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Sparse kernel support for TVM model converter #7

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GH-Jo opened this issue Nov 26, 2019 · 0 comments

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GH-Jo commented Nov 26, 2019

Performing a sparse kernel is essential to measure the latency of various compressed models.

Currently, TVM supports model convert only using dense kernel.

It is necessary to find out the sparsity of the model and convert it using sparse kernel accordingly.

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