[caffe]thread

CODE

三处定义

class P2PSync : public GPUParams<Dtype>, public Solver<Dtype>::Callback,    public InternalThread {

class BasePrefetchingDataLayer :    public BaseDataLayer<Dtype>, public InternalThread {

class DataLayer : public BasePrefetchingDataLayer<Dtype> { public:  // DataLayer uses DataReader instead for sharing for parallelism  virtual inline bool ShareInParallel() const { return false; } protected:  DataReader reader_;};class DataReader { protected:  // A single body is created per source  class Body : public InternalThread {

启动thread

src/caffe/parallel.cpp: syncs[i]->StartInternalThread();
src/caffe/layers/base_data_layer.cpp: StartInternalThread();
src/caffe/data_reader.cpp: StartInternalThread();

具体分析

设有4个gpu: GPU0, GPU1, GPU2, GPU3

跑root_solver的线程这里叫主线程(GPU0),
主线程进入sync.run(gpus)这个函数之后,

for (int i = 1; i < syncs.size(); ++i) {    //主线程生成了3个新线程(boost thread): bt1,bt2,bt3.    //GPU1,2,3    //这三个线程就会先分别初始化自己的solver->net->layer,    //然后前传后传啥的    syncs[i]->StartInternalThread();  }  // Run root solver on current thread  //主线程()  //已经初始化完了solver->net->layer,准备开始前传后传了  solver_->Solve();

imageDataLayer

//1.继承layer->BaseDataLayerBaseDataLayer, InternalThread->BasePrefetchingDataLayer->ImageLayer//2.shareinparallel -> true

当上面的4个线程初始化imagelayer的时候:
主线程在BasePrefetchingDataLayer的layersetup函数中调用StartInternalThread,也就是生成了一个prefetch的新线程(boost thread):bt_data1
因为imagelayershareinparallel -> true,所以剩下的三个boost thread(bt1,bt2,bt3)根本就不会有对imagelayer进行layersetup的必要.
所以可以说,只有一个imageLayer

DataLayer

class DataLayer : public BasePrefetchingDataLayer<Dtype> { public:  // DataLayer uses DataReader instead for sharing for parallelism  virtual inline bool ShareInParallel() const { return false; } protected:  DataReader reader_;};class DataReader { protected:  // A single body is created per source  class Body : public InternalThread {

不同于imagelayer, datalayer的ShareInParallel是false,
所以,4个线程会有各自的datalayer(共4个)
但是,在主线程初始化它的datalayer时 -> reader_(主线程私有)-> body(4个线程公有)
就是说,主线程新建body后, 剩下三个线程只要调用这个body就好了,不会再新建.
而这个body又对应了一个boost thread: bt_data2

summary

无论是imagelayer还是datalayer, 最后都保证只有一个线程在读数据.