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Rationalised Test_serialisation
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07c97cb424
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@ -230,6 +230,24 @@ namespace Grid {
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}
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}
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// Used for sequential initialisations
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template<typename T> constexpr T Flag = 1;
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template<typename T> constexpr std::complex<T> Flag<std::complex<T>> {1, -1};
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// Returns the type of the real part of an arithmetic type
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template<typename T> struct RealType { using type = T; };
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template<typename T> struct RealType<std::complex<T>> { using type = T; };
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template <typename ETensor>
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typename std::enable_if<EigenIO::is_tensor<ETensor>::value, void>::type
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Sequential_Init( ETensor &ET, typename EigenIO::Traits<typename ETensor::Scalar>::scalar_type Inc = Flag<typename EigenIO::Traits<typename ETensor::Scalar>::scalar_type> )
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{
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using Traits = EigenIO::Traits<typename ETensor::Scalar>;
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using scalar_type = typename Traits::scalar_type;
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for_all( ET, [&](scalar_type &c, typename ETensor::Index n, const std::array<size_t, ETensor::NumIndices + Traits::rank_non_trivial> &Dims ) {
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c = Inc * static_cast<typename RealType<scalar_type>::type>(n);
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} );
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}
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// Helper to dump a tensor
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#ifdef DEBUG
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#define dump_tensor(args...) dump_tensor_func(args)
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@ -774,7 +792,7 @@ namespace Grid {
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typename std::enable_if<EigenIO::is_tensor_fixed<ETensor>::value, void>::type
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Reader<T>::Reshape(ETensor &t, const std::array<typename ETensor::Index, ETensor::NumDimensions> &dims )
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{
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//assert( 0 && "EigenIO: Fixed tensor dimensions can't be changed" );
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assert( 0 && "EigenIO: Fixed tensor dimensions can't be changed" );
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}
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template <typename T>
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@ -105,7 +105,8 @@ void ioTest(const std::string &filename, const O &object, const std::string &nam
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std::cout << " done." << std::endl;
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}
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#ifdef DEBUG
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#ifdef HAVE_HDF5
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typedef Eigen::Tensor<int, 5> ShortRank5Tensor;
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//typedef int TestScalar;
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typedef std::complex<double> TestScalar;
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typedef Eigen::Tensor<TestScalar, 3, Eigen::StorageOptions::RowMajor> TestTensor;
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@ -118,24 +119,32 @@ class PerambIOTestClass: Serializable {
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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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//, SpinColourVector, scv
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//, SpinColourMatrix, scm
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, ShortRank5Tensor, shortRank5Tensor
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, PerambTensor, Perambulator
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, std::vector<std::string>, DistilParameterNames
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, std::vector<int>, DistilParameterValues
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, PerambTensor, Perambulator2
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, SpinColourVector, scv
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, SpinColourMatrix, scm
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//, TestTensor, Critter
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//, TestTensorFixed, FixedCritter
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//, aTestTensorFixed, aFixedCritter
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//, LSCTensor, MyLSCTensor
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//, LCMTensor, MyLCMTensor
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);
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PerambIOTestClass() : Perambulator(2,3,1,4,5,1),
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PerambIOTestClass() : Perambulator(2,3,1,4,5,1), Perambulator2(7,1,6,1,5,1),
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DistilParameterNames {"alpha", "beta", "gamma", "delta", "epsilon", "what's f?"},
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DistilParameterValues{2,3,1,4,5,1}//, Critter(7,3,2), aFixedCritter(3)
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{}
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DistilParameterValues{2,3,1,4,5,1}
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, shortRank5Tensor{5,4,3,2,1}
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//, Critter(7,3,2)//, aFixedCritter(3)
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{
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Sequential_Init(Perambulator);
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Sequential_Init(Perambulator2, {-3.1415927,7});
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Sequential_Init(shortRank5Tensor);
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}
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};
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bool EigenIOTest(void) {
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void EigenHdf5IOTest(void) {
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SpinColourVector scv, scv2;
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scv2 = scv;
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ioTest<Hdf5Writer, Hdf5Reader, SpinColourVector>("iotest_vector.h5", scv, "SpinColourVector");
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@ -182,11 +191,8 @@ bool EigenIOTest(void) {
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//dump_tensor(tf, "tf");
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PerambIOTestClass o;
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for_all( o.Perambulator, [&](TestScalar &c, float f, const std::array<size_t,PerambIOTestClass::PerambTensor::NumIndices + EigenIO::Traits<SpinColourVector>::rank_non_trivial> &Dims ){
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c = TestScalar{f,-f};
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//std::cout << " a(" << Dims[0] << "," << Dims[1] << "," << Dims[2] << ")=" << c;
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} );
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dump_tensor(o.Perambulator, "PerambIOTestClass" );
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//dump_tensor(o.Perambulator, "Perambulator" );
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dump_tensor(o.shortRank5Tensor, "shortRank5Tensor");
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/*for_all( o.FixedCritter, [&](TestScalar &c, float f, const std::array<size_t,TestTensorFixed::NumIndices> &Dims ){
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c = TestScalar{f,-f};
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//std::cout << " a(" << Dims[0] << "," << Dims[1] << "," << Dims[2] << ")=" << c;
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@ -229,10 +235,6 @@ bool EigenIOTest(void) {
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}
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ioTest<Hdf5Writer, Hdf5Reader, LCMTensor>("iotest_LCMTensor.h5", l2, "LCMTensor_object_instance_name");
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//dump_tensor(l2, "l2");
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std::cout << "Wow!" << std::endl;
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return true;
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}
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#endif
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@ -259,7 +261,6 @@ int main(int argc,char **argv)
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Grid_init(&argc,&argv);
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std::cout << std::boolalpha << "==== basic IO" << std::endl; // display true / false for boolean
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#ifndef DEBUG
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GridSerialRNG rng;
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rng.SeedFixedIntegers(std::vector<int>({42,10,81,9}));
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@ -283,7 +284,6 @@ int main(int argc,char **argv)
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// test serializable class writing
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myclass obj(1234); // non-trivial constructor
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std::vector<myclass> vec;
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std::pair<myenum, myenum> pair;
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std::cout << "-- serialisable class writing to 'bother.xml'..." << std::endl;
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write(WR,"obj",obj);
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@ -291,7 +291,6 @@ int main(int argc,char **argv)
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vec.push_back(obj);
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vec.push_back(myclass(5678));
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vec.push_back(myclass(3838));
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pair = std::make_pair(myenum::red, myenum::blue);
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write(WR, "objvec", vec);
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std::cout << "-- serialisable class writing to std::cout:" << std::endl;
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@ -300,6 +299,7 @@ int main(int argc,char **argv)
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std::cout << "vec[0] == obj: " << (vec[0] == obj) << std::endl;
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std::cout << "vec[1] == obj: " << (vec[1] == obj) << std::endl;
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std::cout << "-- pair writing to std::cout:" << std::endl;
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std::pair<myenum, myenum> pair = std::make_pair(myenum::red, myenum::blue);
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std::cout << pair << std::endl;
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// read tests
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@ -321,6 +321,8 @@ int main(int argc,char **argv)
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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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std::cout << "\n==== detailed Hdf5 tensor tests (Grid::EigenIO)" << std::endl;
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EigenHdf5IOTest();
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#endif
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std::cout << "\n==== vector flattening/reconstruction" << std::endl;
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@ -364,8 +366,6 @@ int main(int argc,char **argv)
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tensorConvTest(rng, ColourVector);
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tensorConvTest(rng, SpinMatrix);
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tensorConvTest(rng, SpinVector);
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#elif HAVE_HDF5
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if(! EigenIOTest() ) exit(EXIT_FAILURE);
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#endif
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Grid_finalize();
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}
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