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GraphScope v0.6 Released: Code with Eager, Executive with Lazy (github.com/alibaba)
4 points by yecol 3 months ago | hide | past | favorite | 1 comment

In many big data processing systems like TensorFlow, developers usually choose the eager-evaluation in the development stage, as it can ease the debugging of applications, while switch to the lazy-evaluation in the deployment stage for better performance. GraphScope v0.6 introduces this feature to graph computing. In GraphScope, developers can easily switch between lazy-evaluation and eager-evaluation by just setting the value of mode as `lazy` or `eager` when creating a session `graphscope.session(mode='lazy|eager')`.

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