7955d7dfab1b6ec0b643afba6c4ad50adb3cd132,model/base_model.py,BaseRunner,eval,#BaseRunner#Any#Any#Any#Any#,209

Before Change

        if N > data_set.num_examples:
            N = data_set.num_examples
        eval_args = self._get_eval_args(epoch)
        string = "eval on %s, N=%d|" % (data_set.name, N)
        if progress:
            pbar = get_pbar(num_iters, prefix=string).start()
        for iter_idx in range(num_iters):
            batches = []
            for _ in range(self.num_towers):
                if data_set.has_next_batch(partial=True):

After Change

            string = "%s at epoch %d: acc = %.2f%% = %d / %d, loss = %.4f" % \
                     (data_set.name, epoch, 100 * acc, num_corrects, total, loss)
            logging.info(string)
            print(string)
        else:
            loss, acc = None, None

        // For outputting eval json files

Instances