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This repository is for setting-up cuda-9/8, nvidia-396/387/384 driver, OpenCV-3.3, ROS Kinetic, Tensorflow-1.11/1.7/1.4/1.2.1, Pytorch-0.4

Shell 0.15% Makefile 0.02% C 4.00% C++ 81.57% Python 2.77% CMake 2.31% Cuda 4.84% HTML 0.65% CSS 0.01% JavaScript 0.32% TeX 0.10% Java 2.37% Perl 0.05% Batchfile 0.02% Objective-C++ 0.60% Objective-C 0.02% PowerShell 0.04% Clojure 0.01% Scala 0.02% C# 0.12%

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/usr/local/cuda-8.0/include': No such file or directory

install_cudnn.sh installs cuda-9.1 rather than cuda-8.0 and thus it cannot find the following paths during installation

sudo cp -P cuda/include/cudnn.h /usr/local/cuda-8.0/include
sudo cp -P cuda/lib64/libcudnn* /usr/local/cuda-8.0/lib64/

Error:

http://developer.download.nvidia.com/compute/redist/cudnn/v6.0/cudnn-8.0-linux-x64-v6.0.tgz
Resolving developer.download.nvidia.com (developer.download.nvidia.com)... 2606:2800:21f:3aa:dcf:37b:1ed6:1fb, 192.229.211.70
Connecting to developer.download.nvidia.com (developer.download.nvidia.com)|2606:2800:21f:3aa:dcf:37b:1ed6:1fb|:80... connected.
HTTP request sent, awaiting response... 200 OK
Length: 201134139 (192M) [application/x-compressed]
Saving to: ‘cudnn-8.0-linux-x64-v6.0.tgz’

cudnn-8.0-linux-x64 100%[===================>] 191.82M  6.76MB/s    in 24s     

2018-03-30 01:05:44 (8.11 MB/s) - ‘cudnn-8.0-linux-x64-v6.0.tgz’ saved [201134139/201134139]

cuda/include/cudnn.h
cuda/lib64/libcudnn.so
cuda/lib64/libcudnn.so.6
cuda/lib64/libcudnn.so.6.0.21
cuda/lib64/libcudnn_static.a
cp: cannot create regular file '/usr/local/cuda-8.0/include': No such file or directory
cp: target '/usr/local/cuda-8.0/lib64/' is not a directory
chmod: cannot access '/usr/local/cuda-8.0/lib64/libcudnn*': No such file or directory

And it requires `nvidia-cuda-toolkit', add the following:

sudo apt install nvidia-cuda-toolkit

Cuda issue, try this:

Download and install `cudnn` for cuda-8.0 with cudnn-5.1 (cudnn-5.1 is not supported for tf):

Download cudnn-5.1
tar -zxvf cudnn-8.0-linux-x64-v5.1.tgz
Check the file:
cd cuda/lib64/ ls -l
You should see something like this:

total 150908
lrwxrwxrwx 1 doom doom       13 Nov  7  2016 libcudnn.so -> libcudnn.so.5
lrwxrwxrwx 1 doom doom       18 Nov  7  2016 libcudnn.so.5 -> libcudnn.so.5.1.10
-rwxr-xr-x 1 doom doom 84163560 Nov  7  2016 libcudnn.so.5.1.10
-rw-r--r-- 1 doom doom 70364814 Nov  7  2016 libcudnn_static.a

Here you will see 2 symbolic link files, and just copy libcudnn.so.5.1.10 and libcudnn_static.a to /usr/local/cuda-8.0/lib64
Make symbolic link files:

cd /usr/local/cuda-8.0/lib64/
sudo ln -s libcudnn.so.5.1.10 libcudnn.so.5
sudo ln -s libcudnn.so.5 libcudnn.so

Check for libcudnn: ls -l libcudnn*
You should see:

lrwxrwxrwx 1 root root       13 May 24 09:24 libcudnn.so -> libcudnn.so.5
lrwxrwxrwx 1 root root       18 May 24 09:24 libcudnn.so.5 -> libcudnn.so.5.1.10
-rwxr-xr-x 1 root root 84163560 May 24 09:23 libcudnn.so.5.1.10
-rw-r--r-- 1 root root 70364814 May 24 09:23 libcudnn_static.a

Copy cudnn.h in include directory to /usr/local/cuda/include
sudo cp cudnn.h /usr/local/cuda-8.0/include/
Reference

/usr/local/lib/python2.7/dist-packages/tensorflow/include/tensorflow/stream_executor/cuda/cuda_config.h:

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/

// DO NOT EDIT: automatically generated file
#ifndef CUDA_CUDA_CONFIG_H_
#define CUDA_CUDA_CONFIG_H_

#define TF_CUDA_CAPABILITIES CudaVersion("3.0")

#define TF_CUDA_VERSION "8.0"
#define TF_CUDNN_VERSION "6"

#define TF_CUDA_TOOLKIT_PATH "/usr/local/cuda-8.0"

#endif // CUDA_CUDA_CONFIG_H_

While 'make'-ing the flownet2-tf, I am getting this error

nvcc -g -std=c++11 -I`python -c "import tensorflow; print(tensorflow.sysconfig.get_include())"` -I"/usr/local/cuda-8.0/include" -DGOOGLE_CUDA=1 -D_MWAITXINTRIN_H_INCLUDED -D_FORCE_INLINES -D__STRICT_ANSI__ -D_GLIBCXX_USE_CXX11_ABI=0 -c src/ops/preprocessing/kernels/data_augmentation.cu.cc -x cu -Xcompiler -fPIC  -o src/ops/build/data_augmentation.o
nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
/usr/local/lib/python2.7/dist-packages/tensorflow/include/unsupported/Eigen/CXX11/../../../Eigen/src/Core/MathFunctions.h(1254): warning: calling a constexpr __host__ function("real") from a __host__ __device__ function("abs") is not allowed. The experimental flag '--expt-relaxed-constexpr' can be used to allow this.

/usr/local/lib/python2.7/dist-packages/tensorflow/include/unsupported/Eigen/CXX11/../../../Eigen/src/Core/MathFunctions.h(1254): warning: calling a constexpr __host__ function("imag") from a __host__ __device__ function("abs") is not allowed. The experimental flag '--expt-relaxed-constexpr' can be used to allow this.

/usr/local/lib/python2.7/dist-packages/tensorflow/include/unsupported/Eigen/CXX11/../../../Eigen/src/Core/MathFunctions.h(1254): warning: calling a constexpr __host__ function from a __host__ __device__ function is not allowed. The experimental flag '--expt-relaxed-constexpr' can be used to allow this.

/usr/local/lib/python2.7/dist-packages/tensorflow/include/unsupported/Eigen/CXX11/../../../Eigen/src/Core/MathFunctions.h(1254): warning: calling a constexpr __host__ function from a __host__ __device__ function is not allowed. The experimental flag '--expt-relaxed-constexpr' can be used to allow this.

/usr/local/lib/python2.7/dist-packages/tensorflow/include/unsupported/Eigen/CXX11/../../../Eigen/src/Core/MathFunctions.h(1259): warning: calling a constexpr __host__ function("real") from a __host__ __device__ function("abs") is not allowed. The experimental flag '--expt-relaxed-constexpr' can be used to allow this.

/usr/local/lib/python2.7/dist-packages/tensorflow/include/unsupported/Eigen/CXX11/../../../Eigen/src/Core/MathFunctions.h(1259): warning: calling a constexpr __host__ function("imag") from a __host__ __device__ function("abs") is not allowed. The experimental flag '--expt-relaxed-constexpr' can be used to allow this.

/usr/local/lib/python2.7/dist-packages/tensorflow/include/unsupported/Eigen/CXX11/../../../Eigen/src/Core/MathFunctions.h(1259): warning: calling a constexpr __host__ function from a __host__ __device__ function is not allowed. The experimental flag '--expt-relaxed-constexpr' can be used to allow this.

/usr/local/lib/python2.7/dist-packages/tensorflow/include/unsupported/Eigen/CXX11/../../../Eigen/src/Core/MathFunctions.h(1259): warning: calling a constexpr __host__ function from a __host__ __device__ function is not allowed. The experimental flag '--expt-relaxed-constexpr' can be used to allow this.

/usr/local/lib/python2.7/dist-packages/tensorflow/include/unsupported/Eigen/CXX11/src/Tensor/TensorRandom.h(133): warning: calling a constexpr __host__ function from a __host__ __device__ function is not allowed. The experimental flag '--expt-relaxed-constexpr' can be used to allow this.

/usr/local/lib/python2.7/dist-packages/tensorflow/include/unsupported/Eigen/CXX11/src/Tensor/TensorRandom.h(138): warning: calling a constexpr __host__ function from a __host__ __device__ function is not allowed. The experimental flag '--expt-relaxed-constexpr' can be used to allow this.

/usr/local/lib/python2.7/dist-packages/tensorflow/include/unsupported/Eigen/CXX11/src/Tensor/TensorRandom.h(212): warning: calling a constexpr __host__ function from a __host__ __device__ function is not allowed. The experimental flag '--expt-relaxed-constexpr' can be used to allow this.

/usr/local/lib/python2.7/dist-packages/tensorflow/include/unsupported/Eigen/CXX11/src/Tensor/TensorRandom.h(217): warning: calling a constexpr __host__ function from a __host__ __device__ function is not allowed. The experimental flag '--expt-relaxed-constexpr' can be used to allow this.

/usr/local/lib/python2.7/dist-packages/tensorflow/include/tensorflow/core/framework/op_kernel.h(317): warning: type qualifier on return type is meaningless

/usr/local/lib/python2.7/dist-packages/tensorflow/include/tensorflow/stream_executor/kernel.h(307): warning: variable "result" is used before its value is set

/usr/local/lib/python2.7/dist-packages/tensorflow/include/tensorflow/stream_executor/device_description.h(85): warning: type qualifier on return type is meaningless

/usr/local/lib/python2.7/dist-packages/tensorflow/include/tensorflow/stream_executor/device_description.h(144): warning: type qualifier on return type is meaningless

/usr/local/lib/python2.7/dist-packages/tensorflow/include/tensorflow/core/util/cuda_kernel_helper.h(620): error: identifier "__shfl" is undefined

/usr/local/lib/python2.7/dist-packages/tensorflow/include/tensorflow/core/util/cuda_kernel_helper.h(640): error: identifier "__shfl_up" is undefined

/usr/local/lib/python2.7/dist-packages/tensorflow/include/tensorflow/core/util/cuda_kernel_helper.h(660): error: identifier "__shfl_down" is undefined

/usr/local/lib/python2.7/dist-packages/tensorflow/include/tensorflow/core/util/cuda_kernel_helper.h(680): error: identifier "__shfl_xor" is undefined

**4 errors detected in the compilation of "/tmp/tmpxft_00001798_00000000-7_data_augmentation.cu.cpp1.ii".
Makefile:62: recipe for target 'preprocessing' failed
make: *** [preprocessing] Error 2**

cudaSuccess 35vs0

Hello there,
I've installed the nvidia-384.98 driver and cuda 8.0. Then when I'm running cuda samples (like .deviceQuery), I've just got a error 35: cuda driver is insufficent. I'm with a Nvidia Quadro M2200.
Could you please help me out? Thank you!

Add dependencies to opencv3 in CMSC733

Do:

sudo apt-get install libeigen3-dev

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