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authorChris Dyer <cdyer@cs.cmu.edu>2012-03-20 15:37:54 -0400
committerChris Dyer <cdyer@cs.cmu.edu>2012-03-20 15:37:54 -0400
commit34b4752a1eefc002166e95782c2c52747bb08b3a (patch)
tree0045687d1de1d539cd232ba4e71940e9baee72c0 /training
parent0b598b997a7c1d2d9dc255cc2ff1bf9bb2c425a1 (diff)
make c++11 compatible
Diffstat (limited to 'training')
-rw-r--r--training/mpi_batch_optimize.cc3
-rw-r--r--training/mr_optimize_reduce.cc3
-rw-r--r--training/optimize_test.cc2
3 files changed, 3 insertions, 5 deletions
diff --git a/training/mpi_batch_optimize.cc b/training/mpi_batch_optimize.cc
index 046e921c..9f12dba9 100644
--- a/training/mpi_batch_optimize.cc
+++ b/training/mpi_batch_optimize.cc
@@ -29,7 +29,6 @@ namespace mpi = boost::mpi;
#include "sparse_vector.h"
using namespace std;
-using boost::shared_ptr;
namespace po = boost::program_options;
bool InitCommandLine(int argc, char** argv, po::variables_map* conf) {
@@ -270,7 +269,7 @@ int main(int argc, char** argv) {
}
Weights::InitFromFile(conf["means"].as<string>(), &means);
}
- shared_ptr<BatchOptimizer> o;
+ boost::shared_ptr<BatchOptimizer> o;
if (rank == 0) {
const string omethod = conf["optimization_method"].as<string>();
if (omethod == "rprop")
diff --git a/training/mr_optimize_reduce.cc b/training/mr_optimize_reduce.cc
index 15e28fa1..461e6b5f 100644
--- a/training/mr_optimize_reduce.cc
+++ b/training/mr_optimize_reduce.cc
@@ -15,7 +15,6 @@
#include "sparse_vector.h"
using namespace std;
-using boost::shared_ptr;
namespace po = boost::program_options;
void SanityCheck(const vector<double>& w) {
@@ -102,7 +101,7 @@ int main(int argc, char** argv) {
}
Weights::InitFromFile(conf["means"].as<string>(), &means);
}
- shared_ptr<BatchOptimizer> o;
+ boost::shared_ptr<BatchOptimizer> o;
const string omethod = conf["optimization_method"].as<string>();
if (omethod == "rprop")
o.reset(new RPropOptimizer(num_feats)); // TODO add configuration
diff --git a/training/optimize_test.cc b/training/optimize_test.cc
index fe7ca70f..bff2ca03 100644
--- a/training/optimize_test.cc
+++ b/training/optimize_test.cc
@@ -102,7 +102,7 @@ void TestOnline() {
size_t N = 20;
double C = 1.0;
double eta0 = 0.2;
- shared_ptr<LearningRateSchedule> r(new ExponentialDecayLearningRate(N, eta0, 0.85));
+ std::tr1::shared_ptr<LearningRateSchedule> r(new ExponentialDecayLearningRate(N, eta0, 0.85));
//shared_ptr<LearningRateSchedule> r(new StandardLearningRate(N, eta0));
CumulativeL1OnlineOptimizer opt(r, N, C, std::vector<int>());
assert(r->eta(10) < r->eta(1));