barkntuncer opened a new issue #10636: How to install mxnet for CUDA8.0 properly? mxnet-cu80 error URL: https://github.com/apache/incubator-mxnet/issues/10636 ## Description Trying to install mxnet for CUDA-8.0 with mxnet-cu80 while following [here](https://mxnet.incubator.apache.org/install/index.html). When I try the python code below on the page, it gives error. ## Environment info (Required) Ubuntu 16.4 Python 3.5.2 CUDA-8.0 nvidia 950m ``` What to do: 1. Download the diagnosis script from https://raw.githubusercontent.com/apache/incubator-mxnet/master/tools/diagnose.py 2. Run the script using `python diagnose.py` and paste its output here. ----------Python Info---------- Version : 3.5.2 Compiler : GCC 5.4.0 20160609 Build : ('default', 'Nov 23 2017 16:37:01') Arch : ('64bit', 'ELF') ------------Pip Info----------- Version : 8.1.1 Directory : /usr/lib/python3/dist-packages/pip ----------MXNet Info----------- Version : 0.11.0 Directory : /usr/local/lib/python3.5/dist-packages/mxnet Commit Hash : 53274b4a2b0d73f3fbdb10cfb5f9ed0c8263fda7 ----------System Info---------- Platform : Linux-4.13.0-37-generic-x86_64-with-Ubuntu-16.04-xenial system : Linux node : barkntuncer release : 4.13.0-37-generic version : #42~16.04.1-Ubuntu SMP Wed Mar 7 16:03:28 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): 8 On-line CPU(s) list: 0-7 Thread(s) per core: 2 Core(s) per socket: 4 Socket(s): 1 NUMA node(s): 1 Vendor ID: GenuineIntel CPU family: 6 Model: 94 Model name: Intel(R) Core(TM) i7-6700HQ CPU @ 2.60GHz Stepping: 3 CPU MHz: 2600.000 CPU max MHz: 3500,0000 CPU min MHz: 800,0000 BogoMIPS: 5184.00 Virtualization: VT-x L1d cache: 32K L1i cache: 32K L2 cache: 256K L3 cache: 6144K NUMA node0 CPU(s): 0-7 Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf tsc_known_freq pni pclmulqdq dtes64 monitor ds_cpl vmx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb invpcid_single pti retpoline intel_pt rsb_ctxsw tpr_shadow vnmi flexpriority ept vpid fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm mpx rdseed adx smap clflushopt xsaveopt xsavec xgetbv1 xsaves dtherm ida arat pln pts hwp hwp_notify hwp_act_window hwp_epp ----------Network Test---------- Setting timeout: 10 Timing for Gluon Tutorial(cn): https://zh.gluon.ai, DNS: 0.0031 sec, LOAD: 0.2751 sec. Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.1011 sec, LOAD: 1.1429 sec. Timing for Gluon Tutorial(en): http://gluon.mxnet.io, DNS: 0.0016 sec, LOAD: 0.1321 sec. Timing for FashionMNIST: https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.0009 sec, LOAD: 0.5194 sec. Timing for Conda: https://repo.continuum.io/pkgs/free/, DNS: 0.0014 sec, LOAD: 0.2902 sec. Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0010 sec, LOAD: 1.0151 sec. ``` Package used (Python/R/Scala/Julia): (I'm using PYTHON) For Scala user, please provide: 1. Java version: (`java -version`) 2. Maven version: (`mvn -version`) 3. Scala runtime if applicable: (`scala -version`) For R user, please provide R `sessionInfo()`: ## Build info (Required if built from source) Compiler (gcc/clang/mingw/visual studio): MXNet commit hash: (Paste the output of `git rev-parse HEAD` here.) Build config: (Paste the content of config.mk, or the build command.) ## Error Message: (Paste the complete error message, including stack trace.) terminate called after throwing an instance of 'dmlc::Errorterminate called after throwing an instance of 'dmlc::Error' ' what(): [18:32:00] /home/travis/build/dmlc/mxnet-distro/mxnet-build/mshadow/mshadow/./tensor_gpu-inl.h:35: Check failed: e == cudaSuccess CUDA: unknown error Stack trace returned 9 entries: [bt] (0) /usr/local/lib/python3.5/dist-packages/mxnet/libmxnet.so(+0x2ab998) [0x7fb7a6b54998] [bt] (1) /usr/local/lib/python3.5/dist-packages/mxnet/libmxnet.so(+0x2abda8) [0x7fb7a6b54da8] [bt] (2) /usr/local/lib/python3.5/dist-packages/mxnet/libmxnet.so(+0x2443560) [0x7fb7a8cec560] [bt] (3) /usr/local/lib/python3.5/dist-packages/mxnet/libmxnet.so(+0x2447f89) [0x7fb7a8cf0f89] [bt] (4) /usr/local/lib/python3.5/dist-packages/mxnet/libmxnet.so(+0x24481f6) [0x7fb7a8cf11f6] [bt] (5) /usr/local/lib/python3.5/dist-packages/mxnet/libmxnet.so(+0x2444acb) [0x7fb7a8cedacb] [bt] (6) /usr/lib/x86_64-linux-gnu/libstdc++.so.6(+0xb8c80) [0x7fb7d617ec80] [bt] (7) /lib/x86_64-linux-gnu/libpthread.so.0(+0x76ba) [0x7fb7dbf946ba] [bt] (8) /lib/x86_64-linux-gnu/libc.so.6(clone+0x6d) [0x7fb7dbcca41d] what(): [18:32:00] /home/travis/build/dmlc/mxnet-distro/mxnet-build/mshadow/mshadow/./tensor_gpu-inl.h:35: Check failed: e == cudaSuccess CUDA: unknown error Stack trace returned 9 entries: [bt] (0) /usr/local/lib/python3.5/dist-packages/mxnet/libmxnet.so(+0x2ab998) [0x7fb7a6b54998] [bt] (1) /usr/local/lib/python3.5/dist-packages/mxnet/libmxnet.so(+0x2abda8) [0x7fb7a6b54da8] [bt] (2) /usr/local/lib/python3.5/dist-packages/mxnet/libmxnet.so(+0x2443560) [0x7fb7a8cec560] [bt] (3) /usr/local/lib/python3.5/dist-packages/mxnet/libmxnet.so(+0x2447f89) [0x7fb7a8cf0f89] [bt] (4) /usr/local/lib/python3.5/dist-packages/mxnet/libmxnet.so(+0x24481f6) [0x7fb7a8cf11f6] [bt] (5) /usr/local/lib/python3.5/dist-packages/mxnet/libmxnet.so(+0x2444acb) [0x7fb7a8cedacb] [bt] (6) /usr/lib/x86_64-linux-gnu/libstdc++.so.6(+0xb8c80) [0x7fb7d617ec80] [bt] (7) /lib/x86_64-linux-gnu/libpthread.so.0(+0x76ba) [0x7fb7dbf946ba] [bt] (8) /lib/x86_64-linux-gnu/libc.so.6(clone+0x6d) [0x7fb7dbcca41d] Aborted (core dumped) ## 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.) >>> import mxnet as mx >>> a = mx.nd.ones((2, 3), mx.gpu()) I do not understand this line what(): [20:38:55] /home/travis/build/dmlc/mxnet-distro/mxnet-build/mshadow/mshadow/./tensor_gpu-inl.h:35: Check failed: e == cudaSuccess CUDA: unknown error As I do not own any directory called travis. Or anything like this.
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