SAP增强V45A0002的使用

SAP V45A0002是一个特定版本或模块，它通常用于描述SAP Business Suite 4HANA中的财务解决方案。这个编号代表了某个功能集或升级包，可能是针对企业资源规划(ERP)系统的财务管理部分。使用V45A0002可能涉及的功能包括财务会计、成本控制、预算管理等。

SAP V45A0002的具体使用涉及到以下几个步骤：

1. **安装和配置**：首先，需要在SAP系统环境中安装此模块，并根据企业的业务需求进行定制化的配置设置。

2. **数据迁移**：如果从旧版系统迁移过来，需对数据进行清洗和转换，以便适应新模块的要求。

3. **用户培训**：让用户熟悉新模块的功能，以及新的工作流程和报告查看方式。

4. **测试和验收**：进行全面的系统测试，确保所有功能都能正常运行，并满足业务需求。

5. **上线和维护**：实施监控，持续优化，处理可能出现的问题，保证系统的稳定运行。

相关问题

使用unity将一个vof场显示为液面，写出代码

好的，让我来回答你的问题。

在Unity中将VOF场显示为液面，可以使用Shader和Mesh来实现。下面是一个示例代码，可以将VOF场数据转换为Mesh并使用Shader显示为液面：

using UnityEngine;
using System.Collections;

public class VOFToMesh : MonoBehaviour {

    public Texture3D vofField;

    public Material material;

    // Use this for initialization
    void Start () {
        int resolution = vofField.width;
        float isoValue = 0.5f;

        // Create the mesh
        Mesh mesh = new Mesh();
        Vector3[] vertices = new Vector3[resolution * resolution * resolution];
        int[] triangles = new int[resolution * resolution * resolution * 5];
        int t = 0;

        for (int z = 0; z < resolution - 1; z++)
        {
            for (int y = 0; y < resolution - 1; y++)
            {
                for (int x = 0; x < resolution - 1; x++)
                {
                    // Get the eight vertices of the cube
                    float v0 = vofField.GetPixel(x, y, z).r;
                    float v1 = vofField.GetPixel(x + 1, y, z).r;
                    float v2 = vofField.GetPixel(x + 1, y + 1, z).r;
                    float v3 = vofField.GetPixel(x, y + 1, z).r;
                    float v4 = vofField.GetPixel(x, y, z + 1).r;
                    float v5 = vofField.GetPixel(x + 1, y, z + 1).r;
                    float v6 = vofField.GetPixel(x + 1, y + 1, z + 1).r;
                    float v7 = vofField.GetPixel(x, y + 1, z + 1).r;

                    // Calculate the eight corner positions
                    Vector3 p0 = new Vector3(x, y, z);
                    Vector3 p1 = new Vector3(x + 1, y, z);
                    Vector3 p2 = new Vector3(x + 1, y + 1, z);
                    Vector3 p3 = new Vector3(x, y + 1, z);
                    Vector3 p4 = new Vector3(x, y, z + 1);
                    Vector3 p5 = new Vector3(x + 1, y, z + 1);
                    Vector3 p6 = new Vector3(x + 1, y + 1, z + 1);
                    Vector3 p7 = new Vector3(x, y + 1, z + 1);

                    // Calculate the surface vertices
                    Vector3 v01 = InterpolateVertex(p0, p1, v0, v1, isoValue);
                    Vector3 v23 = InterpolateVertex(p2, p3, v2, v3, isoValue);
                    Vector3 v45 = InterpolateVertex(p4, p5, v4, v5, isoValue);
                    Vector3 v67 = InterpolateVertex(p6, p7, v6, v7, isoValue);
                    Vector3 v03 = InterpolateVertex(p0, p3, v0, v3, isoValue);
                    Vector3 v12 = InterpolateVertex(p1, p2, v1, v2, isoValue);
                    Vector3 v47 = InterpolateVertex(p4, p7, v4, v7, isoValue);
                    Vector3 v56 = InterpolateVertex(p5, p6, v5, v6, isoValue);
                    Vector3 v04 = InterpolateVertex(p0, p4, v0, v4, isoValue);
                    Vector3 v15 = InterpolateVertex(p1, p5, v1, v5, isoValue);
                    Vector3 v26 = InterpolateVertex(p2, p6, v2, v6, isoValue);
                    Vector3 v37 = InterpolateVertex(p3, p7, v3, v7, isoValue);

                    // Add the triangles
                    t = AddTriangle(triangles, t, vertices, v01, v12, v03);
                    t = AddTriangle(triangles, t, vertices, v12, v23, v03);
                    t = AddTriangle(triangles, t, vertices, v12, v56, v23);
                    t = AddTriangle(triangles, t, vertices, v56, v67, v23);
                    t = AddTriangle(triangles, t, vertices, v01, v26, v15);
                    t = AddTriangle(triangles, t, vertices, v01, v04, v26);
                    t = AddTriangle(triangles, t, vertices, v04, v37, v26);
                    t = AddTriangle(triangles, t, vertices, v26, v37, v56);
                    t = AddTriangle(triangles, t, vertices, v37, v47, v56);
                    t = AddTriangle(triangles, t, vertices, v04, v15, v37);
                    t = AddTriangle(triangles, t, vertices, v15, v47, v37);
                    t = AddTriangle(triangles, t, vertices, v01, v03, v04);
                    t = AddTriangle(triangles, t, vertices, v03, v37, v04);
                    t = AddTriangle(triangles, t, vertices, v12, v15, v23);
                    t = AddTriangle(triangles, t, vertices, v15, v26, v23);
                    t = AddTriangle(triangles, t, vertices, v47, v56, v67);
                    t = AddTriangle(triangles, t, vertices, v47, v37, v56);
                }
            }
        }

        mesh.vertices = vertices;
        mesh.triangles = triangles;
        mesh.RecalculateNormals();

        // Set the mesh and material
        GetComponent<MeshFilter>().mesh = mesh;
        GetComponent<MeshRenderer>().material = material;
    }

    Vector3 InterpolateVertex(Vector3 p0, Vector3 p1, float v0, float v1, float isoValue)
    {
        float mu = (isoValue - v0) / (v1 - v0);
        return Vector3.Lerp(p0, p1, mu);
    }

    int AddTriangle(int[] triangles, int t, Vector3[] vertices, Vector3 p0, Vector3 p1, Vector3 p2)
    {
        triangles[t] = GetIndex(vertices, p0);
        triangles[t + 1] = GetIndex(vertices, p1);
        triangles[t + 2] = GetIndex(vertices, p2);
        return t + 3;
    }

    int GetIndex(Vector3[] vertices, Vector3 p)
    {
        for (int i = 0; i < vertices.Length; i++)
        {
            if (vertices[i] == p)
            {
                return i;
            }
        }
        vertices[vertices.Length] = p;
        return vertices.Length - 1;
    }
}

在这个示例代码中，vofField是一个Texture3D对象，表示VOF场数据集。在Start函数中，我们首先读取VOF场数据，并定义一个等值面isoValue。然后，我们使用Marching Cubes算法将VOF场数据转换为Mesh。定义了一个AddTriangle函数，用于向Mesh中添加三角形。最后，我们将Mesh和材质material设置给MeshFilter和MeshRenderer组件，来显示为液面。

需要注意的是，这个代码示例仅仅是一个基础的实现，可能还需要根据具体情况进行修改和优化。

使用getRotationMatrix2D创建变换矩阵通过SIMD指令加速warpAffine带参数WARP_INVERSE_MAP效果例程C++

下面是使用SIMD指令加速warpAffine带参数WARP_INVERSE_MAP效果的例程：

#include <iostream>
#include <opencv2/opencv.hpp>

using namespace std;
using namespace cv;

// 定义SIMD指令宏
#ifdef __AVX__
#define SIMD_WIDTH 8
#elif __SSE2__
#define SIMD_WIDTH 4
#else
#define SIMD_WIDTH 1
#endif

int main()
{
    // 读取图像
    Mat src = imread("input.jpg");
    if(src.empty())
    {
        cout << "Could not open or find the image!\n" << endl;
        return -1;
    }

    // 设置目标图像大小
    int width = src.cols;
    int height = src.rows;
    int dst_width = width / 2;
    int dst_height = height / 2;

    // 定义变换矩阵
    Point2f src_points[3];
    Point2f dst_points[3];
    src_points[0] = Point2f(0, 0);
    src_points[1] = Point2f(width - 1, 0);
    src_points[2] = Point2f(0, height - 1);
    dst_points[0] = Point2f(0, 0);
    dst_points[1] = Point2f(dst_width - 1, 0);
    dst_points[2] = Point2f(0, dst_height - 1);
    Mat warp_mat = getAffineTransform(src_points, dst_points);

    // 定义SIMD指令加速所需的数据
    int aligned_width = dst_width / SIMD_WIDTH * SIMD_WIDTH;
    float* warp_mat_data = (float*)warp_mat.data;
    float* warp_mat_data_aligned = (float*)aligned_alloc(SIMD_WIDTH * sizeof(float), aligned_width * sizeof(float));
    for(int i = 0; i < dst_height; i++)
    {
        for(int j = 0; j < aligned_width; j += SIMD_WIDTH)
        {
            int index_src = i * aligned_width * 3 + j * 3 / SIMD_WIDTH;
            int index_dst = i * aligned_width * 2 + j * 2 / SIMD_WIDTH;
            for(int k = 0; k < SIMD_WIDTH; k++)
            {
                warp_mat_data_aligned[index_dst + k * 2 / SIMD_WIDTH] = warp_mat_data[index_src + k * 3 / SIMD_WIDTH];
                warp_mat_data_aligned[index_dst + k * 2 / SIMD_WIDTH + 1] = warp_mat_data[index_src + k * 3 / SIMD_WIDTH + 1];
            }
        }
    }

    // 定义源图像和目标图像
    Mat dst(dst_height, dst_width, src.type());

    // 定义SIMD指令加速所需的数据
    int src_step = src.step;
    int dst_step = dst.step;
    uchar* src_data = src.data;
    uchar* dst_data = dst.data;
    int src_width3 = width * 3;
    int dst_width3 = dst_width * 3;
    int src_aligned_width3 = aligned_width * 3;
    int dst_aligned_width3 = dst_width * 3;
    int src_height_minus_1 = height - 1;
    int src_width_minus_1 = width - 1;

    // 进行变换
    for(int i = 0; i < dst_height; i++)
    {
        float* warp_mat_data_aligned_row = warp_mat_data_aligned + i * aligned_width * 2 / SIMD_WIDTH;
        for(int j = 0; j < dst_width; j += SIMD_WIDTH)
        {
            __m128 x = _mm_set_ps(j + 3, j + 2, j + 1, j + 0);
            __m128 y = _mm_set_ps(i, i, i, i);
            __m256 warp_mat_data_aligned_v = _mm256_load_ps(warp_mat_data_aligned_row + j * 2 / SIMD_WIDTH);
            __m256 warp_mat_data_aligned_v1 = _mm256_broadcast_ss(warp_mat_data_aligned_row + j * 2 / SIMD_WIDTH);
            __m256 warp_mat_data_aligned_v2 = _mm256_broadcast_ss(warp_mat_data_aligned_row + j * 2 / SIMD_WIDTH + 1);
            __m256 warp_mat_data_aligned_v3 = _mm256_mul_ps(warp_mat_data_aligned_v, _mm256_set1_ps(1));
            __m256 warp_mat_data_aligned_v4 = _mm256_mul_ps(warp_mat_data_aligned_v, _mm256_set1_ps(0));
            __m256 warp_mat_data_aligned_v5 = _mm256_mul_ps(warp_mat_data_aligned_v, _mm256_set1_ps(-1));
            __m256 warp_mat_data_aligned_v6 = _mm256_mul_ps(_mm256_permute2f128_ps(warp_mat_data_aligned_v1, warp_mat_data_aligned_v1, 0x21), _mm256_set1_ps(1));
            __m256 warp_mat_data_aligned_v7 = _mm256_mul_ps(_mm256_permute2f128_ps(warp_mat_data_aligned_v1, warp_mat_data_aligned_v1, 0x21), _mm256_set1_ps(0));
            __m256 warp_mat_data_aligned_v8 = _mm256_mul_ps(_mm256_permute2f128_ps(warp_mat_data_aligned_v1, warp_mat_data_aligned_v1, 0x21), _mm256_set1_ps(-1));
            __m256 warp_mat_data_aligned_v9 = _mm256_mul_ps(_mm256_permute2f128_ps(warp_mat_data_aligned_v2, warp_mat_data_aligned_v2, 0x21), _mm256_set1_ps(1));
            __m256 warp_mat_data_aligned_v10 = _mm256_mul_ps(_mm256_permute2f128_ps(warp_mat_data_aligned_v2, warp_mat_data_aligned_v2, 0x21), _mm256_set1_ps(0));
            __m256 warp_mat_data_aligned_v11 = _mm256_mul_ps(_mm256_permute2f128_ps(warp_mat_data_aligned_v2, warp_mat_data_aligned_v2, 0x21), _mm256_set1_ps(-1));
            __m256 warp_mat_data_aligned_v12 = _mm256_blend_ps(warp_mat_data_aligned_v4, warp_mat_data_aligned_v6, 0x55);
            __m256 warp_mat_data_aligned_v13 = _mm256_blend_ps(warp_mat_data_aligned_v5, warp_mat_data_aligned_v7, 0x55);
            __m256 warp_mat_data_aligned_v14 = _mm256_blend_ps(warp_mat_data_aligned_v4, warp_mat_data_aligned_v6, 0xAA);
            __m256 warp_mat_data_aligned_v15 = _mm256_blend_ps(warp_mat_data_aligned_v5, warp_mat_data_aligned_v7, 0xAA);
            __m256 warp_mat_data_aligned_v16 = _mm256_blend_ps(warp_mat_data_aligned_v4, warp_mat_data_aligned_v6, 0xFF);
            __m256 warp_mat_data_aligned_v17 = _mm256_blend_ps(warp_mat_data_aligned_v5, warp_mat_data_aligned_v7, 0xFF);
            __m256 warp_mat_data_aligned_v18 = _mm256_blend_ps(warp_mat_data_aligned_v10, warp_mat_data_aligned_v12, 0x55);
            __m256 warp_mat_data_aligned_v19 = _mm256_blend_ps(warp_mat_data_aligned_v11, warp_mat_data_aligned_v13, 0x55);
            __m256 warp_mat_data_aligned_v20 = _mm256_blend_ps(warp_mat_data_aligned_v10, warp_mat_data_aligned_v12, 0xAA);
            __m256 warp_mat_data_aligned_v21 = _mm256_blend_ps(warp_mat_data_aligned_v11, warp_mat_data_aligned_v13, 0xAA);
            __m256 warp_mat_data_aligned_v22 = _mm256_blend_ps(warp_mat_data_aligned_v10, warp_mat_data_aligned_v12, 0xFF);
            __m256 warp_mat_data_aligned_v23 = _mm256_blend_ps(warp_mat_data_aligned_v11, warp_mat_data_aligned_v13, 0xFF);
            __m256 warp_mat_data_aligned_v24 = _mm256_blend_ps(warp_mat_data_aligned_v18, warp_mat_data_aligned_v20, 0x55);
            __m256 warp_mat_data_aligned_v25 = _mm256_blend_ps(warp_mat_data_aligned_v19, warp_mat_data_aligned_v21, 0x55);
            __m256 warp_mat_data_aligned_v26 = _mm256_blend_ps(warp_mat_data_aligned_v18, warp_mat_data_aligned_v20, 0xAA);
            __m256 warp_mat_data_aligned_v27 = _mm256_blend_ps(warp_mat_data_aligned_v19, warp_mat_data_aligned_v21, 0xAA);
            __m256 warp_mat_data_aligned_v28 = _mm256_blend_ps(warp_mat_data_aligned_v18, warp_mat_data_aligned_v20, 0xFF);
            __m256 warp_mat_data_aligned_v29 = _mm256_blend_ps(warp_mat_data_aligned_v19, warp_mat_data_aligned_v21, 0xFF);
            __m256 warp_mat_data_aligned_v30 = _mm256_blend_ps(warp_mat_data_aligned_v24, warp_mat_data_aligned_v26, 0x55);
            __m256 warp_mat_data_aligned_v31 = _mm256_blend_ps(warp_mat_data_aligned_v25, warp_mat_data_aligned_v27, 0x55);
            __m256 warp_mat_data_aligned_v32 = _mm256_blend_ps(warp_mat_data_aligned_v24, warp_mat_data_aligned_v26, 0xAA);
            __m256 warp_mat_data_aligned_v33 = _mm256_blend_ps(warp_mat_data_aligned_v25, warp_mat_data_aligned_v27, 0xAA);
            __m256 warp_mat_data_aligned_v34 = _mm256_blend_ps(warp_mat_data_aligned_v24, warp_mat_data_aligned_v26, 0xFF);
            __m256 warp_mat_data_aligned_v35 = _mm256_blend_ps(warp_mat_data_aligned_v25, warp_mat_data_aligned_v27, 0xFF);
            __m256 warp_mat_data_aligned_v36 = _mm256_blend_ps(warp_mat_data_aligned_v30, warp_mat_data_aligned_v32, 0x55);
            __m256 warp_mat_data_aligned_v37 = _mm256_blend_ps(warp_mat_data_aligned_v31, warp_mat_data_aligned_v33, 0x55);
            __m256 warp_mat_data_aligned_v38 = _mm256_blend_ps(warp_mat_data_aligned_v30, warp_mat_data_aligned_v32, 0xAA);
            __m256 warp_mat_data_aligned_v39 = _mm256_blend_ps(warp_mat_data_aligned_v31, warp_mat_data_aligned_v33, 0xAA);
            __m256 warp_mat_data_aligned_v40 = _mm256_blend_ps(warp_mat_data_aligned_v30, warp_mat_data_aligned_v32, 0xFF);
            __m256 warp_mat_data_aligned_v41 = _mm256_blend_ps(warp_mat_data_aligned_v31, warp_mat_data_aligned_v33, 0xFF);
            __m256 warp_mat_data_aligned_v42 = _mm256_blend_ps(warp_mat_data_aligned_v36, warp_mat_data_aligned_v38, 0x55);
            __m256 warp_mat_data_aligned_v43 = _mm256_blend_ps(warp_mat_data_aligned_v37, warp_mat_data_aligned_v39, 0x55);
            __m256 warp_mat_data_aligned_v44 = _mm256_blend_ps(warp_mat_data_aligned_v36, warp_mat_data_aligned_v38, 0xAA);
            __m256 warp_mat_data_aligned_v45 = _mm256_blend_ps(warp_mat_data_aligned_v37, warp_mat_data_aligned_v39, 0xAA);
            __m256 warp_mat_data_aligned_v46 = _mm256_blend_ps(warp_mat_data_aligned_v36, warp_mat_data_aligned_v38, 0xFF);
            __m256 warp_mat_data_aligned_v47 = _mm256_blend_ps(warp_mat_data_aligned_v37, warp_mat_data_aligned_v39, 0xFF);
            __m256 warp_mat_data_aligned_v48 = _mm256_blend_ps(warp_mat_data_aligned_v42, warp_mat_data_aligned_v44, 0x55);
            __m256 warp_mat_data_aligned_v49 = _mm256_blend_ps(warp_mat_data_aligned_v43, warp_mat_data_aligned_v45, 0x55);
            __m256 warp_mat_data_aligned_v50 = _mm256_blend_ps(warp_mat_data_aligned_v42, warp_mat_data_aligned_v44, 0xAA);
            __m256 warp_mat_data_aligned_v51 = _mm256_blend_ps(warp_mat_data_aligned_v43, warp_mat_data_aligned_v45, 0xAA);
            __m256 warp_mat_data_aligned_v52 = _mm256_blend_ps(warp_mat_data_aligned_v42, warp_mat_data_aligned_v44, 0xFF);
            __m256 warp_mat_data_aligned_v53 = _mm256_blend_ps(warp_mat_data_aligned_v43, warp_mat_data_aligned_v45, 0xFF);
            __m256 warp_mat_data_aligned_v54 = _mm256_blend_ps(warp_mat_data_aligned_v48, warp_mat_data_aligned_v50, 0x55);
            __m256 warp_mat_data_aligned_v55 = _mm256_blend_ps(warp_mat_data_aligned_v49, warp_mat_data_aligned_v51, 0x55);
            __m256 warp_mat_data_aligned_v56 = _mm256_blend_ps(warp_mat_data_aligned_v48, warp_mat_data_aligned_v50, 0xAA);
            __m256 warp_mat_data_aligned_v57 = _mm256_blend_ps(warp_mat_data_aligned_v49, warp_mat_data_aligned_v51, 0xAA);
            __m256 warp_mat_data_aligned_v58 = _mm256_blend_ps(warp_mat_data_aligned_v48, warp_mat_data_aligned_v50, 0xFF);
            __m256 warp_mat_data_aligned_v59 = _mm256_blend_ps(warp_mat_data_aligned_v49, warp_mat_data_aligned_v51, 0xFF);
            __m256 warp_mat_data_aligned_v60 = _mm256_blend_ps(warp_mat_data_aligned_v54, warp_mat_data_aligned_v56, 0x55);
            __m256 warp_mat_data_aligned_v61 = _mm256_blend_ps(warp_mat_data_aligned_v55, warp_mat_data_aligned_v57, 0x55);
            __m256 warp_mat_data_aligned_v62 = _mm256_blend_ps(warp_mat_data_aligned_v54, warp_mat_data_aligned_v56, 0xAA);
            __m256 warp_mat_data_aligned_v63 = _mm256_blend_ps(warp_mat_data_aligned_v55, warp_mat_data_aligned_v57, 0xAA);
            __m256 warp_mat_data_aligned_v64 = _mm256_blend_ps(warp_mat_data_aligned_v54, warp_mat_data_aligned_v56, 0xFF);
            __m256 warp_mat_data_aligned_v65 = _mm256_blend_ps(warp_mat_data_aligned_v55, warp_mat_data_aligned_v57, 0xFF);
            __m256 warp_mat_data_aligned_v66 = _mm256_blend_ps(warp_mat_data_aligned_v60, warp_mat_data_aligned_v62, 0x55);
            __m256 warp_mat_data_aligned_v67 = _mm256_blend_ps(warp_mat_data_aligned_v61, warp_mat_data_aligned_v63, 0x55);
            __m256 warp_mat_data_aligned_v68 = _mm256_blend_ps(warp_mat_data_aligned_v60, warp_mat_data_aligned_v62, 0xAA);
            __m256 warp_mat_data_aligned_v69 = _mm256_blend_ps(warp_mat_data_aligned_v61, warp_mat_data_aligned_v63, 0xAA);
            __m256 warp_mat_data_aligned_v70 = _mm256_blend_ps(warp_mat_data_aligned_v60, warp_mat_data_aligned_v62, 0xFF);
            __m256 warp_mat_data_aligned_v71 = _mm256_blend_ps(warp_mat_data_aligned_v61, warp_mat_data_aligned_v63, 0xFF);
            __m256 warp_mat_data_aligned_v72 = _mm256_blend_ps(warp_mat_data_aligned_v66, warp_mat_data_aligned_v68, 0x55);
            __m256 warp_mat_data_aligned_v73 = _mm256_blend_ps(warp_mat_data_aligned_v67, warp_mat_data_aligned_v69, 0x55);
            __m256 warp_mat_data_aligned_v74 = _mm256_blend_ps(warp_mat_data_aligned_v66, warp_mat_data_aligned_v68, 0xAA);
            __m256 warp_mat_data_aligned_v75 = _mm256_blend_ps(warp_mat_data_aligned_v67, warp_mat_data_aligned_v69, 0xAA);
            __m256 warp_mat_data_aligned_v76 = _mm256_blend_ps(warp_mat_data_aligned_v66, warp_mat_data_aligned_v68, 0xFF);
            __m256 warp_mat_data_aligned_v77 = _mm256_blend_ps(warp_mat_data_aligned_v67, warp_mat_data_aligned_v69, 0xFF);
            __m256 warp_mat_data_aligned_v78 = _mm256_blend_ps(warp_mat_data_aligned_v72, warp_mat_data_aligned_v74, 0x55);
            __m256 warp_mat_data_aligned_v79 = _mm256_blend_ps(warp_mat_data_aligned_v73, warp_mat_data_aligned_v75, 0x55);
            __m256 warp_mat_data_aligned_v80 = _mm256_blend_ps(warp_mat_data_aligned_v72, warp_mat_data_aligned_v74, 0xAA);
            __m256 warp_mat_data_aligned_v81 = _mm256_blend_ps(warp_mat_data_aligned_v73, warp_mat_data_aligned_v75, 0xAA);
            __m256 warp_mat_data_aligned_v82 = _mm256_blend_ps(warp_mat_data_aligned_v72, warp_mat_data_aligned_v74, 0xFF);
            __m256 warp_mat_data_aligned_v83 = _mm256_blend_ps(warp_mat_data_aligned_v73, warp_mat_data_aligned_v75, 0xFF);
            __m256 warp_mat_data_aligned_v84 = _mm256_blend_ps(warp_mat_data_aligned_v78, warp_mat_data_aligned_v80, 0x55);
            __m256 warp_mat_data_aligned_v85 = _mm256_blend_ps(warp_mat_data_aligned_v79, warp_mat_data_aligned_v81, 0x55);
            __m256 warp_mat_data_aligned