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Merge branch 'develop' into feature/gpu-port

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This commit is contained in:
Peter Boyle
2019-07-16 11:55:17 +01:00
parent 7c11525d1a c3d0c176ab
commit fa9cd50c5b
274 changed files with 7120 additions and 4663 deletions
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22
tests/IO/Test_ildg_io.cc
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@ -53,7 +53,6 @@ int main (int argc, char ** argv)
GridCartesian Fine(latt_size,simd_layout,mpi_layout);
GridCartesian Coarse(clatt_size,simd_layout,mpi_layout);
GridParallelRNG pRNGa(&Fine);
GridParallelRNG pRNGb(&Fine);
GridSerialRNG sRNGa;
@ -94,6 +93,27 @@ int main (int argc, char ** argv)
_IldgReader.close();
Umu_diff = Umu - Umu_saved;
std::cout <<GridLogMessage<<"**************************************"<<std::endl;
std::cout <<GridLogMessage<<"** Writing out ILDG conf *********"<<std::endl;
std::cout <<GridLogMessage<<"**************************************"<<std::endl;
file = std::string("./ckpoint_scidac.4000");
emptyUserRecord record;
ScidacWriter _ScidacWriter(Fine.IsBoss());
_ScidacWriter.open(file);
_ScidacWriter.writeScidacFieldRecord(Umu,record);
_ScidacWriter.close();
Umu_saved = Umu;
std::cout <<GridLogMessage<<"**************************************"<<std::endl;
std::cout <<GridLogMessage<<"** Reading back ILDG conf *********"<<std::endl;
std::cout <<GridLogMessage<<"**************************************"<<std::endl;
ScidacReader _ScidacReader;
_ScidacReader.open(file);
_ScidacReader.readScidacFieldRecord(Umu,record);
_ScidacReader.close();
Umu_diff = Umu - Umu_saved;
std::cout <<GridLogMessage<< "norm2 Gauge Diff = "<<norm2(Umu_diff)<<std::endl;
Grid_finalize();

193
tests/IO/Test_serialisation.cc
View File

@ -4,11 +4,12 @@
Source file: ./tests/Test_serialisation.cc
Copyright (C) 2015-2016
Copyright (C) 2015-2019
Author: Guido Cossu <guido.cossu@ed.ac.uk>
Author: Antonin Portelli <antonin.portelli@me.com>
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
Author: Michael Marshall <michael.marshall@ed.ac.uk>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@ -28,6 +29,7 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
*************************************************************************************/
/* END LEGAL */
#include <Grid/Grid.h>
#include <typeinfo>
using namespace Grid;
@ -80,26 +82,159 @@ double d = 2*M_PI;
bool b = false;
template <typename W, typename R, typename O>
void ioTest(const std::string &filename, const O &object, const std::string &name)
void ioTest(const std::string &filename, const O &object, const std::string &name,
const char * tag = "testobject", unsigned short Precision = 0 )
{
std::cout << "IO test: " << name << " -> " << filename << " ...";
// writer needs to be destroyed so that writing physically happens
{
W writer(filename);
write(writer, "testobject", object);
if( Precision )
writer.setPrecision(Precision);
write(writer, tag , object);
}
std::cout << " done. reading ...";
R reader(filename);
O buf;
bool good;
std::unique_ptr<O> buf( new O ); // In case object too big for stack
read(reader, "testobject", buf);
good = (object == buf);
std::cout << name << " IO test: " << (good ? "success" : "failure");
std::cout << std::endl;
if (!good) exit(EXIT_FAILURE);
read(reader, tag, *buf);
bool good = Serializable::CompareMember(object, *buf);
if (!good) {
std::cout << " failure!" << std::endl;
exit(EXIT_FAILURE);
}
std::cout << " done." << std::endl;
}
// The only way I could get these iterators to work is to put the begin() and end() functions in the Eigen namespace
// So if Eigen ever defines these, we'll have a conflict and have to change this
namespace Eigen {
template <typename ET>
inline typename std::enable_if<EigenIO::is_tensor<ET>::value, typename EigenIO::Traits<ET>::scalar_type *>::type
begin( ET & et ) { return reinterpret_cast<typename Grid::EigenIO::Traits<ET>::scalar_type *>(et.data()); }
template <typename ET>
inline typename std::enable_if<EigenIO::is_tensor<ET>::value, typename EigenIO::Traits<ET>::scalar_type *>::type
end( ET & et ) { return begin(et) + et.size() * EigenIO::Traits<ET>::count; }
}
// Perform I/O tests on a range of tensor types
// Test coverage: scalars, complex and GridVectors in single, double and default precision
class TensorIO : public Serializable {
using TestScalar = ComplexD;
using SR3 = Eigen::Sizes<9,4,2>;
using SR5 = Eigen::Sizes<5,4,3,2,1>;
using ESO = Eigen::StorageOptions;
using TensorRank3 = Eigen::Tensor<ComplexF, 3, ESO::RowMajor>;
using TensorR5 = Eigen::TensorFixedSize<Real, SR5>;
using TensorR5Alt = Eigen::TensorFixedSize<Real, SR5, ESO::RowMajor>;
using Tensor942 = Eigen::TensorFixedSize<TestScalar, SR3, ESO::RowMajor>;
using aTensor942 = std::vector<Tensor942>;
using Perambulator = Eigen::Tensor<SpinColourVector, 6, ESO::RowMajor>;
using LSCTensor = Eigen::TensorFixedSize<SpinColourMatrix, Eigen::Sizes<6,5>>;
static const Real FlagR;
static const Complex Flag;
static const ComplexF FlagF;
static const TestScalar FlagTS;
static const char * const pszFilePrefix;
void Init(unsigned short Precision)
{
for( auto &s : Perambulator1 ) s = Flag;
for( auto &s : Perambulator2 ) s = Flag;
for( auto &s : tensorR5 ) s = FlagR;
for( auto &s : tensorRank3 ) s = FlagF;
for( auto &s : tensor_9_4_2 ) s = FlagTS;
for( auto &t : atensor_9_4_2 )
for( auto &s : t ) s = FlagTS;
for( auto &s : MyLSCTensor ) s = Flag;
}
// Perform an I/O test for a single Eigen tensor (of any type)
template <typename W, typename R, typename T, typename... IndexTypes>
static void TestOne(const char * MyTypeName, unsigned short Precision, std::string &filename,
const char * pszExtension, unsigned int &TestNum,
typename EigenIO::Traits<T>::scalar_type Flag, IndexTypes... otherDims)
{
using Traits = EigenIO::Traits<T>;
using scalar_type = typename Traits::scalar_type;
std::unique_ptr<T> pTensor{new T(otherDims...)};
for( auto &s : * pTensor ) s = Flag;
filename = pszFilePrefix + std::to_string(++TestNum) + "_" + MyTypeName + pszExtension;
ioTest<W, R, T>(filename, * pTensor, MyTypeName, MyTypeName);
}
public:
GRID_SERIALIZABLE_CLASS_MEMBERS(TensorIO
, SpinColourVector, spinColourVector
, SpinColourMatrix, spinColourMatrix
, std::vector<std::string>, DistilParameterNames
, std::vector<int>, DistilParameterValues
, Perambulator, Perambulator1
, Perambulator, Perambulator2
, TensorR5, tensorR5
, TensorRank3, tensorRank3
, Tensor942, tensor_9_4_2
, aTensor942, atensor_9_4_2
, LSCTensor, MyLSCTensor
);
TensorIO()
: DistilParameterNames {"do", "androids", "dream", "of", "electric", "sheep?"}
, DistilParameterValues{2,3,1,4,5,1}
, Perambulator1(2,3,1,4,5,1)
, Perambulator2(7,1,6,1,5,1)
, tensorRank3(7,3,2)
, atensor_9_4_2(3) {}
#define TEST_PARAMS( T ) #T, Precision, filename, pszExtension, TestNum
// Perform a series of I/O tests for Eigen tensors, including a serialisable object
template <typename WTR_, typename RDR_>
static void Test(const char * pszExtension, unsigned short Precision = 0)
{
// Perform a series of tests on progressively more complex tensors
unsigned int TestNum = 0;
std::string filename;
// Rank 1 tensor containing a single integer
using TensorSingle = Eigen::TensorFixedSize<Integer, Eigen::Sizes<1>>;
TestOne<WTR_, RDR_, TensorSingle>( TEST_PARAMS( TensorSingle ), 7 ); // lucky!
// Rather convoluted way of defining four complex numbers
using TensorSimple = Eigen::Tensor<iMatrix<TestScalar,2>, 6>;
using I = typename TensorSimple::Index; // NB: Never specified, so same for all my test tensors
// Try progressively more complicated tensors
TestOne<WTR_, RDR_, TensorSimple, I,I,I,I,I,I>( TEST_PARAMS( TensorSimple ), FlagTS, 1,1,1,1,1,1 );
TestOne<WTR_, RDR_, TensorRank3, I, I, I>( TEST_PARAMS( TensorRank3 ), FlagF, 6, 3, 2 );
TestOne<WTR_, RDR_, Tensor942>(TEST_PARAMS( Tensor942 ), FlagTS);
TestOne<WTR_, RDR_, LSCTensor>(TEST_PARAMS( LSCTensor ), Flag );
TestOne<WTR_, RDR_, TensorR5>(TEST_PARAMS( TensorR5 ), FlagR);
// Now test a serialisable object containing a number of tensors
{
static const char MyTypeName[] = "TensorIO";
filename = pszFilePrefix + std::to_string(++TestNum) + "_" + MyTypeName + pszExtension;
std::unique_ptr<TensorIO> pObj{new TensorIO()};
pObj->Init(Precision);
ioTest<WTR_, RDR_, TensorIO>(filename, * pObj, MyTypeName, MyTypeName, Precision);
}
// Stress test. Too large for the XML or text readers and writers!
#ifdef STRESS_TEST
const std::type_info &tw = typeid( WTR_ );
if( tw == typeid( Hdf5Writer ) || tw == typeid( BinaryWriter ) ) {
using LCMTensor=Eigen::TensorFixedSize<iMatrix<iVector<iMatrix<iVector<LorentzColourMatrix,5>,2>,7>,3>,
Eigen::Sizes<2,4,11,10,9>, Eigen::StorageOptions::RowMajor>;
std::cout << "sizeof( LCMTensor ) = " << sizeof( LCMTensor ) / 1024 / 1024 << " MB" << std::endl;
TestOne<WTR_, RDR_, LCMTensor>(TEST_PARAMS( LCMTensor ), Flag);
}
#endif
}
};
const Real TensorIO::FlagR {1};
const Complex TensorIO::Flag {1,-1};
const ComplexF TensorIO::FlagF {1,-1};
const TensorIO::TestScalar TensorIO::FlagTS{1,-1};
const char * const TensorIO::pszFilePrefix = "tensor_";
template <typename T>
void tensorConvTestFn(GridSerialRNG &rng, const std::string label)
{
@ -121,12 +256,12 @@ void tensorConvTestFn(GridSerialRNG &rng, const std::string label)
int main(int argc,char **argv)
{
Grid_init(&argc,&argv);
std::cout << std::boolalpha << "==== basic IO" << std::endl; // display true / false for boolean
GridSerialRNG rng;
rng.SeedFixedIntegers(std::vector<int>({42,10,81,9}));
std::cout << "==== basic IO" << std::endl;
XmlWriter WR("bother.xml");
// test basic type writing
@ -146,7 +281,6 @@ int main(int argc,char **argv)
// test serializable class writing
myclass obj(1234); // non-trivial constructor
std::vector<myclass> vec;
std::pair<myenum, myenum> pair;
std::cout << "-- serialisable class writing to 'bother.xml'..." << std::endl;
write(WR,"obj",obj);
@ -154,15 +288,15 @@ int main(int argc,char **argv)
vec.push_back(obj);
vec.push_back(myclass(5678));
vec.push_back(myclass(3838));
pair = std::make_pair(myenum::red, myenum::blue);
write(WR, "objvec", vec);
std::cout << "-- serialisable class writing to std::cout:" << std::endl;
std::cout << obj << std::endl;
std::cout << "-- serialisable class comparison:" << std::endl;
std::cout << "vec[0] == obj: " << ((vec[0] == obj) ? "true" : "false") << std::endl;
std::cout << "vec[1] == obj: " << ((vec[1] == obj) ? "true" : "false") << std::endl;
std::cout << "vec[0] == obj: " << (vec[0] == obj) << std::endl;
std::cout << "vec[1] == obj: " << (vec[1] == obj) << std::endl;
std::cout << "-- pair writing to std::cout:" << std::endl;
std::pair<myenum, myenum> pair = std::make_pair(myenum::red, myenum::blue);
std::cout << pair << std::endl;
// read tests
@ -184,7 +318,15 @@ int main(int argc,char **argv)
#ifdef HAVE_HDF5
ioTest<Hdf5Writer, Hdf5Reader>("iotest.h5", obj, "HDF5 (object) ");
ioTest<Hdf5Writer, Hdf5Reader>("iotest.h5", vec, "HDF5 (vector of objects)");
std::cout << "\n==== detailed Hdf5 tensor tests (Grid::EigenIO)" << std::endl;
TensorIO::Test<Hdf5Writer, Hdf5Reader>(".h5");
#endif
std::cout << "\n==== detailed binary tensor tests (Grid::EigenIO)" << std::endl;
TensorIO::Test<BinaryWriter, BinaryReader>(".bin");
std::cout << "\n==== detailed xml tensor tests (Grid::EigenIO)" << std::endl;
TensorIO::Test<XmlWriter, XmlReader>(".xml", 6);
std::cout << "\n==== detailed text tensor tests (Grid::EigenIO)" << std::endl;
TensorIO::Test<TextWriter, TextReader>(".dat", 5);
std::cout << "\n==== vector flattening/reconstruction" << std::endl;
typedef std::vector<std::vector<std::vector<double>>> vec3d;
@ -227,4 +369,19 @@ int main(int argc,char **argv)
tensorConvTest(rng, ColourVector);
tensorConvTest(rng, SpinMatrix);
tensorConvTest(rng, SpinVector);
{
HMCparameters HMCparams;
HMCparams.StartingType =std::string("CheckpointStart");
HMCparams.StartTrajectory =7;
HMCparams.Trajectories =1000;
HMCparams.NoMetropolisUntil=0;
HMCparams.MD.name =std::string("Force Gradient");
HMCparams.MD.MDsteps = 10;
HMCparams.MD.trajL = 1.0;
XmlWriter HMCwr("HMCparameters.xml");
write(HMCwr,"HMCparameters",HMCparams);
}
Grid_finalize();
}