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make runtest error: no CUDA-capable device is detected #7049

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bxiong97 opened this issue Mar 8, 2022 · 1 comment
Open

make runtest error: no CUDA-capable device is detected #7049

bxiong97 opened this issue Mar 8, 2022 · 1 comment

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@bxiong97
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bxiong97 commented Mar 8, 2022

Issue summary

Hi,

I'm installing caffe 1.0 on wsl2 Ubuntu 20.04
I already managed to get
make all
make test
to run without error.

However, when I run make runtest, I got a bunch of errors.

(base) b***@DESKTOP-****:/mnt/c/Users/bx/caffe-1.0$ make runtest
.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: 0
Setting to use device 0
Current device id: 0
Current device name:
Note: Randomizing tests' orders with a seed of 55461 .
[==========] Running 2101 tests from 277 test cases.
[----------] Global test environment set-up.
[----------] 5 tests from EmbedLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN      ] EmbedLayerTest/1.TestForwardWithBias
E0307 22:13:32.392771  7483 common.cpp:114] Cannot create Cublas handle. Cublas won't be available.
E0307 22:13:32.432719  7483 common.cpp:121] Cannot create Curand generator. Curand won't be available.
[       OK ] EmbedLayerTest/1.TestForwardWithBias (114 ms)
[ RUN      ] EmbedLayerTest/1.TestGradient
E0307 22:13:32.469251  7483 common.cpp:141] Curand not available. Skipping setting the curand seed.
[       OK ] EmbedLayerTest/1.TestGradient (7 ms)
[ RUN      ] EmbedLayerTest/1.TestForward
[       OK ] EmbedLayerTest/1.TestForward (0 ms)
[ RUN      ] EmbedLayerTest/1.TestSetUp
[       OK ] EmbedLayerTest/1.TestSetUp (0 ms)
[ RUN      ] EmbedLayerTest/1.TestGradientWithBias
[       OK ] EmbedLayerTest/1.TestGradientWithBias (11 ms)
[----------] 5 tests from EmbedLayerTest/1 (132 ms total)

[----------] 8 tests from SliceLayerTest/2, where TypeParam = caffe::GPUDevice<float>
[ RUN      ] SliceLayerTest/2.TestGradientTrivial
F0307 22:13:32.488232  7483 syncedmem.hpp:22] Check failed: error == cudaSuccess (100 vs. 0)  no CUDA-capable device is detected
*** Check failure stack trace: ***
    @     0x7fc281c001c3  google::LogMessage::Fail()
    @     0x7fc281c0525b  google::LogMessage::SendToLog()
    @     0x7fc281bffebf  google::LogMessage::Flush()
    @     0x7fc281c006ef  google::LogMessageFatal::~LogMessageFatal()
    @     0x7fc280783103  caffe::SyncedMemory::mutable_cpu_data()
    @     0x7fc280600779  caffe::Blob<>::Reshape()
    @     0x7fc280600bce  caffe::Blob<>::Reshape()
    @     0x7fc280600c80  caffe::Blob<>::Blob()
    @     0x55ab7cfc2a6a  caffe::SliceLayerTest<>::SliceLayerTest()
    @     0x55ab7cfc2e20  testing::internal::TestFactoryImpl<>::CreateTest()
    @     0x55ab7d0633c1  testing::internal::HandleExceptionsInMethodIfSupported<>()
    @     0x55ab7d05b106  testing::TestInfo::Run()
    @     0x55ab7d05b265  testing::TestCase::Run()
    @     0x55ab7d05b78c  testing::internal::UnitTestImpl::RunAllTests()
    @     0x55ab7d05b857  testing::UnitTest::Run()
    @     0x55ab7cb36217  main
    @     0x7fc2801060b3  __libc_start_main
    @     0x55ab7cb3dd9e  _start
make: *** [Makefile:534: runtest] Aborted

NO CUDA issue

It cannot find CUDA!! But I have CUDA and driver installed. Verified with:
nvcc --version and nvidia-smi

(base) b***@DESKTOP-****:/mnt/c/Users/bx/caffe-1.0$ nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2022 NVIDIA Corporation
Built on Thu_Feb_10_18:23:41_PST_2022
Cuda compilation tools, release 11.6, V11.6.112
Build cuda_11.6.r11.6/compiler.30978841_0


(base) b***@DESKTOP-****:/mnt/c/Users/bx/caffe-1.0$ nvidia-smi
Mon Mar  7 22:25:20 2022
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 510.47.03    Driver Version: 511.79       CUDA Version: 11.6     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  NVIDIA GeForce ...  On   | 00000000:01:00.0  On |                  N/A |
|  0%   51C    P8    11W / 120W |    431MiB /  3072MiB |      5%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+

Makefile.config

## Refer to http://caffe.berkeleyvision.org/installation.html
# Contributions simplifying and improving our build system are welcome!

# cuDNN acceleration switch (uncomment to build with cuDNN).
USE_CUDNN := 1

# CPU-only switch (uncomment to build without GPU support).
# CPU_ONLY := 1

# uncomment to disable IO dependencies and corresponding data layers
# USE_OPENCV := 0
# USE_LEVELDB := 0
# USE_LMDB := 0

# uncomment to allow MDB_NOLOCK when reading LMDB files (only if necessary)
#	You should not set this flag if you will be reading LMDBs with any
#	possibility of simultaneous read and write
# ALLOW_LMDB_NOLOCK := 1

# Uncomment if you're using OpenCV 3
OPENCV_VERSION := 3

# To customize your choice of compiler, uncomment and set the following.
# N.B. the default for Linux is g++ and the default for OSX is clang++
# CUSTOM_CXX := g++

# CUDA directory contains bin/ and lib/ directories that we need.
CUDA_DIR := /usr/local/cuda
# CUDA_DIR := /usr/local/cuda-11.6
# On Ubuntu 14.04, if cuda tools are installed via
# "sudo apt-get install nvidia-cuda-toolkit" then use this instead:
# CUDA_DIR := /usr

# CUDA architecture setting: going with all of them.
# For CUDA < 6.0, comment the *_50 through *_61 lines for compatibility.
# For CUDA < 8.0, comment the *_60 and *_61 lines for compatibility.
CUDA_ARCH := -gencode arch=compute_50,code=sm_50 \
		#-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

# BLAS choice:
# atlas for ATLAS (default)
# mkl for MKL
# open for OpenBlas
BLAS := atlas
# Custom (MKL/ATLAS/OpenBLAS) include and lib directories.
# Leave commented to accept the defaults for your choice of BLAS
# (which should work)!
# BLAS_INCLUDE := /path/to/your/blas
# BLAS_LIB := /path/to/your/blas

# Homebrew puts openblas in a directory that is not on the standard search path
# BLAS_INCLUDE := $(shell brew --prefix openblas)/include
# BLAS_LIB := $(shell brew --prefix openblas)/lib

# This is required only if you will compile the matlab interface.
# MATLAB directory should contain the mex binary in /bin.
# MATLAB_DIR := /usr/local
# MATLAB_DIR := /Applications/MATLAB_R2012b.app

# NOTE: this is required only if you will compile the python interface.
# We need to be able to find Python.h and numpy/arrayobject.h.
# PYTHON_INCLUDE := /usr/include/python2.7 \
		# /usr/lib/python2.7/dist-packages/numpy/core/include

# Anaconda Python distribution is quite popular. Include path:
# Verify anaconda location, sometimes it's in root.
# ANACONDA_HOME := $(HOME)/anaconda
ANACONDA_HOME := /home/bear233/anaconda3
# PYTHON_INCLUDE := $(ANACONDA_HOME)/include \
		# $(ANACONDA_HOME)/include/python3.9 \
		# $(ANACONDA_HOME)/lib/python2.7/site-packages/numpy/core/include

# Uncomment to use Python 3 (default is Python 2)
 PYTHON_LIBRARIES := boost_python3 python3.8
 PYTHON_INCLUDE := /usr/include/python3.8 \
                 # /usr/lib/python3.8/dist-packages/numpy/core/include

# We need to be able to find libpythonX.X.so or .dylib.
PYTHON_LIB := /usr/lib
# PYTHON_LIB := $(ANACONDA_HOME)/lib

# Homebrew installs numpy in a non standard path (keg only)
# PYTHON_INCLUDE += $(dir $(shell python -c 'import numpy.core; print(numpy.core.__file__)'))/include
# PYTHON_LIB += $(shell brew --prefix numpy)/lib

# Uncomment to support layers written in Python (will link against Python libs)
WITH_PYTHON_LAYER := 1

# Whatever else you find you need goes here.
INCLUDE_DIRS := $(PYTHON_INCLUDE)/usr/local/incllude  /usr/include/hdf5/serial/
# LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib
LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /usr/lib/x86_64-linux-gnu /usr/lib/x86_64-linux-gnu/hdf5/serial

# If Homebrew is installed at a non standard location (for example your home directory) and you use it for general dependencies
# INCLUDE_DIRS += $(shell brew --prefix)/include
# LIBRARY_DIRS += $(shell brew --prefix)/lib

# NCCL acceleration switch (uncomment to build with NCCL)
# https://github.com/NVIDIA/nccl (last tested version: v1.2.3-1+cuda8.0)
# USE_NCCL := 1

# Uncomment to use `pkg-config` to specify OpenCV library paths.
# (Usually not necessary -- OpenCV libraries are normally installed in one of the above $LIBRARY_DIRS.)
# USE_PKG_CONFIG := 1

# N.B. both build and distribute dirs are cleared on `make clean`
BUILD_DIR := build
DISTRIBUTE_DIR := distribute

# Uncomment for debugging. Does not work on OSX due to https://github.com/BVLC/caffe/issues/171
# DEBUG := 1

# The ID of the GPU that 'make runtest' will use to run unit tests.
TEST_GPUID := 0

# enable pretty build (comment to see full commands)
Q ?= @

System configuration

  • Operating system: Linux(WSL2)
  • CUDA version (if applicable): 11.6
  • CUDNN version (if applicable): 8.3.2
  • Python version (if using pycaffe): 3.9.7

Could someone please help me with it? I already tried out most solutions I found on internet and no luck. Many thanks!!!!!!
@bxiong97
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Author

bxiong97 commented Mar 8, 2022

NEW UPDATE:

I tried CUDA_VISIBLE_DEVICES=0 make runtest instead of make runtest

And I got more test cases past but still got the same issue with CUDA device number = 0.

(base) b***@DESKTOP-****:/mnt/c/Users/bx/caffe-1.0$ CUDA_VISIBLE_DEVICES=0 make runtest
.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: 0
Setting to use device 0
Current device id: 0
Current device name:
Note: Randomizing tests' orders with a seed of 54062 .
[==========] Running 2101 tests from 277 test cases.
[----------] Global test environment set-up.
[----------] 3 tests from MSRAFillerTest/0, where TypeParam = float
[ RUN      ] MSRAFillerTest/0.TestFillFanIn
E0308 00:11:50.928552   340 common.cpp:114] Cannot create Cublas handle. Cublas won't be available.
E0308 00:11:50.970577   340 common.cpp:121] Cannot create Curand generator. Curand won't be available.
[       OK ] MSRAFillerTest/0.TestFillFanIn (95 ms)
[ RUN      ] MSRAFillerTest/0.TestFillAverage
[       OK ] MSRAFillerTest/0.TestFillAverage (0 ms)
[ RUN      ] MSRAFillerTest/0.TestFillFanOut
[       OK ] MSRAFillerTest/0.TestFillFanOut (1 ms)
[----------] 3 tests from MSRAFillerTest/0 (96 ms total)

[----------] 12 tests from ArgMaxLayerTest/1, where TypeParam = double
[ RUN      ] ArgMaxLayerTest/1.TestCPUMaxValTopK
E0308 00:11:50.980310   340 common.cpp:141] Curand not available. Skipping setting the curand seed.
[       OK ] ArgMaxLayerTest/1.TestCPUMaxValTopK (3 ms)
[ RUN      ] ArgMaxLayerTest/1.TestSetupAxisMaxVal
[       OK ] ArgMaxLayerTest/1.TestSetupAxisMaxVal (2 ms)
[ RUN      ] ArgMaxLayerTest/1.TestSetupMaxVal
[       OK ] ArgMaxLayerTest/1.TestSetupMaxVal (1 ms)
[ RUN      ] ArgMaxLayerTest/1.TestCPUAxisMaxValTopK
[       OK ] ArgMaxLayerTest/1.TestCPUAxisMaxValTopK (18 ms)
[ RUN      ] ArgMaxLayerTest/1.TestCPUAxis
[       OK ] ArgMaxLayerTest/1.TestCPUAxis (4 ms)
[ RUN      ] ArgMaxLayerTest/1.TestCPUTopK
[       OK ] ArgMaxLayerTest/1.TestCPUTopK (1 ms)
[ RUN      ] ArgMaxLayerTest/1.TestCPU
[       OK ] ArgMaxLayerTest/1.TestCPU (1 ms)
[ RUN      ] ArgMaxLayerTest/1.TestSetupAxis
[       OK ] ArgMaxLayerTest/1.TestSetupAxis (0 ms)
[ RUN      ] ArgMaxLayerTest/1.TestSetupAxisNegativeIndexing
[       OK ] ArgMaxLayerTest/1.TestSetupAxisNegativeIndexing (1 ms)
[ RUN      ] ArgMaxLayerTest/1.TestSetup
[       OK ] ArgMaxLayerTest/1.TestSetup (0 ms)
[ RUN      ] ArgMaxLayerTest/1.TestCPUMaxVal
[       OK ] ArgMaxLayerTest/1.TestCPUMaxVal (1 ms)
[ RUN      ] ArgMaxLayerTest/1.TestCPUAxisTopK
[       OK ] ArgMaxLayerTest/1.TestCPUAxisTopK (19 ms)
[----------] 12 tests from ArgMaxLayerTest/1 (51 ms total)

[----------] 27 tests from ReductionLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN      ] ReductionLayerTest/1.TestMeanCoeff
[       OK ] ReductionLayerTest/1.TestMeanCoeff (7 ms)
[ RUN      ] ReductionLayerTest/1.TestAbsSumCoeffAxis1
[       OK ] ReductionLayerTest/1.TestAbsSumCoeffAxis1 (0 ms)
[ RUN      ] ReductionLayerTest/1.TestMeanCoeffGradient
[       OK ] ReductionLayerTest/1.TestMeanCoeffGradient (1 ms)
[ RUN      ] ReductionLayerTest/1.TestAbsSumCoeffGradient
[       OK ] ReductionLayerTest/1.TestAbsSumCoeffGradient (0 ms)
[ RUN      ] ReductionLayerTest/1.TestAbsSumGradient
[       OK ] ReductionLayerTest/1.TestAbsSumGradient (0 ms)
[ RUN      ] ReductionLayerTest/1.TestSumOfSquaresCoeff
[       OK ] ReductionLayerTest/1.TestSumOfSquaresCoeff (0 ms)
[ RUN      ] ReductionLayerTest/1.TestSumCoeff
[       OK ] ReductionLayerTest/1.TestSumCoeff (0 ms)
[ RUN      ] ReductionLayerTest/1.TestSumOfSquaresGradient
[       OK ] ReductionLayerTest/1.TestSumOfSquaresGradient (0 ms)
[ RUN      ] ReductionLayerTest/1.TestSumCoeffAxis1
[       OK ] ReductionLayerTest/1.TestSumCoeffAxis1 (0 ms)
[ RUN      ] ReductionLayerTest/1.TestSetUpWithAxis2
[       OK ] ReductionLayerTest/1.TestSetUpWithAxis2 (0 ms)
[ RUN      ] ReductionLayerTest/1.TestAbsSumCoeffAxis1Gradient
[       OK ] ReductionLayerTest/1.TestAbsSumCoeffAxis1Gradient (1 ms)
[ RUN      ] ReductionLayerTest/1.TestAbsSum
[       OK ] ReductionLayerTest/1.TestAbsSum (0 ms)
[ RUN      ] ReductionLayerTest/1.TestAbsSumCoeff
[       OK ] ReductionLayerTest/1.TestAbsSumCoeff (0 ms)
[ RUN      ] ReductionLayerTest/1.TestSumGradient
[       OK ] ReductionLayerTest/1.TestSumGradient (1 ms)
[ RUN      ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1Gradient
[       OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1Gradient (1 ms)
[ RUN      ] ReductionLayerTest/1.TestSumOfSquaresCoeffGradient
[       OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffGradient (0 ms)
[ RUN      ] ReductionLayerTest/1.TestSum
[       OK ] ReductionLayerTest/1.TestSum (0 ms)
[ RUN      ] ReductionLayerTest/1.TestSumOfSquares
[       OK ] ReductionLayerTest/1.TestSumOfSquares (0 ms)
[ RUN      ] ReductionLayerTest/1.TestSetUpWithAxis1
[       OK ] ReductionLayerTest/1.TestSetUpWithAxis1 (0 ms)
[ RUN      ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1
[       OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1 (0 ms)
[ RUN      ] ReductionLayerTest/1.TestMeanCoeffGradientAxis1
[       OK ] ReductionLayerTest/1.TestMeanCoeffGradientAxis1 (1 ms)
[ RUN      ] ReductionLayerTest/1.TestMeanGradient
[       OK ] ReductionLayerTest/1.TestMeanGradient (1 ms)
[ RUN      ] ReductionLayerTest/1.TestSumCoeffGradient
[       OK ] ReductionLayerTest/1.TestSumCoeffGradient (0 ms)
[ RUN      ] ReductionLayerTest/1.TestSumCoeffAxis1Gradient
[       OK ] ReductionLayerTest/1.TestSumCoeffAxis1Gradient (1 ms)
[ RUN      ] ReductionLayerTest/1.TestMeanCoeffAxis1
[       OK ] ReductionLayerTest/1.TestMeanCoeffAxis1 (0 ms)
[ RUN      ] ReductionLayerTest/1.TestSetUp
[       OK ] ReductionLayerTest/1.TestSetUp (0 ms)
[ RUN      ] ReductionLayerTest/1.TestMean
[       OK ] ReductionLayerTest/1.TestMean (0 ms)
[----------] 27 tests from ReductionLayerTest/1 (15 ms total)

[----------] 2 tests from InfogainLossLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN      ] InfogainLossLayerTest/0.TestGradient
F0308 00:11:51.111351   340 cudnn_softmax_layer.cpp:15] Check failed: status == CUDNN_STATUS_SUCCESS (1 vs. 0)  CUDNN_STATUS_NOT_INITIALIZED
*** Check failure stack trace: ***
    @     0x7fadd223e1c3  google::LogMessage::Fail()
    @     0x7fadd224325b  google::LogMessage::SendToLog()
    @     0x7fadd223debf  google::LogMessage::Flush()
    @     0x7fadd223e6ef  google::LogMessageFatal::~LogMessageFatal()
    @     0x7fadd0cad050  caffe::CuDNNSoftmaxLayer<>::LayerSetUp()
    @     0x7fadd0cf96b6  caffe::InfogainLossLayer<>::LayerSetUp()
    @     0x555a5f4d2b35  caffe::GradientChecker<>::CheckGradientExhaustive()
    @     0x555a5f6e1dfb  caffe::InfogainLossLayerTest_TestGradient_Test<>::TestBody()
    @     0x555a5f9ca211  testing::internal::HandleExceptionsInMethodIfSupported<>()
    @     0x555a5f9c204d  testing::Test::Run()
    @     0x555a5f9c2188  testing::TestInfo::Run()
    @     0x555a5f9c2265  testing::TestCase::Run()
    @     0x555a5f9c278c  testing::internal::UnitTestImpl::RunAllTests()
    @     0x555a5f9c2857  testing::UnitTest::Run()
    @     0x555a5f49d217  main
    @     0x7fadd07440b3  __libc_start_main
    @     0x555a5f4a4d9e  _start
make: *** [Makefile:534: runtest] Aborted

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