Will test it out tomorrow. On the side, what is the best way to test MKL build for MXnet. MKL is licensed?
Best, Alex On 9/18/18, 7:50 PM, "Lv, Tao A" <[email protected]> wrote: Hi Alex, Thanks for bringing this up. The original intention of MKLML is to provide a light and easy-to-access library for ML/DL community. It's released with MKL-DNN under Apache-2.0 license. AFAIK, MKL-DNN still relies on it for better performance. So I'm afraid there will be a performance regression in MKL pip packages if MKLML is simply removed. Have you ever tried the build without MKLML and how does the performance look like? -tao -----Original Message----- From: Alex Zai [mailto:[email protected]] Sent: Wednesday, September 19, 2018 4:49 AM To: [email protected] Subject: Remove MKLML as dependency On our build from source page we have a list of blas libraries that are recommended: https://mxnet.incubator.apache.org/install/build_from_source.html MKL-DNN MKL MKLML Apple Accelerate OpenBlas MKLML is a subset of MKL (https://github.com/intel/mkl-dnn/issues/102) and therefore MKLML users can just use MKL instead. Does anyone see an issue with me removing this? It would simplify out doc page and build file. Alex
