91 lines
		
	
	
		
			2.7 KiB
		
	
	
	
		
			C
		
	
	
		
		
			
		
	
	
			91 lines
		
	
	
		
			2.7 KiB
		
	
	
	
		
			C
		
	
	
|  | /*
 | ||
|  |  * tensorInterface.h | ||
|  |  * @brief Interfacing tensors template library and gtsam | ||
|  |  * Created on: Feb 12, 2010 | ||
|  |  * @author: Frank Dellaert | ||
|  |  */ | ||
|  | 
 | ||
|  | #include "tensors.h"
 | ||
|  | #include "Matrix.h""
 | ||
|  | 
 | ||
|  | namespace gtsam { | ||
|  | 
 | ||
|  | 	/** Reshape 3*3 rank 2 tensor into Matrix */ | ||
|  | 	template<class A, class I, class J> | ||
|  | 	Matrix reshape(const tensors::Tensor2Expression<A, I, J>& T, int m, int n) { | ||
|  | 		if (m * n != 9) throw std::invalid_argument( | ||
|  | 				"reshape: incompatible dimensions"); | ||
|  | 		Matrix M(m, n); | ||
|  | 		size_t t = 0; | ||
|  | 		for (int j = 0; j < J::dim; j++) | ||
|  | 			for (int i = 0; i < I::dim; i++) | ||
|  | 				M.data()[t++] = T(i, j); | ||
|  | 		return M; | ||
|  | 	} | ||
|  | 
 | ||
|  | 	/** Reshape Vector into rank 2 tensor */ | ||
|  | 	template<int N1, int N2> | ||
|  | 	tensors::Tensor2<N1, N2> reshape2(const Vector& v) { | ||
|  | 		if (v.size() != N1 * N2) throw std::invalid_argument( | ||
|  | 				"reshape2: incompatible dimensions"); | ||
|  | 		double data[N1][N2]; | ||
|  | 		int t = 0; | ||
|  | 		for (int j = 0; j < N2; j++) | ||
|  | 			for (int i = 0; i < N1; i++) | ||
|  | 				data[j][i] = v(t++); | ||
|  | 		return tensors::Tensor2<N1, N2>(data); | ||
|  | 	} | ||
|  | 
 | ||
|  | 	/** Reshape rank 3 tensor into Matrix */ | ||
|  | 	template<class A, class I, class J, class K> | ||
|  | 	Matrix reshape(const tensors::Tensor3Expression<A, I, J, K>& T, int m, int n) { | ||
|  | 		if (m * n != I::dim * J::dim * K::dim) throw std::invalid_argument( | ||
|  | 				"reshape: incompatible dimensions"); | ||
|  | 		Matrix M(m, n); | ||
|  | 		int t = 0; | ||
|  | 		for (int k = 0; k < K::dim; k++) | ||
|  | 			for (int j = 0; j < J::dim; j++) | ||
|  | 				for (int i = 0; i < I::dim; i++) | ||
|  | 					M.data()[t++] = T(i, j, k); | ||
|  | 		return M; | ||
|  | 	} | ||
|  | 
 | ||
|  | 	/** Reshape Vector into rank 3 tensor */ | ||
|  | 	template<int N1, int N2, int N3> | ||
|  | 	tensors::Tensor3<N1, N2, N3> reshape3(const Vector& v) { | ||
|  | 		if (v.size() != N1 * N2 * N3) throw std::invalid_argument( | ||
|  | 				"reshape3: incompatible dimensions"); | ||
|  | 		double data[N1][N2][N3]; | ||
|  | 		int t = 0; | ||
|  | 		for (int k = 0; k < N3; k++) | ||
|  | 			for (int j = 0; j < N2; j++) | ||
|  | 				for (int i = 0; i < N1; i++) | ||
|  | 					data[k][j][i] = v(t++); | ||
|  | 		return tensors::Tensor3<N1, N2, N3>(data); | ||
|  | 	} | ||
|  | 
 | ||
|  | 	/** Reshape rank 5 tensor into Matrix */ | ||
|  | 	template<class A, class I, class J, class K, class L, class M> | ||
|  | 	Matrix reshape(const tensors::Tensor5Expression<A, I, J, K, L, M>& T, int m, | ||
|  | 			int n) { | ||
|  | 		if (m * n != I::dim * J::dim * K::dim * L::dim * M::dim) throw std::invalid_argument( | ||
|  | 				"reshape: incompatible dimensions"); | ||
|  | 		Matrix R(m, n); | ||
|  | 		int t = 0; | ||
|  | 		for (int m = 0; m < M::dim; m++) | ||
|  | 			for (int l = 0; l < L::dim; l++) | ||
|  | 				for (int k = 0; k < K::dim; k++) | ||
|  | 					for (int j = 0; j < J::dim; j++) | ||
|  | 						for (int i = 0; i < I::dim; i++) | ||
|  | 							R.data()[t++] = T(i, j, k, l, m); | ||
|  | 		return R; | ||
|  | 	} | ||
|  | 
 | ||
|  | 	/**
 | ||
|  | 	 * Find Vector v that minimizes algebraic error A*v | ||
|  | 	 * Returns rank of A, minimum error, and corresponding eigenvector | ||
|  | 	 */ | ||
|  | 	boost::tuple<int,double,Vector> DLT(const Matrix& A); | ||
|  | 
 | ||
|  | } // namespace gtsam
 |