mirror of
https://github.com/vortexgpgpu/vortex.git
synced 2025-04-23 13:27:29 -04:00
251 lines
7.9 KiB
C++
251 lines
7.9 KiB
C++
#include <stdio.h>
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#include <stdlib.h>
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#include <assert.h>
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#include <CL/opencl.h>
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#include <string.h>
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#include <time.h>
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#include <unistd.h>
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#include <chrono>
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#include <vector>
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#define FLOAT_ULP 6
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#define KERNEL_NAME "conv3"
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#define CL_CHECK(_expr) \
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do { \
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cl_int _err = _expr; \
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if (_err == CL_SUCCESS) \
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break; \
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printf("OpenCL Error: '%s' returned %d!\n", #_expr, (int)_err); \
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cleanup(); \
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exit(-1); \
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} while (0)
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#define CL_CHECK2(_expr) \
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({ \
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cl_int _err = CL_INVALID_VALUE; \
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decltype(_expr) _ret = _expr; \
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if (_err != CL_SUCCESS) { \
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printf("OpenCL Error: '%s' returned %d!\n", #_expr, (int)_err); \
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cleanup(); \
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exit(-1); \
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} \
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_ret; \
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})
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static int read_kernel_file(const char* filename, uint8_t** data, size_t* size) {
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if (nullptr == filename || nullptr == data || 0 == size)
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return -1;
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FILE* fp = fopen(filename, "r");
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if (NULL == fp) {
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fprintf(stderr, "Failed to load kernel.");
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return -1;
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}
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fseek(fp , 0 , SEEK_END);
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long fsize = ftell(fp);
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rewind(fp);
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*data = (uint8_t*)malloc(fsize);
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*size = fread(*data, 1, fsize, fp);
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fclose(fp);
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return 0;
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}
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static bool compare_equal(float a, float b) {
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union fi_t { float f; int32_t i; };
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fi_t fa, fb;
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fa.f = a;
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fb.f = b;
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auto d = std::abs(fa.i - fb.i);
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return d <= FLOAT_ULP;
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}
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static void convolution_cpu(float *O, float *I, float *W, int32_t width, int32_t height) {
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int paddedWidth = width + 2;
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for (int32_t y = 0; y < height; ++y) {
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for (int32_t x = 0; x < width; ++x) {
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int paddedY = y + 1;
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int paddedX = x + 1;
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float sum = 0.0f;
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for (int32_t ky = -1; ky <= 1; ++ky) {
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for (int32_t kx = -1; kx <= 1; ++kx) {
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int32_t iy = paddedY + ky;
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int32_t ix = paddedX + kx;
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float value = I[iy * paddedWidth + ix];
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float weight = W[(ky + 1) * 3 + (kx + 1)];
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sum += value * weight;
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}
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}
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O[y * width + x] = sum;
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}
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}
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}
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cl_device_id device_id = NULL;
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cl_context context = NULL;
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cl_command_queue commandQueue = NULL;
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cl_program program = NULL;
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cl_kernel kernel = NULL;
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cl_mem i_memobj = NULL;
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cl_mem w_memobj = NULL;
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cl_mem o_memobj = NULL;
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uint8_t* kernel_bin = NULL;
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static void cleanup() {
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if (commandQueue) clReleaseCommandQueue(commandQueue);
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if (kernel) clReleaseKernel(kernel);
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if (program) clReleaseProgram(program);
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if (i_memobj) clReleaseMemObject(i_memobj);
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if (w_memobj) clReleaseMemObject(w_memobj);
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if (o_memobj) clReleaseMemObject(o_memobj);
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if (context) clReleaseContext(context);
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if (device_id) clReleaseDevice(device_id);
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if (kernel_bin) free(kernel_bin);
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}
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int size = 32;
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static void show_usage() {
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printf("Usage: [-n size] [-h: help]\n");
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}
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static void parse_args(int argc, char **argv) {
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int c;
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while ((c = getopt(argc, argv, "n:h")) != -1) {
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switch (c) {
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case 'n':
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size = atoi(optarg);
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break;
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case 'h':
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show_usage();
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exit(0);
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break;
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default:
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show_usage();
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exit(-1);
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}
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}
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}
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int main (int argc, char **argv) {
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// parse command arguments
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parse_args(argc, argv);
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printf("Matrix size=%d\n", size);
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uint32_t o_points = size * size;
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uint32_t i_points = (size+2) * (size+2);
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uint32_t w_points = 3 * 3;
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cl_platform_id platform_id;
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size_t kernel_size;
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// Getting platform and device information
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CL_CHECK(clGetPlatformIDs(1, &platform_id, NULL));
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CL_CHECK(clGetDeviceIDs(platform_id, CL_DEVICE_TYPE_DEFAULT, 1, &device_id, NULL));
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printf("Create context\n");
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context = CL_CHECK2(clCreateContext(NULL, 1, &device_id, NULL, NULL, &_err));
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char device_string[1024];
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clGetDeviceInfo(device_id, CL_DEVICE_NAME, sizeof(device_string), &device_string, NULL);
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printf("Using device: %s\n", device_string);
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printf("Allocate device buffers\n");
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size_t i_nbytes = i_points * sizeof(float);
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size_t w_nbytes = w_points * sizeof(float);
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size_t o_nbytes = o_points * sizeof(float);
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i_memobj = CL_CHECK2(clCreateBuffer(context, CL_MEM_READ_ONLY, i_nbytes, NULL, &_err));
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w_memobj = CL_CHECK2(clCreateBuffer(context, CL_MEM_READ_ONLY, w_nbytes, NULL, &_err));
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o_memobj = CL_CHECK2(clCreateBuffer(context, CL_MEM_WRITE_ONLY, o_nbytes, NULL, &_err));
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printf("Create program from kernel source\n");
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if (0 != read_kernel_file("kernel.cl", &kernel_bin, &kernel_size))
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return -1;
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program = CL_CHECK2(clCreateProgramWithSource(
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context, 1, (const char**)&kernel_bin, &kernel_size, &_err));
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if (program == NULL) {
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cleanup();
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return -1;
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}
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// Build program
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CL_CHECK(clBuildProgram(program, 1, &device_id, NULL, NULL, NULL));
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// Create kernel
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kernel = CL_CHECK2(clCreateKernel(program, KERNEL_NAME, &_err));
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size_t global_size[2] = {size, size};
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size_t local_size[2] = {1, 1};
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// Set kernel arguments
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CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), (void *)&o_memobj));
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CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), (void *)&i_memobj));
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CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem), (void *)&w_memobj));
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CL_CHECK(clSetKernelArg(kernel, 3, sizeof(uint32_t), &size));
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CL_CHECK(clSetKernelArg(kernel, 4, sizeof(uint32_t), &size));
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// Allocate memories for input arrays and output arrays.
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std::vector<float> h_i(i_points);
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std::vector<float> h_w(w_points);
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std::vector<float> h_o(o_points, 0.0f);
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// Generate input values
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for (int32_t y = -1; y < size+1; ++y) {
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for (int32_t x = -1; x < size+1; ++x) {
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if (x >= 0 && x < size && y >= 0 && y < size) {
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h_i[(y+1) * (size+2) + (x+1)] = static_cast<float>(rand()) / RAND_MAX;
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} else {
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h_i[(y+1) * (size+2) + (x+1)] = 0;
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}
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}
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}
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for (uint32_t i = 0; i < w_points; ++i) {
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h_w[i] = static_cast<float>(rand()) / RAND_MAX;
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}
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// Creating command queue
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commandQueue = CL_CHECK2(clCreateCommandQueue(context, device_id, 0, &_err));
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printf("Upload source buffers\n");
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CL_CHECK(clEnqueueWriteBuffer(commandQueue, i_memobj, CL_TRUE, 0, i_nbytes, h_i.data(), 0, NULL, NULL));
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CL_CHECK(clEnqueueWriteBuffer(commandQueue, w_memobj, CL_TRUE, 0, w_nbytes, h_w.data(), 0, NULL, NULL));
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printf("Execute the kernel\n");
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auto time_start = std::chrono::high_resolution_clock::now();
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CL_CHECK(clEnqueueNDRangeKernel(commandQueue, kernel, 2, NULL, global_size, local_size, 0, NULL, NULL));
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CL_CHECK(clFinish(commandQueue));
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auto time_end = std::chrono::high_resolution_clock::now();
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double elapsed = std::chrono::duration_cast<std::chrono::milliseconds>(time_end - time_start).count();
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printf("Elapsed time: %lg ms\n", elapsed);
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printf("Download destination buffer\n");
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CL_CHECK(clEnqueueReadBuffer(commandQueue, o_memobj, CL_TRUE, 0, o_nbytes, h_o.data(), 0, NULL, NULL));
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printf("Verify result\n");
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std::vector<float> ref_vec(o_points);
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convolution_cpu(ref_vec.data(), h_i.data(), h_w.data(), size, size);
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int errors = 0;
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for (uint32_t i = 0; i < o_points; ++i) {
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if (!compare_equal(h_o[i], ref_vec[i])) {
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if (errors < 100)
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printf("*** error: [%d] expected=%f, actual=%f\n", i, ref_vec[i], h_o[i]);
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++errors;
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}
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}
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if (errors != 0) {
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printf("FAILED! - %d errors\n", errors);
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} else {
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printf("PASSED!\n");
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}
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// Clean up
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cleanup();
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return errors;
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}
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