We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Hello,
How may I run the demo_test.py in CPU-only mode in Python3? I changed the caffe.proto solver mode to CPU as well.
Here is my makefile.config file:
CPU_ONLY := 1
USE_OPENCV := 1 USE_LEVELDB := 1 USE_LMDB := 1
OPENCV_VERSION := 3
#CUDA_DIR := /usr/local/cuda
#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_61,code=sm_61
BLAS := open
#PYTHON_INCLUDE := /usr/include/python2.7 /usr/lib/python2.7/dist-packages/numpy/core/include
$(ANACONDA_HOME)/include/python2.7 \ $(ANACONDA_HOME)/lib/python2.7/site-packages/numpy/core/include \
PYTHON_LIBRARIES := boost_python3 python3.6m PYTHON_INCLUDE := /usr/include/python3.6m /home/bora/.local/lib/python3.6/site-packages/numpy/core/include
PYTHON_LIB := /usr/lib
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/hdf5/serial/
pkg-config
make clean
BUILD_DIR := build DISTRIBUTE_DIR := distribute
#TEST_GPUID := 0
Q ?= @
EXCLUDES_FOLDERS := examples/text/nms/
The text was updated successfully, but these errors were encountered:
@boraster Currently you cannot run our code in CPU model. Ref to #17
Sorry, something went wrong.
No branches or pull requests
Hello,
How may I run the demo_test.py in CPU-only mode in Python3? I changed the caffe.proto solver mode to CPU as well.
Here is my makefile.config file:
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 := 1
USE_LEVELDB := 1
USE_LMDB := 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 *_35 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_61,code=sm_61
BLAS choice:
atlas for ATLAS (default)
mkl for MKL
open for OpenBlas
BLAS := atlas
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 := /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)/anaconda2
PYTHON_INCLUDE := $(ANACONDA_HOME)/include \
Uncomment to use Python 3 (default is Python 2)
PYTHON_LIBRARIES := boost_python3 python3.6m
PYTHON_INCLUDE := /usr/include/python3.6m
/home/bora/.local/lib/python3.6/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 /usr/include/hdf5/serial/
LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /usr/lib/x86_64-linux-gnu/hdf5/serial/
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
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 BVLC/caffe#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 ?= @
EXCLUDES_FOLDERS := examples/text/nms/
The text was updated successfully, but these errors were encountered: