Py-faster-rcnn: Makefile:607: recipe for target '.build_release/tools/compute_image_mean.bin' failed

[svendon]

ubuntu18.04
CUDA 10.0
Cudnn 7.5.0
gcc 7.3

when i make the caffe-faster-rcnn, i get the problem

CXX/LD -o .build_release/tools/upgrade_net_proto_binary.bin
CXX/LD -o .build_release/tools/upgrade_net_proto_text.bin
CXX/LD -o .build_release/tools/finetune_net.bin
CXX/LD -o .build_release/tools/caffe.bin
.build_release/lib/libcaffe.so：对‘__cudaPushCallConfiguration’未定义的引用
.build_release/lib/libcaffe.so：对‘__cudaPopCallConfiguration’未定义的引用
collect2: error: ld returned 1 exit status
Makefile:607: recipe for target '.build_release/tools/compute_image_mean.bin' failed
make: * [.build_release/tools/compute_image_mean.bin] Error 1
make: 正在等待未完成的任务....
.build_release/lib/libcaffe.so：对‘__cudaPushCallConfiguration’未定义的引用
.build_release/lib/libcaffe.so：对‘__cudaPopCallConfiguration’未定义的引用
collect2: error: ld returned 1 exit status
Makefile:607: recipe for target '.build_release/tools/convert_imageset.bin' failed
make: [.build_release/tools/convert_imageset.bin] Error 1
.build_release/lib/libcaffe.so：对‘__cudaPushCallConfiguration’未定义的引用
.build_release/lib/libcaffe.so：对‘__cudaPopCallConfiguration’未定义的引用
collect2: error: ld returned 1 exit status
Makefile:607: recipe for target '.build_release/tools/upgrade_solver_proto_text.bin' failed
make: [.build_release/tools/upgrade_solver_proto_text.bin] Error 1
.build_release/lib/libcaffe.so：对‘__cudaPushCallConfiguration’未定义的引用
.build_release/lib/libcaffe.so：对‘__cudaPopCallConfiguration’未定义的引用
collect2: error: ld returned 1 exit status
Makefile:607: recipe for target '.build_release/tools/extract_features.bin' failed
make: [.build_release/tools/extract_features.bin] Error 1
.build_release/lib/libcaffe.so：对‘__cudaPushCallConfiguration’未定义的引用
.build_release/lib/libcaffe.so：对‘__cudaPopCallConfiguration’未定义的引用
collect2: error: ld returned 1 exit status
Makefile:607: recipe for target '.build_release/tools/upgrade_net_proto_binary.bin' failed
make: [.build_release/tools/upgrade_net_proto_binary.bin] Error 1
.build_release/lib/libcaffe.so：对‘__cudaPushCallConfiguration’未定义的引用
.build_release/lib/libcaffe.so：对‘__cudaPopCallConfiguration’未定义的引用
collect2: error: ld returned 1 exit status
Makefile:607: recipe for target '.build_release/tools/upgrade_net_proto_text.bin' failed
make: [.build_release/tools/upgrade_net_proto_text.bin] Error 1
.build_release/lib/libcaffe.so：对‘__cudaPushCallConfiguration’未定义的引用
.build_release/lib/libcaffe.so：对‘__cudaPopCallConfiguration’未定义的引用
collect2: error: ld returned 1 exit status
Makefile:607: recipe for target '.build_release/tools/caffe.bin' failed
make: * [.build_release/tools/caffe.bin] Error 1

here is my makefile.config

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

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 lines for compatibility.

CUDA_ARCH := -gencode arch=compute_30,code=sm_30 \
-gencode arch=compute_35,code=sm_35 \
-gencode arch=compute_50,code=sm_50 \
-gencode arch=compute_50,code=compute_50

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
LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /usr/lib/x86_64-linux-gnu /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

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 ?= @

can anybody help me ?

https://guides.github.com/features/mastering-markdown/

[svendon]

i solved this problem by use cmake!

[kingman21]

@svendon can you please explain to me how did you solve it using cmake? Can you please provide some solution steps.

[Tclz]

@kingman21 Have you solve this problem now? i am confused with it and try several methods but all failed.