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DLPack is an open in-memory tensor structure for sharing tensors among
frameworks.
DLPack enables:
* Easier sharing of operators between deep learning frameworks.
* Easier wrapping of vendor level operator implementations, allowing
collaboration when introducing new devices/ops.
* Quick swapping of backend implementations, like different version of BLAS
* For final users, this could bring more operators, and possibility of mixing
usage between frameworks.
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