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Switched to Hdf5 format for perambulators. Ready for first test on Tesseract.

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This commit is contained in:
Michael Marshall
2019-04-28 17:53:42 +01:00
parent 5aca4e8670
commit adc1eaee68
5 changed files with 179 additions and 63 deletions
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154
Hadrons/Distil.hpp
View File

@ -258,34 +258,83 @@ inline GridCartesian * MakeLowerDimGrid( GridCartesian * gridHD )
******************************************************************************/ ******************************************************************************/
template<typename Scalar_, int NumIndices_, uint16_t Endian_Scalar_Size = sizeof(Scalar_)> template<typename Scalar_, int NumIndices_, uint16_t Endian_Scalar_Size_ = sizeof(Scalar_)>
class NamedTensor : public Eigen::Tensor<Scalar_, NumIndices_, Eigen::RowMajor> class NamedTensor : Serializable
{ {
public: public:
typedef Eigen::Tensor<Scalar_, NumIndices_, Eigen::RowMajor> ET; using Scalar = Scalar_;
std::array<std::string,NumIndices_> IndexNames; static constexpr int NumIndices = NumIndices_;
static constexpr uint16_t Endian_Scalar_Size = Endian_Scalar_Size_;
using ET = Eigen::Tensor<Scalar_, NumIndices_, Eigen::RowMajor>;
using Index = typename ET::Index;
GRID_SERIALIZABLE_CLASS_MEMBERS(NamedTensor
, ET, tensor
, std::vector<std::string>, IndexNames
);
public: public:
// Named tensors are intended to be a superset of Eigen tensor
inline operator ET&() const { return tensor; }
template<typename... IndexTypes> template<typename... IndexTypes>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE NamedTensor(std::array<std::string,NumIndices_> &IndexNames_, Eigen::Index firstDimension, IndexTypes... otherDimensions) inline const Scalar_& operator()(const std::array<Eigen::Index, NumIndices_> &Indices) const
: IndexNames{IndexNames_}, ET(firstDimension, otherDimensions...) { return tensor.operator()(Indices); }
inline Scalar_& operator()(const std::array<Eigen::Index, NumIndices_> &Indices)
{ return tensor.operator()(Indices); }
template<typename... IndexTypes>
inline const Scalar_& operator()(Eigen::Index firstDimension, IndexTypes... otherDimensions) const
{ {
// The number of dimensions used to construct a tensor must be equal to the rank of the tensor. // The number of indices used to access a tensor coefficient must be equal to the rank of the tensor.
assert(sizeof...(otherDimensions) + 1 == NumIndices_ assert(sizeof...(otherDimensions) + 1 == NumIndices_ && "NamedTensor: dimensions != tensor rank");
&& "NamedTensor error: dimensions in constructor != tensor rank"); return tensor.operator()(std::array<Eigen::Index, NumIndices_>{{firstDimension, otherDimensions...}});
}
template<typename... IndexTypes>
inline Scalar_& operator()(Eigen::Index firstDimension, IndexTypes... otherDimensions)
{
// The number of indices used to access a tensor coefficient must be equal to the rank of the tensor.
assert(sizeof...(otherDimensions) + 1 == NumIndices_ && "NamedTensor: dimensions != tensor rank");
return tensor.operator()(std::array<Eigen::Index, NumIndices_>{{firstDimension, otherDimensions...}});
} }
// Construct a named tensor explicitly specifying size of each dimension
template<typename... IndexTypes>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE NamedTensor(std::array<std::string,NumIndices_> &IndexNames_, Eigen::Index firstDimension, IndexTypes... otherDimensions)
: tensor(firstDimension, otherDimensions...), IndexNames{NumIndices}
{
// The number of dimensions used to construct a tensor must be equal to the rank of the tensor.
assert(sizeof...(otherDimensions) + 1 == NumIndices_ && "NamedTensor: dimensions != tensor rank");
for( int i = 0; i < NumIndices_; i++ )
IndexNames[i] = IndexNames_[i];
}
// Default constructor (assumes tensor will be loaded from file)
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE NamedTensor() : IndexNames{NumIndices_} {}
// Construct a named tensor without specifying size of each dimension (because it will be loaded from file)
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE NamedTensor(std::array<std::string,NumIndices_> &IndexNames_)
: IndexNames{NumIndices_}
{
for( int i = 0; i < NumIndices_; i++ )
IndexNames[i] = IndexNames_[i];
}
// Share data for timeslices we calculated with other nodes // Share data for timeslices we calculated with other nodes
inline void SliceShare( GridCartesian * gridLowDim, GridCartesian * gridHighDim ) { inline void SliceShare( GridCartesian * gridLowDim, GridCartesian * gridHighDim ) {
Grid::SliceShare( gridLowDim, gridHighDim, this->data(), (int) (this->size() * sizeof(Scalar_))); Grid::SliceShare( gridLowDim, gridHighDim, tensor.data(), (int) (tensor.size() * sizeof(Scalar_)));
} }
// load and save - not virtual - probably all changes // load and save - not virtual - probably all changes
inline void load(const std::string filename); template<typename Reader> inline void read (Reader &r, const char * pszTag = nullptr);
inline void save(const std::string filename) const; template<typename Writer> inline void write(Writer &w, const char * pszTag = nullptr) const;
inline void ReadBinary(const std::string filename); template<typename Reader> inline void read (const char * filename, const char * pszTag = nullptr);
inline void WriteBinary(const std::string filename); template<typename Writer> inline void write(const char * filename, const char * pszTag = nullptr) const;
EIGEN_DEPRECATED inline void ReadBinary (const std::string filename); // To be removed
EIGEN_DEPRECATED inline void WriteBinary(const std::string filename); // To be removed
}; };
// Is this a named tensor
template<typename T, typename V = void> struct is_named_tensor : public std::false_type {};
template<typename Scalar_, int NumIndices_, uint16_t Endian_Scalar_Size_> struct is_named_tensor<NamedTensor<Scalar_, NumIndices_, Endian_Scalar_Size_>> : public std::true_type {};
template<typename T> struct is_named_tensor<T, typename std::enable_if<std::is_base_of<NamedTensor<typename T::Scalar, T::NumIndices, T::Endian_Scalar_Size_>, T>::value>::type> : public std::true_type {};
/****************************************************************************** /******************************************************************************
Save NamedTensor binary format (NB: On-disk format is Big Endian) Save NamedTensor binary format (NB: On-disk format is Big Endian)
Assumes the Scalar_ objects are contiguous (no padding) Assumes the Scalar_ objects are contiguous (no padding)
@ -301,7 +350,7 @@ void NamedTensor<Scalar_, NumIndices_, Endian_Scalar_Size>::WriteBinary(const st
assert((sizeof(Scalar_) % Endian_Scalar_Size) == 0 && "NamedTensor error: Scalar_ is not composed of Endian_Scalar_Size" ); assert((sizeof(Scalar_) % Endian_Scalar_Size) == 0 && "NamedTensor error: Scalar_ is not composed of Endian_Scalar_Size" );
// Size of the data (in bytes) // Size of the data (in bytes)
const uint32_t Scalar_Size{sizeof(Scalar_)}; const uint32_t Scalar_Size{sizeof(Scalar_)};
const auto NumElements{this->size()}; const auto NumElements{tensor.size()};
const std::streamsize TotalDataSize{static_cast<std::streamsize>(NumElements * Scalar_Size)}; const std::streamsize TotalDataSize{static_cast<std::streamsize>(NumElements * Scalar_Size)};
uint64_t u64 = htobe64(static_cast<uint64_t>(TotalDataSize)); uint64_t u64 = htobe64(static_cast<uint64_t>(TotalDataSize));
w.write(reinterpret_cast<const char *>(&u64), sizeof(u64)); w.write(reinterpret_cast<const char *>(&u64), sizeof(u64));
@ -313,14 +362,14 @@ void NamedTensor<Scalar_, NumIndices_, Endian_Scalar_Size>::WriteBinary(const st
w.write(reinterpret_cast<const char *>(&u16), sizeof(u16)); w.write(reinterpret_cast<const char *>(&u16), sizeof(u16));
// number of dimensions which aren't 1 // number of dimensions which aren't 1
u16 = static_cast<uint16_t>(this->NumIndices); u16 = static_cast<uint16_t>(this->NumIndices);
for( auto dim : this->dimensions() ) for( auto dim : tensor.dimensions() )
if( dim == 1 ) if( dim == 1 )
u16--; u16--;
u16 = htobe16( u16 ); u16 = htobe16( u16 );
w.write(reinterpret_cast<const char *>(&u16), sizeof(u16)); w.write(reinterpret_cast<const char *>(&u16), sizeof(u16));
// dimensions together with names // dimensions together with names
int d = 0; int d = 0;
for( auto dim : this->dimensions() ) { for( auto dim : tensor.dimensions() ) {
if( dim != 1 ) { if( dim != 1 ) {
// size of this dimension // size of this dimension
u16 = htobe16( static_cast<uint16_t>( dim ) ); u16 = htobe16( static_cast<uint16_t>( dim ) );
@ -334,7 +383,7 @@ void NamedTensor<Scalar_, NumIndices_, Endian_Scalar_Size>::WriteBinary(const st
d++; d++;
} }
// Actual data // Actual data
char * const pStart{reinterpret_cast<char *>(this->data())}; char * const pStart{reinterpret_cast<char *>(tensor.data())};
// Swap to network byte order in place (alternative is to copy memory - still slow) // Swap to network byte order in place (alternative is to copy memory - still slow)
void * const pEnd{pStart + TotalDataSize}; void * const pEnd{pStart + TotalDataSize};
if(Endian_Scalar_Size == 8) if(Endian_Scalar_Size == 8)
@ -359,9 +408,9 @@ void NamedTensor<Scalar_, NumIndices_, Endian_Scalar_Size>::WriteBinary(const st
* p = be16toh( * p ); * p = be16toh( * p );
// checksum // checksum
#ifdef USE_IPP #ifdef USE_IPP
u32 = htobe32(GridChecksum::crc32c(this->data(), TotalDataSize)); u32 = htobe32(GridChecksum::crc32c(tensor.data(), TotalDataSize));
#else #else
u32 = htobe32(GridChecksum::crc32(this->data(), TotalDataSize)); u32 = htobe32(GridChecksum::crc32(tensor.data(), TotalDataSize));
#endif #endif
w.write(reinterpret_cast<const char *>(&u32), sizeof(u32)); w.write(reinterpret_cast<const char *>(&u32), sizeof(u32));
} }
@ -381,7 +430,7 @@ void NamedTensor<Scalar_, NumIndices_, Endian_Scalar_Size>::ReadBinary(const std
assert((sizeof(Scalar_) % Endian_Scalar_Size) == 0 && "NamedTensor error: Scalar_ is not composed of Endian_Scalar_Size" ); assert((sizeof(Scalar_) % Endian_Scalar_Size) == 0 && "NamedTensor error: Scalar_ is not composed of Endian_Scalar_Size" );
// Size of the data in bytes // Size of the data in bytes
const uint32_t Scalar_Size{sizeof(Scalar_)}; const uint32_t Scalar_Size{sizeof(Scalar_)};
const auto NumElements{this->size()}; const auto NumElements{tensor.size()};
const std::streamsize TotalDataSize{static_cast<std::streamsize>(NumElements * Scalar_Size)}; const std::streamsize TotalDataSize{static_cast<std::streamsize>(NumElements * Scalar_Size)};
uint64_t u64; uint64_t u64;
r.read(reinterpret_cast<char *>(&u64), sizeof(u64)); r.read(reinterpret_cast<char *>(&u64), sizeof(u64));
@ -397,13 +446,13 @@ void NamedTensor<Scalar_, NumIndices_, Endian_Scalar_Size>::ReadBinary(const std
// number of dimensions which aren't 1 // number of dimensions which aren't 1
r.read(reinterpret_cast<char *>(&u16), sizeof(u16)); r.read(reinterpret_cast<char *>(&u16), sizeof(u16));
u16 = be16toh( u16 ); u16 = be16toh( u16 );
for( auto dim : this->dimensions() ) for( auto dim : tensor.dimensions() )
if( dim == 1 ) if( dim == 1 )
u16++; u16++;
assert( this->NumIndices == u16 && "NamedTensor error: number of dimensions which aren't 1" ); assert( this->NumIndices == u16 && "NamedTensor error: number of dimensions which aren't 1" );
// dimensions together with names // dimensions together with names
int d = 0; int d = 0;
for( auto dim : this->dimensions() ) { for( auto dim : tensor.dimensions() ) {
if( dim != 1 ) { if( dim != 1 ) {
// size of dimension // size of dimension
r.read(reinterpret_cast<char *>(&u16), sizeof(u16)); r.read(reinterpret_cast<char *>(&u16), sizeof(u16));
@ -420,7 +469,7 @@ void NamedTensor<Scalar_, NumIndices_, Endian_Scalar_Size>::ReadBinary(const std
d++; d++;
} }
// Actual data // Actual data
char * const pStart{reinterpret_cast<char *>(this->data())}; char * const pStart{reinterpret_cast<char *>(tensor.data())};
void * const pEnd{pStart + TotalDataSize}; void * const pEnd{pStart + TotalDataSize};
r.read(pStart,TotalDataSize); r.read(pStart,TotalDataSize);
// Swap back from network byte order // Swap back from network byte order
@ -437,44 +486,59 @@ void NamedTensor<Scalar_, NumIndices_, Endian_Scalar_Size>::ReadBinary(const std
r.read(reinterpret_cast<char *>(&u32), sizeof(u32)); r.read(reinterpret_cast<char *>(&u32), sizeof(u32));
u32 = be32toh( u32 ); u32 = be32toh( u32 );
#ifdef USE_IPP #ifdef USE_IPP
u32 -= GridChecksum::crc32c(this->data(), TotalDataSize); u32 -= GridChecksum::crc32c(tensor.data(), TotalDataSize);
#else #else
u32 -= GridChecksum::crc32(this->data(), TotalDataSize); u32 -= GridChecksum::crc32(tensor.data(), TotalDataSize);
#endif #endif
assert( u32 == 0 && "NamedTensor error: Perambulator checksum invalid"); assert( u32 == 0 && "NamedTensor error: Perambulator checksum invalid");
} }
/****************************************************************************** /******************************************************************************
Save NamedTensor Hdf5 format Write NamedTensor
******************************************************************************/ ******************************************************************************/
template<typename Scalar_, int NumIndices_, uint16_t Endian_Scalar_Size> template<typename Scalar_, int NumIndices_, uint16_t Endian_Scalar_Size>
void NamedTensor<Scalar_, NumIndices_, Endian_Scalar_Size>::save(const std::string filename) const { template<typename Writer>
void NamedTensor<Scalar_, NumIndices_, Endian_Scalar_Size>::write(Writer &w, const char * pszTag)const{
if( pszTag == nullptr )
pszTag = "tensor";
write(w, pszTag, *this);
}
template<typename Scalar_, int NumIndices_, uint16_t Endian_Scalar_Size>
template<typename Writer>
void NamedTensor<Scalar_, NumIndices_, Endian_Scalar_Size>::write(const char * filename, const char * pszTag)const{
LOG(Message) << "Writing NamedTensor to \"" << filename << "\"" << std::endl; LOG(Message) << "Writing NamedTensor to \"" << filename << "\"" << std::endl;
#ifndef HAVE_HDF5 Writer w(filename);
LOG(Message) << "Error: I/O for NamedTensor requires HDF5" << std::endl; write(w, pszTag);
#else
Hdf5Writer w(filename);
//w << this->NumIndices << this->dimensions() << this->IndexNames;
#endif
} }
/****************************************************************************** /******************************************************************************
Load NamedTensor Hdf5 format Read NamedTensor
******************************************************************************/ ******************************************************************************/
template<typename Scalar_, int NumIndices_, uint16_t Endian_Scalar_Size> template<typename Scalar_, int NumIndices_, uint16_t Endian_Scalar_Size>
void NamedTensor<Scalar_, NumIndices_, Endian_Scalar_Size>::load(const std::string filename) { template<typename Reader>
void NamedTensor<Scalar_, NumIndices_, Endian_Scalar_Size>::read(Reader &r, const char * pszTag) {
// Grab index names and dimensions
if( pszTag == nullptr )
pszTag = "tensor";
std::vector<std::string> OldIndexNames{std::move(IndexNames)};
typename ET::Dimensions OldDimensions{tensor.dimensions()};
read(r, pszTag, *this);
const typename ET::Dimensions & NewDimensions{tensor.dimensions()};
for( int i=0; i < NumIndices_; i++ ) {
assert(OldDimensions[i] == 0 || OldDimensions[i] == NewDimensions[i] && "NamedTensor::load dimension size");
assert(OldIndexNames[i].size() == 0 || OldIndexNames[i] == IndexNames[i] && "NamedTensor::load dimension name");
}
}
template<typename Scalar_, int NumIndices_, uint16_t Endian_Scalar_Size>
template<typename Reader>
void NamedTensor<Scalar_, NumIndices_, Endian_Scalar_Size>::read(const char * filename, const char * pszTag) {
LOG(Message) << "Reading NamedTensor from \"" << filename << "\"" << std::endl; LOG(Message) << "Reading NamedTensor from \"" << filename << "\"" << std::endl;
#ifndef HAVE_HDF5 Reader r(filename);
LOG(Message) << "Error: I/O for NamedTensor requires HDF5" << std::endl; read(r, pszTag);
#else
Hdf5Reader r(filename);
typename ET::Dimensions d;
std::array<std::string,NumIndices_> n;
//r >> this->NumIndices >> d >> n;
//this->IndexNames = n;
#endif
} }
/****************************************************************************** /******************************************************************************

8
Hadrons/Modules/MDistil/PerambFromSolve.hpp
View File

@ -238,9 +238,11 @@ void TPerambFromSolve<FImpl>::execute(void)
} }
} }
if(PerambFileName.length()) if(PerambFileName.length()) {
perambulator.WriteBinary(PerambFileName + "." + std::to_string(vm().getTrajectory())); std::string sPerambName{PerambFileName + "." + std::to_string(vm().getTrajectory())};
//perambulator.WriteBinary(sPerambName);
perambulator.template write<Hdf5Writer>((sPerambName + ".h5").c_str(), sPerambName.c_str());
}
} }
END_MODULE_NAMESPACE END_MODULE_NAMESPACE

7
Hadrons/Modules/MDistil/Perambulator.hpp
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@ -286,8 +286,11 @@ void TPerambulator<FImpl>::execute(void)
std::cout << "perambulator done" << std::endl; std::cout << "perambulator done" << std::endl;
perambulator.SliceShare( grid3d, grid4d ); perambulator.SliceShare( grid3d, grid4d );
if(PerambFileName.length()) if(PerambFileName.length()) {
perambulator.WriteBinary(PerambFileName + "." + std::to_string(vm().getTrajectory())); std::string sPerambName{PerambFileName + "." + std::to_string(vm().getTrajectory())};
//perambulator.WriteBinary(sPerambName);
perambulator.template write<Hdf5Writer>((sPerambName + ".h5").c_str(), sPerambName.c_str());
}
} }
END_MODULE_NAMESPACE END_MODULE_NAMESPACE

12
Hadrons/Modules/MIO/LoadPerambulator.hpp
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@ -118,13 +118,11 @@ void TLoadPerambulator<FImpl>::setup(void)
template <typename FImpl> template <typename FImpl>
void TLoadPerambulator<FImpl>::execute(void) void TLoadPerambulator<FImpl>::execute(void)
{ {
auto &perambulator = envGet(MDistil::Perambulator<SpinVector COMMA 6 COMMA sizeof(Real)>, auto &perambulator = envGet(MDistil::Perambulator<SpinVector COMMA 6 COMMA sizeof(Real)>, getName());
getName()); const std::string sPerambName{par().PerambFileName + "." + std::to_string(vm().getTrajectory())};
const std::string PerambFileName{sPerambName + ".h5"};
const std::string &PerambFileName{par().PerambFileName + "." + std::to_string(vm().getTrajectory())}; std::cout << "reading perambulator from file " << PerambFileName << std::endl;
std::cout << "reading perambulator from file " << PerambFileName << std::endl; perambulator.template read<Hdf5Reader>(PerambFileName.c_str(), sPerambName.c_str());
perambulator.ReadBinary(PerambFileName);
} }
END_MODULE_NAMESPACE END_MODULE_NAMESPACE

61
tests/hadrons/Test_distil.cc
View File

@ -647,7 +647,8 @@ bool bNumber( int &ri, const char * & pstr, bool bGobbleWhiteSpace = true )
typedef Grid::Hadrons::MDistil::NamedTensor<Complex,3,sizeof(Real)> MyTensor; typedef Grid::Hadrons::MDistil::NamedTensor<Complex,3,sizeof(Real)> MyTensor;
template<typename T> template<typename T>
void DebugShowTensor(T &x, const char * n) typename std::enable_if<Grid::EigenIO::is_tensor<T>::value && !Grid::Hadrons::MDistil::is_named_tensor<T>::value>::type
DebugShowTensor(T &x, const char * n, std::string * pIndexNames=nullptr)
{ {
const MyTensor::Index s{x.size()}; const MyTensor::Index s{x.size()};
std::cout << n << ".size() = " << s << std::endl; std::cout << n << ".size() = " << s << std::endl;
@ -662,7 +663,10 @@ void DebugShowTensor(T &x, const char * n)
MyTensor::Index SizeCalculated{1}; MyTensor::Index SizeCalculated{1};
std::cout << "Dimensions again"; std::cout << "Dimensions again";
for(int i=0 ; i < x.NumDimensions ; i++ ) { for(int i=0 ; i < x.NumDimensions ; i++ ) {
std::cout << " : [" << i << /*", " << x.IndexNames[i] << */"]=" << x.dimension(i); std::cout << " : [" << i;
if( pIndexNames )
std::cout << ", " << pIndexNames[i];
std::cout << "]=" << x.dimension(i);
SizeCalculated *= d[i]; SizeCalculated *= d[i];
} }
std::cout << std::endl; std::cout << std::endl;
@ -686,6 +690,13 @@ void DebugShowTensor(T &x, const char * n)
std::cout << std::endl; std::cout << std::endl;
} }
template<typename T>
typename std::enable_if<Grid::Hadrons::MDistil::is_named_tensor<T>::value>::type
DebugShowTensor(T &x, const char * n)
{
DebugShowTensor( x.tensor, n, &x.IndexNames[0] );
}
// Test whether typedef and underlying types are the same // Test whether typedef and underlying types are the same
void DebugTestTypeEqualities(void) void DebugTestTypeEqualities(void)
@ -757,21 +768,59 @@ bool DebugEigenTest()
MyTensor x(as, 2,1,4); MyTensor x(as, 2,1,4);
DebugShowTensor(x, "x"); DebugShowTensor(x, "x");
x.WriteBinary(pszTestFileName); x.WriteBinary(pszTestFileName);
DebugShowTensor(x, "x");
// Test initialisation of an array of strings // Test initialisation of an array of strings
for( auto a : as ) for( auto a : as )
std::cout << a << std::endl; std::cout << a << std::endl;
Grid::Hadrons::MDistil::Peramb<Complex,3,sizeof(Real)> p{as,2,7,2}; Grid::Hadrons::MDistil::Perambulator<Complex,3,sizeof(Real)> p{as,2,7,2};
DebugShowTensor(p, "p"); DebugShowTensor(p, "p");
std::cout << "p.IndexNames follow" << std::endl; std::cout << "p.IndexNames follow" << std::endl;
for( auto a : p.IndexNames ) for( auto a : p.IndexNames )
std::cout << a << std::endl; std::cout << a << std::endl;
// Now see whether we can read a tensor back // Now see whether we can read a tensor back
std::array<std::string,3> Names2={"Alpha", "Gamma", "Delta"}; std::array<std::string,3> Names2={"Alpha", "Gamma", "Delta"};
MyTensor y(Names2, 2,4,1); MyTensor y(Names2, 2,4,1);
y.ReadBinary(pszTestFileName); y.ReadBinary(pszTestFileName);
DebugShowTensor(y, "y"); DebugShowTensor(y, "y");
// Now see whether we can read a tensor back from an hdf5 file
const char * pszH5Name = "test.h5";
y.write<Hdf5Writer>(pszH5Name);
{
MyTensor z;
const char * pszName = "z1";
DebugShowTensor(z, pszName);
z.read<Hdf5Reader>(pszH5Name);
DebugShowTensor(z, pszName);
}
{
MyTensor z(Names2,2,0,0);
const char * pszName = "z2";
DebugShowTensor(z, pszName);
z.read<Hdf5Reader>(pszH5Name);
DebugShowTensor(z, pszName);
}
if((0)) // The following tests would fail
{
MyTensor z(Names2,2,0,78);
//std::array<std::string,3> NamesBad={"Alpha", "Gamma", "Kilo"};
//MyTensor z(NamesBad);
const char * pszName = "zFail";
DebugShowTensor(z, pszName);
z.read<Hdf5Reader>(pszH5Name);
DebugShowTensor(z, pszName);
}
// Now see whether we can read a tensor back from an xml file
const char * pszXmlName = "test.xml";
y.write<XmlWriter>(pszXmlName);
{
MyTensor z;
const char * pszName = "xml1";
DebugShowTensor(z, pszName);
z.read<XmlReader>(pszXmlName);
DebugShowTensor(z, pszName);
}
// Testing whether typedef produces the same type - yes it does // Testing whether typedef produces the same type - yes it does
DebugTestTypeEqualities(); DebugTestTypeEqualities();
@ -954,8 +1003,8 @@ bool DebugGridTensorTest( void )
for( auto x : toc7 ) std::cout << " [" << i++ << "]=" << x; for( auto x : toc7 ) std::cout << " [" << i++ << "]=" << x;
std::cout << std::endl; std::cout << std::endl;
t2 o2; //t2 o2;
auto a2 = TensorRemove(o2); //auto a2 = TensorRemove(o2);
//t3 o3; //t3 o3;
//t4 o4; //t4 o4;
//auto a3 = TensorRemove(o3); //auto a3 = TensorRemove(o3);