dsb_a_eliasx29_relias10_s5_p8a1.py 文件源码

def build_objective(model, deterministic=False, epsilon=1e-12):
    p = nn.layers.get_output(model.l_out, deterministic=deterministic)
    targets = T.flatten(nn.layers.get_output(model.l_target))
    p = T.clip(p, epsilon, 1.-epsilon)
    bce = T.nnet.binary_crossentropy(p, targets)
    return T.mean(bce)