automatically generate op convenience overloads?

Should we extend the code generation for ops to automatically generate convenience overloads? This would help reduce the gap between Python notation and Java notation.

As an example of where we stand now, here's some Python code (keras/metrics.py, around line 2203):

    dp = p[:self.num_thresholds - 1] - p[1:]

And here's the corresponding Java code (AUC.java, around line 809):

    Operand<T> dP =
        tf.math.sub(
            tf.slice(
                p, tf.constant(new int[] {0}), tf.constant(new int[] {getNumThresholds() - 1})),
            tf.slice(p, tf.constant(new int[] {1}), tf.constant(new int[] {-1})));

首先比较 keras/metrics.py 中约第 2203 行的 Python 示例与 AUC.java 中约第 809 行的 Java 实现。确定应生成哪些 convenience overloads，以及 Python 和 Java 形式应如何对应；确定一致的生成范围和由此产生的 Java API 后，即可视为完成。