我正在尝试为Azure中的模型培训构建VM。我发现这个Data Science Virtual Machine for Linux (Ubuntu)
VM似乎是一个合适的候选者。
不幸的是,当我启动VM并安装了caffe
先决条件时,我无法运行测试。我在make runtest
上收到了以下错误(make all
和make test
已完成且没有错误):
NVIDIA: no NVIDIA devices found
Cuda number of devices: 0
Setting to use device 0
Current device id: 0
Current device name:
Note: Randomizing tests' orders with a seed of 97204 .
[==========] Running 2041 tests from 267 test cases.
[----------] Global test environment set-up.
[----------] 11 tests from AdaDeltaSolverTest/3, where TypeParam = caffe::GPUDevice<double>
[ RUN ] AdaDeltaSolverTest/3.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum
NVIDIA: no NVIDIA devices found
E0715 02:24:32.097311 59355 common.cpp:114] Cannot create Cublas handle. Cublas won't be available.
NVIDIA: no NVIDIA devices found
E0715 02:24:32.103780 59355 common.cpp:121] Cannot create Curand generator. Curand won't be available.
F0715 02:24:32.103914 59355 test_gradient_based_solver.cpp:80] Check failed: error == cudaSuccess (30 vs. 0) unknown error
*** Check failure stack trace: ***
@ 0x7f77a463f5cd google::LogMessage::Fail()
@ 0x7f77a4641433 google::LogMessage::SendToLog()
@ 0x7f77a463f15b google::LogMessage::Flush()
@ 0x7f77a4641e1e google::LogMessageFatal::~LogMessageFatal()
@ 0x7115e3 caffe::GradientBasedSolverTest<>::TestLeastSquaresUpdate()
@ 0x7122af caffe::AdaDeltaSolverTest_TestAdaDeltaLeastSquaresUpdateWithHalfMomentum_Test<>::TestBody()
@ 0x8e6023 testing::internal::HandleExceptionsInMethodIfSupported<>()
@ 0x8df63a testing::Test::Run()
@ 0x8df788 testing::TestInfo::Run()
@ 0x8df865 testing::TestCase::Run()
@ 0x8e0b3f testing::internal::UnitTestImpl::RunAllTests()
@ 0x8e0e63 testing::UnitTest::Run()
@ 0x466ecd main
@ 0x7f77a111c830 __libc_start_main
@ 0x46e589 _start
@ (nil) (unknown)
Makefile:532: recipe for target 'runtest' failed
make: *** [runtest] Aborted (core dumped)
是否可以使用caffe
在Azure中启动适合启用GPU的机器学习的虚拟机?
有关VM here的所有详细信息
答案 0 :(得分:3)
Ubuntu的数据科学虚拟机(DSVM)已经在/ opt / caffe中安装了Caffe。要在GPU上使用它,请通过选择其中一个NC大小来创建具有K80 GPU的VM。 (请务必选择HDD作为存储类型,否则NC尺寸将不会出现。)Caffe将随时可用。
另请注意,PyCaffe可用。在终点站:
source activate root
然后python将提供PyCaffe。