我已经在我的linux机器上安装了anaconda3和cuda9(准确地说是aws),当我按照官方文档检查caffe2安装时,它会显示成功消息,但当我使用以下脚本python2 -c 'from caffe2.python import workspace; print(workspace.NumCudaDevices())'检查GPU时,我会看到以下结果Logging before InitGoogleLogging() is written to STDERR E0729 20:58:01.995159 2016 common_gpu.cc:42] Found an un
我正在使用boost 1.66在Ubuntu17.04系统上安装caffe。我能够毫无问题地执行make all和make test:
me@icvr1:~/PackageDownloads/caffe$ make all
make: Nothing to be done for 'all'.
me@icvr1:~/PackageDownloads/caffe$ make test
make: Nothing to be done for 'test'.
然而,当我尝试make runtest时,我会得到以下错误:
me@icvr1:~/PackageDownl
我已经在conda环境中使用这个conda install protobuf==2.6.1安装了protobuf。因此,一旦我想要安装一个软件,它会显示以下错误消息:
#error This file was generated by a newer version of protoc which is
#error This file was generated by a newer version of protoc which is
^
.build_release/src/caffe/proto/caffe.pb.h:13:2: error: #error incompatib
我正在尝试安装caffe,但遇到了以下错误
sudo apt-get install caffe-cpu
[sudo] password for :
Reading package lists... Done
Building dependency tree
Reading state information... Done
E: Unable to locate package caffe-cpu
这是我的版本:
lsb_release -a
No LSB modules are available.
Distributor ID: Ubuntu
Description:
我正在尝试安装这个https://github.com/NVlabs/ssn_超像素,但是下面有错误。
CMake Error: The following variables are used in this project, but they are set to NOTFOUND.
Please set them or make sure they are set and tested correctly in the CMake files:
CUDA_cublas_LIBRARY (ADVANCED)
linked by target "caffe" in d
我已经用命令安装了pytorch:
conda install pytorch torchvision cudatoolkit=10.2 -c pytorch -y
Python对代码行import torch报错,消息如下:
Could not find module 'C:\ProgramData\Anaconda3\envs\edx\lib\site-packages\torch\lib\caffe2_nvrtc.dll' (or one of its dependencies). Try using the full path with constructor synt
Ubuntu 18.04 Python 2.7 我的问题是我无法在python中导入caffe模块,即使我已经安装了它。我认为这是一个路径/环境变量问题。 rivaldo4t@Rivaldo-OS3:~$ python
Python 2.7.15rc1 (default, Nov 12 2018, 14:31:15)
[GCC 7.3.0] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>>
我正在尝试在ubuntu17.10上安装
然而,当我执行make all时,我得到了以下错误:
./include/caffe/common.hpp(84): error: namespace "std" has no member "isnan"
./include/caffe/common.hpp(85): error: namespace "std" has no member "isinf"
2 errors detected in the compilation of "/tmp/tmpxft_0000492
我使用"conda install caffe“安装了caffe,但当我在终端中输入"import caffe”时,出现了以下错误:
Python 2.7.14 |Anaconda custom (64-bit)| (default, Oct 16 2017, 17:29:19)
[GCC 7.2.0] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>&
我正在尝试安装Caffe库,但是由于我的系统中安装了错误的protobuf版本,所以我遇到了编译问题。
In file included from .build_release/src/caffe/proto/caffe.pb.cc:5:0:
.build_release/src/caffe/proto/caffe.pb.h:17:2: error: #error This file was generated by an older version of protoc which is
#error This file was generated by an older version o
我已经把cudnn和cuda安装在ubuntu里了,我
使所有的-j4
在caffe目录下,它通过得很好。但当我
做试验
它显示:
CXX src/caffe/test/test_im2col_layer.cpp
In file included from ./include/caffe/util/device_alternate.hpp:40:0,
from ./include/caffe/common.hpp:19,
from ./include/caffe/blob.hpp:8,
我想在ubuntu上安装caffe,我已经安装了cudnn/cuda/anaconda/openCV。但是当我在caffe-master文件夹下make all -j4时,它显示
/usr/lib/x86_64-linux-gnu/libunwind.so.8: undefined reference to lzma_index_buffer_decode@XZ_5.0
/usr/lib/x86_64-linux-gnu/libunwind.so.8: undefined reference to lzma_index_size@XZ_5.0
/usr/lib/x86_64-linux-g
我之前已经安装了caffe和Fast-RCNN,所以我应该拥有所有需要的库和依赖项。
我需要为另一个使用Caffe的存储库()重新安装它。
当我跑的时候
make all
它给出了以下错误:
CXX .build_release/src/caffe/proto/caffe.pb.cc
In file included from .build_release/src/caffe/proto/caffe.pb.cc:5:0:
.build_release/src/caffe/proto/caffe.pb.h:12:2: error: #error This file was generated b
我正在尝试安装Caffe,但我遇到了这个令人沮丧的错误。当我运行make时,我得到以下结果:
CXX .build_release/src/caffe/proto/caffe.pb.cc
In file included from .build_release/src/caffe/proto/caffe.pb.cc:5:0:
.build_release/src/caffe/proto/caffe.pb.h:9:42: fatal error: google/protobuf/stubs/common.h: No such file or directory
compilation termi
我以非管理员身份开始在Linux上使用Caffe框架,Caffe是在我的帐户上安装的。我转到usr/local/caffe路径并开始运行./create_cifar10.sh.But的cifar10示例,我得到了这个错误:
./create_cifar10.sh: 12: ./create_cifar10.sh: ./build/examples/cifar10/convert_cifar_data.bin: not found
我已经检查了构建目录,那里有一个名为convert_cifar_data.bin的文件。我该怎么解决它呢?
我正在尝试在我的windows上安装caffe,我已经正确地将caffe lib复制到我的python site-packages文件夹下并安装了protobuf。但我仍然收到错误消息:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\Anaconda2\lib\site-packages\spyderlib\widgets\externalshell\sitecustomize.py", line 699, in ru
我用的指令尝试了caffe安装,ubuntu安装命令sudo apt install caffe-cuda在错误的情况下根本无法工作。
Package caffe-cuda is not available, but is referred to by another package.
This may mean that the package is missing, has been obsoleted, or
is only available from another source
E: Package 'caffe-cuda' has no installation
我正在尝试安装,但在执行make ops时遇到问题。
首先,我得到错误Caffe2Config.cmake not found,但按照此处的说明操作后,Caffe2Config.cmake最终位于build目录下。
如果将路径添加到build文件夹,则会出现以下错误:
CMake Error at /home/erikbylow/Code/LocalLibs/pytorch/build/Caffe2Config.cmake:14 (include):
include could not find load file:
/home/erikbylow/Code/LocalLib