import caffe: ImportError: cannot import name symbol_database

[Matthew Scott]

Hi,  

I had installed caffe and run the MNIST success, after I "make pycaffe" ,I tried to "import caffe"

System: ubuntu 15.04

>>> import caffe

/home/lab/caffe/python/caffe/pycaffe.py:13: RuntimeWarning: to-Python converter for boost::shared_ptr<caffe::Net<float> > already registered; second conversion method ignored.

  from ._caffe import Net, SGDSolver, NesterovSolver, AdaGradSolver, \

/home/lab/caffe/python/caffe/pycaffe.py:13: RuntimeWarning: to-Python converter for boost::shared_ptr<caffe::Blob<float> > already registered; second conversion method ignored.

  from ._caffe import Net, SGDSolver, NesterovSolver, AdaGradSolver, \

/home/lab/caffe/python/caffe/pycaffe.py:13: RuntimeWarning: to-Python converter for boost::shared_ptr<caffe::Solver<float> > already registered; second conversion method ignored.

  from ._caffe import Net, SGDSolver, NesterovSolver, AdaGradSolver, \

Traceback (most recent call last):

  File "<stdin>", line 1, in <module>

  File "/home/lab/caffe/python/caffe/__init__.py", line 1, in <module>

    from .pycaffe import Net, SGDSolver, NesterovSolver, AdaGradSolver, RMSPropSolver, AdaDeltaSolver, AdamSolver

  File "/home/lab/caffe/python/caffe/pycaffe.py", line 15, in <module>

    import caffe.io

  File "/home/lab/caffe/python/caffe/io.py", line 8, in <module>

    from caffe.proto import caffe_pb2

  File "/home/lab/caffe/python/caffe/proto/caffe_pb2.py", line 10, in <module>

    from google.protobuf import symbol_database as _symbol_database

ImportError: cannot import name symbol_database

if I run "sudo python" then "import caffe"

>>> import caffe

Traceback (most recent call last):

  File "<stdin>", line 1, in <module>

ImportError: No module named caffe

refer to this topic : Caffe protocol buffers doesn't work after Ubuntu 15 I install the protobuf v 2.5.0, but the problem is the same

refer to this topic : import caffe , I find in the 

/usr/local/lib/python2.7/dist-packages/google/protobuf

there is already a  symbol_database.py

My 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

# 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 := mkl

# Custom (MKL/ATLAS/OpenBLAS) include and lib directories.

# Leave commented to accept the defaults for your choice of BLAS

# (which should work)!

BLAS_INCLUDE := /opt/intel/mkl/include

BLAS_LIB := /opt/intel/mkl/lib/intel64

# 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 := /opt/matlab/r2014a

# 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)/anaconda2

# PYTHON_INCLUDE := $(ANACONDA_HOME)/include \

# $(ANACONDA_HOME)/include/python2.7 \

# $(ANACONDA_HOME)/lib/python2.7/site-packages/numpy/core/include \

# Uncomment to use Python 3 (default is Python 2)

# PYTHON_LIBRARIES := boost_python3 python3.5m

# PYTHON_INCLUDE := /usr/include/python3.5m \

#                 /usr/lib/python3.5/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/include /usr/lib/x86_64-linux-gnu/hdf5/serial/include

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

# 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 ?= @

some part of my /etc/profile

export PYTHONPATH=${HOME}/caffe/python:$PYTHONPATH

export MATLABPATH=${HOME}/caffe/matlab:$MATLABPATH

export LD_LIBRARY_PATH=${HOME}/caffe/build/lib:$LD_LIBRARY_PATH

export PATH=/usr/local/cuda-7.5/bin:$PATH

export LD_LIBRARY_PATH=/usr/local/lib/:$LD_LIBRARY_PATH

export LD_LIBRARY_PATH=/usr/local/cuda-7.5/lib64:$LD_LIBRARY_PATH

don't know what to do, need some help, thanks

[Jan]

Disclaimer: I am not sure how things are with Ubuntus newer than 14.04, there seem to be numerous problems. So I always advise to stick with 14.04 for caffe, for now.

This seems to be a problem with protobuf, and not with your Makefile.config or paths. Maybe you are using somehow multiple and/or incompatible versions of protobuf? Try to deinstall all protobuf stuff save for one single version, preferably the stock version of your Ubuntu, and recompile caffe completely. See what happens. Another idea: is it maybe a python 2 vs python 3 thing? Are you consistently using python 2?

Jan

[Matthew Scott]

I reinstalled the 14.04 and everything works well. THX

在 2016年4月26日星期二 UTC+8下午5:01:36，Jan写道：