Model compilation failing with ValueError: Variable dense_1_bottleN_0_batch1/beta already exists, disallowed

[amitkayal]

======Loading data======
DataSet aready exist!
Loading ./cifar-10-batches-py/data_batch_1 : 10000.
Loading ./cifar-10-batches-py/data_batch_2 : 10000.
Loading ./cifar-10-batches-py/data_batch_3 : 10000.
Loading ./cifar-10-batches-py/data_batch_4 : 10000.
Loading ./cifar-10-batches-py/data_batch_5 : 10000.
Loading ./cifar-10-batches-py/test_batch : 10000.
Train data: (50000, 32, 32, 3) (50000, 10)
Test data : (10000, 32, 32, 3) (10000, 10)
======Load finished======
======Shuffling data======
======Prepare Finished======

ValueError Traceback (most recent call last)
in ()
207 learning_rate = tf.placeholder(tf.float32, name='learning_rate')
208
--> 209 model = DenseNet(x=x, nb_blocks=nb_block, filters=growth_k, training=training_flag)
210
211 # logits = DenseNet(x=x, nb_blocks=nb_block, filters=growth_k, training=training_flag).model

20 frames
/usr/local/lib/python3.6/dist-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, use_resource, constraint, synchronization, aggregation)
862 tb = [x for x in tb if "tensorflow/python" not in x[0]][:5]
863 raise ValueError("%s Originally defined at:\n\n%s" %
--> 864 (err_msg, "".join(traceback.format_list(tb))))
865 found_var = self._vars[name]
866 if not shape.is_compatible_with(found_var.get_shape()):

ValueError: Variable dense_1_bottleN_0_batch1/beta already exists, disallowed. Did you mean to set reuse=True or reuse=tf.AUTO_REUSE in VarScope? Originally defined at:

File "/usr/local/lib/python3.6/dist-packages/tensorflow/contrib/framework/python/ops/variables.py", line 283, in variable
aggregation=aggregation)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/contrib/framework/python/ops/arg_scope.py", line 182, in func_with_args
return func(*args, **current_args)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/contrib/framework/python/ops/variables.py", line 355, in model_variable
aggregation=aggregation)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/contrib/framework/python/ops/arg_scope.py", line 182, in func_with_args
return func(*args, **current_args)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/contrib/layers/python/layers/layers.py", line 315, in _fused_batch_norm
trainable=trainable)

[murderH]

I also have the problem when I run the code on colaboratory, but it has no problem on pycharm.Can someone help me solve this? Thank you.