private static void Oneoff(string cfgfile, string weightfile, string outfile)
{
CudaUtils.UseGpu = false;
Network net = Parser.parse_network_cfg(cfgfile);
int oldn = net.Layers[net.N - 2].N;
int c = net.Layers[net.N - 2].C;
net.Layers[net.N - 2].N = 9372;
net.Layers[net.N - 2].BiasesIndex += 5;
net.Layers[net.N - 2].WeightsIndex += 5 * c;
if (!string.IsNullOrEmpty(weightfile))
{
Parser.load_weights(net, weightfile);
}
net.Layers[net.N - 2].BiasesIndex -= 5;
net.Layers[net.N - 2].WeightsIndex -= 5 * c;
net.Layers[net.N - 2].N = oldn;
Console.Write($"%d\n", oldn);
Layer l = net.Layers[net.N - 2];
Blas.Copy_cpu(l.N / 3, l.BiasesComplete, l.BiasesComplete, l.BiasesIndex, l.BiasesIndex + l.N / 3);
Blas.Copy_cpu(l.N / 3, l.BiasesComplete, l.BiasesComplete, l.BiasesIndex, l.BiasesIndex + 2 * l.N / 3);
Blas.Copy_cpu(l.N / 3 * l.C, l.WeightsComplete, l.WeightsComplete, l.WeightsIndex, l.WeightsIndex + l.N / 3 * l.C);
Blas.Copy_cpu(l.N / 3 * l.C, l.WeightsComplete, l.WeightsComplete, l.WeightsIndex, l.WeightsIndex + 2 * l.N / 3 * l.C);
net.Seen = 0;
Parser.save_weights(net, outfile);
}
