make runtest error

[priyapaul]

I tried to make the code: It gives me the following error:

`$ make runtest .build_release/tools/caffe caffe: command line brew usage: caffe

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 (Run in GPU mode on given device ID.) type: int32 default: -1 -iterations (The number of iterations to run.) type: int32 default: 50 -model (The model definition protocol buffer text file..) type: string default: "" -snapshot (Optional; the snapshot solver state to resume training.) type: string default: "" -solver (The solver definition protocol buffer text file.) type: string default: "" -weights (Optional; the pretrained weights to initialize finetuning. Cannot be set simultaneously with snapshot.) type: string default: "" .build_release/test/test_all.testbin 0 --gtest_shuffle Cuda number of devices: 8 Setting to use device 0 Current device id: 0 Note: Randomizing tests' orders with a seed of 10499 . [==========] Running 1092 tests from 198 test cases. [----------] Global test environment set-up. [----------] 6 tests from NesterovSolverTest/3, where TypeParam = caffe::DoubleG PU [ RUN ] NesterovSolverTest/3.TestNesterovLeastSquaresUpdate F0130 14:06:28.077040 39193 solver.cpp:60] No grl and fc interval parameters! Check failure stack trace: @ 0x2b06c60c4daa (unknown) @ 0x2b06c60c4ce4 (unknown) @ 0x2b06c60c46e6 (unknown) @ 0x2b06c60c7687 (unknown) @ 0x2b06c7a006eb caffe::Solver<>::Init() @ 0x2b06c7a00856 caffe::Solver<>::Solver() @ 0x4f9302 caffe::NesterovSolverTest<>::InitSolver() @ 0x4f9bcb caffe::GradientBasedSolverTest<>::InitSolverFromProtoS tring() @ 0x4ede9a caffe::GradientBasedSolverTest<>::RunLeastSquaresSolve r() @ 0x4f1613 caffe::NesterovSolverTest_TestNesterovLeastSquaresUpda te_Test<>::TestBody() @ 0x703dc3 testing::internal::HandleExceptionsInMethodIfSupported <>() @ 0x6faa07 testing::Test::Run() @ 0x6faaae testing::TestInfo::Run() @ 0x6fabb5 testing::TestCase::Run() @ 0x6fdef8 testing::internal::UnitTestImpl::RunAllTests() @ 0x6fe187 testing::UnitTest::Run() @ 0x442eda main @ 0x2b06c86ccf45 (unknown) @ 0x447f69 (unknown) @ (nil) (unknown) make: *** [runtest] Aborted (core dumped) $ `

What could be the error? Please help

[chen1474147]

Hi, I am not sure about this problem. I think it maybe gpu version. You know, I use an old caffe version. It works fine for cuda 7.0. I think you can try to compile a cpu version to see if there is any problems. Then you may try cuda 7.0.

[priyapaul]

Tried compiling with cpu verison, this gives errors as shown,

ppl4hi@HI-Z0FH9:~/CODES/Deep3DPose-master/5-caffe$ make all PROTOC src/caffe/proto/caffe.proto CXX .build_release/src/caffe/proto/caffe.pb.cc CXX src/caffe/util/benchmark.cpp CXX src/caffe/util/io.cpp CXX src/caffe/util/insert_splits.cpp CXX src/caffe/util/im2col.cpp CXX src/caffe/util/math_functions.cpp CXX src/caffe/util/db.cpp CXX src/caffe/util/cudnn.cpp CXX src/caffe/util/upgrade_proto.cpp CXX src/caffe/common.cpp CXX src/caffe/net.cpp CXX src/caffe/solver.cpp CXX src/caffe/internal_thread.cpp CXX src/caffe/syncedmem.cpp CXX src/caffe/blob.cpp CXX src/caffe/data_transformer.cpp CXX src/caffe/layer_factory.cpp CXX src/caffe/layers/slice_layer.cpp CXX src/caffe/layers/memory_data_layer.cpp CXX src/caffe/layers/power_layer.cpp CXX src/caffe/layers/split_layer.cpp CXX src/caffe/layers/silence_layer.cpp CXX src/caffe/layers/image_data_layer.cpp CXX src/caffe/layers/tanh_layer.cpp CXX src/caffe/layers/hdf5_data_layer.cpp CXX src/caffe/layers/cudnn_softmax_layer.cpp CXX src/caffe/layers/neuron_layer.cpp CXX src/caffe/layers/loss_layer.cpp CXX src/caffe/layers/deconv_layer.cpp CXX src/caffe/layers/threshold_layer.cpp CXX src/caffe/layers/cudnn_relu_layer.cpp CXX src/caffe/layers/contrastive_loss_layer.cpp CXX src/caffe/layers/mvn_layer.cpp CXX src/caffe/layers/cudnn_conv_layer.cpp CXX src/caffe/layers/softmax_layer.cpp CXX src/caffe/layers/sigmoid_layer.cpp CXX src/caffe/layers/argmax_layer.cpp CXX src/caffe/layers/infogain_loss_layer.cpp CXX src/caffe/layers/base_conv_layer.cpp CXX src/caffe/layers/sigmoid_cross_entropy_loss_layer.cpp CXX src/caffe/layers/im2col_layer.cpp CXX src/caffe/layers/dummy_data_layer.cpp CXX src/caffe/layers/cudnn_tanh_layer.cpp CXX src/caffe/layers/unpooling.cpp In file included from ./include/caffe/common.hpp:19:0, from src/caffe/layers/unpooling.cpp:5: ./include/caffe/util/device_alternate.hpp:14:15: error: expected initializer before ‘<’ token void classname::Forward_gpu(const vector<Blob>& bottom, \ ^ src/caffe/layers/unpooling.cpp:223:1: note: in expansion of macro ‘STUB_GPU’ STUB_GPU(UnpoolingLayer); ^ ./include/caffe/util/device_alternate.hpp:17:15: error: expected initializer before ‘<’ token void classname::Backward_gpu(const vector<Blob>& top, \ ^ src/caffe/layers/unpooling.cpp:223:1: note: in expansion of macro ‘STUB_GPU’ STUB_GPU(UnpoolingLayer); ^ make: *** [.build_release/src/caffe/layers/unpooling.o] Error 1

[chen1474147]

Sorry, I re-compiled in my computer, but it succeed...

please do not use cudnn. It works fine for both cuda or cpu version.

From the error, I think it is something wrong in my own unpooling layer. If you are familiar with caffe, I would recommend you to remove this layer from caffe. Then you can try to compile again.

But it do compiles successfully in my computer...

[priyapaul]

I am not using cudnn. This is my makefile.config. Is there anything to change? note: The original caffe version compiles without problems on my system.

## 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

# 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
# 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 lines for compatibility.
CUDA_ARCH := -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_50,code=compute_50

# 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

# 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
# PYTHON_INCLUDE := $(ANACONDA_HOME)/include \
        # $(ANACONDA_HOME)/include/python2.7 \
        # $(ANACONDA_HOME)/lib/python2.7/site-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

# 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/include
LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib

# 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

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 ?= @

[priyapaul]

I couldn't fix it. I stopped at make test, did not do make runtest! bu there are other errors still!

[chen1474147]

You mean you can make all and succeed, but you failed when you make test? I can make test succeed... when you run make runtest, it should show

AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithWeightDecay F0201 23:46:06.387573 16190 solver.cpp:60] No grl and fc interval parameters! Check failure stack trace: @ 0x2b8fb09c6daa (unknown) @ 0x2b8fb09c6ce4 (unknown) @ 0x2b8fb09c66e6 (unknown) @ 0x2b8fb09c9687 (unknown) @ 0x2b8fb1b54ceb caffe::Solver<>::Init() @ 0x2b8fb1b54e56 caffe::Solver<>::Solver() @ 0x4cc806 caffe::AdaGradSolverTest<>::InitSolver() @ 0x4ccd7b caffe::GradientBasedSolverTest<>::InitSolverFromProtoString() @ 0x4c0889 caffe::GradientBasedSolverTest<>::RunLeastSquaresSolver() @ 0x4caa86 caffe::AdaGradSolverTest_TestAdaGradLeastSquaresUpdateWithWeightDecay_Test<>::TestBody() @ 0x705043 testing::internal::HandleExceptionsInMethodIfSupported<>() @ 0x6fbc87 testing::Test::Run() @ 0x6fbd2e testing::TestInfo::Run() @ 0x6fbe35 testing::TestCase::Run() @ 0x6ff178 testing::internal::UnitTestImpl::RunAllTests() @ 0x6ff407 testing::UnitTest::Run() @ 0x442f2a main

This is because I assert you need to set the two parameters.

[priyapaul]

Thank you for your reply. yes, I can do make all -SUCCESS make test -SUCCESS make runtest - FAILED, with the same error you mentioned. So I suppose, its okay, not to run the make runtest initially. But, only after the parameters are set Thank you.