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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