OpenCL中讀取image時的座標

本文測試OpenCL中讀取image數據時關於座標的兩個問題：

1. 使用float2座標讀取
2. 使用int2座標讀取

首先完整的測試代碼以下，測試平臺爲SDM855：

#include <CL/cl.h>
#include <iostream>
#include <vector>
#include <math.h>
#include "OCL/OPPOOpenCLWrapper.h"
#include "OCL/OCLUtils.h"

#ifndef uchar
#define uchar unsigned char
#endif



const char code[] = R"(


const sampler_t samp1 = CLK_NORMALIZED_COORDS_FALSE | CLK_ADDRESS_CLAMP_TO_EDGE | CLK_FILTER_LINEAR;


__kernel void readtest(read_only image2d_t src, global uchar *dst)
{
    int2 coord = (int2)(get_global_id(0), get_global_id(1));

    if(coord.x == 0 && coord.y == 0){

        printf("(float2)(0.0, 0.0)   read:%f  \n", read_imagef(src, samp1, (float2)(0.0, 0.0) ).x * 255.0);
        printf("(float2)(0.0, 1.0)   read:%f  \n", read_imagef(src, samp1, (float2)(0.0, 1.0) ).x * 255.0);
        printf("(float2)(0.0, 1.5)   read:%f  \n", read_imagef(src, samp1, (float2)(0.0, 1.5) ).x * 255.0);
        printf("(float2)(0.0, 2.0)   read:%f  \n", read_imagef(src, samp1, (float2)(0.0, 2.0) ).x * 255.0);
        printf("(float2)(1.5, 1.5)   read:%f  \n", read_imagef(src, samp1, (float2)(1.5, 1.5) ).x * 255.0);
        printf("(float2)(0.5, 2.0)   read:%f  \n", read_imagef(src, samp1, (float2)(0.5, 2.0) ).x * 255.0);
        printf("(float2)(0.5, 2.5)   read:%f  \n", read_imagef(src, samp1, (float2)(0.5, 2.5) ).x * 255.0);
        printf("(float2)(1.0, 1.0)   read:%f  \n", read_imagef(src, samp1, (float2)(1.0, 1.0) ).x * 255.0);
        printf("(float2)(254.0, 254.0)   read:%f  \n", read_imagef(src, samp1, (float2)(254.0, 254.0) ).x * 255.0);
        printf("(float2)(255.0, 255.0)   read:%f  \n", read_imagef(src, samp1, (float2)(255.0, 255.0) ).x * 255.0);
        printf("(float2)(255.5, 255.5)   read:%f  \n", read_imagef(src, samp1, (float2)(255.5, 255.5) ).x * 255.0);
        printf("(float2)(256.0, 256.0)   read:%f  \n", read_imagef(src, samp1, (float2)(256.0, 256.0) ).x * 255.0);
        printf("(float2)(300, 300.0)   read:%f  \n", read_imagef(src, samp1, (float2)(300.0, 300.0) ).x * 255.0);

        printf("(int2)(1, 1)   read:%f  \n", read_imagef(src, samp1, (int2)(1, 1) ).x * 255.0);
        printf("(int2)(0, 0)   read:%f  \n", read_imagef(src, samp1, (int2)(0, 0) ).x * 255.0);
        printf("(int2)(1, 2)   read:%f  \n", read_imagef(src, samp1, (int2)(1, 2) ).x * 255.0);
        printf("(int2)(254, 254)   read:%f  \n", read_imagef(src, samp1, (int2)(254, 254) ).x * 255.0);
        printf("(int2)(255, 255)   read:%f  \n", read_imagef(src, samp1, (int2)(255, 255) ).x * 255.0);
        printf("(int2)(256, 256)   read:%f  \n", read_imagef(src, samp1, (int2)(256, 256) ).x * 255.0);
        printf("(int2)(257, 257)   read:%f  \n", read_imagef(src, samp1, (int2)(257, 257) ).x * 255.0);

    }

}


)";

void testsamp05()
{
    OPPOOpenCLWrapper ocl;

    cl_image_format imageformat;
    imageformat.image_channel_data_type = CL_UNORM_INT8;
    imageformat.image_channel_order = CL_R;
    cl_image_desc imagedesc;
    memset(&imagedesc, 0, sizeof(imagedesc));
    imagedesc.image_width = 256;
    imagedesc.image_height = 256;
    imagedesc.image_type = CL_MEM_OBJECT_IMAGE2D;

    std::vector<uchar> data(256*256, 0);
    for(int i = 0; i < 256; ++i){
        for(int w = 0; w < 256; ++w){
            data[i*256+w] = std::max(i, w);
        }
    }
    cl_int err;
    cl_mem src = clCreateImage(ocl.getContext(), CL_MEM_READ_WRITE | CL_MEM_COPY_HOST_PTR, &imageformat, &imagedesc, data.data(), &err);
    checkErr(err, "src");
    cl_mem dst = clCreateBuffer(ocl.getContext(), CL_MEM_READ_WRITE | CL_MEM_ALLOC_HOST_PTR, 256*256, NULL, &err);
    checkErr(err, "dst");

    const char *pcode = code;
    cl_program prog = ocl.makeProgram(&pcode, sizeof(code) / sizeof(code[0]));
    cl_kernel kernel = ocl.makeKernel(prog, "readtest");

    clSetKernelArg(kernel , 0, sizeof(src), &src);
    clSetKernelArg(kernel , 1, sizeof(dst), &dst);

    size_t globalsize[] = {256, 256}    ;
    clEnqueueNDRangeKernel(ocl.getCommandQueue(), kernel, 2, NULL, globalsize, NULL, 0, NULL, NULL);
    clFinish(ocl.getCommandQueue());

}

咱們建立一個寬高都爲256的image對象，而後其值設置爲當前寬高座標的大者。同時數據格式爲CL_UNORM_INT8，而後使用不一樣的座標去讀取image對象的值。其結果顯示以下：

(float2)(0.0, 0.0)   read:0.000000
(float2)(0.0, 1.0)   read:0.500000
(float2)(0.0, 1.5)   read:1.000000
(float2)(0.0, 2.0)   read:1.500000
(float2)(1.5, 1.5)   read:1.000000
(float2)(0.5, 2.0)   read:1.500000
(float2)(0.5, 2.5)   read:2.000000
(float2)(1.0, 1.0)   read:0.750000
(float2)(254.0, 254.0)   read:253.750000
(float2)(255.0, 255.0)   read:254.750000
(float2)(255.5, 255.5)   read:255.000000
(float2)(256.0, 256.0)   read:255.000000
(float2)(300, 300.0)   read:255.000000
(int2)(1, 1)   read:1.000000
(int2)(0, 0)   read:0.000000
(int2)(1, 2)   read:2.000000
(int2)(254, 254)   read:254.000000
(int2)(255, 255)   read:255.000000
(int2)(256, 256)   read:255.000000
(int2)(257, 257)   read:255.000000

從上面的結果咱們能夠看出得知以下信息：

1. 若是讀取的時候使用的是float2座標，假設爲座標爲(w, h)，那麼，其返回的值爲(w - 0.5, h - 0.5)處的插值結果，插值的方式爲咱們常規意義，或者在CPU代碼中對該圖像進行雙線性插值。固然這也和採樣器sampler_t對象設置爲CLK_FILTER_LINEAR有關。若是其設置爲CLK_FILTER_NEAREST，那麼確定就是爲最近鄰插值了。舉例來講，對於(float2)(1.0, 1.0)座標，其插值目標爲(1.0 - 0.5, 1.0 - 0.5)，位於(0,0), (0, 1), (1, 0), (1,1)四個像素點中間，根據雙線性插值計算。其結果即爲0.75
2. 若是讀取的時候使用的是int2座標，那麼其座標與值的關係就和CPU中處理該image同樣。