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[D] What kind of computation graphs does caffe2 use?

Like tensorflow uses Static Computation graphs. When you define your network, it prepares the whole graph data structure before running. Whereas, pytorch uses Dynamic CG, where CG is prepared dynamically when the interpreter runs the code line by line.

My questions are: 1. Is there anything conceptually wrong in the above paragraph? 2. How does Caffe2 does it?

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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.