Discussion :

[aycha mabrouk]

Salut ,j'écris une structure de données qui contient 11 paramètres en c++ ;lors de compilation du code sur vivado HLS j'ai quelque erreur:aidez-moi à corriger.merci

../../../../main.cpp:181:28: error: a brace-enclosed initializer is not allowed here before '{' token
../../../../main.cpp:181:65: error: ISO C++ forbids initialization of member 'parameters' [-fpermissive]
../../../../main.cpp:181:65: error: making 'parameters' static [-fpermissive]
../../../../main.cpp:181:65: error: invalid in-class initialization of static data member of non-integral type 'double [5][1]'

Code :

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struct model
	{
		double parameters[5][1] ={{1},{1},{1},{10},{0.150000000000000}};
 
		double *nr_class[1][1]={3};	/* number of classes, = 2 in regression/one class svm */
		double *totalSV[1][1]= {38};			/* total #SV */
		//double svm_node **SV=SVs=
			           double *rho[3][1]= {{3.85250072056665},{1.98260813354295},{-9.85381777928213}};
 
 
	          double *label[3][1]= {{1},{2},{3}};	/* label of each class (label[k]) */
		      double *sv_indices[38][1]= {{1},{3],{11},{18},},{70},{71},{72},{73},{75},{82},{83},{90},{94},{98},{102},{104},{107},{110},{113},{119}};       /* sv_indices[0,...,nSV-1] are values in [1,...,num_traning_data] to indicate SVs in the training set */
 
 
		      double *probA[3][1]= {{-3.04020468884611},{-3.02985537320699},{-1.22838128162279}};		/* pariwise probability information */
		      double *probB[3][1]= {{-0.143832034298135},{-0.331592706939798},{-0.317353460209991}};
			            double *sv_coef [38][2]= {
			  {0.0441014900184046,0},
			  {0.115481676752995,0.0247201450973238},
			  {0.0284525394158882,0},
		      {0.115481676752995,0.0247201450973238},
			  {0,2.56566567302770},
			  {-0.115481676752995,0},
			  {-0.115481676752995,0},
			  {-0.115481676752995,0},
						  {0,-2.56566567302770},
			  {-0.0247201450973238,-2.56566567302770},
			  {-0.0247201450973238,-0.106867010440775},
			  {0,-1.24158009628657},
			  {-0.0247201450973238,-2.56566567302770},
			  {-0.0247201450973238,-1.28942381799513}};	/* coefficients for SVs in decision functions (sv_coef[k-1][l]) */
 
				/* constants in decision functions (rho[k*(k-1)/2]) */
		/* for classification only */
 
		//double *label= [1;2;3];	/* label of each class (label[k]) */
		double *nSV[3][1] ={{10},{17},{11}};	/* number of SVs for each class (nSV[k]) */
					/* nSV[0] + nSV[1] + ... + nSV[k-1] = l */
	    double *SVs[38][14]={
		{-0.579400000000000,-0.924500000000000,-0.878900000000000,-0.907400000000000,-0.902800000000000,-0.979600000000000,-0.977000000000000,-0.918200000000000,-0.904600000000000,-0.965100000000000,-0.972900000000000,-0.941700000000000,-0.961900000000000,-0.936700000000000},
	{-0.422700000000000,-0.443500000000000,-0.809000000000000,-0.880800000000000,-0.879800000000000,-0.924100000000000,-0.930800000000000,-0.978100000000000,-0.949100000000000,-0.970100000000000,-0.990400000000000,-0.975300000000000,-0.981400000000000,-0.953000000000000},
	{-0.604400000000000,-0.850700000000000,-0.851100000000000,-0.788000000000000,-0.885200000000000,-0.825500000000000,-0.921000000000000,-0.933900000000000,-0.966800000000000,-0.917600000000000,-0.965200000000000,-0.930500000000000,-0.948600000000000,-0.938700000000000},
	,-0.711100000000000,-0.884900000000000,-0.735900000000000,-0.878500000000000,-0.868500000000000,-0.913100000000000,-0.938700000000000,-0.925300000000000,-0.932200000000000,-0.958400000000000,-0.848600000000000}};
 
		/* XXX */
		//int free_sv;		/* 1 if svm_model is created by svm_load_model*/
					/* 0 if svm_model is created by svm_train */
	};