[Paddle-Pipelines] Add matryoshka representation learning #8165
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Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## develop #8165 +/- ##
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+ Coverage 55.37% 55.44% +0.07%
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Files 596 596
Lines 91622 91464 -158
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- Hits 50732 50713 -19
+ Misses 40890 40751 -139 ☔ View full report in Codecov by Sentry. |
sijunhe
reviewed
Mar 21, 2024
| q_reps = self._dist_gather_tensor(q_reps) | ||
| p_reps = self._dist_gather_tensor(p_reps) | ||
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| if self.matryoshka_dims: |
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matryoshka 应该和inbatch_neg不是互斥的吧？ 可以相结合？
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兼容了inbatch_neg策略了
| from paddlenlp.trainer import Trainer | ||
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| class BiTrainer(Trainer): |
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因为默认collator被我们重写了，要同时处理query和passage，collator的输出就包括query 的input_id和passage的input_id，这样会组成一个新的字典{"query": q_collated, "passage": d_collated}，但模型只接收一个包含inputs的字典。不过也可以不用改trainer，改BiEncoderModel的forward输入适配trainer。
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