1. AttributeError: 'module' object has no attribute 'SummaryWriter'
tf.train.SummaryWriter 改為：tf.summary.FileWriter
2. AttributeError: 'module' object has no attribute 'summaries'
tf.merge_all_summaries() 改為：summary_op = tf.summary.merge_all()
3. AttributeError: 'module' object has no attribute 'histogram_summary'
tf.histogram_summary() 改為：tf.summary.histogram()
tf.scalar_summary() 改為：tf.summary.scalar()
tf.image_summary() 改為：tf.summary.image()
4. AttributeError: 'module' object has no attribute 'scalar_summary'
tf.scalar_summary('images', images) 改為：tf.summary.scalar('images', images)
tf.image_summary('images', images) 改為：tf.summary.image('images', images)
5. ValueError: Only call `softmax_cross_entropy_with_logits` with named arguments (labels=..., logits=..., ...)
cifar10.loss(labels, logits)
改為：cifar10.loss(logits=logits, labels=labels)
cross_entropy = tf.nn.softmax_cross_entropy_with_logits(logits, dense_labels, name='cross_entropy_per_example')
改為：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` is not allowed. Use `if t is not None:` instead of `if t:` to test if a tensor is defined.
if grad: 改為 if grad is not None:
8. ValueError: Shapes (2, 128, 1) and () are incompatible.
concated = tf.concat(1, [indices, sparse_labels]) 改為：concated = tf.concat([indices, sparse_labels], 1)