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April 12, 2020 18:24
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Caffe Makefile.config files, Manjaro has 3.8.2 locally too so it might be work
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| ## Refer to http://caffe.berkeleyvision.org/installation.html | |
| # Contributions simplifying and improving our build system are welcome! | |
| # cuDNN acceleration switch (uncomment to build with cuDNN). | |
| # USE_CUDNN := 1 | |
| # CPU-only switch (uncomment to build without GPU support). | |
| CPU_ONLY := 1 | |
| # uncomment to disable IO dependencies and corresponding data layers | |
| USE_OPENCV := 0 | |
| USE_LEVELDB := 0 | |
| USE_LMDB := 0 | |
| # This code is taken from https://github.com/sh1r0/caffe-android-lib | |
| # USE_HDF5 := 0 | |
| # uncomment to allow MDB_NOLOCK when reading LMDB files (only if necessary) | |
| # You should not set this flag if you will be reading LMDBs with any | |
| # possibility of simultaneous read and write | |
| # ALLOW_LMDB_NOLOCK := 1 | |
| # Uncomment if you're using OpenCV 3 | |
| # OPENCV_VERSION := 3 | |
| # To customize your choice of compiler, uncomment and set the following. | |
| # N.B. the default for Linux is g++ and the default for OSX is clang++ | |
| # CUSTOM_CXX := g++ | |
| # CUDA directory contains bin/ and lib/ directories that we need. | |
| CUDA_DIR := /usr/local/cuda | |
| # On Ubuntu 14.04, if cuda tools are installed via | |
| # "sudo apt-get install nvidia-cuda-toolkit" then use this instead: | |
| # CUDA_DIR := /usr | |
| # CUDA architecture setting: going with all of them. | |
| # For CUDA < 6.0, comment the *_50 through *_61 lines for compatibility. | |
| # For CUDA < 8.0, comment the *_60 and *_61 lines for compatibility. | |
| # For CUDA >= 9.0, comment the *_20 and *_21 lines for compatibility. | |
| CUDA_ARCH := -gencode arch=compute_20,code=sm_20 \ | |
| -gencode arch=compute_20,code=sm_21 \ | |
| -gencode arch=compute_30,code=sm_30 \ | |
| -gencode arch=compute_35,code=sm_35 \ | |
| -gencode arch=compute_50,code=sm_50 \ | |
| -gencode arch=compute_52,code=sm_52 \ | |
| -gencode arch=compute_60,code=sm_60 \ | |
| -gencode arch=compute_61,code=sm_61 \ | |
| -gencode arch=compute_61,code=compute_61 | |
| # BLAS choice: | |
| # atlas for ATLAS (default) | |
| # mkl for MKL | |
| # open for OpenBlas | |
| BLAS := open | |
| # Custom (MKL/ATLAS/OpenBLAS) include and lib directories. | |
| # Leave commented to accept the defaults for your choice of BLAS | |
| # (which should work)! | |
| BLAS_INCLUDE := /usr/include | |
| BLAS_LIB := /usr/lib | |
| # Homebrew puts openblas in a directory that is not on the standard search path | |
| # BLAS_INCLUDE := $(shell brew --prefix openblas)/include | |
| # BLAS_LIB := $(shell brew --prefix openblas)/lib | |
| # This is required only if you will compile the matlab interface. | |
| # MATLAB directory should contain the mex binary in /bin. | |
| # MATLAB_DIR := /usr/local | |
| # MATLAB_DIR := /Applications/MATLAB_R2012b.app | |
| # NOTE: this is required only if you will compile the python interface. | |
| # We need to be able to find Python.h and numpy/arrayobject.h. | |
| # PYTHON_INCLUDE := /usr/include/python2.7 \ | |
| # /usr/lib/python2.7/dist-packages/numpy/core/include | |
| # Anaconda Python distribution is quite popular. Include path: | |
| # Verify anaconda location, sometimes it's in root. | |
| # ANACONDA_HOME := $(HOME)/anaconda | |
| # PYTHON_INCLUDE := $(ANACONDA_HOME)/include \ | |
| # $(ANACONDA_HOME)/include/python2.7 \ | |
| # $(ANACONDA_HOME)/lib/python2.7/site-packages/numpy/core/include | |
| # Uncomment to use Python 3 (default is Python 2) | |
| PYTHON_BASE := /home/kviktor/.pyenv/versions/velvet-check/lib/python3.8 | |
| PYTHON_LIBRARIES := boost_python3 python3.8 | |
| PYTHON_INCLUDE := /usr/include/python3.8 \ | |
| $(PYTHON_BASE)/site-packages/numpy/core/include | |
| # We need to be able to find libpythonX.X.so or .dylib. | |
| PYTHON_LIB := /usr/lib | |
| # PYTHON_LIB := $(ANACONDA_HOME)/lib | |
| # Homebrew installs numpy in a non standard path (keg only) | |
| # PYTHON_INCLUDE += $(dir $(shell python -c 'import numpy.core; print(numpy.core.__file__)'))/include | |
| # PYTHON_LIB += $(shell brew --prefix numpy)/lib | |
| # Uncomment to support layers written in Python (will link against Python libs) | |
| # WITH_PYTHON_LAYER := 1 | |
| # Whatever else you find you need goes here. | |
| INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include | |
| LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib | |
| # If Homebrew is installed at a non standard location (for example your home directory) and you use it for general dependencies | |
| # INCLUDE_DIRS += $(shell brew --prefix)/include | |
| # LIBRARY_DIRS += $(shell brew --prefix)/lib | |
| # NCCL acceleration switch (uncomment to build with NCCL) | |
| # https://github.com/NVIDIA/nccl (last tested version: v1.2.3-1+cuda8.0) | |
| # USE_NCCL := 1 | |
| # Uncomment to use `pkg-config` to specify OpenCV library paths. | |
| # (Usually not necessary -- OpenCV libraries are normally installed in one of the above $LIBRARY_DIRS.) | |
| # USE_PKG_CONFIG := 1 | |
| # N.B. both build and distribute dirs are cleared on `make clean` | |
| BUILD_DIR := build | |
| DISTRIBUTE_DIR := distribute | |
| # Uncomment for debugging. Does not work on OSX due to https://github.com/BVLC/caffe/issues/171 | |
| # DEBUG := 1 | |
| # The ID of the GPU that 'make runtest' will use to run unit tests. | |
| TEST_GPUID := 0 | |
| # enable pretty build (comment to see full commands) | |
| # Q ?= @ |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| ## Refer to http://caffe.berkeleyvision.org/installation.html | |
| # Contributions simplifying and improving our build system are welcome! | |
| # cuDNN acceleration switch (uncomment to build with cuDNN). | |
| # USE_CUDNN := 1 | |
| # CPU-only switch (uncomment to build without GPU support). | |
| CPU_ONLY := 1 | |
| # uncomment to disable IO dependencies and corresponding data layers | |
| USE_OPENCV := 0 | |
| # USE_LEVELDB := 0 | |
| USE_LMDB := 0 | |
| # This code is taken from https://github.com/sh1r0/caffe-android-lib | |
| USE_HDF5 := 1 | |
| # uncomment to allow MDB_NOLOCK when reading LMDB files (only if necessary) | |
| # You should not set this flag if you will be reading LMDBs with any | |
| # possibility of simultaneous read and write | |
| # ALLOW_LMDB_NOLOCK := 1 | |
| # Uncomment if you're using OpenCV 3 | |
| # OPENCV_VERSION := 3 | |
| # To customize your choice of compiler, uncomment and set the following. | |
| # N.B. the default for Linux is g++ and the default for OSX is clang++ | |
| # CUSTOM_CXX := g++ | |
| # CUDA directory contains bin/ and lib/ directories that we need. | |
| CUDA_DIR := /usr/local/cuda | |
| # On Ubuntu 14.04, if cuda tools are installed via | |
| # "sudo apt-get install nvidia-cuda-toolkit" then use this instead: | |
| # CUDA_DIR := /usr | |
| # CUDA architecture setting: going with all of them. | |
| # For CUDA < 6.0, comment the *_50 through *_61 lines for compatibility. | |
| # For CUDA < 8.0, comment the *_60 and *_61 lines for compatibility. | |
| # For CUDA >= 9.0, comment the *_20 and *_21 lines for compatibility. | |
| CUDA_ARCH := -gencode arch=compute_20,code=sm_20 \ | |
| -gencode arch=compute_20,code=sm_21 \ | |
| -gencode arch=compute_30,code=sm_30 \ | |
| -gencode arch=compute_35,code=sm_35 \ | |
| -gencode arch=compute_50,code=sm_50 \ | |
| -gencode arch=compute_52,code=sm_52 \ | |
| -gencode arch=compute_60,code=sm_60 \ | |
| -gencode arch=compute_61,code=sm_61 \ | |
| -gencode arch=compute_61,code=compute_61 | |
| # BLAS choice: | |
| # atlas for ATLAS (default) | |
| # mkl for MKL | |
| # open for OpenBlas | |
| BLAS := atlas | |
| # Custom (MKL/ATLAS/OpenBLAS) include and lib directories. | |
| # Leave commented to accept the defaults for your choice of BLAS | |
| # (which should work)! | |
| # BLAS_INCLUDE := /path/to/your/blas | |
| # BLAS_LIB := /path/to/your/blas | |
| # Homebrew puts openblas in a directory that is not on the standard search path | |
| # BLAS_INCLUDE := $(shell brew --prefix openblas)/include | |
| # BLAS_LIB := $(shell brew --prefix openblas)/lib | |
| # This is required only if you will compile the matlab interface. | |
| # MATLAB directory should contain the mex binary in /bin. | |
| # MATLAB_DIR := /usr/local | |
| # MATLAB_DIR := /Applications/MATLAB_R2012b.app | |
| # NOTE: this is required only if you will compile the python interface. | |
| # We need to be able to find Python.h and numpy/arrayobject.h. | |
| # PYTHON_INCLUDE := /usr/include/python2.7 \ | |
| # /usr/lib/python2.7/dist-packages/numpy/core/include | |
| # Anaconda Python distribution is quite popular. Include path: | |
| # Verify anaconda location, sometimes it's in root. | |
| # ANACONDA_HOME := $(HOME)/anaconda | |
| # PYTHON_INCLUDE := $(ANACONDA_HOME)/include \ | |
| # $(ANACONDA_HOME)/include/python2.7 \ | |
| # $(ANACONDA_HOME)/lib/python2.7/site-packages/numpy/core/include | |
| # Uncomment to use Python 3 (default is Python 2) | |
| PYTHON_LIBRARIES := boost_python3 python3.8 | |
| PYTHON_INCLUDE := /home/kviktor/.pyenv/versions/3.8.2/include/python3.8 \ | |
| /home/kviktor/.pyenv/versions/velvet-check/lib/python3.8/site-packages/numpy/core/include/ | |
| # We need to be able to find libpythonX.X.so or .dylib. | |
| PYTHON_LIB := /home/kviktor/.pyenv/versions/3.8.2/lib | |
| # PYTHON_LIB := $(ANACONDA_HOME)/lib | |
| # Homebrew installs numpy in a non standard path (keg only) | |
| # PYTHON_INCLUDE += $(dir $(shell python -c 'import numpy.core; print(numpy.core.__file__)'))/include | |
| # PYTHON_LIB += $(shell brew --prefix numpy)/lib | |
| # Uncomment to support layers written in Python (will link against Python libs) | |
| # WITH_PYTHON_LAYER := 1 | |
| # Whatever else you find you need goes here. | |
| INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include /usr/include/hdf5/serial/ | |
| LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /usr/lib/x86_64-linux-gnu | |
| # If Homebrew is installed at a non standard location (for example your home directory) and you use it for general dependencies | |
| # INCLUDE_DIRS += $(shell brew --prefix)/include | |
| # LIBRARY_DIRS += $(shell brew --prefix)/lib | |
| # NCCL acceleration switch (uncomment to build with NCCL) | |
| # https://github.com/NVIDIA/nccl (last tested version: v1.2.3-1+cuda8.0) | |
| # USE_NCCL := 1 | |
| # Uncomment to use `pkg-config` to specify OpenCV library paths. | |
| # (Usually not necessary -- OpenCV libraries are normally installed in one of the above $LIBRARY_DIRS.) | |
| # USE_PKG_CONFIG := 1 | |
| # N.B. both build and distribute dirs are cleared on `make clean` | |
| BUILD_DIR := build | |
| DISTRIBUTE_DIR := distribute | |
| # Uncomment for debugging. Does not work on OSX due to https://github.com/BVLC/caffe/issues/171 | |
| # DEBUG := 1 | |
| # The ID of the GPU that 'make runtest' will use to run unit tests. | |
| TEST_GPUID := 0 | |
| # enable pretty build (comment to see full commands) | |
| # Q ?= @ |
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