remove remaining distributed solver stuff

1 files changed, 0 insertions, 46 deletions

diff --git a/examples/dist_train_server.cpp b/examples/dist_train_server.cpp
deleted file mode 100644
index e5ae41e8..00000000
--- a/examples/dist_train_server.cpp
+++ /dev/null
@@ -1,46 +0,0 @@
-// Copyright 2013 Yangqing Jia
-//
-// This is a simple script that allows one to quickly train a network whose
-// parameters are specified by text format protocol buffers.
-// Usage:
-//    train_net net_proto_file solver_proto_file [resume_point_file]
-
-#include <cuda_runtime.h>
-
-#include <cstring>
-
-#include "caffe/caffe.hpp"
-
-using namespace caffe;
-
-int main(int argc, char** argv) {
-  ::google::InitGoogleLogging(argv[0]);
-  if (argc < 3) {
-    LOG(ERROR) << "Usage: dist_train_server solver_proto_file (server|client) [resume_point_file]";
-    return 0;
-  }
-
-  //Caffe::SetDevice(0);
-  Caffe::set_mode(Caffe::CPU);
-
-  SolverParameter solver_param;
-  ReadProtoFromTextFile(argv[1], &solver_param);
-
-  LOG(INFO) << "Starting Optimization";
-  shared_ptr<Solver<float> > solver;
-  if (strcmp(argv[2], "server") == 0) {
-    solver.reset(new DistributedSolverParamServer<float>(solver_param));
-  } else if (strcmp(argv[2], "client") == 0) {
-    solver.reset(new DistributedSolverParamClient<float>(solver_param));
-  }
-
-  if (argc == 4) {
-    LOG(INFO) << "Resuming from " << argv[2];
-    solver->Solve(argv[2]);
-  } else {
-    solver->Solve();
-  }
-  LOG(INFO) << "Optimization Done.";
-
-  return 0;
-}