Makefile:476: recipe for target 'runtest' failed

Accelerated Computing CUDA CUDA Setup and Installation
1

Dear sir,
When I do make runtest,caffe shows the message bellow:
F1221 10:25:21.685459 9173 syncedmem.cpp:57] Check failed: error == cudaSuccess (30 vs. 0) unknown error
*** Check failure stack trace: ***
@ 0x7f82f07d95cd google::LogMessage::Fail()
@ 0x7f82f07db433 google::LogMessage::SendToLog()
@ 0x7f82f07d915b google::LogMessage::Flush()
@ 0x7f82f07dbe1e google::LogMessageFatal::~LogMessageFatal()
@ 0x7f82eec22ce8 caffe::SyncedMemory::gpu_data()
@ 0x7f82eec69612 caffe::Blob<>::gpu_data()
@ 0x7f82eecaab4c caffe::ConvolutionLayer<>::Forward_gpu()
@ 0x45bcf2 caffe::Layer<>::Forward()
@ 0x45ec74 caffe::GradientChecker<>::CheckGradientSingle()
@ 0x463633 caffe::GradientChecker<>::CheckGradientExhaustive()
@ 0x752d5f caffe::ConvolutionLayerTest_Test1x1Gradient_Test<>::TestBody()
@ 0x7c86d3 testing::internal::HandleExceptionsInMethodIfSupported<>()
@ 0x7c1cea testing::Test::Run()
@ 0x7c1e38 testing::TestInfo::Run()
@ 0x7c1f15 testing::TestCase::Run()
@ 0x7c31ef testing::internal::UnitTestImpl::RunAllTests()
@ 0x7c3513 testing::UnitTest::Run()
@ 0x451059 main
@ 0x7f82eded6830 __libc_start_main
@ 0x457259 _start
@ (nil) (unknown)
Makefile:476: recipe for target ‘runtest’ failed
make: *** [runtest] Aborted (core dumped)

Please help me how to solve this problem.I am using cuda 8 and cudnn 4.

2

Do the sample apps that ship with CUDA run correctly?

3

Dear sir @njuffa,Thanks for your reply.I have compiled and run a model successfully about 7 days before.But when I tried to re train same model,I got some error message and decided to re compile caffe again and during make runtest I got the above message.

Dear sir,I am new in caffe and cuda.So, I am not clear about your comments.Actually,what I need to do?.Please clarify me again please.

4

Dear sir@njuffa,I run samples,It shows the following message…

habib@habib:~/cuda_samples/NVIDIA_CUDA-8.0_Samples/1_Utilities/deviceQuery$ ./deviceQuery
./deviceQuery Starting…

CUDA Device Query (Runtime API) version (CUDART static linking)

cudaGetDeviceCount returned 30
→ unknown error
Result = FAIL

habib@habib:~$ nvidia-smi
NVIDIA-SMI has failed because it couldn’t communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running.

Please tell me the way…how to solve…

5

Your CUDA install is broken.

It might be that you simply need to reboot the machine.

Otherwise follow the instructions in the linux install guide:

[url]Installation Guide Linux :: CUDA Toolkit Documentation