how to use ippiHaarClassifierInit_32f

hi,

when i use opencv and with  ipp 2018 

and  found ippiHaarClassifierInit_32f would return -8 error. code like this.

......................

#ifdef HAVE_IPP
    int can_use_ipp = !out->has_tilted_features && !out->is_tree && out->isStumpBased;

    if( can_use_ipp )
    {
        int ipp_datasize = cascade->count*sizeof(out->ipp_stages[0]);
        float ipp_weight_scale=(float)(1./((orig_window_size.width-icv_object_win_border*2)*
            (orig_window_size.height-icv_object_win_border*2)));

        out->ipp_stages = (void**)cvAlloc( ipp_datasize );
        memset( out->ipp_stages, 0, ipp_datasize );

        ipp_features = (CvRect*)cvAlloc( max_count*3*sizeof(ipp_features[0]) );
        ipp_weights = (float*)cvAlloc( max_count*3*sizeof(ipp_weights[0]) );
        ipp_thresholds = (float*)cvAlloc( max_count*sizeof(ipp_thresholds[0]) );
        ipp_val1 = (float*)cvAlloc( max_count*sizeof(ipp_val1[0]) );
        ipp_val2 = (float*)cvAlloc( max_count*sizeof(ipp_val2[0]) );
        ipp_counts = (int*)cvAlloc( max_count*sizeof(ipp_counts[0]) );

        for( i = 0; i < cascade->count; i++ )
        {
            CvHaarStageClassifier* stage_classifier = cascade->stage_classifier + i;
            for( j = 0, k = 0; j < stage_classifier->count; j++ )
            {
                CvHaarClassifier* classifier = stage_classifier->classifier + j;
                int rect_count = 2 + (classifier->haar_feature->rect[2].r.width != 0);

                ipp_thresholds[j] = classifier->threshold[0];
                ipp_val1[j] = classifier->alpha[0];
                ipp_val2[j] = classifier->alpha[1];
                ipp_counts[j] = rect_count;

                for( l = 0; l < rect_count; l++, k++ )
                {
                    ipp_features[k] = classifier->haar_feature->rect[l].r;
                    //ipp_features[k].y = orig_window_size.height - ipp_features[k].y - ipp_features[k].height;
                    ipp_weights[k] = classifier->haar_feature->rect[l].weight*ipp_weight_scale;
                }
            }

            returnVal =  ippiHaarClassifierInit_32f((IppiHaarClassifier_32f*)out->ipp_stages[i],
                (const IppiRect*)ipp_features, ipp_weights, ipp_thresholds,
                ipp_val1, ipp_val2, ipp_counts, stage_classifier->count);
            if(returnVal < 0 )
                break;
        }

        if( i < cascade->count )
        {
            for( j = 0; j < i; j++ )
                if( out->ipp_stages[i] )
                    ippFree( (IppiHaarClassifier_32f*)out->ipp_stages[i] );
            cvFree( &out->ipp_stages );
        }
    }
#endif

...........................

but if i change ipp version to 6.1

the code just like this

.........................

#ifdef HAVE_IPP
    int can_use_ipp = !out->has_tilted_features && !out->is_tree && out->isStumpBased;

    if( can_use_ipp )
    {
        int ipp_datasize = cascade->count*sizeof(out->ipp_stages[0]);
        float ipp_weight_scale=(float)(1./((orig_window_size.width-icv_object_win_border*2)*
            (orig_window_size.height-icv_object_win_border*2)));

        out->ipp_stages = (void**)cvAlloc( ipp_datasize );
        memset( out->ipp_stages, 0, ipp_datasize );

        ipp_features = (CvRect*)cvAlloc( max_count*3*sizeof(ipp_features[0]) );
        ipp_weights = (float*)cvAlloc( max_count*3*sizeof(ipp_weights[0]) );
        ipp_thresholds = (float*)cvAlloc( max_count*sizeof(ipp_thresholds[0]) );
        ipp_val1 = (float*)cvAlloc( max_count*sizeof(ipp_val1[0]) );
        ipp_val2 = (float*)cvAlloc( max_count*sizeof(ipp_val2[0]) );
        ipp_counts = (int*)cvAlloc( max_count*sizeof(ipp_counts[0]) );

        for( i = 0; i < cascade->count; i++ )
        {
            CvHaarStageClassifier* stage_classifier = cascade->stage_classifier + i;
            for( j = 0, k = 0; j < stage_classifier->count; j++ )
            {
                CvHaarClassifier* classifier = stage_classifier->classifier + j;
                int rect_count = 2 + (classifier->haar_feature->rect[2].r.width != 0);

                ipp_thresholds[j] = classifier->threshold[0];
                ipp_val1[j] = classifier->alpha[0];
                ipp_val2[j] = classifier->alpha[1];
                ipp_counts[j] = rect_count;

                for( l = 0; l < rect_count; l++, k++ )
                {
                    ipp_features[k] = classifier->haar_feature->rect[l].r;
                    //ipp_features[k].y = orig_window_size.height - ipp_features[k].y - ipp_features[k].height;
                    ipp_weights[k] = classifier->haar_feature->rect[l].weight*ipp_weight_scale;
                }
            }

            if( ippiHaarClassifierInitAlloc_32f( (IppiHaarClassifier_32f**)&out->ipp_stages[i],
                (const IppiRect*)ipp_features, ipp_weights, ipp_thresholds,
                ipp_val1, ipp_val2, ipp_counts, stage_classifier->count ) < 0 )
                break;
        }

        if( i < cascade->count )
        {
            for( j = 0; j < i; j++ )
                if( out->ipp_stages[i] )
                    ippiHaarClassifierFree_32f( (IppiHaarClassifier_32f*)out->ipp_stages[i] );
            cvFree( &out->ipp_stages );
        }
    }
#endif

............................................

it would work well. the different between above code  is ippiHaarClassifierInitAlloc_32f and ippiHaarClassifierInit_32f

so i'm not sure what's the problem with 2018 ipp. please help, or any one can send me a example code to use ippiHaarClassifierInit_32f

thank 's a lot.