一：Tersorflow CIFAR-10 训练示例报错及解决方案（1）
 
1．AttributeError:'module' object has noattribute 'random_crop'
 
##解决方案：
 
将distorted_image= tf.image.random_crop(reshaped_image,[height, width])改为：
 
distorted_image = tf.random_crop(reshaped_image,[height,width,3])
 
 
 
2. AttributeError:'module'object has no attribute 'SummaryWriter'
 
##解决方案：tf.train.SummaryWriter改为：tf.summary.FileWriter
 
 
 
3. AttributeError:'module'object has no attribute 'summaries'
 
解决方案： tf.merge_all_summaries()改为：summary_op =tf.summaries.merge_all()
 
 
 
4. AttributeError: 'module' object hasno attribute'histogram_summary
 
tf.histogram_summary(var.op.name,var)改为： tf.summaries.histogram()
 
 
 
5. AttributeError: 'module' object hasno attribute'scalar_summary'
 
tf.scalar_summary(l.op.name+ ' (raw)', l)
 
##解决方案：
 
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` withnamed arguments (labels=...,logits=..., ...)
 
##解决方案：
 
 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')
 
 
 
7. TypeError: Using a `tf.Tensor` as a Python `bool`isnot allowed. Use `if t is not None:` instead of `if t:` to test if a tensorisdefined, and use TensorFlow ops such as tf.cond to execute subgraphsconditionedon the value of a tensor.
 
##解决方案：
 
if grad: 改为 if grad is not None:
 
 
 
8. ValueError: Shapes (2, 128, 1) and () are incompatible
 
###解决方案：
 
concated = tf.concat(1, [indices, sparse_labels])改为：
 
concated= tf.concat([indices, sparse_labels], 1)
 
 
 
9. 报错：（这个暂时没有遇到）
 
File"/home/lily/work/Tensorflow/CIRFAR-10/tensorflow.cifar10-master/cifar10_input.py",line83, in read_cifar10
 
  result.key, value=reader.read(filename_queue)
 
 File"/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/io_ops.py",line326, in read
 
queue_ref = queue.queue_ref
 
AttributeError: 'str' object hasno attribute 'queue_ref'
 
###解决方案：
 
由于训练样本的路径需要修改，给cifar10_input.py中data_dir赋值为本地数据所在的文件夹
 

1，File"tensorflow/models/slim/preprocessing/cifarnet_preproces.py", line70, in preprocess_for_train
return tf.image.per_image_whitening(distorted_image)
AttributeError: 'module' object has no attribute'per_image_whitening'