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Xreki
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Mar 23, 2026
Xreki
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Mar 24, 2026
| WHERE s.deleted = 0 | ||
| AND s.sample_type != 'full_graph' | ||
| ) sub | ||
| WHERE sub.rn = 1 |
Contributor
Author
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去重吧，防止一个sample被重复选取
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| def get_v2_group_members(candidates: list[CandidateGraph], num_dtypes: int): | ||
| # Index candidates by op_seq | ||
| by_op_seq = defaultdict(list) |
| b.input_shapes_bucket_id, | ||
| b.input_dtypes_bucket_id, | ||
| s.graph_hash, | ||
| ROW_NUMBER() OVER ( |
Collaborator
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graph_hash不需要了吧？ROW_NUMBER在这里的作用是什么？
Contributor
Author
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在每个 (op_seq, shapes, dtypes) 分区内，按创建时间排序编号，然后只取 rn = 1（最早的那条）。作用是桶内去重：同一个桶里可能有多个样本，只保留一个代表。
不过现在代码改了很多
| """ | ||
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| # Index candidates by op_seq | ||
| by_op_seq = defaultdict(list) |
Contributor
Author
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candidates_by_op_seq，润色一下
| for c in candidates: | ||
| by_op_seq[c.op_seq_bucket_id].append(c) | ||
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| rule3_selected_uids = set() |
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PR Category
Feature Enhancement
Description
新增group分组规则