Program Listing for File xf_accumulateweighted_aie.hpp

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/*
 * Copyright 2021 Xilinx, Inc.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

#include <adf.h>
#include <aie_api/aie.hpp>
#include <common/xf_aie_utils.hpp>

#ifndef _AIE_ACCUMULATEWEIGHTED_H_
#define _AIE_ACCUMULATEWEIGHTED_H_

#define PARALLEL_FACTOR_16b 16

#define SRS_SHIFT 8

namespace xf {
namespace cv {
namespace aie {

template <typename T, unsigned int N>
__attribute__((noinline)) void accumulateweighted(const T* restrict img_in1,
                                                  const T* restrict img_in2,
                                                  T* restrict img_out,
                                                  const T& img_width,
                                                  const T& img_height,
                                                  const float& scale) {
    //    int16_t fix_scale=float2fix(scale,SRS_SHIFT) ;//(float)scale*(1<<8);
    //    int16_t fix_scale1=float2fix((1-scale),SRS_SHIFT) ;// (1-scale)*(1<<8);
    T fix_scale = ::aie::to_fixed<float>(scale, SRS_SHIFT);        //(float)scale*(1<<8);
    T fix_scale1 = ::aie::to_fixed<float>((1 - scale), SRS_SHIFT); //(float)scale*(1<<8);

    ::aie::vector<T, N> weight(fix_scale, fix_scale1);

    for (int j = 0; j < (img_height * img_width); j += N) // 16x samples per loop
        chess_prepare_for_pipelining chess_loop_range(14, ) {
            ::aie::vector<T, N> data_buf1 = ::aie::load_v<16>(img_in1);
            img_in1 += N;
            ::aie::vector<T, N> data_buf2 = ::aie::load_v<16>(img_in2);
            img_in2 += N;

            ::aie::accum<acc32, N> acc =
                ::aie::accumulate<16>(weight, data_buf1, data_buf2); // weight[0] * data_buf1 + weight[1] * data_buf2

            ::aie::store_v(img_out, acc.template to_vector<T>(SRS_SHIFT));

            img_out += 16;
        }
}

__attribute__((noinline)) void accumulateweighted_api(input_window_int16* img_in1,
                                                      input_window_int16* img_in2,
                                                      output_window_int16* img_out,
                                                      const float& alpha) {
    int16* restrict img_in_ptr = (int16*)img_in1->ptr;
    int16* restrict img_in_ptr1 = (int16*)img_in2->ptr;
    int16* restrict img_out_ptr = (int16*)img_out->ptr;

    const int16_t img_width = xfcvGetTileWidth(img_in_ptr);
    const int16_t img_height = xfcvGetTileHeight(img_in_ptr);

    xfcvCopyMetaData(img_in_ptr, img_out_ptr);
    xfcvUnsignedSaturation(img_out_ptr);

    int16_t* restrict ptr0 = xfcvGetImgDataPtr(img_in_ptr);
    int16_t* restrict ptr1 = xfcvGetImgDataPtr(img_in_ptr1);
    int16_t* restrict ptr_out = xfcvGetImgDataPtr(img_out_ptr);

    accumulateweighted<int16_t, PARALLEL_FACTOR_16b>(ptr0, ptr1, ptr_out, img_width, img_height, alpha);
}

} // aie
} // cv
} // xf
#endif