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https://github.com/paboyle/Grid.git
synced 2025-06-19 00:07:05 +01:00
Still one issue on write
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@ -80,17 +80,19 @@ double d = 2*M_PI;
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bool b = false;
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template <typename W, typename R, typename O>
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void ioTest(const std::string &filename, const O &object, const std::string &name, const char * tag = "testobject" )
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void ioTest(const std::string &filename, const O &object, const std::string &name,
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const char * tag = "testobject", unsigned short Precision = 0 )
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{
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std::cout << "IO test: " << name << " -> " << filename << " ...";
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// writer needs to be destroyed so that writing physically happens
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{
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W writer(filename);
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writer.setPrecision(std::numeric_limits<double>::digits10 + 1);
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if( Precision )
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writer.setPrecision(Precision);
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write(writer, tag , object);
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}
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std::cout << " done. reading...";
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std::cout << " done. reading ...";
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R reader(filename);
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std::unique_ptr<O> buf( new O ); // In case object too big for stack
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@ -99,7 +101,7 @@ void ioTest(const std::string &filename, const O &object, const std::string &nam
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if (!good) {
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std::cout << " failure!" << std::endl;
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if (EigenIO::is_tensor<O>::value)
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dump_tensor(*buf,"???");
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dump_tensor(*buf);
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exit(EXIT_FAILURE);
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}
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std::cout << " done." << std::endl;
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@ -108,16 +110,17 @@ void ioTest(const std::string &filename, const O &object, const std::string &nam
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#ifdef HAVE_HDF5
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typedef std::complex<double> TestScalar;
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typedef Eigen::TensorFixedSize<unsigned short, Eigen::Sizes<5,4,3,2,1>> TensorRank5UShort;
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typedef Eigen::TensorFixedSize<unsigned short, Eigen::Sizes<5,4,3,2>, Eigen::StorageOptions::RowMajor> TensorRank5UShortAlt;
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typedef Eigen::TensorFixedSize<unsigned short, Eigen::Sizes<5,4,3,2,1>, Eigen::StorageOptions::RowMajor> TensorRank5UShortAlt;
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typedef Eigen::Tensor<TestScalar, 3, Eigen::StorageOptions::RowMajor> TensorRank3;
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typedef Eigen::TensorFixedSize<TestScalar, Eigen::Sizes<9,4,2>, Eigen::StorageOptions::RowMajor> Tensor_9_4_2;
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typedef std::vector<Tensor_9_4_2> aTensor_9_4_2;
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typedef Eigen::TensorFixedSize<SpinColourVector, Eigen::Sizes<6,5>> LSCTensor;
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#ifndef DEBUG
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#ifndef NO_STRESS_TESTS
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typedef Eigen::TensorFixedSize<iMatrix<iVector<iMatrix<iVector<LorentzColourMatrix,5>,2>,7>,3>, Eigen::Sizes<2,4,11,10,9>, Eigen::StorageOptions::RowMajor> LCMTensor;
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#endif
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class PerambIOTestClass: Serializable {
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Grid_complex<double> Flag;
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public:
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using PerambTensor = Eigen::Tensor<SpinColourVector, 6, Eigen::StorageOptions::RowMajor>;
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GRID_SERIALIZABLE_CLASS_MEMBERS(PerambIOTestClass
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@ -134,45 +137,52 @@ public:
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, LSCTensor, MyLSCTensor
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);
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PerambIOTestClass()
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: DistilParameterNames {"alpha", "beta", "gamma", "delta", "epsilon", "zeta"}
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: DistilParameterNames {"do", "androids", "dream", "of", "electric", "sheep?"}
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, DistilParameterValues{2,3,1,4,5,1}
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, Perambulator(2,3,1,4,5,1)
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, Perambulator2(7,1,6,1,5,1)
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, tensorRank3(7,3,2)
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, atensor_9_4_2(3)
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//, Flag(1,-3.1415927)
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, Flag(1,-1)
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{
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//Grid_complex<double> Flag{1,-3.1415927}; // Gives errors on readback for text types
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Grid_complex<double> Flag{1,-1};
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SequentialInit(Perambulator, Flag);
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SequentialInit(Perambulator2, Flag);
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SequentialInit(tensorRank5UShort);
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SequentialInit(tensorRank3, Flag);
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SequentialInit(tensor_9_4_2, Flag);
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for( auto &t : atensor_9_4_2 ) SequentialInit(t, Flag);
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SequentialInit( MyLSCTensor );
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SequentialInit( MyLSCTensor, Flag );
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}
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};
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#define TensorWriteReadInnerNoInit( T ) \
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filename = "iotest_" + std::to_string(++TestNum) + "_" #T + pszExtension; \
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ioTest<WTR_, RDR_, T>(filename, t, #T, #T);
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#define TensorWriteReadInner( T ) SequentialInit( t ); TensorWriteReadInnerNoInit( T )
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#define TensorWriteReadInner( T ) SequentialInit( t, Flag, Precision ); TensorWriteReadInnerNoInit( T )
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#define TensorWriteRead( T ) { T t ; TensorWriteReadInner( T ) }
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#define TensorWriteReadV(T, ... ) { T t( __VA_ARGS__ ); TensorWriteReadInner( T ) }
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#define TensorWriteReadLarge( T ) { std::unique_ptr<T> p{new T}; T &t{*p}; TensorWriteReadInnerNoInit(T) }
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template <typename WTR_, typename RDR_>
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void EigenHdf5IOTest(const char * pszExtension)
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void EigenHdf5IOTest(const char * pszExtension, unsigned short Precision = 0)
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{
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unsigned int TestNum = 0;
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std::string filename;
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using TensorSingle = Eigen::TensorFixedSize<int, Eigen::Sizes<1>>;
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TensorWriteRead( TensorSingle )
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{
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int Flag = 7;
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unsigned short Precision = 0;
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using TensorSingle = Eigen::TensorFixedSize<int, Eigen::Sizes<1>>;
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TensorWriteRead( TensorSingle )
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}
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TestScalar Flag{1,-3.1415927};
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using TensorSimple = Eigen::Tensor<iMatrix<TestScalar,1>, 6>;
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TensorWriteReadV( TensorSimple, 1, 1, 1, 1, 1, 1 )
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TensorWriteReadV( TensorRank3, 6, 3, 2 )
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TensorWriteRead ( Tensor_9_4_2 )
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{
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unsigned short Flag = 1;
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unsigned short Precision = 0;
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TensorRank5UShort t;
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TensorWriteReadInner ( TensorRank5UShort );
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std::cout << " Testing alternate memory order read ... ";
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@ -193,7 +203,7 @@ void EigenHdf5IOTest(const char * pszExtension)
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}
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TensorWriteRead ( LSCTensor )
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TensorWriteReadLarge( PerambIOTestClass )
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#ifndef DEBUG
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#ifndef NO_STRESS_TESTS
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std::cout << "sizeof( LCMTensor ) = " << sizeof( LCMTensor ) / 1024 / 1024 << " MB" << std::endl;
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TensorWriteReadLarge ( LCMTensor )
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// Also write > 4GB of complex numbers (I suspect this will fail inside Hdf5)
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@ -285,22 +295,24 @@ int main(int argc,char **argv)
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ioTest<TextWriter, TextReader>("iotest.dat", obj, "text (object) ");
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ioTest<TextWriter, TextReader>("iotest.dat", vec, "text (vector of objects)");
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//// text
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ioTest<JSONWriter, JSONReader>("iotest.json", obj, "JSON (object) ");
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ioTest<JSONWriter, JSONReader>("iotest.json", vec, "JSON (vector of objects)");
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//ioTest<JSONWriter, JSONReader>("iotest.json", obj, "JSON (object) ");
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//ioTest<JSONWriter, JSONReader>("iotest.json", vec, "JSON (vector of objects)");
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//// HDF5
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#ifdef HAVE_HDF5
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ioTest<Hdf5Writer, Hdf5Reader>("iotest.h5", obj, "HDF5 (object) ");
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ioTest<Hdf5Writer, Hdf5Reader>("iotest.h5", vec, "HDF5 (vector of objects)");
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#endif
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std::cout << "\n==== detailed text tensor tests (Grid::EigenIO)" << std::endl;
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EigenHdf5IOTest<TextWriter, TextReader>(".dat", 6);
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std::cout << "\n==== detailed xml tensor tests (Grid::EigenIO)" << std::endl;
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EigenHdf5IOTest<XmlWriter, XmlReader>(".xml", 4);
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std::cout << "\n==== detailed binary tensor tests (Grid::EigenIO)" << std::endl;
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EigenHdf5IOTest<BinaryWriter, BinaryReader>(".bin");
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#ifdef HAVE_HDF5
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std::cout << "\n==== detailed Hdf5 tensor tests (Grid::EigenIO)" << std::endl;
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EigenHdf5IOTest<Hdf5Writer, Hdf5Reader>(".h5");
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#endif
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std::cout << "\n==== detailed binary tensor tests (Grid::EigenIO)" << std::endl;
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EigenHdf5IOTest<BinaryWriter, BinaryReader>(".bin");
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std::cout << "\n==== detailed text tensor tests (Grid::EigenIO)" << std::endl;
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EigenHdf5IOTest<TextWriter, TextReader>(".dat");
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std::cout << "\n==== detailed xml tensor tests (Grid::EigenIO)" << std::endl;
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EigenHdf5IOTest<XmlWriter, XmlReader>(".xml");
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std::cout << "\n==== vector flattening/reconstruction" << std::endl;
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typedef std::vector<std::vector<std::vector<double>>> vec3d;
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