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In Storm 0.9.7, we've been experimenting with enabling remote JMX profiling on Storm worker processes. Heron Instances are analogous, with the exception that they run only one topology task at a time…
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Hi Keepsake Team,
I'm thinking about switching my experiment management system over to keepsake, but I had a few questions about code management that I didn't see explained in the docs.
The doc…
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Rewrite models (sklearn and pytorch, order according to priority) to utilize sacred and tensorboard for management of experiments.
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With A/B Testing or gray deployment support, we can validate configuration change in small scope before roll out to all service instances.
May I know any plan to support to?
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I have a 4090,but I can't run this code,and I set batch_size =1(set samples_per_gpu=1,workers_per_gpu=1,)
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### SPECIFIC ISSUE ENCOUNTERED
I followed the quickstart-guide from Google to run the cardboard-app. After hitting build & run, the app starts on my Android Phone, the Unity Intro shows, the HelloCar…
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Following on from the comments in #38 the first implementation of the experiment module does not **automatically** archive the plot assets associated with an experiment plan. Currently this would be a…
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The fix put in for #175 never had a test written to validate the fix actually addresses the resource leak that was assumed to be causing a `java.io.IOException: Too many open files` issue.
A test sho…
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The benchmarks are now all focused on data management. We need a use case focusing on experiments. This should have many revisions and exp refs and include:
* `dvc exp run`
* `dvc exp show`
* `dvc …
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Following the role out of the experiment module, which focused on the data model rather than usability, we were told that, when completed, the information is incredibly useful but it is also hard to f…