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GCC 5.4.0: Adding gcc and gcc_s libs to link line Looking for clock_gettime in rt - found Found Doxygen: /usr/bin/doxygen (found version "1.8.5") found components: doxygen dot Found OpenMP_CXX: -fopenmp (found version "4.0") Found OpenMP_C: -fopenmp (found version "4.0") Intel(R) MKL: lib /root/miniconda/envs/r21d/lib/libmkl_rt.so Intel(R) MKL: include /root/miniconda/envs/r21d/include Detecting Intel(R) MKL: trying mklml_gnu Detecting Intel(R) MKL: trying mklml_intel Found MKLDNN: /root/miniconda/envs/r21d/lib/libmkl_intel_lp64.so /root/miniconda/envs/r21d/lib/libmkl_gnu_thread.so /root/miniconda/envs/r21d/lib/libmkl_core.so -fopenmp /usr/lib64/libpthread.so /usr/lib64/libm.so /usr/lib64/libdl.so Found CUDA: /usr/local/cuda (found suitable version "8.0", minimum required is "5.5")Į[91mdisabling ROCM because NOT USE_ROCM is setĮ[0m- MIOpen not found. Performing Test BLAS_USE_CBLAS_DOT - Success Performing Test BLAS_F2C_FLOAT_WORKS - Success Performing Test BLAS_F2C_DOUBLE_WORKS - Failed Performing Test HAS_C11_ATOMICS - Success Performing Test CXX_HAS_AVX2_2 - Success Performing Test CXX_HAS_AVX2_1 - Failed Performing Test CXX_HAS_AVX_2 - Success Performing Test NO_GCC_EBX_FPIC_BUG - Success Performing Test HAVE_GCC_GET_CPUID - Success Could not find hardware support for NEON on this machine. MAGMA LIBRARIES: /root/miniconda/envs/r21d/lib/libmagma.a MAGMA INCLUDE DIRECTORIES: /root/miniconda/envs/r21d/include Checking prototype magma_get_sgeqrf_nb for MAGMA_V2 - True Found CUDA with FP16 support, compiling with CMAKE_MODULE_PATH : /usr/local/pytorch/cmake/Modules /usr/local/pytorch/cmake/public/./Modules_CUDA_fix CMAKE_INSTALL_PREFIX : /root/miniconda/envs/r21d CMAKE_PREFIX_PATH : /root/minoconda/envs/r21d CXX flags : -Wno-deprecated -fvisibility-inlines-hidden -Wnon-virtual-dtor Did anyone have a similar problem and solved it? - ******** Summary ********
#Python ffmpeg opencv full#
That’s the full output I get when compiling it. Using python 2.7, cmake 3.11.4, gcc/g++ 5.4.0, opencv 3.4.4, conda, etc (You can see the rest in the summary below) I’m compiling it with the cuda flag and have a titan x at my disposal. I can get it compiled till the end but when I try to run from caffe2.python import core I get the message saying it doesn’t have GPU support. Well… I’ve tried everything but can’t get it working. I need them compiled together to try to reproduce the environment of a paper that I’m trying to work with. Hey guys, I’m new to pytorch/caffe2 and am having a really hard time getting it compiled from source with the dependencies I need, which are in this case FFMPEG and OPENCV.
![Python ffmpeg opencv](https://knopkazmeya.com/15.png)