本文主要是介绍Tersorflow CIFAR-10 训练示例报错及解决方案，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！
在我运行cifar10示例的过程中，遇到了许多问题，调试了几天才搞定，本文对基于python的深度学习的初学者有些帮助。
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 =http://blog.csdn.net/xiao_lxl/article/details/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
这篇关于Tersorflow CIFAR-10 训练示例报错及解决方案的文章就介绍到这儿，希望我们推荐的文章对编程师们有所帮助！
