Function init_learner

libCacheSim/cache/eviction/GLCache/init.c:52–84

}

void init_learner(cache_t *cache) {
  GLCache_params_t *params = cache->eviction_params;

  learner_t *l = &params->learner;

  l->n_feature = N_FEATURE_TIME_WINDOW * 3 + N_FEATURE_NORMAL;
  l->pred = NULL;
  l->train_x = NULL;
  l->train_matrix_n_row = 0;
  l->valid_matrix_n_row = 0;
  l->inference_x = NULL;
  l->inf_matrix_n_row = 0;

  l->n_train = -1;
  l->n_inference = 0;

  l->train_matrix_n_row = N_MAX_TRAINING_DATA;
  l->train_x = my_malloc_n(feature_t, l->train_matrix_n_row * l->n_feature);
  memset(l->train_x, 0,
         sizeof(feature_t) * l->train_matrix_n_row * l->n_feature);
  l->train_y = my_malloc_n(pred_t, l->train_matrix_n_row);
  memset(l->train_y, 0, sizeof(pred_t) * l->train_matrix_n_row);
  l->train_y_oracle = my_malloc_n(pred_t, l->train_matrix_n_row);
  memset(l->train_y_oracle, 0, sizeof(pred_t) * l->train_matrix_n_row);
  l->valid_matrix_n_row = l->train_matrix_n_row / 10;
  l->valid_x = my_malloc_n(feature_t, l->valid_matrix_n_row * l->n_feature);
  memset(l->valid_x, 0,
         sizeof(feature_t) * l->valid_matrix_n_row * l->n_feature);
  l->valid_y = my_malloc_n(train_y_t, l->valid_matrix_n_row);
  memset(l->valid_y, 0, sizeof(train_y_t) * l->valid_matrix_n_row);
  // l->retrain_intvl = retrain_intvl;
  l->last_train_rtime = 0;
}

static void init_buckets(cache_t *cache) {
  GLCache_params_t *params = cache->eviction_params;