ta@lxplus727 ML_setup]$ python RegressionKeras.py 
Using TensorFlow backend.
DataSetInfo              : [dataset] : Added class "Regression"
                         : Add Tree TreeR of type Regression with 10000 events
                         : Dataset[dataset] : Class index : 0  name : Regression
Traceback (most recent call last):
  File "RegressionKeras.py", line 51, in <module>
    model = Sequential()
  File "/cvmfs/sft.cern.ch/lcg/views/LCG_99/x86_64-centos7-gcc8-opt/lib/python3.8/site-packages/keras/engine/sequential.py", line 87, in __init__
    super(Sequential, self).__init__(name=name)
  File "/cvmfs/sft.cern.ch/lcg/views/LCG_99/x86_64-centos7-gcc8-opt/lib/python3.8/site-packages/keras/legacy/interfaces.py", line 91, in wrapper
    return func(*args, **kwargs)
  File "/cvmfs/sft.cern.ch/lcg/views/LCG_99/x86_64-centos7-gcc8-opt/lib/python3.8/site-packages/keras/engine/network.py", line 96, in __init__
    self._init_subclassed_network(**kwargs)
  File "/cvmfs/sft.cern.ch/lcg/views/LCG_99/x86_64-centos7-gcc8-opt/lib/python3.8/site-packages/keras/engine/network.py", line 294, in _init_subclassed_network
    self._base_init(name=name)
  File "/cvmfs/sft.cern.ch/lcg/views/LCG_99/x86_64-centos7-gcc8-opt/lib/python3.8/site-packages/keras/engine/network.py", line 109, in _base_init
    name = prefix + '_' + str(K.get_uid(prefix))
  File "/cvmfs/sft.cern.ch/lcg/views/LCG_99/x86_64-centos7-gcc8-opt/lib/python3.8/site-packages/keras/backend/tensorflow_backend.py", line 74, in get_uid
    graph = tf.get_default_graph()
AttributeError: module 'tensorflow' has no attribute 'get_default_graph'