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This commit is contained in:
Siarhei Fedartsou 2024-06-16 14:00:17 +02:00
parent d4aad4f53e
commit aa9b846206
1 changed files with 3 additions and 1 deletions
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scripts/ci/e2e_benchmark.py
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@ -133,7 +133,9 @@ def main():
print('Shape: ', all_times.shape) print('Shape: ', all_times.shape)
total_time, total_ci, total_best = calculate_confidence_interval(np.sum(all_times, axis=1)) total_time, total_ci, total_best = calculate_confidence_interval(np.sum(all_times, axis=1))
ops_per_sec, ops_per_sec_ci, ops_per_sec_best = calculate_confidence_interval(len(all_times[0]) / np.sum(all_times * 1000, axis=1)) print('Ops: ', float(all_times.shape[1]) / np.sum(all_times * 1000, axis=1))
ops_per_sec, ops_per_sec_ci, ops_per_sec_best = calculate_confidence_interval(float(all_times.shape[1]) / np.sum(all_times * 1000, axis=1))
min_time, min_ci, _ = calculate_confidence_interval(np.min(all_times, axis=1)) min_time, min_ci, _ = calculate_confidence_interval(np.min(all_times, axis=1))
mean_time, mean_ci, _ = calculate_confidence_interval(np.mean(all_times, axis=1)) mean_time, mean_ci, _ = calculate_confidence_interval(np.mean(all_times, axis=1))
median_time, median_ci, _ = calculate_confidence_interval(np.median(all_times, axis=1)) median_time, median_ci, _ = calculate_confidence_interval(np.median(all_times, axis=1))