Open jacky4323 opened 6 years ago
Can you share your system info?
And are you just following the instructions here: https://mxnet.incubator.apache.org/install/index.html?platform=Linux&language=Python&processor=GPU ?
Hi,
oregion verson I had 1.0.0 and link [https://github.com/apache/incubator-mxnet/releases/tag/1.0.0]
thanks for any kind of suggestion.
cmake log
-- CMAKE_SYSTEM_NAME Linux -- CMake version '3.5.1' using generator 'Unix Makefiles' -- download mklml -- CMAKE_BUILD_TYPE is unset, defaulting to Release -- Detecting Intel(R) MKL: trying mklml_intel -- Intel(R) MKL: include /home/jacky4323/BMXNet_update_Test/incubator-mxnet/build/Release/mklml/mklml_lnx_2018.0.3.20180406/include -- Intel(R) MKL: lib /home/jacky4323/BMXNet_update_Test/incubator-mxnet/build/Release/mklml/mklml_lnx_2018.0.3.20180406/lib/libmklml_intel.so -- Intel(R) MKL: OpenMP lib /home/jacky4323/BMXNet_update_Test/incubator-mxnet/build/Release/mklml/mklml_lnx_2018.0.3.20180406/lib/libiomp5.so -- Could NOT find Doxygen (missing: DOXYGEN_EXECUTABLE) -- VTune profiling environment is unset -- Could NOT find MKL (missing: MKL_INCLUDE_DIR MKLML_GNU_LIBRARY MKLDNN_LIBRARY) -- Found OpenBLAS libraries: /usr/lib/libopenblas.so -- Found OpenBLAS include: /usr/include -- CUDA detected: 8.0 -- Found cuDNN (include: /usr/local/cuda-8.0/include, library: /usr/local/cuda-8.0/lib64/libcudnn.so) -- Running GPU architecture autodetection -- Found CUDA arch 6.1 6.1 6.1 -- Added CUDA NVCC flags for: sm_61 -- Could NOT find Gperftools (missing: GPERFTOOLS_LIBRARIES GPERFTOOLS_INCLUDE_DIR) -- Could NOT find Jemalloc (missing: JEMALLOC_LIBRARY JEMALLOC_INCLUDE_DIR) -- OpenCV_LIBS=opencv_core;opencv_highgui;opencv_imgproc;opencv_imgcodecs -- OpenCV 3.3.1 found (/usr/local/share/OpenCV) -- LIBOMP: Operating System -- Linux -- LIBOMP: Target Architecture -- x86_64 -- LIBOMP: Build Type -- Release -- LIBOMP: OpenMP Version -- 50 -- LIBOMP: Library Kind -- SHARED -- LIBOMP: Library Type -- normal -- LIBOMP: Fortran Modules -- FALSE -- LIBOMP: Build -- 20140926 -- LIBOMP: Use Stats-gathering -- FALSE -- LIBOMP: Use Debugger-support -- FALSE -- LIBOMP: Use ITT notify -- TRUE -- LIBOMP: Use OMPT-support -- FALSE -- LIBOMP: Use Adaptive locks -- TRUE -- LIBOMP: Use quad precision -- TRUE -- LIBOMP: Use TSAN-support -- FALSE -- LIBOMP: Use Hwloc library -- FALSE -- LIBOMP: Cannot find llvm-lit. -- LIBOMP: Please put llvm-lit in your PATH, set LIBOMP_LLVM_LIT_EXECUTABLE to its full path or point OPENMP_LLVM_TOOLS_DIR to its directory CMake Warning at 3rdparty/openmp/runtime/cmake/LibompUtils.cmake:21 (message): LIBOMP: The check-libomp target will not be available! Call Stack (most recent call first): 3rdparty/openmp/runtime/test/CMakeLists.txt:62 (libomp_warning_say)
USE LAPACK ON -- Could NOT find Jemalloc (missing: JEMALLOC_LIBRARY JEMALLOC_INCLUDE_DIR) -- Found cuDNN (include: /usr/local/cuda-8.0/include, library: /usr/local/cuda-8.0/lib64/libcudnn.so) -- enabling popcnt... -- using uint64_t as container for binarized values -- Configuring done -- Generating done -- Build files have been written to: /home/jacky4323/BMXNet_update_Test/incubator-mxnet/build/Release
make error
@jacky4323 Just want to confirm, did you not have problem in 1.0.0 and now having the problem when you switch to the latest master?
@haojin2 ,yes
for more clearly,
use cmake and added 1 module FindSSE.cmake which is missing in latest master(attach file is a camkelist file I have modified)
I added some operation in src/operator/mshadow_op.h, some code shows below. it does not affect other operation
struct sign_grad_quantized {
template
some operator originally place in as of 1.0.0 many operators have been moved from MXNET_ROOT/src/operator to MXNET_ROOT/src/operator/nn for example ,so i replace include path original #include "../../src/operator/cudnn_algoreg-inl.h" with latestmaster #include "../../src/operator/nn/cudnn/cudnn_algoreg-inl.h"
thanks!!
1.0.0 cmakelist original_CMakeLists.txt
latestmaster cmakelist
latestmaster_CMakeLists.txt
@mxnet-label-bot update [Build]
This issue has not been updated in 90 days and I want to follow up. Do you still have this issue?
I have some customize layers,and these 7 months, I didn't update mxnet pakage,for some reson I update and build from source using cmake , and there are some errors below, maybe some change of mxnet::op::ConvolutionParam::ConvolutionParam , how to modified it ?
part of code
build from source using cmake error