|
89 | 89 | hud_info={ |
90 | 90 | "url": "https://hud.pytorch.org/benchmark/v3/dashboard/torchao_micro_api_benchmark", |
91 | 91 | }, |
92 | | - # set baseline from past 4-8 days, and compare with the lastest 4 day |
| 92 | + # set baseline from past 3-6 days, and compare with the lastest 4 day |
93 | 93 | policy=Policy( |
94 | 94 | frequency=Frequency(value=1, unit="days"), |
95 | 95 | range=RangeConfig( |
96 | | - baseline=DayRangeWindow(value=4), |
97 | | - comparison=DayRangeWindow(value=4), |
| 96 | + baseline=DayRangeWindow(value=3), |
| 97 | + comparison=DayRangeWindow(value=3), |
98 | 98 | ), |
99 | 99 | metrics={ |
100 | 100 | "bfloat16 fwd time (ms)": RegressionPolicy( |
|
152 | 152 | hud_info={ |
153 | 153 | "url": "https://hud.pytorch.org/benchmark/v3/dashboard/pytorch_operator_microbenchmark", |
154 | 154 | }, |
155 | | - # set baseline from past 4-8 days, and compare with the lastest 4 day |
| 155 | + # set baseline from past 3-6 days, and compare with the lastest 4 day |
156 | 156 | policy=Policy( |
157 | 157 | frequency=Frequency(value=1, unit="days"), |
158 | 158 | range=RangeConfig( |
159 | | - baseline=DayRangeWindow(value=4), |
160 | | - comparison=DayRangeWindow(value=4), |
| 159 | + baseline=DayRangeWindow(value=3), |
| 160 | + comparison=DayRangeWindow(value=3), |
161 | 161 | ), |
162 | 162 | metrics={ |
163 | 163 | "latency": RegressionPolicy( |
|
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