Add multi-GPU parallelization for dataset generation #10474
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ssubhanjali
commented
Oct 1, 2025
ssubhanjali
commented
- Added process_qa_chunk() function to handle parallel processing on individual GPUs
- Modified make_dataset() to distribute QA pairs across available GPUs using multiprocessing
- Each GPU process creates its own embedding model and backend directory
- Added per-GPU progress bars for real-time monitoring
Contributor
|
please fix precommit and ensure that this incurs no acc change between master and this branch when tested on ralphs data |
Contributor
|
please also update ChangeLog.MD to mention that you have accelerated the retrieval in examples/llm/txt2kg_rag.py using multiproc |
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* Added process_qa_chunk() function to handle parallel processing on individual GPUs * Modified make_dataset() to distribute QA pairs across available GPUs using multiprocessing * Each GPU process creates its own embedding model and backend directory * Added per-GPU progress bars for real-time monitoring
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