tensorflow版本出错问题

大部分是Api版本问题：

error1、SummaryWriter

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

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

error2、summeries

AttributeError: 'module' object has no attribute 'summaries'

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

error3、histogram_summary

tf.histogram_summary(var.op.name, var)
AttributeError: 'module' object has no attribute 'histogram_summary'

改为：  tf.summary.histogram()

error4、scalar_summary

tf.scalar_summary(l.op.name + ' (raw)', l)
AttributeError: 'module' object has no attribute 'scalar_summary'

tf.scalar_summary('images', images)改为：tf.summary.scalar('images', images)

tf.image_summary('images', images)改为：tf.summary.image('images', images)

error5

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)

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')

error6

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:

error7、concat

ValueError: Shapes (2, 128, 1) and () are incompatible

concated = tf.concat(1, [indices, sparse_labels])改为：

concated = tf.concat([indices, sparse_labels], 1)