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Fixed single-precision issues in Test_serialisation
This commit is contained in:
Michael Marshall
parent
a66bb8acba
commit
88cb004731
@ -30,6 +30,7 @@ Author: Michael Marshall <michael.marshall@ed.ac.uk>
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/* END LEGAL */
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#include <Grid/Grid.h>
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#include <Grid/util/EigenUtil.h>
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#include <typeinfo>
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using namespace Grid;
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using namespace Grid::QCD;
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@ -109,126 +110,148 @@ 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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typedef ComplexD 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<5,4,3,2,1>, 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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// Perform I/O tests on a range of tensor types
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// Test coverage: scalars, complex and GridVectors in single, double and default precision
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class TensorIO : public Serializable {
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using TestScalar = ComplexD;
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using SR3 = Eigen::Sizes<9,4,2>;
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using SR5 = Eigen::Sizes<5,4,3,2,1>;
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using ESO = Eigen::StorageOptions;
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using TensorRank3 = Eigen::Tensor<ComplexF, 3, ESO::RowMajor>;
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using TensorR5 = Eigen::TensorFixedSize<Real, SR5>;
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using TensorR5Alt = Eigen::TensorFixedSize<Real, SR5, ESO::RowMajor>;
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using Tensor942 = Eigen::TensorFixedSize<TestScalar, SR3, ESO::RowMajor>;
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using aTensor942 = std::vector<Tensor942>;
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using Perambulator = Eigen::Tensor<SpinColourVector, 6, ESO::RowMajor>;
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using LSCTensor = Eigen::TensorFixedSize<SpinColourMatrix, Eigen::Sizes<6,5>>;
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static const Real FlagR;
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static const Complex Flag;
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static const ComplexF FlagF;
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static const TestScalar FlagTS;
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static const char * const pszFilePrefix;
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class PerambIOTestClass: Serializable {
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ComplexD Flag;
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void Init(unsigned short Precision)
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{
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SequentialInit(Perambulator1, Flag, Precision);
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SequentialInit(Perambulator2, Flag, Precision);
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SequentialInit(tensorR5, FlagR, Precision);
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SequentialInit(tensorRank3, FlagF, Precision);
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SequentialInit(tensor_9_4_2, FlagTS, Precision);
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for( auto &t : atensor_9_4_2 )
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SequentialInit(t, FlagTS, Precision);
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SequentialInit(MyLSCTensor, Flag, Precision);
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}
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// Perform an I/O test for a single Eigen tensor (of any type)
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template <typename W, typename R, typename T, typename... IndexTypes>
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static void TestOne(const char * MyTypeName, unsigned short Precision, std::string &filename,
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const char * pszExtension, unsigned int &TestNum,
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typename EigenIO::Traits<T>::scalar_type Flag, IndexTypes... otherDims)
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{
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using Traits = EigenIO::Traits<T>;
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using scalar_type = typename Traits::scalar_type;
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std::unique_ptr<T> pTensor{new T(otherDims...)};
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SequentialInit( * pTensor, Flag, Precision );
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filename = pszFilePrefix + std::to_string(++TestNum) + "_" + MyTypeName + pszExtension;
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ioTest<W, R, T>(filename, * pTensor, MyTypeName, MyTypeName);
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}
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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, spinColourVector
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, SpinColourMatrix, spinColourMatrix
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GRID_SERIALIZABLE_CLASS_MEMBERS(TensorIO
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, SpinColourVector, spinColourVector
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, SpinColourMatrix, spinColourMatrix
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, std::vector<std::string>, DistilParameterNames
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, std::vector<int>, DistilParameterValues
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, PerambTensor, Perambulator
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, PerambTensor, Perambulator2
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, TensorRank5UShort, tensorRank5UShort
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, Perambulator, Perambulator1
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, Perambulator, Perambulator2
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, TensorR5, tensorR5
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, TensorRank3, tensorRank3
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, Tensor_9_4_2, tensor_9_4_2
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, aTensor_9_4_2, atensor_9_4_2
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, Tensor942, tensor_9_4_2
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, aTensor942, atensor_9_4_2
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, LSCTensor, MyLSCTensor
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);
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PerambIOTestClass()
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TensorIO()
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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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, Perambulator1(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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, atensor_9_4_2(3) {}
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#define TEST_PARAMS( T ) #T, Precision, filename, pszExtension, TestNum
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// Perform a series of I/O tests for Eigen tensors, including a serialisable object
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template <typename WTR_, typename RDR_>
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static void Test(const char * pszExtension, unsigned short Precision = 0)
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{
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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, Flag );
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// Perform a series of tests on progressively more complex tensors
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unsigned int TestNum = 0;
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std::string filename;
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// Rank 1 tensor containing a single integer
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using TensorSingle = Eigen::TensorFixedSize<Integer, Eigen::Sizes<1>>;
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TestOne<WTR_, RDR_, TensorSingle>( TEST_PARAMS( TensorSingle ), 7 ); // lucky!
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// Rather convoluted way of defining a single complex number
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using TensorSimple = Eigen::Tensor<iMatrix<TestScalar,1>, 6>;
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using I = typename TensorSimple::Index; // NB: Never specified, so same for all my test tensors
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// Try progressively more complicated tensors
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TestOne<WTR_, RDR_, TensorSimple, I,I,I,I,I,I>( TEST_PARAMS( TensorSimple ), FlagTS, 1,1,1,1,1,1 );
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TestOne<WTR_, RDR_, TensorRank3, I, I, I>( TEST_PARAMS( TensorRank3 ), FlagF, 6, 3, 2 );
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TestOne<WTR_, RDR_, Tensor942>(TEST_PARAMS( Tensor942 ), FlagTS);
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TestOne<WTR_, RDR_, LSCTensor>(TEST_PARAMS( LSCTensor ), Flag );
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// Now see whether we can write a tensor in one memory order and read back in the other
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{
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TestOne<WTR_, RDR_, TensorR5>(TEST_PARAMS( TensorR5 ), FlagR);
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std::cout << " Testing alternate memory order read ... ";
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TensorR5Alt t2;
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RDR_ reader(filename);
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::Grid::read(reader, "TensorR5", t2);
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bool good = true;
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TensorR5 cf;
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SequentialInit( cf, FlagR, Precision );
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for_all( t2, [&](typename EigenIO::Traits<TensorR5Alt>::scalar_type c, I n,
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const std::array<I, TensorR5Alt::NumIndices> &TensorIndex,
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const std::array<int, EigenIO::Traits<TensorR5Alt>::Rank> &GridTensorIndex ){
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Real &r = cf(TensorIndex);
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if( c != r ){
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good = false;
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std::cout << "\nError: " << n << ": " << c << " != " << r;
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}
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} );
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if (!good) {
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std::cout << std::endl;
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dump_tensor(t2,"t2");
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exit(EXIT_FAILURE);
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}
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std::cout << " done." << std::endl;
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}
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// Now test a serialisable object containing a number of tensors
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{
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static const char MyTypeName[] = "TensorIO";
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filename = pszFilePrefix + std::to_string(++TestNum) + "_" + MyTypeName + pszExtension;
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std::unique_ptr<TensorIO> pObj{new TensorIO()};
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pObj->Init(Precision);
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ioTest<WTR_, RDR_, TensorIO>(filename, * pObj, MyTypeName, MyTypeName, Precision);
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}
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// Stress test. Too large for the XML or text readers and writers!
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#ifdef STRESS_TEST
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const std::type_info &tw = typeid( WTR_ );
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if( tw == typeid( Hdf5Writer ) || tw == typeid( BinaryWriter ) ) {
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using LCMTensor=Eigen::TensorFixedSize<iMatrix<iVector<iMatrix<iVector<LorentzColourMatrix,5>,2>,7>,3>,
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Eigen::Sizes<2,4,11,10,9>, Eigen::StorageOptions::RowMajor>;
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std::cout << "sizeof( LCMTensor ) = " << sizeof( LCMTensor ) / 1024 / 1024 << " MB" << std::endl;
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TestOne<WTR_, RDR_, LCMTensor>(TEST_PARAMS( LCMTensor ), Flag);
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}
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#endif
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}
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};
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#define TEST_PARAMS( T ) #T, Flag, Precision, filename, pszExtension, TestNum
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// Perform an I/O test for a single Eigen tensor (of any type)
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template <typename WTR_, typename RDR_, typename T, typename... IndexTypes>
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void EigenTensorTestSingle(const char * MyTypeName, typename EigenIO::Traits<T>::scalar_type Flag,
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unsigned short Precision, std::string &filename, const char * pszExtension,
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unsigned int &TestNum, IndexTypes... otherDims)
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{
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using Traits = EigenIO::Traits<T>;
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using scalar_type = typename Traits::scalar_type;
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std::unique_ptr<T> pTensor{new T(otherDims...)};
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SequentialInit( * pTensor, Flag, Precision );
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filename = "iotest_" + std::to_string(++TestNum) + "_" + MyTypeName + pszExtension;
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ioTest<WTR_, RDR_, T>(filename, * pTensor, MyTypeName, MyTypeName);
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}
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// Perform a series of I/O tests for Eigen tensors, including a serialisable object
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template <typename WTR_, typename RDR_>
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void EigenTensorTest(const char * pszExtension, unsigned short Precision = 0)
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{
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// Perform a series of tests on progressively more complex tensors
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unsigned int TestNum = 0;
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std::string filename;
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{
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int Flag = 7;
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using TensorSingle = Eigen::TensorFixedSize<Integer, Eigen::Sizes<1>>;
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EigenTensorTestSingle<WTR_, RDR_, TensorSingle>(TEST_PARAMS( 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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using I = typename TensorSimple::Index;
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EigenTensorTestSingle<WTR_, RDR_, TensorSimple, I, I, I, I, I, I>( TEST_PARAMS( TensorSimple ), 1, 1, 1, 1, 1, 1 );
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EigenTensorTestSingle<WTR_, RDR_, TensorRank3, I, I, I>( TEST_PARAMS( TensorRank3 ), 6, 3, 2 );
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EigenTensorTestSingle<WTR_, RDR_, Tensor_9_4_2>(TEST_PARAMS( Tensor_9_4_2 ));
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EigenTensorTestSingle<WTR_, RDR_, LSCTensor>(TEST_PARAMS( LSCTensor ));
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// Now see whether we could write out a tensor in one memory order and read back in the other
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{
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unsigned short Flag = 1;
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EigenTensorTestSingle<WTR_, RDR_, TensorRank5UShort>(TEST_PARAMS( TensorRank5UShort ));
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std::cout << " Testing alternate memory order read ... ";
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TensorRank5UShortAlt t2;
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RDR_ reader(filename);
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read(reader, "TensorRank5UShort", t2);
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bool good = true;
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using Index = typename TensorRank5UShortAlt::Index;
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// NB: I can't call
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for_all( t2, [&](unsigned short c, Index n,
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const std::array<Index, TensorRank5UShortAlt::NumIndices> &TensorIndex,
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const std::array<int, EigenIO::Traits<TensorRank5UShortAlt>::Rank> &GridTensorIndex ){
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good = good && ( c == n );
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} );
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if (!good) {
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std::cout << " failure!" << std::endl;
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dump_tensor(t2,"t2");
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exit(EXIT_FAILURE);
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}
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std::cout << " done." << std::endl;
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}
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// Now test a serialisable object containing a number of tensors
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{
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static const char MyTypeName[] = "PerambIOTestClass";
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std::unique_ptr<PerambIOTestClass> pObj{new PerambIOTestClass()};
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filename = "iotest_" + std::to_string(++TestNum) + "_" + MyTypeName + pszExtension;
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ioTest<WTR_, RDR_, PerambIOTestClass>(filename, * pObj, MyTypeName, MyTypeName);
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}
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// Stress test. Too large for the XML or text readers and writers!
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#ifdef STRESS_TEST
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if( typeid( WTR_ ).name() == typeid( Hdf5Writer ).name() || typeid( WTR_ ).name() == typeid( BinaryWriter ).name() ) {
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using LCMTensor=Eigen::TensorFixedSize<iMatrix<iVector<iMatrix<iVector<LorentzColourMatrix,5>,2>,7>,3>,
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Eigen::Sizes<2,4,11,10,9>, Eigen::StorageOptions::RowMajor>;
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std::cout << "sizeof( LCMTensor ) = " << sizeof( LCMTensor ) / 1024 / 1024 << " MB" << std::endl;
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EigenTensorTestSingle<WTR_, RDR_, LCMTensor>(TEST_PARAMS( LCMTensor ));
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}
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#endif
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}
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const Real TensorIO::FlagR {-1.001};
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const Complex TensorIO::Flag {1,-3.1415927};
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const ComplexF TensorIO::FlagF {1,-3.1415927};
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const TensorIO::TestScalar TensorIO::FlagTS{1,-3.1415927};
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const char * const TensorIO::pszFilePrefix = "tensor_";
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template <typename T>
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void tensorConvTestFn(GridSerialRNG &rng, const std::string label)
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@ -314,14 +337,14 @@ int main(int argc,char **argv)
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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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EigenTensorTest<Hdf5Writer, Hdf5Reader>(".h5");
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TensorIO::Test<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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EigenTensorTest<BinaryWriter, BinaryReader>(".bin");
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TensorIO::Test<BinaryWriter, BinaryReader>(".bin");
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std::cout << "\n==== detailed xml tensor tests (Grid::EigenIO)" << std::endl;
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EigenTensorTest<XmlWriter, XmlReader>(".xml", 6);
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TensorIO::Test<XmlWriter, XmlReader>(".xml", 6);
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std::cout << "\n==== detailed text tensor tests (Grid::EigenIO)" << std::endl;
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EigenTensorTest<TextWriter, TextReader>(".dat", 5);
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TensorIO::Test<TextWriter, TextReader>(".dat", 5);
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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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