进行模型校验时，模型评估测试集准确率为nan,如下
nan
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/numpy/core/fromnumeric.py:3118: RuntimeWarning: Mean of empty slice.
out=out, **kwargs)
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/numpy/core/_methods.py:85: RuntimeWarning: invalid value encountered in double_scalars
ret = ret.dtype.type(ret / rcount)
经查，原来是测试集数据量太少，而我们设置batch_size时，设置的数值大于测试集的数据数量。
解决方法，把drop_last由True改为False
eval_reader = paddle.batch(custom_reader(eval_list_path),
batch_size=batch_size,
drop_last=False)
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