access2rohit opened a new issue #16732: MKLDNN-1.0 doesn't support slice operator URL: https://github.com/apache/incubator-mxnet/issues/16732 ## Description when MXNet is built for CPU MKL slice operator doesn't work. ### Error Message `could not initialize a sub-memory` ## To Reproduce Use MXNET cpu build with MKL and MKLDNN enabled from master ### Steps to reproduce (Paste the commands you ran that produced the error.) 1. Run command `MXNET_TEST_COUNT=1 nosetests --logging-level=DEBUG --verbose -s tests/nightly/test_large_array.py:test_slice` ## Environment Ubuntu 16.04 DeepLearning AMI We recommend using our script for collecting the diagnositc information. Run the following command and paste the outputs below: ``` curl --retry 10 -s https://raw.githubusercontent.com/dmlc/gluon-nlp/master/tools/diagnose.py | python # paste outputs here ``` ----------Python Info---------- Version : 3.6.4 Compiler : GCC 7.2.0 Build : ('default', 'Jan 16 2018 18:10:19') Arch : ('64bit', '') ------------Pip Info----------- Version : 18.0 Directory : /home/ubuntu/anaconda3/lib/python3.6/site-packages/pip ----------MXNet Info----------- /home/ubuntu/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:36: 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 Version : 1.6.0 Directory : /home/ubuntu/incubator-mxnet/python/mxnet Num GPUs : 0 Hashtag not found. Not installed from pre-built package. ----------System Info---------- Platform : Linux-4.4.0-1095-aws-x86_64-with-debian-stretch-sid system : Linux node : ip-172-31-82-110 release : 4.4.0-1095-aws version : #106-Ubuntu SMP Wed Sep 18 13:33:48 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): 32 On-line CPU(s) list: 0-31 Thread(s) per core: 2 Core(s) per socket: 16 Socket(s): 1 NUMA node(s): 1 Vendor ID: GenuineIntel CPU family: 6 Model: 79 Model name: Intel(R) Xeon(R) CPU E5-2686 v4 @ 2.30GHz Stepping: 1 CPU MHz: 2700.882 CPU max MHz: 3000.0000 CPU min MHz: 1200.0000 BogoMIPS: 4600.08 Hypervisor vendor: Xen Virtualization type: full L1d cache: 32K L1i cache: 32K L2 cache: 256K L3 cache: 46080K NUMA node0 CPU(s): 0-31 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 pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc aperfmperf pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single kaiser fsgsbase bmi1 hle avx2 smep bmi2 erms invpcid rtm rdseed adx xsaveopt ----------Network Test---------- Setting timeout: 10 Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0127 sec, LOAD: 0.4722 sec. Timing for GluonNLP GitHub: https://github.com/dmlc/gluon-nlp, DNS: 0.0003 sec, LOAD: 0.3578 sec. Timing for GluonNLP: http://gluon-nlp.mxnet.io, DNS: 0.0976 sec, LOAD: 0.0698 sec. Timing for D2L: http://d2l.ai, DNS: 0.0259 sec, LOAD: 0.1256 sec. Timing for D2L (zh-cn): http://zh.d2l.ai, DNS: 0.1084 sec, LOAD: 0.1252 sec. Timing for FashionMNIST: https://repo.mxnet.io/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.0288 sec, LOAD: 0.4309 sec. Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0025 sec, LOAD: 0.0944 sec. Timing for Conda: https://repo.continuum.io/pkgs/free/, DNS: 0.0015 sec, LOAD: 0.0324 sec.
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