Method ToString

tensorflow/core/grappler/costs/utils.cc:362–408

}

string TensorSizeHistogram::ToString() const {
  string r;
  char buf[200];
  snprintf(buf, sizeof(buf), "Count: %lld, Average: ", num_elem_);
  r.append(buf);
  r.append(strings::HumanReadableNumBytes(Average()));
  r.append(", Min: ");
  r.append(strings::HumanReadableNumBytes(min_));
  r.append(", Max: ");
  r.append(strings::HumanReadableNumBytes(max_));
  r.append("\n------------------------------------------------------\n");
  const double mult = num_elem_ > 0 ? 100.0 / num_elem_ : 0.0;
  uint64 cumul_sum = 0;

  const int size_string_width = 12;
  for (int i = 0; i < buckets_.size(); i++) {
    if (buckets_[i] == 0) continue;
    cumul_sum += buckets_[i];
    r.append("[ ");
    if (i == 0) {
      r.append(size_string_width - 2, ' ');
      r.append("0B");
    } else {
      uint64 left = 1ULL << (i - 1);
      const auto left_string = strings::HumanReadableNumBytes(left);
      r.append(size_string_width - left_string.size(), ' ');
      r.append(left_string);
    }
    r.append(", ");
    uint64 right = 1ULL << i;
    const auto right_string = strings::HumanReadableNumBytes(right);
    r.append(size_string_width - right_string.size(), ' ');
    r.append(right_string);
    snprintf(buf, sizeof(buf), ") %7lld %7.3f%% %7.3f%% ",
             buckets_[i],         // count
             mult * buckets_[i],  // percentage
             mult * cumul_sum);   // cum percentage
    r.append(buf);

    // Add hash marks based on percentage; 40 marks for 100%.
    auto marks = static_cast<int>(
        (static_cast<double>(40 * buckets_[i] + (num_elem_ >> 1)) / num_elem_));
    r.append(marks, '#');
    r.push_back('\n');
  }
  return r;
}

const int TensorSizeHistogram::Index(const uint64 value) const {
  // Log2Floor64 returns -1 for 0, 0 for 1, 1 for 2-3, 2 for 4-7, ...