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authorKenneth Heafield <github@kheafield.com>2014-01-11 21:02:04 -0800
committerKenneth Heafield <github@kheafield.com>2014-01-11 21:02:04 -0800
commitc148f8429c66103a401ba4c3a029e349cd11aa8a (patch)
treea0239922e00ac9ae5027069f2846ae96c5e768b4
parentb5c7cb3b9a1bfd917235fc79d67169b9d7d98ab0 (diff)
Fix compilation with ancient gcc
-rw-r--r--training/crf/mpi_adagrad_optimize.cc14
1 files changed, 7 insertions, 7 deletions
diff --git a/training/crf/mpi_adagrad_optimize.cc b/training/crf/mpi_adagrad_optimize.cc
index 39bd763e..bac57324 100644
--- a/training/crf/mpi_adagrad_optimize.cc
+++ b/training/crf/mpi_adagrad_optimize.cc
@@ -157,11 +157,11 @@ struct TrainingObserver : public DecoderObserver {
void GetGradient(SparseVector<double>* g) const {
g->clear();
-#if HAVE_CXX11
+#if HAVE_CXX11 && (__GNUC_MINOR__ > 4 || __GNUC__ > 4)
for (auto& gi : acc_grad) {
#else
for (FastSparseVector<prob_t>::const_iterator it = acc_grad.begin(); it != acc_grad.end(); ++it) {
- pair<unsigned, double>& gi = *it;
+ const pair<unsigned, prob_t>& gi = *it;
#endif
g->set_value(gi.first, -gi.second.as_float());
}
@@ -190,7 +190,7 @@ class AdaGradOptimizer {
G() {}
void update(const SparseVector<double>& g, vector<double>* x, SparseVector<double>* sx) {
if (x->size() > G.size()) G.resize(x->size(), 0.0);
-#if HAVE_CXX11
+#if HAVE_CXX11 && (__GNUC_MINOR__ > 4 || __GNUC__ > 4)
for (auto& gi : g) {
#else
for (SparseVector<double>::const_iterator it = g.begin(); it != g.end(); ++it) {
@@ -220,7 +220,7 @@ class AdaGradL1Optimizer {
G.resize(x->size(), 0.0);
u.resize(x->size(), 0.0);
}
-#if HAVE_CXX11
+#if HAVE_CXX11 && (__GNUC_MINOR__ > 4 || __GNUC__ > 4)
for (auto& gi : g) {
#else
for (SparseVector<double>::const_iterator it = g.begin(); it != g.end(); ++it) {
@@ -236,11 +236,11 @@ class AdaGradL1Optimizer {
// compute updates (avoid invalidating iterators by putting them all
// in the vector vupdate and applying them after this)
vector<pair<unsigned, double>> vupdate;
-#if HAVE_CXX11
+#if HAVE_CXX11 && (__GNUC_MINOR__ > 4 || __GNUC__ > 4)
for (auto& xi : *sx) {
#else
- for (SparseVector<double>::const_iterator it = sx->begin(); it != sx->end(); ++it) {
- const pair<unsigned,double>& gi = *it;
+ for (SparseVector<double>::iterator it = sx->begin(); it != sx->end(); ++it) {
+ const pair<unsigned,double>& xi = *it;
#endif
double z = fabs(u[xi.first] / t) - lambda;
double s = 1;