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Hi all,
q1) what is the reason behind focusing on T_eff and not on Gpts/s as commonly used in papers reporting stencil performance?
q2) Figure 2 shows that using the math-close notation, perform…
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Part of the appeal of using neural networks for real-time detection is their comparatively small compute footprint. Any publication on their efficacy should show this explicitly by showing how through…
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- Part of dask/distributed#7665
In the demo of dask/distributed#7586, you can spot "I/O" time in the collected metrics. This was possible by decorating I/O heavy dask/dask functions:
```patch
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**Is your feature request related to a problem? Please describe.**
#376 => Going the way of the user being able to define the individual metrics he wants and segment into periods for all kind of metr…
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Implement the Reporting page based on the approved mockup. Ensure it includes sections for generating various types of reports based on financial data, staff performance, inventory status, and sales a…
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## What feature would you like to see?
When using Firebase Performance in my app, I see we have all screens tracked under the same screen name, making it unusuable since it aggregates all scree…
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A customer requested that CockroachDB expose `sql_exec_latency` and `round_trip_latency` on a per application basis. With recent work to decouple prometheus from our internal timeseries system, it may…
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Miners have a strong desire to know how their node is doing in terms of money earned, deals made, etc.
I'm not 100% sure where this should live, but it definitely relates to the markets, so i'm ope…
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```python
# setup loop with TQDM and dataloader
loop = tqdm(test_dl, leave=True)
# setup epoch's metrics
metrics = {'losses': [], 'accuracy': [], 'AUC': []}
for step, (img1, img2, labels) in enum…
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The goal is to be able to segment only traffic with very slow load times to investigate site performance issues (and/or other network issues).
So we could introduce some new Segment(s) that help se…