tagger.py 文件源码

def get_eval_function(self):  
    """ We should feed in non-dimshuffled inputs x0, mask0 and y0.
        Used for tracking Dev loss at training time.
    """
    loss = CrossEntropyLoss().connect(self.scores, self.mask, self.y)
    return theano.function([self.x0, self.mask0, self.y0], [self.pred0, loss],
                 name='f_eval',
                 allow_input_downcast=True,
                 on_unused_input='warn',
                 givens=({self.is_train:  numpy.cast['int8'](0)}))