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audience/technicalIssue primarily for technical review and service.Issue primarily for technical review and service.kind/enhancementNew feature or requestNew feature or requesttraige/good first issueGood for newcomersGood for newcomerstriage/high-priority
Description
Kind of issue: enhancement
The problem:
When a Cerebros NAS task is running, there is not a global progress update. We get a progress update on a per-model basis from TensorFlow, but on a global / "all models to be completed basis", we are completely in the dark unless we count the models as they run. It would be ideal to have a sense of how far along we are and how long we need to wait, so we can make continue / abort decisions.
Implementation: The for loop in the number of moieties to try:
replace:
for i in np.arange(...)
With
tqdm.tqdm(np.arange(...), desc="Running NAS", colour="#16ceeb")]
Suggested Labels kind/enhancement, priority/high
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audience/technicalIssue primarily for technical review and service.Issue primarily for technical review and service.kind/enhancementNew feature or requestNew feature or requesttraige/good first issueGood for newcomersGood for newcomerstriage/high-priority