Problem about cudnn when installing caffe

Robotics & Edge Computing Jetson & Embedded Systems Jetson TX2
1

Hi I am trying to install caffe on my TX2,when I make the Makefile.config,I found this message on my terminal:

CXX src/caffe/util/db_leveldb.cpp
CXX src/caffe/internal_thread.cpp
CXX src/caffe/solver.cpp
AR -o .build_release/lib/libcaffe.a
LD -o .build_release/lib/libcaffe.so.1.0.0
/usr/bin/ld: skipping incompatible /usr/local/cuda/lib64/libcudnn.so when searching for -lcudnn
/usr/bin/ld: skipping incompatible /usr/local/cuda/lib64/libcudnn.so when searching for -lcudnn
CXX/LD -o .build_release/tools/upgrade_net_proto_text.bin
CXX/LD -o .build_release/tools/compute_image_mean.bin
CXX/LD -o .build_release/tools/extract_features.bin
CXX/LD -o .build_release/tools/caffe.bin
CXX/LD -o .build_release/tools/upgrade_solver_proto_text.bin
CXX/LD -o .build_release/tools/convert_imageset.bin
CXX/LD -o .build_release/tools/upgrade_net_proto_binary.bin
CXX/LD -o .build_release/examples/cifar10/convert_cifar_data.bin
/usr/bin/ld: skipping incompatible /usr/local/cuda/lib64/libcudnn.so when searching for -lcudnn
/usr/bin/ld: skipping incompatible /usr/local/cuda/lib64/libcudnn.so when searching for -lcudnn
CXX/LD -o .build_release/examples/siamese/convert_mnist_siamese_data.bin
/usr/bin/ld: skipping incompatible /usr/local/cuda/lib64/libcudnn.so when searching for -lcudnn
/usr/bin/ld: skipping incompatible /usr/local/cuda/lib64/libcudnn.so when searching for -lcudnn
/usr/bin/ld: skipping incompatible /usr/local/cuda/lib64/libcudnn.so when searching for -lcudnn
/usr/bin/ld: skipping incompatible /usr/local/cuda/lib64/libcudnn.so when searching for -lcudnn
CXX/LD -o .build_release/examples/cpp_classification/classification.bin
CXX/LD -o .build_release/examples/mnist/convert_mnist_data.bin
/usr/bin/ld: skipping incompatible /usr/local/cuda/lib64/libcudnn.so when searching for -lcudnn
/usr/bin/ld: skipping incompatible /usr/local/cuda/lib64/libcudnn.so when searching for -lcudnn
/usr/bin/ld: skipping incompatible /usr/local/cuda/lib64/libcudnn.so when searching for -lcudnn
/usr/bin/ld: skipping incompatible /usr/local/cuda/lib64/libcudnn.so when searching for -lcudnn
/usr/bin/ld: skipping incompatible /usr/local/cuda/lib64/libcudnn.so when searching for -lcudnn
/usr/bin/ld: skipping incompatible /usr/local/cuda/lib64/libcudnn.so when searching for -lcudnn
/usr/bin/ld: skipping incompatible /usr/local/cuda/lib64/libcudnn.so when searching for -lcudnn
/usr/bin/ld: skipping incompatible /usr/local/cuda/lib64/libcudnn.so when searching for -lcudnn
/usr/bin/ld: skipping incompatible /usr/local/cuda/lib64/libcudnn.so when searching for -lcudnn
/usr/bin/ld: skipping incompatible /usr/local/cuda/lib64/libcudnn.so when searching for -lcudnn
/usr/bin/ld: skipping incompatible /usr/local/cuda/lib64/libcudnn.so when searching for -lcudnn
/usr/bin/ld: skipping incompatible /usr/local/cuda/lib64/libcudnn.so when searching for -lcudnn
/usr/bin/ld: skipping incompatible /usr/local/cuda/lib64/libcudnn.so when searching for -lcudnn
/usr/bin/ld: skipping incompatible /usr/local/cuda/lib64/libcudnn.so when searching for -lcudnn
/usr/bin/ld: skipping incompatible /usr/local/cuda/lib64/libcudnn.so when searching for -lcudnn
/usr/bin/ld: skipping incompatible /usr/local/cuda/lib64/libcudnn.so when searching for -lcudnn

my setting is ubuntu16.04 cuda 8.0 cudnn6.0.21
I an sure I have install the cudnn6.0.21 and also run an example about it.
Could anyone give some suggestions? Any help is appreciated.
Thanks a lot!

2

Hi,

Could you try JetPack 3.2?
Just confirmed that Caffe can be successfully installed with JetPack3.2.

Thanks.

3

Thanks for your answer!
yes, I try JetPack 3.2 with cudnn7 at first,but it worked worse ,I even couldn’t compile to this step.Then I found this message that “cuDNN for GPU acceleration (v6)” on Caffe | Installation. Then I changed to jetpack 3.1 for CUDA8.0 and cudnn 6.

4

Thanks for your answer!
yes, I try JetPack 3.2 with cudnn7 at first,but it worked worse ,I even couldn’t compile to this step.Then I found this message that “cuDNN for GPU acceleration (v6)” on Caffe | Installation. Then I changed to jetpack 3.1 for CUDA8.0 and cudnn 6.

5

Hi,

We have confirmed that Caffe can be well-installed on JetPack3.2 today.

Here is our steps for your reference:

1. Dependency

sudo apt-get install libboost-dev libboost-all-dev libgflags-dev libgoogle-glog-dev liblmdb-dev libatlas-base-dev liblmdb-dev libblas-dev libatlas-base-dev libprotobuf-dev libleveldb-dev libsnappy-dev libhdf5-serial-dev protobuf-compiler
git clone https://github.com/BVLC/caffe.git

2. Apply changes

diff --git a/Makefile b/Makefile
index c85c695..832255d 100644
--- a/Makefile
+++ b/Makefile
@@ -178,7 +178,7 @@ ifneq ($(CPU_ONLY), 1)
        LIBRARIES := cudart cublas curand
 endif
 
-LIBRARIES += glog gflags protobuf boost_system boost_filesystem m hdf5_hl hdf5
+LIBRARIES += glog gflags protobuf boost_system boost_filesystem m hdf5_serial_hl hdf5_serial
 
 # handle IO dependencies
 USE_LEVELDB ?= 1
diff --git a/Makefile.config.example b/Makefile.config.example
index 7990593..90cafa9 100644
--- a/Makefile.config.example
+++ b/Makefile.config.example
@@ -2,7 +2,7 @@
 # Contributions simplifying and improving our build system are welcome!
 
 # cuDNN acceleration switch (uncomment to build with cuDNN).
-# USE_CUDNN := 1
+USE_CUDNN := 1
 
 # CPU-only switch (uncomment to build without GPU support).
 # CPU_ONLY := 1
@@ -34,15 +34,8 @@ CUDA_DIR := /usr/local/cuda
 # 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
+CUDA_ARCH := -gencode arch=compute_62,code=sm_62 \
+               -gencode arch=compute_62,code=compute_62
 
 # BLAS choice:
 # atlas for ATLAS (default)
@@ -92,7 +85,7 @@ PYTHON_LIB := /usr/lib
 # WITH_PYTHON_LAYER := 1
 
 # Whatever else you find you need goes here.
-INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include
+INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include /usr/include/hdf5/serial/
 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

3. Build

cp Makefile.config.example Makefile.config
make -j4

Thanks.