CUDA报错： Cannot create Cublas handle. Cublas won't be available. 以及：Check failed: status == CUBLAS_STATUS_SUCCESS (1 vs. 0) CUBLAS_STATUS_NOT_INITIALIZED

Error描述：

aita@aita-Alienware-Area-51-R5:~/AITA2/daisida/ssd-github/caffe$ make runtest -j8
.build_release/tools/caffe
caffe: command line brew
usage: caffe <command> <args>

commands:
  train           train or finetune a model
  test            score a model
  device_query    show GPU diagnostic information
  time            benchmark model execution time

  Flags from tools/caffe.cpp:
    -gpu (Optional; run in GPU mode on given device IDs separated by ','.Use
      '-gpu all' to run on all available GPUs. The effective training batch
      size is multiplied by the number of devices.) type: string default: ""
    -iterations (The number of iterations to run.) type: int32 default: 50
    -level (Optional; network level.) type: int32 default: 0
    -model (The model definition protocol buffer text file.) type: string
      default: ""
    -phase (Optional; network phase (TRAIN or TEST). Only used for 'time'.)
      type: string default: ""
    -sighup_effect (Optional; action to take when a SIGHUP signal is received:
      snapshot, stop or none.) type: string default: "snapshot"
    -sigint_effect (Optional; action to take when a SIGINT signal is received:
      snapshot, stop or none.) type: string default: "stop"
    -snapshot (Optional; the snapshot solver state to resume training.)
      type: string default: ""
    -solver (The solver definition protocol buffer text file.) type: string
      default: ""
    -stage (Optional; network stages (not to be confused with phase), separated
      by ','.) type: string default: ""
    -weights (Optional; the pretrained weights to initialize finetuning,
      separated by ','. Cannot be set simultaneously with snapshot.)
      type: string default: ""
.build_release/test/test_all.testbin 0 --gtest_shuffle
Cuda number of devices: 3
Setting to use device 0
Current device id: 0
Current device name: GeForce GTX 1080 Ti
Note: Randomizing tests' orders with a seed of 48866 .
[==========] Running 2361 tests from 309 test cases.
[----------] Global test environment set-up.
[----------] 7 tests from DetectionOutputLayerTest/2, where TypeParam = caffe::GPUDevice<float>
[ RUN      ] DetectionOutputLayerTest/2.TestForwardShareLocationTopK
E0103 00:37:53.042623 19470 common.cpp:113] Cannot create Cublas handle. Cublas won't be available.
[       OK ] DetectionOutputLayerTest/2.TestForwardShareLocationTopK (219 ms)
[ RUN      ] DetectionOutputLayerTest/2.TestForwardNoShareLocationNeg0TopK
[       OK ] DetectionOutputLayerTest/2.TestForwardNoShareLocationNeg0TopK (2 ms)
[ RUN      ] DetectionOutputLayerTest/2.TestSetup
[       OK ] DetectionOutputLayerTest/2.TestSetup (1 ms)
[ RUN      ] DetectionOutputLayerTest/2.TestForwardNoShareLocationNeg0
[       OK ] DetectionOutputLayerTest/2.TestForwardNoShareLocationNeg0 (2 ms)
[ RUN      ] DetectionOutputLayerTest/2.TestForwardNoShareLocation
[       OK ] DetectionOutputLayerTest/2.TestForwardNoShareLocation (2 ms)
[ RUN      ] DetectionOutputLayerTest/2.TestForwardShareLocation
[       OK ] DetectionOutputLayerTest/2.TestForwardShareLocation (1 ms)
[ RUN      ] DetectionOutputLayerTest/2.TestForwardNoShareLocationTopK
[       OK ] DetectionOutputLayerTest/2.TestForwardNoShareLocationTopK (2 ms)
[----------] 7 tests from DetectionOutputLayerTest/2 (229 ms total)

[----------] 2 tests from EuclideanLossLayerTest/2, where TypeParam = caffe::GPUDevice<float>
[ RUN      ] EuclideanLossLayerTest/2.TestGradient
F0103 00:37:53.068140 19470 math_functions.cu:110] Check failed: status == CUBLAS_STATUS_SUCCESS (1 vs. 0)  CUBLAS_STATUS_NOT_INITIALIZED
*** Check failure stack trace: ***
    @     0x7f9210daf5cd  google::LogMessage::Fail()
    @     0x7f9210db1433  google::LogMessage::SendToLog()
    @     0x7f9210daf15b  google::LogMessage::Flush()
    @     0x7f9210db1e1e  google::LogMessageFatal::~LogMessageFatal()
    @     0x7f920c7ad43a  caffe::caffe_gpu_dot<>()
    @     0x7f920c7ec7c3  caffe::EuclideanLossLayer<>::Forward_gpu()
    @           0x48ae96  caffe::Layer<>::Forward()
    @           0x48d445  caffe::GradientChecker<>::CheckGradientSingle()
    @           0x4aea53  caffe::GradientChecker<>::CheckGradientExhaustive()
    @           0x848f0c  caffe::EuclideanLossLayerTest_TestGradient_Test<>::TestBody()
    @           0xa17c23  testing::internal::HandleExceptionsInMethodIfSupported<>()
    @           0xa1123a  testing::Test::Run()
    @           0xa11388  testing::TestInfo::Run()
    @           0xa11465  testing::TestCase::Run()
    @           0xa1273f  testing::internal::UnitTestImpl::RunAllTests()
    @           0xa12a63  testing::UnitTest::Run()
    @           0x47a98d  main
    @     0x7f920ba46830  __libc_start_main
    @           0x483b49  _start
    @              (nil)  (unknown)
Makefile:526: recipe for target 'runtest' failed
make: *** [runtest] Aborted (core dumped)

　　

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解决方案1：

sudo rm -rf .nv/

---

解决方案2：

I realized that there was an error with my CUDA installation, specifically with the cuBLAS library. You can check if yours has the same problem by running the sample program simpleCUBLAS:

1. cd /usr/local/cuda/samples/7_CUDALibraries/simpleCUBLAS # check if your samples are in the same directory
2. make
3. ./simpleCUBLAS

I was getting an error when I tried to run it, so I reinstalled CUDA 8.0 and it solved the issue.

---

此前尝试过：

CUDA_VISIBLE_DEVICES=2

原因是这个Demo默认使用所有探测到的CUDA 设备，而实验室的CUDA设备还有很多人在用，这会造成问题（可能是冲突或者资源不够，或者不被允许个人使用这么多个？）

所以在运行的命令行前面要加上一定的限制：

CUDA_VISIBLE_DEVICES=2 ./build/examples/openpose/openpose.bin --net_resolution "160x80" --video examples/media/video.avi

使得被探测到的设备数量只有两个。

然后发现还是运行不了，为什么呢？

因为OS X上的SHELL并不具备显示远程窗口的功能，

所以使用MobaXterm（在WIN10下），然后就成功了，因为这个软件直接内置了X server的接口