dragonpilot/selfdrive/modeld/test/dmon_lag/repro.cc

// clang++ -mcpu=cortex-a57 -O2 repro.cc

#include <vector>
#include <time.h>
#include <sched.h>

static inline double millis_since_boot() {
  struct timespec t;
  clock_gettime(CLOCK_BOOTTIME, &t);
  return t.tv_sec * 1000.0 + t.tv_nsec * 1e-6;
}

int set_realtime_priority(int level) {
  long tid = getpid();

  // should match python using chrt
  struct sched_param sa;
  memset(&sa, 0, sizeof(sa));
  sa.sched_priority = level;
  return sched_setscheduler(tid, SCHED_FIFO, &sa);
}

#define MODEL_WIDTH 320
#define MODEL_HEIGHT 640
#define input_lambda(x) (x - 128.f) * 0.0078125f

template <class T>
static inline T *get_buffer(std::vector<T> &buf, const size_t size) {
  if (buf.size() < size) {
    buf.resize(size);
  }
  return buf.data();
}

void inner(uint8_t *resized_buf, float *net_input_buf) {
  int resized_width = MODEL_WIDTH;
  int resized_height = MODEL_HEIGHT;

  // one shot conversion, O(n) anyway
  // yuvframe2tensor, normalize
  for (int r = 0; r < MODEL_HEIGHT/2; r++) {
    for (int c = 0; c < MODEL_WIDTH/2; c++) {
      // Y_ul
      net_input_buf[(c*MODEL_HEIGHT/2) + r] = input_lambda(resized_buf[(2*r*resized_width) + (2*c)]);
      // Y_ur
      net_input_buf[(c*MODEL_HEIGHT/2) + r + (2*(MODEL_WIDTH/2)*(MODEL_HEIGHT/2))] = input_lambda(resized_buf[(2*r*resized_width) + (2*c+1)]);
      // Y_dl
      net_input_buf[(c*MODEL_HEIGHT/2) + r + ((MODEL_WIDTH/2)*(MODEL_HEIGHT/2))] = input_lambda(resized_buf[(2*r*resized_width+1) + (2*c)]);
      // Y_dr
      net_input_buf[(c*MODEL_HEIGHT/2) + r + (3*(MODEL_WIDTH/2)*(MODEL_HEIGHT/2))] = input_lambda(resized_buf[(2*r*resized_width+1) + (2*c+1)]);
      // U
      net_input_buf[(c*MODEL_HEIGHT/2) + r + (4*(MODEL_WIDTH/2)*(MODEL_HEIGHT/2))] = input_lambda(resized_buf[(resized_width*resized_height) + (r*resized_width/2) + c]);
      // V
      net_input_buf[(c*MODEL_HEIGHT/2) + r + (5*(MODEL_WIDTH/2)*(MODEL_HEIGHT/2))] = input_lambda(resized_buf[(resized_width*resized_height) + ((resized_width/2)*(resized_height/2)) + (r*resized_width/2) + c]);
    }
  }
}

float trial() {
  std::vector<uint8_t> vec_resized_buf;
  std::vector<float> vec_net_input_buf;

  int resized_width = MODEL_WIDTH;
  int resized_height = MODEL_HEIGHT;
  uint8_t *resized_buf = get_buffer(vec_resized_buf, resized_width*resized_height*3/2);

  int yuv_buf_len = (MODEL_WIDTH/2) * (MODEL_HEIGHT/2) * 6; // Y|u|v -> y|y|y|y|u|v
  float *net_input_buf = get_buffer(vec_net_input_buf, yuv_buf_len);

  float avg = 0.0;
  for (int i = 0; i < 20; i++) {
    //__builtin___clear_cache((char*)resized_buf, (char*)resized_buf + (resized_width*resized_height*3/2));
    //__builtin___clear_cache((char*)net_input_buf, (char*)net_input_buf + yuv_buf_len);

    double s4 = millis_since_boot();
    inner(resized_buf, net_input_buf);
    double s5 = millis_since_boot();
    avg += s5-s4;
  }

  avg /= 20;
  if (avg > 5) {
    printf("HIT %f\n", avg);
    printf("BAD\n");

    for (int i = 0; i < 200; i++) {
      //__builtin___clear_cache((char*)resized_buf, (char*)resized_buf + (resized_width*resized_height*3/2));
      //__builtin___clear_cache((char*)net_input_buf, (char*)net_input_buf + yuv_buf_len);

      double s4 = millis_since_boot();
      inner(resized_buf, net_input_buf);
      double s5 = millis_since_boot();
      printf("%.2f   ", s5-s4);
    }
    printf("\n");

    exit(0);
  }
  return avg;
}

int main() {
  set_realtime_priority(51);

  while (1) {
    float ret = trial();
    printf("got %f\n", ret);
  }
}