Can't install mxnet with mkldnn,Error: undefined symbol: mkldnn_primitive_desc_query_memory_d

[knjwhn]

Description

(Brief description of the problem in no more than 2 sentences.)
I've done the instruction from https://github.com/xinyu-intel/incubator-mxnet/blob/master/docs/tutorials/mkldnn/MKLDNN_README.md ,
because I don't have the full MKL library installation ,so I run the command as follw
make -j $(nproc) USE_OPENCV=1 USE_MKLDNN=1 USE_BLAS=openblas USE_INTEL_PATH=/opt/intel
and when I first run the command in order to verify mxnet as the document says

   cd python
   sudo python setup.py install
   python -c "import mxnet as mx;print((mx.nd.ones((2, 3))*2).asnumpy());"

the results are good ,However , When I try to verify whether MKL-DNN works,I run the code as follows:

import mxnet as mx
import numpy as np

num_filter = 32
kernel = (3, 3)
pad = (1, 1)
shape = (32, 32, 256, 256)

x = mx.sym.Variable('x')
w = mx.sym.Variable('w')
y = mx.sym.Convolution(data=x, weight=w, num_filter=num_filter, kernel=kernel, no_bias=True, pad=pad)
exe = y.simple_bind(mx.cpu(), x=shape)

exe.arg_arrays[0][:] = np.random.normal(size=exe.arg_arrays[0].shape)
exe.arg_arrays[1][:] = np.random.normal(size=exe.arg_arrays[1].shape)

exe.forward(is_train=False)
o = exe.outputs[0]
t = o.asnumpy()

I got this error:

Traceback (most recent call last):
  File "diagnose.py", line 103, in check_mxnet
    import mxnet
  File "/usr/local/lib/python2.7/dist-packages/mxnet-1.5.0-py2.7.egg/mxnet/__init__.py", line 24, in <module>
    from .context import Context, current_context, cpu, gpu, cpu_pinned
  File "/usr/local/lib/python2.7/dist-packages/mxnet-1.5.0-py2.7.egg/mxnet/context.py", line 24, in <module>
    from .base import classproperty, with_metaclass, _MXClassPropertyMetaClass
  File "/usr/local/lib/python2.7/dist-packages/mxnet-1.5.0-py2.7.egg/mxnet/base.py", line 213, in <module>
    _LIB = _load_lib()
  File "/usr/local/lib/python2.7/dist-packages/mxnet-1.5.0-py2.7.egg/mxnet/base.py", line 204, in _load_lib
    lib = ctypes.CDLL(lib_path[0], ctypes.RTLD_LOCAL)
  File "/usr/lib/python2.7/ctypes/__init__.py", line 362, in __init__
    self._handle = _dlopen(self._name, mode)
OSError: /usr/local/lib/python2.7/dist-packages/mxnet-1.5.0-py2.7.egg/mxnet/libmxnet.so: undefined symbol: mkldnn_primitive_desc_query_memory_d

and at this time, when I run the code *python -c "import mxnet as mx;print((mx.nd.ones((2, 3))2).asnumpy());" ,I got same error.
After this, I install the full MKL , and my steps are follows:

1. form https://software.intel.com/en-us/mkl , and download the full package of Inter Math Kernel Library For Linux.(437M)
2. unzip the .tgz file and run the install.sh

When I do this , I go back to run the command
make -j $(nproc) USE_OPENCV=1 USE_MKLDNN=1 USE_BLAS=mkl USE_INTEL_PATH=/opt/intel
and got same error , Anyone can help?

Environment info (Required)

----------Python Info----------
('Version :', '2.7.12')
('Compiler :', 'GCC 5.4.0 20160609')
('Build :', ('default', 'Nov 12 2018 14:36:49'))
('Arch :', ('64bit', 'ELF'))
------------Pip Info-----------
('Version :', '19.0.3')
('Directory :', '/home/quanzhe/.local/lib/python2.7/site-packages/pip')
----------System Info----------
('Platform :', 'Linux-4.15.0-47-generic-x86_64-with-Ubuntu-16.04-xenial')
('system :', 'Linux')
('node :', 'Ubuntu-AMD-2080Ti')
('release :', '4.15.0-47-generic')
('version :', '#50~16.04.1-Ubuntu SMP Fri Mar 15 16:06:21 UTC 2019')
----------Hardware Info----------
('machine :', 'x86_64')
('processor :', 'x86_64')
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Byte Order: Little Endian
CPU(s): 16
On-line CPU(s) list: 0-15
Thread(s) per core: 2
Core(s) per socket: 8
Socket(s): 1
NUMA node(s): 1
Vendor ID: AuthenticAMD
CPU family: 23
Model: 8
Model name: AMD Ryzen 7 2700X Eight-Core Processor
Stepping: 2
CPU MHz: 2168.932
CPU max MHz: 3700.0000
CPU min MHz: 2200.0000
BogoMIPS: 7399.12
Virtualization: AMD-V
L1d cache: 32K
L1i cache: 64K
L2 cache: 512K
L3 cache: 8192K
NUMA node0 CPU(s): 0-15
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl nonstop_tsc cpuid extd_apicid aperfmperf pni pclmulqdq monitor ssse3 fma cx16 sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpb hw_pstate sme ssbd ibpb vmmcall fsgsbase bmi1 avx2 smep bmi2 rdseed adx smap clflushopt sha_ni xsaveopt xsavec xgetbv1 xsaves clzero irperf xsaveerptr arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif overflow_recov succor smca

What have you tried to solve it?

1.ldd /usr/local/lib/python2.7/dist-packages/mxnet-1.5.0-py2.7.egg/mxnet/libmxnet.so

linux-vdso.so.1 => (0x00007fffed3fd000)
libiomp5.so => /usr/local/lib/libiomp5.so (0x00007f3cae1bb000)
libdl.so.2 => /lib/x86_64-linux-gnu/libdl.so.2 (0x00007f3cadfb7000)
libpthread.so.0 => /lib/x86_64-linux-gnu/libpthread.so.0 (0x00007f3cadd9a000)
libm.so.6 => /lib/x86_64-linux-gnu/libm.so.6 (0x00007f3cada91000)
librt.so.1 => /lib/x86_64-linux-gnu/librt.so.1 (0x00007f3cad889000)
libmkldnn.so.0 => /usr/local/lib/libmkldnn.so.0 (0x00007f3cac934000)
libopencv_highgui.so.2.4 => /usr/lib/x86_64-linux-gnu/libopencv_highgui.so.2.4 (0x00007f3cac6e3000)
libopencv_imgproc.so.2.4 => /usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.2.4 (0x00007f3cac258000)
libopencv_core.so.2.4 => /usr/lib/x86_64-linux-gnu/libopencv_core.so.2.4 (0x00007f3cabe2e000)
libstdc++.so.6 => /usr/lib/x86_64-linux-gnu/libstdc++.so.6 (0x00007f3cabaac000)
libgcc_s.so.1 => /lib/x86_64-linux-gnu/libgcc_s.so.1 (0x00007f3cab896000)
libc.so.6 => /lib/x86_64-linux-gnu/libc.so.6 (0x00007f3cab4cc000)
/lib64/ld-linux-x86-64.so.2 (0x00007f3cb4fe5000)
libmklml_intel.so => /usr/local/lib/libmklml_intel.so (0x00007f3ca3a4e000)
libGL.so.1 => /usr/lib/x86_64-linux-gnu/mesa/libGL.so.1 (0x00007f3ca37da000)
libjpeg.so.8 => /usr/lib/x86_64-linux-gnu/libjpeg.so.8 (0x00007f3ca3581000)
libpng12.so.0 => /lib/x86_64-linux-gnu/libpng12.so.0 (0x00007f3ca335c000)
libtiff.so.5 => /usr/lib/x86_64-linux-gnu/libtiff.so.5 (0x00007f3ca30e7000)
libjasper.so.1 => /usr/lib/x86_64-linux-gnu/libjasper.so.1 (0x00007f3ca2e92000)
libIlmImf-2_2.so.22 => /usr/lib/x86_64-linux-gnu/libIlmImf-2_2.so.22 (0x00007f3ca29c4000)
libHalf.so.12 => /usr/lib/x86_64-linux-gnu/libHalf.so.12 (0x00007f3ca2781000)
libgtk-x11-2.0.so.0 => /usr/lib/x86_64-linux-gnu/libgtk-x11-2.0.so.0 (0x00007f3ca2136000)
libgdk-x11-2.0.so.0 => /usr/lib/x86_64-linux-gnu/libgdk-x11-2.0.so.0 (0x00007f3ca1e81000)
libgobject-2.0.so.0 => /usr/lib/x86_64-linux-gnu/libgobject-2.0.so.0 (0x00007f3ca1c2e000)
libglib-2.0.so.0 => /lib/x86_64-linux-gnu/libglib-2.0.so.0 (0x00007f3ca191d000)
libgtkglext-x11-1.0.so.0 => /usr/lib/x86_64-linux-gnu/libgtkglext-x11-1.0.so.0 (0x00007f3ca1719000)
libgdkglext-x11-1.0.so.0 => /usr/lib/x86_64-linux-gnu/libgdkglext-x11-1.0.so.0 (0x00007f3ca14b5000)
libdc1394.so.22 => /usr/lib/x86_64-linux-gnu/libdc1394.so.22 (0x00007f3ca123f000)
libv4l1.so.0 => /usr/lib/x86_64-linux-gnu/libv4l1.so.0 (0x00007f3ca1039000)
libavcodec-ffmpeg.so.56 => /usr/lib/x86_64-linux-gnu/libavcodec-ffmpeg.so.56 (0x00007f3c9fc08000)
libavformat-ffmpeg.so.56 => /usr/lib/x86_64-linux-gnu/libavformat-ffmpeg.so.56 (0x00007f3c9f809000)
libavutil-ffmpeg.so.54 => /usr/lib/x86_64-linux-gnu/libavutil-ffmpeg.so.54 (0x00007f3c9f59a000)
libswscale-ffmpeg.so.3 => /usr/lib/x86_64-linux-gnu/libswscale-ffmpeg.so.3 (0x00007f3c9f30b000)
libtbb.so.2 => /usr/lib/x86_64-linux-gnu/libtbb.so.2 (0x00007f3c9f0ce000)
libz.so.1 => /lib/x86_64-linux-gnu/libz.so.1 (0x00007f3c9eeb4000)
libexpat.so.1 => /lib/x86_64-linux-gnu/libexpat.so.1 (0x00007f3c9ec8b000)
libxcb-dri3.so.0 => /usr/lib/x86_64-linux-gnu/libxcb-dri3.so.0 (0x00007f3c9ea88000)
libxcb-present.so.0 => /usr/lib/x86_64-linux-gnu/libxcb-present.so.0 (0x00007f3c9e885000)
libxcb-sync.so.1 => /usr/lib/x86_64-linux-gnu/libxcb-sync.so.1 (0x00007f3c9e67e000)
libxshmfence.so.1 => /usr/lib/x86_64-linux-gnu/libxshmfence.so.1 (0x00007f3c9e47b000)
libglapi.so.0 => /usr/lib/x86_64-linux-gnu/libglapi.so.0 (0x00007f3c9e24a000)
libXext.so.6 => /usr/lib/x86_64-linux-gnu/libXext.so.6 (0x00007f3c9e038000)
libXdamage.so.1 => /usr/lib/x86_64-linux-gnu/libXdamage.so.1 (0x00007f3c9de35000)
libXfixes.so.3 => /usr/lib/x86_64-linux-gnu/libXfixes.so.3 (0x00007f3c9dc2f000)
libX11-xcb.so.1 => /usr/lib/x86_64-linux-gnu/libX11-xcb.so.1 (0x00007f3c9da2d000)
libX11.so.6 => /usr/lib/x86_64-linux-gnu/libX11.so.6 (0x00007f3c9d6f3000)
libxcb-glx.so.0 => /usr/lib/x86_64-linux-gnu/libxcb-glx.so.0 (0x00007f3c9d4da000)
libxcb-dri2.so.0 => /usr/lib/x86_64-linux-gnu/libxcb-dri2.so.0 (0x00007f3c9d2d5000)
libxcb.so.1 => /usr/lib/x86_64-linux-gnu/libxcb.so.1 (0x00007f3c9d0b3000)
libXxf86vm.so.1 => /usr/lib/x86_64-linux-gnu/libXxf86vm.so.1 (0x00007f3c9cead000)
libdrm.so.2 => /usr/lib/x86_64-linux-gnu/libdrm.so.2 (0x00007f3c9cc9b000)
liblzma.so.5 => /lib/x86_64-linux-gnu/liblzma.so.5 (0x00007f3c9ca79000)
libjbig.so.0 => /usr/lib/x86_64-linux-gnu/libjbig.so.0 (0x00007f3c9c86b000)
libIex-2_2.so.12 => /usr/lib/x86_64-linux-gnu/libIex-2_2.so.12 (0x00007f3c9c64d000)
libIlmThread-2_2.so.12 => /usr/lib/x86_64-linux-gnu/libIlmThread-2_2.so.12 (0x00007f3c9c446000)
libgmodule-2.0.so.0 => /usr/lib/x86_64-linux-gnu/libgmodule-2.0.so.0 (0x00007f3c9c242000)
libpangocairo-1.0.so.0 => /usr/lib/x86_64-linux-gnu/libpangocairo-1.0.so.0 (0x00007f3c9c035000)
libatk-1.0.so.0 => /usr/lib/x86_64-linux-gnu/libatk-1.0.so.0 (0x00007f3c9be10000)
libcairo.so.2 => /usr/lib/x86_64-linux-gnu/libcairo.so.2 (0x00007f3c9bafc000)
libgdk_pixbuf-2.0.so.0 => /usr/lib/x86_64-linux-gnu/libgdk_pixbuf-2.0.so.0 (0x00007f3c9b8da000)
libgio-2.0.so.0 => /usr/lib/x86_64-linux-gnu/libgio-2.0.so.0 (0x00007f3c9b552000)
libpangoft2-1.0.so.0 => /usr/lib/x86_64-linux-gnu/libpangoft2-1.0.so.0 (0x00007f3c9b33c000)
libpango-1.0.so.0 => /usr/lib/x86_64-linux-gnu/libpango-1.0.so.0 (0x00007f3c9b0f0000)
libfontconfig.so.1 => /usr/lib/x86_64-linux-gnu/libfontconfig.so.1 (0x00007f3c9aead000)
libXrender.so.1 => /usr/lib/x86_64-linux-gnu/libXrender.so.1 (0x00007f3c9aca3000)
libXinerama.so.1 => /usr/lib/x86_64-linux-gnu/libXinerama.so.1 (0x00007f3c9aaa0000)
libXi.so.6 => /usr/lib/x86_64-linux-gnu/libXi.so.6 (0x00007f3c9a890000)
libXrandr.so.2 => /usr/lib/x86_64-linux-gnu/libXrandr.so.2 (0x00007f3c9a685000)
libXcursor.so.1 => /usr/lib/x86_64-linux-gnu/libXcursor.so.1 (0x00007f3c9a47b000)
libXcomposite.so.1 => /usr/lib/x86_64-linux-gnu/libXcomposite.so.1 (0x00007f3c9a278000)
libffi.so.6 => /usr/lib/x86_64-linux-gnu/libffi.so.6 (0x00007f3c9a070000)
libpcre.so.3 => /lib/x86_64-linux-gnu/libpcre.so.3 (0x00007f3c99e00000)
libGLU.so.1 => /usr/lib/x86_64-linux-gnu/libGLU.so.1 (0x00007f3c99b91000)
libXmu.so.6 => /usr/lib/x86_64-linux-gnu/libXmu.so.6 (0x00007f3c99978000)
libpangox-1.0.so.0 => /usr/lib/x86_64-linux-gnu/libpangox-1.0.so.0 (0x00007f3c99758000)
libraw1394.so.11 => /usr/lib/x86_64-linux-gnu/libraw1394.so.11 (0x00007f3c99549000)
libusb-1.0.so.0 => /lib/x86_64-linux-gnu/libusb-1.0.so.0 (0x00007f3c99331000)
libv4l2.so.0 => /usr/lib/x86_64-linux-gnu/libv4l2.so.0 (0x00007f3c99123000)
libswresample-ffmpeg.so.1 => /usr/lib/x86_64-linux-gnu/libswresample-ffmpeg.so.1 (0x00007f3c98f06000)
libva.so.1 => /usr/lib/x86_64-linux-gnu/libva.so.1 (0x00007f3c98cea000)
libzvbi.so.0 => /usr/lib/x86_64-linux-gnu/libzvbi.so.0 (0x00007f3c98a5f000)
libxvidcore.so.4 => /usr/lib/x86_64-linux-gnu/libxvidcore.so.4 (0x00007f3c9874b000)
libx265.so.79 => /usr/lib/x86_64-linux-gnu/libx265.so.79 (0x00007f3c97b2c000)
libx264.so.148 => /usr/lib/x86_64-linux-gnu/libx264.so.148 (0x00007f3c97788000)
libwebp.so.5 => /usr/lib/x86_64-linux-gnu/libwebp.so.5 (0x00007f3c9752c000)
libwavpack.so.1 => /usr/lib/x86_64-linux-gnu/libwavpack.so.1 (0x00007f3c97303000)
libvpx.so.3 => /usr/lib/x86_64-linux-gnu/libvpx.so.3 (0x00007f3c96edf000)
libvorbisenc.so.2 => /usr/lib/x86_64-linux-gnu/libvorbisenc.so.2 (0x00007f3c96c36000)
libvorbis.so.0 => /usr/lib/x86_64-linux-gnu/libvorbis.so.0 (0x00007f3c96a0b000)
libtwolame.so.0 => /usr/lib/x86_64-linux-gnu/libtwolame.so.0 (0x00007f3c967e8000)
libtheoraenc.so.1 => /usr/lib/x86_64-linux-gnu/libtheoraenc.so.1 (0x00007f3c965a9000)
libtheoradec.so.1 => /usr/lib/x86_64-linux-gnu/libtheoradec.so.1 (0x00007f3c9638f000)
libspeex.so.1 => /usr/lib/x86_64-linux-gnu/libspeex.so.1 (0x00007f3c96176000)
libsnappy.so.1 => /usr/lib/x86_64-linux-gnu/libsnappy.so.1 (0x00007f3c95f6e000)
libshine.so.3 => /usr/lib/x86_64-linux-gnu/libshine.so.3 (0x00007f3c95d61000)
libschroedinger-1.0.so.0 => /usr/lib/x86_64-linux-gnu/libschroedinger-1.0.so.0 (0x00007f3c95a8c000)
libopus.so.0 => /usr/lib/x86_64-linux-gnu/libopus.so.0 (0x00007f3c95842000)
libopenjpeg.so.5 => /usr/lib/x86_64-linux-gnu/libopenjpeg.so.5 (0x00007f3c9561f000)
libmp3lame.so.0 => /usr/lib/x86_64-linux-gnu/libmp3lame.so.0 (0x00007f3c953aa000)
libgsm.so.1 => /usr/lib/x86_64-linux-gnu/libgsm.so.1 (0x00007f3c9519c000)
libcrystalhd.so.3 => /usr/lib/x86_64-linux-gnu/libcrystalhd.so.3 (0x00007f3c94f81000)
libssh-gcrypt.so.4 => /usr/lib/x86_64-linux-gnu/libssh-gcrypt.so.4 (0x00007f3c94d38000)
librtmp.so.1 => /usr/lib/x86_64-linux-gnu/librtmp.so.1 (0x00007f3c94b1c000)
libmodplug.so.1 => /usr/lib/x86_64-linux-gnu/libmodplug.so.1 (0x00007f3c94791000)
libgme.so.0 => /usr/lib/x86_64-linux-gnu/libgme.so.0 (0x00007f3c94543000)
libbluray.so.1 => /usr/lib/x86_64-linux-gnu/libbluray.so.1 (0x00007f3c942fa000)
libgnutls.so.30 => /usr/lib/x86_64-linux-gnu/libgnutls.so.30 (0x00007f3c93fca000)
libbz2.so.1.0 => /lib/x86_64-linux-gnu/libbz2.so.1.0 (0x00007f3c93dba000)
libXau.so.6 => /usr/lib/x86_64-linux-gnu/libXau.so.6 (0x00007f3c93bb6000)
libXdmcp.so.6 => /usr/lib/x86_64-linux-gnu/libXdmcp.so.6 (0x00007f3c939b0000)
libfreetype.so.6 => /usr/lib/x86_64-linux-gnu/libfreetype.so.6 (0x00007f3c93706000)
libpixman-1.so.0 => /usr/lib/x86_64-linux-gnu/libpixman-1.so.0 (0x00007f3c9345e000)
libxcb-shm.so.0 => /usr/lib/x86_64-linux-gnu/libxcb-shm.so.0 (0x00007f3c9325a000)
libxcb-render.so.0 => /usr/lib/x86_64-linux-gnu/libxcb-render.so.0 (0x00007f3c93050000)
libselinux.so.1 => /lib/x86_64-linux-gnu/libselinux.so.1 (0x00007f3c92e2e000)
libresolv.so.2 => /lib/x86_64-linux-gnu/libresolv.so.2 (0x00007f3c92c13000)
libharfbuzz.so.0 => /usr/lib/x86_64-linux-gnu/libharfbuzz.so.0 (0x00007f3c929b5000)
libthai.so.0 => /usr/lib/x86_64-linux-gnu/libthai.so.0 (0x00007f3c927ac000)
libXt.so.6 => /usr/lib/x86_64-linux-gnu/libXt.so.6 (0x00007f3c92543000)
libudev.so.1 => /lib/x86_64-linux-gnu/libudev.so.1 (0x00007f3cb51a4000)
libv4lconvert.so.0 => /usr/lib/x86_64-linux-gnu/libv4lconvert.so.0 (0x00007f3c922c9000)
libsoxr.so.0 => /usr/lib/x86_64-linux-gnu/libsoxr.so.0 (0x00007f3c92064000)
libnuma.so.1 => /usr/lib/x86_64-linux-gnu/libnuma.so.1 (0x00007f3c91e59000)
libogg.so.0 => /usr/lib/x86_64-linux-gnu/libogg.so.0 (0x00007f3c91c50000)
liborc-0.4.so.0 => /usr/lib/x86_64-linux-gnu/liborc-0.4.so.0 (0x00007f3c919d0000)
libgcrypt.so.20 => /lib/x86_64-linux-gnu/libgcrypt.so.20 (0x00007f3c916ef000)
libgssapi_krb5.so.2 => /usr/lib/x86_64-linux-gnu/libgssapi_krb5.so.2 (0x00007f3c914a5000)
libhogweed.so.4 => /usr/lib/x86_64-linux-gnu/libhogweed.so.4 (0x00007f3c91272000)
libnettle.so.6 => /usr/lib/x86_64-linux-gnu/libnettle.so.6 (0x00007f3c9103c000)
libgmp.so.10 => /usr/lib/x86_64-linux-gnu/libgmp.so.10 (0x00007f3c90dbc000)
libxml2.so.2 => /usr/lib/x86_64-linux-gnu/libxml2.so.2 (0x00007f3c90a01000)
libp11-kit.so.0 => /usr/lib/x86_64-linux-gnu/libp11-kit.so.0 (0x00007f3c9079d000)
libidn.so.11 => /usr/lib/x86_64-linux-gnu/libidn.so.11 (0x00007f3c9056a000)
libtasn1.so.6 => /usr/lib/x86_64-linux-gnu/libtasn1.so.6 (0x00007f3c90357000)
libgraphite2.so.3 => /usr/lib/x86_64-linux-gnu/libgraphite2.so.3 (0x00007f3c90131000)
libdatrie.so.1 => /usr/lib/x86_64-linux-gnu/libdatrie.so.1 (0x00007f3c8ff29000)
libSM.so.6 => /usr/lib/x86_64-linux-gnu/libSM.so.6 (0x00007f3c8fd21000)
libICE.so.6 => /usr/lib/x86_64-linux-gnu/libICE.so.6 (0x00007f3c8fb07000)
libgomp.so.1 => /usr/lib/x86_64-linux-gnu/libgomp.so.1 (0x00007f3c8f8e5000)
libgpg-error.so.0 => /lib/x86_64-linux-gnu/libgpg-error.so.0 (0x00007f3c8f6d1000)
libkrb5.so.3 => /usr/lib/x86_64-linux-gnu/libkrb5.so.3 (0x00007f3c8f3ff000)
libk5crypto.so.3 => /usr/lib/x86_64-linux-gnu/libk5crypto.so.3 (0x00007f3c8f1d0000)
libcom_err.so.2 => /lib/x86_64-linux-gnu/libcom_err.so.2 (0x00007f3c8efcc000)
libkrb5support.so.0 => /usr/lib/x86_64-linux-gnu/libkrb5support.so.0 (0x00007f3c8edc1000)
libicuuc.so.55 => /usr/lib/x86_64-linux-gnu/libicuuc.so.55 (0x00007f3c8ea2d000)
libuuid.so.1 => /lib/x86_64-linux-gnu/libuuid.so.1 (0x00007f3c8e828000)
libkeyutils.so.1 => /lib/x86_64-linux-gnu/libkeyutils.so.1 (0x00007f3c8e624000)
libicudata.so.55 => /usr/lib/x86_64-linux-gnu/libicudata.so.55 (0x00007f3c8cb6d000)

ldd /usr/local/lib/libmkldnn.so

linux-vdso.so.1 => (0x00007ffeb2ad6000)
libmklml_intel.so => /usr/local/lib/libmklml_intel.so (0x00007ffbda65b000)
libiomp5.so => /usr/local/lib/libiomp5.so (0x00007ffbda27f000)
libdl.so.2 => /lib/x86_64-linux-gnu/libdl.so.2 (0x00007ffbda07b000)
libstdc++.so.6 => /usr/lib/x86_64-linux-gnu/libstdc++.so.6 (0x00007ffbd9cf9000)
libm.so.6 => /lib/x86_64-linux-gnu/libm.so.6 (0x00007ffbd99f0000)
libgcc_s.so.1 => /lib/x86_64-linux-gnu/libgcc_s.so.1 (0x00007ffbd97da000)
libc.so.6 => /lib/x86_64-linux-gnu/libc.so.6 (0x00007ffbd9410000)
/lib64/ld-linux-x86-64.so.2 (0x00007ffbe302e000)
libpthread.so.0 => /lib/x86_64-linux-gnu/libpthread.so.0 (0x00007ffbd91f3000)

*/home/henan/incubator-mxnet$ find . -name mklml_intel.so
./3rdparty/mkldnn/build/install/lib/libmklml_intel.so
./3rdparty/mkldnn/external/mklml_lnx_2019.0.5.20190502/lib/libmklml_intel.so
./lib/libmklml_intel.so
Is there are some faults in my install steps? Hope someone can help!

[mxnet-label-bot]

Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try and suggest some labels so that the appropriate MXNet community members can help resolve it.
Here are my recommended labels: Installation

[TaoLv]

Looks like that MXNet links to a old version of MKL-DNN in your system.

[knjwhn]

Looks like that MXNet links to a old version of MKL-DNN in your system.

The MKL-DNN is from the 3rdparty of MXNet, By the way, can you tell me how to try a new version of MKL-DNN,can I just replace the folder in the 3rdparty or I should change the makefile. Thanks a lot.

[TaoLv]

There is no need to update MKL-DNN manually.
After calling make -j $(nproc) USE_OPENCV=1 USE_MKLDNN=1 USE_BLAS=openblas USE_INTEL_PATH=/opt/intel, you should get a lib folder under the mxnet root directory. You can find mkldnn and mklml libraries in the lib folder.
Please try to export PYTHONPATH=<mxnet root directory>/python, and then run the validation script. cc @yinghu5

[knjwhn]

There is no need to update MKL-DNN manually.
After calling make -j $(nproc) USE_OPENCV=1 USE_MKLDNN=1 USE_BLAS=openblas USE_INTEL_PATH=/opt/intel, you should get a lib folder under the mxnet root directory. You can find mkldnn and mklml libraries in the lib folder.
Please try to export PYTHONPATH=<mxnet root directory>/python, and then run the validation script. cc @yinghu5

I'm so sorry that I can't find the validation script.cc from your given information, could you tell me where it is? Thanks so much!

[TaoLv]

I mean:

import mxnet as mx
import numpy as np

num_filter = 32
kernel = (3, 3)
pad = (1, 1)
shape = (32, 32, 256, 256)

x = mx.sym.Variable('x')
w = mx.sym.Variable('w')
y = mx.sym.Convolution(data=x, weight=w, num_filter=num_filter, kernel=kernel, no_bias=True, pad=pad)
exe = y.simple_bind(mx.cpu(), x=shape)

exe.arg_arrays[0][:] = np.random.normal(size=exe.arg_arrays[0].shape)
exe.arg_arrays[1][:] = np.random.normal(size=exe.arg_arrays[1].shape)

exe.forward(is_train=False)
o = exe.outputs[0]
t = o.asnumpy()

[knjwhn]

I mean:

import mxnet as mx
import numpy as np

num_filter = 32
kernel = (3, 3)
pad = (1, 1)
shape = (32, 32, 256, 256)

x = mx.sym.Variable('x')
w = mx.sym.Variable('w')
y = mx.sym.Convolution(data=x, weight=w, num_filter=num_filter, kernel=kernel, no_bias=True, pad=pad)
exe = y.simple_bind(mx.cpu(), x=shape)

exe.arg_arrays[0][:] = np.random.normal(size=exe.arg_arrays[0].shape)
exe.arg_arrays[1][:] = np.random.normal(size=exe.arg_arrays[1].shape)

exe.forward(is_train=False)
o = exe.outputs[0]
t = o.asnumpy()

Ohh,Ok,sorry I'm so stupid, I've done this, but get the same error , But still thanks a lot

[TaoLv]

MXNet should link to the mkldnn.so under the incubator-mxnet/lib folder. But from the ldd info, it links to the one under /usr/local/lib/. It's strange to me.

[knjwhn]

MXNet should link to the mkldnn.so under the incubator-mxnet/lib folder. But from the ldd info, it links to the one under /usr/local/lib/. It's strange to me.

Thanks !!! it works !! and here is another question: When I run the validation script. cc and set the MKLDNN_VERBOSE=1, I can see the debugging logs.But when I try to run the code in examples, such as train_mnist.py, there is no debugging logs anymore, Do you know about this? Sorry to bother you, I am still a beginner, Thanks again !!!

[TaoLv]

Great to hear it works now! In order to see MKL-DNN verbose log, you need:

1. export MKLDNN_VERBOSE=1
2. make sure MKL-DNN operator/primitive is invoked.

I can see MKL-DNN verbose log on my side:

export MKLDNN_VERBOSE=1
python train_mnist.py
/home/lvtao/.local/lib/python2.7/site-packages/h5py/__init__.py:34: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  from ._conv import register_converters as _register_converters
INFO:root:start with arguments Namespace(add_stn=False, batch_size=64, disp_batches=100, dtype='float32', gc_threshold=0.5, gc_type='none', gpus=None, image_shape='1, 28, 28', initializer='default', kv_store='device', load_epoch=None, loss='', lr=0.05, lr_factor=0.1, lr_step_epochs='10', macrobatch_size=0, model_prefix=None, mom=0.9, monitor=0, network='mlp', num_classes=10, num_epochs=20, num_examples=60000, num_layers=None, optimizer='sgd', profile_server_suffix='', profile_worker_suffix='', save_period=1, test_io=0, top_k=0, warmup_epochs=5, warmup_strategy='linear', wd=0.0001)
mkldnn_verbose,exec,inner_product,gemm:blas,forward_training,fsrc:nc fwei:oi fbia:x fdst:nc,,mb64ic784oc128,61.6921
mkldnn_verbose,exec,eltwise,jit:avx512_common,forward_training,fdata:nc fdiff:undef,alg:eltwise_relu,mb64ic128,0.0339355
mkldnn_verbose,exec,inner_product,gemm:blas,forward_training,fsrc:nc fwei:oi fbia:x fdst:nc,,mb64ic128oc64,0.0559082
mkldnn_verbose,exec,eltwise,jit:avx512_common,forward_training,fdata:nc fdiff:undef,alg:eltwise_relu,mb64ic64,0.00585938
mkldnn_verbose,exec,inner_product,gemm:blas,forward_training,fsrc:nc fwei:oi fbia:x fdst:nc,,mb64ic64oc10,0.0300293
mkldnn_verbose,exec,eltwise,jit:avx512_common,backward_data,fdata:nc fdiff:nc,alg:eltwise_relu,mb64ic64,0.0571289
mkldnn_verbose,exec,reorder,simple:any,undef,in:f32_nc out:f32_nc,num:1,64x64,0.0478516
mkldnn_verbose,exec,eltwise,jit:avx512_common,backward_data,fdata:nc fdiff:nc,alg:eltwise_relu,mb64ic128,0.026123
mkldnn_verbose,exec,reorder,simple:any,undef,in:f32_nc out:f32_nc,num:1,64x128,0.00610352
......

[pengzhao-intel]

Resolved and closing.