Tensorflow CIFAR-10训练例子报错解决

大部分是Api版本问题：

1、AttributeError: ‘module’ object has no attribute ‘SummaryWriter’
tf.train.SummaryWriter改为：tf.summary.FileWriter

2、AttributeError: ‘module’ object has no attribute ‘summaries’
tf.merge_all_summaries()改为：summary_op = tf.summaries.merge_all()

3、tf.histogram_summary(var.op.name, var)
AttributeError: ‘module’ object has no attribute ‘histogram_summary’
改为： tf.summaries.histogram()

4、tf.scalar_summary(l.op.name + ’ (raw)’, l)
AttributeError: ‘module’ object has no attribute ‘scalar_summary’

5、tf.scalar_summary(‘images’, images)改为：tf.summary.scalar(‘images’, images)
tf.image_summary(‘images’, images)改为：tf.summary.image(‘images’, images)

6、ValueError: Only call softmax_cross_entropy_with_logits with named arguments (labels=…, logits=…, …)
cifar10.loss(labels, logits) 改为：cifar10.loss(logits=logits, labels=labels)

7、 cross_entropy = tf.nn.softmax_cross_entropy_with_logits(
logits, dense_labels, name=’cross_entropy_per_example’)
改为：
cross_entropy = tf.nn.softmax_cross_entropy_with_logits(
logits=logits, labels=dense_labels, name=’cross_entropy_per_example’)

8、TypeError: Using a tf.Tensor as a Python bool is not allowed. Use if t is not None: instead of if t: to test if a tensor is defined, and use TensorFlow ops such as tf.cond to execute subgraphs conditioned on the value of a tensor.
if grad: 改为 if grad is not None:

9、ValueError: Shapes (2, 128, 1) and () are incompatible
concated = tf.concat(1, [indices, sparse_labels])改为：
concated = tf.concat([indices, sparse_labels], 1)