ngam opened a new issue #20828:
URL: https://github.com/apache/incubator-mxnet/issues/20828


   ## Description
   
   The default pypi package has the following `mx.runtime.feature_list()`:
   
   ```
   >>> import mxnet as mx
   >>> mx.runtime.feature_list()
   [✖ CUDA, ✖ CUDNN, ✖ NCCL, ✖ CUDA_RTC, ✖ TENSORRT, ✔ CPU_SSE, ✔ CPU_SSE2, ✔ 
CPU_SSE3, ✖ CPU_SSE4_1, ✖ CPU_SSE4_2, ✖ CPU_SSE4A, ✖ CPU_AVX, ✖ CPU_AVX2, ✔ 
OPENMP, ✖ SSE, ✖ F16C, ✖ JEMALLOC, ✔ BLAS_OPEN, ✖ BLAS_ATLAS, ✖ BLAS_MKL, ✖ 
BLAS_APPLE, ✔ LAPACK, ✔ MKLDNN, ✔ OPENCV, ✖ CAFFE, ✖ PROFILER, ✔ DIST_KVSTORE, 
✖ CXX14, ✖ INT64_TENSOR_SIZE, ✔ SIGNAL_HANDLER, ✖ DEBUG, ✖ TVM_OP]
   >>> 
   
   ```
   
   I am curious if it is possible to publish official wheels (optional, like 
cuda ones) with `BLAS_MKL`. Note though, when I followed the recommended 
[sanity 
check](https://github.com/apache/incubator-mxnet/blob/master/docs/python_docs/python/tutorials/performance/backend/dnnl/dnnl_readme.md#enable-mkl-blas)
 for `BLAS_MKL`, I found that I got the verbose flags and so I am not really 
sure what's going on. 
   
   Also, are there any plans to support arm64 (cpu and/or gpu)? Thanks!
   


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