Linker not working?

[nehasrikn]

Hi! We're in the process of running make pycaffe, and when we run it, we run into the following error:

LD -o .build_release/lib/libcaffe.so.1.0.0-rc3
/opt/apps/gcc/5.4.0/bin/ld: cannot find -lglog
/opt/apps/gcc/5.4.0/bin/ld: cannot find -lgflags
/opt/apps/gcc/5.4.0/bin/ld: cannot find -lprotobuf
/opt/apps/gcc/5.4.0/bin/ld: cannot find -lboost_system
/opt/apps/gcc/5.4.0/bin/ld: cannot find -lboost_filesystem
/opt/apps/gcc/5.4.0/bin/ld: cannot find -lleveldb
/opt/apps/gcc/5.4.0/bin/ld: cannot find -lsnappy
/opt/apps/gcc/5.4.0/bin/ld: cannot find -llmdb
/opt/apps/gcc/5.4.0/bin/ld: cannot find -lopencv_core
/opt/apps/gcc/5.4.0/bin/ld: cannot find -lopencv_highgui
/opt/apps/gcc/5.4.0/bin/ld: cannot find -lopencv_imgproc
/opt/apps/gcc/5.4.0/bin/ld: cannot find -lboost_thread
/opt/apps/gcc/5.4.0/bin/ld: cannot find -lcudnn
/opt/apps/gcc/5.4.0/bin/ld: cannot find -lnccl
/opt/apps/gcc/5.4.0/bin/ld: cannot find -lboost_python
/opt/apps/gcc/5.4.0/bin/ld: cannot find -lpython2.7
collect2: error: ld returned 1 exit status
make: *** [.build_release/lib/libcaffe.so.1.0.0-rc3] Error 1

We're using an anaconda environment to run everything, so we're are not sure why we're running into this error! Here's our 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 := /opt/apps/cuda/9.2/
# 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 \
search hit TOP, continuing at BOTTOM
# 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 ?= @ 

Any insight is appreciated!

[400lbhacker]

Hello, I have never used cuda or cuddn, so bear with me here. You have the bin directory right but no lib directory. you need to add more to this comment section I beleive

CUDA directory contains bin/ and lib/ directories that we need.

CUDA_DIR := /opt/apps/cuda/9.2/

On Ubuntu 14.04, if cuda tools are installed via

"sudo apt-get install nvidia-cuda-toolkit" then use this instead:

CUDA_DIR := /usr

i may be wrong. are you installing this on ubuntu?

[400lbhacker]

sorry the qoute came out sloppy im new to github