gf1.py 文件源码

def build_objective(model, deterministic=False, epsilon=1e-12):
    predictions = nn.layers.get_output(model.l_out, deterministic=deterministic)
    targets = T.cast(T.flatten(nn.layers.get_output(model.l_target)), 'int32')
    p = predictions[T.arange(predictions.shape[0]), targets]
    p = T.clip(p, epsilon, 1.)
    loss = T.mean(T.log(p))
    return -loss