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PerambMultipleSolves.hpp compiles (not had time to test)

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This commit is contained in:
Michael Marshall
2019-03-12 14:01:29 +00:00
parent c2a3231cdf
commit a0405c6d84
2 changed files with 16 additions and 28 deletions
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31
tests/hadrons/Test_hadrons_distil.cc
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@ -30,6 +30,7 @@
#include <typeinfo>
#include <Hadrons/Application.hpp>
#include <Hadrons/Modules.hpp>
#include <Grid/util/EigenUtil.h>
using namespace Grid;
using namespace Hadrons;
@ -688,13 +689,10 @@ bool DebugEigenTest()
template <typename T>
void DebugGridTensorTest_print( int i )
{
std::cout << i << " : " << EigenIO::is_tensor<T>::value
<< ", rank " << EigenIO::Traits<T>::rank
<< ", rank_non_trivial " << EigenIO::Traits<T>::rank_non_trivial
<< ", count " << EigenIO::Traits<T>::count
<< ", scalar_size " << EigenIO::Traits<T>::scalar_size
<< ", size " << EigenIO::Traits<T>::size
<< std::endl;
// std::cout << i << " : " << EigenIO::is_tensor<T>::value
// << ", Rank " << EigenIO::Traits<T>::Rank
// << ", count " << EigenIO::Traits<T>::count
// << std::endl;
}
// begin() and end() are the minimum necessary to support range-for loops
@ -723,12 +721,12 @@ void EigenSliceExample()
a.setValues({{0, 100, 200}, {300, 400, 500},
{600, 700, 800}, {900, 1000, 1100}});
std::cout << "a\n" << a << std::endl;
DumpMemoryOrder( a, "a" );
dump_tensor( a, "a" );
Eigen::array<typename T2::Index, 2> offsets = {0, 1};
Eigen::array<typename T2::Index, 2> extents = {4, 2};
T2 slice = a.slice(offsets, extents);
std::cout << "slice\n" << slice << std::endl;
DumpMemoryOrder( slice, "slice" );
dump_tensor( slice, "slice" );
std::cout << "\n========================================" << std::endl;
}
@ -741,10 +739,7 @@ void EigenSliceExample2()
T3 a(2,3,4);
std::cout << "Initialising a:";
for_all( a, [&](TestScalar &c, float f, const std::array<size_t,T3::NumIndices> &Dims ){
c = TestScalar{f,-f};
std::cout << " a(" << Dims[0] << "," << Dims[1] << "," << Dims[2] << ")=" << c;
} );
SequentialInit( a );
std::cout << std::endl;
//std::cout << "Validating a:";
float z = 0;
@ -758,22 +753,18 @@ void EigenSliceExample2()
}
//std::cout << std::endl;
//std::cout << "a initialised to:\n" << a << std::endl;
DumpMemoryOrder( a, "a" );
std::cout << "for_all(a):";
for_all( a, [&](TestScalar c, typename T3::Index n, const std::array<size_t,T3::NumIndices> &Dims ){
std::cout << " (" << Dims[0] << "," << Dims[1] << "," << Dims[2] << ")<" << n << ">=" << c;
} );
dump_tensor( a, "a" );
std::cout << std::endl;
Eigen::array<typename T3::Index, 3> offsets = {0,1,1};
Eigen::array<typename T3::Index, 3> extents = {1,2,2};
T3 b;
b = a.slice( offsets, extents );//.reshape(NewExtents);
std::cout << "b = a.slice( offsets, extents ):\n" << b << std::endl;
DumpMemoryOrder( b, "b" );
dump_tensor( b, "b" );
T2 c(3,4);
c = a.chip(0,1);
std::cout << "c = a.chip(0,0):\n" << c << std::endl;
DumpMemoryOrder( c, "c" );
dump_tensor( c, "c" );
//T2 d = b.reshape(extents);
//std::cout << "b.reshape(extents) is:\n" << d << std::endl;
std::cout << "\n========================================" << std::endl;