elofgren opened a new issue #11890: Error During Make - undefined reference URL: https://github.com/apache/incubator-mxnet/issues/11890 Trying to install the mxnet library on Scientific Linux 7. I've changed the flag in mshadow/make/mshadow.mk to use -lsatlas. This has allowed the installation to progress considerably further, but it still ends with a 1 exit status. The error I'm getting now is below: > c/c_api/c_api_error.o build/src/executor/inplace_addto_detect_pass.o build/src/executor/graph_executor.o build/src/executor/infer_graph_attr_pass.o build/src/executor/attach_op_execs_pass.o build/src/executor/attach_op_resource_pass.o build/src/kvstore/gradient_compression.o build/src/kvstore/kvstore_utils.o build/src/kvstore/kvstore.o build/src/resource.o build/src/initialize.o /home/elofgren/mxnet/3rdparty/dmlc-core/libdmlc.a /home/elofgren/mxnet/3rdparty/tvm/nnvm/lib/libnnvm.a -pthread -lm -lsatlas -L/usr/lib64/atlas -fopenmp -lrt -lopencv_calib3d -lopencv_contrib -lopencv_core -lopencv_features2d -lopencv_flann -lopencv_highgui -lopencv_imgproc -lopencv_legacy -lopencv_ml -lopencv_objdetect -lopencv_photo -lopencv_stitching -lopencv_superres -lopencv_video -lopencv_videostab -llapack > a - build/src/operator/leaky_relu.o > a - build/src/operator/identity_attach_KL_sparse_reg.o > a - build/src/operator/make_loss.o > a - build/src/operator/operator.o > a - build/src/operator/operator_tune.o > a - build/src/operator/correlation.o > a - build/src/operator/operator_util.o > a - build/src/operator/spatial_transformer.o > a - build/src/operator/slice_channel.o > a - build/src/operator/sequence_mask.o > a - build/src/operator/optimizer_op.o > a - build/src/engine/naive_engine.o > a - build/src/engine/openmp.o > a - build/src/engine/threaded_engine_pooled.o > a - build/src/engine/threaded_engine.o > a - build/src/engine/engine.o > a - build/src/engine/threaded_engine_perdevice.o > a - build/src/storage/storage.o > a - build/src/c_api/c_api_executor.o > a - build/src/c_api/c_api_symbolic.o > a - build/src/c_api/c_api_profile.o > a - build/src/c_api/c_api_ndarray.o > a - build/src/c_api/c_predict_api.o > a - build/src/c_api/c_api_function.o > a - build/src/c_api/c_api.o > a - build/src/c_api/c_api_error.o > a - build/src/executor/inplace_addto_detect_pass.o > a - build/src/executor/graph_executor.o > a - build/src/executor/infer_graph_attr_pass.o > a - build/src/executor/attach_op_execs_pass.o > a - build/src/executor/attach_op_resource_pass.o > a - build/src/kvstore/gradient_compression.o > a - build/src/kvstore/kvstore_utils.o > a - build/src/kvstore/kvstore.o > a - build/src/resource.o > a - build/src/initialize.o > /tmp/ccFF5lC6.o: In function `main': > im2rec.cc:(.text.startup+0x28fb): undefined reference to `cv::imencode(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, cv::_InputArray const&, std::vector<unsigned char, std::allocator<unsigned char> >&, std::vector<int, std::allocator<int> > const&)' > collect2: error: ld returned 1 exit status > make: *** [bin/im2rec] Error 1 Any idea what's generating this, or how to fix it? Below are the results of diagnose.py, for reference: ----------Python Info---------- ('Version :', '2.7.15') ('Compiler :', 'GCC 7.2.0') ('Build :', ('default', 'May 1 2018 23:32:55')) ('Arch :', ('64bit', '')) ------------Pip Info----------- ('Version :', '10.0.1') ('Directory :', '/home/user/anaconda2/lib/python2.7/site-packages/pip') ----------MXNet Info----------- No MXNet installed. ----------System Info---------- ('Platform :', 'Linux-3.10.0-862.6.3.el7.x86_64-x86_64-with-redhat-7.4-Nitrogen') ('system :', 'Linux') ('node :', 'thisisnottherealname.wsu.edu') ('release :', '3.10.0-862.6.3.el7.x86_64') ('version :', '#1 SMP Tue Jun 26 12:13:22 CDT 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): 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: GenuineIntel CPU family: 6 Model: 63 Model name: Intel(R) Core(TM) i7-5960X CPU @ 3.00GHz Stepping: 2 CPU MHz: 1385.009 CPU max MHz: 3300.0000 CPU min MHz: 1200.0000 BogoMIPS: 7496.74 Virtualization: VT-x L1d cache: 32K L1i cache: 32K L2 cache: 256K L3 cache: 20480K 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 dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc aperfmperf eagerfpu pni pclmulqdq dtes64 monitor ds_cpl vmx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm epb intel_ppin ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid cqm xsaveopt cqm_llc cqm_occup_llc dtherm ida arat pln pts spec_ctrl intel_stibp ----------Network Test---------- Setting timeout: 10 Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0032 sec, LOAD: 0.5423 sec. Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0234 sec, LOAD: 0.6100 sec. Timing for FashionMNIST: https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.1200 sec, LOAD: 0.2219 sec. Timing for Conda: https://repo.continuum.io/pkgs/free/, DNS: 0.0230 sec, LOAD: 0.6329 sec. Timing for Gluon Tutorial(en): http://gluon.mxnet.io, DNS: 0.1685 sec, LOAD: 0.3532 sec. Timing for Gluon Tutorial(cn): https://zh.gluon.ai, DNS: 1.2911 sec, LOAD: 1.1775 sec.
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