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Add Lazy mode support to GraphScope (#340)
* Add Lazy mode support to GraphScope As an important performance optimization technique, lazy evaluation has been widely applied by many big data processing systems like TensorFlow, which provides three-fold benefits compared with eager evaluation. Eager VS Lazy: Eager execution is a flexible platform for research and experimentation, it provides: - An intuitive interface: Quickly test on small data. - Easier debugging: Call ops directly to inspect running models and test changes. Lazy execution means GraphScope does not process the data till it has to. It just gathers all the information to a DAG that we feed into it, and processes only when we execute code `sess.run(fetches)`
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