THIS IS A TEST INSTANCE. ALL YOUR CHANGES WILL BE LOST!!!!
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As the diversity of deep learning hardware accelerators increase, it is import important to have an efficient abstraction layer so developers can avoid having to enable each accelerator/compute separately. Intel nGraph enables that vision as shown below.
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Proposed Approach
As described in subgraph acceleration API design design document, we extend and customize SubgraphProperty and SubgraphSelector classes to enable nGraph integration.
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SgNgraphSelector inherits SubgraphSelector to provide an interface to the subgraph selection mechanism, and SgNgraphProperty inherits Subgraph Property to provide a way to create nGraph subgraphs.
When compiling with nGraph, NDArray now contains a method get_tensor to enable memory sharing between nGraph and MXNet. This enables us to avoid copying or reallocating memory.
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