juliusshufan opened a new pull request #14893: Integrating the MKL VML functions to MXNET to speed-up the mathematic computation URL: https://github.com/apache/incubator-mxnet/pull/14893 ## Description ## Intel MKL provides a wide range of the generic vectored mathematic (VML) functions befitting from AVX512 instructions, via the integration of the VML functions, some of the element-wised operation is expected to be speedup. Currently, the generic mathematic computations are implemented by a series of mshadow OPs, which encapsulate the functions provided by standard math library, and the vectorization of the input is implemented by dense/sparse tensor, and computations are paralized by OpenMP. Specially, Element-wise OP taking one or two inputs, with “write-to”/”write-inplace” types can be supported by MKL VML functions. ## Checklist ## ### Essentials ### Please feel free to remove inapplicable items for your PR. - [ ] The PR title starts with [MXNET-$JIRA_ID], where $JIRA_ID refers to the relevant [JIRA issue](https://issues.apache.org/jira/projects/MXNET/issues) created (except PRs with tiny changes) - [ ] Changes are complete (i.e. I finished coding on this PR) - [ ] All changes have test coverage: - Unit tests are added for small changes to verify correctness (e.g. adding a new operator) - Nightly tests are added for complicated/long-running ones (e.g. changing distributed kvstore) - Build tests will be added for build configuration changes (e.g. adding a new build option with NCCL) - [ ] Code is well-documented: - For user-facing API changes, API doc string has been updated. - For new C++ functions in header files, their functionalities and arguments are documented. - For new examples, README.md is added to explain the what the example does, the source of the dataset, expected performance on test set and reference to the original paper if applicable - Check the API doc at http://mxnet-ci-doc.s3-accelerate.dualstack.amazonaws.com/PR-$PR_ID/$BUILD_ID/index.html - [ ] To the my best knowledge, examples are either not affected by this change, or have been fixed to be compatible with this change ### Changes ### The unit tests are provided with the changes.
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