title: R: AttributeError: module 'tensorflow' has no attribute 'reset_default_graph' get broken down with R
body: <p>I am getting varaible resutls in my keras tensorflow session in R. I would like to be more consistant for training my models. I have tried using use_session_with_seed() but it get the error </p>
  
  <pre><code>2019-12-15 17:46:31.057595: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_100.dll
  Error in py_get_attr_impl(x, name, silent) : 
    AttributeError: module 'tensorflow' has no attribute 'reset_default_graph'
  </code></pre>
  
  <p>Is there a package I can install with...</p>
  
  <pre><code>reticulate::py_install() 
  </code></pre>
  
  <p>I am not sure if this help but when I import tensorflow and try tf$reset_Default_Graph i get an error</p>
  
  <pre><code>library(tensorflow)
  tf$reset_default_graph()
  Error in py_get_attr_impl(x, name, silent) : 
    AttributeError: module 'tensorflow' has no attribute 'reset_default_graph'
  </code></pre>
  
  <p>I'm running...
  python 3.7
  r 3.6.1
  tensorflow 2.0
  anaconda 
  windows 10
  gpu = nvidia 1060 with max q design</p>