }
+      case sendrecv::VariableMessage::kRowsFieldNumber: {
+        PADDLE_ENFORCE((meta_.type() == sendrecv::SELECTED_ROWS ||
+                        meta_.type() == sendrecv::LOD_TENSOR) &&
+                           meta_.varname() != "",
+                       "meta info should be got first!");
+
+        int length = 0;
+        if (wt != WIRETYPE_LENGTH_DELIMITED ||
+            !ReadVarintSizeAsInt(&input, &length)) {
+          return tag;
+        }
+
+        if (!CopySelectRowsData(&input, *dev_ctx_, length)) {
+          return tag;
+        }
+        break;
+      }
+
+      default: {
+        // Unknown tag, return unknown error.
+        return -1;
+      }
+    }
+  }
+
+  return 0;
+}
+
+};  // namespace detail
+};  // namespace operators
+};  // namespace paddle

paddle/fluid/operators/detail/variable_response.h

+//   Copyright (c) 2018 PaddlePaddle 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.
+
+#pragma once
+
+#include "paddle/fluid/framework/data_type.h"
+#include "paddle/fluid/framework/lod_tensor.h"
+#include "paddle/fluid/framework/scope.h"
+#include "paddle/fluid/framework/selected_rows.h"
+#include "paddle/fluid/framework/var_type.h"
+
+#include "paddle/fluid/operators/detail/send_recv.grpc.pb.h"
+#include "paddle/fluid/operators/detail/send_recv.pb.h"
+
+#include "google/protobuf/io/coded_stream.h"
+#include "google/protobuf/io/zero_copy_stream.h"
+#include "paddle/fluid/framework/tensor.h"
+#include "paddle/fluid/operators/detail/bytebuffer_stream.h"
+
+namespace paddle {
+namespace operators {
+namespace detail {
+
+class VariableResponse {
+ public:
+  VariableResponse(const framework::Scope* scope,
+                   const platform::DeviceContext* dev_ctx)
+      : scope_(scope), dev_ctx_(dev_ctx){};
+
+  virtual ~VariableResponse(){};
+
+  // return:
+  // 0:ok.
+  // -1: unkown error.
+  // other: number of error field.
+  int Parse(Source* source);
+
+  // return:
+  // 0:ok.
+  // -1: unkown error.
+  // other: number of error field.
+  int Parse(const ::grpc::ByteBuffer& byte_buffer);
+
+  inline std::string Varname() { return meta_.varname(); }
+
+  // should call parse first.
+  framework::Variable* GetVar() { return scope_->FindVar(meta_.varname()); }
+
+ private:
+  bool CopySelectRowsTensorData(::google::protobuf::io::CodedInputStream* input,
+                                const platform::DeviceContext& ctx,
+                                framework::DDim& dims, int length);
+
+  bool CopySelectRowsData(::google::protobuf::io::CodedInputStream* input,
+                          const platform::DeviceContext& ctx, int length);
+
+  bool CopyLodTensorData(::google::protobuf::io::CodedInputStream* input,
+                         const platform::DeviceContext& ctx,
+                         framework::DDim& dims, int length);
+
+ private:
+  const framework::Scope* scope_;
+  const platform::DeviceContext* dev_ctx_;
+  // only Skeleton
+  sendrecv::VariableMessage meta_;
+};
+
+};  // namespace detail
+};  // namespace operators
+};  // namespace paddle

paddle/fluid/operators/listen_and_serv_op.cc

@@ -69,9 +69,7 @@ class ListenAndServOp : public framework::OperatorBase {
   }
 
   void Stop() override {
-    detail::MessageWithName term_msg;
-    term_msg.first = LISTEN_TERMINATE_MESSAGE;
-    rpc_service_->Push(term_msg);
+    rpc_service_->Push(LISTEN_TERMINATE_MESSAGE);
     rpc_service_->ShutDown();
     server_thread_->join();
   }
@@ -108,7 +106,7 @@ class ListenAndServOp : public framework::OperatorBase {
       size_t recv_var_cnt = 0;
       int batch_barrier = 0;
       while (batch_barrier != fan_in) {
-        const detail::MessageWithName &v = rpc_service_->Get();
+        const detail::ReceivedMessage v = rpc_service_->Get();
         auto recv_var_name = v.first;
         if (recv_var_name == LISTEN_TERMINATE_MESSAGE) {
           LOG(INFO) << "received terminate message and exit";
@@ -121,12 +119,11 @@ class ListenAndServOp : public framework::OperatorBase {
         } else {
           VLOG(3) << "received grad: " << recv_var_name;
           recv_var_cnt++;
-          auto *var = recv_scope.FindVar(recv_var_name);
+          auto var = v.second->GetVar();
           if (var == nullptr) {
             LOG(ERROR) << "Can not find server side var: " << recv_var_name;
             PADDLE_THROW("Can not find server side var");
           }
-          detail::DeserializeFromMessage(v.second, dev_ctx, var);
           if (var->IsType<framework::SelectedRows>()) {
             sparse_vars.push_back(var);
           }

python/paddle/fluid/debuger.py

@@ -16,7 +16,6 @@ import sys
 import re
 from graphviz import GraphPreviewGenerator
 import proto.framework_pb2 as framework_pb2
-import paddle.fluid.core as core
 
 _vartype2str_ = [
     "UNK",
@@ -126,7 +125,6 @@ def pprint_block_codes(block_desc, show_backward=False):
     def is_var_backward(var_desc):
         return "@GRAD" in var_desc.name
 
-    #print(type(block_desc))
     if type(block_desc) is not framework_pb2.BlockDesc:
         block_desc = framework_pb2.BlockDesc.FromString(
             block_desc.serialize_to_string())

python/paddle/fluid/distribute_transpiler.py

@@ -20,6 +20,7 @@ from layer_helper import LayerHelper
 from distributed_spliter import *
 import math
 from . import core
+import debuger
 
 
 class VarBlock:
@@ -289,6 +290,7 @@ class DistributeTranspiler:
                     dtype=v.dtype,
                     shape=v.shape)
                 recv_inputs.append(var)
+
         # step3
         optimize_block = pserver_program.create_block(0)
         # step 4