parameters: (self, loss)
return_statement: return tf.train.AdamOptimizer(learning_rate=self.lr).minimize(loss)
docstring: operation
docstring_summary: operation
docstring_tokens: operation
function: def ops(self, loss):
          """
          operation
          """
          return tf.train.AdamOptimizer(learning_rate=self.lr).minimize(loss)
function_tokens: def ops ( self , loss ) : return tf . train . AdamOptimizer ( learning_rate = self . lr ) . minimize ( loss )