Python TypeError:concat()获取了意外的关键字参数';轴';

Python TypeError:concat()获取了意外的关键字参数';轴';,python,tensorflow,deep-learning,Python,Tensorflow,Deep Learning,我在tensorflow版本r0.11和r0.12上进行了尝试,以预训练微调inception_resnet_v2和resnet_150。两者都提出了这个错误。你能帮助我吗?感谢TF 1.0中更改的界面,您必须使用旧代码,请参阅升级说明非常感谢 Traceback (most recent call last): File "train_image_classifier.py", line 585, in tf.app.run() File "/usr/local/lib/python2.7/

我在tensorflow版本r0.11和r0.12上进行了尝试,以预训练微调inception_resnet_v2和resnet_150。两者都提出了这个错误。你能帮助我吗?感谢TF 1.0中更改的界面,您必须使用旧代码,请参阅升级说明非常感谢
Traceback (most recent call last):
File "train_image_classifier.py", line 585, in 
tf.app.run()
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/platform/app.py", line 30, in run
sys.exit(main(sys.argv[:1] + flags_passthrough))
File "train_image_classifier.py", line 482, in main
clones = model_deploy.create_clones(deploy_config, clone_fn, [batch_queue])
File "/home/cloud/hoa/workspace/tensorflows/models/slim/deployment/model_deploy.py", line 195, in create_clones
outputs = model_fn(*args, **kwargs)
File "train_image_classifier.py", line 466, in clone_fn
logits, end_points = network_fn(images)
File "/home/cloud/hoa/workspace/tensorflows/models/slim/nets/nets_factory.py", line 105, in network_fn
return func(images, num_classes, is_training=is_training)
File "/home/cloud/hoa/workspace/tensorflows/models/slim/nets/inception_resnet_v2.py", line 169, in inception_resnet_v2
tower_conv2_2, tower_pool_1])
TypeError: concat() got an unexpected keyword argument 'axis'