在Caffe（C或H）的多对多场景中输出LSTM

Question

单个LSTM单元的代码如下（从Caffe src / layers复制）。我的问题是，哪个顶部输出连接到下一层（通常是嵌入或SoftMax）。

是C-top还是H-top？

从代码中，这里是C和H的定义。

Dtype* C = top[0]->mutable_cpu_data();
Dtype* H = top[1]->mutable_cpu_data();

LSTM单元代码

template <typename Dtype>
void LSTMUnitLayer<Dtype>::Forward_cpu(const vector<Blob<Dtype>*>& bottom,
    const vector<Blob<Dtype>*>& top) {
  const int num = bottom[0]->shape(1);
  const int x_dim = hidden_dim_ * 4;
  const Dtype* C_prev = bottom[0]->cpu_data();
  const Dtype* X = bottom[1]->cpu_data();
  const Dtype* cont = bottom[2]->cpu_data();
  Dtype* C = top[0]->mutable_cpu_data();
  Dtype* H = top[1]->mutable_cpu_data();
  for (int n = 0; n < num; ++n) {
    for (int d = 0; d < hidden_dim_; ++d) {
      const Dtype i = sigmoid(X[d]);
      const Dtype f = (*cont == 0) ? 0 :
          (*cont * sigmoid(X[1 * hidden_dim_ + d]));
      const Dtype o = sigmoid(X[2 * hidden_dim_ + d]);
      const Dtype g = tanh(X[3 * hidden_dim_ + d]);
      const Dtype c_prev = C_prev[d];
      const Dtype c = f * c_prev + i * g;
      C[d] = c;
      const Dtype tanh_c = tanh(c);
      H[d] = o * tanh_c;
    }
    C_prev += hidden_dim_;
    X += x_dim;
    C += hidden_dim_;
    H += hidden_dim_;
    ++cont;
  }
}

问题，

因此，如果我们定义一个类似下面的层，那么top（名为“lstm1”）指的是哪个输出，C或H？

layer {
  name: "lstm1"
  type: "LSTM"
  bottom: "fc6-reshape"
  bottom: "reshape-cm"
  top: "lstm1"
  recurrent_param {
    num_output: 8
    weight_filler {
      type: "uniform"
      min: -0.01
      max: 0.01
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}