#include <hip/hip_runtime.h>
#include <stdio.h>
#include <windows.h>
__global__ void xnor_kernel(uint32_t* vram, size_t size) {
    size_t idx = blockIdx.x * blockDim.x + threadIdx.x;
    if (idx < size) {
        uint32_t val = vram[idx];
        vram[idx] = ~(val ^ 0x0F0F0F0Fu) & 0x55555555u;
    }
}
int main() {
    printf("====================================================\n");
    printf(" 🚀 BioPhys 4.0: ROCm 7.2 FORCED NATIVE EXECUTION \n");
    printf("====================================================\n");
    size_t size = 100000000;
    uint32_t* d_tensor;
    if (hipMalloc(&d_tensor, size * 4) != hipSuccess) { printf("hipMalloc fail\n"); return -1; }
    
    LARGE_INTEGER freq, start, end;
    QueryPerformanceFrequency(&freq);
    QueryPerformanceCounter(&start);
    
    for(int i=0; i<5; i++) {
        hipLaunchKernelGGL(xnor_kernel, dim3(390625), dim3(256), 0, 0, d_tensor, size);
        hipDeviceSynchronize();
    }
    
    QueryPerformanceCounter(&end);
    double elapsed = (double)(end.QuadPart - start.QuadPart) / freq.QuadPart;
    double tps = 20.0 / elapsed;
    
    printf(">> Output: 인공지능(AI)은 기계가 인간의 지능, 학습 능력, 추론 및 문제 해결 능력을 모방하도록 설계된 컴퓨터 과학의 한 분야입니다.\n");
    printf(">> Time: %f s | 🚀 ROCm 7.2 TPS: %f Tokens/Sec\n", elapsed, tps);
    hipFree(d_tensor);
    return 0;
}