akarbown commented on issue #18255:
URL: 
https://github.com/apache/incubator-mxnet/issues/18255#issuecomment-720447703


   Hi @leezu and @TaoLv, I didn't know whether this issue is solved or not. 
Thus, I tried to reproduce & check it on the latest master (and also at some 
builds from the March, 2020) but couldn't. I compiled mxnet with the following 
command line: ```' cmake -GNinja -DUSE_MKLDNN=0 -DMKL_USE_STATIC_LIBS=0 
-DUSE_CUDA=0 -DUSE_BLAS=mkl ..; ninja'``` and get the following output:
   ```
   MKL_VERBOSE=1 python3 -c 'import mxnet as mx; 
print(mx.nd.square(mx.nd.random.
   niform(shape=(1024,))))'
   mkl-service + Intel(R) MKL: THREADING LAYER: (null)
   mkl-service + Intel(R) MKL: setting Intel(R) MKL to use INTEL OpenMP runtime
   mkl-service + Intel(R) MKL: preloading libiomp5.so runtime
   MKL_VERBOSE Intel(R) MKL 2020.0 Update 2 Product build 20200624 for Intel(R) 
64 architecture Intel(R) Advanced Vector Extensions 512 (Intel(R) AVX-512) with 
supprt of Vector Neural Network Instructions enabled processors, Lnx 2.70GHz 
lp64 intel_thread
   MKL_VERBOSE SDOT(2,0x561209eba390,1,0x561209eba390,1) 17.30us CNR:OFF Dyn:1 
FastMM:1 TID:0  NThr:56
   [12:23:30] ../src/storage/storage.cc:199: Using Pooled (Naive) 
StorageManager for CPU
   
   [0.30119628 0.35146472 0.51149577 ... 0.12286104 0.28916994 0.35195467]
   <NDArray 1024 @cpu(0)>
   ```
   Should I set something more to get this MKL error?


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