Tensorflow CIFAR-10训练例子报错解决

这些问题都是由于tensorflow版本的原因，大家可以看一下自己tensorflow版本

python
import tensorflow as tf
tf.__version__

我的tensorflow版本是1.0.0，一般在1.0.0以上的版本都会有这些问题。对于0.12一下版本的不会出现，这些仅供大家参考

AttributeError: ‘module’ object has no attribute ‘SummaryWriter’

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

AttributeError: ‘module’ object has no attribute ‘summaries’

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

tf.histogram_summary(var.op.name, var)

AttributeError: ‘module’ object has no attribute ‘histogram_summary’

改为： tf.summaries.histogram()

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)

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’)

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:

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

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

concated = tf.concat([indices, sparse_labels], 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’

‘per_image_whitening 改为：’per_image_standardization

tensorflow:AttributeError: ‘module’ object has noattribute ‘mul’

tf.mul改为：tf.multiply

出现这些问题的每一个函数都得改变，不然还是会报错