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Tersorflow深度学习和进阶零门槛—— CIFAR-10 训练示例报错及解决方案

编程语言 xiao_lxl 19℃ 0评论

Tersorflow  CIFAR-10 训练示例报错及解决方案





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

 

持续更新……


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