Variable conv1/weights already exists, disallowed. Did you mean to set reuse=Tru

[weixin_40736039]

ValueError                                Traceback (most recent call last)
<ipython-input-13-8ae8e5b3e751> in <module>()
     23                                 BATCH_SIZE,
     24                                 CAPACITY)
---> 25 train_logits = model.inference(train_batch, BATCH_SIZE, N_CLASSES)
     26 train_loss = model.losses(train_logits, train_label_batch)
     27 train_op = model.trainning(train_loss, learning_rate)

E:\cat and dog\model.py in inference(images, batch_size, n_classes)
      8                                   shape=[3, 3, 3, 16],
      9                                   dtype=tf.float32,
---> 10                                   initializer=tf.truncated_normal_initializer(stddev=0.1, dtype=tf.float32))
     11         biases = tf.get_variable('biases',
     12                                  shape=[16],

D:\Anaconda\lib\site-packages\tensorflow\python\ops\variable_scope.py in get_variable(name, shape, dtype, initializer, regularizer, trainable, collections, caching_device, partitioner, validate_shape, custom_getter)
   1022       collections=collections, caching_device=caching_device,
   1023       partitioner=partitioner, validate_shape=validate_shape,
-> 1024       custom_getter=custom_getter)
   1025 
   1026 

D:\Anaconda\lib\site-packages\tensorflow\python\ops\variable_scope.py in get_variable(self, var_store, name, shape, dtype, initializer, regularizer, trainable, collections, caching_device, partitioner, validate_shape, custom_getter)
    848           collections=collections, caching_device=caching_device,
    849           partitioner=partitioner, validate_shape=validate_shape,
--> 850           custom_getter=custom_getter)
    851 
    852   def _get_partitioned_variable(self,

D:\Anaconda\lib\site-packages\tensorflow\python\ops\variable_scope.py in get_variable(self, name, shape, dtype, initializer, regularizer, reuse, trainable, collections, caching_device, partitioner, validate_shape, custom_getter)
    344           reuse=reuse, trainable=trainable, collections=collections,
    345           caching_device=caching_device, partitioner=partitioner,
--> 346           validate_shape=validate_shape)
    347 
    348   def _get_partitioned_variable(

D:\Anaconda\lib\site-packages\tensorflow\python\ops\variable_scope.py in _true_getter(name, shape, dtype, initializer, regularizer, reuse, trainable, collections, caching_device, partitioner, validate_shape)
    329           initializer=initializer, regularizer=regularizer, reuse=reuse,
    330           trainable=trainable, collections=collections,
--> 331           caching_device=caching_device, validate_shape=validate_shape)
    332 
    333     if custom_getter is not None:

D:\Anaconda\lib\site-packages\tensorflow\python\ops\variable_scope.py in _get_single_variable(self, name, shape, dtype, initializer, regularizer, partition_info, reuse, trainable, collections, caching_device, validate_shape)
    630                          " Did you mean to set reuse=True in VarScope? "
    631                          "Originally defined at:\n\n%s" % (
--> 632                              name, "".join(traceback.format_list(tb))))
    633       found_var = self._vars[name]
    634       if not shape.is_compatible_with(found_var.get_shape()):

ValueError: Variable conv1/weights already exists, disallowed. Did you mean to set reuse=True in VarScope? Originally defined at:

  File "D:\Anaconda\lib\site-packages\tensorflow\python\framework\ops.py", line 1128, in __init__
    self._traceback = _extract_stack()
  File "D:\Anaconda\lib\site-packages\tensorflow\python\framework\ops.py", line 2240, in create_op
    original_op=self._default_original_op, op_def=op_def)
  File "D:\Anaconda\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 759, in apply_op
    op_def=op_def)

训练猫狗大战训练集的时候遇到了上述问题，看不懂，求大神指教

[studyzen]

model.inference(train_batch, BATCH_SIZE, N_CLASSES)这个里面应该有with tf.variable_scope('layer1'):这样的代码，改为with tf.variable_scope('layer1', reuse = reuse):第二个参数传True

[Monster_Zhong]

在最前面加上这句代码：tf.reset_default_graph()

[liujiaoatcd]

model.inference(train_batch, BATCH_SIZE, N_CLASSES)这个里面应该有with tf.variable_scope('layer1'):这样的代码，改为with tf.variable_scope('layer1', reuse = tf.AUTO_REUSE):

[Bigcat_u]

方法很好，完美解决问题，亲测

[qq_41544846]

您好，我想请问一下 model.inference(train_batch, BATCH_SIZE, N_CLASSES) 这个在哪里啊，菜鸟不会找。。。。 哭晕过去了

[Jia10143]

"model.inference" 代指你构建神经网络模型的 那块脚本

[weixin_44119674]

不行啊，還是報錯。ValueError: Variable degridding/conv1/weights already exists, disallowed. Did you mean to set reuse=True or reuse=tf.AUTO_REUSE in VarScope? Originally defined at

[ChenEthan_]

解决了吗？还是报错