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Diffstat (limited to 'docker/x86_64/Makefile.config')
-rw-r--r-- | docker/x86_64/Makefile.config | 125 |
1 files changed, 0 insertions, 125 deletions
diff --git a/docker/x86_64/Makefile.config b/docker/x86_64/Makefile.config deleted file mode 100644 index 7f9b196a30..0000000000 --- a/docker/x86_64/Makefile.config +++ /dev/null @@ -1,125 +0,0 @@ -## 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 := 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 python3.5m -# PYTHON_INCLUDE := /usr/include/python3.5m \ -# /usr/lib/python3.5/dist-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 /usr/include/hdf5/serial/ \ - /root/armnn-devenv/google/x86_64_pb_install/include/ -LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /usr/lib/x86_64-linux-gnu/hdf5/serial/ \ - /root/armnn-devenv/google/x86_64_pb_install/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 ?= @ |