code: def create_session(target='', timeout_sec=10):
    '''Create an intractive TensorFlow session.
  
    Helper function that creates TF session that uses growing GPU memory
    allocation and opration timeout. 'allow_growth' flag prevents TF
    from allocating the whole GPU memory an once, which is useful
    when having multiple python sessions sharing the same GPU.
    '''
    graph = tf.Graph()
    config = tf.ConfigProto()
    config.gpu_options.allow_growth = True
    config.operation_timeout_in_ms = int(timeout_sec*1000)
    return tf.InteractiveSession(target=target, graph=graph, config=configf create_session(target='', timeout_sec=10):
    '''Create an intractive TensorFlow session.
  
    Helper function that creates TF session that uses growing GPU memory
    allocation and opration timeout. 'allow_growth' flag prevents TF
    from allocating the whole GPU memory an once, which is useful
    when having multiple python sessions sharing the same GPU.
    '''
    graph = tf.Graph()
    config = tf.ConfigProto()
    config.gpu_options.allow_growth = True
    config.operation_timeout_in_ms = int(timeout_sec*1000)
    return tf.InteractiveSession(target=target, graph=graph, config=config)
docs: Create an intractive TensorFlow session.
  
    Helper function that creates TF session that uses growing GPU memory
    allocation and opration timeout. 'allow_growth' flag prevents TF
    from allocating the whole GPU memory an once, which is useful
    when having multiple python sessions sharing the same GPU.