Created
September 13, 2018 02:43
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Pytorch distillation soft targets
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| if self.distill: | |
| soft_target = Variable(data[2].cuda()) | |
| distill_loss = torch.mean(torch.sum(- nn.Softmax(dim=1)(soft_target/self.T) * nn.LogSoftmax(dim=1)(out_data/self.T), 1)) | |
| loss += self.lbda*distill_loss | |
| self.writer.add_scalar('train/distill_loss', distill_loss, i_acc+i+1) |
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(code snippet courtesy Jong-Chyi)