68 rivejä
2.4 KiB
C++
68 rivejä
2.4 KiB
C++
/*!
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* \file config,h
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* \brief Build configuration file.
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*
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* \author
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* Christos Choutouridis AEM:8997
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* <cchoutou@ece.auth.gr>
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*/
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#ifndef CONFIG_H_
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#define CONFIG_H_
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#include <iostream>
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#include <string>
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#include "matrix.hpp"
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// HDF5 supported types
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enum class HDF5_type {
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SCHAR, CHAR, SHORT, USHORT, INT, UINT, LONG, ULONG, LLONG, ULLONG, FLOAT, DOUBLE
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};
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/*
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* Defines for different version of the exercise
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*/
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#define V0 0
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#define V1 1
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// Fail-safe version selection
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#if !defined CODE_VERSION
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#define CODE_VERSION V1
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#endif
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// matrix alias template dispatcher
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using MatrixDst = mtx::Matrix<double>;
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using MatrixIdx = mtx::Matrix<uint32_t>;
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static constexpr HDF5_type DstHDF5Type = HDF5_type::DOUBLE;
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static constexpr HDF5_type IdxHDF5Type = HDF5_type::INT;
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//! enumerator for output handling
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enum class StdOutputMode{ STD, FILE };
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/*!
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* Session option for each invocation of the executable
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*/
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struct session_t {
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std::string corpusMtxFile {}; //!< corpus matrix file name in HDF5 format
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std::string corpusDataSet {}; //!< corpus dataset name in HDF5 matrix file
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std::string queryMtxFile {}; //!< optional query matrix file name in HDF5 format
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std::string queryDataSet {}; //!< optional query dataset name in HDF5 matrix file
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bool queryMtx {false}; //!< Flag to indicate that there is a separate query matrix
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size_t k {1}; //!< The number of nearest neighbors to find
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std::string outMtxFile {"out.hdf5"}; //!< output matrix file name in HDF5 format
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std::string outMtxIdxDataSet {"/Idx"}; //!< Index output dataset name in HDF5 matrix file
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std::string outMtxDstDataSet {"/Dst"}; //!< Distance output dataset name in HDF5 matrix file
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std::size_t max_threads {0}; //!< Maximum threads to use
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std::size_t slices {0}; //!< Slices/threads to use
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std::size_t accuracy {100}; //!< The neighbor finding accuracy
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bool timing {false}; //!< Enable timing prints of the program
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bool verbose {false}; //!< Flag to enable verbose output to stdout
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};
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extern session_t session;
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#endif /* CONFIG_H_ */
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