Tensorflow-常见报错解决方案

1. AttributeError: 'module' object has no attribute 'SummaryWriter'

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

 2. AttributeError: 'module' object has no attribute 'summaries'

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

 3. AttributeError: 'module' object has no attribute 'histogram_summary'

tf.histogram_summary() 改为：tf.summary.histogram()
tf.scalar_summary() 改为：tf.summary.scalar() 
tf.image_summary() 改为：tf.summary.image()

 4. 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)

 5. 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')

 6. 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.

if grad: 改为  if grad is not None:

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

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

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