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@Kathryn-cat Kathryn-cat commented Jun 9, 2022

In order to build a dataset for improving the cost model for MetaSchedule, I added several files including importing models to TVM, extracting tuning tasks, and sampling measure candidates. Meanwhile, I exposed some methods in C++ to the Python side to assist the process.
[update] In the file dataset_sample_candidates.py, I manually save tuning records to json files because JsonDatabase is unreasonably slow. I will update it after @junrushao1994 's PR on json parser is merged.

@Kathryn-cat Kathryn-cat force-pushed the metaschedule-cost-model branch from 1d3d55f to 76ee393 Compare June 10, 2022 06:11
@junrushao junrushao force-pushed the metaschedule-cost-model branch from 76ee393 to eaf2c64 Compare June 10, 2022 06:48
In order to build a dataset for improving the cost model for MetaSchedule, I added several files
including importing models to TVM, extracting tuning tasks, and sampling measure candidates.
Meanwhile, I exposed some methods in C++ to the Python side to assist the process.

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@Kathryn-cat Kathryn-cat force-pushed the metaschedule-cost-model branch from eabad87 to 489c5ae Compare June 10, 2022 08:34
@Kathryn-cat Kathryn-cat force-pushed the metaschedule-cost-model branch from 1e60951 to 8593918 Compare June 10, 2022 23:25
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Really great work @Kathryn-cat!!!

@junrushao junrushao merged commit 50c6a98 into apache:main Jun 11, 2022
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2 participants