Ubuntu 16.04 + caffe + cuda Installation Mannual

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问题描述：

Could not get lock /var/lib/apt/lists/lock - open (11: Resource temporarily unavailable)

 

出现场景：

使用命令：sudo apt-get update

 

原因解析：

在上一次下载资源时，由于网络问题，下载失败。当换一个较好一点网络环境之后，下载失败报错。

原因在于，上一次不正常的关闭下载，导致资源被锁不可用，删除异常的资源，重新下载即可。

 

解决方案：

运行以下命令，删除资源：

sudo rm /var/cache/apt/archives/lock

sudo rm /var/lib/dpkg/lock

之后重新使用命令：sudo apt-get update，可以重新正常下载。

 

PS：如有不正确之处，欢迎指正！

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“fatal error: hdf5.h: 没有那个文件或目录”解决方法

参考自http://blog.csdn.net/hongye000000/article/details/51043913

Step 1

在Makefile.config文件的第85行，添加/usr/include/hdf5/serial/ 到INCLUDE_DIRS，也就是把下面第一行代码改为第二行代码。

INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include
1

INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include /usr/include/hdf5/serial/

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Error when Building GPU docker image for caffe: Unsupported gpu architecture 'compute_60'

2 down vote accepted

In the Makefile.example, try commenting out the *_60 and *_61 lines (for compatibility with CUDA < 8.0).

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_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

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Build caffe fails on Ubuntu 16.04 (‘memcpy’ was not declared in this scope)

转载 2016年05月29日 13:50:47

• 
  

You could try to pass an argument (CXX_FLAGS) to the compiler -D_FORCE_INLINES by editing the CMAKE files (for example: set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -D_FORCE_INLINES")) or makefiles.

So, Open the Makefile and changing the line

NVCCFLAGS += -ccbin=$(CXX) -Xcompiler -fPIC $(COMMON_FLAGS)

into

NVCCFLAGS += -D_FORCE_INLINES -ccbin=$(CXX) -Xcompiler -fPIC $(COMMON_FLAGS)

For me this was on line 406

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在make py的时候，遇到了这个错误:

/usr/bin/ld: cannot find -lhdf5_hl/usr/bin/ld: cannot find -lhdf5collect2: error: ld returned 1 exit status

这说明连接器找不到　hdf5_hl和hdf5这两个库，没法进行链接。
我的解决方案是更改makefile:在ｍakefile中作如下更改：

#LIBRARIES += glog gflags protobuf boost_system boost_filesystem m hdf5_hl hdf5LIBRARIES += glog gflags protobuf boost_system boost_filesystem m hdf5_serial_hl hdf5_serial