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Calculate confidence interval for benchmark measurements

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This commit is contained in:
Siarhei Fedartsou 2024-06-16 11:06:26 +02:00
parent 91459df87e
commit 3215cabf76
1 changed files with 2 additions and 2 deletions
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scripts/ci/e2e_benchmark.py
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@ -130,7 +130,7 @@ def main():
print('Shape: ', all_times.shape) print('Shape: ', all_times.shape)
total_time, total_ci, total_min = calculate_confidence_interval(np.sum(all_times, axis=1)) total_time, total_ci, total_best = calculate_confidence_interval(np.sum(all_times, 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))
@ -138,7 +138,7 @@ def main():
perc_99_time, perc_99_ci, _ = calculate_confidence_interval(np.percentile(all_times, 99, axis=1)) perc_99_time, perc_99_ci, _ = calculate_confidence_interval(np.percentile(all_times, 99, axis=1))
max_time, max_ci, _ = calculate_confidence_interval(np.max(all_times, axis=1)) max_time, max_ci, _ = calculate_confidence_interval(np.max(all_times, axis=1))
print(f'Total: {total_time:.2f}ms ± {total_ci:.2f}ms. Min: {total_min:.2f}ms') print(f'Total: {total_time:.2f}ms ± {total_ci:.2f}ms. Best: {total_best:.2f}ms')
print(f"Min time: {min_time:.2f}ms ± {min_ci:.2f}ms") print(f"Min time: {min_time:.2f}ms ± {min_ci:.2f}ms")
print(f"Mean time: {mean_time:.2f}ms ± {mean_ci:.2f}ms") print(f"Mean time: {mean_time:.2f}ms ± {mean_ci:.2f}ms")
print(f"Median time: {median_time:.2f}ms ± {median_ci:.2f}ms") print(f"Median time: {median_time:.2f}ms ± {median_ci:.2f}ms")