Check failed: MaxTopBlobs() >= top.size() (2 vs. 3) Data Layer produces at most 2 top blob(s) as out

[Hossein Hasanpour]

I am trying  to train on Cifar100, and as you know it has two labels, coarse and fine. 

this is my data layer :

name: "CIFAR100_full"
layer {
  name: "cifar"
  type: "Data"
  top: "data"
  top: "coarse_label"
  top: "fine_label"
  include {
    phase: TRAIN
  }
  transform_param {
    mean_file: "examples/cifar100/mean.binaryproto"
    mirror: true
  }


  data_param {
    source: "examples/cifar100/cifar100_train_leveldb"
    batch_size: 100
    backend: LEVELDB
  }
}
layer {
  name: "cifar"
  type: "Data"
  top: "data"
  top: "coarse_label"
  top: "fine_label"
  include {
    phase: TEST
  }
  transform_param {
    mean_file: "examples/cifar100/mean.binaryproto"
  }
  data_param {
    source: "examples/cifar100/cifar100_test_leveldb"
    batch_size: 50
    backend: LEVELDB
  }
}

and this is how the last layers look like : 

layer {
  name: "accuracy"
  type: "Accuracy"
  bottom: "ip1"
  bottom: "coarse_label"
  bottom: "fine_label"
  top: "accuracy"
  include {
    phase: TEST
  }
}
layer {
  name: "loss"
  type: "SoftmaxWithLoss"
  bottom: "ip1"
  bottom: "coarse_label"
  bottom: "fine_label"
  top: "loss"
}

what is the problem here? I have seen people using more than two top blobs.! what am I missing here? 
Thanks in advance