Performance Regression or Improvement: Pytorch image classification on 50k images of size 224 x 224 with resnet 152 with Tesla T4 GPU:mean_inference_batch_latency_micro_secs

[AnandInguva]

Performance change found in the
test: Pytorch image classification on 50k images of size 224 x 224 with resnet 152 with Tesla T4 GPU:apache_beam.testing.benchmarks.inference.pytorch_image_classification_benchmarks for the metric: mean_inference_batch_latency_micro_secs.

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timestamp: Mon May 8 20:21:00 2023, metric_value: `351051.74592690443` timestamp: Sun May 7 20:09:42 2023, metric_value: `373425.0474158369` timestamp: Sat May 6 20:12:19 2023, metric_value: `242029.10829268294` timestamp: Thu May 4 18:12:51 2023, metric_value: `361223.52659574465` timestamp: Wed May 3 18:22:09 2023, metric_value: `328118.64653425216` timestamp: Tue May 2 18:14:51 2023, metric_value: `424903.4859154929` timestamp: Mon May 1 18:14:12 2023, metric_value: `387124.80579584773` timestamp: Sun Apr 30 18:09:14 2023, metric_value: `306414.3679245283` timestamp: Sat Apr 29 18:14:43 2023, metric_value: `380149.34958979033` timestamp: Fri Apr 28 18:11:05 2023, metric_value: `358877.55455659993` timestamp: Thu Apr 27 18:19:19 2023, metric_value: `403779.09769008664` <---- Anomaly timestamp: Wed Apr 26 18:34:08 2023, metric_value: `71642.43726750085` timestamp: Tue Apr 25 18:36:30 2023, metric_value: `78412.06520314548` timestamp: Mon Apr 24 18:33:33 2023, metric_value: `72853.56342609324` timestamp: Sun Apr 23 18:29:02 2023, metric_value: `79737.66775956284` timestamp: Sat Apr 22 18:32:37 2023, metric_value: `83166.35733538699` timestamp: Fri Apr 21 18:53:30 2023, metric_value: `72210.17876039304` timestamp: Wed Apr 19 18:37:05 2023, metric_value: `79859.03033666297` timestamp: Tue Apr 18 18:54:55 2023, metric_value: `72710.99006387508` timestamp: Mon Apr 17 18:41:13 2023, metric_value: `72510.55364642994` timestamp: Sun Apr 16 18:25:01 2023, metric_value: `66393.77158671587`