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I tried to run the DSpy module inside the thread it's not working...
I have used
`dspy.Module`
there I used a custom retriever module.
`elastic_rm(dspy.Retrieve)`
Can anyone give me a …
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There is one case we observed in our application, a job on parallel threads was removed and processed, and then on completion of the job, it was not deleted despite `removeOnComplete` being true.
- a…
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Pending the use of some observability from https://github.com/cockroachdb/cockroach/issues/125081, we believe that gossip callback processing can fall behind on its work due to being single threaded. …
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The current processing of audio and video files in PySubtitle is sequential, which can be slow for large files. Implementing parallel processing can significantly improve performance.
**Tasks:**
…
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Some analysis tasks can be run in parallel. This can be done in `do_all_analyses` of `common-script` but requires knowledge about which taks depend on each other. Parallel execution is already possibl…
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### Bug Description
When using `HuggingFaceEmbedding` as a stage of `IngestionPipeline` and setting `num_workers` to greater than 1, the error `AttributeError: 'HuggingFaceEmbedding' object has no …
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Dear colleagues,
I'm having some problems when try I to run my WNTR simulations with parallel processing. In sum, I'm trying to run a Water Net (".inp" EPANET file) and compute some parameters from…
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In case of dataframe based task code, it is sometimes possible to batch computation based on some grouping columns. This can be used to reduce the memory footprint (not the whole input and output data…
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Hi,
I have 800 samples to run. I have calculated that the processing may take 50 days on my system. Is there a way to break up the runs into smaller runs and then recalculate the overall statisti…
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Optimize code and enable parallel processing capabilities in Trends.Earth. This will decrease processing
times significantly. Ensure that code uses “QGSTasks” where appropriate so that tasks can mor…