Tersorflow深度學習入門—— CIFAR-10 訓練示例報錯及解決方案
Tersorflow CIFAR-10 訓練示例報錯及解決方案
1.AttributeError: 'module' object has noattribute 'random_crop'
解決方案:
將distorted_image= tf.image.random_crop(reshaped_image, [height, width])改為:
distorted_image = tf.random_crop(reshaped_image,[height, width,3])
2. AttributeError: 'module'object has no attribute 'SummaryWriter'
解決方案:
tf.train.SummaryWriter改為:tf.summary.FileWriter
3. AttributeError: 'module'object has no attribute 'summaries'
解決方案:
tf.merge_all_summaries()改為:summary_op =tf.summaries.merge_all()
4. AttributeError: 'module' object hasno attribute 'histogram_summary'
tf.histogram_summary(var.op.name,var)改為: tf.summaries.histogram()
5. AttributeError: 'module' object hasno attribute 'scalar_summary'
tf.scalar_summary(l.op.name+ ' (raw)', l)
解決方案:
tf.scalar_summary('images',images)改為:tf.summary.scalar('images', images)
tf.image_summary('images',images)改為:tf.summary.image('images', images)
6. ValueError: Only call `softmax_cross_entropy_with_logits` withnamed arguments (labels=..., logits=..., ...)
解決方案:
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` 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.
解決方案:
if grad: 改為 if grad is not None:
8. ValueError: Shapes (2, 128, 1) and () are incompatible
解決方案:
concated = tf.concat(1, [indices, sparse_labels])改為:
concated= tf.concat([indices, sparse_labels], 1)
9. 報錯:
File"/home/lily/work/Tensorflow/CIRFAR-10/tensorflow.cifar10-master/cifar10_input.py",line 83, in read_cifar10
result.key, value =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'
解決方案:
由於訓練樣本的路徑需要修改,給cifar10_input.py中data_dir賦值為本地資料所在的資料夾
TensorFlow API的其他更名可參考
持續更新……