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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
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AnandInguva opened this issue
Mar 17, 2023
· 0 comments
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
The text was updated successfully, but these errors were encountered:
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
<---- Anomalytimestamp: Sun Mar 5 18:22:04 2023, metric_value:
136059.73214285713
timestamp: Sat Mar 4 18:18:43 2023, metric_value:
135242.625
The text was updated successfully, but these errors were encountered: