score_model.py 文件源码

python
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项目:score-zeroshot 作者: pedro-morgado 项目源码 文件源码
def _loss_proto(self, xPr, xLb, xSemPr, xSemLb, lCW):
        ns = self.netspec

        # Classification loss
        if self.sem_coeff < 1:
            name = 'SCoRe/objLoss'
            ns[name] = L.SoftmaxWithLoss(*[xPr, xLb], name=name, loss_weight=1.0 - self.sem_coeff, include=dict(phase=caffe.TRAIN))

        # Semantic regularization
        if self.sem_coeff > 0:
            self._semantic_regularization(xSemPr, xSemLb, self.sem_coeff)

        # Codeword regularization
        if 0 < self.code_coeff < np.inf:
            self._code_regularization(lCW)
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