ResNet50. Своя реализация02.05.2019 20:02

  auto net = sn::Net();

    net.addNode("In", sn::Input(), "conv1")
       .addNode("conv1", sn::Convolution(64, 7, 3, 2, sn::batchNormType::beforeActive, sn::active::none, mode), "pool1_pad")
       .addNode("pool1_pad", sn::Pooling(3, 2, sn::poolType::max, mode), "res2a_branch1 res2a_branch2a");
    
    convBlock(net, vector{ 64, 64, 256 }, 3, 1, "res2a_branch", "res2b_branch2a res2b_branchSum", mode);
    idntBlock(net, vector{ 64, 64, 256 }, 3, "res2b_branch", "res2c_branch2a res2c_branchSum", mode);
    idntBlock(net, vector{ 64, 64, 256}, 3, "res2c_branch", "res3a_branch1 res3a_branch2a", mode);

    convBlock(net, vector{ 128, 128, 512 }, 3, 2, "res3a_branch", "res3b_branch2a res3b_branchSum", mode);
    idntBlock(net, vector{ 128, 128, 512 }, 3, "res3b_branch", "res3c_branch2a res3c_branchSum", mode);
    idntBlock(net, vector{ 128, 128, 512 }, 3, "res3c_branch", "res3d_branch2a res3d_branchSum", mode);
    idntBlock(net, vector{ 128, 128, 512 }, 3, "res3d_branch", "res4a_branch1 res4a_branch2a", mode);

    convBlock(net, vector{ 256, 256, 1024 }, 3, 2, "res4a_branch", "res4b_branch2a res4b_branchSum", mode);
    idntBlock(net, vector{ 256, 256, 1024 }, 3, "res4b_branch", "res4c_branch2a res4c_branchSum", mode);
    idntBlock(net, vector{ 256, 256, 1024 }, 3, "res4c_branch", "res4d_branch2a res4d_branchSum", mode);
    idntBlock(net, vector{ 256, 256, 1024 }, 3, "res4d_branch", "res4e_branch2a res4e_branchSum", mode);
    idntBlock(net, vector{ 256, 256, 1024 }, 3, "res4e_branch", "res4f_branch2a res4f_branchSum", mode);
    idntBlock(net, vector{ 256, 256, 1024 }, 3, "res4f_branch", "res5a_branch1 res5a_branch2a", mode);

    convBlock(net, vector{ 512, 512, 2048 }, 3, 2, "res5a_branch", "res5b_branch2a res5b_branchSum", mode);
    idntBlock(net, vector{ 512, 512, 2048 }, 3, "res5b_branch", "res5c_branch2a res5c_branchSum", mode);
    idntBlock(net, vector{ 512, 512, 2048 }, 3, "res5c_branch", "avg_pool", mode);

    net.addNode("avg_pool", sn::Pooling(7, 7, sn::poolType::avg, mode), "fc1000")
       .addNode("fc1000", sn::FullyConnected(1000, sn::active::none, mode), "LS")
       .addNode("LS", sn::LossFunction(sn::lossType::softMaxToCrossEntropy), "Output");