Performance Regression or Improvement: pytorch_image_classification_benchmarks-resnet152-GPU-mean_load_model_latency_milli_secs:mean_load_model_latency_milli_secs

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Performance change found in the
test: pytorch_image_classification_benchmarks-resnet152-GPU-mean_load_model_latency_milli_secs for the metric: mean_load_model_latency_milli_secs.

For more information on how to triage the alerts, please look at
Triage performance alert issues section of the README.

Test description: Pytorch image classification on 50k images of size 224 x 224 with resnet 152 with Tesla T4 GPU.
Test link -

beam/.test-infra/jenkins/job_InferenceBenchmarkTests_Python.groovy

Line 151 in 42d0a6e

test : 'apache_beam.testing.benchmarks.inference.pytorch_image_classification_benchmarks',

Test dashboard - http://metrics.beam.apache.org/d/ZpS8Uf44z/python-ml-runinference-benchmarks?orgId=1&viewPanel=7

timestamp: Fri Jul 17 10:18:22 2026, metric_value: 126438.93
timestamp: Thu Jul 16 11:02:44 2026, metric_value: 127597.95
timestamp: Wed Jul 15 11:18:41 2026, metric_value: 132462.05
timestamp: Tue Jul 14 11:15:32 2026, metric_value: 136065.18 <---- Anomaly
timestamp: Mon Jul 13 10:48:37 2026, metric_value: 120508.23
timestamp: Sun Jul 12 10:25:31 2026, metric_value: 122502.82
timestamp: Sat Jul 11 10:10:43 2026, metric_value: 117655.37
timestamp: Fri Jul 10 10:58:22 2026, metric_value: 119218.48
timestamp: Thu Jul  9 10:50:40 2026, metric_value: 123824.00
timestamp: Wed Jul  8 10:49:09 2026, metric_value: 123250.77
timestamp: Wed Jul  8 02:43:33 2026, metric_value: 123558.67
timestamp: Tue Jul  7 11:18:55 2026, metric_value: 133004.28
timestamp: Mon Jul  6 11:19:13 2026, metric_value: 127438.88
timestamp: Sun Jul  5 11:06:56 2026, metric_value: 119981.35