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Merge branch 'feature/distil' of github.com:mmphys/Grid into feature/distil

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This commit is contained in:
ferben
2019-02-19 17:22:41 +00:00
parent 4522f1e831 c14547ddbe
commit 97c6f770b4
2 changed files with 187 additions and 265 deletions
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213
tests/IO/Test_serialisation.cc
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@ -80,161 +80,138 @@ 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" )
{
std::cout << name << " IO test: writing ...";
std::cout << "IO test: " << name << " -> " << filename << " ...";
// writer needs to be destroyed so that writing physically happens
{
W writer(filename);
write(writer, "testobject", object);
write(writer, tag , object);
}
std::cout << " done. reading...";
R reader(filename);
O buf;
std::unique_ptr<O> buf( new O ); // In case object too big for stack
read(reader, "testobject", buf);
bool good = Serializable::CompareMember(object, buf);
read(reader, tag, *buf);
bool good = Serializable::CompareMember(object, *buf);
if (!good) {
std::cout << " failure!" << std::endl;
if constexpr (EigenIO::is_tensor<O>::value)
dump_tensor(buf,"???");
dump_tensor(*buf,"???");
exit(EXIT_FAILURE);
}
std::cout << " done." << std::endl;
}
#ifdef HAVE_HDF5
typedef Eigen::Tensor<int, 5> ShortRank5Tensor;
//typedef int TestScalar;
typedef std::complex<double> TestScalar;
typedef Eigen::Tensor<TestScalar, 3, Eigen::StorageOptions::RowMajor> TestTensor;
typedef Eigen::TensorFixedSize<TestScalar, Eigen::Sizes<9,4,2>, Eigen::StorageOptions::RowMajor> TestTensorFixed;
typedef std::vector<TestTensorFixed> aTestTensorFixed;
typedef Eigen::TensorFixedSize<SpinColourVector, Eigen::Sizes<11,3,2>, Eigen::StorageOptions::RowMajor> LSCTensor;
typedef Eigen::TensorFixedSize<LorentzColourMatrix, Eigen::Sizes<5,7,2>, Eigen::StorageOptions::RowMajor> LCMTensor;
// From Test_serialisation.cc
typedef Eigen::TensorFixedSize<unsigned short, Eigen::Sizes<5,4,3,2,1>> TensorRank5UShort;
typedef Eigen::TensorFixedSize<unsigned short, Eigen::Sizes<5,4,3,2>, Eigen::StorageOptions::RowMajor> TensorRank5UShortAlt;
typedef Eigen::Tensor<TestScalar, 3, Eigen::StorageOptions::RowMajor> TensorRank3;
typedef Eigen::TensorFixedSize<TestScalar, Eigen::Sizes<9,4,2>, Eigen::StorageOptions::RowMajor> Tensor_9_4_2;
typedef std::vector<Tensor_9_4_2> aTensor_9_4_2;
typedef Eigen::TensorFixedSize<SpinColourVector, Eigen::Sizes<6,5>> LSCTensor;
#ifdef DEBUG
typedef Eigen::TensorFixedSize<iMatrix<iVector<iMatrix<iVector<LorentzColourMatrix,5>,2>,7>,3>, Eigen::Sizes<2,2,11,10,9>, Eigen::StorageOptions::RowMajor> LCMTensor;
#endif
class PerambIOTestClass: Serializable {
public:
using PerambTensor = Eigen::Tensor<SpinColourVector, 6, Eigen::StorageOptions::RowMajor>;
GRID_SERIALIZABLE_CLASS_MEMBERS(PerambIOTestClass
, ShortRank5Tensor, shortRank5Tensor
, PerambTensor, Perambulator
, SpinColourVector, spinColourVector
, SpinColourMatrix, spinColourMatrix
, std::vector<std::string>, DistilParameterNames
, std::vector<int>, DistilParameterValues
, PerambTensor, Perambulator
, PerambTensor, Perambulator2
, SpinColourVector, scv
, SpinColourMatrix, scm
//, TestTensor, Critter
//, TestTensorFixed, FixedCritter
//, aTestTensorFixed, aFixedCritter
//, LSCTensor, MyLSCTensor
//, LCMTensor, MyLCMTensor
, TensorRank5UShort, tensorRank5UShort
, TensorRank3, tensorRank3
, Tensor_9_4_2, tensor_9_4_2
, aTensor_9_4_2, atensor_9_4_2
, LSCTensor, MyLSCTensor
#ifdef DEBUG
, LCMTensor, MyLCMTensor
#endif
);
PerambIOTestClass() : Perambulator(2,3,1,4,5,1), Perambulator2(7,1,6,1,5,1),
DistilParameterNames {"alpha", "beta", "gamma", "delta", "epsilon", "what's f?"},
DistilParameterValues{2,3,1,4,5,1}
, shortRank5Tensor{5,4,3,2,1}
//, Critter(7,3,2)//, aFixedCritter(3)
PerambIOTestClass()
: DistilParameterNames {"alpha", "beta", "gamma", "delta", "epsilon", "zeta"}
, DistilParameterValues{2,3,1,4,5,1}
, Perambulator(2,3,1,4,5,1)
, Perambulator2(7,1,6,1,5,1)
, tensorRank3(7,3,2)
, atensor_9_4_2(3)
{
Sequential_Init(Perambulator);
Sequential_Init(Perambulator2, {-3.1415927,7});
Sequential_Init(shortRank5Tensor);
Grid_complex<double> Flag{1,-3.1415927};
SequentialInit(Perambulator, Flag);
SequentialInit(Perambulator2, Flag);
SequentialInit(tensorRank5UShort);
SequentialInit(tensorRank3, Flag);
SequentialInit(tensor_9_4_2, Flag);
for( auto &t : atensor_9_4_2 )
SequentialInit(t, Flag);
SequentialInit( MyLSCTensor );
#ifdef DEBUG
SequentialInit( MyLCMTensor );
#endif
}
};
void EigenHdf5IOTest(void) {
SpinColourVector scv, scv2;
scv2 = scv;
ioTest<Hdf5Writer, Hdf5Reader, SpinColourVector>("iotest_vector.h5", scv, "SpinColourVector");
SpinColourMatrix scm;
ioTest<Hdf5Writer, Hdf5Reader, SpinColourMatrix>("iotest_matrix.h5", scm, "SpinColourMatrix");
#define TensorWriteReadInnerNoInit( T ) \
filename = "iotest_"s + std::to_string(++TestNum) + "_" #T ".h5"; \
ioTest<Hdf5Writer, Hdf5Reader, T>(filename, t, #T, #T);
#define TensorWriteReadInner( T ) SequentialInit( t ); TensorWriteReadInnerNoInit( T )
#define TensorWriteRead( T ) { T t ; TensorWriteReadInner( T ) }
#define TensorWriteReadV(T, ... ) { T t( __VA_ARGS__ ); TensorWriteReadInner( T ) }
#define TensorWriteReadLarge( T ) { std::unique_ptr<T> p{new T}; T &t{*p}; TensorWriteReadInnerNoInit(T) }
constexpr TestScalar Inc{1,-1};
void EigenHdf5IOTest(void)
{
using namespace std::string_literals;
unsigned int TestNum = 0;
std::string filename;
using TensorSingle = Eigen::TensorFixedSize<int, Eigen::Sizes<1>>;
TensorWriteRead( TensorSingle )
using TensorSimple = Eigen::Tensor<iMatrix<TestScalar,1>, 6>;
TensorWriteReadV( TensorSimple, 1, 1, 1, 1, 1, 1 )
TensorWriteReadV( TensorRank3, 6, 3, 2 )
TensorWriteRead ( Tensor_9_4_2 )
{
using TestTensorSingle = Eigen::TensorFixedSize<int, Eigen::Sizes<1>>;
TestTensorSingle ts;
ts(0) = 7; // lucky
ioTest<Hdf5Writer, Hdf5Reader, TestTensorSingle>("iotest_single.h5", ts, "Tensor_single");
TensorRank5UShort t;
TensorWriteReadInner ( TensorRank5UShort );
std::cout << " Testing alternate memory order read ... ";
TensorRank5UShortAlt t2;
Hdf5Reader reader(filename);
read(reader, "TensorRank5UShort", t2);
bool good = true;
for_all( t2, [&](unsigned short c, unsigned short n,
const std::array<size_t, TensorRank5UShortAlt::NumIndices> &Dims ) {
good = good && ( c == n );
} );
if (!good) {
std::cout << " failure!" << std::endl;
dump_tensor(t2,"t2");
exit(EXIT_FAILURE);
}
std::cout << " done." << std::endl;
}
TensorWriteRead ( LSCTensor )
TensorWriteReadLarge( PerambIOTestClass )
#ifdef DEBUG
std::cout << "sizeof( LCMTensor ) = " << sizeof( LCMTensor ) / 1024 / 1024 << " MB" << std::endl;
TensorWriteReadLarge ( LCMTensor )
// Also write > 4GB of complex numbers (I suspect this will fail inside Hdf5)
{
using TestTensorSimple = Eigen::Tensor<iMatrix<TestScalar,1>, 6>;
TestTensorSimple ts(1,1,1,1,1,1);
ts(0,0,0,0,0,0) = Inc * 3.1415927;
ioTest<Hdf5Writer, Hdf5Reader, TestTensorSimple>("iotest_simple.h5", ts, "Tensor_simple");
static constexpr size_t Num = 0x11000000;
std::cout << "Stress test: " << Num * sizeof( Grid_complex<double> ) / 1024 / 1024
<< " MB array of complex<double>" << std::endl;
using Stress = std::vector<Grid_complex<double>>;
Stress t (Num);
TensorWriteReadInnerNoInit( Stress );
}
TestTensor t(6,3,2);
TestScalar Val{Inc};
for( int i = 0 ; i < t.dimension(0) ; i++)
for( int j = 0 ; j < t.dimension(1) ; j++)
for( int k = 0 ; k < t.dimension(2) ; k++) {
t(i,j,k) = Val;
Val += Inc;
}
ioTest<Hdf5Writer, Hdf5Reader, TestTensor>("iotest_tensor.h5", t, "eigen_tensor_instance_name");
//dump_tensor(t, "t");
// Now serialise a fixed size tensor
using FixedTensor = Eigen::TensorFixedSize<TestScalar, Eigen::Sizes<8,4,3>>;
FixedTensor tf;
Val = Inc;
for( int i = 0 ; i < tf.dimension(0) ; i++)
for( int j = 0 ; j < tf.dimension(1) ; j++)
for( int k = 0 ; k < tf.dimension(2) ; k++) {
tf(i,j,k) = Val;
Val += Inc;
}
ioTest<Hdf5Writer, Hdf5Reader, FixedTensor>("iotest_tensor_fixed.h5", tf, "eigen_tensor_fixed_name");
//dump_tensor(tf, "tf");
PerambIOTestClass o;
//dump_tensor(o.Perambulator, "Perambulator" );
dump_tensor(o.shortRank5Tensor, "shortRank5Tensor");
/*for_all( o.FixedCritter, [&](TestScalar &c, float f, const std::array<size_t,TestTensorFixed::NumIndices> &Dims ){
c = TestScalar{f,-f};
//std::cout << " a(" << Dims[0] << "," << Dims[1] << "," << Dims[2] << ")=" << c;
} );
for( auto &z : o.aFixedCritter )
for_all( z, [&](TestScalar &c, float f, const std::array<size_t,TestTensorFixed::NumIndices> &Dims ){
c = TestScalar{f,-f};
//std::cout << " a(" << Dims[0] << "," << Dims[1] << "," << Dims[2] << ")=" << c;
} );*/
ioTest<Hdf5Writer, Hdf5Reader, PerambIOTestClass>("iotest_object.h5", o, "PerambIOTestClass_object_instance_name");
//DumpMemoryOrder(o.Perambulator);
// Tensor of spin colour
LSCTensor l;
Val = 0;
for( int i = 0 ; i < l.dimension(0) ; i++)
for( int j = 0 ; j < l.dimension(1) ; j++)
for( int k = 0 ; k < l.dimension(2) ; k++)
for( int s = 0 ; s < Ns ; s++ )
for( int c = 0 ; c < Nc ; c++ )
{
l(i,j,k)()(s)(c) = Val;
Val += Inc;
}
ioTest<Hdf5Writer, Hdf5Reader, LSCTensor>("iotest_LSCTensor.h5", l, "LSCTensor_object_instance_name");
//dump_tensor(l, "l");
// Tensor of spin colour
LCMTensor l2;
Val = 0;
for( int i = 0 ; i < l2.dimension(0) ; i++)
for( int j = 0 ; j < l2.dimension(1) ; j++)
for( int k = 0 ; k < l2.dimension(2) ; k++)
for( int l = 0 ; l < Ns ; l++ )
for( int c = 0 ; c < Nc ; c++ )
for( int c2 = 0 ; c2 < Nc ; c2++ )
{
l2(i,j,k)(l)()(c,c2) = Val;
Val += Inc;
}
ioTest<Hdf5Writer, Hdf5Reader, LCMTensor>("iotest_LCMTensor.h5", l2, "LCMTensor_object_instance_name");
//dump_tensor(l2, "l2");
#endif
}
#endif