parameters: (self)
docstring: Create a global step variable to be a reference to the number of iterations
          :return:
docstring_summary: Create a global step variable to be a reference to the number of iterations
          :return:
docstring_tokens: Create a global step variable to be a reference to the number of iterations : return :
function: def __init_global_step(self):
          """
          Create a global step variable to be a reference to the number of iterations
          :return:
          """
          with tf.variable_scope('global_step'):
              self.global_step_tensor = tf.Variable(0, trainable=False, name='global_step')
              self.global_step_input = tf.placeholder('int32', None, name='global_step_input')
              self.global_step_assign_op = self.global_step_tensor.assign(self.global_step_input)
function_tokens: def __init_global_step ( self ) : with tf . variable_scope ( 'global_step' ) : self . global_step_tensor = tf . Variable ( 0 , trainable = False , name = 'global_step' ) self . global_step_input = tf . placeholder ( 'int32' , None , name = 'global_step_input' ) self . global_step_assign_op = self . global_step_tensor . assign ( self . global_step_input )