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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def compile(self, cost, name_scope="train"):
 """Compile the optimizer with the given training parameters. Parameters cost : Tensor A Tensor containing the value to minimize. name_scope : str , optional (default="train") Optional name scope for the optimizer graph ops. """

        with tf.name_scope(name_scope):
            return self.opt_.minimize(cost)