127     int dim = A->rows;  in cvChol()
161     int amount = sample->rows;  in cvRandMVNormal()
221     int amount = sample->rows;  in cvRandGaussMixture()
344     CV_ASSERT (center->rows == 1);  in cvRandRoundUni()
348     size = desired_matrix->rows;  in cvRandRoundUni()
377     int rows, cols;  in cvCompleteSymm()  local
384     rows = matrix->rows;  in cvCompleteSymm()
394             for( i = 1; i < rows; i++ )  in cvCompleteSymm()
402             for( i = 0; i < rows-1; i++, dst += step )  in cvCompleteSymm()
414             for( i = 1; i < rows; i++ )  in cvCompleteSymm()
422             for( i = 0; i < rows-1; i++, dst += step )  in cvCompleteSymm()
475     if( idx_arr->rows != 1 && idx_arr->cols != 1 )  in cvPreprocessIndexArray()
478     idx_total = idx_arr->rows + idx_arr->cols - 1;  in cvPreprocessIndexArray()
585     if( var_type->rows != 1 && var_type->cols != 1 )  in cvPreprocessVarType()
591     tm_size = var_type->rows + var_type->cols - 1;  in cvPreprocessVarType()
604             var_idx->rows != 1 && var_idx->cols != 1 || !CV_IS_MAT_CONT(var_idx->type) )  in cvPreprocessVarType()
606         if( var_idx->rows + var_idx->cols - 1 > var_count )  in cvPreprocessVarType()
609         var_count = var_idx->rows + var_idx->cols - 1;  in cvPreprocessVarType()
646     if( responses->rows != 1 && responses->cols != 1 )  in cvPreprocessOrderedResponses()
649     if( responses->rows + responses->cols - 1 != sample_count )  in cvPreprocessOrderedResponses()
668             sample_idx->rows != 1 && sample_idx->cols != 1 || !CV_IS_MAT_CONT(sample_idx->type) )  in cvPreprocessOrderedResponses()
670         if( sample_idx->rows + sample_idx->cols - 1 > sample_count )  in cvPreprocessOrderedResponses()
673         sample_count = sample_idx->rows + sample_idx->cols - 1;  in cvPreprocessOrderedResponses()
736     if( responses->rows != 1 && responses->cols != 1 )  in cvPreprocessCategoricalResponses()
739     if( responses->rows + responses->cols - 1 != sample_count )  in cvPreprocessCategoricalResponses()
752             sample_idx->rows != 1 && sample_idx->cols != 1 || !CV_IS_MAT_CONT(sample_idx->type) )  in cvPreprocessCategoricalResponses()
754         if( sample_idx->rows + sample_idx->cols - 1 > sample_count )  in cvPreprocessCategoricalResponses()
757         sample_count = sample_idx->rows + sample_idx->cols - 1;  in cvPreprocessCategoricalResponses()
858     var_count = var_idx ? var_idx->cols + var_idx->rows - 1 :  in cvGetTrainSamples()
859                 tflag == CV_ROW_SAMPLE ? train_data->cols : train_data->rows;  in cvGetTrainSamples()
860     sample_count = sample_idx ? sample_idx->cols + sample_idx->rows - 1 :  in cvGetTrainSamples()
861                    tflag == CV_ROW_SAMPLE ? train_data->rows : train_data->cols;  in cvGetTrainSamples()
942         *var_all = tflag == CV_ROW_SAMPLE ? train_data->cols : train_data->rows;  in cvCheckTrainData()
945         *sample_all = tflag == CV_ROW_SAMPLE ? train_data->rows : train_data->cols;  in cvCheckTrainData()
1111     if( classes->rows != 1 || CV_MAT_TYPE(classes->type) != CV_32SC1 )  in cvSortSamplesByClasses()
1176     if( !(is_sparse && d == 1 || !is_sparse && d == 2 && (sample->rows == 1 || sample->cols == 1)) )  in cvPreparePredictData()
1189     if( comp_idx && (!CV_IS_MAT(comp_idx) || comp_idx->rows != 1 ||  in cvPreparePredictData()
1200         if( (prob->rows != 1 && prob->cols != 1) ||  in cvPreparePredictData()
1206         if( prob->rows + prob->cols - 1 != class_count )  in cvPreparePredictData()
1438         CV_ASSERT( sample_idx->rows == 1 && CV_MAT_TYPE(sample_idx->type) == CV_32SC1 );  in cvWritebackLabels()
1444         CV_ASSERT( comp_idx->rows == 1 && CV_MAT_TYPE(comp_idx->type) == CV_32SC1 );  in cvWritebackLabels()
1453         CV_ASSERT( labels->rows == 1 );  in cvWritebackLabels()
1455         if( dst_labels->rows != 1 && dst_labels->cols != 1 )  in cvWritebackLabels()
1458         if( dst_labels->rows + dst_labels->cols - 1 != samples_all )  in cvWritebackLabels()
1476         if( centers->rows != dst_centers->rows )  in cvWritebackLabels()
1486         for( i = 0; i < centers->rows; i++ )  in cvWritebackLabels()
1500         if( dst_probs->rows != samples_all )  in cvWritebackLabels()
1505         CV_ASSERT( probs->rows == samples_selected );  in cvWritebackLabels()
1585         if( sample_idx->cols != 1 && sample_idx->rows != 1 )
1588         samples_selected = sample_idx->rows + sample_idx->cols - 1;
1602     if( predict_output->rows != 1 && predict_output->cols != 1 )
1605     if( predict_output->rows + predict_output->cols - 1 != samples_all )
1616         if( probs->rows != samples_all )
1830     samples = _responses->cols + _responses->rows - 1;  in cvCombineResponseMaps()
1904     nsamples  = probs->rows;  in icvFindClusterLabels()