models.py 文件源码

def forward(self, activations, targets):
        # targets are -1.0 or 1.0, 1-d Variable
        # likelihood assigned by the model to pos and neg samples is given by the sigmoid, with the sign
        # determined by the class.
        # negative log likelihood
        return log(sigmoid(activations * targets)).sum() * -1.0