Introducee random teacher layer sets #35
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add more version inspired by rail-kd
YinongLong
reviewed
Nov 24, 2022
| if self.additional_args.layer_distill_version > 4: | ||
| specified_teacher_layers = [i for i in range(12)] | ||
| if self.additional_args.layer_distill_version ==5: | ||
| specified_teacher_layers = sorted(random.sample(specified_teacher_layers, 4)) |
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The "random" module is not imported.
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Oh, yes, it is. Thanks.
People see this will import the module: random
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I find that a fixed teacher layer sets might not be a good choice for cofi;
so it would make the method more robust to introduce the random teacher sets selection.
refer this: [2109.10164] RAIL-KD: RAndom Intermediate Layer Mapping for Knowledge Distillation (arxiv.org)