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Chunking layout reasonably efficient. Looks for small prime factors of each dimension, falling back to approximate size if needed.

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This commit is contained in:
Michael Marshall
2019-02-25 11:07:29 +00:00
parent 44a2d4854a
commit 3c9f2d4106
2 changed files with 63 additions and 34 deletions
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19
tests/IO/Test_serialisation.cc
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@ -114,7 +114,7 @@ typedef Eigen::TensorFixedSize<TestScalar, Eigen::Sizes<9,4,2>, Eigen::StorageOp
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;
typedef Eigen::TensorFixedSize<iMatrix<iVector<iMatrix<iVector<LorentzColourMatrix,5>,2>,7>,3>, Eigen::Sizes<2,4,11,10,9>, Eigen::StorageOptions::RowMajor> LCMTensor;
#endif
class PerambIOTestClass: Serializable {
@ -132,9 +132,6 @@ public:
, Tensor_9_4_2, tensor_9_4_2
, aTensor_9_4_2, atensor_9_4_2
, LSCTensor, MyLSCTensor
#ifdef DEBUG
, LCMTensor, MyLCMTensor
#endif
);
PerambIOTestClass()
: DistilParameterNames {"alpha", "beta", "gamma", "delta", "epsilon", "zeta"}
@ -153,23 +150,19 @@ public:
for( auto &t : atensor_9_4_2 )
SequentialInit(t, Flag);
SequentialInit( MyLSCTensor );
#ifdef DEBUG
SequentialInit( MyLCMTensor );
#endif
}
};
#define RDR_ Hdf5Reader
#define WTR_ Hdf5Writer
#define TensorWriteReadInnerNoInit( T ) \
filename = "iotest_" + std::to_string(++TestNum) + "_" #T ".h5"; \
filename = "iotest_" + std::to_string(++TestNum) + "_" #T + pszExtension; \
ioTest<WTR_, RDR_, 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) }
void EigenHdf5IOTest(void)
template <typename WTR_, typename RDR_>
void EigenHdf5IOTest(const char * pszExtension)
{
unsigned int TestNum = 0;
std::string filename;
@ -300,8 +293,10 @@ int main(int argc,char **argv)
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;
EigenHdf5IOTest();
EigenHdf5IOTest<Hdf5Writer, Hdf5Reader>(".h5");
#endif
std::cout << "\n==== detailed binary tensor tests (Grid::EigenIO)" << std::endl;
EigenHdf5IOTest<BinaryWriter, BinaryReader>(".bin");
std::cout << "\n==== vector flattening/reconstruction" << std::endl;
typedef std::vector<std::vector<std::vector<double>>> vec3d;