Performance Regression or Improvement: apache_beam_testing_benchmarks_inference_pytorch_image_classification_benchmarks_15_mean_load_model_latency_milli_secs:mean_load_model_latency_milli_secs

[AnandInguva]

Affected metric: mean_load_model_latency_milli_secs

timestamp: Thu Oct 20 17:06:18 2022, metric_value: 120862.83529411764
timestamp: Wed Oct 19 17:01:07 2022, metric_value: 124964.62962962964
timestamp: Tue Oct 18 16:57:38 2022, metric_value: 121160.46913580247
timestamp: Mon Oct 17 17:10:41 2022, metric_value: 162701.8260869565
timestamp: Sun Oct 16 16:55:17 2022, metric_value: 104827.4625
timestamp: Sat Oct 15 16:49:05 2022, metric_value: 106417.73267326732
timestamp: Fri Oct 14 20:38:17 2022, metric_value: 123100.77906976744
timestamp: Fri Oct 14 17:00:38 2022, metric_value: 122012.8375
timestamp: Thu Oct 13 16:54:54 2022, metric_value: 126506.87804878049
timestamp: Wed Oct 12 16:57:40 2022, metric_value: 122344.3734939759
timestamp: Tue Oct 11 16:59:35 2022, metric_value: 130584.31818181818 <---- Anomaly
timestamp: Mon Oct 10 17:07:44 2022, metric_value: 113059.78205128205
timestamp: Sun Oct 9 16:54:18 2022, metric_value: 100019.20987654322
timestamp: Sat Oct 8 16:53:27 2022, metric_value: 112142.46153846153
timestamp: Fri Oct 7 16:55:07 2022, metric_value: 86159.09411764707
timestamp: Thu Oct 6 16:58:32 2022, metric_value: 91143.92
timestamp: Wed Oct 5 16:57:12 2022, metric_value: 90483.18478260869
timestamp: Tue Oct 4 17:04:20 2022, metric_value: 103199.88461538461
timestamp: Mon Oct 3 16:53:38 2022, metric_value: 112076.75308641975
timestamp: Sun Oct 2 16:55:40 2022, metric_value: 83415.18666666666
timestamp: Sat Oct 1 16:52:44 2022, metric_value: 111742.79207920792
timestamp: Fri Sep 30 16:53:55 2022, metric_value: 94316.90697674418