Ytdyklly

Having problem installing Caffe on Ubuntu 18.04 GPU TitanX CUDA 9.1 CuDNN 7.1 without Anaconda Python 3.6. Running make -j8 all gets the following error:

LD -o .build_release/lib/libcaffe.so.1.0.0

/usr/bin/x86_64-linux-gnu-ld: skipping incompatible /usr/lib/x86_64-linux-gnu//libcudnn.so when searching for -lcudnn

/usr/bin/x86_64-linux-gnu-ld: skipping incompatible /usr/local/cuda/lib64/libcudnn.so when searching for -lcudnn

/usr/bin/x86_64-linux-gnu-ld: skipping incompatible /usr/local/cuda/lib/libcudnn.so when searching for -lcudnn

/usr/bin/x86_64-linux-gnu-ld: skipping incompatible /usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/libcudnn.so when searching for -lcudnn

/usr/bin/x86_64-linux-gnu-ld: skipping incompatible /usr/lib/x86_64-linux-gnu/libcudnn.so when searching for -lcudnn

/usr/bin/x86_64-linux-gnu-ld: skipping incompatible //usr/lib/x86_64-linux-gnu/libcudnn.so when searching for -lcudnn

/usr/bin/x86_64-linux-gnu-ld: cannot find -lcudnn

collect2: error: ld returned 1 exit status

Makefile:583: recipe for target '.build_release/lib/libcaffe.so.1.0.0' failed

make: *** [.build_release/lib/libcaffe.so.1.0.0] Error 1

I tried providing the directory address to CuDNN (/usr/lib/x86_64-linux-gnu/ and usr/local/include for the header) in Makefile.Config. Here is the content of 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

# 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 python3.6m

PYTHON_INCLUDE := /usr/include/python3.6m 

                 /usr/lib/python3.6/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/hdf5/serial/ /usr/lib/x86_64-linux-gnu/

#INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include /usr/include /usr/include/hdf5/serial /usr/local/cuda/include  

#LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /usr/lib/x86_64-linux-gnu/hdf5/serial/ /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 ?= @

I also tried creating symbolic links between libcudnn.so.7.1.2 and libcudnn.so :

ln -sf /usr/local/cuda/lib64/libcudnn.so.7.1.2 /usr/local/cuda/lib64/libcudnn.so.7

and between libcudnn.so.7.1.2 and libcudnn.so :

ln -sf /usr/local/cuda/lib64/libcudnn.so.7.1.2 /usr/local/cuda/lib64/libcudnn.so 

Typing ld -lcudnn --verbose spits out the following final lines :

attempt to open //usr/local/lib/x86_64-linux-gnu/libcudnn.so failed

attempt to open //usr/local/lib/x86_64-linux-gnu/libcudnn.a failed

attempt to open //lib/x86_64-linux-gnu/libcudnn.so failed

attempt to open //lib/x86_64-linux-gnu/libcudnn.a failed

attempt to open //usr/lib/x86_64-linux-gnu/libcudnn.so succeeded

ld: skipping incompatible //usr/lib/x86_64-linux-gnu/libcudnn.so when searching for -lcudnn

attempt to open //usr/lib/x86_64-linux-gnu/libcudnn.a failed

attempt to open //usr/lib/x86_64-linux-gnu64/libcudnn.so failed

attempt to open //usr/lib/x86_64-linux-gnu64/libcudnn.a failed

attempt to open //usr/local/lib64/libcudnn.so failed

attempt to open //usr/local/lib64/libcudnn.a failed

attempt to open //lib64/libcudnn.so failed

attempt to open //lib64/libcudnn.a failed

attempt to open //usr/lib64/libcudnn.so failed

attempt to open //usr/lib64/libcudnn.a failed

attempt to open //usr/local/lib/libcudnn.so failed

attempt to open //usr/local/lib/libcudnn.a failed

attempt to open //lib/libcudnn.so failed

attempt to open //lib/libcudnn.a failed

attempt to open //usr/lib/libcudnn.so failed

attempt to open //usr/lib/libcudnn.a failed

attempt to open //usr/x86_64-linux-gnu/lib64/libcudnn.so failed

attempt to open //usr/x86_64-linux-gnu/lib64/libcudnn.a failed

attempt to open //usr/x86_64-linux-gnu/lib/libcudnn.so failed

attempt to open //usr/x86_64-linux-gnu/lib/libcudnn.a failed

ld: cannot find -lcudnn

I checked where cudnn is (sudo find / -name libcudnn*so*) and got the following answer : /home/meriemlio/Downloads/cuda/targets/ppc64le-linux/lib/libcudnn.so /root/caffe/libcudnn.so find: ‘/run/user/1000/gvfs’: Permission denied find: ‘/run/user/120/gvfs’: Permission denied /usr/lib/x86_64-linux-gnu/libcudnn.so

I tried adding directories ld isn't checking for libcudnn by typing for instance :

export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/lib/x86_64-linux-gnu/

I still get the same error. Any clues ?