CentOs编译caffe的问题

按照网上的教程配置好caffe的环境后

make all -j8

最后出现

non-virtual thunk to caffe::BasePrefetchingDataLayer< float > InternalThreadEntry ()

最后各种查找，google，竟然在http://discuss.cocos2d-x.org/t/error-non-virtual-thunk-to-cocos2d-cclayer-cctouchbegan/9061中一个

回答中找到了一个回答，是由于多类继承中导致了时间上的问题

一想，应该是开始用多线程编译的时候出现的，也比较奇怪，在ubuntu14.04 TLS就没有这个问题

最后将原来编译的全部clean掉，之前有试过用单线程编译，但是忘记了clean，最后导致问题

make clean

make all

就行了

补充。之前在编译到33%时遇到一个奇葩的问题，\caffe-master\src\caffe\layers\base_conv_layer.cpp中出现一个类ConvolutionParameter 识别不了

namespace caffe {

template <typename Dtype>

void BaseConvolutionLayer<Dtype>::LayerSetUp(const vector<Blob<Dtype>*>& bottom,

const vector<Blob<Dtype>*>& top) {

CHECK_EQ(4, bottom[0]->num_axes()) << "Input must have 4 axes, "

<< "corresponding to (num, channels, height, width)";

// Configure the kernel size, padding, stride, and inputs.

ConvolutionParameter conv_param = this->layer_param_.convolution_param();

CHECK(!conv_param.has_kernel_size() !=

!(conv_param.has_kernel_h() && conv_param.has_kernel_w()))

<< "Filter size is kernel_size OR kernel_h and kernel_w; not both";

CHECK(conv_param.has_kernel_size() ||

(conv_param.has_kernel_h() && conv_param.has_kernel_w()))

<< "For non-square filters both kernel_h and kernel_w are required.";

CHECK((!conv_param.has_pad() && conv_param.has_pad_h()

&& conv_param.has_pad_w())

|| (!conv_param.has_pad_h() && !conv_param.has_pad_w()))

<< "pad is pad OR pad_h and pad_w are required.";

CHECK((!conv_param.has_stride() && conv_param.has_stride_h()

&& conv_param.has_stride_w())

|| (!conv_param.has_stride_h() && !conv_param.has_stride_w()))

<< "Stride is stride OR stride_h and stride_w are required.";

if (conv_param.has_kernel_size()) {

kernel_h_ = kernel_w_ = conv_param.kernel_size();

} else {

kernel_h_ = conv_param.kernel_h();

kernel_w_ = conv_param.kernel_w();

}

CHECK_GT(kernel_h_, 0) << "Filter dimensions cannot be zero.";

CHECK_GT(kernel_w_, 0) << "Filter dimensions cannot be zero.";

if (!conv_param.has_pad_h()) {

pad_h_ = pad_w_ = conv_param.pad();

} else {

pad_h_ = conv_param.pad_h();

pad_w_ = conv_param.pad_w();

}