feat: support distillation strategy #705
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The-truthh
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zhtmike
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mindcv/utils/distill_loss_cell.py
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| def construct(self, data, label): | ||
| out = self._backbone(data) | ||
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| out, out_kd = out |
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对，需要返回一个cls_token和一个distill_token
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可以在网络结构中实现返回两个结果
zhtmike
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Aug 4, 2023
mindcv/utils/distill_loss_cell.py
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| teacher_out = self.teacher_model(data) | ||
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| T = self.tau | ||
| distillation_loss = ( |
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可以考虑统一 DistillLossCell，不同loss算法名称以参数传入，实际算法以不同方法实现
zhtmike
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Motivation
support distillation strategy
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