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119 lines
6.6 KiB
119 lines
6.6 KiB
#ifndef STORM_CUDAFORSTORM_BASICVALUEITERATION_H_
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#define STORM_CUDAFORSTORM_BASICVALUEITERATION_H_
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#include <cstdint>
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#include <vector>
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#include <utility>
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// Library exports
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#include "cudaForStorm.h"
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/* Helper declaration to cope with new internal format */
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#ifndef STORM_STORAGE_SPARSEMATRIX_H_
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namespace storm {
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namespace storage {
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template<typename IndexType, typename ValueType>
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class MatrixEntry {
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public:
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typedef IndexType index_type;
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typedef ValueType value_type;
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/*!
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* Constructs a matrix entry with the given column and value.
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*
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* @param column The column of the matrix entry.
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* @param value The value of the matrix entry.
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*/
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MatrixEntry(index_type column, value_type value);
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/*!
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* Move-constructs the matrix entry fro the given column-value pair.
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*
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* @param pair The column-value pair from which to move-construct the matrix entry.
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*/
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MatrixEntry(std::pair<index_type, value_type>&& pair);
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MatrixEntry();
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MatrixEntry(MatrixEntry const& other);
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MatrixEntry& operator=(MatrixEntry const& other);
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#ifndef WINDOWS
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MatrixEntry(MatrixEntry&& other);
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MatrixEntry& operator=(MatrixEntry&& other);
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#endif
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/*!
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* Retrieves the column of the matrix entry.
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*
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* @return The column of the matrix entry.
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*/
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index_type const& getColumn() const;
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/*!
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* Sets the column of the current entry.
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*
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* @param column The column to set for this entry.
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*/
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void setColumn(index_type const& column);
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/*!
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* Retrieves the value of the matrix entry.
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*
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* @return The value of the matrix entry.
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*/
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value_type const& getValue() const;
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/*!
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* Sets the value of the entry in the matrix.
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*
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* @param value The value that is to be set for this entry.
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*/
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void setValue(value_type const& value);
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/*!
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* Retrieves a pair of column and value that characterizes this entry.
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*
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* @return A column-value pair that characterizes this entry.
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*/
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std::pair<index_type, value_type> const& getColumnValuePair() const;
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/*!
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* Multiplies the entry with the given factor and returns the result.
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*
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* @param factor The factor with which to multiply the entry.
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*/
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MatrixEntry operator*(value_type factor) const;
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template<typename IndexTypePrime, typename ValueTypePrime>
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friend std::ostream& operator<<(std::ostream& out, MatrixEntry<IndexTypePrime, ValueTypePrime> const& entry);
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private:
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// The actual matrix entry.
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std::pair<index_type, value_type> entry;
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};
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}
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}
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#endif
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size_t basicValueIteration_mvReduce_uint64_double_calculateMemorySize(size_t const rowCount, size_t const rowGroupCount, size_t const nnzCount);
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bool basicValueIteration_mvReduce_uint64_double_minimize(uint_fast64_t const maxIterationCount, double const precision, bool const relativePrecisionCheck, std::vector<uint_fast64_t> const& matrixRowIndices, std::vector<storm::storage::MatrixEntry<uint_fast64_t, double>> const& columnIndicesAndValues, std::vector<double>& x, std::vector<double> const& b, std::vector<uint_fast64_t> const& nondeterministicChoiceIndices, size_t& iterationCount);
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bool basicValueIteration_mvReduce_uint64_double_maximize(uint_fast64_t const maxIterationCount, double const precision, bool const relativePrecisionCheck, std::vector<uint_fast64_t> const& matrixRowIndices, std::vector<storm::storage::MatrixEntry<uint_fast64_t, double>> const& columnIndicesAndValues, std::vector<double>& x, std::vector<double> const& b, std::vector<uint_fast64_t> const& nondeterministicChoiceIndices, size_t& iterationCount);
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size_t basicValueIteration_mvReduce_uint64_float_calculateMemorySize(size_t const rowCount, size_t const rowGroupCount, size_t const nnzCount);
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bool basicValueIteration_mvReduce_uint64_float_minimize(uint_fast64_t const maxIterationCount, double const precision, bool const relativePrecisionCheck, std::vector<uint_fast64_t> const& matrixRowIndices, std::vector<storm::storage::MatrixEntry<uint_fast64_t, float>> const& columnIndicesAndValues, std::vector<float>& x, std::vector<float> const& b, std::vector<uint_fast64_t> const& nondeterministicChoiceIndices, size_t& iterationCount);
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bool basicValueIteration_mvReduce_uint64_float_maximize(uint_fast64_t const maxIterationCount, double const precision, bool const relativePrecisionCheck, std::vector<uint_fast64_t> const& matrixRowIndices, std::vector<storm::storage::MatrixEntry<uint_fast64_t, float>> const& columnIndicesAndValues, std::vector<float>& x, std::vector<float> const& b, std::vector<uint_fast64_t> const& nondeterministicChoiceIndices, size_t& iterationCount);
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void basicValueIteration_spmv_uint64_double(uint_fast64_t const matrixColCount, std::vector<uint_fast64_t> const& matrixRowIndices, std::vector<storm::storage::MatrixEntry<uint_fast64_t, double>> const& columnIndicesAndValues, std::vector<double> const& x, std::vector<double>& b);
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void basicValueIteration_addVectorsInplace_double(std::vector<double>& a, std::vector<double> const& b);
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void basicValueIteration_reduceGroupedVector_uint64_double_minimize(std::vector<double> const& groupedVector, std::vector<uint_fast64_t> const& grouping, std::vector<double>& targetVector);
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void basicValueIteration_reduceGroupedVector_uint64_double_maximize(std::vector<double> const& groupedVector, std::vector<uint_fast64_t> const& grouping, std::vector<double>& targetVector);
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void basicValueIteration_equalModuloPrecision_double_Relative(std::vector<double> const& x, std::vector<double> const& y, double& maxElement);
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void basicValueIteration_equalModuloPrecision_double_NonRelative(std::vector<double> const& x, std::vector<double> const& y, double& maxElement);
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void basicValueIteration_spmv_uint64_float(uint_fast64_t const matrixColCount, std::vector<uint_fast64_t> const& matrixRowIndices, std::vector<storm::storage::MatrixEntry<uint_fast64_t, float>> const& columnIndicesAndValues, std::vector<float> const& x, std::vector<float>& b);
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void basicValueIteration_addVectorsInplace_float(std::vector<float>& a, std::vector<float> const& b);
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void basicValueIteration_reduceGroupedVector_uint64_float_minimize(std::vector<float> const& groupedVector, std::vector<uint_fast64_t> const& grouping, std::vector<float>& targetVector);
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void basicValueIteration_reduceGroupedVector_uint64_float_maximize(std::vector<float> const& groupedVector, std::vector<uint_fast64_t> const& grouping, std::vector<float>& targetVector);
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void basicValueIteration_equalModuloPrecision_float_Relative(std::vector<float> const& x, std::vector<float> const& y, float& maxElement);
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void basicValueIteration_equalModuloPrecision_float_NonRelative(std::vector<float> const& x, std::vector<float> const& y, float& maxElement);
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#endif // STORM_CUDAFORSTORM_BASICVALUEITERATION_H_
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