Using caffe to train network but stop at iteration 0.

Hi,all

I tied to follow below tutorial to use caffe training network.
http://adilmoujahid.com/posts/2016/06/introduction-deep-learning-python-caffe/

firstly,I conquer memory size issue by creating 4GB SWAP in extented SD card.
but When I am trying to train the network, it stops at iteration 0.and no other error message.
what is wrong? how to deal with it?

Hi,

Could you try default MNIST training example?

cd $CAFFE_ROOT
./data/mnist/get_mnist.sh
./examples/mnist/create_mnist.sh
./examples/mnist/train_lenet.sh | tee res.out

yes,MNIST training example can work as well.

Hi,

Could you help to check gpu memory utilization?

Please run this program in a separate ssh link.
It will print out gpu memory utilization information.

#include <iostream>
#include <unistd.h>
#include "cuda.h"

int main()
{
    // show memory usage of GPU
    size_t free_byte ;
    size_t total_byte ;

    while (true )
    {
        cudaError_t cuda_status = cudaMemGetInfo( &free_byte, &total_byte ) ;

        if ( cudaSuccess != cuda_status ){
            std::cout << "Error: cudaMemGetInfo fails, " << cudaGetErrorString(cuda_status) << std::endl;
            exit(1);
        }

        double free_db = (double)free_byte ;
        double total_db = (double)total_byte ;
        double used_db = total_db - free_db ;

        std::cout << "GPU memory usage: used = " << used_db/1024.0/1024.0 << ", free = "
                  << free_db/1024.0/1024.0 << " MB, total = " << total_db/1024.0/1024.0 << " MB" << std::endl;
        sleep(1);
    }

    return 0;
}
nvcc test.cu -o test
./test