tensorflow的相关学习问题（版本不同）

以下报错主要是由于学习莫烦老师的tensorflow课程，由于TensorFlow的版本不同，出现的一些相关问题：
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 tensor isdefined, and use TensorFlow ops such as tf.cond to execute subgraphsconditioned on 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：
File"/home/lily/work/Tensorflow/CIRFAR-10/tensorflow.cifar10-master/cifar10_input.py",line 83, in read_cifar10
result.key, value =reader.read(filename_queue)
File"/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/io_ops.py",line 326, 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
10. AttributeError: ‘module’ object has no attribute ‘SummaryWriter’
tf.train.SummaryWriter改为：tf.summary.FileWriter
11. AttributeError: ‘module’ object has no attribute ‘summaries’
tf.merge_all_summaries()改为：summary_op = tf.summaries.merge_all()
11. tf.histogram_summary(var.op.name, var)
AttributeError: ‘module’ object has no attribute ‘histogram_summary’
改为： tf.summaries.histogram()
13. 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)
14. 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’)
15. 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:
16. ValueError: Shapes (2, 128, 1) and () are incompatible
concated = tf.concat(1, [indices, sparse_labels])改为：concated = tf.concat([indices, sparse_labels], 1)