TensorFlow various Error summary

1. The ' list ' object has no attribute ' lower ' has the following error

Traceback (most recent):
  File "h:/fasionai/mynet/train.py", line <module>
    train_logits = m Odel.inference (Train_batch, Batch_size, n_classes)
  File "H:\FasionAI\MyNet\CnnNet.py", line A, in inference
    Pool2 = Tf.nn.pool (Conv2, [1, 2, 2, 1], [1, 2, 2, 1], padding= ' SAME ', name= ' pooling2 ')
  File "E:\softinstall\Anaconda\l ib\site-packages\tensorflow\python\ops\nn_ops.py ", line 931, in Pool
    (Pooling_type.lower ()), [input]) as scope:
attributeerror: ' The list ' object has no attribute ' lower '

Problem reason: Tf.nn.max_pool () instead of Tf.nn.pool ()

2.tensorflow Version inconsistency

1) attributeerror:module ' TensorFlow ' has no attribute ' scalar_summary '

Tf.image_summary (' images ', images) instead: tf.summary.image (' images ', images)

2 attributeerror: ' Scalar_summary ' of ' module ' object has no attribute

Tf.scalar_summary (' images ', images) instead: tf.summary.scalar (' images ', images)

3) Attributeerror:module ' TensorFlow ' has no attribute ' merge_all_summaries '

Tf.merge_all_summaries () read: Summary_op = Tf.summary.merge_all ()

4 attributeerror: ' Summarywriter ' of ' module ' object has no attribute

Tf.train.SummaryWritter changed to Tf.summary.FileWriter

3.pycharm program does not recognize its own written program import show Red line

1 Open file--"setting-" open the Python console under the console, the option (ADD source roots to Pythonpat) Click on the Tick

2 Right click on their own workspace, find the following Mark Directory as select Source Root, you can solve the above problems

4.valueerror:both Labels and logits must be provided.

  File "H:\FasionAI\MyNet\resnetmodel\resnet_train.py", line, in train
    Loss_ = loss (Logits=logits, labels=labels)
  File "H:\FasionAI\MyNet\resnetmodel\resnet.py", line 148, in loss
    cross_entropy = Tf.nn.sparse_softmax_cross _entropy_with_logits (labels=labels,logits=logits)
  File "E:\softinstall\Anaconda\lib\site-packages\ tensorflow\python\ops\nn_ops.py ", line 1935, in Sparse_softmax_cross_entropy_with_logits
    labels, logits)
  File "E:\softinstall\Anaconda\lib\site-packages\tensorflow\python\ops\nn_ops.py", line 1715, in _ensure_xent_args
    Raise ValueError ("Both labels and logits must be provided.")
Valueerror:both labels and logits must be provided.

View the source after the discovery is:

  If labels is none:
    raise ValueError ("Both labels and logits must are provided.")

That is, there is a null input, and after checking that the call function Inference_small_config (x, c) does not return correctly, it should be

   return Inference_small_config (x, c)