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Adding Eigen::Tensor still WIP
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@ -55,14 +55,21 @@ namespace Grid {
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template <typename U>
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typename std::enable_if<!std::is_base_of<Serializable, U>::value, void>::type
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write(const std::string& s, const U &output);
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template <typename Scalar_, int NumIndices_, int Options_, typename IndexType_>
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typename std::enable_if<std::is_arithmetic<Scalar_>::value || Grid::is_complex<Scalar_>::value, void>::type
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write(const std::string &s, const Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType_> &output);
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template<typename U, int NumIndices_, int Options_, typename IndexType_>
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void write(const std::string &s, const Eigen::Tensor<iScalar<U>, NumIndices_, Options_, IndexType_> &output);
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template<typename U, int N, int NumIndices_, int Options_, typename IndexType_>
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void write(const std::string &s, const Eigen::Tensor<iVector<U, N>, NumIndices_, Options_, IndexType_> &output);
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template<typename U, int N, int NumIndices_, int Options_, typename IndexType_>
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void write(const std::string &s, const Eigen::Tensor<iMatrix<U, N>, NumIndices_, Options_, IndexType_> &output);
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template <typename U>
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void write(const std::string &s, const iScalar<U> &output);
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template <typename U, int N>
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void write(const std::string &s, const iVector<U, N> &output);
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template <typename U, int N>
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void write(const std::string &s, const iMatrix<U, N> &output);
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template <typename Scalar_, int NumIndices_>
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void write(const std::string &s, const Eigen::Tensor<Scalar_, NumIndices_, Eigen::RowMajor> &output);
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void scientificFormat(const bool set);
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bool isScientific(void);
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@ -145,6 +152,44 @@ namespace Grid {
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upcast->writeDefault(s, output);
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}
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// Eigen::Tensors of arithmetic/complex base type
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template <typename T>
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template <typename Scalar_, int NumIndices_, int Options_, typename IndexType_>
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typename std::enable_if<std::is_arithmetic<Scalar_>::value || Grid::is_complex<Scalar_>::value, void>::type
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Writer<T>::write(const std::string &s, const Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType_> &output)
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{
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//upcast->writeDefault(s, tensorToVec(output));
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std::cout << "I really should add code to write Eigen::Tensor (arithmetic/complex) ..." << std::endl;
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}
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// Eigen::Tensors of iScalar<U>
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template <typename T>
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template<typename U, int NumIndices_, int Options_, typename IndexType_>
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void Writer<T>::write(const std::string &s, const Eigen::Tensor<iScalar<U>, NumIndices_, Options_, IndexType_> &output)
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{
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//upcast->writeDefault(s, tensorToVec(output));
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std::cout << "I really should add code to write Eigen::Tensor (iScalar) ..." << std::endl;
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}
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// Eigen::Tensors of iVector<U, N>
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template <typename T>
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template<typename U, int N, int NumIndices_, int Options_, typename IndexType_>
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void Writer<T>::write(const std::string &s, const Eigen::Tensor<iVector<U, N>, NumIndices_, Options_, IndexType_> &output)
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{
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//upcast->writeDefault(s, tensorToVec(output));
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std::cout << "I really should add code to write Eigen::Tensor (iVector) ..." << std::endl;
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}
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// Eigen::Tensors of iMatrix<U, N>
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template <typename T>
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template<typename U, int N, int NumIndices_, int Options_, typename IndexType_>
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void Writer<T>::write(const std::string &s, const Eigen::Tensor<iMatrix<U, N>, NumIndices_, Options_, IndexType_> &output)
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{
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//upcast->writeDefault(s, tensorToVec(output));
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std::cout << "I really should add code to write Eigen::Tensor (iMatrix) ..." << std::endl;
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}
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template <typename T>
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template <typename U>
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void Writer<T>::write(const std::string &s, const iScalar<U> &output)
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@ -166,14 +211,6 @@ namespace Grid {
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upcast->writeDefault(s, tensorToVec(output));
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}
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template <typename T>
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template <typename Scalar_, int NumIndices_>
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void Writer<T>::write(const std::string &s, const Eigen::Tensor<Scalar_, NumIndices_, Eigen::RowMajor> &output)
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{
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//upcast->writeDefault(s, tensorToVec(output));
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std::cout << "I really should add code to write Eigen::Tensor ..." << std::endl;
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}
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template <typename T>
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void Writer<T>::scientificFormat(const bool set)
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{
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@ -436,4 +436,4 @@ std::string vecToStr(const std::vector<T> &v)
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return sstr.str();
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}
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#endif
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#endif
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@ -424,12 +424,15 @@ bool DebugEigenTest()
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}
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typedef iMatrix<Complex,7> OddBall;
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typedef Eigen::Tensor<int, 3, Eigen::RowMajor> TensorInt;
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typedef Eigen::Tensor<std::complex<double>, 3, Eigen::RowMajor> TensorComplex;
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typedef Eigen::Tensor<OddBall, 3, Eigen::RowMajor> TensorOddBall;
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// From Test_serialisation.cc
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class myclass: Serializable {
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public:
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GRID_SERIALIZABLE_CLASS_MEMBERS(myclass
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, OddBall, critter
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//, OddBall, critter
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, SpinColourVector, scv
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, SpinColourMatrix, scm
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);
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@ -465,6 +468,9 @@ bool DebugIOTest(void) {
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ioTest<Hdf5Writer, Hdf5Reader, SpinColourVector>("iotest_vector.h5", scv, "SpinColourVector");
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myclass o;
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ioTest<Hdf5Writer, Hdf5Reader, myclass>("iotest_object.h5", o, "myclass_object_instance_name");
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TensorInt t(3,6,2);
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ioTest<Hdf5Writer, Hdf5Reader, TensorInt>("iotest_tensor.h5", t, "eigen_tensor_instance_name");
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return true;
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}
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#endif
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