Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Performance Regression or Improvement: Pytorch image classification on 50k images of size 224 x 224 with resnet 152 with Tesla T4 GPU:mean_load_model_latency_milli_secs #109

Open
AnandInguva opened this issue Mar 17, 2023 · 0 comments

Comments

@AnandInguva
Copy link
Owner

Performance change found in the
test: Pytorch image classification on 50k images of size 224 x 224 with resnet 152 with Tesla T4 GPU 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.

timestamp: Wed Mar 15 18:39:24 2023, metric_value: 110663.89090909091
timestamp: Tue Mar 14 18:20:28 2023, metric_value: 106096.67857142857
timestamp: Mon Mar 13 18:52:40 2023, metric_value: 124759.4
timestamp: Sun Mar 12 18:17:56 2023, metric_value: 134102.17857142858
timestamp: Sat Mar 11 18:19:42 2023, metric_value: 136957.125
timestamp: Fri Mar 10 18:21:33 2023, metric_value: 152183.0892857143
timestamp: Thu Mar 9 18:26:05 2023, metric_value: 156150.64285714287
timestamp: Wed Mar 8 18:25:08 2023, metric_value: 147711.76785714287
timestamp: Tue Mar 7 18:23:57 2023, metric_value: 146152.57142857142
timestamp: Tue Mar 7 01:20:20 2023, metric_value: 152064.64285714287
timestamp: Mon Mar 6 18:24:23 2023, metric_value: 140394.9655172414 <---- Anomaly
timestamp: Sun Mar 5 18:22:04 2023, metric_value: 136059.73214285713
timestamp: Sat Mar 4 18:18:43 2023, metric_value: 135242.625

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

No branches or pull requests

1 participant