On Mon, Apr 27, 2015 at 2:24 PM, Detlef Schmicker <d...@physik.de> wrote:
> Sorry, it is not, > > > but I offer my trained DCNN http://physik.de/net.tgz > > it has about 44% prediction rate and uses only the position.... > > it a a caffe file which is quite easy to use: > > Sorry to reply to a message that that’s over a year old. I just managed to integrate Caffe with my Go bot which is written in Rust. Unfortunately the Rust binding doesn’t return the output of the net when I run the forward. Instead it requires me to find the right blob my name. Looking at the prototxt file I assumes that the blob would be named softmax, but when I do that I get an error. That could either mean that I just picked the wrong blob (could it be ip or ip_zw?) or that getting the blob isn’t even enough to get at the output. Does anybody who tried out this net remember what they did to get it to work? I know it’s a long shot but it would be great if I could get this to work. Or rather I have this working but I don’t even know if I’m even using data that does make sense. Cheers, Urban > void Engine::getCNN(Go::Board *board,Go::Color col, float result[]) > { > int size=board->getSize(); > float *data; > data= new float[2*size*size]; > //fprintf(stderr,"2\n"); > if (col==Go::BLACK) { > for (int j=0;j<size;j++) > for (int k=0;k<size;k++) > {//fprintf(stderr,"%d %d %d\n",i,j,k); > if (board->getColor(Go::Position::xy2pos(j,k,size))==Go::BLACK) > { > data[j*size+k]=1.0; > data[size*size+size*j+k]=0.0; > } > else if > (board->getColor(Go::Position::xy2pos(j,k,size))==Go::WHITE) > { > data[j*size+k]=0.0; > data[size*size+size*j+k]=1.0; > } > else > { > data[j*size+k]=0.0; > data[size*size+size*j+k]=0.0; > } > } > } > if (col==Go::WHITE) { > for (int j=0;j<size;j++) > for (int k=0;k<size;k++) > {//fprintf(stderr,"%d %d %d\n",i,j,k); > if (board->getColor(Go::Position::xy2pos(j,k,size))==Go::BLACK) > { > data[j*size+k]=0.0; > data[size*size+size*j+k]=1.0; > } > else if > (board->getColor(Go::Position::xy2pos(j,k,size))==Go::WHITE) > { > data[j*size+k]=1.0; > data[size*size+size*j+k]=0.0; > } > else > { > data[j*size+k]=0.0; > data[size*size+size*j+k]=0.0; > } > } > } > > > Blob<float> *b=new Blob<float>(1,2,size,size); > b->set_cpu_data(data); > vector<Blob<float>*> bottom; > bottom.push_back(b); > const vector<Blob<float>*>& rr = caffe_test_net->Forward(bottom); > //for (int j=0;j<19;j++) > //{ > //for (int k=0;k<19;k++) > // { > // fprintf(stderr,"%5.3f ",rr[0]->cpu_data()[j*19+k]); > // } > //fprintf(stderr,"\n"); > //} > for (int i=0;i<size*size;i++) { > result[i]=rr[0]->cpu_data()[i]; > if (result[i]<0.00001) result[i]=0.00001; > } > delete[] data; > delete b; > > } > > > > Am 27.04.2015 um 13:44 schrieb Petr Baudis: > >> On Mon, Apr 27, 2015 at 12:35:05PM +0200, Detlef Schmicker wrote: >> >>> I dont see a reason, why there should be any problems using it with >>> DNN on 19x19 trained network. If a 25x25 will be sheduled, I will >>> take part :) >>> >> I'm sorry for being unclear! I actually meant DCNN as a standalone >> player, not part of MCTS. Is it possible to run oakfoam's DCNN >> implementation like that? (Have you measured its stength?) >> >> Thanks, >> >> Petr Baudis >> _______________________________________________ >> Computer-go mailing list >> Computer-go@computer-go.org >> http://computer-go.org/mailman/listinfo/computer-go >> >> > _______________________________________________ > Computer-go mailing list > Computer-go@computer-go.org > http://computer-go.org/mailman/listinfo/computer-go > -- Blog: http://bettong.net/ Twitter: https://twitter.com/ujh Homepage: http://www.urbanhafner.com/
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