Integrate VNNI into FBGEMM master branch #111
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Summary: Pull Request resolved: #111 Basically, the code works perfectly with cmake on Cascade Lake machine. To run with cmake, the file `deeplearning/fbgemm/bench/FP16Benchmark.cc` needs to be removed before running the 3 lines cmake command in the Test Plan. This is because cmake cannot find the right BLAS library on the deveserver. Differential Revision: D16276574 fbshipit-source-id: db549099048f8789b227374edd3ff11253139521
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Updated to resolve the GConv test issue, CMake incompatibility issue, and so on in #114. |
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Summary:
Adding the VNNI support in FBGEMM.
Currently, the code works with cmake version on Cascade Lake machine.
Differential Revision: D16276574