12345qiupeng
/
gtsam
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

reduce the diff even more

release/4.3a0
Varun Agrawal 2024-08-20 15:50:39 -04:00
parent fd2062b207
commit cea84b8c89
3 changed files with 0 additions and 6 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
gtsam/hybrid/GaussianMixture.cpp
View File

@ -145,8 +145,6 @@ void GaussianMixture::print(const std::string &s,
std::cout << "(" << formatter(dk.first) << ", " << dk.second << "), "; std::cout << "(" << formatter(dk.first) << ", " << dk.second << "), ";
} }
std::cout << "\n"; std::cout << "\n";
std::cout << " logNormalizationConstant: " << logConstant_ << "\n"
<< std::endl;
conditionals_.print( conditionals_.print(
"", [&](Key k) { return formatter(k); }, "", [&](Key k) { return formatter(k); },
[&](const GaussianConditional::shared_ptr &gf) -> std::string { [&](const GaussianConditional::shared_ptr &gf) -> std::string {

1
gtsam/hybrid/HybridBayesNet.cpp
View File

@ -221,7 +221,6 @@ GaussianBayesNet HybridBayesNet::choose(
HybridValues HybridBayesNet::optimize() const { HybridValues HybridBayesNet::optimize() const {
// Collect all the discrete factors to compute MPE // Collect all the discrete factors to compute MPE
DiscreteBayesNet discrete_bn; DiscreteBayesNet discrete_bn;
for (auto &&conditional : *this) { for (auto &&conditional : *this) {
if (conditional->isDiscrete()) { if (conditional->isDiscrete()) {
discrete_bn.push_back(conditional->asDiscrete()); discrete_bn.push_back(conditional->asDiscrete());

3
gtsam/hybrid/tests/testHybridNonlinearFactorGraph.cpp
View File

@ -675,7 +675,6 @@ factor 6: P( m1 | m0 ):
size: 3 size: 3
conditional 0: Hybrid P( x0 | x1 m0) conditional 0: Hybrid P( x0 | x1 m0)
Discrete Keys = (m0, 2), Discrete Keys = (m0, 2),
Choice(m0) Choice(m0)
0 Leaf p(x0 | x1) 0 Leaf p(x0 | x1)
R = [ 10.0499 ] R = [ 10.0499 ]
@ -691,7 +690,6 @@ conditional 0: Hybrid P( x0 | x1 m0)
conditional 1: Hybrid P( x1 | x2 m0 m1) conditional 1: Hybrid P( x1 | x2 m0 m1)
Discrete Keys = (m0, 2), (m1, 2), Discrete Keys = (m0, 2), (m1, 2),
Choice(m1) Choice(m1)
0 Choice(m0) 0 Choice(m0)
0 0 Leaf p(x1 | x2) 0 0 Leaf p(x1 | x2)
@ -721,7 +719,6 @@ conditional 1: Hybrid P( x1 | x2 m0 m1)
conditional 2: Hybrid P( x2 | m0 m1) conditional 2: Hybrid P( x2 | m0 m1)
Discrete Keys = (m0, 2), (m1, 2), Discrete Keys = (m0, 2), (m1, 2),
Choice(m1) Choice(m1)
0 Choice(m0) 0 Choice(m0)
0 0 Leaf p(x2) 0 0 Leaf p(x2)