jiri/LA_library
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

Tucked tested on compressed tensors, flattening implemented

Browse Source
This commit is contained in:
Jiri Pittner
2025-10-23 15:29:48 +02:00
parent a3ace7c757
commit cd09d93c27
3 changed files with 151 additions and 10 deletions
Download Patch File Download Diff File Expand all files Collapse all files

59
t.cc
View File

@@ -3619,7 +3619,7 @@ cout << "Error "<<(u*sdiag*vt-abak).norm()<<endl;
}
if(1)
if(0)
{
//tucker of a flat tensor
int r,n;
@@ -3647,5 +3647,62 @@ cout <<"invTucker\n"<<y;
cout <<"Error = "<<(x0-y).norm()<<endl;
}
if(0)
{
//tucker of a non-flat non-symmetric tensor
int r,n;
cin>>r>>n;
INDEXGROUP shape;
{
shape.number=r;
shape.symmetry=0;
shape.range=n;
shape.offset=0;
}
Tensor<double> x(shape);
x.randomize(1.);
cout<<x;
Tensor<double> x0(x);
x0.copyonwrite();
bool inv=true;
NRVec<NRMat<double> > dec=x.Tucker(1e-12,inv);
cout<<"Tucker\n"<<x<<endl;
cout<<dec;
Tensor<double> y = x.inverseTucker(dec,inv);
cout <<"invTucker\n"<<y;
x0.split_index_group(0);
cout <<"Error = "<<(x0-y).norm()<<endl;
}
if(1)
{
//tucker of a non-flat symmetric tensor
int r,n;
cin>>r>>n;
INDEXGROUP shape;
{
shape.number=r;
shape.symmetry= -1;
shape.range=n;
shape.offset=0;
}
Tensor<double> x(shape);
x.randomize(1.);
cout<<x;
Tensor<double> x0(x);
x0.copyonwrite();
bool inv=true;
NRVec<NRMat<double> > dec=x.Tucker(1e-12,inv);
cout<<"Tucker\n"<<x<<endl;
cout<<dec;
Tensor<double> y = x.inverseTucker(dec,inv);
cout <<"invTucker\n"<<y;
Tensor<double> x1=x0.flatten();
cout <<"Error = "<<(x1-y).norm()<<endl;
}
}//main