TensorFlow不同版本引起的错误

这几天分别基于tensorflow0.11和1.0版本测试，记录下两个版本不同的API，

参考：http://blog.csdn.NET/edwards_june/article/details/65652385

前4个是 V0.11 的API 用在 V1.0 的错误

1. AttributeError: 'module' object has no attribute 'merge_all_summaries'

>> tf.merge_all_summaries() 改为：summary_op = tf.summary.merge_all()

2. AttributeError: 'module' object has no attribute 'SummaryWriter'

>> tf.train.SummaryWriter 改为：tf.summary.FileWriter

3. AttributeError: 'module' object has no attribute 'scalar_summary'

>> tf.scalar_summary 改为：tf.summary.scalar

4. AttributeError: 'module' object has no attribute 'histogram_summary'

>> histogram_summary 改为：tf.summary.histogram

下边这个是 V1.0 的API 用在 V0.11 的错误

File "dis-alexnet_benchmark.py", line 110, in alexnet_v2

    biases_initializer=tf.zeros_initializer(),

TypeError: zeros_initializer() takes at least 1 argument (0 given)

>> 将 biases_initializer=tf.zeros_initializer() 改为：biases_initializer=tf.zeros_initializer

转自https://blog.csdn.net/s_sunnyy/article/details/70999462