kkurni opened a new issue #15998: Build MXNET with GPU but fail to import mxnet on CPU machine URL: https://github.com/apache/incubator-mxnet/issues/15998 ## Description I tried to build mxnet with WARP_CTC enabled. I need to run this mxnet on docker image with GPU But I also need to run testing on CPU machine. What is the build parameter that best for this purpose? I tried to build using this make parameter ``` make -j$(nproc) USE_OPENCV=0 USE_BLAS=openblas USE_CUDA=1 USE_CUDA_PATH=/usr/local/cuda USE_CUDNN=1 USE_MKLDNN=0 WARPCTC_PATH=$(HOME)/warp-ctc MXNET_PLUGINS+=plugin/warpctc/warpctc.mk ``` But I get error on CPU machine during the import mxnet ``` import mxnet as mx File "/root/.local/lib/python2.7/site-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 "/root/.local/lib/python2.7/site-packages/mxnet-1.5.0-py2.7.egg/mxnet/context.py", line 24, in <module> from .base import classproperty, with_metaclass, _MXClassPropertyMetaClass File "/root/.local/lib/python2.7/site-packages/mxnet-1.5.0-py2.7.egg/mxnet/base.py", line 213, in <module> _LIB = _load_lib() File "/root/.local/lib/python2.7/site-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 366, in __init__ self._handle = _dlopen(self._name, mode) ``` ## Environment info (Required) ``` ----------System Info---------- ('Platform :', 'Linux-4.9.137-0.1.ac.218.74.329.metal1.x86_64-x86_64-with-Ubuntu-18.04-bionic') ('system :', 'Linux') ('node :', '587cde01f292') ('release :', '4.9.137-0.1.ac.218.74.329.metal1.x86_64') ('version :', '#1 SMP Wed Dec 5 15:11:05 UTC 2018') ----------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): 36 On-line CPU(s) list: 0-35 Thread(s) per core: 2 Core(s) per socket: 9 Socket(s): 2 NUMA node(s): 2 Vendor ID: GenuineIntel CPU family: 6 Model: 63 Model name: Intel(R) Xeon(R) CPU E5-2666 v3 @ 2.90GHz Stepping: 2 CPU MHz: 3200.195 CPU max MHz: 3500.0000 CPU min MHz: 1200.0000 BogoMIPS: 5800.11 Hypervisor vendor: Xen Virtualization type: full L1d cache: 32K L1i cache: 32K L2 cache: 256K L3 cache: 25600K NUMA node0 CPU(s): 0-8,18-26 NUMA node1 CPU(s): 9-17,27-35 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 monitor est ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm invpcid_single kaiser fsgsbase bmi1 avx2 smep bmi2 erms invpcid xsaveopt ida ----------Network Test---------- Setting timeout: 10 Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0069 sec, LOAD: 0.4071 sec. Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0088 sec, LOAD: 0.3336 sec. Timing for FashionMNIST: https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.0143 sec, LOAD: 0.0973 sec. Timing for Conda: https://repo.continuum.io/pkgs/free/, DNS: 0.0198 sec, LOAD: 0.0754 sec. Timing for Gluon Tutorial(en): http://gluon.mxnet.io, DNS: 0.0266 sec, LOAD: 0.1091 sec. Timing for Gluon Tutorial(cn): https://zh.gluon.ai, DNS: 0.0143 sec, LOAD: 0.0627 sec. ``` Package used (Python/R/Scala/Julia): Python ``` Python 2.7.15+ (default, Nov 27 2018, 23:36:35) [GCC 7.3.0] on linux2 ``` ## Build info (Required if built from source) Compiler (gcc/clang/mingw/visual studio): ``` make -j$(nproc) USE_OPENCV=0 USE_BLAS=openblas USE_CUDA=1 USE_CUDA_PATH=/usr/local/cuda USE_CUDNN=1 USE_MKLDNN=0 WARPCTC_PATH=$(HOME)/warp-ctc MXNET_PLUGINS+=plugin/warpctc/warpctc.mk ``` MXNet commit hash: (Paste the output of `git rev-parse HEAD` here.) v1.5.x ``` commit 42746bc73e8bcb75bfcadd1398e6f71bc170fa10 (HEAD -> v1.5.x, origin/v1.5.x) ``` Build config: (Paste the content of config.mk, or the build command.) ``` make -j$(nproc) USE_OPENCV=0 USE_BLAS=openblas USE_CUDA=1 USE_CUDA_PATH=/usr/local/cuda USE_CUDNN=1 USE_MKLDNN=0 WARPCTC_PATH=$(HOME)/warp-ctc MXNET_PLUGINS+=plugin/warpctc/warpctc.mk ``` ## Error Message: (Paste the complete error message, including stack trace.) on CPU machine ``` import mxnet as mx File "/root/.local/lib/python2.7/site-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 "/root/.local/lib/python2.7/site-packages/mxnet-1.5.0-py2.7.egg/mxnet/context.py", line 24, in <module> from .base import classproperty, with_metaclass, _MXClassPropertyMetaClass File "/root/.local/lib/python2.7/site-packages/mxnet-1.5.0-py2.7.egg/mxnet/base.py", line 213, in <module> _LIB = _load_lib() File "/root/.local/lib/python2.7/site-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 366, in __init__ self._handle = _dlopen(self._name, mode) ``` ## Minimum reproducible example (If you are using your own code, please provide a short script that reproduces the error. Otherwise, please provide link to the existing example.) ## Steps to reproduce (Paste the commands you ran that produced the error.) 1. build with CUDA enabled 2. import mxnet on CPU machine
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